bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness and utility of an electronic intervention for appropriate benzodiazepine and Z-drugs prescription in psychiatric clinics: protocol for a multicentric, real-world randomised controlled trial in China
Authors: Xu Xiaomin , Ye Yujian , Wang Xuyi , Xu Jiajun , Li Chuanwei , Wang Gang , Zhu Youwei , Jiang Haifeng , Zhong Na 
Published: April 2022

IntroductionBenzodiazepine receptor agonists (BZRAs), which include benzodiazepines and Z-drugs, are the most commonly prescribed psychotropic drugs worldwide, and their inappropriate use places a significant burden on public health. Given the widespread use of BZRAs in psychiatric settings, this condition may result from doctors’ improper prescribing. Researchers have developed an electronic intervention system to assist psychiatrists in prescribing BZRAs appropriately. This study aims to determine the efficacy and utility of electronic intervention in reducing improper BZRAs prescriptions in real-world psychiatric outpatient settings.Methods and analysisA multicentre randomised controlled research study will be conducted in real-world settings with licensed psychiatrists with prescription qualifications from five of Chinese most significant regional hospitals that provide high-quality mental healthcare. Participants will be 1:1 randomly assigned to receive a 3-month electronic intervention (11 related information pushing and 3 online lectures) or be placed on a waiting list. The primary outcome is the change in the proportion of inappropriate BZRAs prescriptions between the baseline period (3 months before the intervention) and 3 months after the intervention. Secondary outcomes will be examined at baseline, the third month and the sixth month. The secondary outcomes include psychiatrists’ knowledge and attitudes about appropriate BZRAs prescription, the associated side effects of BZRAs among patients and self-efficacy. To measure the utility, intervention assessment and system utilisation data from the intervention group were collected.Ethics and disseminationThe institutional review board and ethics committees of Shanghai Mental Health Center, Second Xiangya Hospital, West China Hospital, Guangji Hospital and Wuhan Mental Health Center approved the study. After the study is completed, the results will be published in peer-reviewed journals or presented at conferences. If the educational materials are effective, they are available to the general public.Trial registration numberNCT03724669; Pre-results.
Precision medicine for liver tumours with quantitative MRI and whole genome sequencing (Precision1 trial): study protocol for observational cohort study
Authors: Welsh Fenella K , Connell John J , Kelly Matt , Gooding Sarah , Banerjee Rajarshi , Rees Myrddin 
Published: April 2022

IntroductionRadiogenomic analysis of patients being considered for liver resection is seldom performed in the clinic despite recent evidence indicating that quantitative MRI could improve posthepatectomy outcomes. Meanwhile, the increasingly accessible results from whole genome sequencing reporting on clinically actionable genetic biomarkers are yet to be fully integrated into the clinical care pathway.Methods and analysisA prospective observational cohort study of up to 200 participants is planned, recruiting adults with primary or secondary liver cancer being considered for liver resection at Hampshire Hospitals NHS Foundation Trust. The data will be evaluated to address the primary endpoint to calculate the proportion of participants in which the results from whole genome sequencing would have resulted in a change in clinical management. Participants will be offered an additional non-invasive quantitative MRI scan prior to the operation and the impact of the imaging results on treatment decision-making will be evaluated.Ethics and disseminationThis study was reviewed by the NHS Health Research Authority and given favourable opinion by the Brighton and Sussex Research Ethics Committee (REC reference: 20/PR/0222). Research findings will be discussed with a patient and public involvement and engagement group, presented at relevant scientific conferences and published in open access journals.Trial registration numberNCT04597710
Complementary and integrative medicine intervention in front-line COVID-19 clinicians
Authors: Ben-Arye Eran , Gressel Orit , Samuels Noah , Stein Nili , Eden Arieh , Vagedes Jan , Kassem Sameer 
Published: April 2022

