bluuebunny/crossref_metadata_2025 huggingface dataset:
MAIN FACTORS INFLUENCING EFFECTIVE FUNCTIONING OF AUTOSERVICE ENTERPRISES
Authors: Pernebekov Saken Sadibekovich , Dutbayev Zhaksylyk Toktasynovich , Tortbayeva Dinara Ryskulbekovna , Tortbayeva Antonina Vasilievna
Published: September 2021

In the current conditions of qualitative transformations in various sectors of the economy of the Republic of Kazakhstan and the entire system of economic relations, the problem of the functioning of modern car service enterprises for the mainten,ance and repair of individual vehicles becomes especially relevant. This problem is primarily related to the main tasks facing road transport enterprises and is the main component of the efficiency of economic activities of enterprises. The large variety of factors influencing the work of car service enterprises makes it difficult, first of all, to classify them and requires information about their similar groups. The main groups of factors influencing the effective functioning of car service enterprises are divided into general and specialized factors. At the same time, factors of direct impact directly affect the work of car service enterprises, and factors of an indirect nature do not directly affect the activities of enterprises, but it is necessary to keep records of them in order to make appropriate decisions.

In the current economic conditions, car service enterprises, despite their departmental affiliation, have to rationally resolve some contradictions that are caused by the obvious imperfection of the structural relations themselves. At the same time, one can still observe a very high level of depreciation of the main equipment and an acute shortage of acceptable sources of financing, the impossibility of obtaining credit funds due to high interest rates. All these problems, first of all, significantly restrain the very process of demand for the implementation of transport services for car maintenance. Therefore, in this current situation, car service enterprises are forced to look for their internal reserves and capabilities. It is on the solution of all these above-mentioned problems that the identification or establishment of the so-called controllable factors that affect the production activities of car service enterprises will depend.
РАСЧЕТ И АНАЛИЗ БЕЗОПАСНОСТИ СИСТЕМЫ ГРАВИРОВАЛЬНОЙ УСТАНОВКИ
Authors: Юсупова Салтанат Абеновна , Чигамбаев Темырбай Отарбаевич , Бижанов Даурен Ерланулы
Published: September 2021

В статье произведены расчет и анализ безопасности системы портативного лазерного гравера с использованием различных материалов и поверхностей обработки.
МОНИТОРИНГ ВЫБРОСОВ ЗАГРЯЗНИТЕЛЕЙ ОТ АВТОМОБИЛЬНОГО ТРАНСПОРТА В АТМОСФЕРНЫЙ ВОЗДУХ ГОРОДА ШЫМКЕНТА
Authors: Джайлаубеков Еркин Альмагамбетович , Тазабеков Асет Жумагалиевич , Бекболатов Габит Жахангерович
Published: September 2021

Город Шымкент один из крупных городов Казахстана с населением, достигающим  1,0 миллиона человек, с развитой индустрией, транспортом и инфраструктурой. Основной острой экологической проблемой города является загрязнение атмосферного воздуха. Уровень загрязнения атмосферного воздуха, оцениваемой индексом загрязнения атмосферы ИЗА5, достигает в среднем за год до значения 7 ед.  как высокий уровень загрязнения.

Изучена существующая структура автотранспортных средств города. Дан прогноз изменения численности автотранспорта с учетом развития города на 2020-2024 годы.  Проведен расчет валовых выбросов загрязняющих веществ от автотранспорта при инертном, активном и интенсивном сценариях его развития. Сделан анализ показателей выбросов от автотранспорта на прогнозный период.

Количество выбросов загрязняющих веществ от автомобильного транспорта по городу на 2020 год составляет 46778 тонн.  При активных сценариях развития выбросы загрязняющих веществ от автомобильного транспорта на 2022 год составит 37116 тонн и на 2024 год – 35646 тонн. При интенсивных сценариях развития выбросы загрязняющих веществ от автомобильного транспорта на 2022 год составит 33410 тонн и на 2024 год - 26611 тонна. При интенсивном регулировании развития автотранспорта имеется возможность сокращения валовых выбросов загрязняющих веществ от уровня 2019 года на 17,3 % в 2022 году и на 34,1 % в 2024 году.

Предлагаются целевые показатели количества выбросов загрязняющих веществ от автомобильного транспорта на 2022 год - 33400 т и на 2024 год - 26600 т.

Составлены мероприятия по развитию транспорта и снижению выбросов загрязняющих веществ от автомобильного транспорта на окружающую среду города Шымкент.

Реализация предложенных мероприятий и достижение целевых показателей позволяют сокращения валовых выбросов загрязняющих веществ от уровня 2019 года на 17,3 % в 2022 году и на 34,1 % в 2024 году. Обеспечивается качество воздушной  среды и улучшится  экологическая обстановка на территории города Шымкента.
The system of monitoring of inhibitory drug residues in raw cows' milk in Slovakia
Authors: Zajác Peter , Zubrická Stanislava , Čapla Jozef , Čurlej Jozef , Drončovský Maroš
Published: September 2021

This article provides brief information on the system of monitoring raw cows’ milk for the presence of inhibitory veterinary drug residues in the Slovak Republic. We are describing in detail how the monitoring is carried out and what laboratory methods are used for this monitoring. We also deal with the issue of the disposal of contaminated milk. The presence of inhibitory veterinary drugs like antibiotics or residues of these drugs in milk in an amount exceeding maximal residual limits defined in legislation is illegal. Milk supplies containing detectable concentrations are not acceptable. The reputation of milk as a healthy and safe food should be protected. Dairy companies and consequently consumers want to be confident that milk and milk products are free of inhibitory veterinary drugs contamination. Small amounts of certain antimicrobial agents may affect antibiotic resistance in the human population, some percentage of the population is hypersensitive to antibiotics and other drugs. The presence of drug residues in milk affects the technological process of the production of fermented dairy products. Each country should implement a system of monitoring these drugs' residues in food. The system, which is applied in Slovakia, is effective, it can detect and the presence of these substances before milk processing in dairies. The total incidence of these substances in 2020 was 0.025% of all 12,181 samples tested in central testing laboratories. During the last 20 years.
Evaluation the Frequency of Cerebral Arterial Fenestrations and Their Association with Cerebral Aneurysm by CT Angiography
Authors: Pekçevik Rıdvan , Pekçevik Yeliz
Published: September 2021

