bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human Action Recognition in Military Obstacle Crossing Using HOG and Region-Based Descriptors
Authors: Kolawole Adeola O. , Irhebhude Martins E. , Odion Philip O. 
Published: February 2025

Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for military obstacle-crossing activities. This paper focuses on recognizing human actions in an obstacle-crossing competition video sequence where multiple participants are performing different obstacle-crossing activities. This study proposes a feature descriptor approach that combines a Histogram of Oriented Gradient and Region Descriptors (HOGReG) for human action recognition in a military obstacle crossing competition. The dataset was captured during military trainees’ obstacle-crossing exercises at a military training institution to achieve this objective. Images were segmented into background and foreground using a Grabcut-based segmentation algorithm, and thereafter, features were extracted and used for classification. The features were extracted using a Histogram of Oriented Gradient (HOG) and region descriptors from segmented images. The extracted features are presented to a neural network classifier for classification and evaluation. The experimental results recorded 63.8%, 82.6%, and 86.4% recognition accuracies using the region descriptors HOG and HOGReG, respectively. The region descriptor gave a training time of 5.6048 seconds, while HOG and HOGReG reported 32.233 and 31.975 seconds, respectively. The outcome shows how effectively the suggested model performed.
STRATEGI PEMBELAJARAN LEMBAGA KURSUS AL-AZHAR PARE UNTUK MENINGKATKAN KEMAMPUAN PESERTA DIDIK DALAM MUHADASTAH
Authors: Baihaqi Moh Hamdan , Abdullah Halim Aad 
Published: February 2025

Arabic learning strategy in Al-Azhar pare course institution in improving the ability of students in muhadastah is very structured, both in terms of preparation of material and teacher/teacher readiness,besides the implementation of learner strategies also shows readiness in educating because teachers are really proficient and equipped with interesting methods so as to create a pleasant learning atmosphere for students. Third, the evaluation is carried out every week and end of the month which aims to determine the ability of students and there is also an evaluation for teachers which aims to make teachers more creative and disciplined time in teaching

Keywords: 3-5 keywords, Learning Strategies, Learner, Muhadastah

Abstrak
Strategi pembelajaran bahasa arab dilembaga kursus al-azhar pare dalam meningkatkan kemampuan dalam muhadastah peserta didik sangat terstruktur ,baik dari segi penyusunan materi dan kesiapan guru/pengajar,selain itu penerapan strategi pembelajar juga menunjukan kesiapan dalam mendidik karena guru benar-benar mahir dan dibekali metode yang menarik sehingga menciptakan suasana belajar yang menyenangkan bagi peserta didik. Ketiga, Evaluasi dilakukan setiap minggu dan akhir bulan yang bertujuan mengetahui kemampuan peserta didik dan juga ada evaluasi bagi pengajar yang mana bertujuan agar pengajar lebih kreatif dan disiplin waktu dalam mengajar

Kata Kunci: Strategi Pembelajaran, Peserta Didik, Muhadastah
The Application of Thought Experiments in the Teaching of Ethics
Authors: Szota Cintia 
Published: February 2025

Ethical thought experiments has played a pivotal role in the discussion of certain dilemmas in applied ethics since the second half of the 20th century. Ethicist turned to these mental experiments for different purposes from confuting theories to questioning the audience's moral beliefs and convictions. Although, there are some doubts about the utility of ethical thought experiments, it has been emphasised by scholars that such experiments can be useful tools in discussing different dilemmas through imaginary scenarios. But could these thought experiments successfully applied in Ethics lessons as well? And what can students benefit from thinking about contemplating about moral dilemmas in imaginary scenarios? Herein, I will attempt to demonstrate how thought experiments can not only enable the teacher to create a diverse, freed atmosphere in the classroom, but they can also contribute to developing students' debate and reasoning skills, moral sense, along with their tolerance towards others.
Although, there are sceptic remarks about the utility of ethical thought experiments, claiming that such method does not allow the audience to solve moral dilemmas through abstract scenarios with the help of intuition, it will be highlighted in my paper that even with these difficulties that are raised in relation to thought experiments, that even elementary school students can profit from participating in such experiments in Ethics.
Reintegração Laboral dos Trabalhadores com Transtornos Mentais
Authors: Manhice António Jeremias 
Published: February 2025

