bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified Shengji Yuhong ointment enhances Wound Healing after Anal Fistula Surgery in Rats
Authors: Mei PingPing , Feng Wenzhe , Shi Peng , Zhuang Yu , Zhang Wenxiu 
Published: September 2022

Abstract
Objective: The wound healing after anal fistula operation is slow, which has become the focus of attention of clinicians. In Chinese medicine, Jiawei Shengji Yuhong Ointment is known as a “magic drug” to promote wound healing. In this study, we mainly discussed the effect and internal mechanism of it on wound repair of rat model after anal fistula operation.
Methods: The wound model of rats after anal fistula operation was established and intervened in different ways. The general situation and wound healing of rats in each group were recorded, and the wound healing rate of rats in each group was calculated. On the 3rd,7th and 14th days, the granulation tissue of the same site was taken from each group of rats for Western blotting and immunohistochemistry to detect the protein and expression of NF-κBp65 in the wound tissue. The expression of IL-1β/VEGF was detected by elisa method. At the same time, HE staining was used to observe the histomorphology.
Results: Compared with other groups, the experimental group and PDTC + experimental group could significantly shorten the wound healing time, and the PDTC + experimental group had the shortest wound healing time, and the difference was statistically significant (P < 0.05). HE staining results confirmed that PDTC + experimental group had the best wound healing; The results of immunohistochemistry and Western blotting confirmed that the experimental group and PDTC+ experimental group could significantly inhibit the expression of NF-κBp65 protein in rat wound tissue, and the difference was statistically significant (P < 0.05). The elisa method showed that the content of IL-1β in each group was gradually decreasing on the 3rd, 7th and 14th days after treatment, and the content of IL-1β in PDTC + experimental group was the lowest (P < 0.05). The content of VEGF in each group was gradually increasing, and the content of VEGF in PDTC + experimental group and experimental group was the highest (P < 0.05).
Conclusion: This study confirmed that modified Shengji Yuhong ointment could promote endothelial cell regeneration and reducing inflammatory response, revealing the increase in wound healing activity after anal fistula surgery.
Research on the Establishment of NDVI Long-term Data Set Based on a Novel Method
Authors: Fan Dongliang 
Published: September 2022

Abstract
This study compares the relationship between the NDVI of AVHRR, the NDVI of MODIS, and the NDVI of VIRR, and found that there is a significant correlation between the NDVI of AVHRR and the NDVI of MODIS, and between the NDVI of VIRR and the NDVI of AVHRR, the relationship between the three is VIRR/NDVI < AVHRR/NDVI < MODIS/NDVI. Machine learning is an important method in artificial intelligence. It can solve some complex problems through algorithms. This research uses machine learning algorithms to construct the Fengyun Satellite Normalized Vegetation Index correction method. By constructing a machine learning model, the NDVI value of Fengyun Satellite VIRR is corrected to a level that is basically the same as the NDVI value of MODIS. The corrected correlation coefficients were significantly improved to 0.9126 ~ 0.9445, and the corrected correlation coefficients were significantly improved to 0.9002 ~ 0.9326, and the confidence levels were all significant correlations less than 0.01. It is proved that the corrected normalized vegetation index of Fengyun Satellite has significantly improved accuracy and product quality compared with the normalized vegetation index of MODIS.
Cognitive Behavioural Therapy to Optimize Post-Operative Fracture Recovery (COPE): Protocol for a Randomized Controlled Trial
Authors: Busse Jason , Sprague Sheila , Investigators COPE 
Published: September 2022

