bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Factors Influencing the Adaptability of Blended Learning in English
Authors: Li Xueying , Li Qing 
Published: February 2024

Abstract
Based on the POA concept, this study constructed a teacher-led wise teaching model and a student-led wise learning model, emphasizing the interaction between teachers and students in the intelligent learning platform. The teaching process includes independent learning before class, interactive teaching during class and evaluation after class. Empirical Analysis showed that this teaching model significantly improved students’ autonomous learning ability. The study used factor analysis and regression analysis to analyze the effects of factors such as motivation, intelligence literacy, learning self-efficacy, teacher support and resource platform use on learning adaptability. The results showed that these factors had a significant positive effect on improving learning adaptability. Specifically, motivation had a 50% influence on learning adaptation, intelligent literacy increased the efficiency of resource platform use by 45%, learning self-efficacy increased learning effectiveness by 40%, teacher support increased students’ motivation by 30%, and the effectiveness of resource platform use increased by 35%. Overall, the blended teaching model effectively promoted students’ learning adaptation and improved teaching effectiveness, and the study provides a necessary theoretical basis and practical guidance for future teaching reform.
Research on the design of automatic image processing function for intelligent face management system
Authors: Cai Wenlong 
Published: February 2024

Abstract
Around the background of rapid development of intelligent technology, an efficient image processing system oriented to the smart management of human faces is focused on. The system is mainly developed towards high speed, high definition, high integration and reliability. The article investigates a novel automatic image processing algorithm, covering three key modules: automatic exposure control, color interpolation and chromaticity space conversion. The algorithm can process the output image of CMOS sensor in Bayer format in real time and adjust the image parameters to obtain a high-quality image. In terms of face recognition performance, the algorithm has a significant advantage in recognition speed compared with other algorithms, and the average recognition accuracy reaches 94.258%. In the practical application of ID card portrait processing, the image shows a more uniform grayscale distribution in the range of 5 to 255 after automatic color adjustment, and the color quality is significantly improved. Meanwhile, in the portrait enhancement experiments, the images obtained with this image automatic processing algorithm outperform the traditional ID card image processing methods regarding information entropy, mutual information, standard deviation and peak signal-to-noise ratio (PSNR).
Research on Electricity Operation Behaviour Recognition Strategy Combined with Intelligent Image Recognition and Its Key Technology
Authors: Feng Xinwen , Chen Shikuan , Zhou Mingzhe , Yu Qiheng , Ma Hongbo , Liu Jie , Sun Yingxue 
Published: February 2024

Abstract
This paper builds a power operation target detection model based on the YOLOv4 algorithm in intelligent image recognition, and optimizes the YOLOv4 algorithm by combining with the loss function to improve the accuracy of power target operation detection. The kmeans++ algorithm was used to cluster the electric power operation behaviors to obtain a more accurate electric power operation behavior dataset. Three sets of tests were conducted after the model was constructed, targeting the behavioral set of electric power workers in a certain place and the behavior in VOC format, followed by the multi-target tracking effect test. The analysis based on the obtained data showed that the helmet placement detection confidence, fatigue detection confidence, smoking detection confidence, and fall detection confidence reached 0.97, 0.93, 0.89, and 0.93, respectively. The transmission speed got 53.58 fps, and the recall and precision of the multi-target tracking were also above 93%. The YOLOv4 detection model based on keans++ clustering algorithm can effectively detect and identify the variable power operation behavior images.
Research on the Application of Intelligent Recognition Technology in the Prediction of Violation Behaviour at Electricity Work Sites
Authors: Gao Chunhui , Qi Daboer , Gao Apeng , Ning Jing , Qiu Kaiyi , He Wei , Chen Guangliang 
Published: February 2024

Abstract
To realize the safe operation of electric power site, this paper proposes an intelligent recognition technology to automatically identify violations. This study successfully constructs a face detection model for power operation sites by combining deep convolutional neural networks and target detection algorithms. A three-way connected feature pyramid structure containing a neuron self-processing module is adopted, and an accuracy test is completed using a Tri-FPN-based target detection network, significantly improving recognition accuracy. In this paper, we also utilized the on-site images collected by video surveillance equipment, combined with CNN algorithm and HOG feature extraction technology to effectively identify the violations and provide early warning of the breaches of the personnel at the power operation site. MAP curves evaluated the detection performance, and the results showed that the head recognition rate was up to 0.9913, and the accuracy rate of all violations exceeded 0.9350.The high accuracy of CNN-based feature fusion extraction algorithm in the recognition of violations of personnel at the site of electric power operation provides effective technical support to ensure personnel safety.
Performance Enhancement of Madrasah Teachers’: A structural Equation Model
Authors: Syamsiah  , Ramly Mansyur , Basalamah Salim , Bunyamin Andi 
Published: February 2024

