bluuebunny/crossref_metadata_2025 huggingface dataset:
Augmenting Rice Defenses: Exogenous Calcium Elevates GABA Levels Against WBPH Infestation
Authors: Jan Rahmatullah , Asaf Sajjad , Lubna  , Farooq Muhammad , Asif Saleem , Khan Zakirullah , Park Jae-Ryoung , Kim Eun-Gyeong , Jang Yoon-Hee , Kim Kyung-Min
Published: October 2024

This study investigates the impact of exogenous calcium and gamma-aminobutyric acid (GABA) supplementation on rice growth and stress tolerance under white-backed planthopper (WBPH) infestation. We evaluated several phenotypic traits, including shoot/root length, leaf width, tiller number, panicle length, and relative water content, alongside physiological markers such as oxidative stress indicators, antioxidant enzymes activities, hormonal levels, and amino acids biosynthesis. Our results indicate that WBPH stress significantly reduces growth parameters but calcium and GABA supplementation markedly enhance shoot length (by 26% and 36%) and root length (by 38% and 64%), respectively, compared to WBPH-infested plants. Both supplementations also reduced oxidative stress, as evidenced by decreased H2O2 and O2•− levels and a lower electrolyte leakage. Notably, calcium and GABA treatments increased antioxidant enzyme activities, with GABA boosting catalase (CAT) activity by 800%, peroxidase (POD) by 144%, and superoxide dismutase (SOD) by 62% under WBPH stress. Additionally, calcium and GABA enhanced the accumulation of stress hormones (abscisic acid ABA) and salicylic acid (SA) and promoted stomatal closure, contributing to improved water conservation. This study reveals that calcium regulates the GABA shunt pathway, significantly increasing GABA and succinate levels in both root and shoot. Furthermore, calcium and GABA supplementation enhance the biosynthesis of key amino acids and improve ion homeostasis, particularly elevating calcium (Ca), iron (Fe), and magnesium (Mg) levels under WBPH stress. Overall, this study highlights the potential of exogenous calcium and GABA as effective strategies for enhancing rice plant tolerance to WBPH infestation by modulating various physiological and biochemical mechanisms. Further research is warranted to fully elucidate the underlying mechanisms of action.
Protective Role of Sphingosine-1-Phosphate During Radiation-Induced Testicular Injury
Authors: Wang Defan , Xu Renfeng , Wang Zhengchao
Published: October 2024

The impact of ionizing radiation on the male reproductive system is gaining increasing attention, particularly when it comes to testicular damage, which may result in decreased sperm quality and hormonal imbalances. Finding effective protective measures to mitigate testicular damage caused by radiation has become a focal point in the biomedical field. S1P, an essential biological signaling molecule, has garnered significant interest due to its multiple roles in regulating cellular functions and its protective effects against radiation-induced testicular injury. S1P not only effectively reduces the generation of ROS induced by radiation but also alleviates oxidative stress by enhancing the activity of antioxidant enzymes. Furthermore, S1P inhibits radiation-induced cell apoptosis by regulating the expression of anti-apoptotic and pro-apoptotic proteins. Additionally, S1P alleviates radiation-induced inflammation by inhibiting the production of inflammatory factors, thereby further protecting testicular tissue. In summary, S1P effectively reduces radiation-induced testicular damage through multiple mechanisms, offering a promising therapeutic approach to safeguard male reproductive health. Future research should explore the specific mechanisms of action and clinical application potential of S1P, aiming to contribute significantly to the prevention and treatment of radiation damage.
Evolution of Ebola and Marburg Treatment Centers Design, a Review of the Last Ten Years of Outbreaks in Africa
Authors: Fontana Luca , Pagano Francesca , De Filippi Francesca , Silenzi Anna , Ait-Ikhlef Kamal , Di Marco Michele
Published: October 2024

During Ebola and Marburg outbreaks, treatment centers are essential for patient care and controlling transmission. While clinical care advancements have been well-documented, the design of these centers has been less explored. This study addresses this gap by analyzing technical drawings of 48 treatment centers constructed between 2014 and 2023, using a reverse-engineering approach. The findings highlight a shift toward smaller, more manageable centers, with improved privacy and infection control features. This review offers a framework for the future development of treatment center designs to enhance outbreak management. Key contributions include the identification of trends in center size and layout, providing a foundation for future design standards that can be applied in managing infectious disease outbreaks. The study emphasizes the need for continuous adaptation in treatment center design to meet outbreak demands and calls for future research to develop indicators that measure the impact of design on health outcomes and patient experiences.
Spatiotemporal Analysis of Urban Growth and PM2.5 Concentrations in Sylhet, Bangladesh
Authors: Rahman Mizanur , Meng Lei , Mathews Adam J. , Bertman Steven
Published: October 2024

