bluuebunny/crossref_metadata_2025 huggingface dataset:
Creative Effect of Film and Television Advertising Based on Digital Media Interactive Technology
Authors: Feng Ting , Wang Chengfei , Chen Ce
Published: September 2022

Advertising creativity is the product of creative activities in modern advertising operations, and it is an extremely effective and creative way of communicating advertising information. A film and television advertisement without novelty and creativity, no matter how much funds are invested, only consumes financial resources and even causes the audience to be bored. At present, there are some problems in the creativity of film and television advertisements, such as random combination, lack of core ideas and soul, and high cost of good creativity. With the rapid development of communication technology, traditional media interaction methods can no longer meet people’s needs, and digital media interaction technology has emerged. This technology greatly enhances the dissemination and interaction of the media and has been widely used in the creation of film and television advertisements. Therefore, this paper uses digital media interaction technology to improve the creative effect of film and television advertising so as to promote consumers to make decisions, complete the purchase behavior, and shorten the entire link from advertising notification to action conversion. This article aims to find the possibility for the application of digital media interaction technology in the creation of film and television advertisements and to promote the creation of film and television advertisements to develop in a new direction. Experiments show that under the background of digital media interaction technology, users’ favorite degree of film and television advertisements has increased by 9%, reaching 90%. This further shows that after a series of digital media interactions, film and television advertisements can often capture the hearts of the audience more accurately, and then provide users with just-right services.
Robust Fault-Tolerant Control of Continuous Lurie Networked Control Systems Based on the Observer with the Event-Triggered Mechanism
Authors: Wang Yanfeng , Hou Yuqin , Shao Guoyou , Tang Youliang , Wang Peiliang
Published: September 2022

For a class of uncertain continuously networked Lurie control systems with both sensor-to-controller time-delay and controller-to-actuator time-delay, the problem of codesigning its observer and fault-tolerant controller based on an event-triggered mechanism under actuator failure is investigated. Firstly, considering that the state of the system cannot be measured directly, an observer is constructed on the controller node. Secondly, to reduce the waste of network bandwidth resources and improve the performance of the network control system, a network control system approach based on event-triggered mechanism is proposed. By introducing the event-triggered mechanism and the actuator fault indication matrix, the Lurie networked control system is modeled as a Lurie system with time-delay using the state augmentation technique to obtain a model of the closed-loop system. Finally, based on Lyapunov stability theory, sufficient condition for the stability of the closed-loop system is obtained, and the design method of the fault-tolerant controller and the observer is given. The obtained results are given in the form of linear matrix inequalities, which are easy to be solved by using the linear matrix inequality toolbox. Finally, the feasibility and effectiveness of the method are illustrated by a simulation example.
Synthesis, Characterization, and Photocatalytic Activity of Mixed-Ligand Cerium(III) and Bismuth(III) Complexes
Authors: Latif Shoomaila , Saeed Maimoona , Imran Muhammad , Javaid Ayesha , Hira Uzma , Mitu Liviu
Published: September 2022

Two ternary complexes (Ce(sal)3(phen)2) (1) and (Bi(sal)3(phen)2) (2) with salicylic acid (sal) and 1,10-phenanthroline (phen) have been synthesized and characterized by analytical techniques such as UV-visible spectroscopy, FT-IR spectroscopy, PXRD, and SEM. The UV-visible study indicated the shifting of peak positions of metal complexes compared with the individual ligands whereas FT-IR analysis demonstrated that the metals were successfully coordinated with different functional groups of the ligands. The photocatalytic properties of prepared complexes were evaluated against Congo red dye as a model pollutant under ultraviolet and sunlight irradiation. The degradation efficiency of complex (2) was greater than that of complex (1). The results indicated that the investigated complexes can be employed as potential candidates for photocatalytic breakdown of synthetic dyes and can be safely recommended for environmental remediation.
Education Evaluation Management Based on Blockchain Technology
Authors: Ouyang Sha , Huang Xinjing
Published: September 2022

