bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel scoring system for early diagnosis of necrotizing enterocolitis: integrating clinical and laboratory data with urinary caveolin-1 levels
Authors: Corebima Brigitta I.R.V. , Rohsiswatmo Rinawati , Santosaningsih Dewi , Barlianto Wisnu , Handono Kusworini 
Published: April 2024

IntroductionNecrotizing enterocolitis (NEC) poses a significant threat to preterm infants, with nonspecific early manifestations complicating timely diagnosis. Therefore, this study aimed to develop a novel scoring system for early diagnosis of NEC, incorporating clinical and laboratory data with urinary caveolin-1 levels.Material and methodsA single-center prospective cohort study was conducted at a tertiary hospital in East Java, Indonesia. NEC diagnosis was established by Bell’s criteria and proven gut dysbiosis. Urinary levels of claudin-2, caveolin-1, and epidermal growth factor (EGF) were assessed as potential indicators of tight junction disruption. The selected urine biomarker cutoff value was determined using symbolic classification analysis and combined with clinical and laboratory parameters from Bell’s criteria to create an NEC scoring system, validated with the Aiken index. Sensitivity and specificity analyses were performed.ResultsThirty-four neonates, comprising NEC, preterm non-NEC, and term infants, were included. qPCR analysis highlighted elevated Klebsiella, Lactobacillus, Clostridium, and Bacteroides levels in NEC patients, indicating a gut dysbiosis trend. Among 3 biomarkers, caveolin-1 ≥ 17.81 ng/dl on day 3 demonstrated 72.86% negative predictive value and 87.50% positive predictive value. The combined scoring system which comprised abdominal cellulitis, distension, radiology, advanced resuscitation at birth, prematurity or low birthweight, platelet count, sepsis, orogastric retention, metabolic acidosis and caveolin-1 findings exhibited an AUC of 0.922 (95% CI: 0.81–1.00, p < 0.001), with ≥ 1.81 as the cutoff, offering 93% sensitivity and 94% specificity.ConclusionsUrine caveolin-1 on day 3 signifies enterocyte tight junction damage and the acute phase of NEC in premature infants. The proposed scoring system demonstrates good performance in predicting NEC incidence in preterm infants.
Extreme ozone episodes in a major Mediterranean urban area
Authors: Massagué Jordi , Torre-Pascual Eduardo , Carnerero Cristina , Escudero Miguel , Alastuey Andrés , Pandolfi Marco , Querol Xavier , Gangoiti Gotzon 
Published: April 2024

Abstract. This study analyses three extreme ozone (O3) episodes that occurred in Barcelona (NE Spain) during the summers of 2015, 2018, and 2019. These episodes exceeded the EU's hourly information threshold (180 µg m−3) for the first time since at least the year 2000, raising concerns due to Barcelona's large population. By employing experimental data and various modelling tools, our main objective is to elucidate the underlying phenomena of these recent O3 episodes and improve predictive capabilities. The findings indicate that the factors contributing to these occurrences are largely consistent across episodes. These factors, with estimated O3 contributions specified for particular instances, comprise (i) initial O3 accumulation in surrounding coastal areas; (ii) weekend occurrence, accompanied by the corresponding weekend effect (+15 µg m−3); and (iii) the prevalence of Tramontana meteorological conditions during above-normal temperatures, which (iv) force the convergence of multiregional polluted air masses to the city (+45–65 µg m−3). Major source areas include regions of southern France through the Gulf of Lion, the interior of the Mediterranean, and eastern Spanish coastal regions, including Barcelona's pollution plume. Some of these factors, which may manifest in the days preceding the episodes, are observable or can be anticipated. This study enhances understanding of the mechanisms driving extreme O3 episodes recently observed in Barcelona and provides valuable insights for prediction.
Prevalence	of	Depression	among	Geriatric	Population	and	its	Association	with	Dependency:	A	Cross-Sectional	Study	in	Rural	Eastern	Haryana,	India
Authors: Jolear Swati , Tak Himani , Aggarwal Satish	Kumar 
Published: April 2024

