bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Factors Influencing Farmers’ Adoption of E-Commerce for Agricultural Products: A Case Study of Wuchang City
Authors: He Cuiping , Hao Huicheng , Su Yanhui , Yang Jiaxuan
Published: November 2024

The widespread popularization of Internet technology has facilitated the emergence of e-commerce as a novel avenue for agricultural product sales, driven by its convenience and broad reach. Nevertheless, in Wuchang City, a well-developed agricultural region in northeastern China, some farmers still exhibit low enthusiasm for participating in agricultural product e-commerce, with limited levels of engagement. To investigate the underlying causes, this study analyzes survey data from 301 farmers in Wuchang City and uses mean difference significance tests and Logistic and Tobit regression models to explore the factors influencing farmers’ adoption of e-commerce for agricultural products. The results demonstrate that gender and the number of household members involved in agricultural labor significantly influence the adoption decision and the extent of adoption. There is a significant difference in the adoption of decisions among ages. Subjective willingness and policy perception positively and significantly influence the adoption decision. Risk perception significantly and negatively impacts the extent of adoption. Infrastructure exerts a significant and negative influence on the adoption decision but a significant and positive influence on the extent of adoption. Based on these findings, this study suggests localized reforms, enhanced e-commerce promotion, and differentiated training to boost farmers’ adoption, promoting sustainable development of the agricultural e-commerce economy.
Management of Tanning Waste from Leather Processing by Anaerobic Digestion Using a Dynamic Method on a Semi-Technical Scale
Authors: Czarnecki Michał , Wrzesińska-Jędrusiak Edyta , Konkol Izabela , Świerczek Lesław , Postawa Karol , Kułażyński Marek , Myczko Andrzej
Published: November 2024

In the context of climate policy, measures are being taken around the world to reduce pollution. These have been intensified in the areas of transport, industry, and energy, with the goal of zero emissions. The role of the biogas plant in energy transition and as a waste treatment plant for disposal is very important. This article describes research on a dynamic anaerobic digestion (AD) process plant. The subject of this study was leather shavings, which is a problematic waste. The research presented here is intended to demonstrate the decomposition of the flesh in the process, to confirm its biogas yield, and to evaluate the biological and technical parameters of the process. High biochemical stability was achieved for each of the tests evaluated, and no specific technical requirements were demonstrated. The only technical aspect to be addressed during operation was sedimentation, which can be solved by preparing the mixture earlier or by changing the mixing method. This made it reasonable to investigate the material further in the context of an industrial project. The characteristics of protein degradation in the AD process resulted in a high methane content in the biogas, above 65%. It was also observed that the long conditioning time of biogas in the gas cushion favourably affected the proportion of methane in biogas. Analytical results confirmed 77.5% methane content, which was a very good result. This paper presents the results of a surprising effect of chromium, primarily Cr (III), on the performance of anaerobic digestion.
Recommendations for Implementing Therapeutic Gardens to Enhance Human Well-Being
Authors: Pimentel Helena Carla B. , Lima Ana Paula M. de , Latawiec Agnieszka E.
Published: November 2024

Using nature to address socio-environmental challenges has emerged as a promising alternative to improve human well-being. Therapeutic gardens are landscaped outdoor spaces in health institutions, squares, and schools developed to improve the well-being of their users. However, there are information gaps on how to implement them. This study aims to systematize information about therapeutic gardens and use it to develop recommendations for implementing these spaces. We conducted a systematic review, which included 27 studies that contained the words therapeutic gardens, design, and/or implementation. The results indicated that the topic does not have a constant number of publications. Most articles are case studies in Europe (n = 8) and published in journals about environmental and health issues (n = 25). Furthermore, most studies (n = 23) relate the implementation of therapeutic gardens to health institutions. A framework with seven stages of recommendations was developed to guide the implementation and monitoring of these gardens in different spaces. This study is expected to contribute to the development of therapeutic gardens with an interdisciplinary team, promote SDG 3 (good health and well-being), and, mainly, improve the well-being of users.
The Impact Mechanism of the Low-Carbon Pilot Policy on Urban Carbon Emissions in China
Authors: Lv Qian , Lv Tao , Li Cong , Wang Cheng , Shi Jiguang , Xie Jing
Published: November 2024

To explore the impact mechanisms of China’s low-carbon pilot policies on urban carbon emissions, this paper employs the propensity-score-matched difference-in-differences (PSM-DID) methodology, in conjunction with a dynamic marginal effect analysis, to examine the mechanisms through which China’s low-carbon pilot policies, initiated in three phases at disparate points in time, influence urban carbon emissions. The analysis is based on urban panel data from 2009 to 2020. The case demonstrates that the low-carbon pilot policies have had a considerable positive impact on the reduction of urban carbon emissions. Improving the efficiency of energy use and promoting the transformation of the industrial structure towards modern services are pivotal to curbing the intensity of carbon emissions. While the impact on the secondary industry is not statistically significant, these policies do have a significant impact on the restructuring of the tertiary industry. Increasing the amount of carbon sink in urban green spaces likewise has no discernible impact on lowering carbon emissions. Consequently, it is recommended that low-carbon technological innovation be further strengthened, including industrial upgrading, energy consumption control, and renewable energy development. Through these strategies, not only can carbon emissions be effectively reduced, they can thereby facilitate the creation of an environmentally friendly and resilient low-carbon city.
Hesitant Fuzzy Monotonic Dependent OWA Operator and Its Application in Symmetric Group Decision-Making
Authors: Li Deqing , Bian Hongya , Wang Hongjian , Ma Rong , Zeng Wenyi
Published: November 2024