In view of the problems related to the current education evaluation process, such as single evaluation index, unremarkable subject evaluation, inadequate implementation of education management measures, and low recognition of the results of education evaluation, particularly in China, more research is needed to ensure appropriate educational management. Security of the evaluation metrics and communication among institutes is very essential to ensure the education quality. In this paper, we adopt the blockchain technology to evaluate the current education. All-round evaluation of quality makes the whole process of education evaluation transparent and open and solves the defects existing in the process of education evaluation. The blockchain technology establishes a management mechanism for educational evaluation by cooperating with educational institutions and promotes the implementation of quality measures, as well as the implementation of policies. Furthermore, this provides a blockchain information data platform for educational evaluation and prevents the information from being tampered with, either in decentralized or centralized systems, thereby promoting the development of education along with quality. The attained results show that the proposed system can reduce the burden of information on the storage system significantly when compared to other traditional evaluation systems.
The Extended MOORA Method Based on Fermatean Fuzzy Information
Authors: Shahzadi Gulfam , Luqman Anam , Ali Al-Shamiri Mohammed M.
Published: September 2022

The intelligent manufacturing system (IMS) is a framework that improves productivity by organizing the logical features involved in manufacturing. The procedure of intelligent manufacturing owns the capability to self-control the manufacturing of the products according to the specifications of design. Different IMSs are designed to deal with continuous changes in market which can adjust to make the modified environment easier. The central idea of this research article is to select an IMS that can adapt the updated situations faster than the existing competing systems and provide higher benefits in utilizing new possibilities. To select such IMS, the applicability of multiobjective optimization on the basis of the ratio analysis (MOORA) method has been explored using Fermatean fuzzy sets. The Fermatean fuzzy aggregated weighted operators are used to construct the decision matrices. Then, the ratio analysis-based MOORA method is developed to accomplish the ranking of under consideration IMSs. Furthermore, the conversion of qualitative attributes into quantitative attributes has been performed using Fermatean fuzzy numbers (FFNs). Finally, a brief comparative analysis of the developed technique with existing models is narrated to reveal the flexibility of the Fermatean fuzzy MOORA method.
Study  on Diversified Evaluation of Residential-Type Historical and Cultural Blocks in Guangzhou
Authors: Ma Yue , Li Pengnan , Li Nan , Wang Zhongwei
Published: September 2022

Historical and cultural blocks contribute to urban cultural construction in a very significant way. Regardless of their specific types, historical and cultural blocks not only add brilliance to the cultural heritage of cities but also take on more urban responsibilities through actively expanding their use values. This perfectly embodies the diversified protection and development of traditional blocks. In discussing the diversified development achievements of a block, its users usually have the most since their behaviors are closely related and mutually interactive with block environments. In this sense, collecting user evaluations helps to identify the diversified development status of a block from the inside and explore more values. Considering that the residential-type historical and cultural blocks in Guangzhou have realized diversified development in terms of location values, function expansion, and user integration, this paper takes two typical blocks in the city for a case study and performs user evaluation analysis. Evaluation data are collected through traditional questionnaire surveys and text mining to expand the scale of access to information and enhance data flexibility. An evaluation index set is established for residential-type blocks by discussing the achievements of the diversified block developments and extracting the key factors of block environments based on data analysis. The research results of this paper provide a basic framework for the in-depth analysis of blocks and evaluation models building and offer suggestions of protection and design for other blocks.
Systematic Risk Analysis of Semiconductor Global Market Based on Deep Feature Fusion K-Means Algorithm
Authors: Qiu Wenjie
Published: September 2022

As the global semiconductor industry has entered a new round of rapid growth, it has also entered a golden cycle of economic growth. Semiconductor companies increase their intrinsic value through financing, industry mergers and acquisitions, and venture capital searches. At the same time, market investors pay more attention to the intrinsic value of companies when looking for good investment targets. Therefore, the systematic risk assessment of the global semiconductor market has become a common concern of market investors and corporate management. In this context, this paper found a method that can assess the systemic risk of the semiconductor global market, which is to use the K-means algorithm based on deep feature fusion. This paper analyzed the algorithm in depth, analyzed the quantum space of tensors, and used the definition of cluster fusion to obtain the relationship between the projection matrices U and V. Experiments were carried out on the improved algorithm, and market research was conducted on a multinational semiconductor company A, which mainly included the basic statistics of the rate of return and the ACF and PACF coefficients of the rate of return series. Finally, the stock risk comparison of company A and company B in the same period was carried out. The experimental results showed that comparing the three items of compound growth rate, coefficient of variation, and active rate coefficient, the highest compound growth rate was 0.41, which came from Category 2, the highest variation coefficient was 2.31, which came from Category 10, and the highest active rate coefficient was 1.78, which came from Category 9. The experimental content was completed well.
Abdominal Massage Improves the Symptoms of Irritable Bowel Syndrome by Regulating Mast Cells via the Trypase-PAR2-PKCε Pathway in Rats
Authors: Li Huanan , Zhang Wei , Ma Fei , Zhang Xiaofan , Wang Yuyan , Wang Jingui
Published: September 2022

