bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bivariate binary logistic regression analysis on optimal antenatal care visits and timing of antenatal care initiation among reproductive age women in Ethiopia; evidence from 2019 Ethiopian mini demographic health survey
Authors: Asmare Abebew Aklog , Agmas Yitateku Adugna 
Published: September 2022

Abstract
Background
Maternal and neonatal mortality is a significant public health issue that reflects the overall status of a country’s healthcare system and socioeconomic development. ANC remains one way to reduce maternal and neonatal deaths. Thus, the goal of this study is to run a bivariate binary logistic regression model that takes into account the possible dependency of optimal ANC visits and timing of ANC initiation.
Methods
The data came from the DHS program's measurements. A total of 5,492 women were involved in this study. Given the effect of other predictors, a bivariate binary logistic regression model is used to assess the relationship between optimal ANC visits and timing of ANC initiation.
Results
The prevalence of optimal ANC visits and timing of ANC initiation were 59.7% and 19.8%, respectively. The odds of timing ANC initiation and optimal ANC visits among women from households with middle and rich wealth status were 1.391 times (AOR = 1.391; 95%CI: 1.121–1.726), 2.047 times (AOR = 2.047; 95%CI: 1.669–2.511), 1.141 times (AOR = 1.141; 95%CI: 1.007–1.321), and 1.197 times (AOR = 1.197; 95%CI: 1.017–1.409), respectively, as compared to those from households with poor wealth status. The estimated odds ratio of timing ANC initiation among women who reside in rural areas was lower by 0.790 (AOR = 0.790; 95% CI: 0.652–0.957) as compared to women who reside in urban areas.
Conclusion
According to the results of bivariate logistic regression, maternal age, region, maternal education, wealth index, and total number of children ever born were common determinants of both optimal ANC visits and timing of ANC initiation, whereas place of residence and family size were significantly related to timing of ANC initiation. Finally, raising awareness and improving women's living conditions may increase antenatal care utilization. As a result, maternal mortality and morbidity can be reduced, and Ethiopia can meet the SDG target.
singleCellBase: a high-quality manually curated database of cell markers for single cell annotation across multiple species
Authors: Meng Fanlin , Qin Wenyan , Liu Kunbang , Wang Yan , Li Ming , Meng Chen , Li Yanze , Ren Yonghong , Sun Yimin 
Published: September 2022

Abstract
Background
Annotating cells in the analysis of single-cell RNA-Seq (scRNA-seq) data is one of the most challenging tasks that researchers are actively addressing. Manual cell annotation is generally considered the gold standard method, although it is labor intensive and independent of prior knowledge. At present, the relationship between high-quality, known marker genes and cell types is very limited, especially for a variety of species other than humans and mice.
Methods
We manually reviewed thousands of published literatures, comprehensively curated the records on associations of cell type and gene markers. By organizing the records using MySQL based on relational schema, and constructing website based on Java Server Pages using the Java Servlet framework, we developed our singleCellBase database.
Results
The singleCellBase is a manually curated resource of high-quality cell types and gene markers associations across multiple species. In details, it offers 9,027 entries spanning a total of 2,610 cell types and linking with 21,044 genes (cell markers), covering 381 diseases/status, and 524 types of tissues across 33 species. The singleCellBase provides a user-friendly interface to the scientific community to browse, search, download and submit records of marker genes and cell types.
Conclusions
The resource providing ineluctable prior knowledge required by manual cell annotation, which is valuable to interpret scRNA-seq data and elucidate what cell type or cell state that a cell population represents.
Classification and Variety Identification of Corn Ears using Machine Vision combined with Convolutional Neural Network
Authors: Xu Jinpu , Lv Guangjie , Zhao Wei , Lan Jinhao , Ma Dexin 
Published: September 2022

