bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Tongue-Pressure Resistance Training in Poststroke Dysphagia Patients With Oral Motor Dysfunction
Authors: Wang Tingwei , Tai Jiahui , Hu Ruiping , Fan Shunjuan , Li Haozheng , Zhu Yulian , Wu Yi , Wu Junfa 
Published: March 2022

Objectives
The aims of the study were to investigate the effect of tongue-pressure resistance training in poststroke dysphagia patients with oral motor dysfunction and to examine the therapeutic value of tongue-pressure resistance training in the oral and pharyngeal phases.

Design
Patients were divided into an experimental and a control group. Both groups received 30 mins of traditional swallowing rehabilitation treatment every day for 4 wks. In addition, the experimental group received tongue-pressure resistance training for an extra 20 mins/d. Maximum tongue pressure and fiberoptic endoscopic examination of swallowing were assessed before and after treatments.

Results
Compared with the control group, the experimental group showed significant improvement in Functional Communication Measure for swallowing, Oral Motor Function Scale, maximum tongue pressure, Murray Secretion Scale, Rosenbek Penetration–Aspiration Scale, and food residue in pyriform sinuses (P < 0.05). There was no significant difference in food residue in epiglottic vallecula between both groups (P > 0.05).

Conclusions
This study demonstrated that tongue-pressure resistance training is an effective approach to improve the overall swallowing function in patients with oral motor dysfunction. The improvement of oral motor function could facilitate the recovery of pharyngeal motor function. Tongue-pressure resistance training seems to have more clearance of residue in piriform sinus than epiglottic vallecula.
Scalable deep learning algorithm to compute percent pulmonary contusion among patients with rib fractures
Authors: Choi Jeff , Mavrommati Katherine , Li Nancy Yanzhe , Patil Advait , Chen Karen , Hindin David I. , Forrester Joseph D. 
Published: March 2022

BACKGROUND
Pulmonary contusion exists along a spectrum of severity, yet is commonly binarily classified as present or absent. We aimed to develop a deep learning algorithm to automate percent pulmonary contusion computation and exemplify how transfer learning could facilitate large-scale validation. We hypothesized that our deep learning algorithm could automate percent pulmonary contusion computation and that greater percent contusion would be associated with higher odds of adverse inpatient outcomes among patients with rib fractures.

METHODS
We evaluated admission-day chest computed tomography scans of adults 18 years or older admitted to our institution with multiple rib fractures and pulmonary contusions (2010–2020). We adapted a pretrained convolutional neural network that segments three-dimensional lung volumes and segmented contused lung parenchyma, pulmonary blood vessels, and computed percent pulmonary contusion. Exploratory analysis evaluated associations between percent pulmonary contusion (quartiles) and odds of mechanical ventilation, mortality, and prolonged hospital length of stay using multivariable logistic regression. Sensitivity analysis included pulmonary blood vessel volumes during percent contusion computation.

RESULTS
A total of 332 patients met inclusion criteria (median, 5 rib fractures), among whom 28% underwent mechanical ventilation and 6% died. The study population's median (interquartile range) percent pulmonary contusion was 4% (2%–8%). Compared to the lowest quartile of percent pulmonary contusion, each increasing quartile was associated with higher adjusted odds of undergoing mechanical ventilation (odds ratio [OR], 1.5; 95% confidence interval [95% CI], 1.1–2.1) and prolonged hospitalization (OR, 1.6; 95% CI, 1.1–2.2), but not with mortality (OR, 1.1; 95% CI, 0.6–2.0). Findings were similar on sensitivity analysis.

CONCLUSION
We developed a scalable deep learning algorithm to automate percent pulmonary contusion calculating using chest computed tomography scans of adults admitted with rib fractures. Open code sharing and collaborative research are needed to validate our algorithm and exploratory analysis at a large scale. Transfer learning can help harness the full potential of big data and high-performing algorithms to bring precision medicine to the bedside.

