bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of asset quality, rentability, and liquidity on the book value of bank companies listed on the idx in 2015-2020
Authors: Tjahjadi Effendi , Sitorus Riris Rotua
Published: October 2024

PBV is an important spotlight for investors to find out the book value of a company which can provide an overview of the value of shares per share. The purpose of this study is to measure how strong the impact of asset quality, profitability, and liquidity is on a company's book value. This research is conducted quantitatively and utilizes secondary data from the bank's annual report. The sample data that met the requirements to be processed were 23 banks for a period of 6 years to become 138 sample data. The results of the data test show that NPL, ROE, ROA, OER, and LDR together have a positive significant impact on the Book Value of Shares, individually NPL has a significant positive impact, ROE has a significant positive impact, ROA has a positive and significant impact, OER has no impact and liquidity has a significant positive impact on the Book Value of Shares. Asset quality, profitability and liquidity scores are indicators of financial performance that can be used by fund owners to determine the condition of a bank's financial health when investing in banking stocks based on the right decisions. Every banking organization should improve its financial performance to achieve Bank Indonesia-regulated bank soundness.
E-module innovation: a product-based approach to database practicum
Authors: Ermiyati Ermiyati , Jalinus Nizwardi , Waskito Waskito , Muskhir Mukhlidi
Published: October 2024

Learning media is a crucial component in supporting the educational process. However, the practical learning process for the database subject at SMK Negeri 1 Sintuk Toboh Gadang has not fully prepared students to be independent and work-ready. This study aims to develop a product-based practicum module for the database subject, which is expected to enhance students' creativity, independence, and learning outcomes. The research method used is Research and Development (R&D) with the 4D model (define, design, develop, disseminate). Validation was conducted by media and content experts, followed by field trials involving 23 students. The research results show that the developed product-based e-module is valid with an average score of 0.85. The practicality of the module was rated very high, with a Reproducibility Coefficient of 0.98 and a Scalability Coefficient of 0.95. Its effectiveness was demonstrated through an improvement in student learning outcomes, with an N-Gain score of 0.73, categorized as high. Based on these findings, the module is considered valid, practical, and effective in improving student learning outcomes while promoting creativity and independence in database learning.
Analisis Kemampuan Literasi Sains Siswa Kelas V Pada Pembelajaran IPAS SDN 1 Jagaraga Indah
Authors: Dwiwulandari Ainurrahmi , Hakim Mansur , Hasnawati Hasnawati
Published: October 2024

Kemampuan literasi sains merupakan salah satu kemampuan yang harus dimiliki siswa dalam Pendidikan abad 21. Penelitian ini bertujuan untuk menganalisis dan mendeskripsikan kemampuan literasi sains pada aspek kompetensi sains siswa kelas V pada pembelajaran IPAS di SDN 1 Jagaraga Indah. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Subjek dalam penelitian ini adalah seluruh siswa kelas V dengan jumlah 36 siswa dan guru kelas V SDN 1 Jagaraga Indah. Teknik pengumpulan data menggunakan tes dan wawancara. Analisis data yang digunakan yakni analisis deskriptif berupa persentase dan analisis data model Miles dan Huberman. Hasil penelitian menunjukkan bahwa kemampuan literasi sains siswa kelas V SDN 1 Jagaraga Indah secara keseluruhan berada pada kategori rendah dengan persentase sebesar 47,22%, selanjutnya berada pada kategori sedang dengan persentase sebesar 38,88%, dan hanya sedikit siswa yang berada pada kategori tinggi yaitu sebesar 13,88%. Adapun hasil analisis tiap indikator diperoleh kemampuan literasi sains pada indikator mengidentifikasi isu-isu ilmiah berada pada kategori sedang, indikator menjelaskan fenomena ilmiah berada pada kategori rendah dan indikator menggunakan bukti ilmiah berada pada kategori rendah. Berdasarkan analisis data dapat disimpulkan bahwa kemampuan literasi sains siswa kelas V SDN 1 Jagaraga Indah berada pada kategori rendah.
Práticas focadas na integração de indivíduos com Transtorno do Espectro Autista (TEA)
Authors: Silva Susiane Rodrigues Lima , Guisso Luana Frigulha
Published: October 2024

A publicação é voltada para práticas focadas na integração de indivíduos com TEA nível 1 de suporte e visa oferecer um referencial teórico consolidado, bem como sugestões de atividades que possam ser aplicadas no contexto escolar, promovendo uma aprendizagem significativa e inclusiva.
Guia didático
Authors: Calvi Eloiza Ceccon , Oliveira Ivana Esteves Passos de
Published: October 2024

A publicação é o resultado da pesquisa realizada junto a professores que atuam na Educação Infantil em um Centro Municipal de Educação Infantil da Rede Municipal de Presidente Kennedy - ES e tem como escopo orientar e sugerir estratégias de leitura através da literatura infantil.
INICIATIVAS INOVADORAS NA GESTÃO PÚBLICA BRASILEIRA
Authors: Henrique Filho Paulo , Lima Lucas Alves de Oliveira , Almeida Júnior Amadeu Alves de , Branco Francisca Amália Castelo , Oliveira Geverson Oliver de Assis , Oliveira Higília de Souza Normando
Published: October 2024