Abstract
Corn is an important human food crop and animal feed source. Purity of corn seed is critical to yield and marketing. Screening of corn ears is an important but time-consuming and labor-intensive task in seed production. In recent years, deep learning has made great achievements in tasks such as image classification, object detection, face recognition, etc. In this paper , a method combining convolutional neural network VGG16 and machine vision to quickly classify different varieties of corn using corn ear images is proposed. By collecting RGB images of corn ears with intact phenotypic traits of 5 varieties, a data set containing 1000 images was constructed, and divided into training set, validation set and test set according to the ratio of 7:2:1. By improving the fully connected layer structure of the VGG16 network, optimizing the training parameters, and using transfer learning and data enhancement techniques, the optimal performance model was obtained after training all layers of the VGG16, and the accuracy rate reached 98.00% on the test set. Under the same experimental conditions, comparing the three methods of training from scratch, pre-feature extraction and only training the fully connected layer, the accuracy rates obtained were 94.00%, 96.88%, and 94.00%, respectively. The improved model achieved the highest classification accuracy rate and stable performance. In the experiments, the effects of network parameters on the model classification results were also discussed. The experiment showed that the phenotypic characteristics of the corn ears could better realize the classification and identification of different varieties of corn, which provides a reference for the intelligent sorting of corn seed production.
Incidence and Risk factors for Intraoperative Hypothermia during Cancer Surgery of Gastrointestinal Tracts: a single-center retrospective study
Authors: LUO Mengjia , LANG Hongjuan , DAI Yanran 
Published: September 2022

Abstract
BACKGROUND Intraoperative hypothermia in cancer surgery of gastrointestinal tracts causes complications, but its related risk factors have been are not fully understood. The aim of study is to investigate the incidence and related risk factors.
METHODS We retrospectively reviewed the medical records of 1217 patients aged from 18 to 85 years who underwent gastrointestinal tracts cancer surgery under general anesthesia in the gastrointestinal surgery department of the First Affiliated Hospital of Air Force Military Medical University from January through December, 2019. Incidences were calculated and associated risk factors were evaluated by univariate logistic regression and multivariate regression analyses.
RESULTS The overall incidence of intraoperative hypothermia was 25.7%. The risk factors including that age<60yrs (OR, 0.658; 95% CI, 0.486 to 0.889), BMI≥22（kg/m2）(OR, 0.502; 95% CI, 0.367 to 0.687), Open abdominal surgery (OR, 0.480; 95% CI, 0.333 to 0.691), perioperative temperature≥37(℃) (OR, 0.160; 95% CI, 0.079 to 0.323), without warming mattress (OR, 0.402; 95% CI, 0.293 to 0.550).
CONCLUSION The incidence of perioperative hypothermia was common while active warming during operation is low. We highlight that more attention needs to be paid on prevention of intraoperative hypothermia.
An observational study on the efficacy of combined Chinese medicine targeted penetration therapy for schizophrenia with anxiety disorders
Authors: Zhu Cuifang , Wang Xin-Yue , Li Hong , Zhao Jing , Long Bin , Xiao Xudong , Pan Ling-Yi , Chen Jian-Hua 
Published: September 2022

Abstract
Objective To evaluate the efficacy and safety of Chinese medicine targeted transdermal therapy for schizophrenia with anxiety disorders.
Methods Eighty schizophrenic patients accompanying anxiety disorders were randomly assigned to the treatment group (n=40) and the control group (n=40) with 6 weeks of follow-up. Patients in the treatment group were treated with the original antipsychotic drug program and were additionally treated with Chinese medicine targeted penetration therapy. Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD-17), and treatment emergent symptom scale (TESS) were evaluated before enrollment, 3 weeks, and 6 weeks after treatment. Positive and Negative Symptom Scale (PANSS) was assessed at baseline and 6 weeks.
Results At the end of 3 and 6 weeks, the scores of HAMA scale in the treatment group were lower than those in the control group (P < 0.001). Neither HAMD-17 scale scores, PANSS total scores nor subscale scores were significantly different between the two groups (P>0.05), and no significant differences were detected in adverse effects that occurred during the intervention between the two groups (P>0.05). After 6 weeks of penetration therapy, there was a low negative correlation between total disease duration and the change in HAMA scale score (pre-treatment-post-treatment) in the treatment group.
Conclusion Combined traditional Chinese medicine directed penetration therapy can improve the anxiety symptoms of schizophrenia patients with a safe profile.
Schiff base-functionalized Metal-Organic Frameworks for Selective Sensing of Chromate and Dichromate in Water
Authors: Kaur Manpreet , Yusuf Mohamad , Malik Ashok Kumar 
Published: September 2022

