bluuebunny/crossref_metadata_2025 huggingface dataset:
Consumir Sustentável é Ter Status? Um estudo sobre o Consumo Sustentável e o Consumo de Status no segmento vestuário
Authors: Klusener Monique Vigil , Silva Andressa Hennig , Alves Ricardo Ribeiro
Published: June 2024

Objetivo: Analisar a influência do Consumo Sustentável no Consumo de Status no segmento de vestuário do contexto brasileiro.Método: Corresponde a um estudo descritivo com uma abordagem quantitativa, a partir do método Survey. A coleta de dados ocorreu de forma on-line com 420 respondentes. As escalas utilizadas foram Consumo Sustentável de Fischer et al. (2017), com 13 itens, e a escala de Consumo de Status desenvolvida por Eastman et al. (1999) que apresenta 14 itens. A análise dos dados correspondeu a análise estatística descritiva e a análise de regressão linear múltipla.Resultados: Na análise de regressão pode-se denotar que o fator escolha de compra sustentável não apresenta influência no status. Este entendimento esclarece que as práticas sustentáveis abordadas por empresas no cenário da moda não promovem um engajamento em consumidores que compram de forma sustentável. Sem mencionar que as empresas de moda com produtos sustentável, preocupadas em produções ecológicas ou verdes, de materiais orgânicos, bem como, um comércio justo, não estão atingindo aqueles que buscam status.Originalidade: Este estudo contribui com a discussão acerca da sustentabilidade, atrelando questões de status, ainda pouco investigadas de forma conjunta na literatura.
Today's Academic Research: The Role of ChatGPT Writing
Authors: Chukwuere Joshua Ebere
Published: June 2024

The purpose of this study is to examine the place of ChatGPT writing in the current academic environment. Significant attention has been drawn to the amazing capacity of ChatGPT, a sophisticated language model created by OpenAI, to produce text answers that nearly mimic human speech. The current study examines ChatGPT's effects on a number of academic areas, including writing support, data analysis, literature reviews, and scientific cooperation. The paper looks at the benefits and drawbacks of using ChatGPT in academic research and offers some insight into prospective uses for this technology in the future. To efficiently respond to the research questions and accomplish the stated goals, the present study used a quick review of the literature technique. The study has discovered several ChatGPT uses in academic writing, including data gathering, teamwork, implications, and restrictions. The study also looked at how to prevent plagiarism in written work produced using ChatGPT. In conclusion, if ChatGPT is used wisely and responsibly, it has the potential to dramatically enhance and revolutionize academic research, enabling multidisciplinary cooperation.
Measuring the Level of HRIS Governance Capability in the Automotive Financing Company Using COBIT 2019
Authors: Naufal Muhammad , Sutomo Rudi
Published: June 2024

In response to the imperative advancements in information technology, companies strive to leverage it for a competitive edge.  An automotive financing entity with over 4,000 employees encounters challenges in governing its Human Resources Information System (HRIS). Difficulties include employee service being negatively impacted by delayed HRIS computations, budgets growing faster than regulations, and branch employees not understanding HRIS. The organization intends to use the COBIT 2019 framework to assess its IT governance to address these issues. Based on qualitative interviews and literature reviews, data collection will identify relevant domain processes—APO03, APO06, APO011, APO07, and DSS06—to address the issues. The research reveals that APO03, APO06, APO011, and APO07 are "Largely Achieved" but with identified gaps, while DSS06 is "Fully Achieved." These findings, derived from audit document analysis, will inform recommendations to address process gaps. The company will be presented with these recommendations to enhance its IT governance and management in alignment with COBIT 2019.
THE RELATIONSHIP BETWEEN SENSORY MARKETING AND PURCHASING DECISION: CUSTOMER SATISFACTION AS A MODERATOR
Authors:   Misr University for Science and Technology, Egypt, Alhosseiny Hajar Mohammad , Nabih Amal Adel ,   Ain Shams University, Egypt
Published: June 2024

This research investigates the relationship between sensory marketing and purchasing decisions using customer satisfaction as a moderator. The study was applied on the customers of “Qasr E-Kababgi” restaurants (Cairo branches) as this restaurant chain is considered as one of the largest and most famous restaurants specialized in oriental food in Egypt. In addition, it is considered as a touristic destination and a favorite place to visit for foreigners. Accepted responses to the questionnaire were (385) responses. To assess the reliability and validity of the instrument and test the research framework, the researchers used smart PLS 4. Partial Least Squares Structural Equation Modeling (PLS-SEM), a variance-based approach utilizes the total variance to estimate the model parameters. The research findings showed that there is a positive relationship among all variables, and customer satisfaction moderates the relationship between Sensory marketing and Purchasing decision.
FORENSIC ACCOUNTING RESEARCH TRENDS: A COMPREHENSIVE REVIEW OF KEY THEMES AND FUTURE DIRECTIONS
Authors:   University of Oum El Bouaghi, Algeria, Djeffal Khalid , Khaldi Adel ,   University of Oum El Bouaghi, Algeria
Published: June 2024

