bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling and Experimental Validation of an Off-Road Truck’s (4 × 4) Lateral Dynamics Using a Multi-Body Simulation
Authors: Benmeddah Abdeselem , Jovanović Vesna , Perić Sreten , Drakulić Momir , Đurić Aleksandar , Marinković Dragan
Published: July 2024

In the automotive sector, the use of multi-body software for modeling of existing vehicles has become essential due to its advantages in understanding vehicle dynamics in different situations and improving vehicle performances. This paper aims to model an off-road truck (4 × 4) by using ADAMS software 2020. Several steps must be achieved, including experimentally identifying some truck characteristics such as the mass, center of gravity coordinates, and tire vertical stiffness. The truck features leaf springs in both the front and rear suspensions, which must be validated before their integration into the full model due to their modeling complexity. This validation is performed by comparing the force–displacement characteristics obtained experimentally with simulation results from ADAMS, showing a good agreement. Then, the full truck is modeled in ADAMS software and validated through an experimental test using a repeated double-lane change scenario with two tests for the validation of the truck’s lateral dynamics. The comparison between the results shows a good correlation, validating the multi-body truck model.
Research on Named Entity Recognition Based on Gated Interaction Mechanisms
Authors: Liu Bin , Chen Wanyuan , Tao Jialing , He Lei , Tang Dan
Published: July 2024

Using long short-term memory (LSTM) networks to build a named entity recognition model is important for the task of named entity recognition. However, traditional memory networks lack a direct connection between input information and hidden states, leading to key feature information not being fully learned during training and causing information loss. This paper designs a bidirectional variant of the long short-term memory (BiLSTM) network called Mogrifier-BiGRU, which combines the BERT pre-trained model and the conditional random field (CRF) network model. The Mogrifier gating interaction unit is set with more hyperparameters to achieve deep interaction of gating information, changing the relationship between input and hidden states so that they are no longer independent. By introducing more nonlinear transformations, the model can learn more complex input–output mapping relationships. Then, by combining Bayesian optimization with the improved Mogrifier-BiGRU network, the optimal hyperparameters of the model are automatically calculated. Experimental results show that the model method based on the gating interaction mechanism can effectively combine feature information, improving the accuracy of Chinese-named entity recognition. On the dataset, an F1-score of 85.42% was achieved, which is 7% higher than traditional methods and 10% higher for the accuracy of some entity recognition.
Silver Nanoparticles Conjugated with BK510Lys Endolysin for Gram-Negative Bacteria Inhibition
Authors: Ramírez Saenz Diana , Martínez Espinosa Juan Carlos , Mancillas Andrea Guadalupe Valdivia , Lechuga Arana Alma Arianna , Silva Contreras Rocío Alejandra , Gutiérrez Chávez Abner Josué
Published: July 2024

In the last decade, the problems caused by the excessive use of antibiotics and the emergence of multi-resistant patterns in Gram-negative bacteria caused the generation of several alternatives and/or replacements, including endolysins and the use of silver nanomaterials (AgNPs). It has been shown that the AgNPs help overcome the bacterial lipopolysaccharide barrier and allow the endolysins to reach the cell wall; therefore, in the present investigation, conjugates of BK510 commercial endolysins (BK510Lys) with metallic nanoparticles were made, which eliminated the obstacle that represents the outer membrane of Gram-negative bacteria. AgNPs were produced by green synthesis using Lepidium virginicum extract as a reducing agent, and diameters of 16.06 ± 4.23 nm were obtained. The endolysins BK510Lys and AgNPs were used to generate conjugates that were characterized and evaluated against gram-negative and gram-positive bacteria of veterinary interest. The results indicated that using the conjugates at a concentration of 0.01 mg/mL, a 2:1 ratio, a temperature of 40 °C, and at pH 5, the inhibitory effect was greater than that of AgNPs (0.5 µg/mL) in more than 65% of the Gram-negative bacteria analyzed. Furthermore, it was determined that for both BK510Lys and the AgNP-BK510Lys conjugate, the only factor that had a significant effect on the lytic activity was their concentration. Finally, we concluded that based on the promising results obtained, future follow-up can be conducted for the formulation of highly specific alternative drugs for super-resistant Gram-negative bacteria.
Seismic Behavior of Flange-Web Welded Plate Connections in Tubular and Concrete-Filled Columns Using Finite Element Analysis
Authors: Moncayo-Matute Freddy Patricio , Chicaiza-Machuca Diego Fernando , Vélez-Sisalima Israel Santiago , Torres-Jara Paúl Bolívar , Vázquez-Silva Efrén
Published: July 2024

