bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards accurate and reliable resolution of structural variants for clinical diagnosis
Authors: Liu Zhichao , Roberts Ruth , Mercer Timothy R. , Xu Joshua , Sedlazeck Fritz J. , Tong Weida 
Published: March 2022

AbstractStructural variants (SVs) are a major source of human genetic diversity and have been associated with different diseases and phenotypes. The detection of SVs is difficult, and a diverse range of detection methods and data analysis protocols has been developed. This difficulty and diversity make the detection of SVs for clinical applications challenging and requires a framework to ensure accuracy and reproducibility. Here, we discuss current developments in the diagnosis of SVs and propose a roadmap for the accurate and reproducible detection of SVs that includes case studies provided from the FDA-led SEquencing Quality Control Phase II (SEQC-II) and other consortium efforts.
Effect of first dorsal interosseous strengthening on clinical outcomes in patients with thumb osteoarthritis: a study protocol for a randomized controlled clinical trial
Authors: Tossini Natália Barbosa , Pereira Natália Duarte , de Oliveira Gabriela Sardeli , da Silva Serrão Paula Regina Mendes 
Published: March 2022

Abstract
Background
Thumb carpometacarpal osteoarthritis (CMC OA) is characterized by chronic progressive degeneration of the joint cartilage, with high prevalence. Patients present with pain at the base of the thumb, morning stiffness, and muscle weakness, symptoms that affect hand function and therefore interfere in activities and social participation. Movements that involve grip or lateral pinch are the most affected and directly impact independence, self-care, and leisure activities. In the literature consulted, several protocols with exercises for these patients were found. However, most do not compare the same intervention modality and only provide basic methodological information, with no consistent information on training load and load progression. In addition, most protocols only address the strengthening of the abductor and extensor thumb muscles and pinching or grasping exercises. However, some biomechanical and electromyographic studies have demonstrated the important role of the first dorsal interosseous muscles as stabilizers of the thumb carpometacarpal joint.

Methods
This is a randomized, controlled, double-blind, and parallel clinical trial that will include 56 participants, over 40 years old, with radiographic evidence of thumb base osteoarthritis. Participants will be randomly allocated into two groups: control and intervention. The following evaluations will be conducted: the Australian/Canadian Hand Osteoarthritis Index, Canadian Occupational Performance Measure, Nine-Hole Peg Test, grip and pinch strength associated with muscle activation assessment, and Bilateral Upper Limb Function Test at four different times: baseline, session 13, session 18, and follow-up. Treatment will take place over 6 weeks, with reassessments in the fourth and sixth weeks and 3 months after the end of the intervention (follow-up). Qualitative variables will be expressed as frequency and percentage, and quantitative variables as mean and standard deviation. Intergroup comparison of the intervention will be performed by repeated measures ANOVA, considering the effect of the two groups and four assessments, and interactions between them.

Discussion
This study will demonstrate whether the specific strengthening of the first dorsal interosseous muscle has a superior and positive effect on the clinical picture of patients with CMC OA. Additionally, if specific strengthening of the muscle is not superior to the traditional protocol in the literature, it will also be determined whether the two protocols are equivalent in terms of the best clinical picture.

Trial registration
Brazilian Registry of Clinical Trials (ReBEC) RBR-8kgqk4. Prospectively registered on 15 January 2020
Functional predictors of treatment induced diabetic neuropathy (TIND): a prospective pilot study using clinical and neurophysiological functional tests
Authors: Hoffmann Yvonne , Toyka Klaus V. , Blüher Matthias , Classen Joseph , Baum Petra 
Published: March 2022

Abstract
Background
A treatment-induced drop in HbA1c has been suggested to be a risk factor for TIND.

Methods
From 60 included patients with severe diabetes mellitus (HbA1c over 8.5) only 21 patients adhered to the study protocol over 1 year with a battery of autonomic nervous system tests scheduled before and after starting antidiabetic treatment.

Results
In patients with a drop of HbA1c greater than 2 per cent points only some neurophysiologic tests and lab values tended to deteriorate with a trend to improve at later time points along the study. None of these changes were statistically significant, most likely because the study failed to reach the planned number of patients.

