bluuebunny/crossref_metadata_2025 huggingface dataset:
Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction
Authors: Li Lintong , Escribano-Macias Jose , Zhang Mingwei , Fu Shenghao , Huang Mingyang , Yang Xiangmin , Zhao Tianyu , Feng Yuxiang , Elhajj Mireille , Majumdar Arnab , Angeloudis Panagiotis , Ochieng Washington
Published: September 2024

Wind speed affects aviation performance, clean energy production, and other applications. By accurately predicting wind speed, operational delays and accidents can be avoided, while the efficiency of wind energy production can also be increased. This paper initially overviews the definition, characteristics, sensors capable of measuring the feature, and the relationship between this feature and wind speed for all Quality Indicators (QIs). Subsequently, the feature importance of each QI relevant to wind-speed prediction is assessed, and all QIs are employed to predict horizontal wind speed. In addition, we conduct a comparison between the performance of traditional point-wise machine learning models and temporally correlated deep learning ones. The results demonstrate that the Bidirectional Long Short-Term Memory (BiLSTM) neural network yielded the highest level of accuracy across three metrics. Additionally, the newly proposed set of QIs outperformed the previously utilised QIs to a significant degree.
Enhanced Visual SLAM for Collision-Free Driving with Lightweight Autonomous Cars
Authors: Lin Zhihao , Tian Zhen , Zhang Qi , Zhuang Hanyang , Lan Jianglin
Published: September 2024

The paper presents a vision-based obstacle avoidance strategy for lightweight self-driving cars that can be run on a CPU-only device using a single RGB-D camera. The method consists of two steps: visual perception and path planning. The visual perception part uses ORBSLAM3 enhanced with optical flow to estimate the car’s poses and extract rich texture information from the scene. In the path planning phase, the proposed method employs a method combining a control Lyapunov function and control barrier function in the form of a quadratic program (CLF-CBF-QP) together with an obstacle shape reconstruction process (SRP) to plan safe and stable trajectories. To validate the performance and robustness of the proposed method, simulation experiments were conducted with a car in various complex indoor environments using the Gazebo simulation environment. The proposed method can effectively avoid obstacles in the scenes. The proposed algorithm outperforms benchmark algorithms in achieving more stable and shorter trajectories across multiple simulated scenes.
Damping Characteristics of a Novel Bellows Viscous Damper
Authors: Chen Yang , Qin Chao , Zhou Honghai , Xu Zhenbang , Xu Anpeng , Li Hang
Published: September 2024

Micro-vibrations during the operation of space remote sensing equipment can significantly affect optical imaging quality. To address this issue, a bellows-type viscous damper serves as an effective passive damping and vibration isolation solution. This paper introduces a bellows-type viscous damper with adjustable damping capabilities, designed for mid- to high-frequency applications. We developed a system damping model based on hydraulic fluid dynamics to examine how different factors—such as viscous coefficients, damping hole lengths, hole diameters, chamber pressures, and volumes—influence the damping characteristics. To validate the theoretical model, we constructed an experimental platform. The experimental results show that the theoretical damping curves closely match the measured data. Moreover, increasing the chamber pressure effectively enhances the damper’s damping coefficient, with the deviation from theoretical predictions being approximately 4%.
A Transformer-Based Image-Guided Depth-Completion Model with Dual-Attention Fusion Module
Authors: Wang Shuling , Jiang Fengze , Gong Xiaojin
Published: September 2024

Depth information is crucial for perceiving three-dimensional scenes. However, depth maps captured directly by depth sensors are often incomplete and noisy, our objective in the depth-completion task is to generate dense and accurate depth maps from sparse depth inputs by fusing guidance information from corresponding color images obtained from camera sensors. To address these challenges, we introduce transformer models, which have shown great promise in the field of vision, into the task of image-guided depth completion. By leveraging the self-attention mechanism, we propose a novel network architecture that effectively meets these requirements of high accuracy and resolution in depth data. To be more specific, we design a dual-branch model with a transformer-based encoder that serializes image features into tokens step by step and extracts multi-scale pyramid features suitable for pixel-wise dense prediction tasks. Additionally, we incorporate a dual-attention fusion module to enhance the fusion between the two branches. This module combines convolution-based spatial and channel-attention mechanisms, which are adept at capturing local information, with cross-attention mechanisms that excel at capturing long-distance relationships. Our model achieves state-of-the-art performance on both the NYUv2 depth and SUN-RGBD depth datasets. Additionally, our ablation studies confirm the effectiveness of the designed modules.
Fault Diagnosis Method for Vacuum Contactor Based on Time-Frequency Graph Optimization Technique and ShuffleNetV2
Authors: Li Haiying , Wang Qinyang , Song Jiancheng
Published: September 2024

