bluuebunny/crossref_metadata_2025 huggingface dataset:
A Community-Oriented Accessibility Index of Public Health Service Facilities: A Case Study of Wuchang District, Wuhan, China
Authors: Xu Hong , Zhao Jin , Yu Xincan
Published: July 2023

Public health service facilities are the fundamental component of urban medical and health services, and they are critical for realizing urban residents’ enjoyment of equitable and convenient medical services in sustainable smart cities. Spatial accessibility is an important indicator for evaluating the rationality of the layout of medical facilities from the perspective of sustainability. This study introduces a community-oriented accessibility (CA) index of public health service facilities, which considers a weighted average time model and the 15 min living circle standard for constraint, and even the service capacity of medical facilities. This study uses the proposed index to investigate the spatial accessibility of public health service facilities in the study area of Wuchang, Wuhan, China. Compared with the E2SFCA model, the proposed CA model joins the construction concept of an urban living circle, which is consistent with the domestic urban construction goals. The main findings include the following: (1) The community-oriented accessibility index of public health service facilities in the study area showed a gradual decline in the middle to sides under the walking mode and a high index in the north and low index in the south under the vehicle travel mode. (2) The calculated CA accessibility results are quite different between the walking and vehicular modes, and they are mainly affected by the allocation of the number of facilities and the distribution of the population. (3) Compared to the previous method, the calculated CA index results are more reflective of the actual situation and could be useful in guiding the spatial layout of the facilities more finely. This research explores the sustainable utilization of land resources in the planning of medical facilities and promotes the healthy and sustainable development of cities. In future studies, the population’s actual traffic conditions, weather, and holidays will be considered to further research on the accessibility of different groups and the specific impact of these factors on accessibility so as to promote people-friendly accessibility for sustainable smart cities.
Spatial Heterogeneity and Formation Mechanism of Eco-Environmental Quality in the Yellow River Basin
Authors: Bai Xue , Zhang Zhongwu , Li Zhe , Zhang Jinyuan
Published: July 2023

The Yellow River Basin (YRB) serves as a crucial ecological security barrier in China, and the scientific evaluation and understanding of the formation mechanisms of ecological environment quality (EEQ) in the YRB are of great importance for implementing dynamic regional ecosystem planning and protection. Therefore, this study aims to explore the spatiotemporal evolution characteristics and formation mechanisms of the EEQ in the YRB from 2000 to 2020, based on land use remote sensing monitoring data, utilizing research methods such as the ecological environment quality index, centroid analysis, and the geographic detector. The results are as follows: From 2000 to 2020, the overall EEQ in the YRB showed a slight increasing trend, with a significant growth trend in the upstream and middle reaches, and a decreasing trend in the downstream. The spatial heterogeneity of the EEQ in the YRB was significant, with a south—high and north—low distribution pattern overall. During the study period, the spatial distribution pattern of the EEQ was relatively stable, with a notable increase in EEQ in the northwest of the YRB. The EEQ in the study area was jointly affected by natural and socio-economic factors, with precipitation, terrain fluctuation, and temperature being the dominant factors. The upstream EEQ was most affected by temperature, the EEQ of the middle reaches was most affected by precipitation, and the downstream EEQ was more vulnerable to the interference of slope and topographic relief. The influencing factors had a synergistic effect on the EEQ, and the explanatory power of socio-economic factors for a single-factor explanation of the EEQ was relatively low, but the explanatory power of the interaction between natural and socio-economic factors was significantly enhanced. These results can provide valuable insights for guiding and informing policy-making decisions related to ecological protection in the YRB.
New Hybrid MPPT Technique Including Artificial Intelligence and Traditional Techniques for Extracting the Global Maximum Power from Partially Shaded PV Systems
Authors: Masry Mohamed Zaghloul-El , Mohammed Abdallah , Amer Fathy , Mubarak Roaa
Published: July 2023

This research aimed to increase the power captured from photovoltaic (PV) systems by continuously adjusting the PV systems to work at the maximum power point under climate changes such as solar irradiance change and temperature change and by tracking the global maximum power under partial shading conditions (PSCs). Under the effect of partial shading (PS), the PV curve has many local maximum peaks (LMPs) and one global maximum peak (GMP) which is dynamic because it changes with time when the shading pattern (SP) changes. The traditional maximum power point tracking (MPPT) methods are unable to track the Dynamic GMP and may fall into one of the LMPs. Many modern MPPT methods have been introduced that can track the Dynamic GMP, but their effectiveness can be improved. In this respect, this work introduces a new optimal MPPT technique to enhance the performance of the maximum power point tracking of solar cells under environmental changes and partial shading conditions. The proposed technique combines three well-known and important MPPT techniques, which are the Artificial Neural Network (ANN), Variable Step Perturb and Observe (VSP&O), and Fuzzy Logic Controller (FLC). Artificial Neural Network gives a voltage near the optimum voltage, Variable Step Perturb and Observe updates the voltage to get close to the optimum voltage, and Fuzzy Logic Controller updates the step size of the (P&O) technique. The proposed hybrid ANN-VSP&O-FLC technique showed its ability to track the Dynamic GMP accurately and quickly under the variation in the shading patterns with time and its ability to follow maximum power efficiently and quickly under climate changes. The proposed hybrid ANN-VSP&O-FLC technique also showed very low distortions in waveforms and very low oscillations around the steady state. The proposed hybrid ANN-VSP&O-FLC technique was compared to the most recent and effective MPPT techniques in terms of steady-state behavior, tracking speed, tracking efficiency, and distortions in waveforms, and the comparison showed that it is superior to them, with lower distortions in waveforms, a faster tracking speed (less than 0.1 s), higher tracking efficiency (greater than 99.65%), and lower oscillations around the steady state (less than 2 Watts).
How Has Online Digital Technology Influenced the On-Site Visitation Behavior of Tourists during the COVID-19 Pandemic? A Case Study of Online Digital Art Exhibitions in China
Authors: Xia Yanqing
Published: July 2023

