bluuebunny/crossref_metadata_2025 huggingface dataset:
GLOBAL ATTRACTIVITY, ASYMPTOTIC STABILITY AND BLOW-UP POINTS FOR NONLINEAR FUNCTIONAL-INTEGRAL EQUATIONS’ SOLUTIONS AND APPLICATIONS IN BANACH SPACE BC(R+) WITH COMPUTATIONAL COMPLEXITY
Authors: KARACA YELİZ
Published: August 2022

Nonlinear functional-integral equations contain the unknown function nonlinearly, occurring extensively in theory developed to a certain extent toward different applied problems and solutions thereof. Nonlinear science serves to reveal the nonlinear descriptions of widely different systems, has had a fundamental impact on complex dynamics. Accordingly, this study provides the basic definitions and results regarding Banach spaces with the proof as well as applications. Besides, proving the existence and uniqueness of the solutions by the Banach theorem is carried out. The existence results of the equations are generally obtained based on fundamental methods by which the fixed-point theorems are frequently applied. Subsequently, the definition of the measure pertaining to noncompactness on Banach space along with properties is presented. Hence, the aim is to study nonlinear functional-integral equations in the Banach space [Formula: see text] using the measure of noncompactness. In addition, the proof of the existence of global attractors and asymptotic stabilities, having at least one solution which pertains to [Formula: see text] is looked into. As the last stage, the definitions of global attractivity and asymptotical stability for equations on Banach space [Formula: see text] are given while proving the existence of solutions and global attractivity. Besides these, the existence and asymptotical stability are proven. Furthermore, the proof of the existence of global attractors and asymptotic stabilities, having at least one solution which pertains to [Formula: see text] for an example nonlinear integral equation has been demonstrated by one example premediated and the existence of blow-up point has been examined in one and more than one points regarding the nonlinear integral equation. The example nonlinear integral equation as addressed in this study has been examined in terms of its blow-up point and asymptotic stability with computational complexity for the first time. By doing so, it has been demonstrated that the existence of blow-up point has been the case in one and more than one points and besides this, the examination of its asymptotic stability has shown that it is asymptotically stable at least in one point, yet has no blow-up point pertaining to [Formula: see text]. This has enabled thorough analysis of computational complexity of the related nonlinear functional-integral equations within the example both addressing dimension of input in Banach space and that of dataset with [Formula: see text] dimension. This applicable approach assures the accurate transformation of the complex problems towards optimized solutions through the generation of advanced mathematical models in nonlinear dynamic settings characterized by complexity.
Ethical deception
Authors: Dayley Chris
Published: August 2022

The use of images of students from traditionally underrepresented racial and ethnic backgrounds in college recruitment materials presents a seemingly difficult dilemma. Should colleges and universities use diversity in recruitment materials to try and attract students from underrepresented racial and ethnic backgrounds even if those images do not accurately represent the amount of diversity at the university? To discover student perceptions relating to this question, I used a mixed-methods approach in which I surveyed 117 students and then interviewed 10 survey participants. Survey and interview questions were based on utilitarian versus deontological ethics with an emphasis on whether exaggerating diversity in recruitment materials is ethl. The results of this exploratory study showed that most students believe using a disproportionate amount of diversity in recruitment materials is unethical. Student participants who identified as a person from an underrepresented racial/ethnic group indicated that it is unethical to exaggerate diversity in recruitment materials at a higher percentage than their white counterparts. This is likely because people from underrepresented backgrounds face a much higher risk of harm from misleading recruitment materials than their white peers.
Review of "Composition and Big Data edited by Amanda Licastro and Benjamin Miller," Licastro, A. & Miller, B. (Eds.). (2021).
Composition and big data
. University of Pittsburg Press.
Authors: Hope Lacy
Published: August 2022

The evolution of digital tools and platforms has ushered in new possibilities for researchers, scholars, and practitioners of rhetoric and composition and adjacent fields like technical communication. These technologies change the ways we can gather, store, and use larger datasets, prompting new discussions on what big data methods look like in the field. The chapters housed in Amanda Licastro and Benjamin Miller's edited collection
Composition and Big Data
investigate the promises, concerns, and areas for further conversation regarding the applications of big data methods in composition-focused research.
Review of "Type Matters: The Rhetoricity of Letterforms edited by Christopher Scott Wyatt and Dànielle Nicole DeVoss," Wyatt, C. S., & DeVoss, D. N. (Eds.). (2018).
Type matters: The rhetoricity of letterforms
. Parlor Press.
Authors: Durazzi Allison
Published: August 2022

Understanding the characteristics of letters---their names, sounds, relations to the other letters, and shapes (aka letterforms)---is at one point in our lives so new that we need elaborate learning aids. But, after decades of reading and writing, letterforms become nearly invisible to most people, despite our daily use of text.
Type Matters: The Rhetoricity of Letterforms
challenges that invisibility.
Review of "Rhet Ops: Rhetoric and Information Warfare edited by Jim Ridolfo and William Hart-Davidson," Ridolfo, J., & W. Hart-Davidson. (2019.)
Rhet ops: Rhetoric and information warfare
. University of Pittsburgh Press.
Authors: Wilkes Lydia
Published: August 2022

