bluuebunny/crossref_metadata_2025 huggingface dataset:
Low-Carbon Optimal Configuration of Integrated Electricity and Natural Gas Energy System with Life-Cycle Carbon Emission
Authors: Han Jianpei , Du Ershun , Lv Xunyan , Hou Jinming
Published: April 2024

In response to the challenges of global warming and the development of A low-carbon economy, the integrated electricity and natural gas energy system (IEGES) is known as an important structure for future energy supply; thus, its planning and design must take low-carbon and environmental protection factors into account. Regarding carbon emissions as an optimization criterion, this paper built life-cycle carbon emission models of IEGES components. Then, taking the capacities of the energy resources, storage and conversion units of IEGES as the optimization variables, a multi-objective optimization configuration model was established considering the annual investment operation cost and the life-cycle carbon emissions. The multi-objective model was transformed into a single-objective one by an ε-constraint approach and the polynomial fitting method was employed to obtain the value of ε for obtaining uniformly distributed Pareto sets. Based on the fuzzy entropy weight method and the fuzzy affiliation degree approach, the obtained Pareto sets were ranked and the solution with the highest ranking value was selected as the optimal solution for the original problem. Finally, the configuration schemes were analyzed from the perspectives of economy, carbon emission and renewable energy utilization, and the effectiveness and rationality of the proposed optimization method were verified through MATLAB simulation.
Coping with the Inequity and Inefficiency of the H-Index: A Cross-Disciplinary Empirical Analysis
Authors: Zagonari Fabio , Foschi Paolo
Published: April 2024

This paper measures two main inefficiency features (many publications other than articles; many co-authors’ reciprocal citations) and two main inequity features (more co-authors in some disciplines; more citations for authors with more experience). It constructs a representative dataset based on a cross-disciplinary balanced sample (10,000 authors with at least one publication indexed in Scopus from 2006 to 2015). It estimates to what extent four additional improvements of the H-index as top-down regulations (∆Hh = Hh − Hh+1 from H1 = based on publications to H5 = net per-capita per-year based on articles) account for inefficiency and inequity across twenty-five disciplines and four subjects. Linear regressions and ANOVA results show that the single improvements of the H-index considerably and decreasingly explain the inefficiency and inequity features but make these vaguely comparable across disciplines and subjects, while the overall improvement of the H-index (H1–H5) marginally explains these features but make disciplines and subjects clearly comparable, to a greater extent across subjects than disciplines. Fitting a Gamma distribution to H5 for each discipline and subject by maximum likelihood shows that the estimated probability densities and the percentages of authors characterised by H5 ≥ 1 to H5 ≥ 3 are different across disciplines but similar across subjects.
Traces of Necromantic Divinatory Practices in the Picatrix
Authors: Hamvas Endre Ádám
Published: April 2024

In the famous medieval magical manual called the Picatrix, the unknown author describes the phenomenon of magic with the term nigromantia. As is well known, the original meaning of the Greek term necromantia has a more concise meaning. It is used for a special kind of divination, i.e., divination through the parts of a cadaver and the conjured spirit of the dead. Seemingly, in the Picatrix, no necromantic ritual can be found; moreover, the author stresses that his main goal is pious, i.e., to find the path leading to the ultimate source of the universe, the one and only God. In my article, I show that on some pages of the Picatrix, there are traces of divinatory practices that may be connected to the original meaning of the term nigromantia. In the third book of the manual, descriptions of some interesting rituals attributed to the pagan Sabeans of Harran and their teacher, the god Hermes can be found. During the practices, the magician involved conjured spirits of the heavenly bodies and powers as well. Because of this, by looking closely at and analyzing the given text, it is possible to piece together a complex web of necromantic and demonic divinatory rituals.
Theorising Digital Afterlife as Techno-Affective Assemblage: On Relationality, Materiality, and the Affective Potential of Data
Authors: Harju Anu A.
Published: April 2024

In the ongoing academic discussion regarding what happens to our data after we die, how our data are utilised for commercial profit-making purposes, and what kinds of death-related practices our posthumous data figure in, the notion of digital afterlife is attracting increasing attention. While the concept of digital afterlife has been approached in different ways, the main focus remains on the level of individual loss. The emphasis tends to be on the role of posthumous digital artefacts in grief practices and death-related rituals or on data management issues relating to death. Building on a socio-technical view of digital afterlife, this paper offers, as a novel contribution, an understanding of digital afterlife as a techno-affective assemblage. It argues for the necessity of examining technological and social factors as mutually shaping and brings into the discussion of digital afterlife the notions of relationality, materiality, and the affective potential of data. The paper ends with ruminations about digital afterlife as a posthumanist project.
Abuse in Chilean Trans and Non-Binary Health Care: Results from a Nationwide Survey
Authors: Roselló-Peñaloza Miguel , Julio Lukas , Álvarez-Aguado Izaskun , Farhang Maryam
Published: April 2024

Abuse in health care (AHC) is an emerging concept used to describe healthcare practices and conduct that health services users find belittling and degrading. Such experiences, whose causes are not always voluntary but systematic and structural, have been described as one of the main barriers to the trans and non-binary population’s access to health care. To study this problem in Chile, the country’s first trans and non-binary health survey was conducted between January 2021 and June 2022 with the participation of 1116 people. Univariate statistical analyses were performed to calculate the frequencies (f) and percentages (%) of the different forms of AHC reported. Chi-squared tests (p < 0.01) and the Pearson correlation coefficients (r > 0.10) were used to identify statistically significant correlations between experiences of AHC, the health personnel reportedly involved, and participants’ responses to these experiences. About 84% of the participants who replied to questions on this subject said that they had experienced some form of AHC. The most frequently reported were inappropriate use of pronouns (65.9%) and stereotypical comments about genders (48.3%). These events occurred mostly in encounters with secretaries and receptionists, followed by psychologists and nurses. The most frequent response of participants to these situations was to change the medical staff responsible for their care, followed by ceasing to seek professional attention. A mainstreamed relational gender perspective is required to address the complexity of this problem.
Evaluation of China’s Marine Aquaculture Sector’s Green Development Level Using the Super-Efficiency Slacks-Based Measure and Global Malmquist–Luenberger Index Models
Authors: Yang Deli , Wang Qionglei
Published: April 2024