The present study analyzes the behavior of connections with flange-web welded plates using the finite element method in tubular columns filled with concrete, and beam, type I. An analytical study of the structural dynamic behavior of a Special Moment Frame (SMF) was carried out, in 5 levels, with HEB structural profiles, for IPE-type columns and beams, according to the requirements established by the AISC-360-16, ANSI-341 standards, and the Ecuadorian standard NEC-2015. The design process of the special frame structure was validated with the help of specialized software. Subsequently, the structural profiles were replaced following the actual construction situation in Ecuador. 3D models of the structural system and the elements of metallic connections were obtained for evaluation through the analysis of finite elements. These models were subjected to virtual tests according to the AISC 341-16 protocols and FEMA 350 standards. The evaluation of the connections showed that they did not meet the flexural strength criterion at 0.04 rad, but they exceeded 80% of the plastic moment at 0.02 rad. Thus, flange-web welded plate connections can be valid for intermediate moment frames (IMF) in areas with moderate seismicity. In addition, it was observed that the columns filled with concrete optimize the structural elements in terms of dimensions; but do not contribute significantly to soldered connections due to the later development of plastic ball joints.
Phytochemical Constituents and Biological Properties of Finger Lime (Citrus australasica F. Muell.) Peel, Pulp and Seeds
Authors: De Vita Daniela , Stringaro Anna Rita , Colone Marisa , Dupuis Maria Luisa , Sciubba Fabio , Scipione Luigi , Garzoli Stefania
Published: July 2024

In this work, for the first time, different parts of the Finger Lime (Citrus australasica F. Muell.), such as pulp, peel and seeds, were analyzed by HS-SPME-GC/MS, and NMR techniques in order to describe its volatile and non-volatile chemical profile. The results highlighted the presence of a high number of terpenes with limonene as principal component in all investigated parts (ranging from 40.4% to 62.6%) and molecules belonging to the classes of amino acids, organic acids, carbohydrates, fatty acids, phenols and miscellaneous compounds that followed a different trend between the investigated different parts. In this study, the inhibition of ChEs (AChE and BChE) was evaluated using the spectrophotometric method of Ellman. The results showed that only peel extract weakly inhibited AChE (14%). Based on these data, this extract was further investigated by GC/MS after derivatization. Furthermore, peel extract was chosen to evaluate the in vitro effects on two human glioblastoma cells lines (U87 and LN18). Flow cytometry results showed that citrus extract was more effective in down-regulating the expression of the adhesion molecule CD44. In fact, after 72 h with 400 µg/mL of citrus extract, CD44 expression levels were reduced in both U87 and LN18 glioblastoma cell lines. This was confirmed by immunofluorescence analysis, which also showed a modification of CD44 antigen localization in both U87 and LN18 cell lines. Moreover, wound assay data supported its ability to reduce glioblastoma cell’s motility. The migration ability of U87 cells decreased (85% control vs. 50% at 400 μg/mL), while it was even more pronounced in resistant LN18 cells (93% control vs. 15% at 400 μg/mL). The findings highlighted that citrus peel extract could have an anti-invasive activity for glioma management.
Two-Dimensional Linear Elasticity Equations of Thermo-Piezoelectric Semiconductor Thin-Film Devices and Their Application in Static Characteristic Analysis
Authors: He Hongyi , Zhang Minjie , Wang Wenjun , Li Xudong , Li Miaomiao , Zhao Luke
Published: July 2024

Based on the three-dimensional (3D) linear elasticity theory of piezoelectric semiconductor (PS) structures, inspired by the variational principle and the Mindlin plate theory, a two-dimensional (2D) higher-order theory and equations for thin-film devices are established for a rectangular coordinate system, in which Newton’s law (i.e., stress equation of motion), Gauss’s law (i.e., charge equation of electrostatics), Continuity equations (i.e., conservation of charge for holes and electrons), drift–diffusion theory for currents in semiconductors, and unavoidable thermo-deformation-polarization-carrier coupling response in external stimulus field environment are all considered. As a typical application of these equations, the static characteristic analysis of electromechanical fields for the extensional deformation of a PS thin-film device with thermal field excitations is carried out by utilizing established zeroth-order equations and the double trigonometric series solution method. It is revealed that the extensional deformations, electric potential, electron and hole concentration perturbations, and their current densities can be controlled actively via artificially tuning thermal fields of external stimuli. Especially, a higher temperature rise can induce a deeper potential well and a higher potential barrier, which can play a vital role in driving effectively motions and redistributions of electrons and holes. Overall, the derived 2D equations as well as the quantitative results provide us some useful guidelines for investigating the thermal regulation behavior of PS thin-film devices.
Trends and Opportunities in the Dairy Industry: A2 Milk and Processing Methods
Authors: Żbik Klara , Onopiuk Anna , Górska-Horczyczak Elżbieta , Wierzbicka Agnieszka
Published: July 2024

Milk is a valuable raw material with incomparable nutritional and technological properties. The dairy market is a fast-growing economical area with more and more innovations emerging recently. The review identifies contemporary trends in the dairy industry, focusing on specific types of A1 and A2 milk and their applications. The A2-type milk is a promising innovation with the potential to alleviate the problem of milk consumption associated with the BCM-7 peptide which is important for many consumers. An increase in its production could also positively impact on biodiversity. A1 and A2 milk have different properties which should be analyzed in future studies. An important topic is newly developed processing methods that allow obtaining safe dairy products without a significant impact on their nutritional value and functional and sensory properties. Thermal, non-thermal, and combined processing technologies are continuously developed. However, there is currently insufficient information on the impact of processing technology on A2 milk. This will likely change in the near future. The combination of the latest technological advances will soon make it possible to provide new, increased quality of dairy products to consumers.
The Historical and Future Variations of Water Conservation in the Three-River Source Region (TRSR) Based on the Soil and Water Assessment Tool Model
Authors: Liu Zhenwei , Di Zhenhua , Zhang Wenjuan , Sun Huiying , Tian Xinling , Meng Hao , Liu Jianguo
Published: July 2024