LEVEL OF EVIDENCE
Prognostic and epidemiological, Level III.
Asymptotic stability of quasi-periodic orbits
Authors: Breunung Thomas 
Published: March 2022

Stability is one of the most fundamental properties of solutions to differential equations and, for example, can explain the presence of harmful vibrations. While the stability type of fixed points and periodic orbits can be assessed with standard tools, no general and reliable method allows to conclude about the stability of quasi-periodic orbits. Here, we overcome this limitation and develop a novel and universal method to rigorously assess the asymptotic stability of quasi-periodic solutions to differential equations. Furthermore, we develop an automated algorithm for such stability investigations and demonstrate its applicability on two explicit mechanical examples.
Burden of PCR-Confirmed SARS-CoV-2 Reinfection in the U.S. Veterans Administration, March 2020 – January 2022
Authors:   VA COVID-19 Observational Research Collaboratory
Published: March 2022

AbstractAn essential precondition for successful “herd immunity” strategies for the control of SARS-CoV-2 is that reinfection with the virus be relatively rare. Some infection control, prioritization, and testing strategies for SARS-CoV-2 were designed on the premise of rare re-infection. The U.S. Veterans Health Administration (VHA) includes 171 medical centers and 1,112 outpatient sites of care, with widespread SARS-CoV-2 test availability. We used the VHA’s unified, longitudinal electronic health record to measure the frequency of re-infection with SARS-CoV-2 at least 90 days after initial diagnosisWe identified 308,051 initial cases of SARS-CoV-2 infection diagnosed in VHA between March 2020 and January 2022; 58,456 (19.0%) were associated with VHA hospitalizations. A second PCR-positive test occurred in 9,203 patients in VA at least 90-days after their first positive test in VHA; 1,562 (17.0%) were associated with VHA hospitalizations. An additional 189 cases were identified as PCR-positive a third time at least 90-days after their second PCR-positive infection in VHA; 49 (25.9%) were associated with VHA hospitalizations.The absolute number of re-infections increased from less than 500 per month through November 2021, to over 4,000 per month in January 2022.
Frequency of preclinical Alzheimer’s disease in Japanese clinical study settings: a meta-analysis
Authors: Sato Kenichiro , Niimi Yoshiki , Ihara Ryoko , Suzuki Kazushi , Iwata Atsushi , Iwatsubo Takeshi 
Published: March 2022

AbstractBackgroundMany of earlier studies reporting the frequency of preclinical Alzheimer’s disease (AD) among cognitive normal (CN) individuals have based on the clinical study cohort from Western countries, and it has not been validated whether the frequency of preclinical AD in Asian country cohort may differ from that in Western countries.MethodsWe conducted meta-analysis of earlier literature and original data of 4 Japanese cohort study (i.e., AMED-Preclinical, Brain/Minds Aging Imaging Study, J-ADNI, and A4 study screening conducted in Japan), among which we incorporated cognitive normal (CDR = 0) clinical study participants who were examined their amyloid status by amyloid-PET or CSF.ResultsIn total, among the reviewed 658 Japanese CN participants from 10 different groups, 103 turned out to be amyloid positive, and the estimated overall frequency of preclinical AD (of any stage) was 17.2% (95% CI: 12.0 – 23.0%) with a high statistical heterogeneity of I2 = 64%. In meta-regression, being the Japanese cohort was barely significantly associated with the lower frequency of preclinical AD (p = 0.048).ConclusionsOur study suggested that currently there is no robust evidence to support the lower frequency of preclinical AD in clinical study settings of Japan than that of Western countries.
PRMT5 as a Novel Druggable Vulnerability for EWSR1-ATF1-driven Clear Cell Sarcoma
Authors: Li Bingbing X. , David Larry L. , Davis Lara E. , Xiao Xiangshu 
Published: March 2022

