bluuebunny/crossref_metadata_2025 huggingface dataset:
A Point Cloud-Based Feature Recognition and Path Planning Method
Authors: Chen Changhong , Wang Shaofeng , Huang Shunzhou
Published: February 2022

Based on the research background of in situ automatic ultrasonic phased array inspection of irregular porous castings, due to the limited in situ inspection stations, complex shape of irregular porous castings, and extreme multireflection structural features, it is necessary to identify the positioning inspection features among multiple features to be inspected and plan the optimal inspection path. This research is interested in the porous location recognition and its detection path planning of irregular porous castings. For this, a point cloud-based multifeature contour recognition and location algorithm were proposed to simultaneously extract and locate the hole feature and cylindrical feature from an irregular porous castings. Furthermore, a detection path planning method was put forward to search the shortest robot’s detection path based on the above acquired features by visual recognition and positioning technology. First, through the calibration of the industrial robot tool coordinate system and the internal and external parameters of the camera, the “EyeinHand” hand-eye conversion relationship was established. Second, the robot vision system collects the point cloud information of the area to be inspected and performs point cloud splicing, the accuracy of the original data, the removal of noise such as invalid points, outliers and internal noise points, on this basis, the boundary curve of the hole to be inspected was extracted, the cylindrical equation was fitted, its geometric center was calculated, and the central coordinates and axis direction of the contour of the hole to be inspected were obtained. Finally, all the detection paths were traversed through the multibranch tree to obtain the optimal detection path of the detection points of multiple targets. The experimental results show that the positioning accuracy of the feature of the hole to be inspected by the vision system is 0.107 mm, the aperture extraction accuracy is 0.002 mm, the cylinder fitting accuracy is 0.04 mm, and the calculation accuracy of the angle between the two axes is within 0.4. When the number of features to be inspected is different, the average moving distance can be saved by 10.7% by using the end effector after path optimization. The feasibility of in situ automatic ultrasonic phased array detection for irregular porous castings using by visual positioning is verified.
The Research of the Overlapping Decentralized Guaranteed Cost Hybrid Control Method for Adjacent Buildings with Uncertain Parameters
Authors: Xu Qinghu , Zhen Xuezhi , Ruan Xiang , Liu Yutao , Shi Xianzeng , Man Dawei , Kang Xiaofang , Xia Guanghui
Published: February 2022

This paper presents an overlapping decentralized guaranteed cost hybrid control method for adjacent buildings with uncertain parameters, by combining the guaranteed cost control algorithm with the overlapping decentralized control strategy. The passive dampers are used as link members between the two parallel buildings, and the active control devices are installed between two consecutive floors in two adjacent buildings. The passive coupling dampers modulate the relative responses between the two buildings, and the active control devices modulate the interstory responses of each building. Based on the inclusion principle, a large-scale structure is divided into a set of paired substructures with common parts first. Then, the controller of each pair of substructures is designed by using the guaranteed cost algorithm. After that, the controller of the original system is formed by using the contraction principle. Consequently, the proposed approach is used to prevent pounding damage and achieve the best results in earthquake response reduction of uncertain adjacent buildings when compared with the calculation results obtained by the centralized control strategy. Furthermore, the stability and reliability of the control system are promoted by adopting the overlapping decentralized control strategy.
Investigation of Reinforced Concrete Column Containing Metakaolin and Fly Ash Cementitious Materials
Authors: Dharmaraj R. , Bhadauria Sudhir Singh , Mayilsamy K. , Thivya J. , Karthick Alagar , Baranilingesan I. , Mohanavel V. , Muhibbullah M. , Osman Sameh M.
Published: March 2022

Nowadays, high‐performance concrete is employed in the building sector all over the world. For a strong and durable construction, high performance appears to be a better option. These specially designed types of concrete are made using both conventional and unique materials to fulfill a combination of performance requirements. The objective of this experiment is to investigate the behaviour of short and long columns made of high‐performance concrete (HPC). In this study, HPC was manufactured by essential denominators such as cement, fine aggregate, coarse aggregate, water, and mineral admixtures such as metakaolin and fly ash at different replacement levels. The high‐performance concrete (HPC) was designed with compressive strength (CS) of about 60 N/mm2. The mixture was developed under the guidelines in modified ACI 211.4R‐93. All combinations have the same 0.30 water binder ratio (W/B) and are utilized to achieve improved workability with the addition of a superplasticizer for a chemical admixture, namely, CERAPLAST 300. Seven proportions are cast with 0%, 5%, 7.5%, and 10% replacement of cement with metakaolin and another set of specimens with 5%, 7.5%, and 10% replacement with metakaolin along with a constant 10% replacement of fly ash. For the investigation of strength properties, specimens (cube, prism, and cylinders) such as compressive strength (CS) (3, 7, 28, 56, and 90 days), flexural (FS) and tensile strength (STS) (28 days) and modulus of elasticity were cast (28 days). Totally 14 columns, 7 for short and long columns, were cast, each cured for 28 days. These specimens have been tested in the 1000 kN loading frame. All small columns were tested with concentrated compression, whereas long columns were investigated with little concentration and uniaxial bending. The compressive strength of HPC with 7.5 percent metakaolin and 10 percentage fly ash (MR6) is 59 MPa, 7.34% greater than the compressive strength of reference concrete.
An Overview of Agent-Based Models for Transport Simulation and Analysis
Authors: Huang Jiangyan , Cui Youkai , Zhang Lele , Tong Weiping , Shi Yunyang , Liu Zhiyuan
Published: February 2022

