bluuebunny/crossref_metadata_2025 huggingface dataset:
2
E
,4
E
-Decadienoic Acid, a Novel Anti-Oomycete Agent from Coculture of Bacillus subtilis and Trichoderma asperellum
Authors: Zhang Xi-Fen , Li Qing-Yu , Wang Mei , Ma Si-Qi , Zheng Yan-Fen , Li Yi-Qiang , Zhao Dong-Lin , Zhang Cheng-Sheng
Published: August 2022

P
.
nicotianae
is an oomycete pathogen that is destructive to crops. Although some oomycete inhibitors have been used during crop production, most are harmful to the ecology and lead to pathogen resistance.
Prevalence, Incidence, and Risk Factors for Intestinal Colonization Due to Fluoroquinolone-Resistant ST131 Escherichia coli: a Longitudinal Study in Highly Dependent, Long-Term Care Facility Residents
Authors: Salamanca-Rivera Elena , López-Cerero Lorena , Rodríguez-Martínez Jose Manuel , Pascual Alvaro , Rodríguez-Baño Jesús
Published: August 2022

We aimed at investigating the microbiological and epidemiological features of clade C fluoroquinolone-resistant ST131
E. coli
isolates colonizing highly dependent residents in long-term care facilities (LTCFs) during 40 weeks and the risk factors of acquisition. Isolates from C1 and C2 subclades were characterized in this environment.
Improving adherence to guidelines for spine pain care: what tools could support primary care clinicians in conforming to guidelines?
Authors: Fifer Sheila Kean , Choundry Niteesh K , Brod Meryl , Hsu Eugene , Milstein Arnold
Published: August 2022

Background

Spine pain is one of the most common conditions seen in primary care and is often treated with ineffective, aggressive interventions, such as prescription pain medications, imagery and referrals to surgery. Aggressive treatments are associated with negative side effects and high costs while conservative care has lower risks and costs and equivalent or better outcomes. Despite multiple well-publicised treatment guidelines and educational efforts recommending conservative care, primary care clinicians (PCCs) widely continue to prescribe aggressive, low-value care for spine pain.

Methods

In this qualitative study semistructured interviews were conducted with PCCs treating spine pain patients to learn what prevents clinicians from following guidelines and what tools or support could promote conservative care. Interviews were conducted by telephone, transcribed and coded for thematic analysis.

Results

Forty PCCs in academic and private practice were interviewed. Key reflections included that while familiar with guidelines recommending conservative treatment, they did not find guidelines useful or relevant to care decisions for individual patients. They believed that there is an insufficient body of real-world evidence supporting positive outcomes for conservative care and guidance recommendations. They indicated that spine pain patients frequently request aggressive care. These requests, combined with the PCCs’ commitment to reaching shared treatment decisions with patients, formed a key reason for pursuing aggressive care. PCCs reported not being familiar with risk-screening tools for spine patients but indicated that such screens might increase their confidence to recommend conservative care to low-risk patients.

Conclusions

PCCs may be more willing to give conservative, guideline-consistent care for spine pain if they had tools to assist in making patient-specific evaluations and in countering requests for unneeded aggressive care. Such tools would include both patient risk screens and shared decision-making aids that include elements for resolving patient demands for inappropriate care.
COPD disease knowledge, self-awareness and reasons for hospital presentations among a predominately Indigenous Australian cohort: a study to explore preventable hospitalisation
Authors: Pal Arijeet , Howarth Timothy P , Rissel Chris , Messenger Raelene , Issac Siji , Ford Linda , Connors Christine , Heraganahally Subash
Published: August 2022

Background

The prevalence of chronic obstructive pulmonary disease (COPD) is higher among Indigenous Australians than that of non-Indigenous Australians. However, no studies have investigated COPD disease awareness and knowledge among Indigenous Australians. In this study, we assessed the COPD disease awareness among Indigenous and non-Indigenous patients in the Top End Health Service region of the Northern Territory of Australia.

Methods

Of a total convenience sample of 100 adults, 86 patients consented to participate in this study over a 15-month period. A structured interview was conducted to identify participant’s level of knowledge about COPD, medications, self-management, healthcare interaction and utilisations.

Results

Most (69%) participants were Indigenous and men (52%). Indigenous patients were significantly younger (mean 56 vs 68 years p<0.001), with a higher proportion of remote residence and current smoking. COPD knowledge across the cohort was low, with 68% of Indigenous and 19% of non-Indigenous participants reporting they ‘know nothing/had never heard of COPD’. Most patients self-reported use of puffers/inhalers and were able to identify medication used; however, adherence to therapy was observed in only 18%. Shortness of breath was the most common symptom for hospital presentation (83%) and 69% of Indigenous patients reported seeking medical attention during an exacerbation. Self-management and COPD action plans were poorly implemented. A significant proportion (49%) reported ≥2 hospital admissions in the preceding 12 months. During exacerbation, although the majority of Indigenous patients were transferred to a tertiary centre from remote communities, patient’s preference was to be managed in their respective local communities.

