bluuebunny/crossref_metadata_2025 huggingface dataset:
Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
Authors: Lang Mait , Tampuu Tauri , Trofimov Heido
Published: January 2025

The study analysed 2019–2022 summertime canopy height predictions (H
ICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homogenous canopy structure. Regression modelling was used to explain variability in ground surface elevation estimates, and relationships of H
ICESat to basal area weighted mean tree height given in the forest inventory database (H
FI) and to the 95th percentile of the vertical distribution of airborne laser scanning pulse return (H
ALS). The other explanatory variables were the ICESat-2 ATLAS observation geographic location, ICESat-2 ATLAS track and beam energy indicators, forest canopy cover, evergreen coniferous tree dominance indicator, and deep peat soil indicator. The linear model between the Estonian digital terrain model elevation and ATL08 ground elevation had a determination coefficient of R2=99.97% and residual standard error of δ=0.51 m when a geographic location was included. The H
FI can be predicted from H
ICESat with R2=85% and δ=2.7 m. A comparison of means indicated that, on average, H
ICESat was about 0.3 m greater than H
FI. All the predictive variables (except the geographic location) were significant in canopy height models, and the best models fitted H
ICESat with R2=95% and δ=1.6 m, however, there was no notable increase in R2 if more predictors than H
ALS were added in the models. In practical applications using ATL08 data for forest inventories, the inclusion of weak energy beam observations increases the number of observations, but the beam energy indicator has to be included in the models.
Three decades of research efforts on the uses, conservation, and management of Cola nitida (Vent.): State of knowledge and prospects in Africa
Authors: Tokannou Isabelle E.T. , Sanogo Souleymane , Houndonougbo Juliano S.H. , Salako Kolawolé Valère , Fandohan Adandé Belarmain
Published: January 2025

Cola nitida is a key multipurpose fruit tree species widely distributed across African countries. Several studies have investigated different aspects of the species, but there is a lack of synthesis on the current state of available literature and prospects for sustainable conservation and management of the species. Using the PRISMA approach for systematic review over the last three decades (1990–2022) in Africa, this study gathered key existing research findings on C. nitida. A total of 280 scientific publications were finally retained for this review. Several studies were focused on the socio-economic importance of the species (n = 139 ~ 50%), nutritional and chemical properties of its organs (n = 48 ~ 17%), improvement of its propagation methods (n = 30 ~ 11%), pest and pesticide control (n = 39 ~ 14%), morphological and genetic diversity (n = 21 ~ 7.5%), its botanical description and ecology (n = 2 ~ 0.7%), and climate change threats on the species (n = 1 ~ 0.3%). The review revealed a gap in knowledge on the methods for improving the species’ resilience to climate variability. Future research on the species should focus on its ecophysiological traits, the identification of elite accessions, and the type of agroforestry system that could optimize its productivity. The review provides a baseline for developing innovative management programs for C. nitida in Africa. Moreover, it highlights the need for more research efforts in the Central and East African native range of the species.
SEGNN4SLP: Structure Enhanced Graph Neural Networks for Service Link Prediction
Authors: Lin Yuxi , Li Mengfei , Chen Nuo
Published: January 2025

For the provision of accurate link prediction, this study's neural network-based method for API recommendation uses structure encoding to capture topological context. SEGNN4SLP, a Graph Neural Network (GNN) framework that integrates node attributes and graph structure to enhance GNNs' link prediction skills, makes a substantial contribution. Utilizing an actual dataset with 21,900 APIs, 6,435 Mashups, and 13, 340 interactions, ProgrammableWeb.com was the source of the evaluation. Eighty percent of the data were test sets and twenty percent were training sets after single API-invocation Mashups were eliminated. The results demonstrate high link prediction accuracy, which is attributed to the incorporation of structural encoding in embedding learning and improved collaborative signal extraction from users and APIs, which improves API recommendation performance overall.
Improvement of Helmet Detection Algorithm Based on YOLOv8
Authors: Li Danyang , Wang Jianguo
Published: January 2025

In order to solve the problems of safety helmets in complex factory environments due to the complex background, dense targets, etc., which cause the YOLOv8s algorithm to be prone to leakage and misdetection, and low recognition accuracy, a safety casque detection algorithm based on the YOLOv8s improved YOLOv8s-improved is proposed. By incorporating a deformable convolutional module into the backbone network of YOLOv8s, the occurrences of false negatives and false positives are effectively reduced, and detection accuracy is enhanced. To tackle the issue of small target detection being easily disturbed by image backgrounds and noise, the CBAM attention mechanism is embedded to sift out the relatively important information from a large amount of information, and enhances the ability of helmet information extraction; for the problem that the loss of small target classification and localization is not easy to calculate, a new For the problem of small target classification and localization loss is not easy to calculate, a new IoU loss function is introduced to improve the training effect of the model. The experiment shows that the detection accuracy mAP of the improved YOLOv8s algorithm in this paper is 1.3% higher than that of the original YOLOv8s algorithm. Experimental results have shown that the improved algorithm proposed in this paper not only reduces false positives and false negatives in helmet wearing detection, but also enhances the detection capability for small targets, thus improving the performance of helmet wearing detection to a certain extent.
Cognitive Map Construction Based on Grid Representation
Authors: Du Yuxin , Yao Hongge
Published: January 2025

