bluuebunny/crossref_metadata_2025 huggingface dataset:
Adult Attachment and Dehumanization among Chinese College Students: From the Perspectives of Trait Attachment and State Attachment
Authors: Guo Minna , Xu Beibei , Wang Haiyao , Yan Zhihao , Sang Qingsong
Published: June 2024

Current social issues such as bullying, online violence, and local conflicts are all hot topics in the field of psychology, and these phenomena are related to dehumanization, but research on dehumanization from a non-western background has been rare. As a key factor influencing individual behavior, attachment has not been incorporated into the relevant research on dehumanization. Therefore, this study presented empirical evidence to explore the relationship between adult attachment (both trait and state) and dehumanization, the samples were college students from China. Study 1 (N = 705) used latent profile analysis to verify the four types of adult attachment(i.e., preoccupied , secure, fearful, and dismissiving)and found differences in the impact of different attachment types on dehumanization. Study 2(N = 281) activated secure attachment, and found differences in the impact of three types of state attachment (i.e., security, avoidance, and anxiety)on dehumanization, as well as the positive predictive effects of security and avoidance on dehumanization. This research originally proved the relationship between adult attachment and dehumanization, providing new perspectives for exploring the psychological mechanisms behind dehumanization, and offering new paths for the prevention and intervention of dehumanization.
Digital Communication: From School to Society
Authors: Nobre Ana , Mouraz Ana
Published: June 2024

In this work we offer a broad overview of the combination of digital communication, education and society and show the link between learning with digital and awakening to the future. We trace the effects of digital communication acquired during postgraduate training at the Universidade Aberta of Portugal by professionals from African Portuguese-speaking countries. From a methodological point of view, the study identifies former postgraduate students at the Universidade Aberta (Public University of Higher Education) over the last five years who were given a comprehensive questionnaire aimed at finding out how the training they underwent contributed to gauging their current levels of application of digital communication in their current profession. We found that digital communication in learning and its diversification acts as a lever for personal and professional development following the acquisition of academic knowledge.
Optimization of Real-Time Spatial Mapping in Architectural Visualization: A Comparison Among Mixed Reality Devices
Authors: Do Tam Le Phuc , Sanhae Kang , Ugli Jumamurod Aralov Farhod , Mirzaevich Narzulloev Oybek , Hwang Leehwan , Dongsu Yi , Lee Seunghyun
Published: June 2024

Recent advancements in communication technology have catalyzed the widespread adoption of realistic content, with augmented reality (AR) emerging as a pivotal tool for seamlessly inte-grating virtual elements into real-world environments. In construction, architecture, and urban design, the integration of mixed reality (MR) technology enables rapid interior spatial mapping, providing clients with immersive experiences to envision their desires. The rapid advancement of MR devices, or devices that integrate MR capabilities, offers users numerous opportunities for enhanced entertainment experiences. However, to support designers at a high level of expertise, it is crucial to ensure the accuracy and reliability of the data provided by these devices. This study explores the potential of utilizing spatial mapping within various methodologies for surveying architectural interiors. The objective is to identify optimized spatial mapping procedures and determine the most effective applications for their use. Experiments were conducted to evaluate the interior survey performance, using HoloLens 2, iPhone 13 Pro for spatial mapping, and photogrammetry. The findings indicate that HoloLens 2 is most well-suited for the tasks exam-ined in the scope of experiments. Nonetheless, based on the acquired parameters, the author also proposes approaches to apply the other technologies in specific real-world scenarios.
Variation in the Health Status of the Mediterranean Gorgonian Forests: The Synergistic Effect of Marine Heat Waves and Fishing Activity
Authors: Canessa Martina , Bertolotto Rosella , Betti Federico , Bo Marzia , Dagnino Alessandro , Enrichetti Francesco , Toma Margherita , Bavestrello Giorgio
Published: June 2024

Over the past thirty years, the red gorgonian Paramuricea clavata in the Mediterranean Sea has faced increasing threats, including heat waves and human activities such as fishing and diving. Epibiosis on damaged gorgonian colonies is generally used as an indirect indication of stressed conditions. The density and height of P. clavata and the percentage of colonies affected by epibiosis and entangled in lost fishing gear were studied to investigate the phenomenon and its trend over time in the Ligurian Sea. Analyses were based on transects collected during ROV campaigns between 2015 and 2022 at depths of 33-90 meters. A strong correlation was observed between fishing effort in the study area and the level of epibiosis. Maximal percentages of colonies affected by epibiosis and entanglement were recorded at depths of 50-70 meters. Temporally, marine heat waves before 2019 were identified as the primary cause of damage to P. clavata. The decrease in epibiosis percentages after 2019, despite the 2022 heat wave, may be due to a quick recovery ability of the populations and a reduction in fishing activities during the COVID-19 lockdown in 2020. Long-term monitoring programs are essential to understand the changes in marine benthic communities exposed to different stressors.
Machine Learning Techniques for Coffee Classification: A Comprehensive Review of Scientific Research
Authors: de C. Motta Isabela V. , Vuillerme Nicolas , Pham Huy-Hieu , Pereira de Figueiredo Felipe Augusto
Published: June 2024

