bluuebunny/crossref_metadata_2025 huggingface dataset:
Green Organizational Climate’s Promotion of Managers’ Organizational Citizenship Behavior for the Environment: Evidence from the Portuguese Hospitality Context
Authors: Henriques Inês , Mouro Carla , Duarte Ana Patrícia
Published: November 2024

Society at large has become increasingly concerned about climate change and sustainable development, so tourism and travel service providers have begun to focus more actively on sustainable development goals. Prior research has shown that supervisors’ support fosters employee green behavior and companies’ environmental performance. This study concentrated on Portuguese hospitality contexts to develop a fuller understanding of how organizations’ green efforts can combine with the individual variables highlighted by the theory of planned behavior (TPB) (i.e., attitudes, subjective norms, and perceived behavioral control) to encourage supervisors’ organizational citizenship behavior for the environment (OCBE). Data on 74 hotel managers were collected with an online survey. Multiple regression analysis revealed that perceived green organizational climate positively correlates with TPB variables, thereby increasing supervisors’ intention to adopt and encourage OCBE in their workplaces. These findings clarify how organizational and individual factors foster managers’ OCBE. The results have practical implications for organizations seeking to promote their managers’ pro-environmental behavior to boost their environmental sustainability.
How Does Forgone Identity Dwelling Foster Perceived Employability: A Self-Regulatory Perspective
Authors: Zhou Wenxia , Feng Yue , Jiang Xinling
Published: November 2024

The dramatic changes in modern careers call for more knowledge about employability, a key indicator of career sustainability. In reply, this study introduces the recently developed concept of forgone identity dwelling (FID) into the employability debate and aims to explain whether and how FID promotes employees’ perceived employability. Specifically, we draw on a self-regulatory perspective to propose that FID may serve as a meaningful way to enhance employability through a proactive career self-regulatory pathway characterized by career crafting, especially for employees high in promotion regulatory focus. To investigate this, we used the method of a three-wave survey study conducted among 435 Chinese employees and tested the hypotheses using path analysis with Mplus. The findings showed that FID motivated the employees to engage in career crafting, which in turn positively affected their perceived employability. Furthermore, promotion focus strengthened the positive effects of FID, such that the employees high in promotion focus were more likely to translate FID into employability through career crafting. These results highlight the importance of leveraging FID experiences to enhance employees’ proactive behaviors and employability. This study is the first to link FID to sustainable career outcomes, inspiring future research to explore additional mechanisms for the nuanced effects of FID on career sustainability.
The Effect of Green Leadership Perception on Environmental Commitment, Awareness, and Employees’ Green Behavior in Hotel Businesses: Research from a Generation Cohort Theory Perspective
Authors: Orgun Emrah , Solunoglu Ali , Kutlu Didem , Kasalak Murat Alpaslan , Unal Aydın , Celen Onur , Gozen Erhan
Published: November 2024

This study was carried out to determine the relationships between green leadership perceived by hotel employees and environmental commitment, environmental awareness, and employees’ green behavior. In contrast to previous research in the literature, this study also examines the moderating role of generation in these relationships. The study was carried with employees of five-star hotel in Turkey. The data were analyzed with IBM SPSS AMOS 22 programs and significant effects between certain variables were detected. In addition, the research results indicate that generation has a moderating role in the relationships between green leadership, environmental awareness, and environmental commitment. As a result of the evaluation, a number of theoretical and practical contributions are presented for academicians working in the literature, sector representatives, and hotel business managers.
Do Fiscal Incentives Contribute to Pollution Control? Empirical Evidence from China
Authors: Tong Jinzhi , Yang Youyou , Zheng Chunhua , Zheng Minglan
Published: November 2024

Given the growing concerns over environmental degradation and the demand for sustainable development, the Chinese government has implemented several fiscal incentive policies to enhance environmental governance. Taking the phased comprehensive demonstration cities of the Energy Saving and Emission Reduction Fiscal Policy (ESERFP) as an exogenous shock, this study uses a staggered difference-in-differences method to evaluate the impact of the fiscal incentive policy on pollution control using panel data from 268 prefecture-level cities in China from 2003 to 2017. The results indicate that the industrial pollutant emissions in the demonstration cities significantly decreased compared with those in the non-demonstration cities under the influence of the ESERFP. Specifically, industrial wastewater discharges in the demonstration cities decreased by 15.5% while industrial sulfur dioxide emissions decreased by 19.5%. Moreover, promoting industrial structure upgrades and green technology innovations are the main mechanisms of the ESERFP in reducing industrial pollution emissions. Furthermore, the emission-reduction effect of the ESERFP is more significant in areas with more fiscal resources, lower promotion incentives based on local economic performance, greater emphasis on environmental protection, and those with no old industrial bases. Further analysis shows that the positive effect of the ESERFP on pollution control in the demonstration cities remains relatively effective after the demonstration period ends, and the policy does not sacrifice economic dividends. Overall, this study explores the impact of fiscal incentive policies designed to achieve environmental improvements via pollution control, offering valuable fiscal policy insights for China and other developing economies seeking solutions to environmental pollution, including fiscal incentive policy formulation and implementation, fiscal incentives to support regional green transformations, improving the differentiation and precision of fiscal incentives and enhancing environmental performance assessment.
Evaluation of the Interest and Perception of Tourism Service Providers in Los Cabos, Baja California Sur, Mexico, Regarding the Alternative Use of Biofuels
Authors: Lucero-Rouzaud Esteban Alberto , Arce-Amezquita Pablo Misael , Torres-Ochoa Erika
Published: November 2024