Water conservation is an essential parameter for maintaining the ecological balance. The Three-River Source Region (TRSR) cannot be an exception, since it is one of the most influential water conservation reserves in the Qinghai–Tibet Plateau in China. Therefore, the realization of its scientific significance can determine its future regional sustainable development and the optimal allocation of water resources. The study of the past is critical to predict the future temporal and spatial changes in the water conservation of the TRSR. The first task of this study was to obtain the optimal runoff simulations in the TRSR from 1981 to 2014 by calibrating the adjustable the parameters of the Soil and Water Assessment Tool (SWAT) model. Then, the water conservation of the TRSR from 1981 to 2014 was quantified. Finally, the future water conservation of the TRSR was also predicted using the optimal SWAT model. The predication took into consideration the three terms including the near-term (2015–2044), mid-term (2045–2074), and long-term (2075–2099) in three different climate scenarios of SSP1-1.9 (SSP119), SSP2-4.5 (SSP245), and SSP5-8.5 (SSP585). The main findings are as follows: (1) both the coefficient of determination (R2) and Nash–Sutcliffe efficiency coefficient (NSE) for runoff simulation on the three sub-basins reached above 0.78 during the calibration and validation periods, which indicates the reasonableness of the SWAT model in the TRSR. (2) From 1981 to 2014, the water conservation capacity of the TRSR showed an increasing trend (0.5135 mm/year), and its changes had significant positive correlations with precipitation and temperature. The Yellow River Source (YR) and the Yangtze River Source (YZ) had the strongest and weakest water conservation capacities, respectively. (3) From 2015 to 2099, the water conservation in the TRSR in the SSP119, SSP245, and SSP585 scenarios decreased first and then increased, increased first and then decreased, and increased steadily, respectively.
Finger-Individuating Exoskeleton System with Non-Contact Leader–Follower Control Strategy
Authors: Sun Zhenyu , Jing Xiaobei , Zhang Xinyu , Shan Biaofeng , Jiang Yinlai , Li Guanglin , Yokoi Hiroshi , Yong Xu
Published: July 2024

This paper proposes a novel finger-individuating exoskeleton system with a non-contact leader–follower control strategy that effectively combines motion functionality and individual adaptability. Our solution comprises the following two interactive components: the leader side and the follower side. The leader side processes joint angle information from the healthy hand during motion via a Leap Motion Controller as the system input, providing more flexible and active operations owing to the non-contact manner. Then, as the follower side, the exoskeleton is driven to assist the user’s hand for rehabilitation training according to the input. The exoskeleton mechanism is designed as a universal module that can adapt to various digit sizes and weighs only 40 g. Additionally, the current motion of the exoskeleton is fed back to the system in real time, forming a closed loop to ensure control accuracy. Finally, four experiments validate the design effectiveness and motion performance of the proposed exoskeleton system. The experimental results indicate that our prototype can provide an average force of about 16.5 N for the whole hand during flexing, and the success rate reaches 82.03% in grasping tasks. Importantly, the proposed prototype holds promise for improving rehabilitation outcomes, offering diverse options for different stroke stages or application scenarios.
Gene Therapy for Retinitis Pigmentosa: Current Challenges and New Progress
Authors: Liu Yuchen , Zong Xin , Cao Wenye , Zhang Wenxi , Zhang Ningzhi , Yang Ning
Published: July 2024

Retinitis pigmentosa (RP) poses a significant threat to eye health worldwide, with prevalence rates of 1 in 5000 worldwide. This genetically diverse retinopathy is characterized by the loss of photoreceptor cells and atrophy of the retinal pigment epithelium. Despite the involvement of more than 3000 mutations across approximately 90 genes in its onset, finding an effective treatment has been challenging for a considerable time. However, advancements in scientific research, especially in gene therapy, are significantly expanding treatment options for this most prevalent inherited eye disease, with the discovery of new compounds, gene-editing techniques, and gene loci offering hope for more effective treatments. Gene therapy, a promising technology, utilizes viral or non-viral vectors to correct genetic defects by either replacing or silencing disease-causing genes, potentially leading to complete recovery. In this review, we primarily focus on the latest applications of gene editing research in RP. We delve into the most prevalent genes associated with RP and discuss advancements in genome-editing strategies currently employed to correct various disease-causing mutations.
Clinical Utility of Optical Genome Mapping for Improved Cytogenomic Analysis of Gliomas
Authors: Singh Harmanpreet , Sahajpal Nikhil S. , Mondal Ashis K. , Burke Stephanie L. , Farmaha Jaspreet , Alptekin Ahmet , Vashisht Ashutosh , Jones Kimya , Vashisht Vishakha , Kolhe Ravindra
Published: July 2024