Background. Irritable bowel syndrome (IBS) is a clinical disease mainly characterized as a syndrome of abdominal pain and discomfort, which frequently occurs in humans aged 20–50. Abdomen massage is of great medical significance for the health of the human body, including promoting intestinal peristalsis, relieving constipation, and facilitating weight loss. However, its potential benefits in alleviating IBS and the underlying mechanisms remain elusive. Methods. In this study, we established an IBS model in rats to evaluate the effects of abdomen massage. Forty male Sprague Dawley (SD) rats were randomly assigned into 4 groups: the normal (control) group, IBS group, abdominal massage group, and abdominal massage + ketotifen treatment group (n = 10 rats in each group). Abdominal massage was performed once a day for 5 minutes for 14 days. On day 14, the rats were euthanized and the tissues were analyzed by transmission electron microscopy (TEM), immunohistochemistry or immunofluorescence staining, and laser confocal focus to visualize the micromorphology of the intestinal mucosa. The expression of TRPV1 and the release of trypase were determined by RT-qPCR and western blot. Results. We found that compared with the control group, the mast cells in the IBS group were significantly increased and the increased MC was partially decreased by an abdominal massage with or without ketotifen treatment. We also found that TRPV1 was upregulated in the IBS group. Abdominal massage with or without ketotifen treatment could attenuate the upregulation of TRPV1 in IBS. Mechanically, results of IHC and western Blot suggested that abdominal massage reduces the sensitivity of IBS by regulating the trypase-PAR2-PKCε pathway. Conclusion. Overall, our results suggested that abdominal massage produces a beneficial effect in improving the symptoms of IBS through reducing mast cell recruitment and attenuating the trypase-PAR2-PKCε pathway. Ketotifen could promote the effect of abdominal massage on IBS treatment, which can serve as a potential therapeutic strategy for IBS.
On the Performance and Efficiency of Surface Air Cooler Working under High Temperature and High Humidity Condition
Authors: Yang Juan , Yu Jing , Wang Shijing , Yan Weidong
Published: September 2022

Surface air cooler is widely used in refrigeration, air conditioning, chemical dehumidification, and other related fields. Nowadays, the application of surface air cooler has been mature under standard working conditions, and more and more research has been carried out on its application. However, when conventional surface air coolers are directly used under high temperature and high humidity conditions (the temperature is higher than 30°C, both the humidity ratios are higher than 20 g/kg dry air), or under conditions with strict dehumidification requirements, the expected results are often not achieved. Therefore, taking the conventional surface cooler as an example, the performance and efficiency of dehumidification of the surface cooler under high temperature and high humidity are investigated specifically in this paper. Based on the above model and experiment, the influence of operation parameters on heat and mass transfer of surface air cooler is analyzed. At the same time, the change law of heat and mass transfer capacity, dehumidification performance, and heat transfer efficiency of a surface air cooler is specially investigated. Results proved that under high temperature and humidity conditions (34.8°C, 23.03 g/kg dry air), lower head-on wind velocity could realize deeper humidification effects effectively, while water velocity showed fewer impacts. As shown in the experiment, when water velocity increased to 1.2 m/s, and head-on wind velocity dropped to 1.06 m/s, the humidity ratio at the air outlet reduced to 8.88 g/kg while heat-transfer efficiency reached 0.778; however, when head-on velocity increased to 2.5 m/s and water velocity rose to 1.2 m/s, humidity ratio at air outlet dropped to 13.17 g/kg only, and heat-transfer efficiency reached merely 0.572. In conclusion, this paper has established an accurate and effective mathematical model for analyzing the heat transfer and dehumidification characteristics of the surface cooler under high temperature and high humidity conditions, which provides a reference for the development and design of dehumidification surface cooler under special conditions. More importantly, the conclusion of this paper also points out that, different from the adjusting strategy under conventional working conditions, reducing the head-on wind speed is the best adjusting strategy when the air surface cooler is used in high temperature and high humidity working conditions. This adjusting strategy is not only conducive to promoting the air to achieve a better dehumidification effect but also can effectively improve the efficiency of the surface cooler.
Modeling of Vapor-Liquid Equilibrium for Electrolyte Solutions Based on COSMO-RS Interaction
Authors: Liu Weiping , Zhao Chun , Zhou Yu , Xu Xianzhen
Published: September 2022