Conclusion
Poor adherence to diabetes treatment and to following the study protocol were the assumed obstacles in our patient cohort selected for very high HbA1c levels. In future studies a multi-center trial and case numbers of up to 500 patients may be needed to account for drop outs in the range observed here. Moreover, the number of tests in each patient at each visit may have to be reduced and special educational group sessions are warranted to cope with the limited adherence.
Trial registration Ethic Committee University of Leipzig 439/15-ek. Registered 22 April 2016
Prevalence and molecular characterization of Vibrio cholerae from fruits and salad vegetables sold in Jakarta, Indonesia, using most probable number and PCR
Authors: Budiman Andrea , Kurnia Kevin , Waturangi Diana E. 
Published: March 2022

Abstract
Objective
Cholera is an intestinal infection caused by Vibrio cholerae, it is usually occurs in developing countries that lack of sanitation. In developing country including Indonesia, awareness importance of sanitation is still low. Unfortunately, research related to the detection of V. cholerae from fruit and vegetables in Indonesia is still rare. In this study, MPN method was used to determine the prevalence of V. cholerae followed by single and multiplex PCR to detect virulence genes, including toxR, ctxA, tcpA, hlyA, ace, ompU, and zot.

Results
We found 3 fruits and 2 vegetables positive for toxR gene. Fruit samples which were showed toxR positive found from East Jakarta while for vegetables, it was recovered from West Jakarta and Central Jakarta. Twenty-three isolates were recovered from toxR positive samples. The result of antibiotic resistance analysis showed that 4.35% of the isolates resistant to gentamicin, streptomycin (17.39%), trimethoprim (52.17%), ciprofloxacin (30.43%), ampicillin (13.04%), nalidixic acid (82.61%), and polymyxin B (91.30%). None of these isolates were resistant to kanamycin. Combination of MPN and Multiplex PCR method can be used to detect the prevalence and characterize the virulence properties of V. cholerae.
Nonsurgical management of Fusobacterium necrophorum sternoclavicular septic arthritis: a case report
Authors: Kim SangMin , Kanwar Ruhi , Marshall M. Blair 
Published: March 2022

Abstract
Background
To date, the gold-standard treatment for sternoclavicular septic arthritis has been surgery due to the high failure and complication rates of medical treatment. In particular, presentation of Fusobacterium sternoclavicular septic arthritis has been rarely reported and very sparsely investigated, and only one other case report of septic arthritis caused by this pathogen exists in literature.

Case presentation
We report a case of an otherwise healthy 38-year-old Caucasian woman who presented with sternoclavicular septic arthritis as a complication of Fusobacterium necrophorum mediastinitis. Our patient underwent successful management through nonstandard, conservative treatment of 7 weeks of intravenous piperacillin + tazobactam followed by 6 weeks of oral amoxicillin + clavulanic acid.

Conclusion
We highlight a case of the rare presentation of Fusobacterium necrophorum sternoclavicular septic arthritis that did not require surgical intervention for successful management. Though infection of the sternoclavicular joint is unusual, it continues to be seen in thoracic surgery, and there are increasing numbers of antibiotic-resistant organisms. This case broadens insight into the clinical course and treatment of such conditions. The success of conservative management in this case aligns with the similar nonsurgical course of the one previous report of Fusobacterium sternoclavicular septic arthritis occurrence. Thus, further discussion and thought for reevaluating the current standard practice of surgery for sternoclavicular joint infection is suggested. Our case supports assessing a patient’s overall health, causative organism, and extent of infection in interventional course and taking the feasibility of conservative management into more weighted consideration.
Combination of stem cell therapy and acupuncture to treat ischemic stroke: a prospective review
Authors: Jia Huidong , He Jia , Zhao Lan , Hsu Chia-Chen , Zhao Xiaofeng , Du Yuzheng , Han Lin , Cui Zhanfeng , Shi Xuemin , Ye Hua 
Published: March 2022

