bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of SYT11 in human pan-cancer using comprehensive approaches
Authors: Noh Kyunghee , Yoo Wonbeak , Park Kyung Chan 
Published: February 2024

Abstract

Background
Synaptotagmin 11 (SYT11) plays a pivotal role in neuronal vesicular trafficking and exocytosis. However, no independent prognostic studies have focused on various cancers. In this study, we aimed to summarize the clinical significance and molecular landscape of SYT11 in various tumor types.
Methods
Using several available public databases, we investigated abnormal SYT11 expression in different tumor types and its potential clinical association with prognosis, methylation profiling, immune infiltration, gene enrichment analysis, and protein–protein interaction analysis, and identified common pathways.
Results
TCGA and Genotype-Tissue Expression (GTEx) showed that SYT11 was widely expressed across tumor and corresponding normal tissues. Survival analysis showed that SYT11 expression correlated with the prognosis of seven cancer types. Additionally, SYT11 mRNA expression was not affected by promoter methylation, but regulated by certain miRNAs and associated with cancer patient prognosis. Moreover, aberrant SYT11 expression was significantly associated with immune infiltration. Pathway enrichment analysis revealed that the biological and molecular processes of SYT11 were related to clathrin-mediated endocytosis, Rho GTPase signaling, and cell motility-related functions.
Conclusions
Our results provide a clear understanding of the role of SYT11 in various cancer types and suggest that SYT11 may be of prognostic and clinical significance.
Cotton Chronology: Convolutional Neural Network Enables Single-Plant Senescence Scoring with Temporal Drone Images
Authors: DeSalvio Aaron J. , Arik Mustafa A. , Murray Seth C. , García-Ramos Oriana , DeSalvio Serina M. , Stelly David M. 
Published: February 2024

Abstract
Senescence is a degenerative biological process that affects most organisms. Timing of senescence is critical for annual and perennial crops and is associated with yield and quality. Tracking time-series senescence data has previously required expert annotation and can be laborious for large-scale research. Here, a convolutional neural network (CNN) was trained on unoccupied aerial system (UAS, drone) images of individual plants of cotton (Gossypium hirsutum L.), an early application of single-plant analysis (SPA). Using images from 14 UAS flights capturing most of the senescence window, the CNN achieved 71.4% overall classification accuracy across six senescence categories, with class accuracies ranging between 46.8–89.4% despite large imbalances in numbers of images across classes. For example, the number of images ranged from 109 to 1,129 for the lowest-performing class (80% senesced) to the highest-performing class (fully healthy). The results demonstrate that minimally pre-processed UAS images can enable translatable implementations of high-throughput phenotyping using deep learning methods. This has applications for understanding fundamental plant biology, monitoring orchards and other spaced plantings, plant breeding, and genetic research.
Automatic Assume-Guarantee Reasoning for Safety andLiveness Using Passive Learning
Authors: Sankur Ocan 
Published: February 2024

Abstract
We present circular assume-guarantee reasoning rules automated by an appropriate use of passive learning algorithms for automata and LTL formulas. Both algorithms directly apply to systems made of not just two but multiple components. Moreover the algorithms are modular in the sense that they can be instantiated by any external learning algorithm and model checker. We present experiments showing the feasability of our approach.
Effects of Speed Dependent Treadmill Training on Dual Task Performance in Patients With Parkinson’s Disease
Authors: Hameed Rahma , shahid Wajiha , Pervez Maira , Batool Uzra 
Published: February 2024

