bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Human-Robot Interaction through Augmented Reality: A Comprehensive Review and Framework
Authors: Subramanian Karthik , Thomas Liya , Sahin Melis , Sahin Ferat
Published: August 2024

The integration of Augmented Reality (AR) into Human-Robot Interaction (HRI) represents a significant advancement in collaborative technologies. This paper provides a comprehensive review of AR applications within HRI, emphasizing their role in enhancing collaboration, trust, and safety. By aggregating findings from numerous studies, this research highlights key challenges, including the need for improved situational awareness, enhanced safety, and more effective communication between humans and robots. A framework developed from the literature is presented, detailing the critical elements of AR necessary for advancing HRI. The framework outlines effective methods for continuously evaluating AR systems for HRI. This structured approach focuses on enhancing collaboration and safety, with a strong emphasis on integrating best practices from Human-Computer Interaction (HCI) centered around user experience and design.
Essence dynamics: Essence interactions, applications and Reality. Part I
Authors: Francis Ogaeze Onyedikachukwu
Published: August 2024

This paper delves into the intricate nature of the different essence interactions that shape our perceived reality, leveraging a blend of existing empirical data and original experiments. Through a multidisciplinary approach encompassing quantum mechanics, general physics, metaphysics, philosophy, and spiritualism, it seeks to elucidate the fundamental interplays governing phenomena such as gravity, mass, electromagnetism, force, motion, and quantum mechanics. This exploration promises a reexamination and unification of these principles, offering novel perspectives on the extraordinary phenomena that underpin our reality.

By comprehending and manipulating these interactions, the potential arises to orchestrate reality towards desired ends. This study not only unveils compelling avenues for scientific advancement but also proposes transformative technologies and concepts, including light-speed transportation, remote viewing, communication with the deceased, alchemy, and the realization of what is commonly perceived as magic. These visionary notions not only push the boundaries of current understanding but also provide a captivating glimpse into the future possibilities that may await humanity.
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review
Authors: Hao Nan , Li Yuangang , Liu Kecheng , Liu Songtao , Lu Yingzhou , Xu Bohao , Li Chenhao , Chen Jintai , Yue Ling , Fu Tianfan , Hu Xiyang , Wang Xiao , Zhao Yue
Published: August 2024

Digital twin technology, a cutting-edge approach that creates dynamic digital replicas of physical systems, is increasingly integral to various industrial applications. However, the effective deployment of digital twins often faces challenges associated with data availability, quality, and interoperability, which can impede the development and operational efficacy of these virtual counterparts. This paper presents a systematic review of the application of artificial intelligence (AI) in enhancing and managing digital twin technologies across multiple domains such as industry, healthcare, urban planning, business, education, technology, and others. It specifically examines how machine learning models, particularly neural networks and deep generative models, are being employed to optimize the creation, maintenance, and functionality of digital twins. The review explores the role of artificial intelligence in overcoming data-related limitations by providing robust, scalable data solutions for digital twins. Additionally, it addresses critical considerations of real-time data processing and system interoperability within these applications. This survey not only identifies the prevailing challenges and opportunities within this emerging field but also highlights potential future research directions that could further the integration of AI with digital twin technology. Through a detailed exploration of the intersection between AI and digital twins, this paper aims to contribute significantly to the knowledge base and encourage further innovations in this interdisciplinary area.
Environmentally-Sustainable Apparel Purchasing Behavior of Ethiopian Consumers: An Extended Model of Theory of Planned Behavior
Authors: Minbale Eyob , Bizuneh Berihun , Seife Wendosen , Mekonnen Saba , Asfaw Tinsaye , Sharew Shalemu , Getachew Lioul
Published: August 2024

Nowadays, there is an increasing concern about environmental challenges ranging from emissions to overconsumption. Most of the environmental problems today are direct consequences of human consumption. Understanding the factors that affect consumer purchasing decisions is critical to developing demand for and commitment to sustainable consumption. In this regard, this study aims to explore the environmentally sustainable consumption behavior of Ethiopian consumers by using an extended model of the theory of planned behavior. Data were collected using a self-administered questionnaire having open and closed-ended questions. A total of 523 Ethiopian consumers were selected using convenience sampling technique. Structural equation modeling with AMOS V.26.0. was applied for data analysis. The findings show that Ethiopian consumers have very low awareness about the impact of their clothing consumption and disposal. Their consideration of sustainability attributes during purchasing decisions is also low. The structural equation model analysis showed that all variables had a positive and significant effect on the dependent variables at p<0.05, except the effect of personal norms on an environmentally responsible purchasing intention. These results provide additional evidence on the role of environmental labels in purchasing sustainable apparel products. The results of the study allow a better understanding of the factors determining sustainable consumption behavior and suggest practical solutions to their producers. As theory-building activities, with implications for the conceptualization of sustainable consumption behavior are sparse in the literature, this work has also been able to detect sustainable consumption behavior trends and practices by using the availability of a sustainable apparel product and consumers price perceptions of environmentally responsible apparel as a mediating effect of intention and behavior in developing countries, particularly Ethiopia.
Evaluating Inclusion of Commercial Pistachio By-Product as Functional Ingredients in Rainbow Trout Fishmeal and Plant-Meal Based Diets
Authors: Abanikannda Mosope F. , Shiflett Mark B. , Morais Ana Rita C. , Hong Jeoungwhui , Sealey Wendy M. , Bledsoe Jacob W.
Published: August 2024