This paper presents a fault diagnosis method for a vacuum contactor using the generalized Stockwell transform (GST) of vibration signals. The objective is to solve the problem of low diagnostic performance efficiency caused by the inadequate feature extraction capability and the redundant pixels in the graph background. The proposed method is based on the time-frequency graph optimization technique and ShuffleNetV2 network. Firstly, vibration signals in different states are collected and converted into GST time-frequency graphs. Secondly, multi-resolution GST time-frequency graphs are generated to cover signal characteristics in all frequency bands by adjusting the GST Gaussian window width factor λ. The OTSU algorithm is then combined to crop the energy concentration area, and the size of these time-frequency graphs is optimized by 68.86%. Finally, considering the advantages of the channel split and channel shuffle methods, the ShuffleNetV2 network is adopted to improve the feature learning ability and identify fault categories. In this paper, the CKJ5-400/1140 vacuum contactor is taken as the test object. The fault recognition accuracy reaches 99.74%, and the single iteration time of model training is reduced by 19.42%.
Joint Power Allocation and Hybrid Beamforming for Cell-Free mmWave Multiple-Input Multiple-Output with Statistical Channel State Information
Authors: Bai Jiawei , Wang Guangying , Wang Ming , Zhu Jinjin
Published: September 2024

Cell-free millimeter wave (mmWave) multiple-input multiple-output (MIMO) can effectively overcome the shadow fading effect and provide macro gain to boost the throughput of communication networks. Nevertheless, the majority of the existing studies have overlooked the user-centric characteristics and practical fronthaul capacity limitations. To solve these practical problems, we introduce a resource allocation scheme using statistical channel state information (CSI) for uplink user-centric cell-free mmWave MIMO system. The hybrid beamforming (HBF) architecture is deployed at each access point (AP), while the central processing unit (CPU) only combines the received signals by the large-scale fading decoding (LSFD) method. We further frame the issue of maximizing sum-rate subject to the fronthaul capacity constraint and minimum rate constraint. Based on the alternating optimization (AO) and fractional programming method, we present an algorithm aimed at optimizing the users’ transmit power for the power allocation (PA) subproblem. Then, an algorithm relying on the majorization–minimization (MM) method is given for the HBF subproblem, which jointly optimizes the HBF and the LSFD coefficients.
Artificial Intelligence and the Black Hole of Capitalism: A More-than-Human Political Ethology
Authors: Fox Nick J.
Published: September 2024

This paper applies a ‘more-than-human’ theoretical framework to assess artificial intelligence (AI) in the context of a capitalist economy. Case studies of AI applications from the fields of finance, medicine, commerce and manufacturing elucidate how this capitalist context shapes the aims and objectives of these innovations. The early sections of the paper set out a more-than-human theoretical perspective on capitalism, to show how the accumulation of capital depends upon free flows of commodities, money and labour, and more-than-human forces associated with supply and demand. The paper concludes that while there will be many future applications of AI, it is already in thrall to capitalist enterprise. The primary social significance of AI is that it enhances capital accumulation and a capitalist ‘black hole’ that draws more and more human activity into its sphere of influence. AI has consequent negative social, political and environmental capacities, including financial uncertainty, waste, and social inequalities. Some ways to contain and even subvert these negative consequences of an AI-fuelled capitalism are suggested.
Is More Really More? Evidence of a Curvilinear Relationship between the Extent of Telework and Employees’ Temporal Alignment of Work and Private Life in Germany
Authors: Mergener Alexandra , Rinke Timothy , Entgelmeier Ines
Published: September 2024

Studies exploring not only whether, but also to what extent, telework can improve employees’ ability to coordinate private and work-related demands are largely absent. Using a probability-based large-scale survey of employees in Germany (N = 14,999), this study provides evidence of an inverted U-shaped relationship between the extent of telework and employees’ temporal alignment of work and private life, i.e., their success in considering personal and family matters when scheduling work. When telework comprised up to 40 percent of the total working time, employees were observed to temporally align their work and private life better than those who only worked on-site. Additional analyses indicated that particularly men, and even more so fathers, experience improved work and private life alignment with frequent teleworking. For women with and without children, however, highly extensive teleworking not only loses its positive effect, but is associated with less success in aligning work and private life compared to non-teleworking. To be able to benefit from telework, even when it is used extensively, clear rules are needed, for example, regarding expectations of accessibility for paid work as well as for home and care work.
Contamination of Perfluoroalkyl Substances and Environmental Fight for Safe and Health: The MammeNoPfas Movement as Epistemic Community
Authors: Menegatto Marialuisa , Zamperini Adriano
Published: September 2024

Some communities in the Veneto Region (Italy) are facing a major technological disaster due to per- and polyfluoroalkyl substance (PFAS) pollution. In response to this serious problem, a group of ordinary mothers exposed to PFAS contamination came together under the name MammeNoPfas (MothersNoPfas) to address this environmental disaster moving towards activism. They started to develop the epistemic capacity to understand these substances and disseminate this knowledge within their communities. The purpose of this study was to explore the experience of these mothers as an epistemic community and a minority group, engaged in an accidental form of environmental activism. Based on in-depth narrative interviews, 23 mothers were involved in the study. A grounded theory and thematic analysis methods were used. Four major themes emerged: (1) health surveillance, (2) collective ignorance, (3) collective learning, (4) community practices. Nine sub-themes were associated with the emerging themes. This study demonstrated that the skills acquired by MammeNoPfas enabled significant participation in environmental and health issues. Social mobilisation, fighting for legal justice against those who poisoned their land and bodies and establishing themselves as an epistemic community are the three main dimensions characterising the struggle of MammeNoPfas.
Constraints under the Halo: The Constraining Effect of Corporate Reputation on Corporate Social Responsibility Behavior
Authors: Ye Fangbing , Han Xuze , Li Xin
Published: September 2024