ObjectiveTo assess the impact of a multidisciplinary complementary and integrative medicine (CIM) intervention on physical and emotional concerns among front-line COVID-19 healthcare providers (HCPs).MethodsA multimodality CIM treatment intervention was provided by integrative practitioners to HCPs in three isolated COVID-19 departments. HCPs’ two main concerns were scored (from 0 to 6) before and following the CIM intervention using the Measure Yourself Concerns and Wellbeing questionnaire. Postintervention narratives identified reflective narratives specifying emotional and/or spiritual keywords.ResultsOf 181 HCPs undergoing at least one CIM treatment, 119 (65.7%) completed post-treatment questionnaires. While HCPs listing baseline emotional-related concerns benefited from the CIM intervention, those who did not express emotional or spiritual concerns improved even more significantly following the first session, for both leading concerns (p=0.038) and emotional-related concerns (p=0.023). Nevertheless, it was shown that following subsequent treatments HCPs who expressed emotional and spiritual concerns improved more significantly than those who did not for emotional-related concerns (p=0.017).ConclusionsA CIM intervention for front-line HCPs working in isolated COVID-19 departments can significantly impact emotional-related concerns, more so after the first treatment and among HCPs not using emotional-spiritual keywords in post-treatment narratives. Referral of HCPs to CIM programmes for improved well-being should avoid referral bias to those not expressing emotional/spiritual concerns.
Cognitive complaints during breast cancer endocrine therapy: aromatase inhibitors versus tamoxifen
Authors: Abdallah Ichrak Ben , Rachdi Haifa , Mejri Nesrine , Berrazega Yosra , Laabidi Soumaya , Boussen Hamouda 
Published: April 2022

ObjectivePrevious data hypothesise that women receiving aromatase inhibitors (AIs) exhibit worse cognitive functioning than patients on tamoxifen (TAM) since their oestrogen levels are lower. We aimed to compare cognitive complaints in both groups.MethodsFrom September 2020 to January 2021, we conducted a cross-sectional study on patients with stage I–III breast cancer undergoing adjuvant endocrine therapy for at least 6 months. Cognitive complaints were assessed using the Functional Assessment of Cancer Therapy–Cognitive V.3 questionnaire with higher scores indicating better outcomes.ResultsWe included 108 female patients, 60 on AI and 48 on TAM. Mean age at diagnosis was 52 (44 in the TAM group vs 58 in the AI group, p<0.001). Assessment of ‘perceived cognitive impairment-20 subscale’ did not identify a significant difference between the two groups (mean score: patients on AI=63/80 vs patients on TAM=58/80, p=0.198). Patients on TAM scored significantly worse than patients on AI (p<0.001) on the concentration complaints, while for the verbal domain, memory, multitasking, speed and functional interference, no significant difference between the two groups was observed. The difference in concentration complaints was maintained after adjustment to age, educational level, physical activity, prior exposure to chemotherapy, and living alone or with others. Finally, a favourable impact of regular physical activity on concentration scores was observed in both groups (p<0.001).ConclusionDespite age difference, patients on AI did not demonstrate worse complaints than patients on TAM. Patients on TAM exhibited significantly increased concentration complaints. Oncologists should carefully screen their patients for mental fog and educate them on the importance of regular exercise.
Transabdominal lidocaine to induce fetal demise: a cohort study
Authors: Reeves Matthew F , Goldfarb Caroline N , Rubin Stacey Leigh , Kuperstock Jessica L , DiBianco Leah , Picciotto Andrea 
Published: April 2022

IntroductionWe sought to assess the efficacy of transabdominal intrafetal lidocaine to achieve fetal demise before pregnancy termination.MethodsThis study was a retrospective cohort analysis of patients undergoing transabdominal intrafetal lidocaine injections prior to abortion procedures after 24 weeks from January 2018 to June 2020 at DuPont Clinic, an outpatient obstetrics and gynaecology clinic in Washington, DC, USA. We recorded data on maternal factors, gestational age, time of injection and fetal asystole, and injection dose and location. We defined successful intrafetal lidocaine injection as asystole achieved prior to the patient leaving the clinic.ResultsWe performed injections in 338 fetuses in 335 patients, with a median gestational age of 27 weeks and 6 days (range 24–32 weeks). Lidocaine dose was 200–240 mg in 310 cases (91.7%) and 400–480 mg in 27 cases (8.0%) without difference in success (p>0.05). Lidocaine successfully induced fetal demise with one injection in 331 cases (97.9%). A second injection was required to induce demise for five fetuses (1.5%). Intracardiac injection was successful in 280 of 285 cases (98.3%), with asystole confirmed within 1 min in 75% of cases. Intrathoracic injection caused asystole in 45 of 47 cases (95.7%), with asystole confirmed within 2 min in 75% of cases. Success was not significantly associated with gestational age, body mass index or parity (p>0.05). One patient reported lidocaine-related side effects (0.3%).ConclusionsIntrafetal lidocaine is a safe and effective method of inducing fetal demise. Intracardiac injection achieves fetal asystole almost immediately. Intrathoracic injection is also highly effective.
Environmental Key Performance Indicators for Sustainable Evaluation in Automotive Industry: A Focus Group Study
Authors: Chalak Mohammad Hossein , Vosoughi Shahram , Eskafi Fardin , Jafari Ahad , Alimohammadi Iraj , Kanrash Fakhradin Ahmadi 
Published: April 2022

