bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of risk perception and affective response in the COVID-19 preventive behaviours of young adults: a mixed methods study of university students in the Netherlands
Authors: Kollmann Jelena , Kocken Paul L , Syurina Elena V , Hilverda Femke
Published: January 2022

Objectives

Due to an increased infection rate among young adults, they need to adhere to the preventive guidelines to stop the spread of COVID-19 and protect vulnerable others. The purpose of this mixed methods study was to explore the role of risk perception and affective response in the preventive behaviours of young adults during the COVID-19 outbreak.

Setting

This study followed a convergent mixed methods design, in which a quantitative online survey (n=1081) and 10 qualitative in-depth semistructured video interviews were conducted separately in the Netherlands during April–August 2020.

Participants

1081 participants filled in the online survey, and 10 participants participated in the interviews. Eligibility criteria included being a university student.

Primary and secondary outcome measures

Data on risk perception, affective response, that is, worry, and adherence to preventive guidelines were combined and analysed during this study. There were no secondary outcome measures.

Results

The results showed that young adults perceived their risk as low. Their affective response for their own well-being was also low; however, their affective response was high with regards to vulnerable others in their surroundings. Due to their high impersonal risk perception (ie, perceived risk to others) and high affective response, young adults adhered to most preventive guidelines relatively frequently. However, young adults sometimes neglected social distancing due to the negative effects on mental health and the uncertainty of the duration of the situation.

Conclusions

In conclusion, high impersonal risk perception and high affective response regarding others are key motivators in young adults’ preventive behaviour. To maximise adherence to the preventive guidelines, risk communication should put emphasis on the benefits to vulnerable others’ health when young adults adhere to the preventive guidelines.
What is the general Chinese public’s awareness of and attitudes towardsHelicobacter pyloriscreening and associated health behaviours? A cross-sectional study
Authors: Wang Ying-xin , Zou Jin-yu , Hu Li-feng , Liu Qi , Huang Ruo-lin , Tang Tian , Yue Qian-qian , Sun Ying-xue , Xiao Qiao , Zeng Xi , Zeng Ying
Published: January 2022

Objective

To evaluate the general population’s awareness of and attitudes towardHelicobacter pylori(HP) screening and health behaviours.

Design

Cross-sectional study.

Setting

Hengyang, Hunan Province, China.

Participants

Using stratified cluster random sampling, a pretested structured questionnaire was used to interview members of the general population aged ≥18 years.

Primary and secondary outcome measures

Knowledge of and attitudes toward HP screening and associated health behaviours, sociodemographic factors associated with HP knowledge, and screening behaviours.

Results

This study featured 1042 participants. The average knowledge score was 11 (QL=4, QU=20, range 0–29). Approximately 68.9% of the participants said they had heard of HP, but 67.5% had never had an HP test. The most common reasons for not undergoing screening were ‘no symptoms’ (55.7%) and ‘lack of knowledge regarding the benefits of the test’ (21.1%). Independent factors related to knowledge included age, education level, occupation, HP infection, frequency of drinking unboiled water (p<0.05). Factors independently associated with screening behaviour included occupation, average monthly income, presence/absence of indigestion, stomach discomfort or pain, and/or stomach disease and knowledge score (p<0.05). Overall, 941 (90.3%) participants never used anti-HP toothpaste, and 442 (40.5%) never used serving spoons or chopsticks. The risk factors for HP infection included eating out and eating in groups (p<0.05).

Conclusion

In China, the general population has poor knowledge of HP, but most people have a positive attitude towards HP screening. Being asymptomatic and lacking knowledge about testing were the main reasons for reluctance to be screened. These results highlight the urgent need for educational activities to raise awareness, enhance screening rates for HP, and encourage people to adopt a healthy lifestyle.
Physical and affective components of dyspnoea are improved by pulmonary rehabilitation in COPD
Authors: Grosbois Jean-Marie , Gephine Sarah , Kyheng Maeva , Henguelle Julie , Le Rouzic Olivier , Saey Didier , Maltais François , Chenivesse Cecile
Published: January 2022

Background

Dyspnoea is a multidimensional experience of breathing discomfort, but its affective dimension is unfrequently assessed in people with chronic obstructive pulmonary disease (COPD). We evaluated the effectiveness of a home-based pulmonary rehabilitation (PR) programme on the physical and affective components of dyspnoea assessed by the Dyspnoea-12 (D-12) questionnaire. We also determined the baseline characteristics that contributed to the change in D-12 scores.

Methods

In this retrospective study, 225 people with COPD (age, 65±11 years; forced expiratory volume in 1 s (FEV1), 35±15% of predicted value) were enrolled into a person-centric home-based PR, consisting of a weekly supervised 90 min home session during 8 weeks. D-12 questionnaire, health status, anxiety and depressive symptoms, exercise tolerance and general fatigue were assessed at baseline (M0), at the end of PR programme (M2), and 8 (M8) and 14 months (M14) after M0. Multivariable analysis of covariance (ANCOVA) models were performed to identify the baseline characteristics that contributed to the change in D-12 scores.

