bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative Antibiotics And Time To Reach Discharge Criteria After Appendectomy For Complex Appendicitis
Authors: Boom A.L. van den , de Wijkerslooth E.M.L. , Giesen L. J. X. , Rossem C. C. van , Toorenvliet B. R. , Wijnhoven B. P. L. 
Published: December 2021

Abstract
Background: Postoperative antibiotic treatment is indicated for 3 – 5 days following appendectomy for complex appendicitis. However, meeting discharge criteria may allow for safe discontinuation of antibiotics and discharge. This study assessed the association between time to reach discharge criteria and duration of postoperative antibiotic use and length of hospital stay. Methods: This was a multicenter retrospective cohort study including patients who underwent appendectomy for complex appendicitis and received postoperative antibiotics for >24 hours. Main outcome measures were time to reach discharge criteria, duration of postoperative antibiotic use, length of hospital stay and postoperative infectious complications. Discharge criteria were defined as absence of fever (temperature ≤38°C) for 24 hours, ability to tolerate oral intake and pain controlled by oral analgesics.Results: A total of 124 patients were included between May 2014 and January 2015. Median time to reach discharge criteria was 2 days (interquartile range 1 – 3). Postoperative antibiotics duration and hospital stay were 5 (IQR 3 – 5) and 5 (IQR 4 – 6) days, respectively. Infectious complications occurred in 15 of 124 patients (12%) and was not different between patients reaching discharge criteria before or after 2 postoperative days.Conclusions: Discharge criteria were met by a median of 2 days after appendectomy for complex appendicitis. This suggests that postoperative antibiotics and hospital stay can be reduced without an increase in infectious complications. In daily practice this is not done, prescribed antibiotics are not reduced in total days given. Prospective studies that evaluate limited postoperative antibiotic use, based on these criteria, are necessary.
Intelligent Physical Exercise Training (IPET) in the Offshore Wind Industry: a Feasibility Study With an Adjusted Conceptual Model
Authors: Oestergaard Anne Skov , Sandal Louise Fleng , Smidt Trine Fernando , Søgaard Karen 
Published: December 2021

Abstract
Background: Good physical health and capacity is a requirement for offshore wind service technicians (WTs) who have substantial physical work demands and are exposed to numerous health hazards. Workplace physical exercise has shown promising results as a strategy for maintaining and improving physical health and work ability among various types of workers. Therefore, we aimed to assess the feasibility and preliminary efficacy of the Intelligent Physical Exercise Training (IPET) concept among WTs in the offshore wind industry.Methods: The present study used a within-subject design to assess the feasibility and preliminary efficacy of IPET (one hour/week individualized exercise during working hours). The intervention period was 12 weeks, with the first eight weeks performed on site as supervised or partly supervised exercise during work hours and the last four weeks planned as home-administered exercise after termination of the seasonal offshore service period. Three assessments, T1 (six months prior to intervention start), T2 (start of intervention) and T3 (end of intervention), of physical health and capacity (self-reported and objective measurements) were conducted and the period between T1 and T2 served as a within-subject control period. Primary outcome was feasibility measured as compliance, adherence, adverse events, and participant acceptability. Descriptive statistics were used to present feasibility outcomes and pairwise comparisons were performed to assess for differences in outcomes between T1, T2 and T3. Results: All WTs at the included wind farm (n=24, age: 40 years (SD±8)) participated in the study. No serious adverse events were reported. Compliance and adherence of 95 and 80% respectively, were reached in the eight-week supervised part, but lower when exercise was home-administered (<20%). Acceptability was high for the supervised part, with 83% indicating that the exercise program worked well and 100% that exercise should be implemented as an integrated part of the working structure. Physical capacity and health parameters collected at T1, T2 and T3 increased before and during the intervention period, indicating seasonal fluctuations in addition to possible improvements caused by the intervention.Conclusion: Implementation of Intelligent Physical Exercise Training on site and during working hours seems to be feasible and well received among WTs in the offshore wind industry.Trial registration: ClinicalTrials.gov (Identifier: NCT04995718). Retrospectively registered on August 6, 2021, https://clinicaltrials.gov/ct2/show/NCT04995718?term=NCT04995718&draw=2&rank=1
Immune Characteristics-Related Typing of Colorectal Cancer and the Establishment of 14-Gene Prognostic Model
Authors: Ma Jianxing , Wang Chen 
Published: December 2021

