bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of the complete chloroplast genome and evolutionary position of Clematis tomentella (Ranunculaceae)
Authors: Liu Wangsuo , Wang Zhanjun , Tian Ying , Ji Bo 
Published: January 2023

Abstract
Background Clematis tomentella 2001 (Ranunculaceae) is a typical drought-tolerant and sand-fixing plant in the desert ecosystem of northwest China. To elucidate the phylogenetic status of C. tomentella and its related species, we determined the complete chloroplast (cp) genome of C. tomentellaand analyzed their interspecific relationships.
Methods and results The complete cp genome sequence of C. tomentella was performed in this study. The result suggested that the cp genome of C. tomentella was 159,816 bp in length, including two inverted repeats of 31,045 bp, a large single copy of 79,535 bp, and a small single copy of 18,191 bp. 136 genes were annotated across the whole cp genome, including 92 protein-coding genes, 8 rRNA genes, and 36 tRNA genes, as well as the GC content accounted for 38%. Crucially, we found that the sequencing regions of psbE-petL, trnG_UCC-atpA, ndhF-rpl32, and rps8-infA were highlydivergent, which could be marked as DNA barcodes for the identification of C. tomentella in Ranunculaceae. A maximum likelihood phylogenetic tree revealed that C. tomentella was closely related to C. fruticosa.
Conclusions Our results filled the gap in cp genome sequence of C. tomentella, elucidating the taxonomic evolutionary position and relationship among Clematis. It provides the references and implications for the phylogenetic study of Clematis in Ranunculaceae in the future.
Angiotensin receptor blockers, but not angiotensin-converting enzyme inhibitors, inhibit abnormal bone changes in spondyloarthritis
Authors: Choi Jin Sun , Kim Ji-Young , Ahn Min-Joo , Jang Hanbit , Song Seungtaek , Jo Sungsin , Choi Sung Hoon , Park Ye-Soo , Kim Tae-Hwan , Shim Seung Cheol 
Published: January 2023

AbstractBackground Spondyloarthritis (SpA) is a chronic inflammatory disease that results in bone ankylosis. The tissue renin-angiotensin system (RAS), updated with new components, is an emerging phenomenon possibly implicated in SpA-associated bone changes. Therefore, we sought to determine the mechanism underlying this relationship. Methods Sakaguchi (SKG) mice injected with curdlan (SKGc), animal models for SpA, were treated with the RAS modulators, angiotensin II receptor blockers (ARBs) or angiotensin-converting enzyme inhibitors (ACEis). Disease activity was assessed using clinical scores and computed tomography scans. Mouse primary bone marrow monocytes (BMMs), osteoblast (OB) progenitor cells, peripheral blood monocytes (PBMCs), and bone-derived cells (BdCs) from patients with radiographic axial SpA (r-axSpA) were used to investigate the role of RAS in SpA pathogenesis. Results The expression of RAS components was significantly high in SKGc mouse joints, wherein ARBs significantly reduced erosion and systemic bone loss, whereas ACEis did not. Osteoclast (OC) differentiation from primary BMMs, mediated by TRAF6, was inhibited by ARBs but promoted by ACEis; the modulators also exerted opposite effects on OB differentiation. Expression of RAS molecules was higher in PBMCs and BdCs of patients with r-axSpA than in control participants. ARBs inhibited OB differentiation in the BdCs of patients with r-axSpA, whereas ACEi did not. Neither ARBs nor ACEis affected OB differentiation in the control participants. Conclusions In SpA, a condition characterized by RAS overexpression, ARBs, but not ACEis, inhibited OC and OB differentiation and bone progression. These findings must be considered when treating patients with SpA using RAS modulators.
Unraveling the Spatial Signature of Gully Erosion in the Arid and Semi-Arid Regions of the Northeast of Iran: Every Single Factor Matters!
Authors: Nalivan Omid Asadi , Islami Iman , Arami Seyed Abdolhossein , Kornejady Aiding , Boustan Ali 
Published: January 2023

AbstractThe present study is aimed to model the spatial pattern of gully distribution across the silt-rich soils of the northeastern loess of Golestan province, Iran. To this end, multiple data-involvement scenarios were designed, and their further contributions to the performance of a presence-only probabilistic model (Maximum Entropy) were assessed. The results revealed that the interconnection of topological and hydrological factors mainly corresponds to the spatial signature of gully distributions across the study area. In particular, valley depth, height above the nearest drainage, and drainage networks contributed the most to the model's performance. Based on the area under the receiver operating characteristic curve (AUROC) index, engaging factors collectively result in the highest goodness-of-fit and prediction power with the respective values of 0.889 and 0.867. The areal extent of the susceptibility classes indicates that approximately 15% (~ 121 km2) of the region is highly susceptible to gully occurrence, which entails further pragmatic actions and mitigation measures.
Exogenous administration of appropriate dose of IL-17A helps to improve multiple organ dysfunction and improve survival in septic mice
Authors: Liang Yonghui , Meng Haining , Xie Weifeng , Meng Xiangqi , Qu Yan 
Published: January 2023

