bluuebunny/crossref_metadata_2025_split huggingface dataset:
Usefulness of Abdominal Massage and ST-36 (Zusanli) Acupressure in Improving The Appetite of COVID-19 Patients Treated in a Makeshift Hospital: A Randomized Controlled Trial
Authors: Wang Lei , Peng Jifang , Liu Hairong , Jia Yan , Yao Cui , Lin Yufan , Yua Hui , Li Fang 
Published: July 2021

Abstract
Objectives: To investigate the appetite of COVID-19 patients treated in a makeshift hospital and to evaluate the effectiveness of abdominal massage and ST-36 (Zusanli) acupressure in improving their appetite.Design: Randomized controlled trial.Methods: This study was performed between February 15 and March 2, 2020, in a sports centre makeshift hospital in Wuhan, China. The appetite of 110 COVID-19 patients was assessed using a mobile app-based Simplified Nutritional Appetite Questionnaire (SNAQ). The experimental and control groups, 55 patients each, were randomized using a prepared randomization checklist. Through video guidance and on-the-spot instruction, patients in the experimental group mastered the methods of abdominal massage and ST-36 (Zusanli) acupressure and implemented the intervention for 7 days by themselves. The appetite of the patients was assessed again after intervention.Results: In a total of 110 participants, 43 (39.1%) patients suffered from a poor appetite. A positive correlation between poor appetite and older age as well as fever was observed (p<0.05). In the experimental group, the SNAQ scores were significantly increased (14.07±2.46 vs 15.55±1.77, p=0.0004), and the proportion of patients with a poor appetite was markedly reduced after the intervention (41.8% vs 10.9%, p=0.0002). Compared with the control group, the rate of poor appetite in the experimental group was significantly decreased postintervention (27.3% vs 10.9%, p=0.029).Conclusion: In COVID-19 patients, a poor appetite may be correlated with older age and fever. Abdominal massage and ST-36 (Zusanli) acupressure are applicable and effective in improving the appetite of COVID-19 patients during isolation treatment.Trial registration: Chinese clinical trial registry (ChiCTR2000033261), the trial was registered retrospectively.
Competitive Sport After Sars-Cov-2 Infection in Children
Authors: Cafiero Giulia , Falminia Passi , Carducci Francesca Ippolita Calò , Federica Gentili , Ugo Giordano , Perri Chiara , Said Melania Hashem , Attilio Turchetta 
Published: July 2021

Abstract
Background

With the gradual resumption of sports activities after the lock-down period, during coronavirus pandemic, a new problem is emerging: allow all athletes to be able to return to compete after SARS-CoV-2 infection in total safety. Several protocols have been proposed for healed athletes but all of them have been formulated for the adult population.
Methods

The aim of the present study is to evaluate the adequacy of Italian practical recommendations for return-to-paly, in order to exclude cardiorespiratory complications due to COVID-19 in children and adolescents. From September 2020 to February 2021, 45 children and adolescents (aged from 9 to 18 years) with previous SARS-CoV-2 infection were evaluated according to the protocols in force for adult.
Results

The data obtained showed that, in the pediatric population, mild coronavirus infection does not cause cardiorespiratory complications in the short and medium term.
Conclusion

Return to play after Coronavirus infection seems to be safe but it will be necessary to continue with the data analysis in order to modulate and optimize the protocols especially in the pediatric field.
WITHDRAWN: SBL Kalman Filter Based Hybrid Precoder/ Combiner for mmWave MIMO Systems: A Frequency Domain Approach
Authors: k Shoukath Ali , Palaniswami Sampath 
Published: July 2021

Abstract
The optimal design of hybrid precoder/ combiner for Millimetre Wave (mmWave) Multiple Input and Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM ) system is developed presented. In the frequency domain approach, Sparse Bayesian Learning - Kalman Filter (SBL-KF) algorithm is used to design the optimal hybrid precoder/ combiner in mmWave MIMO OFDM systems. Sparse signal recovery problem for Single Measurement Vector (SMV) is discussed, that is close to the design of ideal digital baseband precoder by maximizing the mutual information from the hybrid precoder. SBL-KF scheme select the minimum number of active Radio Frequency (RF) chains based on the hyper parameter estimator. The minimum number of RF chain is approximate the ideal digital precoder / combiner design. Proposed SBL-KF scheme achieve low power consumption and enhanced spectral efficiency, when compared to the SBL, Orthogonal Matching Pursuit (OMP), Simultaneous OMP (SOMP) and Least Square schemes, which activate a fixed data streams and fixed number of RF chains.
Geometrical- and Tooth Contact Analysis of the Areas and Perimeters on the Archimedean Worm Wheels Depending on the Modification of the Axial Module
Authors: Bodzás Sándor , Szanyi Gyöngyi 
Published: July 2021

