bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Visualisation of Large Scale Life Cycle Assessment Results: A Case Study on an Adaptive, Multilayer Membrane Façade
Authors: Borschewski David , Prenzel Tobias Manuel , Albrecht Stefan , Leistner Philip
Published: May 2024

The importance of visualisations in context of life cycle assessment has been widely discussed and acknowledged in the literature. Especially with the increasing ability to process and create large-scale LCA results, visualisations are vital tools to not only analyse and interpret but also check and validate underlying datasets. Based on a dataset containing 1.25 million LCA results for all potential configurations within a defined parameter space, different visualisations and analysis methods were applied to identify hotspots, assess parameter sensitivity, gain insights to optimise environmental sustainability, and provide benchmarks for an adaptive, multilayer membrane façade. Box plots for the identification of hotspots, parameter sensitivity, and benchmarking, as well as colour-coded scatter plots, have proven to be incredibly versatile and effective for understanding the results and providing multiple perspectives to gain further insight. The ability to interact directly with interactive visualisation in order to identify and isolate specific areas of interest allows for a very efficient analysis of the relevant aspects of data. However, the usefulness of the proposed visualisations is not only dependant on the quality and characteristic of the underlying data but also on the objectives and scope of the study, as well as the intended medium illustrating the results.
Optimal Substation Placement: A Paradigm for Advancing Electrical Grid Sustainability
Authors: Țiboacă-Ciupăgeanu Marius Eugen , Țiboacă-Ciupăgeanu Dana Alexandra
Published: May 2024

The critical importance of optimal substation placement intensifies as the world experiences sustained economic expansion and firmly pursues the decarbonization process. This paper develops an integrative approach to determining the optimal location for a new substation considering the evolving power framework. To this end, a projected 2% national load growth is taken into account, in accordance with the foresight of the Romanian authorities, emphasizing the need to place new substations to enhance the grid’s sustainability. Leveraging the Weibull distribution, a dataset is generated to simulate the anticipated load increase, starting from real power datasets in Romania. Two algorithms are designed for optimal substation positioning: geometric (center-of-gravity-based) and machine learning (K-means clustering). The primary comparison criterion is the minimization of power losses during energy distribution. The results reveal the machine learning approach (i.e., K-means clustering) as the superior alternative, attaining a 60% success rate in minimizing the power losses. However, acknowledging computational constraints, the concurrent utilization of both algorithms is advocated for optimal substation location selection, indicating a potential improvement in outcomes. This study emphasizes the critical need for advanced algorithms, stressing their role in mitigating power losses and optimizing energy utilization in response to evolving load patterns and sustainability goals.
Exploring the Evolution Trend of China’s Digital Carbon Footprint: A Simulation Based on System Dynamics Approach
Authors: Xu Ruiheng , Ji Kaiwen , Yuan Zichen , Wang Chenye , Xia Yihan
Published: May 2024

The rapid growth of the digital economy has heightened concerns over its environmental impacts, particularly in terms of carbon dioxide emissions. In contrast to previous studies that focus on the positive effects of digital technology on reducing carbon emissions, this paper provides a detailed analysis of the various factors that influence digital economy carbon emissions and their interrelationships, using the system dynamics method to simulate and predict China’s future digital economy carbon emission baseline from 2016 to 2046. Four different scenarios were established by adjusting parameters for the percentage of the digital economy, e-waste growth rate, and data center power consumption. The simulation results indicate the following: (1) The baseline scenario shows China’s digital economy carbon emissions peaking at 1.9045 billion tons in 2041 after an initial increase and subsequent decrease. (2) Single-policy simulations indicate that changing the digital economy’s scale and e-waste growth independently leads to peak emissions of 1.9205 billion tons and 1.5525 billion tons, respectively. Adjusting data center power consumption has a greater impact, increasing the peak emissions to 2.1675 billion tons, a 13.82% rise from the baseline. (3) Under the comprehensive regulation scenario, emissions peak in 2040 at 2.0813 billion tons, considering the interactions between the digital economy, data center power, and e-waste. Based on the findings, we recommend fostering innovation in the digital industry, enhancing the e-waste treatment process, strategically developing digital infrastructure, and exploring effective carbon reduction strategies for the digital economy aimed at supporting China in achieving its dual-carbon goals.
Enhanced H2 Generation via Piezoelectric Reforming of Waste Sugars and Fruits Using Au-Decorated g-C3N4
Authors: Ren Ke , Ding Fangjie , Zhang Lijun , Peng Fengping , Guo Jianzhong , Wu Chunzheng
Published: May 2024

The food industry is responsible for generating considerable amounts of waste, such as excess fruits and leftover sugars, which contribute to resource depletion and pose environmental challenges. This research delves into the application of gold-modified graphitic carbon nitride nanosheets (Au/CN) as a potent catalyst for the transformation of these food wastes into H2 via piezoelectric reforming during sonication. Au/CN demonstrated a superior rate of H2 evolution compared to pristine g-C3N4 (i.e., 1533.3 vs. 364.9 µmol/g/h) and it maintained its efficiency through multiple cycles of use. The catalytic activity was found to be optimal at a neutral pH level and with increased sugar concentrations. The enhanced catalytic performance of Au/CN was ascribed to the efficient segregation of charge carriers as well as the reduced charge transfer distance. This study underscores the viability of using Au/CN as a means for converting food wastes into a sustainable source of H2 energy.
A Comprehensive Study of Blockchain Technology and Its Role in Promoting Sustainability and Circularity across Large-Scale Industry
Authors: Abbas Zaheer , Myeong Seunghwan
Published: May 2024