This study explores the evolving landscape of forensic accounting research (FAR) through a combined content and bibliometric analysis. Utilizing the Scopus database and focusing on publications from 1991 to 2023, and further analysed 16 literature reviews to extract key themes and trends, we identified key research themes and trends within FAR. Our analysis reveals a shift towards technology-driven fraud detection and prevention methods, emphasizing the use of data analytics, artificial intelligence, and blockchain. Additionally, there is a growing recognition of the human element in fraud, prompting research into behavioural and psychological factors influencing fraudulent activities. The study also highlights the need for standardized forensic accounting education and training programs to equip professionals with the necessary skills to combat increasingly sophisticated financial crimes. Addressing regional disparities in expertise and fostering international collaboration are crucial for advancing the field and promoting global financial integrity. This research provides valuable insights for academics, practitioners, and policymakers seeking to understand current trends and future directions within FAR.
Best practices and innovations in carbon capture and storage (CCS) for effective CO2 storage
Authors: Andrew Emuobosa Esiri  , Dazok Donald Jambol  , Chinwe Ozowe
Published: June 2024

Carbon capture and storage (CCS) has emerged as a critical technology in the fight against climate change, offering a viable pathway to mitigate CO2 emissions from industrial processes and power generation. This review explores the best practices and innovations in CCS for effective CO2 storage, highlighting key strategies and advancements that optimize storage capacity, enhance storage security, and minimize environmental risks. The review begins by delineating the importance of CCS in reducing greenhouse gas emissions and meeting global climate targets. It underscores the urgency of deploying CCS technologies at scale to address the dual challenge of decarbonizing energy systems and ensuring energy security. Drawing upon recent research and industry developments, the review elucidates best practices in CO2 capture, transport, and storage, emphasizing the importance of integrated and holistic approaches. It discusses advancements in CO2 capture technologies, including post-combustion capture, pre-combustion capture, and oxy-fuel combustion, highlighting efficiency improvements and cost reduction strategies. Furthermore, the review delves into innovations in CO2 storage techniques, such as geological storage, ocean storage, and mineralization, evaluating their respective advantages, challenges, and scalability. It explores best practices for site selection, characterization, and monitoring, emphasizing the need for robust risk assessment frameworks and regulatory oversight to ensure the safety and integrity of storage sites. Moreover, the review examines emerging trends and innovations in CCS, including enhanced oil recovery (EOR) using CO2, direct air capture (DAC) technologies, and carbon utilization and storage (CCUS) initiatives. It discusses the potential synergies between CCS and renewable energy technologies, highlighting integrated solutions that leverage CCS to enable the decarbonization of hard-to-abate sectors such as heavy industry and aviation. The review underscores the pivotal role of CCS in achieving deep decarbonization and transitioning to a low-carbon economy. It calls for continued research, investment, and collaboration to unlock the full potential of CCS technologies and accelerate their deployment at scale. By embracing best practices and fostering innovation, stakeholders can pave the way for effective CO2 storage and contribute to global efforts to combat climate change.
Keywords: Best Practices, Innovation, Carbon, Capture, Storage, CO2.
Pengembangan Bahan Ajar Pendidikan Agama Islam Di SMPN 3 Sumberasih Satu Atap
Authors: Afkarina Zida afkarinah , Imam Bukhori  , Mohamad Solihin
Published: June 2024

The role of teachers is very important in education, teachers must be able to combine material, to create effective, efficient and enjoyable learning. Availablity of teaching materials to support the learning process to achieve goals. The aim of this research is to develop teaching materials with the constraints of minimal time allocation in infrastructure in a learning context. The method used uses a qualitative descriptive research type. Data collection techniques are used by observation, interviews, etc. in situations where time and resources are limited an efficient and effective approach is necessary to ensure the availablity of relevant materials and continue learning. This research proposes a development strategy that utilizes technology, curriculum, adjustment and collaboration between teachers and students to overcome these obstacles. The evaluation results show that this approach succeeded in improving the quality of learning despite the existing obstacles. The practical implication of this research is the provision of guidance and resources that can assist education in developing responsive teaching materials, in situations of minimal time allocation and infrastructure.
How Drama Enhances English-Speaking Skills: The Role of Drama in Teaching English-Speaking Skills in Selected Secondary Schools in Kigali City, Rwanda
Authors: Mugiraneza Emmanuel , Habintwali Alexandre , Kanyambo Jean Damascene , Niyibizi Epimaque
Published: June 2024

The incorporation of drama in teaching English-speaking skills plays a crucial role in promoting students’ speaking skills. Despite drama being among genres of literature that may improve and sharpen the higher level of students ‘speaking skills, in Kigali City secondary schools, poor speaking skills are due to the low level of students and it is difficult to pronounce some words, which is mostly influenced by the excessive use of their mother tongue. The objective of this research was to identify the role of drama in teaching English-speaking skills in selected secondary schools in Kigali City. This research was qualitatively designed to achieve the general objective "tto find out the extent and role of using drama in teaching English language to promote students’ speaking skills in selected secondary schools in Kigali City." The social-cultural theory of using drama to teach the English language guided this investigation. It used a descriptive research design with a random sample of 100 students and 4 teachers in selected schools in Kigali City from a target population of 1004. Data were collected using questionnaires and interviews to gather primary data. The results of the study revealed that the application of drama features and drama activities in the classroom in teaching English language had positively promoted students’ speaking skills in Kigali City secondary schools, especially in the control group (language combinations). In addition, the results of the study confirmed that students developed a positive attitude when drama was used in classes and could improve their speaking skills. Moreover, the limited  use or lack of drama in the non-control group (non-language combinations) led to an unsatisfactory level of English-speaking skills. Therefore, using drama in four selected secondary schools in Kigali City improved students’ speaking skills to the extent of fluency, pronunciation, and accuracy. The research recommends that teachers should be aware of the importance of using drama to increase their learners’ motivation in speaking skills and initiate clubs of speaking competitions through drama.
Modelling CO2 and N2O emissions from soils in silvopastoral systems of the West African Sahelian band
Authors: Agbohessou Yélognissè , Delon Claire , Grippa Manuela , Mougin Eric , Ngom Daouda , Gaglo Espoir Koudjo , Ndiaye Ousmane , Salgado Paulo , Roupsard Olivier
Published: June 2024