This paper investigates a grid-representation-based approach to spatial cognition for intelligent agents, aiming to develop an effective neural network model that simulates the functions of the olfactory cortex and hippocampus for spatial cognition and navigation. Despite progress made by existing models in simulating biological nervous system functions, issues such as model simplification, lack of biological similarity, and practical application challenges remain. To address these issues, this paper proposes a neural network model that integrates grid representation, reinforcement learning, and encoding/decoding techniques. The model forms a grid representation by simulating the integration of grid cells in the medial entorhinal cortex (MEC) with perceptual information from the lateral entorhinal cortex (LEC), which encodes and retains spatial location information. By leveraging attractor networks, convolutional neural networks (CNNs), and multilayer perceptrons (MLPs), the model achieves the storage of spatial location and environmental information, as well as the construction of cognitive maps. The experimental results show that after using this model, the map generation accuracy increased by 15%, the navigation accuracy of the agent in complex environments by 20%, and the target localization error was reduced to less than 10%, demonstrating a significant overall performance improvement in the grid-based cognitive map construction.
A Novel Variance Reduction Proximal Stochastic Newton Algorithm for Large-Scale Machine Learning Optimization
Authors: Ahmed Mohammed Moyed
Published: January 2025

This paper introduces the Variance Reduction Proximal Stochastic Newton Algorithm (SNVR) for solving composite optimization problems in machine learning, specifically minimizing F(w) + Ω(w), where F is a smooth convex function and Ω is a non-smooth convex regularizer. SNVR combines variance reduction techniques with the proximal Newton method to achieve faster convergence while handling non-smooth regularizers. Theoretical analysis establishes that SNVR achieves linear convergence under standard assumptions, outperforming existing methods in terms of iteration complexity. Experimental results on the "heart" dataset (N=600, d=13) demonstrate SNVR's superior performance: Convergence speed: SNVR reaches optimal solution in 5 iterations, compared to 14 for ProxSVRG, and >20 for proxSGD and ProxGD. Solution quality: SNVR achieves an optimal objective function value of 0.1919, matching ProxSVRG, and outperforming proxSGD (0.1940) and ProxGD (0.2148). Efficiency: SNVR shows a 10.5% reduction in objective function value within the first two iterations. These results indicate that SNVR offers significant improvements in both convergence speed (180-300% faster) and solution quality (up to 11.9% better) compared to existing methods, making it a valuable tool for large-scale machine learning optimization tasks.
Interobserver and sequence variability in the delineation of pelvic organs at risk on magnetic resonance images
Authors: Zheng Wanjia , Yang Xin , Cheng Zesen , Lian Jinxing , Li Enting , Mo Shaoling , Liu Yimei , Huang Sijuan
Published: January 2025

Background

This study evaluates the contouring variability among observers using MR images reconstructed by different sequences and quantifies the differences of automatic segmentation models for different sequences.

Patients and methods

Eighty-three patients with pelvic tumors underwent T1-weighted image (T1WI), contrast enhanced Dixon T1-weighted (T1dixonc), and T2-weighted image (T2WI) MR imaging on a simulator. Two observers performed manual delineation of the bladder, anal canal, rectum, and femoral heads on all images. Contour differences were used to analyze the interobserver and intersequence variability. A single-sequence automatic segmentation network was established using the U-Net network, and the segmentation results were analyzed.

Results

Variability analysis among observers showed that the bladder, rectum, and left femoral head on T1WI yielded the highest dice similarity coefficient (DSC) and the lowest 95% Hausdorff distance (HD) (all three sequences). Regarding sequence variability analysis for the same observer, the difference between T1WI and T2WI was the smallest. The DSC of the bladder, rectum, and femoral heads exceeded 0.88 for T1WI–T2WI. The differences between automatic segmentations and manual delineations were minimal on T2WI. The averaged DSC of automatic and manual segmentation of all organs on T2WI exceeded 0.81, and the averaged 95% HD value was lower than 7 mm. Similarly, the sequence variability analysis of automatic segmentation indicates that the automatic segmentation differences between T2WI and T1WI are minimal.

