bluuebunny/crossref_metadata_2025_split huggingface dataset:
Additive effect of metabolic syndrome on brain atrophy in people living with HIV – magnetic resonance volumetry study
Authors: Andric Vanja , Maric Daniela , Bulovic Aleksandra , Kozic Dusko , Brkic Snezana , Boban Jasmina 
Published: July 2023

Abstract

With people living with HIV (PLWH) reaching senium, the importance of aging-related comorbidities such as metabolic syndrome (MS) becomes increasingly important. The aim of this study was to determine the additive effect of MS on brain atrophy in PLWH. This prospective study included 43 PLWH, average age 43.02 ± 10.93 years and 24 healthy controls, average age 36.87 ± 8.89 years. PLWH were divided into two subgroups: without MS and with MS, according to NCEP-ATP-III criteria. All patients underwent brain magnetic resonance (MR)imaging on 3T clinical scanner with MR volumetry, used for defining volumes of cerebrospinal fluid (CSF) spaces and white and grey matter structures, including basal ganglia. ANOVA was used to determine differences in brain volumes between subject subgroups. Binary classification was performed to determine sensitivity and specificity of volumetry findings and cut-off values. Statistical significance was set at p < 0.05. PLWH presented with significantly lower volumes of gray matter, putamen, thalamus, globus pallidus and nc. accumbens compared to healthy controls; cut-off values were: for gray matter 738.130 cm3, putamen 8.535cm3, thalamus 11.895 cm3, globus pallidus 2.252 cm3 nc. accumbens 0.715 cm3. Volumes of CSF and lateral ventricles were higher in PLWH with MS compared to those without MS- with specificity of 0.310 and sensitivity of 0.714 it can be assumed that PLWH with CSF volume above 212.83cm3 will also have MS. There seems to be an important connection between MS and brain volume reduction in PLWH with MS, which may add to accurate identification of persons at risk of developing HIV-associated cognitive impairment.
STAVER: A Standardized Benchmark Dataset-Based Algorithm for Effective Variation Reduction in Large-Scale DIA MS Data
Authors: Ding Chen , Ran Peng , Wang Yunzhi , Li Kai , He Shiman , Lv Jiacheng , Zhu Jiajun , Tang Shaoshuai , Feng Jinwen , Qin Zhaoyu , Yin Yanan , Tan Subei , Zhu Lingli 
Published: July 2023

Abstract
Mass spectrometry-based proteomics has emerged as a powerful tool for the comprehensive investigation of complex biological systems. Data-independent acquisition (DIA) mass spectrometry enables the simultaneous quantification of thousands of proteins, with multi- spectral library search strategies showing great promise for enhancing protein identification and quantification. However, the presence of poor-quality profiles can considerably impact the accuracy of quantitative results, leading to erroneous protein quantification. To address this challenge, we developed STAVER, a standardized benchmark dataset-based algorithm efficiently reduces variation in large-scale DIA MS data. By using the benchmark dataset to standardize mass spectrometry signals, STAVER effectively removes unwanted noise and enhances protein quantification accuracy, especially in the context of multi-spectral library searching. We validated the effectiveness of STAVER in several large-scale DIA datasets, demonstrating improved identification and quantification of thousands of proteins. STAVER represents an innovative and efficacious approach for removing unwanted noise information in large-scale DIA proteome data. It enables cross-study comparison and integration of DIA datasets across different platforms and laboratories, enhancing the consistency and reproducibility of clinical research findings. The complete package is accessible online at https://github.com/Ran485/STAVER.
Resolution Enhancement for Compressed Sensing at 1.5T MRI through Deep Learning: Application to Quantitative Volume Measurement of Human Brain Structures
Authors: Suwannasak Atita , Angkurawaranon Salita , Sangpin Prapatsorn , Chatnuntawech Itthi , Wantanajittikul Kittichai , Yarach Uten 
Published: July 2023

