bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Energy Analysis of Different Heat Pump Heating Systems Exploiting Renewable Energy Sources
Authors: Kitsopoulou Angeliki , Zacharis Antonis , Ziozas Nikolaos , Bellos Evangelos , Iliadis Petros , Lampropoulos Ioannis , Chatzigeorgiou Eleni , Angelakoglou Komninos , Nikolopoulos Nikolaos
Published: July 2023

Renewable energy source-fed heat pumps (HPs) may perform up to very high-efficiency standards, offering a promising tool in the wider residential heat decarbonization effort. In this context, this paper investigates different heating configurations utilizing various renewable thermal sources in conjunction with an HP-based system in order to determine the optimal configuration in terms of efficiency, using an existing, fully functioning residential building in Zaragoza, Spain, as our case study, comprising 40 dwellings. Four different HP configurations are investigated:, (i) an air-source system, (ii) a ground-source system, (iii) a dual-source system with solar thermal collectors, and (iv) a triple-source system based on solar, geothermal, and ambient sources. For the purpose of such investigation, detailed dynamic energy simulations are conducted through the use of the INTEMA.building tool (developed in Modelica), applying a multi-objective optimization process that aims at minimizing both the annual electricity consumption and the net present cost. It is demonstrated that the renewable thermally driven HPs are more efficient than the conventional, air-source ones, with the seasonal coefficient of performance increasing by 9.98% (ground source), 4.57% (dual source), and 17.40% (triple source), compared to the air-source heat pump system. Finally, it is revealed (via integrated techno-economic analyses) that the most effective and economical design is the dual source system, while the most expensive is the ground-source configuration. These findings can guide the ongoing design efforts on green residential heat solutions at both research and commercial implementation level.
Capturing Pedagogical Design Capacity of STEM Teacher Candidates: Education for Sustainable Development through Socioscientific Issues
Authors: Stouthart Tuba , Bayram Dury , van der Veen Jan
Published: July 2023

Even though the urge to transform educational practices towards sustainability has been widely recognized, teachers struggle with implementing socioscientific issues (SSI) such as climate change and loss of biodiversity into their lessons. While the research on SSI grows, the literature remains limited in terms of (i) the use of SSI in facilitating education for sustainable development (ESD), and (ii) teachers’ professional learning of SSI-based instruction as a means towards ESD. In this empirical study, we aimed at characterizing five STEM pre-service teachers’ pedagogical design capacity (PDC) by focusing on what resources they use and how they interact with these resources to design SSI-based instruction to teach about the sustainable development goals (SDGs). For this qualitative study, the data were collected through field notes, reflection reports, and semi-structured interviews. Our results reveal that pre-service teachers referred to teacher resources the most, followed by collaborative resources, and instructional resources during their design. Even though their use of resources shows strong connections between SSI and their pedagogical content knowledge, preservice teachers’ consideration regarding assessment remains inadequate. Furthermore, our study shows that professional development sessions have the potential to foster pre-service teachers’ use of PDC resources to address ESD.
Inclusive Leadership and Psychological Contract Fulfilment: A Source of Proactivity and Well-Being for Knowledge Workers
Authors: Rogozińska-Pawełczyk Anna
Published: July 2023

Proactivity is a particularly important attribute of knowledge-intensive companies, where work that requires enhancing the potential of knowledge-intensive employees in a sustainable working environment is crucial. Another important challenge for these firms is to account for the increasing importance of the functioning of the cognitive mechanisms leading to the increased well-being of knowledge workers following the implementation of a psychological contract. The aim of this article is to identify the relationship between inclusive leadership, the fulfilment of a psychological contract, two dimensions of well-being (workplace and life-related well-being), and knowledge workers’ proactivity. Based on survey data collected using the CAWI method from 1000 knowledge workers employed in Polish companies in the business services sector, the research hypotheses proposed in this study were tested using a stepwise equation-modelling (SEM) technique, which resulted in a model containing all the main constructs. The results obtained indicate that inclusive leadership positively relates to the fulfilment of the psychological contract. Furthermore, the fulfilment of the psychological contract positively associates proactive working behavior with the wellbeing of knowledge workers. Along with proactive work behavior, two dimensions of well-being were examined as outcome variables. Our analysis also shows that knowledge-intensive organizations, intending to develop the proactivity of their employees and nurture a high level of well-being in their lives and in the workplace, should ensure that they fulfil the expectations and obligations of the psychological contract. One way to achieve this is for managers to employ an inclusive management style, which supports an atmosphere of a safe working environment in a diverse setting and allows employees to feel comfortable sharing their opinions and ideas. The study of inclusive leadership in the context of knowledge-intensive organizations provides human resource professionals and employee managers with important insights into how inclusive leadership can effectively contribute to the psychological contract, which, consequently, will lead to proactive work behavior and improve employees’ workplace and life-related well-being.
Green Finance, Enterprise Energy Efficiency, and Green Total Factor Productivity: Evidence from China
Authors: Li Hepei , Chen Chen , Umair Muhammad
Published: July 2023