Conclusions

T1WI and T2WI yielded better results in manual delineation and automatic segmentation, respectively. The analysis of variability among three sequences indicates that the yielded good similarity outcomes between the T1WI and T2WI cases in manual and automatic segmentation. We infer that the T1WI and T2WI (or their combination) can be used for MR-only radiation therapy.
Predictive Analytics in Finance Using the Arima Model. Application for Bucharest Stock Exchange Financial Companies Closing Prices
Authors: Spulbar Cristi , Ene Cezar Cătălin
Published: January 2025

Stock markets can be volatile, thus accurate predictions can greatly help investors and stakeholders to make wise financial choices. The main goal of this paper is to test how well the Autoregressive Integrated Moving Average (ARIMA) model can capture and predict changes in closing prices. The ARIMA model is the combination of autoregressive (AR) and moving average (MA) processes of an integrated or differenced time series model. Moreover, the selected model is part of the time series analysis under prediction algorithms, the purpose of the research being to predict the prices of the selected shares. Our analysis compiles daily trading data of financial companies on the BSE using a quantitative methodology. We preprocess the dataset to ensure reliability and accuracy, then conduct an exploratory data analysis to identify underlying patterns and correlations. Next, we use the ARIMA model, carefully optimizing the parameters through selection and a validation process, to forecast the closing prices over a 30-day period, we also evaluate the model’s performance. The preliminary results show that the ARIMA model seems to be efficient at predicting closing stock prices accurately. The model appears to understand the patterns and fluctuations in the stock market data, which gives useful information about future price changes. The forecasts we generated show similarities with the real market results, capturing important patterns, and making it a viable option for forecasting market performance.
Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature
Authors: Girlovan Aura , Horobet Alexandra , Botoroga Cosmin-Alin , Belascu Lucian , Lucian Paul
Published: January 2025

This paper portrays the role of the interplay between artificial intelligence and human resources as evidenced by an extensive review of academic literature. The study investigated 402 abstracts of scholarly articles published in the Business Management and Accounting domain of the Scopus database spanning from 2000 to 2023. Using QDA Miner 2024, a novel approach based on content, link, and proximity analysis was employed to conduct the literature review. Three major findings were revealed by our investigation. First, while codes such as ‘AI’ and ‘employees’ dominate the academic discourse, there is an evolving trend toward more sophisticated analyses of AI-human resources interactions, including their impact on business strategies and performance. Second, research methods show significant diversification over time, going from more descriptive approaches to sophisticated quantitative and qualitative methodologies. Third, several areas appear to lack research focus, such as the connection between employee recruitment and future career paths with AI and business progress. The findings contribute to understanding how the technological revolution shapes business operations, particularly workforce management, while highlighting the need for structural reforms in organizational approaches to AI adoption, and provide valuable insights for both scholars and practitioners interested in the integration of AI in human resource management.
Contribution of Personnel Management to the Generation of Innovation Capabilities in Medium and Large Companies in Colombia
Authors: Rubio-Rodríguez Gustavo Adolfo , Ortiz Yeison Farid Méndez , Cardoso Elizabeth Palma , Perdomo Efraín Enrique Granados
Published: January 2025

The purpose of this research is to determine the contribution of human resources management in the development of innovative capabilities in medium and large companies in the city of Ibagué, Colombia. The study is exploratory and uses a mixture of quantitative techniques for its development, being non-experimental. The study population is made up of 107 medium-sized companies and 23 large companies in the city of Ibagué. Since the population to be studied is finite and known, a stratified random probability sampling with finite population adjustment is carried out, since the possibility of selecting one or another element is equal. In addition, the aim is to ensure that all the units of analysis (medium and large companies) are duly represented. The results showed that businessmen understand the importance of human resources management and innovation for the organization; most managers recognize that, through human resources management, employees are capable of innovating in all areas in which they work. However, their development has been stagnated in some cases due to lack of management within the organization itself.
Role of Microfinance in Entrepreneurial Development in Low-Income Areas
Authors: Ullah Saif , Ali Mirza Raza , Sidiki Shehla Najeeb
Published: January 2025

This study examines microfinance’s role in developing entrepreneurship in low-income areas. Entrepreneurship is one of the better ways to eradicate the most critical problems, such as poverty, income inequality, and unemployment. The study uses a paired sample t-test on 200 small entrepreneurs from low-income areas to investigate the difference between before and after availing of a microfinance facility. Furthermore, the microfinance gap is calculated by taking feedback from entrepreneurs before and after getting the financing facility. The microfinance gap is employed to examine whether microfinance plays a role in developing entrepreneurial skills. The results show that the microfinance gap positively contributed to entrepreneurial development. The microfinance facility has proved to be a technique for entrepreneurial development for poor and young unemployed youth. MFIs are considered the best tool to reduce poverty and unemployment and increase entrepreneurial development.
The Effect of Managerial Ability on Risk Reporting in Indonesia: Evidence for Energy and Palm Oil Companies
Authors: Zairin Gentiga Muhammad , Khairunnisa Hera , Respati Dwi Kismayanti , Putri Nur Afni Camelia , Sang Lim Thien , Ulupui I Gusti Ketut Agung
Published: January 2025