This article presents an overview of the agent-based modeling and simulation approach and its recent developments in transport fields, with the purpose of discovering the advantages and gaps and encouraging more valuable investigations and applications of agent-based models. We clarify the agent-based model from agents, the background of development, and the basic structure applied in transport systems. Then, the agent-based transport modeling toolkits are discussed. The applications of agent-based models in transport systems are reviewed in three time scale models followed by an additional discussion of hybrid modeling approaches. The extensive modeling of the beliefs, desires, learning, and adaptability of individuals and the optimization problems using agent-based models are explored. Besides, we point out some limitations in terms of calibration and validation procedure, agents’ behavior modeling, and computing efficiency. In conclusion, some recommendations are given and suggest potential and insightful directions such as Big Data and Digital Twin for future research.
Evaluation of Emergency Intelligence Capability of Major Public Health Events in Probabilistic Uncertain Language Environment
Authors: Yang Yaxu , Guo Zixue
Published: February 2022

Emergency intelligence capability is an important index reflecting the intelligence level of emergency management. The accuracy of emergency intelligence capability evaluation is related to the scientific nature of emergency decision-making. By analyzing the operation process and mechanism of the emergency intelligence system for major public health events, this paper establishes the evaluation index system of the emergency intelligence capability. By using the decision method of VIKOR and considering the preference of experts in the evaluation process, this paper proposes the evaluation model based on the probabilistic uncertain language environment. The use of probabilistic uncertain linguistic term set (PULTS) to describe the uncertain information is helpful to improve the scientific and accuracy of emergency rescue decision-making of major public health events and then realize the organic unity of emergency information and scientific decision-making of public health events.
Impacts of Nursing Work Environment on Turnover Intentions: The Mediating Role of Burnout in Ghana
Authors: Poku Collins Atta , Donkor Ernestina , Naab Florence
Published: February 2022

Background. The nursing practice environment supports excellence and decent work and has the influence to entice and retain the quality nursing workforce. Appreciating the dynamics that affect the turnover intention of RNs offer reasonable solutions to the challenges of the nursing shortage, which directly influence the quality of nursing care. There is a paucity of information on the impacts of these concepts among RNs in Sub-Saharan African. The study therefore aimed at determining the impacts of work environment and burnout on turnover intentions among RNs in Ghana. Methods. A descriptive cross-sectional design using a simple random and proportionate stratified sampling with a sample of 232 RNs from Municipal and Regional Hospitals, Sunyani, West-Central part of Ghana completed validated instruments measuring work environment, burnout, and turnover intentions. Descriptive analysis was done to find out RNs’ perceptions of their work environment and turnover intentions. Mediation analysis by Baron and Kenny’s approach was used to determine the mediating effect of burnout on the relationship between the domains of PPE and the turnover intention of RNs. STROBE checklist was used as the reporting tool. Results. While most RNs had a positive perception about their work environment, greater number of them had turnover intentions. There were significant associations between some nursing work environment facets and turnover intention. The results also showed a statistically significant relationship between nurse-physician relation (β = .353, t = 5.476,

p

 ≤ .001), nurse manager leadership (β = −0.485, t = −8.192,

p

 ≤ .001), nursing foundation for quality care (β = .400, t = 7.059,

p

 ≤ .001), staffing and resource adequacy on (β = 0.485, t = 8.183,

p

 ≤ .001), and turnover intention as mediated by burnout. Conclusion. Burnout resulting from an unsafe work environment impact RNs’ turnover intention. This phenomenon can potentially affect the human resource management and quality of nursing care. Policy strategies aimed at ensuring a professional practice environment and decreased burnout can therefore improve retention of RNs at their workplace.
An Online Teaching Video Evaluation Scheme Based on EEG Signals and Machine Learning
Authors: Huang Haiping , Han Gaorong , Xiao Fu , Wang Rui
Published: March 2022

Nowadays, the number of online teaching videos is rising rapidly; how to evaluate the actual effect of these videos objectively and justly is a hot issue. To solve this problem, this paper proposes a video learning effect evaluation scheme based on EEG signals and machine learning, and the k-nearest neighbor regression algorithm is adopted to complete the mental workload test because the determination coefficient of the training set can achieve 1.0 and no other model can achieve this value. Furthermore, the random forest algorithm is employed to complete the concentration test, and the determination coefficient of the training set is 0.978 and that of the test set is 0.929, both better than the existing relevant online learning video evaluation models. Finally, the effect of teaching videos is evaluated based on the learning efficiency of subjects. Through the student satisfaction test, it is found that this scheme can indeed improve students’ satisfaction with watching teaching video, and the increase rate can achieve 85%. This scheme could not only promote teachers to continuously improve their teaching level, but also provide a more reasonable reference for students to choose teaching videos.
Docosahexaenoic Acid-Enhanced Autophagic Flux Improves Cardiac Dysfunction after Myocardial Infarction by Targeting the AMPK/mTOR Signaling Pathway
Authors: Shi Youyang , Li Hao , Wu Tingting , Wang Qiaoyu , Zhu Qiongjun , Guan Xueqiang , Wu Rongzhou
Published: February 2022