This study explored the multidimensional influence of high reputation on corporate social responsibility behaviors from the “report disclosure”, “report whitewashing”, and “actual performance” perspectives. The study found that a high reputation may trigger high expectations and strict supervision among stakeholders, which may cause those companies with high reputations to disclose high-quality CSR reports and improve the quality of their CSR performance. The results also indicated that, under the influence of a reputation-constraining mechanism, the degree of whitewashing in the CSR reports of high-reputation firms is significantly lower than that of others. This study focused on facilitating a better understanding of the influence of organizational reputation on organizational behavior and providing theoretical support and practical insights regarding the improvement of the effectiveness of corporate social responsibility governance.
Efficient Uranium Removal from Aqueous Solutions Using Silica-Based Adsorbents Functionalized with Various Polyamines
Authors: Zhang Ping , Wang Hongling , Chen Lifeng , Li Wenlong , Fujita Toyohisa , Ning Shunyan , Wei Yuezhou
Published: September 2024

With the rapid development of nuclear energy, the contamination of environmental water systems by uranium has become a significant threat to human health. To efficiently remove uranium from these systems, three types of silica-based polyamine resins—SiPMA-DETA (SiPMA: silica/poly methyl acrylate; DETA: diethylenetriamine), SiPMA-TETA (TETA: triethylenetetramine), and SiPMA-TEPA (TEPA: tetraethylenepentamine)—were successfully prepared, characterized, and evaluated in batch experiments. Characterization results showed that the silica-based polyamine resins were successfully prepared, and they exhibited a uniform shape and high specific surface area. SiPMA-DETA, SiPMA-TETA, and SiPMA-TEPA had nitrogen contents of 4.08%, 3.72%, and 4.26%, respectively. Batch experiments indicated that these adsorbents could efficiently remove uranium from aqueous solutions with a pH of 5–9. The adsorption kinetics of U(VI) were consistent with the pseudo-second-order model, indicating that the adsorption process was chemisorption and that adsorption equilibrium was achieved within 10 min. SiPMA-TEPA, with the longest polyamine chain, exhibited the highest adsorption capacity (>198.95 mg/g), while SiPMA-DETA, with the shortest polyamine chain, demonstrated the highest U(VI) adsorption efficiency (83%) with 100 mM Na2SO4. SiPMA-TEPA still removed over 90% of U(VI) from river water and tap water. The spectral analysis revealed that the N-containing functional groups on the ligand were bound to anionic uranium–carbonate species and possibly contributed to the adsorption efficiency. In general, this work presents three effective adsorbents for removing uranium from environmental water systems and thus significantly contributes to the field of environmental protection.
Graph Node Scoring for the Analysis and Visualisation of Mobility Networks and Data
Authors: Martínez Márquez Rafael Alejandro , Patanè Giuseppe
Published: September 2024

Urban mobility and geographical systems benefit significantly from a graph-based topology. To identify the network’s crucial zones in terms of connectivity or movement across the network, we implemented several centrality metrics on a particular type of spatial network, i.e., a Region Adjacency graph, using three geographical regions of different sizes to exhibit the scalability of conventional metrics. To boost the topological analysis of a network with geographical data, we discuss the eigendata centrality and implement it for the largest of our Region Adjacency graphs using available geographical information. For flow prediction data-driven models, we discuss the Deep Gravity model and utilise either its geographical input data or predicted flow values to implement an additional node score through the Perron vector of the transition probability matrix. The results show that the topological analysis of a spatial network can be significantly enhanced by including regional and mobility data for graphs of different scales, connectivity, and orientation properties.
Immunogenicity and Safety of Omicron-Containing Multivalent COVID-19 Vaccines in Unvaccinated and Previously Vaccinated Adults
Authors: Hannawi Suad , Abuquta Alaa , Eldin Linda Saf , Hassan Aala , Alamadi Ahmad , Gao Cuige , Baidoo Adam Abdul Hakeem , Yang Xinjie , Su Huo , Zhang Jinxiu , Xie Liangzhi
Published: September 2024

The SARS-CoV-2 evolution trajectory remains uncertain, and the antigenic characteristics of future variants are highly unpredictable. We report the immunogenicity and safety of multivalent COVID-19 vaccines, SCTV01E and SCTV01E-1, against Omicron BA.5. This phase 2 trial randomized 400 adults into two cohorts, 160 unvaccinated (3 doses) and 240 previously vaccinated (2 doses) individuals to receive 30 µg SCTV01E-1 or 30 µg SCTV01E (1:1) between 4 November and 28 November 2022. Among the unvaccinated cohort, day 42 geometric mean fold rises (GMFRs) of neutralizing antibodies (nAb) against Omicron BA.5 were reported to be 12.8× and 20.5× over day 0 for SCTV01E-1 and SCTV01E, respectively. On day 178, both vaccines increased geometric mean titers (GMTs) of nAb against BA.5 following the booster dose compared to pre-booster levels on D150. Similar frequencies of solicited [6.2% (5/81) and 7.6% (6/79)] and unsolicited [11.1% (9/81) and 10.1% (8/79)] adverse events (AEs) were reported in SCTV01E-1 and SCTV01E groups, respectively. Grade 3 or more AEs were < 2% in both vaccine groups [SCTV01E-1: 1.2% (1/81), SCTV01E: 1.3% (1/79)]. In the previously vaccinated cohort, similar GMFRs were reported on day 28 (SCTV01E-1: 9.4× and SCTV01E: 8.7×) over baseline (D0). On day 148, both vaccines showed increased nAb levels with similar GMFRs over D120. Comparable incidences of solicited [13.2% (16/121) and 10.9% (13/119)] and unsolicited [17.4% (21/121) and 10.9% (13/119)] AEs were reported in SCTV01E-1 and SCTV01E groups, respectively. Numerically identical ≥ grade 3 AEs [SCTV01E-1: 1.7% (2/121) and SCTV01E: 1.7% (2/119)] were reported. This trial demonstrates the effectiveness of updated multivalent vaccines with acceptable safety profiles.
Position Statement about Gender-Neutral HPV Vaccination in Korea
Authors: Min Kyung-Jin , Ouh Yung-Taek , Bae Sangrak , Ji Yong-Bae , Lee Jae-Kwan , Kim Jae-Weon , Cho Kwang-Jae , Im Dong-Hun
Published: September 2024