Abstract. Silvopastoral systems (SPSs) have been shown to improve ecosystem resilience and provide sustainable land management solutions in the Sahel. However, accurately estimating the contribution of Sahelian ecosystems to the overall greenhouse gas (GHG) balance is a challenge, in particular regarding the magnitude of carbon dioxide (CO2) and nitrous oxide (N2O) emissions from soils. In this work, we spatialized and applied the process-based model Sahelian Transpiration Evaporation and Productivity – GENeral model of litter DEComposition – N2O (STEP–GENDEC-N2O) to investigate the magnitude and spatial and temporal patterns of herbaceous mass, as well as CO2 and N2O emissions from soil (not net emissions) in Sahelian SPSs. Our results show that over the last decade (2012–2022), there was a heterogeneous spatial distribution of herbaceous mass production and of soil CO2 and N2O emissions in Sahelian SPSs. Spatial variations in soil CO2 emissions are primarily controlled by soil carbon content, temperature, herbaceous mass, and animal load, while soil nitrogen content, soil water content, and animal load are the main factors driving the spatial variations in N2O emissions from soil. The estimated CO2 and N2O emissions from soil in Sahelian SPSs over the 2012–2022 period were equal to 58.79 ± 4.83 Tg CO2-C yr−1 (1 Tg = 1012 g) and 21.59 ± 3.91 Gg N2O-N yr−1 (1 Gg = 109 g), respectively. These values are generally lower than estimates reported in the literature for tropical areas and croplands. Furthermore, our simulations indicated a significant annual rising trend of soil CO2 and N2O emissions between 2012 and 2020 as herbaceous mass increased, making more C and N available for the nitrification, denitrification, and decomposition processes. By mapping soil CO2 and N2O emissions, we provide crucial insights into the localization of emission hotspots in Sahelian SPSs, thereby offering valuable information that can be used to devise and implement effective strategies aimed at fostering carbon sequestration in the Sahel.
Atmospheric evolution of environmentally persistent free radicals in rural North China Plain: insights into water solubility and effects on PM2.5 oxidative potential
Authors: Yang Xu , Liu Fobang , Yang Shuqi , Yang Yuling , Wang Yanan , Li Jingjing , Zhao Mingyu , Wang Zhao , Wang Kai , He Chi , Tong Haijie
Published: June 2024

Abstract. Environmentally Persistent Free Radicals (EPFRs) represent a novel class of hazardous substances, posing risks to human health and the environment. In this study, we investigated the EPFRs in ambient fine, coarse, and total suspended particulate matter (PM2.5, PM10, TSP) in rural North China Plain, where local primary emissions of EPFRs were limited. We observed that the majority of EPFRs occurred in PM2.5. Moreover, distinct seasonal patterns and higher g-factors of EPFRs were found compared to those in urban environments, suggesting unique characteristics of EPFRs in rural areas. The source apportionment analyses revealed atmospheric oxidation as the largest contributor (33.6 %) to EPFRs. A large water-soluble fraction (35.2 %) of EPFRs was determined, potentially resulting from the formation of more oxidized EPFRs through atmospheric oxidation processes during long-range/regional transport. Additionally, significant positive correlations were observed between EPFRs and the oxidative potential of water-soluble PM2.5 measured by dithiothreitol-depletion and hydroxyl-generation assays, likely attributable to the water-soluble fractions of EPFRs. Overall, our findings reveal the prevalence of water-soluble EPFRs in rural areas and underscore atmospheric oxidation processes can modify their properties, such as increasing their water solubility. This evolution may alter their roles in contributing to the oxidative potential of PM2.5 and potentially also influence their impact on climate-related cloud chemistry.
Accuracy of the scalar magnetometer aboard ESA's JUICE mission
Authors: Amtmann Christoph , Pollinger Andreas , Ellmeier Michaela , Dougherty Michele , Brown Patrick , Lammegger Roland , Betzler Alexander , Agú Martín , Hagen Christian , Jernej Irmgard , Wilfinger Josef , Baughen Richard , Strickland Alex , Magnes Werner
Published: June 2024

Abstract. This paper discusses the accuracy of the scalar Coupled Dark State Magnetometer on board the Jupiter Icy Moons Explorer (JUICE) mission of the European Space Agency (ESA). The scalar magnetometer, referred to as MAGSCA, is part of the J-MAG instrument. MAGSCA is an optical omnidirectional scalar magnetometer based on coherent population trapping, a quantum interference effect, within the hyperfine manifold of the 87Rb D1 line. The measurement principle is only based on natural constants; therefore, it is in principle drift-free, and no calibration is required. However, the technical realisation can influence the measurement accuracy. The most dominating effects are heading characteristics, which are deviations of the magnetic field strength measurements from the ambient magnetic field strength. These deviations are a function of the angle between the sensor axis and the magnetic field vector and are an intrinsic physical property of the measurement principle of the magnetometer. The verification of the accuracy of the instrument is required to ensure its compliance with the performance requirement of 0.2 nT (1σ) with a data rate of 1 Hz. The verification is carried out with four dedicated sensor orientations in a Merritt coil system, which is located in the geomagnetic Conrad Observatory (COBS). The coil system is used to compensate the Earth's magnetic field and to apply appropriate test fields to the sensor. This paper presents a novel method to separate the heading characteristics of the instrument from residual (offset) fields within the coil system by fitting a mathematical model to the measured data and by the successful verification of the MAGSCA performance requirement.
Incorporating Oxygen Isotopes of Oxidized Reactive Nitrogen in the Regional Atmospheric Chemistry Mechanism, version 2 (ICOIN-RACM2)
Authors: Walters Wendell W. , Takeuchi Masayuki , Ng Nga L. , Hastings Meredith G.
Published: June 2024

