bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnesium and zinc diffused growth and characterization of strontium L(+) tartrate pentahydrate crystals
Authors: Reema KB  , Jagannatha N  , Nagaraja KP  , Delma D'Souza
Published: June 2022

Single crystals of intrinsic strontium L(+) tartrate (IST), Mg2+ doped strontium L(+) tartrate (MDST) and Zn2+ doped strontium L(+) tartrate (ZDST) are grown using gel diffusion reaction method. Optimum condition for crystal growth is established by varying gel density, gel pH, concentration and matrix of supernatant solutions. EDAX analysis is made to measure stoichiometric composition and cationic distribution of the grown crystals. Fourier transform infrared (FTIR) and Laser Raman spectral studies unveil various functional groups in the grown crystals. Thermo gravimetric analysis (TGA) reveal decomposition behavior of the crystals for the temperature range of 30-1000oC. IST, MDST and ZDST crystals inborn with chemical formulae SrC4H4O6.5H2O, Sr0.9987Mg0.0013C4H4O6.5H2O and Sr0.9929Zn0.0071C4H4O6.5H2O respectively.
Training needs on climate resilient farm technologies for improving the livelihood and nutritional security of farming community in Namakkal district of Tamil Nadu
Authors: S. Kathiresan  , T. Raj Pravin
Published: June 2022

Farming remains as a risky profession in drought prone areas as a result of many climate changeissues affecting the lives and livelihoods of many farm families. The periodical and sudden occurrenceof natural vagaries in the past few years has become a new normal, resulting in the farmingcommunities suffering huge productivity losses in farming and allied sectors. Over a period of timewith their resultant farming experience over years, our farming community has diversified their farmrelated production activities. No longer they are entirely dependent on farming for their livelihoodneeds but derive more economic and nutritional gains from allied sectors. On the other hand, they alsoadopt modern and indigenous climate resilient farm technologies to mitigate climate change issues asa part of their farming activities. However, over a period of time they need to be trained on manyclimate resilient farm technologies to improve their farm yields, reduce losses and achieve sustainablefarm production. Keeping this in view, a study was undertaken in Erumapatty block to study thetraining needs of farmers on Climate resilient farm technologies for improving the livelihood andnutritional security of farming community in Namakkal district of Tamil Nadu. About 120 farmrespondents were selected for this study where National Initiative on Climate Resilient Agriculture(NICRA) scheme was launched in different modules. Training needs related to Capacity building andblending of local resources, Creation of water harvesting structures and New irrigation managementpractices for taking up mitigation measures was assessed as a part of this study. This identified trainingneeds coupled with developing a new extension model for addressing climate change issues inNamakkal district as a part of this study is sure to address many climate change related issues affectingour farmers. It will also assist us in improving the livelihood and nutritional security of our farmingcommunity in the near future.
Impact of price on consumption of organic food products: A pragmatic study
Authors: Roopashree B R  , Dr. Rizwana.M
Published: June 2022

Organic food product market is been growing consistently over a decade worldwide. Healthinsecurity among consumers is the major factor that shifted consumers interest towards organic productfrom conventional products. Irrespective of the growth, organic food market has grown as nichemarket, in order to enter the main stream the biggest barrier is the price of the product. At this backdrop,the present study aims to understand whether consumers are really keen to pay higher price for organicproducts bearing in mind the various benefits of it. The essential data for the present study has beengathered through primary source. A sample of 105 respondents were selected using conveniencesampling technique. A structured questionnaire had been used to determine respondents over allopinion towards the pricing of organic food items. The study results revealed that customers inclinationto pay higher premium price for organic product is due to less chemical & fertilizers usage, healthbenefit enjoyed, less environmental impact created and the quality maintained in the products.
Development and evaluation of mHealth on polycystic ovarian syndrome for young women
Authors: Sabina Dev  , Kalpana C.A
Published: June 2022

The prospective benefit of mHealth can be expected to revolutionize health service profileworldwide. mHealth consist of short message service (SMS), web based interventions, smart phoneapplications and telehealth. Polycystic Ovarian Syndrome (PCOS) is now familiar among women in theirreproductive age as a disorder affecting them irrespective of their age. Young women in India have highprevalence of PCOS ranging from 9.13 to 36 per cent. PCOS inclines young women at a greater risk ofdeveloping insulin resistance, metabolic syndrome as well as cardiovascular disease. Hundred youngwomen aged 19-25 years were selected from ten hostels located in Coimbatore city, Tamil Nadu.Formulation of the interview schedule was done as a tool to assess the information of the locale, theirhealth status, lifestyle practice and physical activity level. The tools used for dietary assessment included24 hour dietary recall carried out for three consecutive days and a questionnaire to know their frequencyof consuming different foods. Anthropometric measurement was carried out to compute BMI and waisthip ratio. A pre-intervention questionnaire to assess the knowledge of young women on PCOS was alsoadministered. mHealth message was developed on PCOS containing 110-150 characters includingpunctuation, bold and italic letters and mHealth messages were sent for a period of 12 days via WhatsApp.After 12 days, with the help of post-intervention questionnaire a change in knowledge on PCOS wasappraised. mHealth can be used as an effective communication tool to provide information and bringchanges in knowledge, attitude and behavior for other areas which is likely to change the current situationof delivering health service around the world.
Phytochemical screening of ethanolic leaf extract of eichhornia crassipes for antimalarial activity
Authors: Samidoss Christina Mary  , S Mary Joy  , K Murugan
Published: June 2022