Abstract

BACKGROUND:
Parkinson’s disease is progressive disorder, which cause rigidity, balance impairment and tremors. In Parkinson disease patients, the dual task decreases the speed of walking and there is high risk of fall.
OBJECTIVE:
To determine the effects of speed dependent treadmill training on dual task performance in patients with Parkinson’s disease.
METHODOLOGY:
Multicenter randomized clinical trial conducted from January to July 2023 among 24 participants with mild to moderate Parkinson’s disease in 2 outpatient hospitals in Pakistan. The subjects were randomly allocated into two groups. Experimental group received 5weeks treatment on moderate speed for 4 min×4 times for 3 sessions per week. While control group received 5weeks treatment on slow speed for 4 min×4 times for 3 sessions per week. Dual task testing, BBS, and the UPDRS-III were administered at baseline and after the five-week period. Data analyzed on SPSS 25.
RESULTS:
Experimental group had 91.7% male and 8.3% female, while control group had 83.3% male and 16.7% female. The mean and standard deviation of BBS, UPDRS-III and dual-tasking test was decreased in experimental group as compared to control group. Significant difference was found for BBG (p≤0.005), dual-testing test (p≤0.000) and walking speed while dual-tasking (p≤.039) among both groups.
CONCLUSION:
Speed dependent treadmill training improves the dual task performance in Parkinson patient. Slow speed treatment showed more promising result as compared to the moderate treatment in BBS and dual tasking. Additionally, the moderate speed group outperformed the slow speed group in UPDRS-III.
An evaluation of collagen peptide for transdermal delivery using Strat-M ® membrane and excised mouse skin
Authors: Yan Zheng , Dong Peng , Jiang Bin , Zhang Xiao-Qing , Liu Li-Ge , Wang Hai-Yan 
Published: February 2024

Abstract
In the field of medicine and cosmetics, transdermal experiments commonly used to evaluate the transdermal absorption of topical formulations. In this study, we applied Strat-M® membrane to study the in vitro transdermal properties of collagen peptide with different average molecular weight, and compared them with the transdermal absorption through excised mouse skin in vitro. The results showed that the transdermal rate of collagen peptide through Strat-M® and excised mouse skin increased linearly with time, and the different concentrations of collagen peptide solutions affected the final cumulative transmission. The cumulative transmission per unit area and transdermal rate of CP500 were both the highest among the four CPs. The cumulative transmission per unit area of collagen peptides through Strat-M® has a good correlation with that through excised mouse skin, R2 > 0.98. Strat-M® can replace the excised mouse skin in vitro to carry out the transdermal experiment of collagen peptide. Our results can be used to guide formulators in selecting vehicles in early development in the pharmaceutical, personal care and cosmetic industries.
WITHDRAWN: Effects of dietary Bacillus pumilus on the growth performance, intestinal health, lipid metabolism, and mTOR signaling pathway of juvenile Coho salmon (Oncorhynchus kisutch)
Authors: Guo Mengjie , Meng Liuqing , Li Fanghui , Liu Yongqiang , Zhang Ziqi , Zhang Qin , Kong Weiguang 
Published: February 2024

Abstract
This study explored and evaluated the addition of the probiotic Bacillus pumilus Rf8 to Coho salmon (Oncorhynchus kisutch) feed. A total of 360 juvenile Coho salmon with an initial body weight of 130.45 ± 1.11 g were randomly divided into four treatment groups, with three replicates per group and 30 fish per replicate. Different concentrations of B. pumilus were added to the feed of the four treatment groups: 0 (control group), 2 × 106, 4 × 108, and 8 × 1010 cfu/g. The experiment lasted 70 days. Growth performance parameters, nutritional metabolism, immune-related serum biochemical indicators, enzyme activity, gene expression, and muscle composition were evaluated. Furthermore, intestinal histology and intestinal flora were assessed. The findings indicated that relative to the control group, B. pumilus Rf8 notably enhanced the growth performance, protein and fat metabolism, and immune status of the fish, effectively bolstering the structure and function of the intestinal microbiota. The “4 × 108 cfu/g concentration” group demonstrated a substantial advantage in juvenile fish. The B. pumilus strains identified in this study exhibit promising potential as probiotic feed supplements in Coho salmon aquaculture.
Correlation Avoidance in Single-Photon Detecting Quantum Random Number Generators by Dead Time Overestimation
Authors: Solymos Balázs , Schranz Ágoston , Telek Miklós 
Published: February 2024

Abstract

In the case of quantum random number generators based on single photon arrivals, the physical properties of single-photon detectors, such as time-tagger clocks and dead time, influence the stochastic properties of the generated random numbers. This can lead to unwanted correlations among consecutive samples.
We present a method based on extending the insensitive periods after photon detections. This method eliminates the unwanted stochastic effects at the cost of reduced generation speed. We calculate performance measures for our presented method and verify its correctness with computer simulations and measurements conducted on an experimental setup. Our algorithm has low complexity, making it convenient to implement in QRNG schemes, where the benefits of having uncorrelated output intervals exceed the disadvantages of the decreased rate.
Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
Authors: Wu Lin-Fang , Zhu Wei-Guang , Yu En-Ping , Cao Hong-Lin , Wang Zheng-Feng 
Published: February 2024