This study addresses the need to implement sustainable alternatives in marine vessels, particularly in vulnerable environments, highlighting the potential of biofuels as a viable option for the transition towards renewable energy. The objective of the research was to evaluate the interest and perception of tourism service providers in Los Cabos, B.C.S., Mexico, regarding the alternative use of biofuels in their vessels. A total of 56 random surveys were applied and validated, and the results were as follows: 92% consider fuel to be their largest operational cost, 84.6% acknowledge that their activities impact the environment, and 80% are aware of biodiesel biofuel. Notably, more than 94% expressed interest in learning how to produce biodiesel and in using it as an alternative in their operations, while 95% believe that the use of biofuels could be a positive differentiating feature for their businesses, contributing to an eco-friendlier service. This introductory assessment is crucial as it highlights the importance of understanding the willingness of key stakeholders before adopting new technologies. It concludes that there is strong interest in exploring and adopting sustainable alternatives, reinforcing the need for further research to provide viable solutions, promoting a circular economy and fostering sustainable tourism in alignment with the Sustainable Development Goals.
Multi-Scale Supply and Demand Relationships of Ecosystem Services Under Multiple Scenarios and Ecological Zoning to Promote Sustainable Urban Ecological Development in Arid Regions of China
Authors: Duan Yuefan , Halike Abudureheman , Luo Jianmei , Yao Kaixuan , Yao Lei , Tang Hua , Tuheti Buweiayixiemu
Published: November 2024

Predicting and analyzing the supply and demand relationship of ecosystem services provides theoretical support for the improvement of the ecological environment. This paper takes Bortala, a typical oasis city with a fragile ecological environment in the arid northwest region, as a case study. Based on the GMOP-PLUS-InVEST coupled model, it predicts the coupling coordination and matching degree of the supply and demand connection of ecosystem services such as habitat quality (HQ), carbon storage (CS), water yield (WY), and soil erosion (SD) under four scenarios. The findings indicate that from 2020 to 2035, HQ, CS, and WY have basically achieved coupling coordination at both scales. However, there is a notable disparity in the supply and demand of water resource production and carbon emission production. To ensure the long-term balance of ecosystem service supply and demand (ESSD), the research area was ultimately divided into five ecological zones: ecological conservation zone, ecological agriculture zone, ecological moderate development zone, ecological improvement zone, and ecological protection zone. It could offer insights for guiding the sustainable growth of ecologically vulnerable zones in the future.
A Study of the Features of Coating Deposition on a Carbide Substrate Using Preliminary Etching with Glow-Discharge Plasma
Authors: Grigoriev Sergey , Volosova Marina , Bublikov Yuri , Sotova Catherine , Milovich Filipp , Seleznev Anton , Shmakov Ilya , Vereschaka Alexey
Published: November 2024

The properties of coatings obtained using two surface preparation methods were compared: heating and etching by ion bombardment with plasma generation by arc evaporators and heating and etching by a glow discharge. A Ti-TiN-(Ti,Cr,Al)N coating was deposited. The use of a glow discharge provides better resistance of the coating to destruction during the scratch test and wear resistance of metal-cutting tools when turning steel. As the cutting speed increases, the advantage in wear resistance of the coating deposited using a glow discharge increases. During the process of heating and etching by ion bombardment with metal ions, a nanolayer rich in cobalt and tooling elements (iron, molybdenum) is formed in the area of the interface of the coating and the carbide substrate. When heated and etched by a glow discharge, such a layer does not form. When using both methods, there is identical diffusion of tungsten into the coating and diffusion of chromium and possibly titanium into the substrate. Thus, the glow-discharge heating and etching method can be effectively used in the process of PVD coating deposition.
Exact and Data-Driven Lump Wave Solutions for the (3+1)-Dimensional Hirota–Satsuma–Ito-like Equation
Authors: Li Fengxiang , Wang Jieyi , Yang Yunqing
Published: November 2024

