bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiometabolic, Functional, and Psychosocial Effects of a Remotely Supervised Home- based Exercise Program in Individuals with Type 2 Diabetes (RED Study): A Randomized Clinical Trial
Authors: Rodrigues Samara Nickel , Delevatti Rodrigo Sudatti , Carvalho Mauricio Tatsch Ximenes , Alberton Cristine Lima 
Published: February 2023

Abstract
Background: Type 2 diabetes mellitus (T2D) is a serious global health problem, and exercise is considered an essential non-pharmacological tool in T2D prevention and treatment. During periods of social isolation experienced by the COVID-19 pandemic, home-based exercise programs were strongly recommended as a strategy to facilitate exercise practice and reduce the negative impacts of social isolation. Remotely supervised exercise stands out as an easily accessible strategy after the pandemic, as it is a tool that aims to facilitate access to exercise by this population. The purpose of the RED study is to verify the effects of a remotely supervised home-based exercise program compared to a control group on cardiometabolic, functional, and psychosocial outcomes in patients with T2D.
Methods: Participants are randomized into the control group (CG) and the intervention group (IG). The CG receives recommendations for the physical activity practice, while the IG will perform a 12-week home-based exercise program supervised remotely by video call. The participants’ cardiometabolic, functional, and psychosocial parameters are assessed at baseline (week 0) and post-intervention (week 13).
Discussion: It is expected that the results of the proposed study will benefit the knowledge base of health professionals and provide more evidence for a growing area, i.e., home-based exercise and T2D. Additionally, the expectation is to verify and demonstrate whether this program can be accessible and effective for different health outcomes in patients with T2D.
Trial Registration: The RED study protocol was prospectively registered at ClinicalTrials.gov (NCT05362071). Date registered April 6, 2022.
Complete chloroplast genomes of six Neotropical palm tree species: genome structure comparison, identification of repeats sequences and evolutionary dynamic patterns
Authors: Francisconi Ana Flávia , Marroquín Jonathan Andre Morales , Cauz-Santos Luiz Augusto , Berg Cássio van den , Martins Kaunne Karolina , Costa Marcones Ferreira , Picanço-Rodrigues Doriane , de Alencar Luciano Delmodes , Zanello Cesar Augusto , Colombo Carlos Augusto , Hernández Brenda Gabriela Díaz , Amaral Danilo Trabuco , Lopes Maria Teresa Gomes , Veasey Elizabeth Ann , Zucchi Maria Imaculada 
Published: February 2023

Abstract
The Arecaceae family has a worldwide distribution, specially in the tropical and subtropical regions. We sequenced the chloroplast genome of Acrocomia intumescens and A. totai, widely used in the food and energy industry, Bactris gasipaes, important for palm heart, Copernicia alba and C. prunifera, worldwide known for wax utilization, and Syagrus romanzoffiana, of great ornamental potential. Copernicia spp. showed the largest chloroplast genomes (C. prunifera: 157,323 bp and C. alba: 157,192 bp), while B. gasipaes presented the smallest (155,078 bp). Copernicia spp. had two more gene copies (trnL-GAG) than the others, and S. romanzoffianaunderwent pseudogenization in one copy of rps19. Structurally, great synteny was detected among palms. Conservation was also observed in the distribution of single sequence repeats (SSR). Copernicia spp. presented less dispersed repeats, without occurrence in the small single copy (SSC). All RNA editing sites were C (cytidine) to U (uridine) conversions. Overall, closer phylogenetically species shared more sites. Almost all nodes of the phylogenetic analysis showed posterior probability (PP) of 1.0, reaffirming the close relationship between Acrocomia species. These results elucidate the conservation among palm chloroplast genomes but point to subtle structural changes, providing support for the evolutionary dynamics of the Arecaceae family.
Effects of Floating Macrophytes on Evaporation Rates in Tropical Reservoirs
Authors: Rodrigues Italo Sampaio , Costa Carlos Alexandre Gomes , Teixeira Adunias dos Santos , Neto Iran Eduardo Lima , Lopes Fernando Bezerra Lopes , de Araújo José Carlos 
Published: February 2023