Abstract
Purpose
To explore the effect of exogenous interleukin-17A on multi-organ function and prognosis in septic mice.
Methods
Mice model of sepsis was established by cecal ligation and puncture (CLP) method, and the mice were randomly divided into 8 groups according to different intervention measures: Sham + PBS, CLP + PBS, CLP + 0.25µg IL-17A, CLP + 0.5µg IL-17A, CLP + 1µg IL-17A, CLP + 2µg IL-17A, CLP + 4µg IL-17A and CLP + Anti-IL-17A. Survival rates of each group were monitored and recorded at 12-hour intervals. The blood of each group of mice was collected at each observation node under aseptic condition, and the expression changes of blood routine, related inflammatory cytokines, liver and kidney function indexes. Pathological injuries of lung, liver and kidney of mice in each group were detected by H&E staining, and the evaluation of bacterial translocation in vitro was performed by inoculation medium.
Results
Except for the sham-operated group, the 7-day survival rate of the mice in the CLP + 1µg IL-17A group was the highest (75%) and exogenous administration of appropriate dose of IL-17A was beneficial to reduce alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN) and creatinine (Cre) in septic mice. The pathological damage of lung, liver and kidney tissue also can be alleviated, and the colony count of peripheral blood and spleen tissue of mice were also significantly decreased.
Conclusion
Exogenous administration of appropriate dose of IL-17A can improve the bacterial clearance ability of septic mice, and improve the multiple organ dysfunction and 7-day survival rate of the septic mice.
A cost effectiveness evaluation of a dietitian-delivered telephone coaching program during pregnancy for preventing gestational diabetes mellitus
Authors: Jersey Susan , Keramat Syed Afroz , Chang Angela. T , Meloncelli Nina , Guthrie Taylor , Eakin Elizabeth , Comans Tracy 
Published: January 2023

Abstract
Background: The aim of this study was to calculate the cost-effectiveness of a telehealth coaching intervention to reduce GDM and to calculate the breakeven point of reducing GDM.
Methods: Data to inform the economic evaluation model was sourced directly from the large quaternary hospital in Brisbane, where the Living Well during Pregnancy (LWdP) program was implemented and further supplemented with literature-based estimates where data had not been directly collected in the trial. A cost-effectiveness model was developed using a decision tree framework to estimate the potential for cost savings and quality of life improvement. A total of 3,578 pregnant people (mean age 30.9 + 5.3 years, 18.8% BMI 25-29.9, 18.6% BMI >30kg/m2; 67.4% multiparous) were included in the analyses.
Results: The cost of providing routine care and routine care plus LWdP intervention to pregnant women was calculated to be AUD 22,827 and AUD 22,537, respectively. The effectiveness of LWdP program (0.894 utility) is slightly higher compared to routine care (0.893). Therefore, the value of ICER is negative and it indicates that the LWdP program is a dominant strategy to reduce GDM in pregnant women. We also performed probabilistic sensitivity analysis using Monte Carlo simulation over 1,000 simulations. The ICE scatter plot showed that LWdP intervention is dominant over routine care in 99.60% of the trials using a willingness to pay threshold of AUD 50,000.
Conclusions: Findings support consideration by healthcare policy and decision makers of telehealth and broad-reach delivery of structured lifestyle interventions during pregnancy to lower short-term costs associated with GDM to the health system.
Tailored versus conventional surgical debridement in complex facial lacerations: a retrospective study
Authors: Park Byeong Kwon , Min Jin Hong , Park Jung Soo , You Yeon Ho , Jeong Won Joon , Cho Yong Chul , Oh Se Kwang , In Yong Nam , Ahn Hong Joon , Kang Chang Shin , Kyung Hyun woo , Kim Joo Hak , Yang Ho Jik , Lee Byung Kook , Yoo Heon Jong 
Published: January 2023