Risk reporting is a critical aspect of risk management for energy and palm oil companies as they address complex industry challenges. This article examines the influence of management ability on risk reporting in both industries. The results show that managerial ability has an impact on credit risk assessment, risk behavior, financial reporting, timeliness, stock price crash risk, and tax results. Management’s discretionary disclosure behavior allows it to exercise subjectivity in determining both the content and manner of disclosure. This research identifies a risk reporting factor associated with competent managers that indicates their desire to disclose risk-related information in annual reports in highly competitive markets. This work complements previous research on competent managers in competitive markets and provides valuable insights into the risk reporting practices of highly skilled managers in such environments.
Influence of Organic Mulching on Soil Thermoregulation in the Tocantina Region of Maranhão
Authors: Santos Yuri Nascimento , Silva Cristiane Matos da , Viana Jonathan dos Santos , Silva Wilson Araújo da
Published: January 2025

Objective: This study investigates the influence of organic mulching on soil thermoregulation in the Tocantina Region of Maranhão, evaluating its thermal effects and implications for the sustainable management of agricultural production.
 
Theoretical Framework: The research discusses the benefits of mulching for sustainable agriculture, such as thermal regulation, moisture conservation, and soil biological activity, providing a solid foundation for the study. 
 
Methodology: The experiment was conducted at the Agricultural Sciences Center of UEMASUL, using two 1 m² plots: one covered with straw mulch and the other uncovered (control). Soil temperature measurements were taken at depths of 2.5 cm and 7.5 cm using a digital thermometer, with data collected every 5 minutes between 2:00 p.m. and 3:00 p.m. 
 
Results and Discussion: Organic mulch significantly reduced soil temperature, with an average of 36.13°C in covered areas compared to 48.09°C in uncovered ones. Depth also influenced temperature, with the mulch showing a more pronounced effect. These findings were contextualized within the theoretical framework, highlighting practical implications and study limitations. 
 
Implications: The research provides insights into agricultural management practices, emphasizing thermal efficiency, water conservation, increased productivity in tropical climates, sustainability, and adaptation to climate change. 
 
Originality/Value: This study contributes by exploring soil thermoregulation through organic mulching in a tropical region, promoting low-cost agricultural practices relevant to family farming and mitigating high temperatures.
Management of Waste Lubricating Oil and Its Packaging in the Municipality of Garanhuns-PE
Authors: Gonzaga Neide da Cruz , Vigoderis Ricardo Brauer , Molica Renato José Reis , Andrade Horasa Maria Lima da Silva , Bezerra João Vitor de Almeida , Souza José Nilton Silva de , Leite Glaudemir Santos , Lima Ayme Fernanda de Almeida Melo de , Silva José Robson Alves Ferreira da , Silva João Manoel da
Published: January 2025

Objective: The objective of the study was to analyze the management of waste from used or contaminated lubricating oil and its packaging in establishments that carry out lubricating oil changes in Garanhuns-PE.
 
Theoretical Framework: Used or contaminated lubricating oil and its packaging are classified, according to the Brazilian Association of Technical Standards, as hazardous waste, and legal requirements regarding their collection, treatment and final disposal must be followed. Incorrect environmental management of these wastes affects human health and the environment.
 
Method: The methodology was based on bibliographic review, data collection through questionnaires and use of geoprocessing technologies.
 
Results and Discussion: Mechanical workshops stood out as potential agents in the generation of waste and effluents (liquid, solid or gaseous), which do not receive adequate treatment before being released into the natural environment, putting at risk the quality of water bodies and their preservation for use by current and future generations.
 
Research Implications: Assist in studies related to activities that produce potentially polluting loads, resulting from human intervention, in areas susceptible to the risk of water contamination in the municipality of Garanhuns.
Originality/Value: This unprecedented study in the municipality of Garanhuns-PE, may contribute to guiding possible actions by the public authorities regarding future inspection and monitoring interventions of activity performance in the urban environment.
Analysis of the Russian cosmetics market development and possibilities of implementing a new business project
Authors: ASTAF’EVA Ol’ga V. , GASANOV Ziyad Z.
Published: January 2025

Subject. The article addresses the perfumery and cosmetics market development in Russia in the context of sanctions.
Objectives. The study aims to assess the activities of retailers and Russian manufacturers of cosmetic products.
Methods. The study employs content analysis and comparative analysis.
Results. The main advantage of the Russian cosmetics market is the ability to scale up business and automate workflows. Native advertising is one of the most effective ways to promote products. Competition between manufacturers in the Russian cosmetics market is becoming increasingly fierce.
Conclusions. Taking into account the current data, it is possible to create a successful brand that will occupy its niche in the market and provide a stable income in the long term.
PERAN POLA ASUH ORANGTUA DALAM PERKEMBANGAN KEMAMPUAN BICARA ANAK USIA 2-3 TAHUN
Authors: Hasiana Isabella
Published: January 2025

