bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
Authors: Feng Jianshuai , Shi Tianyu , Wu Yuankai , Xie Xiang , He Hongwen , Tan Huachun
Published: May 2023

In advanced transportation-management systems, variable speed limits are a crucial application. Deep reinforcement learning methods have been shown to have superior performance in many applications, as they are an effective approach to learning environment dynamics for decision-making and control. However, they face two significant difficulties in traffic-control applications: reward engineering with delayed reward and brittle convergence properties with gradient descent. To address these challenges, evolutionary strategies are well suited as a class of black-box optimization techniques inspired by natural evolution. Additionally, the traditional deep reinforcement learning framework struggles to handle the delayed reward setting. This paper proposes a novel approach using covariance matrix adaptation evolution strategy (CMA-ES), a gradient-free global optimization method, to handle the task of multi-lane differential variable speed limit control. The proposed method uses a deep-learning-based method to dynamically learn optimal and distinct speed limits among lanes. The parameters of the neural network are sampled using a multivariate normal distribution, and the dependencies between the variables are represented by a covariance matrix that is optimized dynamically by CMA-ES based on the freeway’s throughput. The proposed approach is tested on a freeway with simulated recurrent bottlenecks, and the experimental results show that it outperforms deep reinforcement learning-based approaches, traditional evolutionary search methods, and the no-control scenario. Our proposed method demonstrates a 23% improvement in average travel time and an average of a 4% improvement in CO, HC, and NOx emission.Furthermore, the proposed method produces explainable speed limits and has desirable generalization power.
Quantifying the Environmental Impact of Vehicle Emissions Due to Traffic Diversion Plans for Road Infrastructure Construction Projects: A Case Study in China
Authors: Ma Mingjun , Liu Meng , Li Ziqiao
Published: May 2023

Current LCA-based environmental impact assessments rarely consider the environmental impact of traffic network deterioration due to temporary road closures during road infrastructure construction processes. This study proposes a quantification method to evaluate the environmental impact of traffic diversions during the road infrastructure construction process. The environmental impact assessment method ReCiPe 2016 was selected to evaluate the environmental impact of pollutant emissions from deteriorated traffic conditions. Ten types of traffic emissions were estimated by emission factors and traffic conditions. A case study quantified the potential environmental impact of traffic emissions resulting from four diversion plans based on an actual bridge-construction case study in Chongqing city of China. Results revealed that different diversion plans could lead to different final environmental impacts. “Global warming” dominated both “Human health” and “Ecosystems” impacts. In the “Human health” category, more than 95% of the environmental impact was contributed by global warming. Similarly, the impact of “Global warming” was higher than 75% in the “Ecosystems” category. CO2 emissions were the main contributor to the overall “Global warming” impact in all four diversion plans. The traffic speed under traffic diversions before and during road infrastructure construction processes is the major factor influencing the overall environmental impact (endpoint).
Energy Consumption and Energy Saving Analysis of Air-Conditioning Systems of Data Centers in Typical Cities in China
Authors: Sun Tiezhu , Huang Xiaojun , Liang Caihang , Liu Riming , Yan Yongcheng
Published: May 2023

The energy consumption status and energy saving potential of the air-conditioning systems of data centers in seven typical cities in China (Xinjiang, Beijing, Jinan, Shanghai, Nanning, Guilin, and Haikou), representing diverse climate regions, were studied. The power usage effectiveness (PUE) and cooling load factor (CLF) were taken as the evaluation indicators. First, the energy consumption situations of the existing air-conditioning systems were analyzed using an internship survey. Second, the meteorological data throughout the year for the seven cities were statistically analyzed. Then, two energy saving renovation schemes were proposed. The operating hours under different operating modes in the seven cities were calculated, and the PUE and energy saving potential of the two energy saving schemes were evaluated by taking the production of 15 °C chilled water as an example. This study provides an overall picture of the energy utilization status in the current Chinese data center market and provides solutions for improving the design of air-conditioning systems, with energy saving benefits.
Using Time-Series Generative Adversarial Networks to Synthesize Sensing Data for Pest Incidence Forecasting on Sustainable Agriculture
Authors: Tai Chen-Yu , Wang Wun-Jhe , Huang Yueh-Min
Published: May 2023

A sufficient amount of data is crucial for high-performance and accurate trend prediction. However, it is difficult and time-consuming to collect agricultural data over long periods of time; the consequence of such difficulty is datasets that are characterized by missing data. In this study we use a time-series generative adversarial network (TimeGAN) to synthesize multivariate agricultural sensing data and train RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), and GRU (Gated Recurrent Unit) neural network prediction models on the original and generated data to predict future pest populations. After our experiment, the data generated using TimeGAN and the original data have the smallest EC value in the GRU model, which is 9.86. The results show that the generative model effectively synthesizes multivariate agricultural sensing data and can be used to make up for the lack of actual data. The pest prediction model trained on synthetic data using time-series data generation yields results that are similar to that of the model trained on actual data. Accurate prediction of pest populations would represent a breakthrough in allowing for accurate and timely pest control.
Fruit By-Products and Their Industrial Applications for Nutritional Benefits and Health Promotion: A Comprehensive Review
Authors: Teshome Ejigayehu , Teka Tilahun A. , Nandasiri Ruchira , Rout Jyoti Ranjan , Harouna Difo Voukang , Astatkie Tessema , Urugo Markos Makiso
Published: May 2023