Abstract. The oxygen isotope anomaly (Δ17O = δ17O − 0.52 × δ18O > 0) has proven to be a robust tool for probing photochemical cycling and atmospheric formation pathways of oxidized reactive nitrogen (NOy). Several studies have developed modeling techniques to implicitly model Δ17O of NOy molecules based on numerous assumptions that may not always be valid. Thus, these models may be oversimplified and limit our ability to compare model Δ17O values of NOy with observations. In this work, we introduce a novel method for explicitly tracking Δ17O transfer and propagation into NOy and odd oxygen (Ox), integrated into the Regional Atmospheric Chemistry Mechanism, version 2 (RACM2). Termed ICOIN-RACM2 (InCorporating Oxygen Isotopes of NOy in RACM2), this new model includes the addition of 55 new species and 729 replicate reactions to represent the propagation of Δ17O derived from O3 into NOy and Ox. Employing this mechanism within a box model, we simulate Δ17O for various NOy and Ox molecules for chamber experiments with varying initial nitrogen oxides (NOx = NO + NO2) and α-pinene conditions, revealing response shifts in Δ17O linked to distinct oxidant conditions. Furthermore, diel cycles are simulated under two summertime scenarios, representative of an urban and rural site, revealing pronounced Δ17O diurnal patterns for several NOy components and substantial Δ17O differences associated with pollution levels (urban vs. rural). Overall, the proposed mechanism offers the potential to assess NOy oxidation chemistry in chamber studies and air quality campaigns through Δ17O model comparisons against observations. The integration of this mechanism into a 3-D atmospheric chemistry transport model is expected to notably enhance our capacity to model and anticipate Δ17O across landscapes, consequently refining model representations of atmospheric chemistry and tropospheric oxidation capacity.
Multivariate adjustment of drizzle bias using machine learning in European climate projections
Authors: Lazoglou Georgia , Economou Theo , Anagnostopoulou Christina , Zittis George , Tzyrkalli Anna , Georgiades Pantelis , Lelieveld Jos
Published: June 2024

Abstract. Precipitation holds significant importance as a climate parameter in various applications, including studies on the impacts of climate change. However, its simulation or projection accuracy is low, primarily due to its high stochasticity. Specifically, climate models often overestimate the frequency of light rainy days while simultaneously underestimating the total amounts of extreme observed precipitation. This phenomenon, known as “drizzle bias”, specifically refers to the model's tendency to overestimate the occurrence of light precipitation events. Consequently, even though the overall precipitation totals are generally well represented, there is often a significant bias in the number of rainy days. The present study aims to minimize the drizzle bias in model output by developing and applying two statistical approaches. In the first approach, the number of rainy days is adjusted based on the assumption that the relationship between observed and simulated rainy days remains the same in time (thresholding). In the second, a machine learning method (random forest or RF) is used for the development of a statistical model that describes the relationship between several climate (modelled) variables and the observed number of wet days. The results demonstrate that employing a multivariate approach yields results that are comparable to the conventional thresholding approach when correcting sub-periods with similar climate characteristics. However, the importance of utilizing RF becomes evident when addressing periods exhibiting extreme events, marked by a significantly distinct frequency of rainy days. These disparities are particularly pronounced when considering higher temporal resolutions. Both methods are illustrated on data from three EURO-CORDEX climate models. The two approaches are trained during a calibration period, and they are applied for the selected evaluation period.
Derechos y mecanismos de protección frente al Estado de pueblos indígenas en aislamiento voluntario en América Latina. Caso "Tagaeri y Taromenane vs. Ecuador" ante la Corte Interamericana de Derechos Humanos
Authors: Angeles-Hernandez Elias , Hernández César Xavier Lohengrin , Rodríguez Navarro Carolina
Published: June 2024

El objetivo de este trabajo es explorar el estado actual de la situación jurídica de pueblos indígenas en aislamiento voluntario (PIAV) en América Latina, así como examinar el procedimiento por el cual la Comisión Interamericana de Derechos Humanos interpretó y aplicó el principio de autodeterminación en un caso específico, y a partir de ahí, someterlo a la jurisdicción de la Corte Interamericana de Derechos Humanos. Partiendo de un esbozo de la condición histórica de estos pueblos, se presenta un panorama general de los principales aspectos que, hoy día, definen el ejercicio y defensa de derechos de los PIAV ante acciones en perjuicio de sus tierras y forma de vida, por parte de los Estados. Acudiendo, para ello, al caso “Tagaeri y Taromenane vs. Ecuador”, cuyo Informe de Fondo de la Comisión Interamericana de Derechos Humanos, sentó un precedente en favor del reconocimiento jurídico de las reivindicaciones de pueblos indígenas.
Making Sense of Writing: Infants’ Experiences in a Multilingual Day Care Centers in Luxembourg
Authors:   Department of Humanities, University of Luxembourg, Luxembourg, Kirsch Claudine , Kemp Valérie
Published: June 2024