Blockchain technology has evolved as an innovative strategy that substantially transformed industries by offering a variety of applications across multiple domains including manufacturing, construction, supply chain, food, health, energy, transport and retailing industry. By offering a decentralized ledger that enables the source-tracking of materials and goods, blockchain enables a quick, safe, and open information platform. Blockchain is emerging around the globe in industries but limited studies have comprehensively examined its practical implementation toward industrial sustainability and circularity. This paper aimed to provide a comprehensive and thoughtful discussion of blockchain demand, literature gaps in blockchain implementation, type of blockchain platforms in large-scale industries and their contribution toward sustainability by utilizing the systematic literature review methodology. The descriptive analysis of 185 selected articles by thematic analysis provides an overview of the emergence of blockchain over the years and its practical implications in large-scale industries. The novelty of the paper is the in-depth discussion of the major industries of the various sectors that are utilizing different blockchain frameworks, especially P2P, in order to achieve sustainability and circularity in economy. Furthermore, the challenges and barriers that hinder blockchain adoption have also been evaluated.
Social Commerce and Customer-to-Customer Value Co-Creation Impact on Sustainable Customer Relationships
Authors: Alhumud Abdullah , Elshaer Ibrahim
Published: May 2024

The advent of social commerce (SC) has transformed the landscape of online consumer behavior, emphasizing the significance of customer-to-customer relations in shaping sustainable relationships with customers. This research investigated the intricate relationships between social commerce dimensions, particularly suggestions and recommendations, forums and communities, and ratings and reviews, and their influence on customer-to-customer value co-creation (C2CVCC) and sustainable customer relationships (SCRs). A questionnaire was designed and administered to 635 respondents. We examined the psychometric properties of the measurements and subsequently applied partial least squares as a structural equation modeling method (PLS-SEM) for hypothesis testing. The findings revealed that the dimensions of SC significantly impact C2CVCC, with ratings and reviews playing a pivotal role. Furthermore, C2CVCC emerged as a substantial mediator in the path between SC and SCRs. The empirical analysis showcased strong support for the proposed model, with robust path coefficients (β) and p-values confirming direct and indirect effects. These findings offer valuable insights for businesses seeking to leverage SC and customer interactions to enhance SCRs in the digital era. Understanding the dynamics of C2CVCC within the context of SC has become essential for marketers and businesses aiming to thrive in today’s competitive online marketplace.
Mapping the Landscape of the Literature on Environmental, Social, Governance Disclosure and Firm Value: A Bibliometric Analysis and Systematic Review
Authors: Cai Chun , Hazaea Saddam A. , Hael Mohammed , Al-Matari Ebrahim Mohammed , Alhebri Adeeb , Alfadhli Abdulmajeed Mawhan H.
Published: May 2024

Increased interest in sustainability and related issues has led to the development of disclosed corporate information on environmental, social, and governance (ESG) issues. Additionally, questions have arisen about whether these disclosures affect the firm’s value. Therefore, we conducted a bibliometric analysis coupled with a systematic literature review (SLR) of the current literature in the Scopus database from 2001 to 2023. We utilized VOS viewer, Site Space, and R Studio tools for this analysis. Our findings indicate that the relationship between ESG disclosures and the firm’s value has different effects and that disclosure impacts through various channels, such as increasing stakeholder trust. Moreover, the keyword analysis results before and after 2015 demonstrate significant advancement in the utilization of a theoretical foundation in the literature. Furthermore, China (Country), “Universidad de Salamanca” (University), “Uyar, Ali and García-Sánchez, Isabel-María” (Authors), and “Sustainability” and “Corporate Social Responsibility and Environmental Management” (Journals) were the most contributing and influential in this field. On the other hand, the results revealed six thematic clusters: society, sustainable development, ESG, organization, innovation, and stakeholders. We found promising research paths and emerging themes through content analysis of these clusters, such as sustainability assurance, green innovation, and sustainable development goals (SDGs). This review concludes by providing a roadmap that includes emerging lines of research that can be explored in depth in future studies to promote better and more comprehensive integration to achieve sustainability and maximize firm value.
Determinants of Yearly CO2 Emission Fluctuations: A Machine Learning Perspective to Unveil Dynamics
Authors: Mukendi Christian Mulomba , Choi Hyebong , Jung Suhui , Kim Yun-Seon
Published: May 2024

In order to understand the dynamics in climate change, inform policy decisions and prompt timely action to mitigate its impact, this study provides a comprehensive analysis of the short-term trend of the year-on-year CO2 emission changes across ten countries, considering a broad range of factors including socioeconomic factors, CO2-related industry, and education. This study uniquely goes beyond the common country-based analysis, offering a broader understanding of the interconnected impact of CO2 emissions across countries. Our preliminary regression analysis, using the ten most significant features, could only explain 66% of the variations in the target. To capture the emissions trend variation, we categorized countries by the change in CO2 emission volatility (high, moderate, low with upward or downward trends), assessed using standard deviation. We employed machine learning techniques, including feature importance analysis, Partial Dependence Plots (PDPs), sensitivity analysis, and Pearson and Canonical correlation analyses, to identify influential factors driving these short-term changes. The Decision Tree Classifier was the most accurate model, with an accuracy of 96%. It revealed population size, CO2 emissions from coal, the three-year average change in CO2 emissions, GDP, CO2 emissions from oil, education level (incomplete primary), and contribution to temperature rise as the most significant predictors, in order of importance. Furthermore, this study estimates the likelihood of a country transitioning to a higher emission category. Our findings provide valuable insights into the temporal dynamics of factors influencing CO2 emissions changes, contributing to the global efforts to address climate change.
Exploring Climate-Induced Agricultural Risk in Saudi Arabia: Evidence from Farming Communities of Medina Region
Authors: Alotaibi Bader Alhafi , Xu Weizhou , Shah Ashfaq Ahmad , Ullah Wahid
Published: May 2024