Rhet Ops: Rhetoric and Information Warfare
provides a timely set of perspectives on the intersections of digital rhetoric and militarized operations conducted to foment or curtail violence. Rhet ops, shorthand for rhetorical operations, refers to the use of rhetorical theory by state or non-state actors to carry out coordinated military actions (operations). Perennial questions about rhetoric, ethics, and technical and digital communication (i.e., Katz, 1992; Lanham, 1993; Ward, 2014) inform 16 chapters by practitioners and academics who provide analytical and practical insights into "what it means to learn the art of rhetoric as a means to engage adversaries in war and conflict" (Ridolfo & Hart-Davidson, p. viii, emphasis in original). Rhet Ops' focuses on
"the dark side of digital composing"
(Ridolfo & Hart-Davidson, p. 3, emphasis in original)---from GamerGate to ISIS to the seemingly benign digital interfaces we interact with every day---making it especially salient in a time when violence and rhetoric intertwine constantly. Further, editors Ridolfo and Hart-Davidson have curated examples of #RhetOps on Twitter for years which fosters indefinite public tracking of #RhetOps, a move toward accountability.
COVID-19 Diagnosis System Based on Chest X-ray Images Using Optimized Convolutional Neural Network
Authors: Chen Mu-Yen , Chiang Po-Ru
Published: August 2022

It is worth noting that this 21st century has experienced so many economic, social, cultural and political turbulences throughout the world. The 2019 novel coronavirus (COVID-19) outbreak has been regarded by the
World Health Organization (WHO)
as a public health crisis of global concern. Nowadays, the
chest X-ray (CXR)
and
chest computed tomography (CT)
are a more effective imaging technique for diagnosing lung related problems. Deep learning has been more mature in the field of supervised learning, but other areas of machine learning have just started, especially for the areas of unsupervised learning and reinforcement learning. Deep learning has very good performance in speech recognition and image recognition. Using deep learning approaches to diagnose COVID-19 can achieve better cures and treatments. This research presents the data augmentation and L2 regularization approach for transfer learning in several state-of-the-art deep learning models such as VGG16, VGG19, ResNet, and AlexNet, with
Convolutional Block Attention Module (CBAM)
to perform binary classification ( such as normal and COVID-19/pneumonia cases or COVID-19 and pneumonia cases) and also multi-class classification (such as COVID-19, pneumonia, and normal cases) of covid-chestxray-dataset and NIH datasets. In addition, the performance evaluation adopted the confused matrix to evaluate the results of these models. To sum up, the CBAM can improve the accuracy of all deep learning models to achieve better performance in contrast to that without this architecture. The findings can be a reference for the related COVID-19 diagnosis researches especially during the post-pandemic era.
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis
Authors: Nazar Shahsavani Soheil , Fayyazi Arash , Nazemi Mahdi , Pedram Massoud
Published: August 2022

Recent efforts for improving the performance of neural network (NN) accelerators that meet today’s application requirements have given rise to a new trend of logic-based NN inference relying on fixed function combinational logic. Mapping such large Boolean functions with many input variables and product terms to digital signal processors (DSPs) on Field-programmable gate arrays (FPGAs) needs a novel framework considering the structure and reconfigurability of DSP blocks during this process. The proposed methodology in this article maps the fixed function combinational logic blocks to a set of Boolean functions where Boolean operations corresponding to each function are mapped to DSP devices rather than look-up tables on the FPGAs to take advantage of the high performance, low latency, and parallelism of DSP blocks. This article also presents an innovative design and optimization methodology for compilation and mapping of NNs, utilizing fixed function combinational logic to DSPs on FPGAs employing high-level synthesis flow. Our experimental evaluations across several datasets and selected NNs demonstrate the comparable performance of our framework in terms of the inference latency and output accuracy compared to prior art FPGA-based NN accelerators employing DSPs.
An invitation to the promise constraint satisfaction problem
Authors: Krokhin Andrei , Opršal Jakub
Published: August 2022

The study of the complexity of the constraint satisfaction problem (CSP), centred around the Feder-Vardi Dichotomy Conjecture, has been very prominent in the last two decades. After a long concerted effort and many partial results, the Dichotomy Conjecture has been proved in 2017 independently by Bulatov and Zhuk. At about the same time, a vast generalisation of CSP, called promise CSP, has started to gain prominence. In this survey, we explain the importance of promise CSP and highlight many new very interesting features that the study of promise CSP has brought to light. The complexity classification quest for the promise CSP is wide open, and we argue that, despite the promise CSP being more general, this quest is rather more accessible to a wide range of researchers than the dichotomy-led study of the CSP has been.
Conference reports
Authors: Pérez Jorge A
Published: August 2022

In this installment, Helle Hvid Hansen (University of Groningen) and Fabio Zanasi (University College London) report on the 16th IFIP WG 1.3 International Workshop on Coalgebraic Methods in Computer Science (CMCS 2022), which they co-chaired.
1
Electrochemical Property of Solid-State MnO2-Zn Battery with the Combination of Improved Cathode and Solid Electrolyte
Authors: Dedetemo Kimilita Patrick , Yoshimi Yu , Sonoyama Noriyuki
Published: August 2022