In this paper, the lump wave solutions for (3+1)-dimensional Hirota–Satsuma–Ito-like (HSIl) equation are constructed by employing the Hirota bilinear method and quadratic function approach, and the corresponding propagation behaviors and nonlinear dynamical properties are also investigated. At the same time, the physics informed neural network (PINN) deep learning technique is employed to study the data-driven solutions for the HSIl equation from the derived lump wave solutions. The machine learning results show high effectiveness and accuracy, providing new techniques for discussing more nonlinear dynamics of lump waves and discovering new lump wave solutions.
Optimizing Microservice Deployment in Edge Computing with Large Language Models: Integrating Retrieval Augmented Generation and Chain of Thought Techniques
Authors: Feng Kan , Luo Lijun , Xia Yongjun , Luo Bin , He Xingfeng , Li Kaihong , Zha Zhiyong , Xu Bo , Peng Kai
Published: November 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in autogenerating code based on natural language instructions provided by humans. We observed that in the microservice models of edge computing, the problem of deployment latency optimization can be transformed into an NP-hard mathematical optimization problem. However, in the real world, deployment strategies at the edge often require immediate updates, while human-engineered code tends to be lagging. To bridge this gap, we innovatively integrated LLMs into the decision-making process for microservice deployment. Initially, we constructed a private Retrieval Augmented Generation (RAG) database containing prior knowledge. Subsequently, we employed meticulously designed step-by-step inductive instructions and used the chain of thought (CoT) technique to enable the LLM to learn, reason, reflect, and regenerate. We decomposed the microservice deployment latency optimization problem into a collection of granular sub-problems (described in natural language), progressively providing instructions to the fine-tuned LLM to generate corresponding code blocks. The generated code blocks underwent integration and consistency assessment. Additionally, we prompted the LLM to generate code without the use of the RAG database for comparative analysis. We executed the aforementioned code and comparison algorithm under identical operational environments and simulation parameters, conducting rigorous result analysis. Our fine-tuned model significantly reduced latencies by 22.8% in handling surges in request flows, 37.8% in managing complex microservice types, and 39.5% in processing increased network nodes compared to traditional algorithms. Moreover, our approach demonstrated marked improvements in latency performance over LLMs not utilizing RAG technology and reinforcement learning algorithms reported in other literature. The use of LLMs also highlights the concept of symmetry, as the symmetrical structure of input-output relationships in microservice deployment models aligns with the LLM’s inherent ability to process and generate balanced and optimized code. Symmetry in this context allows for more efficient resource allocation and reduces redundant operations, further enhancing the model’s effectiveness. We believe that LLMs hold substantial potential in optimizing microservice deployment models.
Simulation and Optimization of Automated Guided Vehicle Charging Strategy for U-Shaped Automated Container Terminal Based on Improved Proximal Policy Optimization
Authors: Yang Yongsheng , Liang Jianyi , Feng Junkai
Published: November 2024

As the decarbonization strategies of automated container terminals (ACTs) continue to advance, electrically powered Battery-Automated Guided Vehicles (B-AGVs) are being widely adopted in ACTs. The U-shaped ACT, as a novel layout, faces higher AGV energy consumption due to its deep yard characteristics. A key issue is how to adopt charging strategies suited to varying conditions to reduce the operational capacity loss caused by charging. This paper proposes a simulation-based optimization method for AGV charging strategies in U-shaped ACTs based on an improved Proximal Policy Optimization (PPO) algorithm. Firstly, Gated Recurrent Unit (GRU) structures are incorporated into the PPO to capture temporal correlations in state information. To effectively limit policy update magnitudes in the PPO, we improve the clipping function. Secondly, a simulation model is established by mimicking the operational process of the U-shaped ACTs. Lastly, iterative training of the proposed method is conducted based on the simulation model. The experimental results indicate that the proposed method converges faster than standard PPO and Deep Q-network (DQN). When comparing the proposed method-based charging threshold with a fixed charging threshold strategy across six different scenarios with varying charging rates, the proposed charging strategy demonstrates better adaptability to terminal condition variations in two-thirds of the scenarios.
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
Authors: Chistyakova Anna , Antsiferova Anastasia , Khrebtov Maksim , Lavrushkin Sergey , Arkhipenko Konstantin , Vatolin Dmitriy , Turdakov Denis
Published: November 2024

The adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth research has examined adversarial training as a way to improve IQA model robustness. This study introduces an enhanced adversarial training approach tailored to IQA models; it adjusts the perceptual quality scores of adversarial images during training to enhance the correlation between an IQA model’s quality and the subjective quality scores. We also propose a new method for comparing IQA model robustness by measuring the Integral Robustness Score; this method evaluates the IQA model resistance to a set of adversarial perturbations with different magnitudes. We used our adversarial training approach to increase the robustness of five IQA models. Additionally, we tested the robustness of adversarially trained IQA models to 16 adversarial attacks and conducted an empirical probabilistic estimation of this feature.
Effect of Silver Nanoparticle Size on Antibacterial Activity
Authors: Ershov Vadim A. , Ershov Boris G.
Published: November 2024

The ubiquitous use of products containing AgNPs results in the entry of nanoparticles into the environment. Both nanoparticles and Ag+ released upon their oxidative dissolution have a toxic effect on living microorganisms. The antibacterial activity of spherical silver nanoparticles of 10.8 ± 0.8 nm and 22.7 ± 2.2 nm in size stabilized by carbonate ions was studied against Escherichia coli and other bacteria. The biocidal action of silver increases as the particle size decreases. Analysis of these results and other known data made it possible to substantiate a linear proportional relationship between the minimum inhibitory concentration (MIC) or the half-maximal inhibitory concentration (IC50) and silver nanoparticle size and determine empirical parameters for this relationship. The antibacterial activity (toxicity) is directly proportional to the specific surface area of nanosized silver.
Estimation of the Chances to Find New Phenomena at the LHC in a Model-Agnostic Combinatorial Analysis
Authors: Chekanov Sergei V.
Published: November 2024