Abstract
Background
Surgical debridement is usually an essential step in treating complex facial lacerations (CFL). As the severity of CFL increases, conventional surgical debridement (CSD) of wound edges becomes difficult and may be insufficient to remove damaged tissues and create clean edges. Because the severity and shape of CFL are diverse and different, it is necessary to tailor the customized pre-excisional design, the tailored surgical debridement (TSD), for each case before performing surgical debridement. Applying TSD is expected to enable effective debridement in CFL with higher severity. This study compared cosmetic outcomes and complication incidence of CSD and TSD, according to CFL severity.
Methods
This was a retrospective observational study. Eligible patients with CFL who visited the emergency department between August 2020 and December 2021 were examined. CFL severity was graded to Grades I and II. CSD and TSD outcomes were compared using the Scar Cosmesis Assessment and Rating (SCAR) scale. Furthermore, a good cosmetic outcome was defined as a SCAR score of ≤ 2. The percentage of good cosmetic outcome between the two groups was compared. The SCAR score and percentage of good cosmetic outcomes between the two groups were compared overall and by severity. For comparison of complication incidence, asymmetry, infection, and dehiscence incidence were compared.
Results
In total, 252 patients were enrolled (121 [48.0%] CSD and 131 [52.0%] TSD). In CSD and TSD groups, the median SCAR scores were 3 (1–5) and 1 (0–2) in all enrolled patients (p < 0.001), 2 (0–4) and 1 (0–1) in Grade I (p < 0.01), and 5 (4–6) and 1 (1–2) in Grade II (p < 0.001). The good cosmetic outcomes were 46.3% and 84.0% overall (p < 0.001), 59.6% and 85.0% in Grade I (p < 0.01), and 9.4% and 83.5% in Grade II (p < 0.001) for CSD and TSD. The incidence of complications was significantly higher in the CSD than in the TSD groups, but this was limited to asymmetry. There was no statistical difference in both infection and dehiscence.
Conclusion
TSD can lead to an objectively good cosmetic prognosis at higher CFL severity than CSD and can reduce the occurrence of facial asymmetry.
Heat Waves over India during Mar-May 2022: An object-based approach to Forecasting and Verification
Authors: Singh Harvir , Dube Anumeha , Ashrit Raghavendra , Srivast Prashant Kumar 
Published: January 2023

Abstract

Heatwaves are one of the most dangerous natural hazards in the world. Higher daily peak temperatures, duration, intensity and frequency of heatwaves are increasing globally due to climate change. In India, the instances of heatwaves have increased in recent years along with their intensity which has resulted in increased casualties. For the purpose of mitigation and reduction of damages due to heatwaves timely and accurate forecasts of such events are required. In order to check the accuracy and to generate more confidence in using these forecasts, an in-depth verification of the forecasts is required. Many traditional verification methods are commonly used to assess the performance of numerical weather prediction (NWP) models in predicting extreme weather like heatwaves. These methods have a limited utility as they are dependent only on a match at a grid-to-grid level. Spatial verification techniques, such as features or object-based approaches, can illustrate the model performance in a significant way by differentiating between forecast and observed features and comparing their spatial scale, shape, size, orientation, coverage area, displacement and intensity. In this study, we have tried to demonstrate the ability of a global model in predicting a maximum 2m temperature (Tmax), particularly in the heatwave-prone zones of India. For this purpose, the forecasts ofTmaxobtained from the National Centre for Medium Range Weather forecasting (NCMRWF) Unified Model (NCUM) are verified using the Method for Object-Based Diagnostic Evaluation (MODE). The study period is chosen to be March to May 2022. This study showed that NCUM forecast objects had a possible perfect timing and propagation ofTmax ≥ 41°C and ≥ 43°C objects when compared to the observations. It was also noticed that the NCUM model had a southwesterly bias in the location ofTmaxobjects forTmax ≥ 45°C, indicating a potential lag in system propagation. On the seasonal scale assessment showed that the forecast performance of the model for heatwaves (Tmax ≥ 41°C and ≥ 43°C) is reasonably good which is supported by many attributes like centroid distance; there was a small variation in the centroid distance median is ~ 150–200 km up to 120 hr lead times. The complexity ratio showed that the internal structure of the forecast matched ~ 83% and this result was supported by the curvature ratio was the near to perfect i.e. 95–97%, the 50th percentile intensity ratio which is also near to perfect 98–99% and the symmetric difference is the small enough to coincide with the observed heatwave zones. Based on thetotal interestvarying in the range of 90–97% up to 120 hr lead times it is evident that NCUM model accurately forecasts the heatwaves structure, shape and size well in advance up to 120 hr lead times.
Efficacy of third-generation EGFR-TKIs in advanced NSCLC with different T790M statuses tested via ddPCR and NGS
Authors: Xu Ziyi , Li Yan , Wang Lin , Hao Xuezhi , Ying Jianming , Li Junling , Xing Puyuan 
Published: January 2023