The growing demand for sustainable aquaculture requires exploring alternative protein sources for fish diets. However, some of these alternatives can have adverse health effects, prompting research into functional feed ingredients to mitigate these issues. This study investigated pistachio shell powder (PSP), a by-product rich in antioxidants, as a functional feed ingredient in rainbow trout diets. The dose-dependent effects of PSP inclusion (0%, 0.5%, 1%, 2%) on growth performance, intestinal health, and gut microbiota were assessed in fish fed either a fish meal (FM) or plant meal (PM) diet. Over a 12-week feeding period, rainbow trout fingerlings were assigned to diets incorporating varying levels of PSP in either FM or PM diets. Growth performance, intestinal morphology, gene expression, total antioxidant capacity (TAC), total phenolic compound (TPC) levels, and gut microbiota composition were evaluated. PSP at 1% significantly (P<0.05) improved weight gain and growth index in FM diets but did not affect growth in PM diets. No significant differences (P>0.05) were observed in other growth parameters, intestinal health, or oxidative stress markers, though a trend toward down-regulation of inflammatory genes was noted in PM diets at 2% PSP. PSP inclusion did not significantly alter gut microbiota alpha diversity but significantly (P<0.05) affected beta diversity in FM diets at the 0.5% level. Differential abundance analysis of gut microbiota revealed taxa-specific responses to PSP, particularly the genus Candidatus arthromitus increasing in relative abundance with PSP inclusion in both FM and PM based diets. Overall, PSP inclusion up to 2% did not elicit significant adverse effects on growth, intestinal health, or antioxidant status.
A Novel Flexible Identity-Net with Diffusion Models for Painting-Style Generation
Authors: Zhao Yifei , Liang Ziqi , Qiu Yingrui , Wang Xiaona , Yang Wanggong
Published: August 2024

Art's unique style and creativity are essential in defining a work's identity, conveying emotions, and shaping audience perception. Recent advancements in diffusion models have revolutionized art design, animation, and gaming, particularly in generating original artwork and visual identities. However, traditional creative processes face challenges such as slow innovation, high costs, and limited scalability. Consequently, deep learning has emerged as a promising solution for enhancing painting-style creative design.
In this paper, we present the Painting-Style Design Assistant Network (PDANet), a groundbreaking network architecture designed for advanced style transformation. Our work is supported by the Painting-42 dataset, a meticulously curated collection of 4,055 artworks from 42 illustrious Chinese painters, capturing the aesthetic nuances of Chinese painting and offering invaluable design references. Additionally, we introduce a lightweight Identity-Net, designed to enhance large-scale text-to-image (T2I) models by aligning internal knowledge with external control signals. This innovative Identity-Net seamlessly integrates image prompts into the U-Net encoder, enabling the generation of diverse and consistent images.
Through extensive quantitative and qualitative evaluations, our approach has demonstrated superior performance compared to existing methods, producing high-quality, versatile content with broad applicability across various creative domains. Our work not only advances the field of AI-driven art but also offers a new paradigm for the future of creative design.
Content Analysıs of Graduate Theses Made ın the Fıeld of Educatıon of the Concept of Atom ın Turkey
Authors: KAYA Ali
Published: August 2024

This study aims to conduct a content analysis of the postgraduate theses on the education of the concept of atom in Turkey from 2000 to 2023. The study utilized the document analysis method, a qualitative research design approach. The theses were obtained by conducting a search in the "Thesis Center" of the Council of Higher Education (YÖK). "Thesis Classification Form" and "Thesis Screening Form" were used as data collection tools. Content analysis was performed on 51 theses that were conducted between 2000 and 2023 and whose full versions were accessed. It was observed that the theses were conducted in 25 different universities, using more than one data collection tool and analysis method. It was determined that most of the theses were supervised by academicians having the title of Prof.Dr. It was determined that almost all of the theses were conducted in the form of research-studies, qualitative research approach was mostly used as the research method, quasi-experimental model was mostly used as the research model, and students were generally used as the sample group. The most widely used data collection tools in the theses were interviews and achievement tests, while t-tests and content analysis were used as analysis techniques. In the selection of thesis topics, the studies in which teaching methods were tried the most were conducted. It was determined that students had difficulty in understanding the concept of atom and had misconceptions.
Scalable Optical Neural Network Based on Free-Space Optics Using Lens Arrays and a Smart Pixel Light Modulator
Authors: Ju Young-Gu
Published: August 2024

