bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing the clinical outcomes of intense pulsed light for meibomian gland dysfunction
Authors: Chen Chen , Chen Di , Chou Yu-yu , Long Qin 
Published: December 2021

Abstract
To observe the clinical outcomes of intense pulsed light (IPL) for meibomian gland dysfunction (MGD) and identify its influencing factors.
Forty-eight eyes of 48 patients with MGD were included. Subjects were followed up 5 times on day 1, day 15, day 30, day 45, and day 120, and underwent 3 sessions of the IPL treatment on day 1, day 15 and day 30. Gender, age, duration of MGD, time of video display terminal usage, and severity of MGD were recorded at baseline. At every visit, Ocular Surface Disease Index (OSDI), eyelid margin abnormality score, tear film breakup time, Schirmer I test (S ɪ t) and corneal fluorescein staining were recorded. The clinical parameters before and after 3 IPL treatments were compared. Univariate and multivariable logistic regression analyses were performed to explore influencing factors.
Compared with baseline, the tear film breakup time was increased and the corneal fluorescein staining score and OSDI were significantly decreased on day 45 and day 120 (all P < .001). In univariate analysis, among the patients with a younger age (18–39 years), moderate MGD, higher baseline S ɪ t and higher baseline OSDI, the IPL treatment had a higher effective rate (P = .032, .004, .024, and .014 respectively). The MGD severity was strongly associated with effective IPL, and patients with moderate MGD had an OR of 22.454 compared with the severe MGD patients (OR = 22.454, 95% CI: 2.890-174.436, P = .003).
IPL effectively improves clinical symptoms and some signs in MGD patients. Age, MGD severity, baseline S ɪ t and baseline OSDI are potential factors that may influence the clinical outcomes of IPL. MGD severity is an independent influencing factor.
Risk factors for bile duct injury after laparoscopic cholecystectomy
Authors: Dong Chang-Cheng , Jiang Xue-Jun , Shi Xue-Ying , Li Bing , Chen Liang 
Published: December 2021

Abstract

Background:
Bile duct injury (BDI) is one of the serious complications in laparoscopic cholecystectomy (LC), but there is currently a lack of systematic review of risk factors related to BDI after LC. This study conducts meta-analysis on the risk factors related to bile duct injury after LC, the purpose is to provide reference basis for preventing and reducing BDI after LC.

Methods:
Using the Computer to retrieve of Chinese and English databases such as CNKI, WANFANG Data, the VIP Network, PubMed, Embase, the Cochrane Library, etc. The time is from the establishment of each database until August 2021. A case–control study is selected that is related to the risk factors of BDI after LC. This meta-analysis using RevMan 5.4 and State 12.0 software is performed after two researchers independently sift through the literature, extract the data, and evaluate the bias risk included in the study.

Results:
The risk factors related to BDI after LC will be analyzed by systematic review.

Conclusion:
The conclusion of this study will play an important role in reducing BDI after LC.

OSF Registration:
DOI 10.17605/OSF.IO/2B3K9, the registration URL is https://osf.io/2b3k9.
Anesthetic management with remimazolam for a pediatric patient with Duchenne muscular dystrophy
Authors: Horikoshi Yuta , Kuratani Norifumi , Tateno Ken , Hoshijima Hiroshi , Nakamura Tina , Mieda Tsutomu , Doi Katsushi , Nagasaka Hiroshi 
Published: December 2021

Abstract

Rationale:
With Duchenne muscular dystrophy (DMD) being the most common and most severe type of muscular dystrophy, DMD patients are at risk for complications from general anesthesia due to impaired cardiac and respiratory functions as the pathological condition progresses. In recent years, advances in multidisciplinary treatment have improved the prognosis of DMD patients, and the number of patients requiring surgery has increased. Remimazolam is a benzodiazepine derivative similar to midazolam. Its circulatory stability and the fact that it has an antagonist make it superior to propofol.
There are no reports of pediatric patients with DMD undergoing total intravenous anesthesia with remimazolam.

