bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of the COVID-19 pandemic and multiplex polymerase chain reaction test on outpatient antibiotic prescriptions for pediatric respiratory infection
Authors: Kitagawa Daisuke , Kitano Taito , Furumori Madoka , Suzuki Soma , Shintani Yui , Nishikawa Hiroki , Suzuki Rika , Yamamoto Naohiro , Onaka Masayuki , Nishiyama Atsuko , Kasamatsu Takehito , Shiraishi Naoyuki , Suzuki Yuki , Nakano Akiyo , Nakano Ryuichi , Yano Hisakazu , Maeda Koichi , Yoshida Sayaka , Nakamura Fumihiko 
Published: September 2022

Abstract
This study aimed to evaluate the impact of the prolonged COVID-19 pandemic on outpatient antibiotic prescriptions for pediatric respiratory infections at an acute care hospital in Japan in order to direct future pediatric outpatient antibiotic stewardship.The impact of the COVID-19 pandemic and FilmArray Respiratory Panel (RP) on outpatient antibiotic prescriptions was assessed from January 2019 to December 2021 using an interrupted time series analysis of children <20 years. The overall antimicrobial prescription rate decreased from 38.7% to 22.4% during the pre-pandemic period. The pandemic (relative risk [RR] level, 0.97 [0.58–1.61]; P = 0.90; RR slope, 1.05 [0.95–1.17] per month; P = 0.31) and FilmArray RP (RR level, 0.90 [0.46–1.75]; P = 0.75; RR slope, 0.95 [0.85–1.06] per month; P = 0.33) had no significant effect on the monthly antibiotic prescription rates. The COVID-19 pandemic was not significantly related to the antibiotic prescription rate, suggesting that it did not impact physicians’ behavior toward antibiotic prescriptions. Replacing rapid antigen tests with the FilmArray RP introduced on December 1, 2020, did not affect the magnitude of the reduction in antibiotic prescription rate for pediatric respiratory infections.
Molecular Classification of Endometrial Cancer of Chinese Population
Authors: Kang Nan , Zhang Xiaobo , Wang Zhiqi , Dai Yibo , Chen Ran , Qu Linlin , Lu Shanshan , Kong Fangzhou , Zhu Changbin , Gai Fei , Su Wenqing , Shen Danhua , Wang Jianliu 
Published: September 2022

Abstract
Background: Endometrial cancer (EC) is one of the most prevalent gynecologic tumors. Current diagnosis and treatment of EC no longer rely solely on traditional histopathological classification. Nevertheless, molecular classification of EC demonstrated clear prognostic value and may guide clinical decision-making.
Methods: In this study, archived formalin-fixed paraffin-embedded (FFPE) tissue from 229 EC patients were employed for further research. Four subtypes [POLEultramutated (POLE mut), MMR-deficient (MMR-D), p53 abnormal (p53abn), and no specific molecular profile (NSMP)] were stratified by next-generation sequencing (NGS) panel (Amoy Diagnostics, Xiamen, China) targeting POLE, TP53, BRCA1, and BRCA2 genes and microsatellite instability (MSI) status. Immunohistochemistry (IHC) was applied to detect the expression of P53, MMR and other related proteins.
Results: Distributions of the EC subtype in 229 patients were 12 (5.24%) of POLE mut, 35 (15.28%) of MMR-D, 36 (15.72%) of p53abn, and 146 (63.76%) of NSMP. Compared to published results of EC subtypes in Caucasian including TCGA, ProMisE as well as TransPORTEC, real-world data on Chinese EC displayed a significantly larger proportion of NSMP/CNL (copy number low). In addition, it was found that BRCA2 appeared to be more prevalent in EC than BRCA1. Further analysis revealed that the overall consistency for NGS-based and IHC-based P53 abnormalities detection and MSI/MMR status assessment were as high as 89.08% and 96.94%, respectively, and about half of truncating mutations can result in detectable (but nonfunctional) p53 protein yielding a normal wild-type staining pattern.
Conclusions: Chinese ECs have unique molecular characteristics. In order to perform accurate molecular typing of Chinese ECs, more molecular indicators that match the characteristics of the Chinese population should be added to the existing classifiers. Further analysis revealed a high consistency between NGS and IHC in P53 detection and MSI evaluation.
Predictive value of early CTSI scores for early organ failure in patients with acute pancreatitis: a 5-year retrospective study from the emergency department of a large tertiary hospital
Authors: He Yang , Ding Ying , Li Jinyue , Zhou DaoYang , Zhan Kun 
Published: September 2022