AbstractStroke is the second leading cause globally that leads to severe disability and death. Stem cell therapy has been developed over the recent years to treat stroke and diminish the mortality and disability rate of brain injuries. Acupuncture, which can activate endogenous recovery via physical stimuli, has been applied to enhance the recovery and rehabilitation of stroke patients. Attempts have been made to combine stem cell therapy and acupuncture to treat stroke patients and have shown the promising results. This prospective review will look into the possible mechanisms of stem cell therapy and acupuncture and intend to undercover the potential benefit of the combined therapy. It intends to bridge the modern emerging stem cell therapy and traditional acupuncture at cellular and molecular levels and to demonstrate the potential benefit to improve clinical outcomes.
The functional mechanism of bone marrow-derived mesenchymal stem cells in the treatment of animal models with Alzheimer’s disease: crosstalk between autophagy and apoptosis
Authors: Qin Chuan , Bai Lin , Li Yongning , Wang Kewei 
Published: March 2022

AbstractThe transplantation of bone marrow-derived mesenchymal stem cells (BMMSCs) alleviates neuropathology and improves cognitive deficits in animal models with Alzheimer’s disease. However, the underlying mechanism remains undefined. Based on meta-analysis and comprehensive review, high-profile studies support the theory that transplanted BMMSCs activate autophagy, as evidenced by the expression levels of signal molecules such as Beclin-1, Atg5, LC3-II, and mTOR. Functional autophagy mitigates neuronal apoptosis, which is reflected by the alterations of IAPs, Bcl-2, caspase-3, and so forth. Moreover, the transplantation of BMMSCs can decrease aberrant amyloid-beta peptides as well as tau aggregates, inhibit neuroinflammation, and stimulate synaptogenesis. There is a signal crosstalk between autophagy and apoptosis, which may be regulated to produce synergistic effect on the preconditioning of stem cells. Forasmuch, the therapeutic effect of transplanted BMMSCs can be enhanced by autophagy and/or apoptosis modulators.
Design of dynamic resource allocation scheme for real-time traffic in the LTE network
Authors: Mai Yi-Ting , Hu Chih-Chung 
Published: March 2022

AbstractThe 5G wireless technology is recently standardized for meeting intense demand. The Long Term Evolution (LTE) technology provides an easy, time-saving, and low-cost method for deploying a 4G/5G network infrastructure. To support multimedia service and higher bandwidth data delivery, an LTE MAC layer has Quality of Service (QoS) support with several QoS class indicator (QCI) levels. Based on LTE current QCI priority and QoS requirements in UEs, the original Max-Rate scheduler, Proportionally Fair (PF) and Modified Largest Weighted Delay First (M-LWDF) algorithms could not achieve their goal owing to the UE’s dynamic physical capacity with a different Channel Quality Indicator (CQI) at run time. For better QoS service than LTE networks, per UE’s CQI state for each resource block (RB) must be considered simultaneously in LTE MAC layer resource allocation with cross-layer support. As downlink real estimated capacity is dynamic owing to a UE’s periodic CQI reporting, the CQI state in LTE scheduling must be considered. This study proposes a smart and flexible scheme for Enhanced Utilization Resource Allocation (EURA) including three novel mechanisms that can dynamically fit UEs’ CQI states. The simulation results in this study demonstrate that the proposed EURA scheme outperforms the contrast schemes (Max-Rate, EXP/PF and M-LWDF), can save more rare radio capacity, and improve the utilization of radio resource assignment.
Explicit iteration and unbounded solutions for fractional q–difference equations with boundary conditions on an infinite interval
Authors: Boutiara Abdellatif , Benbachir Maamar , Kaabar Mohammed K. A. , Martínez Francisco , Samei Mohammad Esmael , Kaplan Melike 
Published: March 2022

AbstractIn this work, a proposed system of fractional boundary value problems is investigated concerning its unbounded solutions’ existence for a class of nonlinear fractional q-difference equations in the context of the Riemann–Liouville fractional q-derivative on an infinite interval. The system’s solution is formulated with the help of Green’s function. A compactness criterion is established in a special space. All the obtained results of uniqueness and existence are investigated with the help of fixed-point theorems. Some essential examples are illustrated to support our main outcomes.
Integrative metabolomics–flavoromics approach to assess metabolic shifts during ripening of mango (Mangifera indica L.) cultivar Nam Dok Mai Si Thong
Authors: Aung Ye Lin , Lorjaroenphon Yaowapa , Rumpagaporn Pinthip , Sittipod Sichaya , Jirapakkul Wannee , Na Jom Kriskamol 
Published: March 2022