We explore the integration of smart pixel light modulators (SPLMs) into bidirectional optical neural networks (BONNs), highlighting their advantages over traditional spatial light modulators (SLMs). SPLMs enhance BONN performance by enabling faster light modulation in both directions, significantly increasing the refresh rate of neural network weights to hundreds of megahertz, thus facilitating the practical implementation of the backpropagation algorithm and two-mirror-like BONN structures. The architecture of an SPLM-based BONN (SPBONN) features bidirectional modulation, simplifying hardware with electrical fan-in and fan-out. Scalability limitations of the projection system restrict input and output array sizes but achieve high throughput, up to 4.3 × 10¹⁷ MAC/s with 100 layers. Energy assessments showed that the SPLM array, despite its higher power consumption compared to the SLM array, is manageable via effective heat dissipation. Smart pixels with programmable memory in the SPBONN provide a cost-effective solution for expanding network node size and overcoming scalability limitations without the need for additional hardware.
Effectively Increase the L(+)-Isomer Proportion of Ethyl Lactate in Baijiu by Isolating and Applying L(+)-Lactic Acid-Producing Bacteria
Authors: Ren Zhiqiang , Liu Lvchang , Tang Tuoxian , Huang Keyi , Huang Zhiguo
Published: August 2024

Lactic acid (LA) is a significant byproduct in Baijiu fermentation, with both D(-)-lactic acid (D(-)-LA) and L-lactic acid (L(+)-LA) being present due to the diverse microbial metabolism involved. L(+)-LA, a key industrial raw material, is metabolizable by humans, unlike D(-)-LA. This study aims to isolate microorganisms from fermented grains that preferentially produce L(+)-LA and apply these strains to Baijiu fermentation processes. We analyzed 106 commercially available Baijiu samples, along with fermented grains, yellow water, and Baijiu samples from 10 Baijiu factories, confirming the coexistence of D(-)-LA and L(+)-LA in fermentation products. Notably, a strong correlation was found between L(+)-LA in fermented grains and L-ethyl lactate (L(+)-EL) in Baijiu. Microbial community analysis revealed that Lactobacillus and Bacillus were the dominant bacterial groups, with a succession of microbial communities throughout fermentation. Two strains, A6 and B12, identified as Bacillus licheniformis and Bacillus cereus, respectively, were isolated for their high selectivity in L(+)-LA production. Both strains demonstrated a high yield of L(+)-LA in fermentation tests. Incorporating these strains into both liquid- and solid-state fermentation systems markedly increased the proportion of L(+)-EL relative to total ethyl lactate in Baijiu. This study successfully isolated and applied L(+)-LA-producing strains to fermentation models, offering a practical strategy for increasing L(+)-LA content in Baijiu.
Thymic Peptides in Immune Reconstitution and Clinical Outcome after Allogeneic Hematopoietic Cell Transplantation
Authors: Kunstek Hannah , Kieviet Janneke , Lindemans Caroline , de Koning Coco , Nierkens Stefan
Published: August 2024

Patients with hematologic malignancies or non-malignant diseases may undergo allogeneic hematopoietic cell transplantation (HCT), which represents a potential curative treatment. However, they are still at risk of life-threatening complications, such as relapse, acute graft-versus-host disease (GvHD), and opportunistic infections. These complications are more likely if T cell reconstitution is delayed during the initial 3-4 months after HCT. Therefore, it is of clinical importance to advance early peripheral T cell expansion.The thymus is the cradle of T cell production, but it is extremely sensitive to conditioning drugs used in HCT. As a result, egress of T cells from the thymus is abrogated during the first 3-6 months after HCT. Instead, early T cell reconstitution depends on peripheral expansion of engrafted donor T cells. However, besides its established function to produce T cells, the thymus also produces thymic peptides with hormone-like activity. These molecules play an essential part in the development and nature of immune responses, and may have a role in modulating T cell expansion and function after HCT. In this review, we investigate the role of thymic peptides in shaping the dynamics of immune reconstitution early after HCT. Furthermore, we summarize current reports on clinical application of thymic peptides post-HCT and discuss their potential use in improving patient outcomes.
Immortalization of Human Primary CD8+ T cells by Inserting a Single Copy of Human Telomerase Reverse Transcriptase via CRISPR/Cas9
Authors: Zhiyong He , Cole Kenneth , He Hua-Jun
Published: August 2024

Background: Existing human cell immortalization methods made the cells obtain oncogenesis phenotype and/or caused the cells gain and/or lose chromosomes. Immortalized normal human T cells lines provide critical in vitro models for basic research and therapeutic products development.Methods: We utilized a CRISPR/Cas9 system to replace a single copy of the exon 2 of the cell cycle inhibitor gene CDKN2A (encoding p16 and p14 proteins) with a single copy of human telomerase reverse transcriptase (hTERT) to immortalize human primary CD8+ T cells (hCD8+T-TERT). By using Cas9 protein and low donor DNA copies/cell, we successfully immortalized hCD8+T cells with a single copy of hTERT transgene, which also avoided uncontrolled insertion of Cas9 gene and guide RNA vector.Results: Human primary CD8+ cells were immortalized and expanded more than 2.6 × 107 times. Characterization of the cells revealed that the immortalized CD8+ T-TERT cells retained most of the cell surface markers and normal karyotype. The CD8+ T-TERT cells also retained the dependence of IL-2 and CD3/CD28 activator for survival and expansion.Conclusion: we established a stable immortalized CD8+ T cell line that had a phenotype consistent with T cells and will be a useful research model.
Optimization of Solar-Assisted CCHP Systems: Enhancing Efficiency and Reducing Emissions through Harris Hawks-Based Mathematical Modeling
Authors: Ukaegbu Uchechi , Tartibu Lagouge , Lim C.W
Published: August 2024