Abstract
Objective: Acute pancreatitis (AP) is a life-threatening disease frequently encountered in emergency rooms. We need to explore the significance of early CTSI score in patients with acute pancreatitis, especially in the assessment of organ failure.
Methods: A total of 2828 AP patients between October 2013 to March 2019 were included in this study. We collected data such as age, sex, vital signs on admission (heart rate, systolic blood pressure, respiratory rate, GCS score), test data (creatinine, P/F), imaging content (pleural effusion, pancreatic necrosis score, Balthazar grades, CTSI score). We performed a retrospective analysis of the data.
Results: AP patients who develop early organ failure have older age, faster heart rate, higher blood pressure and faster respiratory rate(P<0.001). If a pleural effusion is found on Computed Tomography (CT) examination, the patient may have organ failure. The mean CTSI score of AP patients with organ failure was 4.84, which was higher than that of patients without early organ failure. The area under the ROC curve of CTSI is 0.683, the cut-off is 3.5, the sensitivity is 68.3%, and the specificity is 61.5%.
Conclusions: Vital signs of patients are closely related to organ failure. Early CTSI score is meaningful and has suggestive value for early organ failure. A routine CTSI score for patients with pancreatitis can help emergency physicians assess the condition.
Machine Learning Weather Analogs for Renewable Forecasting
Authors: Hu Weiming , Cervone Guido , Young George , Monache Luca Delle 
Published: September 2022

Abstract
The Analog Ensemble (AnEn) is a technique to generate forecast ensembles using a deterministic model and associated observations. It has been widely used for weather forecasting and renewable energy production forecasting. Ensemble members are chosen based on a similarity metric that calculates the weighted multi-variate Euclidean distance. However, identifying optimal weights is a challenging and computationally expensive process, which often involves performing a constrained exhaustive search. As a result, only a few predictors were selected and optimized in previous AnEn studies.
A new Machine Learning similarity metric is proposed address this shortcoming. First, a Deep Learning network is trained to generate latent features using all the temporal multi-variate input predictors. The analogs for a target forecast are selected by computing the Euclidean distance of the latent variables between the target and all previous forecasts. This process can be performed in parallel for each location. The proposed method does not require prior predictor selection and weight optimization. It is tested using wind speed and solar irradiance forecasts in Pennsylvania for 2017 to 2019. Results show that the proposed method is capable of handling a large number of predictors and it outperforms the original similarity metric in RMSE, bias, and CRPS. Since the transformation network is trained empirically, the proposed method has been found to be more flexible for searching through a longer historical record.
Metabolic Associated Fatty Liver Disease Better Identifying Patients at Risk of Liver and Cardiovascular Complications
Authors: Cheng Yu-Ming , Wang Chia-Chi , Kao Jia-Horng 
Published: September 2022

Abstract
Background/purpose:
A nomenclature of “metabolic associated fatty liver disease” (MAFLD) with new definition was proposed in 2020 instead of previous “non-alcoholic fatty liver disease” (NAFLD). However, which better fits the clinical demand remains controversial.
Methods
The participants with fatty liver on ultrasonography from Taiwan bio-bank cohort were included. MAFLD was defined as the presence of fatty liver, plus any of the following three conditions: overweight/obesity, type 2 diabetes mellitus (DM), or metabolic dysfunction. The severity of liver fibrosis was determined using fibrosis-4 (FIB-4) score and NAFLD fibrosis score (NFS). The risk of atherosclerosis was assessed using intima media thickness (IMT) or plaques of carotid duplex ultrasound.
Results
A total of 9719 subjects (age 55.9 ± 10.8; males 42.6%) were divided to four groups including “both fatty liver disease (FLD)”, “MAFLD only”, “NAFLD only”, and “neither FLD” with the percentages of 79.7%, 12%, 7.1%, and 1.2%, respectively. Compared with NAFLD patients, MAFLD patients had higher frequency of male gender, BMI, waist circumference, HbA1C, and triglyceride. On addition, they had higher levels of serum ALT, AST, GGT, fatty liver index (FLI), NFS and IMT, but no difference in FIB-4 index and the percentage of carotid plaques. Of note, the added population “MAFLD only group” had higher levels of AST, ALT, GGT, FLI, FIB-4, NFS, IMT and higher percentage of carotid plaques than the missed population “NAFLD only group”.
Conclusions
This large, population-based study showed MAFLD with new diagnostic criteria could identify more high-risk patients of metabolic, liver and cardiovascular disease complications in clinical practice.
Synthesis and In Vitro Antimicrobial Activity of Some Novel pyrido[3,2- f][1,2,4,3]thiadiazaphosphepinone Compounds, bearing a pyridine moiety
Authors: Hassan Mohamed M. , Alhalafi Mona H. 
Published: September 2022