Abstract
With the knowledge of the recommendations from reference literatures - six types of Archimedean worm gear drives were designed with the modification of the axial module. After that computer aided models were generated. These pairs were loaded by the same torque to analyse the mechanical parameters on the tooth contact zone. Due to the geometrical establishment, three teeth are connected with the worm surface at the same time, that is why these teeth are analysed. Polygon method was used to approach the kinematical impression on the worm wheel surface. As a result, we were able to define the area- and perimeter percentages of these impressions on the worm wheel surface for each tooth. We also determined the correlation between the axial module and the analysed mechanical parameters supposing average values on the contact surfaces.
Investigations of the Rockfall Impacts on the Flexible Protective Barriers under Seismic Loading
Authors: Ge Ziwei , Liu Hongyan 
Published: July 2021

Abstract
Rockfall triggered by earthquakes can cause severe infrastructure losses and even fatalities. The flexible protective barrier is an efficient rockfall protection system that has been widely used against rockfall. This studyproposed a novel approach to simulate a field test of rockfall impacting the flexible barrier, and the simulation results showed an excellent match with the field test results. Based on this approach, the seismic loading was applied to the numerical model, and four types of seismic loading were adopted, e.g., non-seismic, x-directional seismic, y-directional seismic, and z-directional seismic. This study aims at investigating the dynamic behavior of the flexible protective barrier under different seismic loading during the rockfall impact process. The following findings can be obtained from the simulation results. First of all, the seismic loading can increase the maximum elongation and decrease the final elongation of the flexible protective barrier comparing to non-seismic loading. Second, the largest deformation area of the protective barrier is at the diagonal position when x-directional seismic loading was applied, which is at the vertical bisector position when y-directional and z-directional seismic loading was applied. Third, the maximum elongation of the protective barrier decreased with the increasing seismic wave period. But in general, the amplitude and period of seismic waves have negligible effects on the elongation, maximum normal stress, and maximum shear stress of the flexible protective barrier.
Attribute based Weighted Mechanism for Community Detection in Social Internet of Things
Authors: Rajendran Subash , R Jebakumar 
Published: July 2021

Abstract
A new paradigm of Internet of Things (IoT) is emerging rapidly by socializing the smarter physical devices called as Social Internet of Things (SIoT). Social relationships established between these objects make them autonomously connected for services, without any human intervention. Since SIoT is a large-scale network with huge data involved, the content spreading behaviour need to be exploited. In order to ensure the growth of the content spread, the large-scale SIoT network is divided into several communities based on the social attributes in this work. We first divided the SIoT network into high quality Sociality based Weighted Communities (SWC). Social attributes like user preferences, social similarities, and mutual friends’ degrees are main metrics for achieving the best rate function. The weighted method based on these social attributes determine the nodes to be present in their respective communities. Also, the controlling of the local community augmentation using cluster concepts is done in our approach. Finally, a Credential Acclaimed Information Spreading (CAIS) mechanism is proposed which selects the best node with the maximum credential to surge the content spreading behaviour in the detected communities of SIoT network. The proposed social-driven attribute based weighted mechanism for community detection is validated using three diverse real-world datasets such as CASAS, MIT and ARAS dataset containing 427 sensors. Investigational outcomes validate that the overall performance of the proposed method overwhelms the conventional community detection algorithms like Louvain, Girvan Newman, Bron Kerbosch, Infomax and the recent state-of-art-approaches interms of spreading outcomes, NMI, modularity, F-measure, precision, recall and computational time.
Sub-6 GHz Band Massive MIMO Antenna System for Variable Deployment Scenarios in 5G Base Stations
Authors: R Darwin , P Sampath 
Published: July 2021