Some new techniques of aggregating hesitant fuzzy numbers (HFNs) by using monotonic dependent OWA (MDOWA) operators are investigated. By utilizing the score value of HFN, the concepts of hesitant fuzzy configuration vector and hesitant fuzzy hybrid configuration vector are proposed. Then, some methods of calculating variable weights related to the MDOWA operators under hesitant fuzzy environments are presented. Further, some operators, including hesitant fuzzy monotonic dependent OWA (HFMDOWA) operators and hesitant fuzzy hybrid monotonic dependent OWA (HFHMDOWA) operators, are developed, such as balanced HFMDOWA operators, rewarded HFMDOWA operators, balanced HFHMDOWA operators, rewarded HFHMDOWA operators, and so on. These developed operators are applied to multiple criteria group decision making (MCGDM), and a novel MCGDM algorithm is presented. By using the presented operators and algorithm, we can obtain symmetric decision-making results. Finally, an application example is provided to demonstrate the effectiveness of the developed MCGDM techniques.
Multipole Moments Under Square Vortex and Skyrmion Crystals
Authors: Hayami Satoru
Published: November 2024

Non-coplanar spin textures such as magnetic vortices and skyrmions manifest themselves in unusual physical phenomena owing to their topologically nontrivial properties. Here, we investigate emergent multipole moments under vortex and skyrmion crystals in the centrosymmetric tetragonal system. Depending on the vorticity and helicity of the vortex or skyrmion, various multipole moments, including magnetic toroidal and electric toroidal multipoles, are induced on the atomic scale. In particular, the vortex and skyrmion spin textures consisting of multiple spin density waves give rise to density waves in terms of other multipole moments. Our results reveal a close relationship between non-coplanar multiple-Q spin textures and multipole moments.
A New High-Order Fractional Parallel Iterative Scheme for Solving Nonlinear Equations
Authors: Shams Mudassir , Carpentieri Bruno
Published: November 2024

Solving fractional-order nonlinear equations is crucial in engineering, where precision and accuracy are essential. This study introduces a novel fractional parallel technique for solving nonlinear equations. To enhance convergence, we incorporate a simple root-finding method of order 3γ + 1 as a correction term in the parallel scheme. Theoretical analysis shows that the parallel scheme achieves a convergence order of 6γ + 3. Using a dynamical system approach, we identify optimal parameter values, and the symmetry in the dynamical planes for different fractional parameters demonstrates the method’s stability and consistency in handling nonlinear problems. These parameter values are applied to the parallel scheme, yielding highly consistent results. Several engineering problems are examined to assess the method’s efficiency, stability, and consistency compared to existing methods.
Learning-Based Multi-Stage Formation Scheduling with a Hybrid Controller
Authors: Zhang Zhichao , Li Yao
Published: November 2024

In the past decades, multi-agent systems have been a hot topic due to their wide applications, and the formation of multi-agent systems is a branch involving navigation, obstacle avoidance, controller design, and other issues. Due to the increasing requirements for accuracy and efficiency, as well as for a bridge to link the sensing and control stages, the importance of transmission scheduling is gradually emerging, with the scheduling of limited resources under various constraints to better complete tasks becoming a focus of attention. However, most of the literature only considers the formation process as a whole, while overlooking the discrepancies in the formation process at different time stages. In this paper, a multi-stage formation scheduling problem with limited communication resources is studied. A multi-stage model has been proposed based on the different completion levels of formation. Compared to the single-stage model, the proposed multi-stage model reflects the different requirements during the formation process. Furthermore, in order to save communication energy, three transmission modes have been defined to reduce energy consumption in terms of communication frequency and communication radius. Considering the need for the dynamic scheduling of coupled parameters, we propose a reinforcement-learning-based hybrid controller which includes a basic controller and a fuzzy controller. The hybrid controller, which continuously adjusts parameters according to the requirements of each stage, conducts a trade-off between system performance and energy consumption. Additionally, the reinforcement learning ensures that all parameters are optimal in the corresponding situation. The simulation results show that our controller ensures both dynamic and steady-state performance with lower energy consumption. The comparison with other scheduling strategies demonstrates the optimality and effectiveness of our proposed framework and algorithms.
Low-Carbon Water–Rail–Road Multimodal Routing Problem with Hard Time Windows for Time-Sensitive Goods Under Uncertainty: A Chance-Constrained Programming Approach
Authors: Sun Yan , Ge Yan , Li Min , Zhang Chen
Published: November 2024