The COVID-19 pandemic has had a significant impact on the global tourism industry, leading to a decrease in peoples’ willingness to travel and a sense of insecurity regarding tourist destinations. Therefore, restoring people’s willingness to travel is the greatest challenge faced by this industry in the post-pandemic era. The tourism industry requires innovative solutions to achieve sustainable recovery. While there is a considerable amount of research on its recovery during the pandemic, there are few studies exploring people’s willingness to travel to encourage sustainable and resilient recovery in the post-pandemic era. This study employed a quality model to examine the satisfaction and intention of tourists towards the application of online digital art exhibitions under the influence of COVID-19. The aim was to investigate the promoting role of online digital art exhibitions in the sustainability and resilient recovery of the tourism industry. To achieve these objectives, this study focuses on the online digital art exhibition of Song Dynasty figure paintings launched by China Central Television (CCTV), with post-exhibition surveys conducted and 512 valid questionnaires collected. The research model and hypotheses are tested using structural equation modeling. The results of this study indicate that travelers’ intentions to engage in on-site visits through online digital exhibitions are determined by three factors: perceived value, satisfaction, and art therapy. Furthermore, online digital art exhibitions not only represented the most important form of tourism during the pandemic, but they also provided significant psychological healing. They have become a driving force for the transformation of the current culture and tourism industry and the promotion of its sustainable development. This research provides a benchmark for future research on the tourism industry, and it offers new research directions in the field of sustainable tourism.
Positive Welfare Indicators and Their Association with Sustainable Management Systems in Poultry
Authors: Papageorgiou Maria , Goliomytis Michael , Tzamaloukas Ouranios , Miltiadou Despoina , Simitzis Panagiotis
Published: July 2023

Animal welfare is a key and distinct component of sustainable agriculture and food security. People, both as citizens and consumers, have become more concerned about the husbandry of livestock species. Positive welfare goes a step further than the common welfare approach, supporting that a good life for animals is not only the alleviation of negative aspects, but also the promotion of positive affectivities. So, a sustainable management system for any livestock species should promote positive aspects in the lives of animals. Poultry is one of the species whose welfare is most impaired, and numerous concerns are raised by society. For all the above, we reviewed the positive welfare indicators that have been studied in livestock poultry and that can be used to promote positive effects and assess welfare for the most common species, i.e., broilers, laying hens, turkeys, ducks, geese, quails and ostriches. We analyzed the results categorized by species, discussed the connection of the indicators with sustainable management, and made proposals for future studies. Exploration and dustbathing have been extensively studied and seem most promising, especially in broilers and laying hens, followed by nesting and perching, and swimming for waterfowl. Qualitative behavioral assessment (QBA) is already applied in protocols for broilers and laying hens, but the results are not as promising due to the homogeneity of the flock and the difficulty in observations. Play has been studied mostly in broilers but is a behavior difficult to recognize and needs further understanding. The results are limited for all species, except broilers and laying hens.
Day-Ahead and Intra-Day Optimal Scheduling Considering Wind Power Forecasting Errors
Authors: Liu Dagui , Wang Weiqing , Zhang Huie , Shi Wei , Bai Caiqing , Zhang Huimin
Published: July 2023

The aim of this paper is to address the challenges regarding the safety and economics of power system operation after the integration of a high proportion of wind power. In response to the limitations of the literature, which often fails to simultaneously consider both aspects, we propose a solution based on a stochastic optimization scheduling model. Firstly, we consider the uncertainty of day-ahead wind power forecasting errors and establish a multi-scenario day-ahead stochastic optimization scheduling model. By balancing the reserve capacity and economic efficiency in the optimization scheduling, we obtain optimized unit combinations that are applicable to various scenarios. Secondly, we account for the auxiliary service constraints of thermal power units participating in deep peak shaving, and develop an intra-day dynamic economic dispatch model. Through the inclusion of thermal power units and energy storage units in the optimization scheduling, the accommodation capacity of wind power is further enhanced. Lastly, in the electricity market environment, increasing wind power capacity can increase the profits of thermal power peak shaving. However, we observe a trend of initially increasing and subsequently decreasing wind power profits as the wind power capacity increases. Considering system flexibility and the curtailed wind power rate, it is advisable to moderately install grid-connected wind power capacity within the power system. In conclusion, our study demonstrates the effectiveness of the proposed scheduling model in managing day-ahead uncertainty and enhancing the accommodation of wind power.
Construction Contractors’ Carbon Emissions Reduction Intention: A Study Based on Structural Equation Model
Authors: Jiang Junling , He Zhaoxin , Ke Changren
Published: July 2023