Abstract
A compact massive MIMO antenna system with 1x4 (sector) subarray setup working at sub-6 GHz range for 5G base stations has been planned and broke down in different configurations(rectangular, triangular and hexagonal). The limit of a system can be expanded by more than 10 times whereas the energy efficiency can be expanded 100 times utilizing a Massive MIMO system. A limit of 5 sectors has been utilized with every sector containing 1x4 subarray components. Every sector comprises of three layers, in which 1x4 patches is situated on its top layer though it's taking care of organization and ground plane has been set in the base layer and the centre layer individually. The whole system can work in two modes, singular port activity andmassive MIMO exhibit activity with shaft guiding abilities. The deliberate data transmission of the framework is 140 MHz that covers the frequencies from 3.36 GHz to 3.50 GHz in sub-6 GHz band. The general component of a unit subarray regarding length, width and tallness was 280.5 x 56.1 x 2 mm3. The gain of an individual port is discovered to be 12.95 dBi and the general addition of a single panel with 5 sectors arranged in rectangular structure is 19.73 dBi. Mutual couplingamong all the ports has been kept not exactly - 16 dB. The working frequency of the radio antenna array system is picked in the scope of 3.3 GHz to 3.8 GHz as this band has been assigned and focused across the globe to empower 5G in Sub-6 GHz band.
A 15-Year Trend of Catastrophic Health Payment and its Inequality in China: Evidence from Longitudinal Data
Authors: Xu Yongjian , Zhou Yiting , Pramono Andi 
Published: July 2021

Abstract
Background：The Chinese health care system has gone through two major cycles of reform since the 1980s. This study aims to comprehensively track the trends in the occurrence of catastrophic health payment and its inequality in the past 15 years, which may help better understand the influence of health system reforms on catastrophic health payment and its inequality. Methods：The study employed the subset of data from China Health and Nutrition Survey conducted from 1991 to 2015. Concentration index and decomposition analysis were used to measure the magnitude of income-related inequality in catastrophic health payment and decompose it into determinants respectively. Results: The incidence of catastrophic health expenditure in China increased from 3.10% in 1993 to 8.90% in 2004, and still maintained at a high level in the following years. The incidence gap of catastrophic health payment between the richest and poorest became increasingly wider over year. Moreover, the adjusted concentration indexes were all negative in each year, decreasing from -0.202 in 1991 to -0.613 in 2015. The basic medical insurance didn’t decrease the incidence of catastrophic health payment and showed the second largest contribution on the inequality in catastrophic health payment before 2004. However, this contribution began to decline after 2006. Conclusions: After the New Health Care Reform, although the Chinese government has taken many measures to protect poor households from catastrophic health payment, the incidence gap between the rich and poor has widened. China has nearly achieved universal coverage in recent years, however, the basic medical insurance in China was not enough to protect households from catastrophic health payment. Our study suggests that improving the generosity of existing basic medical insurance, and reforming the medical insurance payment system would be helpful to reduce the incidence of catastrophic health payment. The use of big data tools and techniques to effectively screen the poor households, and strengthening the social medical aid system would be helpful to decrease the pro-rich inequality in catastrophic health payment.
High-dimensional entanglement-enabled holography for quantum encryption
Authors: Kong Ling-Jun , Zhang Furong , Zhang Jingfeng , Sun Yifan , Zhang Xiangdong 
Published: July 2021

Abstract
Cryptography plays an important role in information security, which is widely applied in the various fields of society. Quantum cryptography has shown its great advantages in information security compared with the classical one. Two major directions of quantum cryptography are quantum key distribution (QKD) and quantum encryption, with the former focusing on secure key distribution and the latter focusing on encryption using quantum algorithms. In contrast to the well accepted success of the QKD, the development of quantum encryption is rather limited because of the difficulties of building up algorithms and the constructing the practical quantum computers. Here we propose a new scheme of quantum encryption based on high-dimensional entanglement holography. Firstly, we experimentally realize the quantum holography based on the high-dimensional orbital angular momentum (OAM) entanglement. Then, OAM-selective holographic scheme for quantum encryption is proposed and demonstrated. Our results show that introducing quantum entangled state into OAM holography makes the OAM holography possess infinite information channels and the transmission of information be absolute security in principle. Furthermore, decryption in the presence of strong noise is achieved. Our work opens up a new way to realize quantum information security.
Margins of Postural Stability in Parkinson’s Disease: An Application of Control Theory
Authors: Rahmati Zahra , Behzadipour Saeed , Taghizadeh Ghorban 
Published: July 2021

