bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental study of a temperature measurement system for an overhead power line using sensors based on TFBG
Authors: Kalizhanova Aliya , Kunelbayev Murat , Wojcik Waldemar , Kozbakova Ainur
Published: January 2024

This article presents the use of an inclined fiber sensor Bragg grid to control the extension of wires in overhead lines. An aspect of the technological novelty of the project is the development of an innovative optoelectronic system for monitoring and diagnosing the condition of building structures based on a combination of conventional Bragg gratings. The lighting power sensor is installed directly on the controlled transmission of the power line in the form of fittings with a copper plate. A photosensitive multimode optical fiber is attached to the copper plate, at the end of which an inclined fiber Bragg grating is fixed, connected to a multimode optical fiber using a fiber-optic connector through an optical connector. An ultraviolet excimer laser and a light power detector are connected to a fiber-optic connector. The study showed that by selecting the appropriate mechanical parameters of the extension transformer, taking into account the optical parameters of the sensor, and using a special filter, the optical-mechanical system can be configured in the required range to control the sagging of the overhead line wire. During measurements to simulate the operation of a power line wire, the temperature was forced to vary in the range of 10-60°C. This led to the lengthening of the test wire from 38.987 m to 49.275 m; the error was within 4%. The deflection range depends on the distance between the supports, the type of wire, and its actual length in the span, which actually determines the deflection.
Research on Integrated Layer Determination and Fault Crossing Technology of Multi-branch Horizontal Wells for Surface Area Management
Authors: Song Shaopeng
Published: January 2024

Based on the application of multi-branch horizontal well technology in surface area management, combined with the hydrogeological structure of the coal bed floor, the method of determining the layer by azimuthal gamma, rock chip logging and drilling parameters is proposed. Combined with the change of azimuthal gamma, determine whether drilling encounters faults or not, put forward the technology of crossing faults when drilling encounters different types of faults, improve the rate of drilling smooth layer, reduce the leakage of drilling fluids, and form a set of key technologies of comprehensive stratigraphy judgment and crossing faults applicable to the grouting of multi-branch horizontal wells at the surface, based on the existing engineering examples, analyze the stratigraphy, tectonic conditions, and the application of comprehensive stratigraphy judgment and crossing faults technology in the case of directional drilling. The average smooth layer rate of Z1 and Z2 hole group is 96.96% and 99.2% respectively, which effectively ensures the quality of grouting in the fault structure area and is of great significance to the prevention and control of water damage in the mine.
How to Effectively Improve the Operational Efficiency and Service Quality of Shared Bicycles in Mega-Cities - Taking Beijing's Commuters as An Example
Authors: Hu Hongchang
Published: January 2024

After more than 30 years of rapid development through reform and opening up, China has witnessed the emergence of a group of mega metropolises, which have brought unprecedented population concentration and economic prosperity. Naturally, they have become the leading cities in our country. Of course, this development process also comes with a series of issues. This article focuses on discussing the issue of shared bicycles in the context of transportation development history, exploring how to better develop shared bicycles and effectively improve their operational efficiency and service quality in these mega cities. This can better promote and coordinate urban transportation development.
Efficient Genome Assembly Studies Using Overlap and Hamiltonian Graphs
Authors: Adebayo Femi Samuel  , Zhang Diping
Published: January 2024

These DNA sequencing is the intricate process of deciphering the specific arrangement of nitrogenous bases, also known as nucleotides, within a DNA molecule. Each organism possesses a unique nucleotide sequence that dictates its genetic blueprint, or genome, influencing both physical traits (phenotypes) and hereditary characteristics (genotypes) at the cellular level. In the realm of mathematics, graph theory delves into the study of mathematical constructs called graphs, composed of vertices (nodes) interconnected by either directed or undirected edges. Determining the precise order in which these nucleotides are linked empowers scientists and researchers to compare DNA across organisms, shedding light on their evolutionary relationships. This research delves into the pivotal role of graph theory in genome sequencing, exploring the diverse types of graphs utilized in this process. We propose innovative methods for employing graph theory in DNA sequencing and investigate the application of graphs such as overlap graphs and Hamiltonian graphs in genome sequencing, along with their associated advantages and limitations.
Development and Evaluation of Intelligent Medical Decision Support Systems
Authors: Wan Weixiang , Xu Jingyu , Zeng Qiang , Pan Linying , Sun Wenjian
Published: January 2024

This paper investigates the development and evaluation of intelligent medical decision support systems. Firstly, the current status of such systems is introduced, including technological advancements, clinical applications, and challenges faced. Subsequently, the overall framework design, key module design and implementation, system integration, and debugging are elaborated in detail. Finally, using the publicly available MIMIC medical dataset, a comprehensive evaluation and analysis of the system are conducted in a high-performance environment. The results indicate that the optimized system can achieve high accuracy and AUC. However, there is a slight decrease in effectiveness when dealing with rare diseases, and occasional false positives in certain high-risk situations. Overall, the research confirms the promising application prospects of such systems and provides a framework and path for future development.
Optimized Design of C8051F040 SOC Based Automotive Engine Tester
Authors: Su Yalatu
Published: January 2024