Given the rising incidence of human papillomavirus (HPV)-related diseases, including cervical, penile, and oropharyngeal cancers, particularly among men, the implementation of comprehensive HPV vaccination strategies is necessary in South Korea. This position statement advocates the introduction of gender-neutral vaccination (GNV) in the country. It recommends the administration of the HPV vaccine to both men and women aged 9–26 years to prevent a broad spectrum of HPV-related conditions. Specifically, individuals aged 9–14 years are advised to receive two doses of the vaccine, whereas those aged 15–26 years are advised to receive three doses. The optimal age for vaccination is identified as 11–12 years old. Additionally, this statement recommends that women aged 27 years and older be vaccinated based on the discretion of healthcare providers. The introduction of GNV is essential to curb the spread of HPV and reduce the overall burden of HPV-related cancers, making it a critical public health initiative in Korea.
Structures of the Varicella Zoster Virus Glycoprotein E and Epitope Mapping of Vaccine-Elicited Antibodies
Authors: Harshbarger Wayne D. , Holzapfel Genevieve , Seraj Nishat , Tian Sai , Chesterman Chelsy , Fu Zongming , Pan Yan , Harelson Claire , Peng Dongjun , Huang Ying , Chandramouli Sumana , Malito Enrico , Bottomley Matthew James , Williams James
Published: September 2024

Background: Varicella zoster virus (VZV) is the causative agent for chickenpox and herpes zoster (HZ, shingles). HZ is a debilitating disease affecting elderly and immunocompromised populations. Glycoprotein E (gE) is indispensable for viral replication and cell-to-cell spread and is the primary target for anti-VZV antibodies. Importantly, gE is the sole antigen in Shingrix, a highly efficacious, AS01B-adjuvanted vaccine approved in multiple countries for the prevention of HZ, yet the three-dimensional (3D) structure of gE remains elusive. Objectives: We sought to determine the structure of VZV gE and to understand in detail its interactions with neutralizing antibodies. Methods: We used X-ray crystallography and cryo-electron microscopy to elucidate structures of gE bound by recombinant Fabs of antibodies previously elicited through vaccination with Zostavax, a live, attenuated vaccine. Results: The 3D structures resolve distinct central and C-terminal antigenic domains, presenting an array of diverse conformational epitopes. The central domain has two beta-sheets and two alpha helices, including an IgG-like fold. The C-terminal domain exhibits 3 beta-sheets and an Ig-like fold and high structural similarity to HSV1 gE. Conclusions: gE from VZV-infected cells elicits a human antibody response with a preference for the gI binding domain of gE. These results yield insights to VZV gE structure and immunogenicity, provide a framework for future studies, and may guide the design of additional herpesvirus vaccine antigens. Teaser: Structures of varicella zoster virus glycoprotein E reveal distinct antigenic domains and define epitopes for vaccine-elicited human antibodies.
Digital technologies for business development
Authors:   Patrice Lumumba Russian People’s Friendship University, Moscow, Zhen P.
Published: September 2024

The digital economy is a new environment for running a hotel and any other business, to which business was forced to respond first, which was associated not only with threats, but also with new opportunities of digital technologies: reducing transaction costs, pinpoint targeting and wide coverage of the target audience, increasing labor productivity, reducing the time for online communications with partners, clients, increasing customer satisfaction through fast and effective feedback. The article analyzes the main digital technologies and their application in business.
Holiday as a collective action: socio-psychological foundations
Authors:   Department of Art, Moscow University for the Humanities, Streltsova Darya Aleksandrovna
Published: September 2024

Over its centuries-long history, the holiday has connected and united people, and over many years of collective participation, it has developed images and symbols that were subsequently included in social practices. The essence of the holiday as a collective action lies in the sacred view of the existing world. Since holidays are the creation of collective creative work, they form the unity of the people, their “face” and specifi city, unique features and similarities. The modern generation, participating in holidays, even today experiences a sense of the sacredness of the time and place of the holiday, and the moments associated with the ritual of the holiday reveal their symbolic and sacred essence. There is no need to say or prove that a joint holiday with loved ones and relatives gathered together at one table, or with people at dozens of tables, spiritually enriches a person. The holiday activates the vision of national history and artistic consciousness, which is characteristic of any nation.
Theoretical approaches to the study of self-representation of personality
Authors:   Department of Foreign Languages, Faculty of Public Administration, Lomonosov Moscow State University, Sentemova Alexandra Romanovna
Published: September 2024