Objective: This study highlights the important role of leadership style, teacher competence and emotional intelligence and teacher motivation to improve teacher performance in Madrasah Aliyah. This study aims to explore the factors that cause significant shifts in improving teacher performance at Madrasah Aliyah.

Method: This Study uses is Structural Equation Modeling (SEM). With the validity, reliability, and goodness of fit of the analytical tools used to answer the research hypotheses.

Result and Conclusion: The findings of this study imply that the role of leadership style, work competence, emotional intelligence, and teachers' work motivation directly or indirectly have a positive and significant impact on their performance.

Research Implications: This research proposes relevant and concrete steps in improving teachers' performance. This research encourages the need for collaboration among teachers in developing their professionalism on an ongoing basis such as the application of the latest and innovative learning methods, the development of teacher ideas and creativity and active participation in scientific activities.
Algorithm for predicting death in newborns with respiratory pathology and perinatal damage to the central nervous system on artificial ventilation
Authors: Pukhtinskaya M. G. , Estrin V. V. 
Published: February 2024

The objective was to predict the fatal outcome of the disease in newborns on artificial lung ventilation by means of an intelligent analysis of the immunological database.Materials and methods. The retrospective clinical study included 108 mature newborns. Upon admission to the intensive care unit, on the 3rdday and at the end of the disease, the plasma concentrations of IL-1β, IL-6, IL-8, TNF-α, G-CSF, s-Fas, FGF, NO were determined by ELISA; the relative content of CD3+CD19–, CD3–CD19+, CD3+CD4+, CD3+CD8+, CD69+, CD71+, CD95+, HLA-DR+, CD34+; CD14+, CD3–CD56+ by immunophenotyping; relative content of lymphocytes with expression of AnnexinV-FITC+PI–, AnnexinV-FITC+PI+. By the method of decision trees, the rule of predicting death was formulated.Results. The patient is predicted fatal outcome if, upon admission to intensive care, he has the relative content of lymphocytes with expression of AnnexinV-FITC+PI+ ≥ 0.95 % and plasma concentration of G-CSF ≤ 1.46 pg\ml or G-CSF ≥ 1.46 pg\ml and AnnexinV-FITC+PI+ ≥ 4.75 %(specificity 98.68 %; sensitivity 96.97 %; accuracy 98.68 %).Conclusion. In newborns with respiratory pathology and perinatal involvement of the central nervous system on artificial ventilation, death is determined by the high activity of T-lymphocyte apoptosis mediated by the low plasma concentration of granulocyte colony stimulating factor.
Methemoglobinemia in a child with congenital epidermolysis bullosa
Authors: Lezhepekova Ya. A. , Pshenisnov K. V. , Aleksandrovich Y. S. 
Published: February 2024

Introduction . Methemoglobinemia is a rather rare cause of hypoxemia and hypoxia, however, with a severe course of the disease and an increase in the concentration of methemoglobin in the blood of more than 20 %, this can cause the development of multi-organ dysfunction and death.The objective was to descript the case of methemoglobinemia in a child with congenital epidermolysis bullosa with the use of a combined drug containing benzocaine.Materials and methods. Newborn premature baby boy, from the first pregnancy, gestation period 36 weeks, suffering from congenital epidermolysis. Birth weight 2850 g, height 47 cm. Apgar score in the first minute – seven, on the fifth – eight points. As a local treatment, an aerosol for external use «Olazol» was prescribed. At the age of 56 hours from the moment of birth, a sharp deterioration in the child’s condition was noted in the form of a decrease in SpO2 to 72–76 %, pronounced tachycardia, an increase in methemoglobin concentration in the blood (53.7 %).Results. A distinctive feature of this case was the presence of severe methemoglobinemia, which led to severe metabolic acidosis, venous hypoxemia and tissue hypoxia. Timely diagnosis and adequate therapy in the early stages of the pathological process contributed to the complete stabilization of the child’s condition and the normalization of the blood gas composition fifteen hours after the start of therapy.Conclusion. The use of drugs containing benzocaine in the early neonatal period is a risk factor for the development of methemoglobinemia, which requires a dynamic assessment of the level of methemoglobin in the blood in order to prevent tissue hypoxia.
PENGEMBANGAN KAPASITAS WBS MELALUI PELATIHAN PENGOLAHAN KOMPOS DI PSAA PU 3 CEGER JAKARTA
Authors: Sari Emelia , Ruhiyat Ratnaningsih , Daihani Dadan Umar , Suhardini Didien , Suryana Yunita Friscilia , Krismantan Thalia Putri 
Published: February 2024