Objective: Fenestration is a vascular variation that begins with a common origin, then splits into two parallel luminal channels that rejoins distally. We aim to evalute the frequency of cerebral arterial fenestrations and their association with cerebral aneurysm by computed tomography (CT) angiography. Methods: We retrospectively analyzed cerebral CT angiography of patients obtained between January 2017 and December 2020. Patients older than 18 years-old, without known vascular disease and previous surgery or interventional treatment were included the study. The location of the fenestration and aneurysms were noted. Results: CT angiographies of 887 patients (mean age 54.8 years, range 18-63 years; 405 women and 482 men) were evaluated. 164 fenestrastions found in 152 patients for a detection rate of 17.1%. Anterior communicating artery fenestrations were the most common (51.2%), followed by vertebrobasilar system fenestration (28.7%). In our study, no significant relationship was found between fenestration and aneurysm, regardless of localization (p>0.05). However, in the coexistence of fenestration and aneurysm, these are commonly located at the same localization (p: 0.005). Conclusion: Cerebral artery fenestration is an uncommon and mostly affects the anterior communicating artery and vertebrobasilar system. Cerebral artery fenestrations could be associated with aneurysms at the fenestration site. Further attention should be paid to the coexistence of aneurysm once intracranial artery fenestration has been found.
The Impact of Chemotherapy on the EORTC QLQ-C30 and LC-13 Quality of Life Scales in Patients with Lung Cancer
Authors: Güvençli Müge , Yalnız Enver , Kömürcüoğlu Berna , Erbaycu Ahmet Emin , Karakurt Gamze
Published: September 2021

Objective: The concept of quality of life (QoL) in lung cancer includes many physical, psychological and social components. We aimed to assess the effect of chemotherapy (CT) on QoL of lung cancer patients using QoL scales. Methods: Fifty inoperable lung cancer patients who were newly diagnosed and taken into a CT plan were included. Patients were followed in terms of responsiveness and toxicity. Turkish versions of the EORTC QLQ-C30 and LC13 scales were used before every cycles. Results: The average age was 60.1 years. There was no difference between QoL and age/income levels. The assessment of physical, social and occupational functions and overall health status of the male patients was better than female. Overall health status without comorbidity was better in the first cycle CT. Chemotherapy led to deterioration in social functions and economic status together with increase in neuropathy, constipation and hair loss. Patients with complete or partial response to treatment were observed to have better physical, occupational, emotional, cognitive and social functions, economic status and overall health; less fatigue, pain, shortness of breath, neuropathy and better appetite. Toxicities were found to affect the QLQ C30 and LC13 scales adversely. Conclusion: Presence of comorbidity, low education levels, socioeconomic status and CT induced hematologic/gastrointestinal toxicities are the major parameters affect QOL in lung cancer. Chemotherapy leads to deterioration in social functions, increase in adverse events as well as worsening in economic status. Radiologic complete or partial response and small cell carcinoma are states in which parameters of QoL are affected positively by chemotherapy.
中国对外商品贸易需求偏好相似理论的再验证
Authors: 秦 依漫 , 杨 雅芬 , 吴 少婷 , 杨 国梁
Published: September 2021

需求偏好相似理论认为国际贸易是国内贸易的延伸，产品的出口结构、流向及贸易量的大小决定于本国的需求偏好；而一国的需求偏好又决定于该国的平均收入水平，因此大量贸易额应该存在于具有相似需求的国家。当前中国对外贸易呈现出经济总量接近发达国家，平均收入却属于发展中国家水平；且各国在不同类别商品贸易性质各异，对于需求偏好相似理论是否成立则需进一步验证。本文分别以1995年~2019年间，中国与发展中、转型和发达经济体之间，国内生产毛额与平均收入水平对一般商品与通信技术商品（ICT）的贸易结构进行实证分析，以检验中国的对外贸易结构是否符合需求偏好相似理论。研究结果显示需求偏好相似理论在中国对外贸易上存在显著的滞后效应，而需求偏好相似理论较能验证在中国对转型经济体间，以经济总量衡量的贸易，此结论在一般商品与ICT商品上并无差异。
经验主义语义观
Authors: 方 言清
Published: September 2021

经验主义语义观是语义学发展过程中的重要观点，其主导思想为始于20世纪20年代维也纳学派的逻辑实证主义。本文就经验主义语义观的理论背景（哲学家们关于词与事物联系问题和经验主义哲学家的观点）、逻辑实证主义、逻辑实证主义代表人物、实证方法等方面进行了探讨，从而对经验主义语义观有了一定的了解。
ANZ Tennis Hot Shots: Desarrollar, nutrir y fomentar la participación
Authors: McInerney Patrick , Urquhart Rob , McDonald Rebecca , Hewitt Mitchell
Published: September 2021