Este capítulo, embasado em teorias da inovação, examina as iniciativas inovadoras
na gestão pública brasileira, destacando a importância desse fenômeno para superar
os desafios contemporâneos. Segundo Cunha e Oliveira (2017), a inovação é
essencial para a adaptação e transformação das organizações, inclusive no contexto
governamental. A partir de uma revisão da literatura nacional e internacional, com
contribuições de autores como Dias (2018) e Gallo (2019), são explorados conceitos
e modelos teóricos pertinentes à inovação na gestão pública. Além disso, por meio de
uma análise crítica do panorama da gestão pública no Brasil, baseada em estudos de
Machado e Paiva (2020), são identificadas lacunas e oportunidades para a inovação.
Ademais, são discutidas abordagens e ferramentas para promover a inovação na
gestão pública, como design thinking e laboratórios de inovação, com uma avaliação
crítica de suas potencialidades e limitações, conforme proposto por Machado e Paiva
(2020). Por fim, são discutidos os principais desafios e perspectivas futuras,
acompanhados de sugestões para políticas públicas e estratégias de fomento à
inovação, de acordo com as contribuições de Cunha e Oliveira (2017) e Dias (2018).
Este estudo contribui para a compreensão do papel da inovação na gestão pública
brasileira e sugere direções para pesquisas e ações futuras nesse campo.
O USO DA INTELIGÊNCIA ARTIFICIAL NOS PROCESSOS DE GESTÃO DO CONHECIMENTO: UMA POSSIBILIDADE REAL PARA A LOTAÇÃO DE PESSOAS NAS ORGANIZAÇÕES PÚBLICAS
Authors: Oliveira Hígila de Souza Normando , Souza Jean Patrick da Costa , Branco Francisca Amália Castelo
Published: October 2024

O uso da Inteligência Artificial (IA) é uma realidade em muitas atividades e
organizações, principalmente no mercado das empresas privadas. Apesar de ser uma
tecnologia que compõe diversas ações do dia a dia, tais como os assistentes virtuais
da Apple e da Amazon, o funcionamento do GPS, o serviço de streaming da Netflix
por meio de seu motor de recomendação, entre outros, a IA tem sua aplicabilidade
despercebida pela maioria das pessoas. No mundo corporativo, há diversas outras
possibilidades de aplicações e, neste sentido, uma das áreas em que a Inteligência
Artificial pode ser usada é no processo de lotação de pessoas nos órgãos públicos,
com o viés de reduzir os riscos de uma má escolha. Tendo como viés de pesquisa a
carreira pública, na qual a seleção de pessoal difere dos procedimentos utilizados na
iniciativa privada, este estudo tem foco em uma etapa após a seleção por meio do
concurso público, que é a escolha do setor em que o servidor será destinado,
chamado processo de lotação. Assim, por meio de revisão bibliográfica, será exposto
o conceito de Inteligência Artificial e sua importância na área de Gestão do
Conhecimento, pontuando as possibilidades de sua aplicação a fim de permitir uma
escolha mais assertiva na destinação das pessoas dentro das organizações públicas,
considerando as habilidades e competências individuais, experiências anteriores e
sua formação acadêmica, independente do cargo para o qual foi aprovado na seleção
realizada (concurso), tornando esse processo inovador no ambiente público.
ANÁLISE DAS CORRENTES RACIONALISTA E EMPIRISTA NUM EMBATE COM A SITUAÇÃO ATUAL VIVIDA DE PANDEMIA NO INÍCIO DO SÉCULO XXI
Authors: Kubeneck Taise Machado
Published: October 2024

Este artigo tem como objetivo problematizar a forma de compreender o conhecimento humano, conceituando e analisando as teorias racionalistas em contraposição ao empirismo. Para os racionalistas, todo
Variability of agricultural income for empowerment: Case of cucumber and potato leaves producers in Goréké (San Pedro – Côte d’Ivoire)
Authors: Victorine HIEN  , Moise N'guetta EHOUMAN  , Germaine Adjoua TANOH  , Souleymane DIOMANDE  , Olayossimi ADECHINA
Published: October 2024

Female entrepreneurship in rural areas in French-speaking Africa is more related to rural, processing and marketing activities. The objective of this study is to present the variability of agricultural income of female producers for their empowerment. To this end, fifty female producers from the village of Goréké were interviewed. The areas, poultry droppings + sawdust, NPK 12 22 22, masses and incomes were observed. A Principal Component Analysis showed that on a hectare of cucumber, reasonable amounts of NPK 12 22 22 (80 kg) and organic residue (6,000 kg) provided the best mass (16,000 kg). At the level of potato leaves, 1,600 kg of organic residue and 20 kg of NPK provided the best mass (1,600 kg). Furthermore, the potato leaf producer had an average income during the shortage period of 2226,642 ± 1602,093 CFA francs compared to that of cucumber which is 584,714 ± 296,718 CFA francs. On the other hand, during the abundance period, the average incomes are respectively 713,793 ± 536,983 for potato leaves and 467,771 ± 237,374 CFA francs for cucumber. This difference is explained by the higher selling price per kilogram of potato leaves. In conclusion, the potato leaf producer would be more financially independent. In perspective, training will be provided to market gardeners to optimize the masses produced by rationalizing the masses of fertilizer used for an improvement in income.
Teaching a foreign language through ICT to students with dyslexia and attention deficit hyperactivity disorder (ADHD) and the role of ICTs
Authors: Taxiarchis Vouglanis
Published: October 2024