Climate change has become a global issue that requires collective efforts, and green finance policies are an important way to address this problem and promote enterprise development. This paper uses listed company data and city panel data to investigate the utility and mechanisms of the influence of the development of green finance in different cities on the Green Total Factor Productivity (GTFP) of enterprises. The conclusion was that green finance can improve enterprise GTFP, which remained significant after conducting a series of robustness tests. The mechanism analysis showed that green finance can improve enterprise GTFP by promoting energy conservation and emission reduction. The heterogeneity analysis indicated that green finance has a better effect on non-state-owned enterprises, large-scale enterprises, and enterprises with weak financing constraints. This paper enriches the literature that addresses the impact of green finance and the influential factors among GTFP.
Promoting “NEVs Pilot Policy” as an Effective Way for Reducing Urban Transport Carbon Emissions: Empirical Evidence from China
Authors: Wang Jinru , Shi Zhenwu , Liu Jie , Zhang Hongrui
Published: July 2023

To reduce urban transport carbon emissions, the Chinese government issued the NEVs Pilot Policy in 2009 to promote NEVs in both the public and private transport sectors. Using panel data from 53 prefecture-level cities in China spanning from 2006 to 2020, this study evaluates the effectiveness of the NEVs Pilot Policy on urban transport carbon emissions based on the difference-in-differences (DID) model. Additionally, it analyzes the influencing mechanism of this policy, as well as the varying policy effect among heterogeneous cities. The empirical results show that the NEVs Pilot Policy has effectively reduced urban transport emissions by an annual average of 29.3%. Annual per capita emissions were lowered by an average of 0.31 t, and the annual emission intensity was also reduced by an average of 2.04 t per unit GDP. We also found that its dynamic effectiveness has lagged but cumulatively increased over time. Furthermore, the mechanism analysis indicates that the policy effect is mainly achieved by adjusting the vehicle structure (VS) and lowering the energy intensity (EI). The heterogeneity analysis also reveals that the effectiveness of NEVs Pilot Policy varies significantly among different cities. The economic level, the political status, and the urban transport development are found to be the key factors that determine its effectiveness. Based on these findings, this study proposes some targeted policy suggestions to promote NEVs in different cities.
Temperature Prediction Based on STOA-SVR Rolling Adaptive Optimization Model
Authors: Shen Shuaihua , Du Yanxuan , Xu Zhengjie , Qin Xiaoqiang , Chen Jian
Published: July 2023

In this paper, a support vector regression (SVR) adaptive optimization rolling composite model with a sooty tern optimization algorithm (STOA) has been proposed for temperature prediction. Firstly, aiming at the problem that the algorithm tends to fall into the local optimum, the model introduces an adaptive Gauss–Cauchy mutation operator to effectively increase the population diversity and search space and uses the improved algorithm to optimize the key parameters of the SVR model, so that the SVR model can mine the linear and nonlinear information in the data well. Secondly, the rolling prediction is integrated into the SVR prediction model, and the real-time update and self-regulation principles are used to continuously update the prediction, which greatly improves the prediction accuracy. Finally, the optimized STOA-SVR rolling forecast model is used to predict the final temperature. In this study, the global mean temperature data set from 1880 to 2022 is used for empirical analysis, and a comparative experiment is set up to verify the accuracy of the model. The results show that compared with the seasonal autoregressive integrated moving average (SARIMA), feedforward neural network (FNN) and unoptimized STOA-SVR-LSTM, the prediction performance of the proposed model is better, and the root mean square error is reduced by 6.33–29.62%. The mean relative error is reduced by 2.74–47.27%; the goodness of fit increases by 4.67–19.94%. Finally, the global mean temperature is predicted to increase by about 0.4976 °C in the next 20 years, with an increase rate of 3.43%. The model proposed in this paper not only has a good prediction accuracy, but also can provide an effective reference for the development and formulation of meteorological policies in the future.
Factors Influencing International Infrastructure Investment: An Empirical Study from Chinese Investors
Authors: Hu Senchang , Wang Yunhong , Tang Wenzhe
Published: July 2023

International economic cooperation accelerates the flow of capital, technology, labor, and other factors between different countries, which promotes global sustainable development. Building infrastructure construction is an important way to strengthen social development, and absorbing foreign capital is an effective way for developing countries to improve their infrastructure and to promote economic development. This study puts forward the factors that have influenced China’s investment in international engineering projects, and it constructs a panel data regression model for empirical testing. The study shows that, first, international infrastructure investment tends to select countries or regions with good condition of highway infrastructure. Second, international infrastructure investment tends to choose countries or regions with low development level of port and power infrastructure. Third, bilateral diplomatic visits play a significant role in promoting international infrastructure investment. Fourth, international infrastructure investment tends to choose countries or regions with good resource endowment. This study reveals the influencing factors and the mechanisms for the choices of location for China’s investment in international engineering projects, providing a theoretical framework for investors to optimize international infrastructure investment and management, as well as providing the policy references for developing countries to attract international infrastructure investment.
Energy Performance Analysis of Photovoltaic Integrated with Microgrid Data Analysis Using Deep Learning Feature Selection and Classification Techniques
Authors: Qaiyum Sana , Margala Martin , Kshirsagar Pravin R. , Chakrabarti Prasun , Irshad Kashif
Published: July 2023