The increasing demand for energy, driven by technological advances, population growth, and economic expansion, has intensified the focus on efficient energy management. Tri-generation systems, such as Combined Cooling, Heating, and Power (CCHP) systems, are of particular interest due to their efficiency and sustainability. Integrating renewable energy sources like solar power with traditional fossil fuels further optimizes CCHP systems. This study presents a novel method for enhancing CCHP system efficiency by identifying optimal design parameters and assisting decision-makers in selecting the best geometric configurations. A mathematical programming model using the Harris Hawks optimizer was developed to maximize net power and exergy efficiency while minimizing CO2 emissions in a solar-assisted CCHP system. The optimization resulted in 100 Pareto optimal solutions, offering various choices for performance improvement. This method achieved higher net power output, satisfactory exergy efficiency, and lower CO2 emissions compared to similar studies. The study shows that maximum net power and exergy efficiency, with reduced CO2 emissions, can be achieved with a system having a low compression ratio and low combustion chamber inlet temperature. The proposed approach surpassed the response surface method, achieving at least a 4.2% reduction in CO2 emissions and improved exergy values.
International Network Structures in Capsule Endoscopy Research: Co-Author Analysis from 2000 to 2023
Authors: Ogasawara Naruaki
Published: August 2024

Aim: To elucidate the international network structures and evolution of collaborations in capsule endoscopy research from 2000 to 2023 by analyzing co-authorship networks. Method: This study analyzed co-authorship patterns in capsule endoscopy research articles published from 2000 to 2023 using data from the Web of Science (WoS). I employed Python (version 3.10.5) in the PyCharm development environment (version 2022.1.3) to conduct a network analysis using social network analysis principles. The analysis included macro-level metrics (network density, clustering coefficient, components, and average path length) and micro-level metrics (degree centrality, closeness centrality, and betweenness centrality) to assess collaboration intensity, key contributors, and network cohesion. Result: The co-authorship network analysis revealed evolving collaboration patterns over three distinct periods (2000-2009, 2010-2019, and 2020-2023). Initially, the network exhibited low density and high fragmentation, with key contributors such as Guido Costamagna and Jonathan A. Leighton prominently positioned. Over time, the network expanded with increased density and clustering, though it remained fragmented. In recent years, the network showed increased cohesion with reduced components and notable contributors like Anastasios Koulaouzidis and Xavier Dray, reflecting the growing importance of international collaborations, particularly involving researchers from Japan, Italy, and Israel. Conclusion: The study highlights the dynamic nature of international collaborations in capsule endoscopy research, with increasing connectivity and influential contributors playing pivotal roles in advancing the field. These findings underscore the value of international cooperation in enhancing diagnostic and therapeutic approaches in capsule endoscopy, pointing to future opportunities for deeper collaboration and integration.
Artificial Intelligence-Driven FinTech Valuation: A Scalable Multilayer Network Approach
Authors: Moro-Visconti Roberto
Published: August 2024

The integration of Artificial Intelligence (AI) in the FinTech industry has substantially reshaped operational workflows, product innovation, and risk management, all of which influence company valuation. This study investigates the impact of AI-enhanced multilayer networks on FinTech valuation. Utilizing a novel scalable multilayer network model with AI-driven Copula Nodes, the research reveals that operational efficiency is a significant driver of market value. However, the findings emphasize the necessity of a balanced strategy that integrates AI across all operational layers, particularly in risk management and product innovation, to maximize valuation. This study offers a comprehensive framework that enhances understanding of AI’s complex role in FinTech valuation, providing critical insights for industry stakeholders.
Fish Consumption Frequency in the Adult Population in Poland
Authors: Stoś Katarzyna , Woźniak Agnieszka , Rychlik Ewa , Ołtarzewski Maciej
Published: August 2024

The aim of the study was to assess the frequency of fish consumption in Poland including sea and freshwater fish species referring to some socio-economic determinants. The frequency of consumption was assessed using Food Propensity Questionnaire data from 1489 adults (722 males, 767 females) in 2019–2020. The fish consumption frequency in Polish adults was too rare compared to the recommendations (at least twice a week). About 80% of respondents consumed fish less frequently than recommended. Sea fish were mostly consumed less than once a month (31.8%) or 1-3 times a month (30.9%). The most of subjects (44.8%) consumed freshwater fish less than once a month. It was also depended on: educational level, economic status, place of residence, declared health status, and on BMI value or BMI status. However, taking into account sex, the occurrence of these relationships was different in men and women. It seems that educational activities and dissemination of proper nutrition principles is necessary in order to increase the consumption of fish in Poland. It should be important to emphasize health benefits of fish consumption in relation to possible adverse effects of their contamination.
Nonlinear Finite Element Analysis of Bone-Implant Contact in Three Short Dental Implant Models with Varying Osseointegration Percentages
Authors: Alemayehu Dawit Bogale , Todoh Masahiro , Huang Song-Jeng
Published: August 2024