Abstract
Importance: Chronic, non-cancer pain affects approximately 20-30% of the population in North America, Europe, and Australia, with surgery and trauma frequently cited as inciting events. Prospective studies of fracture patients have demonstrated an association between somatic pre-occupation, poor coping, and low recovery expectations following surgery with persistent pain, functional limitations, and lower rates of return to work. Psychological interventions, such as cognitive behavioural therapy (CBT), that are designed to modify unhelpful beliefs and behaviours have the potential to reduce persistent post-surgical pain and its associated effects among trauma patients.
Objective: To determine whether online CBT, versus usual care, reduces the prevalence of moderate to severe persistent post-surgical pain among participants with an open or closed fracture of the appendicular skeleton.
Design, Setting, and Participants: The Cognitive Behavioural Therapy to Optimize Post-Operative Fracture Recovery (COPE) protocol will be followed to conduct a multi-centre randomized controlled trial. Participants undergoing surgical repair of a long bone fracture will be randomized to receive either: (1) online CBT modules with asynchronous therapist feedback or 2) usual care. The primary outcome will be the prevalence of moderate to severe persistent post-surgical pain over 12 months post-fracture. Secondary outcomes include the Short Form-36 Physical and Mental Component Summary scores, return to function, pain severity and pain interference over 12 months post-fracture, and the proportion of patients prescribed opioid class medications (and average dose) at 6- and 12-months post-fracture. The COPE trial will enroll 1,000 participants with open and closed fractures of the appendicular skeleton from approximately 10 hospitals in North America.
Discussion: If CBT is effective in improving outcomes among patients with traumatic fractures, our findings will promote a new model of care that incorporates psychological barriers to recovery.
Trial Registration: ClinicalTrials.gov Identifier: NCT04274530
Functional Performance indicators and kinesiophobia and their relationship with muscle strength, quality of life and fatigue in women breast cancer survivors
Authors: Marques Vitor Alves , Santos Wanderson Divino dos , Silva Maria Sebastiana , Ferreira-Junior João Batista , de Lira Claudio Andre Barbosa , Soares Leonardo Ribeiro , Lima Filipe Dinato , Viana Ricardo Borges , Silva Naiany Pereira , de Freitas-Junior Ruffo , Vieira Carlos 
Published: September 2022

Abstract
Purpose
To relate functional performance and kinesiophobia to muscle strength, fatigue and quality of life in women who survivors breast cancer.
Methods
Participated the study 62 women separate into control group (CNT) (age: 52,16 ± 7,59) and breast cancer survivors group (BCS) (age: 52,93 ± 8,95). The functional performance was evaluated by the DASH, the kinesiophobia it was evaluated by the Tampa Scale, quality of life was evaluated EORTC BR-23, fatigue was evaluated FACT B + 4, the muscle strength was evaluated isometric test bilateral and test 1RM. The normality of the data was evaluated by the Komogorov-Smirnov test. Pearson's correlation was used to evaluate the relationship between the variables that presented normal distribution and the Sperman correlation to evaluate the relationship between the variables that did not present normal distribution. The significance level was considered when the p ≤ 0.05
Results.
The BCS group showed worse levels of functional performance (p < 0,001), bilateral isometric strenght (p < 0,001), test 1RM (p = 0,011) and higher levels kinesiophobia than the CNT group (p = 0,005). Bilateral isometric strenght showed a negative correlation with kinesiophobia (r = 0,295; p = 0,019) and functional performance (r= -0,351; p = 0,005). Functional performance showed negative correlaton with fatigue (r= -0,435; p = 0,0004) and quality of life ( -0,296; p = 0,019).
Conclusion.
BCS women have low levels of functional performance, isometric test bilateral, test 1RM and higher levels of kinesiophobia. The functional performance showed negative correlation with bilateral isometric strenght, fatigue and quality of life. The kinesiophobia showed negative correlation with bilateral isometric strenght.
Low-temperature selective ethanol upgrading to primary or secondary alcohols by homogeneous catalysis
Authors: Ni Zhenwei , Padilla Rosa , Mello Lucas , Nielsen Martin 
Published: September 2022

Abstract
Ethanol is one of the most promising renewable resources for the production of key industrial commodities. Herein, we present the first direct and selective conversion of ethanol to either primary or secondary alcohols, or to hydrocarbons, using ruthenium PNP pincer complexes [(RPNP)RuHXCO] (R= iPr, Ph, Cy, tBu; X = Cl, H-BH3) as catalysts. Using phenyl substituted phosphines leads to the selective produc-tion of secondary alcohols. Hence, employing [(PhPNP)RuH(Cl)CO] (Ru-1) as a catalyst in ethanol, containing 20 mol% of NaOEt, at 115 ⁰C leads to 89% selective production of secondary alcohols over pri-mary alcohols. A yield of 12% of 2-butanol, and in total 22% of secondary alcohols, was achieved. In addition, minor amounts of 2 butenes/butane (≤5%) were observed in the gas phase. On the contrary, when using bulky phosphine substituents, such as t-butyl, the selectivity completely shifts toward primary alcohols. Thus, using [(tBuPNP)RuH(Cl)CO] (Ru 5) leads to >99% selectivity of 1 butanol (13% yield) over secondary alcohols at 115 ⁰C. In fact, the catalytic system is highly competitive for producing 1-butanol with 22% yield obtained at 130 ⁰C, a temperature significantly lower than previously re-ported systems. Our methodology unveils the potential for using bulk bio-alcohols to selectively produce primary or secondary alcohols and hydrocarbons under mild conditions.
Risk prediction of sleep disturbance in clinical nurses: a nomogram and artificial neural network model
Authors: ZHANG Xinyu , ZHANG Lei 
Published: September 2022

