bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Implementation of Public Physical Education under the Network Environment
Authors: Hong Chao , Ren Jie
Published: March 2022

In order to improve the physical quality of contemporary students, the public physical education teaching of big data technology is introduced to enrich the interest of physical education classroom and improve the enthusiasm of students through targeted teaching means. In this paper, through the big data of students’ physical performance and students’ physical quality, an expert system for physical education curriculum recommendation is established to teach students according to their aptitude and increase the intelligent management of the classroom. The SPSS simulation experiment is carried out according to the big data of students’ physical performance and physical quality. Finally, it is concluded that the system can improve students’ interest in physical exercise, increase the vividness of the classroom, and improve students’ physical quality.
Periodic, Cross-Kink, and Interaction between Stripe and Periodic Wave Solutions for Generalized Hietarinta Equation: Prospects for Applications in Environmental Engineering
Authors: Li Guangping , Manafian Jalil , Seyyedi Mirmehdi , Sivaraman R. , Zeynalli Subhiya M.
Published: March 2022

In the current work, the modified (2 + 1)-dimensional Hietarinta model is considered by employing Hirota’s bilinear scheme. Likewise, the bilinear formalism is obtained for the considered model. In addition, the periodic-solitary, periodic wave, cross-kink wave, and interaction between stripe and periodic wave solutions of the mentioned equation by particular coefficients are offered. The obtained results may be used in the description of the model in fruitful way. Finally, by using the available situations, the physical demeanor of solutions is discussed in the given method. We demonstrated that these solutions validated the program using Maple and found them correct. Moreover, a lot of graphs in some sections to determine the analysis of obtained findings for the aforementioned equation are given. The achieved solutions are also verified by using the Maple software. These periodic wave solutions suggest that these three methods are useful, easy to use, and effective than other methods.
Calculation of Buffer Size on Critical Chain Based on Duration Distribution, Multiresource Constraints, and Relay Potential
Authors: Nie Xiangtian , Zheng Ye , Gu Xin , Su Bo , Wang Bo
Published: March 2022

The setting of the buffer size on critical chain will impose an impact on the determination of the project duration. In order to effectively calculate the buffer size, we have comprehensively taken into account the influence of duration-related risks, multiple resource constraints, and relay potential on the buffer size of key chain in this paper, and we have enhanced the method of calculating the remaining buffer to ensure more reasonable calculation of project buffer. As a result, we can effectively calculate the buffer size in a way closer to the actual production and shorten the project duration.
Biogenic Phytochemicals Modulating Obesity: From Molecular Mechanism to Preventive and Therapeutic Approaches
Authors: Kumar Vikram , Singh Desh Deepak , Lakhawat Sudarshan Singh , Yasmeen Nusrath , Pandey Aishwarya , Singla Rajeev K.
Published: March 2022

The incidence of obesity and over bodyweight is emerging as a major health concern. Obesity is a complex metabolic disease with multiple pathophysiological clinical conditions as comorbidities are associated with obesity such as diabetes, hypertension, cardiovascular disorders, sleep apnea, osteoarthritis, some cancers, and inflammation-based clinical conditions. In obese individuals, adipocyte cells increased the expression of leptin, angiotensin, adipocytokines, plasminogen activators, and C-reactive protein. Currently, options for treatment and lifestyle behaviors interventions are limited, and keeping a healthy lifestyle is challenging. Various types of phytochemicals have been investigated for antiobesity potential. Here, we discuss pathophysiology and signaling pathways in obesity, epigenetic regulations, regulatory mechanism, functional ingredients in natural antiobesity products, and therapeutic application of phytochemicals in obesity.
An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning
Authors: Jiang Miaomiao , Sun Yuwei
Published: March 2022

In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching effect of colleges and universities, and calculate the evaluation effect and accuracy. Cloud computing and deep learning algorithm combine the teaching evaluation scale, teaching content, and characteristics to formulate teaching plans for different students and realize targeted teaching evaluation. The results show that the teaching evaluation method proposed in this paper can improve students’ learning interest by about 30%, enhance learning initiative by about 20%, and the matching rate between the actual teaching effect and the expected requirements is 98%. Therefore, cloud computing and deep learning model can improve the accuracy of teaching effect evaluation in colleges and universities, provide support for the formulation of teaching evaluation schemes, and promote the development of intelligent teaching in colleges and universities.
A Novel Automatic Tracking Method of Moving Image Sequence Marker Points Uses Kinect and Wireless Network Technology
Authors: Chen Guoliang , Wei Lin
Published: March 2022

Sports biomechanics research includes the use of various technical methods to collect various sports biomechanical parameters and variables. Sports biomechanics is one of the branches of sports science, which is a new science for studying sports. In the process of teaching, the Kinect somatosensory camera is used for bone tracking to obtain spatial coordinate information of human nodes, and the teaching data for imitation learning is obtained after preprocessing. This paper builds a general sports auxiliary training system and designs some of the system’s functions in detail, using the advantages of Microsoft’s Kinect collector in image acquisition. The automatic tracking method of sports image sequence marker points is studied in this paper using Kinect. Kinect is used to collect bone point information, establish a virtual coordinate system, obtain each joint vector from the node information, calculate the included angle between the vectors, and then obtain the control angle of each joint, providing data support for imitation representation learning. Count and score this movement based on the distance between the jaw and the crossbar as well as the angle at which the arm bends.
Human-Machine Interface Visual Communication Design Model of Electronic Equipment Using Machine Vision Technology
Authors: Hao Lei , Chung Won-Jun
Published: March 2022

