bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Validation of Cuproptosis Related Genes and Signature Markers in Bronchopulmonary Dysplasia Disease using Bioinformatics Analysis and Machine Learning
Authors: Jia Mingxuan , Li Jieyi , Zhang Jingying , Wei Ningjing , yin yating , Chen Hui , Yan Shixing , Wang Yong 
Published: January 2023

Abstract
Background
Bronchopulmonary Dysplasia (BPD) has a high incidence and affects the health of preterm infants. Cuproptosis is a novel form of cell death, but its mechanism of action in the disease is not yet clear. Machine learning, the latest tool for the analysis of biological samples, is still relatively rarely used for in-depth analysis and prediction of diseases.
Methods and Results
First, the differential expression of cuproptosis-related genes (CRGs) in the GSE108754 dataset was extracted and the heat map showed that the NFE2L2 gene was significantly expressed and highly expressed in the control group and the GLS gene was significantly highly expressed in the treat group. Chromosome location analysis showed that both genes were associated with chromosome 2 and positively correlated between genes. The results of immune infiltration and immune cell differential analysis showed differences in the four immune cells, especially in Monocytes cells. Five new pathways were analyzed by consistent clustering based on the expression of CRGs. Weighted correlation network analysis (WGCNA) set the screening condition to the top 25% to obtain the disease signature genes. Four machine learning algorithms: Generalized Linear Models (GLM), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB) were used to screen the disease signature genes, and the final five marker genes for disease prediction. The models constructed by GLM method were proved to be more accurate in the validation of two datasets, GSE190215 and GSE188944.
Conclusion
We eventually identified two copper death-associated genes, NFE2L2 and GLS. A machine learning model-GLM was constructed to predict the prevalence of BPD disease, and five disease signature genes NFATC3, ERMN, PLA2G4A, MTMR9LP and LOC440700 were identified. These genes that were bioinformatics analyzed could be potential targets for identifying BPD disease and treatment.
The positive influence of leptin in mature corpus luteum function of pregnant sows
Authors: Zhang Wenlong , Peng Jiang , Yang Sitian , Huang Yupei , Tong Dewen 
Published: January 2023

Abstract
Background: Leptin, well-known modulator of fat deposition and energy metabolism, is a rather peptide hormone involved in reproduction. The mature corpus luteum (CL) of pregnant pig is able to undergo luteolysis in response to prostaglandin (PG)F2α, luteolytic capacity is established. However, the direct role of leptin in mature CL functin of pregnant sows has remained obscure, especially in PGF2α-reduced CL function.
Methods: We first investigated the expressions of leptin and its long form receptor (Ob-R) in the mature CL and cultured luteal cells of pregnant sows. We therefore used luteal cells of mature CL of pregnant sows to investigate the effect of leptin on CL function.
Results: Our results showed that leptin and Ob-R immunostaining was predominantly located in luteal cells of mature CL, and leptin and Ob-R proteins were detected in cultured luteal cells. In vitro, treatments of luteal cells with PGF2α are decreased cell viability and P4 release. To note, leptin is increased the basal and PGF2α-reduced cell viability, and P4 release by luteal cells. Leptin is also accelerated the LH-stimulated P4 secretion in luteal cells. Furthermore, leptin is induced PGE2 release, but reduced PGF2α secretion by luteal cells. Finally, leptin is increased the release and mRNA expression of LH by luteal cells.
Conclusions: Our data provide evidence for the expressions of leptin and Ob-R in the mature CL and cultured luteal cells, and a positive influence of leptin in mature CL function of pregnant sows. The findings may represent an additional link between energy metabolism and pregnant female reproduction.
Cloning, heterologus expression and characterization of a thermophilic and salt tolerant GH11 xylanase from Allostreptomyces psammosilenae YIM DR4008 T
Authors: Li Xin-Wei , Zhu Dan , Li Lei , Yang Run-Feng , Fan Shi-Yuan , Lv Zhi-Hua , Rao Meng-Di , Song Rong-Huang , Sang Peng , Yin Yi-Rui , Yang Li-Quan 
Published: January 2023