Agriculture is vital to the Saudi Arabian economy since it provides food and other necessities to people living in rural areas, as well as those living in adjacent cities. Notwithstanding its considerable economic importance, the agricultural sector is confronted with formidable obstacles due to climate change, such as elevated temperatures, floods, extreme droughts, and decreased agricultural yields. Building a farming system capable of being climate resilient requires the comprehension of the vulnerabilities of farm households and related systems. This paper deals with the potential agricultural risks resulting from climate change in Saudi Arabia. In addition to concentrating on precipitation and temperature, the present research incorporates the three main components of the Climate Change Vulnerability Index (CCVI): sensitivity, exposure, and adaptive capability. The results of this research reveal a notable challenge that farmers in Saudi Arabia encounter, as they are very susceptible to the impacts of climate change. The Climate Change Vulnerability Index (CCVI) has a score of 0.730, signifying a substantial degree of vulnerability. The farmers in this region are very susceptible to uncertainties caused by climate change, as indicated by the significant exposure score of 0.725. This exposure comprises a wide range of concerns resulting from fluctuations in temperature, patterns of rainfall, and occurrences of severe weather, all of which have an immediate and negative effect on agriculture. Farmers in that region are more susceptible to the effects of climate change, which could jeopardize their livelihoods and agricultural operations, as shown by the susceptibility component (SVI) of 0.559. Moreover, the adaptive capacity (AVI) score of 0.567 highlights the fact that farmers have limited access to resources, skills, and experience, hindering their ability to tackle the challenges that have been caused by climate change in this region successfully. The results emphasize the immediate necessity for specific policies and assistance to enhance the resilience of agricultural communities in the area, as well as to mitigate the potential adverse effects of climate change on their livelihoods.
How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate
Authors: Bokhari Syed Asad Abbas , Seunghwan Myeong
Published: May 2024

Effective institutional and technological development are key to governance in smart cities. This study investigates the fundamental complexities of institutional and technological innovations in smart cities. A city’s innovation capabilities depend significantly on its technology and implementation capacity. This study suggests that institutional and technological innovation serve a role that moderates the relationships between smart city governance, stakeholder satisfaction, and crime rate. Multiple regression models were developed by surveying 496 Pakistani citizens with a questionnaire. Using stakeholders and innovation theories, analyzing the relationships between smart governance, stakeholder satisfaction, and city crime rates reveals a moderating role of institutional and technological innovation. The findings showed that institutional and technological innovations have strengthened the stakeholder satisfaction level while weakening the crime rate in a smart city.
Electric Vehicle Supply Chain Risk Assessment Based on Combined Weights and an Improved Matter-Element Extension Model: The Chinese Case
Authors: Liu Huixin , Hao Xiang
Published: May 2024

In order to meet energy and environmental challenges, many countries will implement the replacement of fuel vehicles for the future clean energy transition; so, the number of electric vehicles (EVs) operating in cities will grow significantly. It is crucial to assess the risks of the electric vehicle supply chain (EVSC) and prevent them. Based on this, this paper proposes an EVSC risk research framework with combined weights and an improved matter-element extension model: (i) Firstly, the EVSC evaluation index system is constructed from the six stages of supply chain planning, sales, procurement, manufacturing, distribution, after-sales, and external risks. (ii) The subjective and objective weights are calculated by the decision laboratory method and entropy weight method, respectively, and then the minimum deviation method is used for a combined design to overcome the defects of a single method. (iii) An improved matter-element extension model (MEEM) is constructed by introducing asymmetric proximity degree and risk bias. (iv) The model is applied to a case study and its feasibility and superiority are verified through sensitivity analysis and comparative analysis. The final results show that the method and framework proposed in this paper are in line with EVSC risk assessment standards and superior to other models, which can help EVSC managers to identify potential risks, formulate appropriate risk prevention measures, promote the stable development of electric vehicles, and provide a reference for the development of energy and environment.
An Effective Method for the Evaluation of the Enantiomeric Purity of 1,2-Diacyl-sn-glycero-3-phosphocholine-Based Lipids by NMR Analysis
Authors: Di Mola Antonia , de Ferra Lorenzo , Anibaldi Mauro , Monaco Guglielmo , Massa Antonio
Published: May 2024

In this article, we report a very efficient method for the determination of the enantiopurity of 1,2-diacyl-sn-glycero-3-phosphocholine by 1H NMR analysis using a readily available chiral derivatizing boronic acid (CDA), (R)-(2-(((1-phenylethyl)amino)methyl)phenyl)boronic acid. After the removal of the acyl groups of 1,2-diacyl-sn-glycero-3-phosphocholine via methanolysis and washing fatty acid byproducts with CHCl3, the obtained sn-glycero-3-phosphocholine (GPC) with the free diol moiety is derivatized by the chiral boronic acid and analyzed by 1H NMR analysis. The choline methyl resonance of each diastereomer is observed at distinctive chemical shifts in the 1H NMR spectrum. Integration of the respective resonances allows direct determination of the enantiomeric purity. The procedure was tested successfully using 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) with different enantiomeric purities and with commercially available 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) and 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC).
Best Proximity Point Results via Simulation Function with Application to Fuzzy Fractional Differential Equations
Authors: Ali Ghada , Hussain Nawab , Moussaoui Abdelhamid
Published: May 2024