Aqueous zinc-ion batteries (ZIBs) are a promising technology that can satisfy the present requirements for battery systems because of their excellent characteristics (e.g., low cost, recurrent availability of zinc metal resources, high chemical/physical stability, and safety). However, the growth of zinc dendrites in alkaline electrolytes makes ZIBs unsuitable for many applications. To address this problem, we developed a novel ZIB using a solid-state electrolyte based on polyacrylamide hybridized with layered double hydroxide (PAM-LDH). The hydrogel electrolyte exhibited an excellent ionic conductivity. The result also indicates that a PAM-LDH electrolyte combined with NH4F-treated MnO2 shows an ultra-high capacity of 354.3 mAh g−1 at a current density of 0.1 A g−1 and an energy density of 484.3 Wh kg−1 at a peak power density of 136 W kg−1 (based on the weight of the cathode). Moreover, the cycle retention of the cell was significantly improved to 88.8% after 1000 cycles compared with that of the untreated MnO2/PAM-LDH/Zn cell (79.5%). These results demonstrate that

F

−

-doped cathode and hydrogel electrolyte can form the foundation for practically usable solid-state ZIBs.
Predicted Impacts of Pt and Ionomer Distributions on Low-Pt-Loaded PEMFC Performance
Authors: Randall Corey R. , DeCaluwe Steven C.
Published: August 2022

Low-cost, high performance proton exchange membrane fuel cells (PEMFCs) have been difficult to develop due to limited understanding of coupled processes in the cathode catalyst layer (CCL). Low-Pt-loaded PEMFCs suffer losses beyond those predicted solely due to reduced catalyst area. Although consensus links these losses to thin ionomer films in the CCL, a precise mechanistic explanation remains elusive. In this publication, we present a physically based PEMFC model with novel structure-property relationships for thin-film Nafion, validated against PEMFC data with low Pt loading. Results suggest that flooding exacerbates kinetic limitations in low-loaded PEMFCs, shifting the Faradaic current distribution. As current density increases, protons travel further into the CCL, resulting in higher Ohmic overpotentials. We also present a parametric study of CCL design parameters. We find that graded Pt and ionomer loadings reduce Ohmic losses and flooding, but individually do not provide significant improvements. However, a dual-graded CCL (i.e., graded Pt and ionomer) is predicted to significantly improve the maximum power density and limiting current compared to uniformly loaded CCLs. This work highlights the importance of accurate transport parameters for thin-film Nafion and provides a pathway to low-cost PEMFCs via precise control of CCL microstructures.
Graphene Oxide/1-butyl-3-Methylimidazolium Tetrafluoroborate Nanocomposite: Synthesis, Characterization and its Application for the Electrochemical Determination of an Antihistamine and Anticholinergic Embramine
Authors: Sengar Manish S. , Saxena Sachin , Satsangee Soami P. , Jain Rajeev
Published: August 2022

This paper discusses the synthesis and application of graphene oxide (GO)/1-butyl-3-methylimidazolium tetrafluoroborate [BMIM][BF4] nanocomposite. The nanocomposite, GO/[BMIM][BF4],was characterized using XRD, XPS, EDX, FESEM, TEM, FT-IR, and Raman techniques. The dispersion of [BMIM][BF4] ionic liquid (IL)in the graphene oxide nanochannels provided remarkable interfacial property to the glassy carbon electrode (GCE) surface. GO/[BMIM][BF4]modified GCE sensor enhanced the anodic peak current intensity of Embramine (EMB), which was found proportional to the drug concentration within the range of 4.9 to 24.7 ng l−1, with a detection limit of 1.5 ng l−1 and the quantification limit of 4.6 ng l−1. The redox behavior at varying scan rates revealed that the electro-oxidation process of EMB at GO/IL/GCE was an irreversible diffusion-controlled process. The applicability of the proposed method was further studied for the successful quantification of EMB in the pharmaceutical formulation and human blood plasma.
Investigation of Dopamine Release on Self-assembled Monolayers by Scanning Electrochemical Microscopy
Authors: Wang Xintong , Tang Lina , Liu Chenhong , Huang Ximing
Published: August 2022

Dopamine, a neurotransmitter, controls many psychological and behavioral activities of the mammalian central nervous system. Over secretion of dopamine can make the body overexcited and lead to mental disorders. Whereas, less secretion can develop Parkinson’s symptoms. Therefore, achieving controlled release of dopamine plays a vital role in life sciences. In this work, two kinds of self-assembled monolayers were prepared by non-covalent and covalent assembly, respectively, to reach the function of dopamine controllable release. After characterization of the two self-assembled monolayers, the release function was well monitored and analyzed by scanning electrochemical microscopy. The result showed that ion pair effect, as well as acids and alkali, would stimulate a steady-state release of dopamine on the non-covalent monolayers. The combined effect of alkali and positive potential would stimulate a steady-state release of dopamine on the covalent monolayers. This work successfully reaches the controllable release of dopamine in vitro, and offers some reference value for this function in vivo.
Ion channels and channelopathies in glomeruli
Authors: Staruschenko Alexander , Ma Rong , Palygin Oleg , Dryer Stuart E.
Published: August 2022

