bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of Adolescents’ Healthy Lifestyle Behavior in Kediri, East Java
Authors: K Hedo Dian Jayantari Putri , Katmini Katmini 
Published: September 2022

Background: Amidst the disruptive era that is full of changes and challenges during the COVID-19 pandemic, psychological strength is needed by adolescents to be able to focus on positivity and maintain optimal health functions. Adolescents are one of the high-risk groups in this world’s recent situation. Therefore, adolescents need to stay safe and healthy to survive their future, one of which is by doing healthy lifestyle behavior. In this context, resilience, self-compassion, and hope need to be considered by adolescents in order to successfully perform healthy lifestyle behavior. Objective: The research objective was to analyze the relationship between resilience, self-compassion, and hope with healthy lifestyle behavior in adolescents. Methods: This research was a descriptive-analytic study with a cross-sectional design. The population was adolescents in Kediri; East Java aged 15-19 years old. The sample was collected by cluster random sampling. The total sample of this research was 342 respondents. The independent variable was resilience, self-compassion, and hope. The dependent variable was healthy lifestyle behavior. Data were collected by offline questionnaires filled by the respondent and analyzed using regression. Results: Based on regression analysis, variables that simultaneously and significantly related to healthy lifestyle behavior were resilience, self-compassion, and hope (p<0.001). There was a significant relationship between each variable of resilience (p=0.001), self-compassion (p=0.002), and hope (p<0.001) with healthy lifestyle behavior. Conclusion: Resilience, self-compassion, and hope, both simultaneously and individually were predictors of healthy lifestyle behavior. According to the research result, adolescents need to raise awareness and practice their psychological strengths to maintain their healthy lifestyle behavior in daily life.
The Relationship Between Emotion Regulation and Aggressiveness in Grade VI Elementary School Students
Authors: Maskuri Nabila Kairina , Affandi Ghozali Rusyid 
Published: September 2022

This research was conducted because of the phenomenon of aggressiveness that emerged in SDN Kludan. The purpose of this study was to determine the relationship between emotional regulation and aggressiveness in grade VI SDN Kludan students. The hypothesis proposed is that there is a negative relationship between emotional regulation and aggressiveness in elementary students. The variables of this study were emotion regulation as the independent variable and aggressiveness as the dependent variable. The population in this study were 120 students. The sampling technique used is saturated sampling technique. Data analysis used the Pearson Product Moment Correlation statistical technique with the help of SPSS 16.0 for windows. The results of the analysis show a correlation coefficient of -0.763 with a significance value of - .001 <0.05. It is concluded that the hypothesis proposed in this study is accepted, that is, there is a negative relationship between emotional regulation and aggressiveness. meaning that the higher the emotional regulation, the lower the aggressiveness, and vice versa, the lower the emotional regulation, the higher the aggressiveness.
Keywords: Emotion Regulation; Aggressiveness; Elementary School Students; Class VI
Analysis of Students' Speaking Skill Using Scaffolding Strategy
Authors: Kinasih Ayu , Novita Dian 
Published: September 2022

Based on observation made by the researcher of the eleventh grade student at SMAN 1 Porong, it discovered that students often find out difficulties while learning English, especially in speaking. These problems are faced by several factors such as unconfidently, lack of courage and seldom practiced. The implementation of scaffolding strategy in EFL learning might be an ideal solution to solve students’ poor speaking skill. This research aims to analyse students’ speaking ability after achieving the scaffolding strategy treatment. Under the descriptive quantitative method, the data were collected through students’ speaking performance. The sample comprised XI IPS 3 which consists of 34 students. The data were taken by giving speaking test in which students were required to retell their past experience after the teacher implemented scaffolding strategy. Here, the test assessed using five aspects of spoken language including pronunciation, grammar, vocabulary, fluency, and comprehension. The result of the study shows that 94 % out of 34 students have good performance in speaking.
Determine Effectiveness of cotton Seed Cleaning and Sorting Machines
Authors: Isroilov Sardorbek Sandjarovich 
Published: September 2022