The phenomenon of self-representation has increasingly attracted the attention of researchers since the second half of the twentieth century, and today there is an increasing interest in it. This is due to the intensity of the development of information technology the expansion of intercultural interaction and their infl uence on everyday life through new media. The work is devoted to the urgent problem of studying the phenomenon of self-representation of personality as a socio-cultural phenomenon. Based on the purpose of the study, which is to review theoretical approaches to the study of self-representation, their description is given for understanding self-representation. Based on the analysis of approaches of leading domestic and foreign researchers, the author's position on understanding self-representation and verbal self-representation is formulated. The analysis allowed us to identify common essential grounds in understanding the content of self-representation: as a communication of information about oneself in order to form a certain image using verbal and non-verbal behavioral acts, created purposefully or spontaneously. It is noted that verbal self-representation appears as its variety, presented in the form of written forms and oral speech acts.
Resources of wild ungulates in the Russian Federation
Authors:   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow, Kaledin A. P. , Ostapchuk A. M. ,   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow, Golubeva O. N. ,   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow
Published: September 2024

The preservation and rational use of hunting resources is the main task of the hunting industry in Russia. In order to assess the state of hunting resources, it is necessary to analyze the number and hunted of animals. The purpose of the research was to analyze the state of wild ungulate resources in the Russian Federation, the dynamics of their numbers and hunted both in the Russian Federation as a whole and in the context of federal districts. The state of the dynamics of the population size (from 2011 to 2022) and hunted (in the hunting seasons of 2012–2013 and 2021–2022) of the main species of wild ungulates, such as elk, European and Siberian roe deer, sika and red deer, wild boar in hunting grounds of the Russian Federation has been considered the paper. An analysis of the number of these ungulates was carried out in the context of federal districts of the Russian Federation in 2022. It is shown that the largest number of ungulates lives in the Siberian and Far Eastern Federal Districts. In the European part of the Russian Federation, namely in the Central Federal District, the largest number of elk is concentrated in the Yaroslavl Region, roe deer and red deer is in the Smolensk region, sika deer is in the Kaluga region. In the Northwestern Federal District, a large number of elk is concentrated in the Vologda region; roe deer is in the Pskov and Kaliningrad regions, sika deer lives only in the Kaliningrad region. A tendency towards an increase in the number, as well as the hunted of elk, roe deer, sika and red deer in hunting grounds of the Russian Federation has been noted. It should be noted that the dynamics of the number and hunted of wild boar in hunting grounds of the Russian Federation is rapidly declining.
GP working time and supply, and patient demand in England in 2015–2022: a retrospective study
Authors: Parisi Rosa , Lau Yiu-Shing , Bower Peter , Checkland Katherine , Rubery Jill , Sutton Matthew , Giles Sally , Esmail Aneez , Spooner Sharon , Kontopantelis Evangelos
Published: September 2024

Background

English primary care faces a reduction in GP supply and increased demand.

Aim

To explore trends in GP working time and supply, accounting for factors influencing demand for services.

Design and setting

Retrospective observational study in English primary care between 2015 and 2022.

Method

Trends in median GP contracted time commitment were calculated using annual workforce datasets. Three measures of demand were calculated at practice-level: numbers of patients; numbers of older patients (≥65 years); and numbers of chronic conditions using 21 Quality and Outcomes Framework disease registers. Multi-level Poisson models were used to assess associations between GP supply and practice demand, adjusted for deprivation, region, and year.

Results

Between 2015 and 2022, the median full-time equivalent (FTE) of a fully qualified GP decreased from 0.80 to 0.69.There was a 9% increase in registered population per GP FTE (incidence rate ratio [IRR] = 1.09; 95% confidence interval [CI] = 1.05 to 1.14). This increase was steeper using numbers of chronic conditions (32%, IRR = 1.32; 95% CI = 1.26 to 1.38). Practices in the most deprived decile had 17% more patients (IRR = 1.17; 95% CI = 1.08 to 1.27) and 19% more chronic conditions (IRR = 1.19; 95% CI = 1.06 to 1.33) per GP FTE, compared with the least deprived decile. These disparities persisted over time. All regions reported more chronic conditions per GP FTE than London.

Conclusion

Population demand per GP has increased, particularly in terms of chronic conditions. This increase is driven by several factors, including a reduction in GP contracted time commitments. Persistent deprivation gradients in GP supply highlight the need to recruit and retain GPs more equitably.
Lymphœdème primaire de l’enfant
Authors: Luchsinger Isabelle , Zhovta Nataliia
Published: September 2024

Le lymphœdème primaire (LP) est une maladie génétique du système lymphatique, se manifestant par le gonflement d’une ou plusieurs extrémités. Le moment de son apparition, la présentation clinique et la sévérité sont hétérogènes et varient en fonction de la mutation génétique. On connait des formes syndromiques, le diagnostic génétique est donc essentiel. Afin d’éviter autant que possible la progression, la mise en place précoce du traitement est importante.
O PAPEL DO INSTAGRAM NO FORTALECIEMENTO DA MARCA NIKE: CONSTRUÇÃO DE IDENTIDADE
Authors: Cristina da Silva Batista Dara
Published: September 2024