An essential step in renal function entails the formation of an ultrafiltrate that is delivered to the renal tubules for subsequent processing. This process, known as glomerular filtration, is controlled by intrinsic regulatory systems and by paracrine, neuronal, and endocrine signals that converge onto glomerular cells. In addition, the characteristics of glomerular fluid flow, such as the glomerular filtration rate and the glomerular filtration fraction, play an important role in determining blood flow to the rest of the kidney. Consequently, disease processes that initially affect glomeruli are the most likely to lead to end-stage kidney failure. The cells that comprise the glomerular filter, especially podocytes and mesangial cells, express many different types of ion channels that regulate intrinsic aspects of cell function and cellular responses to the local environment, such as changes in glomerular capillary pressure. Dysregulation of glomerular ion channels, such as changes in TRPC6, can lead to devastating glomerular diseases, and a number of channels, including TRPC6, TRPC5, and various ionotropic receptors, are promising targets for drug development. This review discusses glomerular structure and glomerular disease processes. It also describes the types of plasma membrane ion channels that have been identified in glomerular cells, the physiological and pathophysiological contexts in which they operate, and the pathways by which they are regulated and dysregulated. The contributions of these channels to glomerular disease processes, such as focal segmental glomerulosclerosis (FSGS) and diabetic nephropathy, as well as the development of drugs that target these channels are also discussed.
Predictors of Nonadherence to Medications among Hypertensive Patients in Ghana: An Application of the Health Belief Model
Authors: Atibila Fidelis , Donkoh Emmanuel Timmy , Ruiter Rob , Kok Gerjo , Hoor Gill Ten
Published: August 2022

Introduction. Hypertension (HPT) is recognized as a significant public health problem worldwide from a health and economic perspective. This study determined predictors of nonadherence to HPT medications in Ghana using the health belief model. Methods. A cross-sectional descriptive survey employing a quantitative approach was conducted among HPT patients who routinely attend clinics at selected hospitals in the Brong Ahafo region of Ghana. Respondents (n = 399) were recruited using a multistage sampling technique. Results. The prevalence of nonadherence was 63.7% (n = 254). Nonadherence to hypertension medication was associated with lower education status (

p
=
0.009

). In logistic regression analysis, patients with high “perceived susceptibility” and “perceived severity” were more likely to forfeit their HPT medication schedules, while patients with high “perceived barriers” and “cues to action” were less likely to skip their medication. Conclusion. The present study suggests a plausible path to improving medication adherence in this population. Given the high prevalence of nonadherence, policymakers need to urgently design tailor-made health promotion interventions to ensure optimal health outcomes.
Pediatric Benign Fibro-Osseous Lesions of the Nose and Paranasal Sinuses: A Tertiary Hospital Experience
Authors: Al Arfaj Dalia , Alenzi Haifa Lafi , Almomen Ali , Bakri Musab
Published: August 2022

Background. Pediatric benign fibro-osseous lesions of the nose and paranasal sinuses are considered rare neoplastic entities. These fibro-osseous lesions are difficult to accomplish owing to the multifaceted anatomy of the skull base in addition to the closeness to neurovascular configurations. Objective. The study aimed to study different clinical presentations, radiological manifestations, surgical management, and consequences of different benign fibro-osseous lesions in the pediatric age groups. Methods and Settings. This is a case series study of a single-center experience. Results. Four different cases were presented and discussed (osteoma, fibrous dysplasia, and ossifying fibroma. Conclusion. We reported four different cases of osteoma, ossifying fibroma, and fibrous dysplasia. All of these cases were managed endoscopically with no postoperative complications. Endoscopic management is considered highly effective with reduced morbidity. Preoperative radiographic studies are highly essential for diagnosis and operative planning.
Changes in the Neuropeptide Y mRNA Expression in Oncorhynchus mykiss at Different Feeding Frequencies
Authors: Nahayat Mozhdeh , Zakeri Mohammad , Salati Amir Parviz , Qasemi Seyed Ahmad
Published: August 2022

In this study, the relationship between feeding time preference and appetite in Oncorhynchus mykiss with scheduled feeding frequencies was investigated using neuropeptide Y (NPY). Samples (

n
=
288

, initial weight:

38.72
±
2.99

 g) were stocked in three treatments of different feeding frequencies with six replications. Treatments included one feeding time at 09:00 (T1), three feeding times at 09:00, 13:00, and 17:00 (T2), and five feeding times at 09:00, 11:00, 13:00, 15:00, and 17:00 (T3) every day based on 5% of body weight for 30 days. On day 31, each experimental treatment was divided into fed and unfed groups with triplicates. To measure NPY expression, fish were sampled from both groups 15 minutes earlier than feeding hours. In a comparison of the NPY expression in T1 of the fed group, the highest level of NPY occurred at 08:45. In T2, the NPY was maximized at 08:45, 12:45, and 16:45. In T3, the NPY increased significantly at 08:45 compared to the other sampling hours. In T1 and T2 of the unfed group, the highest NPY was recorded at 10:45 and 14:45, respectively. In T3, upward and downward changes in the NPY were observed from 08:45 to 12:45 and from 12:45 to 16:45, respectively. Concerning changes in the NPY levels, the fed groups in the three treatments were significantly different at all hours, except for 08:45. In the unfed groups, significant differences were recorded between the treatments at 10:45 and 14:45. According to the fish appetite, it can be concluded that feeding O. mykiss three times a day at about 4 h intervals may be appropriate.
Valorization of Hazardous Materials along with Biomass for Green Energy Generation and Environmental Sustainability through Pyrolysis
Authors: Chhabria Sarika , Raghavendra Rao A. V. , Naga Lakshmi V. , Patil Pravin P. , Anandaram Harishchander , Bhattacharya Sumanta , Francisca Kalavathi D. , Dhivya A. , Neway Jida Solomon
Published: August 2022