This scientific article presents a comprehensive exploration of seed cleaning techniques, emphasizing the incorporation of aerodynamic sorting and multi-factional sorting as means to achieve optimal seed purity and prevent seed damage while enhancing fiber yield for textile industry applications. The study outlines the goals, methods, results, and implications of scientific research conducted to improve seed cleaning technology. By employing advanced cleaning methods, complete elimination of impurities from ginnated seeds is made possible, thereby ensuring a productive and high-quality seed yield suitable for spinning in the textile industry. The findings and recommendations of this research offer valuable insights for global scientists and industry professionals seeking to enhance seed cleaning processes, maximize productivity, and meet the demands of the textile industry.
Highlights:

Improved Seed Quality: Incorporating aerodynamic sorting and multi-factional sorting techniques enhances seed cleaning, resulting in impurity-free seeds suitable for high-quality fiber production in the textile industry.
Preventing Seed Damage: Advanced seed cleaning technology minimizes the risk of seed damage during the cleaning process, ensuring optimal seed integrity and viability for improved germination and yield.
Increased Fiber Productivity: Efficient seed cleaning methods increase fiber yield, providing a sustainable source of high-quality fibers for the textile industry, thereby meeting the growing demand for textile materials.

Keywords: seed cleaning, aerodynamic sorting, multi-factional sorting, impurity-free seeds, fiber yield.
The Importance of Sport Games in Creating a Healthy Environment in the Family
Authors: Karimovich Rashidov Khurshid , Raufovich Urinov Sherali 
Published: September 2022

This study presents a comprehensive analysis of the pivotal role and significance of physical education in reducing family budget expenditures. The primary objectives were to identify important tasks within physical education and assess their impact on family finances. Using a sample of 100 families, a mixed-methods approach was employed to collect and analyze data. The results highlight the crucial need to prioritize physical education, with substantial findings demonstrating its positive influence on reducing family expenses. The implications of this research emphasize the potential for physical education to alleviate financial burdens and suggest a reevaluation of resource allocation in households worldwide. This study provides a compelling argument for policymakers, educators, and researchers to recognize and prioritize physical education as an effective strategy for managing family budgets.
Highlights:

Physical education's role in reducing family budget: This article analyzes the crucial role of physical education in reducing family budget expenditures and highlights its significance as a cost-saving measure.
Findings from 100 family cases: The study draws upon a sample of 100 families to substantiate the importance of physical education in managing family budgets, providing empirical evidence for its impact.
Implications for policy and practice: The research underscores the need to prioritize physical education, offering implications for policymakers, educators, and researchers to recognize its potential in alleviating financial burdens and informing resource allocation strategies.

Keywords: Physical education, family budget, cost reduction, importance, implications.
Specific Forms of Organizing Technology Classes
Authors: Murodjon Ganieva Munosibhon 
Published: September 2022

This article explores the significance of labor education in cultivating a constructive attitude towards work, acting as the cornerstone of schooling and extracurricular activities, thereby strengthening the vital connection between school and life. The study aims to investigate the primary educational objectives, methods, results, and implications associated with psychologically and practically preparing students for the workforce. The research findings underscore the importance of labor education in fostering a positive work ethic, enhancing students' preparedness for future employment, and facilitating their successful integration into the labor market. The implications of this study have far-reaching implications for educational institutions worldwide, offering valuable insights into optimizing curricula and extracurricular activities to effectively equip students with the necessary skills and attitudes for successful careers.
Highlights:

Labor education as a core component: This article emphasizes labor education as a fundamental aspect of schooling and extracurricular activities, highlighting its central role in shaping students' attitudes towards work.
Psychological preparation for work: The study underscores the significance of psychologically preparing students for the workforce, recognizing it as a crucial educational task of schools.
Implications for successful integration: The research findings have far-reaching implications, emphasizing the importance of labor education in facilitating students' successful integration into the labor market, equipping them with the necessary skills and attitudes for future careers.

Keywords: labor education, attitude to work, schooling, extracurricular activities, psychological preparation
Modern Concepts on Orientational Phenomena in Forming Products from Thermoplastic Materials
Authors: Sirgiyevich Rosilov Mansur , Komiljonovich Sultonov Oybek 
Published: September 2022

This study investigates the biaxial orientation of films, with a focus on deformation within the plane. By employing microscopy and diffraction analysis, the average degree of orientation in each direction was determined, revealing a consistently biaxially oriented structure. The surface layers exhibited the highest degrees of orientation. These findings have implications for understanding film mechanics and performance, aiding in the development of improved manufacturing processes and materials for various industrial applications.
Highlights:

The study investigates biaxial orientation in films, focusing on deformation within the plane.
Microscopy and diffraction analysis determine the average degree of orientation and reveal higher orientation in the surface layers.
Implications include improved understanding of film mechanics, aiding in the development of materials for diverse industrial applications.