In this paper, we estimate the number of event topologies that have the potential to be produced in pp collisions at the Large Hadron Collider (LHC) without violating kinematic and other constraints. We use numerical calculations and combinatorics, guided by large-scale Monte Carlo simulations of Standard Model (SM) processes. Then, we set the upper limit on the probability that new physics may escape detection, assuming a model-agnostic approach. The calculated probability is unexpectedly large, and the fact that LHC has not found new physics until now is not entirely surprising. Theoretical limitations and experimental challenges in observing new physics within the studied exclusive event classes are examined.
Safety and Immunogenicity of Intranasal Razi Cov Pars as a COVID-19 Booster Vaccine in Adults: Promising Results from a Groundbreaking Clinical Trial
Authors: Fallah Mehrabadi Mohammad Hossein , Hajimoradi Monireh , Es-haghi Ali , Kalantari Saeed , Noofeli Mojtaba , Mokarram Ali Rezaei , Razzaz Seyed Hossein , Taghdiri Maryam , Mokhberalsafa Ladan , Sadeghi Fariba , Mohseni Vahideh , Masoumi Safdar , Golmoradi-Zadeh Rezvan , Rabiee Mohammad Hasan , Solaymani-Dodaran Masoud , Banihashemi Seyed Reza
Published: November 2024

Protective antibodies in the upper respiratory tract prevent the spread of COVID-19 in the community. Intranasal vaccines could raise the specific secretory IgA and IgG levels. This is a single-center, randomized, double-blind, placebo-controlled clinical trial to evaluate the safety and immunogenicity of Razi Cov Pars (RCP) intranasal recombinant protein subunit COVID-19 vaccine as a booster in adults. We compared specific IgG and IgA levels in the intranasal RCP group (n = 97) versus placebo (n = 96) in serum, saliva, and nasal mucosal secretions on days 0 and 14 and reported their Geometric Mean Ratios (GMR) and 95% confidence intervals (CI). We showed significant increases in IgA and IgG anti-RBD in the nasal mucosa in the RCP group, but their increase was not detectable in the serum and saliva. Anti-spike IgA in the nasal mucosa also increased in the RCP group compared to the placebo. This increase against the COVID-19 variant Omicron was also similar to that of the Wuhan. We detected no serious adverse reactions or anaphylaxis and all adverse events resolved completely during the follow-up period and were similar in both groups. Intranasal RCP is safe, stimulates the respiratory mucosal immunity, and could be a booster on various COVID-19 vaccines and be effective against new virus variants.
SARS-CoV-2-Neutralizing Antibodies
Authors: Liu Yawen , Nie Jianhui
Published: November 2024

The COVID-19 pandemic, triggered by the SARS-CoV-2 virus, has profoundly and permanently affected many aspects of the world [...]
Longitudinal Study of Transcriptomic Changes Occurring over Six Weeks of CHOP Treatment in Canine Lymphoma Identifies Prognostic Subtypes
Authors: Mee Miles W. , Faulkner Sydney , Wood Geoffrey A. , Woods J. Paul , Bienzle Dorothee , Coomber Brenda L.
Published: November 2024

The majority of canine lymphoma patients treated with the standard of care, the CHOP chemotherapy protocol, initially achieve remission but eventually relapse with a multi-drug-resistant phenotype. This study assesses gene expression profiles of canine lymphoma tumor cell populations using RNA-Seq data from 15 matched patient samples taken prior to treatment and again six weeks into treatment with CHOP. Two distinct clusters were present in the t-SNE dimensionality reduction of the gene expression profiles. There was a significant difference in progression-free survival (PFS) between the cluster groups, with a median of 43.5 days in a group of six patients and 185 days in another group of nine patients. Comparing the group with shorter PFS to the group with longer PFS, we identified 265 significantly enriched GO:BP terms in 3874 significantly up-regulated genes and 740 significantly enriched GO:BP terms in 3236 significantly down-regulated genes. Comparing the six-week timepoint against the initial timepoint, in the group with longer PFS, we identified 277 significantly enriched GO:BP terms in 413 significantly up-regulated genes and 222 significantly enriched GO:BP terms in 267 significantly down-regulated genes. In the group with shorter PFS, we only identified 27 significantly differentially expressed genes, for this comparison. We found DNA damage response genes to be enriched in the down-regulated genes in both comparisons. These results identify and characterize two transcriptionally distinct groups of canine lymphoma patients with significantly different responses to CHOP chemotherapy.
Development and Application of a TaqMan RT-qPCR for the Detection of Foot-and-Mouth Disease Virus in Pigs
Authors: Dong Changying , Xiao Xingyu , Wang Meiqi , Sun Yajuan , Jin Hui , Zhang Yongzhe , Zhao Hongri , Cao Qianyue , Yang Yanran , Yin Rui
Published: November 2024

The global livestock industry is facing a serious threat from a widespread foot-and-mouth disease virus (FMDV) epidemic. The timely detection of FMDV can significantly mitigate its harmful effects. This study aimed to establish and evaluate a TaqMan fluorescence quantitative PCR assay to assess its sensitivity, specificity, reproducibility, and stability. The standard curve equation range is 6.43 × 109–6.43 × 101 copies/µL, with an R2 value of 0.996 and a standard curve equation of y = −3.586x + 36.245. The method successfully detected 64.3 copies/µL of the target gene for FMDV and exhibited high specificity for FMDV. Repeatability tests demonstrated low coefficients of variation within and between groups (<2%), indicating good reproducibility. The clinical samples analyzed using this method showed results consistent with those of the SYBR Green I RT-qPCR assay, confirming the reliability of the method. Overall, the developed test method displayed high sensitivity, specificity, reproducibility, and stability, making it suitable for the rapid diagnosis of foot-and-mouth disease in clinical settings.
Assessing Alterations of Rainfall Variability Under Climate Change in Zengwen Reservoir Watershed, Southern Taiwan
Authors: Shiau Jenq-Tzong , Li Cheng-Che , Tseng Hung-Wei , Chen Shien-Tsung
Published: November 2024