Given China’s rapidly expanding marine aquaculture industry, the associated ecological issues have garnered widespread attention. Therefore, it is crucial to speed up the green growth of marine aquaculture in order to save the environment and use resources sustainably. In order to statically assess and dynamically analyze the green development efficiency levels of marine aquaculture in nine coastal provinces of China from 2012 to 2021, this study uses the non-expected output super-efficiency Slacks-Based Measure model and the Global Malmquist–Luenberger index method. Additionally, it integrates input–output redundancy rates to analyze the causes of efficiency loss. Static efficiency primarily reflects whether a region’s inputs and outputs at a given point in time reach an effective efficiency level, while the level of dynamic efficiency mainly gauges the dynamic changes in the efficiency of green production. The results show that, from 2012 to 2021, China’s marine aquaculture industry’s average static efficiency of green output was 0.705. The southern marine economic zone exhibited the highest static efficiency value in the green development of marine aquaculture, displaying a stepped distribution pattern of “south–north–east” in decreasing order. The input–output redundancy analysis reveals that the primary causes of static efficiency loss in China’s marine aquaculture industry are attributed to varying degrees of redundant inputs and carbon emission outputs. Looking through the lens of the GML index, the annual average growth rate of the green total factor productivity in China’s marine aquaculture stands at 11.1%, with an annual average change in technical efficiency of 1.8%, while the annual average change in technological progress amounts to 9.1%, suggesting that technological advancement is the primary driver of the rise in green total factor productivity in China’s marine aquaculture sector. According to the study, in order to encourage China’s marine aquaculture industry to grow sustainably, efforts should be made not only to accelerate technological advancements but also to enhance technical efficiency. Policies that are specifically designed for the local environment should be developed to support the sustainable development of the marine aquaculture sector and to make resource allocation easier.
Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review
Authors: Zulfiqar Aqsa , Manzoor Talha , Ijaz Muhammad Bilal , Nawaz Hafiza Hifza , Ahmed Fayyaz , Akhtar Saeed , Iftikhar Fatima , Nawab Yasir , Khan Muhammad Qamar , Umar Muhammad
Published: April 2024

This study explores previous research efforts concerning prediction models related to the textile and polymer industry, especially garment seam strength, emphasizing critical parameters such as stitch density, fabric GSM, thread type, thread count, stitch classes, and seam types. These parameters play a pivotal role in determining the durability and overall quality of denim jeans based on cellulosic polymer. A significant focus is dedicated to the mathematical computational models employed for predicting seam strength in five-pocket denim jeans. Herein, the discussion poses the application of AI for manufacturing industries, especially for textile and clothing sectors, and highlights the importance of using a machine learning prediction model for sewing thread consumption, seam strength analysis, and seam performance analysis. Therefore, the authors suggest the significant importance of the machine learning prediction model, as future trends anticipate advancements in AI-driven methodologies, potentially leading to high-profile predictions and superior manufacturing processes. The authors also describe the limitation of AI and address a comprehensive model of risk outlines of AI in the manufacturing-based industries, especially the garments industry. Put simply, this review serves as a bridge between the realms of AI, mathematics, and textile engineering, providing a clear understanding of how artificial-neural-network-based models will be shaping the future of seam strength prediction in the denim manufacturing landscape. This type of evolution, based on ANN, will support and enhance the accuracy and efficiency of seam strength predictions by allowing models to discern intricate patterns and relationships within vast and diverse datasets.
Prevalence of Drug-Resistant Tuberculosis in HIV-Positive and Diabetic Patients in Sinaloa, Mexico: A Retrospective Cross-Sectional Study
Authors: Aispuro Pérez Analy , Osuna-Martínez Ulises , Espinoza-Gallardo Jose Angel , Dorantes-Álvarez Luis Alfredo , Inzunza-Leyva Gerardo Kenny , Dorantes-Bernal Kimberly Estefania , Quiñonez-Bastidas Geovanna Nallely
Published: April 2024

Tuberculosis (TB) is a disease caused by the bacillus Mycobacterium tuberculosis (MTB). Human immunodeficiency virus (HIV) infection and type 2 diabetes mellitus (T2DM) are among the main risk factors for the development of TB and increase the risk of drug-resistant TB developing (DR-TB). The aim of this study was to estimate the prevalence of DR-TB in patients with HIV or T2DM in Sinaloa, Mexico. This was an observational and cross-sectional study. The analysis was conducted using the clinical data of patients registered on the National Epidemiological Surveillance System for TB (SINAVE/PUI-TB) platform with a presumed diagnosis of TB during 2019 to 2021 in Sinaloa, Mexico. The prevalence of DR-TB was estimated in HIV and T2DM patients, as well as the odds ratios for their sociodemographic variables, using the Chi-square test. There were 2, 4, and 4 TB-HIV cases and 2, 6, and 9 TB-T2DM cases during 2019, 2020, and 2021, respectively, whereas there were 2 and 1 DRTB-HIV and DRTB-T2DM cases, respectively. The results indicated that the WHO guidelines for DR-TB were not properly applied to this high-risk population. Hence, the appropriate application of guidelines for TB and DR-TB detection in these patients needs to be immediately implemented by the State health system.
Characterization and Function Analysis of miRNA Editing during Fat Deposition in Chinese Indigenous Ningxiang Pigs
Authors: Lv Jiayu , Yang Fang , Li Yiyang , Gao Ning , Zeng Qinghua , Ma Haiming , He Jun , Zhang Yuebo
Published: April 2024