Microgrids are an essential element of smart grids, which contain distributed renewable energy sources (RESs), energy storage devices, and load control strategies. Models built based on machine learning (ML) and deep learning (DL) offer hope for anticipating consumer demands and energy production from RESs. This study suggests an innovative approach for energy analysis based on the feature extraction and classification of microgrid photovoltaic cell data using deep learning algorithms. The energy optimization of a microgrid was carried out using a photovoltaic energy system with distributed power generation. The data analysis has been carried out for feature analysis and classification using a Gaussian radial Boltzmann with Markov encoder model. Based on microgrid energy optimization and data analysis, an experimental analysis of power analysis, energy efficiency, quality of service (QoS), accuracy, precision, and recall has been conducted. The proposed technique attained power analysis of 88%, energy efficiency of 95%, QoS of 77%, accuracy of 93%, precision of 85%, and recall of 77%.
Seismic Stability Analysis of Tunnel Faces in Heterogeneous and Anisotropic Soils Using Modified Pseudodynamic Method
Authors: Chen Xi , Zhang Kun , Wang Wei
Published: July 2023

This work assesses the seismic stability of tunnel faces advanced in heterogeneous and anisotropic soils based on the plastic limit theorem. A discretized kinematic velocity field respecting the normal flow rule is generated via a point-to-point discretization technique. The distribution of soil parameters in the depth direction including cohesion, friction angle, and unit weight are considered by four kinds of profiles. The variation in cohesion with shear direction caused by consolidation and sedimentation is considered by including an anisotropy coefficient. The seismic acceleration is represented by the modified pseudodynamic method (MPD) rather than the conventional pseudodynamic method (CPD). Based on the energy equilibrium equation, an upper-bound solution is derived. The accuracy and rationality of the proposed procedure are substantiated by comparing with the solutions obtained by conventional log-spiral mechanism and CPD. A parametric study indicates that nonlinear profiles tend to predict a smaller required face pressure than the constant and linear profiles due to the convexity of nonlinear profiles. The over-consolidated soil is more sensitive to the anisotropy coefficient than normally consolidated soil. Moreover, the adverse effect of horizontal seismic acceleration is much greater than that of vertical acceleration, and the resonance effect is more prone to happen, especially for shallow-buried tunnels.
Digitalization in Trail Running: Digital Tools as Sustainable Outdoor Infrastructure
Authors: Czegledi Orsolya , Beaucousin Simon , Caballero-Julià Daniel , Campillo Philippe
Published: July 2023

Studies focusing on the territorial impact of outdoor activities rarely take into account the use of digital tools, such as digital mobile devices and applications. However, these digital tools can serve as sustainable outdoor infrastructure. While digital technology is not universally embraced by trail runners today, consumer studies confirm a growing usage of digital equipment. To provide a concrete example of how digital tools are used and their potential, our study aimed to understand the patterns of digital use among trail runners in France. Through an online questionnaire study (n = 699), we found four main logics of digital use: (1) playful visit, (2) tourist discovery, (3) performance analysis, and (4) social use. Among all forms of use, the most commonly mentioned applications used by respondents during their trail runs were Strava, Garmin, and Suunto. Overall, trail runners demonstrated a high proficiency in digital use, with 95% reporting the use of these applications.
Integrated Operation Centers in Smart Cities: A Humanitarian Engineering Perspective
Authors: Almadani Basem , Aliyu Farouq , Aliyu Abdulrahman
Published: July 2023

The United Nations predicted that 68% of the world’s population will live in urban areas by 2050. Currently, the resources in urban areas are barely enough to cater to the inhabitants’ needs. Scientists believe that automation is the solution. Hence, they believe that Smart Cities could offer a sustainable solution for the increasing rural-to-urban migration because they improve the quality of service by efficiently managing the limited resources the citizens share. However, community laws stipulate when and who governs the cities. These officials are responsible for decision making, which limits the quality of automation and smartness of the city. Integrated Operation Centers (IOCs) help to minimize this limitation. They gather information, process it, and visualize it for the managers. Thus, IOCs enable them to make informed and quick decisions on critical issues. This paper processed 64 conferences and journals on IOCs using the PRISMA method. The systematic literature review investigates the applications of IOCs, and we present a taxonomy for them. Also, we looked at how they impact humanity and environmental sustainability. We found that IOCs help to coordinate automation, disaster response, and security. They also help to conserve natural resources. Finally, we uncover some challenges of implementing IOCs and possible research directions.
On Gaussian Leonardo Hybrid Polynomials
Authors: Yaǧmur Tülay
Published: July 2023