Abstract
This study is to establish NMF (nonnegative matrix factorization) typing related to the tumor microenvironment (TME) of colorectal cancer (CRC) and to construct a gene model related to prognosis to be able to more accurately estimate the prognosis of CRC patients. NMF algorithm was used to classify samples merged clinical data of differentially expressed genes (DEGs) of TCGA that are related to the TME shared in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, and survival differences between subtype groups were compared. By using createData Partition command, TCGA database samples were randomly divided into train group and test group. Then the univariate Cox analysis, Lasso regression and multivariate Cox regression models were used to obtain risk model formula, which is used to score the samples in the train group, test group and GEO database, and to divide the samples of each group into high-risk and low-risk groups, according to the median score of the train group. After that, the model was validated. Patients with CRC were divided into 2, 3, 5 subtypes respectively. The comparison of patients with overall survival (OS) and progression-free survival (PFS) showed that the method of typing with the rank set to 5 was the most statistically significant (p=0.007, p<0.001, respectively). Moreover, the model constructed containing 14 immune-related genes (PPARGC1A, CXCL11, PCOLCE2, GABRD, TRAF5, FOXD1, NXPH4, ALPK3, KCNJ11, NPR1, F2RL2, CD36, CCNF, DUSP14) can be used as an independent prognostic factor, which is superior to some previous models in terms of patient prognosis. The 5-type typing of CRC patients and the 14 immune-related genes model constructed by us can accurately estimate the prognosis of patients with CRC.
Arabidopsis CPR5 Plays a Role in Regulating Nucleocytoplasmic Transport of mRNAs in Ethylene Signaling Pathway
Authors: Chen Jiacai , Sui Xinying , Ma Binran , Li Yuetong , Li Na , Qiao Longfei , Yu Yanchong , Dong Chun-Hai 
Published: December 2021

Abstract
The ETR1 receptor plays a predominant role in ethylene signaling in Arabidopsis thaliana. Previous studies showed that both RTE1 and CPR5 can directly bind to the ETR1 receptor and regulate ethylene signaling. RTE1 was suggested to promote the ETR1 receptor signaling by influencing its conformation, but little is known about the regulatory mechanism of CPR5 in ethylene signaling. In this study, we presented data showing that both RTE1 and CPR5 bound to the N-terminal domains of ETR1, and regulated ethylene signaling via the ethylene receptor. On the other hand, the research provided evidence indicating that CPR5 could act as a nucleoporin to regulate the ethylene-related mRNAs export out of the nucleus, while RTE1 or its homolog (RTH) had no effect on the nucleocytoplasmic transport of mRNAs. Nuclear qRT-PCR analysis and poly(A)-mRNA in situ hybridization showed that defect of CPR5 restricted nucleocytoplasmic transport of mRNAs. These results advance our understanding of the regulatory mechanism of CPR5 in ethylene signaling.
Degumming of Hemp Fibers Using Combined Microwave Energy and Deep Eutectic Solvent Treatment
Authors: Ahmed Bulbul , Wu Qinglin , Gwon Jaegyoung , Negulescu Ioan , Cameron Bruce 
Published: December 2021

Abstract

Hemp bast fibers were degummed using combined microwave energy (MWE) and deep eutectic solvent (DES) to generate pure hemp cellulose fibers for potential textile applications. The properties of the obtained fibers were investigated and compared with those from the traditional alkali-based process using several analytical techniques. Results revealed that hemp fiber surface underwent dramatic structural disruption during the pretreatment, due to the removal of “gummy” compounds (i.e., lignin, pectin, oil, and wax) and amorphous cellulose. Ultraviolet (UV) protection factor (UPF) of DES-treated fibers with 1:20 fiber-DES ratio (i.e., 183.67) were significantly higher than those from the traditional alkali-treated (140.75) and untreated raw hemp fibers (127.47). The treated fibers also had higher thermal stability. Chemical composition analysis showed that the cellulose content in the treated fiber samples increased to 49.95% which was comparable with the cellulose content of the alkali-treated fibers (49.49%). The study demonstrates a potentially effective, less time-consuming, and environmentally sustainable protocol for manufacturing purified hemp cellulose fibers using combined MWE-DES treatment.
Dendritic cell targeting virus-like particle delivers mRNA for in vivo immunization
Authors: Yin Di , Ling Sikai , Tian Xiaolong , Li Yang , Xu Zhijue , Jiang Hewei , Zhang Xue , Wang Xiaoyuan , Shi Yi , Wang Quanjun , Xu Jianjiang , Hong Wei , Xue Heng , yang hang , Zhang Yan , Da Lintai , Han Ze-Guang , Tao Sheng-ce , Hong Jiaxu , Ying Tianlei , Cai Yujia 
Published: December 2021

