bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping Novel Glucose tolerance specific QTL in the Collaborative Cross mice
Authors: Abu-Toamih-Atamni Hanifa J. , Lone Iqbal M. , Binenbaum Ilona , Mott Richard , Pilalis Eleftherios , Chatziioannou Aristotelis , Iraqi Fuad 
Published: July 2023

Abstract
A chronic metabolic illness, type 2 diabetes (T2D) is a polygenic and multifactorial complicated disease. With an estimated 463 million persons aged 20 to 79 having diabetes, the number is expected to rise to 700 million by 2045, creating a significant worldwide health burden. Polygenic variants of diabetes are influenced by environmental variables. Diabetes polygenic variants frequently run in families. T2D is regarded as a silent illness that can advance for years before being diagnosed. Numerous metabolic issues are noticed once T2D is diagnosed, either as comorbidities or as side effects. Finding genetic markers for T2D and metabolic syndrome in groups with similar environmental exposure is therefore essential to understanding the mechanism of such complex characteristic illnesses. So herein, we demonstrated the exclusive use of the collaborative cross (CC) mouse reference population to identify novel quantitative trait loci (QTL) and, subsequently, suggested genes associated with host glucose tolerance in response to a high-fat diet. In the current study, we used 539 mice from 60 different CC lines. The diabetogenic effect in response to high-fat dietary challenge was measured by the intraperitoneal glucose tolerance test (IPGTT) after 12 weeks of dietary challenge. Data analysis was performed using a statistical software package IBM SPSS Statistic 23. Using the mouse genome informatics (MGI) database resource enabled us to examine the reported QTL in detail for genetic features related to glucose metabolism. Afterward, the total area under the curve (AUC0-180) of the glucose clearance was computed and utilized as a marker for the presence and severity of diabetes. The observed AUC0-180 averages for males and females were 51267.5 and 36537.5 mg/dL, respectively, representing a 1.4-fold difference in favor of females with lower AUC0-180 indicating adequate glucose clearance. The AUC0-180 mean differences between the sexes within each specific CC line varied widely within the CC population. A total of 46 new QTL, designated as T2DSL and its number, for Type 2 Diabetes Specific Locus and its number, were identified during our study, among which 19 QTL are novel. The interval locations of these novel QTL have not been found in any other previously identified QTL. The remaining 27 QTL observed during our study have been fine mapped. As far as the genome-wide significance is concerned, three sets of QTL were identified during our entire study. The first group is the one which had a 50% of genome-wide significance, the second group is of 90%, and the third group had a 95% of genome-wide significance. Further, our study showed a complex pattern of haplotype effects of the founders, with the wild-derived strains (mainly PWK) playing a significant role in the increase of AUC values.
Characterization and expression analysis of two mitogen-activated protein kinase kinase kinase genes from Antarctic moss Pohlia nutans
Authors: Li Chaochao , Liu Shenghao , Kong Qin , Zhang Pengying 
Published: July 2023

Abstract

Mitogen activated protein kinase (MAPK) signaling plays essential roles in plant growth, development and responses to environmental stresses. However, only limited information is available on the MAPK signaling genes in the bryophytes. Two full-length of mitogen-activated protein kinase kinase kinase genes (designated as PnMEKK1 and PnMEKK2) were identified from Antarctic moss Pohlia nutans. The full length cDNA of PnMEKK1 and PnMEKK2 were 3012 bp and 3096 bp, encoding the receptor-like kinases of 804 and 576 amino acids, respectively. Multiple sequence alignment showed that PnMEKK1 and PnMEKK2 possessed the conserved STKc_MAP3K-like domains, but they had relatively low identities with other protein kinases. Phylogenetic analysis showed that they clustered together with the protein kinases of ferns and mosses but not higher plants. In addition, the subcellular localization analysis by observing the transient expression of PnMEKK-green fluorescence protein in Arabidopsis mesophyll protoplasts revealed that PnMEKK1 and PnMEKK2 were cytoplasm-localized protein kinases. Meanwhile, the mRNA expression profile of PnMEKK1 and PnMEKK2 were quantified by quantitative RT-PCR. Results showed that cold, salinity, drought and UV-B radiation could motivate the up-regulation of PnMEKK1 and PnMEKK2 mRNA expression. In addition, the application of plant hormone abscisic acid (ABA) and methyl jasmonate (MeJA) also could up-regulate the mRNA expression level. Taken together, we purposed that these two isolated PnMEKKs might involve in Antarctic mosses Pohlia nutans adapting to the polar extreme environments.
Developing new solar radiation estimation models with machine learning techniques and testing their efficiency in various places
Authors: Kaplan Yusuf Alper , Tolun Gülizar Gizem , Batur Emre 
Published: July 2023