Results

Both physical and affective components of dyspnoea and all the other outcome measures were improved at M2, M8 and M14 compared with baseline (p<0.05). Baseline body mass index was the only significant independent predictor of the changes in physical dyspnoea score, while the change in the affective dimension of dyspnoea after PR was associated with FEV1, anxiety symptoms and exercise tolerance (6 min stepper test). However, since these variables had only a small impact on the changes in D-12 questionnaire scores, results from the ANCOVA analysis should be taken cautiously.

Conclusion

Both physical and affective components of dyspnoea were improved, at short term and long term, by 8 weeks of individualised home-based PR. The present results support the importance of assessing dyspnoea as a multidimensional experience during PR, warranting replication by robustly designed randomised and controlled studies.
The Holy grail of healthcare analytics: what it takes to get there?
Authors: R Gowda Naveen , Satpathy Sidhartha , Singh Angel Rajan , Behera S D
Published: January 2022

Background

Indian healthcare is rapidly growing and needs efficiency more than ever, which can be achieved by leveraging healthcare analytics. National Digital Health Mission has set the stage for digital health and getting the right direction from the very beginning is important. The current study was, therefore, undertaken to find what it takes for an apex tertiary care teaching hospital to leverage healthcare analytics.

Aim

To study the existing Hospital Information System (HIS) at AIIMS, New Delhi and assess the preparedness to leverage healthcare analytics.

Methodology

A three-pronged approach was used. First, concurrent review and detailed mapping of all running applications was done based on nine parameters by a multidisciplinary team of experts. Second, capability of the current HIS to measure specific management related KPIs was evaluated. Third, user perspective was obtained from 750 participants from all cadres of healthcare workers, using a validated questionnaire based on Delone and McLean model.

Results

Interoperability issues between applications running within the same institute, impaired informational continuity with limited device interface and automation were found on concurrent review. HIS was capturing data to measure only 9 out of 33 management KPIs. User perspective on information quality was very poor which was found to be due to poor system quality of HIS, though some functions were reportedly well supported by the HIS.

Conclusion

It is important for hospitals to first evaluate and strengthen their data generation systems/HIS. The three-pronged approach used in this study provides a template for other hospitals.
From molecular data to natural history: a new species of Apatelodes (Lepidoptera: Bombycoidea: Apatelodidae) from southern Brazil
Authors: Orlandin Elton , Piovesan Mônica , Carneiro Eduardo
Published: January 2022

Apatelodidae is a family of Neotropical bombycoids that is still poorly studied in several aspects. Besides being relatively large moths and abundant in light traps, only sources of information on the natural history of the family have been published, and basically none of this information has been used in the group’s systematics. Aiming to contribute to a better understanding of Apatelodidae life-history studies, we describe a new species of Apatelodidae (Lepidoptera: Bombycoidea) from the Atlantic Forest, southern Brazil, including information from all life stages of the species. We also use DNA barcodes to support species delimitation. Apatelodes je sp. nov. can be differentiated from other species of Apatelodes by the colour of the wings, the morphology of the genitalia, and molecular evidence. Its relationship to other Apatelodes species is discussed taking into account its systematic position, morphology, and natural history.
Formal Verification of Multitask Hybrid Systems by the OTS/CafeOBJ Method
Authors: Nakamura Masaki , Sakakibara Kazutoshi , Okura Yuki , Ogata Kazuhiro
Published: January 2022

Hybrid systems combine both continuous and discrete behaviors, which occur frequently in safety-critical applications in various domains including Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) applications such as health care, transportation, and robotics. For safe and reliable information society with IoT and CPS technologies, it is important to establish a way to specify and verify hybrid systems formally. Formal descriptions of hybrid systems may help us to verify desired properties of a given system formally with computer supports. We propose a way to describe a formal specification of a given multitask hybrid system as an observational transition system (OTS) in CafeOBJ algebraic specification language. OTSs are models where systems behaviors are described through observations. CafeOBJ supports specification execution based on a rewrite theory. We verify that OTS/CafeOBJ specifications of hybrid systems satisfy desired property by the proof score method based on equational reasoning implemented in CafeOBJ interpreter. In this paper, we specify a signal control system with an arbitrary number of vehicles by our proposed method, and verify the system satisfies a safety property by the proof score method.
Multiclass Classification of UML Diagrams from Images Using Deep Learning
Authors: Shcherban Sergei , Liang Peng , Li Zengyang , Yang Chen
Published: January 2022