Introduction:	Depression in the elderly is becoming common and has dangerous implications on
elderly that not only lowers quality of life, but it also has an impact on the prognosis of other chronic
conditions leading to disability. According to WHO, depression occurs in 7% of elderly population and in India
prevalence of depression among elderly is 9.3%. Objectives:	To estimate the prevalence of depression among
geriatric age group and to determine the association between the depression and the dependency among
geriatric population. Method:Present cross sectional study was conducted with 220 villagers of age above 60
years from catchment area of Rural Health training center of medical college. The identiication of depression
and dependency was carried out using the Geriatric Depression Scale (GDS) and Barthel Index respectively.
Results: The prevalence of depression and dependency among the geriatric population was found out to be
28 % and 31%, respectively. There was signiicant association between median scores of Barthel Index
among depressed and non-depressed individuals (p value< 0.001). There was signiicant association
between depression and dependency (P value=0.05).Conclusion: The present study shows 28% of
prevalence of depression among elderly population and dependency as a signiicant risk factor for
depression, thus showing the importance of analyzing dependency status while screening for the mental
health status of the elderly person.
Keywords:Barthel Index, Dependency, Depression, Geriatric Depression Scale
Perbandingan Cascade Forward Neural Network dan Feed Forward Neural Network untuk Prediksi Keluaran Daya PV di PLTH Pantai Baru Bantul
Authors: Mahmudah Norma , Millah Ibrahim Saiful , Afandi Achmad 
Published: April 2024

Pembangkit listrik tenaga surya memiliki beberapa keuntungan yaitu produksi yang terus menerus, mengurangi kebutuhan listrik, pemeliharan Photovoltaic (PV) yang rendah dan umur PV yang lebih dari 30 tahun, sehingga pengunaan panel surya dapat dioptimalkan dengan mengunakan prediksi keluaran daya PV. Tujuannya adalah untuk mengetahui keluaran daya PV untuk kedepannya. Prediksi keluaran daya PV dapat mengunakan Artificial Neural Network (ANN). Pada penelitihan ini dilakukan perbandingan prediksi keluaran daya PV dengan megunakan Cascade Forward Neural Network (CFNN) dan Feed Forward Neural network (FFNN) dengan mengunakan Algoritma Levenberg-Marquard sebagai fungsi aktifasi dari proses pembelajaran prediksi keluaran daya PV. Besaran Error dihitung dengan mengunakan Mean Square Error (MSE). Dari hasil penelitihan dengan metode Cascade Forward Neural Network (CFNN) dengan algoritma Levenberg-Marquard didapatkan hasil MSE yang lebih baik pada learning rate 0,1 dengan MSE sebesar 0,0042% sedangkan untuk Feed Forward Neural network (FFNN) juga mengunakan algoritma Levenberg-Marquard didapatkan hasil MSE sebesar 0,007% dengan learning rate 0,05. Dari hasi penelitihan menunjukkan bahwa CFNN memberikan nilai MSE terbaik, sehingga nilai error MSE yang terkecil tersebut menjadikan acuan dalam sistem manajemen energi untuk memprediksi keluaran daya PV.
The Application of Artificial Intelligence (Ai) and Internet of Things (Iot) Middleware in Agriculture
Authors: Lee Hae-Jun 
Published: April 2024

Artificial intelligence (AI) devices like master frameworks, regular language handling, discourse acknowledgment, and machine vision have modified both the amount and nature of work in the rural area because of the developing worldwide populace, the rising interest for food, as well as changes in climate and the availability of water. Specialists and researchers are presently attempting to involve new IoT advances in savvy cultivating to help ranchers in making better seeds, crop assurance, and manures utilizing AI technology. Both the nation's overall economy and the profitability of ranchers will be benefited from this. Farming robots, prescient investigation, and soil and yield observing are the three main regions where AI is beginning to appear. In this sense, ranchers are utilizing sensors and soil test all the more often to gather information that the executives frameworks might use for more examination. Through an outline of AI applications in the farming business, this paper makes a commitment to the area. It starts with a prologue to AI and an investigation of all AI strategies utilized in the horticultural area, including AI, the Internet of Things using Universal Middleware, master frameworks, picture handling, and PC vision. This study incorporates a complete examination of the literature to research how artificial intelligence (AI) and the Internet of Things (IoT) are utilized in farming.
PV-based Performance Evaluation of Zeta and Sepic Topologies for EV Applications
Authors: Bondu Pavan Kumar Reddy  
Published: April 2024