In the present paper, we first study the Gaussian Leonardo numbers and Gaussian Leonardo hybrid numbers. We give some new results for the Gaussian Leonardo numbers, including relations with the Gaussian Fibonacci and Gaussian Lucas numbers, and also give some new results for the Gaussian Leonardo hybrid numbers, including relations with the Gaussian Fibonacci and Gaussian Lucas hybrid numbers. For the proofs, we use the symmetric and antisymmetric properties of the Fibonacci and Lucas numbers. Then, we introduce the Gaussian Leonardo polynomials, which can be considered as a generalization of the Gaussian Leonardo numbers. After that, we introduce the Gaussian Leonardo hybrid polynomials, using the Gaussian Leonardo polynomials as coefficients instead of real numbers in hybrid numbers. Moreover, we obtain the recurrence relations, generating functions, Binet-like formulas, Vajda-like identities, Catalan-like identities, Cassini-like identities, and d’Ocagne-like identities for the Gaussian Leonardo polynomials and hybrid polynomials, respectively.
High-Capacity Reversible Data Hiding in Encrypted Images Based on 2D-HS Chaotic System and Full Bit-Plane Searching
Authors: Ge Bin , Ge Guoqing , Xia Chenxing , Duan Xiuzhen
Published: July 2023

Using the local correlation of carrier images to embed secret data in MSBs is a popular scheme for reversible data hiding in encrypted images (RDHEI). However, most existing methods based on this scheme face challenges in achieving complete compression while ensuring security. In this study, an RDHEI method that uses a two-dimensional chaotic system and full bit-plane search (FBPS) is proposed. Specifically, the content owner provides cover images and employs a chaotic system to generate chaotic sequences for inter-block non-symmetrical permutation and intra-block diffusion. The special encryption method, combined with chaos, not only preserves the correlation of pixels within a block but also ensures an extremely high level of security. The FBPS technique is applied to detect all smooth bit planes, not limited to continuous MSBs. For data embedding, ‘0’ and ‘1’ are used to record all smooth and rough bit planes to achieve thorough compression. The results of the experiment show that our proposed method provides a high level of security and achieves 2.142 bit/pixel and 2.339 bit/pixel on the typical datasets BOSSbase (Break Our Steganographic System) and BOWS-2 (Break Our Watermarking System 2nd). Compared with the state-of-the-art methods, the embedding capacity has also been significantly improved.
A Cancelable Biometric System Based on Deep Style Transfer and Symmetry Check for Double-Phase User Authentication
Authors: Sedik Ahmed , El-Latif Ahmed A. Abd , El-Affendi Mohammed , Mostafa Hala
Published: July 2023

In recent times, there has been a noticeable increase in the application of human biometrics for user authentication in various domains, such as online banking. However, the use of biometric systems poses security risks and the potential for misuse, primarily due to the storage of original templates in databases. To tackle this issue, the concept of cancelable biometrics has emerged as a reliable method utilizing one-way encryption. Several algorithms have been developed to implement cancelable biometrics, incorporating visual representations of single or multiple biometrics. This research proposes a cancelable biometric system that utilizes deep learning techniques to generate two encrypted modalities, namely text and image, using facial and fingerprint biometrics acquired from a smartphone. The system consists of two main stages: a visual encoder and a text encoder. The visual encoder converts the fingerprint style into a facial representation, creating a cancelable template to ensure the potential for cancelation. The resulting visual template is then processed by the text encoder, which employs hashing techniques to generate a corresponding text template. User authentication is automatically verified by utilizing the generated templates through Siamese networks.
A New Xgamma–Weibull Model Using Type-II Adaptive Progressive Hybrid Censoring and Its Applications in Engineering and Medicine
Authors: Mohammed Heba S. , Nassar Mazen , Elshahhat Ahmed
Published: July 2023

This paper is an attempt to study the Xgamma–Weibull distribution using an adaptive progressive type-II censoring plan. This scheme effectively ensures that the experimental time does not exceed a predetermined time limit. Using two classical estimation methods—namely, maximum likelihood and maximum product of spacing—both point and interval estimations for the unknown model parameters, as well as some parameters of life—namely, reliability and hazard rate functions—were obtained. The asymptotic normality of both classical methods was used to determine the approximate confidence intervals for the various parameters. Based on the two conventional methodologies, Bayesian estimations were also investigated using the MCMC technique under the squared error loss function. In addition, the credible intervals of the different parameters were also obtained. To compare the performance of the various approaches, a thorough simulation study was carried out. Furthermore, we propose using several optimality criteria to select the best sampling technique. Finally, two real-world datasets were used to demonstrate how the suggested estimators and optimality criteria operate in real-world circumstances.
Multi-Strategy Discrete Teaching–Learning-Based Optimization Algorithm to Solve No-Wait Flow-Shop-Scheduling Problem
Authors: Li Jun , Guo Xinxin , Zhang Qiwen
Published: July 2023

To address the problems of the single evolutionary approach, decreasing diversity, inhomogeneity, and meaningfulness in the destruction process when the teaching–learning-based optimization (TLBO) algorithm solves the no-wait flow-shop-scheduling problem, the multi-strategy discrete teaching–learning-based optimization algorithm (MSDTLBO) is introduced. Considering the differences between individuals, the algorithm is redefined from the student’s point of view, giving the basic integer sequence encoding. To address the fact that the algorithm is prone to falling into local optimum and to leading to a reduction in search accuracy, the population was divided into three groups according to the learning ability of the individuals, and different teaching strategies were adopted to achieve the effect of teaching according to their needs. To improve the destruction-and-reconstruction process with symmetry, an iterative greedy algorithm of destruction–reconstruction was used as the main body, and a knowledge base was used to control the number of meaningless artifacts to be destroyed and to dynamically change the artifact-selection method in the destruction process. Finally, the algorithm was applied to the no-wait flow-shop-scheduling problem (NWFSP) to test its practical application value. After comparing twenty-one benchmark test functions with six algorithms, the experimental results showed that the algorithm has a certain effectiveness in solving NWFSP.
A Theory of Heterogeneous City Evolution with Heterogenous Agents
Authors: Jung Jaewon
Published: July 2023