Conclusions

Awareness and understanding of COPD are low in this cohort on several domains. Tailored and culturally appropriate initiatives for both patients and health professionals alike are required to improve COPD disease management among Indigenous population. This will not only improve quality of life but also reduce recurrent hospitalisation, healthcare cost and utilisation.
Performance of early warning and risk stratification scores versus clinical judgement in the acute setting: a systematic review
Authors: Veldhuis Lars Ingmar , Ridderikhof Milan L , Bergsma Lyfke , Van Etten-Jamaludin Faridi , Nanayakkara Prabath WB , Hollmann Markus
Published: August 2022

Objective

Risk stratification is increasingly based on Early Warning Score (EWS)-based models, instead of clinical judgement. However, it is unknown how risk-stratification models and EWS perform as compared with the clinical judgement of treating acute healthcare providers. Therefore, we performed a systematic review of all available literature evaluating clinical judgement of healthcare providers to the use of risk-stratification models in predicting patients’ clinical outcome.

Methods

Studies comparing clinical judgement and risk-stratification models in predicting outcomes in adult patients presenting at the ED were eligible for inclusion. Outcomes included the need for intensive care unit (ICU) admission; severe adverse events; clinical deterioration and mortality. Risk of bias among the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool.

Results

Six studies (6419 participants) were included of which 4 studies were judged to be at high risk of bias. Only descriptive analysis was performed as a meta-analysis was not possible due to few included studies and high clinical heterogeneity. The performance of clinical judgement and risk-stratification models were both moderate in predicting mortality, deterioration and need for ICU admission with area under the curves between 0.70 and 0.89. The performance of clinical judgement did not significantly differ from risk-stratification models in predicting mortality (n=2 studies) or deterioration (n=1 study). However, clinical judgement of healthcare providers was significantly better in predicting the need for ICU admission (n=2) and severe adverse events (n=1 study) as compared with risk-stratification models.

Conclusion

Based on limited existing data, clinical judgement has greater accuracy in predicting the need for ICU admission and the occurrence of severe adverse events compared with risk-stratification models in ED patients. However, performance is similar in predicting mortality and deterioration.

PROSPERO registration number

CRD42020218893.
Cerebrospinal fluid β-synuclein as a synaptic biomarker for preclinical Alzheimer’s disease
Authors: Barba Lorenzo , Abu Rumeileh Samir , Bellomo Giovanni , Paolini Paoletti Federico , Halbgebauer Steffen , Oeckl Patrick , Steinacker Petra , Massa Federico , Gaetani Lorenzo , Parnetti Lucilla , Otto Markus
Published: August 2022

Introduction

β-synuclein (β-syn) is a presynaptic protein, whose cerebrospinal fluid (CSF) levels are increased in patients with Alzheimer’s diseases (AD) showing mild cognitive impairment (MCI) and dementia (dem). Here, we aimed to investigate CSF β-syn in subjects at different AD stages, including preclinical AD (pre-AD), and to compare its behaviour with another synaptic biomarker, α-synuclein (α-syn), and two biomarkers of neuro-axonal damage, namely neurofilament light chain protein (NfL) and total tau protein (t-tau).

Methods

We measured β-syn, α-syn, t-tau and NfL in CSF of 75 patients with AD (pre-AD n=17, MCI-AD n=28, dem-AD n=30) and 35 controls (subjective memory complaints, SMC-Ctrl n=13, non-degenerative neurological disorders, Dis-Ctrl n=22).

Results

CSF β-syn, α-syn, t-tau were significantly elevated in pre-AD patients compared with controls (p<0.0001, p=0.02 and p=0.0001, respectively), while NfL only increased in dem-AD (p=0.001). Pre-AD cases showed lower t-tau concentrations than MCI-AD (p=0.04) and dem-AD (p=0.01). CSF β-syn had the best diagnostic performance for the discrimination of pre-AD subjects from all controls (area under the curve, AUC=0.97) and from SMC-Ctrl subjects (AUC=0.99).

Discussion

CSF β-syn increases in the whole AD continuum since the preclinical stage and represents a promising biomarker of synaptic damage in AD.
Medical students as health workers during the COVID-19 pandemic
Authors: Boggon Adam , Poole Ashley , Smith Sarah , Burns Aine , Dilworth Paul
Published: August 2022

Background

We describe efforts at one tertiary university teaching hospital to rapidly recruit, train and deploy medical students into paid clinical support worker roles during the COVID-19 pandemic.

Methods

Recruitment was conducted by means of a single email outlining the emergent clinical situation and specifying role descriptions, terms and conditions, and temporary staff enrolment paperwork. Applicants could begin work provided they were in good standing and received departmental orientation. Student representatives liaised with teaching faculty and participating departments. Roles were modified in response to student and departmental feedback.

Results

Between 25 December 2020 and 9 March 2021, 189 students contributed 1335 shifts, providing 10 651 hours of clinical care in total. The median number of shifts worked per student was 6 (mean: 7; range: 1–35). Departmental leaders attested that the student workers eased the burden on hospital nursing teams.

