bluuebunny/crossref_metadata_2025 huggingface dataset:
SSBAS-InSAR: A Spatially Constrained Small Baseline Subset InSAR Technique for Refined Time-Series Deformation Monitoring
Authors: Yu Zhigang , Zhang Guanghui , Huang Guoman , Cheng Chunquan , Zhang Zhuopu , Zhang Chenxi
Published: September 2024

SBAS-InSAR technology is effective in obtaining surface deformation information and is widely used in monitoring landslides and mining subsidence. However, SBAS-InSAR technology is susceptible to various errors, including atmospheric, orbital, and phase unwrapping errors. These multiple errors pose significant challenges to precise deformation monitoring over large areas. This paper examines the spatial characteristics of these errors and introduces a spatially constrained SBAS-InSAR method, termed SSBAS-InSAR, which enhances the accuracy of wide-area surface deformation monitoring. The method employs multiple stable ground points to create a control network that limits the propagation of multiple types of errors in the interferometric unwrapped data, thereby reducing the impact of long-wavelength signals on local deformation measurements. The proposed method was applied to Sentinel-1 data from parts of Jining, China. The results indicate that, compared to the traditional SBAS-InSAR method, the SSBAS-InSAR method significantly reduced phase closure errors, deformation rate standard deviations, and phase residues, improved temporal coherence, and provided a clearer representation of deformation in time-series curves. This is crucial for studying surface deformation trends and patterns and for preventing related disasters.
DETR-ORD: An Improved DETR Detector for Oriented Remote Sensing Object Detection with Feature Reconstruction and Dynamic Query
Authors: He Xiaohai , Liang Kaiwen , Zhang Weimin , Li Fangxing , Jiang Zhou , Zuo Zhengqing , Tan Xinyan
Published: September 2024

Optical remote sensing images often feature high resolution, dense target distribution, and uneven target sizes, while transformer-based detectors like DETR reduce manually designed components, DETR does not support arbitrary-oriented object detection and suffers from high computational costs and slow convergence when handling large sequences of images. Additionally, bipartite graph matching and the limit on the number of queries result in transformer-based detectors performing poorly in scenarios with multiple objects and small object sizes. We propose an improved DETR detector for Oriented remote sensing object detection with Feature Reconstruction and Dynamic Query, termed DETR-ORD. It introduces rotation into the transformer architecture for oriented object detection, reduces computational cost with a hybrid encoder, and includes an IFR (image feature reconstruction) module to address the loss of positional information due to the flattening operation. It also uses ATSS to select auxiliary dynamic training queries for the decoder. This improved DETR-based detector enhances detection performance in challenging oriented optical remote sensing scenarios with similar backbone network parameters. Our approach achieves superior results on most optical remote sensing datasets, such as DOTA-v1.5 (72.07% mAP) and DIOR-R (66.60% mAP), surpassing the baseline detector.
Assessment of the Antioxidant Potential of Blackthorns and Hawthorns: Comparative Analysis and Potential Use in Ruminants’ Nutrition
Authors: Oancea Alexandra-Gabriela , Saracila Mihaela , Vlaicu Petru Alexandru , Varzaru Iulia , Untea Arabela Elena , Dragomir Catalin
Published: September 2024

The food industry is intensifying its effort to enrich food composition in various nutrients through animal feeding, but these challenges can be limited by the costly feed resources, water scarcity, and pesticide pollution, making it crucial to explore alternative feedstuffs with fewer requirements. Blackthorns and hawthorns are characterized by their rich phytochemical and antioxidant profiles, suggesting their potential to enhance the performance of ruminants though the supply of bioactive substances. Our study revealed their rich composition of micronutrients; hawthorns showed a remarkable amount of polyunsaturated fatty acids (57.23 g FAME/100 g total FAME), particularly omega-3 and omega-6, while blackthorn presented higher concentration of monounsaturated fatty acids, specifically oleic acid (56.99 g FAME/100 g total FAME). In terms of lipo-soluble antioxidants, blackthorn exhibited higher levels of xanthophyll and vitamin E (123.83 mg/kg DM), including its isomers (alpha, gamma, and delta). Concerning the water-soluble antioxidants, hawthorns showed elevated composition of the total content of flavonoids and polyphenols, comparing with blackthorn. Moreover, hawthorns showed a high antioxidant capacity, as assessed through DPPH, ABTS, and TAC analyses. In terms of the scavenging capacity of blackthorn and hawthorn against superoxide radicals, blackthorn had higher radical scavenging potential against superoxide radicals, compared to hawthorn.
Which Dimensions Are Related to Populist Attitudes: An Educational View Based on a Systematic Literature Review
Authors: Soares Ricardo , Malafaia Carla , Ferreira Pedro D.
Published: September 2024

In the last decade, we have witnessed increasing knowledge production on populism at the level of individuals. However, the systematization of these studies’ conclusions is still scarce. There is also little research on the relationship between populism and education. Based on a systematic literature review, this article contributes to this by first focusing on what studies have revealed about the relationship between populist attitudes and socioeconomic, political, emotional characteristics and media-related preferences. Based on predefined criteria and a double-screening process, our literature search led to the selection of 68 studies focused on populist attitudes. The analysis of these articles enables us to understand that populist attitudes (i) are influenced by socioeconomic characteristics; (ii) have a nuanced relationship with politics; (iii) are driven by emotional dimensions; and (iv) are associated with diverse views about the media and media consumption preferences. We discuss the main findings of this systematic literature review and point out possible educational responses to individual populist standpoints according to their various causes, particularly in terms of the role of political and media education.
Nuclear Matter and Finite Nuclei: Recent Studies Based on Parity Doublet Model
Authors: Kong Yuk-Kei , Kim Youngman , Harada Masayasu
Published: September 2024