Background and Purpose. Docosahexaenoic acid (DHA) is a type of polyunsaturated fatty acid enriched in cod liver oil and seaweed. It is necessary for the human body and has important functions, such as antioxidation and antiatherosclerosis activities. Long-term oral administration of DHA or the use of DHA at the initial stage of ischemia can increase the level of autophagy and exert a protective effect on neurological functions related to cerebral infarction. However, the effect of DHA on myocardial injury and cardiac insufficiency after myocardial infarction (MI) is unknown. This study was aimed at exploring whether DHA plays a protective role in AMI and its specific molecular mechanism. Experimental Method. In vitro cardiomyocyte hypoxia and in vivo MI injury models were used to determine the role of DHA in MI. Hypoxic injury induced damage in cultured neonatal mouse cardiomyocytes (NMCs). The C57BL/6J mouse MI model was established by permanent ligation of the left anterior descending branch. Main Results. DHA improved the cardiomyocyte viability of NMCs induced by hypoxia injury and reduced cell necrosis. DHA reduced infarct size, improved heart function, and reduced the degree of myocardial fibrosis in mice after MI. In addition, DHA enhanced autophagy flux and reduced apoptosis in vitro and in vivo. In addition, we found that chloroquine, an autophagy inhibitor, blocked the protective effect of DHA on cardiomyocyte apoptosis and cardiac dysfunction, indicating that DHA exerts cardioprotective effects in part by promoting autophagy flux. We also observed that DHA enhanced autophagy flux by activating the AMPK/mTOR signaling pathway. Conclusions and Significance. In conclusion, our findings indicate for the first time that DHA improves MI-induced cardiac dysfunction by promoting AMPK/mTOR-mediated autophagic flux.
Texture Synthesizability Assessment via Deep Siamese-Type Network
Authors: Hao Chuanyan , Yang Zhi-Xin , He Liping , Wu Weimin
Published: February 2022

Example-based texture synthesis plays a significant role in many fields, including computer graphics, computer vision, multimedia, and image and video editing and processing. However, it is not easy for all textures to synthesize high-quality outputs of any size from a small input example. Hence, the assessment of the synthesizability of the example textures deserves more attention. Inspired by the broad studies in image quality assessment, we propose a texture synthesizability assessment approach based on a deep Siamese-type network. To our best knowledge, this is the first attempt to evaluate the synthesizability of sample textures through end-to-end training. We first train a Siamese-type network to compare the example texture and the synthesized texture in terms of their similarity and then transfer the experience knowledge obtained in the Siamese-type network to a traditional CNN by fine-tuning, so that to give an absolute score to a single example texture, representing its synthesizability. Not relying on laborious human selection and annotation, these synthesized textures can be generated automatically by example-based synthesis algorithms. We demonstrate that our approach is completely data-driven without hand-crafted features and/or prior knowledge in the field of expertise. Experiments show that our approach improves the accuracy of texture synthesizability assessment qualitatively and quantitatively and outperforms the manual feature-based method.
Increasing Awareness of Proper Disposal of Unused and Expired Medication Using a Knowledge‐Based Disposal Management System
Authors: Alshehri Deemah , Banjar Haneen
Published: March 2022

Medicines are used daily in Saudi Arabian homes. However, when these medicines are no longer needed, most people dispose of them incorrectly, forgetting the harmful impact of improper disposal. Inadequate awareness and knowledge are major reasons for improper disposal. In this study, we create a broad inclusive knowledge base that includes many types of medications available in Saudi homes and provides guidance on how to dispose of them as a means of raising awareness on correct disposal methods and preventing harmful impacts on both the environment and society. The study primarily aims to understand societal behaviour regarding the disposal of unused and expired medications and develop a prototype of a knowledge‐based system that helps raise awareness of correct disposal methods for unused and expired medications. The data in the knowledge base are presented in tables that are easy to understand and comprehend, and the recommendations are also easy to apply and practice in everyday life. The results from the survey show that 66.8% of the 310 participants had unneeded medications in their homes, and only 14.9% knew how to dispose of unusable medications, while only 6.5% knew how to dispose of expired medications. Overall, the research studied Saudi society’s behaviour regarding unused and expired medications, and we created a prototype of a knowledge‐based system designed to increase awareness of proper disposal and management of unused and expired medications.
Existence and Uniqueness of Common Fixed Point on Complex Partial
b
-Metric Space
Authors: Gnanaprakasam Arul Joseph , Mani Gunaseelan , Aphane M. , Gaba Yaé U.
Published: February 2022

In this study, we establish the existence and uniqueness of common fixed point on complex partial b-metric space. An example and application to support our result is presented.The fourth author Y. U. Gaba would like to dedicate this publication to his wife, Clémence A. Epse G., in celebration of her 33rd birthday
Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks
Authors: Hao Long , Zhi Juncai , Zhu Wei , Zhou Limin
Published: February 2022