Instagram has become crucial for businesses by providing visibility and strengthening online presence. This article examines how the platform can enhance Nike's brand identity, highlighting the company's ongoing pursuit of strategies to improve both online and offline recognition. The research includes a review of Nike's trajectory and uses theoretical foundations and scientific articles to explain the role of social media in digital marketing and branding. A case study was conducted to assess the effectiveness of Nike's Instagram, analyzing its content published over a 90-day period. The qualitative and descriptive methodology focused on understanding and detailing relevant data. The study concludes that the tool is essential for strengthening Nike's corporate identity, allowing for direct and effective contact with the target audience and increasing brand awareness. The article suggests that these findings could serve as a basis for future research on the impact of digital tools on branding.
El impacto de las habilidades digitales en la formación tradicional en el contexto pospandemia de los instructores mayores de 40 años, de la Coordinación de Teleinformática del Centro de Servicios y Gestión Empresarial del SENA Regional Antioquia
Authors:   , Jaramillo Pérez Isabel Cristina
Published: September 2024

A lo largo de la historia, la educación ha impulsado cambios significativos en las sociedades, combinando el conocimiento teórico con laexperiencia práctica. Desde una perspectiva histórica, la enseñanza se ha enfocado en la transmisión de conocimientos por parte del docentea los estudiantes, lo que se relaciona con la reproducción social y el desarrollo de habilidades necesarias para la vida. Con el advenimiento de la tecnología e internet, la práctica docente ha evolucionado, adaptándose a las necesidades sociales y a momentos críticos como la pandemia de COVID-19. Durante este período, los educadores tuvieron que rediseñar metodologías y didácticas para utilizar herramientas digitales, lo que aceleró la transición de lo analógico a lo digital en la educación. Aunque la tecnología ya estaba presente en lavida cotidiana, su integración en el ámbito educativo ha redefinido las formas de enseñar y aprender, evidenciando la importancia de políticas que apoyen la actualización de habilidades digitales.
Assessment of the Water Supply System and the Quality of Drinking Water from Centralized Sources in the City of Vladimir
Authors: Trifonova Tatiana A. , Martsev Anton A. , Selivanov Oleg G. , Kurbatov Yurij N. , Kurochkin Ivan N. , Romanova Lyudmila N.
Published: September 2024

Introduction: It is known that the quality of drinking water and its availability are key factors determining health of the population. The Vladimir water supply system is one of the oldest in Russia. Today, most of the pipelines of the urban water distribution network have significant physical wear, which can significantly affect the quality of tap water.
Objective: To assess of the quality of drinking water from centralized sources in the city of Vladimir for compliance with hygienic standards.
Materials and methods: Water from intake sources, before supply to the distribution system, and in the tap was tested for compliance with water quality standards. We used the results of measuring 17 water quality parameters by the accredited chemical laboratory of the Water Quality Control Center of “Vladimirvodokanal” for 2019–2023 and our own results of testing 9 water samples, three samples per district, for 20 quality indicators in the chemical laboratory of the Department of Biology and Ecology of the Vladimir State University in 2023. The “Kapel-205” capillary electrophoresis system was used to determine the ions; heavy metals were measured using the Spectroscan MAX-G X-ray fluorescence spectrometer. Other water quality parameters were established using methods of potentiometry, conductometry, and titrimetry. Classical methods of variation statistics were applied for data analysis in Microsoft Excel.
Results: We found that, depending on the source of water intake, the levels of fluoride ions and solids in some districts exceeded maximum allowable concentrations (mean values in the Leninsky district were 1.57 mg/dm3 and 7.54 mg-eq/dm3, respectively). At the same time, our findings for the ions of iron (0.007–0.028 mg/dm3), zinc (0.054–0.078 mg/dm3), copper (0.014–0.072 mg/dm3), cobalt (0.001 mg/dm3), potassium (the mean for the Leninsky district = 0.51 mg/dm3), sodium (the mean for the Leninsky district = 5.1 mg/dm3), and sulfate (the mean for the Frunzensky district = 18.08 mg/dm3) were below the lower limits of acceptable hygienic standards.
Conclusions: The quality of water from centralized sources of the city as a whole complies with the requirements of Russian Sanitary Rules and Norms SanPiN 2.1.3684–21, except for fluoride ions and solids; yet, it does not meet some acceptable hygienic standards. Artificial drinking water mineralization is recommended to the residents of the city of Vladimir to make up for possible deficiency of essential elements.
Outcomes of Parental Occupational Exposure to Radiation: Child and Pre-reproductive Mortality
Authors: Sosnina Svetlana F. , Okatenko Pavel V. , Sokolnikov Mikhail E.
Published: September 2024