Literacy holds a privileged place in early childhood education (ECE) as preliteracy skills are strong predictors of literacy skills which, in turn, influence academic achievement. To develop literacy, children need rich, meaningful, and varied print experiences at home and in ECE institutions. To this effect, ECE professionals have been shown to offer children opportunities to work on their oral skills, alphabet knowledge, print awareness, and phonological awareness. While some studies have investigated early reading experiences, fewer studies have reported on young children’s writing experiences and literacy experiences in multiple languages. The present chapter from the project Collaboration with parents and multiliteracies in ECE presents the print experiences of emergent multilingual three-year-olds in three day care centers in Luxembourg. Our observations over the academic year 2020/21 showed that the educators provided children with literacy experiences in multiple languages, but that the space given to writing as well as the types of activities differed significantly across the settings. This was largely due to the differing approaches to literacy (social practice and autonomous model) and different underlying learning theories (social constructivist, behaviorist, maturationist). As a result, some children learned to make meaning of signs and express themselves in new ways in naturally occurring situations with the support of adults, while others learned about letter-sound correspondences in more technical ways which seemed removed from their experiences. The chapter concludes with a call for a social practice view of literacy in ECE settings. Keywords: literacy, multilingualism, non-formal education
Theoretical Assessment on Shape-Dependent Optical Properties of Gold Nanostructures
Authors: Majid Abdul
Published: June 2024

In the current work, detailed investigations on shape-dependent optical properties of gold nanostructures are carried out using the finite element method. The key objective of the work was to explore the optical response of differently shaped gold nanostructures. Five differently shaped gold nanostructures i.e. nanopyramid, nanocylinder, nanocone, nanosphere, and nanocube were considered to study the optical properties including skin depth, relative permittivity, refractive index, absorption cross-section, and extinction cross-section. The optical properties of gold appeared to depend on the shapes of nanostructures. The nanostructures with sharp apexes exhibit more skin depth in contrary
to those having smooth surfaces. The surface Plasmon resonance (SPR) for the nanostructures was found maximum at 540 nm throughout the calculated range of wavelengths and the intensity of all the curves depends on the shape of the nanostructure.
Analysis of Machine Learning Approaches for DNA Sequencing and Classification: An optimized Approach
Authors: Bhushan Bawankar
Published: June 2024

DNA sequencing is essential to contemporary research. It facilitates the advancement of many fields, including phylogenetics, genetics, and meta-genetics. DNA strands must be extracted and read in order to perform DNA sequencing. In order to improve prediction for DNA research and obtain the most accurate results, this research paper compares DNA sequencing using machine learning algorithms. It also aims to efficiently classify DNA sequences according to their features, improving the efficiency and accuracy of DNA sequence classification. The efficiency of various methods is evaluated and contrasted in the study using important metrics like as F1-score, accuracy, precision, and recall. The results indicated that for the human DNA sequence, the Random Forest approach provided the best accuracy of 0.9292 and F1-score of 0.930, while the Genetic algorithm produced higher accuracy of 0.91 and F1-score of 0.913. The potential advancement of genomics research, customized medicine, and various scientific applications that rely on precise classification of DNA sequences is presented by the combination of machine learning and DNA sequencing.
THE EFFECT OF DIGITAL GAME ADDICTION ON AGGRESSION IN SCHOOLAGE CHILDREN
Authors: Köse Semra , Ayran Gülsün , Aslan İlyas
Published: June 2024

Objective: This study was conducted to determine the impact of digital game addiction on aggression in school-age children.
Method: This descriptive and cross-sectional study was conducted in January-June 2023 with children aged 10-11 years studying in secondary schools in Batman. The study was completed with 300 children who met the research criteria. Data were collected by distributing the questionnaire form, Digital Game Addiction Scale for Children and Aggression Scale to the children whose parental consent was obtained in a time period that would not disrupt the class hours. In the evaluation of the data; percentages, averages, t test, Anova, Bonferonni, Pearson Correlation analyzes were used.
Results: It was determined that 52% of the students participating in the study were male and 57.3% were 11 years old. The digital game addictions and aggression of male students, those whose mothers and fathers are civil servants, those who have a tablet/computer/phone, those who play games for 4 hours or more a day with a tablet/computer/phone, and those who mostly prefer computers to play games are statistically significant. There was a significant positive correlation between children's digital game addiction and aggression (p<0.05).
Conclusion: It was determined that as students' digital game addiction levels increased, their aggression levels increased. In addition, as the daily playing time of the students increased, their digital game addiction and aggression levels also increased.
The Risks and Rewards of African Entrepreneurship: Overcoming Africa’s Challenging Landscape
Authors: Obi Ike Onyema , Harris Drew
Published: June 2024

A conversation between **Drew Harris**, The Emergent Entrepreneur Collection Editor at Lived Places Publishing and **Ike Onyema Obi**, author of [*A West African Entrepreneur's Challenging Path to Financial Freedom: For Future and Family*](https://livedplacespublishing.com/book/isbn/9781916704701?utm_source=MB utm_medium=cassyni utm_campaign=emergent-entrepreneur utm_content=Obi). Ike is a Nigerian entrepreneur whose path to business success reflects the challenges many emergent entrepreneurs face. Ike has mastered being agile and resilient in an African context - taking risks and seizing opportunities, filling knowledge voids by learning persistently, and shaping his networks to help grow his businesses.
基於人機協作的混合實境迭代設計暨機械手臂輔助建造之模式研究
Authors: 沈揚庭 沈揚庭 , Yang-Ting Shen 許家碩
Published: June 2024

