bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gastrointestinal disturbance and effect of fecal microbiota transplantation in discharged COVID-19 patients
Authors: Liu Fengqiong , Ye Shanliang , Zhu Xin , He Xuesong , Wang Shengzhou , Li Yinbao , Lin Jiang , Wang Jingsu , Lin Yonggan , Ren Xin , Li Yong , Deng Zhaoqun 
Published: February 2021

Abstract
Background
To investigate the potential beneficial effect of fecal microbiota transplantation (FMT) on gastrointestinal symptoms, gut dysbiosis and immune status in discharged COVID-19 patients.

Case presentation
A total of 11 COVID-19 patients were recruited in April, 2020, about one month on average after they were discharged from the hospital. All subjects received FMT for 4 consecutive days by oral capsule administrations with 10 capsules for each day. In total, 5 out of 11 patients reported to be suffered from gastrointestinal symptoms, which were improved after FMT. After FMT, alterations of B cells were observed, which was characterized as decreased naive B cell (P = 0.012) and increased memory B cells (P = 0.001) and non-switched B cells (P = 0.012).The microbial community richness indicated by operational taxonomic units number, observed species and Chao1 estimator was marginally increased after FMT. Gut microbiome composition of discharged COVID-19 patients differed from that of the general population at both phylum and genera level, which was characterized with a lower proportion of Firmicutes (41.0%) and Actinobacteria (4.0%), higher proportion of Bacteroidetes (42.9%) and Proteobacteria (9.2%). FMT can partially restore the gut dysbiosis by increasing the relative abundance of Actinobacteria (15.0%) and reducing Proteobacteria (2.8%) at the phylum level. At the genera level, Bifidobacterium and Faecalibacterium had significantly increased after FMT.

Conclusions
After FMT, altered peripheral lymphocyte subset, restored gut microbiota and alleviated gastrointestinal disorders were observe, suggesting that FMT may serve as a potential therapeutic and rehabilitative intervention for the COVID-19.
Management guidelines for amelogenesis imperfecta: a case report and review of the literature
Authors: Roma M. , Hegde Puneet , Durga Nandhini M. , Hegde Shreya 
Published: February 2021

Abstract
Background
Rehabilitation of the entire dentition with amelogenesis imperfecta (AI) tends to pose a great challenge to the clinician. Most of the cases of amelogenesis imperfecta are reported to be associated with skeletal and dental deformities which results in severe sensitivity of the dental tissues.

Case presentation
This clinical case report marks out the total restoration of the oral condition of a young Indian patient diagnosed with the hypoplastic type of amelogenesis imperfecta. Fixed metal ceramic prosthesis were planned to strengthen the masticatory activity, aesthetics, to banish the dental sensitivity and to build up the general persona of the patient. The patient was followed-up at 6 months, 1 year and 2 years intervals. Functional and esthetic impairment was not visible after the follow up period and the treatment outcome was successful. The entire treatment plan was intended to enhance the functional, esthetic and the masticatory component of the occlusal architecture.

Conclusion
This case report details the presentation, characteristic radiographic findings, and management of a patient with an extremely rare condition of amelogenesis imperfecta.
RETRACTED ARTICLE: MiR-34a inhibitor protects
mesenchymal stem cells from hyperglycaemic injury through the activation of the
SIRT1/FoxO3a autophagy pathway
Authors: Zhang Fengyun , Gao Fei , Wang Kun , Liu Xiaohong , Zhang Zhuoqi 
Published: February 2021

Abstract
Background
Mesenchymal stem cells (MSCs) are favourable treatments for
ischaemic diseases; however, MSCs from diabetic patients are not useful for this
purpose. Recent studies have shown that the expression of miR-34a is
significantly increased in patients with hyperglycaemia; the precise role of
miR-34a in MSCs in diabetes needs to be clarified.