Patient concerns:

A 4-year boy was scheduled for single-incision laparoscopic percutaneous extraperitoneal closure for inguinal hernia under general anesthesia, but the surgery was postponed because his serum creatine phosphokinase level was extremely high.

Diagnosis:
He was diagnosed with DMD. According to the results of the genetic test, exon deletion of the DMD gene was detected using multiplex ligation-dependent probe amplification, although he had no symptoms of DMD except for elevated serum levels of creatine phosphokinase, etc.

Intervention:
He was admitted for the same surgical purpose. Anesthesia was induced with 3 mg of intravenously administered remimazolam. He lost the ability to respond to verbal commands. After the intravenous administration of 100 μg of fentanyl, a continuous infusion of remifentanil (1.0 μg/kg/min) and remimazolam (15 mg/h) was started, and the endotracheal tube was inserted smoothly after the administration of 10 mg of rocuronium with which the muscle twitches disappeared in train-of-four monitoring. At the end of the surgery, 15 mg of flurbiprofen was administered intravenously. After surgery, we injected 40 mg of sugammadex to confirm a train-of-four count of 100%.

Outcomes:
Although the dose of remimazolam was reduced to 5 mg/h 30 minutes before the end of the surgery, it took 20 minutes after the discontinuation of remimazolam for the patient to open his eyes upon verbal command. On postoperative Day 2, he was discharged from the hospital without any complications.

Lessons:
Remimazolam was shown to be safe to use for general anesthesia in a pediatric patient with DMD.
Early anthropometric indicators of type 2 diabetes mellitus
Authors: Bakhtiani Priyanka , Geffner Mitchell E. 
Published: December 2021

Purpose of review
With the rapidly increasing incidence of type 2 diabetes mellitus (T2DM) in youth (as in adults), it is critical to recognize phenotypic markers that can help predict and potentially prevent its onset, and reduce the associated burden of the disease for patients, families, and society. In this review, we summarize the most recent literature characterizing growth, puberty, and body composition in youth at risk for or who have T2DM.

Recent findings
There is an inverse, nonlinear relationship between birth weight and future risk of developing T2DM. Height seems to have an inverse correlation with risk for diabetes. Earlier onset of puberty in males and females is associated with the T2DM phenotype. While adiposity is a known correlate of T2DM, visceral adiposity as represented by waist circumference has emerged as one of the key determinants of T2DM in population-based studies globally. Thresholds for body mass index vary across ethnicities in predicting risk for T2DM, depending on genetic factors and fat-distribution profiles.

Summary
Emerging links between T2DM and dysregulated parameters of growth and development highlight the importance of early recognition of modifiable risk factors and the creation of individualized screening protocols.

Video abstract

http://links.lww.com/COE/A31.
The Role of Mentoring in Promoting Diversity, Equity, and Inclusion in STEM Education and Research
Authors: Marshall Andrea G. , Vue Zer , Palavicino-Maggio Caroline B. , Spencer Elsie C. , Beasley Heather K. , Garza-Lopez Edgar , Conley Zachary , Neikirk Kit , Murray Sandra A. , Martinez Denise , Davis Jamaine , Brady Lillian , Shuler Haysetta D. , Morton Derrick , Hinton Antentor 
Published: December 2021

AbstractMentoring success is derived from active and respectful listening and the willingness to learn and accept opportunities for personal growth. Mentoring shapes every trainee and their career path in science, technology, engineering, and mathematics (STEM). Productive mentoring relationships cultivate rapport, stimulate moments of introspection, and provide constructive feedback. Effective mentoring in STEM allows trainees, especially underrepresented minorities (URMs), to flourish in welcoming and supportive environments. However, URM trainees often experience inadequate mentoring due to their mentor’s inexperience with URM groups, poor mentorship training, or a lack of understanding of their mentee’s journey. To promote diversity, equity, and inclusion in STEM education and research, it is essential for mentors and mentees to work together with creativity, authenticity, and networking. In this workshop, we will focus on mentees’ perspective on how mentors can enhance their training, professional and career development, and improve their focus. We analyzed data on feedback obtained from students interested in pursuing graduate education who attended a recent workshop. Our results show that despite low initial expectations for the workshop, many students were satisfied with the knowledge they learned. The future of increasing the URM representation in STEM lies in providing adequate community support and mentorship throughout the careers of URM professionals.
Polynomial Mendelian Randomization reveals widespread non-linear causal effects in the UK Biobank
Authors: Sulc Jonathan , Sjaarda Jennifer , Kutalik Zoltán 
Published: December 2021