A reintegração laboral dos trabalhadores com transtornos mentais é fundamental após a sua reabilitação.
O presente artigo faz uma abordagem sobre como é que os gestores conduzem o processo de reintegração laboral dos trabalhadores com transtornos mentais e que dificuldades encaram.
Para a concretização deste estudo optou-se pela abordagem qualitativa na sua técnica de análise descritiva das informações,sobre o processo de reintegração dos trabalhadores com transtornos mentais, recolhidaspor meio de entrevistas semi-estruturadasadministradas aosgestores. A entrevista para os gestores centrou-se em aspectos como os procedimentos que estes usam durante a reintegração, o conhecimento e experiência que têm sobre este processo.
Na abordagem qualitativa, os dados revelaram a dificuldade na reintegração laboral dos trabalhadores com transtornos mentais aliada à falta de políticas de saúde mental que abordam aspectos sobre este processo, bem como a falta de orientações dos gestores por parte dos profissionais de saúde mental.
No que diz respeito aos procedimentos que os gestores usam para reintegração laboral dos trabalhadores com transtornos mentais, dos sete entrevistados, 100% afirmaram que não há instrumentos legais específicos que lhes orientam durante o processo de reintegração laboral dos trabalhadores com transtornos mentais.

Os gestores referiram ainda, haver dificuldade na interpretação da junta médica, visto que esta traz uma linguagem técnica e não dá uma informação detalhada sobre as potencialidades e limitações dos pacientes (trabalhadores), nem sobre seu diagnóstico. No entanto, alguns pacientes/trabalhadores com transtornos mentais é que dão informações aos seus gestores sobre as actividades que devem desempenhar.
Com este estudo concluiu-se que a junta da saúde não ajuda aos gestores a atribuírem tarefas aos trabalhadores com transtornos mentais de acordo com as suas particularidades psicofisiológicas. No entanto, alguns pacientes/trabalhadores com transtornos mentais é que dão informações/opiniões aos seus gestores sobre as actividades que devem desempenhar.
Os gestores das instituições não são apoiados pelos serviços de Saúde mental na reintegração laboral dos trabalhadores com transtornos mentais, o que faz com que haja dificuldades durante este processo , tal como esta preconizado na Estratégia e Plano de saúde Mental(2006-2015) que umas das estratégias é a reintegração sócio- laboral e garantiu-se a monitoria de todo plano de acção.
The Israeli Dairy Farming:
Authors: Wallang Bart A. , Walsiyen Myrna B. 
Published: February 2025

This study was conducted to document the Israeli dairy farmingwhich includes dairy farmers, their operations and management practices,milk production performance, and milking procedures at Kefar Vitkin, KibbutzHama'apil, Kibbutz Ma 'abarot, Kibutz Eyal dairy farms and some Kibbutz farmin the northern part of Israel.The data gathered were based on the researcher's observations, personalinterview with the dairy farm owners and workers including Mr. Adin fromthe Ministry of Agriculture, Israel.Dairy farming in Israel is operated by two large sectors, the Moshav(private owned) and the Kibbutz (communal). Each dairy farm, may it be controlledby a Moshav or a Kibbutz, is given a quota by the government as to thevolume of milk that it should produce. All the milk produced by the differentdairy farms are monitored by the government. Any excess milk produce overthe farm quota is bought at 75% lower than the regular price.There is only one dairy breed maintained by the farmers. The Israeli Holsteinbreed was developed by the Israeli Breeders Association from a crossbetween the German Holstein bull and the Israeli Damascus cow.Dairy farmers breed their heifers at 15 months old for these heifers tohave their first calving at 24 to 25 months old. Cows are bred 70 days aftercalving, however, for second timers, breeding is done BO days after calving.This is to have a continuous milk supply Cows are milked for a period of sevenmonths from calving, after which, they are allowed to dry off for a period of 80days for the second timers and 70 days for older cows.Calves are separated from the cows immediately after birth and aresubjected to dehorning at two months old.Milking of cows is done twice a day but some milk their cow three type milking machine. The volume of milk produced by the Israeli Holsteincow per day can be as high as 46 liters particularly during the winter season.During summer, milk production is reduced by 15%. On the average, the IsraeliHolstein cow produces 36 liters of milk per day or 11, 118 kg of milk peryear containing 3. 14% protein and 3. 58% fats. The peak of milk production isreached on the third week of second month of lactation and start to decline onthe third month.The different dairy farms have to maintain good milk quality to get agood price. To do this, each farm has its own nutritionist who are responsiblein formulating the ration of the dairy farm animals.Each farm has also its own veterinarian who visits the farm twice aweek to look into the health of the animals and to perform insemination. Furthermore,the dairy farmers keep abreast with the Dairy Industry for new informationor disease warning on dairy farming through the internet.
Factors Influencing Mathematics Teaching as a Career Choice (FIMT-Choice): An Instrument Development and Validation
Authors: Madinno Carmelo W. 
Published: February 2025