This paper develops a new unified theoretical general equilibrium model in which the interactions between heterogeneous workers and firms influence heterogeneous city evolutions. Given the heterogeneous worker–firm–city framework, I study in depth the possible heterogenous city evolutions and the resulting implications on the labor market, as well as on overall productivity. In particular, it is shown that the same exogenous shocks may lead to completely different results depending on the relative dominance of the two countervailing effects of congestion and agglomeration. In an open economy setting, it is also shown that such relative dominance may affect the trading partner and generate the comovement of city evolution in each country.
Towards Understanding the Causal Relationships in Proliferating SD Education—A System Dynamics Group Modelling Approach in China
Authors: Yan Haiyan , Wang Linlin , Goh Jenson , Shen Wuzhi , Richardson John , Yan Xinyue
Published: July 2023

Given the growing importance of system dynamics (SD) in solving increasingly complex and dynamic problems in any country, we believe SD education will become an imperative leverage point in helping us deal with our uncertain future. This study tries to understand the causal relationships in proliferating SD education by a system dynamics group modelling approach in China. Based on a questionnaire survey and a group model building (GMB) workshop, we aim to explore the interactions of feedback loops in the constructed causal loop diagram (CLD). This uncovers insights into what constitutes the growth of SD education in China and helps to guide the design and implementation of policies to achieve this growth. We conclude that it is important and relevant to find ways to improve, including the construction of an SD teaching platform to integrate normative resources, providing opportunities for teacher training, enhancing the availability and accessibility of SD education, and building networks with international partners. The results of our study may set the foundation for further research to extend the generalizability of our insights and methodological approaches to other countries.
Legionnaires’ Disease in Occupational Settings: A Cross-Sectional Study from Northeastern Italy (2019)
Authors: Riccò Matteo , Ferraro Pietro , Ranzieri Silvia , Boldini Giorgia , Zanella Ilaria , Marchesi Federico
Published: July 2023

In Italy, Legionnaires’ Disease (LD) causes >1000 hospital admissions per year, with a lethality rate of 5 to 10%. Occupational exposures could reasonably explain a substantial share of total cases, but the role of Occupational Physicians (OPs) in management and prevention of LD has been scarcely investigated. The present survey therefore evaluates the knowledge, attitudes and practices (KAP) regarding LD from a convenience sample of Italian OPs, focusing on their participation in preventive interventions. A total of 165 OPs were recruited through a training event (Parma, Northeastern Italy, 2019), and completed a specifically designed structured questionnaire. The association between reported participation in preventive interventions and individual factors was analyzed using a binary logistic regression model, calculating corresponding multivariable Odds Ratio (aOR). Overall, participants exhibited satisfactory knowledge of the clinical and diagnostic aspects of LD, while substantial uncertainties were associated epidemiological factors (i.e., notification rate and lethality). Although the majority of participating OPs reportedly assisted at least one hospital (26.7%) and/or a nursing home (42.4%) and/or a wastewater treatment plant, only 41.8% reportedly contributed to the risk assessment for LD and 18.8% promoted specifically designed preventive measures. Working as OPs in nursing homes (aOR 8.732; 95% Confidence Intervals [95%CI] 2.991 to 25.487) and wastewater treatment plants (aOR 8.710; 95%CI 2.844 to 26.668) was associated with participation in the risk assessment for LD, while the promotion of preventive practice was associated with working as an OP in hospitals (aOR 6.792; 95%CI 2.026 to 22.764) and wastewater treatment plants (aOR 4.464, 95%CI 1.363 to 14.619). In other words, the effective participation of the OP in the implementation of preventive measures appears uncommon and is limited to certain occupational settings. Collectively, these results highlight the importance of tailoring specifically designed information campaigns aimed to raise the involvement of OPs in the prevention of LD in occupational settings other than healthcare.
Chikungunya Virus Diagnosis: A Review of Current Antigen Detection Methods
Authors: Simo Fredy Brice Nemg , Burt Felicity Jane , Makoah Nigel Aminake
Published: July 2023

Chikungunya is a mosquito-borne viral disease caused by the chikungunya virus (CHIKV). CHIKV is expanding at an alarming rate, potentially spreading and establishing endemicity in new areas where competent vectors are present. The dramatic spread of CHIKV in recent years highlights the urgent need to take precautionary measures and investigate options for control. It is crucial in developing nations where diagnostic tools are limited, and symptoms are similar to other prevalent diseases such as malaria and dengue. The most reliable method for diagnosing chikungunya virus is viral gene detection by RT-PCR. Alternative methods like detecting human antibody and viral antigen can also be used, especially in areas where resources are limited. In this review, we summarize the limited data on antigen detection immunoassays. We further explain the essential structural elements of the virus to help comprehend the scientific concepts underlying the testing methods, as well as future methods and diagnostic approaches under investigation.
Charged Particle Pseudorapidity Distributions Measured with the STAR EPD
Authors: Molnár Mátyás
Published: July 2023