Automotive engine tester is an important instrumentation for performance testing and fault diagnosis of automotive engines. How to make real-time effective and fast engine testing has become a key technology for automotive engine testing. This paper further optimizes the C8051F040 SOC's automotive engine tester based on the use of a cost-effective C8051F040 system-on-chip as the core, supplemented by relevant sensor sets and other functional components, to achieve the design requirements of a low-cost, high-performance instrument. The overall performance of the system is superior and versatile through prototype testing.
Baseball Action Classification Based on OpenPose
Authors: Liang Zhanhao , Batyrkanov Jenish Isakunovich
Published: January 2024

This research presents an innovative approach to sports analytics through the application of Convolutional Neural Networks (CNNs) and OpenPose, a real-time pose estimation technology, for the classification of baseball actions. Focused on the accurate categorization of key baseball movements—Pitching, Batting, Fielding, Throwing, Base Running, Defensive Positioning, and Catching—the study developed a CNN model tailored to analyze skeletal data derived from OpenPose. This model was trained and tested on a diverse dataset collected from various baseball games and training sessions, ensuring a comprehensive and realistic evaluation. Impressively, the model achieved a 90% accuracy rate in classifying the aforementioned baseball actions, as validated by a detailed confusion matrix analysis. This high level of precision demonstrates the significant potential of combining advanced pose estimation with machine learning in sports. The results not only offer new insights into athlete performance enhancement and injury prevention but also mark a substantial advancement in the application of technological tools in sports analytics. This research provides valuable implications for coaches, athletes, and sports scientists, highlighting a novel avenue for enhanced athletic analysis and training.
A Review of The Application of VTD Simulation Software in Intelligent Driving
Authors: Chen Ke
Published: January 2024

This paper mainly introduces the importance of the driving simulation system, establishes a simulation platform, explains the main operation of VTD simulation software, and uses specific cases to carry out practical operation. Secondly, the application of VTD simulation software in intelligent driving assistance system is summarized, and how to perform co-simulation with other software is the difficulty in the use of VTD simulation software. Finally, the application scenarios of VTD are analyzed, and the development prospect of VTD in intelligent assisted decision-making is prospected.
The Impact and Regulatory Mechanisms of Nitrogen Fertilizer on Soil Carbon Cycling
Authors: Nan Kaewu
Published: January 2024

Modern agriculture must increase production to meet the growing global demand for food. However, excessive use of nitrogen fertilizer has led to a series of environmental issues. The impact of nitrogen fertilizer on soil carbon cycling is of particular concern, as agriculture is a major global carbon reservoir, and soil carbon cycling is crucial for maintaining ecosystem functionality. Previous research indicates that nitrogen fertilizer not only affects soil carbon storage but also alters the structure and function of soil microbial communities, thereby influencing carbon decomposition rates. Nevertheless, the specific mechanisms underlying the effects of nitrogen fertilizer on soil carbon cycling remain elusive. This study aims to comprehensively and systematically analyze the impact of nitrogen fertilizer on soil carbon cycling and elucidate its regulatory mechanisms. Nitrogen fertilizer exerts complex effects on soil, potentially promoting organic carbon accumulation, yet under certain conditions, it may also lead to carbon losses, closely intertwined with its impact on soil microbial communities. Regional and seasonal variations in the response to nitrogen fertilizer highlight the intricate dynamics of soil carbon storage, emphasizing the need for a thorough spatiotemporal investigation. Nitrogen fertilizer also influences soil microbial diversity, resulting in the excessive enrichment of certain microbial populations, disrupting the balance of microbial diversity in the soil. Moderate use of nitrogen fertilizer stimulates soil microbial metabolic activity, whereas excessive use may lead to a decline in metabolic activity. The regulation of soil carbon decomposition rates involves soil enzyme activity and organic matter decomposition pathways, with moderate nitrogen fertilizer application promoting soil carbon cycling, while high concentrations may impede carbon decomposition pathways. In conclusion, nitrogen fertilizer management should be guided by scientific principles to avoid excessive use. Establishing a systematic monitoring system that considers soil nutrients, microbial communities, and other factors is essential for achieving sustainable nitrogen fertilizer use. This approach aims to promote sustainable agriculture, reduce the burden on ecosystems, and enhance soil health and carbon storage.
Structural Design and Analysis of Battery Cell Winding Machine
Authors: Wu Weiguo , Wang Guangbin , Wang Xiaohui , Pang Tuchao , Qiu Junnan , Guo Tanchang
Published: January 2024

This article aims to address the issues currently faced by domestic battery cell winding machines, including small size, low production efficiency, poor winding accuracy, and low product yield. To overcome these challenges, we have taken a step further by optimizing the key structure and automatic control system of a small semi-automatic battery cell winding machine. As a result, we have successfully developed a fully automatic battery cell winding equipment capable of producing large-sized battery cells.By constructing a comprehensive machine experimental platform and conducting thorough experimental verification of battery winding, we have achieved full automation of the battery cell winding process. This significant progress has led to improvements in efficiency, accuracy, and product yield. Consequently, our study offers a practical solution for the optimization design of battery cell winding machines.
Analysis of Early Warning Information of Impact Mineral Pressure By Microseismic Monitoring of Cutting Top and Unloading Pressure Along The Air-retained Roadway
Authors: Yang Guoqing
Published: January 2024