Electronic equipment has high precision, high reliability, high stability, and high security, as well as the ability to adapt to a variety of challenging environments. With the rapid advancement of mechanization, automation, and electronization, the impact of human factors in production is growing, and designers are increasingly concerned about the problem of man-machine coordination. It is critical to have a man-machine interface that is suitable for operators’ thinking and behavior and has a guiding function. The accuracy and timeliness of equipment control are linked to the human-computer interaction interface. The visual characteristics of human cone cells are used to divide the neural visual perception intensity grades. With the visual communication index as the optimization goal, a mathematical model of human-computer interaction interface optimization is established and solved using a genetic algorithm. This method is used to optimize the design of a human-computer interaction interface, and the results show that the visual communication index of the optimized human-computer interaction interface has improved significantly.
Effect of Palonosetron on Physical Symptoms of Surgical Patients: A Systematic Review and Meta-Analysis
Authors: Chu Ruichao
Published: March 2022

Background. Postoperative nausea and vomiting (PONV) is a typical and unpleasant physical symptom that occurs in patients after surgery, and it may be one of the most challenging elements of the recovery process. PONV can be caused by a variety of factors, including surgery itself, anesthesia, or medications. Palonosetron is a medication that is now licensed by the Food and Drug Administration for the treatment of this ailment. The efficacy of palonosetron in reducing physical symptoms in patients following surgery was investigated in this meta-analysis and comprehensive review. Methods. Following a quick search of databases such as CENTRAL, EMBASE, CINAHL, Google Scholar, the Science quotation index’s Web site, the United States clinical trial check-in, the United Kingdom clinical trial check-in, the New Zealand clinical trial check-in, and the Australia check-in, as well as outlines of major anesthesia meetings held in the previous five years, we were able to get a good start on our research. Growing adults who had surgery and were given other drugs were compared to individuals who did get palonosetron in randomized controlled trials. Results. A total of 8324 participants were recruited in 10 different clinical studies. It has been shown that palonosetron may significantly reduce the 24-hour PONV incidence and 95% confidence interval (CI) 0.41–0.86. When comparing the 6-hour and 48-hour time periods, the incidences of experiencing PONV were neither statistically different (RR: 0.82, 95% confidence interval: 0.61–1.09) or considerably different (RR: 0.60, 95% confidence interval: 0.33–1.10). Following in a similar vein, there was no significant difference between the groups in the occurrence of PONV after 48 hours (RR: 0.82, 95 percent CI: 0.59–1.14). The most often reported side effects of the medicine were headaches and dizziness, which were the most common. Regardless of the drug used, the difference in adverse reactions was not statistically significant. Conclusion. When it comes to the prevention of early PONV, it has been shown that palonosetron is more effective than other medications. Palonosetron, on the other hand, has been demonstrated to be more effective than other medications in preventing vomiting after laparoscopic surgery.
Automatic Control of Mobile Industrial Robot Based on Multiobjective Optimization Strategy
Authors: Zhu Ya-Hong , Jiao Jian
Published: March 2022

In order to solve the optimal cascade mobile path selection problem when mobile industrial robots repair network coverage holes, a cascade mobile path selection optimization method considering the number and energy of intermediate cascade nodes is proposed. By calculating the energy availability of intermediate cascade nodes, this method further obtains the energy availability and decisive energy of each path, selects the optimal cascade mobile path from the perspective of multiobjective optimization, effectively balances the energy consumption of each mobile industrial robot, makes full use of the energy of the whole network, and prolongs the survival time of the network. Simulation results show that the optimization method has higher network energy efficiency than the standard cascaded mobile method.
Animation Special Effects Production Method and Art Color Research Based on Visual Communication Design
Authors: Liu Xiaoying
Published: March 2022

In the context of social informatization, the continuous progress of information technology has promoted the emergence and rapid development of new media. In recent years, the interaction between the design of visual communication and the increasingly popular virtual reality, special effects, and animation has constituted a new way of media communication. In the process of producing special effects of interactive animation, in order to improve the visibility of visual communication design works and achieve excellent information transmission effects, it is necessary to utilize many advanced science and technology methods such as visual communication design. This article, firstly, introduces the visual communication design technology, analyzes and introduces the animation special effects design technology, and then investigates and analyzes the application of visual communication design in real life. Experiments in this article show that animation special effects production based on visual communication design can not only save development companies at least 5% of development costs but also attract 15% of the younger age groups. The most important thing is to better promote the spread of animation film and television works.
A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers
Authors: Kibriya Hareem , Amin Rashid , Alshehri Asma Hassan , Masood Momina , Alshamrani Sultan S. , Alshehri Abdullah
Published: March 2022

