bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning
Authors: Ye Caichao , Zhang Xinyue , Wei Genwang , Sheng Ye , Yang Jiong , Zhang Wenqing 
Published: July 2022

Abstract
In the process of finding high-performance organic semiconductors (OSCs), it is of paramount importance in material development to identify important functional units that play key roles in material performance and subsequently establish substructure-property relationships. Herein, we describe a polymer-unit fingerprint (PUFp) generation framework. Machine learning (ML) models can be used to determine structure-mobility relationships by using PUFp information as structural input with 678 pieces of collected OSC data, and the prediction accuracy reaches 83.9%. A polymer-unit library consisting of 445 units is constructed, and the key polymer units for the mobility of OSCs are identified. By investigating the combinations of polymer units with mobility performance, a scheme for designing polymer OSC materials by combining ML approaches and PUFp information is proposed to not only passively predict OSC mobility but also actively provide structural guidance for new high-mobility OSC material design. The proposed scheme demonstrates the ability to screen new materials through pre-evaluation and classification ML steps and is an alternative methodology for applying ML in new high-mobility OSC discovery.
Genome-wide association study identifies new loci for 1000-seed weight in Brassica napus L
Authors: Liu Haijiang , Wang Jingchi , Zhang Bingbing , Yang Xinyu , Yuan Pan , Ding Guangda , Wang Sheliang , Cai Hongmei , Wang Chuang , Xu Fangsen , SHI LEI 
Published: July 2022

Abstract
Oilseed rape (Brassica napus L.) is an important oilseed crop worldwide and 1000-seed weight (SW) is the important determinant of seed yield of B. napus. To elucidate the genetic mechanism of SW and mining candidate genes, a panel of 403 diverse B. napus accessions was screened in a genome-wide association study (GWAS) using 1.60 million single-nucleotide polymorphisms (SNPs). This study identified 340 SNPs significantly associated with SW by general linear model (GLM) and mixed linear model (MLM). Through GWAS combined with transcriptome data, two significantly differentially expressed genes were identified as candidate genes (BnaA02g06870D and BnaC06g28920D). Candidate gene association analysis and haplotype analysis showed that the inbred lines carrying ACCC at BnaA02g06870Hap1 and TTGG at BnaC06g28920Hap1 had greater SW than lines carrying other haplotype alleles. Candidate genes and favourable haplotypes identified in this study will be useful for large-seed breeding of B. napus.
Kampo (Japanese herbal) medicine for primary headache as an acute treatment –a retrospective investigation in Kesennuma City Hospital during 5 years-
Authors: Katsuki Masahito , Narita Norio , Matsumori Yasuhiko , Ishida Naoya , Watanabe Ohmi , Siqi Cai , Tominaga Teiji 
Published: July 2022

Abstract
Kampo (Japanese herbal) medicine for primary headaches as an acute treatment has been empirically prescribed, but the evidence is insufficient. Therefore, we retrospectively investigated kampo medicine’s efficacy for primary headaches at 1 week and discussed how kampo medicine works for headaches, referring to previous articles. We prescribed, as needed, kakkonto (TJ-1) for 223 tension-type headaches, goshuyuto (TJ-31) for 93 migraines with or without aura and those with the menopausal disorder, goreisan (TJ-17) for 71 migraines with edema, dehydration (Sui-doku), or associated with weather conditions, and non-steroidal anti-inflammatory drugs (NSAIDs) for 162 primary headaches between 2015 and 2019 in Kesennuma City Hospital. As a total, 92.0% of the patients’ subjective symptoms improved after 1 week. The ratio of improvement was not significantly different between each kampo medicine and NSAIDs. The follow-up period is short as 1 week, and it is difficult to judge whether the improvement is due to medication, the placebo effect, or spontaneous remission. However, our results suggested that kampo medicine could be an alternative medication as an acute treatment for primary headaches, and our strategy would be applicable to the clinical practice of primary headaches. (187/250 words)
In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis
Authors: Brankin Alice , Seifert Marva , Georghiou Sophia B. , Walker Timothy M. , Uplekar Swapna , Suresh Anita , Colman Rebecca E. 
Published: July 2022