Abstract
In this research, Zn- or Cd-based metal-organic frameworks (coded ZnMOF-1 and CdMOF-1) containing benzene-1,4-dicarboxylic acid (H2bdc) and pyridyl-based Schiff base (4-pyridylcarboxaldehydeisonicotinoylhydrazone (L)) dual ligands were successfully assembled via a conventional solvothermal method. The photoluminescence quenching response of ZnMOF-1 and CdMOF-1 and their sensing sensitivity and selectivity towards various inorganic anions were evaluated in aqueous media. Crystallographic and thermogravimetric studies confirm the formation of both MOFs with good crystallinity and thermal stability.Photoluminescence studies also verify the selectivity of ZnMOF-1 and CdMOF-1 for efficient sensing of inorganic oxyanions (like chromate/dichromate: CrO42− and Cr2O72−). Further, it was noted that only chromate/dichromate (CrO42−/Cr2O72−) anions showed a significant turn-off quenching effect while other anions (like F−, Br−, I−, Cl−, ClO4−, SCN−, SO42−, NO3−, and NO2−) have a low/negligible effect on the photoluminescence intensity of both MOFs. The limit of detection (LOD) of chromate/dichromate by ZnMOF-1 and CdMOF-1 was 9.79/10.94 µM and 2.68/1.48 µM, respectively. A probable mechanism for turn-off quenching response towards chromate and dichromate anions could be attributed to the spectral overlap of both excitation and emission spectra of ZnMOF-1/CdMOF-1 with the absorption spectra chromate/dichromateanions. As a result, the energy transfer from ZnMOF-1 or CdMOF-1 to the target chromate and dichromate anions decreased fluorescence intensity (i.e., fluorescence quenching effect).
Clinical and pathophysiologic insights of FT3/FT4 ratio in patients with Heart Failure with Preserved Ejection Fraction: data from the NETDiamond cohort
Authors: Leite Ana Rita , Neves João Sérgio , Angélico-Gonçalves António , Vasques-Nóvoa Francisco , Saraiva Francisca A. , Pinho Inês Beatriz , Oliveira Ana Cristina , Borges-Canha Marta , von Hafe Madalena , Vale Catarina , Lourenço André P. , Araújo José Paulo , von Hafe Pedro , Almeida Jorge , Ferreira João Pedro , Leite-Moreira Adelino 
Published: September 2022

Abstract
Purpose
Thyroid dysfunction is common in patients with heart failure (HF). Impaired conversion of T4 into T3 is thought to decrease the availability of T3 and contribute to HF progression. In HF with preserved ejection fraction (HFpEF), it is not known whether changes in conversion of thyroid hormones (TH) are associated with clinical status and outcomes.
Methods
We evaluated 79 HFpEF participants of the NETDiamond cohort without known thyroid disease. We performed regression modelling to study the associations of TH and FT3/FT4 ratio with clinical and echocardiographic parameters, and survival analysis to evaluate associations with the composite of urgent HF visit, HF hospitalization or cardiovascular death, over a median follow-up of 2.8 years.
Results
The mean age was 73.5 years and 47% were men. The mean FT3/FT4 ratio was 2.63 (SD 0.43). Subjects with lower FT3/FT4 ratio were more likely to be obese and have atrial fibrillation. Lower FT3/FT4 ratio was associated with higher body fat (β=-5.60kg per FT3/FT4 unit, p = 0.034), higher pulmonary arterial systolic pressure (PASP) (β=-10.26mmHg, p = 0.002) and lower left ventricular ejection fraction (LVEF) (β = 3.60%, p = 0.008). Lower FT3/FT4 ratio was associated with higher risk for the composite HF outcome (HR = 2.50, 95%CI 1.04–5.88, per 1-unit decrease in FT3/FT4, p = 0.041).
Conclusions
In patients with HFpEF, lower FT3/FT4 ratio was associated with higher body fat, higher PASP and lower LVEF. Lower FT3/FT4 predicted a higher risk of urgent HF visit, HF hospitalization or cardiovascular death. These findings suggest that decreased FT4 to FT3 conversion may be associated with HFpEF progression.
Integrative Analysis of the TNFRSF13B Variants in Common Variable Immune Deficiency
Authors: Firtina Sinem , Kutlu Asli , Yozlu Medinenur , Cepeci Beyza Nur , Isikgil Begum , Ar Muhlis Cem , Sayitoglu Muge 
Published: September 2022