In 2018, in preparation for the Beam Energy Scan II, the STAR detector was upgraded with the Event Plane Detector (EPD). The instrument enhanced STAR’s capabilities in centrality determination for fluctuation measurements, event plane resolution for flow measurements, and in triggering overall. Due to its fine radial granularity, it can also be utilized to measure pseudorapidity distributions of the produced charged primary particles, in EPD’s pseudorapidity coverage of 2.15<|η|<5.09. As such a measurement cannot be done directly, the response of the detector to the primary particles has to be understood well. The detector response matrix was determined via Monte Carlo simulations, and corrected charged particle pseudorapidity distributions were obtained in Au + Au collisions at the center of mass collision energies sNN = 19.6 and 27.0 GeV using an iterative unfolding procedure. Several systematic checks of the method were also done.
High-Throughput Sequencing of Grapevine in Mexico Reveals a High Incidence of Viruses including a New Member of the Genus Enamovirus
Authors: Diaz-Lara Alfredo , Stevens Kristian , Aguilar-Molina Vivian Hayde , Fernández-Cortés José Miguel , Chabacano León Víctor Manuel , De Donato Marcos , Sharma Ashutosh , Erickson Teresa M. , Al Rwahnih Maher
Published: July 2023

This is the first viral metagenomic analysis of grapevine conducted in Mexico. During the summer of 2021, 48 plants displaying virus-like symptoms were sampled in Queretaro, an important grapevine-producing area of Mexico, and analyzed for the presence of viruses via high-throughput sequencing (HTS). The results of HTS were verified by real-time RT-PCR following a standardized testing scheme (Protocol 2010). Fourteen different viruses were identified, including grapevine asteroid mosaic-associated virus (GAMaV), grapevine Cabernet Sauvignon reovirus (GCSV), grapevine fanleaf virus (GFLV), grapevine fleck virus (GFkV), grapevine Pinot gris virus (GPGV), grapevine red globe virus (GRGV), grapevine rupestris stem pitting-associated virus (GRSPaV), grapevine rupestris vein feathering virus (GRVFV), grapevine Syrah virus 1 (GSyV-1), grapevine virus B (GVB), and grapevine leafroll-associated viruses 1, 2, 3, 4 (GLRaV1, 2, 3, 4). Additionally, divergent variants of GLRaV4 and GFkV, and a novel Enamovirus-like virus were discovered. This is the first report of GAMaV, GCSV, GLRaV4, GPGV, GRGV, GRVFV, and GSyV-1 infecting grapevines in Mexico; the impact of these pathogens on production is unknown.
Antiviral Activity of an Indole-Type Compound Derived from Natural Products, Identified by Virtual Screening by Interaction on Dengue Virus NS5 Protein
Authors: García-Ariza Leidy Lorena , González-Rivillas Natalia , Díaz-Aguirre Cindy Johanna , Rocha-Roa Cristian , Padilla-Sanabria Leonardo , Castaño-Osorio Jhon Carlos
Published: July 2023

Dengue is an acute febrile illness caused by the Dengue virus (DENV), with a high number of cases worldwide. There is no available treatment that directly affects the virus or the viral cycle. The objective of this study was to identify a compound derived from natural products that interacts with the NS5 protein of the dengue virus through virtual screening and evaluate its in vitro antiviral effect on DENV-2. Molecular docking was performed on NS5 using AutoDock Vina software, and compounds with physicochemical and pharmacological properties of interest were selected. The preliminary antiviral effect was evaluated by the expression of the NS1 protein. The effect on viral genome replication and/or translation was determined by NS5 production using DENV-2 Huh-7 replicon through ELISA and viral RNA quantification using RT-qPCR. The in silico strategy proved effective in finding a compound (M78) with an indole-like structure and with an effect on the replication cycle of DENV-2. Treatment at 50 µM reduced the expression of the NS5 protein by 70% and decreased viral RNA by 1.7 times. M78 is involved in the replication and/or translation of the viral genome.
Implementation Strategies Used to Increase Human Papillomavirus Vaccination Uptake by Adolescent Girls in Sub-Saharan Africa: A Scoping Review
Authors: Lubeya Mwansa Ketty , Mwanahamuntu Mulindi , Chibwesha Carla J. , Mukosha Moses , Monde Mercy Wamunyima , Kawonga Mary
Published: July 2023