Objective
The aim of this study is to determine the precise role of miR-34a in
MSCs exposed to hyperglycaemia and in recovery heart function after myocardial
infarction (MI) in diabetes mellitus (DM) rats.

Methods
DM rat models were established by high-fat diet combined with
streptozotocin (STZ) injection. MSCs were isolated from the bone marrow of donor
rats. Chronic culture of MSCs under high glucose was used to mimic the DM
micro-environment. The role of miR-34a in regulating cell viability, senescence
and paracrine effects were investigated using a cell counting kit-8 (CCK-8)
assay, senescence-associated β-galactosidase (SA-β-gal) staining and vascular
endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF)
ELISA, respectively. The expression of autophagy- and senescence-associated
proteins in MSCs and silent information regulator 1 (SIRT1) and forkhead box
class O 3a (FoxO3a) were analysed by western blotting. Autophagic bodies were
analysed by transmission electron microscopy (TEM). The MI model was established
by left anterior descending coronary artery (LAD) ligation, and then, the rats
were transplanted with differentially treated MSCs intramuscularly at sites
around the border zone of the infarcted heart. Thereafter, cardiac function in
rats in each group was detected via cardiac ultrasonography at 1 week and
3 weeks after surgery. The infarct size was determined through a
2,3,5-triphenyltetrazolium chloride (TTC) staining assay, while myocardial
fibrosis was assessed by Masson staining.

Results
The results of the current study showed that miR-34a was
significantly increased under chronic hyperglycaemia exposure. Overexpression of
miR-34a was significantly associated with impaired cell viability, exacerbated
senescence and disrupted cell paracrine capacity. Moreover, we found that the
mechanism underlying miR-34a-mediated deterioration of MSCs exposed to high
glucose involved the activation of the SIRT1/FoxO3a autophagy pathway. Further
analysis showed that miR-34a inhibitor-treated MSC transplantation could improve
cardiac function and decrease the scar area in DM rats.

Conclusions
Our study demonstrates for the first time that miR-34a mediates the
deterioration of MSCs’ functions under hyperglycaemia. The underlying mechanism
may involve the SIRT1/FoxO3a autophagy signalling pathway. Thus, inhibition of
miR-34a might have important therapeutic implications in MSC-based therapies for
myocardial infarction in DM patients.
Upregulation of IL-15 in the placenta alters trophoblasts behavior contributing to gestational diabetes mellitus
Authors: Li Jiaqi , Li Yuan , Zhou Xuan , Wei Lijie , Zhang Jingyi , Zhu Shenglan , Zhang Huiting , Gao Xuan , Sharifu Lali Mwamaka , Wang Shaoshuai , Xi Ling , Feng Ling 
Published: February 2021

AbstractBackgroundInterleukin-15 (IL-15), a member of the ‘four α-helix bundle’ cytokine family, has been associated with many inflammatory and metabolic diseases. Abnormal expression of IL-15 has been linked to the occurrence and development of obesity and diabetes. However, there is a paucity of research on the involvement of IL-15 in Gestational Diabetes Mellitus (GDM). This study aims at investigating the role of IL-15 in the pathogenesis of GDM.ResultsIL-15 was consistently expressed in the placenta throughout pregnancy and dynamically changed with pregnancy progress. Trophoblasts have been identified as the major source of IL-15 in the placenta. Expression of IL-15 was significantly increased in the placenta of GDM and in the trophoblasts cultured with high glucose (HG). In our study, expression of IL-15 in the placenta was positively correlated with blood glucose concentration of 75 g Oral Glucose Tolerance Test (OGTT), and was inversely correlated with weight of newborns. Further investigations in vitro showed that exogenous addition of IL-15 promoted trophoblasts proliferation, improved invasion and tube formation ability by activating the JAK/STAT signaling pathway, which be blocked by JAK inhibitors.ConclusionOur results demonstrated that IL-15 expression in the placenta was dynamically changing during pregnancy, and it was upregulated in the placenta of GDM patients. Furthermore, IL-15 altered the biological behavior of trophoblasts through JAK/STAT signaling pathway in vitro, and may contributed to the placental pathology of GDM. Our findings provide a new direction for studying the pathophysiological changes of placenta in GDM.
Predictors of fluid responsiveness in critically ill patients mechanically ventilated at low tidal volumes: systematic review and meta-analysis
Authors: Alvarado Sánchez Jorge Iván , Caicedo Ruiz Juan Daniel , Diaztagle Fernández Juan José , Amaya Zuñiga William Fernando , Ospina-Tascón Gustavo Adolfo , Cruz Martínez Luis Eduardo 
Published: February 2021