In this study, we prove the existence and uniqueness of a best proximity point in the setting of non-Archimedean modular metric spaces via the concept of simulation functions. A non-Archimedean metric modular is shaped as a parameterized family of classical metrics; therefore, for each value of the parameter, the positivity, the symmetry, the triangle inequality, or the continuity is ensured. Also, we demonstrate how analogous theorems in modular metric spaces may be used to generate the best proximity point results in triangular fuzzy metric spaces. The utility of our findings is further demonstrated by certain examples, illustrated consequences, and an application to fuzzy fractional differential equations.
Exploring Safety Culture in Urban Air Mobility: System of Systems Perspectives Using Enterprise Architecture
Authors: Hoffmann Raquel , Nishimura Hidekazu , Gomes Paulo
Published: May 2024

Urban Air Mobility (UAM) is an emerging industry marked by technological advancements, new operational contexts, and regulatory frameworks. This article examines how to improve safety management in UAM operations by adopting a just culture approach from a system of systems perspective. Acknowledging the critical role of front-line workers, especially in the early stage with piloted vehicles, the ecosystem-level approach comprehends multiple providers, operators, and services. Employing an enterprise architecture methodology, we address the challenge of fostering a learning-oriented environment amidst diverse organizational perspectives and stakeholders’ interests. This study identifies key capabilities, functions, and resource exchanges within and across organizations by strategically leveraging architectural views and systemic visualizations. A unified safety committee is discussed and recommended to facilitate consensus among stakeholders, including regulatory bodies, thus paving the way for industry-wide improvements. Findings contribute to evolving safety protocols in UAM operations and serve as a blueprint for integrating cutting-edge methodologies to drive systemic enhancements.
Empowering Unskilled Production Systems Consultants through On-the-Job Training Support: A Digital Triplet Approach
Authors: Sato Takaomi , Kondoh Shinsuke , Umeda Yasushi
Published: May 2024

This study aims to experimentally confirm whether knowledge that has been challenging to transfer through traditional on-the-job training (OJT) can be effectively transferred by introducing a formalized OJT approach that describes the improvement process knowledge of skilled production systems consultants, facilitating imitation by unskilled consultants. We adopted the Digital Triplet (D3) concept, an extension of the authors’ digital twin framework to intelligent activities, aligning with our study objectives. Recognizing the difficulty and inadequacy of knowledge transfer in production systems consulting OJT, we propose an OJT support method integrating a decision-making modeling approach for skilled consultants’ processes based on the Generalized Production Systems Consulting Process Model (GCPM) from prior literature into traditional OJT methods involving self-learning and direct instruction. This method enables the construction of a domain-specific GCPM, formalizing the improvement process flow implemented by skilled consultants and linking it to production improvement expertise and tools. In a case study focused on energy-saving improvement, we constructed and tested a domain-specific GCPM’s efficacy in facilitating the transfer of difficult-to-transfer knowledge. The results indicate that domain-specific GCPM facilitates such knowledge transfer, including specialized improvement, knowledge utilization, rationale, and adaptation to specific cases.
Validating Well-Functioning Hepatic Organoids for Toxicity Evaluation
Authors: Choi Seo Yoon , Kim Tae Hee , Kim Min Jeong , Mun Seon Ju , Kim Tae Sung , Jung Ki Kyung , Oh Il Ung , Oh Jae Ho , Son Myung Jin , Lee Jin Hee
Published: May 2024

“Organoids”, three-dimensional self-organized organ-like miniature tissues, are proposed as intermediary models that bridge the gap between animal and human studies in drug development. Despite recent advancements in organoid model development, studies on toxicity using these models are limited. Therefore, in this study, we aimed to analyze the functionality and gene expression of pre- and post-differentiated human hepatic organoids derived from induced pluripotent stem cells and utilize them for toxicity assessment. First, we confirmed the functional similarity of this hepatic organoid model to the human liver through various functional assessments, such as glycogen storage, albumin and bile acid secretion, and cytochrome P450 (CYP) activity. Subsequently, utilizing these functionally validated hepatic organoids, we conducted toxicity evaluations with three hepatotoxic substances (ketoconazole, troglitazone, and tolcapone), which are well known for causing drug-induced liver injury, and three non-hepatotoxic substances (sucrose, ascorbic acid, and biotin). The organoids effectively distinguished between the toxicity levels of substances with and without hepatic toxicity. We demonstrated the potential of hepatic organoids with validated functionalities and genetic characteristics as promising models for toxicity evaluation by analyzing toxicological changes occurring in hepatoxic drug-treated organoids.
Human Dendritic Cell Maturation Is Modulated by Leishmania mexicana through Akt Signaling Pathway
Authors: Rodríguez-González Jorge , Wilkins-Rodríguez Arturo A. , Gutiérrez-Kobeh Laila
Published: May 2024