AbstractReservoir evaporation represents one of the most significant forms of water loss in tropical and semi-arid areas, but methods to accurately quantify evaporation fluxes at large scales are currently missing. The objectives of this study were: (1) to estimate evaporation in two Brazilian tropical reservoirs by calibrating the Stephens-Stewart equation through remote sensing, and (2) to assess the relationship between macrophyte coverage and evaporation. The calibrated Stephens-Stewart equation provided similar results to class A pan reference measurements (root mean square error of 0.8 mm/day). The two reservoirs yielded an evaporation volume that would be sufficient to meet the water needs of almost a million people. Furthermore, due to the poor water quality of one of the reservoirs, an important percentage of its surface area was covered by macrophytes. Macrophyte coverage was negatively correlated with the evaporation flux (R²=0.76), and led on average to an 11% reduction of the estimated evaporation rate. Overall, the results of this study demonstrate the usefulness of using remote sensing products to estimate reservoir evaporation and outline the need to better understand the relationship between macrophyte cover and reservoir evaporation in tropical and semi-arid areas.
Combined β-Sitosterol and Trimetazidine mitigate potassium dichromate-induced cardiotoxicity in rats through the interplay between NF-κB/AMPK/mTOR/TLR4 and HO-1/NADPH signaling pathways
Authors: El-Shoura Ehab A.M. , Salem Maha , Ahmed Yasmine H. , Ahmed Lamiaa Khalaf , Zaafar Dalia 
Published: February 2023

Abstract
Hexavalent chromium salt, like potassium dichromate (PD), is chromium's most precarious valence state, present in industrial wastes. Recently, there has been increasing interest in β-sitosterol (BSS), a bioactive phytosterol, as a dietary supplement. BSS is recommended in treating cardiovascular disorders due to its antioxidant effect. Trimetazidine (TMZ) was used traditiovally for cardioprotection. Through the administration of BSS and TMZ, the cardiotoxic effects of PD were to be countered in this study, in addition to examining the precise mechanism of PD-induced cardiotoxicity. Thirty male albino rats were divided into five groups; the control group: administered normal saline daily (3 mL/kg); the PD group: administered normal saline daily (3 mL/kg); BSS group: administered BSS daily (20 mg/kg); TMZ group: administered TMZ daily (15 mg/kg). BSS+TMZ group: administered both BSS (20 mg/kg) and TMZ (15 mg/kg) daily. All experimental groups, except the control, received on the 19th day a single dose of PD (30 mg/kg/day, SC). Normal saline, BSS, and TMZ were received daily for 21 consecutive days orally. The exposure to PD promoted different oxidative stress, proinflammatory, and cardiotoxicity biomarkers. BSS or TMZ succeeded solely in reducing this deleterious effect; however, their combination notably returns measured biomarkers close to normal values. The histopathological investigations have supported the biochemical findings. The combination of BSS and TMZ protects against PD cardiotoxicity in rats by reducing oxidative stress and apoptotic and inflammatory biomarkers. It may be promising for alleviating and treating PD-induced cardiotoxicity in people at an early stage.
Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population
Authors: Song Minsun , Kwak Soo Heon , Kim Jihyun 
Published: February 2023

Abstract
Joint modelling of genetic and environmental risk factors can provide important information to predict the risk of type 2 diabetes (T2D). Therefore, to predict the genetic risk of T2D, we constructed a polygenic risk score (PRS) using genotype data of one Korean cohort, KARE (745 cases and 2549 controls), and the genome-wide association study summary statistics of Biobank Japan. We evaluated the performance of PRS in an independent Korean cohort, HEXA (5684 cases and 35703 controls). Individuals with T2D had a significantly higher mean PRS than controls (0.478 vs. -0.076, p ≈ 0). PRS predicted the risk of T2D with an AUC of 0.654 (95% CI: 0.646–0.662). We also evaluated interaction between PRS and waist circumference (WC) in the HEXA cohort. PRS exhibited a significant sub-multiplicative interaction with WC (ORinteraction= 0.992, 95% CI: 0.989–0.996, pinteraction=0.0001) in T2D. The effect of WC on T2D decreased as PRS increased. The sex-specific analyses produced similar interaction results, revealing a decreased WC effect on T2D as the PRS increased. In conclusion, the risk of WC for T2D may differ depending on PRS and those with a high PRS might develop T2D with a lower WC threshold. Our findings are expected to improve risk prediction for T2D and facilitate the identification of individuals at an increased risk of T2D.
Irreversible HER2 inhibitors overcome resistance to the RSL3 ferroptosis inducer in non-HER2 amplified luminal breast cancer
Authors: Park Soonyoung , Jeong Kang Jin , Poire Alfonso , Zhang Dong , Tsang Yiu Huen , Blucher Aurora , Mills Gordon 
Published: February 2023