The high carbon emissions of the construction industry affect China’s sustainable development. Therefore, reducing the carbon emissions of the construction industry is crucial for China to achieve “carbon peak” by 2030 and “carbon neutrality” by 2060. To understand the factors that affect contractors’ willingness to reduce carbon emissions. This study is based on the Theory of Planned Behavior (TPB) and incorporates three potential influencing factors: personal norms (PN), government regulation (GR), and policy support (PS). It constructs a structural equation model (SEM) to predict the influencing factors of carbon emission reduction intentions (CERI) among construction contractors. This study analyzes the key factors and mechanisms influencing construction contractors’ CERI. The study collected 311 valid questionnaires, which are suitable for SEM research, and the results indicate that: The results show that the model proposed in the study has an explanatory rate of 69% for developers’ willingness to reduce carbon emissions. The most significant influencing factor on construction contractors’ CERI is GR, followed by PS, subjective norms (SN), and perceived behavioral control (PBC). PN and behavioral attitude (BA) towards behavior do not significantly impact CERI. SN mediate the relationship between GR and CERI, while PBC mediates the relationship between PS and CERI. The research findings can guide the government and construction contractors to improve carbon emission reduction governance mechanisms and achieve peak carbon emissions and carbon neutrality.
Data-Driven Transformation: The Role of Ambidexterity and Analytics Capability in Building Dynamic and Sustainable Supply Chains
Authors: Munir Muhammad Adeel , Hussain Amjad , Farooq Muhammad , Habib Muhammad Salman , Shahzad Muhammad Faisal
Published: July 2023

Data-driven supply chain analytics skills are seen as the next frontier of the supply chain transformation. The potential of data analytics-enabled dynamic capability for improving organizational performance and agility has been investigated in past research. However, there has not been sufficient research on the potential benefits of the data analytics capability and supply chain ambidexterity paradox to develop a sustainable and agile supply chain that can integrate and reorganize all of its resources in order to respond to rapidly changing business circumstances. This study aimed to empirically validate how an organization’s SC ambidexterity affects its sustainability and dynamic capability, and the mediating role of supply chain analytics capability (SCAC) in their relationship. The research’s theoretical framework is founded on dynamic capability theory. A pretested questionnaire was used to collect responses from 427 supply chain specialists who worked in diverse product-based industries across Pakistan, Bangladesh, and India. Using partial least squares structural equation modeling (PLS-SEM), a total of six hypotheses were evaluated, and the results show that supply chain ambidexterity has a positive effect on dynamic capability and sustainability, and SCAC plays a complementary, partially mediating role in their interaction. The findings of the research reveal the expected results of investing in the analytics capability of the supply chain and provide firms with some recommendations for improving their dynamic capabilities. This study will facilitate in creating an agile and sustainable supply chain, enabling it to adapt to both short- and long-term changes in the market while simultaneously considering the social, economic, and environmental vitality.
Exploring Influential Factors with Structural Equation Modeling–Artificial Neural Network to Involve Medicine Users in Home Medicine Waste Management and Preventing Pharmacopollution
Authors: Silva Wesley Douglas Oliveira , Morais Danielle Costa , da Silva Ketylen Gomes , Carmona Marques Pedro
Published: July 2023

The appropriate management of home medical waste is of paramount importance due to the adverse consequences that arise from improper handling. Incorrect disposal practices can lead to pharmacopollution, which poses significant risks to environmental integrity and human well-being. Involving medicine users in waste management empowers them to take responsibility for their waste and make informed decisions to safeguard the environment and public health. The objective of this research was to contribute to the prevention of pharmacopollution by identifying influential factors that promote responsible disposal practices among medicine users. Factors such as attitude, marketing campaigns, collection points, safe handling, medical prescription, package contents, and public policies and laws were examined. To analyze the complex relationships and interactions among these factors, a dual-staged approach was employed, utilizing advanced statistical modeling techniques and deep learning artificial neural network algorithms. Data were collected from 952 respondents in Pernambuco, a state in northeastern Brazil known for high rates of pharmacopollution resulting from improper disposal of household medical waste. The results of the study indicated that the propositions related to safety in handling and medical prescription were statistically rejected in the structural equation modeling (SEM) model. However, in the artificial neural network (ANN) model, these two propositions were found to be important predictors of cooperative behavior, highlighting the ANN’s ability to capture complex, non-linear relationships between variables. The findings emphasize the significance of user cooperation and provide insights for the development of effective strategies and policies to address pharmacopollution.
Heritage-Based Spatial Form Consideration: Western Urban Planning Concepts Used in Chinese Urban (Dalian) Development
Authors: Zhang Bocheng , Wang Qinglian
Published: July 2023