In this paper, a comparative performance analysis was proposed for PV fed EV charging system for ZETA and SEPIC DC-DC converter topologies. The utilization of Electric vehicles has gained significance in recent years due to societal awareness and increasing concern for environmental sustainability. EV charging time plays a vital role in modern-day vehicle commuting with energy-efficient performance. The selection of an appropriate DC-DC converter topology plays a significant role for fast charging with improved efficiency. The paper presents an optimized parameter selection, design, simulation methodology & relative performance analysis between the ZETA and SEPIC converter topologies with and without MPPT algorithm for EV charging applications. The MPPT algorithm based on P&O and IC techniques investigates for switching time of the ZETA and SEPIC converters under standard test conditions of solar PV panel i.e., at irradiance of 1000 W/m2 and temperature of 25oC. In this article MATLAB/Simulink was developed to explore the performance of both topologies with and without MPPT approaches for battery SoC, battery voltage and charging current. The study shows that the battery charged from an SoC of 50% to 50.035% for SEPIC converter while the ZETA converter charges from 50% to 50.025% with a similar simulation time of ten seconds with Solar power input. The results demonstrate the DC-DC SEPIC converter is the best choice for EV charging applications through the PV system.
Productivity Improvement of Coal Hauling using Lean Techniques: A Case Study in Coal Mining Company in Indonesia
Authors: Selamat Walmanto Hia  
Published: April 2024

The adoption of the lean concept as a company strategy to creates competitive advantages and provides important savings opportunities has been increasing recently. Its application has been extended from manufacturing to almost all types of industry including coal mining under the realization of the need for productivity improvement and the need for efficient operation. However, published information and articles showing the real application of lean in the mining sectors are still scarce. The objective of this paper is to show the application of lean production method in coal hauling operations in one of coal mining company in Indonesia. The lean method with Plan, Do, Check, Act (PDCA) cycle has been utilized to identify, analyze and improve productivity. The main result of this study reveals that implementing lean increase the productivity of coal hauling operations from 115 to 129 tons per hour. Statistical test using two sample t-test confirmed the significance of the result. This paper demonstrates lean application in coal hauling operations and bring significant result.
Enhancing Online Delivery of Practical Labs for Cyber Security Course Using Virtual Laboratories
Authors: Nazleeni Samiha Haron  
Published: April 2024

This research work is to create a application as web service to make it available on web for web service discovery. The most significant yoga stance is well-known on a global scale and supports the health advantages advocated by the ancient sages. OpenPose estimates that computer vision technology can help yoga practitioners achieve the greatest form and alignment. The integration of the OpenCV, Python, and MediaPipe frameworks is the main emphasis of this research project in order to develop an OpenPose estimation system for yoga poses. A camera is used to capture the yoga practitioner's motions, and a deep learning model is used to predict the important body parts. The algorithm then looks at these essential aspects to determine if the practitioner is doing the pose correctly or whether any adjustments are needed. The device gives the practitioner immediate feedback, allowing them to modify their alignment and posture as necessary. The OpenPose estimate system can help with the practice of yoga by offering detailed visualizations of the essential body parts throughout each posture in addition to providing real-time feedback Practitioners may more clearly understand the right form and alignment and make the required adjustments by utilizing this visualization. Additionally, the OpenPose estimation system enables the tracking of development over time. Practitioners who want to practice alone at home or may not have access to an instructor can also benefit from it. This paper offers a MediaPipe, OpenCV, and Python-based OpenPose estimation system for yoga positions. For optimal form and alignment, the tool may offer real-time feedback and visual representations of key body parts throughout each position. It is useful tool for yoga teachers and students, enhancing yoga's safety and efficacy while supporting the practice.
Emotional Exhaustion in Morocco: Quantitative Analysis of Influencing Factors among Executives
Authors: Ikrame EL-Abbadi  
Published: April 2024