This study aimed to identify active miRNA editing sites during adipose development in Ningxiang pigs and analyze their characteristics and functions. Based on small RNA-seq data from the subcutaneous adipose tissues of Ningxiang pigs at four stages—30 days (piglet), 90 days (nursery), 150 days (early fattening), and 210 days (late fattening)—we constructed a developmental map of miRNA editing in the adipose tissues of Ningxiang pigs. A total of 505 miRNA editing sites were identified using the revised pipeline, with C-to-U editing types being the most prevalent, followed by U-to-C, A-to-G, and G-to-U. Importantly, these four types of miRNA editing exhibited base preferences. The number of editing sites showed obvious differences among age groups, with the highest occurrence of miRNA editing events observed at 90 days of age and the lowest at 150 days of age. A total of nine miRNA editing sites were identified in the miRNA seed region, with significant differences in editing levels (p < 0.05) located in ssc-miR-23a, ssc-miR-27a, ssc-miR-30b-5p, ssc-miR-15a, ssc-miR-497, ssc-miR-15b, and ssc-miR-425-5p, respectively. Target gene prediction and KEGG enrichment analyses indicated that the editing of miR-497 might potentially regulate fat deposition by inhibiting adipose synthesis via influencing target binding. These results provide new insights into the regulatory mechanism of pig fat deposition.
Study on the Evolvement Trend Process of Hydrological Elements in Luanhe River Basin, China
Authors: Shan Chengju , Zhao Fuwei , Wang Yuejing , Yang Chenggang , Wei Fusen , Zhou Xueyang
Published: April 2024

Over the past 50 years, there have been significant changes in the runoff process in the Luanhe River basin, exacerbating the scarcity of water resources and their spatiotemporal variability. Therefore, conducting research on the characteristics, trends, and cycles of runoff changes in the Luanhe River basin is of great theoretical and practical significance. This study selected rainfall data from the hydrological stations in Weichang, Chengde, and Qinhuangdao in the Luanhe River basin, covering the period from 1985 to 2008, as well as runoff data from the Hanjiaying, Sandaohezi, and Chengde stations. Based on linear trend regression analysis, the Mann–Kendall rank correlation test, Spearman correlation test, Mann–Kendall method, and Mann–Whitney–Pettitt change point analysis method, this study analyzed the trends in water quantity changes and their change points in the Luanhe River basin. The results of the precipitation at the Weichang and Chengde stations show a non-significant rising trend, remaining relatively stable with slightly increases. Conversely, the precipitation of Qinhuangdao Station shows a decreasing trend over time, albeit non-significant. Considering the detailed diagnostic results from both the Mann–Kendall (M-K) and MWP methods, the change point for Weichang precipitation is identified as 2007, while for Chengde, it spans from 1999 to 2002, and for Qinhuangdao, it is around 1997. The trend of the runoff series of three stations shows a significant decreasing trend and strong significance, and the change point for the annual runoff at the Hanjiaying station and the Sandaohezi station is identified as 2006, and for the Chengde station, the primary change point is 2006, with a secondary change point around 2002. The findings of this research can provide scientific references for the rational development and utilization of regional water resources.
Deep Reinforcement Learning Lane-Changing Decision Algorithm for Intelligent Vehicles Combining LSTM Trajectory Prediction
Authors: Yang Zhengcai , Wu Zhengjun , Wang Yilin , Wu Haoran
Published: April 2024

Intelligent decisions for autonomous lane-changing in vehicles have consistently been a focal point of research in the industry. Traditional lane-changing algorithms, which rely on predefined rules, are ill-suited for the complexities and variabilities of real-world road conditions. In this study, we propose an algorithm that leverages the deep deterministic policy gradient (DDPG) reinforcement learning, integrated with a long short-term memory (LSTM) trajectory prediction model, termed as LSTM-DDPG. In the proposed LSTM-DDPG model, the LSTM state module transforms the observed values from the observation module into a state representation, which then serves as a direct input to the DDPG actor network. Meanwhile, the LSTM prediction module translates the historical trajectory coordinates of nearby vehicles into a word-embedding vector via a fully connected layer, thus providing predicted trajectory information for surrounding vehicles. This integrated LSTM approach considers the potential influence of nearby vehicles on the lane-changing decisions of the subject vehicle. Furthermore, our study emphasizes the safety, efficiency, and comfort of the lane-changing process. Accordingly, we designed a reward and penalty function for the LSTM-DDPG algorithm and determined the optimal network structure parameters. The algorithm was then tested on a simulation platform built with MATLAB/Simulink. Our findings indicate that the LSTM-DDPG model offers a more realistic representation of traffic scenarios involving vehicle interactions. When compared to the traditional DDPG algorithm, the LSTM-DDPG achieved a 7.4% increase in average single-step rewards after normalization, underscoring its superior performance in enhancing lane-changing safety and efficiency. This research provides new ideas for advanced lane-changing decisions in autonomous vehicles.
Robotic total colectomy and ileorectal anastomosis
Authors: Chua Jonathan Yu Jin , Teo Nan Zun , Ngu James Chi-Yong
Published: April 2024