ANZ Tennis Hot Shots es el programa oficial de desarrollo de Tennis Australia diseñado específicamente para la iniciar en el tenis a los escolares de entre 5 y 12 años. En el centro del programa hay una filosofía innovadora y práctica llamada “Aprendizaje por medio del juego”. Esto significa que jugar al tenis o versiones modificadas de éste, es clave en todas las sesiones. El uso del material adaptado, incluyendo las canchas más pequeñas y las pelotas con menor presión, asegura que los niños ingresen al tenis en un entorno adecuado para sus edades y niveles de habilidad. Este método hace que el aprendizaje del tenis sea divertido y más fácil, y como resultado, habrá más niños jugando con un mejor nivel.
Pengaruh Penambahan Viscosity Modifier dan Hidrogen Peroksida (H2O2) terhadap Recovery Emas dan Perak
Authors: Fitria Fitria , Sobah Saripah
Published: September 2021

Metode ekstraksi emas yang saat ini banyak digunakan untuk keperluan eksploitasi emas skala industri adalah metode sianidasi dan metode amalgamasi. Recovery logam minor seperti emas dan perak untuk skala industri pada umumnya menggunakan teknik hidrometalurgi atau leaching (pelarutan selektif). Banyak reagen atau pereaksi yang bisa digunakan untuk proses leaching guna mengekstrak logam emas dan perak dari bijihnya, diantara reagen-reagen tersebut salah satunya menggunakan reagen sianida. tujuan dari percobaan Mengetahui Pengaruh viscosity modifier terhadap perolehan rekoveri  emas dan mengetahui pengaruh hidrogen peroksida (H2O2) terhadap perolehan recovery emas. Ore yang digunakan dalam penelitian berukuran 37 ?m, dimasukkan kedalam botol A, B, C, D, E dan F dan tambahkan air sebanyak 733 ml, viscosity modifier sebanyak 0, 100, 200, 300, 400 dan 500 ppm, diputar selama 5 menit kemudian ditambahkan CN 10% selanjutnya botol diputar selama 2, 4, 8, 24, 32 dan 48 jam hal yang sama dilakukan pada penambahan hidrogen peroksida. Dari hasil penelitian yang dilakukan penambahan viscosity modifier 100 hingga 300 ppm  dapat menaikkan recovery Au sebanyak 1,58 % untuk Ag tidak menunjukkan pengaruh kenaikan recovery. Penambahan H2O2 tidak berpengaruh terhadap kenaikan recovery Au (emas) tetapi dapat menaikkan recovery Ag sebesar 1,21747 % untuk 400 ppm, dan 1.58937 % untuk 500 ppm.
Proses Pengolahan Air Pada Prasedimentasi Ditinjau dari Laju Alir dan Waktu Pengendapan Di PLTG Borang
Authors: Pratama Gading Ananda Putra , Dewi Erwana , Meidinariasty Anerasari
Published: September 2021

Kebutuhan industri akan air bersih sangatlah tinggi sehingga diperlukan proses pengolahan. PLTG Borang merupakan salah satu industri yang mendapatkan air bersih dengan melakukan pengolahan pada unit Water Treatment Plant. Unit WTP di PLTG Borang mengalami permasalahan di beberapa alat seperti misalnya pada prasedimentasi. alat ini berfungsi sebagai tempat proses pengendapan partikel diskrit seperti pasir, lempung, dan zat-zat padat lainnya yang bisa mengendap secara gravitasi. Data-data yang dijadikan sumber yaitu data variabel proses dan hasil kualitas mutu air setelah pengolahan pada prasedimentasi. Data variabel proses yang diperlukan yaitu laju alir, waktu pengendapan. Sedangkan kriteria kualitas yang diperlukan yaitu turbiditas, TDS, dan TSS. Variabel proses divariasikan yaitu; laju alir 1, 2, 3, 4 dan 5 L/detik; waktu pengendapan 50, 75 dan 100. Analisis data yang dilakukan yaitu dengan menginterpretasikan data hasil pengamatan dan menyajikannya dalam bentuk grafik kemudian akan diperoleh kesimpulan. Variabel proses yang optimal adalah laju alir 1 L/detik, dan waktu pengendapan 100 menit. Hasil kualitas air setelah pengolahan di prasedimentasi yaitu Turbiditas 370 NTU; TDS 605 ppm; dan TSS 402 ppm.
Sintesis dan Karakterisasi Na-CMC dari A-Selulosa Serabut Kelapa Sawit
Authors: Indriani Indriani , Hasan Abu , Meydinariasty Anerasari
Published: September 2021

Na-CMC adalah eter polimer selulosa linier yang digunakan sebagai bahan pengental, pengemulsi dan penstabil. Salah satu bahan dasar pembuatan Na-CMC yaitu serabut kelapa sawit. Serabut kelapa sawit merupakan salah satu hasil samping terbesar yang dihasilkan dalam proses pengolahan minyak kelapa sawit dan dapat dapat dijadikan sebagai sumber selulosa karena mengandung selulosa hingga 59,60%. Tujuan dari penelitian ini untuk mendaptakan komposisi optimal campuran media reaksi isopropanol-etanol dan konsentrasi asam trikloroasetat serta konsentrasi NaOH dengan memvariasikan komposisi media reaksi isopropanol-etanol menjadi 20:80; 40:60; 50:50; 60:40 dan 80:20, sedangkan untuk konsentrasi asam trikloroasetat yaitu 15%, 20% san 25% dan untuk konsentrasi NaOH adlah 15% dan 20%. Didapat bahwa  komposisi optimal media reaksi pada proses sintesis Na-CMC terdapat pada campuran isopropanol-etanol 80:20 dengan konsentrasi asam trikloroasetat 25% dan konsentrasi NaOH 20% menghasilkan nilai DS yang tertinggi yaitu sebesar 0,8124 dengan kemurnian dan pH berturut-turut sebesar 99,68% dan 7,9.