Environmental impacts of urbanization, such as increased air pollution, pose significant challenges for developing countries. This study examines land cover changes and their relationship with particulate matter 2.5 (PM2.5) concentrations in two upazilas of Bangladesh from 2001 to 2019 using GIS and remote sensing techniques. Results show significant urban expansion (i.e., increase in built-up area) in both upazilas, corresponding with increasing PM2.5 levels. Linear regression reveals correlations between land cover types and PM2.5 levels. Mixed forests and waterbodies tend to be negatively associated with PM2.5 concentrations; on the other hand, built-up and barren land show a positive correlation with PM2.5. The most significant increase in built-up land and PM2.5 was in Madhabpur, indicating urgent environmental and health issues. This study emphasizes the critical role of sustainable urban planning and environmental conservation in mitigating urbanization’s adverse effects on air quality, advocating for preserving natural landscapes to maintain ecological balance, protecting urban health, and providing policymakers with insights to develop strategies addressing urban expansion and air pollution.
Sustainable Environmental Management: Evaluating the Effects of the Tail Number Restriction Policy on Air Quality in Lanzhou, China
Authors: Gan Xuewei , Huang Hengjun , Song Yuyuan
Published: October 2024

In recent years, haze pollution in China has garnered significant attention from both the government and the public, with vehicle emissions being identified as a key source of pollution. This study analyzes the impact of the tail number restriction policy (TNRP) on air quality using daily data from Lanzhou, China, in 2020, by employing the regression discontinuity in time (RDiT) method. The results show that the TNRP significantly reduced the air quality index (AQI) and concentrations of PM2.5, PM10, NO2, and CO, indicating a positive effect on air quality, though this is not a long-term standalone solution. Unlike previous policies, the current TNRP restricts traffic during peak hours, yielding consistent effects. This study recommends continuing the restriction policy and developing a comprehensive environmental governance system to promote new energy vehicles and enhance public transportation infrastructure.
Optimizing Precipitation Forecasting and Agricultural Water Resource Allocation Using the Gaussian-Stacked-LSTM Model
Authors: Wang Maofa , Yan Bingcheng , Zhang Yibo , Zhang Lu , Wang Pengcheng , Huang Jingjing , Shan Weifeng , Liu Haijun , Wang Chengcheng , Wen Yimin
Published: October 2024

Our study investigates the use of machine learning models for daily precipitation prediction using data from 56 meteorological stations in Jilin Province, China. We evaluate Stacked Long Short-Term Memory (LSTM), Transformer, and Support Vector Regression (SVR) models, with Stacked-LSTM showing the best performance in terms of accuracy and stability, as measured by the Root Mean Square Error (RMSE). To improve robustness, Gaussian noise was introduced, particularly enhancing predictions for zero-precipitation days. Key predictors identified through variable attribution analysis include temperature, dew point, prior precipitation, and air pressure. Additionally, we demonstrate the practical benefits of precipitation forecasts in optimizing water resource allocation. A prediction-based strategy outperforms equal distribution in managing resources efficiently, as shown in a case study using 2022 Beidahu data. Overall, our research advances precipitation forecasting through deep learning and offers valuable insights for water resource management.
Bi-Starlike Function of Complex Order Involving Mathieu-Type Series in the Shell-Shaped Region
Authors: Elshazly Ibrahim S. , Murugusundaramoorthy Gangadharan , Halouani Borhen , El-Qadeem Alaa H. , Vijaya Kaliappan
Published: October 2024

For functions of the form ϕ(ξ)=ξ+∑n=2∞cnξn, we identified two new subclasses of bi-starlike functions and bi-convex functions by using Mathieu-type series defined in the disc Δ={ξ∈C:|ξ|<1}. We derived constraints for |c2| and |c3|, and the subclasses are connected to the shell-shaped area. The Fekete–Szegö functional properties for the aforementioned function subclasses were also investigated. Additionally, a number of related corollaries are shown.
An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors
Authors: Mulwa Damaris , Kazuzuru Benedicto , Misinzo Gerald , Bett Benard
Published: October 2024

Reports of Rift Valley fever (RVF), a highly climate-sensitive zoonotic disease, have been rather frequent in Kenya. Although multiple empirical analyses have shown that machine learning methods outperform time series models in forecasting time series data, there is limited evidence of their application in predicting disease outbreaks in Africa. In recent times, the literature has reported several applications of machine learning in facilitating intelligent decision-making within the healthcare sector and public health. However, there is a scarcity of information regarding the utilization of the XGBoost model for predicting disease outbreaks. Within the provinces of Kenya, the incidence of Rift Valley fever was more prominent in the Rift Valley (26.80%) and Eastern (20.60%) regions. This study investigated the correlation between the occurrence of RVF (rapid vegetation failure) and several climatic variables, including humidity, clay content, elevation, slope, and rainfall. The correlation matrix revealed a modest linear dependence between different climatic variables and RVF cases, with the highest correlation, a mere 0.02903, observed for rainfall. The XGBoost model was trained using these climate variables and achieved outstanding performance measures including an AUC of 0.8908, accuracy of 99.74%, precision of 99.75%, and recall of 99.99%. The analysis of feature importance revealed that rainfall was the most significant predictor. These findings align with previous studies demonstrating the significance of weather conditions in RVF outbreaks. The study’s results indicate that incorporating advanced machine learning models that consider several climatic variables can significantly enhance the prediction and management of RVF incidence.
The Effect of Transcranial Direct Current Stimulation on Lower-Limb Endurance Performance: A Systematic Review
Authors: Xu Zhen , Shen Bin , Xiao Songlin , Zhang Chuyi , Zhan Jianglong , Li Jingjing , Fu Weijie , Jin Jing
Published: October 2024