In this study, a low-carbon freight routing problem for time-sensitive goods is investigated in the context of water–rail–road multimodal transportation. To enhance the on-time transportation of time-sensitive goods, hard time windows are employed to regulate both pickup and delivery services at the start and end of their transportation. The uncertainty of both the demand for time-sensitive goods and the capacity of the transportation network are modeled using L-R triangular fuzzy numbers in the routing process to make the advanced routing more feasible in the actual transportation. Based on the carbon tax policy, a fuzzy linear optimization model is established to address the proposed problem, and an equivalent chance-constrained programming formulation is then obtained to make the solution to the problem attainable. A numerical experiment is carried out to verify the feasibility of incorporating the carbon tax policy, uncertainty, and water–rail–road multimodal transportation to optimize the low-carbon freight routing problem for time-sensitive goods. Furthermore, a multi-objective optimization is used to reveal that lowering the transportation costs, reducing the carbon emissions, and avoiding the risk are in conflict with each in the routing. We also analyze the sensitivity of the optimization results concerning the confidence level of the chance constraints and the uncertainty degree of the uncertain demand and capacity. Based on the numerical experiment, we draw several conclusions to help the shipper, receiver, and multimodal transportation operator to organize efficient water–rail–road multimodal transportation for time-sensitive goods.
Optimal Strategies for E-Commerce Platform Supply Chain: Carbon Emission Reduction and Financing
Authors: Zhang Yuting , Shang Juan
Published: November 2024

In the context of global carbon emission reduction (CER) targets and slowing economic growth, it is imperative for suppliers to make informed choices regarding CER and financing strategies. However, limited research has explored the impact of financing strategies on CER. This paper develops a supply chain model that includes a supplier, a manufacturer, an E-commerce platform (E-C platform), and consumers with a preference for low-carbon products. The supplier sets the wholesale price, while the manufacturer controls both the production quantity and the unit amount of CER. We examine whether the manufacturer will invest in CER with sufficient capital or under various financing scenarios, namely (1) traditional production with sufficient capital (Scenario ST); (2) CER implementation with sufficient capital (Scenario SG); (3) CER implementation with E-C platform financing (Scenario EG); (4) CER implementation with bank financing (Scenario BG). Through comparative analysis, the analysis reveals that, regardless of the financing method chosen, the supplier’s profit and the manufacturer’s production quantity increase when the manufacturer invests in CER technology innovation compared to the traditional scenario. Furthermore, in terms of the manufacturer’s profit, if the service cost of bank financing exceeds a certain threshold, the manufacturer should either seek financing from the E-C platform or abandon the CER investment. Additionally, with respect to CER outcomes, Scenario BG outperforms Scenario EG. These findings provide a theoretical foundation and decision-making support for supply chain participants when addressing carbon reduction and financing strategy decisions.
Association Between Long-Term Exposure to Ambient Air Pollution and Fasting Blood Glucose: A Systematic Review and Meta-Analysis
Authors: Wu Tong , Lan Yang , Li Ge , Wang Kai , You Yu , Zhu Jiaqi , Ren Lihua , Wu Shaowei
Published: November 2024

Increasing studies are indicating a potential association between ambient air pollution exposure and fasting blood glucose (FBG), an indicator of prediabetes and diabetes. However, there is inconsistency within the existing literature. The aim of this study was to summarize the associations of exposures to particulate matters (PMs) (with aerodynamic diameters of ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), respectively) and gaseous pollutants (sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3)) with FBG based on the existing epidemiological research for a better understanding of the relationship between air pollution and diabetes. Up to 2 July 2024, we performed a comprehensive literature retrieval from various electronic databases (PubMed, Web of Science, Scopus, and Embase). Random-effect and fixed-effect models were utilized to estimate the pooled percent changes (%) and 95% confidence intervals (CIs). Then, subgroup meta-analyses and meta-regression analyses were applied to recognize the sources of heterogeneity. There were 33 studies eligible for the meta-analysis. The results showed that for each 10 μg/m3 increase in long-term exposures to PM1, PM2.5, PM10, and SO2, the pooled percent changes in FBG were 2.24% (95% CI: 0.54%, 3.96%), 1.72% (95% CI: 0.93%, 2.25%), 1.19% (95% CI: 0.41%, 1.97%), and 0.52% (95% CI:0.40%, 0.63%), respectively. Long-term exposures to ambient NO2 and O3 were not related to alterations in FBG. In conclusion, our findings support that long-term exposures to PMs of various aerodynamic diameters and SO2 are associated with significantly elevated FBG levels.
Regional and Longitudinal Dynamics of Cyanobacterial Blooms/Cyanobiome and Cyanotoxin Production in the Great Lakes Area
Authors: Saleem Faizan , Jiang Jennifer L. , Li Enze , Tran Kevin , Boere Adam , Rahman Mahbuba , Paschos Athanasios , Westrick Judy A. , Zastepa Arthur , Edge Thomas A. , Schellhorn Herb E.
Published: November 2024

