bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prefrontal hypoactivation induced via social stress is more strongly associated with state rumination than depressive symptomatology
Authors: Int-Veen Isabell , Fallgatter Andreas J. , Ehlis Ann-Christine , Rosenbaum David 
Published: September 2023

AbstractPrevious studies have consistently shown a pattern of prefrontal hypoactivation in depressed patients (DP); however, it remains unclear whether this neural correlate is a consequence or concomitant feature of depression and/or whether ruminative thinking might be underlying. Using a sample comprising 65 healthy controls (HC) and 77 DP, we investigated the behavioral and neural correlates in response to stress and their association with depressive symptomatology, trait and state rumination. Fitting repeated-measurement MANOVAs including 21 fNIRS-channels covering the bilateral Inferior Frontal Gyrus (IFG), Dorsolateral Prefrontal Cortex (DLPFC) and Somatosensory Association Cortex (SAC), we investigated the predictive value of diagnostic group (HC vs. DP) and state rumination. In DP, we observed significantly lower increases in cortical oxygenation under stress in channels of the right IFG and bilateral DLPFC. Participants reporting lower state rumination and no increases in state rumination under stress showed higher increases in cortical oxygenation compared to the other groups and in more channels compared to the analysis on diagnostic group. Re-running our fNIRS-analysis while correcting for performance resulted in time-dependent changes dependent on group (DP vs. HC) no longer yielding significance, however for the differentiation of state rumination groups.
Research on wheel-legged robot based on LQR and ADRC
Authors: Feng Xujiong , Liu Shuaishuai , Yuan Qiang , Xiao Junbo , Zhao Daxu 
Published: September 2023

AbstractThe traditional two-wheeled self-balancing robot can travel quickly in a flat road environment, and it is easy to destabilize and capsize when passing through a bumpy road. To improve the passing ability of a two-wheeled robot, a new wheel-legged two-wheeled robot is developed. A seven-link leg structure is proposed through the comprehensive design of mechanism configuration, which decouples the balanced motion and leg motion of the robot. Based on the Euler–Lagrange method, the dynamic model of the system is obtained by applying the nonholonomic dynamic Routh equation in the generalized coordinate system. The robot’s state space is divided according to the robot’s height, and the Riccati equation is solved in real-time by the linear quadratic regulator (LQR) method to complete the balance and motion control of the robot. The robot leg motion control is achieved based on the active disturbance rejection control (ADRC) way. A robot simulation model is built on Recurdyn to verify the algorithm’s feasibility, and then an experimental prototype is built to demonstrate the algorithm’s effectiveness. The experimental results show that the control method based on LQR and ADRC can make the robot pass through the bumpy road.
Health-related quality of life and its influencing factors in patients with breast cancer based on the scale QLICP-BR
Authors: Chen Shu , Liu Yuxi , Fong Daniel Yee Tak , Zhou Jiali , Chen Huanwei , Wan Chonghua 
Published: September 2023

AbstractBreast cancer is the most common cancer and the leading cause of cancer death among females worldwide. During the past 15 years, quality of life (QOL) has become an important aspect of breast cancer treatment. The purpose of this study was to evaluate QOL of breast cancer patients in China, and investigate its associations with sociodemographic and clinical variables. A cross-sectional study was conducted in 246 breast cancer patients in China. Recruited patients were surveyed for QOL using the QOL instruments for cancer patients-breast cancer QLICP-BR (V2.0). We assessed the associations between potential influencing factors and QOL using multiple linear regression models. The general mean QOL score for our population was 70.24 with SD = 8.70. Results indicated that medical insurance, drinking history, alkaline phosphatase, serum chloride ion level, serum calcium ion level, serum phosphorus ion level, mean corpuscular volume, mean corpuscular hemoglobin, red cell volume distribution width and platelet had significant associations with QOL of breast cancer patients. Our results emphasized that many factors are affecting QOL of breast cancer patients, which may provide a reference for targeted management or intervention strategies of breast cancer patients to improve their QOL.
Development of multiplex gold nanoparticles biosensors for ultrasensitive detection and genotyping of equine herpes viruses
Authors: Ghoniem Shimaa M. , ElZorkany Heba E. , Hagag Naglaa M. , El-Deeb Ayman H. , Shahein Momtaz A. , Hussein Hussein A. 
Published: September 2023