 

Na-CMC is a linear cellulose polymer ether used as a thickener, emulsifier and stabilizer. One of the basic ingredients for making Na-CMC is palm fiber. Palm fiber is one of the largest by-products produced in the palm oil processing process and can be used as a source of cellulose because it contains up to 59.60% cellulose. The purpose of this study was to obtain the optimal composition of the isopropanol-ethanol reaction media mixture and the concentration of trichloroacetic acid and NaOH concentration by varying the composition of the isopropanol-ethanol reaction medium to 20:80; 40:60; 50:50; 60:40 and 80:20, while the concentrations of trichloroacetic acid were 15%, 20% and 25% and the concentrations of NaOH were 15% and 20%, respectively. It was found that the optimal composition of the reaction medium in the Na-CMC synthesis process was found in a mixture of isopropanol-ethanol 80:20 with a concentration of 25% trichloroacetic acid and 20% NaOH concentration resulting in the highest DS value of 0.8124 with purity and pH respectively. 99.68% and 7.9.
L’anticipation de la défaillance des entreprises clientes des établissements bancaires marocains via la méthode de la régression logistique
Authors: JEBBARI Abdelilah , EL ZANATI Driss
Published: September 2021

La modélisation de la probabilité de défaillance des emprunteurs d’un établissement bancaire marocain par le biais du modèle de la régression logistique interpelle, d’ors et déjà, l’attention des académiciens et des professionnels spécialisés en finance. Le but étant d’étudier et analyser les différents points forts et points faibles de ce modèle dans la prédiction de défaut auprès d’un échantillon de 302 entreprises clientes des principales banques au Maroc, opérant dans différents secteurs d’activités économiques, choisi d’une manière aléatoire. A travers les résultats obtenus, il s’avère que l’indice de performance du modèle est de l’ordre de 0,983, qui est alors proche de 1. Ainsi, la courbe Receiver operatinh characteristic (ROC) du modèle logistique est au-dessus de celle du modèle aléatoire, ce qui permet de rejeter l’hypothèse nulle qui suppose que le modèle logistique est équivalent au modèle aléatoire. Toutefois, nous avons pu soulever certaines limites de notre modèle semi paramétrique susceptibles d’altérer l’évaluation d’un dossier de crédit dans un établissement bancaire. Par conséquent, on peut dire que le gestionnaire du risque de crédit doit prendre en compte d’autres paramètres afin de pallier aux insuffisances dudit modèle.
A blueprint for effective pandemic mitigation
Authors: Ness B. Shroff  , Zhiqiang Lin  , Dong Xuan  , Fang Liu  , Wenbo Ren  , Rahul Singh
Published: September 2021

Traditional methods for mitigating pandemics employ a dual strategy of contact tracing plus testing combined with quarantining and isolation. The contact tracing aspect is usually done via manual (human) contact tracers, which are labor-intensive and expensive. In many large-scale pandemics (e.g., COVID-19), testing capacity is resource limited, and current myopic testing strategies are resource wasteful. To address these challenges, in this work, we provide a blueprint on how to contain the spread of a pandemic by leveraging wireless technologies and advances in sequential learning for efficiently using testing resources in order to mitigate the spread of a large-scale pandemic.

We study how different wireless technologies could be leveraged to improve contact tracing and reduce the probabilities of detection and false alarms. The idea is to integrate different streams of data in order to create a susceptibility graph whose nodes correspond to an individual and whose links correspond to spreading probabilities. We then show how to develop efficient sequential learning based algorithms in order to minimize the spread of the virus infection. In particular, we show that current contact tracing plus testing strategies that are aimed at identifying (and testing) individuals with the highest probability of infection are inefficient. Rather, we argue that in a resource constrained testing environment, it is instead better to test those individuals whose expected impact on virus spread is the highest. We rigorously formulate the resource constrained testing problem as a sequential learning problem and provide efficient algorithms to solve it. We also provide numerical results that show the efficacy of our testing strategy.
University Student Core Competencies – China’s Experience
Authors: Wang Yu-mei , Xue Changsong , Hua Tong
Published: September 2021

Recent years have witnessed China’s great efforts in promoting student core competencies with the purpose of raising the quality of university graduates. To remain competitive in the global economy, the education system in China is expected to supply highly qualified and highly talented university graduates to the labor market. The present study is designed to investigate university student development of core competencies in China. The purpose of this study is to provide a basic profile of where university students are standing in the development of core competencies. Findings of the research are discussed. Information and insights gleaned through this study are helpful in developing strategies in cultivating university student core competencies to meet challenges of 21st century.
Gender Differences in Child Malnutrition in Ethiopia: Evidence from Three Decomposition Techniques
Authors: Wang Meijuan , Nadolnyak Denis , Hartarska Valentina
Published: September 2021

Ethiopia has one of the highest under-five child mortality rate in the world, which is higher for boys than for girls. Malnutrition is a major contributing factor to child mortality and that is why we assess the differences in child malnutrition status of boys and girls. Specifically, we study the extent to which the gender differences in malnutrition are associated with observable factors and socio-economic characteristics and to what extent these differences are unexplained and attributable to factors such as latent parental preferences, societal biases, and other unobservable factors. We use data from the Ethiopia Demographic and Health Survey and evaluate three anthropometric status measures – wasting, stunting, and being underweight. We utilize a reduced-form demand for nutrition framework and several decomposition techniques: Oaxaca-Blinder decomposition for non-linear models, Machado-Mata quantile decomposition, and the recentered influence function. The results indicate that measurable socioeconomic and locational characteristics have significant and plausible associations with malnutrition by gender. We also find that 3% to 4% of the difference in the anthropometric status may be attributable to unobservable factors that may include implicit parental preferences. This approach is useful in evaluating gender differences in other human capital development outcomes such as health and education, as well as those in malnutrition.
Role of Ti3AlC2 MAX phase on characteristics of in-situ synthesized TiAl intermetallics. Part I: sintering and densification
Authors: Akhlaghi Maryam , Salahi Esmaeil , Tayebifard Seyed Ali , Schmidt Gert
Published: September 2021