Increased population growth, industrialization, and modern culture create a variety of consequences, including environmental pollution, heavy metal accumulation, and decreasing energy resources. This perilous position necessitates the development of long-term energy resources and strategies to address environmental threats and power shortages. In this study, an investigation into the use of castor seed oil cake and waste tyres as a feed material for the copyrolysis process for yielding maximum oil production was performed. The copyrolysis experiments were performed by changing the mass percentage of waste tyres with oil cake to make different ratios of 100 : 0, 75 : 25, 50 : 50, 25 : 75, and 0 : 100. At 50 : 50 ratio, the maximum positive synergy on oil production was obtained. At that condition, a maximum of 59.8 wt% oil was produced and characterized to analyze its physiochemical properties. The coprocessing of the selected two feed materials enables the stabilization of the oil, as the produced oil has a lower oxygen content with a maximum heating value of 38.72 MJ/kg. The Fourier transform infrared spectroscopy (FTIR) and gas chromatography-mass spectrometry (GC-MS) analysis of the oil showed the existence of aromatic hydrocarbons and phenolic elements. Adding waste tyres to the biomass improved the quality of the oil by increasing carbon content with reduced oxygen content.
Relationship between Tennis Sports Ability Consumption and Sports Characteristics Based on the Fusion Sensor Internet of Things
Authors: Fu Ming , Zhong Qun , Dong Jixue
Published: August 2022

In recent years, under the promotion of social informatization and knowledge economy, sports undertakings have accepted and introduced information technology. It has begun to move forward on the road of sports informatization. The purpose of this paper is to study the relationship between the consumption of tennis exercise ability and movement characteristics of the fusion sensor Internet of Things and introduce the related concepts of sensors and the Internet of Things, as well as the related meanings of tennis exercise ability consumption and movement characteristics. The development of real-time sports data monitoring network has become the core of informatization. It first extracts information from a large amount of data that is helpful for making scientific management decisions for athletes and then formulates scientific management decisions for sports training. Finally, the goal of improving the technical and tactical level of athletes is achieved through various intelligent equipment or manual control measures. A survey was conducted on eight boys who like tennis, and the results showed that when r = 0.34, the midfielder draws and blocks the ball and was weakly related to the energy in the recovery period; r < 0.3 midfield jump kill; total energy consumption during exercise and energy consumption in recovery period were almost irrelevant. The backcourt smash r = 0.533, indicating that the backcourt smash was moderately positively correlated with the energy consumption during the recovery period; the backcourt smash r = 0.826, indicating that the backcourt smash was highly positively correlated with the energy consumption during the recovery period.
COVID-19 Vaccine Acceptance Level in Ethiopia: A Systematic Review and Meta-Analysis
Authors: Sahile Addisu Tadesse , Gizaw Girma Demissie , Mgutshini Tennyson , Gebremariam Zewdu Minwuyelet , Bekele Getabalew Endazenaw
Published: August 2022

Background. The coronavirus disease 2019 pandemic has had a devastating impact on the everyday lives of the world’s population and to this end, the development of curative vaccines was upheld as a welcome panacea. Despite the undeniable negative impact of the disease on human beings, lower than expected proportions of people have taken up the vaccines, particularly in the developing non-Western world. Ethiopia represents an interesting case example, of a nation where COVID-19 vaccine acceptance levels have not been well investigated and a need exists to assess the overall level of vaccine acceptance. Methods. A systematic multidatabase search for relevant articles was carried out across Google Scholar, Web of Science, Science Direct, Hinari, EMBASE, Boolean operator, and PubMed. Two reviewers independently selected, reviewed, screened, and extracted data by using a Microsoft Excel spreadsheet. The Joanna Briggs Institute prevalence critical appraisal tools and the modified NewcastleOttawa Scale (NOS) were used to assess the quality of evidence. All studies conducted in Ethiopia, reporting vaccine acceptance rates were incorporated. The extracted data were imported into the comprehensive meta-analysis version 3.0 for further analysis. Heterogeneity was confirmed using Higgins’s method, and publication bias was checked by using Beggs and Eggers tests. A random-effects meta-analysis model with a 95% confidence interval was computed to estimate the pooled prevalence. Furthermore, subgroup analysis based on the study area and sample size was done. Results and Conclusion. After reviewing 67 sources, 18 articles fulfilled the inclusion criteria and were included in the meta-analysis. The pooled prevalence of COVID-19 vaccine acceptance in Ethiopia was 57.8% (95% CI: 47.2%–67.8%). The level of COVID-19 vaccine acceptance in Ethiopia was at a lower rate than necessary to achieve herd immunity. The highest level of vaccine acceptance rate was reported via online or telephone surveys followed by the southern region of Ethiopia. The lowest vaccine acceptance patterns were reported in Addis Ababa.
The Comfort Analysis Model Design of the Ground Light Environment of a Dome Reflective Badminton Court in a University
Authors: Ding Xiujuan , Wang Lichao , Wu Chao
Published: August 2022