Abstract
Xylanases are used in a wide range of applications such as food, feed, and bioenergy production. Many industrial applications need to be carried out at high temperatures, so it is important to discover new thermophilic xylanases. In this study, a xylanase gene (576 bp), denominated apxyn11a, was obtained from Allostreptomyces psammosilenae YIM DR4008T and was cloned and heterologously expressed in Escherichia coli BL21(DE3). The recombinant xylanase (ApXyn11A) was isolated and purified by Ni2+-affinity chromatography. The molecular weight of recombinant ApXyn11A was 22.7 kDa. Its optimum reaction temperature and pH were 65°C and 5.6, respectively. It maintained above 95% relative activity after incubation at 55°C for 120 min and more than 80% residual activity after incubation in pH 4.0–6.0 for 24 h. What more, ApXyn11A exhibited more than 60% relative activity in presence of 3.5 M NaCl. The kinetic parameters Km (0.2 mg/mL), Vmax (2000 µmol/min/mg) and Kcat (755.09 S− 1) were determined using corn cob xylan as the substrate. These indicate that ApXyn11A has the properties of small molecular weight, thermophilic, salt and acid tolerance, which predicts the potential use of ApXyn11A in food, feed, paper and bioenergy fields.
A Machine Learning Model Based Web App to Predict Diabetic Blood Glucose
Authors: Sampa Masuda Begum , Biswas Topu , Hoque M Rakibul , Hossain M Nazmul , Ahmed Ashir 
Published: January 2023

Abstract
Aim of this study is to use machine learning approaches for predicting blood glucose based on basic non-invasive health checkup test results, dietary information, and socio-demographic characteristics and to develop a web application to predict blood glucose easily. We evaluated the performance of five widely used machine learning models. Data have been collected from 271 employees of Grameen Bank complex, in Dhaka, Bangladesh. This study used continuous blood glucose data to train the model and predicted new blood glucose values using the trained data. Finally, we developed a blood glucose prediction web application. The Boosted Decision Tree Regression model showed the best performance among other models based on the Root Mean Squared Error (RMSE) 2.30, this RMSE is better than any reported in the literature. This study developed a blood glucose prediction model and web application which is easier, more convenient, and more efficient for people. People can also easily check their blood glucose values using our app, especially in remote areas of developing countries that lack adequate skilled doctors and nurses. By predicting blood glucose, this study can help to save medical costs and time and to reduce health management costs. Our system can be helpful in achieving SDGs, Universal Health Coverage and thus reducing overall morbidity and mortality.
Biplanar versus Triplanar Chevron Osteotomy for the Correction of Hallux Valgus: A Comparison of Radiologic Outcomes
Authors: Feeney Kaylem M , D'Souza Lester G 
Published: January 2023

Abstract
Introduction: Hallux valgus is a common disorder of the foot. The chevron osteotomy is among the most common methods of surgically correcting mild to moderate hallux valgus, though it has been associated with inadequate distal metatarsal articular angle (DMAA) correction and risk of hallux valgus recurrence. This study aimed to compare the effectiveness of the triplanar and biplanar chevron osteotomies in correcting mild to moderate hallux valgus. Specifically, we aimed to determine if the triplanar chevron osteotomy results in superior correction of the DMAA compared to the biplanar chevron osteotomy.
Methods: A retrospective review of patient medical charts and preoperative and postoperative radiographs was performed. A total of 55 patients were included, with 28 patients in the biplanar chevron group and 27 patients in the triplanar chevron group. The DMAA and intermetatarsal (IM) angles were measured on preoperative and postoperative radiographs. Statistical analysis was carried out on SPSS.
Results: The DMAA and IM angles improved significantly in both groups (p = <0.001). There was no significant difference in the mean postoperative IM angle in the biplanar versus triplanar groups (9.58 degrees versus 9.19 degrees, respectively, p = 0.279). There was a significant difference in the mean postoperative DMMA in the triplanar versus biplanar groups (7.88 degrees versus 8.79 degrees, respectively, p = 0.026).
Conclusions: The biplanar and triplanar chevron osteotomies are equally effective in reducing IM angle in mild to moderate hallux valgus. The triplanar chevron osteotomy significantly increases DMAA correction when compared to the biplanar chevron osteotomy and may therefore reduce hallux valgus recurrence.
Study of Candida species in various clinical specimens at UCMS-TH, Bhairahawa, Nepal
Authors: Ghimire Kripa , Reddy K. Rajeshwar , Raut Shristi 
Published: January 2023