The ability to speak is one of the important developments for early childhood and will help childrensâ€™s socialization at the next stage. One of the ways to develop childrenâ€™s speaking skills is the role of parenting. Each family has a diffrenet parenting pattern in educating and caring for children where it has an impact on child development. The purpose of this study is to describe the role of parenting in the development of speech abilities of children aged 2-3 years. The method used in this study uses a qualitative approach. Data collection techniques were conducted through interviews with parents and significant other as well as observing childrenâ€™s speaking abilities. This research is limited to democratic and permissive parenting. The results of the study concluded that with differences in parenting patteris, it was found that there were diffrences in the development of speaking skills in early childhood. Parents with democratic parenting always communicate with their children and this makes the development of childrenâ€™s speech skills more optimal. Meanwhile, permissive parents tend to let their children behave as they please and spend more time with gadgets and it also affects their speaking ability. Along with the development of this study, it was found that birth order also had an influence on the development of childrenâ€™s speech abilities.
Conviviality, Family Arrangements and Gender Relations in Buenos Aires during the Covid-19 Pandemic
Authors: Piovani Juan Ignacio , Alzugaray Lucas , Peiró María Laura , Santa María Juliana
Published: January 2025

This article presents results for the Metropolitan Area of Buenos Aires, Argentina, from a survey on the effects of the Covid-19 pandemic on households, in relation to the distribution of domestic work and the use of spaces for teleworking. The study shows the persistence of gender inequalities in the distribution of domestic and care tasks, which even intensified during the pandemic, increasing the burden on women.
Molecular scattering function data of brain tissue
Authors: Böke Aysun
Published: January 2025

The interaction of photons with matter is of great importance for the study of energy transfer to the medium. The most sensitive studies on energy transfer are Monte Carlo simulation applications. In Monte Carlo modeling, the calculation of incoherent scattering is important. The incoherent scattering of a photon in a medium is decisive in terms of scattering angle and energy transfer to the medium. By incorporating the incoherent scattering coefficients into the Monte Carlo modeling program, it will be possible to determine the attenuation properties of photons of different energies interacting in the matter. In this study, incoherent scattering functions necessary for calculating molecular incoherent scattering coefficients were obtained by using atomic data according to the molecular content of white and gray brain matter. We believe that our results can be used and will be beneficial for researchers who make models and work experimentally.
Some efficient schemes of variational iteration method for handling Schrödinger equations in quantum mechanics
Authors: Güleroğlu Arzu , Güneş Zaralı Ece
Published: January 2025

At the atomic level, one of the fundamental differential equations that describe the universe and everyday life is the Schrödinger equation in quantum mechanics. Solutions of Schrödinger equations have attracted the attention of researchers. In this study, the variational iteration method is used to handle three dimensional linear and nonlinear time dependent Schrödinger equations. Different iteration formulas have been constructed with the Lagrange multipliers. The accuracy of the approximate solutions obtained by using different iteration formulas of the variational iteration method is given with numerical examples. Comparisons of approximate solutions and exact solutions are shown with graphs. In addition, absolute error tables are included for these comparison results. As a result, it is seen that the variational iteration method gives approximations that converge to the exact solution more rapidly thanks to different iteration formulas.
Synthesis and characterization of gelatin-based quaternizable hydrogels
Authors: Bat Özmatara Merve , Özpolat Merve , Gevrek Tuğçe
Published: January 2025

Gelatin, a water-soluble natural polymer with excellent film-forming properties, exhibits high biocompatibility due to its amino acid composition, which closely resembles that of proteins. However, gelatin has poor mechanical properties and poses a risk of bacterial infection when films are composed solely of gelatin. In this study, gelatin-based crosslinked polymers with quaternary amine groups, exhibiting potential antibacterial properties, were developed. To achieve this, gelatin was first modified with methacrylate via an isocyanate-amine reaction, and the resulting material was characterized using Fourier-transform infrared spectroscopy (FTIR) and nuclear magnetic resonance spectroscopy (NMR). Hydrogels were successfully synthesized by photopolymerization of gelatin methacryloyl, with a tertiary amine-containing monomer and a four-arm crosslinker, and characterized using FTIR, scanning electron microscope (SEM), and thermogravimetric analysis (TGA). Subsequently, the hydrogel was prepared as a film on a glass surface, and quaternization of the tertiary amine groups imparted polycationic properties to the hydrogel coatings, enabling further investigation into their antibacterial potential.
Production planning optimization with fuzzy analytic hierarchy process and genetic algorithm
Authors: Yiğit Fatih , Lazarevska Ana M.
Published: January 2025

Proper production planning is essential for improving productivity and lowering resource (material, energy, employees) related costs in the highly competitive business world. Dealing with the challenges of asymmetric setup times—where the time required to switch between manufacturing different products varies —makes this task much more difficult. Conventional planning techniques frequently ignore these articulations and produce sub-optimal schedules. This paper proposes a novel approach to tackle the following challenge: optimizing production planning using the Fuzzy Analytic Hierarchy Process (FAHP) with asymmetric setup times and Genetic Algorithm (GA). The proposed methodology involves a step-by-step process. The first stage defines key objectives: makespan, total waste cost, and maximum weighted tardiness. Decision-makers compare the relative importance of each criterion within its hierarchy level using fuzzy numbers. The consistency of these comparisons is assessed using fuzzy consistency ratio computations. At the same time, the overall priority weights for each production planning alternative are determined by summing fuzzy judgments across the hierarchy. In the second stage, the production plan is optimized using GA, considering sequence and lot size variables and asymmetric setup times, by applying the computed weights. The comparisons are performed using the proposed approach with the optimum solution.
Mimari tasarım bürolarının kurumsal çevrenin zorlayıcı baskısına karşı stratejik tepkileri
Authors: Çivici Tülay , Kale Serdar
Published: January 2025