Students with learning disabilities are a heterogeneous group and exhibit particularities in the areas of perception, language, memory, attention and concentration, metacognition, self-regulation, motivation, behavior, social skills and emotional development. It is therefore important to identify these difficulties as early as possible, so that students can be helped in time by adapting teaching to their own needs. New technologies, already promising in a variety of fields, seem to be able to be used for the necessary differentiation of teaching, materials and assessment of students with learning difficulties such as dyslexia and ADHD.
Mergers and acquisitions life cycle analysis and its impact on energy transition
Authors: Muhammad Ahsan
Published: October 2024

This paper delves into the transformative role of mergers and acquisitions (M&A) in the oil and gas industry from 1970 to 2024, spotlighting their pivotal impact on sustainability, energy transition, and decarbonization. Through a comprehensive life cycle analysis (LCA) across different eras, the study reveals how strategic M&A activities have revolutionized the industry's approach to sustainable energy practices. By facilitating diversification, fostering technological innovation, and enhancing operational efficiencies, M&As have been instrumental in driving the global shift towards a cleaner and more resilient energy future.
Leveraging lithium-ion batteries for decarbonization in the oil and gas industry
Authors: Muhammad Ahsan
Published: October 2024

The oil and gas industry is undergoing a significant transformation as it seeks to reduce its carbon footprint and transition towards more sustainable energy practices. Lithium-ion (Li-ion) batteries are playing a crucial role in this energy transition, providing reliable energy storage solutions that enhance operational efficiency, enable the integration of renewable energy sources, and reduce greenhouse gas emissions. This paper explores the application of Li-ion batteries in the oil and gas industry, presenting a life cycle analysis (LCA) methodology to evaluate their environmental impact, defining a system boundary, and offering examples of how these batteries facilitate decarbonization and the energy transition.
Sensitivity analysis on borehole effective extraction radius variation based on multiple linear regression model
Authors: Bailon Sitso Takramah  , Chunshan Zheng  , Xing Li
Published: October 2024

To investigate effects of multiple factors on effective extraction radius of gas drainage borehole, a mathematical gas-solid coupling model is developed. Impacts of original gas pressure, borehole diameter, extraction time and initial coal permeability on effective extraction radius are qualitatively studied by adopting Comsol Multiphysics analysis. Furthermore, with the effective extraction radius as index, orthogonal experimental design analysis on multiple factors’ effects is conducted. Quantitative multiple linear regression model between effective extraction radius and each influencing factor is established by using SPSS method, with fitted correlation coefficient being 0.858. Extreme difference analysis and multiple regression analysis show that the significance of factors’ effects on effective extraction radius could be ranked as (from largest to smallest): initial coal permeability, original gas pressure, borehole diameter. There is no multicollinearity. Meanwhile, the distribution of residuals is normal, indicating that the constructed multiple linear regression model has good validity and reliability, which could provide references for gas extraction borehole design and real-time optimization of gas extraction parameters.
PID-based control strategies for enhancing stability and precision in electro-hydraulic actuation systems
Authors: Trang Xuan Thi Phan  , Hong Thi Duong  , Vu Yen Thi Lu
Published: October 2024

Electro-hydraulic actuation systems are essential in industrial applications but often face challenges related to nonlinearity, leading to instability and reduced precision. This paper explores the application of Proportional-Integral-Derivative (PID) control strategies to enhance the stability and precision of these systems. A detailed system model is developed, and the PID controller is designed and tuned using optimization techniques. Simulation results demonstrate improvements in performance metrics, such as reduced overshoot, settling time, and steady-state error. The proposed control strategy is validated experimentally on a physical setup, confirming its effectiveness in real-world applications. The findings show that PID-based control significantly enhances both stability and precision in electro-hydraulic actuation systems, offering a practical solution for industrial control challenges.
Study of some physicochemical and bacteriological characteristics of drinking water in three selected rural communities in Wamba, Nasarawa State, Nigeria.
Authors: SILAS D GYAR  , BILKIS MUNIR NAGOGO
Published: October 2024

Access to safe drinking water remains a challenge in rural Nigeria. This study was carried out to determine physicochemical and bacteriological characteristics of drinking water in three rural communities in Wamba, Nasarawa State. A cross-sectional survey was conducted, 5 water samples were in respective cases collected from stream, well and borehole sources. Standard techniques were used for physicochemical analysis. Total viable counts, Total Staphylococcal counts, Total coliforms & Feacal coliforms in the samples were obtained using pour plate method, growth on Mannitol salt agar, growth on MacConkey agar and Eosin Methylene Blue agar respectively. Stream Water had higher values for physicochemical parameters. Stream water exhibited the highest bacterial counts, followed by well and borehole water. The Bacteria isolated were Escherichia coli, Staphylococcus aureus, Pseudomonas spp, Klebsiella spp, Proteus spp and Salmonella spp. The acid lability attributes of the isolates were determined using Nutrient Agar buffered with (4-(2- Hydroxyethyl)-1- piperazineethanesulfonic acid) and Lipase activity was assessed using Trypticase soy agar supplemented with 1% Tween 80. Statistical analysis was performed using SPSS-PC statistical package, with a p-value of < 0.05 it was considered statistically significant. These findings indicate contamination of drinking water sources, posing health risk to consumers and it shows the need for water treatment, monitoring & public health education in rural communities.
Understanding troll field operational practices contributing towards efficiency and sustainability
Authors: Muhammad Ahsan  , Sofia Coy
Published: October 2024