School sports is an important part of sports. The participants are mainly school students. Students play an important role in the development of the country. The development of campus sports is particularly important for the future development of the country. With the continuous improvement of the level of sports technology, to achieve higher, faster, and stronger sports goals, the requirements for sports venues continue to increase. To study whether the environment of the school’s badminton court meets the requirements of the school’s teachers and students to exercise and whether it can achieve the purpose of improving their own sports skills, the above problems are studied. Through the analysis of the light environment in the school grounds, to judge some problems existing in the badminton field of the school, improvement measures are put forward through research, and feasibility analysis of the improvement measures is carried out.
Gender Difference in Food Choice and Eating Practice and Their Association with Health among Students of Kathmandu, Nepal
Authors: Dahal Maginsh , Basnet Alisha , Khanal Sudip , Baral Kushalata , Dhakal Smriti
Published: August 2022

Background. Our eating practice is generally based on the food we choose to eat. The selection of unhealthy food, high cost of healthy food items, and easy availability of fast food may have negative impact on our health and eating behaviour. This study aims to access the gender difference in food choice and eating practice and their association with health among students in Kathmandu, Nepal. Methods. A cross-sectional descriptive study was conducted among 385 randomly selected undergraduate BBA (Bachelor in Business Administration) students of Tribhuvan University in Kathmandu by using semistructured self-administered questionnaire. The questionnaire included sociodemographic characters, health status, behaviour factors, eating practice, and food choice which were measured using Food Choice Questionnaire (FCQ). The data was analysed in SPSS. Frequency, percentage, mean, and standard deviation were calculated, and chi-square test and logistic regression were used to measure the association between two variables. Results. The study is comprised of 50.4% female and 49.6% male with mean ages of 20.04 and 20.75, respectively. A gender difference was observed in food choice but no gender difference was observed in eating practice. There was no significant association of food choice and eating practice with health. However, food choice and eating practice showed an association with the current living status of the respondents. Sensory appeal and health were the most important food choice motives among males and females, respectively. Conclusion. The study concluded that no gender difference was observed in food choice. However, gender difference was observed in eating practice. There was no association of food choice and eating practice with health.
Study on the Mechanism of Huanglian Jiedu Decoction in Treating Dyslipidemia Based on Network Pharmacology
Authors: Gong Zhaohui , Li Rong , Chen Shulin , Wu Hui , Cai Yinhe , Li Junlong , Zhao Xinjun , Chu Qingmin , Luo Chuanjin , Qing Lijin , Li Nan , Wu Wei
Published: August 2022

Objective. This study aimed to determine the active ingredients of Huanglian Jiedu decoction (HLJDD) and the targets for treating dyslipidemia through network pharmacology to facilitate further application of HJJDD in the treatment of dyslipidemia. Methods. Potential drug targets for dyslipidemia were identified with a protein-protein interaction network. Gene ontology (GO) enrichment analysis and KEGG pathway analysis were performed to elucidate the biological function and major pathways involved in the HLJDD-mediated treatment of dyslipidemia. Results. This approach revealed 22 components, 234 targets of HLJDD, and 221 targets of dyslipidemia. There were 14 components and 31 common targets between HLJDD and dyslipidemia treatment. GO enrichment analysis showed that these targets were mainly associated with the response to DNA-binding transcription factor activity, lipid localization and storage, reactive oxygen species metabolic process, and inflammatory response. The results of KEGG analysis indicated that the AGE-RAGE, NF-κB, HIF-1, IL-17, TNF, FoxO, and PPAR signalling pathways were enriched in the antidyslipidemic action of HLJDD. Conclusion. This study expounded the pharmacological actions and molecular mechanisms of HLJDD in treating dyslipidemia from a holistic perspective, which may provide a scientific basis for the clinical application of HLJDD.
Data Collection and Analysis in Sports Practice Teaching Based on Internet of Things Technology
Authors: Yang Li
Published: August 2022

Since entering the new century, people’s living standards have been continuously improved, living conditions have been continuously improved, which is the embodiment of the improvement of the country’s comprehensive strength, the increase in national strength has made the development of sports faster and faster, and the annual output value of sports is also increasing year by year. However, there are still many places that do not pay attention to practical content; in view of these problems, we use the Internet technology to collect and analyze the data of sports practice teaching; in this chapter paper, we use the 2SPLM observation matrix method and CS-MDGA algorithm, so that the collected sports practice teaching data is more quick and convenient to be analyzed. This paper also uses a large number of chart data to confirm the correctness and accuracy of their views, making the paper more reliable. The study shows that the teaching of physical education in China is increasing year by year, indicating that the teaching of physical practice in China is developing in a better direction. The mathematical modeling in the abstract section of the article uses computational methods such as constrained nonnegative matrix decomposition and constrained nonnegative matrix decomposition model optimization algorithm that integrates external information for research.
Organic Amendments: Direct Application and Residual Effects on Vegetative and Reproductive Growth of Hot Pepper
Authors: Berhe Dargie Tsegay , Zergaw Yohannes , Kebede Temesgen
Published: August 2022