The study developed and validated an instrument that assess the motivations of secondary mathematics pre-service teachers (SMPTs) in choosing mathematics teaching as their career, hereto referred as Factors Influencing Mathematics Teaching as a Career Choice (FIMT-Choice). The study adopted items from Factors Influencing Teaching as a Career Choice (FIT-Choice) instrument by Watt and Richardson and calibrated or added items suited to the local area. The notion that content mathematics could be among the motivations of secondary pre-service teachers in choosing math-teaching career was also considered. The study generated 56 final items in the FIMT- Choice instrument, which were validated among 171 secondary mathematics pre-service teachers (SMPTs) in two prominent teacher education institutions in the Cordillera Administrative Region, Philippines. Statistical tools such as Cronbach’s Alpha, Bartlett's Test of Sphericity, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and the Principal Component Factor Analysis were used to establish the reliability and validity of the instrument. The results suggest that the SMPTs consider 10 valid and reliable constructs in choosing mathematics teaching as their career. Particularly, the SMPTs separate the mathematics, the teaching, and the combined mathematics teaching aspects in their motivations in entering the mathematics-teaching career. Thus, the FIMT-Choice Scale assess more specific areas of motivations in choosing mathematic- teaching as a career among SMPTs compared with the FIT-Choice Scale by Watt and Richardson. Hence, the FIMT- Choice Scale is a more precise instrument in exploring the motivations of SMPTs in entering the methematics teaching career.
Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction
Authors: Dağkurs Birce , Atacak İsmail 
Published: February 2025

Background
Energy consumption predictions for smart homes and cities benefit many from homeowners to energy suppliers, allowing homeowners to understand and manage their future energy consumption, improve energy efficiency, and reduce energy costs. Predictions can help energy suppliers effectively distribute energy on demand. Therefore, from the past to the present, numerous methods have been conducted using collected data, employing both statistical and artificial intelligence (AI)-based approaches, to achieve successful energy consumption predictions.

Methods
This study proposes a deep learning-based novel ensemble (DLBNE) method with the best score transferred-adaptive neuro fuzzy inference system (BST-ANFIS) as a high-performance and robust approach for energy consumption prediction. The proposed method uses deep learning (DL)-based algorithms, including convolutional neural networks (CNN), recurrent neural networks (RNN), long short-term memory (LSTM), bidirectional long short-term memory (BI-LSTM), and gated recurrent units (GRUs) as base predictors. The BST-ANFIS architecture combines the individual outcomes of these predictors. In order to build a robust and dynamic prediction model, the interaction between the base predictors and the ANFIS architecture is achieved using a best score transfer approach. The performance of the proposed method in energy consumption prediction was verified through five DL methods, five machine learning (ML) methods, and a DL-based weighted average (DLBWA) ensemble method.