Five TiAl–Ti3AlC2 composite samples containing (10, 15, 20, 25 and 30 wt% Ti3AlC2 MAX phase) were prepared by spark plasma sintering technique at 900 °C for 7 min under 40 MPa. For this purpose, metallic titanium and aluminum powders (aiming at the in-situ formation of the TiAl matrix phase) were ball-milled with predetermined contents of Ti3AlC2 MAX phase, which already was synthesized using the same metallic powders as well as graphite flakes. Displacement-time-temperature variations during the heating and sintering steps, displacement rate versus temperature, displacement rate versus time, and densification behavior were studied. Two sharp changes were detected in the diagrams: the first one, ~16 min after the start of the heating process due to the melting of Al, and the second one, after ~35 min because of the sintering progression and the applied final pressure. The highest relative densities were measured for the samples doped with 20 and 25 wt% Ti3AlC2 additives. More Ti3AlC2 addition resulted in decreased relative density because of the agglomeration of MAX phase particles.
La mort dans la doctrine de saint Augustin
Authors: Kowalczyk Stanislas
Published: September 2021

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El Dios dialéctico
Authors: Flórez Flórez Ramiro
Published: September 2021

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Exploración del “ser" que concreta al ente material (I)
Authors: Díaz de Tuesta Víctor
Published: September 2021

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... Recuerde el alma dormida. El árbol en su tierra
Authors: González Niño Andrés
Published: September 2021

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Creación y caída en los libros XI-XIV de «La Ciudad de Dios»
Authors: Tejerina Cándido
Published: September 2021

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Teilhard de Chardin y su "frente humano"
Authors: Rubio Carracedo José
Published: September 2021

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¿Un signo de los tiempos? Conferencias con motivo de la inauguración del "Institutum Patristicum Augustinianum"
Authors: Morán Fernández José
Published: September 2021

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...Recuerde el alma dormida. Las invocaciones
Authors: González Niño Andrés
Published: September 2021

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Teología y secularización de las virtudes en el Concilio Vaticano II
Authors: Fernández Jesús
Published: September 2021

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¿Es válida la demostración racional de la existencia de Dios a través de las vías?
Authors: Casado Prieto Fidel
Published: September 2021

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La teología en busca de camino
Authors: Morán Fernández José
Published: September 2021

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Bibliografía castellana sobre Teilhard de Chardin (1950-1970)
Authors: Rubio Carracedo José
Published: September 2021

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Sentido gnoseológico de la memoria según San Agustín
Authors: Rodríguez Neira Teófilo
Published: September 2021

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Noticia apresurada. En la muerte de Johannes Hessen
Authors: Flórez Flórez Ramiro
Published: September 2021

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La penitencia y sus Formas
Authors: Herrero Bravo Zacarías
Published: September 2021

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La persecución religiosa y la orden de San Agustín en la independencia de Filipinas
Authors: Aparicio López Teófilo
Published: September 2021

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Enciclopedia delle Religioni
Authors: Cosgaya José
Published: September 2021

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El sacerdocio en la encrucijada
Authors: Oroz Reta José
Published: September 2021

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La persecución religiosa y la orden de San Agustín en la Independencia de Filipinas
Authors: Aparicio López Teófilo
Published: September 2021

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Uso e interpretación de Zacarías 9,9-10 en el Nuevo T estamento
Authors: Mateos Ciriaco
Published: September 2021

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La teoría del olvido en san Agustín y Freud
Authors: Rodríguez Neira Teófilo
Published: September 2021

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Hacia una teología de las Comunicaciones Sociales
Authors: Díaz Tortajada Antonio
Published: September 2021

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La Penitencia y sus Formas, examen de su evolución histórica
Authors: Herrero Bravo Zacarías
Published: September 2021

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II.-¿Quién es Dios?
Authors: Cilleruelo García Lope
Published: September 2021

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El “Methodus Praedicationis”, Opúsculo inédito del Bto. Alonso de Orozco
Authors: Fernández Fernández Quirino
Published: September 2021

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Un capítulo en la historia de la moral matrimonial
Authors: Morán Fernández Carlos
Published: September 2021

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La Penitencia y sus formas
Authors: Herrero Bravo Zacarías
Published: September 2021

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La Iglesia y los cristianos, sacramento del mundo
Authors: Campelo Moisés María
Published: September 2021

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La persecución religiosa y la orden de San Agustín en la Independencia de Filipinas (II)
Authors: Aparicio López Teófilo
Published: September 2021

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Perspectiva del cuerpo humano en san Agustín
Authors: Iriarte Raúl R.
Published: September 2021

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Los restos mortales del Precursor, general Antonio Nariño, y los agustinos
Authors: Campo del Pozo Fernando
Published: September 2021

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Las Normas Pastorales y el Nuevo Ritual del sacramento de la reconciliación
Authors: Herrero Bravo Zacarías
Published: September 2021

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Teknik Publikasi Media Dakwah Jagat 'Arsy TV
Authors: Putrawan Makalalag Panji , Khoerunnisa Eunis
Published: September 2021