The objective of this study is to explore the relationship between the individual and their organization, with a particular focus on emotional exhaustion. Using a mixed empirical approach, we aim to better understand the causes of emotional exhaustion, thus providing in-depth insights into this critical dimension of the connection between individuals and their professional environment.
Following the conclusions of the qualitative study conducted with fourteen executives experiencing emotional exhaustion, we implemented a questionnaire to assess the extent of this phenomenon. A survey of 327 executives in the Moroccan private sector was conducted to validate the quality of measurement scales, the overall model, and research hypotheses. The analysis of the data collected during this survey reveals the significance of workplace monotony, role ambiguity, and recognition at work in triggering emotional exhaustion.
The State of Teacher Training in the Conditions of Dual Training
Authors: A.A. Seitaliyeva  
Published: April 2024

The purpose of this article is to understand and justify the conditions for the use of elements of the dual training system in the implementation of professional educational programs to improve the efficiency and quality of training of qualified pedagogical personnel in secondary education institutions.
The article discusses the advantages and disadvantages of dual education as a technology for preparing bachelor's degree programs in modern conditions of pedagogical university. Nowadays the topic of "dual training" is a very urgent problem on the pedagogical platform. Because vocational education has never been conceived without connection with the manufacturing sector. The authors describe how dual education is carried out abroad, as well as how the dual education model is being implemented in Kazakhstan. As an example to describe the introduction of elements of dual training, the system of dual training of some pedagogical universities of the Republic of Kazakhstan is presented. The article shows that this technology makes it possible to solve the tasks assigned to the pedagogical university for the training of pedagogical personnel for the system of secondary vocational education. Dual training reduces the gap between theory and practice, promotes the professional development of teaching staff. In addition, it sets new tasks for the higher education system: the development of dual training programs, the regulation of tripartite relations "university – student – employer".
Augmented Reality Based Cultural and Natural Heritage Preservation of Quirino Province: A Proposed Developmental Framework
Authors: Arsenia V. Duldulao  
Published: April 2024

As the province of Quirino is the melting pot of the Region 02 and nearby provinces, consolidation of the list of all cultural properties that are deemed significant to the province’s cultural and natural heritage—both tangible and intangible is very encouraging. What people see now is the outcome of a centuries-long process of evolution, a method influenced by natural changes but was accelerated by human effort, adding, adapting, and replacing.
This study aims to design a developmental framework with augmented reality for the preservation of the cultural and natural heritage of Quirino. Design thinking methodology was used to understand the users, and to create innovative solutions to the problems derived. Systems modelling was used to represent a system based on notations from the Unified Modeling Language (UML). Survey and descriptive analysis were used to analyze results from Municipal Tourism officers and LGU employees. The proposed developmental framework promotes virtual tourism using AR, preserving the cultural and natural heritage. The province's diverse culture is safeguarded for future generations through heritage preservation and educating people on its importance in the nation's history.
The Research on Mongolian Dialects and Their Vitality
Authors: Badamsuren Yadamjav  
Published: April 2024

The research purpose is to study Mongolian dialects within the framework of the language-saving policy and to define their language vitality and endangerment based on some of the international criteria. In this research, we used several sociolinguistics methodologies such as sociological survey, collecting and developing the materials, investigative and statistical methods, comparing logical, correlation, analytic, synthetic methods, induction, and deduction. Here the authors tried to study the Language Vitality and Endangerment/Language Vitality Assessment (UNESCO 2003), which is used more commonly and frequently at the international level, to define Mongolian dialects’/languages’ vitality,
Finally, our research was made on eighteen Mongolian dialects such as khotong, darkhad, khalkh, Kazakh, bayad, uzemchin, torguud etc…. As a result of the research, most of the Mongolian dialects included in the categories such as don’t heritage their languages to the next generation or severely endangered. During the research, we observed that several factors such as demography, politics, geography, social and economic situation, psychology, population movement, government policy on language, and others are influencing the extinction of the minority languages of the nations and ethnic groups.
Eventually, it is necessary to study, save, revitalize, and document the dialects and pass them to on the next generation.
МОДЕЛИРОВАНИЕ ОБРАЗА КАЗАХСТАНСКОЙ МОЛОДЕЖИ В СОВРЕМЕННОМ МЕДИЙНОМ ДИСКУРСЕ
Authors: Жаркынбекова Ш.К. , Бейсембаева Г.З. , Вишницкая В.А. 
Published: April 2024