Brain tumors are difficult to treat and cause substantial fatalities worldwide. Medical professionals visually analyze the images and mark out the tumor regions to identify brain tumors, which is time-consuming and prone to error. Researchers have proposed automated methods in recent years to detect brain tumors early. These approaches, however, encounter difficulties due to their low accuracy and large false-positive values. An efficient tumor identification and classification approach is required to extract robust features and perform accurate disease classification. This paper proposes a novel multiclass brain tumor classification method based on deep feature fusion. The MR images are preprocessed using min-max normalization, and then extensive data augmentation is applied to MR images to overcome the lack of data problem. The deep CNN features obtained from transfer learned architectures such as AlexNet, GoogLeNet, and ResNet18 are fused to build a single feature vector and then loaded into Support Vector Machine (SVM) and K-nearest neighbor (KNN) to predict the final output. The novel feature vector contains more information than the independent vectors, boosting the proposed method’s classification performance. The proposed framework is trained and evaluated on 15,320 Magnetic Resonance Images (MRIs). The study shows that the fused feature vector performs better than the individual vectors. Moreover, the proposed technique performed better than the existing systems and achieved accuracy of 99.7%; hence, it can be used in clinical setup to classify brain tumors from MRIs.
Comparison of Highway Bridge Seismic Design in Europe and China through a Case Study
Authors: Ben Qingguo , Zhu Xiaoning
Published: March 2022

With accumulated experiences of bridge damage learned from past earthquake events, the highway bridge seismic design approach is evolving from time to time. It is important for both China and Europe to learn from each other to improve seismic design approaches. A thorough comparison relating to the seismic hazard level, response spectra, and ductility considerations between Eurocode 8 and the Chinese specification is made in this study. Both of these two specifications are based on performance-based design philosophy. However, the Chinese specification is based more on deformation capacity than on strength. The design approach specified in the Chinese specification is more consistent with experiences obtained from past earthquake events than the method adopted in Eurocode 8. Case study shows that bridge designed in accordance with Eurocode 8 could satisfy the force requirement under earthquake action E1 as specified in the Chinese specification but could not satisfy the displacement requirements under earthquake action E2. It is expected that the method adopted in the Chinese specification could provide conservative seismic design in both aspects of seismic forces and displacements.
Human-Computer Interaction with Hand Gesture Recognition Using ResNet and MobileNet
Authors: Alnuaim Abeer , Zakariah Mohammed , Hatamleh Wesam Atef , Tarazi Hussam , Tripathi Vikas , Amoatey Enoch Tetteh
Published: March 2022

Sign language is the native language of deaf people, which they use in their daily life, and it facilitates the communication process between deaf people. The problem faced by deaf people is targeted using sign language technique. Sign language refers to the use of the arms and hands to communicate, particularly among those who are deaf. This varies depending on the person and the location from which they come. As a result, there is no standardization about the sign language to be used; for example, American, British, Chinese, and Arab sign languages are all distinct. Here, in this study we trained a model, which will be able to classify the Arabic sign language, which consists of 32 Arabic alphabet sign classes. In images, sign language is detected through the pose of the hand. In this study, we proposed a framework, which consists of two CNN models, and each of them is individually trained on the training set. The final predictions of the two models were ensembled to achieve higher results. The dataset used in this study is released in 2019 and is called as ArSL2018. It is launched at the Prince Mohammad Bin Fahd University, Al Khobar, Saudi Arabia. The main contribution in this study is resizing the images to 64 ∗ 64 pixels, converting from grayscale images to three-channel images, and then applying the median filter to the images, which acts as lowpass filtering in order to smooth the images and reduce noise and to make the model more robust to avoid overfitting. Then, the preprocessed image is fed into two different models, which are ResNet50 and MobileNetV2. ResNet50 and MobileNetV2 architectures were implemented together. The results we achieved on the test set for the whole data are with an accuracy of about 97% after applying many preprocessing techniques and different hyperparameters for each model, and also different data augmentation techniques.
Bone Augmentation for Implant Placement: Recent Advances
Authors: Dam Van Viet , Trinh Hai Anh , Rokaya Dinesh , Trinh Dinh Hai
Published: March 2022

There are various advancements in biomaterials and methods for bone augmentation. This article aims to review the recent advances in bone augmentation for dental implants. Relevant articles on bone augmentation for dental implants were searched in PubMed/Medline, Scopus, Google Scholar, and Science Direct published in English literature published between January 1996 and March 2021. Relevant studies on bone grafts for dental implants were included and critically analyzed in this review. Various biomaterials can be used to augment bone for implant placement. Each graft procedure has advantages and disadvantages in each clinical application and needs to choose the graft material with a high success rate and less morbidity.
Paroxysmal Tachycardia Diagnosed by ECG247 Smart Heart Sensor in a Previously Healthy Child
Authors: Jortveit Jarle , Früh Andreas , Odland Hans Henrik
Published: March 2022