AbstractClear cell sarcoma of soft tissue (CCSST) is an ultra-rare sarcoma with poor prognosis presently with no cure. It is characterized by a balanced t(12;22) (q13;q12) chromosomal translocation, resulting in a fusion of the Ewing’s sarcoma gene EWSR1 with activating transcription factor 1 (ATF1) to give an oncogene EWSR1-ATF1. Unlike normal ATF1, whose transcription activity is dependent on phosphorylation, EWSR1-ATF1 is constitutively active to drive ATF1-dependent gene transcription to cause tumorigenesis. No EWSR1-ATF1-targeted therapies have been identified due to the challenges in targeting intracellular transcription factors. To identify potential druggable targets for CCSST, we show that protein arginine methyltransferase 5 (PRMT5) is a novel enzyme in enhancing EWSR1-ATF1-mediated gene transcription to sustain CCSST cell proliferation. Genetic silencing of PRMT5 in CCSST cells resulted in severely impaired cell proliferation and EWSR1-ATF1-driven transcription. Furthermore, the clinical-stage PRMT5 inhibitor JNJ-64619178 potently and efficaciously inhibited CCSST cell growth in vitro and in vivo. These results provide new insights into PRMT5 as a transcription regulator and warrant JNJ-64619178 for further clinical development to treat CCSST patients.
Influencing factors of polarization coefficient of hollow fiber membrane
Authors: Zhang Ruihua , Liu Weihua 
Published: March 2022

Purpose
The purpose of this study is to improve the performance of hollow fiber membrane and improve the separation efficiency.

Design/methodology/approach
By establishing a mathematical model of hollow fiber membrane gas separation, the influences of parameters such as pressure difference between the inside and outside of the filament, initial oxygen concentration of intake air, intake air flow rate and back pressure outside the filament on the polarization coefficient were analyzed, so as to explore the degree of influence of operating parameters on the concentration polarization, and put forward a technical scheme to reduce the concentration polarization.

Findings
Factors such as pressure difference between the inside and outside of the filament, initial oxygen concentration of intake air, intake air flow rate and back pressure outside the filament have a certain effect on the polarization coefficient. Among them, the polarization coefficient is positively correlated with pressure difference inside and outside the filament, initial oxygen concentration of intake air and back pressure outside the filament, and is negatively correlated with intake air flow.

Practical implications
Negative pressure suction on the permeation side can be used to increase the membrane permeation flow rate and reduce the concentration polarization.

Originality/value
The influence of concentration polarization on membrane performance is reduced by controlling various factors.
ACAS installation on unmanned aerial vehicles: effectiveness and safety issues
Authors: Tomić Lidija , Čokorilo Olja , Vasov Ljubiša , Stojiljković Branimir 
Published: March 2022

Purpose
The paper aims to investigate the compatibility of manned-aircraft airborne collision avoidance systems (ACAS) for use on unmanned aerial vehicles (UAV).

Design/methodology/approach
The paper uses the Fault Tree method for defining ACAS model adapted for the UAV operations, with the aim of showing the presence of certain factors that configure in such ACAS system, and whose failure can lead to an adverse event – mid-air collision.

Findings
Based on the effectiveness analysis of ACAS solution adapted for the UAV operations, for given inputs, it can be concluded that the probability of ACAS failure is on the order of 10–4, as well as that in the case of autonomous ACAS solution for the UAV, the probability is reduced to 10–5. The most influential factors for the failure of the UAV’s ACAS are as follows: technical implications on the UAV, human factor, sensor error, communication and C2 link issue.

Practical implications
The established model could be used both in the UAV’s ACAS design and application phases, with the aim of assessing the effectiveness of the adopted solution. The model outputs not only highlight the critical points of the system but also provide the basis for defining the Target Level of Safety (TLOS) for the UAV operations.

Originality/value
The developed model can be expected to speed up the design and adoption process of ACAS solutions for the UAVs. Also, the paper presents one of the first attempts to quantify TLOS for the UAV operations in the context of collision avoidance systems.
The effect of environmental pressure changes on the bond strength between zirconia ceramic and adhesive resin cement
Authors: Ozkan Ata Secil , Akay Canan , Ata Nazim 
Published: March 2022

Purpose
The purpose of this study was to investigate the effect of the environmental pressure changes on the bond strength between zirconia ceramics and adhesive resin cement.