本研究提出一種基於人機協作的混合實境迭代設計暨機械手臂輔助建造之模式，希冀透過混合實境全尺度設計與機械手臂輔助製造兩者的實時交替迴圈，實現從設計到建造一體化的流程革新。本研究發展出「機器人協作系統」(ROCOS)的人機協作系統。ROCOS允許設計者在混合實境的環境下，以沉浸式的設計界面進行可累加的迭代設計模擬，並同步由實體的機械手臂進行組裝建造，實現設計者與機械手臂的交替設計建造循環。ROCOS所遵循的模式由三個關鍵部分組成: 1.實虛參照、2.迭代設計、3.協作建造。。首先是實虛參照的介面，該介面提供設計者一個沉浸式的混合實境環境。設計者可以在裡面進行全尺度的環境放樣、空間條件設定、以及設計模擬。在混合實境所建構的參考空間輔助下，設計者便能夠進行全尺度的設計模擬。在第二部分迭代設計，本研究提供條狀編織的迭代設計工具。設計者可以透過混合實境眼鏡與手把，以畫出複數條線條的方式模擬條狀單元彼此間的搭接與編織，直到最後構成一個複雜的條狀構造物。在第三部分的協作建造，每當設計者完成一筆的條狀單元設計模擬，ROCOS便會立即地將其長短、位置、方向等建築資訊模型要素抽出，透過KUKA|PRC轉化成機械手臂的組裝路徑(HRL作動控制檔)，進而驅動實體機械手臂進行實時的組裝，達成虛擬設計模擬與實體組裝建造的交替迴圈。This research proposes a model for mixed reality (MR) iterative design and robot-assisted build based on human-robot collaboration. The aim is to achievean integrated process innovation from design to build through the real-time alternating loop between MR full-scale design and robot-assisted manufacturing. The research develops a human-robot collaboration system called Robot Collaboration System (ROCOS). ROCOS allows a designer to engage in accumulative iterative design simulations through an immersive design interface in a MR environment, while synchronously assembling and constructing by a physical robotic arm. It realizes an alternating design and build loop between the designer and the robotic arm. ROCOS consists of three key parts: 1. MR interface, 2. Iterative design simulation, and 3. Collaborative construction. Firstly, the MR interface provides adesigner with an immersive environment where he can conduct full-scale environment layout, spatial condition setting, and design simulation. With the assistance of reference space built in MR, adesigner can carry out full-scale design simulations. In the iterative design part, ROCOS provides a wooden strip-weaving iterative design tool. A designer can simulate the interlocking and weaving of strip units with multiple lines drawn through the MR glasses and handgrips until a complex strip structure is formed. In the third part, collaborative construction, whenever a designer completes the design simulation of a strip unit, ROCOS immediately extracts its BIMinformationincluding length, position, and orientation, and uses KUKA|PRC to convert them into robotic arm assembly pathsin HRL format. Then the HRL file can drive the physical robotic arm to perform real-time assembly. This achieves an alternating loop between virtual design simulation and physical assembly construction.
Pengabdian Masyarakat Pelatihan Pembuatan Secara Online Dan Pembagian Sabun Kopi Dan Hand sanitizer
Authors: Wildan Achmad , Prasetyaningrum Erna , Verdia M. Erlita , Suharsanti Ririn , Sebtiana Rika
Published: June 2024

Indonesia merupakan Negara yang memiliki banyak kekayaan bahan alam berupa flora dan fauna. Obatyang berasal dari sumber bahan alam khususnya tanaman telah memperlihatkan peranannya dalampenyelenggaraan upaya-upaya kesehatan masyarakat. Desa Kertosari Kabupaten Kendal adalah salah satu kotapenghasil kopi di Jawa Tengah. Pemanfaatan budi daya kopi disana hanya sebatas untuk pembuatan minuman.Kafein merupakan salah satu kandungan yang ada didalam kopi. Kafein merupakan senyawa alkaloid yangtermasuk jenis metilxanthine. Salah satu kandungan lain dari kopi adalah Klorogenik, dimana memiliki manfaatsebagai antioksidan. Sehingga kopi bisa dimanfaatkan untuk pembersih tubuh dengan bentuk sediaan Sabun.Sabun merupakan sediaan kosmetik perawatan kulit tubuh yang diaplikasikan ke tubuh untuk mengikat kotoranyang menempel pada tubuh, selain itu juga untuk mempercantik kulit seperti memperhalus kulit. MetodePengabdian yang digunakan adalah pelatihan secara daring melalui aplikasi Whatapps Groups (grup WA) danpembagian produk yang sudah jadi yang dibuat oleh group pengabdian. Proses pelatihan dilakukan melaluibeberapa tahap antara lain perkenalan tim pengabdian, dilanjutkan share video pembuatan sabun kopi danhandsanitizer, pemberian materi, tanya jawab dan penutup. Jalannya pelatihan secara online berlangsung baik,pemateri menyampaikan materi secara singkat namun mudah dipahami oleh para peserta pelatihan online, danpeserta aktif bertanya mengenai materi yang disampaikan.
Various diseases in the maxillo-facial region. methods of their diagnosis and treatment
Authors: Rusu-Radzichevici Natalia , Radzichevici Mihail , Ignatiev Vitalina
Published: June 2024