In this review, we summarize recent studies on nuclear matter and finite nuclei based on parity doublet models. We first construct a parity doublet model (PDM), which includes the chiral invariant mass m0 of nucleons together with the mass generated by the spontaneous chiral symmetry breaking. We then study the density dependence of the symmetry energy in the PDM, which shows that the symmetry energy is larger for smaller chiral inavariant mass. Then, we investigate some finite nuclei by applying the Relativistic Continuum Hartree–Bogoliubov (RCHB) theory to the PDM. We present the root-mean-square deviation (RMSD) of the binding energies and charge radii, and show that m0=700 MeV is preferred by the nuclear properties. Finally, we modify the PDM by adding the isovector scalar meson a0(980), and show that the inclusion of the a0(980) enlarges the symmetry energy of the infinite nuclear matter.
Novel Flexible Pressure Sensor with Symmetrical Structure Based on 2-D MoS2 Material on Polydimethylsiloxane Substrate
Authors: Deng Shaoxiong , Li Feng , Cai Mengye , Jiang Yanfeng
Published: September 2024

Flexible pressure sensors can be widely utilized in healthcare, human–computer interaction, and the Internet of Things (IoT). There is an increasing demand for high-precision and high-sensitivity flexible pressure sensors. In response to this demand, a novel flexible pressure sensor with a symmetrical structure composed of MoS2 and PDMS is designed in this paper. Simulation is conducted on the designed flexible pressure sensor. Its piezoresistive effect is analyzed, and the influence of the cavity structure on its sensitivity is investigated. Additionally, a fully symmetrical Wheatstone bridge composed of the flexible pressure sensor is designed and simulated. Its symmetrical structure improves the temperature stability and the sensitivity of the sensor. The structure can be used to convert pressure changes into voltage changes conveniently. It indicates that the sensor achieves a sensitivity of 1.13 kPa−1 in the micro-pressure range of 0–20 kPa, with an output voltage sensitivity of 3.729 V/kPa. The designed flexible pressure sensor exhibits promising potential for applications in wearable devices and related fields, owing to its high sensitivity and precision.
Einstein Aggregation Operator Technique in Circular Fermatean Fuzzy Environment for MCDM
Authors: Aruchsamy Revathy , Velusamy Inthumathi , Dhandapani Prasantha Bharathi , Radwan Taha
Published: September 2024

An Ethernet cable enables users to connect their electronic devices, such as smartphones, computers, routers, laptops, etc., to a network that permits them to utilize the internet. Additionally, it transfers broadband signals among connected devices. Wi-Fi is tremendously helpful with small, handheld gadgets, but if capacity is required, cable Ethernet connectivity cannot be surpassed. Ethernet connections typically work faster than Wi-Fi connections; they also tend to be more flexible, have fewer interruptions, can handle problems rapidly, and have a cleaner appearance. However, it becomes complicated to decide upon an appropriate Ethernet cable. The circular Fermatean fuzzy set (∘FF), an extension of the interval-valued Fermatean fuzzy set(IVFFS) for two dimensions, provides a comprehensive framework for decision-making under uncertainty, where the concept of symmetry plays a crucial role in ensuring the balanced and unbiased aggregation of criteria. The main objective of this investigation was to select one of the best Ethernet cables using multi-criteria decision-making (MCDM). We employed aggregation operators (AOs), such as Einstein averaging and geometric AO, to amalgamate cable choices based on predefined criteria within the ∘FF set environment. Our approach ranks Ethernet cable options by evaluating their proximity to the ideal choice using ∘FF cosine and ∘FF dice similarity measures to ∘FF Einstein-weighted averaging aggregation and geometric operators. The effectiveness and stability of our suggested method are guaranteed by performing visualization, comparison, and statistical analysis.
Intuitionistic Fuzzy Sequential Three-Way Decision Model in Incomplete Information Systems
Authors: Shi Jie , Liu Qiupeng , Shi Chunlei , Lv Mingming , Pang Wenli
Published: September 2024

As an effective method for uncertain knowledge discovery and decision-making, the three-way decisions model has attracted extensive attention from scholars. However, in practice, the existing sequential three-way decision model often faces challenges due to factors such as missing data and unbalanced attribute granularity. To address these issues, we propose an intuitionistic fuzzy sequential three-way decision (IFSTWD) model, which introduces several significant contributions: (1) New intuitionistic fuzzy similarity relations. By integrating possibility theory, our model defines similarity and dissimilarity in incomplete information systems, establishing new intuitionistic fuzzy similarity relations and their cut relations. (2) Granulation method innovation. We propose a density neighborhood-based granulation method to partition decision attributes and introduce a novel criterion for evaluating attribute importance. (3) Enhanced decision process. By incorporating sequential three-way decision theory and developing a multi-level granularity structure, our model replaces the traditional equivalent relation in the decision-theoretic rough sets model, thus advancing the model’s applicability and effectiveness. The practical utility of our model is demonstrated through an example analysis of “Chinese + vocational skills” talent competency and validated through simulation experiments on the UCI dataset, showing superior performance compared to existing methods.
Stacking Monotone Polytopes
Authors: Ahn Hee-Kap , Lee Seung Joon , Yoon Sang Duk
Published: September 2024

This paper addresses the problem of computing the optimal stacking of two monotone polytopes P and Q in Rd. A monotone polytope in Rd is defined as a polytope whose intersection with any line parallel to the last coordinate axis xd is connected, and the stacking of P and Q is defined as a translation of Q, such that “Q touches P from above”. To evaluate the stack, we use three different scoring criteria: (1) the height of the stack, (2) the maximum pointwise distance along the xd-axis, and (3) the volume between P and Q. We propose exact algorithms to compute the optimal stacking for each scoring criterion.
Achieving the Best Symmetry by Finding the Optimal Clustering Filters for Specific Lighting Conditions
Authors: Hrytsyk Volodymyr , Borkivskyi Anton , Oliinyk Taras
Published: September 2024