This study systematically reviews the literature on transcranial direct current stimulation (tDCS) interventions for lower-limb endurance performance in healthy adults and provides a summary of the effects and underlying mechanisms of tDCS on lower-limb endurance performance. Systematic searches were performed in PubMed, Web of Science, EBSCO, and ScienceDirect. The risk of bias was assessed using the Cochrane risk of bias assessment tool. The electronic search totaled 341 studies. Twenty-one studies were included in the review after screening. The results show that tDCS effectively improved time to task failure (TTF), increased blood lactate accumulation, and reduced the rating of perceived exertion during cycling. However, the tDCS failed to significantly improve the TTF, relieve muscle pain, and reduce fatigue indices during single-joint fatigue tasks in the knee. Moreover, tDCS intervention caused the effective improvement of the overall lower-limb endurance performance but exerted no uniformly conclusive effect on knee endurance performance. This finding can be partly attributed to varying stimulation protocols across studies. Future studies may focus on the effects of the application of stimulation protocols, such as multitarget stimulation and personalized dosage, to develop targeted stimulation protocols.
Synthesis and Characterization of Iron Nanoparticles from a Bioflocculant Produced by Pichia kudriavzevii Isolated from Kombucha Tea SCOBY
Authors: Tsilo Phakamani H. , Basson Albertus K. , Ntombela Zuzingcebo G. , Dlamini Nkosinathi G. , Pullabhotla V. S. R. Rajasekhar
Published: October 2024

The intriguing characteristics of nanoparticles have fueled recent advancement in the field of nanotechnology. In the current study, a microbial-based bioflocculant made from the SCOBY of Kombucha tea broth was purified, profiled, and utilized to biosynthesize iron nanoparticles as a capping and reducing agent. UV–visible absorption spectroscopy, transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), energy-dispersive X-ray analysis (EDX), and TGA were used to characterize the Fe nanoparticles. The FT-IR spectra showed functional groups such as hydroxyl, a halogen (C-Br), and carbonyl, and the alkane (C-H) functional groups were present in both samples (bioflocculant and FeNPs) with the exception of the Fe-O bond, which represented the successful biosynthesis of FeNPs. The TEM investigation revealed that the sizes of the produced iron nanoparticles were between 2.6 and 6.2 nm. The UV-vis spectra revealed peaks at 230 nm for the bioflocculant and for the as-fabricated FeNPs, peaks were around 210, 265, and 330 nm, which confirms the formation of FeNPs. X-ray diffraction presented planes (012), (104), (110), (113), (024), (116), and (533) and these planes correspond to 17.17, 32.58, 33.75, 38.18, 45.31, 57.40, and 72.4° at 2Ө. The presence of Fe nanoparticles presented with 0.82 wt% from the EDX spectrum of the biosynthesized FeNPs. However, Fe content was not present from the bioflocculant. SEM images reported cumulus-like particles of the bioflocculant, while that of FeNPs were agglomerated and hexagonal with sizes between 18 and 50 nm. The TGA of FeNPs showed thermal stability by retaining above 60% of its weight at high temperatures. It can therefore be deduced that the purified bioflocculant produced by a yeast Pichia kudraivzevii can be utilized to synthesize FeNPs with the current simple and effective method.
Development and Validation of Deep Learning Preoperative Planning Software for Automatic Lumbosacral Screw Selection Using Computed Tomography
Authors: Wang Baodong , Zou Congying , Liu Xingyu , Liu Dong , Zhang Yiling , Zang Lei
Published: October 2024

Achieving precise pedicle screw placement in posterior lumbar interbody fusion (PLIF) is essential but difficult due to the intricacies of manual preoperative planning with CT scans. We analyzed CT data from 316 PLIF patients, using Mimics software for manual planning by two surgeons. A deep learning model was trained on 228 patients and validated on 88 patients, assessing planning efficiency and accuracy. Automatic planning successfully segmented and placed screws in all 316 cases, significantly outperforming manual planning in speed. The Dice coefficient for segmentation accuracy was 0.95. The difference in mean pedicle transverse angle (PTA) and pedicle sagittal angle (PSA) for automatic planning screws compared to manual planning screws was 1.63 ± 0.83° and 1.39 ± 1.03°, respectively, and these differences were either statistically comparable or not significantly different compared to the variability of manual planning screws. The average Dice coefficient of implanted screws was 0.63 ± 0.08, and the consistency between automatic screws and manual reference screws was higher than that of internal screws (Dice 0.62 ± 0.09). Compared with manual screws, automatic screws were shorter (46.58 ± 3.09 mm) and thinner (6.24 ± 0.35 mm), and the difference was statistically significant. In qualitative validation, 97.7% of the automatic planning screws were rated Gertzbein–Robbins (GR) Class A and 97.3% of the automatic planning screws were rated Badu Class 0. Deep learning software automates lumbosacral pedicle screw planning, enhancing surgical efficiency and accuracy.
The Effect of Overweight/Obesity on Cutaneous Microvascular Reactivity as Measured by Laser-Doppler Fluxmetry: A Systematic Review
Authors: McIllhatton Ally , Lanting Sean , Chuter Vivienne
Published: October 2024