Abstract
Universal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of drug resistance. These endorsed assays, however, each interrogate a limited number of mutations associated with resistance, potentially limiting their sensitivity compared to sequencing-based methods. We applied an in silico method to compare the sensitivity and specificity of WHO-endorsed molecular based diagnostics to the mutation set identified by the WHO mutations catalogue using phenotypic DST as the reference. We found that, in silico, the mutation sets used by probe-based molecular diagnostic tests to identify rifampicin, isoniazid, pyrazinamide, levofloxacin, moxifloxacin, amikacin, capreomycin and kanamycin resistance produced similar sensitivities and specificities to the WHO mutation catalogue. PCR-based diagnostic tests were most sensitive for drugs where mechanisms of resistance are well established and localised to small genetic regions or a few prevalent mutations. Approaches using sequencing technologies can provide advantages for drugs where our knowledge of resistance is limited, or where complex resistance signatures exist.
Clinical use of perioperative magnetic resonance imaging-based breast volumetric analysis in final implant volume prediction for two-stage breast reconstruction
Authors: Kim Min Ji , Kim Tae Wook , Hahn Hyung Min , Lee Il Jae 
Published: July 2022

Abstract
Background: Breast volume is an important factor in breast reconstruction; however, the reconstruction surgeon is expected to deliver the best volume expectation with his aesthetic inspiration. Therefore, objective volumetry must be continuously developed to achieve this. This study aimed to conduct a Magnetic Resonance Imaging (MRI) based breast volumetric analysis. With periodic analysis of two-stage breast reconstruction in breast cancer patients, we suggest the possibility of clinical use of breast volumetry in final implant volume prediction.Methods:This retrospective study included 140 patients who underwent unilateral two-stage prosthetic breast reconstruction (tissue expander followed by permanent implant insertion) between January 1, 2017, and December 31, 2019. The MRI image was converted into a 3-D image with a reconstruction program (A-VIEWⓇ, Coreline Soft, Seoul, Korea). An MRI image was obtained before the breast cancer surgery and then regularly at 1, 3, 6, 12, and 24 months intervals postoperatively. The volume of the breast landmark was confirmed and automatically converted to cubic centimeters using artificial intelligence (AI). Results: In total, 140 patients were evaluated. Maximized breast volume and volume differences were noted and compared with the preoperative volume at 1 month, and minimized volume was noted at 1 year for the cancer-involved side. The correlation between MRI-based preoperative breast volumetry and the mastectomy specimen volume was 0.611. Analysis of the volume difference between the MRI-based preoperative state and the real implant volume showed a minimal difference at 1 year postoperatively. The final implant size prediction formula was calculated using the 1-year postoperative volume (p<0.001, R2=0.594). All values were statistically significant. Conclusions: To avoid breast reconstruction based solely on the surgeon’s subjective assessment, MRI-based breast volumetry could be a useful method to develop more scientific and objective breast reconstruction planning. We suggest a volume prediction formula that describes the relationship between the postoperative breast volume and the final breast implant size.
A Highly Sensitive and Selective Fluorescent Probe for the Detection of Cerium(III) using Tridentate Based-Oxazolidine: Experimental and DFT Investigations
Authors: Promkatkaew Malinee , Chuaitammakit Laksamee Chaicharoenwimolkul , Naree Kitiya , Sillapa Jinnapus , Kongsriprapan Sopanat 
Published: July 2022

Abstract
A new fluorescent sensor based on oxazolidine derivative, (2-(pyridin-2-yl)oxazolidine-4,4-diyl)dimethanol; TN), was designed and synthesized successfully in high yield (82%) under Schiff base reaction. The structural elucidation of the sensor has been confirmed by spectroscopic techniques (IR, NMR, and HRMS-ESI-TOF). The designed TN sensor exhibited high sensitivity and selectivity towards an aqueous solution of cerium(III) over various metal ions under biologically relevant conditions (100.0 mM HEPES buffer pH 7.4). The limit of detection (LOD) was reported as 54.0 nM. The geometry of tridentate based-oxazolidine (TN) and its coordination of cerium(III) (TN-Ce3+) was proven by using the density functional theory (DFT) calculations. The HOMO-LUMO energy gap was decreased when TN-Ce3+ is formed. The results indicated that TN can be used as a fluorescent probe for high sensitivity and selectivity detection of cerium(III) ions.
Environmental Data Mining to Determine Coral Bleaching Severities
Authors: Halide Lidemar , Andika  , Marhaeni A. , Sulva M. , Akhir N. Y. , Syafrizal M. , Halide Halmar 
Published: July 2022