Teknik Publikasi Media Dakwah Pada Jagat ‘Arsy TV ialah Salah satu teknik media dakwah yang cukup besar pengaruhnya dalam mengembangkan Dakwah Tarekat Qodariyah Naqsyabandiyah Pondok Pesantren Suryalaya Sirnarasa. Tujuan dari penelitian ini adalah untuk mengetahui Bagaimana Publikasi Media Dakwah Pada Jagat ‘Arsy TV, Untuk mengetahui Faktor Pendukung dan Penghambat pada Publikasi Media Dakwah Pada Jagat ‘Arsy TV, dan Hasil Dari Publikasi Media Dakwah Pada Jagat ‘Arsy TV. Adapun pendekatan yang digunakan oleh peneliti adalah pendekatan yang berjenis kualitatif, dengan menggunakan metode analisis isi. Hasil Dari penelitian ini berkaitan dengan 3 jenis teknik Publikasi Media Dakwah Pada Jagat ‘Arsy TV, yakni Teknik Audiovisual, Teknik Grafis, dan Teknik Prime Time. Adapun  Yang menjadi Faktor pendukung adalah faktor-faktor yang membantu luasnya jangkauan dari informsi yang diunggah, dan faktor pendukung adalah faktor yang menghambat penyebaran informasi. Hasil dari peneltian ini ditnjau dari Jumlah Jangkuan Informasi.
Pengaruh Metode Iqra Terhadap Kemampuan Membaca Al-Qur’an Anak Usia Prasekolah
Authors: Aulia Shafa Ghefira
Published: September 2021

Penelitian ini bertujuan untuk mengetahui pengaruh bimbingan baca tulis metode iqra terhadap kemampuan membaca Al-Qur’an anak usia prasekolah di TK Al-Qur’an Nurul Huda. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis data melalui software SPSS versi 22. Jumlah populasi anak sebanyak 52 orang dan peneliti mengambil total keseluruhan populasi sebagai sampel. Pengumpulan data menggunakan kuesioner dengan skala Likert. Dan hasil dari penelitian ini menunjukkan bahwa hipotesis nol (H0) ditolak dan hipotesis kerja (Ha) diterima dengan menggunakan uji parsial dan uji simultan. Besar pengaruh antara variabel X terhadap variabel Y ialah 24,9% dengan nilai persamaan regresi Y = -24,846 + 1,285 X yang mana menunjukan arah pengaruh yang positif
Empirical analysis of the environmental Kuznets Curve for atmospheric pollution and economic growth in Algeria
Authors: Touitou Mohammed
Published: September 2021

This study aimed at examining the Environmental Kuznets curve hypothesis for Atmospheric pollution and economic growth in Algeria, in the period 1980–2017. As indicators of pollution emissions were chosen CO2 emissions per capita (PECO2), SO2 emissions per capita (PESO2), and NOx emissions per capita (PENOx). To prove these relations, we are using time series data in Vector Autoregression model supported by cointegration tests. The results indicated that the assumption of Environmental Kuznets curve was confirmed for the case of Algeria, where the mapping showed us a curve in inverse U-shape Environmental Kuznets curve characterized by a rising phase that peaked when the level GDP was highest to move to a new downward phase where environmental quality is improving over time. In terms of the direction of causality, we identified a causal relationship to Granger from GDP to the different emissions, which justifies that the implementation of a range of measures protecting the environmental quality of Algeria should be the top priority in the context of sustainable development and enhancing the long-run growth. To reduce pollution emissions, Algeria is called upon to increase significantly the use of renewable energies and the establishment of a more efficient energy policy.
Challenges to implementation and strengthening of initial COVID-19 surveillance in Vanuatu: January–April 2020
Authors: Williams Wendy , van Gemert Caroline , Mariasua Joanne , Iavro Edna , Fred Debbie , Nausien Johnny , Manwo Obed , Atua Vincent , Pakoa George Junior , Tassiets Annie , Knox Tessa B , Buttsworth Michael , Matthew Cornish Geoff Clark , Tapo Posikai Samuel , Tarivonda Len , Guyant Philippe
Published: September 2021

The Pacific island nation of Vanuatu is vulnerable to emerging infectious diseases, including epidemics and pandemics; chronic food and water insecurity; and natural hazards, including cyclones, earthquakes, tsunamis, landslides and flooding. In March 2020, the World Health Organization characterized the outbreak of novel coronavirus disease 2019 (COVID-19) as a global pandemic. By the end of April 2020, Vanuatu had reported no confirmed cases of COVID-19. Data from several sources are collected in Vanuatu’s COVID-19 surveillance system to provide an overview of the situation, including data from case investigations and management, syndromic surveillance for influenza-like illness, hospital surveillance and laboratory surveillance. Review of data collected from January to the end of April 2020 suggests that there was no sustained increase in influenza-like illness in the community and no confirmed cases were identified. Lessons learnt from the early implementation of surveillance activities, the changing landscape of laboratory testing and pharmaceutical interventions, as well as the global experience, particularly in other Pacific island countries, will inform the refinement of COVID-19 surveillance activities in Vanuatu.
Influenza epidemiology and burden of disease in Mongolia, 2013–2014 to 2017–2018
Authors: Darmaa Oyungerel , Burmaa Alexanderyn , Gantsooj Baataryn , Darmaa Badarchiin , Nymadawa Pagbajabyn , Sullivan Sheena , Fielding James
Published: September 2021

