bluuebunny/crossref_metadata_2025_split huggingface dataset:
PHYSICAL EDUCATION OF SECONDARY SCHOOL STUDENTS USING ULTIMATE FRISBEE
Authors: Rymar Olha , Sorokolit Nataliia , Romanchuk Olha , Yaroshyk Marta , Solovey Alla , Khanikiants Olena , Malanchuk Halyna , Shevtsiv Uliana 
Published: May 2024

The article theoretically substantiates, develops, experimentally verifies the effectiveness of Ultimate Frisbee authors’ training program for secondary school students to improve fitness level. There was positive dynamics in fitness level in the experimental group. The research aim is to determine the effectiveness of Ultimate Frisbee equipment use in physical education of secondary school students. The fitness level has been determined and the effectiveness of the Ultimate Frisbee program in physical education of secondary school students was verified. 45 schoolchildren were engaged into the study. Research methods: literary sources analysis; methods of obtaining empirical data (determining fitness level by T. Krutsevich methods); pedagogical experiment; mathematical statistics methods. The program to introduce Ultimate Frisbee into the physical education lessons for secondary school students has been presented and scientifically substantiated. The content of the program included studying the history of the game, the basics of game technique and tactics, how to play Ultimate Frisbee, refereeing rules; development of competitive activity skills; increasing fitness level. The developed program has been implemented into the educational process and its effectiveness has been proven. The results of the study showed the positive effect on secondary school students fitness level, which was confirmed by the mathematical statistics methods.
THE IMPORTANCE OF TEACHERS` LEADERSHIP SKILLS DEVELOPMENT FOR SUCCESSFUL ORGANIZATIONAL CULTURE IN EDUCATIONAL INSTITUTION
Authors: Pakalniņa Rasa , Ročāne Maija 
Published: May 2024

Discussions of the quality and effectiveness in education have become topical today. There are different challenges faced by teachers and school leaders at the primary, lower secondary, secondary and upper secondary levels. Therefore, it must be recognised that leadership skills are becoming important for the successful organisation of learning at all stages of education. The relevance of leadership skills is accentuated by the rapidly changing environment of change that also characterises the field of education. In the 21st century, leadership can be associated as a pedagogical and a managerial skill. Leadership skills and openness to change contribute to the growth of an educational institution, and this growth is at the heart of a successful organisational culture. It fosters a genuine concern for the growth of every employee, as well as an institution-driven vision, coherence, ownership, mentoring, accountability and support. These are employees with developed leadership skills who change and transform the system, because no organisation can exist without change. The aim of this publication is to describe and evaluate the impact of leadership skills and openness to change on the development of a successful organizational culture in the educational institution, and to highlight the need for the development of teachers` leadership skills.
Study Of Fuzzy Groups In Z_p-{0 ̅ } Group
Authors: Batunna Imelda Bo’bo’ , Monim Harina O.L , Sesa Junianto 
Published: May 2024

Group theory is a field of abstract algebra that studies the structure of sets. Some concepts that are developments of group theory are fuzzy subgroups. Suppose that G is a group, a fuzzy subset μ of G is called a fuzzy subgroup of G if it satisfies and for each . However, not all groups have fuzzy subgroups. The aim of this research is to show that is a classical group with multiplication operations in the group and determine fuzzy subgroups in the group . From the research results, it is found that the subset with prime modulo integers and is a classical group with group multiplication operations and the fuzzy subset in the group is a fuzzy subgroup and in general The properties of the classical group apply to the fuzzy subgroup, namely the singularity of the identity and the singularity of the inverse. However, there are properties of classical groups that do not apply to fuzzy subgroups, namely the law of cancellation
Analysis of Academic Hardiness Factors Affecting Student Emotional Exhaustion in Malang Using Logit and Probit Models
Authors: Nuradilla Siti 
Published: May 2024