Abstract
Background
Compressed sensing (CS) is available for clinical 1.5T scanners with limited reduction factor due to a small channel of receiver coil. Typically, low-resolution (LR) with CS is able to further reduce scan time. However, LR images may be insufficient for clinical diagnosis. Recently, Deep Learning (DL) approaches have demonstrated the ability to generate high-resolution (HR) MR images from LR images. Thus, this study investigated the possibility of using LR-CS and DL-based super-resolution technique for brain volume measurement (BVM) application at 1.5T MRI.
Materials and Methods
For model training, human brain volumes acquired with 3D-TFE-T1W were incorporated, in which LR images were generated from the original HR images with 2x sub-sampled strategy. After data augmentation, pairs of LR and HR images were used for training 3D Residual Dense Net (RDN). For model testing, LR CS-3D-TFE-T1W images were acquired using 1.5T MRI with one minute scan time. Normalized Root-Mean-Square Error (NRMSE), Peak Signal to Noise Ratio (PSNR), and Structural Similarity (SSIM) were used for model evaluation. BVMs were performed using Freesurfer’s software. Wilcoxon signed rank test, Pearson’s correlation, and effect size were used for statistical analysis.
Results
The results showed that DL-SR model is able to synthesize HR images from LR images, in which no significant differences between DL-SR and actual HR (p < 0.01) reported by NRMSE (0.051 vs 0.059), PSNR (25.885 vs 24.679), SSIM (0.961 vs 0.951). For volumetric assessments, there were no significant differences between DL-SR and actual HR images (p > 0.01, Pearson’s correlation > 0.90) at seven subcortical regions.
Conclusions
The combination of LR CS-MRI and DL-SR can effectively address the issue of prolonged scan time in 3D MRI scans while preserving the image quality and the accuracy of brain volume measurements.
Monitoring Mercury in Times of Changing Sources and Climate: A Case Study of Acadia National Park
Authors: Burton Mark E.H. , Chen Celia , Buck David , DeSorbo Chris , Eagles-Smith Collin , Evers David C. , Pritz Colleen Flanagan , Gawley William , Jackson Allyson , Miller-Rushing Abe , Morris Kristi , Nelson Sarah J. , Tear Timothy H. , Wheeler Bik , Willacker James , Yates Dave 
Published: July 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
How illegitimate tasks links to creative behavior of knowledge workers: A moderated mediation model
Authors: Song Haojie , Duan Leilei , Li Yueyang , Zhang Qiang 
Published: July 2023

Abstract
Based on ego depletion theory and interaction ritual theory, we tested the effect of illegitimate tasks on creative behavior of knowledge workers using two studies. Study 1 aimed to test the effect of illegitimate tasks on creative behavior using a 10-day daily dairy study with a sample of 104 knowledge workers. Study 2 aimed to test the effect of illegitimate tasks on creative behavior using a questionnaire survey conducted at two points in time with a sample of 567 knowledge workers. The results of both studies were highly convergent. The relational energy knowledge employees experience during interactions with their family members moderated the indirect negative effect of illegitimate tasks on creative behavior through ego depletion, such that this indirect negative effect was stronger when the relational energy level was low and weaker when the relational energy level was high. The results deepen the understanding of the mechanisms underlying the effect of illegitimate tasks on creative behavior from the perspective of psychological energy, and offer practical insights into managing knowledge workers’ creative behavior.
Treadmill running regulates adult neurogenesis, spatial and non-spatial learning, parvalbumin neuron activity by ErbB4 signaling
Authors: Yi Yandong , Zhang Yuejin , Song yuanlong , Lu Yisheng 
Published: July 2023

Abstract
In our previous study, we found parvalbumin (PV) positive GABAergic interneurons in DG were critical for exercise to increase adult neurogenesis and to improve schizophrenia related phenotypes in mouse model. How exercise affects PV interneuron function needs to be further investigated. In this study, AG1478, an ErbB4 inhibitor, was used to explore its molecular mechanisms as a pharmacological means. Four weeks post-running with AG1478, we found: (1). AG1478 significantly impaired the performances in T-maze, Morris water maze (MWM, spatial learning and memory), contextual fear conditioning and discrimination learning paradigm (non-spatial working and reference memory). (2).AG1478 enhanced neurogenesis loss, downregulated the expression of p-ErbB4 and total ErbB4 protein, (3) AG1478 decreased the intracellular Ca2+ levels in PV neurons which could be reversed by running. Taken together, our study suggested that Treadmill running regulates adult neurogenesis, spatial and non-spatial learning, PV neuron activity by ErbB4 signaling.
Seedback-rl- Scalable and Efficient Deep-rl Equipped With Backup Queue for Task Assignment in Fault Tolerant Fog Computing
Authors: R Archana , Kumar K. Pradeep 
Published: July 2023