Taking the return air lane of 8201 working face of a mine as the research object, statistically analyze the microseismic monitoring and the change of mine pressure data before the occurrence of the impact mine pressure accident in the process of mining back. Summarize the cut top pressure along the empty stay in the case, microseismic monitoring impact pressure early warning information law, as a similar condition of the mine under the impact pressure prevention and control basis. The corresponding prevention and control measures have been proposed and implemented, and good control effects have been achieved. These measures effectively guarantee the safe production of coal seam mining.
Design of Riser System Based on Target Oilfield and Platform
Authors: Wang Chuan , He Hai , Peng You
Published: January 2024

Abstract: Risers are an important component in the development of offshore oil and gas resources, but they are also one of the weakest components. Therefore, the safety of the design of deep-water riser systems plays a crucial role in the development of offshore oil and gas resources. This article focuses on the selection and initial design of riser systems based on the target oilfield and platform. Taking into account both the transportation capacity of oil and gas pipelines and the strength of casing, multiphase flow theory is used to calculate the pressure drop and transportation capacity of the riser. Based on this, the size of the oil pipe and casing is iteratively calculated. The riser design is based on the specifications and professional software Orcaflex, which is mainly used in the design process, is used for stress analysis of the riser, Taking into account the main scale of the FWPSO platform, reservoir and wellhead data, as well as the marine environment data where the riser is located, the selected oil and casing will be subjected to wall thickness design verification.
Risk Management and Decision Analysis for Construction Projects
Authors: Yue Shi
Published: January 2024

As construction projects continue to grow in size and complexity, risk management and decision analysis are increasingly becoming critical key factors in ensuring the successful completion of projects. The special nature of construction projects requires project teams to be able to comprehensively and systematically assess and deal with potential risks to ensure that the project can be completed with high quality within the scheduled time and budget. Based on analyzing the importance of risk management in construction projects, this paper discusses in depth the current situation and problems of risk management in construction projects, and puts forward countermeasures to strengthen the risk management of construction projects, so as to improve the feasibility and success of the project.
Design of Intelligent Customer Service Knowledge Base for Medical Insurance Based on Foundation-scale Models
Authors: Lyu Yixuan
Published: January 2024

In this paper, we propose a method for constructing an intelligent customer service knowledge base system for medical insurance based on natural language processing (NLP) models. This method utilizes a local vector database to construct the knowledge base system and retrieves industry knowledge by calling the vector database through foundation-scale models. The use of this technology ensures the security of business data and reduces platform training costs. The intelligent knowledge base of medical insurance constructed using this method can automatically handle user’s inquiries, complaints, and general business transactions, effectively improving the efficiency and intelligence level of customer service.
Laboratory Reactor Monitoring System Based on IoT
Authors: Yang Xinbo , Yang Dazhi , Wang Yuxing
Published: January 2024

In response to the limitations of existing laboratory reaction vessels, such as the lack of remote monitoring and low level of intelligence, a laboratory reaction vessel monitoring system based on the Internet of Things (IoT) is designed. This monitoring system utilizes a controller with the STM32F407 chip as its core to collect and control the temperature and motor parameters of the reaction vessel. Data exchange with the OneNET cloud platform is facilitated through a WiFi communication module. The remote monitoring terminal establishes a WiFi connection with the OneNET cloud platform, enabling real-time data and command transmission with the STM32F407 controller. Experimental results demonstrate that the system can effectively achieve real-time remote monitoring of the reaction vessel’s operational status, meeting the expected objectives.
ASSESSING THE EFFICACY OF ECO-FRIENDLY INSECTICIDES AGAINST THE SPODOPTERA LITURA (TOBACCO CUTWORM) POPULATION
Authors: AHMAD A , SHAKEEL M
Published: January 2024

In the investigation conducted, the assessment of environmentally friendly insecticides, including Abamectin, Spinosad, Insect Growth Regulators (IGRs), and Bacillus thuringiensis, was undertaken with a focus on evaluating their efficacy and toxicity in controlling the tobacco cutworm, Spodoptera litura. The study aimed to provide insights into the ecological compatibility of these insecticides within the context of controlling the target pest. Among the various treatment applications, Diflubenzuron + Deltamethrin exhibited the highest efficacy in causing mortality among the larvae of the cutworm and Abamectin demonstrated significant approachability, resulting in mortality rates of 91.35% and 91.23%, respectively. The untreated control group exhibited the highest growth rate, while treatment with Diflubenzuron + Deltamethrin yielded the lowest growth rate at 2.03. Bacillus thuringiensis treatment demonstrated significant impacts on both larval-pupal transition and survival rates, registering values of 1.34 and 0.43, respectively. This indicates a notable influence on the developmental stages and overall survival of Spodoptera litura larvae. The findings of this study underscore the potential of eco-compatible pesticides, with Diflubenzuron + Deltamethrin, Abamectin, and Bacillus thuringiensis presenting distinct outcomes in the control of Spodoptera litura. The observed effects on mortality, growth rates, and developmental transitions provide valuable insights into the practical applicability of these environmentally friendly insecticides in managing pest populations in an ecologically sustainable manner.
Application of tabu search, TS, to solve a flow shop scheduling problem with changeover times in operations: A case study
Authors:   HCMC University of Technology, VNU HCM, Ho Chi Minh City, Vietnam, Nguyen Nhu Phong , Nhi Nguyen Thi Thuy ,   HCMC University of Technology, VNU HCM, Ho Chi Minh City, Vietnam
Published: January 2024