Supraventricular tachycardia (SVT) is the most common symptomatic heart rhythm disorder in children and adolescents. ECG recordings of the heart rhythm during episodes is necessary for the diagnosis and for the selection of treatment. However, conventional long-term ECG recording systems may miss the diagnosis due to the disease’s intermittent nature. Novel adhesive patch ECG monitors, like ECG247 Smart Heart Sensor, may represent new important diagnostic tools in children and adolescents with symptoms of heart rhythm disorders. We report a case of tachyarrhythmia in a previously healthy 12-year-old child.
Impact of Wireless Sensor Data Mining with Hybrid Deep Learning for Human Activity Recognition
Authors: Nair Rajit , Ragab Mahmoud , Mujallid Osama A. , Mohammad Khadijah Ahmad , Mansour Romany F. , Viju G. K.
Published: March 2022

Human activity recognition is a time series classification problem that is difficult to solve (HAR). Traditional signal processing approaches and domain expertise are necessary to appropriately create features from raw data and fit a machine learning model for predicting a person’s movement. This work aims to demonstrate how a hybrid deep learning model may be used to recognize human behavior. Deep learning methodologies such as convolutional neural networks and recurrent neural networks will extract the features and achieve the classification goal. The suggested model has used wireless sensor data mining datasets to predict human activity. The model’s performance has been assessed using the confusion matrix, accuracy, training loss, and testing loss. Thus, the model has achieved greater than 96% accuracy, superior to other state-of-the-art algorithms in this field.
Study on Mechanism of Yiqi Yangyin Jiedu Recipe Inhibiting Triple Negative Breast Cancer Growth: A Network Pharmacology and In Vitro Verification
Authors: Sun Xin , Xu Panling , Zhang Fengli , Sun Ting , Jiang Haili , Zhang Mei , Li Ping
Published: March 2022

Background. The present study explores the potential mechanism of Yiqi yangyin jiedu Recipe (YQYYJDR) on triple negative breast cancer via adopting network pharmacology and experimental validation. Materials and Methods. The potential active compounds and target genes of YQYYJDR were screened out from TCMSP database with

OB
≥
30
%

and DL

index
≥
0.18

. The potential pathways and function enrichment were identified from Metascape website. MDA-MB-231 and MDA-MB-468 cells were tested for cell viability, invasion, and apoptosis by in vitro and in vivo experiments. Results. A total of 153 bioactive compounds and 281 target genes of YQYYJDR were retrieved from TCMSP database. The top 5 enrichment pathways of YQYYJDR target genes include pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, proteoglycans in cancer, IL-17 signaling pathway, and platinum drug resistance. 65 target genes were included in the pathway of cancer. Biological function enrichment analysis of 65 genes showed YQYYJDR inhibited tumor growth mainly through apoptotic pathway. In vitro experiments showed that YQYYJDR could inhibit the proliferation and invasion of MDA-MB-231 and MDA-MB-468 cells, arrest cells in S stage, and induce cell apoptosis. YQYYJDR upregulated BAX, caspase3, and cleaved caspase3 expression and downregulated BCL2 expression. In vivo experiments showed that YQYYJDR could inhibit tumor growth. Conclusions. In this study, network pharmacology and experiment were used to explore the mechanism of YQYYJDR on triple negative breast cancer. In vitro and in vivo experiments showed that YQYYJDR could inhibit the growth of triple negative breast cancer and induce cell apoptosis. Apoptosis pathway plays a significant role in the treatment of triple negative breast cancer.
Clinical Effect of Bushen Huoxue Method Combined with Platelet-Rich Plasma in the Treatment of Knee Osteoarthritis and Its Effect on IL-1, IL-6, VEGF, and PGE-2
Authors: Sun Zhengwen , Su Wenwen , Wang Lingyu , Cheng Zuowang , Yang Fengzhen
Published: March 2022

Objective. To observe the clinical efficacy of the Bushen Huoxue method combined with platelet-rich plasma (PRP) in the treatment of knee osteoarthritis (KOA) and its effect on serum and joint fluid interleukin-1 (IL-1), interleukin-6 (IL-6), vascular endothelial growth factor (VEGF), and prostaglandin E2 (PGE-2). Methods. A total of 64 cases of KOA diagnosed and treated from January 2020 to January 2021 were randomly divided into research group and control group, with 32 cases in each group. The control group was treated with PRP, and the research group took the prescription of the Bushen Huoxue method on the basis of the control group. The clinical efficacy was assessed according to the criteria in “the diagnosis and Treatment of osteoarthritis,” osteoarthritis index score and pain visual analogue score (VAS). Serum and articular fluid VAS, IL-1, IL-6, VEGF, and PGE-2 levels were detected by the enzyme-linked immunosorbent assay (ELISA). Results. The clinical effective rate of the research group was 93.8%, which was significantly higher than that of the control group (90.6%). There was no significant difference in the scores of osteoarthritis index between the two groups before treatment, but the scores of both groups decreased after treatment and was lower in the research group than those in the control group. VAS was significantly decreased in two groups after treatment and it was lower in the research group than that in the control group. After treatment, the levels of IL-1, IL-6, and PGE-2 in serum and articular fluid all indexes were decreased, and the levels in the research group were lower than those in the control group. Conclusions. PRP joint cavity injection combined with oral administration of Bushen Huoxue prescription, and PRP joint cavity injection alone can improve the efficacy of KOA, relieve knee pain, and promote the recovery of knee function. The mechanism may be related to the reduction of IL-1, IL-6, VEGF levels, and PGE-2 levels in the serum and joint fluid. However, the efficacy of combination therapy was superior to PRP alone.
A Heuristic-Mixed Genetic Algorithm for Type II Assembly Line Balancing with Multiple Workers in Workstations
Authors: Qian Xiongwen
Published: March 2022