Fresh and processed fruits are commonly used to prepare different industrial products with superior nutritional and health-promoting properties. Currently, the demand for processed-fruit products has motivated the rapid growth of fruit-processing industries, persuading them to produce an enormous number of by-products. Furthermore, people’s shifting dietary habits and lack of awareness of nutritional properties result in a large number of fruit by-products. The lack of knowledge about the value of by-products urges the exploration of proper documents that emphasize the health benefits of such products. Hence, this article was prepared by carefully reviewing the recent literature on industrial applications of fruit by-products and their nutritional and health-promoting properties. The use of fruit by-products in food industries for various purposes has been reported in the past and has been reviewed and described here. Fruit by-products are a good source of nutrients and bioactive components, including polyphenols, dietary fibers, and vitamins, implying that they could have an important role for novel, value-added functional food properties. Furthermore, fruit by-products are used as the substrate to produce organic acids, essential oils, enzymes, fuel, biodegradable packaging materials, and preservatives.
Spatial Analysis of Socioeconomic Factors Contributing to Food Desert in North Carolina
Authors: Tanoh Victoria , Hashemi-Beni Leila
Published: May 2023

Food deserts (FD) have attracted attention after the post-COVID-19 pandemic, primarily due to adverse health and other implications of living in areas designated as food deserts. Most studies have focused on various aspects of the impact of food deserts, including the nutritional and health risks of living in FDs. Spatial integration and analysis of the GIS data in food provide a powerful way to expose the issues of creating deserts and how they change over space and time. This study aims to investigate the socioeconomic factors influencing food deserts using geospatial analyses. Guilford, Bladen, and Rutherford Counties in North Carolina were selected as case studies due to their higher percentage of the population with limited healthy food access. This study used open-source data, such as the USDA’s Crop Land Layer (CDL) land cover maps, census data, and the Food Access Research Atlas. This research provides a geostatistical analysis of FDs based on income/expenditure, population, vehicle, and food aid. The study results generally showed that geospatial technologies are vital for investigating FDs. The results will assist policy makers and other responsible agencies in formulating appropriate intervention policies tailored to meet the demands of these counties.
Short-Term Toxicity of ZnO Nanoparticles on Microalgae at Different Initial Nutrient Concentrations
Authors: Tzanakis Nikolaos , Aravantinou Andriana F. , Manariotis Ioannis D.
Published: May 2023

The aim of this work was to investigate the combined short-term toxic effect of zinc oxide (ZnO) nanoparticles (NPs) and nitrate concentration of the medium on freshwater microalgae. For this purpose, freshwater microalgae Chlorococcum sp. was cultivated in modified Blue-Green medium (BG-11) containing nitrate concentrations ranging from 0 to 300 mg/L, and exposed to ZnO NPs in different concentrations (0.081 to 810 mg/L) for a period up to 96 h. The experimental results revealed that algal growth was affected by the exposure time, NPs concentrations, and mainly the initial nitrate concentration. Differences in microalgae growth rates were observed. The toxic effect of ZnO NPs was higher on microalgae cultured in modified BG-11 with low and high nitrate concentrations. During the 4-day exposure, the highest growth rates were observed at 24 h at an initial nitrate concentration of 50 mg/L; 1.94 d−1 and 0.22 d−1 for 0 and 810 mg/L ZnO NPs, respectively. Nitrate uptake by algal biomass reached up to 40.1% after 96 h of operation in the control culture with an initial nitrate concentration of 50 mg/L. Finally, the results of this study showed the need for the investigation of ZnO NPs toxicity on microalgae under optimum and stressful nutrient conditions for microalgae growth.
A Comparison of Deep Transfer Learning Methods for Land Use and Land Cover Classification
Authors: Dastour Hatef , Hassan Quazi K.
Published: May 2023

The pace of Land Use/Land Cover (LULC) change has accelerated due to population growth, industrialization, and economic development. To understand and analyze this transformation, it is essential to examine changes in LULC meticulously. LULC classification is a fundamental and complex task that plays a significant role in farming decision making and urban planning for long-term development in the earth observation system. Recent advances in deep learning, transfer learning, and remote sensing technology have simplified the LULC classification problem. Deep transfer learning is particularly useful for addressing the issue of insufficient training data because it reduces the need for equally distributed data. In this study, thirty-nine deep transfer learning models were systematically evaluated alongside multiple deep transfer learning models for LULC classification using a consistent set of criteria. Our experiments will be conducted under controlled conditions to provide valuable insights for future research on LULC classification using deep transfer learning models. Among our models, ResNet50, EfficientNetV2B0, and ResNet152 were the top performers in terms of kappa and accuracy scores. ResNet152 required three times longer training time than EfficientNetV2B0 on our test computer, while ResNet50 took roughly twice as long. ResNet50 achieved an overall f1-score of 0.967 on the test set, with the Highway class having the lowest score and the Sea Lake class having the highest.
The Green Attitude of Four European Capitals of Culture’s Youth
Authors: Kővári Edit , Formádi Katalin , Banász Zsuzsanna
Published: May 2023