In the realm of agribusiness, transformative shifts are underway, propelled by the growing demands and expanding scales of grain production. This evolution calls for a critical reevaluation of the existing paradigms in coffee production and marketing paradigms, with a specific focus on integrating Artificial Intelligence (AI). This work aims to review, synthesize, and summarize the available data regarding how Machine Learning (ML) has been used to detect and classify characteristics in coffee beans and leaves. For this purpose, a comprehensive literature review of the most significant research contributions describing the application of AI for advanced classification techniques in coffee agriculture has been carried out. Our analysis suggests that implementing AI technologies allows the classification of coffee, encompassing various attributes such as maturity, roast intensity, disease identification, flavor profiles, and overall quality. More largely, this technological advancement holds the potential to revolutionize coffee farming by providing producers and agricultural specialists with sophisticated tools to enhance production efficiency, minimize costs, and improve the accuracy and confidence of their decision-making processes.
Modelling the Dynamics of a Wheeled Mobile Robot System Using a Hybridisation of Fuzzy Linear Quadratic Gaussian
Authors: Finecomess Sairoel Amertet , Gebresenbet Girma , Alwan Hassan Mohammed
Published: June 2024

Wheeled mobile robot dynamics and suitable controller design are challenging but rewarding fields of study. By understanding the dynamics of wheeled mobile robots, it could be possible to design suitable hybrid control schemes for wheeled mobile robots. Since hybrid control schemes involve combining individual control methods to create a more effective overall control strategy. This can be done in a variety of ways, such as using fuzzy linear quadratic Gaussian control. We were therefore inspired to create dynamic models and their controller designs for the wheeled mobile robot by examining the dynamics of the wheeled mobile robot. The novelty of the current paper is to hybridize the different control schemes for wheeled mobile robots in order to get better performance. Entire systems models were simulated in a MATLAB/SIMULINK environment. The results obtained for the settling time response by FLQG were 87.1% over LQG; this study compared the effectiveness of current and previous FLQG controllers in external disturbances and found peak amplitude improvements of 71.25%. Therefore, the proposed controller is suitable for use with the wheeled mobile robot.
The Impact of Malnutrition on COPD Outcomes: Role of Mini-Nutritional Assessment (Mna) in Predicting Acute Exacerbations in Patients with Highly Complex COPD and Its Clinical and Prognostic Implications
Authors: Di Raimondo Domenico , Pirera Edoardo , Pintus Chiara , De Rosa Riccardo , Profita Martina , Musiari Gaia , Siscaro Gherardo , Tuttolomondo Antonino
Published: June 2024

Background: Current management of COPD is predominantly focused on respiratory aspects. A multidimensional assessment including nutritional assessment, quality of life and disability provides a more reliable perspective of the true complexity of COPD patients. Methods: Prospective observational study of 120 elderly COPD patients at high risk of acute exacerbations. The Mini-Nutritional Assessment (MNA) was administered in addition to the usual respiratory assessment. The primary outcome was a composite of moderate or severe acute exacerbations during 52 weeks of follow-up. Results: The median MNA Short Form (SF) score was 11 (8-12), 39 participants (32.50%) had normal nutritional status, 57 (47.5%) were at risk of malnutrition and 24 (20%) were malnourished. Our multivariate linear logistic models showed that the MNA score was associated with dyspnea and respiratory symptoms severity assessed by the Modified British Medical Research Council (mMRC) and the COPD Assessment Test (CAT) score, with spirometric variables, in particular with the severity of airflow limitation based on the value of FEV1 and with poorer QoL as assessed by the EQ-5D-3 questionnaire. Cox regression analysis according to nutritional status based on the MNA score showed that COPD participants "at risk of malnutrition" and "malnourished" had a higher risk of moderate to severe acute exacerbations with a hazard ratio (HR) of 3.54 (p=0.002) and 8.20 (p=0.0001), respectively. Conclusion: Our study confirms the importance of assessing nutritional status in elderly COPD patients and its prognostic value.
Timescales of ecological processes, settling, and estuarine transport to create estuarine turbidity maxima: An application of the Peter-Parker Model
Authors: Engel Lilian , Stacey Mark
Published: June 2024

The estuarine exchange flow increases longitudinal dispersion of passive tracers and traps sinking particles, potentially creating an estuarine turbidity maximum (ETM): a localized maximum of suspended particulate matter concentration in an estuary. The ETM can have many implications - dead zones due to increased turbidity or hypoxia from organic matter decomposition, naval navigation challenges, and other water quality problems. Using timescales, we investigate how the interaction between exchange flow and particle sinking leads to ETMs by modeling a sinking tracer in an idealized box model of the Total Exchange Flow (TEF) first developed by Parker MacCready. Results indicate that the balance of particle sinking and vertical mixing is critical to determining ETM size and location. We then focus on the role of ecology in ETM formation through the use of The Peter-Parker Model: a new biophysical model which combines the TEF box model with a Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) model, the likes of which were first developed by Peter J.S. Franks. Detritus sinking rates similarly influence detritus peak concentration and location (an ETM), but detritus ETMs occur in a different location than the sinking tracer due to the influence of the biological factors which create a time lag of about 1 day. Lastly, we characterize the flow of the models with a dimensionless parameter that compares timescales and summarizes the dynamics of the sinking tracer in ETM formation and can be used across systems.
Future Perspectives on the Application of the Oxford Nanopore® MinION™ Sequencer in Cultural Heritage Biodeterioration Studies
Authors: Trovão João , Soares Fabiana
Published: June 2024