This paper explores the role of Baker Hughes in enhancing the efficiency of drilling operations at the Troll field in Norway and its contribution to the field's path toward net-zero emissions. The Troll field is a significant gas reservoir on the Norwegian Continental Shelf, crucial for Europe's energy supply. This study details the advanced drilling technologies and digital solutions provided by Baker Hughes that have optimized operations, reduced emissions, and supported the Troll field's sustainability objectives. Additionally, the paper presents a life cycle analysis (LCA) methodology to quantify the environmental impact of drilling activities, using the Troll field as a case study.
Nanoparticles based drug delivery system for cancer
Authors: Pratiksha Pawar  , Shruti Rajesh Pawar  , Omkar Vaman Rupanawar  , Suyog Chandrashekhar Rupanawar
Published: October 2024

A medication delivery system based on nanoparticles is seen to be promising for the treatment of neoplasia. It demonstrates increased efficacy by prolonging the half-lives of the drug and proteins, improving the solubility of lipophilic medicines, and allowing for the precise and controlled release of the medication into the affected area. The main benefit of medication delivery systems based on nanoparticles is the treatment of tumors. It was also mentioned that tumors can be treated through angiogenesis. Patients using traditional medication therapy for tumor surfers may experience negative side effects from the chemotherapy medicines' non-selective activity on healthy cells.
Technological transformation of transactions with the rise of FINTECH
Authors: Veera Vakkapatla
Published: October 2024

In recent years, the entire financial landscape has experienced a significant transformation due to the rise of financial technology simply called Fintech, which has redefined the transaction processes and democratized the access to financial services. This review focuses on how fintech is transforming transactions by enhancing efficiency, increasing security, providing transparency, and creating accessibility for consumers and businesses alike. Key technologies such as blockchain, artificial intelligence, smart contracts, digital wallets, and mobile applications are transforming transactions, reducing costs, and improving user experiences. The integration of fintech solutions with the above mentioned key technologies is creating a more secure and interconnected ecosystem, reshaping and transforming the transactions. This article examines the impact of fintech on customer experiences through digital platforms and real-time transactions, as well as its potential to drive innovation and promote sustainability in payment services. It explores benefits, challenges. It also discusses regulatory considerations, collaboration opportunities between traditional banks and fintech startups, and emerging banking models. Overall, the review highlights fintech's transformative potential in revolutionizing energy payments and shaping the future of transactions.
Effect of seasons on the decomposition by necrophagous insects of pig (Sus scrofa domesticus L.) carcasses exposed to the open air in the Sudano-guinean and Sub-sudanese zones of Côte d'Ivoire
Authors: Hassane DAO  , Carine Yapibié E. YAPO  , Gnanda Prisca EHOUNOU  , Kévin C. Djè TANO  , Senan SORO  , Louis R. N. ABOUA
Published: October 2024

Determining the post-mortem interval (PMI) of a corpse discovered 72 hours after death is becoming complex and imprecise in forensic medicine. It is necessary to use other investigative methods to determine the date of death. The aim of this research was to determine the impact of the seasons on the decomposition of pig corpses exposed to the open air by necrophagous insects. The research was carried out in the North (at the Botanical Garden of the Peleforo Gon Coulibaly University in Korhogo) and in the Centre (in the Bouaké region). Insects were collected directly from decomposing carcasses using a mowing net and flexible forceps for larvae and Coleoptera. Pitfall-traps were also used for collection. Diptera and Coleoptera were collected during the dry and rainy seasons in the Sudano-guinean and Sub-Sudanese zones. Chrysomya albiceps, belonging to the Calliphoridae, was the majority species. Because of its plethora of species in the two study areas, C. albiceps could be one of the main species for determining the minimum MPI in Côte d'Ivoire. Five stages of decomposition were observed in the two study zones, although a sixth stage (dry putrefaction) was observed in the Sub-sudanese zone during the harmattan period. Stratiomyidae and Piophilidae contributed to the total decomposition of carcasses during the rainy season. The Histeridae family was the richest in species. Dermestes maculatus was the richest in individuals. Carcasses in the rainy and dry seasons were respectively decomposed by an average of 97.18% in the rainy season and 84.32% in the dry season in the two study areas.
Understanding Manuscript Structures and Bindings from the Islamic Lands
Examination, Exchange and, Eventually, Progress
Authors: Scheper Karin
Published: October 2024

The Leiden collection contains nearly 7,000 Arabic manuscripts that originate from all parts of the Islamic world. The autopsy of hundreds of original manuscript structures and bindings was possible because many of the books were never much interfered with. After laying the foundation of the technical aspects of the Islamic bookbinding tradition, the focus of my study turned to more regional aspects. A sub-survey of manuscripts from Yemen – undertaken in the context of a digitisation project – illustrates how much can still be learned from previously examined items when they are re-examined in a more condensed and dedicated study.
PUBLIC SERVICE LOGIC: A SYSTEMATIC LITERATURE REVIEW AND FUTURE RESEARCH AGENDA
Authors: Pratama, S.IAN., MPA Muhammad Rizki , Ni Putu Febi Wulandari  , Anisa Maharani
Published: October 2024