Conclusion

Medical students contributed usefully and safely to the provision of healthcare within well-defined and supervised clinical support worker roles. We propose a model of working which could be adapted in the event of future pandemics or major incidents. The pedagogical value to medical students of working in clinical support roles warrants closer evaluation.
Computation of thermal energy in a rectangular cavity with a heated top wall
Authors: Haider Jamil Abbas , Muhammad Noor
Published: August 2022

A heat exchanger is a device that transmits heat energy from one object to another, or within the same object. Examples of heat exchanger include a boiler, an oven and a cooker. Experimental techniques for testing these devices make it more costly and time-consuming. Consequently, computational fluid dynamics (CFD) can manage heat exchanger systems and their performance with ease. The actual impacts of what is being examined may then be predicted computationally which yields a precise output with approximate results. The designed geometry includes a rectangular duct with an inlet, outlet and two obstacles of equal height. The Navier–Stokes equations for the fluid flow are used. During the meshing process, the continuous geometric space of an item is divided into thousands or more forms, which helps to correctly identify the object’s physical shape. The desired model is computed numerically. Finite volume method (FVM) is used to study the results at a low Reynolds number (around [Formula: see text]. The goal is to theoretically analyze the transmission of heat and fluid resistance to the flow. The CFD findings with experimental data are compared to confirm the model predictions. A CFD model based on the FVM and experimental data from a flow cell is used to study how fluid moves through ducts. This study focuses on the pressure, velocity and temperature fields of a fluid moving through a rectangular duct. As the top wall fluid temperature rises, the temperature distribution changes. Increasing fluid flow declines the temperature distribution. Temperature distribution grows with duct heat flow. As the flow rate rises, so does dispersion. Furthermore, as flow rate and velocity distribution drop, pressure distribution rises.
Construct maximally five- and seven-qubit entangled states via three- qubit GHZ state
Authors: Zhi Pengwei , Hu Yi
Published: August 2022

Different mathematics forms of entangled state can judge prepared many particles is if entangled. Entangled state is a key role of quantum information technology. The more entangled states are generated, the better performances are presented. In order to make it more convenient to generate entangled state or judge the state prepared is entangled, we investigate three-qubit GHZ state and expand recurrence relation based on an expand recurrence relation of multi-qubit state. Furthermore, new forms of maximally five and seven-qubit entangled states are reconstructed via three-qubit GHZ state. These new forms stand for universal law of n-qubit and [Formula: see text]-qubit can have direct application in quantum entangle state generation and quantum communications.
THE FIXATION EFFECT OF DIFFERENT TYPES OF SCREWS IN THE WHOLE OSTEOPOROTIC LUMBAR VERTEBRAE: AN FEA STUDY
Authors: NIE JIACHEN , DING LI , ZHANG QING , LIU SHENGHUI , SHI HUIJUAN , ZHANG ZHONGCAI , ZOU HAIBO
Published: August 2022

Purpose: The aim of this study is to explore how pedicle screws (PSs) and cortical bone trajectory (CBT) screws differ in fixation strength when implanted in L1–L5 with osteoporosis, providing support for choosing implants and trajectories in spine internal fixation surgeries. Methods: We filtered 30 lumbar segments out from CT images of eight osteoporotic participants and simulated PS or CBT screw implantation in each segment, generating 60 vertebra-screw assembly FE models. To evaluate the fixation effect, we performed a pull-out force test simulation in each model and analyzed the maximal pull-out force, pull-out stiffness, and equivalent stress of vertebrae and screws. Results: The maximal pull-out force of PS and CBT screws in L1–L5 was in the range of 905–1552 (N) and 587–1012 (N), while the pull-out stiffness was in the range of 1990–2617 (N/mm) and 1007–1681 (N/mm). The fixation strength of PS in L4 and L5 was higher ([Formula: see text]), while in L1–L3 PS and CBT screws are similar ([Formula: see text]). The maximal stress of vertebrae and screws when PS was pulled at 0.25[Formula: see text]mm was larger than that of CBT screws. Conclusions: For patients with moderate osteoporosis, it is recommended to insert PS into L4 and L5 to attain better fixation strength, but vertebrae are more prone to fracture. Consequently, under severe osteoporosis, the implantation of CBT screws should be considered first. Bone cement injection may be necessary to consolidate the screw-vertebrae interface with osteoporosis.
Formal Concept Analysis Applications in Bioinformatics
Authors: Roscoe Sarah , Khatri Minal , Voshall Adam , Batra Surinder , Kaur Sukhwinder , Deogun Jitender
Published: August 2022

The bioinformatics discipline seeks to solve problems in biology with computational theories and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial orders. FCA allows the user to examine the structural properties of data based on which subsets of the dataset depend on each other. This article surveys the current literature related to the use of FCA for bioinformatics. The survey begins with a discussion of FCA, its hierarchical advantages, several advanced models of FCA, and lattice management strategies. It then examines how FCA has been used in bioinformatics applications, followed by future prospects of FCA in those areas. The applications addressed include gene data analysis (with next-generation sequencing), biomarkers discovery, protein-protein interaction, disease analysis (including COVID-19, cancer, and others), drug design and development, healthcare informatics, biomedical ontologies, and phylogeny. Some of the most promising prospects of FCA are identifying influential nodes in a network representing protein-protein interactions, determining critical concepts to discover biomarkers, integrating machine learning and deep learning for cancer classification, and pattern matching for next-generation sequencing.
Effect of Acidic Hydrogen Peroxide and Lysine Slurry on Ovonic Threshold Switch Film in Chemical Mechanical Polishing
Authors: Li Chenghsing , Cai Daolin , Liu Weili , Fang Wencheng , Cui Zijing , Song Zhitang
Published: August 2022