Abstract
Ferroptosis, a form of programed cell death, can be promoted by inhibitors of the xCT transporter (erastin) or GPX4 (RSL3). GPX4, but not the xCT transporter, is selectively elevated in luminal breast cancer. Consistent with this observation, the majority of luminal breast cancer cell lines are exquisitely sensitive to RSL3 with limited sensitivity to erastin. In RSL3 resistant, but not sensitive, luminal breast cancer cell lines, RSL3 induces HER2 pathway activation. Irreversible HER2 inhibitors including neratinib reversed RSL3 resistance in constitutively RSL3-resistant cell lines. Combination treatment with RSL3 and neratinib increases ferroptosis through mitochondrial iron-dependent reactive oxygen species production and lipid peroxidation. RSL3 also activated replication stress and concomitant S phase and G2/M blockade leading to sensitivity to targeting the DNA damage checkpoint. Together, our data supports exploration of RSL3 combined with irreversible HER2 inhibitors in clinical trials.
Cross-Modal Semantic Analysis by Tri-factorized Modular Hypergraph Autoencoder
Authors: Malik Shaily , Bansal Poonam , Jatana Nishtha , Dhand Geetika , Sheoran Kavita 
Published: February 2023

Abstract
The data from different sensors, cameras, and their text descriptions needs their features to be mapped into a common latent space with lower dimensions for image-to-text and text-to-image classifications. These low-dimensional features should incur maximum information with minimum losses. The cross-modal semantic autoencoder is proposed in this paper, which factorizes the features into a lower rank by nonnegative matrix factorization (NMF). The conventional NMF lacks to map the complete information into lower space due to two matrix factorization which is overcome by a novel tri-factor NMF with hypergraph regularization. A more information-rich modularity matrix is proposed in hypergraph regularization in place of the feature adjacency matrix. This tri-factorized hypergraph regularized multimodal autoencoder is tested on the Wiki dataset for the image-to-text and text-to-image conversion. This novel autoencoder is also supported by Multimodal Conditional Principal label space transformation (MCPLST) to reduce the dimension of the features. The proposed autoencoder observed a classification accuracy improvement of up to 1.8 % than the semantic autoencoder.
Power analysis of cell-type deconvolution methods across tissues
Authors: Pournara Anna Vathrakokoili , Miao Zhichao , Beker Ozgur , Brazma Alvis , Papatheodorou Irene 
Published: February 2023

Abstract
Cell-type deconvolution methods aim to infer cell-type composition and the cell abundances from bulk transcriptomic data. The proliferation of currently developed methods, coupled with the inconsistent results obtained in many cases, highlights the pressing need for guidance in the selection of appropriate methods. Previous proposed tests have primarily been focused on simulated data and have seen limited application to actual datasets. The growing accessibility of systematic single-cell RNA sequencing datasets, often accompanied by bulk RNA sequencing from related or matched samples, makes it possible to benchmark the existing deconvolution methods more objectively. Here, we propose a comprehensive assessment of 29 available deconvolution methods, leveraging single-cell RNA-sequencing data from different tissues. We offer a new comprehensive framework to evaluate deconvolution across a wide range of simulation scenarios and we show that single-cell regression-based deconvolution methods perform well but their performance is highly dependent on the reference selection and the tissue type. We validate deconvolution results on a gold standard bulk PBMC dataset with well known cell-type proportions and suggest a novel methodology for consensus prediction of cell-type proportions for cases when ground truth is not available. Our study also explores the significant impact of various batch effects on deconvolution, including those associated with sample, study, and technology, which have been previously overlooked. The evaluation of cell-type prediction methods is provided in a modularised pipeline for reproducibility (https://github.com/Functional-Genomics/CATD_snakemake). Lastly, we suggest that the Critical Assessment of Transcriptomic Deconvolution (CATD) pipeline can be employed for the efficient, simultaneous deconvolution of hundreds of real bulk samples, utilising various references. We envision it to be used for speeding up the evaluation of newly published methods in the future and for systematic deconvolution of real samples.
Particulate matter exposure increases the risk of reduction in human fecundity in South Asia
Authors: Wang Huailin , Zhu Zhenghong , Benmarhnia Tarik , Jalaludin Bin , Chen Xin , Wulayin Maimaitiminjiang , Huang Cunrui , Zhang Tuantuan , Xu Lianlian , Wang Qiong 
Published: February 2023