Abstract
Background:
TNF receptor superfamily member 13B ( TNFSRF13B ) is a member of the TNF superfamily which is crucial for B cell maturation, plasma cell differentiation and antibody response. Impaired expression of TNFRSF13B gene was associated with common variable immune deficiency (CVID), selective IgA deficiency, autoimmunity and/or lymphoproliferation disorders. Beside disease-causing variants of this gene, the polymorphisms can be associated with strong or weak TNFRSF13B expression that leads to unbalanced B cell response and increased autoreactive antibody production.
Materials and Methods:
Within the scope of this paper, we detect 26 variants (three synonymous, five missense, eleven UTR, seven intronic variants) in the TNFRSF13B gene by screening 80 pediatric and adult CVID patients.
Results:
Beyond categorization of these detected variants as likely benign, benign, or variant of uncertain significance, we perform an integrative bioinformatics approach to provide a plausible explanation for CVID associations of these detected variants from different perspectives, e.g. missense variants from a thermodynamical point of view, UTR variants from regulatory issues, synonymous variants in RNA binding perspectives and so on. 58% of (15/26) detected variants were altered regulatory elements, such as transcription factor binding or miRNA binding sites and splice site regions or thermodynamic impact on protein. Thirteen variants were found to have at least tenfold increased allele frequencies compared to global databases indicating TNFRSF13B variants which have a potential regulatory effect, more common in CVID patients.
Conclusions:
All findings have suggested that the presence of these variants may not be the causative variant for CVID phenotype but might be associated with minimal or moderate regulatory impacts on CVID patients. This study also emphasizes the importance of using the integrative bioinformatic approach to identify promising variants.
Tsunami Runup and Inundation in Tonga from the January 2022 eruption of Hunga Volcano
Authors: Borrero Jose C. , Cronin Shane J. , Latu’ila Folauhola Helina , Tukuafu Pupunu , Heni Nikolasi , Tupou Ana Maea , Kula Taaniela , Fa’anunu Ofa , Bosserelle Cyprien , Lynett Patrick , Kong Laura 
Published: September 2022

Abstract
On January 15th, 2022, at approximately 4:47 pm local time (0347 UTC), several weeks of heightened activity at the Hunga volcano 65 km northwest of Tongatapu, culminated in an 11-hour long violent eruption. The Kingdom of Tonga lies astride a large and tsunamigenic subduction zone, but it has relatively few formally recorded significant tsunami. Assessment activities took place both remotely and locally. Between March and June 2022, a field team quantified tsunami runup and inundation on the main populated islands Tongatapu and Eua, along with several smaller islands to the north, including the Ha’apai Group. Peak tsunami heights were ~19 m in western Tongatapu and ~20 m on south-eastern Nomuka Iki island, located ~65 km SE and NE from Hunga volcano, respectively. In western Tongatapu, the largest tsunami surge overtopped a 13-15 m-high ridge along the narrow Hihifo peninsula in several locations. Analysis of tide gauge records from Nukualofa (which lag western Tongatapu arrivals by ~18-20 min), suggest that initial tsunami surges were generated prior to the largest volcanic explosions at ~0415. Further waves were generated by ~0426 UTC explosions that were accompanied by air-pressure waves. The largest tsunami wave that toppled a weather station on a 13 m-high ridge on western Tongatapu soon after 0500 UTC. The origin of this wave is currently uncertain. Smaller later tsunami continued until ~0900, coincident with a second energetic phase of eruption, and noted by eyewitnesses on Tungua and Mango Islands. Despite an extreme level of destruction caused by this tsunami the death toll was extraordinarily low (3 victims). Interviews with witnesses and analysis of videos posted on social media suggest that this can be attributed to the arrival of smaller ‘pre tsunami’ waves that prompted evacuations, as well as continuous tsunami education and awareness efforts since the 2009 Niuatoputapu, Tonga tsunami. This event highlights an unexpectedly great hazard from volcanic tsunami worldwide, which in Tonga’s case overprints an already extreme level of tectonic tsunami hazard. Education and outreach efforts should continue to emphasize the ‘natural warning signs’ of strong ground shaking and unusual wave and current action, and the importance of self-evacuation from coastal areas of low-lying islands. The stories of survival from this event can be used as global best practice for personal survival strategies from future tsunami.
Declarative Data Flow in a Graph-Based Distributed Memory Runtime System
Authors: Knorr Fabian , Thoman Peter , Fahringer Thomas 
Published: September 2022