A type II line balancing problem with multiple workers in workstations (mALBP-II) is considered given a total number of workers, group workers, and tasks into workstations so as to minimize cycle time. Different from the manufacturing environment where the traditional assembly line balancing problem (ALBP) rises, manual or semimanual manufacturing enjoys much higher flexibility allowing multiple workers to perform the same set of tasks on workpieces in the same workstation in parallel. The freedom of specifying the number of workers in workstations makes the classic NP-hard ALBP even harder to solve. A heuristic-mixed genetic algorithm (hGA) is therefore proposed to solve the problem. The algorithm minimizes cycle time as its first objective and balances workload among workstations as its second objective. A maximum-utilization heuristic and a bisection search are integrated into the decoding process of hGA so that the optimization of task assignment and worker allocation is accomplished simultaneously. Numerical results and a real-life application demonstrate the efficiency and effectiveness of hGA.
Reporting both length and mass values to quantify body size for amphibians and reptiles
Authors: LIANG TAO
Published: March 2022

Body size is perhaps the most important trait for organism biologists, as it is associated with a myriad of ecological, evolutionary, behavioral, morphological, physiological and life-history aspects (e.g., rates of molecular evolution, metabolic rates, predation, reproduction), and with extinction risk. There are, however, several measures commonly used to quantify organism body size. Within ectothermic tetrapods, the most common measures include snout-vent length (SVL, mostly in lizards), and total length (TL, in most snakes). In endotherms, however, and especially in mammals, body mass is the most common measure of size.
Redescription of Microspio moorei (Gravier, 1911) (Annelida: Spionidae) with inclusion of a taxonomic key for all the species of the genus
Authors: FONSECA-GONZÁLEZ IDALYD , LONDOÑO-MESA MARIO H. , DELGADO-BLAS VÍCTOR H.
Published: March 2022

Microspio moorei (Gravier, 1911), described from Admiralty Bay, King George Island (Antarctic Peninsula), has not been recorded since the original description, based on a single specimen, the holotype. Thus, subsequent comments and observations about the species have been made based only on the original description and with no information on morphological variations of the species. A re-description of this species is presented based on new material collected from a bay near the type locality, with detailed descriptions and illustrations of morphological characters. A key to all species of Microspio Mesnil, 1896 is provided. This research was part of the Colombian Antarctic Program, in collaboration with the Chilean Antarctic Institute (INACH).
Unusual sexually dimorphic head morphology in Lauxaniidae (Diptera: Lauxanioidea)—a new species of the genus Trivialia Malloch from Peru
Authors: GAIMARI STEPHEN D. , SOARES MATHEUS M. M.
Published: March 2022

A new species of the New World genus Trivialia Malloch from Peru is described and illustrated, along with discussion of unusual head morphology in Lauxaniidae. This new species represents an odd case where only a single known species in an otherwise non-dimorphic genus displays extreme sexual dimorphism.
Taxonomy, distribution, and conservation status of a rare arboreal lizard, Bronchocela hayeki (Müller, 1928) (Reptilia: Agamidae) from northern Sumatra, Indonesia
Authors: AMARASINGHE A.A. THASUN , KAMSI MISTAR , RIYANTO AWAL , PUTRA CHAIRUNAS A. , HALLERMANN JAKOB , ANDAYANI NOVIAR , ABINAWANTO A. , SUPRIATNA JATNA
Published: March 2022

Bronchocela hayeki (Müller, 1928) is one of the rarest species of the genus, known only from a handful of museum specimens from five locations in North Sumatra, and often confused with its similar congener, B. cristatella, which occurs widely throughout the Indonesian Archipelago and Peninsular Malaysia. Here, we examined the morphology of B. hayeki based on museum specimens, and redescribe the species based on a freshly collected series near the type locality, as the condition of its neotype is not in a good state. We studied the characters of B. hayeki with a morphometric comparison to its sympatric congener B. cristatella and allopatric congener, B. jubata from Sumatra Island, Indonesia. Based on the current distribution pattern and the apparent threats, we update the conservation status of B. hayeki using IUCN Red List Criteria and propose that it be considered as an Endangered (EN) species endemic of northern Sumatra including Aceh. We also provide a key to the recognized Bronchocela species, based on examined material and literature.
First record of grey bush-cricket Platycleis albopunctata (Goeze, 1778) (Tettigoniidae: Tettigoniini) on the agricultural crops from Trans Himalaya, India
Authors: FAROOQI MOHD KALEEMULLAH , ALI MOHD , AMIR MOHAMMAD , USMANI MOHD KAMIL
Published: March 2022