Introduction: We sought to determine by systematic review the independent effect of overweight/obesity on cutaneous microvascular reactivity in adults as measured by laser-Doppler fluxmetry. Methods: CINAHL Complete, SPORTSDiscus, Embase, Medline, and Cochrane Library were searched until March 2024 to identify studies investigating cutaneous microvascular reactivity in an overweight/obese but otherwise healthy group versus a lean/healthy weight. Reporting is consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Quality appraisal of included studies was performed using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. Results: Nineteen eligible articles reported on 1847 participants. Most articles reported impaired cutaneous microvascular reactivity in cohorts with overweight/obesity compared to cohorts with lean/healthy weight. Investigating reactivity via post-occlusive reactive hyperaemia (PORH) and iontophoresis of acetylcholine (ACh) has shown significance. No significant differences were reported between groups in response to local heating or to iontophoresis of methacholine or insulin, while findings of the effect of obesity on iontophoresis of sodium nitroprusside (SNP) were mixed. Conclusions: The pathophysiology of impaired cutaneous microvascular reactivity in overweight/obesity requires further investigation; however, impaired function of vasoactive substances, endothelial dysfunction, sensory nerves, and calcium-activated potassium channels may be implicated. Identifying these impaired microvascular responses should inform possible therapy targets in overweight and obesity.activated potassium channels may be implicated. Identifying these impaired microvascular responses should inform possible therapy targets in overweight and obesity.
Dielectric Surface-Based Biosensors for Enhanced Detection of Biomolecular Interactions: Advances and Applications
Authors: Li Liangju , Zhang Jingbo , Li Yacong , Huang Caixin , Xu Jiying , Zhao Ying , Zhang Pengfei
Published: October 2024

Surface plasmon resonance (SPR) biosensors are extensively utilized for analyzing molecular interactions due to their high sensitivity and label-free detection capabilities. Recent innovations in surface-sensitive biosensors with dielectric surfaces address the inherent limitations associated with traditional gold surfaces, such as thermal effects and biocompatibility issues, which can impede broader applications. This review examines state-of-the-art biosensor configurations, including total internal reflection, optical waveguide, photonic crystal resonators, Bloch surface wave biosensors, and surface electrochemical biosensors, which can enhance analyte signals and augment the molecular detection efficiency at the sensor interface. These technological advancements not only improve the resolution of binding kinetics analysis and single-molecule detection but also extend the analytical capabilities of these systems. Additionally, this review explores prospective advancements in augmenting field enhancement and incorporating multimodal sensing functionalities, emphasizing the significant potential of these sophisticated biosensing technologies to profoundly enhance our understanding of molecular interactions.
Sex-Specific Association of Low Muscle Mass with Depression Status in Asymptomatic Adults: A Population-Based Study
Authors: Cho Sung Joon , Jung Sra , Lee Mi-Yeon , Park Chul Hyun
Published: October 2024

Background: The objective of this study was to examine the correlation between low muscle mass (LMM) and depression, with a specific focus on identifying the sex-specific relationship between LMM and depression in a large sample. Methods: This population-based cross-sectional study involved 292,922 community-dwelling adults from 2012 to 2019. Measurements were taken using the Center for Epidemiological Studies Depression (CESD) scale and body composition analyses. Depression was defined as a CESD score ≥ 16, and severe depression as a CESD score ≥ 22. LMM was defined as an appendicular muscle mass/height2 below 7.0 kg/m2 in men and below 5.4 kg/m2 in women. Sex-based multivariable logistic regression analyzed the LMM–depression association, adjusting for confounders, with depression status and severe depression status as dependent variables. Results: Both men and women in the LMM group had an increased odds of depression (men, adjusted odds ratio = 1.13 [95% confidence interval = 1.03–1.12]; women, 1.07 [1.03–1.23]) and severe depression (men, 1.20 [1.05–1.36]; women, 1.10 [1.04–1.15]) compared to those in the control group. Men showed a stronger association between LMM and the presence of depression (p for interaction = 0.025) and the presence of severe depression (p for interaction = 0.025) compared to women. Conclusions: Decreased muscle mass was independently associated with increased chances of depression and severe depression in both sexes, with a significantly stronger association in men compared to women. This highlights the potential significance of LMM as a predictor of depression, particularly in men.
Transcranial Focused Ultrasound Neuromodulation in Psychiatry: Main Characteristics, Current Evidence, and Future Directions
Authors: Keihani Ahmadreza , Sanguineti Claudio , Chaichian Omeed , Huston Chloe A. , Moore Caitlin , Cheng Cynthia , Janssen Sabine A. , Donati Francesco L. , Mayeli Ahmad , Moussawi Khaled , Phillips Mary L. , Ferrarelli Fabio
Published: October 2024

Non-invasive brain stimulation (NIBS) techniques are designed to precisely and selectively target specific brain regions, thus enabling focused modulation of neural activity. Among NIBS technologies, low-intensity transcranial focused ultrasound (tFUS) has emerged as a promising new modality. The application of tFUS can safely and non-invasively stimulate deep brain structures with millimetric precision, offering distinct advantages in terms of accessibility to non-cortical regions over other NIBS methods. However, to date, several tFUS aspects still need to be characterized; furthermore, there are only a handful of studies that have utilized tFUS in psychiatric populations. This narrative review provides an up-to-date overview of key aspects of this NIBS technique, including the main components of a tFUS system, the neuronavigational tools used to precisely target deep brain regions, the simulations utilized to optimize the stimulation parameters and delivery of tFUS, and the experimental protocols employed to evaluate the efficacy of tFUS in psychiatric disorders. The main findings from studies in psychiatric populations are presented and discussed, and future directions are highlighted.
Radiological Outcome of Middle Meningeal Artery Embolization in Relation to Chronic Subdural Hematoma Cause and Architecture
Authors: Abdelghafar Ahmed , Falzon Andrew , Hendriks Eef J. , Radovanovic Ivan , Andrade Hugo , Schaafsma Joanna D. , Mosimann Pascal J.
Published: October 2024