Abstract
Introduction: The incidence of fungal infections has increased significantly in the recent times contributing to high rates of morbidity and mortality. Although being the normal flora of various parts of human body, Candida species are recognized as a major fungal pathogen causing both superficial and deep-seated infection in immunosuppressed patients. Increase in antimicrobial resistance recently has rendered treatment difficult due to restricted number of antifungal drugs.
Methods: This is a descriptive cross-sectional study done for a period of 18 months at a tertiary care center. Ethical clearance was obtained from Institutional Review Committee with a referece number (UCMS/IRC/036/18). Two hundred isolates of Candida species were identified from various clinical samples by using phenotypic tests such as CHROM agar, sugar fermentation test, sugar assimilation test and germ tube test. Antifungal susceptibility test was performed for five drugs namely ketoconazole (10µg), fluconazole (10µg), itraconazole (10µg), nystatin (100µg) and amphotericin-B(20µg). All the statistical evaluation was done by using SPSS version 20.0 software (IBM Corp., Armonk, NY).
Results: Among 200 isolates of Candida, the most frequently isolated species was C.albicanswhich was seen in 69% of total isolates followed by C.tropicalis, C.krusei, and C.dubliniensis. Maximum Candida isolates were from urine sample (41.5%) followed by sputum (22.5%). Amphotericin –B was found to be the most sensitive drug with a sensitivity of 97.1% whereas ketoconazole was the least sensitive drug with a sensitivity of 40.5% among the isolates.
Conclusion: C.albicans were the major isolates in this study, however, there is an increased incidence of non- albicans Candida species. Antifungal susceptibility test revealed increased resistance to different antifungal drugs among Candida species. This may conclude that increase in resistant strains may lead to difficult management of Candida infection as there are very few antifungal agents available.
Expedited Surrogate-Based Quantification of Engineering Tolerances using A Modified Polynomial Regression
Authors: Parnianifard Amir , Chaudhary Sushank , Mumtaz Shahid , Wuttisittikulkij Lunchakorn , Imran Muhammad Ali 
Published: January 2023

Abstract
Statistical analysis is frequently used to determine how manufacturing tolerances or operating condition uncertainties affect system performance. Surrogate is one of the accelerating ways in engineering tolerance quantification to analyze uncertainty with an acceptable computational burden rather than costly traditional methods such as Monte Carlo simulation. Compared with more complicated surrogates such as the Gaussian process, or Radial Basis Function (RBF), the Polynomial Regression (PR) provides simpler formulations yet acceptable outcomes. However, PR with the common least-squares method needs to be more accurate and flexible for approximating nonlinear and nonconvex models. In this study, a new approach is proposed to enhance the accuracy and approximation power of PR in dealing with uncertainty quantification in engineering tolerances. For this purpose, first, by computing the differences between training sample points and a reference point (e.g., nominal design), we employ certain linear and exponential basis functions to transform an original variable design into new transformed variables. A second adjustment is made to calculate the bias between the true simulation model and the surrogate's approximated response. To demonstrate the effectiveness of the proposed PR approach, we provide comparison results between conventional and proposed surrogates employing four practical problems with geometric fabrication tolerances such as three-bar truss design, welded beam design, and trajectory planning of two-link and three-link (two and three degrees of freedom) robot manipulator. The obtained results prove the preference of the proposed approach over conventional PR by improving the approximation accuracy of the model with significantly lower prediction errors.
Flexibility Values of Battery and Fuel Cell Electric Vehicles
Authors: Liu Ruixue , He Guannan , Wang Xizhe , Mallapragada Dharik , Zhao Hongbo , Shao-Horn Yang , Jiang Benben 
Published: January 2023