Dalian, a typical modern colonial city, originated in the late 19th century and was planned and built by Russian architects. Academics have traditionally focused on the unique qualities of the spatial form from the early stages of urban development, but due to a lack of urban history archives, the formation of the spatial form and the planning ideology of this time have not been examined. For this study, we visited the Russian State Historical Archives to search for relevant materials to restore the process of forming Dalian’s spatial form. Based on this, the heritage value and attributes of Dalian’s modern urban spatial form are discussed. The results show that, although Dalian was always under the control of Russian political power at the early stage of its urban construction, the urban planning ideas were integrated with modern Western urban planning ideas. Secondly, under the influence of modern Western urban planning ideas, including “classicalism” and the “garden city”, the modern Dalian urban space gradually formed a unique form and appearance, bearing the brand of the times and urban memory in a special context. Moreover, this study finds that the evolution of urban space is not simply a cumulative development of itself but the result of the influence of external ideas implanted with unique heritage values and attributes.
Fixed-Point Estimation by Iterative Strategies and Stability Analysis with Applications
Authors: Hammad Hasanen A. , Kattan Doha A.
Published: July 2023

In this study, we developed a new faster iterative scheme for approximate fixed points. This technique was applied to discuss some convergence and stability results for almost contraction mapping in a Banach space and for Suzuki generalized nonexpansive mapping in a uniformly convex Banach space. Moreover, some numerical experiments were investigated to illustrate the behavior and efficacy of our iterative scheme. The proposed method converges faster than symmetrical iterations of the S algorithm, Thakur algorithm and K* algorithm. Eventually, as an application, the nonlinear Volterra integral equation with delay was solved using the suggested method.
Contrasting the Implicit Method in Incoherent Lagrangian and the Correction Map Method in Hamiltonian
Authors: Luo Junjie , Feng Jie , Zhang Hong-Hao , Lin Weipeng
Published: July 2023

The equations of motion for a Lagrangian mainly refer to the acceleration equations, which can be obtained by the Euler–Lagrange equations. In the post-Newtonian Lagrangian form of general relativity, the Lagrangian systems can only maintain a certain post-Newtonian order and are incoherent Lagrangians since the higher-order terms are omitted. This truncation can cause some changes in the constant of motion. However, in celestial mechanics, Hamiltonians are more commonly used than Lagrangians. The conversion from Lagrangianto Hamiltonian can be achieved through the Legendre transformation. The coordinate momentum separable Hamiltonian can be computed by the symplectic algorithm, whereas the inseparable Hamiltonian can be used to compute the evolution of motion by the phase-space expansion method. Our recent work involves the design of a multi-factor correction map for the phase-space expansion method, known as the correction map method. In this paper, we compare the performance of the implicit algorithm in post-Newtonian Lagrangians and the correction map method in post-Newtonian Hamiltonians. Specifically, we investigate the extent to which both methods can uphold invariance of the motion’s constants, such as energy conservation and angular momentum preservation. Ultimately, the results of numerical simulations demonstrate the superior performance of the correction map method, particularly with respect to angular momentum conservation.
Islands in Generalized Dilaton Theories
Authors: Tian Jia
Published: July 2023

This work systematically studies the island formula in the general asymptotically flat eternal black holes in generalized dilaton gravity theories or higher-dimensional spherical black holes. Under some reasonable and mild assumptions, we prove that (the boundary of) the island always appears barely outside the horizon in the late time of Hawking radiation, so the information paradox is resolved. In particular, we find a proper island in the Liouville black hole that solves the previous the puzzle.
Fixed Point Theory on Triple Controlled Metric-like Spaces with a Numerical Iteration
Authors: Azmi Fatima M. , Haque Salma
Published: July 2023

Fixed point theory is a versatile mathematical theory that finds applications in a wide range of disciplines, including computer science, engineering, fractals, and even behavioral sciences. In this study, we propose triple controlled metric-like spaces as a generalization of controlled rectangular metric-like spaces. By examining the Θ-contraction mapping within these spaces, we extend and enhance the existing literature to establish significant fixed point results. Utilizing these findings, we demonstrate the existence of solutions to a Fredholm integral equation and provide an example of a numerical iteration method applicable to a specific case of this Fredholm integral equation.
How Does Digital Transformation Increase Corporate Sustainability? The Moderating Role of Top Management Teams
Authors: Zhang Yaxin , Jin Shanyue
Published: July 2023

Digitization is a megatrend that shapes the economy and society, driving major transformations. Enterprises, as the most important microeconomic entities, are critical carriers for society in conducting digital transformation and practicing sustainable development to achieve socioeconomic and environmental sustainability. Exploring the relationship and mechanisms between digital transformation and sustainable corporate development is crucial. This study investigates the influence of digital transformation on sustainable corporate development as well as its moderating mechanisms. A two-way fixed effects model is used on a research sample of Chinese A-share listed companies in Shanghai and Shenzhen from 2010 to 2020. Three methods are used for robustness testing to alleviate endogeneity issues. The empirical results show that digital transformation can significantly enhance sustainable corporate development, whereas empowered management and highly educated employees are essential complementary human resources that effectively strengthen the contribution of digitalization to sustainability. Additionally, internal controls are internal drivers that have a positive moderating effect on the digital transformation to improve corporate sustainability. This study reveals that digital transformation is an important tool for promoting corporate sustainability, broadening the literature in related fields, and providing insights for corporate management and government policymakers to advance corporate sustainability.
Characterizing Low-Energy Charged Particles in the Magnetosphere with the LEM CubeSat Spectrometer Project: Detector Concept and Hardware Characterisation
Authors: Nicolaidis Riccardo , Nozzoli Francesco , Pepponi Giancarlo , Bellutti Pierluigi , Demenev Evgeny , Follega Francesco Maria , Iuppa Roberto , Vilona Veronica
Published: July 2023