Abstract
Objective
Third-generation epidermal growth factor receptor (EGFR)-tyrosine kinase inhibiors (TKIs) is the standard strategy for T790M-positive non-small cell lung cancer (NSCLC). We hypothesize that ddPCR, with a higher sensitivity than NGS, would optimize the treatment strategies in EGFR-TKIs relapsed patients. In this study, we compared the efficacy of third-generation TKIs with various T790M statuses via these two assays.
Methods
NGS was performed on blood samples of patients progressed from previous EGFR-TKIs treatment for resistance mechanism. T790M-negative patients received a further liquid biopsy using ddPCR for T790M status detection. The analysis of efficacy and survival for subsequent third-generation EGFR-TKIs was carried out.
Results
A cohort of 40 patients were enrolled from Sept, 2020 to Dec, 2021, with 30.0% (12/40) tested T790M-positive via NGS (Group A). In another 28 T790M-negative patients by NGS, 11 (39.3%) were T790M-positive (Group B) and 17 (60.7%) were T790M-negative (Group C) via ddPCR. After a median follow-up period of 13.7 months, a relatively longer progression-free survival (PFS) was observed in group A (not reached) and group B (10.0 months, 95% CI 7.040-12.889) than in group C (7.0 months, 95%CI 0.000-15.219), with no significant difference across all three groups (P = 0.196), or between group B and Group C (P = 0.412). The detection of EGFR-sensitive comutations correlated with an inferior mPFS (P = 0.041) and objective response rate (p = 0.326), and a significantly lower disease control rate (P = 0.033) in T790M-negative patients via NGS (n = 28).
Conclusion
This study indicates that ddPCR may contribute as a supplement to NGS in liquid biopsies for T790M detection in EGFR-TKIs relapsed patients and help to optimize the treatment strategies, especially for those without EGFR-sensitive comutations.
Cuproptosis-related gene DLAT is a prognostic and immunological biomarker in pan-cancer
Authors: Liping Zeng , Fang Xianlei , Xiaomin Lu , Long Heng , Feng Zhen-Bo 
Published: January 2023

Abstract
Dihydrolipoamide S-acetyltrans-ferase (DLAT), a mitochondrial protein involved in glucose metabolism, has been identified as a key gene associated with cuproptosis recently. However, studies on DLAT in pan-cancer have not been found. Aim of this study is to explore the expression profiles and clinical value of DLAT in pan-cancer. DLAT expression profiles were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), UALCAN and the Human Protein Atlas (HPA) websites. The prognostic and diagnostic values of DLAT and its relationship with immune cell infiltration were analyzed based on TCGA data. cBioPortal and UALCAN websites were used to search gene alteration and methylation status of DLAT in tumors, respectively. CancerSEA database was used to investigate the biological functions of DLAT at the single-cell level. Finally, STRING, GAPIA2.0 and TIMER databases were used to construct protein-protein interaction (PPI) networks and functional enrichment analyses. High DLAT expression was found in most cancers and predicted poor prognosis in patients with several tumors, such as breast cancer, esophageal cancer, head and neck squamous cell carcinoma. DLAT showed early diagnostic value in 17 tumors, especially in acute myeloid leukemia (LAML). Abnormal gene alterations and DNA methylation of DLAT were verified in pan-cancer. Single cell RNA sequencing (scRNAseq) analysis reflected that DLAT could regulate various biological functions of cancer cells. Abnormal expression of DLAT regulated infiltration of multiple immune cells in a variety of tumors. Gene enrichment analysis showed that DLAT was involved in mitochondrial matrix, coated vesicle and ribonucleoprotein granule. DLAT can be used as an important indicator of early diagnosis, prognosis and immunotherapy for a variety of tumors.
An assessment on the interplay of digital proximity app use and vaccine uptake for SARS-CoV-2 transmission mitigation in Switzerland
Authors: Daniore Paola , Moser André , Höglinger Marc , Hensch Nicole Probst , Imboden Medea , Vermes Thomas , Keidel Dirk , Bochud Murielle , Herrero Natalia Ortega , Baggio Stéphanie , Chocano-Bedoya Patricia , Rodondi Nicolas , Tancredi Stefano , Wagner Cornelia , Cullati Stéphane , Stringhini Silvia , Nusslé Semira Gonseth , Veys-Takeuchi Caroline , Zuppinger Claire , Harju Erika , Michel Gisela , Frank Irène , Kahlert Christian , Albanese Emiliano , Crivelli Luca , Levati Sara , Amati Rebecca , Kaufmann Marco , Geigges Marco , Ballouz Tala , Frei Anja , Fehr Jan , Von Wyl Viktor 
Published: January 2023