Abstract
Renewable energy sources have become a popular topic all over the world in terms of cost, efficiency, and environmental pollution. Solar energy is one of the most important renewable energy sources. As the use of solar energy sources increases, modeling the solar radiation (SR) intensity, which is costly and difficult to measure, has become an essential issue. The main aim of this study is to determine the Angstrom coefficients for SR estimation using machine learning (ML) techniques. The linear regression and support vector machine (SVM) regression approaches were used in the MATLAB program to determine the Angstrom coefficients. To examine how the performance of this new approach varies by region, four different regions were identified. To evaluate the performance of the developed models, four different statistical tests were applied. According to these test results, it has been concluded that the developed models with the ML approach in SR estimation are highly successful in general. The SVM and linear regression methods used in the ML algorithm have estimation results very close to the real values in all selected regions. When the results were evaluated in general, it was seen that method SVM regression performed better than method linear regression in all selected regions.
WITHDRAWN: Metformin and exercise reduce miR-133a expression in skeletal muscles of diabetic rats
Authors: Alivaisi Elahe , Amini Sabrieh , Haghani Karimeh , Laher Ismail , Ghaneialvar Hori , Keshavarzi Fatemeh 
Published: July 2023

Abstract
Background
Exercise training regulates the expression of miRs in diabetes. We investigated the effects of metformin alone or in combination with high-intensity interval training (HIIT) and moderate continuous training (MCT) on miR-133a expression in skeletal muscles of diabetic rats. Sprague-Dawley rats were randomly allocated into nine groups (n = 10 per group): control group (CG), control group + MCT group (CMTG), control group + HIIT group (CHTG), diabetic control group (CDG), diabetic + metformin group (DMG), diabetic + HIIT group (DHTG), diabetic + MCT group (DMTG), diabetic + metformin and MCT group (DMMTG), diabetic + metformin and HIIT group (DMHTG). Type 2 diabetes mellitus was induced in Sprague-Dawley rats and exercise protocols were performed for eight weeks. MiR-133a was extracted from skeletal muscles and their expression profile was determined by real-time reverse-transcription polymerase chain reaction (RT-PCR).
Results
The expression of miR-133a was increased in skeletal muscles of sedentary diabetic rats (CDG) in comparison to treated (CMTG,CHTG,DMG, DMTG) and healthy controls (CG). Treatment with either HIIT and MCT reduced miR-133a expression, but the combination of HIIT and MCT caused to a further reduction of miR-133a expression in diabetic rats.
Conclusion
The increased expression of MiR-133a in skeletal muscles of rats can be attenuated by metformin and / or HIIT and MCT. This presents an intervention target that could be used in preventing, treating, and/or delaying diabetes.
Water-soluble intracellular extract of Desmodesmus sp.YT enhanced the antioxidant capacity of human skin fibroblast to protect the skin from UV damage
Authors: Ying Ming , Zeng Zuye , Li Qin , Chen Xianglan , Xiong Ying , Wu Bo , Peng Liang , Zhang Qian , Wang Li , Dai Zhongming , Li Shuangfei , Chen Huirong , Yang Xuewei 
Published: July 2023