A glioma is a solid brain tumor which originates in the brain or brain stem area. The diagnosis of gliomas based on standard-of-care (SOC) techniques includes karyotyping, fluorescence in situ hybridization (FISH), and chromosomal microarray (CMA), for detecting the pathogenic variants and chromosomal abnormalities. But these techniques do not reveal the complete picture of genetic complexity, thus requiring an alternative technology for better characterization of these tumors. The present study aimed to evaluate the clinical performance and feasibility of using optical genome mapping (OGM) for chromosomal characterization of gliomas. Herein, we evaluated 10 cases of gliomas that were previously characterized by CMA. OGM analysis showed concordance with the results of CMA in identifying the characterized Structural Variants (SVs) in these cases. More notably, it also revealed additional clinically relevant aberrations, demonstrating a higher resolution and sensitivity. These clinically relevant SVs included cryptic translocation, and SVs which are beyond the detection capabilities of CMA. Our analysis highlights the unique capability of OGM to detect all classes of SVs within a single assay, thereby unveiling clinically significant data with a shorter turnaround time. Adopting this diagnostic tool as a standard of care for solid tumors like gliomas shows potential for improving therapeutic management, potentially leading to more personalized and timely interventions for patients.
Leveraging Hypotension Prediction Index to Forecast LPS-Induced Acute Lung Injury and Inflammation in a Porcine Model: Exploring the Role of Hypoxia-Inducible Factor in Circulatory Shock
Authors: Tsai Yuan-Ming , Lin Yu-Chieh , Chen Chih-Yuan , Chien Hung-Che , Chang Hung , Chiang Ming-Hsien
Published: July 2024

Acute respiratory distress syndrome (ARDS) is a critical illness in critically unwell patients, characterized by refractory hypoxemia and shock. This study evaluates an early detection tool and investigates the relationship between hypoxia and circulatory shock in ARDS, to improve diagnostic precision and therapy customization. We used a porcine model, inducing ARDS with mechanical ventilation and intratracheal plus intravenous lipopolysaccharide (LPS) injection. Hemodynamic changes were monitored using an Acumen IQ sensor and a ForeSight Elite sensor connected to the HemoSphere platform. We evaluated tissue damage, inflammatory response, and hypoxia-inducible factor (HIF) alterations using enzyme-linked immunosorbent assay and immunohistochemistry. The results showed severe hypotension and increased heart rates post-LPS exposure, with a notable rise in the hypotension prediction index (HPI) during acute lung injury (p = 0.024). Tissue oxygen saturation dropped considerably in the right brain region. Interestingly, post-injury HIF-2α levels were lower at the end of the experiment. Our findings imply that the HPI can effectively predict ARDS-related hypotension. HIF expression levels may serve as possible markers of rapid ARDS progression. Further research should be conducted on the clinical value of this novel approach in critical care, as well as the relationship between the HIF pathway and ARDS-associated hypotension.
Should AI-Powered Whole-Genome Sequencing Be Used Routinely for Personalized Decision Support in Surgical Oncology—A Scoping Review
Authors: Alagarswamy Kokiladevi , Shi Wenjie , Boini Aishwarya , Messaoudi Nouredin , Grasso Vincent , Cattabiani Thomas , Turner Bruce , Croner Roland , Kahlert Ulf D. , Gumbs Andrew
Published: July 2024

In this scoping review, we delve into the transformative potential of artificial intelligence (AI) in addressing challenges inherent in whole-genome sequencing (WGS) analysis, with a specific focus on its implications in oncology. Unveiling the limitations of existing sequencing technologies, the review illuminates how AI-powered methods emerge as innovative solutions to surmount these obstacles. The evolution of DNA sequencing technologies, progressing from Sanger sequencing to next-generation sequencing, sets the backdrop for AI’s emergence as a potent ally in processing and analyzing the voluminous genomic data generated. Particularly, deep learning methods play a pivotal role in extracting knowledge and discerning patterns from the vast landscape of genomic information. In the context of oncology, AI-powered methods exhibit considerable potential across diverse facets of WGS analysis, including variant calling, structural variation identification, and pharmacogenomic analysis. This review underscores the significance of multimodal approaches in diagnoses and therapies, highlighting the importance of ongoing research and development in AI-powered WGS techniques. Integrating AI into the analytical framework empowers scientists and clinicians to unravel the intricate interplay of genomics within the realm of multi-omics research, paving the way for more successful personalized and targeted treatments.
Replies to Queries in Gynecologic Oncology by Bard, Bing and the Google Assistant
Authors: Pavlik Edward J. , Ramaiah Dharani D. , Rives Taylor A. , Swiecki-Sikora Allison L. , Land Jamie M.
Published: July 2024

When women receive a diagnosis of a gynecologic malignancy, they can have questions about their diagnosis or treatment that can result in voice queries to virtual assistants for more information. Recent advancement in artificial intelligence (AI) has transformed the landscape of medical information accessibility. The Google virtual assistant (VA) outperformed Siri, Alexa and Cortana in voice queries presented prior to the explosive implementation of AI in early 2023. The efforts presented here focus on determining if advances in AI in the last 12 months have improved the accuracy of Google VA responses related to gynecologic oncology. Previous questions were utilized to form a common basis for queries prior to 2023 and responses in 2024. Correct answers were obtained from the UpToDate medical resource. Responses related to gynecologic oncology were obtained using Google VA, as well as the generative AI chatbots Google Bard/Gemini and Microsoft Bing-Copilot. The AI narrative responses varied in length and positioning of answers within the response. Google Bard/Gemini achieved an 87.5% accuracy rate, while Microsoft Bing-Copilot reached 83.3%. In contrast, the Google VA’s accuracy in audible responses improved from 18% prior to 2023 to 63% in 2024. While the accuracy of the Google VA has improved in the last year, it underperformed Google Bard/Gemini and Microsoft Bing-Copilot so there is considerable room for further improved accuracy.
Nanosensor-Enabled Detection and Identification of Intracellular Bacterial Infections in Macrophages
Authors: Chattopadhyay Aritra Nath , Jiang Mingdi , Makabenta Jessa Marie V. , Park Jungmi , Geng Yingying , Rotello Vincent
Published: July 2024