Flow Shop Scheduling (FSS) Problems are NP-hard combinatorial optimization problems. It is quite difficult to achieve an optimal solution for FSS problems with mathematical modeling approaches because of its NP-hard structure. Tabu search (TS), a mega-heuristic algorithm, plays a major role in searching for near-optimal solutions for NP-hard optimization problems. This paper develops a TS model for solving a FSS problem with the objective to reduce total weighted tardiness time, and constraint on changeover time in operations. The performance of the TS model is compared with that of traditional EDD heuristics, being used. The result shows that the objective value has been reduced by 43%, from 215.95 to 123.07 (h). It indicates that the TS model is a good approach for FSS problems.
REVOLUCIONANDO O APRENDIZADO: EXPLORANDO AS TECNOLOGIAS DIGITAIS DE INFORMAÇÃO E COMUNICAÇÃO NO ENSINO
Authors: Silva Alexander Aparecido Urso , Guimarães Christiane Diniz , Da Silva Claudia Kreuzberg , Beleza Erika Martins , Rodrigues Fábio Feitosa , Meroto Monique Bolonha das Neves , Da Silva Ricardo Gomes , Mendes Santina Aparecida Ferreira
Published: January 2024

O presente artigo, fundamentado em uma pesquisa qualitativa de levantamento bibliográfico, investiga as Tecnologias Digitais de Informação e Comunicação (TDIC) no âmbito do ensino. Tem-se como objetivo central analisar as contribuições advindas da inserção das TDIC no processo de ensino-aprendizagem. Para alcançar tal finalidade, o estudo propõe uma reflexão acerca da relevância da adoção de novas metodologias em ambientes educacionais, discute a importância da integração das TDIC nesse processo e identifica os impactos resultantes da utilização das TDIC na dinâmica de ensino-aprendizagem dos discentes. Através da análise realizada, evidencia-se que as TDIC possuem um papel significativo na promoção de um ambiente de aprendizagem dinâmico e engajador. Conclui-se, portanto, que as TDIC emergem como uma ferramenta pedagógica inovadora de grande potencial no contexto educacional contemporâneo.
Individual Differences in Notetaking, Summarization, and Learning from Lectures
Authors: Hadwin Allyson Fiona , Kirby John R. , Woodhouse Rosamund A.
Published: January 2024

This study investigated working memory, verbal ability, and prior knowledge as predictors of the quality of: (a) students' notes taken during a lecture; (b) summaries of the lecture written during a review period; and (c) recall of the lecture content. The usefulness of taking notes was considered in terms of quality of summarization and recall of the lecture material for three groups of students who: (a) listened to the lecture, took notes, and reviewed those notes; (b) listened to the lecture and reviewed a set of provided notes; or (c) listened to the lecture, took notes, and then reviewed a set of provided notes. Results indicated that students with higher working memory benefit more from listening to the lecture than listening and taking notes. However, the quality of summaries written was a more powerful predictor of performance than the individual differences students' brought to the task. This study extends previous studies by integrating summarization and lecture learning research and providing new insight into the role of notetaking and its relationship to working memory.
Using Statistical and Judgmental Reviews to Identify and Interpret Translation Differential Item Functioning
Authors: Gierl Mark , Rogers W. Todd , Klinger Don A.
Published: January 2024

The purpose of this study was to evaluate the equivalence of two translated tests using statistical and judgmental methods. Performance differences for a large random sample of English- and French-speaking examinees were compared on a grade 6 mathematics and social studies provincial achievement test. Items displaying differential item functioning (DIF) were flagged using three popular statistical methods—ManteTHaenszel, Simultaneous Item Bias Test, and logistic regression—and the substantive meaning of these items was studied by comparing the back-translated form with the original English version. The items flagged by the three statistical procedures were relatively consistent, but not identical across the two tests. The correlation between the DIF effect size measures were also strong, but far from perfect, suggesting that two procedures should be used to screen items for translation DIF. To identify the DIF items with translation differences, the French items were back-translated into English and compared with the original English items by three reviewers. Two of seven and six of 26 DIF items in mathematics and social studies respectively were judged to be nonequivalent across language forms due to differences introduced in the translation process. There were no apparent translation differences for the remaining items, revealing the necessity for further research on the sources of translation differential item functioning. Results from this study provide researchers and practitioners with a better understanding of how three popular DIF statistical methods compare and contrast. The results also demonstrate how statistical methods inform substantive reviews intended to identify items with translation differences.
Theory-Based Prediction of Early Reading
Authors: Kirby John R. , Parrila Rauno K.
Published: January 2024