This article explores the efficiency of various clustering methods for image segmentation under different luminosity conditions. Image segmentation plays a crucial role in computer vision applications, and clustering algorithms are commonly used for this purpose. The search for an adaptive clustering mechanism aims to ensure the maximum symmetry of real objects with objects/segments in their digital representations. However, clustering method performances can fluctuate with varying lighting conditions during image capture. Therefore, we assess the performance of several clustering algorithms—including K-Means, K-Medoids, Fuzzy C-Means, Possibilistic C-Means, Gustafson–Kessel, Entropy-based Fuzzy, Ridler–Calvard, Kohonen Self-Organizing Maps and MeanShift—across images captured under different illumination conditions. Additionally, we develop an adaptive image segmentation system utilizing empirical data. Conducted experiments highlight varied performances among clustering methods under different luminosity conditions. This research enhances a better understanding of luminosity’s impact on image segmentation and aids the method selection for diverse lighting scenarios.
Research on Rock Energy Constitutive Model Based on Functional Principle
Authors: Lv Hongmiao , Yang Xiaochen , Yu Yue , Liu Wenbo
Published: September 2024

The essence of rock fracture can be broadly categorized into four processes: energy input, energy accumulation, energy dissipation, and energy release. From the perspective of energy consumption, the failure of rock materials must be accompanied by energy dissipation. Dissipated energy serves as the internal driving force behind rock damage and progressive failure. Given that the process of rock loading and deformation involves energy accumulation and dissipation, the rock constitutive model theory is expanded by incorporating energy principles. By introducing the dynamic energy correction coefficient, according to the law of the conservation of energy, the total energy exerted by external loads on rocks is equal to the energy dissipated through the dynamic energy inside the rocks. A new type of energy constitutive model is established through the functional principle and momentum principle. To validate the model’s accuracy, a triaxial compression test was conducted on sandstone to examine the stress–strain behavior of the rock during the failure process. A sensitivity analysis of the parameters introduced into the model was conducted by comparing the model results, which helped to clarify the innate laws of significance of these parameters. The results indicated that the energy model more accurately captures the non-linear mechanical behavior of sandstone under high-stress loading conditions. The model curve fits the test data to a high degree. The fitting curve was basically consistent with the changing trend of the test curve, and the correlation coefficients were all above 0.90. Compared with other models, the model based on the energy principle not only accurately reflects the rock’s stress–strain curve, but also reflects the energy change law of rock. This has reference value for the safety analysis of rock mass engineering under loading conditions and aids in the development of anchoring and support schemes. The research results can fill in the blanks that exist in the energy method in terms of rock deformation and failure and provide a theoretical basis for deep rock engineering. Moreover, this research can further improve and extend the rock mechanics research system based on energy.
Thermal Behaviour of Different Land Uses and Covers in the Urban Environment of the Spanish Mediterranean Based on Landsat Land Surface Temperature
Authors: Montón Chiva Enrique , Quereda Sala José
Published: September 2024

Previous research has found higher temperature trends at urban observatories. This study examines in depth the features of the urban environment, the thermal behaviour of land use and land cover, and the changes that have taken place in five urban areas of the Spanish Mediterranean. The CORINE Land Cover database was used to delimit the primary land use land cover (LULC) and its changes between 1990 and 2018. Once this had been established, land surface temperatures (LSTs) between 1985 and 2023 were retrieved from the Landsat database available on the Climate Engine website. There has been a significant advance in artificial land uses, which have become the main uses in the urban areas in Valencia and Alicante. An analysis of the primary land cover showed the greatest thermal increase in artificial surfaces, especially in the industrial, commercial, and transport units that are common on their outskirts, without exception in any urban area. The results are less clear for urban fabrics and agricultural areas due to their diversity and complexity. The density of vegetation is a key factor in the magnitude of the UHI, which is higher in the urban areas with more vegetated agriculture areas, therefore showing lower LST than both industrial units and urban fabrics. Another important conclusion is the role of breezes in limiting or eliminating the strength of the UHI. Sea breezes help to explain the monthly variation of UHIs. Both bodies of water and areas of dense tree vegetation provided the lowest LST, a fact of special interest for mitigating the effects of heat waves in increasingly large urban areas. This study also concludes the different effect of each LULC on the temperatures recorded by urban observatories and enables better decision-making when setting up weather stations for a more detailed time study of the urban heat island (UHI).
K103N, V106M and Y188L Significantly Reduce HIV-1 Subtype C Phenotypic Susceptibility to Doravirine
Authors: Reddy Nikita , Papathanasopoulos Maria , Steegen Kim , Basson Adriaan Erasmus
Published: September 2024

Doravirine (DOR) is a non-nucleoside reverse transcriptase inhibitor (NNRTI) with efficacy against some NNRTI-resistant mutants. Although DOR resistance mutations are established for HIV-1 subtype B, it is less clear for non-B subtypes. This study investigated prevalent NNRTI resistance mutations on DOR susceptibility in HIV-1 subtype C. Prevalent drug resistance mutations were identified from a South African genotypic drug resistance testing database. Mutations, single or in combination, were introduced into replication-defective pseudoviruses and assessed for DOR susceptibility in vitro. The single V106M and Y188L mutations caused high-level resistance while others did not significantly impact DOR susceptibility. We observed an agreement between our in vitro and the Stanford HIVdb predicted susceptibilities. However, the F227L mutation was predicted to cause high-level DOR resistance but was susceptible in vitro. Combinations of mutations containing K103N, V106M or Y188L caused high-level resistance, in agreement with the predictions. These mutations are frequently observed in patients failing efavirenz- or nevirapine-based first-line regimens. However, they are also observed in those failing a protease inhibitor-based second-line regimen, as we have observed in our database. Genotypic drug resistance testing is therefore vital prior to the initiation of DOR-based treatment for those previously exposed to efavirenz or nevirapine.
Evaluating the Effects of Viruses on Eastern Indigo Snakes (Drymarchon couperi) with Gastric Cryptosporidiosis
Authors: Bogan James E. , Ossiboff Robert J. , Childress April L. , Wellehan James F. X. , Mason Alexandra K.
Published: September 2024