Opportunistic bacterial pathogens can evade the immune response by residing and reproducing within host immune cells, including macrophages. These intracellular infections provide reservoirs for pathogens that enhance the progression of infections and inhibit therapeutic strategies. Current sensing strategies for intracellular infections generally use immunosensing of specific biomarkers on the cell surface or polymerase chain reaction (PCR) of the corresponding nucleic acids, making detection difficult, time-consuming, and challenging to generalize. Intracellular infections can induce changes in macrophage glycosylation, providing a potential strategy for signature-based detection of intracellular infections. We report here the detection of bacterial infection in macrophages using a boronic acid (BA)-based pH-responsive polymer sensor array engineered to distinguish mammalian cell phenotypes by their cell surface glycosylation signatures. The sensor was able to discriminate between different infecting bacteria in minutes, providing a promising tool for diagnostic and screening applications.
The Role of TIM-1 and CD300a in Zika Virus Infection Investigated with Cell-Based Electrical Impedance
Authors: Oeyen Merel , Heymann Clément J. F. , Jacquemyn Maarten , Daelemans Dirk , Schols Dominique
Published: July 2024

Orthoflaviviruses cause a major threat to global public health, and no antiviral treatment is available yet. Zika virus (ZIKV) entry, together with many other viruses, is known to be enhanced by phosphatidylserine (PS) receptors such as T-cell immunoglobulin mucin domain protein 1 (TIM-1). In this study, we demonstrate for the first time, using cell-based electrical impedance (CEI) biosensing, that ZIKV entry is also enhanced by expression of CD300a, another PS receptor. Furthermore, inhibiting CD300a in immature monocyte-derived dendritic cells partially but significantly inhibits ZIKV replication. As we have previously demonstrated that CEI is a useful tool to study Orthoflavivirus infection in real time, we now use this technology to determine how these PS receptors influence the kinetics of in vitro ZIKV infection. Results show that ZIKV entry is highly sensitive to minor changes in TIM-1 expression, both after overexpression of TIM-1 in infection-resistant HEK293T cells, as well as after partial knockout of TIM-1 in susceptible A549 cells. These results are confirmed by quantification of viral copy number and viral infectivity, demonstrating that CEI is highly suited to study and compare virus-host interactions. Overall, the results presented here demonstrate the potential of targeting this universal viral entry pathway.
Navigating Blockchain’s Twin Challenges: Scalability and Regulatory Compliance
Authors: Mohammed Abdul Shezon Saleem
Published: July 2024

Blockchain technology promises transformative potential across diverse sectors, facilitating innovations in areas ranging from finance to healthcare. Despite its many promising applications, several barriers—including scalability challenges, regulatory complexities, and technical hurdles—limit its widespread adoption. This systematic literature review delves into scalability enhancements and explores the legal and regulatory landscapes impacting blockchain deployment in ten key sectors: IoT, healthcare, finance, education, social media, genomics, supply chain, vehicular networks, e-voting, and tourism. These sectors were selected based on their significant engagement with blockchain technology and their prominence in the analyzed literature. We examine key technological advancements such as Layer-2 techniques, sharding, consensus algorithm optimization, and rollups, and discuss their implications for throughput, latency, and compliance with regulatory standards such as the General Data Protection Regulation (GDPR). The review details these technological and regulatory developments and discusses their broader implications for industry and academia, emphasizing the need for interdisciplinary research and innovation. By identifying gaps in current research and suggesting future directions, this study serves as a roadmap for researchers, practitioners, and policymakers to develop secure, scalable, and compliant blockchain systems. Our comprehensive examination provides valuable insights into enhancing the efficiency, security, and regulatory compliance of blockchain technology.
The Interplay between Gender and Duration of Hospitalization Modulates Psychiatric Symptom Severity in Subjects with Long COVID-19
Authors: Simonetti Alessio , Restaino Antonio , Calderoni Claudia , De Chiara Emanuela , D’Onofrio Antonio Maria , Lioniello Salvatore , Camardese Giovanni , Janiri Delfina , Tosato Matteo , Landi Francesco , Sani Gabriele
Published: July 2024