Design/methodology/approach
In total, 40 rectangular-shaped zirconium-oxide ceramic specimens were prepared. For surface modification, all zirconia specimens were sandblasted with 50 μm alumina particles. The composite resin discs were bonded to modified zirconia surfaces with resin cement. The specimens were divided into four groups; hyperbaric, hypobaric, hyperbaric + hypobaric and control group. The specimen underwent pressure cycles for 30 days. The shear bond strength test was performed by using the universal testing machine, and failures of the debonded samples were examined with scanning electron microscopy and light microscope.

Findings
No significant difference in bond strength was found between the hyperbaric, hypobaric and control groups after 30 days (p > 0.05). However, there was a significant difference in the hyperbaric + hypobaric group compared to the control group (p = 0.022). Also, the Weibull modulus was highest in control group and lowest in the hyperbaric + hypobaric group.

Originality/value
Barometric changes due to flying followed by diving may have an adverse effect on the retention of zirconia ceramics. Care should be taken in the selection of materials for dental treatment of people who are exposed to environmental pressure changes.
Explaining student loyalty towards using WhatsApp in higher education: an extension of the IS success model
Authors: Iranmanesh Mohammad , Annamalai Nagaletchimee , Kumar Kavigtha Mohan , Foroughi Behzad 
Published: March 2022

Purpose
Recent years have documented the growing interest in using WhatsApp in higher education. However, the determinants of students’ satisfaction and loyalty towards WhatsApp groups have received less attention. This study aims to extend the Delone and McLean information system success model by incorporating social and emotional factors to investigate the drivers of satisfaction.

Design/methodology/approach
Data were collected through questionnaires completed by 308 undergraduate students. The partial least squares technique was used for data analysis.

Findings
The findings reveal that information quality, trust in members and social usefulness play crucial roles in shaping students’ satisfaction and loyalty to WhatsApp groups. System quality has no significant effect on satisfaction. Furthermore, emotional connection negatively moderates the relationship between social usefulness and satisfaction.

Practical implications
The findings of this study will be useful for educators and practitioners seeking to integrate WhatsApp into their pedagogical repertoire. The results demonstrate the importance of considering the social and emotional needs of students in addition to the quality of the information provided.

Originality/value
To the best of the authors’ knowledge, this study is the first attempt to integrate system characteristics, particularly with social and emotional factors. Furthermore, this study extends the literature on WhatsApp use in higher education by testing the drivers of students’ satisfaction and loyalty.
Predicting the determinants of academic conference participation decision-making in the post-pandemic situation: the case of Indonesia
Authors: Kusumawardani Kunthi Afrilinda , Komalasari Farida , Goenadhi Felix 
Published: March 2022

PurposeThis study aims to determine offline academic conference participation decision-making factors in the post-pandemic situation incorporating the safety measure as one of the factors.Design/methodology/approachThis study provides a new model for examining the factors influencing academic conference participation using a quantitative approach. The responses of 110 academicians were collected and statistically evaluated using partial least square structural equation modelling (PLS-SEM).FindingsThe results show that safety measures implemented by the conference organiser lead to trust and result in the decision to participate in the offline conference. Besides, conference factors also play a crucial role in determining the participation of academic conferences.Research limitations/implicationsThe information was gathered from 110 replies, and to gain a more comprehensive understanding of the factors that influence academic conference participation, a bigger sample size would be required.Practical implicationsThe study's findings shed light on the components that affect academicians' decision to attend an offline conference which is critical for conference organisers, hotels and the meetings, incentives, conferences and exhibitions (MICE) business.Originality/valueTo the best of the authors' knowledge, this is the first study that seeks to predict factors influencing academicians to participate in an offline academic conference in a post-pandemic setting by incorporating variables such as safety measures and trust.
Islamic Finance an alternative mode for short term financing – working capital management
Authors: Kayani Umar Nawaz 
Published: March 2022

Purpose
This paper aims to review and compare the conventional and Islamic perspectives of working capital management (WCM) to devise the best option of financing for managing working capital (WC) in South Asia. The paper also aims to help the business world for running its operations more smoothly by devising an alternative source of financing especially during crises such as the global financial crisis 2008 and the COVID-19 pandemic.