This study aims to detect changes in rainfall variability caused by climate change for various scenarios in the CMIP6 (Coupled Model Intercomparison Project Phase 6) multi-model ensemble. Projected changes in rainfall unevenness in terms of different timescale indices using three categories, namely WD50 (number of wettest days for half annual rainfall), SI (seasonality index), and DWR (ratio of dry-season to wet-season rainfall) are analyzed in Zengwen Reservoir watershed, southern Taiwan over near future (2021–2040) and midterm future (2041–2060) relative to the baseline period (1995–2014) under SSP2-4.5 and SSP5-8.5 scenarios. The projected rainfall for both baseline and future periods is derived from 25 GCMs (global climate models). The results indicate that noticeably deteriorated rainfall unevenness is projected in the Zengwen Reservoir watershed over future periods, which include decreased WD50, increased SI, and decreased DWR. Though there were noticeable differences in the rainfall projections by the different GCMs, the overall consensus reveals that uncertainties in future rainfall should not be ignored. In addition, WD50 has the greatest deviated relative change in mean, which implies that the short-timescale rainfall unevenness index is easily affected by climate change in the study area. Distributional changes in rainfall unevenness determined by simultaneously considering alterations in relative changes in mean and standard deviation indicated that there was no single dominant category. However, the top two categories, with summed frequencies exceeding 0.5, characterize different properties of rainfall unevenness indices. The top two categories of WD50 and SI commonly have decreased mean and increased mean, respectively, but nearly equal frequencies of the top two categories in DWR exhibit opposite variations. The proposed rainfall unevenness change detection approach provides a better understanding of the impacts of climate change on rainfall unevenness, which is useful for preparing adaptive mitigation measures for coping with disasters induced by climate change.
Physical–Chemical–Biological Pretreatment for Biomass Degradation and Industrial Applications: A Review
Authors: Chen Jinmeng , Ma Xiaotian , Liang Mengying , Guo Zhiwei , Cai Yafan , Zhu Chenjie , Wang Zhi , Wang Shilei , Xu Jingliang , Ying Hanjie
Published: November 2024

Lignocellulosic biomass, including agricultural, forestry, and energy crop waste, is one of Earth’s most abundant renewable resources, accounting for approximately 50% of global renewable resources. It contains cellulose, hemicellulose, and lignin, making it crucial for biofuels and bio-based chemicals. Due to its complex structure, single-pretreatment methods are inefficient, leading to the development of combined pretreatment technologies. These methods enhance cellulose accessibility and conversion efficiency. This paper analyzes the principles, advantages, and disadvantages of various combined pretreatment methods and their practical benefits. It highlights recent research achievements and applications in biofuel, biochemical production, and feed. By integrating multiple pretreatment methods, biomass degradation efficiency can be significantly improved, energy consumption reduced, and chemical reagent use minimized. Future advancements in combined physical, chemical, and biological pretreatment technologies will further enhance biomass utilization efficiency, reduce energy consumption, and protect the environment, providing robust support for sustainable renewable energy development and ecological protection.
Modeling the Impact of Global Warming on Ecosystem Dynamics: A Compartmental Approach to Sustainability
Authors: Tovar-Ortiz Sinue A. , Rodriguez-Gonzalez Pablo T. , Tovar-Gómez Rigoberto
Published: November 2024

Environmental degradation driven by human activities has heightened the need for sustainable development strategies that balance economic growth with ecological preservation. This study uses a compartmental model approach to examine the effects of global warming on ecosystem dynamics, focusing on how rising temperatures alter interactions across trophic levels. Three case studies of varying complexity, including a human ecosystem incorporating social and economic factors, were analyzed by integrating feedback loops between greenhouse gas emissions, temperature anomalies, and ecosystem responses. The results quantitatively demonstrate that even minor disruptions in one part of an ecosystem can cause significant instability across trophic levels, potentially driving the system to collapse in a short period. These findings from all case studies highlight the cascading impacts of global warming, underscoring the intricate relationship between climate change and ecosystem stability. Furthermore, this study offers qualitative insights into the potential consequences of climate change on biodiversity and resource availability in real ecosystems, highlighting the vulnerability of such systems and the importance of incorporating feedback mechanisms into environmental policy and decision-making processes. The approach employed in this study offers a more robust framework for understanding ecosystem responses and for developing strategies to enhance resilience against climate change, thereby protecting the long-term sustainability of ecosystems.
Çocukluk Çağı Rutin Aşı Takvimi ve Bağışıklama Uygulamaları
Authors: Tekin Yılmaz Ayşe
Published: November 2024