Long COVID-19 is characterized by ongoing symptoms or prolonged or long-term complications of SARS-CoV-2 contraction which persist beyond 4 weeks from the initial onset of symptoms. Gender and duration of hospitalization (DH) are key risk factors for developing long COVID-19 syndrome, but their impact and interplay need further study. This research involved 996 long COVID-19 patients, and we compared the levels of general psychopathology, depression, agitated depression, anxiety, and medication use between hospitalized and non-hospitalized males and females. In the hospitalized patients, multivariate regressions assessed the impact of gender, DH, and the interaction of these variables. The females had higher levels of long COVID-19 symptoms, psychotropic drug use, depression, anxiety, and general psychopathology than the males. The non-hospitalized females exhibited more severe agitated depression than the non-hospitalized males. In females, DH was more strongly correlated with the number of psychotropic medications used during long COVID-19. A negative correlation was found between DH and severity of agitated depression in the female patients only. These results highlight that the gender-specific relationship between DH and agitated depression severity should be explored further.
Medical Professionalism and Its Association with Dropout Intention in Peruvian Medical Students during the COVID-19 Pandemic
Authors: Hancco-Monrroy Dante E. , Caballero-Apaza Luz M. , Abarca-Fernández Denices , Castagnetto Jesus M. , Condori-Cardoza Fany A. , De-Lama Moran Raul , Carhuancho-Aguilar Jose R. , Gutierrez Sandra , Gonzales Martha , Berduzco Nancy , Delgado Bolton Roberto C. , San-Martín Montserrat , Vivanco Luis
Published: July 2024

Background: The COVID-19 pandemic introduced unprecedented challenges to medical education systems and medical students worldwide, making it necessary to adapt teaching to a remote methodology during the academic year 2020–2021. The aim of this study was to characterize the association between medical professionalism and dropout intention during the pandemic in Peruvian medical schools. Methods: A cross-sectional online-survey-based study was performed in four Peruvian medical schools (two public) during the academic year 2020–2021. Medical students, attending classes from home, answered three scales measuring clinical empathy, teamwork, and lifelong learning abilities (three elements of medical professionalism) and four scales measuring loneliness, anxiety, depression, and subjective wellbeing. In addition, 15 demographic, epidemiological, and academic variables (including dropout intention) were collected. Variables were assessed using multiple logistic regression analysis. Results: The study sample was composed of 1107 students (390 male). Eight variables were included in an explanatory model (Nagelkerke-R2 = 0.35). Anxiety, depression, intention to work in the private sector, and teamwork abilities showed positive associations with dropout intention while learning abilities, subjective wellbeing, studying in a public medical school, and acquiring a better perception of medicine during the pandemic showed a negative association with dropout intention. No association was observed for empathy. Conclusions: Each element measured showed a different role, providing new clues on the influence that medical professionalism had on dropout intention during the pandemic. This information can be useful for medical educators to have a better understanding of the influence that professionalism plays in dropout intention.
Exploring Edge Computing for Sustainable CV-Based Worker Detection in Construction Site Monitoring: Performance and Feasibility Analysis
Authors: Xiao Xue , Chen Chen , Skitmore Martin , Li Heng , Deng Yue
Published: July 2024

This research explores edge computing for construction site monitoring using computer vision (CV)-based worker detection methods. The feasibility of using edge computing is validated by testing worker detection models (yolov5 and yolov8) on local computers and three edge computing devices (Jetson Nano, Raspberry Pi 4B, and Jetson Xavier NX). The results show comparable mAP values for all devices, with the local computer processing frames six times faster than the Jetson Xavier NX. This study contributes by proposing an edge computing solution to address data security, installation complexity, and time delay issues in CV-based construction site monitoring. This approach also enhances data sustainability by mitigating potential risks associated with data loss, privacy breaches, and network connectivity issues. Additionally, it illustrates the practicality of employing edge computing devices for automated visual monitoring and provides valuable information for construction managers to select the appropriate device.
Numerical Analysis on Flexural Shear Behavior of Reinforced Concrete Beams Strengthened with Fiber-Reinforced Polymer Grid and Engineered Cement Composites
Authors: Guo Xiaoyang , Zhang Zaiyu , Sun Qing , Tian Penggang
Published: July 2024

Strengthening reinforced concrete (RC) beams with fiber-reinforced polymer (FRP) grids and engineered cement composites (ECCs) can significantly enhance their shear capacity. However, the specific contributions of the components in reinforced RC beams remain unclear, necessitating further investigation into the flexural shear performance of RC beams. The numerical model was used to analyze the flexural shear performance of RC beams strengthened with an FRP grid and ECCs. Subsequently, the parameters affecting the flexural shear performance of beams were discussed. This included the compressive strength of concrete prism, the shear span ratio, the tensile strength of ECCs, the thickness of the ECC cover, the cross-sectional area of the FRP grid, and the number of FRP grid layers. Finally, a calculation formula was established to predict the shear capacity and verified by the outcomes from numerical models and experimental data. The findings indicated that the ECC-strengthened layer significantly contributed to increasing the shear capacity. Additionally, the FRP grids helped to reduce stress concentration in the flexural shear zone, thereby preventing premature concrete cracking. The max load increased by 8.06% when the ECC’s tensile strength increased from 4 MPa to 10 MPa. In addition, increasing the cover thickness from 8 mm to 20 mm caused the peak load to increase by 14.42%. The calculation formula introduced in this research accurately predicts the shear capacity of the oblique section of RC beams.
The Role and Criteria of Advanced Street Lighting to Enhance Urban Safety in South Korea
Authors: Kim Kwang Hoon , Hwang Taeyon , Kim Gon
Published: July 2024