For improving the three-dimensional structure of phase-change memory devices, Ovonic threshold switch devices have received renewed attention as selectors owing to a simple production process, good scalability, and excellent performance. It can replace transistors and diodes in the available technology. In this article, we studied the GeSe-based chemical mechanical polishing process. The different concentrations of hydrogen peroxide and lysine interacting with GeSe in chemical mechanical polishing were investigated. Material characterization was performed by scanning electron microscopy and atomic force microscopy. In addition, the reaction mechanism in the chemical mechanical polishing process was analyzed by electrochemical experiments and X-ray photoelectron spectroscopy.
Design of a Double Cavity Nanotube Tunnel Field-Effect Transistor-based Biosenser
Authors: Gedam Anju , Acharya Bibhudendra , Mishra Guru Prasad
Published: August 2022

The manuscript focused on the concept of junction-less tunnel transistor to suggest and simulate the dielectric modulated double cavity nanotube TFET as a biosensor. The proposed biosensor worked as a label-free detector about dielectric constant (K) and charge density (ρ). In this, for neutral biomolecules (streptavidin and 3-aminopropyl-triethoxysilane (APTES)) and charged biomolecule (deoxyribonucleic acid (DNA)) are used for detection by the proposed sensor. The inner and outer cavities of the nanotube biosensor provide a large area for the stabilization of biomolecules and use the benefits of material solubility. The sensing capability of the proposed device investigates various DC performance parameters for the different dielectric biomolecules and charge densities. Further, the effect of substitution of SiO2 gate insulating layer by HfO2 also studies the sensing capability of the proposed biosensor. Moreover, a relative study of the biosensor for the presence and absence of inner and outer nanogap cavities performs in terms of different DC components to analyze the sensitivity variation.
Cigarette smoke-induced airspace disease in mice develops independently of HIF-1α signaling in leukocytes
Authors: Hume Patrick S. , McClendon Jazalle , Kopf Katrina W. , Harral Julie W. , Poczobutt Joanna M. , McCubbrey Alexandra L. , Smith Bradford J. , Henson Peter M. , Majka Susan M. , Petrache Irina , Janssen William J.
Published: August 2022

The pathogenesis of chronic obstructive pulmonary disease (COPD), a prevalent disease primarily caused by cigarette smoke exposure, is incompletely elucidated. Studies in humans and mice have suggested that hypoxia-inducible factor-1α (HIF-1α) may play a role. Reduced lung levels of HIF-1α are associated with decreased vascular density, whereas increased leukocyte HIF-1α may be responsible for increased inflammation. To elucidate the specific role of leukocyte HIF-1α in COPD, we exposed transgenic mice with conditional deletion or overexpression of HIF-1α in leukocytes to cigarette smoke for 7 mo. Outcomes included pulmonary physiology, aerated lung volumes via microcomputed tomography, lung morphometry and histology, and cardiopulmonary hemodynamics. On aggregate, cigarette smoke increased the aerated lung volume, quasi-static lung compliance, inspiratory capacity of all strains while reducing the total alveolar septal volume. Independent of smoke exposure, mice with leukocyte-specific HIF-1α overexpression had increased quasi-static compliance, inspiratory capacity, and alveolar septal volume compared with mice with leukocyte-specific HIF-1α deletion. However, the overall development of cigarette smoke-induced lung disease did not vary relative to control mice for either of the conditional strains. This suggests that the development of murine cigarette smoke-induced airspace disease occurs independently of leukocyte HIF-1α signaling.
Multimedia Computer-Aided Teaching Platform Based on Particle Swarm Optimization Algorithm
Authors: Li Hongming , Jiang Zhenghong
Published: August 2022

This paper mainly expounds the research hotspots and trends of computer-aided teaching platforms in view of particle swarm optimization algorithm and introduces current situation of computer-aided teaching platforms. This paper analyzes the realization of the core business system of the computer help education platform. And it puts forward the optimization idea of multimedia compute help education platform in view of particle swarm optimization algorithm. The experimental results illustrate Za = 1.42 when students in two classes use the computer-aided teaching platform before optimization. It shows that, at the 0.05 obvious level, there is no important objection in the scores of the two groups of students in the test. When the students in the experimental class used the optimized computer-aided teaching platform, Zb = 3.67, indicating that, at the 0.01 significant level, the performance of the students in the control class was significantly lower than that of the students in the experimental class.
Effect of Salvia Miltiorrhiza Polyphenolic Acid Injection on Improving Limb Use and Cognitive Impairment in Patients with Acute Stroke
Authors: Cong Shan , Dong Chunxue , Hu Yujiao , Wang Chunying , Zhang Bingquan , Li Nan
Published: August 2022