Barriers to successful implementation of the human papillomavirus vaccination exist. However, there is limited evidence on implementation strategies in sub-Saharan Africa (SSA). Therefore, this scoping review aimed to identify implementation strategies used in SSA to increase HPV vaccination uptake for adolescent girls. This scoping review was guided by Joanna Briggs Institute guidelines for scoping reviews and an a priori protocol and reported based on the Preferred Reporting Items for Systematic Reviews and Metanalysis for Scoping Reviews (PRISMA-ScR). We searched PubMed, EMBASE, CINAHL, Scopus, Google Scholar, and gray literature. Two independent reviewers screened article titles and abstracts for possible inclusion, reviewed the full text, and extracted data from eligible articles using a structured data charting table. We identified strategies as specified in the Expert Recommendation for Implementing Change (ERIC) and reported their importance and feasibility. We retrieved 246 articles, included 28 of these, and identified 63 of the 73 ERIC implementation strategies with 667 individual uses, most of which were highly important and feasible. The most frequently used discrete strategies included the following: Build a coalition and change service sites 86% (24/28), distribute educational materials and conduct educational meetings 82% (23/28), develop educational materials, use mass media, involve patients/relatives and families, promote network weaving and stage implementation scale up 79% (22/28), as well as access new funding, promote adaptability, and tailor strategies 75% (21/28). This scoping review shows that implementation strategies of high feasibility and importance were frequently used, suggesting that some strategies may be cross-cutting, but should be contextualized when planned for use in any region.
Response of Upstream Behavior and Hydrodynamic Factors of Anguilla Japonica in a Combined Bulkhead Fishway under Tidal Conditions
Authors: Ye Zhou , Lian Xin , Bai Fuqing , Hao Di , Li Dongfeng , Fang Zhihao
Published: July 2023

Frequent changes in the tide levels in estuaries cause constant changes in the hydraulics of fish passage systems, with important effects on successful fish passage and swimming behavior. In most cases, Japanese eels often have low passage rates in engineered fishways because of their special habits. In this study, we established a 1:4 scaled-down weir-hole combination bulkhead fishway, studied the effects of different tidal differences and water depths on the passage rates and swimming behavior of yellow-phase Japanese eels, and analyzed the response of the Japanese eels to the hydraulic factors by superimposing their swimming trajectories and the flow field simulation results. We found that the passage rate of the eels decreased from 68.18% to 50.00% and 45.45% under extreme high tide differences and extreme low tide differences, respectively. The eels tended to use the low-velocity area to climb up the wall, and when crossing the mainstream, the yellow-phase Japanese eels preferred the area with a flow velocity of 0.1~0.36 m/s and a turbulent kinetic energy range of 0.001~0.007 m2/s2. Their upstream swimming speed was maintained at a range of 0.1~0.3 m/s.
The transfer of ownership rights on villages in the Ruza district of Moscow province belonging to private persons in the XVI – XVIII centuries
Authors:   Economic Theory and Management Department State University of Land Use Planning, Moscow, Krasovskiy A.P.
Published: July 2023

This article presents the results of the study investigated the circumstances of the transfer of ownership rights to privately owned villages located in the XVI – XVIII centuries on the territory of Ruza district, Moscow province. These circumstances were identified, classified and systematized, after which the trends of their changes that occurred during the period under consideration were determined. It is shown that during the XVI – XVIII centuries 68% of the settlements and land plots owned by private individuals remained in the possession of the families that owned them at the beginning of the analyzed period, in 8% of cases, they were transferred for free of charge, and in 24% of cases, this property was involved in business circulation
Calidad en la gestión de proyectos en las instituciones educativas
Authors: Hernandez Hector Andres , Echeverri-Buitrago Fernando , Parra-Burbano Alexander , Salas-Tosne Deyby Sebastián
Published: July 2023

La educación como derecho fundamental, inscribe procesos a través de su historia. De acuerdo a estos procesos, el ser humano ha desarrollado competencias para la vida y para la sociedad, logrando paz e igualdad entre el mismo, el otro y lo otro. Es por tal motivo que, se identifica la importancia de la calidad en la gerencia de proyectos en instituciones educativas en especial de la básica primaria, básica secundaria y media técnica. Así mismo, desde los procesos en la dirección de proyectos, las diferentes áreas de conocimiento y sus grupos de procesos como la ejecución, seguimiento y control de los objetivos estratégicos propuestos por cada institución educativa.

Las instituciones educativas materializan sus propuestas formadoras y de impacto a la sociedad a través de la ejecución de sus proyectos educativos institucionales. Cada componente del proyecto gestiona aspectos esenciales que van desde lo académico, lo formativo, y lo administrativo hasta llegar a lograr estilos de vida no sólo de sus estudiantes, sino también de sus familias, lo que posibilita de alguna manera la transformación de sus entornos. Sin embrago, la herramienta metodológica utilizada para la gestión de estos proyectos se realiza desde una visión muy académica, en la mayoría de los casos. Lo cual deja abierta la posibilidad de indagar y experimentar la aplicación de metodologías más sistemáticas en la gerencia de proyectos, desde las teorías empresariales, ajustando y guardando las distancias, a los procesos de planeación, ejecución, seguimiento y control de los proyectos educativos institucionales.

El presente articulo tiene como propósito realizar una revisión de la forma como funcionan los proyectos educativos institucionales, en sus diferentes dimensiones y elementos, así como en el rol que desempeñan los directores o directivos, quienes son los encargados de la planeación y ejecución de los procesos y actividades que cada año se deben llevar a cabo para alcanzar los objetivos fundamentales de las instituciones educativas y cómo desde las lecciones aprendidas, implementan mejores estrategias para prestar un servicio educativo de calidad.