Regarding the significant share of the automotive industry in both producing economic value added and employment, this sector is dominated in the industrial development approach. On the other side, different societies have focussed on the emissions, energy consumption and also waste production of road transportation as important risk threatening environmental health. So, the supply side is highly expected to deal with the expectations of stakeholders relating to sustainability concerns and related risks. To evaluate the implementation of environmental policies in the direction of sustainability and respond to the sustainability and environmental concerns of stakeholders, similar organisations need a uniform framework for performance appraisal. The present study aimed to identify, select and validate the environmental key performance indicators for sustainability assessment of the automotive industry to create a framework for selecting the indicators and using them as a uniform method for better comparison of the performance of car companies in the field of environmental sustainability. In this research, key environmental performance indicators are studied in accordance with sustainability evaluation in the vehicle industry and final indicators introduced using SMARTL criteria. The results showed that 41 indicators included in five categories of waste and waste water, soil contaminators and solid waste, carbon production and energy consumption and management are introduced according to ISO14031 model. Evaluating and monitoring these indicators, defined based on the UN Sustainable Development Goals 2030, can both reflect the quantitative improvement in the environmental performance. Additionally, using SMARTL key environmental performance indicators, the organization is able to comprehensively manage the environmental performance in accordance with environmental and sustainable development goals and policy. Using a uniform method for evaluating and monitoring the environmental performance allows us to compare the environmental performance of similar companies in line with sustainable development policies and creates a competition that allows the organisation to always increase its performance in a positive way.
A Hybrid Approach to Analyze Cybersecurity News Articles by Utilizing Information Extraction & Sentiment Analysis Methods
Authors: Ghasiya Piyush , Okamura Koji 
Published: April 2022

Cybersecurity is becoming indispensable for everyone and everything in the times of the Internet of Things (IoT) revolution. Every aspect of human society — be it political, financial, technological, or cultural — is affected by cyber-attacks or incidents in one way or another. Newspapers are an excellent source that perfectly captures this web of cybersecurity. By implementing various NLP techniques such as tf-idf, word embedding and sentiment analysis (SA) (machine learning method), this research will examine the cybersecurity-related articles from 18 major newspapers (English language online version) from six countries (three newspapers from each country) collected within one year from April 2018 till March 2019. The first objective is to extract the crucial events from each country, which we will achieve by our first step — ‘information extraction.’ The next objective is to find out what kind of sentiments those crucial issues garnered, which we will accomplish from our second step — ‘SA.’ SA of news articles would also help in understanding each ‘nation’s mood’ on critical cybersecurity issues, which can aid decision-makers in charting new policies.
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond
Authors: Liu Hao , Guo Qingyu , Zhu Hengshu , Zhuang Fuzhen , Yang Shenwen , Dou Dejing , Xiong Hui 
Published: April 2022

Data science competitions are becoming increasingly popular for enterprises collecting advanced innovative solutions and allowing contestants to sharpen their data science skills. Most existing studies about data science competitions have a focus on improving task-specific data science techniques, such as algorithm design and parameter tuning. However, little effort has been made to understand the data science competition itself. To this end, in this article, we shed light on the team’s competition performance, and investigate the team’s evolving performance in the crowd-sourcing competitive innovation context. Specifically, we first acquire and construct multi-sourced datasets of various data science competitions, including the KDD Cup 2019 machine learning competition and beyond. Then, we conduct an empirical analysis to identify and quantify a rich set of features that are significantly correlated with teams’ future performances. By leveraging team’s rank as a proxy, we observe “the stronger, the stronger” rule; that is, top-ranked teams tend to keep their advantages and dominate weaker teams for the rest of the competition. Our results also confirm that teams with diversified backgrounds tend to achieve better performances. After that, we formulate the team’s future rank prediction problem and propose the
Multi-Task Representation Learning
(MTRL) framework to model both static features and dynamic features. Extensive experimental results on four real-world data science competitions demonstrate the team’s future performance can be well predicted by using MTRL. Finally, we envision our study will not only help competition organizers to understand the competition in a better way, but also provide strategic implications to contestants, such as guiding the team formation and designing the submission strategy.
Predictive Analysis of Serum NO, PGI2, and Ox-LDL Levels on Disease Progression in Patients with Lacunar Cerebral Infarction
Authors: Tao Xiaoxiao , Qiu Chenfeng , Feng Xuewen , Wang Linlin 
Published: April 2022