Abstract
Several pyridothiadiazaphosphepinones (3–9) were synthasized by combining tetraphosphorus decasulfide, Lawesson's reagent, phosphorus tribromide, and P,P-dichlorophenyl phosphine with 2-(aminosulfanyl)-6-(3,4-dichlorophenyl)-4-(furan-2-yl)-5-oxo-5,6-dihydropyridine-3-carbonitrile (2). The reaction mechanisms for these products were discussed. On the basis of elemental analysis and spectrum data, the structures of the newly synthesized compounds were determined. The biological activity of every synthesized compound was examined against various microorganisms using the disc diffusion method. The bulk of the microorganisms tested are effectively inhibited by the newly synthesised chemicals.
A Luminescent Cu(II)-MOF with Lewis Basic Schiff Base Sites for the Highly Selective and Sensitive Detection of Fe 3+ Ions and nitrobenzene
Authors: Kaur Manpreet , Yusuf Mohamad , Malik Ashok Kumar 
Published: September 2022

Abstract
A Schiff base functionalized Cu(II)-based metal-organic framework (MOF) denoted as Cu-L, was developed via a solvothermal method using low-cost starting material, i.e., Schiff base linker, 4,4'-(hydrazine-1,2-diylidenedimethylylidene)dibenzoic acid (L). Good crystallinity and thermal stability of synthesized Cu-L was confirmed by the crystallographic and thermogravimetric studies. An excellent photoluminescent properties of Cu-L ensure their suitability for the ultrafast detection of Fe3+ ions and nitrobenzene via a turn-off quenching response. The remarkable sensitivity of Cu-L towards Fe3+ions and nitrobenzene was certified by the low limit of detection (LOD) of 47 ppb and 0.004 ppm, respectively. With incorporated free azine groups, this MOF could selectively capture Fe3+ions and nitrobenzene in aqueous solution. The plausible mechanistic pathway for the quenching in the fluorescence intensity of the Cu-L in the presence of Fe3+ ions and nitrobenzene have been explained in detail through the density functional theory calculations, photo-induced electron transfer (PET), fluorescence resonance energy transfer (FRET), and competitive energy adsorption. This present study open a new avenue to synthesize novel crystalline MOF-based sensing materials from cheap Schiff base linkers for fast sensing of toxic pollutants.
Natural variations in the promoter of Stay-green gene, TaSGR associated with yield-related traits in wheat
Authors: Islam Md Ashraful , Ma Jielong , Gao Lifeng , Jin Xiujuan , Guo Feng , Sun Lili , Zhao Kai , Bai Xingxuan , Li Ning , Wang Shuguang , Jia Jizeng , Jing Ruilian , Sun Daizhen 
Published: September 2022