Abstract
Background:To develop a Nomogram and a Artificial Neural Network (ANN) model to predict sleep disturbance in clinical nurses.
Methods:A cross-sectional study was conducted from August 2021 to June 2022 ,434 clinical nurses participated in the study and completed questionnaires. They were randomly distributed in a 7:3 ratio between training and validation cohorts.Nomogram and ANN model were developed using predictors of sleep disturbance identified by univariate and multivariate analyses in the training cohort; The 1000 bootstrap resampling and receiver operating characteristic curve (ROC) were used to evaluate the predictive accuracy in the training and validation cohorts.
Results:Sleep disturbance was found in 180 of 304 nurses(59.2%) in the training cohort and 80 of 130 nurses (61.5%) in the validation cohort.Age, chronic diseases, anxiety, depression, burnout, and fatigue were identified as risk factors for sleep disturbance. The calibration curves of the two models are well-fitted. The sensitivity and specificity (95% CI) of the models were calculated, resulting in sensitivity of 83.9%(77.5–88.8%)and 88.8% (79.2–94.4%) and specificity of83.1% (75.0–89.0%) and 74.0% (59.4–84.9%) for the training and validation cohorts, respectively.
Conclusions:The sleep disturbance risk prediction models constructed in this study have good consistency and prediction efficiency, and can effectively predict the occurrence of sleep disturbance in clinical nurses.
Drug-induced liver injury following the use of tocilizumab or sarilumab in patients with coronavirus disease 2019
Authors: Gao Qian , Yin Xuedong , Tan Boyu , Wang Junshi , Chen Jiayan , Yang Qiaoling , Zhao Bin , Li Zhiling 
Published: September 2022

Abstract
Backgrounds
Interleukin-6 (IL-6) blockers including tocilizumab and sarilumab were approved by the U.S. Food and Drug Administration (FDA) in June 2021 for the treatment of patients with moderate to severe COVID-19. The use of sarilumab or tocilizumab in COVID-19 patients has been related to a reduction in mortality compared to standard care. Recent evidence has emerged concerning drug-induced liver injury (DILI) after sarilumab or tocilizumab applications in COVID-19 patients.
Aims
The study aimed to estimate DILI associated with sarilumab or tocilizumab in treating severe to critical patients infected with SARS-Cov-2.
Methods
We conducted a retrospective pharmacovigilance study by data mining of the FDA’s Adverse event reporting systems (FAERS) database from the first quarter of 2004 to the fourth quarter of 2021 in confirmed COVID-19 patients. We analyzed DILI cases associated with tocilizumab or sarilumab in treating COVID-19 patients from the FAERS during this period. Disproportionality analysis and Bayesian analysis of COVID-19 patients were utilized for cases analysis, and we also next compared the onset time and fatality rates of DILI following tocilizumab or sarilumab.
Results
A total of 354 cases of IL-6 blockers-related DILI reports were extracted. A total of 192 AEs cases were related to tocilizumab (TCZ), and 83 were related to sarilumab (SAR). In patients treated with TCZ, most were < 75 years old (51.57%), with more male than female (46.35% vs. 13.02%). The correlation between IL-6 receptor antagonists and DILI was stronger in SAR (ROR = 12.94; 95%CI 9.6-17.44) than in TCZ (ROR = 1.33; 95%CI 1.14–1.55). The onset time of DILI was different between TCZ and SAR, and a significant difference was observed in TCZ than SAR (P < 0.0001). A significant difference was observed in the mortality rate of TCZ and SAR (P = 0.0009). DILI associated with COVID-19 patients treated with TCZ appeared to have earlier onset-time (1(0–46) day) VS. SAR (3.5(0–27) day).
Conclusion
This study shows strict monitor ought to be paid for TCZ or SAR when used for COVID-19 patients with poor liver function.
The Edmonton Classification System for Cancer Pain in Patients with Bone Metastasis: A descriptive cohort study
Authors: Sulistio Merlina , Ling Natalie , Finkelstein Tara , Tee Hoong jiun , Gorelik Alexandra , Kissane David , Michael Natasha 
Published: September 2022