Abstract
The estimated infertility prevalence in South Asia was among the highest in the world, however, epidemiological study concerning the effects of particulate matter exposure was absent in this region. Utilizing the well-adopted Demographic and Health Survey data, 27,462 eligible women were included to estimate fecundity and its association with particulate matter exposure in South Asia. The couple’s fecundity, including time to pregnancy and infertility prevalence, was estimated to be from 5.53 to 11.57 months, and from 26–49%, respectively. An overall association of reduced fecundity with increased particulate matter exposure was identified, with adjusted fertility time ratios (95% confidence intervals) being 1.05 (1.04, 1.06), 1.04 (1.03, 1.05), and 1.01 (1.01, 1.02) per 10 µg/m3 increment in PM1, PM2.5, and PM10, respectively. Furthermore, millions of months’ delay in achieving pregnancy might be attributed to particulate matter exposure. Here, our findings suggest that human fecundity is threatened by ambient particulate matter in South Asia.
Risk factors for Gestational diabetes mellitus among pregnant women attending antenatal clinic in Kisumu City, western Kenya
Authors: Ottaro Anita Amukhuma , Ayodo George , Amolo Asito S. 
Published: February 2023

Abstract
Background: Globally there is a rapid increase in the prevalence of Gestational diabetes mellitus (GDM) associated with adverse maternal and neonatal outcomes. However, screening for GDM is not part of the standard routine antenatal (ANC) services in Kenya. There is a paucity of data on the factors associated with and predictors of GDM. Therefore, this study sought to determine factors associated with and predictors of GDM among pregnant women in western Kenya.
Methods: A case-control study was conducted from September 2021-October 2022. Using a validated questionnaire, data were obtained from 210 randomly sampled pregnant women attending antenatal clinic at Jaramogi Oginga Odinga Teaching and Referral Hospital (JOOTRH) in Kisumu city, western Kenya. Screening and diagnosis for Gestational Diabetes mellitus was performed using the 2013 World Health Organization (WHO) criteria. Both descriptive and inferential statistical analysis were done in SPSS V.23 using Chi-square (χ2) test to test for associations and Binary logistic regression analysis to determine predictors of GDM.
Results. Among the 105 GDM cases, majority were in 30-34 years age group (51%), overweight with a BMI of 25-29.9 kg/m2 (56%), had history of hypertension (53%), had hypertensive relatives (64%), had history of glycosuria (64%), were multiparous (69%), had history of cesarean delivery (61%), had history of macrosomic delivery (63%) and had history of neonatal intensive care unit (NICU) admission (53%). Multivariate analysis revealed that living in peri-urban area (adjusted OR [aOR] 3.30, 95%CI: 1.04-11.3, p=0.048), having a diabetic relative (aOR 8.09, 95%CI: 1.44- 73.0, p=0.031), being on iron-folic acid supplementation (IFAS) (aOR 13.0, 95%CI: 4.37-47.8, <0.001), having history of neonatal intensive care unit admission (NICU) (aOR 13.9, 95%CI: 3.45-70.5, p<0.001) and history of caesarean delivery (aOR 5.02, 95%CI: 1.42-19.5, p=0.015) significantly increased the odds of having GDM.
Conclusion: The predictors of GDM include having a diabetic relative, history of cesarean section, NICU admission and being on IFAS. There is need to incorporate GDM screening in the standard ANC services for optimal pregnancy outcomes. Multicenter studies looking at the long term effects of IFAS should be carried out to inform evidence based nutrition interventions during pregnancy.
Accelerated Dynamic Magnetic Resonance Imaging from Spatial-Subspace Reconstructions (SPARS)
Authors: Mertens Alexander J. , Cheng Hai-Ling Margaret 
Published: February 2023