Abstract
Background: Postural instability is a restrictive feature in Parkinson’s disease (PD), usually assessed by clinical or laboratory tests. However, the exact quantification of postural stability, using stability theorems that take into account the human dynamics, is still lacking. We investigated the feasibility of control theory, Nyquist stability criterion (Gain Margin – GM –, and Phase Margin – PM –), in discriminating postural instability in PD; as well as the effects of a balance-training program. Methods: Center-of-pressure (COP) data of 40 PD patients before and after a 4-week balance-training program, and 20 healthy control subjects (HCs) (Study1); as well as COP data of 20 other PD patients at four time points during a 6-week balance-training program (Study2), collected in two earlier studies, were used. COP was recorded in four tasks, two on rigid surface and two on foam, eyes-open and closed. A postural control model (an inverted-pendulum with PID controller and time delay) was fitted to the COP data, to subject-specifically identify the model parameters; thereby calculating |GM| and PM for each subject in each task.Results: Patients had smaller margin of stability (|GM|, PM) compared to HCs. Particularly, patients, unlike HCs, showed drastic drop in PM on foam. Clinical outcomes and margin of stability improved in patients after balance training. |GM| improved early at week 4, followed by a plateau in the rest of the training. In contrast, PM improved late (week 6), in a relatively continuous-progression form. Conclusions: Using fundamental stability theorems is a promising technique for standardized quantification of postural stability in various tasks.
Prevalence of Anti-Phospholipid Autoantibodies and Their Association with Respiratory SOFA Component in Patients with COVID-19 Pneumonia: A Prospective Cohort Analysis in Tunisia
Authors: ABOUDA Amal , BOUKHALFA Yasmine , ANENE Wafa , HAJJEJ Zied , GHAZOUANI Ezzeddine , FERJANI Mustapha , LABBENE Iheb 
Published: July 2021

Abstract
Purpose: The aim of our study was to evaluate the prevalence of aPLAs among Tunisian critically-ill covid19 and non-covid19 patients and to investigate the clinical significance of aPLAs by determining the SOFA score and their respiratory failure during their ICU stay. Methods: We conducted a prospective observational cohort study including critically ill COVID-19 patients and non-COVID-19 patients with pulmonary origin sepsis, admitted to the intensive care unit. Blood samples were collected on days 1, 3, 5, 8 and 10 of hospitalization in order to measure titers of anti-cardiolipin (aCL), anti-phosphatidylserine (aPS) by chemiluminescence immunoassay. Results: We enrolled 43 COVID-19 patients and 31 non COVID-19 with pulmonary origin sepsis. In-hospital mortality rate was significantly higher (p=0.026) in COVID-19 patients (79%). 58.8% of COVID-19 patients were aPLA positive; however, only 22.5% of the non-COVID-19 were positive for aPLA (p=0.002). A significant positive correlation existed between respiratory SOFA component at days 3, 5, 8 and 10 and anti-phospholipid antibodies concentrations. Conclusion: Based on our results, for the first time, anti-phospholipid antibodies may be used as an independent indicator of respiratory organ failure in critically ill patients, to stratify and assess the prognosis of pulmonary origin sepsis and COVID-19.
The Prevalence of Angiostrongylus Cantonensis in Rodent Hosts in China and Several Asian Countries: A Systematic Review and Meta-Analysis
Authors: Bai Huifang , Cao Yizhen , Chen Yunqiu , Zhang Lingmin , Cheng Mei 
Published: July 2021