Introduction: Various diseases are found in the maxillofacial region: inflammatory processes, trauma, tumors, and aesthetic disorders. Each of these diseases requires a careful and individualized approach for diagnosis and their treatment. Materials and Methods: Clinical cases with various diseases in maxillofacial region were studied on the basis of the department of oral and maxillo-facial surgery and oral implantology „Arsenie Guțan’’ Results: In the maxillofacial region there are diseases with different etiologies. One of them, which are most often diagnosed is inflammatory processes, namely toxic osteomyelitis on the background of narcotic drugs use. Diagnosis of this disease is revealed against the background of a thorough collection of anamnesis, paraclinical methods of examination: laboratory tests, orthopantomography, CT. Treatment was medication and surgery (necrectomy, plasty of the post on the upper jaw, osteosynthesis on the lower jaw). In the maxillofacial region the following types of traumas are most often encountered: fractures of facial bones, soft tissue traumas of various etiologies, of which a special approach is required for long-standing traumas, which for various reasons could not be eliminated by surgical methods (severe neurological condition of patients after various traumas). Complex clinical cases include burns in the face and neck region with skin and muscle lesions. Scar tissue after burns requires careful medical preparation before surgical treatment: gradual introduction of hormonal drugs and enzymes into the scar tissue to soften them, prescription of various physical procedures. In burns in the facial area is particularly difficult to perform surgical treatment, each incision must be carefully considered to improve the patient’s appearance (elimination of microstoma, lengthening of scars by moving the triangular flaps, mechanical dermatosis, plasty with nearby flaps, and in some cases from distant areas). It is difficult to work with scars in the neck area especially in patients of young age, as the neck is very mobile and the skin at this age is elastic, which greatly affects the process of aesthetic scar formation. In some cases, surgical treatment leads to worse results: the formation of hypertrophic scars, divergence of the wound edges. In such cases, it is best to carry out medical treatment and physical procedures. In the maxillofacial region, a special approach requires treatment of tumors, given that in this area are a large number of nerves and vessels that can be damaged. In case of injury to the facial nerve during interventions in the parotid gland, immediate treatment by a neurologist is recommended; vitamin therapy and acupuncture are most effective in these cases. Conclusions: All diseases in the maxillofacial region require a careful approach to diagnostic methods and treatment techniques, as well as an excellent knowledge of the location of vessels and nerves in the area.
Growth and Yield Dynamics of Rainfed Rice Fields by Providing Municipal Solid Waste Compost
Authors: Novita Aisar , Harahap Fitra Syawal , Ritonga Zuriani , Triyanti Vitri Renny , Mariana Merlyn
Published: June 2024

The rice productivity in Panai Tengah was still relatively low, producing 4.75 Mg ha-1, compared to the national production of 5 to 6 Mg ha-1. Low rice productivity was caused by limiting factors in land use, namely, physical and biological factors, soil chemistry, and agricultural systems. Providing organic fertilizer or municipal waste compost is one way to overcome the constraints on the soil’s physical, biological, and chemical characteristics. This study aims to determine the response to the growth and yield of rainfed rice fields in Kecamatan Panai Tengah with a dose of Municipal Solid Waste Compost (MSWC). This research was conducted by taking soil samples in the rainfed rice fields and then analyzing them in the experimental field at the Faculty of Science and Technology, Labuhanbatu University. The analysis stage was for six months, from seeding to harvesting. The methodology for this study was a non-factorial randomized block design consisting of 7 treatments. The result showed that applying MSWC at a dose of 18 Mg ha-1 showed high yields. The recommendation to farmers was to give 18 Mg ha-1 of MSWC to increase the yields of their rice fields.
Savunma Tedarik Sürecinde Entegre Proje Ekiplerinin (EPE) Rolü: Türkiye İçin Bir Model Önerisi
Authors: Aladağlı Buse , Beğenirbaş Memduh
Published: June 2024

Günümüzde savunma yönetimi anlayışı içerisinde küçük birliklerle, hızlı, performansı yüksek ve düşük maliyetli sonuçlar elde edebilmek hedeflenmektedir. Bu hedefleri gerçekleştirebilmek için savunma tedarik stratejilerinin geliştirilmesi kapsamında Entegre Proje Ekipleri’nin (EPE ) kullanımı daha da önemli hale gelmiştir. Çalışmanın amacı; savunma tedarik projelerinin belirli kriterler içerisinde hedeflere uygun bir şekilde ulaştırılabilmesi için özellikle savunma alanında gelişmiş ülkelerde uygulanan EPE’lerin savunma tedarik süreci boyunca kullanılabilmesi ve bu sayede iş birliğinin arttırılarak tedarik sistemimizin geliştirilmesidir. Bu amaç doğrultusunda savunma tedarik sürecine EPE’’ler eklendiğinde tedarik makamları ve uzman kişiler bir araya getirilerek tedarik sürecinde bütünlük sağlanacağı ve bu sayede zaman ile maliyetten tasarruf edilirken etkinlik ve verimliliğin de arttırılacağı öngörülmektedir. Araştırmada nitel araştırma yöntemlerinden olan yarı yapılandırılmış görüşme yöntemi kullanılmıştır. Kaynak taraması sonucunda oluşturulmuş olan görüşme formu biri demografik olmak üzere toplam 14 sorudan oluşmaktadır. Araştırmanın evrenini ülkemizde bulunan savunma tedarik sistemi içerisinde çalışan uzmanlar oluşturmakta iken örneklemi amaçlı örnekleme yöntemi kullanılarak Savunma Sanayii Başkanlığı ve Millî Savunma Bakanlığında tedarik birimlerinde çalışan uzmanlar olarak belirlenmiştir. Savunma Sanayii Başkanlığında dört, Millî Savunma Bakanlığında dört olmak üzere toplam sekiz uzmanla yüz yüze görüşme gerçekleştirilmiştir. Verilen cevaplar doğrultusunda içerik analizi yapılarak bir kod listesi oluşturulmuş ve benzer kodlar bir araya getirilerek kategoriler elde edilmiştir. Bu kapsamda Türkiye’de savunma tedarikinin amacı ve önemi, savunma tedarik sürecindeki aksaklıklar, EPE’ler hakkında savunma tedariki çalışanlarının sahip olduğu bilgiler, EPE’lerin savunma tedarik sistemi içerisine dâhil edilmesi ile elde edilebilecek faydalar ve EPE’lerin yapılanmasına yönelik öneriler ile ilgili olarak elde edilen veriler doğrultusunda savunma tedarik sistemimiz için yeni bir model önerisi sunulmuştur.
Analysis of the Principle, Facility and State-of-art Observations of Gravitational Wave
Authors: Liu Nayan
Published: June 2024