Abstract
mRNA vaccine was approved clinically in 2020. Future development includes delivering mRNA to dendritic cells (DCs) specifically to improve effectiveness and avoid off-target cytotoxicity. Here, we developed virus-like particles (VLPs) as a DC tropic mRNA vaccine vector and showed the prophylactic effects in both SARS-CoV-2 and HSV-1 infection models. The VLP mRNA vaccine elicited strong cytotoxic T cell immunity and durable antibody response with the spike-specific antibodies that lasted for more than 9 months. Importantly, we were able to target mRNA to DCs by pseudotyping VLP with engineered Sindbis virus glycoprotein and found the DC-targeting mRNA vaccine significantly enhanced the titer of antigen-specific IgG, protecting the hACE-2 mice from SARS-CoV-2 infection. Additionally, we showed DC-targeted mRNA vaccine also protected mice from HSV-1 infection when co-delivering the gB and gD mRNA. Thus, the VLP may serve as an in situ DC vaccine and accelerate the further development of mRNA vaccines.
Feline Herpesvirus Infection of Snow Leopard
Authors: Wu Qiaoxing , Wu Hongchao , He Shunfu , Liu Yuxiu , Chen Yalei , Qi Xinzhang , Gu Xiangyang , Wen Yifan , Jin Xuelin , Jin Yipeng , Tian Kegong 
Published: December 2021

Abstract
Feline herpesvirus type 1 (FHV-1) is a common causative agent of domestic cats rhinotracheitis and gradually threatens the wild felid worldwide. The endangered snow leopard belongs to the family Felidae and is also the top predator on the Tibetan Plateau. Herein, FHV-1 was identified and isolated from three dead snow leopards with symptom of sneezing and rhinorrhea. To explore the relationship between FHV-1 and their death, histopathology and molecular biology was performed. The organs and nasal swabs were collected for examinations of histopathology, the nucleic acid of the pathogen, viral isolation, and sequence analysis. The results reveal that all three snow leopards were infected with FHV-1. The first case primarily died of old cerebral infarction and secondary non-suppurative meningoencephalitis probably caused by FHV-1. The second case mainly died of renal failure accompanied by interstitial pneumonia caused by FHV-1. The third case was doubted to be related to the reactivation of latency of FHV-1. The gD and gE gene sequence alignment of the FHV-1 isolate strain revealed that the isolated strain originated from a domestic cat. Therefore, FHV-1 infection can cause different lesions of snow leopards and shows a high risk for the wild felid. We should focus more on protecting felid against threatening of FHV-1 infection originating from domestic cats.
Temporal and spatial variation characteristics of temperature and its impact on grain production in Northeast China in recent 50 years
Authors: Yan Weiping , Zhao Hongxiang , Zhang Lihua , Xu Chen , Tan Guobo , Sun Ning , Li Fei , Meng Xiangmeng , Gu Yan , Bian Shaofeng 
Published: December 2021