Aims. To investigate the effect of injectable salvia polyphenolic acid on the improvement of limb movement and cognitive dysfunction in acute stroke patients. Materials and Methods. The clinical data of 90 acute stroke patients were collected for retrospective study and divided into 45 cases each in the comparison group and the observation group according to the different treatment methods; using basic treatment + salvianolic acid, the comparison group implemented conventional alteplase and butalbital treatment, and the observation group used injectable salvianolic acid treatment, to observe and compare the clinical efficacy, changes in neurological deficits, cognitive function, and motor function scores before and after treatment in the two groups. Results. The NIHSS (National Institute of Health stroke scale) score, cerebral infarct volume, NSE (neuron-specific enolase), and S100β (A neurotrophic factor) levels were reduced after treatment compared with those before treatment in this group, and the NIHSS score, cerebral infarct volume, NSE, and S100β levels in the observation group were lower than those in the comparison group after treatment, and the difference was statistically significant (

P
<
0.05

). Compared with the clinical efficacy of the comparison group and the observation group, the treatment effect of the observation group was better than that of the comparison group, and the difference was statistically significant (

P
<
0.05

). After treatment, the cognitive function and motor function scores of both groups were significantly improved compared with those before treatment, and the degree of improvement of each score in the observation group was significantly better than that in the comparison group (

P
<
0.05

). During the trial, two patients in the comparison group developed a generalized rash and withdrew from the experiment, and the rash subsided after anti-allergic treatment, and no significant adverse events were observed in the remaining participants. There was no statistically significant difference in liver and kidney function and cardiac enzyme test indexes between the two groups of patients at 14 days of treatment (

P
>
0.05

). Conclusion. Danshen polyphenolic acid for injection has definite clinical efficacy in the treatment of acute ischemic stroke, and it can effectively improve cognitive and motor functions and promote neurological recovery in patients with high safety.
The Path of Rural Industry Revitalization Based on Improved Genetic Algorithm in the Internet Era
Authors: Duan Qifang , Rane Dheeraj
Published: August 2022

With the implementation of the Rural Revitalization Strategy, China has entered a critical stage of transformation and development. The Fifth Plenary Session of the 19th CPC Central Committee made a major strategic deployment for solidly promoting common prosperity, and clearly put forward that by 2035, the common prosperity of all people will make more obvious substantive progress. In addition, this study also proposes to continue to strengthen the construction of rural grass-roots party organizations; select and strengthen township leading groups, members of the village “two committees,” especially the Secretary of the grass-roots party organization; give full play to the role of the fighting fortress of the rural grass-roots party organization; and improve the villagers’ autonomy mechanism under the leadership of the party organization. In places where conditions permit, we should actively promote the Secretary of the village Party organization to serve as the director of the villagers’ committee through legal procedures and strengthen the supervision of “one shoulder” cadres of the village “two committees”. We will continue to send the first secretaries and task forces to key villages. We should put more resources in towns and villages, effectively reduce the burden on grass-roots organizations, and let grass-roots cadres devote more energy to helping farmers solve practical difficulties.
Efficacy of Neoadjuvant Chemotherapy plus Limb-Sparing Surgery for Osteosarcoma and Its Impact on Long-Term Quality of Life
Authors: Jing Shixia , Ding Fengling , Yuan Yinghong , An Jing , He Qiang
Published: August 2022

Purpose. To assess the efficacy of neoadjuvant chemotherapy plus limb-sparing surgery for osteosarcoma and its impact on long-term quality of life. Methods. Between August 2016 and December 2018, 90 patients with osteosarcoma treated in Nanchong Central Hospital were recruited and divided at a ratio of 1 : 1 to receive limb-sparing surgery (control group) or limb-sparing surgery plus neoadjuvant chemotherapy (study group) by random number table methods. The clinical endpoints were clinical efficacy and long-term quality of life. Results. Limb-sparing surgery plus neoadjuvant chemotherapy was associated with a significantly higher efficacy versus limb-sparing surgery alone. Limb-sparing surgery plus neoadjuvant chemotherapy resulted in a significantly higher Enneking score and a higher good function rating of patients versus limb-sparing surgery. The two groups showed a high but similar 1-year survival rate. Patients given limb-sparing surgery plus neoadjuvant chemotherapy showed significantly higher 2-year and 3-year survival and a longer mean survival versus those receiving limb-sparing surgery alone. Limb-sparing surgery plus neoadjuvant chemotherapy resulted in significantly higher scores of role emotional, mental health, physical function, and social function and a lower bodily pain score than limb-sparing surgery alone. Limb-sparing surgery plus neoadjuvant chemotherapy was associated with significantly lower fatigue, nausea and vomiting, dyspnea, constipation, and diarrhea scores and a significantly higher health status score versus monotherapy of limb-sparing surgery. Conclusion. Neoadjuvant chemotherapy plus limb-sparing surgery improves the postoperative limb function and long-term quality of life of patients with osteosarcoma, which shows great potential for clinical promotion.
Patient Family Binding and Authentication Scheme with Privacy Protection for E-Health System
Authors: Zhang Yuanyuan , Huang Zhihao , Zhu Qilong , Meng Lingzhe
Published: August 2022