Cyanobacteria (blue-green algae) are a diverse group of prokaryotic microorganisms that impact global biogeochemical cycles. Under eutrophic conditions, cyanobacterial species can produce cyanotoxins, resulting in harmful algal blooms (cHABs) that degrade water quality and result in economic and recreational losses. The Laurentian Great Lakes, a key global freshwater source, are increasingly affected by these blooms. To understand the underlying mechanisms in cHAB formation, we investigated microcystin levels, cyanotoxin genes/transcripts, and taxonomic/microcystin metabarcoding across three sampling locations in the Canadian Great Lakes region, including Hamilton Harbour, Bay of Quinte, and Three Mile Lake (Muskoka), to observe the regional and longitudinal cyanobacterial dynamics. The results revealed a positive correlation between microcystin levels, the occurrence of cyanobacterial taxonomic/cyanotoxin molecular markers, and the relative widespread abundance of specific dominant cyanobacterial taxa, including Planktothrix, Microcystis, and Dolichospermum. The Cyanobium genus was not observed in Hamilton Harbor samples during late summer (August to September), while it was consistently observed in the Three Mile Lake and Bay of Quinte samples. Notably, Dolichospermum and saxitoxin genes were predominantly higher in Three Mile Lake (an inland lake), suggesting site-specific characteristics influencing saxitoxin production. Additionally, among the potential microcystin producers, in addition to Microcystis, Hamilton Harbour and Bay of Quinte samples showed consistent presence of less dominant microcystin-producing taxa, including Phormidium and Dolichospermum. This study highlights the complexity of cHAB formation and the variability in cyanotoxin production in specific environments. The findings highlight regional and site-specific factors that can influence cyanobacterial taxonomic and molecular profiles, necessitating the integration of advanced molecular technologies for effective monitoring and targeted management strategies.
Botulinum Toxin for the Treatment of Raynaud’s Conditions of the Hand: Clinical Practice Updates and Future Directions
Authors: O’Donohoe Patrick , McDonnell Jake , Wormald Justin , Aljohmani Lylas , Cronin Kevin , Durcan Laura , Kennedy Oran , Dolan Roisin
Published: November 2024

Raynaud’s conditions of the hand, referred to commonly as Raynaud’s phenomenon, both primary and secondary, represents a spectrum of disorders affecting the digits, characterised by recurrent episodes of vasospasm that result in a triad of symptoms: pain, pallor, and cyanosis. Various therapies, ranging from conservative hand therapy techniques to surgical sympathectomy, have been explored with inconsistent results. Recently, the local administration of botulinum toxin type-A (BTX-A) has re-emerged as a treatment option for this condition. This review delves into the mechanistic pathways of BTX-A therapy, optimal dosing concentrations, administration techniques, and its safety profile. A critical analysis of published studies to date demonstrates varied clinical efficacy of BTX-A in Raynaud’s conditions based on patient-reported outcome measures and objective measures of outcomes assessment. Thus, in order to accurately assess the clinical effectiveness of BTX-A in future robust studies, this review emphasises the importance of streamlining patient selection to minimise heterogeneity in disease severity, optimising recruitment to ensure adequate statistical power, and establishing sensitive outcome measures to monitor response and discern treatment efficacy. Additionally, addressing concerns such as minimising antibody resistance, extending the duration of treatment effects on tissues, and exploring new modalities to assess hand perfusion will be focal points for future research and BTX-A drug development.
Beyond Leakage: Non-Revenue Water Loss and Economic Sustainability
Authors: Santos Eleonora
Published: November 2024

Water loss in urban supply systems poses significant challenges for water utility companies worldwide, affecting both sustainable access to clean water and the financial viability of utility operations. This study analyzes the evolution of water losses in high-level supply systems from 2017 to 2021 in Portugal, focusing on its implications for the profitability of water utility companies across NUTs II regions. Drawing on data from various sources, including the National Information System for Water Resources, PORDATA, ERSAR, and ORBIS, this analysis identifies trends, patterns, and potential factors influencing water loss dynamics. Key components of the analysis include calculating average annual losses, examining unbilled water percentages, and conducting regression analysis to quantify the impact of water loss on profit margins. The findings contribute to the literature on water loss management and financial performance in the water utility sector, offering insights for policymakers, water utility managers, and stakeholders to enhance financial sustainability and reduce water losses.
Multidimensional Benefits of Creative Tourism: A Network Approach
Authors: Carvalho Rui Miguel Ferreira , Costa Carlos , Ferreira Ana Maria
Published: November 2024

As creative tourism consolidates both as an autonomous research area and a valid sustainable form of tourism based on learning, active participation, co-creation, creative self-expression, and local community engagement, its economic models have evolved from simple creative activities to complex territorial and technological-based networks, boosting the entrepreneurship of creative communities in tourism. Seen as a means of territorial development strategy through tourism, creative networks can stem from private partnerships, the public sector, the local community, or third sector organisations. Focusing on a case study approach, this research adopts a multidimensional framework with the goal of analysing the benefits of creative tourism towards a creative tourism network. Using a quantitative approach through Likert scale statements of five items, this research aimed to study the creative supply and demand linked to a creative tourism network. Based on the principles and benefits of creative tourism and the goals of the creative network, the following dimensions were analysed: job creation; production and commerce of creative products; safeguarding of tangible and intangible heritage; development of social capital between network agents; creative and innovative images of the region; the active role of the local community in the network; and the consumption profile of the creative tourist through the network. The main conclusions of the study point to the network boosting local job creation and preserving local traditions but struggling to expand sales and increase tourist stays. While it enhances the region’s image, there is a need for stronger collaboration and community engagement.
Cell-Free Screening, Production and Animal Testing of a STI-Related Chlamydial Major Outer Membrane Protein Supported in Nanolipoproteins
Authors: Mohagheghi Mariam , Abisoye-Ogunniyan Abisola , Evans Angela C. , Peterson Alexander E. , Bude Gregory A. , Hoang-Phou Steven , Vannest Byron Dillon , Hall Dominique , Rasley Amy , Weilhammer Dina R. , Fischer Nicholas O. , He Wei , Robinson Beverly V. , Pal Sukumar , Slepenkin Anatoli , de la Maza Luis , Coleman Matthew A.
Published: November 2024