Abstract
Due to the present requirements of real-time applications, cloud computing has been superseded with fog computing, which, although addressing the issues of latency and energy consumption, cannot be totally characterised as fault-tolerant. The scalability of the nodes and tasks is one of the main causes of this problem, while there are other factors at play as well. So, it is difficult to execute big tasks in real time in fog computing. Executing all the tasks—regardless of how they scale up—and completing them all within the allotted time frame are crucial for achieving a higher throughput and a lower drop rate. SEEDBACK-RL, a unique distributed reinforcement learning technique, is suggested as a solution to the issue of obtaining reliability, scalability, and timely execution. No tasks are lost with the help of the backup plan that was discussed, regardless of how large the jobs are scaled up to be. The algorithm's capacity to identify the best nodes for task execution ensures that tasks are always carried out. The simulative evaluation demonstrates a significant improvement in reliability, drop rate, load balancing, and decreased delay computed as reliability = 9 with learning parameters compared to the state of the art, load balancing = 6.2, delay a = 5.3, and reliability = 9.
Silicon and Carbon nanocages as catalysts of CO 2 reduction reaction
Authors: Li XiLan , Wang Jing , Wei XiaoLi 
Published: July 2023

Abstract
In this study, the catalytic abilities of on Ni-C50 and Ni-Si50 nanocages for CO2 reduction reaction to CO, CH4, HCOOH, HCHO and CH3OH creation are examined by theoretical methods. The possible mechanisms for CO2 reduction reaction are examined and ΔGreaction of reaction steps to produce the CO, CH4, HCOOH, HCHO and CH3OH on Ni-C50 and Ni-Si50 nanocages are calculated. Results indicated that, the rate limiting step for CH4 and CH3OH production is the nanocage-*CO → nanocage-*CHO on Ni-C50 and Ni-Si50 nanocages. Results shown that the overpotential of CO2 reduction reaction on Ni-C50 and Ni-Si50 nanocages are lower than various metal catalysts. It can be concluded that the Ni-Si50 nanocage has more negative ΔGreaction values and lower free barrier energy than Ni-C50 nanocage to process the reaction steps of CO2 reduction. Results demonstrated that the overpotential for CH4 and CH3OH production are lower than HCOOH and HCHO creation on Ni-C50 and Ni-Si50 nanocages. Finally, the Ni-C50 and Ni-Si50 nanocages are proposed as novel catalysts for CO2 reduction reaction to produce the CO, CH4, HCOOH, HCHO and CH3OH species.
Affiliations based bibliometric analysis of publications on Parkinson’s Disease
Authors: Aleskerov Fuad , Khutorskaya Olga , Yakuba Vuacheslav , Stepochkina Anna , Zinovyeva Ksenia 
Published: July 2023

Abstract

Parkinson’s Disease is the second most common neurodegenerative disorder in the world. Thousands of scientific works are published every year. We have analyzed more than 3 thousand organizations, who have published works on various aspects of Parkinson’s Disease in the period from 2015 to 2021. We have evaluated 4 classical centrality indices (In-degree, Eigenvector, Pagerank and Betweenness) and 2 new centrality indices. The new indices allow to take into account group influence and to identify pivotal nodes. Using the method, we have extracted the most influential organizations in the scientific area of Parkinson’s Disease. Stability analysis allows us to measure the value of dynamic changes in the network during the period under consideration.
Pathogenetic detection and retrospective analysis of a fatal case of Vibrio vulnificus in Shenzhen, China.
Authors: Xu Shiqin , Wu Jinsong , Jin Ying , Ji Liyin , Zou Xuan , Hu Qinghua , Feng Tiejian , Wu Shuang , Jiang Yixiang , Chen Qiongcheng , Lu Huiqun , Qiu Shuxiang , Jiang Min , Cai Rui , Qiu Yaqun , Shi Xiaolu 
Published: July 2023