AbstractGold nanoparticles (GNPs) biosensors can detect low viral loads and differentiate between viruses types, enabling early diagnosis and effective disease management. In the present study, we developed GNPs biosensors with two different capping agent, citrate-GNPs biosensors and polyvinylpyrrolidone (PVP)-GNPs biosensors for detection of EHV-1 and EHV-4 in multiplex real time PCR (rPCR). Citrate-GNPs and PVP-GNPs biosensors can detect dilution 1010 of EHV-1 with mean Cycle threshold (Ct) 11.7 and 9.6, respectively and one copy as limit of detection, while citrate-GNPs and PVP-GNPs biosensors can detect dilution 1010 of EHV-4 with mean Ct 10.5 and 9.2, respectively and one copy as limit of detection. These findings were confirmed by testing 87 different clinical samples, 4 more samples were positive with multiplex GNPs biosensors rPCR than multiplex rPCR. Multiplex citrate-GNPs and PVP-GNPs biosensors for EHV-1 and EHV-4 are a significant breakthrough in the diagnosis of these virus types. These biosensors offer high sensitivity and specificity, allowing for the accurate detection of the target viruses at very low concentrations and improve the early detection of EHV-1 and EHV-4, leading to faster control of infected animals to prevent the spread of these viruses.
Holopelagic Sargassum aggregations provide warmer microhabitats for associated fauna
Authors: Gulick Alexandra G. , Constant Nerine , Bolten Alan B. , Bjorndal Karen A. 
Published: September 2023

AbstractDrifting aggregations of Sargassum algae provide critical habitat for endemic, endangered, and commercially important species. They may also provide favorable microclimates for associated fauna. To quantify thermal characteristics of holopelagic Sargassum aggregations, we evaluated thermal profiles of 50 aggregations in situ in the Sargasso Sea. Sea surface temperature (SST) in the center of aggregations was significantly higher than in nearby open water, and SST differential was independent of aggregation volume, area, and thickness. SST differential between aggregation edge and open water was smaller than those between aggregation center and aggregation edge and between aggregation center and open water. Water temperature was significantly higher inside and below aggregations compared to open water but did not vary inside aggregations with depth. Holopelagic Sargassum aggregations provide warmer microhabitats for associated fauna, which may benefit marine ectotherms, though temperature differentials were narrow (up to 0.7 °C) over the range of aggregation sizes we encountered (area 0.01–15 m2). We propose a hypothetical curve describing variation in SST differential with Sargassum aggregation size as a prediction for future studies to evaluate across temporal and geographic ranges. Our study provides a foundation for investigating the importance of thermal microhabitats in holopelagic Sargassum ecosystems.
Association between anticoagulation strategy and quality of life in chronic hemodialysis patients
Authors: Eloot Sunny , Vanommeslaeghe Floris , Josipovic Iván , Boone Matthieu , Van Biesen Wim 
Published: September 2023