A breeding colony of wild-origin eastern indigo snakes (EISs, Drymarchon couperi) that is part of a reintroduction program has been impacted by gastric cryptosporidiosis. Gastric cryptosporidiosis is an insidious disease of squamates caused by an apicomplexan protozoan, Cryptosporidium serpentis. Viral coinfections have been implicated as possible immunosuppressant agents that allow for disease progression and both adenovirus and reovirus have been implicated in allowing for the progression of gastric cryptosporidiosis during coinfection in other snake species. Molecular (PCR) screening for adenoviruses and reoviruses was performed for both C. serpentis-positive and C. serpentis-negative EIS within the breeding colony. No reoviruses were detected in the collection. Adenoviruses were present in 11/68 (16.2%) EISs evaluated, and there was no significant difference between C. serpentis-positive and C. serpentis-negative EISs (p = 0.196). There was no significant difference in adenovirus status between C. serpentis-positive EISs’ lifespan (p = 0.191) or survival rates (p = 0.823). These findings suggest that the presence of the adenoviruses found in this study does not contribute to the formation or progression of gastric cryptosporidiosis in EISs.
Evaluating the Use of Sacran, a Polysaccharide Isolated from Aphanothece sacrum, as a Possible Microbicide for Preventing HIV-1 Infection
Authors: Matsuda Kouki , Kariya Ryusho , Maeda Kenji , Okada Seiji
Published: September 2024

Since combination antiretroviral therapy (cART) was introduced to treat human immunodeficiency virus type-1 (HIV-1)/acquired immunodeficiency syndrome (AIDS), the AIDS mortality rate has markedly decreased, and convalescence in individuals with HIV has improved drastically. However, sexual transmission has made HIV-1 a global epidemic. Sacran is a megamolecular polysaccharide extracted from cyanobacterium Aphanothece sacrum that exhibits numerous desirable characteristics for transdermic applications, such as safety as a biomaterial, a high moisture retention effect, the ability to form a film and hydrogel, and an anti-inflammatory effect. In this study, we evaluated the anti-HIV-1 effects in sacran as a barrier to HIV-1 transmission. Sacran inhibited HIV-1 infection and envelope-dependent cell-to-cell fusion. Moreover, we used a Transwell assay to confirm that sacran inhibited viral diffusion and captured viruses. The synergistic effects of sacran and other anti-HIV infection drugs were also evaluated. HIV-1 infections can be reduced through the synergistic effects of sacran and anti-HIV-1 drugs. Our study suggests using sacran gel to provide protection against HIV-1 transmission.
Zooming in and out: Exploring RNA Viral Infections with Multiscale Microscopic Methods
Authors: Lyu Cheng-An , Shen Yao , Zhang Peijun
Published: September 2024

RNA viruses, being submicroscopic organisms, have intriguing biological makeups and substantially impact human health. Microscopic methods have been utilized for studying RNA viruses at a variety of scales. In order of observation scale from large to small, fluorescence microscopy, cryo-soft X-ray tomography (cryo-SXT), serial cryo-focused ion beam/scanning electron microscopy (cryo-FIB/SEM) volume imaging, cryo-electron tomography (cryo-ET), and cryo-electron microscopy (cryo-EM) single-particle analysis (SPA) have been employed, enabling researchers to explore the intricate world of RNA viruses, their ultrastructure, dynamics, and interactions with host cells. These methods evolve to be combined to achieve a wide resolution range from atomic to sub-nano resolutions, making correlative microscopy an emerging trend. The developments in microscopic methods provide multi-fold and spatial information, advancing our understanding of viral infections and providing critical tools for developing novel antiviral strategies and rapid responses to emerging viral threats.
Antibody Persistence and Risk of COVID-19 Infection: Insights from Modeling
Authors: Coudeville Laurent , Konate Eleine , Simon Tabassome , de Lamballerie Xavier , Patterson Scott , El Guerche-Séblain Clotilde , Launay Odile
Published: September 2024

Background: In this post hoc exploratory study of the APHP-COVIBOOST trial (NCT05124171), we used statistical modeling to describe the evolution of neutralizing antibody (nAb) titers over time, asses its impact on SARS-CoV-2 infection, and explore potential differences between three booster vaccine formulations (D614, B.1.351, and BNT162b2). Methods: Antibody titers were measured for 208 adult participants at day 28, 3 months, and 6 months using a microneutralization assay against different Omicron subvariants. We developed four specific Bayesian statistical models based on a core model, accounting for vaccine-specific antibody decline, boosting of nAb for breakthrough infection, and risk of infection according to nAb levels. The model findings were cross-verified using another validated microneutralization assay. Results: The decrease in nAb titers was significantly lower for the B.1.351 vaccine than for the other booster formulations. An inverse relationship was found between risk of infection upon exposure and nAb levels. With Omicron BA.1 data, these results translated into a positive relative vaccine efficacy against any infection over 6 months for the B.1.351 vaccine compared to the BNT162b2 (31%) and D614 (21%) vaccines. Conclusions: Risk of infection decreased with increasing nAb titers for all vaccines. Statistical models predicted significantly better antibody persistence for the B.1.351 booster formulation compared to the other evaluated vaccines.
Differences in PCV13 Recommendation Practices between Pediatric Care Providers and Primary Care Providers in China: A Cross-Sectional Survey of Behavior and Social Drivers
Authors: Dang Yuan , Wang Lin , Liu Yuming , Wang Boyan , Deng Huiwen , Ye Can , Wang Chunping , Huang Yangmu
Published: September 2024