Design/methodology/approach
The divergence approach is used for a critical analysis of existing literature to derive the best possible alternative to the conventional system of financing.

Findings
This paper identifies that Islamic financing is an appropriate mode of financing as compared to conventional financing for meeting WC requirements in South Asia. Furthermore, under Islamic financing, the best available alternative way for managing WC needs is the Mudarabah Islamic mode of financing.

Research limitations/implications
This is a theoretical paper and thus does not include empirical results.

Practical implications
This paper provides conventional and Islamic perspectives of WCM. The Islamic banks in South Asia may devise policies to encourage and convenience firms for using Mudarabah mode for meeting their WC needs instead of conventional sources. This paper also identifies that small and medium enterprises may be targeted by Islamic banks in Asian markets for providing funds for their smooth operations especially during a financial crisis when conventional banks refuse to lend. This will help managers to run businesses more efficiently and effectively especially during any kind of financial crisis in the future.

Originality/value
To the best of the author’s knowledge, this is the first study that studies the relationship between WCM and Islamic financing in comparison to conventional financing. Although prior studies identify an alternative to conventional financing as Islamic financing, no one studied while considering the WC as the main variable. This paper informs practitioners and researchers about a “state of the art” Islamic perspective of WCM.
Team emergent states and team effectiveness: the roles of inclusive leadership and knowledge sharing
Authors: Yoo Sangok , Joo Baek-Kyoo (Brian) , Noh Jae Hang 
Published: March 2022

PurposeThe purposes of the study are to examine the relationships between team emergent states (TES) (i.e. compelling direction, team identity and psychological safety) and team effectiveness outcomes (i.e. team performance, team satisfaction and growth experience), and investigate the mediating role of knowledge sharing and the moderating role of inclusive leadership in those relationships.Design/methodology/approachThis study employed hierarchical multiple regression analysis and bootstrap analyses to test the hypotheses by using data from 73 teams in eight South Korean firms.FindingsPsychological safety was found to be a significant TES for team effectiveness outcomes. Knowledge sharing mediated the relationship between TES and team effectiveness. Lastly, inclusive leadership positively moderated (1) team identity-knowledge sharing; (2) psychological safety-knowledge sharing; and (3) team identity-team performance relationships.Practical implicationsThe authors’ findings suggest that managers cultivate a psychologically safe team climate and show inclusiveness to build successful teams. This study also emphasizes the importance of knowledge sharing to turn positive TES into team effectiveness.Originality/valueFrom a comprehensive perspective, the findings show the detailed mechanism in which TES relate to team effectiveness mediated by knowledge sharing. In particular, the authors' endeavor further determines the different roles of inclusive leadership, as a boundary condition, in the mechanism.
Investigation on structural integrity of shape distorted 90° back-to-back pipe bends under in-plane closing bending moment
Authors: Vinothkumar A. , Veerappan AR. , Shanmugam S. 
Published: March 2022

PurposeThe aim of this study is to ensure the structural integrity of 90° back-to-back (B2B) pipe bends by developing a closed-form numerical solution for estimating the collapse load of shape distorted 90° B2B pipe bends using non-linear finite element (FE) analysis.Design/methodology/approachThe collapse behaviour of 90° B2B pipe bends with ovality (Co) and thinning (Ct) has been evaluated by non-linear FE approach. Moment load is applied in the form of in-plane closing moment (IPCM). The current FE approach was evaluated by the numerical solution for the plastic collapse moment of pipe bends, which has been published in the literature. The collapse moments were obtained from the twice elastic slope (TES) method using the moment-rotation curve of every individual model.FindingsThe implication ofCt/Cthon collapse load is found to be highly insignificant in terms of increasing bend radius andCo.Coweakens the geometry, and its effect on the collapse load is substantial. A closed-form numerical solution has been proposed to calculate the collapse load of 90° B2B pipe bend with shape imperfections.Originality/valueThe implications of shape distortion (CoandCt) in the failure analysis (collapse load) of 90° B2B pipe bends has not been investigated and reported.