Abstract
Runtime systems can significantly reduce the cognitive complexity of scientific applications, narrowing the gap between systems engineering and domain science in HPC. One of the most important angles in this is automating data migration in a cluster. Traditional approaches require the application developer to model communication explicitly, for example through MPI primitives. Celerity, a runtime system for accelerator clusters heavily inspired by the SYCL programming model, instead provides a purely declarative approach focused around access patterns. In addition to eliminating the need for explicit data transfer operations, it provides a basis for efficient and dynamic scheduling at runtime. However, it is currently only suitable for accessing array-like data from runtime-controlled tasks, while real programs often need to interact with opaque data local to each host, such as handles or database connections, and also need a defined way of transporting data into and out of the virtualised buffers of the runtime. In this paper, we introduce a graph-based approach and declarative API for expressing side-effect dependencies between tasks and moving data from the runtime context to the application space.
IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes
Authors: Wu Junying , Zhang Yudi , Qin Tiejun , Xu Zefeng , Qu Shiqiang , Pan Lijuan , Li Bing , Jia Yujiao , Li Chenwen , Wang Huijun , Gao Qingyan , Cai Wenyu , Gong Jingye , Zhao Songyang , Li Fuhui , Gale Robert Peter , Xiao Zhijian 
Published: September 2022

Abstract
There are considerable new data on mutation topography in persons with myelodysplastic syndromes (MDS). These data have been used to update conventional risk models such as the Revised International Prognostic Scoring System (IPSS-R). Whether the molecular IPSS (IPSS-M) which includes these data improves survival prediction accuracy is untested. To answer this question, we compared survival prediction accuracies of the IPSS-R and IPSS-M in 852 consecutive subjects with de novo MDS. Concordance statistics (C-statistics) of the IPSS-R and IPSS-M in the entire cohort were similar, 0.67 (95% Confidence Interval [CI],0.64, 0.71) and 0.68 (0.64, 0.71). Average numbers of mutations and of IPSS-M related mutations were greater in persons ≥ 60 years (2.0 [Interquartile Range [IQR], 1, 3] vs. 1.6 [0, 2], P = 0.003; 1.6 [0, 2] vs. 1.3 [0, 2], P = 0.006). Subjects ≥ 60 years had a higher incidence of mutations in RUNX1, TP53, TET2, SRSF2, DNMT3A, STAG2, EZH2 and DDX41. In contrast, mutations in U2AF1 were more common in persons < 60 years. Next we tested survival prediction accuracy based on age < or ≥ 60 years. C-statistics of the IPSS-R and IPSS-M in subjects ≥ 60 years were 0.66 (0.61, 0.71) and 0.69 (0.64, 0.73) whereas in subjects < 60 years they were 0.67 (0.61, 0.72) and 0.65 (0.59, 0.71). These data indicate an advantage for the IPSS-M over the IPSS-R in subjects ≥ 60 years but not in those < 60 years probably because of a great frequency of mutations correlated with survival in those ≥ 60 years.
Evaluation of different extractants to estimate bioavailable arsenic in soil
Authors: Mishra Rahul , Datta Siba Prasad , Golui Debasis , Meena Mahesh Chand , Dwivedi Brahma Swaroop , Rahman Mohammad Mahmudur , Bandyopadhyay Kali Kinkar , Bhatia Arti , Pandey Punyavrat S 
Published: September 2022

Abstract
Owing to the similar chemistry of phosphorus (P) and arsenic (As), sodium bicarbonate (0.5 N NaHCO3) is commonly used to extract plant accessible As in soil. However, 0.5 N NaHCO3 is not compatible with the ICP-MS measurement due to the large amount of dissolved solids. This investigation set out to devise a suitable extractant for determining extractable As in soil and measured by the ICP-MS. Paired soil and plant samples were collected from paddy fields in West Bengal, India. Soil was extracted with 0.5 M NaHCO3, 0.03 M (0.1 N) and 0.17 M (0.5 N) phosphoric acid (H3PO4), 0.05 M (0.1 N) and 0.25 M (0.5 N) sulfuric acid (H2SO4), and 0.01 M calcium chloride (CaCl2). This made it possible to measure As by hydride generation-atomic absorption spectrophotometer (HG-AAS), while ICP-MS was used for the determination of As extracted from soil with different concentrations (0.1-1.5M) of HNO3. The NaHCO3 extractable As was 1.45 and 1.23 mg kg− 1 for soil to extractant ratio of 1:20 and 1:5, respectively. Of these extractants, 1.5 N HNO3 extractable As had the best correlation with As content in rice grain (r = 0.45**) and straw (r = 0.71**), comparable with standard extractant i.e. 0.5 N NaHCO3 (r = 0.47** and r = 0.64** in case of grain and straw, respectively). A significant positive relationship of 1.5 N HNO3 was obtained with 0.5 N NaHCO3. Thus, 1.5 N HNO3 may serve as an extractant for soil As, which is compatible with ICP-MS analysis.