Abstract
Background: Angiostrogylus cantonensis (A.cantonensis) is a zoonotic parasitic nematode, with a worldwide distribution, causing eosinophilic meningitis or meningoencephalitis in humans. Although the biology of A.cantonensis is relatively well known, little is understood about the transmission level in different zoogeographical regions, especially in Asia. Here, to evaluate the prevalence of A.cantonensis in rodent hosts in China and several Asian countries, we conducted a systematic review registered with PROSPERO (CRD42020161665). Methods: Records were selected systematically from 7 databases (Medline via to Pubmed, Web of science, Scopus, Google Scholar, CNKI, Wangfang, CBM ). Forest plots and random-effects model were used to display pooled estimates. The Freeman-Tukey double arcsine transformation of R software was used to conduct meta-analysis and statistical significance was set at 0.05.Results: A total of 67 studies met the inclusion criteria and were included in the systematic review and meta-analysis. The pooled prevalence estimates of A.cantonensis infection in rodents was 0.1003 (95%CI: 0.0765, 0.1268). There was significant heterogeneity in reported outcomes (p<0.0001). So we considered that there was no publication bias in the included studies.Conclusion: The A.cantonensis infection rate among rodent hosts was still high in Asia, particularly in China, especially in Rattus norvegicus, and thus comprehensive measures should be taken for rodent hosts control to avoid an angiostrongyliasis outbreak. Due to the wide distribution and movement of rodent hosts, people in all regions of China, even in other Asia area live at risk of an infection. Hence, the development of more reliable diagnostic tests will be key for an effective identification of cases as well as improved patient care. Consequently, further studies are required to updated strategies for controlling A.cantonensis infection among human population.
A Survey on Convolutional Neural Networks for MRI Analysis
Authors: Hardaha Shreya , Reddy Damodar , Parne Saidi Reddy 
Published: July 2021

Abstract
As of late, Convolutional Neural Networks have been very successful in segmentation and classification tasks. Magnetic resonance imaging (MRI) is a favored medical imaging method that comes up with interesting information for the diagnosis of different diseases.MR method is getting to be exceptionally well-known due to its non-invasive rule and for this reason, automated processing of this sort of image is getting noticed. MRI is effectively and widely used for tumor detection. Brain tumor detection is a popular medical application of MRI. Automating segmentation using CNN assists radiologists to lessen the high manual workload of tumor evaluation. CNN classification accuracy depends on network parameters and training data. CNN has the benefit of learning image features automatically directly out of multi-modal MRI images. In this survey paper, we have presented a summary of CNN's recent advancement in its technique applied on MRI images. The aim of this survey is to discuss various architectures and factors affecting the performance of CNN for learning features from different available MRI datasets. Based on the survey, section III (CNN for MRI analysis) comprises three subsections: A) MRI data and processing, B) CNN dimensionality, C) CNN architectures.
Adult Onset Egg Allergy: A Case Report
Authors: Cremonte Elisa Maria , Galdi Eugenia , Roncallo Chiara , Boni Elisa , Cremonte Luigi 
Published: July 2021

Abstract
Background: Egg allergy is one of the most frequent food allergies in childhood while adult onset of egg allergy is a rare condition.Case presentation: We report the case of a 30 years old man sent to our center in order to investigate gastrointestinal symptoms occurring since two years after egg and derivatives intake. He did not suffer from egg or other food allergies in childhood. He is an active smoker with a contact dermatitis related to nickel and mild allergic rhinoconjunctivitis to grass pollen. Skin prick test and serum specific IgE to egg were performed and revealed sensitization to egg proteins. Conclusions: Even though IgE-mediated egg allergy affects children, this report witnesses a rare case of adult onset.
Conversion Therapy of Unresectable Pancreatic Cancer: A Retrospective Study of the Real World
Authors: Wang Mingxing , Zhu Pengfei , Chen Zheling , Yang Liu 
Published: July 2021

Abstract
Objective: A retrospective study of the real world was conducted to analyze whether patients with unresectable pancreatic cancer (URPC) can benefit from conversion therapy, and to screen out pancreatic cancer patients who are suitable for conversion therapy.Patients and Methods: Inquired about patients with URPC who visited Zhejiang Provincial People's Hospital from January 2015 to April 2021. We selected 25 patients with URPC who underwent conversion therapy, and 19 patients with locally advanced pancreatic cancer (LAPC) who directly underwent surgery to conducted a retrospective analysis. Results: The median overall survival (OS) of 25 patients with URPC who received conversion therapy was 28 months (95%CI: 15.46-40.54 months), and the median progression-free survival (PFS) was 12 months (95%CI: 9.26-14.74 months). The curative resection (R0) rate was 84% (22/25).Conclusions: Conversion therapy improves the R0 rate of patients with URPC, and prolongs OS and PFS.