Abstract
Ultraviolet (UV) radiation-induced oxidative stress damage is a significant catalyst for skin aging and can even contribute to the development of skin cancer. In this study, the mechanism of how water-soluble intracellular extract (WIE) of Desmodesmus sp.YT (YT) prevent human skin fibroblast (HSF) against the oxidative damage caused by UV radiation were explored. Results showed that YT-WIE exhibited great antioxidant activity. The potent scavenging ability activity was observed in DPPH (IC50 = 0.55 mg mL-1), ABTS (IC50 = 3.11 mg mL-1), ·OH (IC50 = 2.21 mg mL-1) and O2•-(IC50 = 0.98 mg mL-1). Additionally, the findings indicated that when compared to the control group, YT-WIE group exhibited an 89.30% enhancement in the viability of HSF and a 44.63% increase in the survival rate following UV irradiation. To investigate the underlying mechanism, comprehensive analysis of gene transcription and translation was conducted using RT-qPCR and Western blot. The results demonstrated a significant upregulation of antioxidant genes (GCLC, GCLM, TXNRD1, HMOX1, NQO1) by YT-WIE treatment at a concentration of 400 µg mL-1, with fold increases ranging from 1.13 to 5.85 times. Therefore, YT-WIE exhibited a great potential to serve as antioxidants that can protect human cells from excessive oxidative stress caused by outer stimulus, such as UV.
Complex symmetry of H-Toeplitz operators on the Bergman space
Authors: Gupta Anuradha , Singh Deepika 
Published: July 2023

Abstract
In this paper, we have studied complex symmetry of H-Toeplitz operators Bϕ on the Bergman space A2(D). An H-Toeplitz operator is a generalization of a Toeplitz operator as well as that of a Hankel operator but it itself is neither Hankel nor Toeplitz. We have characterized complex symmetry of Bϕ with respect to the conjugations C and Cμ,γ, where μ, γ ∈ C. It is also proved that a non-trivial H-Toeplitz operator Bϕ can either be an isometry (co-isometry) or Cμ,γ-symmetric but not both.
Mathematics Subject Classification (2010). Class: 47Bxx, Subclass: 47B32, 47B38.
Natural Killer Cell-Associated Radiogenomics Subtyping of Hepatocellular Carcinoma Based on CD2 Expression and Enhanced CT-Derived Radiomics Signatures
Authors: Chen Yan-zhu , Meng Zhi-shang , Xiang Zuo-lin 
Published: July 2023

Abstract
Background
Chimeric antigen receptor (CAR)-natural killer (NK) cell therapy has shown variable efficacy in patients with hepatocellular carcinoma (HCC). The present study sought to identify NK cell-related prognostic biomarkers, and to develop a non-invasive radiomics signature in patients with HCC.
Methods
Transcriptomic data from five independent cohorts, consisting of 734 HCC patients, in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were analyzed using the Microenvironment Cell Populations-counter (MCP-counter) algorithm. NK cell-related prognostic biomarkers were identified using weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO)-Cox regression analyses. Radiomics models related to NK cell-related prognostic biomarkers were established using radiomics feature extraction and screening of preoperative enhanced CT images of 168 patients in two datasets from The Cancer Imaging Archive (TCIA) database. HCC radiogenomics subtypes were proposed based on genetic biomarkers and radiomics models.
Results
CD2 expression was an independent NK cell-associated prognostic biomarker in HCC patients, being associated with improved overall, progression-free, and recurrence-free survival, and correlating with NK cell-associated pathways and biological processes in HCC. A reliable non-invasive prognostic radiomics model for HCC was established using enhanced CT images. The combination of CD2 expression and radioscore identified potential HCC radiogenomics subtypes, thus explaining the prognostic differences caused by heterogeneity based on genomics and NK cell-associated biological processes.
Conclusions
HCC can be classified into radiogenomic subtypes, explaining in part the complex heterogeneity of HCC. These findings may facilitate the development of personalized treatment strategies using CAR-NK cells in patients with HCC.
Diagnostic Accuracy of Biomarkers in CNS-originating Extracellular Vesicles for Parkinsonian Disorders: A meta-analysis
Authors: Taha Hash Brown , Bogoniewski Aleks 
Published: July 2023