Abstract
We report a 36-year-old male patient died of V. vulnificus-induced septicaemia and multiple organ failure syndrome after oyster consumption at a restaurant. We isolated and identified V. vulnificus vv16015 from the patient's blood sample and antibiotic susceptibility tests indicated sensitivity to all 21 antibiotics. Oyster samples were subsequently collected from the restaurant's supplier and three strains of V. vulnificus were isolated. Whole genome sequencing and analysis revealed vv16015 to be distantly related to these strains and confirmed that V. vulnificus contamination was present in the seafood of the restaurant and supplier. Using a Galleria mellonella larvae infection model, the virulence of vv16015 was determined to be higher than that of comparison strains isolated from a surviving patient (vv15018) and an oyster (vv220015).The human and environment distribution of V. vulnificus in Shenzhen is sporadic and heterogeneous, and vv16015 is highly virulent compared to other strains.
The Familiarity With the Virtual World: Research on Continued Intention to Play HMD-based VR Game
Authors: Xiao Daibo , YANG LING 
Published: July 2023

Abstract
Compared with traditional games, virtual reality (VR) games can provide the realistic scene and interactivity thanks to the developing technology of VR and artificial intelligence. However, VR game cannot achieve the same popularity as the traditional game until nowadays. Although it can create the illusion that users live in the virtual world, users can still identify the difference between the real world and virtual world. As few studies discussed the factors affecting continued intention to play VR game, this paper intended to present quantitative study investigating the effects of familiarity with virtual scene and interactivity on sense of embodiment(SOE), flow experience, and continued intention to play VR game. Meanwhile, this study also showed the moderating role of perceived cost in this model. The results reflected that familiarity with interactivity positively related to SOE and flow experience while familiarity with scene only positively affect SOE. Perceived cost was found to positively moderate the influence of flow experience and negatively moderating the influence of SOE on continued intention to play. This study draws theoretical implications for future VR game research as well as practical implications for VR game industry.
Long noncoding RNA THOR, a novel target biomolecule, is involved in the progression of colorectal cancer
Authors: Zhou Lin , Li Jianing , Ouyang Hongsheng , Liu Shen , Pang Daxin 
Published: July 2023

Abstract
THOR is a long noncoding RNA that is highly conserved and highly expressed in a variety of human tumor cells. A large number of studies show that THOR is deeply involved in the occurrence and development of a variety of cancers. However, the role and potential molecular mechanisms of THOR in the initiation and progression of CRC have not been fully elucidated. Here, we demonstrate that THOR is crucial for the occurrence of CRC; it interacts with IGF2BP1 to regulate the downstream Wnt/β-catenin signaling pathway. To clarify the contribution of THOR in the occurrence and development of CRC, we established THOR-deficient APCMin/+ mice and human colorectal cancer cells (SW480) using CRISPR/Cas9 technology. The results showed that the body weight and survival rate of THOR-deficient APCMin/+ mice increased; hyperlipidemia in elderly mice was alleviated, and changes in intestinal structure were attenuated. THOR knockout inhibited the growth, proliferation, and migration of SW480 cells. Downstream regulator genes, including c-MYC, APC, SOX9, Wnt1, CDH1, Axin1, Axin2, LEF 1, were knocked down with THOR knockout. In summary, our results indicate that THOR knockout inhibits the growth and migration of CRC cells and that THOR is a promising prognostic indicator for CRC patients. Moreover, the THOR-IGF2BP1-Wnt/β-catenin axis may be a potential therapeutic target for CRC, providing new insights into the important role of lncRNAs in cancer.
Associations Between Changes in Psychological Resilience and Resting-State Functional Connectivity Throughout Pediatric Concussion Recovery
Authors: Brown Olivier , Fang Zhuo , Smith Andra , Healey Katherine , Zemek Roger , Ledoux Andrée-Anne 
Published: July 2023