The high production potential of coffee and animals in the Gedeo zone that could produce huge amounts of coffee pulp and animal manure wastes has been polluting the environment. In this sense, this study was aimed at averting pollution and managing plant and animal wastes, focusing on the effect of coffee pulp and animal manure in the form of vermicompost, biochar, and ordinary compost on hot pepper vegetative and reproductive growth. A 15 ton per hectare of each treatment was applied in a randomized complete block design replicated three times. Vegetative and reproductive growth parameters (plant height, leaf number, number of branches, days to 50% flowering, total fresh biomass, number of fruits per plant, single fruit length, and fruit yield per hectare) were recorded, and the statistical difference was determined at 5% significance level using R-program. The result showed that there was a significant difference among treatments. Coffee pulp vermicompost prepared using Eisenia fetida earthworm had significantly (P<0.05) higher results in plant height, leaf number, number of branches, total fresh biomass, number of fruits per plant, single fruit length, and total yield, while the minimum values were recorded in topsoil (control treatment) and animal manure compost. The direct and residual effects of vermicompost and biochar organic amendments were the potential organic fertilizers for hot pepper fast growth and to produce enormous yield, which might be due to their nature in improving soil physicochemical and biological properties as well as nutrient uptake.
Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation
Authors: Ch Santhan Kumar , Karuppiah N. , Praveen Kumar B. , Shitharth S. , Dasu B.
Published: August 2022

The modern microgrid is designed to withstand various disruptive events that have a high probability of occurrence but have a low impact on the system. This improves the reliability of the system but does not take into consideration the disruptive events that have a low probability of occurrence but have a large impact on the system, such as extreme weather or natural disasters. Redesigning a microgrid to withstand low probability high impact events is very costly and is not a feasible solution to existing microgrids. This paper proposes a method to improve the resilience of an existing microgrid to quickly recover from low probability high impact events. The method used for this purpose is a combination of Monte Carlo simulation and prioritization of load of the microgrid. The efficacy of the method is examined by modeling microgrids using a fragility model. Using the proposed novel resilience index, the resilience of the IEEE 5-Bus system and IEEE 14-Bus system and the effect of load shedding on the resilience of the microgrid are analyzed and presented. The effect on smaller and larger grids and their resilience is examined. A novel resilience index is used to quantify the improvement of resilience of the proposed method when compared to other methods available in the literature.
English Long Sentence Segmentation and Translation Optimization of Professional Literature Based on Hierarchical Network of Concepts
Authors: Shao Di , Ma Rui
Published: August 2022

The structure of English long sentences is generally complicated, with complicated logical levels, many parallel elements, many modifiers and conjunctions, and long post attributives. Moreover, pronouns in English long sentences often need to be judged according to the context. Complex English long sentences are very common in English and even run through the whole English article. The analysis results of these complex long sentences will seriously affect the quality and readability of machine translation. In this paper, HNC (hierarchical network of concepts) method is improved to realize the segmentation of long sentences, so as to simplify sentence patterns. According to the characteristics of professional literature, this paper puts forward a translation optimization method of professional literature combining HNC with statistics, which greatly improves the recognition efficiency of unknown words by extracting professional terms. The results show that the word segmentation method based on HNC and statistics proposed in this paper has achieved a good word segmentation effect in the open test environment, with an accuracy rate of 93.38% and a recall rate of 94.51%. The conclusion shows that our method can make full use of the knowledge of the source tree database, thereby improving the accuracy of the syntactic model on the target tree database.
A Case of Poisoning with Abrus precatarius Complicated with Bilateral Basal Ganglia Haemorrhage
Authors: Rajaratnam Arun , Dissanayake Kishan , Kularatne Kiertie , Bowattage Sunil
Published: August 2022

Abrus precatarius is a tropical climber, whose seeds contain abrin, which is known to cause toxicity in humans. We report a case of a young girl, who presented with haemorrhagic enterocolitis, bilateral septal vein thrombosis, and basal ganglia haemorrhage leading to seizures and coma, following ingestion of toxic A. precatarius seeds. To the best of our knowledge, this is the first ever case to describe such an intracranial complication of abrin poisoning.
High‐Voltage Topological Architecture‐Based Energy Management Strategy of the Plug‐In Hybrid Powertrain System
Authors: Zhao Ziliang , Zhao Jun , Guo Bin , Lai Rifei
Published: August 2022