Abstract
To address the intermittency problems of variable renewable energy (VRE) in low-carbon energy systems, flexibility has become increasingly important. Electrified transportation exhibits great potentialto provide essential flexibility. In this work, we analyzed and compared the flexibility values of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs) for planning and operating interdependent electricity and hydrogen supply infrastructures while considering battery degradation impacts and costs. A cross-scale framework involving both macro-level and micro-level models was proposed to compute the values of flexible EV charging. At the macro level, a sector-coupling planning model was adopted to estimate the system cost reduction from flexible EV charging incorporating battery degradation costs. Battery degradation cost computation for BEVs was based on micro-level simulations of battery degradation via a porous electrode theory-based model under various charging-time constraints and temperatures. The results show that the flexibility values of BEVs are significantly reduced by considering the battery degradation cost and becomes comparable to those of FCEVs. Fast charging and a low-temperature environment could reduce the flexibility values of BEVs due to increased degradation. Under theelectrolytic-hydrogen only pathway, with more stronglycoupled power and hydrogen supply chains, the flexibility values of BEVs are significantly reduced because of the substitution effect of the less expensive flexibility from hydrogen storage. Our findings imply that policies (e.g., the hydrogen pathway) and relevant management technologies (e.g., battery fast charging and thermal management) for BEV battery degradation mitigation are crucial to shaping the comparative flexibility advantage of the two transportation electrification pathways.
Natural Compounds with Aldose Reductase (AR) Inhibition: A Class of
Medicative Agents for Fatty Liver Disease
Authors: Wang Tong , Xu Zi-hui 
Published: January 2023

Abstract:
Fatty liver disease (FLD), which includes both non-alcoholic fatty liver disease
(NAFLD) and alcoholic fatty liver disease (ALD), is a worldwide health concern. The etiology of
ALD is long-term alcohol consumption, while NAFLD is defined as an abnormal amount of lipid
present in liver cells, which is not caused by alcohol intake and has recently been identified as a
hepatic manifestation of metabolic syndrome (such as type 2 diabetes, obesity, hypertension, and
obesity). Inflammation, oxidative stress, and lipid metabolic dysregulation are all known to play a
role in FLD progression. Alternative and natural therapies are desperately needed to treat this disease
since existing pharmaceuticals are mostly ineffective. The aldose reductase (AR)/polyol
pathway has recently been shown to play a role in developing FLD by contributing to inflammation,
oxidative stress, apoptosis, and fat accumulation. Herein, we review the effects of plantderived
compounds capable of inhibiting AR in FLD models. Natural AR inhibitors have been
found to improve FLD in part by suppressing inflammation, oxidative stress, and steatosis via the
regulation of several critical pathways, including the peroxisome proliferator-activated receptor
(PPAR) pathway, cytochrome P450 2E1 (CYP2E1) pathway, AMP-activated protein kinase
(AMPK) pathway, etc. This review revealed that natural compounds with AR inhibitory effects are
a promising class of therapeutic agents for FLD.
Design, Synthesis, and Anti-tuberculosis Activity of Streptomycin Derivatives
Authors: Zhang Yinyong , Zhao Wenhao , Yang Yushe , Zhou Xianli , Guo Bin 
Published: January 2023

Background:
The treatment of tuberculosis has been a serious medical and health problem that
needs to be solved urgently. Streptomycin has been one of the important anti-tuberculosis drugs for decades;
however, no systematic structural modification of streptomycin has been done, which means that the
anti-tuberculosis ability of streptomycin derivatives deserves further exploration.

Objective:
In this study, we investigated the effect of systematic structural modification of the aldehyde
groups in streptomycin on its anti-tuberculosis activity.

Methods:
Streptomycin was selected as the lead compound, and its aldehyde group was modified to obtain
hydrazone, amino hydrazide, and sulfonyl hydrazide derivatives, respectively. In addition, siderophore
fragments were introduced into streptomycin. The anti-tuberculosis activities of the new compounds
against H37Rv were evaluated.

Results:
A total of 21 novel streptomycin derivatives have been designed and synthesized. All compounds
were characterized with 1H NMR, 13C NMR, and HRMS. The preliminary bioactivity test showed
that most analogues bearing hydrazine, acylhydrazine, or sulfonyl hydrazine, such as 12a, 13a-d, and
15a-f, possessed potent anti-tuberculosis activity with MIC value of 2 μg/mL, which was comparable to
streptomycin, while secondary amine or siderophore derivatives caused a dramatic reduction in activity.

Conclusion:
The structural modification and structure-activity relationship of the aldehyde group of
streptomycin were systematically studied for the first time. The results showed that the aldehyde group
was not necessary for exhibiting its activity. It was well tolerated when the aldehyde group was converted
into hydrazine, acylhydrazine, or sulfonyl hydrazine. These novel analogues provide potential lead structures
for further modification in the future.
Identification of Attention-Deficit-Hyperactivity Disorder Subtypes Based
on Structural MRI Grey Matter Volume and Phenotypic Information
Authors: K. Usha Rupni , P. Aruna Priya 
Published: January 2023

Background:
One of the neurodevelopmental disorders widely affecting school-aged children
in recent years is attention deficit hyperactivity disorder (ADHD). In many neurodevelopmental
disorders, grey matter may be used as a clinical indicator by looking at MRIs.