Dendritic cells (DC) along with macrophages are the main host cells of the intracellular parasite Leishmania. DC traverse a process of maturation, passing through an immature state with phagocytic ability to a mature one where they can modulate the immune response through the secretion of cytokines. Several studies have demonstrated that Leishmania inhibits DC maturation. Nevertheless, when cells are subjected to a second stimulus such as LPS/IFN-γ, they manage to mature. In the maturation process of DC, several signaling pathways have been implicated, importantly MAPK. On the other hand, Akt is a signaling pathway deeply involved in cell survival. Some Leishmania species have shown to activate MAPK and Akt in different cells. The aim of this work was to investigate the role of ERK and Akt in the maturation of monocyte-derived DC (moDC) infected with L. mexicana. moDC were infected with L. mexicana metacyclic promastigotes, and the phosphorylation of ERK and Akt, the expression of MHCII and CD86 and IL-12 transcript, and secretion were determined in the presence or absence of an Akt inhibitor. We showed that L. mexicana induces a sustained Akt and ERK phosphorylation, while the Akt inhibitor inhibits it. Moreover, the infection of moDC downregulates CD86 expression but not MHCII, and the Akt inhibitor reestablishes CD86 expression and 12p40 production. Thus, L. mexicana can modulate DC maturation though Akt signaling.
Genital Warts in Women Vaccinated against HPV in Childhood: A Systematic Review
Authors: Malheiro Renata , Magalhães César , Dias Cláudia Camila , Rodrigues Acácio Gonçalves , Lisboa Carmen
Published: May 2024

Human papillomavirus (HPV) is the most prevalent sexually transmitted infection among young women. Notably, more than ten years after the introduction of HPV vaccination programs in Europe, it is essential to review the real-world evidence of the incidence of anogenital warts (GWs) among women vaccinated during childhood. In this systematic review, three databases were searched for studies published between January 2008 and September 2023. Nine cohort studies were included. A total of 890,320 HPV-vaccinated women and 1,922,033 unvaccinated women were evaluated. All the studies but one investigated the 4vHPV vaccine. The incidence rate of GWs in vaccinated women ranged from 0.0 to 1650 per 100,000 person-years. The highest incidence rates were found in women vaccinated with one dose at the age of 17–19 years old and in fully vaccinated women only after 19 years of age. Similar incidence values were reported among unvaccinated women. The incidence of GWs was lower when the age at first dose was 9–11 years old. This systematic review reveals that the incidence of GWs among HPV-vaccinated women is related to the age of vaccination and the number of vaccine doses received. In the post-vaccination era, epidemiological surveillance of the incidence of GWs and their genotypes is crucial.
Safety and Efficacy of Nirsevimab in a Universal Prevention Program of Respiratory Syncytial Virus Bronchiolitis in Newborns and Infants in the First Year of Life in the Valle d’Aosta Region, Italy, in the 2023–2024 Epidemic Season
Authors: Consolati Alessandra , Farinelli Mariapaola , Serravalle Paolo , Rollandin Christine , Apprato Laura , Esposito Susanna , Bongiorno Salvatore
Published: May 2024

Respiratory syncytial virus (RSV) bronchiolitis remains a significant global health burden, particularly in newborns and infants during their first year of life. The quest for an effective preventive strategy against RSV has long been sought, and recent developments have shown promise in the form of nirsevimab, a monoclonal antibody specifically designed for RSV prophylaxis. Valle d’Aosta was the first Italian region to propose universal prophylaxis with nirsevimab for newborns and infants in their first epidemic season as early as 2023–2024. This study describes the effectiveness and safety of the universal prevention program of RSV bronchiolitis using the monoclonal antibody nirsevimab in children resident in Valle d’Aosta born during the 2023–2024 epidemic season. There were 556 neonates born from 1 May 2023 to 15 February 2024. The risk of hospitalization for RSV bronchiolitis in 2023–2024 was 3.2%, compared to 7% in the 2022–2023 epidemic season (p < 0.001). After the start of the prophylaxis campaign with nirsevimab, the risk of hospitalization was 8.3% in the sample of infants who did not adhere to the prophylaxis, while no child in the sample of those treated (p < 0.001) was hospitalized for bronchiolitis. Few mild transient side effects were reported. This study shows the efficacy and safety of universal prophylaxis with nirsevimab in neonates, making Valle d’Aosta the first Italian region to offer universal prophylaxis to newborns without risk factors for RSV complications. Future research could further explore its long-term impact and cost-effectiveness.
Design of a New Vaccine Prototype against Porcine Circovirus Type 2 (PCV2), M. hyopneumoniae and M. hyorhinis Based on Multiple Antigens Microencapsulation with Sulfated Chitosan
Authors: Arrieta-Mendoza Darwuin , Garces Bruno , Hidalgo Alejandro A. , Neira Victor , Ramirez Galia , Neira-Carrillo Andrónico , Bucarey Sergio A.
Published: May 2024