Background: Mongolia is a vast, sparsely populated country in central Asia. Its harsh climate and nomadic lifestyle make the population vulnerable to acute respiratory infections, particularly influenza. Evidence on the morbidity, mortality and socioeconomic impact of influenza in Mongolia is scarce; however, routine surveillance for influenza-like illness (ILI), severe acute respiratory infection (SARI) and laboratory-detected influenza is conducted. This paper describes the epidemiology of influenza and the estimated burden of influenza-associated illness in Mongolia in the five influenza seasons between 2013–2014 and 2017–2018. Methods: Demographic and laboratory data from 152 sentinel surveillance sites on all patients who met the case definitions of ILI and SARI between October 2013 and May 2018 were extracted and analysed as described in A Manual for Estimating Disease Burden Associated with Seasonal Influenza. Results: The estimated annual influenza-associated ILI and SARI rates, presented as ranges, were 1279–2798 and 81–666 cases per 100 000 population, respectively. Children aged <5 years accounted for 67% of all ILI cases and 79% of all SARI cases. The annual specimen positivity for influenza was highest (11–30% for ILI and 8–31% for SARI) for children aged 5–<15 years and children <2 years old, respectively. The annual mortality rate due to pneumonia and SARI was highest among children aged <2 years (15.8–54.0 per 100 000 population). Although the incidence of influenza-associated ILI and SARI was lowest for people aged >65 years, the mortality rate due to pneumonia and SARI (1.2–5.1 per 100 000) was higher than that for those aged 15–64 years. Conclusion: The estimated influenza-associated ILI and SARI incidence rates are high in Mongolia, and children, especially those aged <5 years, have the highest influenza-associated burden in Mongolia. These findings provide evidence for decision-makers in Mongolia to consider targeted influenza vaccination, particularly for children.
Hareket İncelemesine Dayalı bir Form Araştırma Süreci_Kinematik_ Çevrimiçi Tasarım Çalıştayı Sonuçları
Authors: KIRKAN Sinem , ŞENTOP Ayça
Published: September 2021

Canlılar içinde bulundukları mekanı duyularının yanı sıra beden hareketleri ile deneyimlemektedir. Bu nedenle, ‘mimarlık’, ‘hareket’ ve ‘beden’ kavramlarının arasında güçlü bir ilişki bulunmaktadır. Beden ve hareket verilerinin mimari form yaratma sürecinde etkin bir biçimde kullanılması tasarımı ve tasarımcıyı besleyen bir süreçtir. Dolayısıyla bu verilerin tasarım sürecine aktarılması adına izlenebilecek yöntemlerin ve ifade tekniklerinin araştırılması önemlidir.

Bu bağlamda ....... Üniversitesi 4. sınıf iç mimarlık öğrencisi 19 kişi ile birlikte bir çevrimiçi çalıştay gerçekleştirilmiş ve sunduğu hareket çeşitliliği gözetilerek seçilen bir ‘dans’ performansı form üretim aracı olarak ele alınmıştır. Kompleks bir tasarım problemi olarak kurgulanabilecek form üretim süreci bu çalışmada bağlamlarından sıyrılarak salt dans geometrisine dayalı üretim teşvik edilmiştir. Böylece ‘hareketin geometrisi’ olarak tanımlanan ‘Kinematik’ çalıştay başlığının önerdiği gibi dans performansı anlam ve etkiyen güçlerden arındırılarak yalnızca bedensel hareketten oluşan formlar aranmıştır. İki fazlı kurgulanan çalışmanın birinci fazında katılımcılara yaklaşık bir dakikalık dans videosu izletilmiş ve izlenen performansın kısa-süreli hafızaya dayalı olarak üç boyutlu model ile temsil edilmesi istenmiştir. Çalışmanın ikinci fazında video tekrarlı olarak oynatılırken temsilin tekrarlanması beklenmiş ve sonuç ürünler Laban Hareket Analizi yöntemi ile analiz edilmiştir. Katılımcıların geribildirimleri metin, anket ve sözel açıklamalar ile toplanmış ve nitel veri analizi gerçekleştirilmiştir. İki fazın sonuç ürünleri arasında görsel canlandırmaya, malzeme seçimine ve yoruma bağlı farklılıklar tespit edilmiş ve etkileri tartışılmıştır. Makalede ayrıca çevrimiçi çalıştay yürütme sürecine dair yorumlar aktarılmıştır.
Applying Conversation Method and Self-Confidence and Its Effect to Learning Achievement
Authors: Sagita Imam Kholis
Published: September 2021

English in elementary schools in the implementation of learning is still not effective until now. Actually, there are many problems related to the implementation of the development of English learning. In fact, the development of learning English itself is very beneficial for elementary school students, so they can improve their abilities. The research method used in this classroom action research is an experimental method with a Factorial Group Design (FGD) design with 2 categories. The data analysis technique in this study used two way ANOVA, with the help of computers, namely: SPSS for Windows version 24 program. The results of the study can be concluded that there are differences in English learning outcomes between learning by conversation methods and conventional methods for grade 4 students. Madrasah Ibtidaiyah Nu Sumber Agung. Then, there is no difference in English learning outcomes between grade 4 students of Madrasah Ibtidaiyah Nu Sumber Agung with high self-confidence and low self-confidence. And the last, there is no interaction of methods with self-confidence on learning achievement in English.
A Review on Minimization of Ambulance Response Time Using Image Processing and Critical path Mapping Based on Traffic Con-trol
Authors:   Department of Computer Science Engineering, Integral University, Lucknow, India, Rafiq Shuja
Published: September 2021

India is a developing country; the population of India is growing exponentially. India ranks 2nd in the world in terms of population. As there will be a gradual increase in population there will be an increase in the number of vehicles, as a result of which traffic congestion is increasing and as a result, emergency vehicles such as ambulances, fire-fighters, etc. are having difficulty getting to their destination on time. Vehicle use is growing rapidly due to recent technological and economic developments, and at the same time, the lack of infrastructure against demand is leading to an increase in the number of accidents and fatalities. Minor problems in our health system have prompted us to come up with a petition to make this process work and save lives. Through book reviews and reflections, I have proposed a project in a smart traffic management system using image processing. The aim of this project is to improve simulation to determine traffic congestion, to detect a crash/accident, and to obtain an ambulance using image processing and machine learning techniques. The proposed independent work is simulated in the form of an experimental setup using Arduino and LED displays that mimic real-time traffic. These simulation results reflect the terms of the acquisition as it provides an emergency vehicle pass to catch up on peak hours.
A Review of Automatic Driving System by Recognizing Road Signs Using Digital Image Processing
Authors:   Department of Computer Science Engineering, Integral University, Lucknow, India, Alam Afroj
Published: September 2021