Unified Modeling Language (UML) diagrams are a recognized standard modeling language for representing design of software systems. For academic research, large cases containing UML diagrams are needed. One of the challenges in collecting such datasets is automatically determining whether an image is a UML diagram or not and what type of UML diagram an image contains. In this work, we collected UML diagrams from open datasets and manually labeled them into 10 types of UML diagrams (i.e. class diagrams, activity diagrams, use case diagrams, sequence diagrams, communication diagrams, component diagrams, deployment diagrams, object diagrams, package diagrams, and state machine diagrams) and non-UML images. We evaluated the performance of seven popular neural network architectures using transfer learning on the dataset of 4706 images, including 700 class diagrams, 454 activity diagrams, 651 use case diagrams, 706 sequence diagrams, 204 communication diagrams, 208 component diagrams, 287 deployment diagrams, 207 object diagrams, 246 package diagrams, 323 state machine diagrams, and 720 non-UML images, respectively. We also proposed our neural network architecture for multiclass classification of UML diagrams. The experiment results show that Xception achieved the best performance amongst the algorithms we evaluated with a precision of 93.03%, a recall of 92.44%, and an F1-score of 92.73%. Moreover, it is possible to develop small and almost the same efficient neural network architectures, that our proposed architecture has the least parameters (around 2.4 millions) and spends the least time per image (0.0135[Formula: see text]s per image using graphics processing unit) for classifying UML diagrams with a precision of 91.25%, a recall of 90.34%, and an F1-score of 90.79%.
Forecasting Stock Index Using a Volume-Aware Positional Attention-Based Recurrent Neural Network
Authors: Yu Xinpeng , Li Dagang , Shen Ying
Published: January 2022

With the rapid development of deep learning, more researchers have attempted to apply nonlinear learning methods such as recurrent neural networks (RNNs) and attention mechanisms to capture the complex patterns hidden in stock market trends. Most existing approaches to this task employ an attention mechanism that primarily relies on the information extracted from input features but fails to consider the other important factors (e.g. trading volume and position), which can potentially enhance these attention-based approaches. Motivated by the observation, we extend the attention mechanism with features needed for stock performance prediction in this paper. Specifically, we propose a volume-aware positional attention-based recurrent neural network (VPA-RNN) for this task. First, we propose a generic method of adding position awareness to the attention mechanism. Next, the trading volume is incorporated into the original attention distribution to form a revised distribution. To evaluate the effectiveness of VPA-RNN, we collected real stock market data for stock indexes S&P 500 and DJIA, and the experimental results show that the proposed VPA-RNN can significantly outperform several existing highly competitive methods.
ON AN EXTENSION OF THE OPERATOR WITH MITTAG-LEFFLER KERNEL
Authors: AL-REFAI MOHAMMED , BALEANU DUMITRU
Published: January 2022

Dealing with nonsingular kernels is not an easy task due to their restrictions at origin. In this short paper, we suggest an extension of the fractional operator involving the Mittag-Leffler kernel which admits integrable singular kernel at the origin. New solutions of the related differential equations were reported together with some perspectives from the modelling viewpoint.
REVISITING FEJÉR–HERMITE–HADAMARD TYPE INEQUALITIES IN FRACTAL DOMAIN AND APPLICATIONS
Authors: RASHID SAIMA , KHALID AASMA , KARACA YELIZ , CHU YU-MING
Published: January 2022

In this paper, some new fractal versions of Fejér–Hermite–Hadamard (FHH) type variants for generalized Raina [Formula: see text]-convex mappings are established benefiting from Raina’s function and fractal set [Formula: see text]. By means of three integral identities coupled with Raina’s function and local differentiation, we established some bounds for the difference between the left and central parts and also the difference between the center and right parts in FHH inequality. Besides that, some illustrative examples and noted special cases are apprehended. Additionally, we developed various generalizations for random variables, cumulative distribution functions, and special function theory as applications of local fractional integrals. The consequences established can provide contribution to inequality theory, fractional calculus and probability theory from the viewpoint of application to establish the other associated classes of functions. With the aid of these methodologies, it is promising to comprise further bounds of other type of variants which involve local fractional techniques.
NEW GENERALIZATION INVOLVING CONVEX FUNCTIONS VIA ℏ-DISCRETE 𝒜ℬ-FRACTIONAL SUMS AND THEIR APPLICATIONS IN FRACTIONAL DIFFERENCE EQUATIONS
Authors: RASHID SAIMA , KHALID AASMA , KARACA YELIZ , HAMMOUCH ZAKIA , CHU YU-MING
Published: January 2022

The purpose of this paper is to explore novel variants for convex functions via discrete [Formula: see text]-fractional operator in the frame of time scale calculus [Formula: see text] with [Formula: see text] and [Formula: see text] Based on a comparison with the integral inequalities, we have provided new discrete fractional inequalities having [Formula: see text]-discrete generalized Mittag-Leffler function in the kernel which generates several known results and can be utilized as handy tools in the investigation of qualitative and quantitative properties of solutions of certain classes of difference equations. Several new special cases are also apprehended in the setting of time scale [Formula: see text] and [Formula: see text] As the application aspect, we provide an illustrated example to show the effectiveness of our new criteria in fractional [Formula: see text]-difference type initial value problem.
THE COMPARATIVE REPORT ON DYNAMICAL ANALYSIS ABOUT FRACTIONAL NONLINEAR DRINFELD–SOKOLOV–WILSON SYSTEM
Authors: ZHANG XIAO-ZHONG , ASJAD MUHAMMAD IMRAN , FARIDI WAQAS ALI , JHANGEER ADIL , INC MUSTAFA
Published: January 2022