AbstractCausal inference is a critical step in improving our understanding of biological processes and Mendelian randomisation (MR) has emerged as one of the foremost methods to efficiently interrogate diverse hypotheses using large-scale, observational data from biobanks. Although many extensions have been developed to address the three core assumptions of MR-based causal inference (relevance, exclusion restriction, and exchangeability), most approaches implicitly assume that any putative causal effect is linear. Here we propose PolyMR, an MR-based method which provides a polynomial approximation of an (arbitrary) causal function between an exposure and an outcome. We show that this method provides accurate inference of the shape and magnitude of causal functions with greater accuracy than existing methods. We applied this method to data from the UK Biobank, testing for effects between anthropometric traits and continuous health-related phenotypes and found most of these (84%) to have causal effects which deviate significantly from linear. These deviations ranged from slight attenuation at the extremes of the exposure distribution, to large changes in the magnitude of the effect across the range of the exposure (e.g. a 1 kg/m2 change in BMI having stronger effects on glucose levels if the initial BMI was higher), to non-monotonic causal relationships (e.g. the effects of BMI on cholesterol forming an inverted U shape). Finally, we show that the linearity assumption of the causal effect may lead to the misinterpretation of health risks at the individual level or heterogeneous effect estimates when using cohorts with differing average exposure levels.
BrnQ-type Branched-chain Amino Acid Transporters Influence Bacillus anthracis Growth and Virulence
Authors: Dutta Soumita , Corsi Ileana D. , Bier Naomi , Koehler Theresa M. 
Published: December 2021

ABSTRACTBacillus anthracis, the anthrax agent, exhibits robust proliferation in diverse niches of mammalian hosts. Metabolic attributes of B. anthracis that permit rapid growth in multiple mammalian tissues have not been established. We posit that branched-chain amino acid (BCAA: Isoleucine, leucine and valine) metabolism is key to B. anthracis pathogenesis. Increasing evidence indicates relationships between B. anthracis virulence and expression of BCAA-related genes. Expression of some BCAA-related genes is altered during culture in bovine blood in vitro and the bacterium exhibits valine auxotrophy in a blood serum mimic medium. Transcriptome analyses have revealed that the virulence regulator AtxA, that positively affects expression of the anthrax toxin and capsule genes, negatively regulates genes predicted to be associated with BCAA biosynthesis and transport. Here, we show that B. anthracis growth in defined media is severely restricted in the absence of exogenous BCAAs, indicating that BCAA transport is required for optimal growth in vitro. We demonstrate functional redundancy among multiple BrnQ-type BCAA transporters. Three transporters are associated with isoleucine and valine transport, and deletion of one, BrnQ3, attenuates virulence in a murine model for anthrax. Interestingly, an ilvD-null mutant lacking dihydroxy-acid dehydratase, an enzyme essential for BCAAs synthesis, exhibits unperturbed growth when cultured in media containing BCAAs, but is highly attenuated in the murine model. Finally, our data show that BCAAs enhance AtxA activity in a dose-dependent manner, suggesting a model in which BCAAs serve as a signal for virulence gene expression.IMPORTANCEInfection with B. anthracis can result in systemic disease with large numbers of the bacterium in multiple tissues. We found that BCAA synthesis is insufficient for robust growth of B. anthracis; access to branched-chain amino acids (BCAAs) is necessary for proliferation of the pathogen during culture and during infection in a murine model for anthrax. B. anthracis produces an unusually large repertoire of BCAA-related transporters. We identified three isoleucine/valine transporters with partial functional redundancy during culture. Deletion of one of these transporters, BrnQ3, resulted in attenuated virulence. Interestingly, a BCAA biosynthesis mutant grew well in medium containing BCAAs, but like BrnQ3, was attenuated for virulence. These results suggest that BCAAs are limiting in multiple niches during infection and furthers understanding of nutritional requirements of this important pathogen.
Impact of corruption on Chinese investment in African countries
Authors: Yuan Shilin , Chen Haiyang , Zhang Wei 
Published: December 2021