Panti sosial perlu meningkatkan kemandirian, sehingga bisa mengurangi ketergantungan terhadap pendanaan dari pemerintah. Capacity building yang berkelanjutan merupakan salah satu kegiatan yang dapat dilakukan dalam rangka pemberdayaan panti-panti sosial yang selama ini merupakan cost center. Berdasarkan hasil diskusi dan survey yang dilakukan secara langsung, maka diperoleh informasi bahwa sebagian besar panti sosial sudah berupaya membangun kemandirian melalui beberapa kegiatan, diantaranya adalah pengelolaan bank sampah, minyak jelantah, keterampilan bengkel, dan lain sebagainya. Dan yang sudah selesai dilakukan adalah kegiatan hibah Matching Fund Kedaireka yang berjudul Green-Techno Sosiopreneur Ternak Magot Bangkitkan Ekonomi Mandiri Panti-Panti Sosial. Salah satu luaran dari kegiatan ini adalah produk inovasi mesin pencacah. Dalam rangka meningkatkan utilitas penggunaan mesin pencacah, khususnya pada PSAA PU 3 Ceger, maka kegiatan Pengabdian kepada Masyarakat (PkM) ini difokuskan kepada pengolahan kompos. Kegiatan ini diharapkan mendatangkan keuntungan ekonomis berwawasan lingkungan terhadap panti. PkM ini diikuti oleh 47 orang peserta. Peserta memberikan nilai baik untuk pelaksanaan kegiatan ini. Pada PkM berikutnya peserta mengharapkan materi lanjutan tentang pengolahan sampah (waste to value) dan bagaimana cara memasarkan produk hasil pengolahannya.
Enteral nutrition with medium-chain triglyceride compared to total parenteral nutrition in patient with chylothorax
Authors: Tedjaatmadja Chintya , Wulandari Yohannessa 
Published: February 2024

Introduction: Chylothorax is associated with longer length of stay, higher morbidity, mortality, and hospitalization cost. The main principle of chylothorax therapy is to reduce the chylous flow. The current nutritional management of patients with chylothorax are a low fat diet with long chain triglyceride (LCT) restriction, enteral nutrition with high medium chain triglyceride (MCT), and total parenteral nutrition. However, low fat diet with LCT restriction takes quite a long time (around 3 weeks) and requires close monitoring due to risk for malnutrition, essential fatty acid, and micronutrient deficiencies. The nutritional management determines the success of conservative therapy in chylothorax patients. The aim of this study was to determine whether a high MCT enteral diet is more superior than total parenteral nutrition regarding the resolution of chylothorax.
Method: Literature searching was conducted using advanced searching in three large databases: Pubmed, Science Direct, and ProQuest using eligibility criteria determined by the authors. Quality of evidences were assessed based on GRADE Guidelines. Level evidence was determined based on Oxford Center of Evidence-based Medicine (CEBM).
Result: Three systematic reviews and one cohort met the PICO and eligibility criteria that had been set. Two studies concluded that enteral nutrition was better than parenteral nutrition. One study concluded that parenteral nutrition could be considered first and one study could not conclude which kind of nutrition was better.
Conclusion: Administration of high MCT enteral nutrition can be the first line therapy in patients with chylothorax and still need close monitoring during the administration. One of the factors that need to be monitored is the daily production of chylothorax volume. The results shown by these studies are inconsistent and warrant further research of high-quality studies regarding the treatment of chylothorax.
Effect of smartphone application with reminder on total fluid intake adequacy and hydration status among adults in Bontang, East Kalimantan
Authors: Sari Handayani Eka Puspita , Sunardi Diana , Sutanto Krisadelfa , Chandra Dian Novita , Friska Dewi , Insani Putri Novia Choiri 
Published: February 2024