Bu çalışmada mimari tasarım bürolarının faaliyet gösterdiği kurumsal çevrelerinde karşılaştıkları baskılara karşılık verdikleri stratejik tepkiler incelenmiştir. Çalışmada tasarım odaklı pratik alanları olan mimari tasarım bürolarının öncelikli kurumsal çevre unsuru yapı ve imar yönetmeliklerine karşı izledikleri stratejiler araştırılmıştır. Anket yöntemiyle araştırma verileri toplanmıştır. Elde edilen veriler istatistiksel yöntemlerle analiz edilmiştir. Araştırma bulgularına göre mimari tasarım büroları kurumsal çevrelerinde pasif bir yaklaşım göstermektedir.
Investigation of the effects of fabric structural parameters on the roughness of coated fabrics
Authors: Akgün Mine , Manasoğlu Gizem , Kanık Mehmet
Published: January 2025

In this study, the effects of the weave structures used in the base fabric on the surface roughness parameters of coated polyester fabrics were investigated. 100% polyester fabrics woven with different weft yarn densities in the basket, twill, and sateen weave patterns were coated with calcite (CaCO3), a widely used and economical filler in the textile coating. The surface properties of the fabrics were examined by evaluating various surface roughness parameters such as arithmetic average height (Ra), mean height of peaks (Rpm), and mean depth of valleys (Rvm). Warp yarn properties were kept constant to investigate the effect of changes in weave pattern and weft yarn density. Experimental results indicated that surface roughness values changed depending on the weave pattern of the base fabric, warp and weft directions, and weft yarn density. Overall, after the coating process, the Ra, Rpm, and Rvm values decreased in both the weft and warp directions.
Optimal sizing of energy resources considering configuration of energy storage systems in a microgrid
Authors: M Ali A. , AGAGI T , Ibrahim Mohammad Suleiman , Alsayahe Ahmed M. , Al Oraini Badrea , Vasudevan Asokan , Ballal Suhas , Singh Abhayveer , Sunitha S. , Ray Subhashree
Published: January 2025

This paper studies the critical topic of optimal sizing of energy resources, focusing specifically on the configuration of storage system solutions within a microgrid framework. A microgrid is a localized energy system that can operate independently or in conjunction with the main power grid, and it is increasingly recognized for its potential to enhance energy resilience, efficiency, and sustainability. In this study, we examine a microgrid that integrates three key components: photovoltaic (PV) systems, battery storage, and fuel cell (FC) systems. Each of these technologies plays a vital role in the overall energy management strategy of the microgrid. In addition to installation costs, we also focus on minimizing net present costs (NPC), which encompass the total cost of ownership over the lifespan of the energy systems, including initial capital expenditures, operational and maintenance costs, and any potential revenue from energy sales or savings. By carefully analyzing the trade-offs between different system configurations, we seek to identify the most economically viable options. Another critical metric we consider is the loss of load expectation (LOLE), which quantifies the reliability of the energy supply. LOLE represents the expected number of hours per year during which the energy demand exceeds the available supply. By minimizing LOLE, we enhance the reliability and stability of the microgrid, ensuring that it can meet the energy needs of its users even during periods of high demand or low generation. Through a comprehensive analysis of these factors, this paper aims to provide valuable insights into the optimal sizing of energy resources within microgrids. By leveraging advanced modeling techniques and optimization algorithms, we seek to identify configurations that not only reduce costs but also enhance the overall performance and reliability of hybrid energy systems. Ultimately, our findings will contribute to the ongoing efforts to develop sustainable and resilient energy solutions that can meet the challenges of a rapidly changing energy landscape. The teaching-learning-based optimization (TLBO) metaheuristic algorithm is employed for configuring microgrids. Results from the algorithm demonstrate that TLBO offers a more effective resource configuration than alternative approaches.
FROM COMPLICIT JOURNALISM TO MILITANT JOURNALISM
Authors: Orchard Ximena , Fergnani Mario
Published: January 2025