This article presents a theory of the cognitive processes involved in learning to read and examines the degree to which measures derived from this theory are able to predict success in reading. Measures were selected to address five phonological processing constructs (naming speed, memory, rhyming, phonological synthesis, and phonological analysis), letter knowledge, and the ability to pronounce words by analyzing them into smaller parts (decoding). Measures of these constructs and several measures of reading achievement were administered to an initial sample of 161 kindergarten children and then readministered to as many of the same children as possible in grades 1 and 2; in grade 3 the reading achievement tests were administered. Principal components analyses were used to derive factor scores for the phonological constructs in kindergarten and grades 1 and 2. In grade 2 five factors were found, but in kindergarten and grade 1 the phonological synthesis and analysis measures formed one phonological awareness factor. The factor scores, letter knowledge, decoding, and the reading achievement scores for each grade were used as predictors of reading achievement in subsequent grades in a series of hierarchical regression analyses. Results supported the proposed theory, with phonological awareness (or analysis), naming speed, and letter recognition being the most frequent significant predictors and R2s ranging from .69 to .89. The constructs identified in the theory are argued to be important targets for both assessment and instruction. The value of theoretical models of achievement is discussed.
An Empirical Investigation of Online Grocery Shopping Behaviors Based on Different Generations
Authors: Seo Jung-Im
Published: January 2024

The Coronavirus 19 (COVID-19) pandemic has significantly impacted on consumers’ grocery shopping habits and lifestyles. Online grocery shopping is one of the promising ways to have little contact as well as increase convenience. For this reason, the sales and revenues of online grocery shopping have been dramatically increasing during the pandemic. The purpose of this study to explore online grocery shopping behaviors of different generations and their shopping intentions toward online grocery shopping during and after the pandemic. Data were collected from Amazon Mechanical Turk (MTurk) and Southeast region in U.S.A with convenience sample. All Generations know that online grocery shopping is a very useful and pleasure shopping method to purchase foods during the pandemic, but only two Generations (Y and X) plan to keep their online grocery shopping services after the pandemic. Amazon Fresh and Walmart.Com are the popular online applications for online grocery shopping among Generation Z, Y, and X. On the other hand, Baby Boomers believe that grocery shopping through the internet is not easy, and they had a hard time to find grocery items on the website. Generation Z and Baby Boomers prefer to shop their grocery items at the off-line grocery stores after the pandemic.
Growth response to pre-commercial thinning of lodgepole pine is short-term but the effects on size distribution persist for decades
Authors: Bhandari Shes K. , Pinno Bradley D. , Stadt Kenneth J. , Thomas Barb R.
Published: January 2024

Pre-commercial thinning in Alberta is a potential option for increasing the growth rate and shortening the rotation age of regenerating forests. Previous studies have focused on the evaluation of either the immediate- or long-term response to thinning after many decades. Our current study compares the pre-commercial thinning response in lodgepole pine for a 10-year period immediately after thinning, and again 38-45 years after thinning, based on 22 paired plots of precommercially thinned trials in Alberta. The first group of plots was pre-commercially thinned in 1984, measured in 1985 and 1995 (short-term) and the second group was pre-commercially thinned between 1962 and 1969 and measured in 2007 and 2017 (long-term). In the short-term, individual tree DBH growth was 56% greater in pre-commercially thinned plots, while in the long-term plots, there were no measured growth differences between pre-commercially thinned and unthinned plots. Small- and medium-sized trees benefited more from pre-commercial thinning than larger trees. However, at the stand level, the number and volume of merchantable-sized trees (≥13.5 cm DBH) were higher in pre-commercially thinned plots than in unthinned plots in both the short- and long-term. Although the growth response of thinning appeared to be a short-term response (number and volume of larger trees), yield at the end of the long-term measurement period was still higher in pre-commercially thinned than in unthinned plots.
Pemanfaatan Teknologi Komunikasi SPADA UNTIRTA Dalam Meningkatkan Aktivitas Belajar
Authors: Azahra Magdataura Bani Agung  , Nina Yuliana
Published: January 2024

This research discusses the use of SPADA Untirta communication technology in increasing learning activities. SPADA Untirta is an online learning system implemented at Sultan Ageng Tirtayasa University (UNTIRTA) to make it easier for Untirta students to learn both face to-face and online. SPADA Untirta has many benefits in increasing student learning activities. However, despite the many benefits that SPADA has, there are several things that can hinder the use of SPADA. The aim of this research is to determine the use of SPADA Untirta communication technology in improving learning activities and to find out what obstacles and things cause the use of SPADA Untirta to be hampered. The method that researchers used in this research is a qualitative research method. The technique that the researcher uses in this research is a phenomenological study research technique where the researcher wants to understand the direct experience of the person being studied. Phenomenological studies focus on in-depth descriptions of how individuals experience a phenomenon or event. In this research, researchers used phenomenological theory. This theory emphasizes a deeper understanding of the life experiences of individuals or groups and observing the meaning of the phenomena they experience.
Collaborative Learning: An Assessment of the Students’ Essay Writing Skills
Authors: Ahmad Zaheer , Abbas Asghar , Khadim Madiha
Published: January 2024