The prevalence of emotional exhaustion as an indication of academic burnout among students during online learning is very high. Responding to the issues and neglect of studies on academic burnout, it is necessary to analyze the factors of academic hardiness among students in Malang City regarding emotional exhaustion. The ordinal probit regression model yields the best fit with 120 samples in analyzing the factors of academic hardiness on emotional exhaustion due to its smaller AIC value. Significant factors affecting emotional exhaustion are commitment to academic tasks (), control over struggle (), and control individual difficulties (). The ordinal probit regression model obtained is and . The marginal effect states that for every one-unit change in the ratio will increase students low emotional exhaustion by 0.016, and decrease students moderate emotional exhaustion by 0.044, and high emotional exhaustion by 0.060. Every one-unit change in the ratio will decrease students low emotional exhaustion by 0.018, and increase students moderate emotional exhaustion by 0.049, and high emotional exhaustion by 0.067. Every one-unit change in the ratio will increase students low emotional exhaustion by 0.025, and decrease students moderate emotional exhaustion by 0.070, and high emotional exhaustion by 0.095.
Spatial Weighting Selection in GSTAR and S-GSTAR Models for Temperature Prediction
Authors: Utami Riani , Mukhaiyar Utriweni , Mardiyah Nabila , Sa’adah Yalela , Widyawati Erni 
Published: May 2024

Recent research in time series analysis indicates that events at a particular location are not only influenced by events at previous times but also by proximity between locations. Events influenced by both space and time can be modeled using a space-time model. GSTAR model is one such space-time model. In its development, time series data exhibiting seasonal patterns are modeled using Seasonal GSTAR (S-GSTAR). The GSTAR and S-GSTAR models are used to model temperature in the Banjar, Cilacap, and Sleman Districts. The purpose of employing both methods is to compare the best model for modeling temperature at these three locations. Spatial weights used include inverse distance weighting using the Euclidean distance formula, uniform weighting, and cross-correlation normalization weighting. Ordinary Least Squares (OLS) is the estimation method used in this study. The best model obtained is S-GSTAR with inverse distance weighting, as this model has the smallest RMSE value.
Pengembangan Media Pembelajaran Berbasis Video Edukatif pada Materi Bahan Finishing Desain Interior di SMKN 2 Garut
Authors: Hakim Hilwa , Maknun Johar , Minggra Restu 
Published: May 2024

This research aims to develop educational media-based educational videos (learning videos and educational games) on the APLPIG class XI concentration of DPIB expertise in SMKN 2 Garut. This type of research is D&D (design and development) with the ADDIE development model. Product validation measurements are carried out by media validators and material experts. Then the learning media product was tested on the students of class XI with a concentration of DPIB expertise in SMKN 2 Garut. The media created is called BFDI Educational Video Learning Media (Bahan Finishing Desain Interior). The results of the study showed that: (1) the level of media validity based on the validation of media experts and material experts both belonged to highly qualified categories; (2) the response of learners to media based on elevated response results of students included in highly qualifying categories. It can be concluded that the use of educational video-based learning media is highly worthy of being used in the learning of students in the 11th grade DPIB at SMKN 2 Garut.

Abstrak
Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis video edukatif (video pembelajaran dan permainan edukatif) pada mata pembelajaran APLPIG kelas XI konsentrasi keahlian DPIB di SMKN 2 Garut. Jenis penelitian ini adalah D&D (design and development) dengan model pengembangan ADDIE Pengukuran validasi produk dilakukan oleh validator ahli media dan ahli materi. Kemudian produk media pembelajaran diuji cobakan kepada peserta didik kelas XI konsentrasi keahlian DPIB di SMKN 2 Garut. Media yang dibuat ini dinamakan Media pembelajaran video edukatif BFDI (Bahan Finishing Desain Interior). Hasil penelitian menunjukkan bahwa: (1) tingkat validitas media berdasarkan validasi ahli media dan ahli material keduanya termasuk kategori yang sangat layak; (2) tanggapan peserta didik terhadap media berdasarkan hasil angket respon peserta didik termasuk dalam kategori sangat layak. Seingga dapat disimpulkan bahwa penggunaan media pembelajaran berbasis video edukatif sangat layak digunakan dalam pembelajaran peserta didik kelas XI DPIB di SMKN 2 Garut.
Pengaruh Media Pembelajaran 3 Dimensi Diorama Terhadap Hasil Belajar Siswa Kelas 3 Materi Perubahan Cuaca SDN Ranuklindungan II Kabupaten Pasuruan
Authors: Lestari Tria Puji , Sriwijayanti Ribut Prastiwi , Hattarina Shofia 
Published: May 2024