In this review, the paper furnishes object identification's relationship with video investigation and picture understanding, it has pulled in much exploration consideration as of late. Customary item identification strategies are based on high-quality highlights and shallow teachable models. This survey paper presents one such strategy which is named as Optical Flow method. This strategy is discovered to be stronger and more effective for moving item recognition and the equivalent has appeared in an investigation in this review paper. Applying optical stream to a picture gives stream vectors of the focus-es compared to the moving items. Next piece of denoting the necessary moving object of interest checks to the post preparation. Post handling is the real commitment of the review paper for moving item identification issues. Their presentation effectively deteriorates by developing complex troupes which join numerous low-level picture highlights with significant level settings from object indicators and scene classifiers. With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary designs. These models carry on contrastingly in network design, preparing systems, advancement work, and so on In this review paper, we give an audit on pro-found learning-based item location systems. Our survey starts with a short presentation on the historical backdrop of profound learning and its agent device, in particular Convolutional Neural Network (CNN).
A Review on Impact Analysis of Accident Using AI
Authors:   Department of Computer Science & Engineering, Integral University, Lucknow, India, Mishra Divya
Published: September 2021

In recent years, road collisions have become a global problem and have been classified as the 10th leading cause of death in the world. Due to the large number of road losses consistently, it has become a major problem in Bangladesh. It is totally unacceptable and sad to allow a citizen to kill in a road accident. The purpose is to show you how to extract logical data from a raw database and visualize it. The results show that hourly planning, day-to-day intelligence, lunar intelligence and year-round planning allow you to look at how road accidents change over time. Two types of road accidents have occurred in particular, and data analysis of road accidents have led to conclusions that will help reduce the number of accidents.
A Review of Object Visual Detection for Intelligent Vehicles
Authors:   Department of Computer Science & Engineering, School of Engineering, Babu Banarasi Das University, Uttar Pradesh, India, Singh Sirin Kumar
Published: September 2021

This paper contains the details of different object detection (OD) techniques, object identification's relationship with video investigation, and picture understanding, it has pulled in much exploration consideration as of late. Customary item identification strategies are based on high-quality highlights and shallow teachable models. This survey paper presents one such strategy which is named as Optical Flow method (OFM). This strategy is discovered to be stronger and more effective for moving item recognition and the equivalent has appeared by an investigation in this review paper. Applying optical stream to a picture gives stream vectors of the focuses compared to the moving items. Next piece of denoting the necessary moving object of interest checks to the post-preparing. Post handling is the real commitment of the review paper for moving item identification issues. Their presentation effectively deteriorates by developing complex troupes which join numerous low-level picture highlights with significant level set-ting from object indicators and scene classifiers. With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary designs. These models carry on contrastingly in network design, preparing system, and advancement work, and so on in this review paper, we give an audit on profound learning-based item location systems. Our survey starts with a short presentation on the historical backdrop of profound learning and its agent device, in particular, Convolutional Neural Network (CNN) and region-based convolutional neural networks (R-CNN).
The Impact of Blockchain on the Healthcare Environment
Authors:   Department of Computer Science, Central University of South Bihar, Gaya, India, Praveen Gajala
Published: September 2021

Bitcoin was the first electronic payment system to truly exploit the power of blockchain technology. There is currently the problem of health information inequality and health information leakage. Physicians should conduct essential routine work that wastes human and financial resources and delays treatment processes. Blockchain provides a trust-free and cost-reducing solution to manage and secure valuable health information. The aim of this study is to discuss research into blockchain healthcare applications. It addresses the management of medical data, as well as the sharing of medical information, the sharing of images, and the management of logs. We also discuss papers that overlap with other fields, such as the Internet of Things, information management, drug monitoring along their supply chain, and aspects of security and privacy. Finally, we analyze and compare the research papers in the medical area and also summarize the strategies used in healthcare with their pros and cons.
An Agri vigilance System based on Computer Vision and Deep Learning
Authors:   https://jieee.a2zjournals.com/index.php/ieee/article/view/44, Owalekar Karan
Published: September 2021

In an agricultural-based country like India, farming and farming activities play a vital role in the growth of the economy as it is the main source of GNI (Gross National Income). This dependence of GNI on agriculture makes it important to address the issues faced by the farmers. The main area of concern for farmers revolves around crops and livestock. Precise farming techniques like cattle counting and crop disease detection are the need of the hour. The introduction of computer vision and deep learning has enabled us to make improvements in farming techniques. To accomplish this, a computer vision-based system is proposed which will be implemented using ResNet and YOLOv3-tiny. The proposed system will take images and videos as input and run them on the inference. The output will be updated in the database and the farmer will be notified in case of any inconsistency. The detailed report can be accessed by government agencies. The system will increase efficiency in farming processes like crop monitoring, livestock tracking, crop disease detection by providing fast and efficient solutions for the problems faced by the farmers.
Music Recommendation Based on Face Emotion Recognition
Authors:   Department of Computer Engineering, NHITM, Thane, India, Athavle Madhuri
Published: September 2021

We propose a new approach for playing music automatically using facial emotion. Most of the existing approaches involve playing music manually, using wearable computing devices, or classifying based on audio features. Instead, we propose to change the manual sorting and playing. We have used a Convolutional Neural Network for emotion detection. For music recommendations, Pygame & Tkinter are used. Our proposed system tends to reduce the computational time involved in obtaining the results and the overall cost of the designed system, thereby increasing the system’s overall accuracy. Testing of the system is done on the FER2013 dataset. Facial expressions are captured using an inbuilt camera. Feature extraction is performed on input face images to detect emotions such as happy, angry, sad, surprise, and neutral. Automatically music playlist is generated by identifying the current emotion of the user. It yields better performance in terms of computational time, as compared to the algorithm in the existing literature.