Results
In experimental studies, the results were obtained from three-stage analyses: fold, average, and periodic performance analyses. In fold analyses, the proposed method, in terms of the root mean square error (RMSE) metric, demonstrated better performance in four folds on the Internet of Things (IoT)-based smart home (IBSH) dataset, two in the homestead city electricity consumption (HCEC) dataset, and two in the individual household power consumption (IHPC) dataset compared to the other methods. In the average performance analyses, it showed significantly higher performance than the other methods in all metrics for the IBSH and IHPC datasets, and in metrics except the mean absolute error (MAE) metric for the HCEC dataset. The performance results in terms of RMSE, MAE, mean square error (MSE), and mean absolute percentage error (MAPE) metrics from these analyses were obtained as 0.001531, 0.001010, 0.0000031, and 0.001573 for the IBSH dataset; 0.025208, 0.005889, 0.001884, and 0.000137 for the HCEC dataset; and 0.013640, 0.006572, 0.000356, and 0.000943 for the IHPC dataset, respectively. The results of the 120-h periodic analyses also showed that the proposed method yielded a better prediction result than the other methods. Furthermore, a comparison of the proposed method with similar studies in the literature revealed that it demonstrated competitive performance in relation to the methods employed in those studies.
Effect of water-based aerobic training on anthropometric, biochemical, cardiovascular, and explosive strength parameters in young overweight and obese women: a randomized controlled trial
Authors: Ben Cheikh Imen , Marzouki Hamza , Selmi Okba , Cherni Bilel , Bouray Siwar , Bouhlel Ezdine , Bouassida Anissa , Knechtle Beat , Chen Yung-Sheng 
Published: February 2025

Background
Obesity is a major health concern that raises the risk of chronic illnesses such as heart disease, diabetes, and metabolic disorders. Traditional workouts such as running or walking can be difficult for overweight individuals due to the heavy impact on joints, which causes discomfort and the possibility of injury. Water-based exercises offer a low-impact alternative that overweight people may find more tolerable. There is minimal research on the specific effects of structured water aerobic exercise on health markers in young overweight and obese women, despite the acknowledged benefits of physical activity for weight control and overall health. This study aimed to assess the effects of 10-week water-based aerobic training (thrice a week) on anthropometric, biochemical, cardiovascular parameters, and explosive strength in young overweight and obese women.

Methods
In a randomized controlled trial with a pre-to-post testing design, twenty-seven young overweight and obese women (age: 27 ± 1 years; body mass index (BMI) = 30.0 ± 3.1) were randomly assigned into experimental (EG: performing a water-based aerobic training, n = 16) or control (CG: maintaining their usual activities during the intervention, n = 11) groups. The pre- and post-intervention participants were assessed for their anthropometrics (body height, body weight, body mass index (BMI), body fat and circumferences), biochemical (fasting glycemia, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG)), cardiovascular parameters (resting blood pressure and resting heart rate (RHR)), and explosive strength of upper and lower limbs.

Results
EG showed reductions in body weight, BMI, %BF, fasting glycemia, and TG, along with improvements in HDL-C, LDL-C, RHR, and explosive strength (all p < 0.05; effect size (ES) = 0.180–1.512, trivial to large). In contrast, CG exhibited increases in body weight, BMI, fasting glycemia, LDL-C, and RHR (all p < 0.05; ES = 0.127–0.993, trivial to large), with no significant changes observed in other measured variables. EG showed superior post-test results in fasting glycemia (p < 0.0001; ES = 2.559, large), LDL-C (p < 0.0001; ES = 0.971, large), and explosive strength measures (0.003 ≤ p < 0.0001; ES = 1.145–1.311, large) compared to the CG.

Conclusions
Our findings indicate that water-based aerobic training could be a useful program to enhance anthropometric, biochemical, cardiovascular, and explosive strength parameters in young overweight and obese women compared to inactive persons.
Study on SARS-CoV-2 infection in middle-aged and elderly population infected with hepatitis virus: a cohort study in a rural area of northeast China
Authors: Pan Yuchen , Jia Zhifang , Yu Xinyi , Lv Haiyong , Zhang Yangyu , Wu Yanhua , Jiang Jing 
Published: February 2025

Background
To investigate the symptoms, the level of antibody, the progression of liver disease after SARS-CoV-2 infection in middle-aged and elderly population infected with hepatitis virus.

Methods
The study was based on a cohort of high-risk liver cancer and the participants was recruited in April 2023. Blood sample were collected and information was obtained through questionnaires. Data on reinfection was obtained by follow-up until July 31, 2023. The SARS-CoV-2-specific neutralizing antibody and IgG were measured.