Background: Vaccine development against Chlamydia, a prevalent sexually transmitted infection (STI), is imperative due to its global public health impact. However, significant challenges arise in the production of effective subunit vaccines based on recombinant protein antigens, particularly with membrane proteins like the Major Outer Membrane Protein (MOMP). Methods: Cell-free protein synthesis (CFPS) technology is an attractive approach to address these challenges as a method of high-throughput membrane protein and protein complex production coupled with nanolipoprotein particles (NLPs). NLPs provide a supporting scaffold while allowing easy adjuvant addition during formulation. Over the last decade, we have been working toward the production and characterization of MOMP-NLP complexes for vaccine testing. Results: The work presented here highlights the expression and biophysical analyses, including transmission electron microscopy (TEM) and dynamic light scattering (DLS), which confirm the formation and functionality of MOMP-NLP complexes for use in animal studies. Moreover, immunization studies in preclinical models compare the past and present protective efficacy of MOMP-NLP formulations, particularly when co-adjuvanted with CpG and FSL1. Conclusion: Ex vivo assessments further highlight the immunomodulatory effects of MOMP-NLP vaccinations, emphasizing their potential to elicit robust immune responses. However, further research is warranted to optimize vaccine formulations further, validate efficacy against Chlamydia trachomatis, and better understand the underlying mechanisms of immune response.
Enhanced Humoral and Cellular Immune Responses Elicited by Adenoviral Delivery of SARS-CoV-2 Receptor-Binding Motif Fused to Human Fc
Authors: Lee Yea-Jin , Easwaran Maheswaran , Jung Yong-Sam , Qian Yingjuan , Shin Hyun-Jin
Published: November 2024

Background/Objectives: The receptor binding motif (RBM) of the SARS-CoV-2 spike protein is critical for viral entry into host cells. Development of a vaccine targeting this region is a promising strategy for COVID-19 prevention. To enhance the immunogenicity of SARS-CoV-2 vaccines, we developed an adenoviral vector expressing the RBM from the SARS-CoV-2 spike protein that fused to the human Fc (hFc) domain. Methods: The recombinant RBM_hFc fusion protein was successfully cloned into the pacAd5CMV-N-pA (pAd5) vector and expressed in HEK293 cells as a ~40 kDa protein. A recombinant adenovirus encoding RBM_hFc was subsequently generated and confirmed by cytopathic effect assay. Results: Western blot analysis verified the expression of RBM_hFc in the adenovirus (AdV). ELISA assays, validated for IgG detection, demonstrated a twofold increase in IgG antibody levels (M–1.090 at 450 nm; SD—±0.326; and 95% CI—0.250 [0.839 to 1.340]) in sera from BALB/c mice immunized with Ad/RBM_hFc, compared to the negative control group. Result suggests a robust humoral immune response induced by the Ad/RBM_hFc vaccine. Moreover, ELISpot assays demonstrated a tenfold increase in IFN-γ -producing cells (M—440 spot-forming cells; SD—±124.976; and 95% CI—75.522 [364.478 to 515.522]) in mice immunized with AdV/RBM_hFc compared to the negative control group. Result proved that AdV/RBM_hFc-stimulated a robust cellular immune response in animal model. Conclusions: Our findings indicate that the RBM_hFc fusion protein enhances both humoral and cellular immune responses. These results suggest the potential of adenoviral vectors carrying RBM_hFc as vaccine candidates. However, comprehensive evaluation of the protective efficacy of these adenoviral vectors will necessitate rigorous experimental studies.
The Potential Impact of a Single-Dose HPV Vaccination Schedule on Cervical Cancer Outcomes in Kenya: A Mathematical Modelling and Health Economic Analysis
Authors: Umutesi Grace , Hathaway Christine L. , Heitner Jesse , Jackson Rachel , Miano Christine W. , Mugambi Wesley , Khalayi Lydiah , Mwenda Valerian , Oluoch Lynda , Nyangasi Mary , Jalang’o Rose , Mugo Nelly R. , Barnabas Ruanne V.
Published: November 2024

Background: Human Papillomavirus (HPV) is the primary cause of cervical cancer. Single-dose HPV vaccination can effectively prevent high-risk HPV infection that causes cervical cancer and accelerate progress toward achieving cervical cancer elimination goals. We modelled the potential impact of adopting single-dose HPV vaccination strategies on health and economic outcomes in Kenya, where a two-dose schedule is the current standard. Methods: Using a validated compartmental transmission model of HPV and HIV in Kenya, we evaluated the costs from the payer’s perspective to vaccinate girls by age 10 with either one or two doses and increasing coverage levels (0%, 70%, 77%, 90%). Additionally, we modelled single-dose strategies supplemented with either catch-up vaccination of adolescent girls and young women or vaccination for all by age 10, funded with the first five-years of cost savings of switching from a two- to one-dose schedule. Costs and outcomes were discounted at 3% annually, and incremental cost-effectiveness ratios (ICERs) were calculated per disability-adjusted-life-year (DALY) averted. Results: All one-dose and the two-dose 90% coverage strategies were on the efficiency frontier, dominating the remaining two-dose strategies. The two-dose 90% coverage strategy had a substantially higher ICER (US$6508.80/DALY averted) than the one-dose 90% coverage (US$197.44/DALY averted). Transitioning from a two- to one-dose schedule could result in US$21.4 Million saved over the first five years, which could potentially fund 2.75 million supplemental HPV vaccinations. With this re-investment, all two-dose HPV vaccination scenarios would be dominated. The greatest DALYs were averted with the single-dose HPV vaccination schedule at 90% coverage supplemented with catch-up for 11–24-year-old girls, which had an ICER of US$78.73/DALYs averted. Conclusions: Considering the logistical and cost burdens of a two-dose schedule, a one-dose schedule for girls by age 10 would generate savings that could be leveraged for catch-up vaccination for older girls and accelerate cervical cancer elimination in Kenya.
Multi-Epitopic Peptide Vaccine Against Newcastle Disease Virus: Molecular Dynamics Simulation and Experimental Validation
Authors: Zeb Muhammad Tariq , Dumont Elise , Khan Muhammad Tahir , Shehzadi Aroosa , Ahmad Irshad
Published: November 2024