In view of the poor effect of badminton players’ physical fitness and response training, this paper puts forward the construction method of badminton players’ pace training model based on big data, constructs badminton players’ pace training index by combining big data technology, optimizes the pace training evaluation algorithm, and puts forward the corresponding Badminton Players’ pace training method to achieve the model design goal. Finally, experiments show that the badminton athlete’s pace training model based on big data has high practicability in the process of practical application and fully meets the research requirements.
A Systematic Review on Serious Games in Attention Rehabilitation and Their Effects
Authors: Shahmoradi Leila , Mohammadian Fatemeh , Rahmani Katigari Meysam
Published: February 2022

Attention is a basic and main mental task and can play an important role in the functioning of other brain abilities such as intelligence, memory, learning, and perception, and its deficit occurs in 80% of patients with traumatic brain injury. The use of game-based tools for rehabilitation is rapidly expanding. Cognitive rehabilitation via video games is an emerging hot topic in cognitive science. Serious games serve a specific purpose in addition to entertainment. They can be more engaging than exercises since they replace reward and motivation systems with real-world motivations as a complement for rehabilitation activities. This study was aimed at identifying and categorizing serious computer games used for attention rehabilitation and evaluating their effects. Six electronic databases (Scopus, PubMed, ISI, Embase, IEEE, and Cochrane) were searched in August 2021. The search strategy consisted of three main concepts of “serious game”, “cognitive deficits”, and “cognitive rehabilitation”. The inclusion criteria were (1) journal articles, (2) English language, (3) being published in the last 10 years, (4) human participants, and (5) game-based intervention. In the 30 included studies, 22 unique games were utilized for attention rehabilitation. Lumosity (20%), Brain Age (Dr. Kawashima’s Brain Training) (10%), and MoHRS (6.66%) were the most common games among the studies. There were (57%) casual, (23%) action, (10%) simulation, and (10%) multiple genres. Of the 47 tools used in the studies, 5 utilized cross-modal oddball attention tasks, 4 utilized game performance, 3 utilized the paced auditory serial additional test (PASAT), and the rest employed other tools. A total of 73 outcome measures were related to attention, 42 measures did not have significant results, 30 were significantly improved, 1 was significantly deteriorated, and 4 articles did not have any specific measures for attention evaluation. Thus, the results revealed the positive effect of serious games on attention. However, issues such as absence of scientific teams, the variety of the disorders that cause defects, the variety of criteria, differences in measurements, lack of long-term follow-up, insufficient RCT studies, and small sample sizes should be considered when designing, developing, and using game-based systems to prevent bias.
Sustained Impairment in Cardiopulmonary Exercise Capacity Testing in Patients after COVID-19: A Single Center Experience
Authors: Evers Georg , Schulze Arik Bernard , Osiaevi Irina , Harmening Kimon , Vollenberg Richard , Wiewrodt Rainer , Pistulli Rudin , Boentert Matthias , Tepasse Phil-Robin , Sindermann Juergen R. , Yilmaz Ali , Mohr Michael
Published: March 2022

Background. Following COVID-19, patients often present with ongoing symptoms comparable to chronic fatigue and subjective deterioration of exercise capacity (EC), which has been recently described as postacute COVID-19 syndrome. Objective. To objectify the reduced EC after COVID-19 and to evaluate for pathologic limitations. Methods. Thirty patients with subjective limitation of EC performed cardiopulmonary exercise testing (CPET). If objectively limited in EC or deteriorated in oxygen pulse, we offered cardiac stress magnetic resonance imaging (MRI) and a follow-up CPET. Results. Eighteen male and 12 female patients were included. Limited relative EC was detected in 11/30 (36.7%) patients. Limitation correlated with reduced body weight-indexed peak oxygen (O2) uptake (peakV̇O2/kg) (mean 74.7 (±7.1) % vs. 103.6 (±14.9) %,

p
<
0.001

). Reduced peakV̇O2/kg was found in 18/30 (60.0%) patients with limited EC. Patients with reduced EC widely presented an impaired maximum O2 pulse (75.7% (±5.6) vs. 106.8% (±13.9),

p
<
0.001

). Abnormal gas exchange was absent in all limited EC patients. Moreover, no patient showed signs of reduced pulmonary perfusion. Using cardiac MRI, diminished biventricular ejection fraction was ruled out in 16 patients as a possible cause for reduced O2 pulse. Despite noncontrolled training exercises, follow-up CPET did not reveal any exercise improvements. Conclusions. Deterioration of EC was not associated with ventilatory or pulmonary vascular limitation. Exercise limitation was related to both reduced O2 pulse and peakV̇O2/kg, which, however, did not correlate with the initial severity of COVID-19. We hypothesize that impaired microcirculation or limited peripheral O2 utilization might be causative for prolonged deterioration of EC following acute COVID-19 infection.
The Viscosity of Methane in Organic Slit Nanopore of Gas-Bearing Shale by Molecular Dynamic Simulation
Authors: Liu Dongchen , Chen Xiaofan , Jia Na , Du Zhimin , Tang Yong , Yue Ping , Zhou Yongyi
Published: February 2022