Abstract
Coral bleaching events could be viewed as a resultant of complex interactions involving various environmental factors. Just recently, a TEL (seawater Temperature-ENSO-Longitude) model is developed to predict the global bleaching events during the single 2016 El Niño episode. The model has a modest skill of approximately 50% predictability. In an attempt to improve coral bleaching prediction skill, here, two models are developed: an extended TEL model and a statistical model that combines multivariate and supervised classification techniques. The skills of both models are assessed in predicting bleaching events from three coral regions during several El Niño episodes. Two important findings are found. First, it is revealed that seawater salinity, ENSO, and Madden Julian Oscillation have stronger effect than seawater temperature in coral bleaching events. This has an important consequence to the fate of coral ecology when these phenomena are also subjected to change under global warming. Second, the predictability of our developed is 74% which is higher than that of the TEL model. Our model could serve as a tool for reef managers on communicating bleaching risk earlier. It could also be used for monitoring and reservation plans to mitigate the detrimental effect of various environmental stressors on corals.
Blood flow restriction accelerates aerobic training-induced adaptation of VO2 kinetics at the onset of moderate-intensity exercise
Authors: Hori Amane , Saito Ryuji , Suijo Kenichi , Kushnick Michael R , Hasegawa Daisuke , Ishida Koji , Hotta Norio 
Published: July 2022

Abstract
It is unclear whether blood flow restriction (BFR) accelerates the adaptation of the time constant (τ) of phase II oxygen uptake (VO2) kinetics in the moderate-intensity exercise domain via moderate-intensity aerobic training. Therefore, healthy participants underwent moderate-intensity [45–60% VO2 Reserve] aerobic cycle training with or without BFR (BFR group, n = 9; CON group, n = 9) for 8 weeks to evaluate VO2 kinetics during moderate-intensity cycle exercise before (Pre) and after 4 (Mid) and 8 (Post) weeks of training. Both groups trained for 30 min, 3 days weekly. BFR was performed for 5 min every 10 min by applying cuffs to the upper thighs. The τ significantly decreased by Mid in the BFR group (23.7 ± 2.9 s [Pre], 15.3 ± 1.8 s [Mid], 15.5 ± 1.4 s [Post], P < 0.01) and by Post in the CON group (27.5 ± 2.0 s [Pre], 22.1 ± 0.7 s [Mid], 18.5 ± 1.9 s [Post], P < 0.01). Notably, the BFR group’s τ was significantly lower than that of the CON group at Mid (P < 0.01) but not at Post. In conclusion, BFR accelerates the adaptation of VO2 kinetics at the onset of exercise by moderate-intensity aerobic training.
Laparoscopic left hemicolectomy of descending colon carcinoma with superior rectal artery （SRA）preservation and natural orifice specimen extraction （NOSE）:a standard operation procedure----with a video
Authors: Ke Zhang , Zijian Deng , Hai Hu , Jin Yan , Yuanyi Rui , Bo Yi , Yangchun Zheng 
Published: July 2022