Abstract
Climate warming has a great impact on grain production in northeast China, but there are few studies on the temporal and spatial variation characteristics of annual Tmean (mean temperature), the impact of meteorological factors on Tmean, and the impact of Tmean increase on grain production in northeast China. This study found that annual Tmean decreased from southeast to northwest in Northeast China, and there were regional differences in spatial distribution. The annual Tmean isoline in Northeast China moves obviously from southeast to northwest. The annual warming trend of Tmean was significant from 1971 to 2000, and moderated from 2001 to 2020. In recent 50 years, Tmean had obvious periodic changes. In the mid-late 1980s, annual Tmean had a sudden warming change, and since then it has been rising continuously. Sunshine hours, average wind speed, evaporation and average air pressure had a very significant correlation with Tmean. In conclusion, the climate change in northeast China in the past 50 years has an obvious warming and drying trend, and there are regional differences in the warming and drying. The warming and drying climate has brought challenges to agricultural production and food security in Northeast China. However, the negative effects of grain production reduction caused by warming and drying climate can be avoided to a certain extent if we deal with it properly.
UV-Curing of Novel Tri-functional Melamine-phosphate Oligomer: An Effect of Coating With Polyurethane Acrylate Towards Mechanical, Thermal And Flame Retardant Properties
Authors: Mali Pundalik , Sonawane Narendra , Pawar Nilesh , Patil Vikas 
Published: December 2021

Abstract
A novel melamine-phosphate trifunctional acrylate MPTO) was successfully synthesized via simple cyclization of hexamethylolmelamine (HMM) with phosphorous oxychloride (POCl3) followed by addition reaction of hydroxyethylmethacrylate (HEMA). The molecular structure of MPTO was identified by FTIR and 1H-NMR, 13C-NMR, and GC-MS spectra. The synthesized MPTO oligomer was impregnated with polyurethane acrylate to make the various formulation of UV-cured coatings. The polyurethanes-MPTO oligomers were coated on wood and galvanized steel panels. The properties of UV-cured PU-MPTO were studied by differential scanning calorimeter (DSC), while their crystallinity by X-ray diffraction analysis (XRD). The thermo-gravimetric analysis (TGA) exhibited a high char yield of 18.4% at 800 °C. Moreover, coating films show prominent flame retardancy with UL-94 V-0 rating and maximum limiting index value (LOI) values of 34.8%, which are much higher than the common polyurethane coatings. The polyurethane coatings cured with MPTO exhibited excellent mechanical properties were estimated various tests such as adhesion, pencil hardness, solvent resistance, flexibility, and corrosion test. The coating performance revealed that MPTO improves the mechanical, thermal, and flame retardant properties because their unique structure contains melamine-phosphate moiety and long aliphatic chains of an acrylate ester. These high-performance melamine-based UV-curable coatings are promising for extensive applications.
Solar Energy as Renewable Energy for the Degradation of Pollutants using High Active Ag@TiO2/α-Fe2O3 Ternary Nanocomposite Photocatalyst
Authors: Saber Nesrine Ben 
Published: December 2021

Abstract
In this work, ternary Ag@TiO2/α-Fe2O3 nanocomposite were synthesized via solvothermal chemical reduction method using N,N-dimethylformamide (DMF) as solvent and reducing agent. The chemical procedure involves the use of only metals precursors without the need to use any other surfactants or capping agents. Physicochemical properties of the designed photocatalyst are found by means of various modern techniques. XRD data confirmed the high crystallinity of the obtained ternary nanocomposite. On the other hand, using TEM and HRTEM instruments, the shape and morphology of the Ag@TiO2/α-Fe2O3 nanocomposite were found to be spherical with an average particle size of 150 nm. The UV-Vis measurement shows that Ag@TiO2/α-Fe2O3 as photocatalyst exhibited good photo response in the visible region. The effect of preparation method and the performance of the designed photocatalyst were evaluated by photodegradation measurements of MB under visible light irradiation. We observed that the combination of metallic silver nanoparticles (AgNPs) and hematite iron oxide (α-Fe2O3) with titanium dioxide (TiO2) enhance the photocatalytic activity of the ternary Ag@TiO2/α-Fe2O3 photocatalyst compared to bare TiO2 suggesting its potential for many purification applications.
Vaccination as an Alternative to Non-Drug Interventions to Prevent Local Resurgence of COVID-19
Authors: Pan Jinhua , Zhu Wenlong , Tian Jie , Liu Zhixi , Xu Ao , Yao Ye , Wang Wei-bing 
Published: December 2021