Background: Newcastle disease virus (NDV) is a highly contagious and economically devastating pathogen affecting poultry worldwide, leading to significant losses in the poultry industry. Despite existing vaccines, outbreaks continue to occur, highlighting the need for more effective vaccination strategies. Developing a multi-epitopic peptide vaccine offers a promising approach to enhance protection against NDV. Objectives: Here, we aimed to design and evaluate a multi-epitopic vaccine against NDV using molecular dynamics (MD) simulation. Methodology: We retrieved NDV sequences for the fusion (F) protein and hemagglutinin–neuraminidase (HN) protein. Subsequently, B-cell and T-cell epitopes were predicted. The top potential epitopes were utilized to design the vaccine construct, which was subsequently docked against chicken TLR4 and MHC1 receptors to assess the immunological response. The resulting docked complex underwent a 1 microsecond (1000 ns) MD simulation. For experimental evaluation, the vaccine’s efficacy was assessed in mice and chickens using a controlled study design, where animals were randomly divided into groups receiving either a local ND vaccine or the peptide vaccine or a control treatment. Results: The 40 amino acid peptide vaccine demonstrated strong binding affinity and stability within the TLR4 and MHC1 receptor–peptide complexes. The root mean square deviation of peptide vaccine and TLR4 receptor showed rapid stabilization after an initial repositioning. The root mean square fluctuation revealed relatively low fluctuations (below 3 Å) for the TLR4 receptor, while the peptide exhibited higher fluctuations. The overall binding energy of the peptide vaccine with TLR4 and MHC1 receptors amounted to −15.7 kcal·mol−1 and −36.8 kcal·mol−1, respectively. For experimental evaluations in mice and chicken, the peptide vaccine was synthesized using services of GeneScript Biotech® (Singapore) PTE Limited. Experimental evaluations showed a significant immune response in both mice and chickens, with the vaccine eliciting robust antibody production, as evidenced by increasing HI titers over time. Statistical analysis was performed using an independent t-test with Type-II error to compare the groups, calculating the p-values to determine the significance of the immune response between different groups. Conclusions: Multi-epitopic peptide vaccine has demonstrated a good immunological response in natural hosts.
Relationship Between Aquatic Factors and Sulfide and Ferrous Iron in Black Bloom in Lakes: A Case Study of a Eutrophic Lake in Eastern China
Authors: Wang Liang , Xu Changlin , Niu Hao , Liu Nian , Xu Meiling , Wang Yulin , Cheng Jilin
Published: November 2024

Black bloom is a very serious water pollution phenomenon in eutrophic lakes, with Fe(II) and S(−II) being the key limiting factors for this problem. In this paper, three different machine learning methods, namely, Random Forest (RF), Gaussian Mixture Model (GMM), and Bayesian Network (BN), were used to explore the complex interactions among Fe(II), S(−II), and other aquatic factors in the estuary of Chaohu Lake to better characterize and monitor water degradation by black bloom. The results of RF showed that total nitrogen (TN), ammonia, total phosphorous (TP), suspended sediment concentration (SSC), and oxidation–reduction potential (ORP), which were chosen from 11 factors, had the most important relationships with Fe(II) and S(−II). The 69 sampling sites were divided in three groups identified as worst, worse, and bad according to the observed values of seven factors using the GMM. Then, the BN model was applied to three observation groups. The results showed that the structures of the interaction networks were different between the groups. S(−II) controlled only SSC production in the bad and worse group sites, while SSC was determined by both S(−II) and Fe(II) in the worst group. Ammonia and TN exhibited the most direct importance for S(−II) and Fe(II) production in all observation groups. According to the indications from the BNs, potential management strategies for different water pollution conditions were developed. Finally, the threshold values of Fe(II), S(−II), TP, ammonia, TN, SSC, and ORP, which were 0.80 mg/L, 0.04 mg/L, 0.45 mg/L, 3.44 mg/L, 4.15 mg/L, 55 mg/L, and 135 mv, respectively, were determined on the basis of the BN models. These values will be helpful to develop accurate strategies of oxygenation to quickly eliminate black bloom in the lake.
Water Temperature Model to Assess Impact of Riparian Vegetation on Jucar River and Spain
Authors: Miñana-Albanell Carlos , Ryu Dongryeol , Pérez-Martín Miguel Ángel
Published: November 2024