Abstract
Background: Laparoscopic-assisted radical resection of colorectal cancer and Natural orifice specimen extraction surgery（NOSES）are widely used around the world. However, due to the low incidence of descending colon cancer, there are still some problems in the application of laparoscopic and NOSES techniques in left hemicolectomy, such as surgical route, blood vessel preservation, dissociation of splenic flexure, specimen pulling out, and intracorporeal anastomosis. Herein, we introduce the technical procedure of laparoscopic left hemicolectomy with Superior rectal artery （SRA）preservation and NOSE. Methods: A retrospective analysis was performed on 39 patients who underwent laparoscopic left hemicolectomy with SRA preservation and NOSE in the Gastrointestinal Surgery Center of Sichuan Cancer Hospital from November 2017 to May 2021. General information about the patients, preoperative data and short-term postoperative results were analyzed. Results: All operations were completed smoothly, with an average operation duration of 227.17 ± 65.51 min , intraoperative bleeding of 91.05 ± 66.71 ml, first time off bed of 11.97±2.15 h, first time to anus exhaust of 20.20 ± 10.08 h, first time to liquid diet of 2.48±0.72 days,and average postoperative stay of 7.66 ± 1.89 days. Two patients developed temporary intestinal obstruction, and one patient developed pulmonary infection. One patient developed chyle fistulay.One patient developed intestinal infection. All of them recovered well after active supportive treatment, and were discharged successfully. Conclusion:Laparoscopic left hemicolectomy with SRA preservation and NOSE is safe and feasible, with satisfactory short-term results, and is worthy of further clinical investigation.
Effect of Higher vs Standard Dosage of Vitamin D3 Supplementation on Bone Strength and bone metabolism in child with chronic kidney disease
Authors: feng zhiqiang , Lu Kunna , ma yan , liu feng , Zhang Xinhuan , Fu Yan 
Published: July 2022

Abstract
We investigated the effects of high VS. standard dose of vitamin D supplementation on kidney function and bone metabolism in children with chronic kidney disease (CKD). In all, 75 participants receive 2000 IU/D of vitamin D oral supplementation vs 75 participants who were randomized to receive 400 IU/d for a minimum of 4 months. We investigated the effects of vitamin D supplementation on kidney-related indicators and bone metabolism-related indicators at different doses. A total of 158 participants were screened and 150 met inclusion criteria. The indicators of chronic kidney disease, such as eGFR and serum uric acid, was negatively correlated with 25(OH)D levels and BMD. Serum 25(OH)D level and osteocalcin were positively correlated with spine BMD. The standard dose of vitamin D can improve serum uric acid levels, but high doses of vitamin D supplementation had no significant effect on serum uric acid. The high doses of vitamin D supplementation also improve alkaline phosphatase levels. When comparing the results of different doses of vitamin D supplementation, it was found that high-dose vitamin D supplementation did not improve bone density in the spine and femur neck relative to the standard dose of vitamin D, but improved low calciumemia and PINP levels. Among the children with clinical kidney disease, treatment with Vitamin D for 4 months at high dose, compare with standard dose of Vitamin D treatment, resulted in statistically significantly improve kidney function but no significantly different in bone metabolism.
980nm diode laser treatment for non-muscle-invasive bladder tumor with En bloc technique：single center experience
Authors: Mao Tianci , Zhang Hongyi , Cui Jie , Zhao Zhiguang , Jiao Dian , Zhang Wei 
Published: July 2022

Abstract
Background Transurethral resection of the bladder tumor (TURBT) is one of the most established urological procedures for the treatment of the primary non-muscle-invasive bladder cancer (NMIBC). The aim of the study is to evaluate the efficacy and safety of 980nm diode laser as a treatment for primary NMIBC.Methods 88 patients with NMIBC were treated by en bloc transurethral resection with 980nm diode laser, and 76 patients were treated by plasmakinetic transurethral resection From May 2016 to July 2019 at the Department of Urology, Tangdu Hospital, Air force Medical University. The clinical data were collected and compared between the two groups.Results The bladder irrigation time was shortened in 980nm diode laser group compared to that of plasmakinetic transurethral resection group (4.1±0.6 vs 13.1±3.1 h, p<0.001). 13.2% (10/76) patients experienced obturator nerve reflex, and 5.3% (4/76) experienced delayed bleeding in plasmakinetic transurethral resection group, while no obturator nerve reflex and delayed bleeding cases were observed in 980nm diode laser group (p < 0.05). The postoperative catheterization and hospitalization time showed no significant difference between the two groups. The median follow-up time was 27 months (13-38 months). No significant difference in the recurrence rate was observed between the two groups.Conclusions 980nm diode laser is an effective and safe tool in transurethral resection of NMIBC using En bloc technique. It has less perioperative complications and shortened bladder irrigation time.
WITHDRAWN: Species distribution based on ENM of a critically endangered tree species - Madhuca insignis
Authors: Karpakal Souravi , PE Rajasekharan , NARAYANAN VIJAYANAND 
Published: July 2022