En este sentido, este artículo presenta una perspectiva Mixta, una investigación documental haciendo una revisión bibliográfica para identificar los elementos fundamentales que permitan conocer y avaluar el impacto de la gerencia de proyectos en las instituciones educativas. Además, involucra diferentes actores claves en el desarrollo de estrategias que puedan ser aplicadas en los proyectos educativos institucionales.
Análisis conceptual del comercio exterior en México
Authors: Martínez-Prats Germán
Published: July 2023

El comercio es parte esencial para el desarrollo económico tanto local, nacional al igual que de manera global a través de el se realiza el intercambio de bienes y servicios entre diferentes actores. Es una parte integral de la economía global y desempeña un papel crucial en el desarrollo económico de los países. el comercio también presenta desafíos y problemas, como desequilibrios comerciales, competencia desleal, barreras comerciales, impactos ambientales y sociales, entre otros. Es por eso que muchos países negocian acuerdos comerciales y establecen regulaciones para facilitar el comercio justo y equitativo. Por ello se realiza la presente investigación para conocer como desarrolla el comercio exterior dentro de México y el impacto que este genera en su economía, esto se llevara a cabo a través de una metodología descriptiva con la cual se busca tener un acercamiento más adecuado entorno al objetivo del presente trabajo que es poder analizar el comercio exterior entorno a México, donde se pudo concluir que en México es un país importante dentro del entorno de comercio exterior tanto en sus importaciones como exportaciones, teniendo una económica eficiente y global.
Strategi Promosi Pariwisata: Studi Atas Marketing Public Relation Pantai Ngebum Kendal
Authors: Syaifudin Ahmad Anif
Published: July 2023

Industri pariwisata pempunyai kontribusi besar dalam membangun perekonomian Daerah maupun Nasional. Pariwisata yang dikelola oleh Pemerintah Daerah maupun Swasta juga berkontribusi terhadap Pendapatan Asli Daerah (PAD). Kabupaten Kendal merupakan salah satu daerah di Jawa Tengah yang memiliki aneka ragam pariwisata. Salah satu objek wisata yang menjadi unggulan adalah pariwisata Pantai Ngebum. Fokus dalam penelitian ini adalah untuk mengetahui bagaimana strategi marketing public relations yang dijalankan oleh BUMDes Moro Bekah sebagai Lembaga Pengelola Pantai Ngebum dalam meningkatkan pengunjung ditengah-tengah persaingan destinasi wisata yang semakin massif. Penelitian ini menggunakan metode penelitian deskriptif kualitatif dengan strategi pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Untuk mempertajam analisis, maka dalam penelitian ini menggunakan pendekatan Marketing Public Relations (MPR) Kotler & Keller. Terdapat beberapa temuan strategi marketing public relations sebagai hasil dari penelitian ini yaitu diseleggarakannya beberapa events yang sifatnya rutin maupun memperingati momen tertentu, publication, news, dan public service activity. Sedangkan untuk sponsorship, speeches dan identity media masih sangat terbatas eksekusinya sehingga perlu dimaksimalkan sebagai komponen strategi promosi.
STRATEGI KOMUNIKASI DAKWAH HUSAIN BASYAIBAN MELALUI MEDIA SOSIAL TIKTOK @BASYASMAN00
Authors: Adra'i Nafis Putri
Published: July 2023

AbstractDa'wah Communication Strategy is an overall approach related to the implementation of ideas or ideas, planning and implementing a da'wah activity with the aim of conveying messages that originate from or are in accordance with the teachings of the Al-Qur'an and Sunnah, and so that other people can do good deeds according to  with the messages conveyed.  The current presence of TikTok with the second largest monthly active users after the United States is used by da'wah activists as a medium to spread da'wah to the public as Husain Basyaiban, the owner of the account @basyasman00, also uses.  This TikTok account is an account devoted to spreading da'wah by uploading videos about Islamic teachings, prohibitions and facts that are later associated with Islamic law.  The researcher raises the following issues: 1. How is the da'wah communication strategy carried out by Husain Basyaiban on social media TikTok to the audience or mad'u through his account @basyasman00?  2. Related da'wah messages conveyed by Husain Basyaiban on his TikTok social media @basyasman00 in one of the contents.  In this study the researchers raised 2 strategies, 1. Recitation strategy, which is the transfer of da'wah messages verbally and in writing.  In this recitation strategy, the author takes the example of the content "Pinjol and Paylater Lovers" in the delivery of the message, it can be concluded that debt is a very extraordinary matter, debt is allowed, only debt is owed when it is really tight and to meet needs, not lifestyle.  2. Tazkiyah strategy, this strategy is carried out so that individual changes occur.  In this Tazkiyah strategy, the author takes as an example the content "Law in Islam, fixing prayer rugs with feet" can be concluded that fixing prayer rugs with feet goes into the chapter on adab and fixing prayer rugs with feet on or off depends on which perspective the audience takes. Keywords  Propaganda Strategy, TikTok, Husain Basyaiban