Introduction: Child and pre-reproductive mortality are the indicators of social well-being of the society and a valuable parameter in assessing health effects of parental occupational exposure in offspring.
Objective: To assess child and pre-reproductive mortality among the offspring of the workers of the Mayak Production Association, the first Russian nuclear facility.
Materials and methods: A retrospective epidemiological study was conducted in the town of Ozyorsk, the nearest to the facility closed administrative area, involving 24,780 children born in 1949–1973. The case group consisted of 14,435 children of Mayak PA workers while the control group comprised 10,345 children of unexposed parents. Child and pre-reproductive mortality rates were analyzed by sex, calendar periods of birth, disease, and age of parents at childbirth. Risk coefficients were calculated based on dose categories of parental occupational exposure to radiation.
Results: We observed higher rates of child and pre-reproductive mortality among the controls. Perinatal conditions and childhood infectious diseases made a considerable contribution to child and pre-reproductive mortality in both groups. Infections as a cause of death in the controls were statistically more frequent than in the offspring of the nuclear industry workers. The risk of death in the first five years of life and until the age of 15 in the case group was significantly lower in the parental age at childbirth categories of 21–25 and 31–35 years, which does not exclude an important role of initial health parameters of the parents and the level of social well-being of the families. The analysis of the relationship between parental accumulated absorbed doses of external gamma exposure at work and child and pre-reproductive mortality in the offspring showed no excess risk.
Conclusions: The results of studying child and pre-reproductive mortality among the offspring of Mayak workers gave no convincing evidence of radiation-induced health effects in the children born to the exposed parents.
Multipolarity in the Arctic: New economic opportunities and geopolitical risks for Russia, India and China
Authors: Pitukhina M. A. , Gurtov V. A. , Belykh A. D.
Published: September 2024

Aim. To show new economic opportunities and geopolitical risks for Russia, India and China through the opening of new trade routes, such as the Northern Sea Route and the North-South International Transport Corridor, as factors in the formation of multipolarity in the Arctic.

   Objectives. To analyze the extent to which new transport arteries will serve to reduce trade costs and improve economic ties between the People’s Republic of China (PRC), Russia and India; to assess whether new opportunities for cooperation between Russia and the leading countries of the Asia-Pacific region will be created in the near future.

   Methods. The research methodology is based on analyzing a list of key Chinese projects in the Arctic over the past ten years and a list of key Indian projects over the past five years.

   Results. The priorities of China and India in their interaction with Russia in the Arctic direction are demonstrated. Thus, China is actively promoting the concept of the Polar Silk Road (PSR). The PSP is a continuation of the Chinese initiative “One Belt, One Road” in the Arctic, which in 2013. Xi Jinping proclaimed to revitalize East-West trade along the historic Silk Road route.The development of alternative routes for China is also important in terms of the “Malacca dilemma,” that is, China’s vulnerability to maritime blockade due to the limited number of alternative routes and potential control by outside powers. India, for its part, is lobbying for another project, the INSTC (International North-South Transport Corridor), which acts as an alternative to China’s One Belt, One Road initiative but also provides a 25-day trade route from Russia.

   Conclusions. The list of large-scale projects being implemented by China to develop Arctic resources over the past ten years demonstrates a high interest in preserving the Polar region as a territory of constructive dialog and mutually beneficial cooperation. The sphere of mutual cooperation with China in the Arctic is wide: shipbuilding, timber industry, fuel and energy complex (FEC), nuclear power, and industrial equipment. Cooperation with India is developing in a somewhat different aspect; the list of India’s key Arctic projects in the Arctic is less voluminous than that with China. The projects are mainly focused on the resource potential of the Arctic fuel and energy complex. The impression is that India is trying to seek benefits for itself more than working with Russia on the terms of a mutually beneficial partnership. In addition, India has received an invitation to join NATO, which demonstrates the existence of favorable relations with the alliance.
HUBUNGAN ANTARA STATUS GIZI, STRES, DAN KONSUMSI MINUMAN BERKAFEIN DENGAN PRIMARY DYSMENORRHEA PADA MAHASISWI UNIVERSITAS NEGERI SEMARANG
Authors: Latifah Nurul Husniah , Farida Eko
Published: September 2024

Primary Dysmenorrhea (PD) adalah nyeri menstruasi yang tidak berhubungan dengan patologi panggul dan karakteristiknya adalah nyeri pada bagian suprapubik saat beberapa jam sebelum atau ketika menstruasi. Dari hasil penelitian tahun 2015 dan 2017 lebih dari 50% wanita sering mengalami primary dysmenorrhea, prevalensi primary dysmenorrhea di Indonesia adalah 54,89%.  Kebaruan dalam penelitian ini karena menganalisis hubungan antara status gizi, stres, dan konsumsi minuman berkafein dengan primary dysmenorrhea. Tujuan penelitian untuk menganalisis hubungan antara status gizi, stres, dan konsumsi minuman berkafein dengan primary dysmenorrhea pada mahasiswi Universitas Negeri Semarang. Kriteria inklusi adalah mahasiswi tingkat akhir Universitas Negeri Semarang yang berada di Semarang, berusia 18-24 tahun, belum menikah, dan bersedia mengisi rangkaian kuesioner hingga akhir. Desain penelitian menggunakan desain cross sectional dengan perhitungan sampel sebanyak 95 mahasiswi dengan teknik stratified random sampling.  Instrumen yang digunakan adalah kuesioner Verbal Multidimensional Scoring System for dysmenorrhea (VMS), Depression Anxiety Stress Scale-42 (DASS-42), Semi Quantitative Food Frequency Questionnaire (SQ-FFQ), serta pengukuran antropometri secara langsung menggunakan microtoise dan timbangan berat badan digital. Analisis data menggunakan uji korelasi chi-square dan uji fisher. Hasil penelitian menunjukan bahwa ada hubungan yang signifikan antara stres (P-value= 0,027) dan konsumsi minuman berkafein (P-value=0,031) dengan primary dysmenorrhea, serta tidak ada hubungan yang signifikan antara status gizi (P-value=0,096) dengan primary dysmenorrhea. Kesimpulan bahwa ada hubungan yang signifikan antara stres dan konsumsi minuman berkafein dengan primary dysmenorrhea, sedangkan status gizi tidak berhubungan secara signifikan dengan primary dysmenorrhea pada mahasiswi tingkat akhir Universitas Negeri Semarang.
PENENTUAN KADAR TOTAL FLAVONOID DARI FRAKSI ETIL ASETAT EKSTRAK METANOL DAUN KERAI PAYUNG (Filicium-decipiens)
Authors: Christine Yesina , Br Karo Reh Malem , Neswita Elfia , Tanamal Claudia
Published: September 2024