Objective. To analyze and predict the progress of patients with lacunar infarction by analyzing the levels of serum NO, PGI2, and Ox-LDL produced by endothelial cells. Methods. 138 patients with lacunar infarction and 34 healthy people were selected. The selected samples were divided into progressive group, nonprogressive group, and control group for biochemical test and endothelial function test. The levels of serum NO, PGI2, and Ox-LDL were obtained. The observation indexes of different groups were compared for statistical analysis and multivariate logistic regression analysis. Results. The indexes of LI patients in the nonprogression group were different from those in the control group. The content of Ox-LDL in the nonprogression group was higher than that in the control group, while the indexes of serum NO and PGI2 were lower than that in the control group. The level of Ox-LDL in LI patients in the progressive group was much higher than that in healthy people in the control group seven days after admission, while the levels of serum NO and PGI2 were lower, and the difference of serum on was more obvious. The level of Ox-LDL in the progressive group was much higher than that in the nonprogressive group, while the levels of serum NO and PGI2 in the progressive group were lower, and the level of serum NO was significantly different from that in the nonprogressive group.

Ox
−
LDL
>
76.48

U
/
L

,

NO
>
55.24

ummol
/
L

, and

PGI
2
>
29.78

ng
/
L

were independent risk factors for the progression of lacunar infarction. Conclusion. Because the patients with lacunar infarction have endothelium-dependent relaxation disorder, the changes of serum NO, PGI2, and Ox-LDL can be used as the evaluation index of the disease progress of patients with lacunar infarction and can be widely used in clinical detection.
Effects of Dietary Lysine Levels on Growth Performance and Glycolipid Metabolism via the AKT/FoxO1 Pathway in Juvenile Largemouth Bass, Micropterus salmoides
Authors: Huang Dongyu , Liang Hualiang , Ge Xianping , Zhu Jian , Li Songlin , Wang Yongli , Ren Mingchun , Chen Xiaoru 
Published: April 2022

A 56-day feeding experiment was conducted to determine the dietary lysine requirement of juvenile largemouth bass (Micropterus salmoides) and investigate the effects of dietary lysine on growth, whole-body composition, and hepatic gene expression related to glycolipid metabolism via the AKT/FoxO1 pathway. The juveniles (

17.34
±
0.02

g) were fed six graded lysine levels (2.11% (control), 2.56%, 2.92%, 3.33%, 3.68%, and 4.09%, dry diet). The results showed that the 3.33% dietary lysine level significantly increased the final body weight (FBW), weight gain rate (WGR), and specific growth rate (SGR) and improved the feed conversion ratio (FCR) compared with the control group. The whole-body composition was not significantly affected by dietary lysine levels, while lowest hepatic lipid contents were found in the 2.92% and 3.33% dietary lysine groups. Regarding glycolipid metabolism, compared with the control group, 3.33% dietary lysine improved the protein kinase B (AKT) and inhibited the forkhead box O1 (FoxO1), thus upregulated the pyruvate kinase (PK) mRNA levels to enhance glycolysis. Furthermore, sterol-regulatory element binding protein-1c (SREBP1c) and peroxisome proliferator-activated receptor-γ (PPAR-γ) were downregulated by 3.33% dietary lysine, which caused the downregulation of lipid synthesis-related genes acetyl-CoA carboxylase-1 (ACC) and stearyl-CoA desaturase (SCD) mRNA. In addition, 3.33% dietary lysine promoted the expression of the lipolysis-related genes peroxisome proliferator-activated receptor-α (PPAR-α) and carnitine palmitoyl transferase-1 (CPT1). According to the quadratic regression analysis based on the FCR and SGR values, the optimal dietary lysine levels were estimated to be 3.03% and 3.07% of the diet (6.39% and 6.48% of dietary protein), respectively.
Tissue-Type Plasminogen Activator-Inhibitor Complex as an Early Predictor of Septic Shock: A Retrospective, Single-Center Study
Authors: Zhong Lincui , Dou Jianlin , Lin Qingwei , He Longping , Zeng Qingbo , Song Jingchun 
Published: April 2022