The present work provides an updated overview of the application of the Oxford Nanopore® MinION™ sequencer in cultural heritage biodeterioration studies, while also providing a holistic discussion of possible future perspectives for their utilization in this research field. Due to the peculiar characteristics of this device, the last few years have seen the steady rise on the application of this system in a variety of cultural heritage materials, having been useful to understand microbial biodeteriogens diversity and some of their metabolic and biodeteriogenic features. Considering the immense potential for application of this system, this manuscript discusses further possibilities of the technique aiming to help understand critical questions on the cultural heritage biodeterioration area. Its application in various differential contexts, has opened the doors for their putative usage on other interesting sub-areas of research worthy of future investigations, including: biodeteriogens genome and transcriptome analysis, metatranscriptomics, biodeteriorative metabolism studies, inter and intra kingdom interactions analysis, resistome profiling, object history and context studies, in situ applications, bioprospecting and biotechnology.
Arduino-Powered Device for the Study of Talbot-Plateau law: White Perception Beyond the Visual Trichromatic Critical Flicker Fusion Frequency
Authors: Ávila Francisco J.
Published: June 2024

Arduino microcontrollers are being used for a wide range of technological and biomedical applications such as image classification, computer vision, brain-computer interaction and vision experiments. Here I present a new cost-effective mini-device based on RGB LED flicker stimulation for the assessment of polychromatic temporal resolution of visual function. The visual device configuration allows for relative luminance thresholding, mono- and polychromatic critical flicker fusion frequency assessment. The results demonstrate the steady white visual perception of a trichromatic flicker stimulus beyond the critical flicker fusion frequency, as predicted by Talbot´s law for monochromatic stimuli. The trichromatic critical flicker fusion frequency (tFCC) depends on the relative luminance threshold at the light-adaptation level. Finally, wavefront measurements demonstrate that high-order aberrations improve the temporal resolution of visual function.
Diagnosis of Two Unrelated Syndromes of Prader-Willi and Calpainopathy Using Uniparental Disomy and Joint Whole Genome Analysis
Authors: Cuk Mario , Unal Busra , Bevanda Andjela , Hayes Connor P , Walker McKenzie , Abraamyan Feruza , Belužić Robert , Crkvenac Gornik Kristina , Ozretic David , Prutki Maja , Nie Qian , Reddi Honey V. , Ghazani Arezou A.
Published: June 2024

Purpose: Investigation for the co-occurrence of two unrelated genetic disorders of muscular dystrophy and Prader-Willi syndrome (PWS) (OMIM # 176270) using joint whole genome sequencing (WGS). Methods: Trio WGS joint analysis was performed to investigate the genetic etiology in a proband with PWS, prolonged muscular hypotonia associated hyperCKemia, and early-onset obesity. The parents were unaffected. Results: Results showed maternal isodisomy uniparental disomy (UPD) in chromosome 15 expanding from 15q11.2 to 15q22.2, including PWS regions at 15q11.2-15q13. Maternal heterodisomy was detected from 15q22.2 to 15q26.3. A pathogenic variant, NM_000070.3(CAPN3):c.550del (p.Thr184fs), was identified at 15q15.1 in a heterozygous state in the mother that was homozygous in the proband due to maternal isodisomy. Conclusion: This is the first study of the concurrent molecular etiology of PWS and calpainopathy (OMIM # 253600) in the same patient. This report highlights the utility of joint analysis and need for the assessment of autosomal recessive disease in regions of isodisomy in patients with complex and unexplained phenotype.
Solution of Orifice Hollow Cathode Plasma Model Equations by Means of Particle Swarm Optimization
Authors: Coppola Giovanni , Panelli Mario , Battista Francesco
Published: June 2024

Orificed Hollow Cathodes are electric devices necessary for the functioning of common plasma thrusters for space applications. From their reliability mainly depends the success of a spacecraft’s mission equipped by electric propulsion. The development of plasma models is crucial in the evaluation of plasma properties within the cathodes that are difficult to measure due to the small dimensions. Many models, based on non-linear system of plasma equations, have been proposed in the open literature. These are solved commonly by means of iterative procedures. This paper investigates the possibility to solve them by means of Particle Swarm Optimization method. The results of the validation tests confirm the expected trends for all the unknowns; the confidence bound of the discharge current as function of mass flow rate is very narrow (2÷5V), moreover the results match very well the experimental data except at the lowest mass flow rate (0.08mg/s) and discharge current (1A), where the computations underpredict the discharge current to the utmost by 40%; the highest data dispersion regards the plasma density in the emitter region (± 20 % of the average value) and the wall temperatures (± 50K respect to the average values) of orifice and insert; those of the others variables are very tiny.
Chikungunya and Mayaro Viruses Induce Chronic Skeletal Muscle Atrophy Triggered by Pro-inflammatory and Oxidative Response
Authors: Oliveira Lopes da Silva Mariana , Menezes Figueiredo Camila , Leão da Silva Neris Rômulo , Guimarães-Andrade Iris Paula , Gavino-Leopoldino Daniel , Linhares Miler-da-Silva Leonardo , da Maia Valença Helber , Ladislau Leandro , Victorino Felix de Lima Caroline , Meireles Coccarelli Fernanda , Farias Benjamim Claudia , Miranda Iranaia
Published: June 2024