Public Service Logic (PSL) has emerged as a prominent topic in contemporary discussions on the fundamentals of public service delivery, challenging the mainstream principles dominated by New Public Management (NPM). Essentially, PSL is grounded in a service-dominant approach, while NPM follows a product-dominant approach. This distinction implies that public services should focus on co-creating value rather than relying solely on one-sided product delivery. This study aims to systematically analyze the literature on PSL through a systematic literature review method. The review is crucial for understanding the dynamics and trajectory of PSL research, as well as identifying existing research gaps to inform future research agendas.
On the Issue of Unification of Legislation on Forensic Examination in the Civil and Administrative Proceedings
Authors: Andreev A. V.
Published: October 2024

The article deals with the comparative analysis of the procedure of forensic examination commissioning and carrying out in arbitration, civil and administrative legal proceedings. The author examines procedural codes regulating the expertise and identifies the differences in courts’ approaches to its commissioning and to judiciary powers, rights, and responsibilities of experts. Special attention is paid to court limitations regarding examination commissioning on its own initiative in the arbitral procedure as well as to its broader powers in civil and administrative proceedings.

The article also analyzes the need to unify the legal regulation of forensic activities, which in the author’s opinion will lead to increased predictability and transparency of legal proceedings, improve the quality of expert opinions and reduce the risk of legal errors. The author emphasizes that, despite the differences in legislation, basic principles of carrying out forensic activities remain consistent, which makes the measures on procedural norms unification not only possible, but also the necessary ones to enhance effectiveness of legal proceedings.

The paper proposes specific unification measures that will help eliminate existing legal uncertainties, improve the quality of justice, and create a more uniform judicial practice.
Application of derivative and integral terminal sliding modes in leader-follower type systems"
Authors: Kalashnikova Vasylysa
Published: October 2024

Subject matter: The study focuses on the control methods for dr20 type robot swarms, specifically on the derivative and integral terminal sliding mode control combined with a nonlinear disturbance observer. The problem of effective swarm control is highly relevant in the current conditions of automation and robotics, especially in the context of performing complex tasks in limited space and in the presence of disturbances. Goal: The development and analysis of a simulation model for the movement of a robot swarm using advanced control methods to ensure system accuracy and stability. The research aims to improve the control methods for robot swarms, enhancing their efficiency and reliability in various operational conditions. Tasks: 1) Develop a simulation model of a robot swarm in the CoppeliaSimEDU environment, considering all necessary parameters for modeling real operating conditions. 2) Implement control algorithms for the leader and followers to maintain the swarm structure and avoid collisions. 3) Conduct a series of experiments to test the effectiveness of the proposed methods, analyzing the results in terms of stability and control accuracy. Methods: Modeling in CoppeliaSimEDU, implementing control algorithms based on derivative and integral terminal sliding mode control, applying a nonlinear disturbance observer to improve system stability. The applied methods allow for the consideration of various disturbances and ensure high control accuracy. Results: he proposed control model allows achieving high following accuracy and collision avoidance even in complex conditions. Experiments have shown that the control methods ensure the stability and accuracy of the robot swarm's movement, reducing the response time to external disturbances. The research results demonstrate that the use of derivative and integral terminal sliding mode control combined with a nonlinear disturbance observer significantly enhances the efficiency of multi-robot systems. Conclusions: The use of advanced control methods significantly improves the efficiency of multi-robot systems, ensuring their reliability and accuracy in real operating conditions. The proposed methods can be applied in various fields where the coordination of a large number of robots is required, including logistics, rescue operations, and environmental monitoring.
Models of forming logistics infrastructure for complex equipment recycling
Authors: Kikot Maksym , Malieieva Julia
Published: October 2024

Subject matter: models for forming the logistics infrastructure for complex equipment recycling. The work aims to create optimization models that consider key factors in forming recycling infrastructure and combine centralized and decentralized elements to enhance the efficiency of this process. Tasks: analyze modern approaches to organizing complex equipment recycling; identify criteria and factors for optimizing recycling infrastructure; develop a multi-level recycling infrastructure; formulate optimization models for recycling infrastructure, taking into account enterprise production capacities, logistical costs, environmental impact, and other factors. Methods: a systems approach, structural modeling, optimization models. Research results: approaches to organizing recycling infrastructure were analyzed: centralized, distributed, and combined; the selection of a combined approach for creating logistics infrastructure for complex equipment recycling was justified; a structural multi-level model of recycling infrastructure was developed with a lower level (sorting enterprises), middle level (processing enterprises), and upper level (organizational management); mathematical models for optimizing recycling infrastructure were formulated, considering enterprise production capacities, logistical costs, and environmental impact. The conclusions: proposed structural multi-level model of complex equipment recycling infrastructure combines the advantages of centralized and decentralized management, ensuring flexibility, system reliability against external influences, cost minimization, and sustainable process control. The application of the developed optimization models allows for consideration of enterprise production capacities, logistical costs, environmental impact, and other factors to find the most effective configuration of recycling infrastructure. Implementation of the proposed recycling infrastructure will ensure the formation of coherent interaction between government bodies, enterprises, public organizations, and international partners.
Этический взгляд на цивилизацию: «окончательное пробуждение» необычной этики
Authors: Хэпин Фань
Published: October 2024