Water temperature is a critical factor for aquatic ecosystems, influencing both chemical and biological processes, such as fish growth and mortality; consequently, river and lake ecosystems are sensitive to climate change (CC). Currently proposed CC scenarios indicate that air temperature for the Mediterranean Jucar River will increase higher in summer, 4.7 °C (SSP5-8.5), resulting in a river water temperature increase in the hotter month; July, 2.8 °C (SSP5-8.5). This will have an impact on ecosystems, significantly reducing, fragmenting, or even eliminating natural cold-water species habitats, such as common trout. This study consists of developing a simulated model that relates the temperature of the river with the shadow generated by the riverside vegetation. The model input data are air temperature, solar radiation, and river depth. The model proposed only has one parameter, the shadow river percentage. The model was calibrated in a representative stretch of the Mediterranean river, obtaining a 0.93 Nash–Sutcliffe efficiency coefficient (NSE) that indicates a very good model fit, a 0.90 Kling–Gupta efficiency index (KGE), and a relative bias of 0.04. The model was also validated on two other stretches of the same river. The results show that each 10% increase in the number of shadows can reduce the river water temperature by 1.2 °C and, in the stretch applied, increasing shadows from the current status of 62% to 76–87% can compensate for the air temperature increase by CC. Generating shaded areas in river restorations will be one of the main measures to compensate for the rise in water temperature due to climate change.
Comprehensive Control of Water Quality Deterioration in Building Water Supply Systems: A Review on Configuration, Purification and Regulation
Authors: Li Na , Liu Yong-Wang , Li Xing , Fan Xiao-Yan , Wang Nan , Zhao Li
Published: November 2024

The overall goal of urban water supply is to ensure the water quality from source to tap. As the “last mile”, the building water supply system (BWSS) is the crucial part in ensuring tap water safety, and its deteriorating water quality has attracted increasing attention. In this work, we provide a comprehensive overview of the pollution, configuration, purification and regulation of BWSSs, with a focus on ensuring water quality safety. Periodic water usage in buildings is a unique feature that leads to intermittent water stagnation and reduced residual chlorine. Biological pollution has become a key focus of existing studies due to its acute effects on human health, compared to the chronic effects of chemical pollution. For new systems, water quality risks can be reduced at the source by optimizing pipe materials and reasonable layout. It is recommended to introduce secondary disinfection technologies, as they are important for ensuring biosecurity. Moreover, supervision and maintenance are the basis for long-term efficient operation of BWSSs. This review constructs a framework for controlling water quality deterioration based on the wholse process, which is instructive for the design, operation, maintenance and management of BWSSs, and provides relatively clear research directions for improving water quality.
Rancang Bangun Game Pengenalan Tari dan Alat Musik Suku Sasak
Authors: Widyaswari Marshanda Raihan , Prawesty Maharani Dian , Sabina Adnisa , Gultom Edelin , Zen Bita Parga
Published: November 2024

Utilizing technology, particularly through interactive multimedia learning, proves effective in enhancing the integration of cultural understanding and preservation in modern education. This medium serves not only as a crucial teaching tool but also facilitates students' comprehension of learning materials actively, enabling them to attain a deeper understanding. The aim of this research is to develop interactive multimedia to introduce the culture of the Sasak tribe, one of the over 300 ethnic groups in Indonesia. Employing the Multimedia Development Life Cycle (MDLC) approach, the study creates the educational application flow, starting from the initial display until users can explore educational content and participate in games. Through Alpha and Beta testing, the application achieves a high rating (4.64 out of 5) in terms of functionality, display, and user satisfaction. The publication is done through itch.io with the link https://dianmaharani17.itch.io/sasak-riddles-game. This application serves as an effective interactive learning tool about the dance and musical instruments of the Sasak tribe, enriching cultural diversity in Indonesia
Analisis Sistem ERP Terhadap Upaya Peningkatan Kinerja Karyawan Menggunakan Metode WebQual 4.0
Authors: Wedhiningsih Nining , Purnamasari Indah
Published: November 2024

Sistem ERP memiliki peran untuk meningkatkan efisiensi bisnis dan kinerja karyawan yang terdapat di suatu perusahaan. Akan tetapi berdasarkan penelitian yang dilakukan pada salah satu perusahaan engineering ternyata terdapat masalah pada sistem ERP yang digunakan oleh karyawannya, yaitu kurang user friendly dan juga terdapat error dari sistem ERP pada saat melakukan cetak invoice. Tujuan dari penelitian ini adalah untuk melakukan analisis dan mengukur pengaruh sistem ERP terhadap upaya peningkatan kinerja karyawan dan juga untuk mengetahui faktor apa saja yang mempengaruhinya. Metode yang diusulkan pada penelitian ini adalah menggunakan metode WebQual 4.0 yang memiliki tiga variabel yaitu Usability Quality, Information Quality, dan Service Interaction Quality. Hasil yang diperoleh dari nilai Uji R2 dapat diketahui bahwa pengaruh sistem ERP terhadap upaya peningkatan kinerja karyawan yaitu sebesar 50,3%. Sedangkan pada hasil Uji T dijelaskan bahwa faktor yang mempengaruhi secara signifikan adalah Usability Quality atau Kualitas Penggunaan dari sistem ERP, hal ini bisa dilihat dari nilai t hitung 2,064 > t tabel 2,013. Oleh karena itu, berdasarkan hasil dari persamaan Analisis Regresi Linier Berganda, nilai koefisien dari Usability Quality (β1) = 0,148, maka dapat dijelaskan bahwa jika Kualitas Penggunaan dari sistem ERP dapat ditingkatkan sebesar 1%, maka kinerja karyawan akan meningkat sebesar 0,148%.
Perencanaan Arsitektur Enterprise Menggunakan Framework TOGAF ADM V.9 Pada RSUD Raden Mattaher Jambi
Authors: Pebriana Retno , Assegaff Setiawan , Fachruddin
Published: November 2024