The benefits of minimally invasive approaches in colorectal surgery have been well demonstrated. However, some hesitancy remains with regards to the utilization of the robotic platform for total colectomies, mostly due to the perceived need for multiple re-dockings in multiquadrant surgery. This video aims to demonstrate how the robotic platform can be efficiently utilized in multiquadrant surgery without the need for multiple re-dockings, as well as some tips on how to overcome the potential challenges that may be encountered during this procedure.
Letramento em saúde e conhecimento de pessoas com lesão medular espinhal
Authors: Passos de Oliveira Guimarães Thaís , Batista da Silva Lima Jordana , Camilo Valinote Hernani , Martins Carneiro Eduardo , Souza Costa Katarine , Moreira de Paiva Thatiana , Aguilera Rodrigues da Silva Francine , França Bernardelli Cipriano Graziella , De Araújo Morais Letícia
Published: April 2024

Introdução. Para um adequado gerenciamento em saúde, o indivíduo necessita compreender sobre sua condição clínica e saber tomar decisões críticas e assertivas sobre sua saúde, ressaltando o letramento em saúde (LS) adequado como importante aliado nesse processo. Objetivo. Analisar o LS e o conhecimento acerca das condições clínicas de pessoas com Lesão Medular Espinhal (LME) internadas para um processo de reabilitação. Método. Estudo analítico longitudinal quantitativo, que incluiu indivíduos com LME, ≥18 anos, de etiologia traumática, com tempo de lesão ≤18 meses. Foram utilizados o European Health Literacy Survey Questionnaire short-short form (HLS-EU-Q6) e questionário elaborado pelos autores em relação ao conhecimento sobre LME. Resultados. 35 indivíduos, com média de idade de 41,97±17,48 anos; 28(80%) do sexo masculino, 17 (48,57%) indivíduos possuíam nível de lesão torácica, a maior parte evoluiu com lesões completas, ASIA Impairment Scale (AIS) A 16 (45,70%) indivíduos, e a principal etiologia adveio de acidentes automobilísticos 16 (45,71%) indivíduos. 29 (82,85%) indivíduos foram admitidos com nível de LS problemático e esse nível não mudou ao final da internação em 28 (80%) indivíduos. Houve melhora significante no conhecimento dos participantes ao final da internação (p=<0,01). Não houve correlação do LS com o questionário Conhecimento Sobre Lesão Medular Espinhal (p=0,09). Conclusão. O letramento em saúde de indivíduos com lesão medular espinhal não alterou durante o período de internação, permanecendo problemático. Houve melhora do conhecimento sobre condição clínica desta população, mesmo os que permaneceram em isolamento durante o período de internação.
PENGARUH PROFITABILITAS DAN UKURAN PERUSAHAAN TERHADAP PENGHINDARAN PAJAK PADA SUB SEKTOR LOGAM YANG TERDAFTAR DI BEI PADA PERIODE 2019-2022
Authors: Pardosi Irvan Alfredo , Sihotang Ronny Buha , Simbolon Remista
Published: April 2024

Legal efforts made by companies to avoid taxes by reducing the deferred tax burden are called tax avoidance. If tax avoidance activities are carried out according to the rules of the applicable law, it is considered legal by the company. The purpose of this study is to understand and analyze the various benefits of profitability (X1) and business growth (X2) on financial performance (Y) in the Metal Subsector listed on the Indonesia Stock Exchange. The method used in this research is quantitative, and the annual report of the Metal Company for the period 2019-2022 as secondary data. Panel data regression is applied for analysis techniques. The findings of this study explain that profitability produced with ROA and company size produced with SIZE have no significant effect on Tax Avoidance in Metal Companies on the Indonesia Stock Exchange.

Keywords: Profitability, Company Size, Tax Avoidance
Multi-Type Stochastic Resonances for Noise-Enhanced Mechanical, Optical, and Acoustic Sensing
Authors: Liu Zhu , Qu Kai , Chen Ke , Li Zhipeng
Published: April 2024

Stochastic resonance (SR) typically manifests in nonlinear systems, wherein the detection of a weak signal is bolstered by the addition of noise. Since its first discovery in a study of ice ages on Earth, various types of SRs have been observed in biological and physical systems and have been implemented in sensors to benefit from noise. However, a universally designed sensor architecture capable of accommodating different types of SRs has not been proposed, and the widespread applications of SRs in daily environments have not yet been demonstrated. Here, we propose a sensor architecture to simultaneously realize multi-type SRs and demonstrate their wide applications in mechanical, optical, and acoustic sensing domains. In particular, we find the coexistence of excitable SR and bistable SR in a sensor architecture composed of wirelessly coupled inductor–capacitor resonators connected to a nonlinearly saturable amplifier. In both types of SRs, adding noise to the system leads to a characteristic noise-enhanced signal-to-noise ratio (SNR). We further validate our findings through mechanical, optical, and acoustic sensing experiments and obtain noise-enhanced SNR by 9 dB, 3 dB, and 7 dB, respectively, compared to the standard methods devoid of SR integration. Our findings provide a general strategy to design various types of SRs and pave the way for the development of a distinctive class of sensors leveraging environmental noise, with potential applications ranging from biomedical devices to ambient sensing.
A Study on Customer Satisfaction towards Online Shopping
Authors: Rajasekar M.
Published: April 2024