This study investigated the attitude of young people (individuals aged 14–25 years old) towards environmental protection using the NEP scale. The research aims to understand how demographic characteristics may influence young people’s attitudes toward green issues. The study focuses on answering the following two research questions: Q1. How can the environmental attitudes of young individuals be systematically characterized and summarized? Q2. To what extent do demographic factors influence the environmental attitudes of young individuals? A computer-assisted data collection (CAPI) method was carried out in four European Capital of Culture cities from different countries (Estonia, Hungary, Lithuania, Romania) from April to June 2022. On the basis of this primary questionnaire survey, descriptive statistics and relationship analyses (Cramer’s V and Kendall’s tau) were used to analyze the collected data (n = 712). The results revealed that in most cases, demographic characteristics had little or no impact at all on green attitudes. Thus, most youth attitudes showed the concept that humanity must adapt to the limits of nature. Furthermore, there were three green attitude statements where moderate differences could be detected by the countries. The findings can provide guidance for decision-makers in the field of environmental education and marketing, and they can also serve as a benchmark for other countries. Additionally, it opens up new opportunities for further research on the role of formal and informal education, as well as to measure the impact of social media on youth environmental behavior and their proactivity towards green issues.
Evaluating China’s Common Prosperity Policies against the Background of Green Development by Using the PMC Model
Authors: Ma Xiangfei , Ruan Yifan , Yang Qiying
Published: May 2023

Green development is the background of common prosperity and is important for the sustainable development of China. The purpose of this paper is to quantitatively evaluate China’s common prosperity policies to understand the advantages and disadvantages of common prosperity policies. In this paper, 15 representative common prosperity policies are research subjects, and this study uses the PMC (Policy Modeling Consistency) index method to assess the quality of common prosperity policies in China. This study, firstly, finds that the average value of the 15 common prosperity policies is 6.47, evaluated as a good grade. Secondly, 80% of policies are evaluated as a good or excellent grade, which means that the quality of the policy making of 80% of policies is at least good. Except for policy prescription, policy subject and policy incentive, the values of other first-level indicators are all greater than six, indicating that the Chinese government’s formulation level of common prosperity policies is relatively high. Thirdly, among fifteen common prosperity policies, one policy is evaluated as a perfect grade (quality of policy making is very good), four policies are evaluated as excellent (quality of policy making is better than required), eight policies are evaluated as good (quality of policy making is good) and two policies are evaluated as bad (quality of policy making is bad). Fourthly, by drawing figures composed of PMC curves, this paper analyzes common prosperity policies of different grades. Finally, some suggestions are proposed in this study to improve China’s common prosperity policies.
JKRL: Joint Knowledge Representation Learning of Text Description and Knowledge Graph
Authors: Xu Guoyan , Zhang Qirui , Yu Du , Lu Sijun , Lu Yuwei
Published: May 2023

The purpose of knowledge representation learning is to learn the vector representation of research objects projected by a matrix in low-dimensional vector space and explore the relationship between embedded objects in low-dimensional space. However, most methods only consider the triple structure in the knowledge graph and ignore the additional information related to the triple, especially the text description information. In this paper, we propose a knowledge graph representation model with a symmetric architecture called Joint Knowledge Representation Learning of Text Description and Knowledge Graph (JKRL), which models the entity description and relationship description of the triple structure for joint representation learning of knowledge and balances the contribution of the triple structure and text description in the process of vector learning. First, we adopt the TransE model to learn the structural vector representations of entities and relations, and then use a CNN model to encode the entity description to obtain the text representation of the entity. To semantically encode the relation descriptions, we designed an Attention-Bi-LSTM text encoder, which introduces an attention mechanism into the Bi-LSTM model to calculate the semantic relevance between each word in the sentence and different relations. In addition, we also introduce position features into word features in order to better encode word order information. Finally, we define a joint evaluation function to learn the joint representation of structural and textual representations. The experiments show that compared with the baseline methods, our model achieves the best performance on both Mean Rank and Hits@10 metrics. The accuracy of the triple classification task on the FB15K dataset reached 93.2%.
Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities
Authors: Hamadneh Tareq , Alomari Mohammad W. , Al-Shbeil Isra , Alaqad Hala , Hatamleh Raed , Heilat Ahmed Salem , Al-Husban Abdallah
Published: May 2023

This paper proves several new inequalities for the Euclidean operator radius, which refine some recent results. It is shown that the new results are much more accurate than the related, recently published results. Moreover, inequalities for both symmetric and non-symmetric Hilbert space operators are studied.
The Role of G3BP1 Gene Mediates P38 MAPK/JNK Pathway in Testicular Spermatogenic Dysfunction Caused by Cyfluthrin
Authors: Li Xiao-Yu , Sun Jian , Ma Li-Ya , Xie Yong-Xin , Zhang Na , Zhao Ji , Yang Hui-Fang
Published: May 2023