AbstractStay-green ( SGR ) gene is crucial for degradation of chlorophyll in Arabidopsis but remained elusive in wheat, especially the effects of their allelic variations on leaf senescence and grain yield. Here, systematic analysis of chlorophyll content and TaSGR expression in wheat flag leaves during natural senescence revealed that the higher expression of TaSGR-5A and TaSGR-5B leads to faster chlorophyll degradation and endogenous hormones and dark treatment could induce TaSGR-5A and TaSGR-5B transcriptions. Single nucleotide polymorphism (SNP) assays identified eight allelic variation sites in the promotor of TaSGR-5A and four haplotypes were detected in wheat populations. Two markers SNP-A-1 or SNP-A-2 were designed to differentiate four haplotypes. Besides, two allelic variation sites were identified in the promotor of TaSGR-5B and three haplotypes were detected in wheat populations. Two markers SNP-B-1 or SNP-B-2 were designed to differentiate three haplotypes . Association analysis suggested that accessions with Hap-5A-1 had higher spikelet number per spike (SNS), grain per spike (GPS), thousand-grain weight (TGW), yield per plant and chlorophyll content along with reduced TaSGR-5A transcription compared to accessions with other haplotypes. Accessions with Hap-5B-2 of TaSGR-5B had higher chlorophyll content and Normalized Difference Vegetation Index (NDVI) relative to the accessions with other haplotypes. However, silencing of TaSGR significantly delayed leaf senescence without affecting SNS, TGW and yield suggesting that allelic variations in TaSGR promoter might regulate increased SNS and grain yield in wheat. Overall, functional markers developed in this study could be utilized for screening stay-green phenotype with increased grain yield in wheat breeding.
Multiple Potential Pathways in Diabetes Revealed by Integrated Transcriptome and Pathway Analyses
Authors: Wu Peishan , Hou Yanli , Gao Guoliang , Wang Xiaolei 
Published: September 2022

Abstract
Liver damage is a primary complication leading to aggravation of diabetes. Therefore, a better understanding of the biological underpinnings of liver damage and the related signalling pathways might lead to the development of novel biomarkers and targeted therapies. While a multitude of transcriptomic data are currently available for diabetes from several parts of the world, almost no such studies have been performed in patients with diabetes after stem cell therapy. This study aimed to improve the understanding of the altered molecular networks in the liver tissue of diabetic rats after stem cell therapy. We compared liver tissues from eight diabetic rats treated with or without adipose-derived stem cells (ADSCs) and identified 1770 upregulated and 362 downregulated transcripts. Selected genes identified by RNA-Seq were subsequently validated using qRT‒PCR. Differentially expressed (2.0-fold change, adj. p < 0.05) transcripts were subjected to Ingenuity Pathway Analysis, which revealed numerous affected signalling pathways and functional categories. Dual specificity phosphatase 1 (DUSP1) mechanistic networks were activated prominently in liver tissue. Additionally, genes related to liver damage, inflammation, and insulin secretion were markedly enriched in liver tissue. Expression of genes indicative of hepatitis, liver steatosis and liver fibrosis was observed in liver tissue. Our data provide novel insight into the biology of liver damage and suggest common alterations in molecular networks during liver damage in diabetic rats and suggest the need for future development of therapeutic interventions targeting these common signalling pathways.
The impact of the COVID‑19 pandemic on physical activity, life satisfaction, anxiety, stress perception and coping strategies in student-athletes: a comparison between Belarus and Poland - countries with a different approach of anti-pandemic measures
Authors: Shpakou Andrei , Sokołowska Dorota , Krajewska-Kułak Elżbieta , Cybulski Mateusz , Kowalewska Beata , Korpak Filip , Surkov Sergei , Owoc Jakub , Krakowiak Jan , Kowalczuk Krystyna 
Published: September 2022

Abstract
Background
Two years and more of the COVID-19 pandemic has changed the lives of people around the world and has had a profound impact on the field of sports. This has resulted in decreased physical activity (PA) and changes in mental health. The goal was to assess self-reported physical activity, life satisfaction, perceived stress, choice of coping strategies and their correlation among student athletes from neighboring countries in the context of various anti-pandemic strategies.
Methods
Standardized questionnaires: The International Physical Activity Questionnaire - Short Form (IPAQ-SF), The Satisfaction With Life Scale (SWLS), the State-Trait Anxiety Inventory (STAI), The Perceived Stress Scale (PSS-10), and Coping Orientation to Problems Experienced (Mini-COPE) were used to compare the self-assessment of 600 students from the Physical Education and Sports departments of universities in Belarus (n = 333), where restrictions were found to be less stringent than in neighboring Poland (n = 267).
Results
The minor differences in PA between the two countries indicate that student athletes have adapted fairly quickly and found ways to keep PA at a fairly high level. Nevertheless, higher PA was recorded in the group of student athletes from Belarus. PA levels correlated with life satisfaction, anxiety and stress levels. Female students from Poland reported lower satisfaction with their lives. Their perception of stress was twice as high as that of their Belarusian counterparts. The most common coping strategy in both groups was active coping. The strategies of avoiding the problem and seeking outside support were used to a lesser extent by Polish respondents.
Conclusion
The level of physical activity, well-being of student athletes, is associated with increased mental health and coping with stress and contributed to the prevention of affective disorders during the COVID-19 pandemic. Moreover, it is dependent on the country's anti-pandemic policies.
Validity of bronchoscopist assessment of patient discomfort during flexible bronchoscopy: an observational study
Authors: Usui Yusuke , Miyoshi Shion , Nakamura Yasuhiko , Shimizu Hiroshige , Sekiya Muneyuki , Urabe Naohisa , Isshiki Takuma , Isobe Kazutoshi , Sakamoto Susumu , Takai Yujiro , Homma Sakae , Kishi Kazuma 
Published: September 2022