Non-Darcy flow is observed in the shale gas reservoir because it is rich in organic nanopores. Generally, the permeability of shale gas reservoirs is modified because of non-Darcy flow. However, the viscosity is much less concerned. It has been verified that the viscosity of dilute gas depends on the size of the pore. In this paper, the viscosity of methane in organic slit nanopore is determined with equilibrium molecular dynamics (EMD) simulation. The result shows that the viscosity of bulk methane would decrease with dropping down pressure, while the confined effect would make the viscosity of methane in the organic slit nanopore lesser than that of the bulk phase, and it decreases severely at low pressure. The confined dense gas viscosity model is obtained by theoretical derivation. The EMD results were fitted with this model to obtain the viscosity correction method for dense methane in organic slit nanopores. The dimensionless viscosity (μeff/μb) would decrease sharply with the Knudsen number between 0.1 and 10. Unlike the confined effect on the dilute gas, the potential contribution of the dense gas and the wall also affects its viscosity. Because of the confined effect on the dense methane, the flow capacity of methane is enhanced 1.5 times at least with the pore being smaller than 10 nm and the pressure being lower than 5 MPa. It means that keeping a low reservoir pressure helps to improve the flow of shale gas. This work can improve the understanding of the importance of gas viscosity with the non-Darcy flow in shale gas reservoirs.
A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
Authors: Karamti Hanen , Sindhu Muhammad Sarwar , Ahsan Muhammad , Siddique Imran , Mekawy Ibrahim , El-Wahed Khalifa Hamiden Abd
Published: February 2022

Experts are using picture fuzzy sets (PFSs) in their probes to resolve the uncertain and vague information during the process of decision making because PFSs describe human attitudes naturally. Divergence measure (DM) plays a dominant role in discriminating between two distributions of probability and extracting consequences from that discrimination. In the present work, a novel picture fuzzy divergence measure (PF-DM) is developed between two PFSs. Some of the suggested measure’s important qualities are also discussed with particular situations to validate it. Based on the suggested PF-DM, a multiple-criteria decision-making (MCDM) model is established to grab the fuzzy information. The suggested measure’s performance is compared to that of various existing measures in the literature. An MCDM model has been proven for the usefulness of the suggested technique in dealing with real-life scenarios in the context of dengue sickness and pattern identification. Validation of the suggested MCDM model has been further investigated using validity testing. To improve the generated model, a thorough comparison with several current methodologies has been carried out while taking the time complexity (TC) factor into account.
Kalman Filter Algorithm for Security of Network Clock Synchronization in Wireless Sensor Networks
Authors: Xuan Xinggang , He Jingsha , Zhai Peng , Ebrahimi Basabi Alireza , Liu Gongzheng
Published: February 2022

Wireless sensor networks are a significant subfield of distributed systems, and a large number of their applications require time synchronization. Sensor nodes are powered by batteries. In order to reduce the interference of the peripheral environment on the node as much as possible, the size of the node is relatively small and the circuit design, storage, and calculation are relatively simple. Therefore, wireless sensor network nodes have limited energy, low computing power, and low communication capacity. In addition, the clock of the wireless sensor network node is usually realized through the local crystal oscillator and CPU interrupt mechanism, which is obviously affected by manufacturing errors, temperature changes, and CPU processing delays. Therefore, this research reviews and analyzes the development and current situation of time synchronization and puts forward the challenges faced by time synchronization-related research institutes. From the perspective of dynamic cybernetics, the feasibility of optimization based on Kalman filtering is analyzed. Finally, the article describes the system modeling process, including the clock model and the state equation and observation equation of Kalman filter and uses Matlab platform to carry out experimental simulation and analysis on the precise time synchronization protocol based on Kalman filter in the wireless sensor network environment.
DE Oxidation-Fused Industrial Wastewater Purification Fuzzy Control and Simulation
Authors: Ma Ziyi
Published: February 2022

In this study, a novel microcirculation chromatography with pulsed amperometric discovery (IC/PAD) system is established for the cyanide in business sewage. For business sewage with complicated substrates, the microstrewing means is leveraged for purification and decoration, and subsequently, the IC/PAD course is utilized to psychoanalyze and accuse the cyanide in the match. Under optimum plight, cyanide exhibits some kind of linearity in the frequency of 1.0–200.0 μg/L, and the perception termination and quantification check of cyanide in business sewage are 0.15 μg/L and 0.5 0 μg/L, respectively. The scold is between 88.6% and 1 08.5%. This mode is highly caring, tenacious and awesome, and calm to manage. It offers recent discrimination for the discovery of cyanide in business sewage. In this case, the insincere-frequent uninterrupted inundate analyzer is to decide business sewage with comprehensive distinction in ammonium propellant major. The spring is compared with the mensuration rise of Nessler's test spectrophotometry. The rise has shown that when the double-stroll regularity of extended overflow analyzer is a manner to simultaneously moderate lofty and blaze concentrations of ammonia packaging gas, there is no important contention compared with the mensuration inference of Nessler's test spectrophotometry. The analysis of the regularity has whole reagents, and harmless and strong transformation. This can optimally decrease the effort intenseness of testers and is valuable of preferment. Index Terms—DE oxidation, industrial wastewater, purification, fuzzy control, simulation.
Fractional Minkowski-Type Integral Inequalities via the Unified Generalized Fractional Integral Operator
Authors: Gao Tingmei , Farid Ghulam , Ahmad Ayyaz , Luangboon Waewta , Nonlaopon Kamsing
Published: February 2022