Abstract
Background
Nam Dok Mai Mango (Mangifera indica L.) is considered as one of the famous tropical fruits in Thailand with an attractive taste and fragrance. A rapidly powerful comprehensive technique to investigate the aromatic as well as metabolic compounds is required to follow the ripening stage and identification of biomarkers in mango cv. Nam Dok Mai. To date, only a few omics-based studies have been published on the ripening process of mango. The present study aimed to establish an advanced omics-based approach using integrated metabolomics–flavoromic profiles to follow the ripening process of Nam Dok Mai Si Thong mango fruit.

Results
56 metabolites and 33 flavor volatile components were detected in Nam Dok Mai Si Thong mango. Palmitic acid shown the highest content in lipid fraction of mango pulp (28%) followed by linolenic acid (25%) and linoleic acid (23%) at various ripening stages during ripening. β-Sitosterol (3.9%), campesterol (2.4%), and sitostanol (2.4%) were higher at day 0 of ripening. Glycine and leucine were highest at day 4 of ripening (3.4 and 3.0%, respectively). The highest sucrose level (48.7%) was observed at 8 days of ripening. Ethyl octanoate (6.2–9.5%) and ethyl decanoate (5.4–6.5%) were significantly higher at days 4 to 8 of ripening.

Conclusions
Among 19 biomarkers measured, nine metabolites (palmitic acid, linoleic acid, linolenic acids, β-sitosterol, sucrose, citric acid, malic acid, glycine, and leucine), and 2 flavors (ethyl octanoate and ethyl decanoate) showed a good correlation with ripening-associated changes at days 0 to 8 during ripening. The biomarkers identified in this study could be used to track the ripening stages of Nam Dok Mai Si Thong mango.

Graphical Abstract
The cognitive principles of learning underlying the 5E Model of Instruction
Authors: Ruiz-Martín Héctor , Bybee Rodger W. 
Published: March 2022

AbstractOver 34 years since its conception, research in educational settings has found evidence for the effectiveness of the 5E Instructional Model. Indeed, several studies have reported evidence of a better conceptual understanding of scientific ideas and models, positive effects on general achievement in science, and positive attitudes toward science. In this commentary, we would like to put forward the principles from cognitive sciences on how people learn which may underlie the 5E Model and that could theoretically contribute to the model’s effectiveness as a learning sequence. Connections to conceptual change theory are especially highlighted.
Easier in Practice Than in Theory: Experiences of Coaches in Charge of Community-Based Soccer Training for Men with Prostate cancer—A Descriptive Qualitative Study
Authors: Roed Kickan , Bjerre Eik Dybboe , Midtgaard Julie 
Published: March 2022

Abstract
Background
Evidence suggests that community-based exercise programs and sports participation benefit long-term physical activity adherence and promote health in clinical populations. Recent research shows that community-based soccer can improve mental health and bone health and result in fewer hospital admissions in men with prostate cancer. However, little knowledge exists on what coaches experience, leading to a scarcity of knowledge on how to assist them in promoting and supporting the sustainability of programs. The purpose of this study was to explore the experiences of non-professional soccer coaches in providing community-based soccer training for men with prostate cancer.

Results
We interviewed 13 out of 21 eligible non-professional soccer coaches in charge of delivering the Football Club Prostate Community program, which is community-based soccer training for men with prostate cancer at 12 local soccer clubs across Denmark. Qualitative content analysis, as described by Graneheim and Lundman, was applied to analyze the data using NVivo 12 software. We identified the five following overall categories with 10 subcategories on what the coaches experienced: (1) enabling training of a clinical population in a community setting, (2) dedication based on commitment, (3) coaching on the players’ terms, (4) navigating the illness, and (5) ensuring sustainability. Collectively, the findings suggest that, while the coaches felt adequately prepared to coach, their coaching role developed and was refined only through interaction with the players, indicating that coaching clinical populations may be easier in practice than in theory and a potentially transformative learning experience.