The emergence of the E-health system has brought convenience to many chronically ill patients and elderly people with limited mobility. With the help of the E-health system, patients can upload their physiological data timely and get a diagnosis at home, which is more convenient and efficient as they do not have to line up in hospitals. In order to ensure this convenience while protecting patients’ privacy, many schemes have been proposed which can help patient and medical server authenticate each other. However, considering these patients’ inconvenience, sometimes family members need to participate in the patient’s treatment process. So, the E-health system needs to provide a secure communication platform for the family members. At present, most of the authentication schemes for the E-health system only focus on the secure communication between the patient and the medical server, while ignoring the participation of family members. Moreover, in the E-health system, the permissions of family members and patient should be different, and the medical server needs to distinguish their permissions efficiently. In order to overcome these problems, we propose a patient family binding and authentication privacy protection scheme for the E-health system. In the scheme proposed by us, the medical server can efficiently assign different permissions to the family member and patient. And our scheme can allow patient to authorize their family members freely, and the increase in the number of family members will not impose additional burden on the server. At the same time, the authentication between the family member and the medical server does not require the participation of the patient. In addition, by comparing with other related schemes, we prove that our scheme has suitable efficiency and security performance in the E-health system.
Automatic Description Method for Sports Videos Based on Economic Management Effectiveness Visualization Techniques
Authors: Shao Dongming , Han Jing
Published: August 2022

The automatic description (AD) of sports videos is a fundamental task for archiving the content of broadcasters, as well as understanding video scenes, and economic management effectiveness visualization techniques are key to the classification of sports videos. In this paper, a freestyle gymnastics video is used as an example to study the automatic video description by observing the set of movements of an athlete in a freestyle gymnastics video to generate the terminology of the movements performed by that athlete. The technique used in this paper to visualize the effectiveness of economic management is the long and short-term memory (LSTM) network model, which is used to learn the mapping relationship between word sequences and video frame sequences. Attention mechanisms (AM) are also introduced to highlight the importance of keyframes that determine freestyle gymnastics movements. The study is carried out by building a dataset of free gymnastics (FG) breakdown movements from professional events and applying a planned sampling method. Experimental results show that the method can improve the accuracy of an automatic free gymnastics video (FGV) description. The proposed method has a wide range of applications in sports analysis and instruction.
Protective Effect of the Chinese Herb Draba Scabra on the Sepsis Myocarditis in Molecular Mechanism
Authors: Gao Xiaoxin , Zhang Rujun , Hu Fuxing , Chen Qingan , Lei Zhenlin , Yang Yanan , Tian Jia , Huang Ling
Published: August 2022

Objective. The aim of this study was to observe the efficacy and mechanism of Draba scabra in sepsis myocarditis. Methods. The efficacy and pathways of action of Draba scabra on septic myocarditis were evaluated by making a rat model of sepsis with appendix perforation, using Draba scabra for pharmacological intervention, and measuring serum inflammatory factors, cardiac function indexes and parameters, and P38 protein expression in each group of rats, respectively. Results. The inflammatory factor level, apoptotic index of cardiomyocytes, and P38-MARK protein were significantly higher, while the cardiac function index and hemodynamic index were significantly decreased in group B, while the opposite was true in group E. The treatment was also found to be dose-dependent. Conclusion. Draba scabra pretreatment effectively reduces the inflammatory response and improves hemodynamic indexes in septic rats. The mechanism may be via the P38-MARK pathway to protect the myocardium.
Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination
Authors: E. Wenjie , Yu Qiufen
Published: August 2022

In order to solve the problem of observing the effect of rehabilitation physical training on basketball player injury, a kind of observation study on the effect of rehabilitation physical training on basketball player injury based on memory ultrasound examination was proposed. This study makes a comprehensive analysis of physical fitness training factors such as physical fitness test plan, training arrangement, training method, training monitoring, and effect evaluation. Through the experiment, it is found that there are still gaps in physical training, diagnostic standards, training plans and requirements, load monitoring, standardization of operation, nutrition, and recovery in the training organization. There are only 23.81% of full-time physical coaches and 25.40% of professional team doctors at all levels of sports teams. There were only 23.81% of full-time physical fitness coaches and 25.40% of professional team doctors in all levels of sports teams. Basketball players in the basketball injury survey had 67 sports injuries throughout the year, with a rate of 3.35 injuries per person and 2.48 injuries per 1000 hours. The location of chronic injuries is usually the lower back, knee joint, and ankle. The main injuries are due to the physical component, with injuries occurring most frequently throughout the training season in July, August, and September. Experiments show that good and professional physical training can reduce the risk of injury to a greater extent than strengthening the specific skills of athletes.
Effect of Ambient Lights on the Accuracy of a 3-Dimensional Optical Scanner for Face Scans: An In Vitro Study
Authors: Thongma-Eng Punrit , Amornvit Pokpong , Silthampitag Patcharawan , Rokaya Dinesh , Pisitanusorn Attavit
Published: August 2022