Malaria is a parasitic infection caused by a parasite that spends part of its life in people and the rest in mosquitos. Malaria continues to be one of the world's worst killers, threatening the lives of more than a third of the world's population. Treatments with organophosphates and insect growth regulators are the main control tools against Anopheles larvae, but they have negative effects on human health and the environment. Green control tools are a priority in this circumstance and are required for mosquito control. In this present study, Positive and negative controls were orally provided in mice for 24 hours before several tests were conducted out in the current investigation to evaluate the Treatment of Ethanolic extracts of Eichhornia crassipes. Mice were used in the Acute Toxicity Tests, the Early Malaria Infection Test, and the Established Infection Method Test. Asthenia, piloerection, ataxia, anorexia, urination, diarrhoea, lethargy, and coma were among the behavioural signs of toxicity observed in the mice. As a result, Eichhornia crassipes extract appears to have significant malarial activity. As a result, Eichhornia crassipes could be used as a natural antiplasmodial agent for the fight against Malaria.
A Systematic Study and Empirical Analysis of Lip Reading Models using Traditional and Deep Learning Algorithms
Authors: R Sangeetha  , D. Malathi
Published: June 2022

Despite the fact that there are many applications for analyzing and recreating the audio through existinglip movement recognition, the researchers have shown the interest in developing the automatic lip-readingsystems to achieve the increased performance. Modelling of the framework has been playing a major role inadvance yield of sequential framework. In recent years there have been lot of interest in Deep Neural Networks(DNN) and break through results in various domains including Image Classification, Speech Recognition andNatural Language Processing. To represents complex functions DNNs are used and also they play a vital rolein Automatic Lip Reading (ALR) systems. This paper mainly focuses on the traditional pixel, shape and mixedfeature extractions and their improved technologies for lip reading recognitions. It highlights the mostimportant techniques and progression from end-to-end deep learning architectures that were evolved duringthe past decade. The investigation points out the voice-visual databases that are used for analyzing and trainthe system with the most common words and the count of speakers and the size, length of the language andtime duration. On the flip side, ALR systems developed were compared with their old-style systems. Thestatistical analysis is performed to recognize the characters or numerals and words or sentences in English andcompared their performances.
DIFFICULTIES IN ORGANIZING THE ACTIVITIES OF CHILDREN’S INSTITUTIONS EVACUATED TO THE TERRITORY OF CHUVASHIA DURING THE GREAT PATRIOTIC WAR
Authors: Tolstova Natalia Yu.
Published: June 2022

Under the difficult conditions of the initial stage of the Great Patriotic War, when thousands of issues related to the country’s defense had to be resolved as soon as possible, the Soviet leadership was able to find opportunities to organize the evacuation of children from front-line areas to the rear of the country. The Chuvash Autonomous Soviet Socialist Republic became one of the regions that accepted a large number of evacuated children. Although there are special studies on assistance to children evacuated to the territory of the republic, this problem is still poorly studied. On the basis of the archival documents from the funds of the State Archive of Modern History of the Chuvash Republic and the State Historical Archive of the Chuvash Republic, the article systematizes information on children’s institutions that were fully evacuated to the territory of the Chuvash Autonomous Soviet Socialist Republic during the Great Patriotic War. The paper describes the main difficulties encountered by evacuated children’s institutions during their stay in the republic. Using the concrete examples from history, the author shows the degree of severity of problems such as providing kindergartens, orphanages and boarding schools with suitable premises, furniture, food, clothes and shoes, household equipment, toys, educational materials, office supplies. The author of the article proves that in different parts of Chuvashia there were different living conditions for children, a lot depended on the leadership of children’s institutions. It is concluded that numerous shortcomings and difficulties in organizing the activities of children’s institutions were not a specific phenomenon which affected only the Chuvash Autonomous Soviet Socialist Republic. At the same time, the leadership of the republic, which had limited resources, did their best to keep the evacuated children’s institutions fully operational, their activities being under constant control by the authorities.
Modeling Covid-19 Deaths in Nigeria Using Exponential-Gamma Distribution
Authors:   Department of Statistics, Ekiti State University, Ado-Ekiti Nigeria
Published: June 2022

This work examines the performance of Exponential-Gamma distribution and the existing Exponetial and Gamma in relative to the distribution that will best fit the data on Covid-19 death in Nigeria from March 2020 to April 2021. The parameters of the distribution were estimated using the method of maximum likelihood estimates. The newly developed Exponential-Gamma distribution was compared with the exiting Exponential and Gamma distributions using the log-likelihood function, Akaike information criterion (AIC), and Bayesian information criterion (BIC) as the criteria for selecting the best fit model. The results show that the newly developed Exponential-Gamma distribution performed better than the existing Exponential and Gamma distributions in contrast in terms of model fit, this showed that the newly developed Exponential-Gamma distribution is more flexible and precise in analyzing the Covid-19 data other than the existing Exponential and Gamma distributions.
The Application of Multicultural Education Values in Islamic Religious Learning at Karuna High School DIPA Palu, Central Sulawesi, Indonesia
Authors:   Islamic Religious Education, Faculty of Tarbiyah and Teacher Training at UIN Datokarama Palu
Published: June 2022