In recent years, male infertility has received global attention and seriously affected the quality of human fertility, and pyrethroids (type II pyrethroids), as recognized environmental endocrine disruptors, may threaten male reproductive health. Therefore, in this study, we established an in vivo model for the development of testicular and germ cell toxicity induced by cyfluthrin and explored the role and mechanism of the G3BP1 gene-mediated P38 MAPK/JNK pathway in testicular and germ cell damage caused by cyfluthrin to find early and sensitive indicators and new therapeutic targets for the development of testicular damage. Firstly, 40 male Wistar rats (about 260 g) were divided into a control group (corn oil), low dose group (6.25 mg/kg), middle dose group (12.5 mg/kg) and high dose group (25 mg/kg). The rats were anesthetized and executed after 28 days of poisoning on alternate days. Then, HE staining, transmission electron microscopy, ELISA, q-PCR, Western blot, immunohistochemistry, double-immunofluorescence and TUNEL were used to observe the pathology, androgen levels, oxidative damage and altered expression of the key factors of the G3BP1 and MAPK pathways in rat testes. The results showed that, compared with the control group, the testicular tissue and spermatocytes were superficially damaged with an increasing dose of cyfluthrin; furthermore, it could interfere with the normal secretion of the hypothalamic–pituitary–gonadal axis (serum GnRH, FSH, T and LH levels) and cause hypergonadal dysfunction. A dose-dependent increase in MDA and a dose-dependent decrease in T-AOC indicated that the oxidative–antioxidative homeostatic balance was disrupted. The Western blot and qPCR analysis revealed that G3BP1, p-JNK1/2/3, P38 MAPK, p-ERK, COX1 and COX4 proteins and mRNA expression were decreased, and p-JNK1/2/3, p-P38MAPK, caspase 3/8/9 proteins and mRNA expression were significantly increased. The double-immunofluorescence and immunohistochemistry results showed that the protein expression of G3BP1 decreased with an increasing dose of staining, while the expression of JNK1/2/3 and P38 MAPK were increased significantly. The positive expressions of G3BP1 were mainly located in the testicular germinal epithelium and germ cell layer, and the positive expressions of JNK1/2/3 were mainly located in the testicular germinal epithelium and sperm cells, while the positive expressions of P38 MAPK were located in all levels of the germ cells and spermatozoa. Our results demonstrated that exposure to cyfluthrin caused testicular and spermatocyte damage in rats, which could cause pathomorphology, altered androgen levels and a decreased antioxidant capacity. When the intracellular antioxidant capacity was impaired, G3BP1 expression and activity were inhibited, causing activation of the P38 MAPK/JNK pathway and activation of the intracellular apoptotic pathway, which, in turn, led to germ cell apoptosis.
Infectious SARS-CoV-2 Particles from Rectal Swab Samples from COVID-19 Patients in Brazil
Authors: Ribeiro Ieda Pereira , Nascimento Lilian Gonçalves do , Tort Luis Fernando Lopez , Pereira Elisa Cavalcante , Menezes Lidiane Souza Raphael , Malta Fabio Correia , Oliveira Barbara Cristina Euzebio Pereira Dias de , Rodrigues João Paulo , Manso Pedro Paulo de Abreu , Pelajo Marcelo , Bonaldo Myrna Cristina , Silva Paola Cristina Resende , Siqueira Marilda Mendonça , Brasil Patricia , Fumian Tulio Machado
Published: May 2023

The main objective of this study was to investigate the dynamic of SARS-CoV-2 viral excretion in rectal swab (RS), saliva, and nasopharyngeal swab (NS) samples from symptomatic patients and asymptomatic contacts. In addition, in order to evaluate the replication potential of SARS-CoV-2 in the gastrointestinal (GI) tract and the excretion of infectious SARS-CoV-2 from feces, we investigated the presence of subgenomic nucleoprotein gene (N) mRNA (sgN) in RS samples and cytopathic effects in Vero cell culture. A prospective cohort study was performed to collect samples from symptomatic patients and contacts in Rio de Janeiro, Brazil, from May to October 2020. One hundred and seventy-six patients had samples collected at home visits and/or during the follow up, resulting in a total of 1633 RS, saliva, or NS samples. SARS-CoV-2 RNA was detected in 130 (73.9%) patients who had at least one sample that tested positive for SARS-CoV-2. The presence of replicating SARS-CoV-2 in RS samples, measured by the detection of sgN mRNA, was successfully achieved in 19.4% (6/31) of samples, whilst infectious SARS-CoV-2, measured by the generation of cytopathic effects in cell culture, was identified in only one RS sample. Although rare, our results demonstrated the replication capacity of SARS-CoV-2 in the GI tract, and infectious viruses in one RS sample. There is still a gap in the knowledge regarding SARS-CoV-2 fecal–oral transmission. Additional studies are warranted to investigate fecal or wastewater exposure as a risk factor for transmission in human populations.
PTTG1 Enhances Oncolytic Adenovirus 5 Entry into Pancreatic Adenocarcinoma Cells by Increasing CXADR Expression
Authors: Long Lu , Gao Jian , Zhang Ruiyang
Published: May 2023

Pituitary tumor-transforming gene 1 (PTTG1) is overexpressed in various types of tumors and functions as an oncogene; it could also be a potential target in tumor therapy. Meanwhile, the high mortality of pancreatic adenocarcinoma (PAAD) largely depends on the limited effectiveness of therapy. Based on the promising potential of PTTG1 in cancer treatment, we explored the influence of PTTG1 on the treatment of PAAD in this study. The Cancer Genome Atlas Program (TCGA) data showed that higher expression of PTTG1 was associated with higher clinical stages and worse prognosis of pancreatic cancer. In addition, the CCK-8 assay showed that the IC50 of gemcitabine and 5-fluorouracil (5-FU) was increased in BxPC-3-PTTG1high and MIA PaCa-2-PTTG1high cells. The TIDE algorithm indicated that the immune checkpoint blockades’ (ICBs) efficiency is poor in the PTTG1 high group. Furthermore, we found that the efficiency of OAd5 was enhanced in BxPC-3-PTTG1high and MIA PaCa-2-PTTG1high cells and poor in BxPC-3-PTTG1low and MIA PaCa-2-PTTG1low cells. We used the OAd5 expressing GFP for transduction. As a result, the fluorescence intensity was enhanced in BxPC-3-PTTG1high and MIA PaCa-2-PTTG1high cells and decreased in BxPC-3-PTTG1low and MIA PaCa-2-PTTG1low cells 24 h after OAd5 transduction. The fluorescence intensity indicated that PTTG1 increased OAd5 entry. The flow cytometry assay showed that OAd5 receptor CXADR expression was enhanced by PTTG1. PTTG1 failed to further enhance OAd5 transduction in the case of CXADR knockdown. In summary, PTTG1 enhanced OAd5 transduction into pancreatic cancer cells by increasing CXADR expression on the cell surface.
Molecular Detection and Phylogenetic Characterization of Anaplasma spp. in Dogs from Hainan Province/Island, China
Authors: Lin Yang , Zhou Sa , Upadhyay Archana , Zhao Jianguo , Liao Chenghong , Guan Qingfeng , Wang Jinhua , Han Qian
Published: May 2023