Chikungunya (CHIKV) and Mayaro (MAYV) viruses are arthritogenic alphaviruses that promote an incapacitating and long-lasting inflammatory muscle-articular disease. Despite studies pointing out the importance of skeletal muscle (SkM) in viral pathogenesis, the long-term consequences on its physiology after acute injury and the mechanism of persistence of symptoms are still poorly understood. Combining molecular, morphological, Nuclear Magnetic Resonance Imaging, and histological analysis, we conduct a temporal investigation of CHIKV and MAYV replication in a wild-type mice model, focusing on the impact on SkM composition, structure, and repair in the acute and late phases of infection. We found that viral replication and induced-inflammation promote fast loss of muscle mass and reduction of fibers cross sectional area, by inducing muscle-specific E3 ubiquitin ligases MuRF1 and Atrogin expression, that trigger protein breakdown, resulting in acute SkM fibers atrophy. After temporal reduction of inflammation and clearance of infectious viral particles, SkM atrophy persists until the late phase of infection. The genomic CHIKV and MAYV RNAs were still detected in SkM at the late phase, along with increased levels of chemokines and anti-inflammatory cytokines expression. In agreement with the involvement of inflammatory mediators on induced atrophy, neutralization of TNF and the reduction of oxidative stress using monomethyl fumarate, an agonist of Nrf2, decreases atrogens expression and atrophic fibers, while increasing weight gain in treated mice. Taken together, these data indicate that arthritogenic alphavirus infection could chronically impact body SkM composition and also harm repair machinery, contributing to a better understanding of mechanisms of arthritogenic alphaviruses pathogenesis and with description of potentially new targets of therapeutic intervention.
Geometric Separability of Mesoscale Patterns in Embedding Representation and Visualization of Multidimensional Data and Complex Networks
Authors: Acevedo Aldo , Wu Yue , Traversa Fabio  Lorenzo , Cannistraci Carlo Vittorio
Published: June 2024

Complexity science studies physical phenomena that cannot be explained by the mere analysis of the single units of a system but requires to account for their interactions. A feature of complexity in connected systems is the emergence of mesoscale patterns in a geometric space, such as groupings in bird flocks. These patterns are formed by groups of points that tend to separate from each other, creating mesoscale structures. When multidimensional data or complex networks are embedded in a geometric space, some mesoscale patterns can appear respectively as clusters or communities, and their geometric separability is a feature according to which the performance of an algorithm for network embedding can be evaluated. Here, we introduce a framework for the definition and measure of the geometric separability (linear and nonlinear) of mesoscale patterns by solving the travelling salesman problem (TSP), and we offer experimental evidence on embedding and visualization of multidimensional data or complex networks, which are generated artificially or are derived from real complex systems. For the first time in literature the TSP’s solution is used to define a criterion of nonlinear separability of points in a geometric space, hence redefining the separability problem in terms of the travelling salesman problem is an innovation which impacts both computer science and complexity theory.
Short- and Long-Term Neurobehavioral Effects of the Developmental Exposure to Valproic Acid in Zebrafish
Authors: Ricarte Marina , Tagkalidou Niki , Bellot Marina , Bedrossiantz Juliette , Prats Eva , Gomez-Canela Cristian , Garcia-Reyero Natalia , Raldúa Demetrio
Published: June 2024

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and communication, anxiety, hyperactivity, and restricted interest for specific subjects. In addition to the genetic factors, multiple environmental factors have been related to the development of ASD. Animal models can serve as crucial tools for understanding the complexity of ASD and identifying potential therapeutic strategies. In this study, a chemical model of ASD has been developed in zebrafish by exposing embryos to valproic acid (VPA) from 4 to 48 hours post-fertilization. After the exposure, embryos were transferred to fish water and the effects on behavior and neurotransmitters profile were analyzed at both larval and adult stages. Larvae from VPA-treated embryos showed hyperactivity and decreased visual and vibrational escape responses, as well as an altered neurotransmitters profile, with increased glutamate and decreased acetylcholine and norepinephrine levels. Adults from VPA-treated embryos exhibited impaired social behavior characterized by larger shoal sizes and a decreased interest for their conspecifics. Neurotransmitter analysis revealed a significant decrease in dopamine and GABA levels in the brain. These results support the interest of this model in the study of ASD.
Prosthetic Valve Endocarditis: A Retrospective Cohort Study Conducted at “Dr. Carol Davila” Central Military Emergency University Hospital in Bucharest
Authors: Anton Corina Ioana , Buzilă Cosmin Alexandru , Stanciu Silviu Marcel , Bucurica Sandica , Anghel Daniela , Ștefan Alexia Teodora , Ștefan Ion , Streinu-Cercel Adrian
Published: June 2024