Background/Objectives: MMAE (middle meningeal artery embolization) has emerged as a potential effective treatment for cSDH (chronic subdural hematoma). In this study, MMAE efficiency with regards to cSDH cause and architecture was explored. The comparability of cSDH thickness and volume as parameters for cSDH pre- and post-MMAE assessment was also analyzed. Methods: In this retrospective cohort study, 52 consecutive cSDH patients treated with MMAE in a single tertiary center were included. The cohort was divided into two group pairs pertaining to cSDH cause (spontaneous or traumatic) and cSDH architecture (non-mature or mature). The radiological outcome was compared in each group before and after MMAE and between each group pair using CT imaging. A correlation analysis between cSDH thickness and volume before and after MMAE was also performed. Results: A statistically significant positive linear association between cSDH thickness and volume at admission and at each follow-up interval (1–3, 3–6, 6–12 months) was noticed. cSDH thickness and volume reduction in each group was statistically significant, except for a traumatic cSDH volume reduction at 6–12 months. There was no statistically significant difference between each group pair in the cSDH thickness and volume reduction difference at all the follow-up intervals. Conclusions: A comparable efficiency of MMAE may be achieved in non-mature and mature as well as in spontaneous and traumatic cSDH, with an advantage for spontaneous cSDH at 6–12 months follow-up compared to traumatic cSDH. Traumatic cSDH may require a relatively long-term follow-up post-MMAE. cSDH thickness and volume, as parameters for pre- and post-MMAE cSDH evaluation, appear similar.
Inhibition of Glycolysis Alleviates Chronic Unpredictable Mild Stress Induced Neuroinflammation and Depression-like Behavior
Authors: Liu Bing , Dong Ke , Chen Xiaobing , Dong Huafeng , Zhao Yun , Wang Xue , Sun Zhaowei , Xie Fang , Qian Lingjia
Published: October 2024

Background: Growing evidence suggests that glucose metabolism plays a crucial role in activated immune cells, significantly contributing to the occurrence and development of neuroinflammation and depression-like behaviors. Chronic stress has been reported to induce microglia activation and disturbances in glucose metabolism in the hippocampus. Aims: This study aims to investigate how chronic stress-mediated glycolysis promotes neuroinflammation and to assess the therapeutic potential of the glycolysis inhibitor, 2-deoxy-D-glucose (2-DG), in a model of chronic stress-induced neuroinflammation and depression-like behavior. Methods: In in vitro studies, we first explored the effects of 2-DG on the inflammatory response of microglia cells. The results showed that corticosterone (Cort) induced reactive oxygen species (ROS) production, increased glycolysis, and promoted the release of inflammatory mediators. However, these effects were reversed by intervention with 2-DG. Subsequently, we examined changes in depression-like behavior and hippocampal glycolysis in mice during chronic stress. The results indicated that chronic stress led to prolonged escape latency in the Morris water maze, increased platform-crossing frequency, reduced sucrose preference index, and extended immobility time in the forced swim test, all of which are indicative of depression-like behavior in mice. Additionally, we found that the expression of the key glycolytic enzyme hexokinase 2 (HK2) was upregulated in the hippocampus of stressed mice, along with an increased release of inflammatory factors. Further in vivo experiments investigated the effects of 2-DG on glycolysis and pro-inflammatory mediator production, as well as the therapeutic effects of 2-DG on chronic stress-induced depression-like behavior in mice. The results showed that 2-DG alleviated chronic stress-induced depression-like behaviors, such as improving escape latency and platform-crossing frequency in the Morris water maze, and increasing the time spent in the center of the open field. Additionally, 2-DG intervention reduced the level of glycolysis in the hippocampus and decreased the release of pro-inflammatory mediators. Conclusions: These findings suggest that 2-DG can mitigate neuroinflammation and depressive behaviors by inhibiting glycolysis and inflammatory responses. Overall, our results highlight the potential of 2-DG as a therapeutic agent for alleviating chronic stress-induced neuroinflammation through the regulation of glycolysis.
Stimulation of Dopamine D4 Receptors in the Nucleus Accumbens Shell Increases Palatable Food Intake in Satiated Male Rats: Modulation by NMDA and AMPA Receptors
Authors: Cruz-Trujillo Refugio , Díaz-Urbina Daniel , Díaz-Gandarilla José Alfredo , Vidal-López Dolores Guadalupe , Escartín-Pérez Rodrigo Erick , Mancilla-Diaz Juan Manuel , Florán Benjamín , Tejas-Juárez Juan Gabriel
Published: October 2024