«Столкновение цивилизаций» в современном мире по своей сути является конфликтом цивилизационных ценностей. Невиданные за последнюю сотню лет перемены, эпидемия COVID-19 и крупные стихийные катастрофы, высокие технологии и старение населения свидетельствуют о том, что современный мир вступил в «необычные времена», столкнулся с «необычными рисками» и ожидает появления «необычной этики» в отношениях не только людей, но и человечества со Вселенной и природой. История развития человеческого общества и индивидуальной жизни показывает, что этика является основой цивилизации и историческим идеалом, но в современной цивилизации она утрачена. Перед лицом «необычных» вызовов существует настоятельная необходимость в продвижении «необычного этического сознания» и осуществлении этической революции в цивилизационных ценностях. Это означает, что человечество должно управляться «этическим мышлением», чтобы построить цивилизацию будущего и реализовать идею «сообщества единой человеческой судьбы».
Взаимодействие с многосторонними институтами международного делового сотрудничества
Authors: Михневич Сергей Владимирович , Красильников Сергей Рэмович
Published: October 2024

В статье рассматривается место многосторонних институтов международного сотрудничества в системе глобального управления, а также оцениваются существующие типы и особенности соответствующих институтов. Авторы обращают внимание на возросшую роль бизнеса в организации международного многостороннего взаимодействия, нашедшую отражение в создании специальных аутрич-форматов (групп взаимодействия) с участием бизнеса. Авторы представляют возможные стратегии использования бизнесом международных институтов для лоббирования своих интересов, а также анализируют опыт Российского союза промышленников и предпринимателей (РСПП) по продвижению интересов в рамках «Бизнеса в ОЭСР» (BIAC).
Концепция убунту как ответ африканской философии образования на вызовы глобальных изме-нений
Authors: Береговая Оксана Александровна , Ерохин Алексей Константинович
Published: October 2024

В статье представлен взгляд на кризисные явления глобализации образования, затронувшие страны Африканского континента, и поиск выхода из них. Авторы обратились к анализу концепции африканской философии убунту в контексте осмысления воздействия глобальных процессов на образование и культуру народов Африки. Цель статьи – показать гармонизирующую роль концепции убунту на африканское общество и образование. Понятие «убунту» символизирует человеческое существо, обладающее такими важными человеческими добродетелями, как гуманизм, сострадание и человечность, взаимосвязь людей в окружающей среде, бога и предков. Концепция убунту подчеркивает ценность коллективного существования в сообществе в противоположность индивидуальной ценности. В ней заключено коллективное африканское мировоззрение, основанное на солидарности (коммунитаризме), которая имеет центральное значение для выживания и оптимальной организации жизни африканских сообществ. В результате авторы пришли к выводу, что при успешном использовании убунту может стать основой для понимания опыта разнообразия и модернизации и даже помочь Африканскому континенту выйти из тени, безболезненно войти в процесс глобализации, дать достойный ответ на ее вызовы.
CLUSTER ANALYSIS OF RISK PERCEPTION TO IMPLEMENT TOURIST HEALTH SAFETY IN VIETNAM
Authors:   Industrial University of Ho Chi Minh City, Faculty of Commerce and Tourism, Ho Chi Minh City, Vietnam, NGUYEN Ninh Van , TRUONG Ngoc Thi Bich ,   Industrial University of Ho Chi Minh City, Faculty of Commerce and Tourism, Ho Chi Minh City, Vietnam
Published: October 2024

Perceived risk refers to tourists' objective assessment of the negative consequences associated with travel. The COVID-19 pandemic has significantly impacted all areas of human activity, influencing personal behavior and organizational practices. In post-COVID-19, travellers' perceptions of disease risk and behaviour have evolved. This study aimed to evaluate tourists' risk perceptions while travelling, categorizing them into distinct groups to identify differences among them. The research uses a mixed-method approach with validated surveys to measure travelers' risk perceptions via Likert scales. Data was collected from representative samples at destinations. K-means clustering identifies distinct segments, with the optimal number of clusters determined using the Elbow Method. Using cluster analysis, tourists were divided into three groups: Cluster 1 (32.18%), Cluster 2 (16.56%), and Cluster 3 (51.26%). The perceived risks were ranked in descending order as safety and hygiene risks, health risks, time risks, and emergency response support concerns. The analysis highlights that tourists prioritize safety, hygiene, health risks, and time risks when considering future travel, emphasizing the need for improved safety measures and effective tourism marketing strategies to restore traveler confidence. This study offers original insights through cluster analysis, showcasing the diverse risk perceptions among different social clusters and customer segmentation.
Over the centuries: Long-term crop selection and diversity at Freixo/Tongobriga (Northwest Iberia)
Authors: Seabra Luís , López-Dóriga Inés , Lima António , Martín-Seijo María , Almeida Rubim , Tereso João Pedro
Published: October 2024