Objective: Evaluation of patients with prosthetic valves who developed infective endocarditis by comparing treatment outcomes in both early- and late-onset IE episodes following prosthetic valve replacement surgery. This study sought to conduct a comprehensive assessment of the efficacy of these methodologies. The insights derived from this assessment will be utilized to enhance the quality of care for individuals with infective endocarditis who have received prosthetic valve replacement surgery.
Results: During the period of investigation (January 2018 - December 2022), 78 patients diagnosed with infective endocarditis (IE) on prosthetic valve were admitted to the Infectious Diseases Department of the "Dr. Carol Davila" Central Military Emergency University Hospital in Bucharest. In 28 cases (35.8%), the onset of PVE occurred within 12 months of surgery (early onset), whereas in 50 patients (64.2%), the onset occurred more than 12 months after surgery (late onset). The mortality rate was 35.9% (53.6% among the early onset patients and 26% among the late-onset patients). Among patients who received surgical and medical therapy, the mortality rate was 29.6%, whereas among those who underwent only medical therapy, a 39.2% mortality rate was reported. According to the extracted data, antibiotic therapy was successful in 72.6% of patients. In contrast, a combination of surgical and drug-based approaches resulted in a cure in 76.1% of the patients. The most common etiological agent was Staphylococcus aureus (38.5%), followed by Enterococcus faecalis (26.9%), and Streptococcus mitis (10.3%). The mortality rate of patients with S. aureus was 29.2%, indicating the severity of this infectious agent.
Conclusions: Prosthetic valve endocarditis (PVE) is a serious condition associated with a high mortality rate both in the short and long term. Regardless of the therapy used, the risk of death remains high. All patients with PVE who survived received effective early treatment, highlighting the need for prophylactic measures.
GoibhniUWE: A Lightweight and Modular Container-Based Cyber Range
Authors: Mills Alan , White Jonathan , Legg Phil
Published: June 2024

Cyberattacks are rapidly evolving both in terms of techniques and frequency, from low-level attacks through to sophisticated Advanced Persistent Threat (APT). There is a need to consider how testbed environments such as cyber ranges can be readily deployed to improve examination of attack characteristics and the assessment of defences. Whilst cyber ranges are not new, they can often be computational expensive, require significant setup and configuration, or may not provide full support for areas such as logging or ongoing learning. In this paper, we propose GoibhniUWE, a container-based cyber range that provides a flexible platform for investigating the full lifecycle of a cyber attack. Adopting a modular approach, users can seamlessly switch out existing, containerised vulnerable services, deploying multiple different services at once allowing for the creation of complex and realistic deployments. The range is fully instrumented with logging capabilities from a variety of sources including Intrusion Detection Systems (IDS), service logging, and network traffic captures. To demonstrate the effectiveness of our approach, we deploy the GoibhniUWE range under multiple conditions to simulate various vulnerable environments, reporting on and comparing key metrics such as CPU and memory usage. We simulate complex attacks which span multiple services and networks, with logging at multiple levels, modelling an Advance Persistent Threat (APT) and their associated Tactics, Techniques, and Procedures (TTPs). We find that even under continuous, active and targeted deployment GoibhniUWE averaged a CPU usage of less than 2 processors and memory usage of less than 4.5 GB.
Examining Dark Triad Traits in Formal Leaders and Their Impact on Employee Workplace Stress: A Comparative Study of Family and Non-Family Businesses
Authors: Pimentel Duarte , Lagarto Sofia , Marques-Quinteiro Pedro
Published: June 2024

This paper aims to explore differences between the perception of dark traits in formal leaders and levels of workplace stress among employees working in family and non-family businesses. Furthermore, we assess if the company nature (family-owned versus non-family-owned) moderates the relationship between the employees' perception of dark triad traits in their formal leaders and their workplace stress levels. The empirical evidence is provided by a sample of 220 Portuguese employees who responded to a questionnaire that included their perceptions of their formal leaders’ dark triad traits and workplace stress measures. All respondents work in small and medium-sized private companies with no management responsibilities and under formal hieratical supervision. The initial ideas that family firms’ employees perceive higher levels of dark triad traits in their formal leaders than non-family firms’ employees and that they also show higher levels of workplace stress than non-family firms’ employees were confirmed. The results also support the notion that higher perceptions of dark triad traits in formal leaders are related with higher levels of workplace stress of employees and that the company nature significantly moderates this relationship. These findings contribute to the research literature by addressing two aspects under-addressed in the comparison between family and non-family firms, while offering insights on the relationship between dark triad traits in formal leaders and workplace stress levels of employees.
Combined Compact Symplectic Schemes for Solving Good Boussinesq Equations
Authors: Lang Zhenyu , Yin Xiuling , Liu Yanqin , Chen Zhiguo , Kong Shuxia
Published: June 2024