The present experimental study aimed to assess the students’ essay-writing skills at the graduate level. Writing is highly pertinent among all four English language skills related to communication. The results of the students who were taught in the classroom through collaborative learning techniques were compared with the results of the students who were taught through traditional methodology. Female students at the graduation level from a government college in the Chakwal district of Punjab province were considered the population of the present study. A simple random sampling technique was used to select 30 students. The sample of 30 students was divided into experimental and control groups by dividing 15 students in each group. The traditional methodology was used to teach the students of the control group, whereas the collaborative learning technique was used to teach the treatment group students. Both groups were observed twice. The results were analyzed using the independent sample t-test. The findings revealed that the students of both groups performed almost the same in the pretest, whereas a significant difference was observed in the mean score of both groups in the post-test. It was recommended that the traditional teaching methodologies be replaced with collaborative learning techniques.
Examining the Impact of Job Demands, Resources and Technostress on Psychological Wellbeing of Gig Workers: A Theoretical Model
Authors: Tara Nain , Iqbal Syed Muhammad Javed
Published: January 2024

The purpose of writing this paper is to give an integrated framework in the form of a theoretical model to understand the influence of gig work-related job characteristics on the psychological well-being of gig workers. A synthesis of existing literature in the form of research papers, conference proceedings, reports on gig index etc., is used to identify critical job characteristics, e.g., precarity (job insecurity) and flexibility (job autonomy) and stress related to extensive use of technology (technostress) which have implications for the wellbeing of gig workers. By drawing on the job demands and resources theory and technostress model, this study proposed a theoretical model. The result of this article can be used to guide ongoing research in the context of the gig economy to investigate the job characteristics and stressors relevant to gig workers affecting psychological well-being workers. The research paper tried to expand the understanding of JDR theory in the context of gig works regarding how job demand and job resources via technology-related stress mechanisms affect psychological well-being.
Semaglutida como coadjuvante para tratamento da Obesidade Infantil: uma revisão sistemática
Authors: Grecco Letícia , Dutra Raphaela Nogueira , Muhammad Nasser Fraga , Ribeiro Neto Alírio Caribé
Published: January 2024

A obesidade, uma epidemia complexa, progressiva, crônica, é caracterizada por excesso de gordura corporal. Estima-se que em 2025 a obesidade atingirá, mundialmente, 75 milhões de crianças em idade escolar, prejudicando seu desempenho e aumentando a incidência de agravos em saúde. Para minimizar esses efeitos, preconiza-se o desenvolvimento de hábitos saudáveis aliado à terapia medicamentosa. Entre as opções fármacos, há a utilização da semaglutida, um agonista do receptor do peptídeo 1, capaz de atuar positivamente na redução da massa corporal. Objetivou-se elencar os principais achados do tratamento com semaglutida em jovens obesos com menos de 18 anos de idade. A estratégia de busca foi feita nas bases de dados Virtual Health Library (BVS), Portal de Periódicos da CAPES, PubMed e Scielo, sendo que das 1.294 publicações, apenas duas fomentaram a revisão sistemática, visto que os estudos são amplamente realizados em adultos, carecendo de informações para sua usabilidade em menores de 18 anos. Dentre os principais achados, o uso de doses de até 2,4 mg semanais de semaglutida, apesar poderem resultar em efeitos gastrintestinais, vesiculares e cardíacos adversos, contribui significativamente com redução do índice de massa corporal e de fatores cardiometabólicos.
Epidemiologia da tuberculose pulmonar em Roraima: uma análise entre 2018 e 2022
Authors: Dos Santos Rayla Leandra Oliveira , Da Costa Fabiana Zanetti , Verri Luana Maysa Peccini , Barbosa José Vinícius Almada , Benedetti Maria Soledade Garcia
Published: January 2024

A tuberculose, antes do advento dos antibióticos, apresentava mortalidade de 80%. Atualmente, mesmo com a existência de cura e prevenção, a incidência da infecção pelo Mycobacterium tuberculosis ainda é elevada, principalmente entre os países em desenvolvimento, inclusive o Brasil. Roraima é o segundo estado com a população sob maior risco de adoecimento pela doença.
Boosting the Achievement of Internalization of Islamic Values with the Quantum Learning Model
Authors: Hakim Siti Nurina , Kumaidi  , Rahman Abdul
Published: January 2024

Objective: This study aims to proving the effectiveness of quantum learning in increasing the achievement of internalization of Islamic values for kindergarten students. Bustanul Athfal Kindergarten is Aisyiyah's early childhood education institution. There, the organization of Islamic education, which aims to implant Islamic ideas in children from an early age so that they grow virtue-driven personalities, has become vital. It is expected that students have a very fundamental understanding (internalized) of their religious convictions and love for Islam from an early age.
 
Methods: The study used an experimental method with a two-group quasi-experimental design. The research subjects were 114 students from five kindergarten subjects, divided into the experiment of quantum learning model group and the control group (conventional model). To collect data, the researchers employed the authentic Islamic value assessment model as call MANIS. The data were then analyzed by t-test and N-Gain analysis.
 
Results and Conclusion: The t-test findings, first, demonstrated a substantial distinction between the quantum learning model and conventional model. According to the N-Gain results, the quantum learning model was more successful than conventional model model. Consistently, the quantum model outperformed the conventional group in terms of achievement and efficiency. So, the quantum learning model is efficient in increasing the achievement of students' internalization of Islamic values.
 