Abstract
Objectives
Brasenia is a monotypic genus in the family of Cabombaceae. The only species, B. schreberi, is a macrophyte distributed worldwide. Because it requires good water quality, it is endangered in China and other countries due to the deterioration of aquatic habitats. The young leaves and stems of B. schreberi are covered by thick mucilage, which has high medical value. As an allelopathic aquatic plant, it can also be used in the management of aquatic weeds. Here, we present its assembled and annotated genome to help shed light on medial and allelopathic substrates and facilitate their conservation.
Data description:
Genomic DNA and RNA extracted from B. schreberi leaf tissues were used for whole genome and RNA sequencing using a Nanopore and/or MGI sequencer. The assembly was 1,055,148,839 bp in length, with 92 contigs and an N50 of 22,379,495 bp. The repetitive elements in the assembly were 555,442,205 bp. A completeness assessment of the assembly with BUSCO and compleasm indicated 88.4 and 90.9% completeness in the Eudicots database and 95.4 and 96.6% completeness in the Embryphyta database. Gene annotation revealed 67,747 genes that coded for 73,344 proteins.
Estimating groundwater recharge rates in the Upper Awash Basin, Ethiopia under different combinations of model complexity and objective functions
Authors: Redda Muauz Amare , Kebede Seifu , Birhanu Behailu , Hussien Bediru 
Published: February 2024

Abstract
This study addresses the critical need for reliable groundwater recharge quantification by investigating the uncertainty associated with recharge estimation based on various combinations of model complexity and objective functions. Focusing on the Hombele catchment in the upper Awash Basin, Ethiopia, the research aims to analyze parameter sensitivity under different model complexities and objectives while estimating groundwater recharge for the period 1986–2013. Employing a Monte-Carlo-based calibration scheme, the study fine-tunes model parameters using objective functions like KGE, NSE, LogNSE, R2, and VE across 10 combinations of model complexity and objective functions. Results identify FC, LP, and BETA as highly sensitive parameters, while UZL, K0, and MAXBAS show limited influence in all model complexity and objective function scenarios. The semi-distributed HBV-light model achieves calibration, validation, and overall period KGE (NSE) values of 0.89 (0.80), 0.80 (0.73), and 0.87 (0.77), respectively. Sensitivity analyses reveal significant impacts on model parameters and recharge estimation based on the chosen objective function and model complexity levels. Average annual recharge rates range from 185.9–280.5 mm when the HBV-light model is semi-distributed, contrasting with 185.3–321.7 mm under lumped model conditions, emphasizing the importance of considering these factors in groundwater resource assessments.
Recent Advances in Synthetic Routes for Biologically Active Tetrahydroquinoxalines
and Derivatives: A Comprehensive Review
Authors: Sahoo Ashis Kumar , Bhattacharyya Aditya 
Published: February 2024

Abstract:
Tetrahydroquinoxalines are found in many biologically and pharmacologically active small molecules.
In the past two decades, significant progress has been made in the development of novel synthetic routes
for the preparation of biologically active tetrahydroquinoxalines and their derivatives. This synthetic review
aims to provide a comprehensive overview of the advancements in the field of various synthetic strategies and
methodologies employed for the synthesis of tetrahydroquinoxaline scaffolds during this period. The review
emphasizes the diverse synthetic approaches employed, including cycloaddition reactions, condensation reactions,
intramolecular cyclization reactions, ring expansion reactions, hydrogenation reactions, and other miscellaneous
methods.
TPD52 as a Potential Prognostic Biomarker and its Correlation with Immune Infiltrates in Uterine Corpus Endometrial Carcinoma: Bioinformatic Analysis and Experimental Verification
Authors: Miao Lu , Chen Buze , Jing Li , Zeng Tian , Chen Youguo 
Published: February 2024

Background:
Aberrant expression of tumor protein D52 (TPD52) is associated with
some tumors. The role of TPD52 in uterine corpus endometrial carcinoma (UCEC) remains uncertain.

Objective:
We aimed to investigate the involvement of TPD52 in the pathogenesis of UCEC.

Methods:
We employed bioinformatics analysis and experimental validation in our study.