Aşı enfeksiyon hastalıklarından korunmanın etkin ve güvenli aynı zamanda da en kolay yollarından biridir. Her gün farklı hastalıklarının tanımlandığı, yeni tedavi yöntemlerine bir yenisinin eklendiği modern tıbbın en parlak dönemlerinden birinin yaşandığı günümüze enfeksiyon hastalıklarının önlenmesinde halen temiz su kaynaklarının sağlanması dışında en etkili yöntem aşı uygulamalarıdır. Aşı uygulamaları aynı zamanda koruyucu sağlık hizmetleri içinde de önemli bir yer tutmaktadır. Aşı sadece bireysel koruma sağlamakla kalmaz toplum genelinde aşı uygulaması belirli oranların üzerine çıkartılabildiğinde toplumsal bağışıklığın da oluşmasını sağlar. Toplumsal bağışıklık sağlanmasından bir sonraki adım ise herhangi bir mikroorganizmanın eradike edilmesi yani neden olduğu hastalığın ortadan kalkmasıdır.
Bu yazıda ülkemizde sağlık bakanlığı tarafınca önerilen ve uygulanan çocukluk çağı aşı programında yer alan aşılardan, uygulama özelliklerinden ve uygulama öncesinde ya da sonrasında dikkat edilmesi gereken durumlardan bahsedilecektir.
Projeto: uso de microcontrolador arduino para auxílio em titulações químicas
Authors: Kamijó Evandro Namitaro Seixas , Rossi Arley Silva
Published: November 2024

O presente projeto teve como objetivo desenvolver um microcontrolador utilizando uma placa Arduino, um sensor de cor e um servo-motor. A partir da alteração na coloração do titulado, que indica o ponto de viragem durante o processo de titulação, o sensor de cor foi acionado para transmitir um sinal a uma entrada de sinal analógico da placa Arduino, que, por sua vez, acionou o servo-motor por meio de uma saída digital para fechar a bureta. Esse processo permitiu a determinação do volume do titulante consumido com maior precisão e de forma automatizada. Inicialmente, o código foi desenvolvido em linguagem C++ e simulado no Tinkercad, sendo posteriormente testado na placa física para avaliar a sensibilidade às variações de luminosidade ambiente e a funcionalidade do servo-motor. Em experimentos realizados em triplicata, utilizando uma solução de NaOH (0,1 M) como titulante e uma amostra de 1 mL de vinagre dissolvido em 100 mL de água destilada, os resultados obtidos na determinação do teor de ácido acético foram muito próximos aos obtidos por meio de uma titulação manual, revelando assim, eficiência e precisão no processo com um desvio padrão inferior à 0,26%.
The Use and Development of Artificial Intelligence in Architectural Design Processes
Authors: Demir Metin , Akti Meryem
Published: November 2024

Artificial intelligence is widely used as an interactive technology in various professional disciplines. The widespread use of these technologies, which we benefit from in most areas of our lives, in the education sector will provide important developments in the field of education. The main purpose of this study is to analyze the existing studies in which the use of artificial intelligence helps in architectural design processes. In the study, identification, screening, eligibility, inclusion, and data analysis processes were carried out in three search engines such as Web of Science, ScienceDirect, and ULAKBIM. While reporting the research, ‘Systematic Literature Review’ and ‘Preferred Reporting Items for Meta-Analysis’ protocols were followed and a total of 35 relevant articles were identified. In the research, three popular Artificial Intelligence applications used in architectural design processes were identified as Generative Adversarial Networks (GAN), Machine Learning, and Data Mining. In addition, Systematic Literature Review (SLR) outputs show that most researchers are supported by artificial intelligence applications in architectural design processes. As a result of the research, it was determined that artificial intelligence is widely used in architectural design processes, however, it has positive effects in 3D and animation parts.
Geleneksel Erzurum Evleri ve ‘Leed Residential: Single Family’ Değerlendirme Sistemi
Authors: Uludüz Çağrı , Sipahi Serkan
Published: November 2024

Geleneksel konut yapıları, geleneksel sistemler ile inşa edilen diğer yapı türleri gibi; malzeme, alan yönetimi, enerji kullanımı gibi birçok açıdan sürdürülebilir kabul edilen yapılardır. Günümüzde yeni konut yapıları için sürdürülebilirlik anlamında değerlendirme sistemleri bulunmakla birlikte; tarihi geleneksel konut yapıları için özelleştirilmiş ve yaygın olarak kabul görmüş bir değerlendirme sistemi bulunmamaktadır. Bu durum, sürdürülebilir anlayışla üretilen geleneksel yapıların sistematik bir sürdürülebilirlik değerlendirmesine katılamamasına sebep olmaktadır. Bir başka eksiklik de bu yapıların ilk halleri ile günümüze ulaşmış mevcut halleri arasındaki farklılıklara ve bu farklılıkların yapıların sürdürülebilirliklerine olan etkilerine ait değerlendirmelerin olmayışıdır. Yapılarda sürdürülebilirlik düzeylerini ölçen yeşil bina sertifikasyon sistemlerin içerisinde, tüm dünyada kabul gören ve yaygın olarak kullanılan ve öncü sayılabilir bir konumda olan LEED değerlendirme sistemleri yer almaktadır. İnsan ve doğayı göz önünde bulundurarak daha iyi konutlar inşa edebilmek adına Leed Residential Single Family değerlendirme sistemi yeni konut yapılarındaki sürdürülebilirlik düzeylerini belirlemede kullanılmaktadır. Yapılan bu çalışma ile Leed Residential: Single Family değerlendirme sisteminde yer alan kriterler üzerinden geleneksel konutlar için sürdürülebilirlik değerlendirmesi yapılabilecek kriterler tespit edilmiş; geleneksel Erzurum evleri özelinde geleneksel konut yapılarının ilk hallerine ait bir sürdürülebilirlik değerlendirmesi gerçekleştirilmiştir. Geleneksel konutlar için sürdürülebilir bir değerlendirmede; değerlendirmeye alınamayan kriterler ile hangi kriterler üzerinde durulması gerektiği tartışılmış, yapıların ilk halleri ve günümüze ulaşmış mevcut hallerindeki farklılıklar içerisinde yer alan ekler ile ilgili olarak değerlendirme kriterlerine yönelik önerilerde bulunulmuştur. Geleneksel Erzurum evlerinin sürdürülebilirliklerinin değerlendirildiği bu çalışma ile bu yapıların, “konum ve ulaşım” ile “enerji ve atmosfer” alanlarında oldukça başarılı oldukları; “malzeme ve kaynaklar” ile “iç ortam kalitesi” alanlarında ise çoğunlukla başarılı oldukları görülmüştür.
Gehenna Reexamined: Annihilation and Final Punishment in Intertestamental Jewish Thought
Authors: Chambers Matthew
Published: November 2024