Abstract

Purpose
This study investigated the association between psychological resilience and resting-state network functional connectivity in pediatric concussion.
Methods
This was a substudy of a randomized controlled trial, recruiting children with concussion and orthopedic injury. Participants completed the Connor-Davidson Resilience 10 Scale and underwent magnetic resonance imaging at 72 hours and 4-weeks post-injury. Seed-to-voxel analyses were used to explore associations between resilience and connectivity with the default-mode, central executive, and salience networks longitudinally and at both timepoints separately. Regions-of-interest analyses were used to explore associations between resilience and within-network connectivity.
Results
A total of 69 children with a concussion (median age = 12.81 [IQR: 11.79–14.36]; 46% female) and 30 with orthopedic injury (median age = 12.27 [IQR: 11.19–13.94]; 40% female) were included. Seed-to-voxel analyses detected a positive correlation between 72-hour resilience and central executive network connectivity in the concussion group, and a positive correlation between 72-hour resilience and salience network connectivity in the orthopedic injury group. Group was a moderator of 72-hour resilience and salience network connectivity, and a moderator of longitudinal resilience and default-mode network connectivity. Regions-of-interest analyses identified group as a moderator of longitudinal resilience and within-default-mode network connectivity. In the orthopedic injury group, longitudinal resilience was associated with within-default-mode network connectivity, while 72-hour resilience was associated with within-salience network connectivity.
Conclusions
These results suggest that resilience may be implicated in functional neuroimaging outcomes in pediatric concussion and should further be investigated for its clinical utility as a protective or restorative factor following injury.
Recent Insights on Drug Delivery System in Hypertension: From Bench to Market
Authors: Sharma Gaurav , Sharma Abhishek 
Published: July 2023

Abstract:
Hypertension is a significant hazardous aspect for several diseases, like cardiovascular disease, kidney failure, and brain disease. Hypertension has become the most lethal condition globally, affecting approximately 1 billion people aged around 30-79 years worldwide. In the year 2022, India was ranked 170th for men and 193rd for women for HTN diagnosis rates among 200 countries worldwide. The main risk factor for cardiac failure and stroke is hypertension. The con-ventional classes of antihypertensive medications currently available have some side effects. Pre-viously, hypertension has been discussed by various researchers using conventional drug-targeting methods such as ACE inhibitors, aldosterone inhibitors, or renin inhibitors. Recently, novel drug delivery technologies utilizing nanoparticles and new pharmacological classes like ACE2 and APA inhibitors have been studied for the medication of hypertension. In this review, we have cov-ered the epidemiology of hypertension in India, its pathophysiology, medications used in the man-agement of hypertension using nanotechnology, and antihypertensive drugs currently available in the market that are approved and patented. Finally, we have covered how hypertension can be managed with the help of smart devices and artificial intelligence (AI) for improved therapy.
Anecdotal Evidence Elucidates the Aging Process
Authors: Katcher Harold L. 
Published: July 2023

:
Our group at Yuvan Research has conducted several experiments in recent years that have demonstrated the reversibility of aging through the use of a young plasma fraction, following a historical line of research that began with heterochronic parabiosis. However, a one-of-a-kind discovery, in the form of anecdotal evidence, has recently clarified many doubts about the nature of aging and rejuvenation, and the conclusions that can be drawn from this discovery allow us to form a relatively clear picture of the mechanics of the aging and rejuvenation processes.
Determinación ultrasonográfica de medidas anatómicas de estructuras tendinosas y ligamentos metacarpianos palmares en burros criollos colombianos
Authors: Reyes-Bossa Bernardo Jose , Díaz Marcial Enrique , Cardona-Álvarez José Alberto 
Published: July 2023

Objective. To provide reference values for anatomical measurements of tendinous structures and metacarpal ligaments in Colombian Creole donkeys using ultrasonography as a measurement tool. Materials and methods. Ultrasonographic examination of the tendons and ligaments of the palmar metacarpal region of limbs was performed in 15 clinically healthy donkeys. The variables to be measured were: cross-sectional area (cm2), lateral medial width (ALM) (cm) and dorsal palmar thickness (EDP) (cm). Results. It was found that there is no difference in the measurements between the two members or in relation to sex. In addition, it was found that the structure with the largest area in the proximal areas (1A and 1B) was the suspensory ligament (0.548 cm2), and in the distal ones (2A and 2B) the deep digital flexor tendon (0.468 cm2). Conclusions. Anatomical measurements of the tendinous structures and the palmar metacarpal ligaments in Colombian Creole donkeys are similar to those found in the international literature. Reference values for anatomical (morphometric) measurements of palmar metacarpal tendons and ligaments in Colombian Creole donkeys were presented.