This paper is aimed at presenting the unified integral operator in its generalized form utilizing the unified Mittag-Leffler function in its kernel. We prove the boundedness of this newly defined operator. A fractional integral operator comprising a unified Mittag-Leffler function is used to establish further Minkowski-type integral inequalities. Several related fractional integral inequalities that have recently been published in various articles can be inferred.
Galectin-3: A Novel Marker for the Prediction of Stroke Incidence and Clinical Prognosis
Authors: Sayed Ahmed , Munir Malak , Attia Mohamed S. , Alghamdi Badrah S. , Ashraf Ghulam Md , Bahbah Eshak I. , Elfil Mohamed
Published: March 2022

Stroke, whether ischemic or haemorrhagic, is one of the main causes of mortality and disability all over the world, which entails huge burdens in both healthcare environments as well as social and economic aspects of life. Therefore, there is a continuous search for novel reliable biomarkers that can enhance the recognition of stroke events in a timely manner and predict the clinical outcomes following a stroke event. Galectins are a group of proteins expressed by many types of cells and tissues including vasculature, certain immune cells, fibroblasts, and gastrointestinal epithelial cells. These proteins vary in their structure and configuration according to their type and have a diversity of functions according to the type of tissue they are expressed in. Among these proteins, a few studies investigated mainly the roles played by galectin-1 (Gal-1) and galectin-3 (Gal-3) in the molecular mechanisms of atherosclerosis and in brain tissue remodeling after a stroke event. In this review, we present an updated overview of the current understanding of Gal-3’s functions and implications in stroke occurrence and the response of the brain tissue to stroke events, which may be a key to its utility as a predictor of stroke incidence and clinical prognosis in the future.
Research on the Relationship between Employee Mental Health and Enterprise Work Performance
Authors: Yan Ningning
Published: February 2022

Knowledge, capabilities, and quality can be used as three temperatures in employee value-added characteristics in corporate employee performance. They are closely coupled, and knowledge is the basis of ability and quality. The ability is to form and develop in the process of mastering knowledge. The quality is a potential ability. The quality itself is not the ability. Quality is a relatively stable quality and accomplishment formed by internalizing knowledge and skills acquired from the outside into people's body and mind through individual cognition and social practice on the basis of innate physiology and under the influence of acquired environment and psychology. Quality determines whether the employee’s knowledge and ability can function correctly and effectively, and is the director of knowledge capabilities. According to the analysis and learning from scholars of literature employees’ job performance evaluation, we constructed an employee performance evaluation index system of evaluation on the basis of value-based employees. In this system, there are three levels of evaluation indicators. The level indicators are as follows: knowledge of value-added indicators, the ability to add value, and quality index value. These indicators are consistent with the analysis of employee training objectives and psychological quality. In this study, for each level of each indicator we have specific labeling instructions, which is more convenient for the relevant calculations.
Examining the Inheritance of Watermelon Fruit Traits by Hayman’s Graphical Approach
Authors: Rahimi Mehdi , Abdolinasab Maryam
Published: February 2022

Watermelon traits such as yield and other agronomic traits are highly environmentally sensitive and regulated by multiple genes; therefore, by understanding the genetic structure, the heritability and genetic influence of different traits can improve them. Five watermelon lines were crossed in a 5 × 5 full diallel parental design to estimate the genetic effect and heritability of fruit traits. Treatments were evaluated on the farm using a random complete block design. Analysis of the results showed a significant difference between genotypes, which was observed for all the studied traits at the probability level of 1%. Hayman’s graphical method showed that the contribution of the nonadditive effects was more important than that of the additive effect to control most of the traits. Fruit maturation and pericarp thickness traits were regulated by incomplete dominance gene effects, and other traits were regulated by overdominance effects. The trait heritability varied between at least 0.013 and 0.352 for the fruit weight and fruit number, respectively. Results demonstrated that some traits can be modified based on the heterozygosity and production of hybrid variety methods, while the hybrid and selection in an advanced generation method can be suggested in watermelon breeding programs to breed other traits.
Carcinogenic Risk of Pb, Cd, Ni, and Cr and Critical Ecological Risk of Cd and Cu in Soil and Groundwater around the Municipal Solid Waste Open Dump in Central Thailand
Authors: Aendo Paweena , Netvichian Ramnaree , Thiendedsakul Piriyaporn , Khaodhiar Sutha , Tulayakul Phitsanu
Published: March 2022