The study deals with new record of species bush-cricket Platycleis albopunctata (Goeze, 1778) from Kargil, Ladakh, India. The species is reported from fodder (alfalfa) and cereal (barley) crops of Kargil, Ladakh. Illustrations and morphometric ranges of reported species have been provided. All specimens have been deposited in the Zoology Department, Aligarh Muslim University, Aligarh, India.
Analysis of Unsteady Magnetohydrodynamic 3-D Rotating Flow and Transfer of Heat in Carbon Nanotube-Water Nanofluid: An Engineering Application
Authors: Mandal P. K. , Singha A. K. , Kumar B. , Seth G. S. , Sarkar S.
Published: March 2022

We have analysed unsteady Magnetohydrodynamic (MHD) 3-D rotating flow of Carbon Nanotube (CNT) water nanofluid past a stretching surface dealing with thermal radiation mechanism of heat transfer and heat source/sink. The mathematical model consists of a system of non-linear coupled
Partial Differential Equations (PDEs). Numerical solution is obtained and discussed in detail. The influence of flow dominant parameters on the temperature profiles and flow-field are also discussed in detail using tables and graphs. Results are justified by previously published results in
the limiting sense. Various crucial results are obtained, for example, unsteadiness parameter accelerates the fluid velocities in both directions near the sheet and reverse behaviour is noticed away from the sheet. However, fluid rotation causes reduction in primary velocity but it tends to
accelerate secondary velocity near the sheet. Insertion of nanoparticle volume fraction intensifies fluid velocity and attenuates fluid temperature. We also found that multi-Walled Carbon Nanotubes (MWCNTs) offer more resistance for primary skin friction and less resistance for secondary skin
friction when compared with Single-Walled Carbon Nanotubes (SWCNTs).
Effect of Heat Generation/Absorption and Radiation on Two-Dimensional Unsteady Magnetohydrodynamic Heat and Mass Transfer Nanofluid Boundary Layer Flow Over a Permeable Shrinking Sheet
Authors: Reddy Nalivela Nagi , Rao Vempati Srinivasa , Ravindra Reddy B.
Published: March 2022

The objective of this research is to look into the impact of heat generation/absorption and radiation on twodimensional unsteady magnetohydrodynamic forced convection heat and mass transfer nanofluid boundary layer flow over a permeable shrinking sheet. Similarity transformations are
used to translate the governing time-dependent nonlinear PDEs into nonlinear ODEs. The Keller box method is used to solve the transformed equations. The effect of non-dimensional variables is studied and graphically illustrated on velocity, temperature, and concentration. The friction factor,
Nusselt, and Sherwood numbers are also investigated and arranged for different values of Unsteadiness parameter, effective Prandtl number, thermophoresis parameter, magnetic field, Grashof number, Modified Grashof number, Lewis number, Heat Source/Sink, and Suction in tabular form. The velocity
profiles for dual solutions have improved as the Thermal Grashof number and Modified Grashof number have amplified, but the temperature and concentration profiles have shown the reverse pattern. Temperature profiles are increasing as improving the Heat source/sink. The temperature and concentration
profiles decline in the first and opposite pattern in the second solution with improved values of the magnetic field. The findings of this study are very well-acknowledged with current research.
Influence of Exponential Space Based Heat Source on Unsteady Couette Nanoliquid Flow
Authors: Ali Khasim , Rajashekhar Reddy Y. , Balla Chandra Shekar
Published: March 2022

Present article addresses unsteady Couette flow of nanofluid constricted Couette channel under the impression of exponential space based heat source (ESHS) and temperature based heat source (THS). The novelty of the study is to combine the effects of heat sources of type ESHS and THS
to the Couette flow. The governed flow equations are solved employing FEM. The influence of dimensionless quantities such as ESHS, Biot number, variable viscosity and stretching parameter are exposed graphically. From the attained outcomes, it is observed that the profile of temperature rather
than the velocity, in the Couette channel is boosted with ESHS and THS parameters.
Numerical Investigation of Heat Generation and Magnetohydrodynamic Flow of Fluid Over a Shrinking Infinite Long Cylinder Through Porous Medium
Authors: Al-Mdallal Qasem M. , Aman Sidra , Rehman Khalil Ur , Al Sakkaf Laila Y. , Saranya S.
Published: March 2022

The objective of the present study is to observe the magnetohydrodynamic flow and heat transfer for the fluid flow over a shrinking cylinder of time dependent radius in a cylindrical coordinate. The flow is induced by heat generation effect and suction effect on the walls of cylinder. The governing equations modelled in terms of partial differential equation are reduced to ordinary differential equations using suitable similarity transformation variables. A numerical technique, Iterative power series has been employed using Mathematica software to tackle the problem. The two solutions are acquired for momentum and temperature profiles, which never intersect. The physical behavior of the solution has been explored in terms of parametric analysis and graphical demonstration. The skin friction and Nusselt number of practical interests has been acquired and portrayed graphically. Furthermore, for both solutions, the temperature of the fluid rises with the suction and unsteadiness parameters. We also see that when the magnetic force increases, the second solution diminishes. Finally, at a given value of the suction parameter, the two solutions for skin friction coefficient converge to a single solution.
Numerical Study of Marangoni Convection Flow of GO-Nanofluid with H2O–EG Hybrid Base Fluid with Non-Linear Thermal Radiation
Authors: Gupta Ravi , Gaur Manish , Dadheech Praveen Kumar , Agrawal Priyanka
Published: March 2022