Abstrac:
Freixo/Tongobriga (Marco de Canaveses, Northwest Portugal) is an archaeological site on a vast hill near the Tâmega and Douro rivers. It was an important Roman city, well-known for its monumental buildings (e.g. Forum, Baths). Nonetheless, excavations have shown that the area was occupied for a longer time span. In this paper, archaeobotanical results from two areas will be addressed – Wall and Housing Complex I – comprising three contexts – Wall South Section, Impluvium house and Round hut. These encompass a wide time period ranging from the Iron Age to the Late Antiquity. Results from the fruits and seeds analyses showed an assemblage dominated by cereals. The grains of broomcorn millet (Panicum miliaceum), and foxtail millet (Setaria italica) were predominant, followed by spelt (Triticum spelta). Hulled barley (Hordeum vulgare), naked wheat (Triticum aestivum/durum), rye (Secale cereale) and oat (Avena sp.) were scarce. A diverse set of fruits was collected, although in small amounts. The analysis of new and previous archaeobotanical assemblages in connection with other archaeological information and several radiocarbon determinations provided crucial information about crop selection and diversity at Freixo/Tongobriga through time.Keywords: Fruits/Seeds, Cereals, Northwest Iberia, Iron Age, Late Antiquity
Resumo:
Freixo/Tongobriga (Marco de Canaveses, Noroeste de Portugal) é um sítio arqueológico localizado numa extensa colina, próxima aos rios Tâmega e Douro. Foi uma importante cidade romana, bem conhecida pelos seus edifícios monumentais (p. ex. Fórum, Termas). Não obstante, escavações demostraram que a área foi ocupada por um período de tempo mais longo. Neste artigo serão abordados os resultados arqueobotânicos de duas áreas – Muralha e Área Habitacional I -,  compreendidas por três contextos – Tramo Sul da Muralha, Casa do Impluvium, Casa Circular. Estes abrangem um amplo período de tempo entre a Idade do Ferro e a Antiguidade Tardia. Os resultados da análise carpológica demonstraram um conjunto dominado por cereais. Os grãos de milho-miúdo (Panicum miliaceum) e de milho-painço (Setaria italica) foram predominantes, seguidos do trigo espelta (Triticum spelta). A cevada (Hordeum vulgare), o trigo de grão nu (Triticum aestivum/durum), o centeio (Secale cereale) e a aveia (Avena sp.) foram escassos. Foi recolhido um conjunto diverso de frutos, embora em pequenas quantidades. A análise de prévios e novos conjuntos arqueobotânicos, em conexão com outros dados arqueológicos e várias datações por radiocarbono, providenciaram informações cruciais sobre diversidade e seleção de cultivos em Freixo/Tongobriga ao longo do tempo.Palavras-chave: Frutos e Sementes, Cereais, Noroeste Ibérico, Idade do Ferro, Antiguidade Tardia
Prototype Motion Sensor And Automatic Locking Based On The Internet Of Things (IOT)
Authors: Choiriah Wirdah , Putra Pane Eddissyah , Roki Hardianto  , Eva Tri Ningsih
Published: October 2024

The application of IoT in remote control systems to home security is becoming a necessity. This research designed 2 parts of the application of IoT, namely the automatic locking control system and motion sensor detection. With IoT, it can help reduce the risk of laziness in households. The equipment used in the IoT circuit is the nodemcu esp8266 internet module, 5vdc relay module, electrical sockets and pitting and cellphone chargers. The way this electrical IoT works is by controlling it from a smartphone that is connected to a device using applications and the internet. With a note on the IoT tool at home, there is already a living internet network. If the internet network has a problem, the tool will not work properly. The output of this research is a Control System IoT product in the form of a prototype that can be used for the motion detection process and an IOT-based door locking system that can be controlled from a smartphone
Heredabilidad y coeficientes de variación fenotípica y genética de caracteres agronómicos en triticale (Triticosecale Wittmack)
Authors: Badiali O. J. J. , Lovey R. J. , Rolando R. O.
Published: October 2024

Se realizaron experiencias a campo para determinar los coeficientes de variación fenotípica y genética y la heredabilidad en sentido amplio de caracteres agronómicos en la descendencia de un cruzamiento entre dos triticales octoploides primarios. Los coeficientes de variación genética y fenotípica muestran la gran variabilidad existente dentro del material. Los valores más altos corresponden a espigas/planta y los más bajos a espiguillas/espiga. La H2 fue alta para altura de planta, y longitud de espigas, intermedia para macollos/planta, espiguillas/espiga, granos/espiga y fertilidad y baja para espigas/planta. Se concluye que es posible reducir con facilidad la altura de planta seleccionando genotipos de menor altura por métodos visuales. Los valores bajos de espigas por planta podrían indicar la necesidad de selección intensiva para el carácter o aplicar otros métodos de mejoramiento.
Caracterización de una microcuenca sembrada con soja de la región semiárida central de la provincia de Córdoba (Argentina)
Authors: Romero L. , Apezteguía H. , Esmoriz G. F. , Sereno R. , Aoki A. , Ateca M. , Mendoza R. , Robledo W.
Published: October 2024