Several consequences of health effects from municipal solid waste caused by carcinogenic and noncarcinogenic metals have been recognized. The water quality index (WQI) in the groundwater around this landfill is 2945.58, which is unacceptable for consumption. The contaminated groundwater mainly appears within a 1 km radius around the landfill. The metal pollution levels in the soil in descending order were Cu > Cd > Zn=Cr > Pb > Ni. The pollution degree (ER) of Cd was 2898.88, and the potential ecological risk index (RI) was 2945.58, indicating that the risk level was very high. Surprisingly, the hazard index (HI) of Pb (2.05) and Fe (1.59) in children was higher than 1. This indicated that the chronic risk and cancer risk caused by Pb and Fe for children were at a medium level. Carcinogenic risk by oral (CR oral) consumption of Ni, Cd, and Cr in children was 1.4E − 04, 2.5E − 04, and 1.8E − 04, respectively, while the lifetime carcinogenic risk (LCR) of Ni, Cd, and Cr in children was 1.5E − 04, 2.8E − 04, and 2.0E − 04, respectively. In adults, CR oral of Ni and Cr were 1.6E − 03 and 3.0E − 04, respectively, while LCR of Ni and Cr were 1.6E − 03 and 3.4E − 04, respectively, which exceeded the carcinogenic risks limits. Our study indicated a lifetime carcinogenic risk to humans. Environmental surveillance should focus on reducing health risks such as continuous monitoring of the groundwater, soil, and leachate treatment process.
Interference-Aware and Spectral-Efficient Resource Allocation Using Complete Graphs for the D2D Communication
Authors: Sheu Tsang-Ling , Wu Yan-Jing , Chiu Yen-Chieh
Published: March 2022

This paper proposes a heuristic resource block allocation using complete graphs (abbreviated to RACG) mechanism for device-to-device (D2D) communication. RACG not only can reduce the cochannel interference but also can improve the overall system capacity. For RACG, we define two pieces of user equipment in the D2D communication as one D2D pair and use the interference between each D2D pair to establish an interference graph model, which is then used to identify all complete graphs with different numbers of vertices. The innovation of RACG is right that it begins with resource block (RB) allocation for the D2D pairs in the complete graph with the largest number of vertices and considers three additional parameters to determine the allocation sequence for the D2D pairs. The three additional parameters are the frequency at which D2D pairs appear in complete graphs, the interference level of a D2D pair to other D2D pairs, and the number of RBs required. Furthermore, RACG prioritizes the reuse of allocated RB chunks during RB allocation. When a D2D pair and other D2D pairs with allocated RBs do not have mutual interference, the allocated RB chunk that has the closest number of RBs to the number of RBs required is selected and reused. We conduct performance analysis and compare the proposed RACG with a resource allocation of degree-based greedy (RADG) approach. The performance measures include the RB usage rate and occupied rate in a frame.
Optimization of Human Resource Performance Management System Based on Improved R‐Means Clustering Algorithm
Authors: Wang Rui
Published: February 2022

With the rapid development of network technology and database technology, computers have been able to store large‐scale and massive data. On the other hand, traditional data analysis and processing tools such as management information system can only process these data on the surface, but the deeper data analysis ability is not satisfactory. The contradiction between data supply ability and data analysis ability is becoming more and more prominent, so there is an urgent need for an automation technology that can deeply process data. Data mining technology came into being. Cluster analysis, as an important topic in data mining, is a data mining method that divides data into natural groups and gives the description of the characteristics of each group. It is a basic method of data mining and knowledge discovery. Cluster analysis is a data mining technology for unsupervised classification of data without prior knowledge and guidance. Through the appropriate use of advanced algorithms, it can explore the hidden valuable information, improve the quality of data analysis and interpretation, and provide a scientific judgment basis for the reprocessing or understanding of data by other data analysis and sorting tools. First, this paper briefly introduces the principle, development, and methods of cluster analysis and expounds the application of cluster analysis. Then it expounds the principle of R‐means clustering algorithm, analyzes the advantages and disadvantages of basic R‐means clustering algorithm, and expounds several existing improvement methods. An improved R‐means clustering algorithm and a clustering analysis model based on R‐means clustering algorithm are proposed, and the corresponding algorithm flow and implementation are given.
The Stereo Communication Method of Artistic Visual Image Based on CAD Platform
Authors: Gao Kai , Wang Yong
Published: February 2022

Due to the large amount of noise in the image background, the traditional methods have the problems of poor image communication effect, slow image communication efficiency, and poor noise processing effect. A three-dimensional communication method of art visual image based on CAD platform is proposed. Wavelet transform is used to extract artistic visual image features, and the fuzzy clustering method is used to standardize the obtained image feature data. Based on the data processing results, the CAD platform is constructed, the software program is designed, and the image chain coding is realized at the same time. The particle swarm optimization algorithm is used to convey the image of the obtained CAD general vectorization file, so as to complete the three-dimensional transmission of artistic visual image. The experimental results show that the image communication effect of this method is better, the image communication efficiency is higher, the noise suppression effect is better, the visual communication effect of the image is improved, and the performance of the designed method is superior.
Clinical Efficacy of Percutaneous Kyphoplasty Combined with Calcitriol and Calcium in the Treatment of Traumatic Nonosteoporotic Vertebral Compression Fractures
Authors: Dai Shouqian , Lu Xin , Dai Ningning , Shi Xiu , Yang Peng , Peng Peng , Xu Feng
Published: February 2022