Online shopping has a product catalogue in which the customer can browse the search criteria by type, price, material, age etc., and information a seller without any brokers on intermediary over the internet. This from is known as about the product, the seller and the service center. Online shopping has become very popular, especially with the life styles of business people who are always busy and are looking for a convenient way to shop.
Implementasi Firewall Pada Laboratorium Jaringan Komputer SMAIT AL-ITTIHAD
Authors: Styorini Wiwin , Azwar Hamid , Mochammad Susantok
Published: April 2024

Teknologi internet merupakan bagian penting dari pelaksanaan proses pendidikan saat ini, termasuk proses pembelajaran di SMAIT AL-Ittihad. Infrastruktur jaringan komputer yang dimiliki oleh SMAIT AL-Ittihad terdiri dari satu LAN dengan satu router gateway ke internet dan sekaligus sebagai firewall untuk implementasi keamanan aksesnya. Dengan demikian, satu kebijakan keamanan di firewall akan berdampak ke semua jaringan SMAIT AL-Ittihad, termasuk kebijakan akses di laboratorium komputer. Permasalahan muncul ketika diperlukan kebijakan khusus pada jaringan di laboratorium komputer yang tidak menganggu kebijakan umum seperti siswa tidak bisa mengakses situs atau aplikasi tertentu ke internet selama ujian berlangsung. Solusinya adalah dengan melakukan segmentasi jaringan LAN laboratorium komputer dengan router tersendiri, yaitu MikroTik sebagai gateway dan firewall, sehingga kebijakan keamanan akses yang terpisah dengan jaringan umum dapat diimplementasikan. Hasil dari kegiatan ini adalah implementasi router MikroTik sebagai firewall di jaringan laboratorium komputer SMAIT Al-Ittihad yang dapat memfilter atau membatasi akses ke situs tertentu, seperti www.google.com dan chat.openai.com. Diharapkan dengan kegiatan ini, laboratorium komputer SMAIT AL-Ittihad dapat melakukan ujian secara online dengan kebijakan akses khusus melalui konfigurasi firewall pada router mikrotik. Kegiatan ini juga berhasil mentransformasikan kemampuan pengelolaan firewall kepada para teknisi dan guru-guru dengan tingkat pemahaman mencapai 3.8 dari skala 4.
O desenho da criança como parte do seu processo de alfabetização
Authors: De Souza Christiane Pantoja
Published: April 2024

Este estudo objetivou articular o desenho da criança ao aprendizado da língua no processo de alfabetização. Tratou-se de um estudo teórico bibliográfico, utilizando-se como bases as teorias sobre o desenvolvimento do pensamento e da linguagem na criança encontradas em Vygotsky e Piaget, utilizando-se também a compreensão de Emília Ferreiro e Ana Teberosky sobre a alfabetização. Este estudo vem a contribuir com outros professores e profissionais que se preocupam com as deficiências educacionais que ainda existem na população brasileira, e em atenção aos direitos fundamentais previstos na Constituição Federativa do Brasil de 1988, dentre os quais, deve-se assegurar o direito à educação e a proteção da infância. O tema em estudo foi trabalhado em três seções denominadas respectivamente de: “O Lugar do Desenho no Processo de Alfabetização”, “As Fases do Desenho no Desenvolvimento da Criança”, e “A Língua Escrita como Sistema de Representação”.
THE SOCIO-CULTURAL CONTEXT OF RUSSIAN-CHINESE INTERACTION IN EDUCATION
Authors:   Volgograd State Academy of Postgraduate Education, MISHAKOVA A.N.
Published: April 2024

The article is devoted to the analysis of Russian-Chinese interaction in the sphere of education in the context of intercultural dialogue. In this article the sphere of education is considered in the context of interaction between cultures, where the concept of intercultural dialogue is considered as equal bilateral communication between representatives of different cultures, based on the recognition of the authenticity of each culture and the idea of voluntary cooperation. The author notes that the educational component played one of the leading roles in the intercultural interaction between the two countries. The flowering of intercultural interaction occurred during the Soviet period. The Soviet educational system influenced the formation of public education in China.
DISCRETE VISUALIZATION IN SOLVING EDUCATIONAL AND RESEARCH PROBLEMS OF MECHANICAL ENGINEERING TECHNOLOGY
Authors:   Orenburg State University, BELONOVSKAYA I.D. , KORNIPAEVA A.A. ,   Orenburg State University
Published: April 2024

The purpose of the article is to present discrete visualization as a means of solving educational and research problems of mechanical engineering technology. Discrete visualization is considered as a method of dividing the studied machining process into sequential time fragments, followed by educational observation, fixation of the fragment by means of mobile video and interpolation of the obtained point data. As an example, an educational study of the influence of thermal phenomena during cutting on the processing accuracy is considered. The conclusion is made about the possibility of using the technology of discrete visualization and mobile video for laboratory work, research in student scientific societies, the development of video courses and virtual laboratory work for conditions of distance, correspondence and hybrid learning, as well as various kinds of experimental and grant activities of future technologists in universities and colleges.
Pueblo Viejo de Caparroso, campaña de 2023
Authors: Zuza Astiz Carlos , Zuazúa Wegener Nicolás
Published: April 2024

En la campaña de 2023 se continúan los trabajos de excavación de la tercera área visitable del futuro sitio arqueológico del Pueblo Viejo de Caparroso. Comienza a perfilarse un edificio que nos dará pistas sobre la tipología de las construcciones y el urbanismo que constituyó este singular despoblado medieval.
Real Fábrica-fundición de municiones de Eugi: intervención arqueológica 2023
Authors: Labé Valenzuela Francisco , Sánchez Delgado Ana Carmen
Published: April 2024