This research is caused by the large number of teachers who still rely on oral communication learning methods between teachers and students who only focus on book material. The aim of this research is to determine the effect of 3-dimensional diorama learning media on the learning outcomes of grade 3 students. This research uses quantitative research methods. For this type of research, it is pre-experimental, with the design used being One Group Pretest-Posttest Design. The subjects used in this research were grade 3 students at SDN Ranuklindungan II, Pasuruan Regency. The instrument used in this research is the test. The results of the research carried out obtained the results of the hypothesis which was tested using the t statistical test (t test) in both groups, with the result t count 17.077 while the t table value with degrees of freedom (df) 29 at a significance level of 0.05 is 1.6991. In this context, t_count > t_table (17.077 1.6991) which means the alternative hypothesis (H) in this study is acceptable. This is proven by the average value of the posttest learning results (86.23) which is higher than the pretest results (53.30), so that the results of hypothesis testing with SPSS 25 for Windows have proven that there is a significant influence between 3-dimensional diorama learning media on Class 3 students learning outcomes on weather changes at SDN Ranuklindungan II, Pasuruan Regency.

Abstrak
Penelitian ini dipicu oleh banyaknya guru yang masih mengandalkan metode pembelajaran komunikasi lisan antara guru dengan anak didik yang hanya memusatkan perhatian pada materi buku saja. Tujuan penelitian ini adalah mengetahui pengaruh media pembelajaran 3 dimensi diorama terhadap hasil belajar siswa kelas 3. Penelitian ini menggunakan metode penelitian kuantitatif. Untuk jenis penelitiannya pre-eksperimen dengan desain yang digunakan adalah One Grup Pretest-Posttest Design. Subjek yang digunakan pada penelitian ini adalah siswa kelas 3 SDN Ranuklindungan II Kabupaten Pasuruan. Instrumen yang digunakan pada penelitian ini yaitu tesHasil penelitian yang dilakukan memperoleh hasil hipotesis yang diuji menggunakan uji statistik t (uji t) pada kedua kelompok, dengan hasil 17,077 sedangkan nilai dengan derajat kebebasan (df) 29 pada tingkat signifikansi 0.05 adalah 1.6991. Dalam konteks ini, (17.077 lebih dari 1.6991) yang berarti hipotesis alternatif dalam penelitian ini dapat diterima. Hal ini dibuktikan dengan nilai rata-rata hasil belajar posttest (86.23) yang lebih tinggi daripada hasil pretest (53.30), sehingga hasil pengujian hipotesis dengan SPSS 25 for windows telah membuktikan terdapat pengaruh yang signifikan antara media pembelajaran 3 dimensi diorama terhadap hasil belajar siswa kelas 3 materi perubahan cuaca di SDN Ranuklindungan II Kabupaten Pasuruan.
Serum and Synovial Markers in the Diagnosis of Periprosthetic Joint Infection of the Hip, Knee, and Shoulder: An Algorithmic Approach
Authors: Tarabichi Saad , Goh Graham S. , Fraval Andrew , Lizcano Juan D. , Abe Elizabeth A. , Courtney P. Maxwell , Namdari Surena , Parvizi Javad 
Published: May 2024

➤ No single test has demonstrated absolute accuracy for the diagnosis of periprosthetic joint infection (PJI).➤ Physicians rely on a combination of serological tests, synovial markers, and clinical findings plus clinical judgment to help to guide preoperative decision-making.➤ Several organizations have proposed criteria for the diagnosis of hip or knee PJI on which we now rely.➤ Given that shoulder arthroplasty has only recently become popular, it is possible that a shoulder-specific definition of PJI will be introduced in the coming years.➤ Although a number of serum and synovial markers have demonstrated high accuracy for the diagnosis of PJI of the hip and knee, further research is needed in order to identify markers that may be more suitable for the diagnosis of shoulder PJI and for the potential development and identification of specific serological tests as screening tools for PJI.
A Novel Dual Feature Extraction using Fine-Tuned ResNet with GWO and Deep Dense Neural Network for Multiple Lung Disease Classification
Authors: Kauhsik Baijnath , khan yusera farooq , Rahmani Mohammad Khalid Imam , Chadha Akshma , Ashok Malvika , Upadhyay Laxmi , Rehman Masood ur , Mahajan Abigya , Pant Pushpesh Gokul 
Published: May 2024