Keywords: Biaxial orientation, Films, Deformation, Surface layers, Industrial applications.
Faktor-Faktor yang Berpengaruh terhadap Hasil Panen Teh Melalui Pendekatan Sistem Dinamis
Authors: Jevta Fransiscus Xaverius Mario , Thoriq Ahmad , Sita Kralawi , Sampurno Rizky Mulya 
Published: September 2022

<p>Pemetikan daun teh secara mekanis dengan gunting atau mesin pemetik selain dapat mengatasi kekurangan tenaga kerja, juga dapat meningkatkan produktivitas dan efisiensi sistem panen. Proses pemanenan teh dipengaruhi oleh alat pemetikan, kemiringan lahan, waktu pemetikan, luas areal petik, bobot hasil panen teh dan variabel lainnya yang bersifat dinamis. Peramalan hasil panen yang dipengaruhi oleh faktor-faktor tersebut dapat dilakukan melalui pendekatan model dinamis. Penelitian ini bertujuan untuk menentukan perbandingan antara hasil pemanenan teh dengan menggunakan gunting petik dan menggunakan mesin petik, menganalisis faktor-faktor yang menentukan hasil panen teh, dan menentukan skenario yang dapat diterapkan untuk meningkatkan produktivitas pemanenan teh. Data lapang dikumpulkan pada musim kemarau dari beberapa blok pada afdeling Gambung Selatan dan Gambung Utara. Data yang dikumpulkan untuk pengolahan data menjadi model dinamis sistem pemanenan teh adalah kemiringan lahan, waktu pemanenan, panjang lintasan pemetikan, lebar pemetikan, dan bobot hasil panen teh. Data yang telah dikumpulkan diolah menjadi sebuah model dinamis sistem pemanenan teh berupa diagram stock and flow menggunakan perangkat lunak komputer bernama Vensim dengan skenario perubahan alat petik, kemiringan, dan persentase mutu. Model dinamis yang dihasilkan akan menunjukkan besarnya produktivitas pemanenan teh berdasarkan waktu dan kondisi lahan sehingga dapat menentukan alat pemanenan mekanis yang tepat. Hasil penelitian menunjukkan perbandingan produktivitas rata-rata dengan mesin petik sebesar 47,829 kg/JOK yang lebih besar 3,4 kali dari gunting yang sebesar 14,007 kg/JOK. Faktor pengungkit untuk meningkatkan kinerja sistem pemanenan adalah jenis alat pemetikan sehingga skenario yang dapat diterapkan untuk meningkatkan produktivitas pemanenan teh adalah dengan penggunaan alat petik mesin.</p>
Efficacy of Probiotic Treatment as Post-Exposure Prophylaxis for COVID-19: A Double-Blind, Placebo Controlled Randomized Trial
Authors: Wischmeyer Paul E. , Tang Helen , Ren Yi , Bohannon Lauren , Ramirez Zeni E. , Andermann Tessa M. , Messina Julia A. , Sung Julia A. , Jensen David , Jung Sin-Ho , Artica Alexandra , Britt Anne , Bush Amy , Johnson Ernaya , Lew Meagan V. , Miller Hilary M. , Pamanes Claudia E. , Racioppi Alessandro , Zhao Aaron T. , Surana Neeraj K. , Sung Anthony D. 
Published: September 2022