Abstract
Introduction
Dynamic predictors of fluid responsiveness have shown good performance in mechanically ventilated patients at tidal volumes (Vt) > 8 mL kg−1. Nevertheless, most critically ill conditions demand lower Vt. We sought to evaluate the operative performance of several predictors of fluid responsiveness at Vt ≤ 8 mL kg−1 by using meta-regression and subgroup analyses.

Methods
A sensitive search was conducted in the Embase and MEDLINE databases. We searched for studies prospectively assessing the operative performance of pulse pressure variation (PPV), stroke volume variation (SVV), end-expiratory occlusion test (EEOT), passive leg raising (PLR), inferior vena cava respiratory variability (Δ-IVC), mini-fluid challenge (m-FC), and tidal volume challenge (VtC), to predict fluid responsiveness in adult patients mechanically ventilated at Vt ≤ 8 ml kg−1, without respiratory effort and arrhythmias, published between 1999 and 2020. Operative performance was assessed using hierarchical and bivariate analyses, while subgroup analysis was used to evaluate variations in their operative performance and sources of heterogeneity. A sensitivity analysis based on the methodological quality of the studies included (QUADAS-2) was also performed.

Results
A total of 33 studies involving 1,352 patients were included for analysis. Areas under the curve (AUC) values for predictors of fluid responsiveness were: for PPV = 0.82, Δ-IVC = 0.86, SVV = 0.90, m-FC = 0.84, PLR = 0.84, EEOT = 0.92, and VtC = 0.92. According to subgroup analyses, variations in methods to measure cardiac output and in turn, to classify patients as responders or non-responders significantly influence the performance of PPV and SVV (p < 0.05). Operative performance of PPV was also significantly affected by the compliance of the respiratory system (p = 0.05), while type of patient (p < 0.01) and thresholds used to determine responsiveness significantly affected the predictability of SVV (p = 0.05). Similarly, volume of fluids infused to determine variation in cardiac output, significantly affected the performance of SVV (p = 0.01) and PLR (p < 0.01). Sensitivity analysis showed no variations in operative performance of PPV (p = 0.39), SVV (p = 0.23) and EEOT (p = 0.15).

Conclusion
Most predictors of fluid responsiveness reliably predict the response of cardiac output to volume expansion in adult patients mechanically ventilated at tidal volumes ≤ 8 ml kg−1. Nevertheless, technical and clinical variables might clearly influence on their operative performance
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
Authors: Conte Alcaraz Javier , Moghaddamnia Sanam , Peissig Jürgen 
Published: February 2021

AbstractReliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are important. Inertial measurement units (IMUs) have been used in a variety of applications and can also provide significant information on gait kinematics. However, the nonlinear mechanism of human locomotion results in moderate estimation accuracy of the gait kinematics and thus joint angles. To develop “digital twins” as a digital counterpart of body lower limb joint angles, three-dimensional gait kinematic data were collected. This work investigates the estimation accuracy of different neural networks in modeling lower body joint angles in the sagittal plane using the kinematic records of a single IMU attached to the foot. The evaluation results based on the root mean square error (RMSE) show that long short-term memory (LSTM) networks deliver superior performance in nonlinear modeling of the lower limb joint angles compared to other machine learning (ML) approaches. Accordingly, deep learning based on the LSTM architecture is a promising approach in modeling of gait kinematics using a single IMU, and thus can reduce the required physical IMUs attached on the subject and improve the practical application of the sensor system.
Optimization algorithm and simulation of supply chain coordination based on cross-border E-commerce network platform
Authors: Wang Deli , Li Wuwei 
Published: February 2021