This paper aims to analyze the application of multicultural educational values in learning Islamic religious education at Karuna Dipa High School Palu. The researchers employed descriptive qualitative design where data collected through several techniques; observation, in-depth interviews, documentation, and triangulation. The data were then analyzed through data reduction, verification, and data display. The results showed that the application of multicultural education values in learning Islamic religious education at Karuna Dipa High School in Palu City was carried out by 1). The value of tolerance as the basic element needed in social life to foster mutual understanding and respect for differences, not to deviate from the rules and norms that apply in schools, mutual respect, and respect for religious, ethnic, and linguistic differences in every action taken by others.2). The value of unity as the implementation of multicultural values by instilling multicultural understanding, thoughts, and attitudes, prioritizing collective integrity and sovereignty as citizens of the society and citizens of the nation with the spirit of intercultural plurality, prioritizing the integrity of the nation, creating a harmonious life among fellow citizens of a nation that has cultural diversity in an effort to realize national unity. 3). The value of justice is to provide equal opportunities to all communities to obtain the education, and to provide proportional treatment and attention to each community in the learning process without distinguishing between backgrounds so that each community has equal opportunities to achieve scientific, personal, and skill competencies.
Pengangguran Terdidik Pada Masa Pandemi Covid-19: Analisis Pada Data Sakernas 2020
Authors: Setyanti Axellina Muara , Finuliyah Firdaus
Published: June 2022

Pandemi Covid-19 membawa berbagai dampak pada perekonomian nasional, termasuk peningkatan pada pengangguran terdidik. Tingkat pendidikan yang tinggi tidak serta merta menghindarkan angkatan kerja terdidik dari kesulitan memperoleh pekerjaan maupun pemutusan hubungan kerja selama masa pandemi, ditunjukkan oleh peningkatan pengangguran terdidik dari 6,69% pada tahun 2020 menjadi 8,55% pada 2021. Penelitian ini bertujuan untuk menganalisis pengangguran terdidik di Indonesia berdasarkan provinsi, tingkat pendidikan, alasan berhenti bekerja, lapangan usaha, dan status pekerjaan secara deskriptif, serta menganalisis probabilitas terjadinya pengangguran terdidik di Indonesia melalui metode regresi logistik menggunakan data Survei Angkatan Kerja Nasional 2020. Penelitian ini menemukan secara nasional, pengangguran terdidik lulusan universitas (S1-S3) ditemukan berjumlah lebih tinggi (65,54%) dibandingkan lulusan diploma (34,46%). Provinsi dengan tingkat pengangguran terdidik yang paling tinggi adalah Jawa Barat, sebesar 32,0% dari total angkatan kerja terdidik di Jawa Barat. Alasan berhenti bekerja didominasi oleh alasan dampak pandemi (23,28%) dan sektor perdagangan ditemukan memiliki jumlah penganggur tertinggi. Berdasarkan analisis logistik ditemukan angkatan kerja yang memiliki sertifikat pelatihan, berjenis kelamin laki-laki, tinggal di pedesaan, dan bermigrasi memiliki probabilitas lebih rendah untuk menganggur selama masa pandemi.
Identitas Digital Ketenagakerjaan Pada Sistem Informasi Pasar Kerja di Indonesia: Sebuah Konsep
Authors: Teguh Gunawan Beni , Rajagukguk Zantermans , Nasution Faizal Amir , Muhyiddin  , Al-Ayubbi Syaefuddin Ahrom
Published: June 2022

Sistem informasi pasar kerja (SIPK) di Indonesia saat ini masih bersifat parsial baik secara kelembagaan maupun fungsinya. Kebijakan yang disusun oleh Kementerian Ketenagakerjaan tidak dapat sepenuhnya diterapkan oleh pemerintah daerah karena berbagai alasan. Hal tersebut berdampak pada lemahnya sistem pendataan ketenagakerjaan di Indonesia. Pada prinsipnya, data ketenagakerjaan memiliki peranan penting dalam perencanaan dan deteksi dini berbagai permasalahan ketenagakerjaan. 

Kajian ini bertujuan untuk mengetahui konsep identitas digital ketenagakerjaan (IDK) pada sistem informasi pasar kerja di Indonesia dan sekaligus mengetahui manfaat dari identitas digital ketenagakerjaan tersebut. Metode yang digunakan dalam kajian ini menggunakan analisis deskriptif. Analisis lebih ditekankan pada pemetaan pasar tenaga kerja, integrasi data ketenagakerjaan, dan manfaat dari identitas digital ketenagakerjaan.