Background/Objectives: Dental implants have become a cornerstone of restorative dentistry, providing a long-lasting method for tooth replacement. The level of osseointegration has a big impact on the biomechanical stability at the bone-implant contact (BIC), which determines how long these implants will work. However, the exact consequences of changing osseointegration levels on different implant designs, especially in bones with variable densities, are not well known. Three short dental implants were tested in this study: BioMet 3iT3, Straumann® Standard Plus Short Regular Neck (SPS-RN), and Straumann® Standard Plus Short-Wide Neck (SPS-WN). 3D finite element analysis (FEA) was used to look at how well they worked biomechanically. This paper tests the implants at four stages of osseointegration: 25%, 50%, 75%, and 100% in both high-density (Bone Type III) and low-density (Bone Type IV) cancellous bone. It also created and examined realistic CAD models under static occlusal loading conditions to assess stress distribution and major strains at the bone-implant contact.; Results: The study discovered that as osteointegration increases, von Mises stress and principal strains go down significantly for all implant types. The SPS-WN implant had the lowest strain values, especially for bone with low density. These reductions demonstrate increased mechanical stability as the bone-implant inter-face becomes more capable of dispersing mechanical stresses, minimizing the potential for localized deformation and bone resorption.; Conclusions: The results highlight the importance of achieving optimum osseointegration to reduce mechanical stress and increase the lifespan of dental implants. The SPS-WN type implant performed better in biomechanical tests than the others, especially when bone conditions were not ideal. This makes it a great choice for clinical applications that need long-term implant success.
Surveillance of SARS-CoV-2 in Healthcare Workers before and after COVID-19 Vaccination: A Cohort Study in a Primary Care Unit of Brazil
Authors: Torres Ana Cláudia Pinheiro , Brito Raissa Nogueira , Araújo Wildo Navegantes de , Pedrette Priscila , Alves Daiani Cristina Cilião , Teixeira Ana Izabel Passarella , Gontijo Carolina Carvalho , Romero Gustavo Adolfo Sierra , Gurgel-Gonçalves Rodrigo , Ramalho Walter Massa
Published: August 2024

Introduction: Healthcare workers (HCW) are at higher risk of SARS-CoV-2 infection. Viral surveillance for early detection of COVID-19 is a critical strategy to understand the infection dynamics in this population and to prevent transmission. The study examines SARS-CoV-2 infection and reinfection among HCW vaccinated against COVID-19 who are employed at a primary health care unit serving a disenfranchised community of Brazil.
Methods: The study was conducted in Cidade Estrutural, Federal District of Brazil, between February and October 2021. Participants were interviewed and provided samples. A prospective open cohort study was used to analyze the frequency of SARS-CoV-2 infection and reinfection. Nasopharyngeal and peripheral blood samples were collected from workers presenting with flu-like symptoms and subjected to RT-qPCR and serological testing (IgM and IgG chemiluminescence). The frequencies of infection and reinfection (RT-qPCR positive results 90 days after the infection) were calculated along with their respective confidence intervals (95%CI).
Results: Of the 128 workers, 61 (47.65%; CI: 39.19-56.25) reported probable SARS-CoV-2 infection before vaccination. Of these, 50 (39.06%; CI: 31.04-47.71) had SARS-CoV-2 infection after vaccination, confirmed by molecular tests. Reinfection was identified in seven workers (14.00%; CI: 6.95-26.18), based on the 90-day interval between results. The serological data from the 128 workers during the cohort indicated that 68 had IgG antibodies (53.12%; CI: 44.5-61.5) and 46 had IgM antibodies (35.93%; CI: 28.14-44.54) against SARS-CoV-2. SARS-CoV-2 infection was common in community health workers (CHW, 56%), registered nurses (50%), and licensed practice nurses (33%). Following the COVID-19 vaccination, the percentage of infections among CHW decreased from 47.83% to 4.35%.
Conclusion: These results demonstrate that (i) approximately 40% of the workers were infected with SARS-CoV-2 in 2021 and (ii) reinfections confirmed by RT-qPCR occurred in 14% of the HCW after vaccination. The results provide valuable insights into the circulation of SARS-CoV-2 among HCW in a primary care unit serving a minoritized community.
Third-Order Nonlinear Semi-Canonical Functional Differential Equations: Oscillation via New Canonical Transform
Authors: Chandrasekaran E. , Chatzarakis George , Sakthivel R. , Thandapani E.
Published: August 2024

This paperfocusesontheoscillatorypropertiesofthesemi-canonicalnonlineardelaydifferential equation ofthird-order (δ2(t)(δ1(t)ζ′(t))′)′ + η(t)ζα(τ(t))= 0, t ≥ t0, under theconditions ∞t01δ2(t)dt = ∞ andZ ∞t01δ1(t)dt < ∞. Using the new canonical transform method, we transformed the studied equation into a canonical type equation and then we find the conditions for the oscillation of the studied equation from the canonical equations. The obtained results are new and complement to the existing results mentioned in the literature. Examples are provided to illustrate the importance and novelty of the main results.
PENGARUH PERENCANAAN SUKSESI DAN PELATIHAN KERJA TERHADAP KINERJA PEGAWAI DI KANTOR PERUSAHAAN UMUM DAERAH AIR MINUM TUGU TIRTA KOTA MALANG
Authors: Raharjo Iqbal Dwi , Sedyastuti Kristina , Suharso Arien Anjar Puspitosari
Published: August 2024