Abstract
The COVID-19 pandemic continues to pose unprecedented challenges to worldwide health. While vaccines are effective, additional strategies to mitigate the spread/severity of COVID-19 are urgently needed. Emerging evidence suggests susceptibility to respiratory tract infections in healthy subjects can be reduced by probiotic interventions; therefore, probiotics may be a low-risk, easily implementable modality to reduce risk of COVID-19, particularly in areas with low vaccine availability/uptake. In this study, we conducted a randomized, double-blind, placebo-controlled trial across the United States testing probiotic Lactobacillus rhamnosus GG (LGG) as postexposure prophylaxis for COVID-19 in 182 participants who had household exposure to someone with confirmed COVID-19 diagnosed within ≤ 7 days. Participants were randomized to receive oral LGG or placebo for 28 days. The primary outcome was development of illness symptoms within 28 days of COVID-19 exposure. Stool was collected to evaluate microbiome changes. Intention-to-treat analysis showed LGG treatment led to a lower likelihood of developing illness symptoms versus placebo (26.4% vs. 42.9%, p = 0.02). Further, LGG was associated with a statistically significant reduction in COVID-19 diagnosis (log rank, p = 0.049) via time-to-event analysis. Overall incidence of COVID-19 diagnosis did not significantly differ between LGG and placebo groups (8.8% vs. 15.4%, p = 0.17). This data suggests LGG is associated with prolonged time to COVID-19 infection, reduced incidence of illness symptoms, and gut microbiome changes when used as prophylaxis ≤ 7 days post-COVID-19 exposure. This initial work may inform future COVID-19 prevention studies worldwide, particularly in underdeveloped nations where Lactobacillus probiotics have previously been utilized to reduce non-COVID infectious-morbidity. Trial registration: ClinicalTrials.gov, NCT04399252, Date: 22/05/2020 https://clinicaltrials.gov/ct2/show/NCT04399252
Scrutinizing the Existence of the Environmental Kuznets Curve in the Context of Foreign Direct Investment, Trade and Renewable Energy in Bangladesh: Impending from ARDL Method
Authors: Rahman Md. Hasanur , Voumik Liton Chandra , Rahman Md. Maznur , Majumder Shapan Chandra 
Published: September 2022

Abstract

In this study, annual time-series data from 1972 to 2021 is utilized to evaluate the existence of the environmental Kuznets curve (EKC) in Bangladesh. The study also takes into consideration a number of other characteristics, including openness to trade, renewable energy sources, and foreign direct investment (FDI). In this work, we have used the ARDL model to analyze the cointegration of the variables using the mixed orders or I(0) and I(1) of the variables. Zivot-Andrews demonstrate a single structural break across all variables. The ARDL bound test confirms the notion of long-term cointegration between the variables. The relationship between CO 2 emissions and economic performance is inverted U-shaped. Because of the presence of the EKC hypothesis, per capita carbon emissions (PCCE) raise until a certain level of per capita income is reached, at which point PCCE begin to fall. Although trade has a negative impact on the environment, the uses of renewable energy and foreign direct investment have a positive impact. The study concludes that the best way to reduce environmental degradation is to employ renewable energy. Economic expansion, FDI, and trade growth all result in CO2 emissions. Various economic and environmental policies are also identified in the investigation.
Phenotypic diversity observed in a Chinese patient cohort with biallelic variants in Bardet-Biedl syndrome genes
Authors: Zhong Junwei , Xie Yue , Ye Hanwen , Chen Chunjie , Sun Tengyang , XU KE , Zhang Xiaohui , Li yang 
Published: September 2022

AbstractPURPOSE. Bardet-Biedl syndrome (BBS) is a rare multisystem ciliopathy. The aim of this study was to describe the clinical and genetic features of a cohort of Chinese patients carrying biallelic BBS gene variants. METHODS. We recruited 34 patients from 31 unrelated pedigrees who carried biallelic pathogenic variants in BBS genes. All patients underwent ophthalmic and systematic evaluations, as well as comprehensive molecular genetic analyses. Ultimately, 14 patients were followed up over time. RESULTS. We identified 47 diseasing-causing variants in 10 BBS genes; 33 were novel. Diagnosis of BBS and non-syndromic retinitis pigmentosa (RP) were established in 28 patients from 27 pedigrees and 6 patients, respectively. The two most prevalent genes in patients with BBS wereBBS2andBBS4, accounting for 51.8% of the probands. The patients exhibited clinical heterogeneity, from patients with all six primary clinical components to patients suffering from non-syndromic RP. The common components were retinal dystrophy, polydactyly, and obesity, with frequencies of 78.6–100%, while renal anomaly frequencies were only 7.1%. Patients exhibited early and severe visual defects and retinal degeneration. Patients with biallelic missense variants inBBS2suffered fewer clinical symptoms and mild visual impairment. Patients withBBS10variants tended to have cone dystrophy. CONCLUSIONS. Our study defined the mutated gene profiles and established the configuration of the variation frequencies for each BBS gene in Chinese patients. Overall, our patients showed early and severe visual defects and retinal degeneration. Genetic analysis is therefore crucial for diagnosis, genetic counseling, and future gene therapy in these patients.
On Load Voltage Regulating Device of Long-distance Mine Low-voltage Power Supply System Based on Solid-state Voltage Regulator
Authors: Wang Yanwen , Yang Yang , Li Boyang , Zhu Gui 
Published: September 2022