The new extended direct algebraic technique is used to attain the new exact solitary wave solutions of the nonlinear fractional couple Drinfeld–Sokolov–Wilson system (DSWS). This DSWS has a lot of applications in water waves, fluid mechanics, quantum mechanics, chemistry, and biology. This system is developed in the perspective of fractional theory of calculus, for this purpose Riemann–Liouville fractional derivative (RLFD), [Formula: see text]-fractional differential operator and Atangana–Baleanu fractional derivative (ABFD) are utilized. The attained solutions contain some new families such as trigonometric functions, hyperbolic functions, rational functions, logarithmic functions, and exponential functions. The graphically analysis and comparison of solutions are plotted by taking appropriate values of the constant parameters to enhance the understanding of physical real-life phenomena. The approach is said to be compatible and effective as a scientific approach for the examination of the various spacetime fractional models in engineering and physics concerning real-life issues.
ANALYSIS OF HIDDEN ATTRACTORS OF NON-EQUILIBRIUM FRACTAL-FRACTIONAL CHAOTIC SYSTEM WITH ONE SIGNUM FUNCTION
Authors: ZHANG LEI , AHMAD SHABIR , ULLAH AMAN , AKGÜL ALI , AKGÜL ESRA KARATAS
Published: January 2022

In 2017, Atangana proposed more generalized operators depending on two parameters: one is fractional order (FO) and other is fractal dimension. The novel operators are defined with three different kernels. These operators produced excellent dynamics of the chaotic systems. In this paper, the Caputo fractal-fractional operator is used to explore a chaotic system which contains only one signum function. The existence theory is developed by using the fixed-point result of Leray–Schauder to prove that the considered chaotic system possesses at least one solution. The proposed chaotic system has a unique solution, according to Banach’s fixed-point theorem. We demonstrate that the suggested chaotic system is Ulam–Hyres (UH) stable under the novel operator of power law kernel by employing nonlinear functional analysis. The Adams–Bashforth technique is used to evaluate the numerical outcomes of the considered model. We show the complex structure of numerical solutions for different FO and fractal dimension values.
Users' Willingness to Provide Information Requirements for Systems Development
Authors: Appan Radha , Browne Glenn J. , Madhavaram Sreedhar
Published: January 2022

Eliciting information requirements from users is critical to timely and successful development of information systems. Despite its importance, however, users may not always be willing to cooperate during the requirements gathering process because sharing the required information may be perceived by them as detrimental to their self-interests. In the present research we investigate users' willingness to provide requirements using the Theory of Planned Behavior, ethics, and anticipated regret. We develop and test a model that draws from these three theories. Data were collected from a sample of 130 respondents and analyzed using multiple regression analysis. Results support our hypotheses that behavioral considerations, ethical considerations, and anticipated regret influence users' willingness to provide information requirements. We discuss theoretical and practical contributions of our findings and implications for future research.
(Invited) Bridge Design for Photoactive Molecules at Interfaces
Authors: Galoppini Elena
Published: January 2022

Electron transfer at the interface between a photoactive molecule and large bandgap nanostructured metal oxide semiconductors (ZnO, TiO2 for instance) remains at the center of intense research in numerous areas of solar energy conversion. Such areas encompass photocatalysis and solar fuels, photovoltaics, energy storage, and artificial photosynthesis. An enduring challenge is the ability to achieve control of the chromophore/semiconductor interface at the molecular level. The goal of our collaborative research is to address it by a combination of synthetic design and interfacial charge transfer studies. The presentation will describe the development of “functional” linkers for chromophore-linker model compounds that are able to tune and control the energy level alignment of molecules on nanostructured or single crystal inorganic semiconductors.
Circadian Clock Genes Are Correlated with Prognosis and Immune Cell Infiltration in Colon Adenocarcinoma
Authors: He Aoxiao , Huang Zhihao , Zhang Rongguiyi , Lu Hongcheng , Wang Jiakun , Cao Jiaqing , Feng Qian
Published: January 2022

Background. Colon adenocarcinoma (COAD) is a malignancy with a high incidence and is associated with poor quality of life. Dysfunction of circadian clock genes and disruption of normal rhythms are associated with the occurrence and progression of many cancer types. However, studies that systematically describe the prognostic value and immune-related functions of circadian clock genes in COAD are lacking. Methods. Genomic data obtained from The Cancer Genome Atlas (TCGA) database was analyzed for expression level, mutation status, potential biological functions, and prognostic performance of core circadian clock genes in COAD. Their correlations with immune infiltration and TMB/MSI score were analyzed by Spearman’s correlation analysis. Pearson’s correlation analysis was performed to analyze their associations with drug sensitivity. Lasso Cox regression analysis was performed to construct a prognosis signature. Moreover, an mRNA-miRNA-lncRNA regulatory axis was also detected by ceRNA network. Results. In COAD tissues, the mRNA levels of CLOCK, CRY1, and NR1D1 were increased, while the mRNA levels of ARNTL, CRY2, PER1, PER3, and RORA were decreased. We also summarized the relative genetic mutation variation landscape. GO and KEGG pathway analyses demonstrated that these circadian clock genes were primarily correlated with the regulation of circadian rhythms and glucocorticoid receptor signaling pathways. COAD patients with high CRY2, NR1D1, and PER2 expression had worse prognosis. A prognostic model constructed based on the 9 core circadian clock genes predicted the COAD patients’ overall survival with medium to high accuracy. A significant association between prognostic circadian clock genes and immune cell infiltration was found. Moreover, the lncRNA KCNQ1OT1/hsa-miRNA-32-5p/PER2/CRY2 regulatory axis in COAD was also detected through a mRNA-miRNA-lncRNA network. Conclusion. Our results identified CRY2, NR1D1, and PER2 as potential prognostic biomarkers for COAD patients and correlated their expression with immune cell infiltration. The lncRNA KCNQ1OT1/hsa-miRNA-32-5p/PER2/CRY2 regulatory axis was detected in COAD and might play a vital role in the occurrence and progression of COAD.
Graded Linearity of Stanley–Reisner Ring of Broken Circuit Complexes
Authors: Reza-Rahmati Mohammad , Flores Gerardo
Published: January 2022