Abstract
The distress experienced by patients during bronchoscopy is often more severe than bronchoscopists anticipate. We examined the accuracy of bronchoscopist evaluation of predicted patient discomfort during bronchoscopy under intravenous sedation. This study retrospectively reviewed 186 consecutive patients who underwent bronchoscopy between December 2018 and April 2019. Ultimately, 113 patients who underwent bronchoscopy with pethidine and 64 patients who underwent bronchoscopy with pethidine and midazolam were assigned to the pethidine group and pethidine with midazolam combination group, respectively. We compared the patient discomfort score obtained by self-assessment with the patient discomfort score predictively evaluated by bronchoscopists using a 5-point rating scale in each sedation group. Any discrepancy was then evaluated. The pethidine group had significantly higher self-assessed patient discomfort scores than the predictive assessment by bronchoscopists [mean score 3.4±1.3 vs. 2.9±1.2; P < 0.0001]. Conversely, the pethidine with midazolam group had significantly lower self-assessed patient discomfort score than the bronchoscopists’ predictive assessment [mean score 2.4±1.5 vs. 3.3±1.4; P = 0.0004]. Multivariate analysis identified the use of midazolam as a significant factor affecting patient discomfort (odds ratio: 0.176, P < 0.001). Bronchoscopists may underestimate patient discomfort during bronchoscopy under intravenous sedation. The use of midazolam in combination with pethidine relieved patient discomfort.
Vehicle detection algorithm based on lightweight YOLOX
Authors: Xiong Cong , Yu Anning , Yuan Senhao , Gao Xinghua 
Published: September 2022

Abstract
Nowadays, accurate and fast vehicle detection technology is of great significance for the construction of intelligent transportation systems in the context of the era of big data. This paper proposes an improved lightweight YOLOX real-time vehicle detection algorithm. Compared with the original network, the detection speed and accuracy of the new algorithm have been improved with fewer parameters. First, referring to the GhostNet, we make a lightweight design of the backbone extraction network, which significantly reduces the network parameters, training cost, and inference time. Furthermore, by introducing the α-CIoU loss function, the regression accuracy of the bounding box(bbox) is improved while the convergence speed of the model is also accelerated. The experimental results show that the mAP of the improved algorithm on the BIT-Vehicle dataset can reach up to 99.21% with 41.2% fewer network parameters and 12.7% higher FPS than the original network and demonstrate the effectiveness of our proposed method.
High performance Juncus effusus cellulosic adsorbent modified with citric acid and magnetic Fe3O4 for dye wastewater
Authors: Zhou Keming , Yan Lianpeng , Zhang Rui , Zhu Xuedong 
Published: September 2022

Abstract
Eco-friendly cellulose-based magnetic adsorbents have attracted great attention in the field of dye adsorption recently. Herein, we utilized the pith of biomass Juncus effusus (JE) to synthesize a novel type of magnetic adsorbents for the treatment of wastewater containing methylene blue (MB). After employing citric acid (CA) for esterified modification and then loading Fe3O4 upon JE, the obtained magnetic citric acid-modified JE pith powders (M-CA/JEPP) showed outstanding adsorption properties. For 50 mg/L MB dye solution, the adsorption efficiency could reach 98.34% within 10 min under basic condition and the maximum adsorption capacity was 293.132 mg/g at 303 K. Moreover, magnetization overcomes the disadvantages of JE powders density being small which is very difficult to collect. In the other words, this magnetic adsorbent has excellent reusability and it is easily to be separated from water, which provides new insights for development of cellulose-based adsorbents to remove dye in aqueous systems.