En esta noticia se muestran los avances en la investigación arqueológica durante la campaña de 2023, centrada en la sistematización de la documentación gráfica del canal y oficina de hornos, así como en la excavación en área de los niveles de arrasamiento y derrumbe de la crujía sur del edificio del palacio y de la oficina de hornos.
Klímaszorongás jelenléte az X, Y és Z generáció életében
Authors: Szeberényi András
Published: April 2024

A klímaváltozás, mint globálisan kiemelkedően fontos kérdés, nem ismer határokat vagy időbeli korlátokat, mégis minden generáció életére másképpen van hatással. Ezért is válik elengedhetetlenné a klímaváltozás és a növekvő klímaszorongás jelenségével kapcsolatos összefüggések feltárása. E tanulmány célja annak vizsgálata, hogy vajon az X, Y és Z generációk hogyan viszonyulnak a környezettudatossághoz, mennyire tájékozottak a klímaváltozással kapcsolatban, valamint, hogy jelentkeznek-e esetükben klímaszorongáshoz társítható tünetek. Primer kutatásként a kérdőíves megkérdezés módszerét alkalmaztam, mely során az X, Y és Z generációba tartozó hallgatók véleményeit mutatom be. A kutatással összhangban két hipotézist fogalmaztam meg: 1. A vizsgált generációk közül a Z generáció tagjai küzdenek leginkább, míg az X generáció tagjai küzdenek a legkevésbé a klímaszorongás okozta tünetekkel; 2. A klímaváltozást érintő gyakori események közül a természeti katasztrófák okozzák legnagyobb eséllyel a félelem és a szorongás érzésének kialakulását a vizsgált generációk tagjainál. Az eredmények alapján megállapítható, hogy a Z generáció tagjai jelentős mértékben tapasztalják a klímaszorongáshoz társítható tüneteket, úgymint közömbösség, indokolatlan dühkitörés, vagy erőteljes szorongás és a reménytelenség érzése a klímaváltozás okozta természeti katasztrófák miatt. A klímaváltozás társadalmi hatásainak és a klímaszorongás pszichológiai dimenzióinak teljeskörű megértéséhez további kutatások lebonyolítása indokolt.
Una copia del Ritratto di giovane uomo Czartoryski all’Accademia Carrara di Bergamo
Authors: Mascheretti Lorenzo
Published: April 2024

In the Accademia Carrara (Bergamo) an ancient copy of the Portrait of a youth attributed to Raphael is kept, once in the Czartoryski collection in Krakow. This copy comes from the property of a Venice-ba- sed lawyer, Salvatore Orsetti, who in 1804 sold his collection to the museum in Bergamo. The article aims to present the collecting hi- story and the critical fortune of this work of art, analyzing the archival sources and examining the contributions offered by scholars during the 18th and 19th centuries.
Implications of Deep Learning for Stock Market Forecasting
Authors: Supendi  , Kumala Devi , Yulianti Maria Lusiana
Published: April 2024

This research explores the effectiveness of using deep learning in predicting stock market movements. This research uses rigorous methods to bring out the performance of deep learning models, compare them with traditional methods, and identify critical factors that influence stock market predictions. The research results show that deep learning models, especially LSTM and CNN-LSTM architectures, can achieve satisfactory levels of accuracy and outperform traditional methods by capturing patterns in complex stock market data. In addition, this research identifies external and internal factors that influence predictions of stock market movements. This research's practical and theoretical implications highlight the potential of deep learning in improving investment decision-making and understanding financial market dynamics. Recommendations for future research include exploration of advanced deep learning techniques, integration with traditional methods, emphasis on risk management strategies, continuous evaluation of model performance, and provision of training and education to encourage analysts and investors to adopt this technology. By implementing these recommendations, the potential of deep learning models in financial analysis can be optimized, ultimately improving market efficiency and investment returns.
Optimizing E-commerce Inventory to prevent Stock Outs using the Random Forest Algorithm Approach
Authors: Ridwan Achmad , Muzakir Ully , Nurhidayati Safitri
Published: April 2024

This research investigates the effectiveness of the Random Forest algorithm in optimizing e-commerce inventory management. In a digital business that continues to grow, inventory management is crucial for smooth operations and customer satisfaction. The Random Forest algorithm, a development of the CART method by applying bagging techniques and random feature selection, was tested to predict inventory. An experimental design is used to test the algorithm's performance algorithms performance, using data relevant to the observed inventory variables. The analysis involves evaluating the performance of algorithms in predicting and preventing stockouts. The results show that the Random Forest algorithm provides more accurate inventory predictions than traditional methods. Comparison with linear and rule-based regression reveals higher accuracy, making this algorithm a promising choice for e-commerce inventory management. These findings imply that the Random Forest Algorithm can be an effective solution in overcoming the complexity and fluctuations of digital markets. Practical recommendations include a deep understanding of the data, engagement of trained human resources, and training strategies for optimal use of these algorithms. This research also contributes to the literature by expanding understanding of the application of the Random Forest algorithm in various contexts, including forest basal area prediction, supply chain management, and backorder prediction. In conclusion, the Random Forest algorithm has great potential to improve e-commerce inventory management, opening up opportunities for broader application in the digital business world. Proactive adoption of these algorithms can have a positive impact on operational efficiency, customer satisfaction, and a company's competitiveness in an ever-evolving market.
INVESTIGACIÓN Y DESARROLLO COMO MOTOR DE DESARROLLO PROFESIONAL PARA LOS DOCENTES
Authors: Araujo-Oliveira Anderson , Guilbault Anne , Chagnon Nathalie
Published: April 2024