An accurate flux measurement of low-energy charged particles trapped in the magnetosphere is necessary for space weather characterization and to study the coupling between the lithosphere and magnetosphere, which allows for the investigation of the correlations between seismic events and particle precipitation from Van Allen belts. In this work, the project of a CubeSat space spectrometer, the low-energy module (LEM), is shown. The detector will be able to perform an event-based measurement of the energy, arrival direction, and composition of low-energy charged particles down to 0.1 MeV. Moreover, thanks to a CdZnTe mini-calorimeter, the LEM spectrometer also allows for photon detection in the sub-MeV range, joining the quest for the investigation of the nature of gamma-ray bursts (GRBs) and terrestrial gamma-ray flashes (TGFs). The particle identification of the LEM relies on the ΔE−E technique performed by thin silicon detectors. This multipurpose spectrometer will fit within a 10 × 10 × 10 cm3 CubeSat frame, and it will be constructed as a joint project between the University of Trento, FBK, and INFN-TIFPA. To fulfil the size and mass requirements, an innovative approach, based on active particle collimation, was designed for the LEM; this avoids the heavy/bulky passive collimators of previous space detectors. In this paper, we will present the LEM geometry, its detection concept, the results from the developed GEANT4 simulation, and some characterisations of a candidate silicon detector for the instrument payload.
Clinical Strategies and Therapeutics for Human Monkeypox Virus: A Revised Perspective on Recent Outbreaks
Authors: Ghosh Nilanjan , Chacko Leena , Vallamkondu Jayalakshmi , Banerjee Tanmoy , Sarkar Chandrima , Singh Birbal , Kalra Rajkumar Singh , Bhatti Jasvinder Singh , Kandimalla Ramesh , Dewanjee Saikat
Published: July 2023

An enveloped double-stranded DNA monkeypox virus (MPXV) is a causative agent of the zoonotic viral disease, human monkeypox (HMPX). MPXV belongs to the genus Orthopoxviridae, a family of notorious smallpox viruses, and so it shares similar clinical pathophysiological features. The recent multicountry HMPX outbreak (May 2022 onwards) is recognized as an emerging global public health emergency by the World Health Organization, shunting its endemic status as opined over the past few decades. Re-emergence of HMPX raises concern to reassess the present clinical strategy and therapeutics as its outbreak evolves further. Keeping a check on these developments, here we provide insights into the HMPX epidemiology, pathophysiology, and clinical representation. Weighing on its early prevention, we reviewed the strategies that are being enrolled for HMPX diagnosis. In the line of expanded MPXV prevalence, we further reviewed its clinical management and the diverse employed preventive/therapeutic strategies, including vaccines (JYNNEOS, ACAM2000, VIGIV) and antiviral drugs/inhibitors (Tecovirimat, Cidofovir, Brincidofovir). Taken together, with a revised perspective of HMPX re-emergence, the present report summarizes new knowledge on its prevalence, pathology, and prevention strategies.
Detection of Age-Related Somatic Alterations in Canine Blood Using Next-Generation Sequencing-Based Liquid Biopsy: An Analysis of over 4800 Dogs
Authors: Kruglyak Kristina M. , O’Kell Allison L. , Cohen Todd A. , Marshall Maggie A. , Ruiz-Perez Carlos A. , Marass Francesco , Tynan John A. , Hicks Susan C. , Lytle Katherine M. , Phelps-Dunn Ashley , Brandstetter Gina , Warren Chelsea D. , DiMarzio Lauren R. , Rosentel Michelle C. , Wong Lilian K. , McLennan Lisa M. , Rafalko Jill M. , Grosu Daniel S. , Chibuk Jason , Chorny Ilya , McCleary-Wheeler Angela L. , Flory Andi , Tsui Dana W. Y.
Published: July 2023

Age-related somatic genomic alterations in hematopoietic cell lines have been well characterized in humans; however, this phenomenon has not been well studied in other species. Next-generation sequencing-based liquid biopsy testing for cancer detection was recently developed for dogs and has been used to study the genomic profiles of blood samples from thousands of canine patients since 2021. In this study, 4870 client-owned dogs with and without a diagnosis or suspicion of cancer underwent liquid biopsy testing by this method. Copy number variants detected exclusively in genomic DNA derived from white blood cells (WBC gDNA-specific CNVs) were observed in 126 dogs (2.6%; 95% CI: 2.2–3.1); these copy number variants were absent from matched plasma cell-free DNA, and from tumor tissue in dogs with concurrent cancer. These findings were more common in older dogs and were persistent in WBC gDNA in over 70% of patients, with little to no change in the amplitude of the signal across longitudinal samples. Many of these alterations were observed at recurrent locations in the genome across subjects; the most common finding was a partial loss on CFA25, typically accompanied by a partial gain on the same chromosome. These early findings suggest that age-related somatic alterations may be present at an appreciable frequency in the general canine population. Further research is needed to determine the clinical significance of these findings.
Serum Ferritin in Obese Dogs: Changes and Comparison with Other Analytes
Authors: Franco-Martínez Lorena , Pardo-Marín Luis , Sánchez-Mateos Laura , Muñoz-Prieto Alberto , García-Martínez Juan Diego , Cerón José J. , Martínez-Subiela Silvia , Rubio Camila P. , Tvarijonaviciute Asta
Published: July 2023