This paper introduces two new notions of graded linear resolution and graded linear quotients, which generalize the concepts of linear resolution property and linear quotient for modules over the polynomial ring A = k[x1, …, xn]. Besides, we compare graded linearity with componentwise linearity in general. For modules minimally generated by a regular sequence in a maximal ideal of A, we show that graded linear quotients imply graded linear resolution property for the colon ideals. On the other hand, we provide specific characterizations of graded linear resolution property for the Stanley–Reisner ring of broken circuit complexes and generalize the results of Van Le and Römer, related to the decomposition of matroids into the direct sum of uniform matroids. Specifically, we show that the matroid can be stratified such that each stratum has a decomposition into uniform matroids. We also present analogs of our results for the Orlik–Terao ideal of hyperplane arrangements which are translations of the corresponding results on matroids.
A Study on the Personality Traits and Their Influencing Factors of Children from Poor Families from the Perspective of Psychological Education
Authors: Fan Huiling , Xu Zhiyuan
Published: January 2022

The problem of poor children’s psychological development has been widely concerned by governments all over the world. At present, the research results of poor children’s psychological development show that poor children mainly have cognitive, mental health, and behavioral problems. This paper studies the personality traits and their influencing factors of children from poor families from the perspective of psychological education. By giving the definition of children from poor families and poor families, this paper analyzes the psychological development of poor children, analyzes the personality traits and influencing factors of children from poor families from the perspective of psychological education, obtains the standard scores of 16 personality traits and their dimensional personality factors and personality factors, and uses the clustering method to realize the difference analysis of personality characteristics of various samples. From the perspective of quantitative psychological education, this paper analyzes the correlation between personality traits and influencing factors of children from poor families in order to provide basis and reference for the government and society to implement targeted poverty alleviation and cut off the intergenerational transmission of poverty.
Value Analysis and Realization of Artistic Intervention in Rural Revitalization Based on the Fuzzy Clustering Algorithm
Authors: Liang Jianhui
Published: January 2022

Intervening in the revitalization and development of art villages is one of the ways to build regional brands in rural areas, fit in with contemporary aesthetics, and meet the needs of modern people for diversified life. At the same time, it is not limited by artistry itself, but a comprehensive artistic activity with modernity, industrial linkage, and sustainability. This paper uses the HPR (Hestenes–Powell–Rockafellar) multiplier method to solve and establishes a SSFCM-HPR (semisupervised fuzzy C-means clustering based on HPR) algorithm. The experimental results on datasets show that FCM-UserCF (fuzzy C-means-user collaborative filtering) algorithm effectively solves the problem of data sparsity and improves the accuracy of recommendation. Rural planning and design under the intervention of art is a kind of respect for local memory, an inheritance of folk crafts, a reshaping of history and culture, and an identification with the countryside itself. It also puts forward new development ideas and guiding methods for the sustainable development of rural areas.
Effect of Joint Use of External Minifixator and Titanium Lockplate on Total Active Motion Range and Hand Function Recovery in Comminuted Metacarpal and Phalanx Fracture Patients
Authors: Li Yao , Zhang Hongwei
Published: January 2022

Objective. To explore the effect of joint use of external minifixator and titanium lockplate on total active motion (TAM) range and hand function recovery in comminuted metacarpal and phalanx fracture patients. Methods. The medical data of 70 patients with comminuted metacarpal and phalanx fracture treated in our hospital from June 2017 to June 2020 were screened for the retrospective study, and the patients were divided into the control group (Kirschner wire internal fixation) and the study group (an external minifixator with titanium lockplate) according to the treatment modalities, with 35 cases each. After treatment, the clinical efficacy of patients was compared between the two groups. Results. No between-group differences in patients’ general data were observed (

P
>
0.05

); the time for hospital stay and fracture healing was obviously shorter in the study group than that in the control group (

P
<
0.05

); after treatment, the study group obtained significantly higher TAM range good rate (

P
<
0.05

), significantly higher Carroll hand function test pass rate (

P
<
0.05

), and obviously better grip strength of both hands and score on digital opposition of thumb than those in the control group (

P
<
0.05

); and after surgery, the study group had significantly lower incidence rates of complications such as infection, local inflammation, displacement of bone, and adhesion of tendon that those in the control group (