Good Boussinesq equations will be considered in this work. First we apply three combined compact schemes to approximate spatial derivatives of good Boussinesq equations. Then three fully discrete schemes are developed based on symplectic scheme in time direction, which are sympletic-structure preserving.Meanwhile, the convergence and conservation of the fully discrete schemes are analyzed. Finally, we present numerical experiments to confirm our theoretical analysis. Both our analysis and numerical test indicate that the fully discrete schemes are efficient in solving the spatial derivative mixed equation.
Association of Hormonal Contraceptives with Depression among Women in Reproductive Age-Groups- a Cross-Sectional Analytic Study
Authors: Sultan Sadia , Bashar MD Abu , Bazhair Rahma M , Abdurahman Doaa O , Alrehaili Renad A , Ennahoui Meimouna E , Alsulaiman Yasmeen S , Alamri Seba D , Mohamed Elgawhara F A
Published: June 2024

Objective-Most women stop using hormonal contraceptives due to changes in their mood. The evidence regarding the association of hormonal contraception with depression shows mixed results. Therefore, we aim to establish the association between the use of hormonal contraception and depressive symptoms. Method- This cross-sectional study was conducted on 326 women of reproductive age using hormonal contraceptives for a week to one year referred to as "hormonal contraceptive (HC) users" (n=165), and those using non-hormonal methods and not using contraceptives referred to as "HC non-users" (n=161). Beck's depression inventory (BDI-II) was used to measure depression. Result-There was no discernible difference in mean Beck's depression inventory score and degree of depression between the two groups. However, individual symptoms of depression such as sadness(p=0.01), reduced libido(p=0.0002) feelings of pessimism (p=0.02), and failure (p=0.003) were found to be significantly high in the HC user group. Conclusion- We conclude that there was no significant difference in mean depression scores between groups. However, few individual symptoms of depression were high in HC users suggesting depression as a potential side effect of hormonal contraceptive use.
A Significance of Endothelial Dysfunction in Long COVID-19 for The Possible Future Pandemic of Chronic Kidney Disease and Cardiovascular Disease
Authors: Yanai Hidekatsu , Adachi Hiroki , Hakoshima Mariko , Katsuyama Hisayuki , Sako Akahito
Published: June 2024

Various symptoms have been reported to persist beyond acute phase of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which is referred as long coronavirus disease 19 (long COVID-19). Over 65 million individuals suffer from long COVID-19. However, the causes of long COVID-19 have been largely unknown. Since long COVID-19 symptoms are observed throughout the body, vascular endothelial dysfunction may be a strong candidate to induce long COVID-19. The angioten-sin-converting enzyme 2 (ACE2), the entry receptor of SARS-CoV-2, is ubiquitously expressed in endothelial cells. We previously found that the risk factors for athero-sclerotic cardiovascular disease (ASCVD) and the history of ASCVD can be the risk for severe COVID-19, suggesting a contribution of pre-existing endothelial dysfunction to severe COVID-19. Here, we show a significant association of endothelial dysfunction with development of long COVID-19 and show that biomarkers for endothelial dysfunction in patients with long COVID-19 are also crucial players in development of ASCVD. We consider the influence of long COVID-19 on development of chronic kidney disease (CKD) and ASCVD. Furthermore, we suggest the therapeutic interventions for long COVID-19 by considering endothelial dysfunction as the treatment tar-gets for long COVID-19. Such interventions may prevent pandemic of CKD and ASCVD in post COVID-19 era.
Photovoltaic system faults detection using fractional multiresolution signal decomposition
Authors: Lanani A. , Djamai D. , Beddiaf A. , Saidi A. , Abboudi A.
Published: June 2024

Introduction. In this paper, we present an innovative methodology based on fractional wavelets for detecting defects in photovoltaic systems. Photovoltaic solar systems play a key role in the transition to a low-carbon economy, but they are susceptible to various defects such as microcracks, wiring faults, and hotspots. Early detection of these anomalies is crucial to prevent energy losses and extend the lifespan of installations. Novelty of the proposed work resides in its pioneering nature, leveraging a family of fractional wavelets, with a specific emphasis on fractional Haar wavelets. This approach enhances sensitivity in anomaly detection, introducing a fresh and promising perspective to enhance the reliability of photovoltaic installations. Purpose of this study is to develop a defect detection methodology in photovoltaic systems using fractional wavelets. We aim to improve detection sensitivity with a specific focus on low-amplitude defects such as microcracks. Method. Our innovative methodology is structured around two phases. Firstly, we undertake a crucial step of filtering photovoltaic signals using fractional Haar wavelets. This preliminary phase is of paramount importance, aiming to rid signals of unwanted noise and prepare the ground for more precise defect detection. The second phase of our approach focuses on the effective detection of anomalies. We leverage the multiresolution properties of fractional wavelets, particularly emphasizing fractional Haar wavelets. This step achieves increased sensitivity, especially in the detection of low-amplitude defects. Results. By evaluating the performance of our method and comparing it with techniques based on classical wavelets, our results highlight significant superiority in the accurate detection of microcracks, wiring faults, and hotspots. These substantial advances position our approach as a promising solution to enhance the reliability and efficiency of photovoltaic installations. Practical value. These advancements open new perspectives for preventive maintenance of photovoltaic installations, contributing to strengthening the sustainability and energy efficiency of solar systems. This methodology offers a promising solution to optimize the performance of photovoltaic installations and ensure their long-term reliability. References 21, tables 3, figures 10.
Protection of workers against the magnetic field of 330-750 kV overhead power lines when performing work without removing the voltage under load
Authors: Rozov V. Yu. , Reutskiy S. Yu. , Kundius K. D.
Published: June 2024