Background: About 41% adults in Kalimantan have inadequate total fluid intake (TFI), which is higher than national inadequacy (28%). Inadequate TFI may cause dehydration. The biggest barrier to comply with TFI is to forget to drink. Smartphone application, Hidrasiku with reminder, is expected to be useful in TFI adequacy which may affect hydration status.
Objective: This study aims to determine the effect of the Hidrasiku with reminder on the TFI adequacy and hydration status among adults in Bontang.
Methods: The design of this study was quasi-experimental and cluster sampling. Inclusion criteria were healthy men, age 19-64 years and having a smartphone. Participants suffering with diseases that affected fluid balance and on diet and fluid restriction were excluded. Data collection was conducted from April to June 2023 in Bontang. A total of 106 participants were allocated into two groups, intervention and control. Both groups used Hidrasiku for four weeks, with the intervention group activating the reminder while the control group didn’t. Adequacy of TFI and hydration status were assessed before-after intervention.
Results: A sample of 87 participants completed the study. The median age of the participants was 32 (19-61) years. At the end of intervention, there was significant difference in the TFI adequacy (90.2% vs 63.0%; p=0.003) and a significant increase in TFI +240 mL/day vs – 62.8 mL/day; p=0.002). Meanwhile no significant difference on hydration status (87.8% vs 73.9%; p=0.103).
Conclusions: Hidrasiku with reminder has effect on the TFI adequacy and no effect on hydration status
How IEC 61499 can be a Key Player Toward a New Sustainable Automatic Control Ecosystem?
Authors: Almaz M. A. , Almadi S. , Ghizawi N. , Al Yahaya Z. , Ismaeel S. , Amer Fahad A 
Published: February 2024

In today's fast-paced world of advancements and global industrialization, there is a growing demand for automation systems that are efficient, adaptable and environmentally conscious. These automation control systems play a role in manufacturing, energy, utilities and smart cities. It has become increasingly essential to incorporate sustainability principles into these systems to address the challenges posed by resource depletion, environmental degradation and the urgent need for resource utilization (Zoitl & Strasser, 2016).
Sustainability is no longer an aspiration but a critical requirement in industrial practices as industries strive to reduce their carbon footprint and minimize waste generation. Improving operational efficiency by integrating sustainable practices into automation systems becomes vital to achieving these objectives (Hirsh, Vyatkin, & Hanish, 2006).
The transition from traditional automation systems to the next generation is characterized by moving from rigid and inflexible architectures and components towards more adaptive, modular and distributed frameworks. This shift aligns perfectly with sustainability principles by promoting a relationship between progress and environmental responsibility. The upcoming generation of automation systems, based on the International Electrotechnical Commission (IEC) 61499 standard, shows promise in achieving a more sustainable future.
Outcome of intrauterine insemination in couples with unexplained or male factor infertility at National Referral Hospital of Bhutan
Authors: Dorji Gyem , Wetasin Kanokwan , Gyeltshen Nidup , Dorji Minjur 
Published: February 2024

Objectives:
Jigme Dorji Wangchuck National Referral Hospital (JDWNRH) is the only facility offering intrauterine insemination (IUI) services in the country. In this study, we aim to study the success rate of IUI for the year 2022.

Material and Methods:
This retrospective study utilized secondary data extracted from the medical records of a cohort of 57 patients who underwent IUI procedures at the infertility clinic between January and December 2022. Ethical clearance and site approval were obtained from the Institutional Review Board at Khesar Gyalpo University of Medical Sciences of Bhutan and JDWNRH, respectively. The Statistical Package for the Social Sciences version 26.0 by IBM Corp in Armonk, NY, was used to calculate frequencies, percentages and create statistical diagrams.

Results:
In the year 2022, the overall success rate of IUI was 5.3%. A majority of infertile men, representing 78.9%, fell within the age range of 30–39 years, and oligozoospermia emerged as the most common semen abnormality, affecting 45.6% of the infertile men in this study.