Most 3D scanners use optical technology that is impacted by lighting conditions, especially in triangulation with structured-light or laser techniques. However, the effect of ambient lights on the accuracy of the face scans remains unclear. The purpose of this study is to investigate the effect of ambient lights on the accuracy of the face scans obtained from the face scanner (EinScan Pro 2X Plus, Shining 3D Tech. Co., LTD., Hangzhou, China). A head model was designed in Rhinoceros 5 software (Rhino, Robert McNeel and Associates for Windows, Washington DC, USA) and printed with 200 micron resolution of polylactic acid and was dented with 2.0 mm of carbide bur to aid in superimposition in software. The head model was measured by a coordinate-measuring machine (CMM) to generate a reference stereolithography (STL) file as a control. The face model was scanned four times under nine light conditions: cool white (CW), warm white (WW), daylight (DL), natural light (NL), and illuminant (9w, 18w, 22w). Scan data were exported into an STL file. The scan STL files obtained were compared with the reference STL file by 3D inspection software (Geomagic Control X version 17, Geomagic, Morrisville, NC, USA). The deviations and root mean square errors (RMSEs) between the reference model (trueness) and within the group (precision) were selected for the statistical analysis. The statistical analysis was done using SPSS 20.0 (IBM Company, Chicago, USA). The trueness and precision were evaluated with the one-way ANOVA with multiple comparisons using the Tukey method. For trueness, the scanner showed the lowest RMSE under the NL group (77.18 ± 3.22) and the highest RMSE under the 18w-DL group (95.33 ± 6.89). There was a statistically significant difference between the NL group and the 18w-DL group (p < 0.05) for trueness. Similarly, for precision, the scanner showed the lowest RMSE under the NL group (56.92 ± 4.56) and the highest RMSE under the 9w-CW group (78.52 ± 10.61). There was statistically significant difference between NL, 18w-WW, 18w-CW, 18w-DL, 22w-WW, 22w-DL, 9w-CW, 9w-WW, and 9w-DL (p < 0.05) for the precision. Ambient lights affected the face scans. Under the natural light condition, the face scanner had the best accuracy in terms of both trueness and precision. The 18w-DL and 9w-WW conditions showed the least trueness whereasthe 9w-CW and 9w-DL conditions showed the least precision.
Dynamic Model of Language Propagation in English Translation Based on Differential Equations
Authors: Wei Wenping
Published: August 2022

English is the most widely used language in the world, and at the same time, English translation is becoming increasingly important. However, the traditional English translation model still has some problems, such as poor translation effect, repeated translation, translation solidification, and translation limitations caused by regional language differences in the application process of language communication. Differential equations refer to relational expressions containing unknown functions and their derivatives. Solving differential equations is to find unknown functions. Differential equations are a branch of mathematics developed along with calculus. In order to solve the problem, this paper puts forward the use of differential equation thinking research English translation language propagation dynamic model, the differential equation combines the neural network language model (NNLM) to form the language dynamic propagation using the differential equation and NNLM model algorithm of the dynamic model for the actual translation effect test (the database includes more than 3,000 indexed, abstract journals and newspapers, including nearly 3,000 full-text journals. The database covers topics, such as international business, economics, economic management, finance, accounting, labor and personnel, and banking. It is suitable for professionals in economics, business administration, financial banking, labor, and personnel management, etc.), and analyze the average code length and the first word hit rate of general language model (GLM), NNLM model, and domain model in the dynamic model in different fields. Then its statistics the overall recall rate and accuracy rate of the dynamic model. The results show that the average code length of the NNLM model is relatively shorter at 2.2 bits. The first word hit rate is higher than the other two models. The first word hit rate of the NNLM model is 85% under non-professional phrases, while 90% under professional phrases. The overall accuracy of the English translation of the dynamic model of language propagation in this paper is 86.37%, and the recall rate is 79.67. It shows that the dynamic model of language propagation combined with neural network and differential equation has a good translation effect and is feasible.
Using Multiple Statistical Methods to Derive Dietary Patterns Associated with Cardiovascular Disease in Patients with Type 2 Diabetes: Results from a Multiethnic Population-Based Study
Authors: Qiao Tingting , Zhao Hui , Luo Tao , Wang Duolao , Mu Kaili , Aimudula Aliya , Pei Hualian , Zhang Guozhen , Dai Jianghong
Published: August 2022

Background. There are few reports on the relationship between dietary patterns and cardiovascular disease (CVD) risk in patients with type 2 diabetes (T2D). This study aimed to explore relationships between dietary patterns and CVD risk in the T2D population using multiple statistical analysis methods. Methods. A total of 2,984 patients with T2D from the Xinjiang Multi-Ethnic Cohort, 555 of whom were suffering from CVD, were enrolled in this study. Participants’ dietary intake was measured by the semiquantitative food frequency questionnaire (FFQ). Three statistical methods were used to construct dietary patterns, including principal component analysis (PCA) method, reduced-rank regressions (RRR) method, and partial least-squares regression (PLS) method. Then, the association between dietary patterns and CVD risk in T2D patients was analyzed by logistic regression. After excluding participants with CVD, the associations between dietary patterns and 10-year CVD risk scores were subsequently evaluated to reduce reverse causality. Results. In this study, four dietary patterns were identified by three methods. Adjustment for confounding factors, subjects with the highest scores on the “high-protein and high-carbohydrate” patterns derived from PCA, RRR, and PLS had higher odds of CVD than those with the lowest scores (OR: 2.89, 95% CI: 2.11–3.96,