ABSTRACT – In this article we identify how critical discourses about the media and journalists are articulated on social media by political actors. We also analyze how such expressions of media criticism coexist with other strategic uses of news content in politicians’ social media repertoires. The argument is based on a qualitative analysis of media-related Twitter posts (N=2062), from the 50 most active politicians’ Twitter accounts in the month following the Chilean social uprising of October 2019. Our findings reveal that criticism of journalism came from both ends of the political spectrum, despite news about the protests being regularly shared and used as factual support for informing followers, position-taking, criticizing adversaries, and self-promotion. We discuss how these forms of politicians’ interactions with the news operate as challenges to the authority of journalistic work.
RESUMO – Neste artigo identificamos como os atores políticos articulam discursos críticos sobre a mídia e os jornalistas nas redes sociais, e como tais expressões de crítica da mídia coexistem com usos estratégicos de conteúdos noticiosos nos repertórios de mídia social dos políticos. O argumento baseia-se numa análise qualitativa de mensagens publicadas (N=2062), pelas 50 contas mais ativas de políticos no Twitter no mês seguinte à revolta social chilena de outubro de 2019. As nossas conclusões revelam que as críticas ao jornalismo vieram de ambos os extremos do espectro político, apesar de as notícias sobre os protestos terem sido regularmente partilhadas e utilizadas como apoio factual para informar os seguidores, tomada de posição, crítica aos adversários e autopromoção. Discutimos como estas formas de interação dos políticos com as notícias operam como desafios à autoridade do trabalho jornalístico.
RESUMEN – En este artículo identificamos cómo los actores políticos articulan discursos críticos sobre los medios y los periodistas en redes sociales, y cómo estas expresiones de crítica coexisten con usos estratégicos de las noticias en sus repertorios de redes sociales. El argumento se basa en un análisis cualitativo de mensajes (N=2062), publicados por las 50 cuentas de Twitter de políticos más activas en el mes posterior al estallido social chileno de octubre de 2019. Nuestros hallazgos revelan que las críticas al periodismo provinieron de ambos extremos del espectro político, a pesar de que las noticias sobre las protestas se compartieran regularmente y se usaran como apoyo factual para informar seguidores, para la toma de posiciones, la crítica a los adversarios y la autopromoción. Discutimos cómo estas formas de interacción de los políticos con las noticias operan como desafíos a la autoridad del trabajo periodístico.
MINOCA: Predictors and Future Management
Authors: Squires Iman , Khalil Samer , Patel Akash , Katukuri Neelima
Published: January 2025

Myocardial infarction (MI) with non-obstructive coronary arteries (MINOCA), identified by clinical documentation of an acute MI without significant coronary artery obstruction (stenosis <50%) on coronary angiography, is an evolving area of cardiovascular medicine. MINOCA poses a substantial challenge as there remains uncertainty in valid clinical diagnostic criteria and treatment strategies. Unfortunately, those with this condition experience high rates of mortality, re-hospitalization, worse quality of life, and poor prognosis. Effective management currently aims at identifying the underlying mechanism of the infarction, which can be caused by a variety of factors. This review will discuss the latest in pathophysiology, diagnostic techniques, management and future research of patients with MINOCA.
Northern Sea Route: legal issues
Authors: Battakhov P. P. , Ovchinnikova Yu. S.
Published: January 2025

The article notes that in modern conditions, the involvement of huge areas of the Arctic with its natural resources in full-fledged production activities is one of the strategic tasks of the state. The involvement of the Arctic region in production activities should be understood as the development of deposits of raw materials, the development of transport and telecommunications infrastructure, the development of research activities, ensuring a favorable environmental situation, and ensuring the security of national borders. The development of the Northern Sea Route is also related to this goal. It is noted that the presence of special risks in the water area of the Northern Sea Route increases the possibility of emergency situations, the result of which may be the infliction of various kinds of damage (harm). In the context of the Northern Sea Route, vessel owners are obligated to possess liability insurance. This insurance is of particular importance in ensuring the protection of third parties during transportation along the Northern Sea Route. It has been demonstrated that the insurance of both property and cargo on board ships plays a significant role in the operation of the Northern Sea Route. The primary challenges associated with this particular insurance category and their potential resolutions are emphasised.
СТУПЕНИ ПАДЕНИЯ ИЛИ ФАШИЗМ НА УКРАИНЕ (ОТ Л.КРАВЧУКА ДО В. ЗЕЛЕНСКОГО)
Authors: Бруз В.В. , Солодилов А.В.
Published: January 2025

В статье на основе анализа исторических фактов рассмотрены закономерности возникновения фашизма и характерные признаки его проявления в Украине, некогда братской стране при попустительстве ряда недружественных стран. В условиях проведения Специальной военной операции они пытаются в предверии 80 –летия Великой победы всячески защищать нелегитимное руководство Украины, оказывая прямую политическую и военную помощь, а также заявляют, что никакого проявления фашизма в стране нет. Статья полностью подтверждает обратное.