Gravitational wave astronomy has emerged as a transformative field, allowing to directly observe ripples in spacetime caused by massive cosmic events. This study provides a comprehensive overview of gravitational wave detection principles, facilities, recent observations, and their significance. Recent years have witnessed remarkable progress in gravitational wave astronomy. Notable detections include binary black hole mergers like GW150914 and GW170104, the historic binary neutron star merger GW170817, and the first direct observation of continuous gravitational waves from PSR J1935+2154. These observations have not only validated Einstein's theory of general relativity but have also provided unique insights into the extreme phenomena shaping the universe. The importance of this research rests in its capacity to deepen the comprehension of astrophysics and fundamental physics. The discovery of gravitational waves sheds light on the properties of matter and spacetime under the most extreme circumstances by confirming the existence of black holes, neutron stars, and their interactions. Additionally, by integrating electromagnetic observations with gravitational wave data, the multimessenger method, as demonstrated by GW170817, has created new opportunities for astronomical research. Future gravitational wave observations are expected to yield even more significant findings that will deepen the understanding of the universe's unsolved riddles.
Optimization Design of Tower Solar Heliostat Field Layout of Based on Wheatfield-PSO Model
Authors: Xiao Yundi , Xie Dun , Chai Kexiang
Published: June 2024

The heliostat field is an important subsystem of the tower solar thermal power station, and the optimal layout of the heliostat field is one of the key issues to be solved in the early stage of the construction of the tower solar thermal power station. Aiming at the optimization of heliostat field layout and related parameters in tower solar thermal power station, this paper presents a heliostat field layout method based on Wheatfield-PSO model, taking the product of the comprehensive optical efficiency of the mirror field and the land coverage of the mirror field as the optimization objective. Based on the basic parameters of heliostat field in Gansu, China, the Reverse Projection Box Counting Model is innovatively established in this paper to calculate each optical efficiency simply and efficiently. Considering the important influence of heliostat size on system performance, this paper sets the size and mounting height of each heliostat to be the same, and seeks other design parameters under this premise. By introducing the optimization design method of the mirror field of the Wheatfield tower solar thermoelectric system, and using the PSO algorithm to solve it, the optimal parameter combination is found to make the annual average output power per unit mirror area reach the maximum value, and the heliostat mirror field layout is designed.
Mathematical Modeling of Scoring Rates in Tennis Matches
Authors: Li Yawen
Published: June 2024

This paper delves into the profound implications of scoring rates in tennis matches through the application of mathematical modeling. By gathering data from diverse sources, it thoroughly scrutinizes the intricate interplay between scoring rates, including first-serve percentage, second-serve percentage, and double faults, and their effects on match outcomes. The study uncovers striking performance differentials among top-tier players. Notably, the analysis reveals that first-serve percentage exhibits a relatively weak correlation with overall match performance. Conversely, the percentage of first-serve points won significantly and positively influences match outcomes, highlighting its pivotal role. Conversely, higher percentages of second-serve points won and an increased incidence of double faults are associated with decreased success rates in matches. Through the utilization of a multiple linear regression model, this research can elucidate 46% of the variance in match outcomes, underscoring the model's substantive value. The implications of this study extend far and wide within the tennis community, enriching our comprehension of the intricate dynamics of player performance, strategic decision-making, and the practical applications of sports science. The integration of mathematical modeling into tennis promises to be a transformative force, with the potential to reshape the way to understand and practice the sport at all levels, paving the way for future research and advancements in the field.
Marketing Strategy Optimization: A Case Study Based on SARIMA And Genetic Algorithm
Authors: Li Kaiyuan , Bao Jingyang , Yang Minyue
Published: June 2024

As societal living standard elevates, a heightened demand for enhanced quality of life, food quality, and freshness is emerging. In the fiercely competitive market economy, businesses are motivated to devise sensible pricing strategies and optimize their replenishment methods to maximize profits. In pursuit of profit maximization, this paper proposes a novel fusion optimizing-forecasting model based on SARIMA and a Genetic Algorithm for determining the optimal daily replenishment volume and pricing strategy in two steps: considering vegetable categories and considering vegetable items. In the case of vegetable sales volume forecasting and sales strategies, the applied model produces a 7-day prediction of sales volumes and the recommended pricing strategy selecting 27 products, resulting in a maximum profit of 1243.9 yuan. The outcome holds considerable significance for supermarkets in formulating profit-driven pricing strategies.