Recommendation: for the next teacher are to adopt the Quantum Learning Model in their learning process, especially in kindergarten, because this research shows that the model is effective in encouraging the achievement of internalization of Islamic values in children.
Bioactivity of Ginger (Zingiber officinale Rosc), Citronella (Cymbopogonnardus (L.) and Cinnamon (Cinnamomum burmannii B) Against Decreased Blood Sugar Levels of Alloxan-induced (Rattus Novergicus)
Authors: Riris Ida Duma , Ningsih Tita Juwita , Damanik Marini , Silaban Ramlan
Published: January 2024

Purpose: To see the potency of mixed extracts of Ginger (Zingiber officinal Rosc.), Citronella (Cymbopogon nardus (L.) Randle, Cinnamon (Cinnamomum burmanii B.)  Against blood sugar levels in alloxan-induced Novergicus Rattus male rats.   Theoretical reference: Insulin resistance is necessary to maintain dysglycemia, where insulin levels are higher than usual. Insulin resistance often occurs in people who are overweight, commonly known as obesity. 2. Pancreatic B Cell Dysfunction, decreased pancreatic beta cell function, and continued increase in insulin resistance, causing chronic hyperglycemia and stage liver disease. 3. Environmental factors are individuals who consume excessive carbohydrates and sugars.   Method: Using Complete Randomized Design (RAL) consisting of 7 groups with 4 repetitions, namely K0 (Normal group), K- (Negative group), K+ (Positive group given meformin), K1, K2, K3 and K4 (mixed extracts of ginger, lemongrass, cinnamon 100, 200, 300 and 400mg/kg bw), The data obtained were analyzed using ANOVA with a sig < 0.05.   Results and conclusion: It showed that the administration of mixed extracts of Ginger (Zingiber officinal Rosc.), Citronella (Cymbopogon nardus (L.) Randle, Cinnamon (Cinnamomum burmanii B.) affected reducing blood glucose levels and improving pancreatic histology. A mixed extract dose of Ginger (Zingiber officinal Rosc.), Citronella (Cymbopogon nardus (L.) Randle, Cinnamon (Cinnamomum burmanii B.) 400 mg/kg bw was most effective in lowering blood glucose levels and improving alloxan-induced pancreatic histology.   Implications of the research: When you want to control blood sugar, you can use a mixture of Ginger (Zingiber officinale Rosc), Citronella (Cymbopogonnardus (L.), and Cinnamon (Cinnamomum burmannii B) extracts in balanced portions).   Originality/Value: Ginger (Zingiber officinale Rosc), Citronella (Cymbopogon Nardus (L.), and Cinnamon (Cinnamomum burmannii B) have potential as herbal medicine ingredients.
Indonesia's Energy Transition Preparedness Framework Towards 2045
Authors: Af’ida Khofsoh  , Ariyana Dwiputra Nugraha  , Benita Dian Purnamasari  , Dedi Rustandi  , Beny Harjadi  , Erwandi  , Hanan Nugroho  , Hasti Afianti  , Indri Hapsari  , Inggit Kresna Maharsih  , Kirstie Imelda Majesty  , Muhammad Hamzah Solim  , Navik Puryantini  , Nur Laila Widyastuti  , Rasgianti  , Ristiyanto Adiputra  , Takeshi Yasunaga
Published: January 2024

Energy transition is a shift in the system of energy production and consumption, from fossil-based materials (oil, natural gas, coal) to renewable energy sources (nuclear, wind, solar). Indonesia’s national energy transition roadmap has set the vision towards a cleaner and more sustainable energy future in 2045. The ultimate goal is to reach net zero emission, the state in which emissions caused by human activities are balanced by carbon dioxide removal over a certain period of time. With this vision, Indonesia stands as a beacon of promise in the global pursuit of green energy solutions, navigating the path towards a more sustainable and resilient future.
Indonesia's Energy Transition Preparedness Framework Towards 2045 unveils a comprehensive framework that encapsulates Indonesia’s energy transition readiness and elaborates the steps needed to strengthen the efforts. This book represents a significant milestone in Indonesia’s commitment to foster a transition towards renewable energy. From the lush landscapes of Sumatra to the vibrant cities of Java, Indonesia’s rich diversity is mirrored in its approach to energy transition—a transformative journey that encompasses not only technological advancements, but also socioeconomic considerations, policy dynamics, and the empowerment of its people.
This book will be useful for the general public to learn and understand the framework of energy transition and supplies, so that it will eventually accelerate clean energy momentum in Indonesia.
Asuhan Kebidanan Komprehensif Ny”S” dengan Bendungan Asi di Puskesmas Batupanga Kecamatan Polewali, Kabupaten Polewali Tanggal 03 Oktober sampai 30 November 2022
Authors: Nurfadilah Nurfadilah , Rasmawati Rasmawati , Sahadang Ana
Published: January 2024