Based on the analysis of historical facts, the article examines the patterns of the emergence of fascism and the characteristic signs of its manifestation in Ukraine, once a fraternal country with the connivance of a number of unfriendly countries. In the context of a Special military operation, they are trying to defend the illegitimate leadership of Ukraine in every possible way on the eve of the 80th anniversary of the Great Victory, providing direct political and military assistance, and also declare that there is no manifestation of fascism in the country. The article fully confirms the opposite.
ПСИХОЛОГИЧЕСКАЯ СЕПАРАЦИЯ ОТ РОДИТЕЛЕЙ: ПОНЯТИЕ, КРИТЕРИИ И ПОСЛЕДСТВИЯ
Authors: Косолапова А.В.
Published: January 2025

В статье представлен анализ литературных источников, посвященных проблеме психологической сепарации от родителей. Раскрываются основные подходы к определению данного понятия и выделению критериев успешного сепарационного процесса. Рассматриваются последствия незавершенной сепарации как для детей, так и для родителей, а также ошибки родителей, мешающие данному процессу. Отмечается, что психологическая сепарация от родителей – это важный и многогранный процесс, который происходит в жизни каждого человека и требует не только понимания со стороны детей, но и готовности родителей адаптироваться к новым условиям. Он начинается в подростковом возрасте и продолжается в ранней взрослости, когда молодые люди начинают осознавать свою индивидуальность и стремятся к автономии. При этом максимальная сепарационная активность человека совпадает с окончанием юношества (студенческого возраста). Многие исследователи рассматривают данный период в качестве нормативного кризиса переходного периода (юношество – ранняя взрослость), в ходе которого молодые люди заканчивают учебное заведение и впервые сталкиваются со сложностями, которыми полна самостоятельная жизнь. Подчеркивается, что определяющую роль в достижении личностной зрелости и обретении жизнеспособности молодыми людьми, которые готовы брать на себя производственные и социальные задачи, играет процесс сепарации от родителей, что актуализирует исследования взаимосвязи данных психологических феноменов.

The article analyzes literary sources devoted to the problem of psychological separation from parents. The main approaches to the definition of this notion and the allocation of criteria of successful separation process are revealed. The consequences of incomplete separation for both children and parents are considered, as well as parental mistakes that hinder this process. It is noted that psychological separation from parents is an important and multifaceted process that occurs in the life of every person and requires not only understanding on the part of children, but also the readiness of parents to adapt to new conditions. It begins in adolescence and continues in early adulthood, when young people begin to realize their individuality and strive for autonomy. The maximum separative activity of a person coincides with the end of adolescence (college age). Many researchers consider this period as a normative crisis of the transition period (adolescence - early adulthood), during which young people graduate from educational institutions and for the first time face the complexities of independent life. It is emphasized that the process of separation from parents plays a decisive role in achieving personal maturity and gaining viability of young people who are ready to take on production and social tasks, which actualizes the research of interrelation of these psychological phenomena.
ЭМПИРИЧЕСКОЕ ИССЛЕДОВАНИЕ ВЗАИМОСВЯЗИ КУЛЬТУРНОЙ КОНГРУЭНТНОСТИ И ДИВЕРГЕНТНОГО МЫШЛЕНИЯ ПОДРОСТКОВ
Authors: Ганиева А.М.
Published: January 2025

В статье проводится анализ исследований, посвященных изучению креативности и конгруэнтного поведения подростков, соответствующих культурным правилам. На основе эмпирического исследования, целью которой было изучить характер различий культурной конгруэнтности и дивергентного мышления представителей старшего и младшего пубертатного возраста, установлено, что характеристики культурной конгруэнтности и креативного мышления подростков имеют значимые различия по общей культурной конгруэнтности и ее составляющим в сфере учебы, самоорганизации, социального взаимодействия и безопасного поведения, а также по дивергентности мышления. В исследовании принимали участие 108 подростков, в возрасте 14,73+1,24. Первая группа подростков – младшие подростки 13-14 лет, вторая группа – старшие подростки 15-16 лет. Перечень методик, которые применялись в рамках эмпирического исследования: методика Л.Ф. Баяновой и О.Г. Миняева «Определение уровня культурной конгруэнтности для подростков»; тест Х. Зиверт «Определение творческих способностей»; методика Н.А. Батурина и Е.Л. Солдатовой «Диагностика дивергентного мышления». Материал направлен на совершенствование системы психологического сопровождения, образования и воспитания подростков. Результаты могут быть использованы специалистами, работающими с подростками и родителями, воспитывающих детей подросткового возраста.

This article reviews research focused on the study of creativity and congruent behavior in adolescents who adhere to cultural norms. Based on an empirical study examining the differences in cultural congruence and divergent thinking between younger and older adolescents, it was found that the characteristics of cultural congruence and creative thinking among adolescents have significant differences in general cultural congruence and its components, such as learning, self-organization, social interaction, and safe behavior, as well as in divergent thinking. The study involved 108 adolescents, aged 14.73+1.24. The first group consisted of younger adolescents aged 13-14 years, while the second group included older adolescents aged 15-16 years. This material aims to contribute to enhancing the system of psychological support, education and upbringing of adolescents. The findings may be valuable for specialists working with teenagers and for parents raising adolescent children.