Conclusions
Non-professional soccer coaches in charge of delivering soccer training for men with prostate cancer value being educated about specific illness-related issues. Initial concerns about how to coach a clinical population disappeared once the coaches engaged with the players and developed their own team norms and illness management strategies. They also gained a broader perspective on their own lives, which they valued and would not otherwise have achieved by coaching a healthy population. Our study indicates that sustainable implementation and the program’s sustainability can be promoted and supported through additional formal, easily accessible communication with trained health professionals and by networking with peer coaches.
Did green debt instruments aid diversification during the COVID-19 pandemic?
Authors: Narayan Paresh Kumar , Rizvi Syed Aun R. , Sakti Ali 
Published: March 2022

AbstractFaced with a persistent pandemic, investors are concerned about portfolio diversification. While the literature on COVID-19 has evolved impressively, limited work remains on diversification opportunities. We contribute to the literature by exploring the volatility and co-movement of different sovereign debt instruments, including green sukuk, sukuk, bond and Islamic and conventional equity indices for Indonesia. Our results consistently point towards increased asset co-movement and weak profitability during the pandemic. Interestingly, sukuk and green sukuk have a 14% correlation with stocks, suggesting potential diversification prospects in times of extreme shocks.
Current challenges in different approaches to control COVID-19: a comprehensive review
Authors: Giri Simran , Sen Sanjukta , Singh Rohan , Paul Paramita , Sahu Ranabir , Nandi Gouranga , Dua Tarun Kumar 
Published: March 2022

Abstract
Background
The World Health Organization declared the outbreak of the novel coronavirus (COVID-19) as a global health emergency on January 30, 2020, and as a pandemic disease on March 11, 2020. This review highlights the international situation, risk factors, and related protections to be taken as prerequisite measures and probable treatment options for the COVID-19-infected population in the current scenario.

Main text
The SARS-CoV-2 viruses and their variants caused mild-to-severe respiratory tract infection and used airborne pathways as a way of contagion. Human-to-human transmission led to an exponential growth in the rise in the number of cases making it a real burden to immobilize the rapid spread of the virus while asymptomatic patients created ambiguity for confirmation in the community. It was clear from the case studies of patients that most of them were asymptomatic but still vulnerable to the people around, and hence, in a flash, many countries around the globe went into a complete lockdown, influencing the economy and thrashing industrial outputs. On the other hand, numerous researches were made to counteract the spread through studies in antiviral therapy, immune-based therapy, vaccination development, and natural remedies.

Conclusion
Although exploration for a specific drug required for the COVID-19 treatment is under extensive research worldwide and some of them are in clinical trial now. Virtual drug library screening is one of the current techniques for repurposing accessible compounds. This review could provide beneficial information about the potential current and future treatment strategies to treat the pandemic COVID-19 infection.
Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex Approaches
Authors: Kulm Scott , Kofman Lior , Mezey Jason , Elemento Olivier 
Published: March 2022

PURPOSE The ability to accurately predict an individual's risk for cancer is critical to the implementation of precision prevention measures. Current cancer risk predictions are frequently made with simple models that use a few proven risk factors, such as the Gail model for breast cancer, which are easy to interpret, but may theoretically be less accurate than advanced machine learning (ML) models. METHODS With the UK Biobank, a large prospective study, we developed models that predicted 13 cancer diagnoses within a 10-year time span. ML and linear models fit with all features, linear models fit with 10 features, and externally developed QCancer models, which are available to more than 4,000 general practices, were assessed. RESULTS The average area under the receiver operator curve (AUC) of the linear models (0.722, SE = 0.015) was greater than the average AUC of the ML models (0.720, SE = 0.016) when all 931 features were used. Linear models with only 10 features generated an average AUC of 0.706 (SE 0.015), which was comparable to the complex models using all features and greater than the average AUC of the QCancer models (0.684, SE 0.021). The high performance of the 10-feature linear model may be caused by the consideration of often omitted feature types, including census records and genetic information. CONCLUSION The high performance of the 10-feature linear models indicate that unbiased selection of diverse features, not ML models, may lead to impressively accurate predictions, possibly enabling personalized screening schedules that increase cancer survival.