El artículo examina el aporte de la investigación y desarrollo al desarrollo profesional docente, cuyo objetivo fue el diseño de una herramienta didáctica innovadora para la enseñanza de las Ciencias Sociales en 3° de primaria en Quebec (Canadá). Para ello, se presentan los resultados de una colaboración entre investigadores y docentes de primaria. Esta combina el análisis socioespacial, recomendado por el currículo de primaria para la enseñanza de las Ciencias Sociales con la creación, interpretación y valoración de obras artísticas como se establece para la enseñanza de la Música. Realizada en tres etapas distintas, pero interrelacionadas (análisis socioespacial de las tres sociedades estudiadas en 3° de primaria; realización de un álbum compuesto de nueve canciones que destacan las características de las tres sociedades y experimentación de la herramienta en el aula para identificar sus fortalezas y límites en la enseñanza-aprendizaje de las Ciencias Sociales), esta estrecha colaboración representó una importante contribución a la transformación de las relaciones que mantienen los docentes con los saberes escolares disciplinares, profesionales y con la práctica docente. En ese sentido, tanto el diseño conjunto de la herramienta didáctica como la experimentación de esta en clases y su difusión, representaron una ayuda sustancial para los docentes en su desarrollo profesional.
EFICÁCIA DA DRENAGEM LINFÁTICA MANUAL NO PERÍODO PÓS-OPERATÓRIO DE LIPOASPIRAÇÃO DE ABDOME
Authors: Maria Eduarda Wanderley de Barros Silva  , Edmundo Machado Ferraz Neto  , Lívia Maria Figueiredo Teles de Araújo  , Maria Clara Oliveira Padilha Diniz  , Amanda Hatsue Santana Endo  , Ovídio Fernandes de Oliveira Sobrinho  , Ana Tayná Belém Alves  , Helena Teófilo Mendonça  , Ricardo Cavalcanti de Arruda Filho  , Suzane Belém Sampaio  , Ana Hiasmyne Belem de Lucena Gomes  , Emmily Mayara Santos Lima  , Ana Cliffya Filgueira Rodrigues Santos
Published: April 2024

A drenagem linfática manual (DLM) desempenha um papel crucial no fortalecimento da função primordial do sistema linfático, que inclui auxiliar o sistema vascular na eliminação de substâncias resultantes do metabolismo celular, como toxinas e metabólitos. Com isso, o objetivo do estudo trata-se de identificar a eficácia da DLM no período pós-operatório de lipoaspiração de abdome. O presente estudo trata-se de uma revisão integrativa de literatura, realizada conforme as etapas: 1) elaboração da questão de pesquisa; 2) levantamento bibliográfico; 3) avaliação dos dados; 4) análise dos dados – divisão, exposição e comparação; 5) apresentação dos resultados. Foi feito um levantamento através da biblioteca eletrônica através da Biblioteca Virtual em Saúde (BVS), sendo selecionada as seguintes bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde e Medical Literature Analysis and Retrieval System Online. Com isso, foi utilizado os descritores consultados nos Descritores em Ciência e Saúde, sendo: “Drenagem Linfática Manual”, “Período Pós-Operatório” e “Abdome”, utilizando o operador booleano AND entre os descritores quando combinados, com os descritores em inglês para que tivesse um quantitativo maior de estudos. Receberam um quantitativo sendo: MEDLINE (17) e LILACS (6). De acordo com os estudos encontrados, após a lipoaspiração abdominal é uma prática recomendada por muitos cirurgiões plásticos para auxiliar na recuperação pós-operatória. Esta técnica de massagem é geralmente indicada para reduzir o edema (inchaço), acelerar o processo de cicatrização, diminuir a formação de fibrose (nódulos duros de tecido cicatricial) e melhorar a textura da pele. A eficácia da drenagem linfática manual no período pós-operatório de lipoaspiração de abdome é corroborada por uma série de observações clínicas e estudos, que destacam sua capacidade de reduzir o edema e acelerar o processo de recuperação.
DIGITALIZATION OF OCCUPATIONAL MEDICINE: RESULTS AND CHALLENGES
Authors: D'yakovich Marina
Published: April 2024

An analysis of the implementation of the process of implementation and application of IT technolo-gies, digital services (digitalization) in occupational medicine was carried out, highlighting solved and unresolved problems
AUTOMATED CALCULATION OF THE VOLUME OF PETROLEUM COKE RESIDUES IN STORAGE WAREHOUSES
Authors: Kulakova Irina , Seredkina Maria
Published: April 2024

The procedure for estimating petroleum coke residues by the height of the void in the silo is consid-ered and an automated calculation of coke volume in spreadsheet format is implemented
ASYMPTOTIC TEMPERATURE STABILITY DURING POLYCRYSTALLINE SILICON PRODUCTION
Authors: Senotova Svetlana
Published: April 2024

Asymptotic stability of temperature regime in the process of polycrystalline silicon production was investigated
BLOCKCHAIN AND DISTRIBUTED REGISTRIES IN THE ENERGY SECTOR FOR ENERGY MANAGEMENT
Authors: Zasuhina Ol'ga , Golovatiukov Leonid , Malinin Nikolay , Terekhova Anna , Shitenkov Grigory
Published: April 2024

The technology of energy management blockchain in the energy sector is considered
ANALYSIS OF THE WORKING CONDITIONS OF A CHEMICAL LABORATORY ASSISTANT ANALYSIS OF THE WASTEWATER GROUP OF THE TESTING LABORATORY
Authors: Pankov Vladimir , Tarasova Natalia
Published: April 2024