Anaplasmosis is a serious infection which is transmitted by ticks and mosquitos. There are very few reports and studies that have been carried out to understand the prevalence, distribution, and epidemiological profile of Anaplasma spp. infection in dogs in Hainan province/island. In the present study, we have tried to understand the prevalence, distribution, and occurrence of Anaplasma spp. infections in dogs (n = 1051) in Hainan Island/Province to establish a surveillance-based study. The confirmed positive samples by Polymerase chain reaction (PCR) were subjected to capillary sequencing for further strain-specific confirmation, followed by the construction of phylogenetic trees to determine their genetic relations. Various statistical tools were used to analyze related risk factors. There were three species of Anaplasma detected from the Hainan region; namely, A. phagocytophilum, A. bovis, and A. platys. The overall prevalence of Anaplasma is 9.7% (102/1051). A. phagocytopihum was prevalent in 1.0% of dogs (11/1051), A. bovis was found in 2.7% of dogs (28/1051), and A. platys in 6.0% of dogs (63/1051). Our surveillance-based study conducted to understand the occurrence and distribution pattern of Anaplasma spp. in Hainan will help in designing effective control measures along with management strategies so as to treat and control the infection in the area.
Dynamic Water Environment Capacity Assessment Based on Control Unit Coupled with SWAT Model and Differential Evolution Algorithm
Authors: Wang Linfang , Dang Dexuan , Liu Yue , Peng Xinyuan , Liu Ruimin
Published: May 2023

Water pollution is a serious problem in China and abroad. Revealing the source types and their spatio-temporal characteristics is the premise of effective watershed management and pollution prevention. Since the national control unit can better match the administrative division, it was useful for the manager to control water pollution. Taking the Fenhe River Basin as the research area, a SWAT model based on the national control unit was established in this study to reveal the current situation of water quantity and quality. Then, in combination with the differential evolution algorithm, the dynamic water environment capacities of each control unit were further discussed. The results showed that the flow upstream was lower, only 7.62–8.40 m3/s, but flow in the midstream and downstream increased to 17.58 m3/s and 18.32 m3/s. Additionally, the flow in tributaries was generally lower than that in the main stream, the flow in unit 6 and unit 11 were only 0.23 m3/s and 0.62 m3/s. The water quality upstream could meet the water quality requirements of drinking water sources, but the pollution in the midstream was the most serious after passing through Taiyuan City, the concentration of NH3-N and TP reached to 6.75 mg/L and 0.41 mg/L. The results of water environmental capacity showed that the residual capacity of ammonia nitrogen (NH3-N) and total phosphorus (TP) in the main stream were positive, indicating that the Fenhe River Basin can accommodate the current pollution load in general, but there was an obvious difference in different months of the year. Especially in the wet season, the non-point source (NPS) pollution problem in the midstream and downstream was more prominent, resulting in a high-capacity consumption rate. It showed that in Taiyuan, Jinzhong, and Linfen Yuncheng in Shanxi Province, should be wary of non-point source pollution. In addition, the water environmental capacity of different units also varied greatly. The capacity consumption of the Taiyuan Section in the midstream was the highest, which mainly occurred in the wet season. The negative values of the residual capacity of NH3-N and TP reached the highest, −131.3 tons/month and −12.1 tons/month. Moreover, the capacity consumption downstream also reached 21–40% of the whole year in the wet season. In addition to the impact of NPS pollution in the wet season, due to the impact of point source pollution, units 8, 9, and 10 downstream had high negative residual capacity in the dry season, especially in January and February. The construction of a SWAT model based on control units and the further analysis of dynamic water environment capacity could provide technical support for Fenhe River Basin management to realize accurate pollution control.
Groundwater Potentiality of Wadi Fatimah, Western Saudi Arabia: Geophysical and Remote Sensing Integrated Approach
Authors: Alshehri Fahad , Abdelrahman Kamal
Published: May 2023

To detect groundwater-bearing potential zones in Wadi Fatimah, western Saudi Arabia, geophysical data from three profiles of two-dimensional electrical resistivity tomography (ERT) and remote sensing data were gathered, integrated, and evaluated. The DEM and slope maps indicate that Wadi Fatimah has a high potential to store great amounts of groundwater. The maximum elevations range from 0 to 933 m, with an average elevation of 466 m AMSL. The amount of surface water that infiltrates into the ground is affected by the slope. Rainwater can be collected in low-sloped areas and percolate into the subsurface, replenishing groundwater. In the study area, the slope ranged from 0° to 38°. The slopes of Wadi Fatimah ranged from 0° to 9.1°, with highlands having slopes ranging from 9.1° to 38°. Wadi Fatimah has a high stream density. Furthermore, because it is unconfined, the groundwater-bearing zone reaches the ground surface and recharges continuously during the rainy season. The drainage density is 0.433 km/km2, which is considered normal for coarse drainage. Lithology, infiltration capacity, and topographic relief all have an impact on drainage texture. Because of the basement rocks’ low slope, a coarse drainage texture of 0.059 was calculated, indicating additional groundwater recharge from precipitation. Moreover, based on the 2D inversion results of the ERT data, Wadi Fatimah’s unconfined aquifer has a high potential for groundwater. This aquifer is distinguished by a zone of low resistivity (less than 100 Ω.m) and a depth of up to 50 m below the ground surface. This aquifer is underlain by the weathered/fractured and/or fresh basement rocks. Wadi Fatimah basin is recharged by rainfall creating a promising or strategic area for groundwater supply for future planning and urbanization projects in surrounding areas.
Fish Beta Diversity Patterns across Environmental Gradients in 63 European Shallow Lakes: Effects of Turbidity, Nutrient Enrichment, and Exotic Species
Authors: Menezes Rosemberg Fernandes , Svenning Jens-Christian , Fu Hui , De Meester Luc , Lauridsen Torben Linding , Søndergaard Martin , Conde-Porcuna José María , Jeppesen Erik
Published: May 2023