Background/Objectives: Palatability significantly influences food consumption, often leading to overeating and obesity by activating the brain’s reward systems. The nucleus accumbens (NAc) plays a central role in this process, modulating reward mechanisms primarily via dopamine through D2-like receptors (D2R, D3R, D4R). While the involvement of D2 receptors in feeding is well-documented, the role of D4 receptors (D4Rs) is less clear. Methods: Male Wistar rats received intra-NAc shell microinjections of the D4R agonist PD-168077 and the antagonist L-745870. This study also examined the modulation between D4R and glutamatergic transmission by administration of NMDA, NMDA receptor antagonist AP-5, AMPA, and AMPA receptor antagonist CNQX. Results: PD-168077 increased sweet solution intake by 46%, an effect that was reversed by L-745870. Pre-treatment with NMDA prevented the stimulatory effect of PD-168077, whereas the NMDA receptor antagonist AP-5 had no such effect. Additionally, AMPA administration reduced sweet solution intake by 63%, counteracting the effect of PD-168077, while the AMPA receptor antagonist CNQX, on its own, increased intake by 40%. Conclusions: These findings suggest that D4Rs promote hedonic feeding by modulating glutamatergic transmission in the NAc shell, highlighting the complexity of D4R involvement in food intake regulation. This study underscores the potential of targeting D4Rs for therapeutic interventions in eating disorders and obesity, though further research is essential to clarify the precise mechanisms through which D4R modulates AMPA and NMDA receptor activity in feeding behavior.
Examining the Effect of Supervisors’ Humble Leadership on Immediate and Delayed Well-Being in Postgraduate Students
Authors: Duan Zhihui , Zeng Qi , Liu Xin
Published: October 2024

Despite supervisors playing a crucial role in the cultivation of postgraduate students, the impact of supervisors’ leadership on postgraduate students’ well-being is poorly understood. Based on Self-Determination Theory (SDT), this study explores the immediate and delayed effect of supervisors’ humble leadership on postgraduate students’ well-being, together with the mediating effects of basic psychological need satisfaction and the moderating effects of power distance orientation. Using a survey experiment (Study 1) and multi-timepoint questionnaire (Study 2) design, this paper finds that supervisors’ humble leadership influences postgraduate students’ well-being through its effect on basic psychological need satisfaction. Power distance orientation moderates the relationships between supervisors’ humble leadership, basic psychological need satisfaction, and postgraduate students’ well-being; specifically, humble leadership leads to higher basic psychological need satisfaction and well-being in students with high power distance orientation compared to those with low power distance orientation. This research validates the application of SDT in higher education and clarifies how supervisors’ humble leadership influences postgraduate students’ well-being, providing practical guidance for its improvement.
Latent Profile Analysis of AI Literacy and Trust in Mathematics Teachers and Their Relations with AI Dependency and 21st-Century Skills
Authors: Wijaya Tommy Tanu , Yu Qingchun , Cao Yiming , He Yahan , Leung Frederick K. S.
Published: October 2024

Artificial Intelligence (AI) technology, particularly generative AI, has positively impacted education by enhancing mathematics instruction with personalized learning experiences and improved data analysis. Nonetheless, variations in AI literacy, trust in AI, and dependency on these technologies among mathematics teachers can significantly influence their development of 21st-century skills such as self-confidence, problem-solving, critical thinking, creative thinking, and collaboration. This study aims to identify distinct profiles of AI literacy, trust, and dependency among mathematics teachers and examines how these profiles correlate with variations in the aforementioned skills. Using a cross-sectional research design, the study collected data from 489 mathematics teachers in China. A robust three-step latent profile analysis method was utilized to analyze the data. The research revealed five distinct profiles of AI literacy and trust among the teachers: (1) Basic AI Engagement; (2) Developing AI Literacy, Skeptical of AI; (3) Balanced AI Competence; (4) Advanced AI Integration; and (5) AI Expertise and Confidence. The study found that an increase in AI literacy and trust directly correlates with an increase in AI dependency and a decrease in skills such as self-confidence, problem-solving, critical thinking, creative thinking, and collaboration. The findings underscore the need for careful integration of AI technologies in educational settings. Excessive reliance on AI can lead to detrimental dependencies, which may hinder the development of essential 21st-century skills. The study contributes to the existing literature by providing empirical evidence on the impact of AI literacy and trust on the professional development of mathematics teachers. It also offers practical implications for educational policymakers and institutions to consider balanced approaches to AI integration, ensuring that AI enhances rather than replaces the critical thinking and problem-solving capacities of educators.
An Analysis of the Ventilation Efficiency of Various Configurations of Inlet and Outlet Vents in a Residential Building by CFD Simulation
Authors: Kim Daeung Danny , Kim Hyejin , Yim Woong Seog , Lim Taesub
Published: October 2024

Residential buildings in South Korea have equipped an energy recovery ventilation (ERV) system to improve energy efficiency as well as dilute indoor air pollution. While most studies have focused on the efficiency of energy exchange or the ventilation performance of the ERV itself, the ventilation performance can be improved by the proper location of inlet and outlet vents. For the present study, the ventilation performance of the inlet and outlet vents of the ERV was investigated by using CFD simulation. By varying the locations of inlet and outlet vents, the airflow distributions and the age of air were assessed. In addition, the air exchange effectiveness was analyzed by using the mean age of air quantitatively. As a result, a higher age of air was observed when inlet vents were moved to the center of the plan along the wall and an additional inlet or outlet vent was installed in the kitchen. In addition, the highest air exchange effectiveness was obtained when the inlet vents were located in the center of the plan along the wall. Considering the economic perspective, it is recommended to locate the inlet vents in the center to at least improve the ventilation performance.
Chinese Household Carbon Footprint: Structural Differences, Influencing Factors, and Emission Reduction Strategies Analysis
Authors: Fu Jiayan , An Na , Huang Chenyu , Shen Yanting , Pan Min , Wang Jinyu , Yao Jiawei , Yu Zhongqi
Published: October 2024