Objectives: This study examines the recommendation behaviors and influencing factors for the 13-valent Pneumococcal Conjugate Vaccine (PCV13) among 3579 Chinese healthcare workers (HCWs), including 1775 pediatric care providers (Peds-PCPs) and 1804 primary care providers (PCPs). Data were collected from May to July 2023 through a national cross-sectional survey using a structured questionnaire, distributed across hospitals providing pediatric services in five provincial-level administrative divisions. Methods: The sociodemographic data, vaccine knowledge, and recommendation practices were analyzed using Pearson’s chi-square test, Wilcoxson rank-sum test, and multivariate logistic regression. Results show that while PCPs are more likely to recommend PCV13, vaccine hesitancy persists among Peds-PCPs. Logistic regression revealed that higher influenza vaccination intention, salary, vaccine consultation frequency, familiarity with immunization, work ethic, and flexible schedules positively impacted HCWs’ recommendation behavior. Results: Factors influencing Peds-PCPs’ recommendations include vaccine training (OR: 1.470, CI: 1.049–2.509), safety recognition (OR: 1.986, CI: 1.163–3.391), concern over rejection (OR = 1.274, CI: 1.076–1.508) and vaccine cost (OR = 1.203, CI: 1.023–1.414). For PCPs, influencing factors were the perceived susceptibility of children to pneumonia (OR = 2.185, CI: 1.074–4.445), acceptance of herd immunity (OR: 1.717, CI: 1.101–2.677), and belief that parents with better family conditions are more likely to accept vaccine recommendations (OR = 1.229, CI: 1.024–1.477).  Conclusion: This survey underscores the need for tailored interventions to address differing perceptions and enhance confidence in the safety and efficacy of vaccines among HCWs, particularly Peds-PCPs.
Combined Toxic Effects and Mechanisms of Chloroacetic Acid and N-Nitrosodimethylamine on Submerged Macrophytes
Authors: Huang Kaili , Huang Haiqing , Huang Xuhui , Lao An , Zheng Zheng , Wu Hanqi
Published: September 2024

Disinfection by-products (DBPs) such as chloroacetic acids (CAAs) and N-Nitrosodimethylamine (NDMA) are prevalent pollutants in surface waters, particularly with the increasing use of chlorine-based disinfectants. The entry of these DBPs into water bodies may increase accordingly, posing ecological risks to aquatic life. To assess the toxic effects of CAAs and NDMA on submerged macrophytes, Vallisneria natans was exposed to different concentrations of CAAs (1.0, 10.0, and 100.0 μg L−1) and NDMA (0.1, 1.0, and 10.0 μg L−1). A RI value of <1 indicates that simultaneous exposure to CAAs and NDMA can produce an antagonistic effect. Both CAAs and NDMA adversely affect the photosynthetic system of plants. In the NDMA treatment group, chlorophyll a content decreases with increasing concentration, accounting for 96.03%, 60.80%, and 58.67% of the CT group, respectively. Additionally, it effectively triggers the plant’s antioxidant response, with significant increases in SOD, POD, and GSH levels. Among these, the combined treatment group AN2 (10 + 1 μg L−1) showed the most significant change in SOD activity, reaching 3.57 times that of the CT group. Ultrastructural changes also revealed stress responses in leaf cells and damage to organelles. Furthermore, metabolomics provided insights into the metabolic responses induced by CAAs or NDMA in V. natans leaves, where the composition and metabolism of lipids, fatty acids, cofactors and vitamins, amino acids, nucleotides, and some antioxidants were regulated, affecting plant growth. This study provides preliminary information for the ecological risk assessment of submerged plants by complex contamination with the disinfection by-products CAA and NDMA.
Study on Valley Shrink Deformation of the High Arch Dam with Large Faults near Dam Area during Initial Impoundment
Authors: Liu Yaolai , Wang Haijiang , Yan Long , Yu Jiyuan , Zeng Wei , Xu Weiya
Published: September 2024

Valley shrink deformation is a common physical and mechanical phenomenon during the reservoir operation of high arch dams. This phenomenon is particularly significant in the initial stages of impoundment and can severely impact the operational safety of the arch dam. This study focuses on the arch dam under construction in the upstream of the Lancang River. By considering the secondary structural planes F115 and F111 at the dam site, a numerical model of valley shrink deformation was established. The study investigates the characteristics of valley shrink deformation during the initial impoundment phase of the arch dam. The results show that during the impoundment process, the valley slopes on both sides of the reservoir shrink towards the center of the valley. The deformation on the right bank is greater than that on the left bank due to the influence of the F115 fault. When the elevation is lower than the exposure position of F115, the deformation on the right bank increases with elevation; when it is higher than this position, the deformation decreases. On the left bank, due to the influence of F111 and the seepage field, the deformation value increases first and then decreases with the increase in elevation. After the water level stabilizes, the deformation rate decreases and approaches zero. This research results provide a reference for addressing valley shrink deformation issues during the initial impoundment of the arch dam.
Characterization of Escherichia coli Isolates in Recreational Waters: Implications for Public Health and One Health Approach
Authors: Gomes Lúcia , Bordalo Adriano A. , Machado Ana
Published: September 2024