P
<
0.05

). Conclusion. Joint use of an external minifixator and titanium lockplate can effectively promote the TAM range and accelerate hand function recovery for comminuted metacarpal and phalanx fracture patients and is conducive to reducing the incidence of postoperative complications, which is safe and has significant efficacy.
Decisions and Coordination of Dual-Channel Supply Chain considering Retailers’ Bidirectional Fairness Concerns under Carbon Tax Policy
Authors: Zhu Xiaodong , Ding Lian , Guo Yajie , Zhu Huiting
Published: January 2022

Climate change has caused huge negative impacts on the ecosystem. Carbon tax policy is an important regulatory means to reduce carbon emissions and mitigate climate change. Based on the carbon tax policy, this study discusses a dual-channel supply chain consisting of one manufacturer, one online retailer, and one offline retailer. Considering retailers’ bidirectional fairness concerns, the optimal carbon emission reduction strategy and the optimal pricing strategy of centralized and decentralized decision-making are discussed under consumers’ channel preference, respectively. On this basis, a coordination contract is proposed to realize the Pareto improvement of the dual-channel supply chain. We find that dual-channel retailers’ profits and prices are negatively correlated with the horizontal fairness concern coefficient and positively correlated with the vertical fairness concern coefficient. The profit of the manufacturer, the carbon emission reduction, and the bargaining power of consumers are all positively correlated with the horizontal fairness concern coefficient and negatively correlated with the vertical fairness concern coefficient. Maintaining an appropriate service level can maximize the profits of enterprises and positively affect the development of enterprises. Through the coordination contract, the supply chain can be promoted to form a win-win mode of complementary advantages.
Upper Bounds of AZI and ABC Index for Transformed Families of Graphs
Authors: Hussain Muhammad , Asif Muhammad , Dutta Ashit Kumar , Almotairi Sultan
Published: January 2022

Topological index is a mapping which corresponds underlying graph with a numeric value and invariant up to all the isomorphisms of graph. Our study is based on a partial open question regarding topological indices: for which members of n-vertex graph family, certain index has minimum or maximum value? In this work, we answered the above-mentioned question regarding

AZI

and

ABC

for transformed families of graphs

Γ
n

k
,
l

and

A

α

Γ
n

k
,
l

. We investigated the fact of pendent paths and the transformation

A

α

over these indices and developed the tight upper bounds regarding these families of graphs. Moreover, we characterized transformed graphs associated with maximum values of these indices.
On Gesell Evaluation System for Disabled Children in Minority Areas
Authors: Chen Guozhi , Tan Weiwei , Shi Yu , Chen Ming , Huang Qin , Lin Yingying , Jiang Jinsheng , Chang Wen-Lung , Huang Yanzhi
Published: January 2022

This paper takes 105 disabled children from the Disabled Rehabilitation Research Center of the South China minority autonomous region as the survey objects. Based on the Gesell scale, it collects health data such as exercise ability and health status of disabled children, analyzes the data in accordance with SPSS software, and constructs comprehensive disease analysis model of 105 disabled children. Moreover, according to five indicator data collected and tested for disabled children (adaptability, big movements, fine movements, language, and personal-social) in Gesell scale, comprehensive disease indicators of the disabled children are calculated and statistically analyzed together with age and gender information. This study analyzed comprehensive diseases and the correlation among various indicators, concluding that most disabled children aged 3–7 are diagnosed with moderate and severe developmental retardation, and retardation level is in obvious normal distribution. At the same time, there is a significant correlation between indicators of ability test interval and measurement indicators with age. This study suggests that targeted treatment and rehabilitation plans should be implemented for disabled children of different ages according to different indicators of ability test interval, which has reference value and significance for improving the treatment level of disabled children and realizing targeted rehabilitation.
A Survey of Compressive Data Gathering in WSNs for IoTs
Authors: Wang Xun , Chen Hongbin
Published: January 2022

Internet of Things (IoTs) are increasingly widespread in the field of health care, smart city and smart home application, industrial and agricultural monitoring, automation, etc. With its growing scale of networks, there are a large amount of data in IoTs needing to be sensed, transmitted, and processed. Resource-limited Wireless Sensor Networks (WSNs) as a perceptual layer of IoTs are hard to handle massive uncompressed sensing data. Compressive data gathering (CDG), which applies compressive sensing theory to data gathering, is a perfectly matching method for data compressing and gathering in WSNs. This promising method has attracted lots of researchers’ attention. In this paper, we attempt to survey substantial references about CDG in WSNs. According to their technology schemes, we classify the published references into three categories, i.e., routing protocol of CDG, clustering scheme of CDG, and CDG combined with other technologies. The merits and defects of each method are highlighted. Our work aims to provide an insight into CDG and promote improvements of this technology.
Body Builder’s Shoulder: Posterior Labrum Periosteal Sleeve Avulsion (POLPSA) and Glenoid Posterior Rim Stress Fracture due to Intense Bench Pressing
Authors: Bonaspetti Giovanni , Dib Giovanni , Azzola Flavio
Published: January 2022