Kajian ini menghasilkan konsep IDK yang komprehensif dari hulu ke hilir. Di Hulu, angkatan kerja adalah output dari pendidikan formal sedangkan hilir adalah ketenagakerjaan pasca penempatan. Rangkaian konsep tersebut terintegrasi mengikuti siklus ketenagakerjaan. Angkatan kerja baru output dari dunia pendidikan didata melalui Dapodik dan NIK akan dipantau pergerakan per individu dalam lingkup bisnis proses ketenagakerjaan yang meliputi registrasi dalam pasar kerja, pelatihan dan/atau pemagangan, penempatan (termasuk di dalamnya akses kewirausahaan), selama penempatan, dan pasca penempatan. Siklus itu terus berputar dengan tidak mengesampingkan manfaat bagi masing-masing individu angkatan kerja
Efektivitas Balai Latihan Kerja Komunitas dalam Meningkatkan Kualitas Tenaga Kerja
Authors: Suryono Ivan Lilin , Yossina Warsida Rotua , Maryani  , Rita  , Yani Roos Arafat Ahmad
Published: June 2022

Kementerian Ketenagakerjaan (Kemnaker) meluncurkan pembangunan Balai Latihan Kerja Komunitas (BLKK) Tahap 1 tahun 2021 pada bulan Agustus. BLKK merupakan salah satu langkah konkrit Kemnaker untuk meningkatkan kompetensi sumber daya manusia (SDM) Indonesia. Pendirian BLKK ini sebagai upaya penyebaran lembaga pelatihan kerja agar dapat diakses oleh masyarakat yang memiliki tempat tinggal yang cukup jauh dari lokasi lembaga pelatihan kerja yang ada. Penelitian ini bertujuan untuk mengetahui tingkat efektivitas peran Balai Latihan Kerja (BLK) Komunitas dalam meningkatkan kualitas tenaga kerja, serta kendala yang dihadapi BLK Komunitas dalam meningkatkan kualitas tenaga kerja. Metode penelitian yang digunakan adalah metode kuantitatif deskriptif. Data dikumpulkan melalui kuisioner dan dokumentasi. Hasil penelitian menunjukkan bahwa Balai Latihan Kerja (BLK) Komunitas berperan secara efektif dalam meningkatkan kualitas tenaga kerja. Hal ini disimpulkan berdasarkan 4 (empat) aspek penelitian diantaranya aspek manajemen BLKK, aspek tata kelola, aspek evaluasi dan aspek modal sosial. Dari aspek manajemen dapat disimpulkan bahwa BLKK telah memiliki struktur organisasi yang telah berjalan dengan tetap melibatkan pemerintah setempat untuk mengatasi masalah perizinan. Dari aspek tata kelola, peningkatan jumlah fasilitas pada setiap BLKK dapat dilakukan dengan pengajuan bantuan penggadaan barang melalui Dinas Ketenagakerjaan Kota/Kabupaten. Dari aspek evaluasi, peningkatan jenis pelatihan untuk meningkatkan jumlah peserta pelatihan. Dari aspek modal sosial, jumlah lulusan yang banyak tidak seimbang dengan ketersediaan lapangan kerja sehingga perlu usaha mandiri dari lulusan BLKK.
Comportamento físico-químico de inseticida cyantraniliprole em solos com diferentes atributos e remoção por biochar
Authors:   , Mora Guezguan Stefania
Published: June 2022

Aplicações de inseticidas sem o conhecimento das interações de suas moléculas com a solução, substâncias húmicas e coloides do solo podem resultar em graves problemas ambientais, como a contaminação do solo e das águas. Isto poderá ter como consequência impactos negativos na saúde humana e animal, além da redução da biodiversidade. Diante disso, o objetivo desse trabalho foi avaliar o comportamento físico-químico do cyantraniliprole, do grupo das diamidas antranílicas, em solos com diferentes atributos, assim como em biochar. O presente trabalho foi organizado por capítulos, sendo realizada uma revisão do estado da arte da tese sobre o tema no primeiro capítulo. Nesse capítulo são descritos os processos de síntese de inseticidas desde a Segunda Guerra Mundial até o desenvolvimento das diamidas antranílicas. Também são descritos alguns métodos de análise empregados e estratégias ambientais como o uso de biochar para remoção de inseticidas. No segundo capítulo é descrito o desenvolvimento do método analítico para determinação do produto comercial de cyantraniliprole. Foram especificadas as condições cromatográficas utilizadas para análise por Cromatografia Líquida de Alta Eficiência com detector UV-vis, no comprimento de onda de 270 nm. O método apresentou boa sensibilidade e repetibilidade em uma faixa de trabalho de 0,39 a 10 mg L -1 , com LoQ igual a 0,39 mg L -1 e uma resolução analítica igual a 0,141 mg L -1 . No terceiro capítulo foi avaliado o comportamento dinâmico (sorção e dessorção) do inseticida cyantraniliprole em solos com diferentes atributos. A porcentagem de sorção foi inferir a 20% nos três solos estudos caracterizando alto potencial de lixiviação do inseticida com probabilidade de contaminação de água subterrâneas. Finalmente, no quarto capítulo foi avaliada a capacidade de adsorção de hidrochar (biochar sintetizado por via hidrotermal) ativado em meio ácido para remoção do cyantraniliprole em solução aquosa, obtendo-se uma remoção acima de 70% do analito no pH ótimo, igual a 8,0. Foi avaliado também o efeito de etapas de lavagem do material após síntese, que afetam fortemente os resultados de adsorção. Palavras-chave: Cyantraniliprole. HPLC. Impacto ambiental. Hidrochar. Adsorção.
The Effect of a Training Course with Underwater Sports Equipment on Re-Learning and Gait Quality of Patients with Mild Parkinson’s Disease
Authors: Khanjari Yaser
Published: June 2022