AbstractPrevention of clotting in hemodialysis (HD) is a concern, but tools to monitor anticoagulation strategies as well as data on bleeding and its impact on quality of life (QoL) are scant. In this prospective longitudinal observational study, bleeding tendency in 70 HD patients was scored with ISTH-BAT and HAS-BLED at week 0, 4, and 8. Patient’s limbs were visually scored for bruises and hematomas, and Quality of Life (QoL) was assessed using EQ5D-3L and Visual Analogue Scale (VAS) questionnaires. At week 0, the used hemodialyzer was scanned in a micro-CT scanner to quantify the number of patent fibers. Bleeding scores were 0 [0; 1] and 3 [2; 4] for ISTH-BAT and HAS-BLED, and visual scoring showed 2 [0; 4] bruises/hematomas. QoL was 0.85 [0.77; 1.00] for EQ5D and 70 [60; 80] for VAS. Fiber patency was 81 [70; 90]%, but was not associated with anticoagulation dose (p = 0.103). Patients in the highest tertile of anticoagulation dose had a worse VAS score (p = 0.027), and patients identified as having bleeding tendency by ISTH also had a worse VAS score (p = 0.010). This supports our postulate that in maintenance HD patients the current personal anticoagulation dose regimens may be too high, leading to more mainly minor bleeding that may negatively impact health related quality of life.
Copper-decorated core–shell structured ordered mesoporous containing cobalt ferrite nanoparticles as high-performance heterogeneous catalyst toward synthesis of tetrazole
Authors: Molaei Somayeh , Ghadermazi Mohammad 
Published: September 2023

AbstractThe present work describes the synthesis of copper immobilization on CoFe2O4/MCM-41 as a catalyst, which is created by attaching copper and ligand (N-phenyl anthranilic acid (PA)) on the surface of CoFe2O4/MCM-41 (CoFe2O4/MCM-41/PA/Cu). The synthesized CoFe2O4/MCM-41 support and immobilized copper were identified by FTIR, TEM, VSM, SEM XRD, and nitrogen adsorption–desorption analysis. The results showed that MCM-41 silica was coated with magnetite nanoparticles and copper was successfully immobilized on this structure. The catalytic performance of synthesized catalyst was tested in the synthesis of tetrazole. It was shown that the solid catalyst exhibited a strong magnetic response and showed good catalytic activity in the synthesis of tetrazole. The catalytic test showed that copper supported on CoFe2O4/MCM-41 hybrid showed much better catalytic activity than copper supported on CoFe2O4, indicating that MCM-41 plays an important role in CoFe2O4/MCM-41 hybrid for the synthesis of tetrazole. Separation of the solid catalyst from the reaction mixture was easily performed by external magnetism without apparent mass loss. And the catalyst could be reused six times for the synthesis of heterogeneous tetrazole.
Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithms
Authors: Taheri Golnaz , Habibi Mahnaz 
Published: September 2023

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. Developing drugs against these essential genes to inhibit their regular functions could be a good approach for COVID-19 treatment. Artificial intelligence and machine learning methods provide powerful infrastructures for interpreting and understanding the available data and can assist in finding fast explanations and cures. We propose a method to highlight the essential genes that play crucial roles in SARS-CoV-2 pathogenesis. For this purpose, we define eleven informative topological and biological features for the biological and PPI networks constructed on gene sets that correspond to COVID-19. Then, we use three different unsupervised learning algorithms with different approaches to rank the important genes with respect to our defined informative features. Finally, we present a set of 18 important genes related to COVID-19. Materials and implementations are available at: https://github.com/MahnazHabibi/Gene_analysis.
Characteristics of wood apple (Limonia acidissima L.) and soybean powder jelly for emergency food alternatives
Authors: Afifah Diana Nur , Ayustaningwarno Fitriyono , Rahmawati Anisa , Cantikatmaka Dhara Nabila , Wigati Ningsih , Noer Etika Ratna , Widyastuti Nurmasari , Wijayanti Hartanti Sandi , Sugianto Denny Nugroho , Ningrum Yesi Pratama Aprilia , Hastuti Vivilia Niken 
Published: September 2023