Escherichia coli is commonly found in the gastrointestinal tract of warm-blooded animals and is routinely used as an indicator of fecal contamination in recreational waters. While most E. coli are commensal, some can harbor pathogenic potential, posing a major public health risk. This study investigated the sources of fecal contamination in recreational waters through the characterization of E. coli isolates. Presumptive E. coli detection was performed using selective and differential media, confirmed by PCR, and followed by characterization. E. coli were detected in all studied aquatic environments, with most isolates belonging to phylogenetic groups D1 (24%, non-human mammals) and B1 (20%, birds), suggesting animals as primary contaminants sources. Among E. coli isolates, 35% were identified as diarrheagenic E. coli (DEC), with enterotoxigenic (34%) and enterohemorrhagic (26%) being the most prevalent pathotypes. Furthermore, 85% of all isolates and 86.5% of DEC isolates exhibited multi-drug resistance, with highest rates displayed in phylogenetic subgroups A1 (human and non-human mammals) and B1. This study highlights the importance of the One Health approach encompassing a human, animal, and environmental holistic health perspective to effectively manage public health strategies and ensure the safety of beachgoers.
Temas educacionais includentes: Vulnerabilidades sociais, escolares e as políticas em educação e saúde
Authors: Neide Covic Amália , de Menezes Maria Aparecida
Published: September 2024

Este livro compõe a Coleção Educação e Saúde, elaborada por professores, estudantes e egressos do Programa de Pós-Gradução Educação e Saúde na Infância e na Adolescência da Universidade Federal de São Paulo (Unifesp). Como parte da Coleção, o Conselho Científico também aprovou a publicação deste livro, que compõe a Série Teses e Dissertações Premiadas. São trabalhos realizados e defendidos no Programa de Pós-Graduação que foram indicados a prêmio pelas respectivas bancas e, após avaliação ad hoc por pesquisadores da Unifesp e de outras instituições (professores e estudantes), ficaram nos primeiros lugares desta classificação. A tese e a dissertação mais bem votadas no PPG recebem também o prêmio organizado pela Câmara de Pós-Graduação da Escola de Filosofia, Letras e Ciências Humanas da Unifesp. Este volume possibilitará aos professores da Educação Básica, profissionais da área da Saúde, estudantes das diferentes licenciaturas e Pedagogia, entrar em contato com conteúdo da Educação Especial relacionados com a corporeidade e a escolarização das crianças e dos adolescentes gravemente enfermos.
العلاقة بين نظم العمل عالية الأداء وسلوك مشاركة المعرفة: الدور الوسيط لرأس المال المعرفي
Authors: منطاش محمد عبدالحكيم , مناع يوسف حامد
Published: September 2024

هدفت هذه الدراسة إلى اختبار أثر نظم وممارسات العمل عالية الأداء بوصفها متغيراً مستقلاً متعدد الأبعاد، ورأس المال المعرفي بوصفه وسيطاً تفاعلياً على سلوك مشاركة المعرفة بين العاملين في البنوك التجارية الخاصة والمشتركة العاملة في جمهورية مصر العربية. وتوصلت الدراسة من خلال استقصاء 373 موظفا بالبنوك محل الدراسة، ومن خلال استخدام أسلوب المربعات الصغرى الجزئية PLS، إلى وجود علاقة خطية معنوية بين نظم وممارسات العمل عالية الأداء، وبين سلوك مشاركة المعرفة. وكذلك تم التوصل إلى معنوية العلاقة المباشرة بين رأس المال المعرفي، ومشاركة المعرفة، بالإضافة إلى أثر رأس المال المعرفي، في العلاقة بين نظم العمل عالية الأداء، وسلوك مشاركة المعرفة.
تعامل الكويتيين مع الوقت: دراسة تتابعية مقارنة
Authors: الوقيان عادل عبدالله , النغيمش محمد إبراهيم
Published: September 2024

تهدف الدراسة إلى الكشف عن أبعاد تعامل الكويتيين مع الوقت، والتغيرات التي طرأت مقارنة بالدراسة المرجعية (2003). استخدمت الدراسة المنهج المسحي لتجميع البيانات من عينة طبقية (الجنس والمحافظة) قوامها 730 مفردة من المواطنين الكويتيين. بينت النتائج المستخلصة من التحليل الوصفي وتحليل العوامل اختلافات عدة لامتلاك الكويتيين لأدوات ضبط الوقت وتنظيمه، وعادات تنفيذ أنشطة اعتيادية وتأثرها بالتكنولوجيا. مال معظم الكويتيين للحاضر، وتدني قلقهم بشأن المستقبل على الرغم من الظروف السياسية والاقتصادية السلبية، وتبين أن معظمهم هم أحاديو الزمن (monochronic). تهم النتائج المسوقين والمخططين؛ لكونها تقدم مقارنة علمية بين حقبتين زمنيتين، وبخاصة وأن معظم المنتجات والخطط الحكومية مرتبطة بعامل الوقت.
أثر تطبيق الإدارة على أساس القيمة على العوائد السوقية لأسهم الشركات المدرجة في مؤشر CAC40
Authors: هشام بحري
Published: September 2024

تهدف هذه الدراسة إلى اختبار أثر تطبيق الإدارة على أساس القيمة على العوائد السوقية لأسهم الشركات المدرجة في مؤشر CAC40، بالتركيز على عينة تشتمل على 60 مشاهدة سنوية، وذلك خلال الفترة 2001 - 2010. وتبين نتائج دراسة الحدث و نموذج الانحدار وجود أثر إيجابي ذي دلالة إحصائية لتطبيق الإدارة على أساس القيمة على العوائد السوقية للأسهم.
نموذج القياس الاقتصادي الكلي للاقتصاد الكويتي: محاكاة وتحليل السياسات
Authors: السلمان عبدالله عيسى
Published: September 2024