PurposeThis paper aims to examine the impact of host country corruption on foreign direct investment (FDI) from China to developing countries in Africa. With the opposing arguments that corruption is detrimental to or instrumental in FDI and mixed empirical evidence, this paper contributes to the literature by providing new evidence on the issue. Additionally, little research has been done on the impact of corruption on FDI made by developing country multinationals to developing countries. This paper fills a void in this area.Design/methodology/approachBased on the published literature, as well as China and Africa contexts, the authors develop hypotheses that host countries with low corruption receive more FDI and resource-seeking investments weaken the relationship. The annual stock of Chinese FDI in 35 African countries, host country corruption data and other control variables from 2007 to 2015 are collected. Feasible generalized least squares models are used to test the hypotheses. Additional robustness tests are also conducted.FindingsThe findings support the hypotheses. Specifically, Chinese investors make more investments in host countries with low corruption except for resource-seeking investments in resource-rich host counties. The results are statistically significant accounting for various control variables. The results of the robustness tests show that the main findings are robust.Originality/valueFirst, this study provides new evidence on the impact of corruption on FDI. Second, this study also fills a void by examining FDI from a developing country, China to other developing countries in Africa. Finally, this study also has a practical implication for Chinese multinationals investing in Africa.
A review on optimization of antenna array by evolutionary optimization techniques
Authors: Devisasi Kala D.D. , Sundari D. Thiripura 
Published: December 2021

PurposeOptimization involves changing the input parameters of a process that is experimented with different conditions to obtain the maximum or minimum result. Increasing interest is shown by antenna researchers in finding the optimum solution for designing complex antenna arrays which are possible by optimization techniques.Design/methodology/approachDesign of antenna array is a significant electro-magnetic problem of optimization in the current era. The philosophy of optimization is to find the best solution among several available alternatives. In an antenna array, energy is wasted due to side lobe levels which can be reduced by various optimization techniques. Currently, developing optimization techniques applicable for various types of antenna arrays is focused on by researchers.FindingsIn the paper, different optimization algorithms for reducing the side lobe level of the antenna array are presented. Specifically, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), cuckoo search algorithm (CSA), invasive weed optimization (IWO), whale optimization algorithm (WOA), fruitfly optimization algorithm (FOA), firefly algorithm (FA), cat swarm optimization (CSO), dragonfly algorithm (DA), enhanced firefly algorithm (EFA) and bat flower pollinator (BFP) are the most popular optimization techniques. Various metrics such as gain enhancement, reduction of side lobe, speed of convergence and the directivity of these algorithms are discussed. Faster convergence is provided by the GA which is used for genetic operator randomization. GA provides improved efficiency of computation with the extreme optimal result as well as outperforming other algorithms of optimization in finding the best solution.Originality/valueThe originality of the paper includes a study that reveals the usage of the different antennas and their importance in various applications.
The impact of customer-centric business strategies on customer relationship management: pharmaceutical field-force perspective
Authors: Azeem Muhammad , Aziz Sania , Shahid Jawad , Hayat Aamir , Ahmed Munir , Khan Muhammad Imran 
Published: December 2021

Purpose
In a modern business scenario, firms have implemented customer-centric approaches to enable customer relationship management (CRM) to trigger business excellence. Business strategies are modernizing business marketing operations that mainly focused on the retention of profitable customers. The purpose of this study is to empirically investigate the impact of marketing strategies (MS), information technology support (IT-S) and knowledge sharing (KS) in the effect of CRM in the pharmaceutical sector of Punjab, Pakistan.

Design/methodology/approach
Data were collected from the field force of national and international pharmaceuticals companies (N = 263) through a convenience sampling technique. Partial least squares structural equation modeling was used to examine data in SmartPLS 3.2.6.