Background: Parkinson’s is one of the most common diseases of the central nervous system, which is one of the most common causes of inability to balance and walk in the elderly. With the spread of this disease in the world, many young people have also been affected by it, which has had a great impact on the quality of life of these people. The aim of this study was to investigate the effect of a water exercise program on balance and gait quality in patients with mild Parkinson’s disease. Method: The present study was quasi-experimental and pre-test post-test with a control group. The statistical population of this study consisted of all mild Parkinson’s patients referred to the specialized water sports center. Twenty men with mild Parkinson’s disease were purposefully and voluntarily selected and then randomly divided into experimental (n = 10) and control (n = 10) groups. Subjects in the water exercise therapy group, in addition to drug therapy for eight weeks, performed three 70-minute sessions of exercise in the water every week, while the patients in the control group were only followed up during this period and had no drug therapy. They did not experience effective physical activity. At the beginning and end of the course, patients’ balance and gait quality were assessed by the Berg balance scale. Data were analyzed using t-test. Results: There was a significant improvement in the balance scores of the experimental group compared to the control group (p≤0.05), while no significant change was observed in the control group (p≥0.05). Discussion: The results of this study show that exercise with underwater devices can be a useful and effective method to prevent falls, improve balance, re-learn to walk properly and ultimately improve the quality of life of mild Parkinson’s patients.
Исследование процесса и аппарата окончательной дистилляции мисцеллы растительного масла на математических и компьютерных моделях
Authors: Хабибов Ф.
Published: June 2022

С развитием компьютерной техники, технологии моделирования и программного обеспечения появляется возможность их широкого применения при аналитических исследованиях химико-технологических процессов.  Исследование технологических процессов на компьютерной модели основано на формальной логике, способствующей определению основных влияющих факторов изучаемого объекта. Окончательная дистилляция хлопкового масла относится к процессам перегонки с помощью острого пара, при котором перенос массы происходит между жидкой и паровой фазами. Для составления компьютерной модели технологического процесса разработаны математические описания каждого процесса и подпроцесса. Обобщением получена полная математическая модель процесса окончательной дистилляции мисцеллы хлопкового масла. Разработан алгоритм исследования компьютерной модели процесса, протекающего на новой конструкции трехступенчатого дистиллятора. Компьютерная модель разработана для трехступенчатого аппарата, в котором выходные значения первой ступени будут входными для второй ступени и т.д. По полученным графикам в результате исследования компьютерной модели видно, что в новой конструкции аппарата процесс массопереноса между фазами протекает интенсивнее, а также дает возможность исследования процесса для различных технологических режимов ее введения.
Management Students’ Perception of Industrial Internship Programme at Srinivas University, Mangaluru, Karnataka
Authors: Prima Frederick Dsouza , V. T. Shailashri
Published: June 2022

Purpose: The central idea of the study is to identify and examine the affecting factors towards management students’ perception of Industrial Internship programme at Srinivas University, Mangaluru, India for the academic year 2021-22.
Design: Secondary data is collected by referring journal papers and books. The study includes ABCD factor analysis framework. Primary data was collected from selected 219 management students’ groups. The data was run through Jamovi software for descriptive analysis and SMART PLS 3.0 for causal analysis. SEM model was developed and IPMA analysis were analyzed.
Findings: Industrial Internship programme is an essential method to enhance the students learning experience. Student industrial internship unit and host company has a significant impact of student perception towards industrial internship programme. The study proposes a model for understanding the student perception about the internship programme they have undergone and managerial implications are suggested.
Originality: The study highlights the importance of Industry Internship programme for management students’ along with academic curriculum to be offered by higher education institutes and empirically proves the model.
Paper Type: Case Study with Empirical Analysis
Obras de Juan Gil de Zamora (OFM) en el manuscrito Salamanca, Biblioteca General Histórica de la Universidad, 2691
Authors: Martín Iglesias José Carlos
Published: June 2022

This article describes the contents of the manuscript Salamanca, Biblioteca General Histórica de la Universidad, 2691, which preserves a collection of mostly unpublished texts taken from two encyclopaedic compilations by Juan Gil of Zamora (OFM) († c. 1318): the Historia naturalis, canonica et ciuilis and the Liber illustrium personarum. In addition, it notes the sources used by the Franciscan writer, some already known, such as the Chronicon mundi by Lucas de Tuy, the Historia de rebus Hispanie by Rodrigo Jiménez de Rada, the Legenda aurea by Jacobus of Voragine or the stories gathered in the so-called Hispanic Passionary, but others noted for the first time, such as the Rationale diuinorum officiorum by Guillaume Durand the Speculator and the Translatio s. Nicolai Barium an. 1087 by John of Bari. This article also studies the different versions of the same works in the remaining writings of Juan Gil of Zamora indicating whether they have been preserved or lost. Finally, in an Appendix, it offers the editio princeps of a hymn and a prayer composed by the Zamoran friar in honour of the guardian angels.
El estudio y la formación entre los Franciscanos de Murcia (siglos XVI-XIX)
Authors: Oliva Pedro
Published: June 2022