The wide variation in household characteristics, such as household size, income, and age, can lead to significant differences in carbon footprints. Based on data from 1132 Chinese households in 2021, this study examines the structural differences, multiple influencing factors, and mitigation strategies of household carbon footprints (HCFs) in China. The results indicate that indirect emissions, primarily from energy and food consumption, account for the largest share of household carbon footprints, making up over 65% of total emissions. Households with lower carbon footprints are characterized by a per capita living area of less than 20 square meters, rural residences, and shared living arrangements. Carbon footprints for the elderly and minors are lower than adults, while households with higher monthly incomes have the highest carbon footprints. The Multivariate Analysis of Variance (MANOVA) reveals that the main factors influencing HCF include household size, income, and single status, with a more pronounced impact on affluent households than on average households. High-income households have the potential to reduce their carbon footprints through investments in energy-efficient technologies, whereas low-income households are more susceptible to the effects of household size and geographic location. It is recommended that policymakers adopt differentiated measures, such as setting higher reduction targets for larger and wealthier households while providing incentives and technical support to low-income households to achieve meaningful carbon reductions. More effective and equitable low-carbon policies can be formulated by addressing these structural disparities and leveraging the unique characteristics of different household types.
Study on the Mechanical Behavior of Top-Chord-Free Vierendeel-Truss Composite Slabs
Authors: Xu Jianshe , Zhao Haiyan , Chen Rongzheng , Li Pei , Jia Lifeng , Wang Wei
Published: October 2024

A top-chord-free Vierendeel-truss composite slab (TVCS) comprises a concrete slab, several vertical webs, and a steel bottom chord. In this study, static tests and finite element analyses were conducted based on an actual project to investigate the deformation, crack characteristics, ultimate bearing capacity, and failure mode of the composite slab. The findings indicated that the loading process of this type of floor can be divided into elastic, elastoplastic, and failure stages. The section stress distribution in the elastic stage was further analyzed. The crack development pattern exhibited a fine density in the pure bending sections of the concrete slabs, while demonstrating good overall flexural bearing capacity and ductility for the composite slab. Experimental results were compared with the ANSYS finite element model simulation to validate the accuracy of the simulation. Parametric analysis was conducted to assess the impact of concrete strength, steel strength, vertical web width, and distance ratios on the mechanical characteristics of the composite slab. By introducing an adjustment coefficient for the vertical web distance ratio, a revised calculation formula for flexural bearing capacity was proposed, which aligned well with the finite element analysis.
The Impact of Next-Generation Sequencing Workflows on Outcomes in Advanced Lung Cancer: A Retrospective Analysis at One Academic Health System
Authors: Vakkalagadda Chetan V. , Dressler Danielle B. , Sun Zequn , Fuchs Joseph , Liu Yingzhe , Silberman Philip , Ragam Avanthi , Kircher Sheetal , Patel Jyoti D. , Mohindra Nisha A.
Published: October 2024

Purpose: Broad-based molecular testing with next-generation sequencing (NGS) is now the standard of care in advanced non-small cell lung cancer (NSCLC). Two approaches to molecular testing are (1) reflexive testing at pathologic NSCLC confirmation, often using an in-house molecular panel, and (2) send-out testing to private vendors, ordered by a clinician. This study explored the outcomes with reflex versus send-out testing. Methods: A retrospective chart review was conducted of patients diagnosed with de novo stage IV NSCLC in 2019 and 2020 at three hospitals in the same system, one academic hospital (Northwestern Memorial Hospital, or NMH) utilizing reflex, in-house NGS, and two community-based hospitals (Central DuPage Hospital, or CDH, and Delnor, or D) sending out tissue samples for testing. The outcomes assessed were the time from biopsy to results, biopsy to treatment, the incidence of first-line targetable mutations and the use of first-line targeted therapies, and overall survival. Results: In total, 191 patients met the inclusion criteria, 85 at NMH, 106 at CDH + D, and in total, 131 in 2019 and 60 in 2020. The time to results was significantly shorter with reflexive NGS when compared with send-out testing; the time to treatment was also shorter but not statistically significant. At CDH + D, the time to results was significantly shorter with a limited panel than with comprehensive testing, but the time to treatment was similar. NGS testing rates were 95% at NMH and 84.5% at CDH + D (p = 0.009), with 31.0% at NMH receiving 1L targeted therapies versus 20.8% at CDH + D (p = 0.08). In 2019, the median time from biopsy to treatment was 35 days at NMH and 38 days at CDH and Delnor; in 2020, time to treatment was 26 days and 37 days, respectively. Overall survival trended longer in 2020 relative to 2019 independent of site. Conclusion: Reflexive NGS testing is associated with a shorter time to actionable results and higher rates of first-line targetable mutations than send-out testing. In practices with send-out testing, limited panels had slightly faster turnaround times but no difference in time to treatment. If resources allow, reflexive NGS should be considered in healthcare systems for patients with NSCLC.
G-Protein-Coupled Receptor-Associated Sorting Protein 1 Overexpression Is Involved in the Progression of Benign Prostatic Hyperplasia, Early-Stage Prostatic Malignant Diseases, and Prostate Cancer
Authors: Torres-Luna Cesar , Wei Shuanzeng , Bhattiprolu Sreenivas , Tuszynski George , Rothman Vicki L. , McNulty Declan , Yang Jeff , Chang Frank N.
Published: October 2024