AbstractThe substitution of wood apple juice and soybean powder in the seaweed jelly product can be used as an alternative to emergency supplementary feeding (ESF) for children under five years of age, which contains high protein, fiber, and calories. This study aimed to determine the effect of adding wood apple juice and soybean powder to the nutrition content, vitamin C, zinc, magnesium, total phenol, antioxidant activity, acceptability, and shelf-life of seaweed jelly products. This study was an experimental study with a completely randomized design with two treatment factors, which consisted of making seaweed jelly products with three different ratios of wood apple juice and soybean powder, 60:40 (F1), 50:50 (F2), and 40:60 (F3), dried at 40 °C (T1) and 50 °C (T2). Macronutrients were determined using proximate analysis. The total phenol and vitamin C were measured using Folin-ciocalteu reagent and UV–Vis spectrophotometry. Antioxidant activity was analyzed by 2,2-diphenyl-1-picryl-hydrazyl-hydrate (DPPH). The contents of zinc and magnesium were evaluated through Atomic Absorption Spectrophotometry (AAS). Estimation of shelf life was determined with Accelerated Shelf-Life Test (ASLT) method and Arrhenius equation model. The best formula based on proximate analysis was F3, which contained 361.98 kcal of energy and 33.79 g of protein. The best formula (F1) dried at 40 °C; contains 56.28 mg/100 g vitamin C; zinc was 1.55 mg/100 g; magnesium was 79.25 mg/100 g; antioxidant activity (IC50) was 88.39 μg/mL; and total phenol was 8.59 mg GAE/g. The quality attributes of the best formula show the potential of the jelly as an emergency food despite its short shelf-life.
TnaA, a trithorax group protein, modulates wingless expression in different regions of the Drosophila wing imaginal disc
Authors: Rosales-Vega Marco , Reséndez-Pérez Diana , Zurita Mario , Vázquez Martha 
Published: September 2023

Abstractwingless expression is exquisitely regulated by different factors and enhancers in the imaginal wing discs of Drosophila melanogaster in four domains: the dorsal band, the dorso-ventral boundary, and the inner and outer ring domains. tonalli is a trithorax group gene that encodes a putative SUMO E3 ligase that binds to chromatin to regulate the expression of its targets, including the Hox genes. However, its role in modulating gene expression is barely known. Here, we show that TnaA modulates the wingless expression at two domains of the wing disc, the dorso-ventral boundary and the inner ring. At first, tonalli interacts genetically with Notch to form the wing margin. In the inner ring domain, TnaA modulates wingless transcription. When the dosage of TnaA increases in or near the inner ring since early larval stages, this domain expands with a rapid increase in wingless expression. TnaA occupies the wingless Inner Ring Enhancer at the wing disc, meanwhile it does not affect wingless expression directed by the Ventral Disc Enhancer in leg discs, suggesting that TnaA acts as a wingless enhancer-specific factor. We describe for the first time the presence of TnaA at the Inner Ring Enhancer as a specific regulator of wingless in the development of wing boundaries.
High-status individuals are held to higher ethical standards
Authors: Trautmann Stefan T. , Wang Xianghong , Wang Yijie , Xu Yilong 
Published: September 2023

AbstractAlthough there is evidence for the generosity of high-status individuals, there seems to be a strong perception that the elites are selfish and contribute little to others’ welfare, and even less so than poorer people. We argue that this perception may derive from a gap between normative and empirical expectations regarding the behavior of the elites. Using large-scale survey experiments, we show that high-status individuals are held to higher ethical standards in both the US and China, and that there is a strong income gradient in normatively expected generosity. We also present evidence for a gap between people’s normative expectations of how the rich should behave, and their empirical expectations of how they actually do: empirical expectations are generally lower than both normative expectations and actual giving.
Exploration of common genomic signatures of systemic juvenile rheumatoid arthritis and type 1 diabetes
Authors: Zheng Jie , Wang Yong , Fang Xin , Hu Jun 
Published: September 2023