Abstract
Purpose: We describe the prevalence of the Edmonton Classification System for Cancer Pain (ECS-CP) features in patients with bone metastasis and cancer-induced bone pain (CIBP) and the relationship between ECS-CP features, pain intensity and opioid consumption.
Methods: We assessed ECS-CP features and recoded pain mechanisms and opioid use in adult patients with bone metastasis. Validated measures were used to assess pain intensity, incident pain, psychological distress, addictive behavior and cognition.
Results: Among 147 eligible patients, 95.2% completed assessment. Mean participant age was 73.2 years, the majority female (52.1%) with breast cancer occurring most commonly (25.7%). One or more ECS-CP features were present in 96.4% and CIBP in 75.7% of patients. The median average and worst pain scores were 3 and 6, respectively. Neuropathic pain was the most prevalent pain mechanism (45.0%) and associated with breakthrough pain frequency (p=0.014). Three-quarters had incident pain, which was strongly associated with a higher average and worst pain scores (3.5 and 7, p<0.001 for both), background oral morphine equivalent daily dose (26.7mg, p=0.005), and frequency of daily breakthrough analgesia (1.7 doses/day, p=0.007). Psychological distress (n=90, 64.3%) was associated with significantly higher average pain score (4, p=0.009) and slightly higher worst pain score (7, p=0.054). Addictive behaviour and cognitive dysfunction were relatively uncommon (18.6% and 12.9%, respectively).
Conclusion: There is a need to promote standardized assessment and classification of pain syndromes such as CIBP. The ECS-CP may allow us to consider CIBP in a systematic manner and develop personalized pain interventions appropriate to the pain profile.
Trial registration in ANZCTR ACTRN12622000853741 (16/06/2022) retrospectively registered.
Contextual, Maternal, and Infant Factors in Preventable Infant Deaths: a Statewide Cross-sectional Study in Rio Grande Do Sul, Brazil
Authors: Kreutz Ivete Maria , Santos Ina S. 
Published: September 2022

Abstract
Background: Ending preventable deaths of newborns and children under five by 2030 is among the United Nations Sustainable Development Goals. This study aimed to measure infant mortality rate due to preventable causes in Rio Grande do Sul (RS), the Southernmost state in Brazil. With 11,329,605 inhabitants and 141,568 live births in 2017, RS was the fifth most populous state in the country.
Method: A cross-sectional statewide study, with data extracted from records of the Mortality Information System, Death Certificates, and Live Birth Certificates for the year 2017. Preventability was estimated by applying the List of Causes of Deaths Preventable through Intervention of SUS (acronym for Sistema Unico de Saude - Brazilian Unified Health System) Intervention. Rates of preventable infant mortality (PIMR), preventable early neonatal mortality (PENMR), preventable late neonatal mortality (PLNMR), and preventable post-neonatal mortality (PPNMR) per 1000 live births (LB) were quantified. Incidence ratios, according to contextual characteristics (human development index of the health region and of the municipality; Gini index of the municipality), maternal characteristics at the time of delivery (age, education, self-reported skin color, presence of a partner, number of antenatal care consultations, and type of delivery), and characteristics of the child at the time of birth (gestational age, weight, and pregnancy type) were calculated.
Results:In 2017, there were 141,568 live births and 1,425 deaths of infants younger than one year old, of which 1,119 were preventable (PIMR=7.9:1000 LB). The PENMR, PLNMR, and PPNMR were 4.1:1000 LB; 1.5:1000 LB; and 2.3:1000 LB, respectively. More than 60% of deaths in the first week and 57.5% in the late neonatal period could be reduced through adequate care of the woman during pregnancy. The most frequent preventable neonatal causes were related to prematurity, mainly acute respiratory syndrome, and non-specified bacterial septicemia. In the post-neonatal period, 31.8% of deaths could be prevented through adequate diagnostic and treatment.
Conclusions:The strategies needed to reduce preventable infant deaths should preferably focus on preventing prematurity, through adequate care of the woman during pregnancy, and not on its consequences.
The tRNA-degradation pathway impacts the phenotype and metabolome of Arabidopsis thaliana: evidence from atipt2 and atipt9 knockout mutants
Authors: Nguyen Hai Ngoc , Butler Cody , Palberg Daniel , Kisiala Anna B , Emery R.J. Neil 
Published: September 2022