This study examines the phenomena that arise in Human Resource Management. This study emphasizes the use of quantitative methods by involving 166 permanent employees in the Office of PERUMDA Tugu Tirta Malang City as research subjects. Proportional Random Sampling is used for sampling with Slovin formula. Data obtained by distributing questionnaires to employees. The independent variable consists of succession planning and job training, while the dependent variable is employee performance tested using multiple linear regression analysis. From the hypothesis testing conducted, it was found that succession planning and job training have a positive and significant effect simultaneously on employee performance. Partially succession planning has a significant and positive effect on employee performance, job training has an important and positive impact on employee performance. Suggestions for further researchers other variables outside of this study should be more widely studied that can affect employee performance.
PENGARUH STRES KERJA DAN BEBAN KERJA TERHADAP KINERJA KARYAWAN PERUSAHAAN DAERAH AIR MINUM (PDAM) TUGU TIRTA KOTA MALANG
Authors: Anisiah Jumiah Ines , Sahertian Pieter , Suryaningtyas Dianawati
Published: August 2024

Riset ini harapannya ingin memahami dampak stres kerja dan beban kerja pada kinerja karyawan Perusahaan Daerah Air Minum (PDAM) Tugu Tirta Kota Malang. Dengan metode kuantitatif. Populasi pada riset ini ialah 283 tenaga kerja. Sampel digunakan pada penelitian ini adalah 74 responden. Instrumen riset ini memakai kuesioner dengan pengukuran skala likert dan analisa regresi linier berganda. Teknik sampling yang dimanfaatkan ialah proportional stratified random sampling, pengolahan data dengan software SPSS versi 25. Result riset menjelaskan stres keerja serta beban kinerja signifikan dan positif pada karyawan. stres pada kinerja secara signifikan serta positif pada kinerja karyawan. beban kerja secara siignifikan serta positif pada kinerja karyawan. Bagi penulis selanjutnya disarankan untuk mengembangkan faktor- faktor yang memperkuat dampak stres kerja serta beban kinerja yang sudah diriset.
PENGARUH PERTUMBUHAN PERUSAHAAN, PROFITABILITAS DAN UKURAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN (Studi Kasus Pada Perusahaan Food and Beverage Di Bursa Efek Indonesia Tahun 2020-2022)
Authors: Renda Nikodemus Giovanny , Asna Asna , Tyasari Irma
Published: August 2024

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana ukuran perusahaan, profitabilitas, dan tingkat pertumbuhan mempengaruhi nilainya. Metode penelitian kuantitatif digunakan dalam penelitian ini. Seluruh perusahaan yang terdaftar di BEI yang secara rutin diklasifikasikan sebagai perusahaan makanan dan minuman selama jangka waktu 2020-2022 menjadi populasi penelitian. Total ada tiga puluh perusahaan yang terwakili. Saat ini hanya terdapat 19 organisasi dari seluruh populasi yang dapat dijadikan subjek penelitian. Analisis data dilakukan dengan menggunakan analisis regresi linier berganda. Nilai perusahaan sangat dipengaruhi oleh ukuran, profitabilitas, dan tingkat pertumbuhannya, menurut hasilnya. Temuan ini diambil dari studi kasus perusahaan makanan dan minuman yang tercatat di Bursa Efek Indonesia dari tahun 2020 hingga 2022. Tidak ada korelasi langsung antara nilai perusahaan dan tingkat ekspansinya, menurut penelitian “Pertumbuhan Perusahaan dan Dampaknya Terhadap Nilai Perusahaan: Studi Kasus Perusahaan Makanan dan Minuman di Bursa Efek Indonesia Tahun 2020 hingga 2022.” Profitabilitas suatu perusahaan Studi kasus perusahaan makanan dan minuman yang diperdagangkan di Bursa Efek Indonesia antara tahun 2020 dan 2022 menunjukkan bahwa faktor ini berpengaruh signifikan terhadap nilainya. Nilai suatu perusahaan dipengaruhi secara signifikan oleh ukurannya. (Studi Kasus Pada Perusahaan Food and Beverage Di Bursa Efek Indonesia Tahun 2020-2022).
PENGARUH KUALITAS PRODUK, HARGA DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PRODUK GARNIER (Studi Kasus Pada Konsumen yang ada di Kota Malang)
Authors: Mersi Vilomena , Rusno Rusno , Suharso Arien Anjar Puspitosari
Published: August 2024

Peneliti ini bertujuan agar  memahami i peranan kualitas produk, Harga  dan Promosi pada keputusan pembelian  prodak Garnier di Kota Malang, Metode  yang digunakan adalah accidental sampling. Jenis riset ekspalanatory research dengan sumber data primer. Riset ini memakai kuantitatif, teknik pengumpulan data yang dipakai ialah angket. Populasi pada riset ini yaitu konsumen Garnier di Kota Malang dengan jumlah sampel 160 reponden. Teknik analisis data dalam riset ini yaitu memakai regresi linear berganda. Temuan riset menunjukan secara bersama-sama kualitas produk, harga dan promosi berpengaruh signifikan terhadap keputusan pembelian produk Garnier oleh konsumen di Kota Malang. Kualitas produk, harga dan promosi berdampak positif serta signifikan terhadap keputusan pembelian produk Garnier oleh konsumen di Kota Malang.
Pemanfaatan Metode Multiclass Support Vector Machine dalam Klasifikasi Penyakit Daun Kacang Tanah
Authors: Fakhrunnia Brahma Ratih Rahayu , Aziz As'ad Shidqy , Sesoca Jendra
Published: August 2024