Results:
Our findings indicated that elevated TPD52 expression in UCEC was significantly associated
with various clinical factors, including clinical stage, race, weight, body mass index
(BMI), histological type, histological grade, surgical approach, and age (p < 0.01). Furthermore,
high TPD52 expression was a predictor of poorer overall survival (OS), progress-free survival
(PFS), and disease-specific survival (DSS) (p = 0.011, p = 0.006, and p = 0.003, respectively).
TPD52 exhibited a significant correlation with DSS (HR: 2.500; 95% CI: 1.153-5.419; p =
0.02). TPD52 was involved in GPCR ligand binding and formation of the cornified envelope in
UCEC. Moreover, TPD52 expression was found to be associated with immune infiltration, immune
checkpoints, tumor mutation burden (TMB)/ microsatellite instability (MSI), and mRNA
stemness indices (mRNAsi). The somatic mutation rate of TPD52 in UCEC was 1.9%. A ceRNA
network of AC011447.7/miR-1-3p/TPD52 was constructed. There was excessive TPD52
protein expression. The upregulation of TPD52 expression in UCEC cell lines was found to be
statistically significant.

Conclusion:
TPD52 is upregulated in UCEC and may be a useful patent for prognostic biomarkers
of UCEC, which may have important value for clinical treatment and supervision of
UCEC patients.
Regulating Lipid Metabolism via Mitochondrial Dynamics in Tongue Squamous Cell Carcinoma Cancer Stem Cells
Authors: Wu Fan , Chen Suling , Ren Siqi , Wang Ruixin , Tan Yongmei , Chen Rongxi , Li Bowen , Cao Haotian , Li Jinsong 
Published: February 2024

Background:
Cancer stem cells (CSCs) are a sub-population of cancer cells present
in many kinds of malignant tumors that have the potential for self-proliferation and differentiation.
These cells have been demonstrated as the main cause of tumor recurrence and metastasis.
Strong evidence indicates that CSCs prefer reprogrammed fatty acid β-oxidation over oxidative
phosphorylation for sustaining energy supply. Although mitochondrial dynamics participate in
the regulation of cancer stemness, the correlation between the inhibition of mitochondrial fission
and the regulation of lipid metabolism in CSCs remains poorly understood.

Methods:
The human tongue squamous cell carcinoma (TSCC) cell lines CAL27 and SAS were
used to obtain the CSCs by 3D Spheroid Culture. Then,western blot methods, RT-PCR and flow
cytometry analysis were used to identify the TSCC CSCs. Next, Immunofluorescence method,
transmission electron microscopy detection and western blot methods were used to evaluate the mitochondrial
morphology and the quantity of lipid droplets (LDs). Lastly, lipidomic analysis was applied
to explored the lipidomic alterations of TSCC CSCs with different mitochondrial morphology.

Results:
Here, we show that the quantity of lipid droplets containing intracellular triglyceride
(TG) can be decreased by regulating mitochondrial morphology. Lipidomic analysis using ultraperformance
liquid chromatography-mass spectrometry (UPLC-MS) also compared alterations
in lipid metabolites in tongue squamous cell carcinoma (TSCC) CSCs, TSCC cells (non-CSCs),
and CSCs with different mitochondrial morphology. Discriminant lipids of statistical significance
were successfully annotated, including phosphatidylcholines (PCs), phosphatidylethanolamines
(PEs), sphingomyelins (SMs), triacylglycerols (TGs), phosphatidylglycerols (PGs), phosphatidylserines
(PSs), lysophosphatidylcholines (LPCs), and lysophosphatidylethanolamines (LPEs).

Conclusion:
This study provides a deeper insight into the alterations of lipid metabolism associated
with TSCC CSCs, non-CSCs and CSCs regulated by mitochondrial dynamics and thus
serves as a guide toward novel targeted therapies.
Hierarchical Virtual Screening of SARS-CoV-2 Main Protease Potential
Inhibitors: Similarity Search, Pharmacophore Modeling, and Molecular
Docking Study
Authors: Mando Huda , Allous Iyad 
Published: February 2024

Background:
The outbreak of COVID-19 caused by severe acute respiratory syndrome
coronavirus2 (SARS-CoV-2) resulted in a widespread pandemic. Various approaches involved
the repositioning of antiviral remedies and other medications. Several therapies, including
oral antiviral treatments, represent some approaches to adapting to the long existence of the
COVID-19 pandemic. In silico studies provide valuable insights throughout drug discovery and
development in compliance with global efforts to overcome the pandemic. The main protease is
an essential target in the viral cycle. Computer-aided drug design accelerates the identification
of potential treatments, including oral therapy.