Intertestamental Jewish writings often vaguely yet sometimes specifically address the nature and duration of final punishment of the ‘wicked.’ What constituted the ‘wicked’ in the extrabiblical Jewish literature—similarly to the Hebrew Bible—was consistently defined as those who broke God’s moral law intentionally and persistently. For these wrath-appointed persons, their final judgement lay in the commonly recognized and dreaded place (or state) of punishment called Gehenna. This paper will argue that upon examination of intertestamental Jewish writings there is considerable support for the view of Gehenna judgment as a terminable period of suffering leading to complete destruction (annihilation) of the wicked. The approach of this paper will be to analyze intertestamental Jewish writings and the teachings of Jesus in relation to the Gehenna. While the views on death and judgement in the afterlife were as varied in the intertestamental period as they are today, the intertestamental authors’ use language which depicts the final judgment as something which may at times be interpreted as analogous with the traditional—more accurately “Hellenistic”—Christian view of hell, or at times prevents resurrection of the wicked entirely (Maccabees), or majoritively as a punishment which ends in a fiery conflagration spawning an eternal consequence of destruction in its most non-figurative and complete sense.
The Evaluation of Electronic Human Resources (eHR) Management based Internet of Things using Machine Learning Techniques
Authors: Hassan Abed DR. Amira , Abdel-Elaah Ass. Prof. Hany Fathy
Published: November 2024

The eHR solutions are frequently employed in large organizations and sectors. For the company, such eHR is extremely competent, congruent, affordable, and committed. These days, eHR is greatly impacted by the Internet of Things (IoT), which provides eHR functions like standards, privacy, and security with a variety of facilities and supports. There are several uses for eHR and IoT together to execute plans, rules, and practices inside the company. The five essential components of an eHR are e-Selection, e-Recruitment, e-Performance, eCompensation, and e-Learning. The suggested system in this study consists of two components. The first section covered a discussion and detailed explanation of the different eHR tasks using examples. The second section describes and provides examples of analytics of data using IoT for every eHR task. The four parts of the data analytics section are as follows: (a) preparing the data; (b) choosing features; (c) classifying the data; and (d) assessing performance. Four HR analytic datasets gathered at the Kaggle site were used to conduct extensive experimentation for each eHR activity. Ultimately, each dataset was used to perform performance with appropriate reasons for each eHR activity. CART outperformed kNN and SVM classifiers in terms of performance.
RESEARCH ON THE IMPACT OF DIGITAL CAPABILITY OF ENTERPRISES ON BUSINESS PERFORMANCE FROM THE PERSPECTIVE OF BUSINESS ECOSYSTEM
Authors: Wang Wei , Tong Zelin
Published: November 2024

The study aims to investigate the interplay among digital capability, network capability, and value co-creation, the level of government digital governance, environmental uncertainty, and firm performance.
This study summarized the high-tech manufacturing industry's value co-creation model from the perspective of the business ecosystem. It also added to previous research on the link between digital capability and enterprise performance and gave new research ideas for future studies on value co-creation in the business ecosystem. In practice, this study serves as a valuable guide for the development of high-tech manufacturing enterprises in China. It fosters the cultivation and promotion of digital capabilities within these industries, emphasizes the positive relationship between digital capabilities and enterprise performance, and guides high-tech manufacturing enterprises to prioritize value creation among multiple entities. We actively construct a business ecosystem and integrate both internal and external resources to generate value and foster mutually beneficial collaboration among various entities.
INFLUENCE OF CEO PROFESSIONAL RICHNESS ON THE INNOVATION PERFORMANCE OF LISTED COMPANIES IN THE AI SECTOR
Authors: Zhai Jun
Published: November 2024

With the rapid development of artificial intelligence (AI) technology, enterprises in the AI sector are becoming an important engine of global economic growth. In this era full of challenges and opportunities, enterprises' innovation performance is critical because it directly determines their long-term competitiveness in the market. The CEO's professional background has a profound impact on the enterprise's strategy formulation, organizational management, and innovation ability as a key decision-maker and strategic leader. Especially in the technology-intensive AI field, the professional richness of the CEO may have a significant impact on the innovation performance of enterprises, which makes it important to theoretically and practically study the impact of the CEO's career background on the innovation performance of enterprises in the AI sector. The widespread application of AI technology has changed the business model and operation mode of many industries, driving enterprises to gain a competitive advantage in the market. Through continuous innovation, AI-sector enterprises improve the function and performance of products to meet the personalized needs of users, thereby increasing market competitiveness and profitability. However, the AI technology innovation process also faces challenges such as high costs, legal and regulatory restrictions, and ethics. In this context, the role of the CEO is particularly critical. How the diversity of his professional background affects the innovation ability of enterprises and their flexibility to respond to market changes still needs further in-depth research and theoretical discussion.
A STUDY ON THE IMPACT OF KNOWLEDGE HETEROGENITY ON TEAM CREATIVITY
Authors: Ru Yiyi , Zhou Wei
Published: November 2024