Background/Objectives: Prostate cancer (PCa) is a prevalent malignancy, necessitating accurate diagnostic methods to distinguish it from benign conditions such as benign prostatic hyperplasia (BPH). Current diagnostic tools, relying primarily on serum prostate-specific antigen (PSA) levels, lack specificity, leading to an over-diagnosis and unnecessary treatment of patients with benign conditions. This study explores G-protein-coupled receptor-associated sorting protein 1 (GASP-1) as a more sensitive biomarker for PCa detection. Methods: Prostate tissue microarrays of healthy, BPH, and prostate cancer patients with different Gleason scores were studied. Polyclonal antibodies targeted against GASP-1 were used for routine immunohistochemistry (IHC) and enzyme-linked immunosorbent assay (ELISA) analyses. Results: The results indicated a 5-fold difference in serum GASP-1 levels between BPH and PCa, which was validated through GASP-1 IHC. Furthermore, a novel scoring system, the H-score, assesses GASP-1 granules’ intensity and size, revealing a clear distinction between BPH and PCa. An additional analysis of GASP-1 expression between PCa cases with different Gleason scores reveals that GASP-1 overexpression correlates with PCa severity, providing insights into disease progression. Conclusions: The study supports GASP-1′s role as a promising diagnostic marker, supplementing PSA testing, and offering improved risk stratification for PCa. Additionally, an open-source software system is introduced for an efficient GASP-1 granule color analysis, enhancing diagnostic accuracy.
Factors Associated with Supportive Care Needs Among Palestinian Women with Breast Cancer in the West Bank: A Cross-Sectional Study
Authors: Titi Ibtisam , El Sharif Nuha
Published: October 2024

Background: Breast cancer (BC) is the most common cancer among women in Palestine, where the need for supportive care frequently goes unmet. Therefore, this study aims to assess the supportive care services provided at the governmental hospitals in the southern area of the West Bank and to determine the factors associated with the unmet needs of these services. Methods: A cross-sectional study was conducted on 362 women with BC. Data were collected using a face-to-face questionnaire that included the Supportive Care Needs Survey (SCNS-SF34), patients’ sociodemographic, economic, and clinical characteristics, as well as familial history of cancer and social support. Results: The study revealed that 61% of participants had unmet supportive care needs, with health system information, physical support, and psychological support being the most unmet needs. Factors contributing to unmet needs included age, marital status, familial support, and a family history of cancer. Chemotherapy and surgery increased the probability of physical care needs by fivefold, while hormone therapy reduced the probability of psychological needs (AOR = 0.36, p < 0.001) and patient care and support needs (AOR = 0.49, p = 0.01). Additionally, radiotherapy reduced sexual care needs by 58% and biological therapy by 60%. Conclusions: There is an urgent need for enhanced supportive care services for BC patients in the West Bank, especially regarding health system information, physical care, and psychological support. Addressing these needs through targeted interventions could significantly improve patients’ quality of life.
Ubiquitin-Specific Protease 1 Promotes Bladder Cancer Progression by Stabilizing c-MYC
Authors: Zhang Xia , Peng Peng , Bao Li-Wei , Zhang An-Qi , Yu Bo , Li Tao , Lei Jing , Zhang Hui-Hui , Li Shang-Ze
Published: October 2024

Background: Ubiquitination is an important post-transcriptional modification crucial for maintaining cell homeostasis. As a deubiquitination enzyme, ubiquitin-specific protease 1 (USP1) is associated with tumor progression; however, its role in bladder cancer is unknown. This study aimed to analyze USP1 expression and study its roles in bladder cancer. Methods: The web server GEPIA was used to analyze the USP1 expression. To explore USP1’s function in bladder cancer, we constructed USP1-knockout cell lines in UMUC3 cells. A FLAG-USP1 (WT USP1) plasmid and a plasmid FLAG-USP1 C90S (catalytic–inactive mutant) were used to overexpress USP1 in T24 cells. CCK8, colony formation, and Transwell assays were used to assess cell viability, proliferation, and migration. RNA-sequencing (RNA-seq) and dual-luciferase reporter assays were performed to screen the pathway. Co-immunoprecipitation and immunofluorescence were used to explore the interaction between USP1 and c-MYC. A xenograft mouse model was used to study the role of USP1 in bladder cancer. Results: USP1 expression was upregulated in human bladder cancer cells and correlated with poor patient prognosis. USP1 overexpression promoted cell proliferation, clone formation, and migration, and this was attenuated by genetic ablation of USP1. Furthermore, we observed that USP1 deficiency inhibited tumor formation in vivo. Mechanistically, the c-MYC pathway was remarkably activated compared with the other pathways. Furthermore, USP1 could interact with c-MYC and increase c-MYC’s stability depending on the catalytic activity of USP1. Conclusions: Our results suggested that high expression of USP1 promotes bladder cancer progression by stabilizing c-MYC; hence, USP1 may serve as a novel therapeutic target for treating bladder cancer.