Background. Shoulder overuse, both occupational and sports-related, is a major cause of shoulder pain with an estimated incidence of 0.9%-2.5% in the general population and a prevalence of 7%-27% in Europe and United States. We report on a young amateur bodybuilder presenting with a complex shoulder overuse lesion. A posterior labrum periosteal sleeve avulsion (POLPSA) with a chondral lesion of the posterior glenoid cavity and a SLAP lesion was diagnosed. Case presentation. A 33-year-old male construction worker complained of 9 months worsening right shoulder pain. He was an amateur body builder who would bench press heavy weights (up to 170 kg). A magnetic resonance arthrogram showed a posterior labrum sleeve avulsion, a stress chondral fracture of the posterior glenoid cavity and a SLAP lesion. Arthroscopic repair of the bicipital anchor, posterior labrum fixation and removal of the chondral fragment, proved successful and allowed the patient to return to his previous sports activity. Conclusions. Bench press creates major forces along the anteroposter axis of the upper limbs, pushing the humeral head posteriorly and increasing joint reaction force on the posterior glenoid quadrant considerably as the scapula is locked resting on the bench. This may result in a tendency for the humeral head to subluxate posteriorly which, aggravated by the high number of repetitions, puts the posterior labrum and capsula under very high stress eventually leading to labrum failure. Arthroscopic repair was shown to restore shoulder function in these athletes.
Study on the Interactive Factors between Physical Exercise and Mental Health Promotion of Teenagers
Authors: Guo Zhifeng , Zhang Yiying
Published: January 2022

Adolescence is a key period of growth in life, and the psychological development of teenagers in this period is in a stage of rapid maturity without maturity, with distinct characteristics of self-contradiction. People's in-depth understanding of the concept of mental health has prompted people to have a new understanding of the function of physical exercise, trying to make an in-depth study of the function of physical exercise. Teenagers are considered to be the main force for the future development of our society, so in the process of educating teenagers, we should not only pay attention to the exercise of physical quality but also pay attention to the education of psychological quality. With the rapid development of modern society and science and technology, human life is becoming more and more prosperous, and people have to face various conflicts and troubles. The faster pace of life makes people face more pressure. In this paper, the interaction between adolescent physical exercise and mental health factors is discussed, and the promotion effect of physical exercise on college students' mental health is analyzed, so as to provide theoretical basis for further improving adolescent mental health.
MiR-98 Protects Nucleus Pulposus Cells against Apoptosis by Targeting TRAIL in Cervical Intervertebral Disc Degeneration
Authors: Xu Shimin , Li Yuezhong , Zhang Junshan , Li Zhiwei , Xing Yanping
Published: January 2022

The excessive apoptosis of nucleus pulposus (NP) cells is a major risk factor in the progress of cervical intervertebral disc degeneration (IVDD). In this study, we investigated the impact of miR-98 on apoptosis of NP cells and the potential molecular mechanisms. Lipopolysaccharide (LPS) was used to establish an NP cell IVDD model. The sponging effect of miR-98 on TRAIL 3′UTR was predicted by ENCORI and assessed by the dual-luciferase reporter gene system. The expression levels of miR-98, TRAIL, and TRAIL pathway-related genes were tested by qRT-PCR, Western blot, and immunofluorescence analysis. Cell apoptosis was analyzed by Hoechst 33258 staining and flow cytometry. Cell viability was analyzed by MTT assay. It was found that the expression level of miR-98 was downregulated, while the level of TRAIL was upregulated in IVDD tissues, and their levels were negatively and positively associated with the clinical MRI grade, respectively. The LPS treatment resulted in a significant decrease of the miR-98 expression level and an increase of the TRAIL expression level in NP cells. miR-98 reduced NP cell apoptosis under LPS treatment in vitro. miR-98 directly targeted TRAIL. Moreover, the mRNA and protein levels of DR5, FADD, cleaved caspase8, cleaved caspase3, and cleaved PARP were downregulated by miR-98 overexpression. Overexpression of TRAIL partially reversed the suppressive roles of miR-98 on cell apoptosis and activation of the TRAIL pathway. We concluded that miR-98 inhibited apoptosis of NP cells by inactivating the TRAIL pathway via targeting TRAIL in IVDD NP cells. These results indicated that miR-98 might be a therapeutic target for IVDD.
A Security Transmission and Early Warning Mechanism for Intelligent Sensing Information in Internet of Things
Authors: Qi Li , Wang Zetian , Zhang Di , Li Yunfa
Published: January 2022

As the demand for intelligent services in the Internet of Things continues to increase, the amount of intelligent sensing information is also increasing, and the security of these information has gradually attracted attention. Owing to the openness and the dynamics of intelligent sensor devices, there are a lot of security issues which needed to be resolved for the corresponding intelligent sensing information. In order to protect the transmission security of intelligent sensing information, this paper proposes a security transmission and early warning mechanism for intelligent sensing information in the Internet of Things. In the security transmission and early waring mechanism, we first propose an encryption/decryption algorithm for intelligent sensing information. Then, we build a security transmission algorithm. On that basis, we propose an early warning algorithm of intelligent sensing information. At the end of this paper, we analyze the security of this mechanism and the results of the experiment in order to illustrate its effectiveness. The results show that our proposed security transmission and early warning mechanism are very effective in the Internet of Things.
Serial Changes in Exercise Capacity, NT-proBNP, and Adiponectin in Patients with Acute Coronary Syndrome before and after Phase II Rehabilitation as well as at the 12-Month Follow-Up
Authors: Jin Hong , Liu Yuefei , Schweikert Bernd , Hahman Harry , Wang Lei , Imhof Armin , Muche Rainer , König Wolfgang , Steinacker Jürgen M.
Published: January 2022