Abstract

Lung diseases are one of the primary causes of mortality worldwide. The majority of lung disorders are not discovered until they have progressed significantly. Computer Aided Diagnosis (CADx) systems allow for immediate and earlier diagnosis and are being expanded. This study investigates the feasibility of employing methods for learning features from fine-tuned adaptive learning rate Deep Learning (DL) architectures to provide robust and comprehensive features on the NIH Chest X-ray Dataset for three classes (Cardiomegaly, Emphysema, and Hernia) lung disease. A novel dual feature extraction using residual networks with a nature-inspired Gray Wolf Optimization (GWO) algorithm and Deep Dense Neural Network (ResNet-GWO-DD) is proposed in this study. Dual feature extraction is experimented with using two fine-tuned ResNet-50 and ResNet-101 Transfer Learning (TL) architectures. The global best optimal extracted features were optimized using GWO and are further combined for classification using a Deep Dense Neural Network. The dual learning of deep features using ResNet-50 and ResNet-101 helps the GWO to learn the global best optimal features. These dual learning capabilities greatly enhance the performance of the proposed model and achieve significant accuracy while comparing the state-of-the-art methods. The performance of the proposed method is further evaluated using three different optimizers such as Adam, Stochastic Gradient Descent (SGD), and Continuous Coin Betting (COCOB). Deep features extracted using GWO and optimizer Adam have yielded maximum accuracy of 99.68%, 96.63%, and 96.58% for Hernia, Emphysema, and Cardiomegaly respectively compared to SGD and COCOB.
WITHDRAWN: Decline in ocean net primary production coincident with the 2023 heat wave
Authors: Bowles Marshall , Joye Samantha , Schulz Michael , Zabel Matthias , Hinrichs Kai-Uwe 
Published: May 2024

Abstract

The full text of this preprint has been withdrawn by the authors since they no longer stand by the findings/conclusions of this work. During the review process it was brought to their attention that the satellite used to generate critical data in the manuscript was no longer calibrated (Kevin Twedt et al. "Impact of satellite orbit drift on MODIS Earth scene observations used in calibration of the reflective solar bands", Proc. SPIE 12685, Earth Observing Systems XXVIII, 126850O (4 October 2023); https://doi.org/10.1117/12.2676873)."); these problematic issues were not flagged on the data repositories from which they retrieved their data. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Poly(ethylene glycol) Patterned Surfaces Functionalized with Gallic Acid@Au Nanoparticles: Investigation of Antibacterial Activity for Biomedical Applications
Authors: Karaagac Zehra 
Published: May 2024

Abstract

Polymer patterns are promising for many applications due to their high stability and superior chemical and physical properties. By functionalizing various surfaces with polymer patterns, it is possible to detect and prevent many common infections. In the study, a polymer pattern model obtained by combining gallic acid with gold nanoparticles (GA@AuNP) synthesized through green chemistry was designed. Polymer patterned structures were obtained on silicon wafers using Poly(ethylene glycol) (PEG) polymer and were self-assembled with GA@AuNPs. Diagnosis and inhibition of bacterial cells in a short time was demonstrated with the prepared modified PEG polymer pattern. Surface-enhanced Raman scattering effects were used to optimize the stability of surfaces patterned with self-assembled GA@Au NPs. By modification of PEG polymer patterns, a biomarker design that can be used in many different bioapplications is proposed.
Unified univariate extreme risk modeling through sub-sampling block maxima
Authors: Cheng Tuoyuan , Chen Kan 
Published: May 2024

Abstract

In this paper, we introduce a sub-sampling block maxima approach for constructing and characterizing univariate extreme risk measures.We investigate relationships between block size and block maxima statistics originating from both Gaussian and \gls{gpd}s. We characterize the scaling inherent in extreme risks through the analysis of the \gls{mpmr} and the \gls{evi}. We introduce the \gls{wlse} for \gls{evi}, employ the second moment for plateau finding in \gls{evi} and \gls{ei} estimation, and present the effect of \gls{ei} on the \gls{kld}.The applicability of this approach is demonstrated across a variety of real-world datasets, including meteorite landing mass, earthquake energy release, solar activity, and variations in Greenland's land snow cover and sea ice extent.Our method offers a practical and unified univariate extreme risk measure, capable of capturing a spectrum of extreme risks and accounting for temporal dependence. The approach stands out for its flexibility, sample efficiency, and limited reliance on subjective hyper-parameter tuning, making it a valuable tool in extreme risk modeling.
MSC Classification: 62P12
Towards a sustainable waste to eco-friendly grease pathway: A biorefinery proposal for the silk and food industries
Authors: Coroliano Romulo Dutra , Couto Gabriel O. , Péres Eduardo Ulisses , Saraiva Jefferson , Suarez Paulo Anselmo Ziani , GHESTI GRACE 
Published: May 2024