Abstract
In order to solve the problem of voltage loss caused by long-distance power supply system, considering the solid state power boost (SSPB) of solid-state voltage regulator, this paper proposes an on load voltage regulating device for long-distance mine low-voltage power supply system based on solid-state voltage regulator, which aims to solve the problem of voltage loss and fluctuation caused by line voltage drop and coal mining equipment startup and shutdown. Firstly, the terminal voltage of the line is deduced through the mathematical model of the motor under different working conditions, and a terminal voltage prediction algorithm is proposed, which calculates the terminal voltage state according to the electrical parameters at the head side of the substation; Then, an on load voltage regulation technology based on solid-state voltage regulator is designed and implemented, which compensates by controlling the output voltage of the inverter in series into the first end of the line. When the motor is in rated operation and start-up and stop stages, the motor voltage operates within a reasonable range; Finally, the simulation model of on load voltage regulation technology is built by using MATLAB/SIMULINK software, and the feasibility of this technology is verified by different experimental settings.
Remote sensing image and multi-type image joint encryption based on NCCS
Authors: Wang Xingyuan , Liu Lulu 
Published: September 2022

Abstract
In this paper, an algorithm based on the novel Chebyshev chaotic system (NCCS) for remote sensing image encryption and joint encryption of remote sensing images, grayscale images and color images is proposed. In view of the large amount of remote sensing image data, this paper proposes NCCS, which effectively reduces the time complexity of the algorithm and produces a more uniform pseudo-random sequence with better performance. On this basis, the remote sensing image is encrypted, first put each band of the remote sensing image into different channels, to obtain a three-dimensional matrix, the use of 3-D spiral curve to read each side of the three-dimensional matrix one by one, the obtained one-dimensional sequence into the two-dimensional matrix, this method makes each channel produce a certain coupling at the same time also reduces the dimension of the matrix, effectively enhance the effect of chaos. The chaos map is used to scramble the one-dimensional sequences once, and then to scramble between these one-dimensional sequences, and the method of circular left shift is used to diffuse. Because this method is suitable for encryption of images with multiple channels, it can be used not only for remote sensing image encryption, but also for joint encryption of remote sensing, grayscale, and color images. Simulation results and performance analysis show that the proposed method has good safety. Compared to some existing encryption schemes, this method is more widely applicable.
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution
Authors: Tian Jian , Guan Feifei , Liu Hanqing , Liu Tuoyu , Yang Lixin , Liu Xiaoqing , Luo Huiying , Wu Ningfeng , Yao Bin , Huang Huoqing 
Published: September 2022

Abstract
High efficiency glycoside hydrolases (GH) are in high demand for numerous industrial applications. This study demonstrates the use of a deep neural network and molecular evolution (MECE) platform for predicting catalysis-enhancing mutations in GHs. The MECE platform integrates a deep learning model (DeepGH), trained with 119 GH family protein sequences from the CAZy database. Ten-fold cross-validated DeepGH models showed 96.73% predictive accuracy. MECE also includes a quantitative mutation design component that uses Grad-CAM with homologous protein sequences to identify key features for mutation in the target GH. Validation of the MECE platform with chitosanase CHIS1754 and glucoamylase GA51, resulted in generation of CHIS1754-MUT7, harboring seven amino acid conversions, and GA51-MUT5, carrying five residue conversions. The kcat/Km of CHIS1754-MUT7 was 18.08-fold higher than CHIS1754, while GA51-MUT5 was 7.64-fold greater than that of GA51. This resource can facilitate the rational design of catalytically efficient enzymes for a broad range of applications.