This article provides an overview of the organization of studies among the Observant and Discalced Franciscans of the former Kingdom of Murcia (Spain), both those belonging to the Observant Province of Cartagena, and those who were part of the Discalced Custody of San Pascual from the sixteenth to the eighteenth centuries. After overcoming the early suspicions of the Observance regarding study, the Observant Province of Cartagena afforded great importance to study; Philosophy and Theology were taught in more than thirty friaries in the Province. Among those that stood out are the Immaculate Conception College, located in the city of Murcia, where the most suitable religious graduated to obtain the degree of lectors or professors of the houses of studies, and the Missionary College located at Cehegín, which was designated for training preachers and missionaries. The friars of the Province of Cartagena opened schools for the education of lay people in several of their convents. Finally, this article presents the organization of studies in the Discalced Custody of Saint Paschal of Murcia, where Saint Joachim’s College at Cieza stood out by being dedicated to train missionaries.
El Colegio San Buenaventura de la Orden de los Hermanos Menores Capuchinos de Murcia: fundación y primeras décadas
Authors: Aja Juan Luis
Published: June 2022

The College of San Buenaventura in Murcia is intimately linked to the history of the aforesaid city and the Capuchin Order. The Capuchin friars, when they arrived from Totana to the capital, engaged the main political and religious figures of the 1940s and 1950s in the foundation of an institution that would guide the youth of Murcia with Franciscan rigor. Through the study of archival sources, some manuals and the principal Capuchin publications and bulletins from the middle of the twentieth century, it is possible to ascertain the vicissitudes suffered by the religious in the erection and consolidation of an educational center, which in a very few years managed to increase exponentially the number of students who entered and to maintain itself as a school of reference in the educational panorama of Murcia.
El convento de Santa Ana de Jumilla ante la exclaustración de 1836
Authors: Gómez Cediel Javier
Published: June 2022

The present article deals with the fate of the Franciscan Friary of Santa Ana del Monte of Jumilla (Murcia, Spain), worship in its church, and the state of the buildings from the time of exclaustration and the subsequent confiscation dictated by the Elizabethan government in March 1836 until the moment when a certain «regular» life was resumed in this convent in 1852.
Procesamiento de la señal en entornos con partituras digitales
Authors:   , Esténoz Abendaño Ainhoa
Published: June 2022

La irrupción de la tecnología en la sociedad está definiendo el futuro de todos los sectores empresariales, entre ellos el musical, remodelando su modelo de negocio como resultado de la nueva era digital. New Music Now S.L., empresa creadora de Blackbinder, contribuye a la digitalización de la música y facilita el uso de partituras digitales en tareas relacionadas con la lectura y la interpretación musical. Blackbinder propone un nuevo formato de partitura digital en el que no hay páginas, basado en un desplazamiento continuo de la partitura en la pantalla de un dispositivo, siendo la partitura tan extensa como sea necesario. Se elimina así la necesidad de pasar páginas y mejora la experiencia musical tanto para artistas como para espectadores. La empresa recogió la demanda del mercado de investigar en la capacidad del sistema de ‘escuchar’ al intérprete y desplazar automáticamente la partitura adaptándose, a tiempo real, a la velocidad de interpretación (tempo). Esta característica es entendida por los músicos como una verdadera revolución en el mundo musical, puesto que redunda en una interacción más autónoma con la partitura y una mejor interpretación. Se enmarca así el objeto a estudio de esta tesis de un sistema automático, denominado Automatic Pageless Scrolling (APS), capaz de seguir a tiempo real la interpretación musical de una obra y ajustar la velocidad de desplazamiento de la partitura. Se proponen dos sistemas APS en el ámbito del procesamiento de la señal y la recuperación de información musical (Music Information Retrieval, MIR), en términos de estimación de tempo y alineación audio-partitura. Finalmente, se consigue dotar al sistema Blackbinder de capacidades avanzadas de seguimiento de la interpretación musical, otorgando especial importancia a la aplicación real en producto final y las experiencias de usuarios llevadas a cabo, siendo cruciales para la toma de decisiones y priorización de objetivos.
A Turkish classic in Russian Literature: “Fakirism” and “Dervish” in Clay Letters, Floating Apples by Suhbat Aflatuni
Authors: YETKİN Gülhanım Bihter
Published: June 2022