This work evaluated in vivo an experimental-multivalent-vaccine (EMV) based on three Porcine Respiratory Complex (PRC)-associated antigens: Porcine Circovirus Type 2 (PCV2), M. hyopneumoniae (Mhyop) and M. hyorhinis (Mhyor), microencapsulated with sulfated chitosan (M- ChS + PRC-antigens), postulating chitosan sulphate (ChS) as a mimetic of the heparan sulfate receptor used by these pathogens for cell invasion. The EMV was evaluated physicochemically by SEM (Scanning-Electron-Microscopy), EDS (Energy-Dispersive-Spectroscopy), Pdi (Polydispersity-Index) and zeta potential. Twenty weaned pigs, distributed in four groups, were evaluated for 12 weeks. The groups 1 through 4 were as follows: 1-EMV intramuscular-route (IM), 2-EMV oral-nasal-route (O/N), 3-Placebo O/N (M-ChS without antigens), 4-Commercial-vaccine PCV2-Mhyop. qPCR was used to evaluate viral/bacterial load from serum, nasal and bronchial swab and from inguinal lymphoid samples. Specific humoral immunity was evaluated by ELISA. M-ChS + PRC-antigens measured between 1.3–10 μm and presented low Pdi and negative zeta potential, probably due to S (4.26%). Importantly, the 1-EMV protected 90% of challenged animals against PCV2 and Mhyop and 100% against Mhyor. A significant increase in antibody was observed for Mhyor (1-EMV and 2-EMV) and Mhyop (2-EMV), compared with 4-Commercial-vaccine. No difference in antibody levels between 1-EMV and 4-Commercial-vaccine for PCV2-Mhyop was observed. Conclusion: The results demonstrated the effectiveness of the first EMV with M-ChS + PRC-antigens in pigs, which were challenged with Mhyor, PCV2 and Mhyop, evidencing high protection for Mhyor, which has no commercial vaccine available.
Storage Scale Assessment of a Low-Impact Development System in a Sponge City
Authors: Xie Mingkun , He Dongxu , Dong Zengchuan , Cheng Yuning
Published: May 2024

A sponge city is an established urban stormwater management approach that effectively reduces urban runoff and pollutant discharges. In order to plan and design, estimate costs, and evaluate the performance of urban sponge city systems, it is essential to calculate the storage scale. In this context, a sponge city storage scale and calculation method based on a multifactor spatial overlay was designed, utilising the starting area of the Dafeng Hi-tech Development Zone in Yancheng City, China, as an illustrative example. The indicators for assessing the impact of sponge city systems on river plain networks are constructed based on four aspects: land planning, building density, water surface rate and green space rate. The relative importance of each indicator was determined based on the necessity of controlling runoff from land parcels and the appropriateness of facility construction. The annual runoff control rate of the 39 low-impact development control units in the study area was calculated using ArcGIS through multifactor spatial overlay mapping and weighting. The results showed that (1) the Geographic Information System (GIS)overlay technology can effectively assist in the decomposition of LID scales; (2) data can be derived, including the design storage volume and other basic control scale indicators for each unit. The study results are expected to serve as a reference for the preparation of special low-impact development plans in the river plain network area of China and the promotion of the construction of a sustainable blue–green system in the city.
Spatial and Temporal Assessment of Baseflow Based on Monthly Water Balance Modeling and Baseflow Separation
Authors: Xie Huawei , Hu Haotian , Xie Donghui , Xu Bingjiao , Chen Yuting , Zhou Zhengjie , Zhang Feizhen , Nie Hui
Published: May 2024

Baseflow is the part of streamflow that is mainly replenished by groundwater. The protection of the biological environment and the growth of its water resources greatly depend on the spatial and temporal evolution of baseflow. Therefore, the Baizhiao (BZA) and Shaduan (SD) catchments of the Jiaojiang River Basin (JRB) in the Zhejiang province of China were selected as study areas. The ABCD model and Eckhardt method were used to calculate baseflow and baseflow index (BFI). The temporal and spatial evolution patterns of baseflow were analyzed through statistical analysis and the Mann–Kendall test. The results showed that the ABCD model performs well in simulating overall hydrological processes on the monthly streamflow at BAZ and SD stations with NSE (Nash–Sutcliffe Efficiency) values of 0.82 and 0.83 and Pbias (Percentage Bias) values of 9.2% and 8.61%, respectively. The spatial–temporal distribution of the BFI indicates the higher baseflow contribution in upstream areas compared to downstream areas at both stations. The baseflow and BFI had significant upward trends at the BZA and SD stations in the dry season, while their trends were not uniform during the wet period. These findings are essential guidance for water resource management in the JRB regions.
Time-Domain Transfer Learning for Accurate Heavy Metal Concentration Retrieval Using Remote Sensing and TrAdaBoost Algorithm: A Case Study of Daxigou, China
Authors: Yang Yun , Tian Qingzhen , Bai Han , Wei Yongqiang , Yan Yi , Huo Aidi
Published: May 2024

Traditionally, the assessment of heavy metal concentrations using remote sensing technology is sample-intensive, with expensive model development. Using a mining area case study of Daxigou, China, we propose a cross-time-domain transfer learning model to monitor heavy metal pollution using samples collected from different time domains. Specifically, spectral indices derived from Landsat 8 multispectral images, terrain, and other auxiliary data correlative to soil heavy metals were prepared. A cross time-domain sample transfer learning model proposed in the paper based on the TrAdaBoost algorithm was used for the Cu content mapping in the topsoil by selective use of soil samples acquired in 2017 and 2019. We found that the proposed model accurately estimated the concentration of Cu in the topsoil of the mining area in 2019 and performed better than the traditional TrAdaBoost algorithms. The goodness of fit (R2) of the test set increased from 0.55 to 0.66; the relative prediction deviation (RPD) increased from 1.37 to 1.76; and finally, the root-mean-square deviation (RMSE), decreased from 8.33 to 7.24 mg·kg−1. The proposed model is potentially applicable to more accurate and inexpensive monitoring of heavy metals, facilitating remediation-related efforts.
Advancements in Battery Cell Finalization: Insights from an Expert Survey and Prospects for Process Optimization
Authors: Robben Tobias , Offermanns Christian , Heimes Heiner , Kampker Achim
Published: May 2024