Results
A total of 599 participants infected with hepatitis virus were included and the mean age was 61.3 ± 7.4 years. The SARS-CoV-2 infection rate was 94.7%. Among the infected, 132 were asymptomatic, 435 were symptomatic, no severe cases occurred. Four months after infection, no difference was in liver function and aMAP score between the infected and uninfected. The infected had higher seropositivity rates of both antibodies than the uninfected (neutralizing antibody: uninfected: 93.7%, infected: 99.6%; IgG: uninfected: 59.4%, infected: 98.9%). The levels of both antibodies in the symptomatic were higher than those the asymptomatic and the uninfected (neutralizing antibody: uninfected: 0.75 AU/mL, asymptomatic: 15.46 AU/mL, symptomatic: 24.76 AU/mL; IgG: uninfected: 15.10 AU/mL, asymptomatic: 263.84 AU/mL, symptomatic: 291.83 AU/mL). By July 31, 2023, the incidence of reinfection was 17.5%.

Conclusions
Although the infection rate of SARS-CoV-2 was high, no severe cases occurred. Omicron infection may not aggravate progression of hepatitis. Four months after infection, the population showed high positivity rate in neutralizing antibody and IgG. Monitoring of virus mutations and targeted prevention and care strategies is crucial for vulnerable populations.
Effects of Glycerol on β‐Lactamase Production during High Cell Density Cultivation of Recombinant Escherichia coli
Authors: Kwon Soonjo , Kim Sungsoo , Kim Eunki 
Published: July 2002

AbstractRecombinant Escherichia coli was cultured up to OD600 90 with glycerol fed by the DO‐STAT method to produce recombinant β‐lactamase. Optimum feeding and induction conditions were determined. When glycerol was maintained at a high concentration (40−50 g/L) after isopropyl thiogalactoside (IPTG) induction at OD600 75, a 2‐fold increase in the amount of soluble β‐lactamase was obtained. Similarly, a 3‐fold increase was obtained by the addition of NaCl (0.4 M) at low glycerol concentration (10 g/L).
Bulk Acoustic Wave Bacterial Growth Sensor Applied to Analysis of Antimicrobial Properties of Tea
Authors: Yao Shouzhuo , Tan Huwei , Zhang Hong , Su Xiaoli , Wei Wanzhi 
Published: July 2002

AbstractA bulk acoustic wave (BAW) bacterial growth sensor has been proposed for study of inhibitory effects of tea by continuous monitoring of disturbances in Proteus growth in the aqueous extracts of various teas, e.g. green tea, Fuzhuan brick tea, Oolong tea, Kudin tea, and black tea. The kinetic parameters, e.g. asymptote (A), maximum specific growth rate (μm), lag time (λ), and generation time (g), accurately estimated by using the growth response model, have been first used to characterize antimicrobial properties of tea. All of the parameters were changed via the inhibitory effects by tea. Green tea gives the weakest inhibitory action while others show stronger inhibitory actions. These inhibitory effects have also been examined by using the pour plate count technique. Both of the results show that, in addition to the antimicrobial properties of tea polyphenols and catechins, etc., the inhibitory effects may be attributed to the metabolites produced during the fermentation processing of these teas except green tea. The conventional disk diffusion test has been used to determine the minimum inhibitory concentration (MIC) against P. rettgeri. The MICs of green tea, Fuzhuan brick tea, Oolong tea, and black tea were found to be 1113, 818.0, 681.2, and 510.4 μg/mL, respectively. The BAW bacterial growth sensor has shown to have advantages over other techniques, including the disk diffusion test, photometry, and the impedance method.
Catalytic Upgrading of Fermentation‐Derived Organic Acids
Authors: Varadarajan Sriram , Miller Dennis J. 
Published: July 2002

AbstractThe production of organic acids in low‐cost, high‐efficiency fermentation processes makes available a new route to chemical production from biomass. Because of their multiple functional groups and high reactivity, organic acids can undergo a variety of reactions that are effectively catalyzed by inorganic heterogeneous or homogeneous catalysts. Lactic acid and succinic acid, in particular, are approaching large‐scale production via fermentation and show excellent promise as feedstocks for catalytic conversion routes such as hydrogenation, dehydration, or condensation. A number of catalytic conversion pathways of organic acids are potentially competitive with petroleum‐based routes in the current economic environment, particularly when integrated into existing biomass/crop processing schemes. This article reviews some of the key reaction pathways available using fermentation‐derived organic acids as feedstocks and presents recent results from the authors' lab on succinate hydrogenation to 1,4‐butanediol and tetrahydrofuran. By a judicious choice of support properties and reaction conditions, it is possible to achieve yields of either of these two products in excess of 80%.