Peanuts are one type of agricultural crop from commodity crops that can provide additional income opportunities for farmers in Indonesia. In addition, the benefits of peanuts are as a source of protein and vegetable fat for human body, so they are also much needed by the food industry. However, in increasing soil productivity there is a decrease in quality and quantity caused by one of the factors, namely plant diseases. Efforts that can be made in maintaining peanut productivity are to prevent early by applying early detection technology. This study presents the application of digital image processing application-based technology using the Multiclass SVM One-Against-One (OAO) strategy to classify the types of leaf disease of peanut plants based on texture feature extraction on the diseased parts of peanut leaves using the Gray Level Co-Occurrence Matrix (GLCM) method. In the classification process using the M-SVM method the OAO strategy will use three kernels, namely polynomial kernel, linear kernel and RBF kernels. Based on the experimental results, the best accuracy is obtained, namely by using GLCM texture feature extraction with a distance of d = 1 and angle 90 degree of and classified using the M-SVM method, the OAO strategy with polynomial kernels provides the highest accuracy results, namely 96.39% for leaf spot class, 92.79% for leaf rust class, 96.39% for eye spot class and 100% for normal class
STRENGTHENING ZAKAH COMPLIANCE AMONG INDONESIAN MUSLIMS THROUGH THE ROLE OF INSTITUTIONAL CAPABILITIES
Authors: Razak Syaparuddin , Nasuka Moh. , Syahabuddin Syahabuddin , Arsyad Kamaruddin , Darwis Muh.
Published: August 2024

This study examines the mediating role of institutional capabilities in the complex interplay between zakah regulation, leadership, and entrepreneurial competencies, aiming to understand their collective impact on the augmentation of zakah compliance. To this end, a questionnaire was distributed to 833 Indonesian Muslims who actively contribute zakat to official institutions, and the data are analyzed using partial least squares structural equation modeling. The findings underscore the pivotal role of institutional capabilities as a mediator between zakah regulation, leadership, and entrepreneurial competencies, with entrepreneurial skills exerting the most notable influence on zakah compliance. Further, perceived taqwa emerges as a robust influencer of compliance, while zakah regulation demonstrates a dual impact on both compliance and institutional capabilities. Additionally, the study advocates for prioritizing the development of entrepreneurial competencies within zakah institutions, aligning regulations with institutional growth, and nurturing perceived taqwa to fortify zakah compliance on a global scale. Departing from conventional approaches, this study adopts an innovative method by evaluating the efficacy of zakat institutions through institutional capabilities, particularly focusing on entrepreneurial competencies. The introduction of institutional capabilities as a mediating factor signifies a departure from the traditional framework, providing a novel perspective on the evaluation of resource reallocation and strategic direction.
Management of Family Education in Growing Anti-Sexual Violence Attitudes
Authors: Werdiningsih Wilis , Winursito Yekti
Published: August 2024

Sexual violence against children is a crime that must be eliminated. This sexual violence has a negative impact on both physical and psychological aspects. Children are seen from two sides, namely children with potential as perpetrators and children with potential as victims. In this regard, parents have full responsibility to ensure that their children are not perpetrators, let alone victims of sexual violence. This study aims to analyse efforts to suppress the number of sexual violence through family education management in instilling an anti-sexual violence attitude. The approach used in this research is literature study. Data were obtained from various sources from articles and relevant reference books, related to the definition of sexual violence, acts of sexual violence, impacts and efforts to prevent sexual violence and the role of parents in preventing sexual violence. These various sources were analysed as findings from writing this article, which are related to family education management in instilling an anti-sexual violence attitude. The results show that the management of family education that is carried out by parents well can encourage children to understand and have an anti-sexual violence attitude. Thus, it is hoped that in the lives of children, children are protected from being perpetrators of sexual violence and as victims. Management of education in this family can be done by example, good communication between parents and children, and the cultivation of religious knowledge.
Composition and variation of stable carbon and nitrogen isotope in south-western Tibetan Plateau
Authors: Qu Songbo , Xu-Ri Xu-Ri , Yu Jiaoneng , Shama Ribu , Lei Haojing , Tian-Liang Tian-Liang , Bayarsaikhan Sainbuyan , Jukov Azzaya , Tsendeekhuu Munkhbat , Borjigidai Almaz
Published: August 2024

Ecosystem stable isotopic values of carbon and nitrogen (δ13C and δ15N) can offer valuable insight into terrestrial ecosystem. However, the factors influencing δ13C and δ15N in alpine grasslands are not clear enough. To address this gap, we measured δ13C and δ15N for soil and Astragalus plants along an altitudinal gradient (3500 — 5000 m) in the south-western Tibetan Plateau, which was unreported by previous studies. As an ecological indicator reflecting nitrogen (N) cycling, soil δ15N values are higher than the mean value of the plateau. Soil δ13C is significantly correlated with soil carbon (C) content, C and N ratio and soil pH. Additionally, we found significant positive correlation between plant δ13C and MAT or MAP. Soil δ15N is negatively correlated with MAP but no relationship was revealed with MAT. In summary, our study highlights the importance of altitude induced MAT changes in the variation of plant δ13C and the independent control of MAP in the variation of both plant δ13C and soil δ15N.
Digit topology circles and their isomorphism identification for deriving topology graphs and creating complex closed mechanisms
Authors: Lu Yi , Lu Yang
Published: August 2024