Aims:
This work aims to identify potential SARS-CoV-2 main protease inhibitors using different
aspects of in silico approaches.

Methods:
In this work, we conducted a hierarchical virtual screening of SARS-CoV-2 main protease
inhibitors. A similarity search was conducted to screen molecules similar to the inhibitor
PF-07321332. Concurrently, structure-based pharmacophores, besides ligand-based pharmacophores,
were derived. A drug-likeness filter filtered the compounds retrieved from similarity
search and pharmacophore modeling before being subjected to molecular docking. The candidate
molecules that showed higher affinity to the main protease than the reference inhibitor were
further filtered by absorption, distribution, metabolism, and excretion (ADME) parameters.

Results:
According to binding affinity and ADME analysis, four molecules (CHEMBL218022,
PubChem163362029, PubChem166149100, and PubChem 162396459) were prioritized as
promising hits. The compounds above were not reported before; no previous experimental studies
and bioactive assays are available.

Conclusion:
Our time-saving approach represents a strategy for discovering novel SARS-CoV-
2 main protease inhibitors. The ultimate hits may be nominated as leads in discovering novel
SARS-CoV-2 main protease inhibitors.
Cyber Security Challenges and Effective Security Measures for IOT-based Intelligent Healthcare Systems
Authors: Somnathea Abhijit T. , Gopinath N. , Deena G. , Anandh R. , kumar Santosh , Tiwari Kanchan S. 
Published: February 2024

Aims and Background:
In order to keep up with the rapid development of technology,
cities must enhance their offerings in the areas of public security, medical care, transportation,
and citizen well-being. Healthcare systems rely heavily on patient care. Patients' life and the services
offered by doctors, nurses, clinicians, pharmaceutical companies, and governments stand to
benefit from the implementation of Healthcare IoT. There has been a change in the medical industry,
marked by the widespread adoption of wireless healthcare-monitoring-systems (HMS) in
hospitals.

Objectives and Methodology:
However, the Internet-of-Things(IoT) concept frequently ignores
security-privacy for linked things. Security and privacy protections must be implemented systematically
throughout the entire healthcare and remote health monitoring system, from the creation
of equipment to their interconnection, communication, storage, and eventual destruction.
This research investigates the risks associated with using smart health devices and provides recommendations
for addressing those risks. The present security and privacy of IoT devices in
healthcare systems, as well as the difficulties in adopting security frameworks, are discussed, and
recommendations for addressing these issues are offered.

Results and Conclusions:
This study also contributes in two ways to the ongoing effort to investigate
security-privacy concerns in the circumstance of smart cities for healthcare purposes.
Moreover, this article provides a summary of the many Internet of Things applications and the
cyber threats they face. On the other hand, thorough assessments of methods to reduce cyber
threats to 60% are presented.
Emulgel: A Cutting Edge Approach for Topical Drug Delivery System
Authors: Jain Anjali , Kumar Prashant , Verma Anurag , Mohanta Bibhash Chandra , Ashique Sumel , Pal Radheshyam , Kumar Shubneesh , Mishra Neeraj 
Published: February 2024

Abstract:
Emulgel is considered an advanced leading form of topical drug delivery system. It
possesses the quality of a dual control drug mechanism for drug release as it holds the properties
of both gel as well as emulsion. Emulgel is capable of overcoming the problems of the conventional
route of topical drug delivery, like low spreadability and stickiness with the delivery
of hydrophobic drugs, enhanced bioavailability at the local site of action, no greasy texture, and
ensuring patient compliance. An emulsion is used either w/o or o/w, and the drug can be incorporated
into the suitable phase of the emulsion. After that, the emulsion is incorporated into the
gel phase. Several factors like oil phase, gelling agent, and emulsifier can affect the efficacy and
stability. This advancement is beneficial not only for dermatology but also for cosmetology as
well. Currently, emulgel-based formulations are used for the delivery of anti-inflammatory, analgesic,
anti-acne, and antifungal drugs with a wide array of exploration.