Abstract
Parkinsonian disorders, including Parkinson's disease (PD), multiple system atrophy (MSA), dementia with Lewy bodies (DLB), progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS), exhibit overlapping early-stage symptoms, complicating definitive diagnosis despite heterogeneous cellular and regional pathophysiology. Additionally, the progression and eventual conversion of prodromal conditions such as REM behavior disorder (RBD) to PD, MSA or DLB remains difficult to predict. Extracellular vesicles (EVs) are small, membrane-enclosed structures released by cells, playing a vital role in communicating cell-state-specific messages. Due to their ability to cross the blood-brain-barrier into the peripheral circulation, the measurement of biomarkers in blood-isolated putative CNS-originating EVs has become a popular diagnostic approach. However, replication and independent validation remain challenges in this field. We conducted a PRISMA-guided systematic review and meta-analysis, covering 15 studies with a total of 1,455 patients with PD, 206 MSA, 21 DLB, 172 PSP, 152 CBS, 189 RBD and 1,045 healthy controls (HCs), employing either hierarchical bivariate models or univariate models based on study size. Diagnostic accuracy was moderate for differentiating patients with PD from HCs, but revealed high heterogeneity and significant publication bias, suggesting an inflation of the perceived diagnostic effectiveness. The bias observed indicates that studies with non-significant or lower effect sizes were less likely to be published. Although results for differentiating patients with PD from MSA or PSP and CBS appeared promising, their validity is limited due to the small number of involved studies coming from the same research group. Despite initial reports, our analyses suggest that using CNS-originating EV biomarkers may not reliably differentiate patients with MSA from HCs or patients with RBD from HCs, due to their lesser accuracy and substantial variability among the studies, further complicated by potential publication bias. Our findings underscore the moderate yet unreliable diagnostic accuracy of putative CNS-originating EV biomarkers in differentiating Parkinsonian disorders, highlighting the presence of substantial heterogeneity and significant publication bias. These observations reinforce the need for larger, more standardized, and unbiased studies to validate and enhance the utility of EV biomarkers in the differential diagnosis of these conditions.
Cooling and purification effect of permeable pavements
Authors: Luo Hui , Yang Jing , Zhang Wenhao , Yang Mingyu , Chen Limin , He Bao-Jie 
Published: July 2023

Abstract
Permeable pavement is a widely used stormwater runoff blocking technology in sponge city construction. Its application to urban motorized/non-motorized roads is expected to reduce runoff and pollution loads. This study aimed to analyze the nutrient pollution, thermal pollution reduction efficiency and removal pathways of cement permeable bricks (CP-B-Cement), steel slag permeable bricks (SP-B), ceramic permeable bricks (CP-B-Ceramic) and permeable asphalt pavement (PAP) under different pollution loads and rainfall intensities by simulating the different stormwater runoffs. Results indicated that the effluent concentration of different permeable pavements increased with the extension of rainfall duration. Compared with impermeable pavements, the infiltration and water storage capacities of permeable pavements could effectively remove typical pollutants from stormwater runoff. However, the effluent concentrations of all pollutants did not reach the threshold of Class V according to the Environmental Quality Standards for Surface Water except for TP and Zn. Meanwhile, the thermal pollution removal capacity of the permeable pavements ranking from the highest to the lowest was SP-B &gt; CP-B-Cement &gt; CP-B-Ceramic &gt; PAP. The findings in this study provide references for the selection of stormwater source reduction facilities and the development of surface source pollution countermeasures.
Proposal of a new approach to perform advanced flow modeling for subsurface flow treatment wetlands
Authors: Santos Kesley Antonio , Coelho Lineker Max Goulart , Santos Hersilia Andrade 
Published: July 2023