Problem. One of the acute problems that needs to be solved when performing repair work under voltage on power transmission lines (PTLs) is the protection of workers’ health from high-intensity electromagnetic fields. Goal. The purpose of the work is to develop the methodological foundations for the protection of workers from the magnetic field (MF) of the 330-750 kV PTL during repairing work without removing the voltage and under loading. Methodology. A methodology for calculating the maximum allowable PTL loading factor has been developed. It limits the flux density of the MF in the working area of the power transmission line to the maximum permissible level of sanitary standards for the given period of work at the potential and the minimum thickness of the protective layer between the wires and the worker’s body. Originality. Methodological principles for protecting workers from magnetic fields have been created. They are based on the joint use of the developed method of mode load minimization and the method of increasing the working distance, and the developed method of calculating the maximum allowable loading factor of PTLs. Practical value. The graphic dependence of the maximum allowable loading factor of the PTL is proposed as a function of the required working time and the thickness of the introduced additional protective layer between the wires and the body of the worker. It allows one quickly determines the maximum allowable loading factors to conform the accepted limit-allowable normative level of flux density of MF for various types of PTLs 330-750 kV. References 45, tables 1, figures 10.
Differential Equations TUTORIAL For Lecture and for Practical Exercise
Authors:   Samarkand State University of Architecture and Civil Engineering named after Mirzo Ulugbek, Abduganiyevna Kulmirzayeva Gulrabo , Rizki Muhammad Alvan
Published: June 2024

The textbook is compiled in accordance with the program of the discipline “Differential Equations” (Section - Ordinary Differential Equations). Basic theoretical information and 115 examples of solving typical problems are given, as well as recommendations for studying the discipline. Examples are provided for independent work, 85 examples and 20 questions for self-test, recommended literature.This collection was prepared in accordance with the undergraduate curriculum (Construction) in the subject “Differential Equations” in the Republic of Uzbekistan based on existing state educational standards. 60730500 – Design and operation of water supply and sewerage systems, 60730800 – Road construction (by type of activity), 60710400 – Ecology and environmental protection (by industry sector), 60722500 – Geodesy, cartography and cadastre (by function), 60722800 – Cadastre (by type of activity), 60730300 – Civil engineering: construction of buildings and structures, 60730400 – Construction and installation of engineering communications (according to types) provided for by the undergraduate curriculum, Prepared according to the scientific program.
Sin necesidad de nadie (excepto del algoritmo)
Authors: Nava Becerra Mayra Eréndira , Alvarado García Víctor Manuel
Published: June 2024

Ante las condiciones de complejidad actuales, consideramos fundamental preguntarnos cómo comprender aquello que se pone en marcha bajo la idea de «nueva normalidad», en la formulación de la cotidianidad que supone su campo de instauración. Reconocemos que esa vida cotidiana ha sido expropiada a sus actores, mediante la operación tecnológica más invasiva y homogeneizante que haya operado planetariamente hasta hoy y que condensamos en ese «personaje conceptual» conocido como «algoritmo». La tesis del presente ensayo sostiene que la vida cotidiana en la llamada nueva normalidad es mediada globalmente por el manejo del algoritmo, y en sus efectos constituye la instauración de un proyecto totalitario y altericida de carácter planetario. En este sentido, este escrito tuvo como objetivo reflexionar acerca de la forma en que dicho proyecto altericida subyace a la instauración de una vida encauzada por «el algoritmo» y su pretensión de racionalidad. Se concluye que la actual gobernanza algorítimica y su digitalización consolidan el despojo de la agencialidad humana, lo que coloca la urgencia de indagar en las formas efectivas de intervenir al respecto.
Npbwr1 signaling mediates fast antidepressant action
Authors: Engmann Olivia , Stein Gregor , Aly Janine , Lange Lisa , Manzolillo Annamaria , Riege Konstantin , Brancato Anna , Hubner Christian , Turecki Gustavo , Hoffmann Steve
Published: June 2024

Chronic stress is a major risk factor for depression, a leading cause of disability and suicide. Because current antidepressants work slowly, have common side effects, and are only effective in a minority of patients, there is an unmet need to identify the underlying molecular mechanisms. Here, we reveal the receptor for neuropeptides B and W, Npbwr1, as a key regulator of depressive-like symptoms. Npbwr1 is increased in the nucleus accumbens of chronically stressed mice and postmortem in patients diagnosed with depression. Using viral-mediated gene transfer, we demonstrate a causal link between Npbwr1, dendritic spine morphology, the biomarker Bdnf, and depressive-like behaviors. Importantly, microinjection of the synthetic antagonist of Npbwr1, CYM50769, rapidly ameliorates depressive-like behavioral symptoms and alters Bdnf levels. CYM50769 is selective, well tolerated, and shows effects up to 7 days after administration of a single dose. In summary, these findings drastically advance our understanding of mood and chronic stress and warrant further investigation of CYM50769 as a potential fast-acting antidepressant.
A Fight Against All Odds? The Causal Effects of Perceived Political Efficacy and Protest Repression on Motivation to Engage in Normative and Non-normative Climate Protest
Authors: Dono Marcos , Ayanian Arin , Tausch Nicole
Published: June 2024