AbstractWith the rapid development of cross-border e-commerce, the improvement of consumer satisfaction has become the focus of cross-border e-commerce platform optimization. Relying on advanced algorithm technology, it can realize the accurate and efficient matching between massive information and users, which is conducive to improving the user experience. Based on the consideration of consumer satisfaction, this paper constructs a dual channel supply chain composed of cross-border suppliers, cross-border e-commerce enterprises, retailers and consumers and studies the revenue and cost sharing contract of the supply chain under the conditions of centralized decision and decentralized decision. The research shows that cross-border e-commerce enterprises can choose to form revenue and expenditure sharing contracts through online and offline channels, optimize decentralized decision-making, and achieve win–win cooperation among supply chain entities.
A proactive resource allocation method based on adaptive prediction of resource requests in cloud computing
Authors: Chen Jing , Wang Yinglong , Liu Tao 
Published: February 2021

AbstractWith the development of big data and artificial intelligence, cloud resource requests present more complex features, such as being sudden, arriving in batches and being diverse, which cause the resource allocation to lag far behind the resource requests and an unbalanced resource utilization that wastes resources. To solve this issue, this paper proposes a proactive resource allocation method based on the adaptive prediction of the resource requests in cloud computing. Specifically, this method first proposes an adaptive prediction method based on the runs test that improves the prediction accuracy of resource requests, and then, it builds a multiobjective resource allocation optimization model, which alleviates the latency of the resource allocation and balances the utilizations of the different types of resources of a physical machine. Furthermore, a multiobjective evolutionary algorithm, the Nondominated Sorting Genetic Algorithm with the Elite Strategy (NSGA-II), is improved to further reduce the resource allocation time by accelerating the solution speed of the multiobjective optimization model. The experimental results show that this method realizes the balanced utilization between the CPU and memory resources and reduces the resource allocation time by at least 43% (10 threads) compared with the Improved Strength Pareto Evolutionary algorithm (SPEA2) and NSGA-II methods.
Effect of interventions based on regular physical activity on weight management in adolescents: a systematic review and a meta-analysis
Authors: Moeini Babak , Rezapur-Shahkolai Forouzan , Bashirian Saeed , Doosti-Irani Amin , Afshari Maryam , Geravandi Azam 
Published: February 2021

Abstract
Background
Physical inactivity is one of the major risk factors for non-communicable diseases. This systematic review and meta-analysis aimed to assess the effects of educational interventions on promoting regular physical activity in adolescent weight management programs.

Methods
The relevant studies indexed in Embase, Web of Science, Scopus, and ProQuest databases were searched using keywords namely “Physical Activity, Adolescent, Weight Management, Body Mass Index (BMI), Randomized Controlled Trials, and Clinical Trial.” Up to the end of March 2020, two authors independently screened the papers, extracted data, and assessed the methodological quality of the studies using Effective Public Health Practice Project (EPHPP) tool.

Results
Out of 12,944 initial studies, 14 met the inclusion criteria after screening the titles, abstracts, and full texts of the papers. The participants in these studies were aged between 6 and 18 years, and 13 studies included participants from both sexes. Moreover, eight of them were performed as a controlled clinical trial. The overall estimate of the difference showed that the interventions improved weight loss which is a statistically significant finding. The participants in the intervention group had a weight loss of 1.02 kg compared to the control group at a 95% confidence interval (− 4.794–0.222).

Conclusion
Published longitudinal data indicated that physical activity declines over the transition from adolescence to adulthood. Using the results of the study, policy-makers can design educational interventions using educational models and patterns.