Battery cell finalization is a crucial process chain in battery manufacturing, contributing to a significant share of CAPEX and OPEX. Thus, there is a high cost-saving potential by improving the process chain. This research paper investigates various crucial facets of the cell finalization process in battery cell production through an expert survey. These include investment cost allocation, potential cost savings in sub-processes, reject generation, early detection of faulty cells, quality measurement techniques, and the utilization of inline data for early quality determination and real-time process control during the formation process. A solution approach for the implementation of electrochemical impedance spectroscopy for inline early quality determination is given. The results yield valuable insights for optimizing the formation process and enhancing product quality.
Modelling Precipitation as a Function of Several Variables in Northern Madagascar Using the ANFIS Network
Authors: Anjara Davio Ulrick RABENIAINA , Niry Arinavalona RAKOTOVAO , Ambeondahy Ambeondahy , Jean Hary
Published: May 2024

This article presents a study on the modeling of precipitation in northwest Madagascar as a function of several variables. The method is based on the use of the Granger test to assess the causal relationship between precipitation, temperature, atmospheric pressure, wind at 925 hPa and Outgoing Longwave Radiation (OLR). The model is developed using the multiple linear regression method, followed by the use of the Sobol index to identify the most influential of these variables. Forecasts are based on the ANFIS model. The results show that precipitation in this area (Sofia, Diana and Sava regions) is influenced by pressure, wind and OLR. The explanatory model obtained highlights the relationship between precipitation and these climatic variables, showing a 7 mm decrease in precipitation according to the ANFIS model developed.
Incidence of hand and wrist disorders in primary care: a retrospective cohort study
Authors: Krastman Patrick , de Schepper Evelien IT , Bindels Patrick JE , Bierma-Zeinstra Sita MA , Kraan Gerald , Runhaar Jos
Published: May 2024

Background

The incidence of different types of hand and wrist disorders in primary care is unknown since there are no specific encodings for it.

Aim

To determine the overall incidence and the incidence of specific types of hand and wrist disorders in primary care.

Design & setting

A retrospective cohort study was undertaken, using a healthcare registration database from Dutch general practice, which contains medical records of more than 200 000 patients, and included approximately 25% of the population of the area of Rotterdam in The Netherlands.

Method

Patients aged ≥18 years with a new diagnosis of hand or wrist disorder from 1 January 2015–31 December 2019 were extracted using a search algorithm based on International Classification of Primary Care (ICPC) coding and search terms in free text.

Results

The mean incidence over the study period of a hand disorder was 5.9 per 1000 persons-years and of a wrist disorder 0.3 per 1000 persons-years. The incidence of trigger finger or thumb, hand or finger fracture, tendon or ligament tendinopathy, mallet finger, and hand or finger ligament injury were 3 (95% confidence interval [CI] = 2.69 to 3.15), 1 (95% CI = 1.03 to 1.33), 1 (95% CI = 0.98 to 1.28), 0.6 (95% CI = 0.48 to 0.69), and 0.1 (95% CI = 0.06 to 0.14) per 1000 persons-years, respectively. The incidence of a wrist fracture and ligament injury were 0.2 (95% CI = 0.13 to 0.25) and 0.1 (95% CI = 0.04 to 0.12) per 1000 persons-years, respectively.

Conclusion

There is a large difference between the number of patients presenting to the GP with hand and wrist complaints and the number of hand and wrist diagnoses reported in the medical files. Introducing specific ICPC codes for different types of hand and wrist disorders could (potentially) lead to a more accurate registration of a diagnosis and determination of the incidence figures.
Perancangan UI/UX Fitur Free Trial Pada Aplikasi Netflix Dengan Metode Design Thinking Proyek Kampus Merdeka Mitra PT. Zona Edukasi Nusantara (ZENIUS)
Authors: Kurniawan Muhammad Aldino , Beny Beny , Herty Yani
Published: May 2024

Netflix merupakan aplikasi streaming vidio on-demand yang sangat popular di kalangan masyarakat. Namun, tidak sedikit jumlah pengguna baru yang merasa dirugikan dengan kebijakan harus berlangganan terlebih dahulu sebelum dapat mengakses aplikasi. Maka dari itu penulis mempunyai gagasan untuk membuat rancangan desain User Interface dan User Experience fitur free trial pada aplikasi Netflix.
Dalam rancangan ini penulis menggunakan metode Design Thinking yang banyak digunakan UI/UX Designer untuk merancang sebuah aplikasi. Selama pembuatan peulis dibantu oleh Mentor untuk desain dan perapannya. Dan hasilnya penulis telah berhasil membuat rancangan desain yang selanjutnya dapat diimplementasikan oleh pihak Netflix.
Analisis Kualitas Website Stikes Garuda Putih Kota Jambi Menggunakan Metode Webqual 4.0
Authors: Syah Firman , Ahmad Husaein  , Ronald Naibaho
Published: May 2024