Abstract
Introduction
Adherence to digital proximity tracing apps and preventive measures leading up to and following widespread SARS-CoV-2 vaccine rollout remains unclear. Our study aims to evaluate the relative effect of digital proximity tracing app use, SARS-CoV-2 vaccine uptake and adherence to additional preventive measures in a localized context of the pandemic.
Methods
We report findings from two population-based longitudinal cohorts in Switzerland, the Corona Immunitas Digital Follow-up eCohort (CI-DFU) and the COVID-19 Social Monitor (CSM) studies in 2021. Failure time analyses were conducted for each study cohort, stratified by age group. Cox proportional hazards regression models with time-varying covariates were used to estimate adjusted hazard ratios (aHR). The analyses assessed vaccine uptake and SwissCovid app uninstalling outcomes, with the outcomes interchanging as the exposures in two separate substudies.
Results
We observed a dichotomy of individuals who did not use the app during the study period and did not get vaccinated, and who used the SwissCovid app during the study period and got vaccinated during the study period. We found an increased uptake of the vaccine associated with SwissCovid app use (aHR, 1.51; 95% CI: 1.40–1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62–1.99 [CSM]) or adherence to preventive measures (aHR, 1.44; 95% CI: 1.28–1.62 [CI-DFU]; aHR, 1.82; 95% CI: 1.52–2.18 [CSM]). Decreased SwissCovid uninstallation risk was observed for participants who received their first vaccine dose throughout the study period (aHR, 0.55; 95% CI: 0.38–0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27–0.78 [CSM]).
Conclusion
In evolving pandemic contexts, these findings can assist public health authorities in designing evidence-based communication strategies to enable adoption of preventive measures and novel health technologies across all population groups.
To analyse the greenness change in Dehradun city over the last 5 years using Machine Learning
Authors: Tiwari Rudra 
Published: January 2023

Abstract
This research paper focuses on analyzing the change in greenness in the city of Dehradun over the last 5 years using machine learning techniques. The study utilizes the high-resolution imagery and information provided by the Sentinel-2 satellite, which is part of the European Space Agency's Copernicus program. The Sentinel-2 satellite is equipped with a multispectral imaging instrument that captures images in 13 different spectral bands, including visible and near-infrared bands that are useful for monitoring vegetation. The paper utilizes the Normalized Difference Vegetation Index (NDVI) to assess the health and productivity of vegetation in Dehradun over the last 5 years. Machine learning algorithms are applied to the NDVI data to analyze the greenness change in the city. The study provides insights on the temporal changes in the greenness of Dehradun and its impact on urban planning, regional development, and natural resource management.
Mapping endemic freshwater fish richness to identify high priority areas for conservation: an ecoregion approach
Authors: Yousefi Masoud , Jouladeh-Roudbar Arash , Kafash Anooshe 
Published: January 2023

Abstract
Freshwater ecosystems are among the most threatened ecosystems. Thus, knowing where these unique ecosystems’ species richness reaches a peak can facilitate their conservation planning. By hosting 289 freshwater fishes, Iran is a major freshwater fish hotspot in the Middle East. Considering the accelerating rate of biodiversity loss, there is an urgent need to identify species rich areas and understanding of the mechanisms driving biodiversity distribution. In this study, we gathered distribution records of all endemic freshwater fishes of Iran (85 species) to develop their richness map and determine the most critical driver of their richness pattern with an ecoregion approach. We performed a generalized linear model (GLM) with quasi-Poisson distribution to identify contemporary and historical determinants of endemic freshwater fish richness. We also quantified endemic fish similarity among the 15 freshwater ecoregions of Iran. Results showed that endemic freshwater fish richness is highest in the Zagros Mountains and moderate level of richness was observed between Zagros and Alborz Mountains. High, moderate and low richness of endemic freshwater fish match with Upper Tigris & Euphrates, Namak, and Kavir & Lut Deserts ecoregions respectively. Precipitation and precipitation change velocity since the Last Glacial Maximum were the most important predictor of freshwater fish richness. Areas identified to have the highest species richness have high priority for the conservation of freshwater fish in Iran, therefore, should be considered in future protected areas development.