Safety and crime prevention are significant concerns in both urban and rural areas. Crime Prevention Through Environmental Design (CPTED) guidelines provide an architectural strategy to deter criminal activities by implementing strategic design plans, particularly through effective lighting schemes in urban settings. These measures aim to reduce the fear of crime and enhance the overall quality of life. Enhanced street lighting plays a crucial role in environmental crime prevention by lowering both actual crime rates and the perceived risk of criminal activity in built environments. Current recommendations emphasize installing lighting in poorly lit areas for safety; however, assessing road surface luminance solely based on existing streetlights is insufficient. The research underscores that well-illuminated streets with uniform lighting and higher illuminance levels enhance pedestrian safety and comfort. In addition, this study proposes standardized illumination levels specifically for outdoor facial recognition to aid in identifying potential offenders. It outlines the critical vertical illuminance range and Color Rendering Index (CRI) values necessary for this purpose. Furthermore, metrics like the Brightness Index and Safety Index were developed to enhance night-time security and illustrate their correlation with crime rates. Ultimately, this research introduces quantitative lighting standards to enhance the effectiveness of CPTED guidelines, contributing to efforts to reduce crime incidence.
Genetic Testing for Patients with Cardiomyopathies: The INDACO Study—Towards a Cardiogenetic Clinic
Authors: Bianco Matteo , Giordano Noemi , Gazzola Valentina , Biolè Carloalberto , Nangeroni Giulia , Lazzero Maurizio , Brach del Prever Giulia Margherita , Mioli Fiorenza , Gobello Giulia , Mousavi Amir Hassan , Guidante Monica , Deaglio Silvia , Giachino Daniela Francesca , Chinaglia Alessandra
Published: July 2024

Cardiomyopathies have evolved from being considered rare and idiopathic to being increasingly linked to genetic factors. This shift was enabled by advancements in understanding genetic variants and the widespread use of next generation sequencing (NGS). Current guidelines emphasize the importance of evidence-based gene panels that can offer “clinically actionable results”, which provide diagnostic and prognostic insights. They also advise against indiscriminate family screening after finding variants of uncertain significance (VUS) and recommend collaboration among multidisciplinary teams for an accurate variant pathogenicity assessment. This article presents an innovative “cardiogenetic clinic” approach involving cardiologists and medical geneticists to provide genetic testing and family screening. This study attempts to improve the diagnostic process for suspected genetic cardiomyopathies; this includes direct patient recruitment during cardiology appointments, NGS analysis, and combined consultations with cardiologists and geneticists to assess the results and screen the families. The study cohort of 170 patients underwent genetic testing, which identified 78 gene variants. Positive results (C4 or C5 variants) occurred in 20 (19.8%) cases, with rates varying by cardiomyopathy phenotype, while 57 (73.1%) of the variants found were classified as C3-VUS, causing a significant management issue. This model shortened the time to results, increased patient adherence, and improved patients’ diagnoses. Family screening was pondered depending on the relevance of the detected variants, showing this method’s potential to impact patient management.
Construction of Cu2O-ZnO/Cellulose Composites for Enhancing the Photocatalytic Performance
Authors: Li Yuchen , Yan Ming , Li Xin , Ma Jinxia
Published: July 2024

Zinc oxide (ZnO) nanoparticles, as a non-toxic, harmless, and low-cost photocatalytic material, have attracted much attention from the scientific and industrial communities. However, due to their small particle size and high surface energy, ZnO nanoparticles are prone to agglomeration. In addition, ZnO nanoparticles only have catalytic activity and electron–hole pairing under ultraviolet light. Therefore, Copper(I) oxide (Cu2O)-ZnO/cellulose composites with excellent photocatalytic performance were fabricated by loading Cu2O crystals and using cellulose fiber substrate in this work. Cu2O can increase the light absorption range (including ultraviolet light and visible light) of ZnO/cellulose composites. Moreover, Cellulose fibers can improve the contact area to pollution and photostability of the Cu2O/ZnO nanoparticles, thereby enhancing the photocatalytic activity. The Cu2O-ZnO/cellulose composite showed the highest photocatalytic activity for Methyl orange (MO) degradation, which was approximately 40% and 10% times higher than those of the ZnO/cellulose and Cu2O/ZnO composites, respectively. Moreover, the degradation rate of phenol reached 100% within 80 min. The highly enhanced activity of the Cu2O-ZnO/cellulose composite is attributed to the enlargement of the light absorption range and the formation of heterojunctions between the counterparts, which effectively suppress the recombination of the photogenerated charge carriers. Overall, this work aims to improve the photocatalytic activities of ZnO/cellulose composites by loading Cu2O crystals, hoping to provide a novel and efficient photocatalyst for wastewater treatment.
Enzyme Is the Name—Adapter Is the Game
Authors: Huber Michael , Brummer Tilman
Published: July 2024