Thermodynamic studies of hybrid colloidal fluids are now of interest. Biomedical science, drug delivery system, electronic chips, paint industries and mechanical engineering are some key applications fields. Hence the current investigation is carried out for Graphene Oxide (GO)
nanofluids flow with Marangoni convection over a stretching surface. This investigation is studied under effect of thermal radiation and MHD. The hybrid base fluid is considered with 50-50 percent composition of Water–Ethylene Glycol (H2O–EG). For the numerical
simulation of the flow with fourth ordered Runge-Kutta method suitable similarity solutions used. Numerical solutions with graphical representation are presented. From the reported analysis, it is examined that Graphene Oxide/H2O–EG has better heat transport characteristics
and is therefore reliable for industrial and technological purposes. With increased radiation and temperature ratio parameters, a decrement in temperature curve is noticed for both nanofluids. For enhancing values of volume friction parameter a decreased velocity curve is noted and increment
is noted for temperature profiles for both nanofluids.
Effects of Viscous Dissipation and Thermal Radiation on an Electrically Conducting Casson-Carreau Nanofluids Flow with Cattaneo-Christov Heat Flux Model
Authors: Veera Reddy K. , Venkata Ramana Reddy G. , Chamkha Ali J.
Published: March 2022

The primary goal of this research is to study the Cattaneo-Christov heat flux model on the impacts of mass and energy transit of MHD Casson-Carreu nanofluid through a permeable vertical accelerating plate with Soret and Dufour mechanism. The non-Newtonian fluids flowed over the porous
vertical plate to reach the boundary layer in this investigation. In order to understand the physical model, partial differential equations (PDEs) are used. To get a linked nonlinear set of ordinary differential equations (ODEs), we reduced this set of PDEs by using similarity variables. SHAM,
a spectrum basis technique, was utilized to solve these modified equations to understand the physical significance. A good method is to utilize SHAM to decouple the coupled nonlinear ODE systems and divide them into linear and nonlinear equation sets since this helps to separate the systems.
As a result, the two non-Newtonian fluids (Carreu and Cassin) flow together through the vertical wall and into the boundary layer, where different parameters’ impacts are scrutinized. The current results showed that an upturn in the Casson parameter (β) degenerates the boundary
layer velocity and the total thickness. Upturn in the Weissenberg number (We) on the other hand, raises the velocities and temperatures in both directions. Additionally, increasing the Soret and Dufour parameters sped up the velocity graph.
Magneto-Hydrodynamics Natural Convection and Entropy Production in a Hollow Cavity Filled with a Nanofluid
Authors: Rahmoune Imene , Bougoul Saadi , Chamkha Ali J.
Published: March 2022

In this research work, we present a study of the magnetic field impact on the flow of AL2O3-water nanofluid which results from natural convection that occurs inside a cavity having a particular shape. For this study a monophasic model is used. As resolution of
the different equations which describe the physical phenomenon to be studied is difficult, the use of Ansys-Fluent software appears essential to do this task. An analysis of the impacts of Rayleigh numbers (7.68.104, 1.5.105 and 3.072.105) and Hartmann numbers
(0 to 75) as well as the concentration of nanoparticles expressed as a percentage (0 to 5%) on heat transmission and entropy production was performed. Numerical results obtained confirm that mean Nusselt number and entropy production vary proportionally with Rayleigh number and the particles
concentration and they are inversely proportional to Hartmann number. Based on the results obtained, improvement in thermal performance depends on the nanoparticles concentration. Correlations for Nusselt number expressed as an equation of two variables which are Hartmann and concentration
of the nanoparticles have been proposed to predict the rate of heat transmission inside the enclosure.
Fluid-Structure Interaction Analysis in Natural Convection Heat Transfer Inside a T-Shaped Cavity with a Flexible Baffle
Authors: Ben Hamida Mohamed Bechir
Published: March 2022

The purpose of this paper is to investigate the free convection flow through a flexible baffle in a T-shaped enclosure. This study is established in two-dimensional space. The 2D numerical analysis is performed with Comsol Multiphysics on the basis of the finite element method. The
effect of all parameters influencing the convection heat transfer and the deformation baffle are rigorously studied. Results obtained show that the convection heat transfer and the warp baffle deformation are improved by increasing the Rayleigh and Prandtl numbers. By cons, the convection
heat transfer is reduced by increasing the elasticity modulus of the flexible baffle and increasing the length of baffle. However, the stress over the baffle is improved. The variation of baffle position is not an important factor that affects the convection heat transfer inside the cavity;
by contrast, the stress over the baffle is more important with a higher baffle position.
Carcerality and Education: Toward a Relational Theory of Risk in Educational Institutions
Authors: Dizon Jude Paul Matias , Enoch-Stevens Taylor , Huerta Adrian H.
Published: March 2022