Kerai Payung (Filicium-decipiens) merupakan tanaman yang bernilai tinggi sebagai bahan obat selama ratusan tahun. Salah satu senyawa yang terdapat pada tanaman ini adalah flavonoid yang diketahui memiliki banyak manfaat, antara lain bersifat antiinflamasi, antioksidan, antivirus, antikarsinogenik, antialergi, dan antibiotik. Kebaruan dari penelitian adalah menentukan kadar total flavonoid dari fraksi etil asetat ekstrak metanol daun kerai payung. Peneliti terdahulu melakukan pengujian ekstrak daun kerai payung masih sebatas menentukan aktivitas antibakteri sehingga tujuan penelitian ini adalah menguji kadar total flavonoid dari fraksi etil asetat ekstrak metanol daun kerai payung. Metode penelitian ini menggunakan spektrofotometer UV-visibel dan metode kolorimetri menggunakan larutan standar kuarsetin pada rentang panjang gelombang 400-800 nm. Absorbansi kemudian diukur pada berbagai konsentrasi, yaitu 10-50 ppm, untuk mengetahui total flavonoid. Penentuan kadar total flavonoid tersebut dijalankan tiga kali untuk mendapatkan data yang akurat. Hasil penelitian menunjukkan panjang gelombang maksimum adalah 436 nm dan nilai serapannya 0,200, dan nilai serapannya semakin meningkat seiring dengan bertambahnya konsentrasi, terlihat dari nilai serapan pada konsentrasi 10 sampai 50 ppm pada kurva kalibrasi. Kesimpulan bahwa hasil rata-rata kandungan flavonoid total sebesar 27,7067 mg QE/g ekstrak atau 2,77 %, yang dimana kadar flavonoid tersebut tergolong cukup tinggi.
CARTILLA EDUCATIVA DE PREVENCIÓN DEL ZIKA EN EL EMBARAZO
Authors:   Universidad Santiago de Cali, Estupiñan Perez Victor Hugo , Samboni Tascón Laury Tatiana ,   Universidad Santiago de Cali, España Perez Jineth Tatiana ,   Universidad Santiago de Cali, Galeano Marmolejo Raquel ,   Universidad Santiago de Cali, Romero Romero Felipe ,   Universidad Santiago de Cali, Ibarra Zapata Angie Viviana ,   Universidad Santiago de Cali, Molina Galíndez Laura Nathaly ,   Universidad Santiago de Cali, Arcos Agredo Elder Felipe ,   Universidad Santiago de Cali
Published: September 2024

El virus del zika se ha extendido rápidamente por toda Sudamérica, provocando una enfermedad que produce síntomas como erupciones cutáneas y fiebre, esta enfermedad está relacionada estrechamente con el dengue y la fiebre amarilla. La transmisión de este virus se divide en dos: primate-mosquito y humano-mosquito-humano. Su principal propagador es el mosquito Aedes aegypti. Existen otras formas de contagiarse de este virus como pueden ser las relaciones sexuales con una persona contagiada, o a través del periodo de gestación se tramite la enfermedad de la madre al feto.
Transforming Distance Learning with Artificial Intelligence in Remote Areas of Norway During the Pandemic
Authors: Isaksen Stein , Kristin Nordeng , Jenssen Pedersen , Eide Geisler Anja
Published: September 2024

Education is crucial for societal development, especially in remote areas with limited access to quality resources. The integration of artificial intelligence (AI) in education has emerged as a transformative solution to bridge educational gaps, particularly highlighted by the challenges of distance learning during the COVID-19 pandemic in Norway. This research employs a mixed-methods approach to investigate the potential of AI to enhance curriculum adaptation and student engagement in remote educational settings. Through qualitative interviews and quantitative surveys, the study explores the experiences and perceptions of students and teachers regarding AI technologies, such as intelligent tutoring systems and adaptive learning platforms. The findings reveal that AI can provide personalized learning experiences, improve engagement, and address barriers related to motivation and connectivity. Additionally, the research identifies the specific challenges faced by educators and students in remote areas and offers insights into effective strategies for integrating AI into educational practices. The implications of this study contribute to the development of innovative solutions that promote equitable access to education and improve learning outcomes in under-resourced contexts. As educational stakeholders navigate the post-pandemic landscape, leveraging AI technologies presents a timely opportunity to reshape educational practices in remote communities across Norway and beyond.