Canine obesity is the most common nutritional disorder and is associated with decreased quality of life and longevity as well as comorbidities including cardiorespiratory, endocrine, oncologic, or orthopaedic disorders. Ferritin is a major acute-phase protein in dogs, increasing during inflammation; however, it could also be affected by other conditions, including trauma, iron metabolism dysregulations, neoplasia, or hypoxia. Higher ferritin levels have been reported in obese humans, but ferritin has not been explored in canine obesity. To evaluate the possible changes in serum ferritin in canine obesity, ferritin levels from lean/normal weight (CG, n = 55) and overweight/obese dogs (OG, n = 37) were measured, together with complete hemogram and biochemical analyses. Statistically significant higher ferritin levels (1.2-fold) were found in OG (median, (interquartile range), 204 (166–227.5) µg/L) in comparison to CG animals (172 (137–210) µg/L)), with median levels of ferritin in OG dogs above the reference range for healthy animals in our laboratory (60–190 µg/L). In addition, statistically significant higher mean corpuscular volume (MCV), mean cell haemoglobin concentration (MCHC), total proteins, globulins, haptoglobin, total ferric fixation capacity (TIBC), alkaline phosphatase (ALP), butyrylcholinesterase (BChE), triglycerides, and calcium were observed in OG in comparison to CG. The higher levels in ferritin, together with higher TBIC, haematocrit, and MCV, could indicate tissue hypoxia in obese dogs.
Correction: Deng et al. Assessment of the Macrophage Scavenger Receptor CD163 in Mediating Glaesserella parasuis Infection of Host Cells. Vet. Sci. 2023, 10, 235
Authors: Deng Xiangwei , Li Shuilian , Zhu Ying , Yu Bo , Zhang Jing , Fang Qianhai , Li Zhimin , Chen Hongbo , Zhou Huanhuan
Published: July 2023

In the original publication [...]
Automatic River Planform Recognition Tested on Chilean Rivers
Authors: Nardini Andrea Gianni Cristoforo , Salas Francisca , Carrasco Zoila , Valenzuela Noelia , Rojas Renzo , Vargas-Baecheler José , Yépez Santiago
Published: July 2023

This paper addresses the issue of the automatic identification of river reaches and their planform type given the (observed) set of geomorphic elements and units. It introduces further advances with respect to the original proposal by Nardini and Brierley, and it explores explicitly the ability of the algorithm and associated tools to work properly on significantly different rivers while adopting a given same parametrization. This was indeed an envisaged ability speculated as a challenging conclusion of the previous work. The Duqueco, Laja, and Biobío rivers (Chile) were analyzed for this purpose. The conclusion is definitely positive, which opens future promising application horizons.
Phytoremediation Capacity of Water Hyacinth (Eichhornia crassipes) as a Nature-Based Solution for Contaminants and Physicochemical Characterization of Lake Water
Authors: Churko Esayas Elias , Nhamo Luxon , Chitakira Munyaradzi
Published: July 2023

Water hyacinth (Eichhornia crassipes) is a potential accumulator of water pollutants in aquatic ecosystems, and its presence in water systems can affect water quality. This study used different field measurements and laboratory tests of lake water to determine the impact of water hyacinth phytoremediation capacity. A total of eight sampling stations were used for the two lakes: Lake Koka and Lake Ziway, Ethiopia. Sampling stations were selected from sites infested with water hyacinth (low, medium, and high) and non-water hyacinth aquatic plants during wet or rainy and dry or non-rainy seasons to compare the effects of plants on water quality in the two lakes. All the sampled stations had various human interventions. The water samples were tested for the selected physico-chemical properties, namely, phosphate, nitrate, pH, electrical conductivity (EC), the five-day biological oxygen demand (BOD5), water temperature, and heavy metals (Chromium (Cr), Lead (Pb), Cadmium (Cd), Zinc (Zn), and Copper (Cu)). These water quality variables were compared by means of ANOVA. Despite the chemical oxygen demand (COD) of Lake Ziway, this study found no significant (p > 0.05) variation in the concentrations of Cu, EC, pH and water temperature between wet and dry seasons in either lake. Variations in Zn concentration and other physico-chemical parameters (EC, BOD5, COD, nitrate, phosphate) between low, medium, and high levels of water hyacinth were significant in both lakes (p < 0.05). Water hyacinth has shown significant phytoremediation nature during wet and dry seasons. The lowest average heavy metal, phosphate, and nitrate concentrations; and significant pH and temperature variations were observed in Lakes Koka and Lake Ziway, among water hyacinth and other grass-infested sites. These findings suggest water hyacinth plant as a promising nature-based solution for removing undesirable chemicals from contaminated water bodies.
Correction of Fused Rainfall Data Based on Identification and Exclusion of Anomalous Rainfall Station Data
Authors: Qiu Qingtai , Wang Zheng , Tian Jiyang , Tu Yong , Cui Xidong , Hu Chunqi , Kang Yajing
Published: July 2023