Continue of care atau Asuhan kebidanan komprehensif merupakan asuhan kebidanan yang diberikan secara menyeluruh dari mulai hamil, bersalin, nifas, bayi baru lahir sempai keluarga berencana. Oleh karena itu, sebagai langkah awal dalam penyusunan Laporan. Tugas akhir, penulis menyusun studi kasus dalan bentuk Asuhan kebidanan komprehensif. Salah satu provinsi di Indonesia yaitu Sulawesi Barat dengan AKI dan AKB tahun 2022 AKI : 49 kasus kematian, AKB 303 kasus kematian. Data lain yang penulis dapat dari dinas kesehatan Kabupaten Polewali, AKI pada tahun 2019  sebanyak 7 orang dari 4.594 persalinan mengalami penurunan pada Tahun 2022 menjadi 5 orang dari 5.494 persalinan. AKB pada tahun 2015 sebanyak 59 orang mengalami penurunan 2022 menjadi 50 0rang (Dinas Kesehatan Kabupaten Polewali 2018-2022). Metoda Dalam penelitian ini, peneliti melakukan penelitian dalam bentuk study kasus, dimana penelitian ini dilakukan dengan fokus terhadap satu responden yang dikaji secara berkelanjutan. Peneliti mengambil respondens yang bernama NY”S” yang dikaji mulai masa kehamilan, persalinan, nifas, neonatus dan keluarga berencana, laporan study kasus di dokumentasikan dalam bentuk 7 langkah Varney untuk asuhan persalinan, dan untuk masa nifas, bayi baru lahir sampai dengan pelayanan Keluarga berencana di dokumentasikan dalam bentuk SOAP serta catatan perkembangan. Hasil  G1 P0 A0, Gestasi 28 minggu,Punggung Kanan ,Persentase kepala,bergerak dalam panggul, intrauterine, tunggal, hidup keadaan ibu baik, keadaan janin baik. Kesimpulan  Pada Ny. “S” Asuhan Kebidanan yang dulakukan sudah sesuai standar Asuhan Pelayanan Kebidanan ANC, Ny. “S” memeriksakan kehamilan secara teratur dan rutin di Puskesmas Batupanga dan dalam proses kehamilan ibu dalam keadaan fisiologis. Asuhan Persalinan Ny. “S” sesuai dengan standar APN, berjalan secara fisiologis dan lancar. Ibu dipantau dengan menggunakan partograf yang merupakan alat bantu untuk memantau kemajuan persalinan. Asuhan Bayi Baru Lahir ( BBL ) pada bayi Ny. “S” sesuai dengan standar kunjungan neonatal, keadaan umum bayi baik, tidak ada kelainan ataupun komplikasi, bayi dibantu untuk melakukan IMD pada saat kelahiran. Bayi diberikan vitamin K1 untuk mencegah terjadinya perdarahan dan pemberian HB0 untuk mencegah terjadinya hepatitis tetapi pada bayi Ny. “S” telah diberikan salep matari. Asuhan Nifas (puerperium) Ny. “S” sesuai dengan standar kunjungan rumah pada ibu Post Partum serta perawatan dengan bendungan ASI. yang dinamakan kunjungan rumah meliputi Kunjungan Nifas I (6-8 jam post partum), Kunjungan Nifas II (6 hari post partum), Kunjungan Nifas III (3 minggu post partum), dengan keadaan ibu baik. Asuhan Keluarga Berencana pada Ny. “S” sesuai dengan standar pelayanan KB dimana ibu memilih dan menggunakan suntikan 3 bulan (depoprogestin)
Interoperable IoT Devices and Systems for Smart Homes: A Data Analytics Approach to Enhance User Experience and Energy Efficiency
Authors: Elmi Yonis Abdirahman
Published: January 2024

The Internet of Things (IoT) has revolutionised the way people live and work, and its increasing popularity has led to the widespread adoption of smart homes. However, the lack of interoperability among IoT devices and systems used in smart homes limits their capacity to enhance the user experience and improve energy efficiency. Therefore, this study focuses on improving interoperability between various IoT systems and devices. It was anticipated that the research would contribute to the creation of a more cohesive and integrated smart home environment by helping to develop a data analytics framework that enables the integration and analysis of data from various devices. The study then produces an intended user design strategy for smart homes that takes into account users' wants, preferences, and behaviours during the design phase. The goal of this project was to create smart houses that are more intelligent, environmentally green, and user-friendly and that will benefit both individuals and the whole society.
Prospects of Digitalization practices in academic Libraries in Delta State, Nigeria
Authors: Ejiroghene Regina Eniekebi
Published: January 2024

This work is a continuation of work done in Edo State, which aims at strengthening digitalization practices in academic libraries. The research looked into digitalization techniques in academic libraries in Delta State, and descriptive research design was used for the investigation. The population consists of academic library workers. Simple random technique was utilized to choose four schools in Delta State, with 40 library employees serving as the study’s sample. Self-created questionnaire was used. It was created in a closed-ended format of Yes or No. The instrument’s dependability was determined utilizing Cronbach’s Alpha. The data was evaluated using simple percentage statistical technique. The findings demonstrated that academic libraries’ digitization practices boosted access to library items, effective preservation of library materials, improved library service, quick retrieval of documents, and improved library exposure. Despite the benefits, librarians in academic libraries confront hurdles in developing successful digitization practices. Alternate power supplies, such as high-capacity generators and usage of solar electricity, are required to address the country’s unpredictable power supply. Furthermore, libraries should seek out professors on their campuses who are developing or utilizing novel technologies such as those outlined in this write-up and begin employing them, to test them in collaboration with other instructors and students.