Abstract
Isopentenyltransferases (IPTs), including adenosine phosphate-isopentenyltransferases (ATP/ADP-IPTs and AMP-IPTs) and tRNA‐isopentenyltransferases (tRNA-IPTs), are responsible for a rate-limiting step of cytokinin (CK) biosynthesis. tRNA-IPTs, which account for the synthesis of cis-zeatin (cZ)-type CKs, are less understood and often thought to play a housekeeping role or have low activity during plant growth and development. Here, two Arabidopsis tRNA-IPT knockout mutants, atipt2 and atipt9, with independent disturbance of the pathway leading to cisCKs were investigated at the phenotype and metabolite levels at four stages of plant development: first leaf, inflorescence, siliques, and mature seed. Phenotypic deviations were noted in rosette diameter, number of non-rosette leaves, shoot height, flowering time, flower number, carotenoid content, trichome development, and above-ground fresh mass. Hormone profiling by high-performance liquid chromatography - high resolution tandem mass spectrometry (HPLC-HRMS/MS) showed that the atipt2 mutant accumulates lower total cisCKs in the first leaves and in siliques. The atipt9 mutant showed reduced total cisCKs in first leaves, but, during silique development, it had higher levels of cisCKs in than those of the wild type (WT) plants. Additionally, metabolite detection was performed via an untargeted approach using HPLC-HRMS. A total of 33 significant features differing in abundance between ipt mutants and the WT were putatively identified based on database search. Matched metabolites included those that participate in hormone cross-talk, fatty acid synthesis, seed set and germination, and in stress acclimation. Evidence indicates that cisCK production is important for plant growth and development, in ways distinct from CKs produced from de novo pathway.
Ligand Vacancy Channels in Pillared Inorganic-Organic Hybrids for Electrocatalytic Organic Oxidation with Enzymatic Activities
Authors: Chen Zhe , Li Jili , Meng Lingshen , Li Jianan , Hao Yaming , Jiang Tao , Yang Xuejing , Li Yefei , Liu Zhipan , Gong Ming 
Published: September 2022

AbstractSimultaneously achieving abundant and well-defined active sites with high selectivity has been one of the ultimate goals for heterogeneous catalysis. Herein, we constructed a class of Ni hydroxychloride (NiHC)-based inorganic-organic hybrid electrocatalysts with the inorganic NiHC chains pillared by the bidentate N-N ligands. The precise evacuation of N-N ligands under ultrahigh-vacuum forms ligand vacancies while partially remaining some ligands as structural pillars. The high density of ligand vacancies forms the active vacancy channel with abundant and highly-accessible undercoordinated Ni sites, exhibiting 5–25 fold and 20–400 fold activity enhancement compared to the hybrid pre-catalyst and standard β-Ni(OH)2for the electrochemical oxidation of 27 different organic substrates. The tunable N-N ligand could also tailor the sizes of the vacancy channels to significantly impact on the adsorption configuration for the unprecedented substrate-dependent reactivities on hydroxide/oxide catalysts. This approach bridges heterogenous and homogeneous catalysis for creating efficient and functional catalysis with enzyme-like properties.
Differential Cortical Network Engagement During States of Un/Consciousness
Authors: Zelmann Rina , Paulk Angelique , Tian Fangyun , Balanza Gustavo , Peralta Jaquelin Dezha , Crocker Britni , Cosgrove G Rees , Richardson R. Mark , Williams Ziv , Dougherty Darin , Purdon Patrick , Cash Sydney 
Published: September 2022

Abstract
The neural basis of consciousness remains a major unresolved issue in human neuroscience. To better understand how cortical networks are engaged during different states of consciousness, we utilized multi-region intracranial single-pulse direct electrical stimulation to examine circuit and network interactions during three canonical states of consciousness: wake, sleep, and under propofol-induced general anesthesia. Increased variability in cortical responses, reduced information transfer, and reduced complexity characterized states of diminished consciousness. Notably, however, these metrics differed in different brain regions and types of unconscious states. Anesthesia induced more overall changes in brain responses than sleep. Brain activity changes were largely anatomically uniform during sleep, contrasting with a substantial and selective disconnection of the prefrontal cortices during anesthesia. These results suggest that the obliteration of consciousness during anesthesia results not from just altered overall physiology but from a disconnection between prefrontal areas and other brain areas.