The beta diversity among lakes is affected by natural environmental sorting, dispersal constraints, and anthropogenic disturbances. We hypothesized that fish beta diversity would increase towards lower latitudes and be higher in less disturbed lakes at within-region scale, but environmental disturbances could affect these patterns due to community homogenization or heterogenization (e.g., gain of exotic species) among lakes. We used generalized dissimilarity modeling to assess the relative importance of geographic distance, climate, and environmental heterogeneity on fish beta diversity across Denmark, Belgium/The Netherlands, and Spain. We also tested whether differences in beta diversity changed between lake types (e.g., clear vs. turbid lakes and lakes with vs. without exotics fish) within-region and across latitude. Beta diversity increased from Denmark to Spain and geographic distance and climate variability were the main drivers of community change across latitude, but the rate of change varied between lake types. At the within-region scale, factors such as turbidity, lake size, and presence of exotics had varying impacts on beta diversity (i.e., increasing, decreasing, or no effect) across the three regions. Our findings suggest that understanding the effects of environmental disturbances on beta diversity requires consideration of both biogeographic and local factors.
High-School Athletes’ Knowledge, Attitudes, and Perceptions on Doping: The Cyprus Sport-School Study
Authors: Tsivitanidou Olia , Christodoulides Efstathios , Petrou Michael
Published: May 2023

Doping constitutes one of the main problems in sports. The importance of sociological research on doping is widely accepted. However, such studies in Cyprus are scarce. The purpose of this study was twofold; first, it aimed to examine the knowledge about doping and the attitudes and perceptions towards sports and doping of high-school student athletes in Cyprus; and second, it aimed to explore whether the knowledge about doping and attitudes and perceptions towards sports and doping vary among student athletes with different characteristics (gender, nationality, engagement with team vs. individual sport, and grade level). The participants of this study were 164 high-school student athletes (16.6 ± 0.9 years old) who study in sports high schools in Cyprus, out of whom 106 were males (65.6%) and 57 (34.8%) females. Data were collected through the use of a questionnaire that was anonymously completed by the participants. A quantitative approach was used for analyzing the data. Descriptive statistics were calculated (i.e., mean, SD, and total scores for knowledge), and non-parametric tests (Mann–Whitney, Kruskal–Wallis) were employed, for comparing responses among different athlete groups on their knowledge, attitudes, and perceptions of doping. The findings reveal that most of the participants lack basic knowledge on doping issues. In terms of their attitudes and perceptions, most of the participants considered doping a serious problem in sports while demonstrating mostly negative attitudes towards doping. Statistically significant differences were found to exist in terms of knowledge among students of different nationalities and high-school grade levels. Also, statistically significant differences were found to exist in terms of attitudes and perceptions towards sports and doping among students of different genders and sport categories (individual vs. team), while differences were also found to exist among students of different nationalities in relation to their attitudes towards sports. The findings have implications for policymaking and educational practices, with the most prevalent need being to design and implement training programs to raise awareness among young athletes about critical features of doping and sports.
Innovation in the hospitality industry
Authors:   Graduate School of Management of the Russian Economic University. G. V. Plekhanova, Yakovleva D. M.
Published: May 2023

Currently, the provision of hotel services is a rapidly developing and promising segment of the service sector, in which competition is growing rapidly. When providing a service, the manufacturer has two goals: to satisfy the needs of the consumer and to maximize profits. In the hospitality industry, it is no longer possible to achieve any of these goals without innovation or innovation. The article discusses the types of innovations and, in particular, the creation of smart hotels
Labor tourism and types of international migration
Authors:   Plekhanov Russian University of Economics, Musavarova N. M.
Published: May 2023

European immigration as a whole has become a factor that seriously affects not only the internal socio-political and socio-economic climate in countries, but also undermines the unity and stability of European communities. The challenges of modern migration threaten the national identity of countries. The relevance of issues related to labor tourism has been steadily increasing in recent years.
Perancangan Sistem Rekam Medis Berbasis Web Pada Klinik Azila Aesthetic Dental Care Kota Jambi
Authors: Alysia Ayu , Rohaini Eni , B M. Riza Pahlevi
Published: May 2023