High-quality rainfall data are crucial for accurately forecasting flash floods and runoff simulations. However, traditional correction methods often overlook errors in rainfall-monitoring data. We established a screening system to identify anomalous stations using the Hampel method, Grubbs criterion, analysis of surrounding measurement stations, and radar-assisted verification. Three rainfall data-fusion methods were used to fuse rainfall station data with radar quantitative precipitation estimation data; the accuracies of the fused data products with and without anomalous data identification were compared. Validation was performed using four 2012 rainfall events in Hebei Province. The 08:00–19:00 July 3 rainfall event had the highest number of anomalous stations (11.5% of the total), while the 01:00–17:00 August 9 event had the lowest number (7.8%). By comparing stations deemed to be anomalous with stations that were actually anomalous, we determined that the accuracy of reference station determination using Hampel’s method and Grubbs’ test was 94.2%. Radar-assisted validation improved the average accuracy of anomalous station identification during the four typical rainfall events from 89.7 to 93.7%. Excluding anomalous data also significantly impacted the efficacy of rainfall-data fusion, as it improved the quality of the rainfall station data. Among the performance indicators, 95% improved after the exclusion of anomalous data for all four rainfall events.
Water Quality Prediction Based on the KF-LSTM Encoder-Decoder Network: A Case Study with Missing Data Collection
Authors: Cai Hao , Zhang Chen , Xu Jianlong , Wang Fei , Xiao Lianghong , Huang Shanxing , Zhang Yufeng
Published: July 2023

This paper focuses on water quality prediction in the presence of a large number of missing values in water quality monitoring data. Current water quality monitoring data mostly come from different monitoring stations in different water bodies. As the duration of water quality monitoring increases, the complexity of water quality data also increases, and missing data is a common and difficult to avoid problem in water quality monitoring. In order to fully exploit the valuable features of the monitored data and improve the accuracy of water quality prediction models, we propose a long short-term memory (LSTM) encoder-decoder model that combines a Kalman filter (KF) with an attention mechanism. The Kalman filter in the model can quickly complete the reconstruction and pre-processing of hydrological data. The attention mechanism is added between the decoder and the encoder to solve the problem that traditional recursive neural network models lose long-range information and fully exploit the interaction information among high-dimensional covariate data. Using original data from the Haimen Bay water quality monitoring station in the Lianjiang River Basin for analysis, we trained and tested our model using detection data from 1 January 2019 to 30 June 2020 to predict future water quality. The results show that compared with traditional LSTM models, KF-LSTM models reduce the average absolute error (MAE) by 10%, the mean square error (MSE) by 21.2%, the root mean square error (RMSE) by 13.2%, while increasing the coefficient of determination (R2) by 4.5%. This model is more suitable for situations where there are many missing values in water quality data, while providing new solutions for real-time management of urban aquatic environments.
Static Reservoir Simulations and Seismic Attributes Application to Image the Miocene Deep-Water Reservoirs in Southeast Asia
Authors: Naseer Muhammad Tayyab , Khalid Raja Hammad , Naseem Shazia , Li Wei , Kontakiotis George , Radwan Ahmed E. , Janjuhah Hammad Tariq , Antonarakou Assimina
Published: July 2023

Globally, deep-water reservoir systems are comprised of a variety of traps. Lateral and downdip trapping features include sand pinch-outs, truncation against salt or shale diapirs, and monoclinal dip or faulting with any combination of trapping designs; the potential for massive hydrocarbon accumulations exists, representing significant exploration prospects across the planet. However, deep-water turbidites and submarine fans are two different types of traps, which are developed along the upslope and the basin floor fans. Among these two traps, the basin floor fans are the most prolific traps as they are not influenced by sea-level rise, which distorts the seismic signals, and hence provides ambiguous seismic signatures to predict them as hydrocarbon-bearing zones for future explorations. Therefore, the deep-water channel-levee sand systems and basin floor fans sandstone define economically viable stratigraphic plays. The subsurface variability is significant, and hence, characterizing the thick (porous) channelized-basin floor fans reservoir is a challenge for the exploitation of hydrocarbons. This study aims to develop seismic-based attributes and wedge modeling tools to accurately resolve and characterize the porous and gas-bearing reservoirs using high-resolution seismic-based profiles, in SW Pakistan. The reflection strength slices better delineate the geomorphology of sand-filled channelized-basin floor fans as compared to the instant frequency magnitudes. This stratigraphic prospect has an area of 1180 km2. The sweetness magnitudes predict the thickness of channelized-basin floor fans as 33 m, faults, and porous lithofacies that complete a vital petroleum system. The wedge modeling also acts as a direct hydrocarbon indicator (DHI) and, hence, should be incorporated into conventional stratigraphic exploration schemes for de-risking stratigraphic prospects. The wedge model resolves a 26-m thick hydrocarbon-bearing channelized-basin floor fans lens with a lateral distribution of ~64 km. Therefore, this wedge model provides ~75% correlation of the thickness of the LSL as measured by sweetness magnitudes. The thickness of shale that serves as the top seal is 930 m, the lateral mud-filled canyons are 1190 m, and the thick bottom seal is ~10 m, which provides evidence for the presence of a vibrant petroleum play. Hence, their reveals bright opportunities to exploit the economically vibrant stratigraphic scheme inside the OIB and other similar global depositional systems.
Adsorption and Removal of Composite Contaminants in Water Using Thermoplastic Polyurethane Nanofiber Membranes with Polydopamine–Polyethyleneimine Coatings
Authors: Qin Yan , Sun Jiaoxia , Zhou Yao , Fan Jianxin , Hu Ying
Published: July 2023