Signaling proteins in eukaryotes usually comprise a catalytic domain coupled to one or several interaction domains, such as SH2 and SH3 domains. An additional class of proteins critically involved in cellular communication are adapter or scaffold proteins, which fulfill their purely non-enzymatic functions by organizing protein–protein interactions. Intriguingly, certain signaling enzymes, e.g., kinases and phosphatases, have been demonstrated to promote particular cellular functions by means of their interaction domains only. In this review, we will refer to such a function as "the adapter function of an enzyme". Though many stories can be told, we will concentrate on several proteins executing critical adapter functions in cells of the immune system, such as Bruton´s tyrosine kinase (BTK), phosphatidylinositol 3-kinase (PI3K), and SH2-containing inositol phosphatase 1 (SHIP1), as well as in cancer cells, such as proteins of the rat sarcoma/extracellular signal-regulated kinase (RAS/ERK) mitogen-activated protein kinase (MAPK) pathway. We will also discuss how these adaptor functions of enzymes determine or even undermine the efficacy of targeted therapy compounds, such as ATP-competitive kinase inhibitors. Thereby, we are highlighting the need to develop pharmacological approaches, such as proteolysis-targeting chimeras (PROTACs), that eliminate the entire protein, and thus both enzymatic and adapter functions of the signaling protein. We also review how genetic knock-out and knock-in approaches can be leveraged to identify adaptor functions of signaling proteins.
Globoside Is an Essential Intracellular Factor Required for Parvovirus B19 Endosomal Escape
Authors: Bieri Jan , Suter Corinne , Caliaro Oliver , Bartetzko Seraina , Bircher Cornelia , Ros Carlos
Published: July 2024

Human parvovirus B19 (B19V), like most parvoviruses, possesses phospholipase A2 (PLA2) activity, which is thought to mediate endosomal escape by membrane disruption. Here, we challenge this model and find evidence for a mechanism of B19V entry mediated by the glycosphingolipid globoside without endosome disruption and retrograde transport to the Golgi. We show that B19V PLA2 activity requires specific calcium levels and pH conditions that are not optimal in endosomes. Accordingly, endosomal membrane integrity was maintained during B19V entry. Furthermore, endosomes remained intact when loaded with MS2 bacteriophage particles pseudotyped with multiple B19V PLA2 subunits, providing superior enzymatic potential compared to native B19V. In globoside knockout cells, incoming viruses are arrested in the endosomal compartment and the infection is blocked. Infection can be rescued by promoting endosomal leakage with polyethyleneimine (PEI), demonstrating the essential role of globoside in facilitating endosomal escape. Incoming virus colocalizes with Golgi markers and interfering with Golgi function blocks infection, suggesting that globoside-mediated entry involves the Golgi compartment, which provides conditions favorable for the lipolytic PLA2. Our study challenges the current model of B19V entry and identifies globoside as an essential intracellular receptor required for endosomal escape.
N-SREBP2 Provides a Mechanism for Dynamic Control of Cellular Cholesterol Homeostasis
Authors: Ozkan-Nikitaras Tozen , Grzesik Dominika J. , Romano Lisa E. L. , Chapple J. P. , King Peter J. , Shoulders Carol C.
Published: July 2024

Cholesterol is required to maintain the functional integrity of cellular membrane systems and signalling pathways, but its supply must be closely and dynamically regulated because excess cholesterol is toxic. Sterol regulatory element-binding protein 2 (SREBP2) and the ER-resident protein HMG-CoA reductase (HMGCR) are key regulators of cholesterol biosynthesis. Here, we assessed the mechanistic aspects of their regulation in hepatic cells. Unexpectedly, we found that the transcriptionally active fragment of SREBP2 (N-SREBP2) was produced constitutively. Moreover, in the absence of an exogenous cholesterol supply, nuclear N-SREBP2 became resistant to proteasome-mediated degradation. This resistance was paired with increased occupancy at the HMGCR promoter and HMGCR expression. Inhibiting nuclear N-SREBP2 degradation did not increase HMGCR RNA levels; this increase required cholesterol depletion. Our findings, combined with previous physiological and biophysical investigations, suggest a new model of SREBP2-mediated regulation of cholesterol biosynthesis in the organ that handles large and rapid fluctuations in the dietary supply of this key lipid. Specifically, in the nucleus, cholesterol and the ubiquitin–proteasome system provide a short-loop system that modulates the rate of cholesterol biosynthesis via regulation of nuclear N-SREBP2 turnover and HMGCR expression. Our findings have important implications for maintaining cellular cholesterol homeostasis and lowering blood cholesterol via the SREBP2-HMGCR axis.
N-Doped Nanocrystalline Graphite Electrochemical Sensor for Oleuropein Detection from Extra Virgin Olive Oils
Authors: Albu Camelia , Chira Ana , Stoica Alice , Radu Gabriel-Lucian , Radoi Antonio , Stoian Marius , Simionescu Octavian-Gabriel , Eremia Sandra A. V.
Published: July 2024

A nitrogen-doped nanocrystalline electrochemical graphite sensor for the sensitive determination of oleuropein (OL) from extra virgin olive oils (EVOOs) is presented. The sensor was developed by the deposition of nanocrystalline graphite (NCG) using plasma-enhanced chemical vapour deposition (PECVD) on silicon wafers. Scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDX) and X-ray diffraction analysis (XRD) were used to characterise the microstructure and morphology of the developed materials. Cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and square wave voltammetry (SWV) were used to investigate the electrochemical properties of the material and the performance of the sensor. The developed sensor showed good analytical performance against OL over a concentration range of 5.00–500.00 µM, with a good detection limit of 3.93 µM and a good sensitivity of 0.057 µA µM−1. The reproducibility of the electrochemical sensor was excellent, with a relative standard deviation (RSD) of 8.56% for seven measurements.