Dervishes were important figures who embraced asceticism, modesty, poverty, and patience as a way of living and played a key role in spreading Islam among the Turks. Culturally influential dervishes have been a common topic of research in many disciplines. In Sufi literature, dervishes are portrayed as nomads who advise people to be honest, have good morals, devote their lives on the path of truth, and are committed only to God. After the birth of orientalism in the West, which mainly focuses on the ever-fascinating East, dervishes appeared in different cultures and literature. For instance, in Russian culture and literature, dervishes are defined similarly but portrayed differently, depending on periods, conditions, and literary movements. However, the most potent example of a dervish notion, characterized by wisdom and mysticism, is Suhbat Aflatuni's “Clay Letters, Floating Apples." The author emphasizes the mystery of the East and the importance of being a perfect human being and conveys a profound life philosophy in his works. In this long story, the mystical dervish of the East reveals himself as a teacher. The dervish teacher comes to a village cursed by drought, poverty, and ignorance due to a cruel murder of a dervish a long time ago. He almost suffers the fate of the previous dervish, but divine powers help him complete his mission, and then he disappears. Aflatuni reflects all the aspects of the dervish image in his work and provides a unique example of intercultural interactions. This paper discusses the traces and intercultural similarities of mystical dervish images in Russian literature.
The Mediatıng Role Of Employee Voice In The Effect Of Thriving At Work On Work Alienation
Authors: BAŞ Murat
Published: June 2022

The concept of thriving at work is an important concept that scientists and businesses have been interested in for a long time, and many studies and experiments have been made on how employees will be successful at work. It is thought that thriving at work will be more effective and important not only unilaterally, but also the individual's self-development, with the effect of his interaction in the workplace. In this study, the mediating role of employee voice in the thriving at work-on-work alienation was examined, with reference to social exchange theory. In this context, data were collected from 263 employees of a private factory operating in the province of Erzincan by survey method. The obtained data were analyzed with statistical programs (SPSS 22, AMOS 23 and PROCESS macro). As a result of the analyzes, it was seen that thriving at work had a negative effect on work alienation and a positive effect on employee voice, at the same time, there was a negative relationship between employee voice and work alienation. In addition, it has been determined that the voice of the employee has a mediating role in the effect of thriving at work-on-work alienation. In the literature, there is no study that examines these three variables together and examines the mediating role of employee voice in the relationship between thriving at work and work alienation. In this respect, it is anticipated that the research will contribute to the literature and will be an important resource in future studies.
Influence of Wind Characteristics and Other Parameters on Module Mounting Structures
Authors: Anantharam T  , Dr. R. Manju
Published: June 2022

As one of the most common and imperative contributing factors to clean energy aspect, solar energy takes a significant role around the whole world. Among neighbouring countries regarding the energy sources India has a relatively more potential for solar energy to decrease its energy dependence to the other countries and to increase awareness for sustainable, easily reachable, economical and continuous energy use. In the photovoltaic (PV) solar power plant projects, PV solar panel (SP) support structure is one of the main elements and limited numerical studies exist on PVSP ground mounting steel frames to be a research gap that has not be addressed adequately in the literature. In this paper, aiming to provide a contribution to this gap, a PVSP steel support structure and its key design parameters are described to obtain actual demand of environmental effect like loads wind, snow, and seismic loads.
Heart Disease Detection using Machine Learning
Authors: Mr. Kapil Hande  , Mr. Saurabh Mule
Published: June 2022

Heart sickness is one of the maximum full-size reasons of mortality in today’s world. Heart sickness proves to be the main reason of loss of life for each guys and women. This impacts the human life very badly. The analysis of coronary heart sickness in maximum cases relies upon on a complicated aggregate and huge extent of scientific and pathological records. Machine studying has been proven to be powerful assisting in making choices and predictions from the big amount of records produced through the fitness care industry. In this report, numerous conventional machine studying algorithms that goals in enhancing the accuracy of heart sickness prediction has been applied. In heart diseases, correct analysis is primary. But, the conventional approaches are insufficient for correct prediction and analysis. In order to use deep studying approach very big datasets are required which aren't to be had in clinical and scientific research. To address this issue, surrogate records is generated from Cleveland dataset. The generated artificial dataset is applied with conventional gadget studying algorithms as properly as with deep studying model. The expected outcomes display that there's an development in class accuracy. The generated artificial dataset performs a vital function to enhance the class prediction especially while coping with sensitive records.
Yogic Management of Constipation
Authors: Prof. (Dr). Kanchan Joshi  , Kalpana Kumari
Published: June 2022

CONSTIPATION is a major physical issue in today's age. Emerged as a problem. Therefore, in the form of treatment of constipation. There are immediate and incomplete benefit of resorting to various medical methods. But in the long run and full benefit is not visible. Today again after the renaissance of yoga. Yoga for protection and protection from diseases are using more and more. In fact less should be understood as a warning by which other diseases. Can surrounded a person like - Indigestion, gas, acidity etc., due to this reason the father of diseases (the giver of birth). Due to which root located in the intestine creates many disturbance, some symptoms of this disease also occur due to which constipation disease occurs.
Blood Donation Administration Framework
Authors: Nandan Kavinde  , Yogesh Prakash Karande
Published: June 2022