This study categorizes the knowledge heterogeneity of "Internet+" college student innovation and entrepreneurship teams into three dimensions: explicit, pseudo-hidden, and true hidden. It examines their impact on team creativity by introducing team identification as a moderating variable. We construct a theoretical model from the perspective of team collaboration, drawing on knowledge innovation theory and social identity theory. We conducted the empirical study using SPSS and AMOS software, based on questionnaire data from 136 "Internet+" college student innovation and entrepreneurship competition teams. The results show that explicit and pseudo-hidden knowledge heterogeneity has significant positive effects on team creativity, whereas true hidden knowledge heterogeneity has a negative impact. Furthermore, team identification plays different moderating roles in the relationships between pseudo-hidden, true hidden knowledge heterogeneity, and team creativity.
Short-term Load Forecasting using Genetic Algorithm based Artificial Neural Network
Authors: Shakir Mohanad
Published: November 2024

The electrical load Forecasting is considered one of the main and important points for the planning for the future in the electric power networks in both of transmission and distribution systems. In this paper, the genetic optimization algorithm (GA) with the artificial intelligent network (ANN) methods are  proposed to forecast the electrical load of  the building of Electrical Power Distribution office in the Iraq /Anbar Governorate.  Moreover, the optimization method of GA is presented to train the ANN weights using Matlab software with  simple programming code. Then, the proposed method is applied to the actual load and the results are compared with that obtained in traditional method such as ANN and regression trees (RG trees) methods. Hence, from the simulation results and the comparison, we can confirm that the proposed method is better than the traditional methods, and it achieved a good agreement with actual load and it provide a good total RMSE of 6% when compared with  other methods
A Triple Band Flexible Antenna based on Asymmetric Spiral Split Rings Coupled to External Loop
Authors: Tarawneh Anwar
Published: November 2024

In this paper a small flexible antenna is designed and proposed for implantable applications in the 401-406 MHz Medical Device Radio Communication Service (MedRadio), 433-434.8 MHz, and 2.4-2.5 GHz Industrial Scientific Medical (ISM) bands. The proposed antenna has a unique structure exploiting spiral split rings to achieve both miniaturization and excellent impedance matching (S11< -10 dB) within the 401-406 and 433-434.8 MHz bands. For resonance in the 2.4-2.5 GHz ISM band, the spiral split rings are coupled with an external feeding loop ring. This comprehensive band coverage enables the antenna to facilitate data transfer, wireless power charging, and saving. The proposed antenna has obtained a gain value of -22.44, -22.07, and -25.66 dBi at 403 MHz, 433 MHz, and 2.45 GHz respectively in a simplified body model of 400×50×50 mm3. Additionally, this antenna design has demonstrated robust performance in different simplified body models. Furthermore, the antenna’s simple structure makes it a strong candidate for applications in the field of biomedical implants.
Energy Storage Solutions to De-Carbonize the Electric Supply in Jordan
Authors: Aljaradat Abdulraheem
Published: November 2024

This paper aims to estimate the size of Energy Storage Systems (ESS) required de-carbonizing the electrical network in Jordan. Load profile in addition to the PV and Wind energy profiles were studied and used as input data to the simulation model. Different cases of RE penetration levels as a percentage of load demand were considered and entered to the simulation model as well. Other factors, such as allowed over-generation and ESS efficiency also provided and calculations carried out accordingly. In addition to the technical consideration, an economic analysis approach added to the study. Results show that staying with the current level of RE penetrations, i.e. at PV 11% and W 9% (RE level 20% of load demand) and 5% curtailment, no need to install ESS to absorb the RE intermittency and variability. As RE penetration level increases, the need for ESS becomes necessary, i.e. to reach 100% RE penetration and de-carbonize the electrical network accordingly, an ESS of 138,900.00MWH/ 7,386.57MW PHES would be required at PV 65% and Wind 35% penetration level and 25% curtailment with initial CAPEX investment of   JOD 15,367,314,444.10. Economic feasibility study shows that with the current RE energy prices and ESS CAPEX, reaching the 100% RE penetration level would not be the optimum solution as there will be a negative cost impact, unless these prices reduced to a certain level making the solution feasible.
Study on non-local effects in asymmetric overlapping nanowires
Authors: Zhang Xi , Wu Qingzhou , Wang Tao , Li Lei , Li Zewen , Kan Weiwei
Published: November 2024

The nonlocal effects in asymmetric overlapping nanowires are studied. The new phenomena on a very small scale is found. When the scale is reduced to about 0.1 nm, the frequency corresponds to the peak at first redshift and then blueshift, or vice versa. This new phenomenon may relate to the degree of overlapping between the two nanowires. In other words, when the geometry is close to the limit, namely kissing nanowires, a little change in parameters will produce new phenomena.