Dye wastewater containing bisphenol A (BPA) and dyes as pollutants has not been adequately studied. Our previous study revealed that thermoplastic polyurethane (TPU) nanofiber membranes (NFMs) modified by the addition of polyethyleneimine (PEI) and polydopamine (PDA) satisfactorily adsorb dyes. Herein, we first optimized the synthesis conditions for such membranes, noting a PEI/PDA monomer ratio of 2:2 and a deposition time of 48 h to be optimal. Experiments using these membranes revealed that binary systems containing BPA and the dyes (Congo red (CR), Eosin yellow (EY), or sunset yellow (SY)) exhibit three adsorption behaviors. CR and BPA compete with each other for adsorption sites, decreasing the maximum adsorption capacity (Qmax) for CR 208.3 mg/g (in a monomeric system) to 182.4 mg/g. The adsorption rates for CR and BPA decreased from 0.002 min−1 and 0.331 min−1 in the monomeric systems to 8.37 × 10−4 min−1 and 0.072 min−1, respectively, in the binary CR–BPA system, exhibiting antagonistic effects. When EY and BPA coexisted, Qmax for EY increased from 60.0 (monomeric) to 71.9 mg/g, whereas that for BPA increased from 35.6 to 43.2 mg/g, showing a synergistic effect due to the possible bridging effect. The adsorption sites for SY and BPA are independent of each other. The novelty of this study is the finding that PDA/PEI-TPU NFMS exhibited high adsorption capacity for dyes and BPA in binary composite systems and PDA/PEI-TPU NFMs showed different adsorption patterns for three dye–BPA binary composite systems. The preparation of PDA/PEI-TPU NFMs and the investigation of the adsorption mechanism for dye–BPA binary composite systems are not only of theoretical importance but also provide experimental and data support for practical applications.
Las redes sociales y la educación superior a distancia durante la pandemia
Authors: Dolores Saldaña Liz Charlotte , Roldan Baluis Walter Luis
Published: July 2023

La pandemia de COVID-19 ha trastornado la vida de todos. Las universidades se vieron obligados a cambiar de escenario, del aprendizaje presencial al aprendizaje en línea. Desde aquel momento, el uso de las plataformas de Redes Sociales se ha convertido en una de las principales herramientas de comunicación entre los estudiantes y educadores. La presente investigación tiene como objetivo identificar los efectos mediadores de las redes sociales en la educación en línea de la educación superior en el contexto de la pandemia. La metodología usada fue la revisión sistemática, se elaboró una formula especializada para la búsqueda eficaz de artículos publicados en la base de datos SCOPUS. Se hizo la revisión de 27 documentos. Con respecto a los resultados de busqueda el Facebook, WhatsApp y Youtube fueron las Redes Sociales más utilizadas. Por otro lado, el 14.81% de los documentos analizados identifican efectos mediadores negativos vinculados a problemas de salud; mientras que el 81.84% de investigaciones identifican efectos mediadores positivos.
Habilidades sociales y el trabajo en equipo en estudiantes del nivel secundaria
Authors: Belsuzarri Claros Rosa Amalia , Salvatierra Melgar Angel , Flores Mosquera Zoraida Elva
Published: July 2023

Perú es un país que tiene poca inversión o preocupación en el sistema educativo, a diferencia de otros países. Existe una necesidad que los estudiantes en las escuelas desarrollen habilidades que le permitan integrarse en la sociedad. El colegio, como Entidad Educativa y socializadora, le concierne encargarse del rol de colaborar a la formación y potencialización de conductas sociales buenas que guíen al estudiante a una interrelación positiva con sus compañeros. En ese sentido, este estudio plantea como objetivo analizar las Habilidades sociales y el trabajo en equipo en estudiantes del nivel secundaria. Se llevó a cabo un estudio mediante la revisión bibliográfica, bajo el análisis documental de enfoque cualitativa considerando las variables habilidades sociales y trabajo en equipo. Se concluye que las habilidades sociales son primordiales para influenciar las conductas, virtudes, creencias, facultades intelectuales y formas de interrelación entre los estudiantes.
Las buenas prácticas en la educación inclusiva
Authors: Coahila Huallpa Evelin Susan
Published: July 2023

Las buenas prácticas en la educación responden a las crisis y buscan soluciones alternativas para comunicarse y relacionarse con los estudiantes mediante los recursos de aprendizaje. De esta manera, el objetivo del estudio fue analizar las buenas prácticas en la educación inclusiva, para ello, se llevó a cabo una revisión sistemática considerando 50 artículos de los buscadores Researchgate, Scielo, Scopus, Ebsco y SciencieDirect, con operadores lógicos and, or, not, mediante las palabras claves “buenas prácticas en la educación inclusiva” “buenas prácticas” “buenas prácticas inclusivas” “buenas prácticas pedagógicas” “good practices in inclusive education” “good practices” “good inclusive practices” “good pedagogical practices”. Se concluye que cuando se habla de buenas prácticas, también conlleva al tema de inclusión, ya que debe estar dirigidos a todos los sectores estudiantiles, fomentando la participación al desarrollo del fortalecimiento del aprendizaje sin exclusi ón.