Blood is a crucial constituent in human body, it supplies supplement and oxygen to all body cells, due to this fundamental job, blood donation center was presented in this paper. Manual frameworks contrasted with electronic frameworks are time consuming, exorbitant, and human blunders. A mechanized focal blood donation center administration framework is created to help with overseeing Donor records, observing blood screening and putting away, also give secure clinical reports to further develop clinical benefit conveyance. The framework was planned and carried out utilizing MySQL information base, PHP programming language, HTML, CSS, Bootstrap.
Car Damage Assessment for Insurance Companies
Authors: Mandara G S  , Prashant Ankalkoti
Published: June 2022

Analysis of the damaged vehicle that can be automatically claiming insurance that takes human resource, time and effort. Image processing and machine learning techniques are analysing the vehicle damage in the proposed solution. In Advanced solution helps to speed up the claiming process sufficiently. Consider a situation, if a person is driving a car they met an accident the vehicle owner can taken a few photos of the damaged car from a mobile phone that can be send to the insurance company and can just upload the photos to the system. The system can analyse the damage, severity of the damage as well as location of the damage. In this proposed project the insurance company can machine-driven the car damage analysis process without the need for humans to analyse the damage done to the car. Therefore, it is a very challenging task for quality of computer vision techniques and also Machine learning technologies.
The Research of Computer Network Security and Protection Strategy
Authors: Rajat  , Amit
Published: June 2022

With the broad notoriety of computer organize applications, its security is additionally gotten a tall degree of attention. Variables influencing the security of organize is complex, for to do a great job of network security could be an orderly work, has the tall challenge. For security and unwavering quality issues of computer arrange framework, this paper combined with practical work involvement, from the danger of arranging security, security innovation, network some Proposals and measures for the system plan rule, in arrange to create the masses of clients in computer systems to improve security mindfulness and master certain organize security innovation.
Implementation of Contactless Liquid Level Sensing
Authors: Ms. Kshipra Kurnawal  , Ms. Rutuja Jadhav  , Ms. Aboli Adsul  , Dr. Meenakshi M Pawar
Published: June 2022

Usually, the arises to measure liquid levels in containers, in large industries; where large volumes of liquids are stored, in small scale industries and residential buildings in developing countries that sees many households implementing their own domestic water supply system. Measurements by humans may be influenced by sentiments, fatigues, lack of concentration, and so on, which has led to economic losses due lost liquid and wasted electric power. Therefore, researches have been directed toward development of automatic liquid level sensing technologies. This paper will assist instrumentation researchers to know the state of the art in level sensing technology, and practitioners in selecting the right kind of level sensors for a particular application.
Intrusion Detection System Using K-Means and Edited Nearest Neighbour Algorithm
Authors: Mr. Abdul Khadar A  , Modem Tharun Kumar  , Sharath K N  , Sukesh V N  , Tejaswini K N
Published: June 2022

In imbalanced network traffic, malicious cyber-attacks can often hide in large amounts of normal data. It exhibits a high degree of stealth and obfuscation in cyberspace, making it difficult for Network Intrusion Detection System (NIDS) to ensure the accuracy and timeliness of detection. This paper researches machine learning and deep learning for intrusion detection in imbalanced network traffic. It proposes a novel Difficult Set Sampling Technique (DSSTE) algorithm to tackle the class imbalance problem. First, use the Edited Nearest Neighbor (ENN) algorithm to divide the imbalanced training set into the difficult set and the easy set. Next, use the K- Means algorithm to compress the majority samples in the difficult set to reduce the majority. Zoom in and out the minority samples’ continuous attributes in the difficult set synthesize new samples to increase the minority number. Finally, the easy set, the compressed set of majority in the difficult, and the minority in the difficult set are combined with its augmentation samples to make up a new training set. The algorithm reduces the imbalance of the original training set and provides targeted data augment for the minority class that needs to learn. It enables the classifier to learn the differences in the training stage better and improve classification performance. To verify the proposed method, we conduct experiments on the classic intrusion dataset NSL-KDD. We use classical classification models: random forest(RF), Support Vector Machine (SVM), XGBoost, Long and Short- term Memory (LSTM), Adaboost, AlexNet, Mini- VGGNet.
An IoT based Smart Energy Meter Monitoring System using Android Application
Authors: Vaishnavi A. Gote  , Pratiksha A. Bhosale  , Anjali N. Magade  , Manoj A. Deshmukh
Published: June 2022

The headway of the Internet of Things has been arising step by step. The Internet of Things (IoT) spins association that implanted with gadgets, programming, sensors, actuators that help clients in observing and controlling gadgets from a distance and proficiently. In the IoT based framework article and living being are given extraordinary identifiers with the capacity to move information. The area of IoT has intensified from the intermingling of remote advances, microelectromechanical frameworks and the Internet. These days IoT innovation is being applied in numerous areas like power, gas, water and so forth to make our life computerized. These days because of the inordinate utilization of the web, these regions become modernized and online installment framework makes conceivable. However, getting to meter perusing is a manual interaction and has the chance of blunder which causes high income cost .This innovation works with the evaluation of energy utilization and investigation of information for charging and installment. This innovation expects to bring the gadget on the web and associating gadget with the web which is in other term Internet of Things. This innovation utilizing remote correspondence is less expensive than wired medium. Thus, WiFi is more reasonable for the proposed framework as it is extremely considered normal in each home.