In this paper, we explore the logics underlying the policies and practices within K-12 schools, colleges, and universities that expose students to carceral systems, such as the police and prisons. Educational institutions at all levels have had the latitude to develop the capacity to discipline, surveil, and control students, which reproduce carceral logics within as well as create pathways to carceral systems. However, our scholarly understanding of such phenomena is bifurcated and uneven. While there is an extensive line of research on exclusionary discipline in the K-12 sector, similar scholarship is emergent at the postsecondary level. The goals of this paper are twofold. First, we review the ways in which carcerality informs the development of discipline, punishment, and control structures throughout the K-16 pipeline. Second, we introduce a relational theory of risk as a unified conceptual approach to examine carceral policies and practices in both the K-12 and the higher education sectors. From a relational risk perspective, we argue that carceral practices can be understood as a relationship between educational institutions and students who are perceived to be threats to institutional interests. Engaging with the organizational imperatives that lead to carceral practices, researchers and practitioners can better attend to dismantling racial exclusion in education.
An electrical heating shape memory polymer composite incorporated with conductive elastic fabric
Authors: Li Ting , Sun Jian , Leng Jinsong , Liu Yanju
Published: March 2022

Shape memory polymers (SMPs) are a class of smart materials with large deformation performance and variable stiffness characteristics, and have exhibited great potential in morphing skins. The thermal stimulation of SMPs is one of the hotspots in recent years. Shape memory polymer composites (SMPC) filled with conductive materials are activated by Joule heating without external heating facilities. The existing electro-induced SMPCs filled with conductive materials would limit large tension deformation, cannot be heated in a large area, or damage the heating circuit under cyclic loading. These aspects restrict the application of SMPC for morphing skins. In this work, an electro-induced SMP composite was fabricated by the styrene-based SMP incorporated with conductive elastic fabric (CEF) to remove the limiting factors as much as possible. The thermos-mechanical properties and electro-active characteristics of CEF/SMP composite were systematically investigated. The maximum strain at break of CEF/SMP composites reached 206% at 80°C, exhibiting excellent deformation performance. The resistance remained relatively stable after 50 cycles under 40% tensile strain. Furthermore, the CEF/SMP composite with a dimension of 160×160×3 mm3 was successfully heated above the glass transition temperature, demonstrating the actuating ability with a relatively large region. In general, the CEF/SMP composite is promising for the application of morphing skins.
The Validity and Reliability of the Thanatophobia Scale-Turkish Form: A Psychometric Study Among Nurses
Authors: Yildiz Çifçioğlu Zülfiye , Harmanci Seren Arzu K.
Published: March 2022

Purpose: To examine the validity and reliability of the Thanatophobia Scale-Turkish Form among nurses. Design and methods: This methodological study included 154 nurses. Content and construct validity, item analysis, confirmatory factor analysis, and internal consistency were used to evaluate the data. Findings: The content validity index of the scale was 0.91. Item-total score correlation values varied between 0.453 and 0.718. As a result of the confirmatory factor analyses, one factor was confirmed. Cronbach’s alpha internal consistency coefficient was 0.854. Practice Implications: Thanatophobia Scale-Turkish Form is a valid and reliable tool used to evaluate the fear of death among nurses.
21st Century Neo-Androgyny: What Is Androgyny Anymore and Why We Should Still Care
Authors: Woodhill Bobbi M. , Samuels Curtis A.
Published: March 2022

The notion of psychological androgyny as a research tool loiters on in an incapacitated state. The lack of a general theory and the belief that the biological gender differences are insignificant to non-existent has been the seeds for its de-construction. Over the decades, the testing of ideas associated with androgyny has declined. Indeed, the debates over its usefulness as a construct ended long ago. The judgment nowadays is that debating the constructs of masculinity, femininity, and androgyny as behavioral traits has been long settled, and a contemporary revisiting of androgyny is not warranted. However, from another contemporary viewpoint, if androgyny is to have any future, it needs a new theory devoid of masculinity and femininity. We present a novel theory with the potential to do just that. This article details a new de-gendered theory of psychological androgyny, neo-androgyny, as a candidate to replace traditional models that are now considered outdated and irrelevant. We present five potential factors for inclusion in a de-gendered model: social efficacy, creativity, capability, eminence, and determination. We review these factors concerning the future of androgyny theory.
The Mediating Effects of Psychological Capital and Academic Self-Efficacy on Learning Outcomes of College Freshmen
Authors: Chen Po-Lin , Lin Ching-Hui , Lin I-Hui , Lo C. Owen
Published: March 2022

This study was an investigation of the relationship between past and present learning experiences of first-year college students and of how the psychological capital and academic self-efficacy they had accrued from past learning experiences were correlated with their current learning engagement. Longitudinal data were collected to examine how students’ learning experiences in high school impacted their learning in college. Structural equation modeling (SEM) and bootstrapping techniques were employed in data analysis. Results indicated that psychological capital and academic self-efficacy functioned as mediators between students’ past learning experience and present learning engagement. Overall, the findings highlight the importance of these two psychological constructs and suggest that postsecondary institutions should provide learning environments that support these factors to ensure student success.