Hybrid technology (including plug‐in hybrid) integrates the advantages of traditional automobile technology and pure electric technology, which can greatly reduce fuel consumption and improve emissions. It has become one of the main technologies developed at present and in the next 15∼20 years. Energy management is the core algorithm of hybrid electric vehicle control strategy, and it is the focus of current research. However, these studies mainly focus on the high efficiency of control assembly, optimal management of power system energy, and maximum recovery of renewable energy but have not considered energy distribution management and optimization between the power battery and the low‐voltage battery. Hence, based on the high‐voltage topology of the plug‐in hybrid system, this paper proposes the optimal energy management strategy between the power battery and the low‐voltage battery under different working conditions. The charging and discharging characteristics of the power battery under different electric quantities are also combined. The experimental results show that based on the optimized energy management strategy, the pure electric driving range is increased by 6% under NEDC condition for a C‐class plug‐in hybrid car, and the energy‐saving effect of the vehicle is further improved.
Analysis of the Impact of Ecological Innovation and Green Investment on China’s CO2 Emissions
Authors: Jiang Weiwei , Wang Xi , Wu Xuefeng
Published: August 2022

In order to effectively address or eliminate the impact of CO2 emissions, it is crucial to conduct a CO2 emissions evolution analysis using a green investment model. Ecological innovation helps to limit carbon dioxide emissions, which is crucial to resource distribution and effectively summarizes the regularity and innovation of the process of limiting carbon dioxide emissions. Under the condition of fully grasping the principles of low‐carbon city development and related policy protection, find a suitable low‐carbon city development model. This paper analyzes the impact of ecological innovation and green investment on carbon dioxide emission limitations by building a data analysis model. The results of the case analysis show that the impact of the green investment scale on Chinese carbon dioxide emission restrictions is an inverted U‐shaped relationship. The scale of green investment, economic competition, and marketization of capital allocation has a negative impact on Chinese carbon dioxide emissions, while green investment and ecological innovation have a positive effect on the green and low‐carbon development of the Chinese economy.
Comprehensive Curative Effect of Targeting PD-1 or Traditional Single-Agent Chemotherapy in Second-Line Therapy for Terminal or Metastatic Esophageal Cancer: A Systematic Review and Meta-Analysis
Authors: Wang Yidan , Yang Qiuxing , Liu Jia , Shen Xiying , Tai Guomei , Gu Hongmei
Published: August 2022

The number of programmed cell death protein 1 (PD-1) inhibitors is gradually increasing; this study aimed to comprehensively and systematically evaluate the impact of PD-1 inhibitors as second-line therapy for terminal or metastatic esophageal cancer (EC) on patient survival and the occurrence of adverse events. Suitable randomized controlled trials (RCTs) were retrieved from PubMed, Web of Science, Embase, and Cochrane Library databases. Moreover, we searched for conference abstracts from the American Society of Clinical Oncology (ASCO) and the European Society for Medical Oncology (ESMO) to compare the comprehensive curative effects of PD-1 inhibitors or single-agent therapy in terminal or metastatic EC. The primary outcome indicators were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). Treatment-related adverse events (TRAEs) were the secondary outcome indicators. We compared the previously mentioned indicators of the two treatment modalities using Stata software (version 12.0). We compared the long-term survival rates of both treatment groups and analyzed the possible factors affecting OS. We selected five RCTs with 2197 patients as study subjects. Compared with conventional single-agent chemotherapy, PD-1 inhibitors greatly improved the patients’ OS (HR = 0.77, 95% CI 0.70–0.85,

P
<
0.001

), but PFS (HR = 0.93, 95% CI 0.77–1.12,

P
=
0.431

) and DCR (RR = 0.93, 95% CI 0.71–1.22,

P
=
0.609

) were not greatly improved. Moreover, PD-1 inhibitors improved ORR (RR = 1.83, 95% CI 1.16–2.89,

P
=
0.009

) and decreased TRAEs (RR = 0.76, 95% CI 0.61–0.95,

P
<
0.001

) and serious TRAEs (RR = 0.40, 95% CI 0.32–0.49,

P
<
0.001

). Further analysis demonstrated that OS was affected by age, sex, region, smoking history, and the number of organ and lymph node metastases. Compared with the traditional single chemotherapy drugs, PD-1 inhibitors can achieve higher OS and ORR, fewer and more serious TRAEs, and better efficacy and safety for second-line therapy of terminal or metastatic EC.
Position Deployment Optimization of Maneuvering Conventional Missile Based on Improved Whale Optimization Algorithm
Authors: Li Yaxiong , Zhang Xinwei , Zhao Jiufen , Yang Xinzhi , Xi Mingyuan
Published: August 2022

To reasonably allocate mobile conventional missile battle positions and improve the survivability and combat effectiveness of the missile weapon system, a missile position deployment optimization design model based on Mixed-Integer Nonlinear Programming (MINLP) is established. First, for the multilevel position network, an optimization model with the goal of maximizing the viability is established, and a two-stage solution method is proposed. Second, the whale optimization algorithm (WOA) is improved, and the convergence factor which changes nonlinearly with the number of evolution is introduced to coordinate the local development and global search ability of the algorithm. The diversity mutation operation is carried out on the optimal individual to reduce the probability of premature convergence of the algorithm, and the improved whale algorithm is used to solve the optimization model. Finally, the performance of the improved algorithm is verified by example analysis and simulation experiments, which provides a reference for the deployment mode of mobile missile positions.