Perkembangan IT yang pesat menjadikan website sebagai bagian yang tidak terpisahkan dari sebuah lembaga pendidikan khususnya dalam hal layanan bagi aktivitas akademika, dosen, mahasiswa, dan tenaga kependidikan. Layanan dalam suatu sistem informasi berbasis web perlu diukur untuk mengetahui tingkat kualitas website bagi pengguna. penelitian ini, untuk menentukan kualitas website STIKES Garuda Putih Kota Jambi dalam memenuhi kebutuhan penguna kepuasaan menggunakan metode webqual 4.0. Metode yang digunakan dalam menentukan kualitas website Stikes Garuda putih kota jambi adalah metode webqual 4.0 yang terdiri dari empat variabel yakni variable usability, information quality, interaction quality dan User Satisfaction. Sampel penelitian berjumlah 173 responden. Pengambilan sampel secara acak dan berstrata. Data dikumpulkan melalui angket berisi pernyataan tentang persepsi mahasiswa terhadap website SITKES Garuda Putih kota jambi. Data yang terkumpul diolah dengan SPSS serta melakukan uji untuk mengetahui kualitas website STIKES Garuda Putihkota jambi. Dari hasil perhitungan yang telah dilakukan oleh peneliti, diperoleh nilai variabel Intraction Quality lebih besar dibandingkan variabel Information Quality dan variabel Usability Quality, dengan begitu Variabel Intraction Quality memiliki pengaruh yang lebih besar daripada variabel yang lainnya, yang dapat dilihat dari nilai t hitung variabel Interaction Quality sebesar 5,946 dibadingkan nilai t hitung variabel Information Quality sebesar 1,510 dan variabel Usability Quality sebesar 2,838.
 
 
 
Daftar Pustaka (2015-2022)
Perancangan Aplikasi Simpan Pinjam Pada KUD Sumber Rezeki Batanghari Berbasis Web
Authors: Anggi Anferta  , Khairuldi  , Pahlevi M. Riza
Published: May 2024

KUD Sumber Rezeki Batanghari merupakan salah satu koperasi di provinsi Jambi dan pengolahan data simpan pinjam simpan pinjam masih menggunakan pencatatan ke dalam buku dan direkap kembali ke dalam microsoft excel. Sehingga terjadi permasalahan yaitu proses pengolahan data simpan pinjam terkadang terjadi kesalahan khususnya untuk perhitungan nilai saldo, penyebaran informasi mengenai data pinjaman dan pembayaran pinjaman, pegawai koperasi harus melakukan rekap data ulang sesuai dengan data pada buku, dan sering terjadi ketidakakuratan dalam menyusun laporan karena harus mengumpulkan dokumen-dokumen transaksi yang tidak beraturan di periode sebelumnya. Oleh karena itu, penulisan ini bertujuan memberikan solusi untuk permasalahan yang terjadi dengan menawarkan aplikasi simpan pinjam berbasis web menggunakan bahasa pemograman PHP dan DBMS MySQL dimana penulis melakukan pengembangan sistem dengan metode waterfall dan menggunakan pendekatan model sistem unified model language menggunakan use case diagram, activity diagram, class diagram dan flowchart. Aplikasi simpan pinjam pada KUD Sumber Rezeki Batanghari memberikan hasil yang mampu memudahkan pegawai dalam melakukan pengelolaan data simpan pinjam dan mencetak laporan yang diperlukan dan juga memudahkan anggota dalam melihat informasi transaksi dan mengajukan pinjaman.
Kata Kunci : Aplikasi, Simpan, Pinjam, Koperasi, Web
Strategi Peningkatan Kepuasan Pelanggan di Café Kopi Ketje, Kota Jambi: Evaluasi Harga, Kualitas Pelayanan, dan Kualitas Produk
Authors: Saputra Muhammad Haris , Mira Gustiana Pangestu  , Carissa Margaretha  , Marcel Rivaldo  , Marcellino Christian  , Zhee Reylia Vauzan
Published: May 2024

Penelitian ini bertujuan untuk mengoptimalkan kepuasan pelanggan di Café Kopi Ketje, Kota Jambi, dengan mengulas dan mengevaluasi pengaruh harga, kualitas pelayanan, dan kualitas produk. Metode eksploratif yang diterapkan mengandalkan pendekatan kuantitatif, dengan 100 responden yang dipilih sebagai sampel. Melalui analisis menggunakan aplikasi SPSS, data yang terhimpun diuji, sementara pengumpulan informasi dilakukan melalui penyebaran kuesioner berisi 38 pertanyaan kepada pelanggan Café Kopi Ketje di Kota Jambi melalui platform online. Temuan penelitian mengindikasikan bahwa, pertama, harga tidak memberikan pengaruh yang signifikan terhadap tingkat kepuasan pelanggan. Kedua, kualitas pelayanan membawa pengaruh yang signifikan terhadap tingkat kepuasan pelanggan. Ketiga, kualitas produk juga terbukti memengaruhi kepuasan pelanggan secara positif. Hasil akhir menunjukkan bahwa kombinasi yang optimal dari faktor harga, kualitas pelayanan, dan kualitas produk memiliki dampak positif yang signifikan terhadap kepuasan pelanggan di Café Kopi Ketje, Kota Jambi. Sebagai respons terhadap temuan ini, beberapa strategi direkomendasikan untuk diterapkan oleh Café Kopi Ketje guna meningkatkan pengalaman pelanggan. Strategi tersebut melibatkan optimalisasi kebijakan harga, peningkatan kualitas pelayanan, inovasi dalam kualitas produk dan variasi menu, serta implementasi program loyalitas pelanggan. Pemahaman lebih lanjut terhadap segmen usia 10-20 tahun juga menjadi fokus dalam meningkatkan relevansi dan daya tarik kafe terhadap kelompok ini. Penerapan strategi ini secara holistik diharapkan dapat membantu Café Kopi Ketje mencapai dan mempertahankan tingkat kepuasan pelanggan yang optimal, memperkuat basis pelanggan yang sudah ada, dan menarik perhatian segmen pelanggan baru.