Abstract
Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) ideally requires a high spatial and high temporal resolution, but hardware limitations prevent acquisitions from simultaneously achieving both. Existing image reconstruction techniques can artificially create spatial resolution at a given temporal resolution by estimating data that is not acquired, but, ultimately, spatial details are sacrificed at very high acceleration rates. The purpose of this paper is to introduce the concept of spatial subspace reconstructions (SPARS) and demonstrate its ability to reconstruct high spatial resolution dynamic images from as few as one acquired radial spoke per dynamic frame. Briefly, a low-temporal-high-spatial resolution organization of the acquired raw data is used to estimate a spatial subspace in which the high-temporal-high-spatial ground truth data resides. This subspace is then used to estimate entire images from single k-space spokes. In both simulated and human in-vivo data, the proposed SPARS reconstruction method outperformed standard GRASP and GRASP-Pro reconstruction, providing a shorter reconstruction time and yielding higher accuracy from both a spatial and temporal perspective.
Affective and cognitive symptoms associated with burnout in a general population: Are there sex-related differences?
Authors: Sundström Anna E , Löfgren Erland , Nordqvist Jarl , Nordin Steven 
Published: February 2023

Abstract
Background
Burnout is an increasing public health problem. Although research indicate that cognitive and affective factors are related to burnout, there is a lack of knowledge about the extent to which specific cognitive and affective symptoms are related to burnout, and whether there are sex-related differences. An aim of this study was to identify specific cognitive and affective symptoms that are particularly associated with burnout, both in the population in general and in men and women separately. Another aim was to examine the risk of burnout for specific symptoms and total number of symptoms in the general population and in men and women separately.
Methods
Cross-sectional data were used from a large population-based questionnaire study consisting of 3406 participants (18–79 years) randomly selected from a general population in northern Sweden. Eleven cognitive and affective symptoms were assessed with a subsection of the Environmental Hypersensitivity Symptom Inventory, and the 22-item Shirom-Melamed Burnout Questionnaire (SMBQ) was used to assess burnout. Based on their total SMBQ score, participants constituted either a case group of burnout (SMBQ score ≥ 4) or a reference group (SMBQ score < 4).
Results
The prevalence rate was higher in the burnout group for all specific cognitive and affective symptoms, as was also the total number of symptoms. The most common symptoms were feeling tired/lethargic, concentration difficulties, absent minded and feeling depressed. Women with burnout reported higher prevalence of feeling tired/lethargic and sleep disturbance. The results further showed a 1.68 times increased risk of having burnout for each additional symptom. Moreover, experiencing individual cognitive and affective symptoms, in particular feeling depressed, concentration difficulties and feeling tired/lethargic, were associated with being at high risk of burnout.
Conclusions
The findings suggest that burnout is associated with a rather large number of cognitive and affective symptoms, in particular feeling tired/lethargic, having concentration difficulties, sleep disturbance, feeling depressed and being absent minded. The results add to the understanding of affective and cognitive symptomatology in burnout, which might have implications for early identification and prevention of burnout and exhaustion disorder.
An Integrated New GIS-Based Multicriteria Approach for Identifying Potential Sites for Groundwater Artificial Recharge
Authors: Shaban Amin , Hage Mhamad El , Farhat Nasser 
Published: February 2023

Abstract
Coastal zones are witnessing excessive abstraction of groundwater due to the exacerbated water demand, and this impacted groundwater depth in the major coastal aquifers. Groundwater Artificial Recharge (GWAR) is often presented as an adaptive solution to protect coastal aquifers. However, sites positioning for GWAR is still a matter of debate, notably in identifying factors controlling GWAR and thus erroneous site selection results. A new method for locating sites suitable for GWAR using remote sensing and GIS is proposed in this study. It consists in analysing several factors influencing the recharge rate and the relevant spatial aspects of runoff mechanism and integrates geographic patches (as polygons) with linear features of watercourses (as polylines) and eventually with the points which are represented by streams' confluences and represent the best sites for GWAR. The method was applied on the coastal zone of Lebanon as a typical Mediterranean Region, where water table has been lowered to more than 25 m and most coastal aquifers are exhausted; this has been associated with saltwater intrusion which is widely spread over several kilometres on-land. The systematic manipulation of the influencing factors in the studied zone enabled determining 13 sites with primary priority to GWAR, besides 15 sites with secondary priority. The results are helpful for decision makers and concerned stakeholder to select potential GWAR sites for better water management approaches in the coastal zones.