Rumah Sakit Umum Daerah (RSUD) Raden Mattaher Jambi adalah RSUD kelas B yang didirikan pada tahun 1948. RSUD ini berada di bawah pengelolaan Pemerintah Daerah Provinsi Jambi. Saat ini RSUD Raden Mattaher menyediakan fasilitas yang telah memenuhi Standar Pelayanan Rumah Sakit Nasional. Diantara Layanan yang disediakan adalah layanan rawat jalan, rawat inap serta penunjang medis lainnya. Dalam rangka peningkatan kualitas pelayanan, RSUD menyadari perlu adanya adopsi teknologi informasi terhadap layanan-layanan yang diselenggarakan. Dalam rangka memaksimalkan adopsi Teknologi Informasi pada Layanan RSUD, maka kegiatan Perencanaan menjadi aspek yang sangat vital. Karena itu pada Penelitian ini kami mengangkat topik terkait Perencanaan Arsitektur Enterprise pada RSUD. Dikarenakan Layanan RSUD sangat besar, maka pada Penelitian ini, Peneliti fokus pada Perencanaan Arsitektur Enterprise pada Layanan Rawat Jalan Pasien. Penelitian ini bertujuan untuk menyusun perencanaan arsitektur enterprise menggunakan framewok TOGAF ADM Versi 9.2 pada  RSUD Raden Mattaher Jambi. Adapun tahapan Kerangka kerja yang digunakan dalam menyusun perencanaan ini adalah Preliminary Phase, Architecture Vision, Business Architecture, Information System Architecture, dan Technology Architecture. Penelitian ini menghasilkan dokumen arsitektur enterprise yang memuat arsitektur bisnis, arsitektur data, arsitektur aplikasi dan arsitektur teknologi dari Layanan Rawat Jalan RSUD. Dokumen ini dapat dijadikan rujukan dalam mewujudkan Layanan RSUD berbasis Teknologi Informasi terintegrasi.
ICONIX Process Pada Arsitektur Zend Framework 3 (Software Effort Estimation) Menggunakan Case Based Reasoning
Authors: Borroek Maria , Hadinata Edrian
Published: November 2024

Saat ini berbagai peneliti banyak yang sedang fokus meneliti berbagai macam metodologi dalam pengembangan software karena dengan pemilihan metodologi yang baik maka software yang dihasilkan akan memiliki kualitas yang baik, lebih cepat dan biaya dalam pengembangan software akan menjadi lebih efisien. ICONIX Process adalah metode hybrid dalam metodologi pengembangan software engineering yang dibentuk berdasarkan metodologi pemodelan objek (Object Modeling Technique), Metode Objectory dan Metode Booch. Penggunaan ICONIX Process yang mengadopsi Use Case Driven serta dengan penyesuaian terhadap Arsitektur Zend Framework yang berbasis Event-driven Architecture dalam lingkup paradigma SOLID diharapkan dapat mengkolaborasikan keduanya pada skala penelitian dengan kasus pengembangan software effort estimation pada penelitian sebelumnya. Proses perancangan Software Effort Estimation dan Case Based Reasoning dengan menggunakan metode ICONIX Process pada Arsitektur Zend Framework 3 dengan tujuan agar dapat meminimumkan kesalahan dalam menterjemahkan diagram yang dihasilkan pada proses perancangan. Perhitungan Cosmic Function Point dilakukan pada aplikasi Zend Framework 3 menjadi lebih terstruktur dengan baik dikarenakan proses perhitungan didesain menggunakan class.
Perancangan Sistem E-Voting Pemilu Raya Mahasiswa Di Universitas Dinamika Bangsa
Authors: Sika Xaverius , Pratama Yovi , Riyadi Willy , Kisbianty Desi , Zulia Restutik
Published: November 2024

Pemilihan umum Badan Eksekutif Mahasiswa (BEM) di Universitas Dinamika Bangsa (UNAMA) saat ini masih menggunakan sistem manual yang rentan terhadap kesalahan penghitungan, memakan waktu, dan membatasi partisipasi mahasiswa. Penelitian ini bertujuan untuk mengatasi permasalahan tersebut dengan mengimplementasikan sistem e-voting berbasis website menggunakan framework Laravel. Sistem e-voting yang dikembangkan akan terintegrasi dengan Sistem Informasi Akademik (SIAKAD) untuk memverifikasi identitas pemilih dan memastikan setiap mahasiswa hanya memiliki satu hak suara. Laravel dipilih karena kemudahan pengembangan dan fitur-fiturnya yang mendukung pembuatan aplikasi web yang dinamis dan aman. Fitur-fitur utama sistem ini meliputi pendaftaran pemilih secara otomatis dari SIAKAD, proses voting yang sederhana dan cepat, serta penghitungan suara secara real-time. Dengan menggunakan sistem e-voting berbasis Laravel, diharapkan dapat meningkatkan akurasi hasil pemilihan, mempercepat proses rekapitulasi suara, serta meningkatkan partisipasi mahasiswa. Selain itu, sistem ini juga dapat mengurangi biaya penyelenggaraan pemilihan dan meningkatkan transparansi proses pemungutan suara.