Systematic review registration
PROSPERO registration number: CRD42020173869
Obesity and clinical severity in patients with COVID-19: a scoping review protocol
Authors: Costa Marcela Larissa , Souza Carlos Adriano Santos , Silva Ana Caroline Cardoso , Santos Dayane Franciely Conceição , Nonato Edilene Fernandes , Santana Francismayne Batista , dos Santos Dias Giselle , Barreto Jessyca Teles , Costa Laís Santos , Costa Maria Carolina Barros , das Neves Ferreira Tamila , Santana Jeniffer Santos , Mendes-Netto Raquel Simões , do Nascimento Tereza Virgínia Silva Bezerra , Nunes Marco Antônio Prado , de Souza Márcia Ferreira Cândido 
Published: February 2021

Abstract
Background
Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 strain, was first identified in late 2019 in China. The outcomes of patients affected by the virus can worsen, developing acute respiratory failure and other serious complications, especially in older individuals and people with obesity and comorbidities. Thus, obese patients tend to have a more severe course of COVID-19. Thus, this review aims to synthesize the evidence in the literature that associates COVID-19 and the severity of clinical outcomes in infected obese patients.

Methods
This protocol was designed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols Statement. Scientific and gray literature will be systematically selected from PubMed/MEDLINE, Latin American Literature in Health Sciences, Online Scientific Electronic Library, Scopus, ScienceDirect, Web of Science, Embase, and Cochrane. The selection of articles will be limited to studies published in English, Portuguese, and Spanish from December 2019 onwards. The main clinical outcomes will be clinical severity in obese patients with COVID-19 as tachypnea (respiratory rate, ≥ 30 breaths per minute), hypoxemia (oxygen saturation, ≤ 93%), the ratio of the partial pressure of arterial oxygen to fraction of inspired oxygen (< 300), lung infiltrate (> 50% of the lung field involved within 24–48 h), diagnosis of the severe acute respiratory syndrome, need of invasive mechanical ventilation, and mortality. Two reviewers will independently screen all citations, full-text articles, and abstract data. Selection bias will be minimized by excluding studies published before December 2019. Conflicts will be resolved through a third reviewer and consensus-building. Moreover, findings will be reported using narrative synthesis and tabulation of the summaries.

Discussion
Given the need for early detection of the possible implications and treatment for patients with obesity diagnosed with COVID-19, the scoping review will be useful to capture the state of the current literature, identify the gaps, and make recommendations for future research for directing the conduct and optimization of therapies in these patients by the multiprofessional teams.

Systematic review registration
Open Science Framework: https://osf.io/xrkec
Finite-time stability of multiterm fractional nonlinear systems with multistate time delay
Authors: Arthi G. , Brindha N. , Ma Yong-Ki 
Published: February 2021

AbstractThis work is mainly concentrated on finite-time stability of multiterm fractional system for$0 < \alpha _{2} \leq 1 < \alpha _{1} \leq 2$0<α2≤1<α1≤2with multistate time delay. Considering the Caputo derivative and generalized Gronwall inequality, we formulate the novel sufficient conditions such that the multiterm nonlinear fractional system is finite time stable. Further, we extend the result of stability in the finite range of time to the multiterm fractional integro-differential system with multistate time delay for the same order by obtaining some inequality using the Gronwall approach. Finally, from the examples, the advantage of presented scheme can guarantee the stability in the finite range of time of considered systems.
Common fixed point for some generalized contractive mappings in a modular metric space with a graph
Authors: Chaira Karim , Eladraoui Abderrahim , Kabil Mustapha , Kamouss Abdessamad 
Published: February 2021

AbstractIn this paper, we investigate the existence and the uniqueness of a common fixed point of a pair of self-mappings satisfying new contractive type conditions on a modular metric space endowed with a reflexive digraph. An application is given to show the use of our main result.