Klinik Azila Aesthetic Dental Care Kota Jambi masih dilakukan dengan pencatatan maupun pembuatan laporan data rekam medis. laporan data pasien, dan laporan data dokter. Untuk itu diperlukannya manajemen agar kegiatan pengolahan data-data pada Klinik Azila Aesthetic Dental Care Kota Jambi bisa menjadi lebih baik dengan cara memanfaatkan sistem yang terkomputerisasi dimana kegiatan ini dapat mempermudah pengolahan data-data yang dibutuhkan, sehingga kinerja pada Klinik Azila Aesthetic Dental Care Kota Jambi akan menjadi lebih baik lagi. Tujuan dari penelitian ini adalah menganalisis sistem yang sedang berjalan untuk mengatasi permasalahan Klinik Pergigian Azira Estetika dengan merancang sistem pencatatan medis berbasis web pada Klinik Perawatan Gigi Estetika Azira Kota Jambi. Metode pengembangan sistem menggunakan model waterfall. Implementasi penelitian ini menggunakan bahasa pemrograman PHP dan MySQL DBMS untuk membuat aplikasi pengolahan data yang diharapkan dapat mempermudah dalam pengolahan dan pelaporan data.

Kata Kunci : Perancangan, Teknik Informatika,  Rekam medis, Klinik Perawatan Gigi, Pasien
PELATIHAN PENGELOLAAN KEUANGAN KELUARGA PADA KELOMPOK USAHA BERSAMA (KUBE) MEGA BUANA DESA TANGKIT BARU
Authors: Ayuveranika Ayuveranika , Prasasti Laura , Masgo Masgo
Published: May 2023

Pengelolaan keuangan keluarga (pribadi) juga sama pentingnya dengan pengelolaan keuangan usaha. Berawal dari pengelolaan keuangan pribadi menjadikan para pelaku UMKM mahir dan mudah dalam melakukan pengelolaan keuangan usahanya. Kebanyakan pelaku UMKM menerapkan manajemen uang saku dalam kehidupan sehari-hari tanpa memisahkan uang pribadi dan uang usahanya. Ketidaktepatan pengelolaan keuangan membuat maraknya pinjaman online Ilegal digandrungi dan ramai dipergunakan seakan menjadi alternatif solusi dari permasalahan pengelolaan keuangan. Banyaknya pinjaman online ilegal dengan berbagai syarat sederhana yang menawarkan solusi permasalahan hidup ditengah pandemi ini akan membuat para peminjamnya terjerat. Melalui PKM ini, pelaku UMKM dalam hal ini Kelompok Usaha Bersama (KUBE) Mega Buana akan diberikan pelatihan yang bertujuan untuk menambah pengetahuan tentang cara mengelola keuangan keluarga demi masa depan yang sejahtera dan waspada pinjaman online ilegal. Metode yang dipakai dalam kegiatan ini adalah: 1) pemberian materi mengenai pengelolaan keuangan keluarga, 2) pemberian materi mengenai waspada pinjaman online illegal, 3) simulasi games terkait materi, 4) praktek pengelolaan keuangan keluarga.
Sistem Pendukung Keputusan Pemilihan Employee of The Month Menggunakan Metode SAW Pada PCJL Jambi
Authors: Najuantah Putra , Roestam Rusdianto
Published: May 2023

Employee of The Month is a program for best employee selection based on HSE criteria on PCJL – Jambi, most of the process performed manually which spending a lot of time to complete. Author conducted research as an effort to solve the problem by analyzing and designing a prototype of Decision Support System (DSS) utilized Simple Additive Weighting (SAW) method. Expected, by the design of this system will be a useful solution for the process and shorten the implementation time of the program.
Complicações periestomais de maior ocorrência em cidade do interior de São Paulo
Authors: Brizante Nathália Helena Caetano , Pietrafesa Gisele Acerra Biondo , Da Silva Simone Albino , De Camargo Eliana Anunciato Franco , Siviero Ivana Maria Passini Sodré
Published: May 2023

Estoma consiste em uma abertura artificial realizada por um procedimento cirúrgico emergencial ou planejado, ligando um órgão interno ao meio externo por uma exteriorização de parte do sistema respiratório, digestório ou urinário e recebem o nome de acordo com o órgão que serão feitas, nesse trabalho foram abordados os estomas de eliminação, ou seja, colostomias, ileostomias e as urostomias. Pacientes estomizados recebem insumos do serviço de saúde para contribuir com a qualidade de seu estoma, mas nem todos os serviços possuem o suporte necessário para o cuidado especializado para sua pele periestomal. Diante de tal fato, esta pesquisa teve como objetivo detectar as complicações periestomais de maior ocorrência do paciente ostomizado, através do instrumento Escore DET® com posterior análise estatística dos dados. Observou-se que a população estudada é composta por mulheres de 66 anos ±12, casadas e aposentadas, com dois salários-mínimos e a complicação mais frequente foi a dermatite com baixo Score Det®. Conclui-se que o serviço referência abordado orienta e acole seus pacientes de forma efetiva mostrando a necessidade de um profissional qualificado e a importância do mesmo na qualidade de vida do paciente.
Desempenho de plantas de soja submetida a diferentes níveis de palhada e seu impacto sobre os atributos físicos do solo
Authors: Dallmann Maicon Mascarello , Machado Rodrigo Pagel , Klaus Matheus Schneider , Müller João Guilherme , Pedó Tiago , Barbosa Benhur Schwartz
Published: May 2023