El objetivo del presente trabajo es caracterizar una microcuenca agrícola en cuanto a topografía, suelo, comportamiento de la humedad edáfica y su correlación con el rendimiento del cultivo de soja. El relieve y el suelo resultaron representativos de una amplia zona con problemática erosiva similar. Los valores de humedad edáfica medidos fueron procesados mediante metodología geoestadística, lo que permitió una estimación precisa de la distribución espacial y de la lámina total de agua en el suelo. Para estimar la humedad del suelo entre fechas de muestreo, se utilizó el Balance Hidrológico Versátil, el cual se mostró adecuado para explicar el comportamiento del cultivo. Se observó una coincidencia espacial y una correlación lineal entre el rendimiento del cultivo y la humedad del suelo en los ciclos de sequía.
Measuring self-referent memory bias as marker for depression: overview, new insights, and recommendations
Authors: Duyser Fleur , van Eijndhoven Philip , Collard Rose , Vassena Eliana , Koekkoek Bauke , Tendolkar Indira , Vrijsen Janna Nonja
Published: October 2024

Negative self-referent memory bias (the preferential memory for negative self-referent information) is a well-known symptom of depression and a risk factor for its development, maintenance, and recurrence. Evidence shows its potential role as an add-on tool in clinical practice. However, an overview of the possible different outcomes is lacking and it remains unclear which self-referent memory bias measure(s) could be clinically relevant. Here, as a first step towards clinical implication, we investigate which measures best differentiate current depression status and track depressive symptom severity most closely. The total sample (N = 956) from three clinical datasets was divided into a current depression, remitted depression, and non-disordered control group. Self-referent memory bias task measures were calculated and the drift diffusion model (DDM) was applied to assess underlying components of the cognitive self-referent decision making process. Measures were compared between groups and linear regression models applied to assess their association with depressive symptom severity. The number of negative endorsed words differentiated best between depression status while a combination of the number of positive endorsed words, self-referent negative memory bias, and positive drift rate was most strongly associated with depressive symptom severity. Our results give direction to the clinical implementation of this task. Its value in assessing, monitoring, and predicting depressive state and trait in clinical settings requires further investigation.
The Social Life of Health-Promotion Messages: Alcohol Craving in Complex Information Environments
Authors: Scholz Christin , Chan Hang Yee , Hendriks Hanneke , van Reijmersdal Eva
Published: October 2024

Objective: Within complex information environments, persuasive messages are often viewed in close proximity to other relevant and possibly contradictory content. While persuasion research focuses on optimizing individual message types (e.g. anti- or pro-alcohol messages), scarce knowledge about competition between message types hinders the prediction of message effects in real-world settings. We directly compared effects of competing message types to understand relative effects and underlying mechanisms. Methods: Across three studies, English-speaking convenience samples from online panels and our University’s student pool (N=468) viewed a large sample of alcohol-related messages (N=190) of different types (pro-, anti-, andnon-alcoholic messages from professional and peer sources). Using within-subject designs, we measured the relative impact of message types on alcohol craving and mechanisms driving these effects. Results: Pro-alcohol messages were more impactful than anti-alcohol messages, especially among frequent binge drinkers. Although emotional responses and familiarity with the alcohol-related content were relevant mechanisms for both pro- and anti-alcohol message effects, both mechanisms were more strongly coupled to craving in response to pro- (vs. anti-alcohol) messages. Conclusions: Accounting for a large variety of messages, our results suggest that restricting pro-alcohol content may be more effective in reducing consumption than producing anti-alcohol content within populations represented by our English-speaking convenience samples. The findings further raise specific concerns about the effectiveness of anti-alcohol messages that target familiarity and emotional processes, especially when viewed in direct competition with pro-alcohol information. Further research on the competition between related message types is crucial to support understanding and prediction of message effectiveness.SIGNIFICANCE: We examined how health promotion (professional anti-alcohol) messages perform relative to other relevant confirmatory (peer-produced anti-alcohol messages) and contradictory (professional/peer-produced pro-alcohol) information by comparing alcohol craving across message types. Understanding competition between message types will help improve predictions of message effects in modern, diverse information environments.
A Case Report on the Management of Schizophrenia with Antipsychotic Medications
Authors: Singh Vipul
Published: October 2024

This case report describes the experience of a patient diagnosed with schizophrenia who underwent treatment with antipsychotic medications. It highlights the challenges faced during treatment and emphasizes the importance of patient-psychiatrist communication and the journey toward recovery. The report underscores the need for personalized treatment approaches in managing mental health conditions.
On Intelligence and Limits
Authors: Khan Tariq
Published: October 2024

A short informal philosophical essay proposing an algorithmic framework or a matrix of steps that define intelligence. Thus, it is argued that the human genome system (DNA) can be considered intelligent as well as gene pools of organisms in Nature. Concepts like minds, the multiverse, and even the existence of the past, are proposed as derivative of an existential algorithm of intelligence.
Social media, survey, and medical literature data reveal escalating antisemitism within the United States healthcare community
Authors: Schwartz Daniella , Leiba Rotem , Feldman Cassondra , Spence Nicole , Oratz Ruth , Wald Hedy , Roth Steven
Published: October 2024

Antisemitism has been rising for decades and worsened following the events of Oct 7, 2023. Although anecdotal evidence suggests that these trends extend into the US medical community, quantitative data have been lacking. To address this gap, we quantitated publications about antisemitism, analyzed social media posts from the accounts of 220,405 healthcare professionals, and disseminated a survey to members of Jewish medical associations. Publications and social media posts about antisemitism rose >5-fold, while posts promoting antisemitic stereotypes increased 2-4-fold. Most Jewish-identifying medical students and professionals (75.4%) reported exposure to antisemitism. Together, our results suggest that antisemitism is escalating within the US healthcare community.