Background. Sepsis can progress to septic shock and death, and identifying biomarkers of this progression may permit timely intervention to prevent it. This study explored whether levels of tissue-type plasminogen activator-inhibitor complex (t-PAIC) in serum can predict septic shock early. Methods. We retrospectively analyzed 311 sepsis patients who had been admitted to the intensive care unit (ICU) at our tertiary care hospital between May 2018 and April 2021, and we divided them into those who progressed to septic shock (

n
=
203

) or not (

n
=
108

) based on sepsis-3 definition. After matching patients in the two groups based on propensity scoring, we screened for risk factors of septic shock using logistic regression. We assessed potential predictors of such shock based on the area under the receiver-operating characteristic curve (AUC), Kaplan-Meier survival curves, and correlation analysis. Results. After propensity score matching to generate two equal groups of 108 patients, we found that serum t-PAIC was significantly higher in septic shock patients. Uni- and multivariate logistic regression identified t-PAIC as an independent risk factor for septic shock (OR 1.14, 95% CI 1.09–1.19,

P
<
0.001

) and a biomarker that predicted it with an AUC up to 0.875 (95% CI, 0.829-0.920). Based on the optimal cut-off of

t
‐
PAIC
=
17.9

ng
/
mL

, we found that patients at or above this threshold had significantly higher lactate levels and scores on the Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA). Such patients also had significantly worse survival (HR 2.4, 95% CI 1.38–4.34,

P
=
0.004

). Spearman’s correlation coefficients were 0.66 between t-PAIC and lactate, and 0.52 between t-PAIC and SOFA. Conclusions. Serum levels of t-PAIC may be an independent risk factor for septic shock, and they may correlate with the severity of such shock.
T-cell Dysfunction upon Expression of MYC with Altered Phosphorylation at Threonine 58 and Serine 62
Authors: Daniel Colin J. , Pelz Carl , Wang Xiaoyan , Munks Michael W. , Ko Aaron , Murugan Dhaarini , Byers Sarah A. , Juarez Eleonora , Taylor Karyn L. , Fan Guang , Coussens Lisa M. , Link Jason M. , Sears Rosalie C. 
Published: April 2022

Abstract

As a transcription factor that promotes cell growth, proliferation, and apoptosis, c-MYC (MYC) expression in the cell is tightly controlled. Disruption of oncogenic signaling pathways in human cancers can increase MYC protein stability, due to altered phosphorylation ratios at two highly conserved sites, Threonine 58 (T58) and Serine 62 (S62). The T58 to Alanine mutant (T58A) of MYC mimics the stabilized, S62 phosphorylated, and highly oncogenic form of MYC. The S62A mutant is also stabilized, lacks phosphorylation at both Serine 62 and Threonine 58, and has been shown to be nontransforming in vitro. However, several regulatory proteins are reported to associate with MYC lacking phosphorylation at S62 and T58, and the role this form of MYC plays in MYC transcriptional output and in vivo oncogenic function is understudied. We generated conditional c-Myc knock-in mice in which the expression of wild-type MYC (MYCWT), the T58A mutant (MYCT58A), or the S62A mutant (MYCS62A) with or without expression of endogenous Myc is controlled by the T-cell–specific Lck-Cre recombinase. MYCT58A expressing mice developed clonal T-cell lymphomas with 100% penetrance and conditional knock-out of endogenous Myc accelerated this lymphomagenesis. In contrast, MYCS62A mice developed clonal T-cell lymphomas at a much lower penetrance, and the loss of endogenous MYC reduced the penetrance while increasing the appearance of a non-transgene driven B-cell lymphoma with splenomegaly. Together, our study highlights the importance of regulated phosphorylation of MYC at T58 and S62 for T-cell transformation.

Implications:
Dysregulation of phosphorylation at conserved T58 and S62 residues of MYC differentially affects T-cell development and lymphomagenesis.