В статье на основе анализа языковых маркеров описывается социокультурный портрет молодежи Казахстана, представленный в различных сферах современной жизни – политике, культуре, спорте, искусстве, образовании и т.д. Проблемы молодежи являются важной темой казахстанского медиадискурса, поскольку имеют большое значение для коллективного языкового сознания. Цель и специфика предмета исследования обусловили применение комплексной методики исследования, охватывающей концептуальный и контекстуальный анализ, анализ дискурса, интерпретационный метод. Материалом для анализа послужили тексты из печатных и электронных казахстанских русскоязычных СМИ в период с 2019 по 2023 гг.. В выборку вошли такие издания, как «Ulysmedia.kz», «Orda.kz», «Kazpravda.kz», «Inform.kz», «Kapital.kz», «Digitalbusiness.kz» и др. Всего было проанализировано 45 статей, среди которых для более глубокого дискурсивного анализа были отобраны 27 статей, содержащие наиболее типичные репрезентации молодежи. Отбор публикаций был осуществлен с помощью поисковой системы электронных архивов газет по ключевым словам «молодежь», «молодые/молодой», «казахстанская молодежь». Для инвентаризации изучаемых единиц применялись статистические методы (сплошная текстовая выборка, фиксация контекстов, содержащих искомые единицы). Объектом научного исследования является образ молодежи. Как показало исследование, лингвистические репрезентанты образа молодежи реализуются в высказываниях различного объема (слова, словосочетания, предложения, текста) и при помощи разных изобразительных средств (эпитетов, метафор, сравнений). Авторы статьи полагают, что отмеченные образные характеристики позволяют в содержательном плане определить тенденции в вербальной репрезентации казахстанской молодежи в СМИ и передаваемых публичных смыслов.
ҚАЗІРГІ АЙТЫСТЫҢ КӨРКЕМДІК ЕРЕКШЕЛІГІ (Тәушен Әбуова айтыстары негізінде)
Authors: Бөкен Г.С. , Тлеубердина Г.Т. , Берікбол Т. 
Published: April 2024

Мақалада айтыс жанрының зерттелу барысы, бұрынғы және қазіргі айтыс өнерінің қалыптасуы мен дамуына ақын әйелдердің қосқан үлесі мен алатын орны сараланады. Бұл орайда белгілі түркістандық суырыпсалма ақын Тәушен Әбуованың айтыстары негізге алынып қарастырылады. Тәушен Әбуованың әдеби мұрасы бұрын-соңды толық зерттеу нысанына алынбағандықтан, ақынның Youtube желісінің қоры мен айтыс жинақтарында (антологияларда) жарияланған сөз жарыстары негізге алынады. Яғни ақынның Шайқым Қасымбековпен, Көпбай Омаровпен, Манап Көкеновпен, Тұрғанбай Егізбаевпен, Тұрар Байсариевпен, Әшірат Мұсаевпен,Қалихан Алтынбековпен, Ермек Омаровпен, Мұхамбетқали Тұрсановпен, Ыдырыс Иманбердиевпен айтыстары зерделенеді. Айтыскердің жұп болған айтыскерлерімен сөз додаға түскен сәттегі ұтымды ойлары мен қағытпалары байыпталады. Әрі тарихи-әлеуметтік, қоғамдық, саяси, әдеби мәселелерге байланысты өміршең тақырыптарды негізгі нысанға ала отырып, кейінгі жастардың тәлім-тәрбиесіне, отбасы құндылықтарын қастерлеп, жас ұрпақтың тарих пен әдебиетті сабақтастықта танып, ұлттық болмысты айырылмауды үндеген айтыс мәтіндеріндегі қастерлі ойлары зерделенеді. Айтыс тарихындағы қазақ қыздарының сара жолын көркемдік тұрғыдан құнды айтыстарымен жалғастыра білгені, айтысқа қойылатын талаптар мен міндеттерді ұстанып, қазіргі айтыс тарихында өзіндік ізі мен қолтаңбасын қалдыра білген өнегелі өміріне тоқтала келе, жалпы қазақ айтысының тарихындағы Тәушен ақынның орны мен үлесі айқындалады. Ақынның айтыстары тақырыптық-идеялық, мазмұндық, көркемдік ерекшеліктері тұрғысынан талданады.