The topology graph is an effective tool for creating various complex mechanisms and machines. However, the derivation and the isomorphism identification of the topology graphs are quite complicated because topology graphs may include (binary, ternary,...) links. A digit topology circle Cj(k)i excluding (binary, ternary) links is proposed and studied for simplifying the derivation and isomorphism identification of the topology graph. First, the conceptions of Cj(k)i are explained and their derivations are studied. Second, a method of the character strings is proposed and studied for representing Cj(k)i and reducing the isomorphism Cj(k)i, and many different Cj(k)i are represented by different digit lines and digit arcs based on the proposed method, and many different Cj(k)i are constructed. Third, a rule for identifying isomorphism Cj(k)i is discovered and proved using the connections in the digit topology circle, and some isomorphism Cj(k)i are identified from constructed different Cj(k)i. Furth, many new different Cj(k)i with the ternary link are derived by adding ternary link into Cj(k)i. Finally, a closed mechanism of 6-DOF the hybrid machine tool/hybrid grasper is created by combining 37 binary links with the new digit topology circle C3(2)10 + ternary link; two closed mechanisms of the 6-DOF leg-foot are created by combining 46 binary links with digit topology circles C26(1)i (i = 101,104), respectively.
Production of novel theranostic nano-vector based on superparamagnetic iron oxide nanoparticles/miR-497 targeting colorectal cancer
Authors: Elfiky Asmaa M. , Eid May M. , Manawaty May , Elshahid Zeinab A. , Youssef Elham Mohamed , Mahmoud Khaled
Published: August 2024

Colorectal cancer (CRC) is a serious public health concern worldwide. Immune checkpoint inhibition medication is likely to remain a crucial part of CRC clinical management. This study aims to create new super paramagnetic iron oxide nano-carrier (SPION) that can effectively transport miRNA to specific CRC cell lines. In addition, evaluate the efficiency of this nano-formulation as a therapeutic candidate for CRC.
Methods:Bioinformatics tools were used to select a promising tumor suppressormiRNA (mir-497-5p). Green route, using Fusarium oxyporium fungal species, manipulated for the synthesis of SPION@Ag@Cs nanocomposite as a carrier of miR-497-5p. That specifically targets the suppression of PD1/PDL1 and CTLA4pathways for colorectal therapy. UV/visible and FTIR spectroscopy, Zeta potential and MTT were used to confirm the allocation of the miR-497 on SPION@Ag@Cs and its cytotoxicity against CRC cell lines.
Results: Immunofluorescence was employed to confirm transfection of cells with miR-497@NPs, and the down- regulation of CTLA4 in HT29, and Caco2 cell lines. On the other hand, PDL1 showed a significant increase in colorectal cell lines (HT-29 and Caco-2) in response to mir497-5p@Nano treatment.
Conclusions: The data suggest that the mir-497 -loaded SPION@Ag@Cs nano-formultion could be a good candidate for the suppression of CTLA4in CRC human cell lines.Consequently, the targeting miR-497/ CTLA4 axis is a potential immunotherapy treatment strategy for CRC.
Reliability and Uncertainty-Aware Optimization of Capacitors and DSTATCOM Using Improved Exponential Distribution Optimizer
Authors: Alanazi Abdulaziz , Alanazi Mohana , Memon Zulfiqar Ali , Awan Ahmed Bilal , Deriche Mohamed
Published: August 2024

In this paper, the simultaneous optimization of capacitors and DSTATCOM in the radial distribution system is performed for minimizing the cost of network active losses along with the cost of installation and investment of reactive power, considering the reliability of compensators and incorporating the network load uncertainty. The decision variables include the installation location and the capacity of compensators, which is defined by a novel meta-heuristic algorithm termed the improved exponential distribution optimizer (IEDO). The conventional exponential distribution optimizer (EDO) is inspired by exponential distribution theory, which uses the spiral motion strategy in the EDO to improve optimization performance and prevent it from getting trapped in local optima. Simulation scenarios are implemented in three cases: I) capacitor optimization, II) DSTATCOM optimization, and III) simultaneous optimization of capacitor and DSTATCOM in the network without (scenario I) and considering the compensator's reliability and also the load uncertainty using the unscented transformation (scenario II). The simulation results of IEDO showed that Case III has the best performance by achieving the lowest cost, the highest percentage of net savings, and the most favorable voltage profile in comparison to other scenarios. The superiority of the IEDO has also been confirmed in contrast to widely recognized optimization methodologies. In addition, the results of Scenario II are clear: the system cost has increased by 8.76%, 8.79%, and 8.72%, and the net savings have decreased to 6.48%, 6.62%, and 6.42%, compared to Scenario I for cases I–III, respectively.