Abstract

The concerning related to climate change, sustainability and residue destination, as evidenced by the United Nation’s Sustainability Development Goals, fosters among others the biorefinery application development. Amidst such circular economy possibilities is the implementation of residual oil biorefineries, imbuing higher value into residues and resulting in eco-friendly products. One of the most abundant residual oils, with very low reusage ratio, is the waste cooking oil, a food industry residue. While other residual oil can be extracted from lipid rich silkworm pupae, a residue from the silk processing industry. Thereby, in this work we propose a biorefinery for the usage and modification of waste cooking oil and silkworm pupae oil into eco-friendly greases based on circular economy concepts. The silkworm pupae oil was modified through epoxidation and hydrolysis, yielding a dense polyol which was used in grease compositions without further modifications (common for this sort of materials). The prepared compositions were elaborated using partial saponification (simplifying the process), under two distinct methodologies, with LiOH and NaOH. The prepared greases were also compared against simple soybean oil and ricin oil greases to identify the polyol addition effect and the frying oil reusage effect. All the greases prepared using methodology B were stiffer with overall higher values for yield point (15.7-56.9 Pa) and flow point (259.2-810.95 Pa), while the thixotropic hysteresis area fluctuated with greater time dependency for polyol containing compositions (1.85-9.16 104 Pa s-1). The ion change from lithium to sodium using methodology A on polyol compositions resulted in diminished flow points (from 457.35 to 70.31 Pa). The same change on waste cooking oil, on methodology A, resulted in increased values of flow point (from 32.06 to 96.90 Pa). The addition of polyol effect resulted in flow point increase (from 259.2 to 810.95 Pa), while the frying oil reusage effect resulted in increased yield (from 1.19 to 2.02 Pa) and flow points (from 38.44 to 96.90 Pa). The obtained results are on par with other eco-friendly grease examples and therefore corroborate the proposed value enhancing of our tested residual oils. The main perspective for this biorefinery proposal is the usage of the two residual oils together into a blend composition, chaining the silk and the food industries and thereby resulting in a single biorefinery applicable to any machinery dependent industry.
Aqueous extract of Enantia chlorantha Oliv. demonstrates antimalarial activity and improves redox imbalance and biochemical alterations in mice
Authors: Evbuomwan Ikponmwosa Owen , Adeyemi Oluyomi Stephen , Oluba Olarewaju Michael 
Published: May 2024

Abstract

Background: Malaria is an infectious oxidative disease, which has continued to cause inconceivable loss of lives every year, almost unabatedly. Currently, it has become more difficult to treat the disease due the emergence and spread of resistance to recommended antimalarial drugs including ACTs, necessitating an urgent search for antimalarial compounds with unique modes of action. Here, we investigated the antimalarial activity, antioxidant and antiinflammatory capacity of Enantia chlorantha aqueous stem bark extract (EcASBE) in vivo.
Methods: The extract was screened for selected phytoconstituents including alkaloids and flavonoids. We evaluated the antimalarial activity of EcASBE against Plasmodium berghei NK65 infection in mice, using curative, prophylactic, and suppressive antimalarial test models, respectively. In addition, the antioxidant and antiinflammatory activities of the extract were assessed.
Results: The EcASBE significantly (p < 0.05) inhibited parasitaemia dose-dependently, with the highest inhibition (80.4%) and prolonged survival (MST=20) observed in the curative test. Our findings reveal significant (p < 0.05) improvement of serum ALT, AST, ALP, GGT, and levels of TNF-α, creatinine and urea following extract administration. Furthermore, the extract led to a significant (p < 0.05) rise in the levels of CAT, SOD, GPx, and GSH, with a concomitant reduction in NO and MDA levels.
Conclusion: The antimalarial, antioxidative, antiperoxidative, and inflammatory-inhibiting properties of the plant in infected mice demonstrate its great value for therapeutic intervention, and substantiate its use in traditional medicine for malaria treatment. Hence, further investigation to identify the repertoire of the active antimalarial components is warranted.