Objective. The present study investigated the clinical efficacy of percutaneous kyphoplasty (PKP) combined with calcitriol and calcium in the treatment of traumatic nonosteoporotic vertebral compression fractures (TNVCFs). Methods. The patients were equally divided into a control group and a treatment group by a random number table. The patients in the control group underwent PKP surgery, and the patients in the treatment group received calcitriol and calcium on the basis of PKP surgery. The visual analog scale (VAS) pain scores, Oswestry Disability Index (ODI) scores, the height of the anterior edge of the vertebral body, Cobb’s angle, and the level of the bone mineral density of the two groups of TNVCF patients before surgery were recorded and compared, one and six months after surgery. Results. Thirty-six inpatients with TNVCFs admitted to the trauma center of the First Affiliated Hospital of Soochow University from January 2019 to January 2020 were recruited. There were no significant differences in the VAS and ODI scores, the height of the anterior edge of the injured vertebral body, Cobb’s angle, and bone mineral density between the two groups before surgery (

P
>
0.05

). The VAS scores, ODI scores, the height of the anterior edge of the injured vertebral body, and Cobb’s angle of the two groups of patients after surgery were significantly better than those before surgery. One and six months after surgery, the VAS and ODI scores, the height of the anterior edge of the injured vertebral body, Cobb’s angle, and the bone mineral density of the patients in the treatment group improved significantly compared to those in the control group (

P
<
0.05

). Conclusions. PKP combined with calcitriol and calcium medications could significantly relieve pain, alleviate the loss of compressed vertebral height and kyphosis, and improve the spinal function and the life quality of the TNVCF patients.
Investigations of the Elongational Deformation Induced by Pins in Pin-Barrel Cold-Feed Extruders
Authors: Wang Zhilin , Pan Yiren , Liu Yanchang , Huang Jing , Wang Ning , Hu Xuehua
Published: February 2022

This paper is a study on the elongational deformation induced by pins in pin-barrel cold-feed extruders. The mathematical model is established by using simple flow field, plate model, and Newton constitutive relation. It is proved that there is elongational deformation when the fluid bypasses the pin, and the elongational deformation is quantitatively calculated. The finite element method is used to simulate the flow field of the screw mixing section of the pin-barrel cold-feed extruder with different specifications. The velocity vector nephogram in the simulation results is analyzed by numerical analysis of elongational deformation and compared with the theoretical elongational deformation value. The results show that the simulated and theoretical values of elongational deformation are approximately consistent. The numerical analysis of the key factors affecting the elongational deformation shows that the elongational deformation will gradually increase with the increase of screw diameter. For the screw of the same specification, the increasing helical angle will reduce the elongational deformation, and the increasing rotational speed will linearly increase the elongational deformation in unit time. This study can be used to roughly estimate the elongational deformation induced by pins and establish the mixing theoretical model of the pin-barrel cold-feed extruder.
Prognostic Markers in Hospitalized COVID-19 Patients: The Role of IP-10 and C-Reactive Protein
Authors: Rizzi Manuela , Costanzo Martina , Tonello Stelvio , Matino Erica , Casciaro Francesco Giuseppe , Croce Alessandro , Rizzi Eleonora , Zecca Erika , Pedrinelli Anita , Vassia Veronica , Landi Raffaella , Bellan Mattia , Castello Luigi Mario , Minisini Rosalba , Mallela Venkata Ramana , Avanzi Gian Carlo , Pirisi Mario , Lilleri Daniele , Sainaghi Pier Paolo
Published: March 2022

Background. SARS-CoV-2 is responsible for COVID-19, a clinically heterogeneous disease, ranging from being completely asymptomatic to life-threating manifestations. An unmet clinical need is the identification at disease onset or during its course of reliable biomarkers allowing patients’ stratification according to disease severity. In this observational prospective cohort study, patients’ immunologic and laboratory signatures were analyzed to identify independent predictors of unfavorable (either death or intensive care unit admission need) or favorable (discharge and/or clinical resolution within the first 14 days of hospitalization) outcome. Methods. Between January and May 2021 (third wave of the pandemic), we enrolled 139 consecutive SARS-CoV-2 positive patients hospitalized in Northern Italy to study their immunological and laboratory signatures. Multiplex cytokine, chemokine, and growth factor analysis, along with routine laboratory tests, were performed at baseline and after 7 days of hospital stay. Results. According to their baseline characteristics, the majority of our patients experienced a moderate to severe illness. At multivariate analysis, the only independent predictors of disease evolution were the serum concentrations of IP-10 (at baseline) and of C-reactive protein (CRP) after 7 days of hospitalization. Receiver-operating characteristic (ROC) curve analysis confirmed that baseline

IP
−
10
>
4271
 
pg
/
mL

and

CRP
>
2.3
 
mg
/
dL

at 7 days predict a worsening in clinical conditions (87% sensitivity, 66% specificity, area under the curve (AUC) 0.772,

p
<
0.001

and 83% sensitivity, 73% specificity, AUC 0.826,

p
<
0.001

, respectively). Conclusions. According to our results, baseline IP-10 and CRP after 7 days of hospitalization could be useful in driving clinical decisions tailored to the expected disease trajectory in hospitalized COVID-19 patients.