Abstract
This study describes a new approach to model treatment wetlands (TW) by using computational fluid dynamics (CFD) coupled with the discrete element method (DEM). This methodology is based on the adoption of open-source software to perform advanced hydraulic simulations that enable a detailed representation of water flow through CFD as well as solid phase consideration by using DEM. The main features of this approach are highlighted and details on how to perform CFD-DEM modeling of a horizontal flow treatment wetland (HFTW) are described. Validation of the CFD-DEM model was performed on two TW case studies. The results were compared to the Darcy-Forchheimer porous media model. Statistical and hydraulic performance indexes were used to evaluate the efficacy of models. Provided that no calibration was done, the results indicated that for these case studies the CFD-DEM approach outperformed the Darcy-Forchheimer model based on the aforementioned metrics and considering the similarity with experimental results. The application of CFD-DEM coupling for TW proved to be an interesting approach as it enables more complex analysis of the hydrodynamics of TWs, becoming a valuable tool for future research and system optimization.
A Mini Review of the Literature with a Special Focus on India on the
Prevalence of Indian Traditional Medicine (ITM) use During Pregnancy
Authors: Wal Pranay , Dash Biswajit , Gupta Divyanshi , Morris Srishti , Prachi  , Sahani Vibhu , Rai Awani K. , Wal Ankita 
Published: July 2023

Background:
Although pregnancy has been an integral part of women’s lives for millennia,
not all women have found the process comfortable. About 65 percent of women in India consume Indian
traditional herbs during pregnancy. Herbal medicines are used nowadays by up to half of the
world's population. Phytomedicines isolated from plants contain a wide variety of bioactive components
that can have both negative and positive effects. Many herbal plants, such as Sage (Salvia fruticosa),
golden cotula (Matricaria aurea), anise (P. anisum), peppermint (Mentha aquatica), and cumin
(Cuminum cyminum), etc., are used in pregnancy. To minimize the adverse effects, the use of Indian
traditional medicine can be the best possible alternative.

Objective:
Regarding the usage of herbal medicines in India, there are large research gaps and a lack
of a regulatory framework. This article aims to highlight the most common traditional Indian remedies
used by pregnant women, along with their uses and any possible interactions between herbal remedies
and prescription drugs.

Method:
Several databases, including the WHO guidelines, PubMed, Bentham Science, Elsevier,
Springer Nature, Wiley, and Research Gate, were used to compile the data for the article following a
thorough analysis of the various research findings connected to pregnancy and herbs for pregnancy care.

Result:
An overview of the use of herbal medicine is given in this review, along with information on
its limitations and general safety. The prevalence of herbal medicine use during pregnancy in India is
then discussed, along with the uses, adverse effects, side effects, and efficacy of the most popular
herbal medications.

Conclusion:
The use of herbal medicine during pregnancy is a common phenomenon. The outcomes
of this study showed Indian Traditional medicines are known to have numerous advantages that can be
helpful during or after pregnancy, including raising milk production, reducing nausea, easing labor
pains, reducing morning sickness, or reducing flatulence, however, some herbal remedies have the potential
to be teratogenic, poisonous, and abortive, especially during the first trimester of pregnancy because
the active components of some medicinal plants can cross the placental barrier and get to the
foetus. To determine the safety of taking herbal medications, studies, especially clinical trial trials,
must be conducted.
Personalized Intraoperative Radiotherapy Balloon Applicator Design and Production With 3D Printer
Authors: YÜZER Öykü , ÖZER Betül , ÖZDEL Salih Enes , GÜNAY Osman 
Published: July 2023

Radiation is the energy released from matter. Radiation is divided into two according to its source: natural and artificial radiation. Artificial radiation is used in treatment methods in medicine. One of these treatment methods is brachytherapy. Brachytherapy treatment is applied by placing small radioactive sources inside the body and sending beams directly to the cancerous cell. The main thing to consider in brachytherapy treatment is the selection of the applicator. The applicator is the device that enters the patient's body cavity.
In this study, based on the applicators currently used in the medical field, a patient-specific, biocompatible, sterilized, and reusable applicator will be created from PLA material by using a 3D printer.
The applicator to be designed will consist of 2 parts: the intrauterine tube and the spherical tip. The spherical tips, which vary according to the size of the tumor, will be pressed to integrate with the tube part of the applicator. Thus, a patient-specific design will be realized by using the spherical tip suitable for the patient’s tumor region.
As a result of the project, since the applicator will have spherical tips of different sizes, it completely covers the intrabody cavity of the patient. Thus, the movement of the applicator is limited, and dose distribution is prevented. The treatment process of the patient is improved.
Another result is that the prototype applicator printed with PLA filament is produced at a very low cost. Thus, access to the applicator becomes easier and its use in the medical field increases.