Abstract
Background
While a COVID-19 vaccine protects people from serious illness and death, it remains concern when and how to relax from the high cost strict non-pharmaceutical interventions (NPIs).
Methods
We developed a stochastic calculus model to identify the level of vaccine coverage that would allow safe relaxation of NPIs, and the vaccination strategies that can best achieve this level of coverage. We applied Monto Carlo simulations more than 10,000 times to remove random fluctuation effects and obtain fitted/predicted epidemic curve based on various parameters with 95% confidence interval (95% CI) at each time point.
Results
We found that a vaccination coverage of 50.42% was needed for the safe relaxation of NPIs, if the vaccine effectiveness was 79.34%. However, with the increasing of variants transmissibility and the decline of vaccine effectiveness for variants, the threshold for lifting NPIs would be higher. We estimated that more than 8 months were needed to achieve the vaccine coverage threshold in the combination of accelerated vaccination strategy and key groups firstly strategy.
Conclusion
If there are sufficient doses of vaccine then an accelerated vaccination strategy should be used, and if vaccine supply is insufficient then high-risk groups should be targeted for vaccination first. Sensitivity analyses results shown that the higher the transmission rate of the virus and the lower annual vaccine supply, the more difficult the epidemic could be under control. In conclusion, as vaccine coverage improves, the NPIs can be gradually relaxed. Until that threshold is reached, however, strict NPIs are still needed to contain the epidemic. The more transmissible SARS-CoV-2 variant lead to higher resurgence probability, which indicates the importance of accelerated vaccination and achieving the vaccine coverage earlier.
Trial registration
We did not involve clinical trial.
Prediction of Software Defect Using Ensemble Learning Based Improved Sparrow Search Algorithm To Optimize Extreme Learning Machine
Authors: Tang Yu , Dai Qi , Yang Mengyuan , Chen Lifang 
Published: December 2021

Abstract
For the traditional ensemble learning algorithm of software defect prediction, the base predictor exists the problem that too many parameters are difficult to optimize, resulting in the optimized performance of the model unable to be obtained. An ensemble learning algorithm for software defect prediction that is proposed by using the improved sparrow search algorithm to optimize the extreme learning machine, which divided into three parts. Firstly, the improved sparrow search algorithm (ISSA) is proposed to improve the optimization ability and convergence speed, and the performance of the improved sparrow search algorithm is tested by using eight benchmark test functions. Secondly, ISSA is used to optimize extreme learning machine (ISSA-ELM) to improve the prediction ability. Finally, the optimized ensemble learning algorithm (ISSA-ELM-Bagging) is presented in the Bagging algorithm which improve the prediction performance of ELM in software defect datasets. Experiments are carried out in six groups of software defect datasets. The experimental results show that ISSA-ELM-Bagging ensemble learning algorithm is significantly better than the other four comparison algorithms under the six evaluation indexes of Precision, Recall, F-measure, MCC, Accuracy and G-mean, which has better stability and generalization ability.
Contactless Medical Equipment AI Big Data Risk Control and Quasi Thinking Iterative Planning
Authors: rongrong zhu 
Published: December 2021

Abstract
Contactless medical equipment AI big data risk control and quasi thinking iterative planning，The tanh equilibrium state of heavy core clustering based on hierarchical fuzzy clustering system based on differential incremental equilibrium theory is adopted. Successfully control the parameter group of CT / MR machine internal data, big data AI mathematical model risk. The polar graph of high-dimensional heavy core clustering processing data is regular and scientific. Compared with the discrete characteristics of the polar graph of the original data. So as to correctly detect and control the dynamic change process of CT / MR in the whole life cycle. It provides help for the predictive maintenance of early pre inspection and orderly maintenance of the medical system. It also puts forward and designs the big data depth statistics of AI risk control medical equipment, and establishes the standardized model software. Scientifically evaluated the exposure time and heat capacity MHU% of CT tubes, as well as the internal law of MR (nuclear magnetic resonance ), and processed big data twice and three times in heavy nuclear clustering. After optimizing the algorithm, hundreds of thousands of nonlinear random vibrations are carried out in the operation and maintenance database every second, and at least 30 concurrent operations are formed, which greatly improves and shortens the operation time. Finally, after adding micro vibration quasi thinking iterative planning to the uncertain structure of AI operation, we can successfully obtain the scientific and correct results required by high-dimensional information and images. This kind of AI big data risk control improves the intelligent management ability of medical institutions, establishes the software for predictable maintenance of AI big data, which is cross platform and embedded into the web system.