Findings
The results indicated that IT-S and KS mediate the relationship between MS and CRM. More specifically, MS positively develops CRM through IT-S and KS.

Originality/value
This research contributes to the existing literature of pharmaceuticals by disclosing the field-force (medical representatives) specific role in developing CRM performance between pharmaceuticals firms and health-care physicians that are mainly based on knowledge advancement and influence these firms to adopt customer-centric business approaches to gain a competitive advantage to drive firm profitability.
On extreme value theory in the presence of technical trend: pre and post Covid-19 analysis of cryptocurrency markets
Authors: Thazhungal Govindan Nair Saji 
Published: December 2021

Purpose
Research on price extremes and overreactions as potential violations of market efficiency has a long tradition in investment literature. Arguably, very few studies to date have addressed this issue in cryptocurrencies trading. The purpose of this paper is to consider the extreme value modelling for forecasting COVID-19 effects on cryptocoin markets. Additionally, this paper examines the importance of technical trading indicators in predicting the extreme price behaviour of cryptocurrencies.

Design/methodology/approach
This paper decomposes the daily-time series returns of four cryptocurrency returns into potential maximum gains (PMGs) and potential maximum losses (PMLs) at first and then tests their lead–lag relations under an econometric framework. This paper also investigates the non-random properties of cryptocoins by computing the incremental explanatory power of PML–PMG modelling with technical trading indicators controlled. Besides, this paper executes an event study to identify significant changes caused by COVID-19-related events, which is capable of analysing the cryptocoin market overreactions.

Findings
The findings of this paper produce the evidence of both market overreactions and trend persistence in the potential gains and losses from coins trading. Extreme price behaviour explains volatility and price trends in crypto markets before and after the outbreak of a pandemic that substantiate the non-random walk behaviour of crypto returns. The presence of technical trading indicators as control variables in the extreme value regressions significantly improves the predictive power of models. COVID-19 crisis affects the market efficiency of cryptocurrencies that improves the usefulness of extreme value predictions with technical analysis.

Research limitations/implications
This paper strongly supports for the robustness of technical trading strategies in cryptocurrency markets. However, the “beast is moving quick” and uncertainty as to the new normalcy about the post-COVID-19 world puts constraint on making best predictions.

Practical implications
The paper contributes substantially to our understanding of the pricing efficiency of cryptocurrency markets after the COVID-19 outbreak. The findings of continuing return predictability and price volatility during COVID-19 show that profitable investment opportunities for cryptocoin traders are prevailing in pandemic times.

Originality/value
The paper is unique to understand extreme return reversals behaviour of cryptocurrency markets regarding events related to COVID-19 breakout.
The role of innovation ecosystems in Industry 4.0 adoption
Authors: Matt Dominik T. , Molinaro Margherita , Orzes Guido , Pedrini Giulio 
Published: December 2021

PurposeThe purpose of this paper is to identify actions and guidelines for enabling and fostering the Industry 4.0 adoption, as well as to understand the role of three ecosystem actors in these actions (i.e. companies, educational organizations and regional policy makers).Design/methodology/approach52 semi-structured expert interviews in the Tyrol-Veneto cross-border macro-region were carried out and interpreted using the innovation ecosystem concept. In particular, drawing from this latter, six ecosystem building blocks were identified and used to analyze the interviews' content.FindingsThe findings allow not only to build a comprehensive framework for action to support Industry 4.0 adoption, but also to confirm the importance of exploring Industry 4.0 through the lens of the ecosystem concept. Indeed, the authors show that R&D activities should be complemented with interorganizational actions, such as training and networking, and that all ecosystem actors should be involved in the Industry 4.0 adoption.Originality/valueThis is among the few studies that adopt the innovation ecosystem perspective to explore best practices for Industry 4.0 adoption, thus overcoming the weakness of existing papers based on a firm-level perspective. It also complements previous ecosystem-based research on Industry 4.0 by exploring the technology adoption side, rather than the technology provision one, and by considering the adoption of a wide set of technologies.