Conclusion:
Our study revealed that the IUI success rate in the country was 5.3%. This success rate of IUI in the country was found to be low compared to the success rate in neighboring countries. This is important information for patients to make informed decisions, aids fertility specialists in devising treatment plans, directs the allocation of resources, drives research and development initiatives, and informs policy and strategic adjustments at the national level.
Обліково-аналітичне забезпечення відповідального управління ланцюгами постачання за умови використання технології блокчейн
Authors: Жиглей Ірина Вікторівна , Козир Вікторія Ігорівна 
Published: February 2024

Стаття присвячена питанням виявлення можливостей технології блокчейн у процесі обліково-аналітичного забезпечення відповідального управління ланцюгами постачання, що стрімко розвивається протягом останнього десятиліття. Досліджено зарубіжний досвід використання технології блокчейн у системі управління та в системі бухгалтерського обліку як її складової. Розглянуто відмінність між поняттями «управління процесом постачання» та «відповідальне управління ланцюгами постачань» з акцентом на соціальні, екологічні, етичні та економічні аспекти. Визначено можливості та переваги впровадження технології блокчейн у діяльність українських компаній у процесі відповідального управління ланцюгами постачань та обліково-аналітичного забезпечення цього процесу. Наведено принцип роботи технології блокчейн у контексті учасників ланцюга постачань з необмеженою кількістю учасників, географічно розташованих на значних відстанях. Обґрунтовано доцільність використання технології блокчейн для обліково-аналітичного забезпечення відповідального управління ланцюгами постачання як такої, що підвищує прозорість, достовірність інформації, прискорює її обмін, в результаті чого зростає довіра між всіма учасниками ланцюга постачання. Визначено, на яких саме ділянках обліку та яким чином ця технологія може бути використана: для аналізу платоспроможності контрагентів, через контроль вантажу на всіх етапах пересування, через укладання смарт-контрактів тощо. Відповідальне управління ланцюгами постачання за використання технології блокчейн розглянуто як складову ERP з можливістю підключення як всередині, так і за межами організації.
Efektivitas tanaman kangkung (Ipomoea reptans) dan pakcoy (Brassica rapa) sebagai fitoremediasi terhadap pertumbuhan dan kelangsungan hidup ikan lele sangkuriang (Clarias gariepinus) pada budidaya sistem akuaponik
Authors: Alfatihah Ainayah , Latuconsina Husain , Prasetyo Hamdani 
Published: February 2024

Ikan lele sangkuriang (Clarias gariepinus) merupakan hasil perkawinan antara lele dumbo betina F2 dengan jantan F6. Menurunnya kualitas air dapat mempengaruhi pertumbuhan dan kelangsungan hidup ikan lele sangkuriang (C. gariepinus). Salah satu cara untuk mencegah menurunnya kualitas air yaitu dengan cara fitoremediasi dengan teknik budidaya sistem akuaponik. Penelitian ini bertujuan untuk mengetahui efektivitas fitoremediasi terhadap pertumbuhan dan kelangsungan hidup ikan lele sangkuriang (C. gariepinus) pada budidaya sistem akuaponik. Metode yang digunakan adalah metode eksperimen, Rancangan Acak Lengkap (RAL) dengan 3 perlakuan yaitu; A (kontrol), B Kangkung (Ipomoea reptans), dan C Pakcoy (Brassica rapa). Analisis data menggunakan SPSS ver 29 yang meliputi uji Anova dan kruskal wallis yang bertujuan untuk membandingkan ada tidaknya perbedaan pertumbuhan ikan lele sangkuriang (C. gariepinus) antar perlakuan, dan uji korelasi yang bertujuan untuk mengetahui hubungan antara kualitas air dengan sintasan dan pertumbuhan ikan lele sangkuriang (C. gariepinus). Hasil analisis deskriptif menunjukkan bahwa penggunaan fitoremediasi efektif terhadap pertumbuhan dan kelangsungan hidup ikan lele sangkuriang (Clarias gariepinus) dengan parameter lingkungan yang ideal. Meskipun pertumbuhan Panjang dan bobot ikan lele lele sangkuriang (C. gariepinus) maupun kelangsungan hidup tidak berbeda signifikan antar perlakuan, namun pertumbuhan tertinggi didapat pada perlakuan kangkung (I. reptans), dan kelangsungan hidup ikan lele sangkuriang (C. gariepinus) tertinggi didapat pada perlakuan Sawi pakcoy (B. rapa). Artinya penggunaan fitoremediasi efektif untuk mendukung partumbuhan dan kelangsungan hidup ikan lele sangkuriang pada budidaya sistem akuaponik.