على غرار معظم دول العالم، قامت الكويت بمحاولات متعددة لتقدير النماذج الاقتصادية الكلية الواسعة النطاق لاقتصادها الخاص. وتستند هذه النماذج بالكامل على بيانات السلاسل الزمنية السنوية. والهدف من هذه الورقة هو تطوير نموذج اقتصادي كلي قياسي لاقتصاد الكويت بناءً على بيانات السلاسل الزمنية الفصلية. إن إمكانية الوصول إلى بيانات الناتج المحلي الإجمالي الفصلية أمر حيوي للتحليلات الاقتصادية وعملية صنع القرار. حيث يوفر الناتج المحلي الإجمالي الفصلي فهمًا واسعًا للأنشطة الاقتصادية العامة، وخاصة فيما يتعلق بتقلبات دورة الأعمال ونقاط التحول الاقتصادية. والغرض من هذه الورقة هو تحديد أول نموذج اقتصادي كلي كويتي ربع سنوي وتقديره باستخدام بيانات ربع سنوية من الربع الأول من عام 1995 إلى الربع الرابع من عام 2012. وتضع هذه الورقة الأساس التجريبي للنماذج الاقتصادية الكلية. لقد قمت بتجميع وتوسيع وتحسين مجموعة بيانات مالية كلية كويتية على أساس ربع سنوي. وأستخدم طريقة التحسين لتحويل الناتج المحلي الإجمالي من أساس سنوي إلى تردد ربع سنوي. أخذت عملية بناء النموذج النقدي الكلي ربع السنوي في الاعتبار الحجة النظرية والعملية المتعلقة بإدراج متغيرات مختلفة ودورها في التنبؤ بالمتغيرات الاقتصادية الكلية الرئيسية. كانت نتائج التقدير باستخدام GMM ذات أهمية كبيرة وتشير الاختبارات التشخيصية الرئيسية إلى أن النموذج محدد جيدًا. وفقًا لذلك، تم اختبار النموذج للتنبؤ ربع السنوي قصير المدى خلال الفترة من الربع الأول من عام 2013 إلى الربع الرابع من عام 2015. تم إجراء تقييمات لتأثيرات النموذج على مجموعة من الصدمات التي غالبًا ما تم فحصها في محاكاة السياسات وخلصت إلى أن ناتج النموذج كان متسقًا مع النظرية الاقتصادية الكلية، وخاصة فيما يتعلق بالتأثيرات قصيرة المدى / طويلة المدى.
دراسة تطبيقية في الدوافع والمحددات لممارسات إعادة شراء الأسهم: حالة المملكة العربية السعودية
Authors: الغامدي سالم علي
Published: September 2024

تهدف هذه الدراسة إلى تحديد الدوافع والعوامل المحددة لممارسات إعادة شراء الأسهم في المملكة العربية السعودية. جمعت البيانات من خلال استبيان شمل مجموعتين: المدراء الماليين وأعضاء هيئة التدريس الأكاديمية، وحللت 122 استجابة باستخدام اختبار مان-ويتني. تكشف النتائج أن الدوافع الرئيسية الخمسة لإعادة الشراء في المملكة العربية السعودية هي: "تحسين أرباح الشركة لكل سهم"، و"زيادة سعر السهم"، و"إرسال إشارة لثقة الإدارة في المستوى المستقبلي للأرباح وأسعار الأسهم"، و"إزالة مساهم معين"، و"تقليل التكاليف الإدارية للملكية الصغيرة من خلال إزالة المساهمين الأقلية". بالإضافة إلى ذلك، تم اقتراح أربعة عوامل محتملة كالتالي: "حوكمة الشركات الجيدة"، و"حجم الشركة"، و"هيكل الملكية"، و"خبرة الإدارة". تعتبر هذه الورقة من أولى الدراسات التي تتناول نشاط إعادة شراء الأسهم في المملكة العربية السعودية، مما يضيف أدلة جديدة من دولة نامية إلى الأدبيات المتزايدة، وبالتالي يساهم في المعرفة بممارسات إعادة شراء الأسهم. تحمل النتائج السابقة آثاراً مثيرة للاهتمام قد تكون مفيدة للمستثمرين والإدارة والهيئات التنظيمية والمشرعين في محاولاتهم لفهم حدوث ممارسات إعادة شراء الأسهم وحل مشكلات الوكالة. قد تقيّد الظروف الاقتصادية والثقافية المحددة في المملكة العربية السعودية إمكانية تعميم هذه الدراسة.
PENGARUH KUALITAS PELAYANAN DAN PROMOSI PENJUALAN TERHADAP LOYALITAS KONSUMEN (STUDI PADA PRODUK BY.U DI KOTA BANDUNG)
Authors: Rishyadi Girda Aulia , Anang Muftiadi  , Tetty Herawaty
Published: September 2024

This study aims to observe the effect of service quality and sales promotion on consumer loyalty in by.U users in Bandung City. The method used in this study is quantitative descriptive. Through the distribution of questionnaires to obtain data using a Likert scale that is processed and tested. The population in this study were consumers in Bandung City who made purchases by.U so that the population is unknown. The sample was taken using non-probability sampling, namely purposive sampling. The sample size was calculated using the Lemeshow formula to obtain 100 respondents. The results of the study and hypothesis testing in this study are that service quality and sales promotion have a positive and very significant effect on consumer loyalty with a sig. 0.000. Service quality has a positive and very significant effect on consumer loyalty with a sig. 0.001. Sales promotion has a positive and significant effect on consumer loyalty with a sig. 0.020. The results of this study indicate that the R square coefficient value is 44.9%. Data processing and testing were carried out using validity and reliability tests, correlation tests, multiple linear regression, determination coefficient analysis, T tests and F tests.
ANALISIS PERAMALAN PERMINTAAN BENSIN PERTAMAX MENGGUNAKAN METODE TIME-SERIES FORECAST PADA PT. ZINDAN UTAMA JAYA PADA TAHUN 2024
Authors: Muhammad Zindan Taufikurrahman  , Ria Arifianti  , Raden Marsha Aulia Hakim
Published: September 2024