Background. Acute coronary syndrome (ACS) causes pathophysiological changes in exercise capacity, N-terminal part of pro-brain natriuretic peptide (NT-proBNP), and adiponectin that impact the course of coronary artery disease and clinical outcomes after cardiac rehabilitation (CR). However, the serial changes and the relationship between the changes in these parameters for a prolonged term remain uninvestigated. Methods. Eighty-one patients with ACS underwent a three- or four-week CR program after acute care and were followed up for 12 months. Exercise capacity on a cycle ergometer and blood levels of NT-proBNP and adiponectin were determined before and after CR as well as at the 12-month follow-up. Results. Exercise capacity increased from 100 watts (in median) before CR to 138 watts after CR and 150 watts at 12 months. The NT-proBNP level (526 pg/ml before CR) remained almost unchanged after CR (557 pg/ml) and then decreased at 12 months (173 pg/ml). The adiponectin level (14.5 µg/ml before CR) increased after CR (16.0 µg/ml) and at 12 months (17.2 µg/ml). There was no significant correlation among the changes in these parameters at each observation time point. Conclusion. During the observation period from before CR to the 12-month follow-up, exercise capacity, NT-proBNP, and adiponectin underwent significant changes; however, these changes were independent from each other and not correlated linearly, and they provide complementary information in clinical practice. Thus, all these parameters should be included and determined at different time points for a prolonged period of time.
Pinocembrin Reduces Keratinocyte Activation and Ameliorates Imiquimod-Induced Psoriasis-like Dermatitis in BALB/c Mice through the Heme Oxygenase-1/Signal Transducer and Activator of Transcription 3 Pathway
Authors: Huang Kuo-Kuei , Lin Meng-Nan , Hsu Hui-Chun , Hsu Yi-Ling , Huang Ting-Ni , Lu I-Huang , Pan I-Hong
Published: January 2022

Psoriasis is an autoimmune disease characterized by chronic skin inflammation and excessive keratinocyte proliferation. The itchy, scaly, and erythematous lesions present on psoriatic skin negatively affect patients’ quality of life. Pinocembrin is a flavonoid present in propolis, fruits, and vegetables. It exerts neuroprotective effects and was used for treating ischemic stroke in a human clinical trial. However, the effects of pinocembrin on psoriasis have never been examined. In this study, we evaluated the effects of pinocembrin on human HaCaT keratinocytes and BALB/c mice with imiquimod- (IMQ-) induced psoriatic dermatitis. In interferon-γ- (IFN-γ-) activated HaCaT cells, pinocembrin reduced the expression of inflammatory cytokines, namely, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and keratinocyte proliferation markers, namely, keratin (K)16, K17, and Ki-67. The mechanism underlying these inhibitory effects involved the regulation of the heme oxygenase- (HO-) 1/signal transducer and activator of transcription (STAT) 3 pathway. In the IMQ-induced psoriatic dermatitis mouse model, the topical application of pinocembrin significantly ameliorated the Skin Psoriasis Area and Severity Index score, epidermal thickness, inflammation, hyperplasia, hyperkeratosis, and cluster of differentiation (CD) 4+ T-cell infiltration. Expression of the inflammatory cytokines and keratinocyte proliferation markers in dorsal skin was significantly decreased in the pinocembrin-treated group. Meanwhile, in lesional skin, the expression of HO-1 was upregulated, but that of phospho-STAT3 (pSTAT3) was downregulated. Collectively, our results indicated the therapeutic potential of pinocembrin. Additional studies are warranted to evaluate its clinical benefits in patients with psoriasis.
Multipopulation Particle Swarm Optimization Algorithm with Neighborhood Learning
Authors: Li XiaoMing , Wang ZiYi , Ying Yi , Xiao FangXiong
Published: January 2022

Particle swarm optimization (PSO) algorithm is widely used due to its fewer control parameters and fast convergence speed. However, as its learning strategy is only learning from the global optimal particle, the algorithm has the problem of low accuracy and easily falling into local optimization. In order to overcome this defect, a multipopulation particle swarm optimization algorithm with neighborhood learning (MPNLPSO) is proposed in this article. In MPNLPSO, a small-world network neighborhood learning strategy is proposed to make particles learn from the neighborhood optimal particles instead of only the global optimal particle. Furthermore, the concept of multipopulation cooperation is introduced to balance the ability of global exploration and local exploration. In addition, a dynamic opposition-based learning strategy is proposed to effectively activate the particles in the search stagnation state. Moreover, in order to improve the accuracy of the algorithm and, to some extent, avoid the population diversity decreases too fast, as the searching process continues, Lévy flight is introduced to randomly perturb the particles of historical optimal and neighborhood optimal. To verify the performance of the proposed algorithm experimentally, twenty benchmark functions are solved. Experimental results show that the proposed multipopulation particle swarm optimization algorithm with neighborhood learning presents high efficiency and performance with a certain robustness.