Objective:
The study aimed to segment grey matter from brain MRI using a proposed fuzzy c-means
clustering-based technique for the detection of ADHD and its subtypes (ADHD-Inattentive, ADHDHyperactive,
and ADHD-Combined). The grey matter volume, age, gender, and medication status of
the subjects were investigated to identify ADHD subtypes.

Methods:
A modified fuzzy c-means with an elbow approach has been proposed to overcome the
drawbacks of previous fuzzy c-means methods and improve segmentation performance. The volume of
segmented grey matter was included with the phenotypic information of the ADHD-200 dataset for
data analysis of typically developing (TD) and ADHD subtypes.

Results:
The proposed segmentation exhibited a dice similarity index of 95%. ADHD-Inattentive exhibited
a loss of grey matter in the prefrontal cortex, while ADHD-hyperactive exhibited a loss of grey
matter in the cerebellum when compared to TD. The analysis of ADHD subtypes based on age and
gender showed that children transitioning to adolescence are mostly affected by ADHD-inattentive and
female kids are less prone to ADHD-hyperactive. The whole grey matter volume of ADHD-inattentive
children, on average, was found to be approximately 4% less than ADHD-combined. Furthermore, the
whole grey matter volume was less in non-medication naive children.

Conclusion:
This study may support healthcare providers in giving appropriate occupational therapy
based on the identification of different ADHD subtypes.
SARS-CoV-2 Pandemic-Therapeutics in Warp Speed
Authors: Sen Sourav , Kumar Nitin 
Published: January 2023

Abstract:
Ever since the coronavirus disease 2019 (COVID-19) pandemic struck, the
challenges posed to the scientific community by its causative agent, the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) have been countless, and still continue
to emerge. Even though a host of repurposed and new therapeutic agents as well
as vaccines have been, and are being assessed at a breakneck speed, this contagion
continues to create havoc, returning back in waves, with appearance of newer viral
variants which are associated with numerous challenges, which include greater transmissibility,
increased virulence, immune escape, etc. In this study,we discuss the current
status of various therapeutic agents which are being used, or in the various stages
of preclinical/clinical trials for managing COVID-19.
The Evaluation of Health Care Services for Children and Adolescents With Post–COVID-19 Condition: Protocol for a Prospective Longitudinal Study
Authors: Rathgeb Chiara , Pawellek Maja , Behrends Uta , Alberer Martin , Kabesch Michael , Gerling Stephan , Brandstetter Susanne , Apfelbacher Christian 
Published: January 2023

Background
Some children and adolescents suffer from late effects of a SARS-CoV-2 infection despite a frequently mild course of the disease. Nevertheless, extensive care for post–COVID-19 condition, also known as post–COVID-19 syndrome, in children and young people is not yet available. A comprehensive care network, Post-COVID Kids Bavaria (PoCo), for children and adolescents with post–COVID-19 condition has been set up as a model project in Bavaria, Germany.

Objective
The aim of this study is to evaluate the health care services provided within this network structure of care for children and adolescents with post–COVID-19 condition in a pre-post study design.

Methods
We have already recruited 117 children and adolescents aged up to 17 years with post–COVID-19 condition who were diagnosed and treated in 16 participating outpatient clinics. Health care use, treatment satisfaction, patient-reported outcomes related to health-related quality of life (the primary endpoint), fatigue, postexertional malaise, and mental health are being assessed at different time points (at baseline and after 4 weeks, 3 months, and 6 months) using routine data, interviews, and self-report questionnaires.

Results
The study recruitment process ran from April 2022 until December 2022. Interim analyses will be carried out. A full analysis of the data will be conducted after follow-up assessment is completed, and the results will be published.

Conclusions
The results will contribute to the evaluation of therapeutic services provided for post–COVID-19 condition in children and adolescents, and avenues for optimizing care may be identified.

International Registered Report Identifier (IRRID)
DERR1-10.2196/41010