Despite increasing concern about climate change and widespread demonstrations demanding urgent action, governments worldwide are failing to meet climate pledges and many have introduced anti-protest laws that limit citizens’ ability to hold them accountable. We investigate the impacts of the political efficacy of climate protests and the risks of protest repression on people’s motivation to engage in both conventional, normative and radical, non-normative pro-environmental collective action. We ran two experiments (totalN = 443) among residents in the UK, where recent legislative changes have severely restricted climate protests. Using fabricated news articles, we manipulated political efficacy and repression in a 2x2 between-subjects design. Our manipulations successfully shifted perceptions of political efficacy and the risks of repression, however they did not produce direct effects on action intentions. Rather, these factors impacted action intentions indirectly by shaping other motives. Specifically, political efficacy exerted a positive indirect effect on normative (but not non-normative) action intentions by shifting people’s beliefs about the value of their own contribution (Study 1) and the likelihood that taking action will strengthen the movement (Study 2). In line with a backlash effect, and suggesting that restrictions on protest could radicalize action, repression exerted a positive indirect effect on both normative and non-normative action intentions by generating moral outrage. Moderation of effects by climate change concern and politicized identity lend further nuance to these findings. Our research provides scarce evidence of the causal effects of efficacy and repression on protest intentions and has implications for mobilization efforts of climate movements.
Mapping Green Communities New Data Resources for Measuring Grassroots Environmental Organizing in Japan
Authors: Temocin Pinar , Fraser Timothy
Published: June 2024

Which communities host the most grassroots resources for activism on energy, environment, and climate policy, per capita? This article introduces a recently developed data resource measuring rates of environmental organizations in every Japanese city over the last two decades. These data were first validated in 2021 against prior measures of environmental organizing and linked to changes in emissions levels (Fraser and Temocin 2021). This paper clears new ground by demonstrating best-use cases for scholars and activists seeking to understand the state of environmental organizing in their city. By detailing in-depth ways to analyze these indices and focusing on case studies based on Kitakyushu and an average city in post-Fukushima Japan, this study aims to encourage a wave of new research testing the relationship between levels of grassroots and professionalized environmental organizing in cities and urban environmental governance outcomes, including solar, wind, emissions, and pollution governance.
Prevalence, patterns, and determinants of vascular complications of type 2 diabetes in a teaching hospital in Addis Ababa, Ethiopia: a cross-sectional study
Authors: Solela Gashaw , Azanaw Henok , Zegeye Hailu , Worku Amare , Leulseged Beza
Published: June 2024

Background
Patients with type 2 diabetes mellitus (T2D) have an increased risk of vascular complications. Despite the rise in the prevalence of T2D and its complications throughout the globe, there is a paucity of data regarding the prevalence and determinants of vascular complications of T2D in Ethiopia. Hence, this study aimed to assess the prevalence, patterns, and determinants of the microvascular and macrovascular complications of T2D among patients attending a teaching hospital in Addis Ababa, Ethiopia.
Methods
A hospital-based cross-sectional study was done by reviewing the electronic medical records of adult patients with T2D attending the general medical and endocrine referral clinics of Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia. SPSS version 25 was used to analyze the data. Descriptive analysis was used to summarize the data on the sociodemographic characteristics, clinical profiles, laboratory investigations, and patterns of vascular complications. Bivariate and multivariate logistic regression models were fitted, and the crude odds ratio (COR) and adjusted odds ratio (AOR), together with the 95% confidence interval (CI), were computed to identify the determinants of vascular complications of T2D.
Results
A total of 272 patients with T2D were included in this study; 50.5% were females, and the mean age was 56.34 ± 12.8 years. The mean glycated hemoglobin (HbA1c) was 7.75 ± 1.91%, and only 48.5% had good glycemic control with a target HbA1c value of < 7%. The majority of patients (62.5%) had diabetes for ≥ 5 years. The overall prevalence of vascular complications was 39%. Microvascular and macrovascular complications were observed in 23.5% and 21% of the patients, respectively. The determinants of microvascular complications were age ≥ 60 years (AOR = 2.25, 95% CI: 1.17, 4.33), diabetes duration of ≥ 5 years (5–10 years [AOR = 3.13, 95% CI: 1.37, 7.18], and > 10 years [AOR = 3.88, 95% CI: 1.66, 9.06], and HbA1c ≥ 7% (AOR = 2.21, 95% CI: 1.14, 4.28). The odds of developing macrovascular complications were higher with diabetes duration of ≥ 5 to 10 years (AOR = 2.89, 95% CI: 1.37, 6.12) as compared with diabetes duration of < 5 years.
Conclusions
This study demonstrated a high prevalence of vascular complications in patients with T2D. Older age, prolonged duration of diabetes, and poor glycemic control were the determinants for the development of microvascular complications, while prolonged duration of diabetes was the determining factor for the development of macrovascular complications. Hence, targeted initiatives are required to enhance the prevention and early detection of vascular complications of T2D in resource-limited countries such as Ethiopia.