The article analyzes the working conditions of a chemical analysis laboratory assistant performing analyses of contaminated wastewater in a petrochemical production testing laboratory
CONDUCTING PROFESSIONAL RISK ASSESSMENT: STEP-BY-STEP ALGORITHM
Authors: Pestereva Anna , Igumen'scheva Viktoriya
Published: April 2024

A step-by-step algorithm for conducting an occupational risk assessment procedure to help an occupational safety specialist is proposed
THE STRUCTURE OF DYNAMICS OF MASS NON-COMMUNICABLE DISEASES OF CHILDREN IN THE PERIOD OF POST-SOCIALIST TRANSFORMATIONS IN THE COUNTRY
Authors: Prusakov Valeriy , Prusakova Aleksandra
Published: April 2024

The paper discusses the results of the analysis of long-term dynamics of morbidity and its risk in in-dustrial and non-industrial (background) territories of the Irkutsk region using the four-phase structure of the process of adaptation of the organism in inadequate conditions
FEATURES OF LEGAL STATUS PEASANT (FARM) FARMS
Authors: Sorokina Anna
Published: April 2024

This article describes the genesis of legislative regulation of a business entity with a special legal sta-tus - a peasant (farm) enterprise. The duality of the legal regulation of the subject is considered and a conclusion is made about the need to modernize Russian legislation in this area
RETURN ON FUNDS: THE ESSENCE, FACTORS OF INFLUENCE, CALCULATION METHODS IN DIFFERENT INDUSTRIES, EVALUATION CRITERIA
Authors: Filimonova Yuliya
Published: April 2024

The essence of the concept of "return on capital" is revealed, the value of return on capital as an indi-cator of evaluating the effectiveness of using fixed assets of an enterprise is determined, the main factors influencing the return on capital are highlighted. The methodology for calculating the indicator in different industries has been clarified, and the criteria for its assessment have been determined
APPLICATION OF DISTRIBUTED LEDGER TECHNOLOGIES IN FINANCIAL TRANSACTIONS
Authors: Cheklaukova Elena , Averin Aleksandr
Published: April 2024

The development of digital technologies that increase the security of payments and improve settle-ments is one of the main tasks facing regulators in the financial sector. The main reason for the in-creased attention to distributed ledger technology in the financial sector is the expectation that it will eliminate a number of problems and limitations inherent in the currently used methods of storing, ac-counting and transmitting financial information. The authors consider the advantages of the distribut-ed ledger technology in the implementation of financial transactions
KUALITAS PELAYANAN PUBLIK PADA KANTOR CAMAT LABUAN AMAS UTARA KABUPATEN HULU SUNGAI TENGAH
Authors: Riduan Akhmad
Published: April 2024

Dalam melaksanakan pelayanan publik pada Kantor Camat Labuan Amas Utara Kabupaten Hulu Sungai Tengah sarana dan prasarana lengkap namun ada beberapa kendala yang mempengaruhi yaitu listrk mati dan jaringan internet yang sering tidak stabil sehinga pencetakan kartu keluarga terlambat, Permasalahan kedua yaitu Kantor Camat Labuan Amas Utara Kabupaten Hulu Sungai Tengah hanya satu pegawai pelayanan dan satu operator. Pemasalahan ketiga yaitu penepatan pegawai yang tidak sesuai yaitu menempatkan pegawai piket yang tidak dari pegawai pelayanan sehingga saat ada masyarakat yang memerlukan pelayanan tidak maksimal.

Penelitian ini mengunakan pedekatan kualitatif dengan tipe deskriptif- kualitatif. Teknik pengumpulan data yang digunakan adalah wawancara, observasi dan dokumentasi. Sumber data di ambil melalui penarikan sampel secara purposive berjumlah 10 orang. Setelah data terkumpul kemudian dianalisis dengan meliputi reduksi data, penyajian data, dan verifikasi atau penarikan kesimpulan.

Hasil penelitian menunjukan bahwa pelayana publik pada Kantor Camat Labuan Amas Utara sudah cukup baik dapat dilihat dengan tersedianya sarana dan prasana yang lengkap, ketepatan waktu. Walaupun jumlah pegawai pelayanan masih minim namun tetap berusaha semaksimal mungkin melaksanakan pelayanan. Pegawai juga responsif apabila ada masyarakat yang memerlukan pelayanan. Dari segi waktu pelayanan juga sudah terjadwal dengan baik. Sedangkan dari segi biaya pelayanan hanya pelayanan IMB yang memerlukan biaya sesuai tarif retrebusi yang ditentukan. Pegawai pelayanan juga selalu ramah, namun tegas dalam pemeriksaan syarat-syarat untuk mendapatkan pelayanan publik. Namun ada beberapa faktor yang menyebabkan pelayanan di Kantor Camat Labuan Amas Utara seperti listrik mati dan jaringan internet tidak stabil sehingga komputer mati, tentunya tidak dapat melayani masyarakat. faktor berikutnya yaitu kurangnya pegawai dan operator pelayanan yang mengakibatkan jika mereka tidak hadir pelayanan akan terhambat juga tentunya, dan faktor terakhir yaitu penempatan pegawai piket yang bukan berasal dari pegawai pelayanan.

Untuk meningkatkan kualitas pelayan publik di kantor Camat Labuan Amas Utara Kabupaten Hulu Sungai Tengah maka penulis menyarankan kepada Camat yaitu agar mengunakan UPS saat listrik mati mendadak komputer tidak mati sebelum jenset dihidupkan. Penambahan tenaga kontrak sementara sebagai solusi untuk mendapatkan tambahan tenaga pada pelayanan publik. Sebagai solusi lainya bagi pegawai pelayanan yang tidak menguasai pelayan maka di buatkan brosur.