Abstract
Our study assessed the potential distribution of Madhuca insignis in India by employing modeling through identified bioclimatic variables (present and future) and documented distribution data. The MaxEnt software was utilized to simulate the current distribution of M. insignis and project the range shift in future climatic scenarios. The future climate data was downscaled using the delta method to 30 arc seconds (1000m) used to predict the suitable habitat M. insignis starting from 2020 to 2080 with 20-year intervals using two different general circulation models (GCM). Habitat assessment of the species shows the average and sporadic distribution within the study area. The model works well with fragmented sample sites of occurrence data and environmental variables, both continuous and categorical. ENM of critically endangered species like M. insignis helps plan land use management around the existing natural populations, identify top-priority hotspot regions, and identify newer populations and suitable niches.
Comparative studies of yoghurt produced from animal and selected imitation vegetable milk
Authors: Arise Abimbola Kemisola , Malomo Sunday Abiodun , Obuo Jacob , Adesanya Omotola F , Esan Olukorede Taiwo 
Published: July 2022

Abstract
In this study, the possibility of producing yoghurt from both plant and animal sources was explored. Hence, a comparative study was carried out on the yoghurt samples that were produced from cow milk (CM), oat flakes (OM) and African yam beans (Sphenostylis stenocarpa) (AYB). The physicochemical and organoleptic properties as well as the microbial stability of the yoghurt samples were analyzed using standard methods. The proximate compositions (moisture, fat, protein, fibre, ash and carbohydrate) of the samples were 85.50-86.45, 0.25–2.95, 5.42–6.10, 0.09–1.18, 0.94 − 0.88 and 3.56–7.43%, respectively while their total solids ranged between 13.55 and 14.50 for the three yoghurt samples CM, OM and AYB, respectively. The proximate results showed that all the chemical compositions, except their ash content, significantly (p < 0.05) differed in all the three samples. The ranges of the total viable bacteria count of the sample CM, OM and AYB were 1.58-3.0×109, 1.95-4.0×108 and 5.50–1.1×109 cfu/ml during the 14 days of refrigeration storage, respectively. A decrease in the count was noticed on the third day thereby leading to the deterioration of the yoghurt samples and reduction in the nutritional composition with storage. The sensory evaluation results showed no significant difference (p ≤ 0.05) in the aroma, taste and overall acceptability of the three yoghurt samples. This work has shown the potential of vegetable milk as an alternative source of milk in the manufacture of yoghurt with improved nutritional values and consumers acceptability.
Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients
Authors: Duanmu Hongyi , Ren Thomas , Li Haifang , Mehta Neil , Singer Adam J , Levsky Jeffrey M , Lipton Michael L , Duong Tim Q 
Published: July 2022

Abstract
Objectives: To use deep learning of serial Portable chest x-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients. Methods: This is a retrospective study. Serial pCXR and serial clinical variables were analyzed for data from day 1, day 5, day 1-3, day 3-5, or day 1-5 on IMV (110 IMV survivors and 76 IMV non-survivors). The outcome variables were duration on IMV and mortality. With 5-fold cross validation, the performance of the proposed deep learning system was evaluated by receiver operating characteristic (ROC) analysis and correlation analysis. Results: Predictive models using 5-consecutive-day data outperformed those using 3 consecutive-day and 1-day data. Prediction using data closer to the outcome was generally better (i.e., day 5 data performed better than day 1 data, and day 3-5 data performed better than day 1-3 data). Prediction performance was generally better for the combined pCXR and non-imaging clinical data than either alone. The combined pCXR and non-imaging data of 5-consecutive days predicted mortality with an accuracy of 85±3.5% (95% confidence interval (CI)) and an area under the curve (AUC) of 0.87±0.05 (95% CI) and predicted the duration needed to be on IMV to within 2.56±0.21 (95% CI) days on the validation dataset. Conclusions: Deep learning of longitudinal pCXR and clinical data have the potential to accurately predict mortality and duration on IMV in COVID-19 patients. Longitudinal pCXR could have significant prognostic value if these findings can be validated in a large, multi-institutional cohort.