Gas Station PT. Zindan Utama Jaya is a company engaged in the marketing of fuel and gas located in Cirebon City. This study aims to enable the company to see the prediction of the amount of fuel demand in the next period so that the company can prepare fuel stock in this case Pertamax fuel, and the company can also prepare future marketing strategies seen from the forecast results. The research method used is quantitative with a time-series method that uses historical data on gasoline sales at PT. Zindan Utama Jaya for one year as the main data and its implementation with the dimensions of time series, behavior of demand, and causes of demand behavior. In its calculations, this study uses the moving average method, exponential smoothing, and adjusted exponential smoothing with error calculations using MAD, MSE, and MAPE. The results of this study indicate that the most effective calculation method calculated from the smallest error is the exponential smoothing method with α = 0.1.
GENES BRCA1 E BRCA2 COMO BIOMARCADORES EM CARCINOMAS MAMÁRIOS CANINOS – REVISÃO DE LITERATURA
Authors: Goneli Wichert Teodoro Tamires , Coppini de Lima Heloísa , Laufer Amorim Renée
Published: September 2024

Os carcinomas mamários caninos são a neoplasia mais comumente diagnosticada em cadelas não castradas, e são a segunda neoplasia mais comumente encontrada dentre todas as neoplasias em cães. Assim como observado em tumores de mama em humanos, os tumores mamários malignos em cadelas possuem uma incidência de alta morbidade e mortalidade nos animais acometidos. Além da semelhança epidemiológica com dados encontrados na literatura humana sobre neoplasias mamárias, os tumores mamários caninos também possuem alta similaridade histopatológica e de fisiopatogenia. Os carcinomas mamários caninos possuem desenvolvimento multifatorial, os quais podem estar associados a raça, idade, status de castração do animal e, também, fatores genéticos. Os genes BRCA1 e BRCA2, quando mutados, têm grande importância na formação de tumores de mama em humanos e cães. Estes são genes com função importante na manutenção da estabilidade genômica. Devido a alta semelhança desta enfermidade entre a espécie canina e humana, é possível estudar  a utilização de biomarcadores humanos para medicina veterinária. Mutações nos genes BRCA1 e BRCA2 são alvos de uso como biomarcadores bem definidos e estabelecidos para tumores de mama e de cérvix em mulheres, o seu uso tem relevância na medicina veterinária, assim como é observado na literatura humana. Com esta revisão, ressalta-se que é notório o potencial do uso dos genes BRCA1 e BRCA2 como biomarcadores para carcinomas mamários caninos a partir de estudos já existentes, porém, ainda são necessários mais estudos abordando esta temática.
PROFILE OF THE MAIN DISEASES IN WILD ANIMALS TREATED AT THE VETERINARY HOSPITAL OF CENTRO UNIVERSITÁRIO ANHANGUERA IN LEME, SÃO PAULO, BRAZIL
Authors: DUARTE COSTA THAYSSA , Nayara Abdala Ferreira Karen , Tambeli Anobi Bruna , De Souza Camilla , Guerra Segura Julio
Published: September 2024

The retrospective study addressed the casuistry of wild animals treated at the Veterinary Hospital of Centro Universitário Anhanguera in Leme, São Paulo, Brazil. The research analyzed data from the medical history of all wild animals treated between 2009 and 2019, whether free-living or captive, belonging to Brazilian and exotic fauna species, with the aim of understanding the profile and main occurrences related to these animals. Medical records, medical reports, and information about the treated species were reviewed, including diagnoses, treatments, and clinical outcomes. The study revealed a wide variety of treated species, including 21 mammals (41.1%), 17 birds (33.4%), and 13 reptiles (25.5%), totaling 51 species. Dermatological diseases, musculoskeletal conditions, respiratory illnesses, gastrointestinal diseases, intoxications, poisoning, oncological disorders, and theriogenological conditions were observed in all species. Notably, avian species presented musculoskeletal diseases, respiratory illnesses, and other pathologies, while reptiles and mammals showed a higher incidence of dermatological issues. The institution's partnerships with other animal protection organizations facilitated the flow of care and specialized assistance. Additionally, some endangered species were identified, highlighting the veterinary hospital's role in local wildlife conservation, and the university's responsibility to raise awareness among the population to seek professionals who can handle and care for these animals.
Assessing the Carbon Footprint of Gaziantep University's Sporium Building: A Step Towards Environmental Awareness and Climate Action in Turkey
Authors: Seçkiner Serap , Şahinalp Belkıs Şevval
Published: September 2024

There are many human activities in our developing, growing, and easier world. The priority in reducing the effects of human resources activities on the environment is awareness. It is important to measure the direct and indirect effects of humans on the environment to raise awareness and create behavioral change. One of the measurement methods that has been widely used recently is carbon footprint. The gas defined as carbon is a greenhouse gas. Many studies have been carried out to reduce greenhouse gases and raise awareness on this issue. Following these studies, many protocols and agreements were signed, and participating countries made commitments by submitting national contribution declarations within their means to reduce and limit greenhouse gases. Turkey prepared a National Contribution Declaration in 2015 and predicted that it would reduce greenhouse gas emissions by 30% by 2030. In this context, public institutions in Turkey will need to analyze the current situation of their resources and activities within the scope of combating climate change. Within the scope of these situations, it is aimed to calculate the carbon footprint measurement of the Gaziantep University Sporium Building according to the annual natural gas and air conditioning data in Scope 1, electricity and water data in Scope 2, and garbage data in Scope 3.