P

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r
e
n
d

<
0.001

; OR: 2.96, 95% CI: 2.17–4.03,

P

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r
e
n
d

<
0.001

; OR: 2.01, 95% CI: 1.50–2.70,

P

t
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n
d

<
0.001

, respectively). However, the dietary pattern of PCA-prudent was not significantly related to the odds of having CVD in T2D patients (adjusted ORQ4vsQ1: 0.93, 95% CI: 0.70–1.24,

P

t
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e
n
d

=
0.474

). Interestingly, we also found significant associations between “high-protein and high-carbohydrate” patterns and the elevated predicted 10-year CVD risk in T2D patients (all

P

t
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e
n
d

<
0.05

). Conclusion. The positive correlation between “high-protein and high-carbohydrate” patterns and CVD risk in T2D patients was robust across all three data-driven approaches. These findings may have public health significance, encouraging an emphasis on food choices in the usual diet and promoting nutritional interventions for patients with T2D to prevent CVD.
Illiquidity, Uncertainty Indices, and COVID‐19 Outbreak Conditions: Empirical Evidence from the US Financial Market
Authors: Tissaoui Kais , Hkiri Besma , Zaghdoudi Taha , Azibi Jamel
Published: August 2022

In this paper, wavelet coherences and quantile autoregressive distributed lag (QARDL) approaches are used to study the effect of economic policy uncertainty (EPU), infectious disease EMV tracker (IDEMV), and implied volatility (VIX) on illiquidity during the tranquil and COVID‐19 epidemic periods in the US financial market. Our results show that lagged EPU, current VIX, and lagged VIX positively affect illiquidity during the calm period, while the lagged EPU and current VIX decrease illiquidity during the pandemic period. Furthermore, infectious diseases in the financial market during the pandemic crisis play a significant role in instantaneously improving liquidity, while it was not significant during the tranquil period. Similarly, we suggest that with the combined effect of the EPU and the VIX, the uncertainty caused by implied volatility decreases liquidity in a lagged and contemporaneous manner, while an improvement in liquidity is revealed in the case of the EPU.
New Results of Fixed-Point Theorems in Complete Metric Spaces
Authors: Yaseen Mustafa T. , Ali Ali Hasan , Al-moneef Areej A. , Bazighifan Omer , Nofal Taher A. , Ghanim F.
Published: August 2022

In this paper, fixed point theorems of multiple values of self-mappings have been investigated in Banach space. In addition, a new modification of the same mentioned study has been considered in a metric space with at most three valued self-mappings. Moreover, we have extended and improved some existent results in a complete metric space. Finally, we present a slight improvement on some well-known lemmas that are related to nonexpansive mappings and nonincreasing distances mappings.
Development of Transversely Isotropic Elastoplastic Constitutive Model in FLAC3D and Its Application in Tunnel Engineering
Authors: Li Haoran , Zhang Yajun , Yin Hongwu , Wang Xinlei , Zhao Weigang , Li Wenjiang
Published: August 2022

The obvious anisotropy of layered rock mass prevents the built-in constitutive model of commercial simulation software from accurately describing the elastoplastic behavior of the rock mass. In this paper, a transversely isotropic elastoplastic constitutive model (called the AN-MC model) that characterizes the elastoplastic failure behavior of the layered rock mass is developed by introducing the Mohr-Coulomb yield criterion with the tension cutoff in the model based on the transversely isotropic constitutive model and deriving its finite difference scheme. The development and programming of the transversely isotropic elastoplastic constitutive model are achieved on the basis of the secondary development platform of FLAC3D and the VC++ environment. The accuracy and rationality of the proposed constitutive model are verified in terms of consistency of the calculation results of the developed transversely isotropic elastoplastic constitutive model and the built-in constitutive models. In the numerical analysis of the Queerxi tunnel project, the calculation results of the AN-MC model are in good agreement with the field monitoring data. Thus, the deformation characteristics of the tunnel surrounding rock are well characterized. Comparative analysis of the deformation and failure laws of the layered surrounding rock and isotropic surrounding rock indicates that the plastic failure range of the layered surrounding rock tunnel is larger, and the arch foot and waist are prone to plastic penetration failure with butterfly-shaped characteristics. The research results are important for the scientific prediction and precise support of layered rock mass deformation.
The Impact of Education Based on New Internet Media Technology on College Students' Mental Health and Biomedical Diagnosis
Authors: Wang Dongmei , Wei Wei , Zhao Jinxue
Published: August 2022

There has been an upsurge in signs of gloom, tension, dietary problems, and other dysfunctional behaviors in undergrad populaces lately. At the same time, the need for advisory services is constantly increasing. Some have interpreted these patterns as mental health emergencies that require immediate investigation and the development of possible treatments to meet the needs of students. Later, other studies have linked the observed increase in side effects to shape individual shape enhancement, especially the widespread use of web-based entertainment, and the time spent on such development is clearly a decrease in psychological well-being. Showed to be related while the use of personalized computing innovations has drastically changed the scene in which undergrads interact with one another and appears to have a significant impact on emotional wellness. Similar advances also offer various opportunities for psychological well-being improvement and dysfunctional behaviour treatment. In this segment, we examine the hardships and open doors for undergrad psychological wellness that PC gadgets give. We accentuate potential for extra examination in this field, as well as ways for people and associations to draw in more benefits with these advances in valuable and health-advancing ways.