AbstractTo explore the genetic characteristics of systemic juvenile rheumatoid arthritis (sJRA) and type 1 diabetes mellitus (T1D). The microarray data of sJRA and T1D from Gene Expression Omnibus (GEO) were analyzed. The shared differentially expressed genes (SDEGs) were identified by the Meta-analysis, and genes of extracellular proteins were identified. Then, transcription factors (TFs) and their target genes in SDEGs were obtained by comparing databases from HumanTFDB, and hTFtarget. After that, functional enrichment analyses of the previously identified gene sets were performed by metascape tool. Finally, immune infiltration was analysed by CIBERSORT. We found 175 up-regulated and 245 down-regulated SDEGs, and by constructing a TFs-targeted SDEGs network, 3 key TFs (ARID3A, NEF2, RUNX3) were screened. Functional enrichment analyses and immune infiltration results suggested not only the adaptive immune system but also the innate immune system, and signaling pathways like JAK-STAT are important in the pathogenesis of sJRA and T1D, involving biological processes such as CD4 T cell functions and neutrophil degranulation. This work suggests that innate immune abnormalities also play important roles in sJRA and T1D, CD4 T cell functions, neutrophil degranulation and the JAK-STAT pathway may be involved. The regulatory roles of ARID3A, NEF2, and RUNX3 in this network need to be further investigated.
A pilot prospective cohort study using experimental quantification of early peripheral nerve regeneration with high-frequency three-dimensional tomographic ultrasound (HFtUS)
Authors: Murphy Ralph N. A. , Rogers Steven K. , Bhatti Waqar , Wong Jason K. , Reid Adam J. 
Published: September 2023

AbstractQuantification of peripheral nerve regeneration after injury relies upon subjective outcome measures or electrophysiology assessments requiring fully regenerated neurons. Nerve surgeons and researchers lack objective, quantifiable information on the site of surgical repair and regenerative front. To address this need, we developed a quantifiable, visual, clinically available measure of early peripheral nerve regeneration using high-frequency, three-dimensional, tomographic ultrasound (HFtUS). We conducted a prospective, longitudinal study of adult patients with ulnar and/or median nerve injury of the arm undergoing direct epineurial repair within 5 days of injury. Assessment of morphology, volumetric and 3D grey-scale quantification of cross-sectional views were made at baseline up to 15 months post-surgery. Sensory and motor clinical outcome measures and patient reported outcome measures (PROMs) were recorded. Five participants were recruited to the study. Our data demonstrated grey-scale values (an indication of axonal density) increased in distal stumps within 2–4 months after repair, returning to normal as regeneration completed (4–6 months) with concomitant reduction in intraneural volume as surgical oedema resolved. Two patients with abnormal regeneration were characterized by increased intraneural volume and minimal grey-scale change. HFtUS may quantify early peripheral nerve regeneration offering a window of opportunity for surgical intervention where early abnormal regeneration is detected.
Artificial intelligence-enhanced electrocardiography for early assessment of coronavirus disease 2019 severity
Authors: Baek Yong-Soo , Jo Yoonsu , Lee Sang-Chul , Choi Wonik , Kim Dae-Hyeok 
Published: September 2023

AbstractDespite challenges in severity scoring systems, artificial intelligence-enhanced electrocardiography (AI-ECG) could assist in early coronavirus disease 2019 (COVID-19) severity prediction. Between March 2020 and June 2022, we enrolled 1453 COVID-19 patients (mean age: 59.7 ± 20.1 years; 54.2% male) who underwent ECGs at our emergency department before severity classification. The AI-ECG algorithm was evaluated for severity assessment during admission, compared to the Early Warning Scores (EWSs) using the area under the curve (AUC) of the receiver operating characteristic curve, precision, recall, and F1 score. During the internal and external validation, the AI algorithm demonstrated reasonable outcomes in predicting COVID-19 severity with AUCs of 0.735 (95% CI: 0.662–0.807) and 0.734 (95% CI: 0.688–0.781). Combined with EWSs, it showed reliable performance with an AUC of 0.833 (95% CI: 0.830–0.835), precision of 0.764 (95% CI: 0.757–0.771), recall of 0.747 (95% CI: 0.741–0.753), and F1 score of 0.747 (95% CI: 0.741–0.753). In Cox proportional hazards models, the AI-ECG revealed a significantly higher hazard ratio (HR, 2.019; 95% CI: 1.156–3.525, p = 0.014) for mortality, even after adjusting for relevant parameters. Therefore, application of AI-ECG has the potential to assist in early COVID-19 severity prediction, leading to improved patient management.