Este estudo objetivou avaliar o desempenho da cultivar de soja 3605 Intacta 2 XTEND submetida a diferentes níveis de palhada em cobertura e seu impacto sobre os atributos físicos do solo. Foi avaliado o percentual de emergência de plântulas à campo, submetidas há doses de 0, 2, 4 e 6 toneladas de matéria seca por hectare. Bem como o percentual de plântulas sobreviventes após 40 dias de emergência (DAE). Durante o ciclo fisiológico da planta foi avaliado também a altura de plantas e seus componentes de produtividade, como número de plantas por metro quadrado, número de vagens por planta, grãos por vagem e número de nós por planta. Após a colheita dos grãos, foi realizado em laboratório o peso de mil grãos (PMS) estabilizado a 14% de umidade. As amostras de solo foram coletadas na camada de 0,00 a 0,10 metros, com o auxílio de anéis volumétricos. Posteriormente, estas amostras foram encaminhadas para o laboratório de Física do solo da Faculdade de Agronomia Eliseu Maciel. As análises físicas foram realizadas com a finalidade de mensurar a macroporosidade, microporosidade, porosidade total e densidade do solo. Nas condições deste estudo se observou que as diferentes doses de cobertura sobre o solo foram capazes de influenciar a emergência a campo, persistência e altura de plantas de soja. Os atributos físico-estruturais avaliados não foram sensíveis as variáveis avaliadas. Para os atributos avaliados, a dose de seis toneladas de matéria seca por hectare foi a que apresentou os melhores resultados, aumentando a produtividade da cultura.
Uma revisão integrativa sobre a Colangite Biliar Primária
Authors: Rocha Marcos Oliveira Lima , Freitas Lucas Nunes de , Figueiredo Filho Renato Aguiar , Alves Vanessa Araújo , Toledo Giovanna Xavier , Dos Santos Daniel Henrique Santiago Leon , Valente Guilherme da Costa , Valente Marcela da Costa , Caverzan Mayara Regina Rodrigues Alves , Chaves Victória Luiza Ferrao , Franco João Pedro Faria , Guedes João Vitor de Queiroz , Dos Santos Sâmia Souza , Bueno Gabriella Moreira , Lorensini Maria Eduarda Lopes , Martins Rafaela Angela , Molina Pedro Henrique Barbozane , Albuquerque Victor Cunha de , Vieira Thaís ribeiro , Veras Ana Luisa Lopes Callou , Scherr Jessica Torres , Sales Diego Onilton Costa , Nunes Vinícius Mendes , Da Costa Júlio Cesar Brito , Alencar Emmanuella Bruno
Published: May 2023

A colangite biliar primária, um novo nome para a cirrose biliar primária, é uma doença colestática de etiologia autoimune e representa a primeira causa de colestase intra-hepática. Caracteriza-se pela destruição de pequenos dutos biliares ligados à infiltração de linfócitos, com prevalência de 10 a 40 por 100.000 habitantes no mundo. Este estudo teve como objetivo refletir sobre novas informações a respeito da colangite biliar primária. Para isso, foi realizada uma revisão integrativa de literatura, selecionando artigos publicados nas bases de dados Medical Literature Analysis and Retrieval System Online e Literatura Latino-americana e do Caribe em Ciências da Saúde. A partir da análise qualitativa dos dados, obteve-se como conclusão as seguintes descobertas: A PBC é um problema de saúde raro e mal diagnosticado; não há conhecimento ainda sobre as razões da predominância dessa da CBP em mulheres, resposta à terapêutica, distribuição geográfica e mortalidade entre sexos; os casos dessa doença são assintomáticos; a qualidade de vida dos pacientes é comprometida com o agravamento dos casos, onde apresentam inicialmente sinais de prurido (20 a 70% dos casos) e fadiga (entre 50% a 78% dos pacientes); exames de biópsica hepática podem ser tranquilamente substituídos por testes não-invasivos, em análises de rotina de bioquímica hepática; a possiblidade de diagnosticar a PBC pode ser diagnosticada partindo de fatores biológicos exclusivos que indicam a presença de anticorpos anti-mitocondriais e uma elevação da fosfatase alcalina. No entanto é quase possível que o PBC seja soronegativo; a etiologia da CBP não sendo encontra clara, sendo o tratamento difícil; em caso de tratamento, utiliza-se mais ursodesoxicólico, ácido biliar hidrofílico natural que bloqueia a síntese hepática do colesterol, estimulando a síntese de ácidos biliares e restaurando o equilíbrio entre esses.
Memoria oral de las leyendas de la ciudad de Mira de la provincia del Carchi y sus implicaciones en la sociedad local moderna
Authors: Arboleda Jordán Darío Gabriel
Published: May 2023

La investigación busca determinar las implicaciones de la memoria oral de la ciudad de Mira de la provincia del Carchi, Ecuador, en su sociedad actual. Se emplea un enfoque cualitativo, etnográfico al dialogar y convivir con la comunidad, con dos grupos de informantes, los usuarios del Programa de Apoyo para el Adulto Mayor, para conocer los aspectos originarios sobre la memoria oral de las leyendas de Mira y de un segundo grupo comprendido por estudiantes de los años superiores de los dos colegios de la ciudad, para tener el enfoque de la generación actual y poder contrastar dos puntos de vista.
Como resultado, se observa que la nueva generación está al tanto de su memoria oral y con ello de sus leyendas y tradiciones, que en esencia no han cambiado con el pasar del tiempo; dichos coloquiales, costumbres, hábitos y comportamientos que fueron iniciados por generaciones anteriores. Se determina que es importante mantener viva la tradición y memoria, misma que se considera parte esencial de la sociedad mireña actual y una manera de proyectarse a un futuro inminente lleno de cambios permanentes.
Se concluye que se puede determinar un punto inicial para generar nuevas alternativas de conservación y difusión de la memoria oral de un pueblo.