The modeling of phase equilibrium for electrolyte solutions plays an important role in chemical thermodynamics. Modeling and calculation of the vapor-liquid equilibrium (VLE) for an electrolyte solution are studied in this paper. The influence mechanism for the microscopic interaction on the macroscopic VLE is further studied by COSMOtherm. Then, a developed model is proposed. The interaction parameters in the model are linked to the COSMO interaction energy (H_int). The interaction equations are remodeled using 1stopt software, and components are used to replace the “interaction parameters” used in a previous model. The developed model can be used to successfully predict VLE data for electrolyte solutions based on the α and hi parameters.
A∗WRBAS: Space Mobile Robotics Control Conceptual Model Using IoRT Reinforcement Learning and Tracking with Noise Estimation Using EKF
Authors: Sinha Anurag , Bagwari Ashish , Joshi Pooja , Ramish  , Verma Sudhani , Kanti Jyotshana
Published: September 2022

With more than one billion connected devices, the notion of the Internet of Things (IoT) is now gaining momentum. The mobile robot must be able to find itself in space, which is a necessary ability for autonomous navigation. Every high-level navigation operation starts with the fundamental assumption that the user is aware of both their position and the locations of other points of interest throughout the world. A robot without a sense of position can only function in a localized, reactive manner and cannot plan actions that take place outside of the immediate area of its sensory capabilities. The ubiquity of sensors and objects with robotic and autonomous systems is combined in a novel idea known as the “Internet of Robotic Things.” Computer science and mechanical engineering come together in robotics. Designing and manufacturing mechanical parts and components for robot control systems benefits from the use of mechanical engineering. Space robots and robotics are recognized as tools that can improve astronauts’ manipulation, functions, and control; as a result, they can be referred to as their artificial assistance for in situ evaluations of the conditions in space. Human-robot contact is made possible by the fact that gestures and actions are so common in robot control systems. Contrary to AI and reinforcement learning, which have been used to regulate the operation of robots in a variety of sectors, IoRT (Internet of Robotic Things), a novel subset of IoT, has the potential to track a range of robot action plans. In this research, we provide a conceptual framework to help future researchers design and simulate such a prototype. It is based on an IoRT control system that has been enhanced using reinforcement learning and AI algorithms. We also use AKF to keep track of robots and reduce noise in sensors that have been combined with the

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algorithm (adaptive Kalman filtering). It is necessary to develop and imitate this mental framework. Deep reinforcement learning is a promising approach for autonomously learning complex behaviors from little sensor data (RL). We also discuss the fundamental theoretical foundations and fundamental issues with current algorithms that limit the usage of reinforcement learning methods in practical robotics applications. We also go through some possible directions that reinforcement learning research may go in the future.
Identification and Analysis of Key Barriers of BIM Application for Small‐ and Medium‐Sized Fire Protection Enterprises
Authors: Liu Hui , Zhang Ruixiang , Zhang Hang , Jiang Hongbing , Ju Qianqian
Published: September 2022

The application of Building Information Modeling (BIM) in fire protection discipline has been sufficiently proved to be useful, but has encountered many barriers in China. Among which, small‐ and medium‐sized enterprises (SMEs), which are considered sensitive to adoption costs and external funding support, play a critical role in the BIM adoption process in fire protection discipline. Therefore, identifying and analyzing the barriers of BIM application are essential to help small‐ and medium‐sized fire protection enterprises to overcome these barriers. In this study, semantic analysis, which includes word frequency analysis and coword analysis, based on literature review was utilized to identify the main barriers. 20 main barriers, which were classified into software, people, organization, and environment group, were obtained. Then, Interpretive Structural Modelling (ISM) approach and Cross‐Impact Matrix Multiplication Applied to Classification (MICMAC) analysis were utilized to hierarchically analyze and categorize the main barriers of BIM application in Chinese SMFEs. The findings revealed that the lack of external support and the lack of BIM laws and regulations applicable to fire protection discipline are the key barriers in general for the application of BIM in SMFEs. For the barriers at the enterprise level, through further analysis and discussion based on barriers in the people and organization clusters, the lack of funding support for proper BIM training and the lack of organization culture support were concluded as the key barriers of BIM application inside the scope of SMFEs. According to 80‐20 principle, more effort should be focused on the key barriers to gain maximum management effect. The research result categorizes the barriers for easy intervention of fire protection enterprises’ managers and policymakers. It contributes to the nascent studies of BIM application and provides guidance for the application of BIM in fire protection discipline.
COVID-19 Vaccination Associated Bilateral Pulmonary Embolism: Cause or Coincidence
Authors: Ogunkoya John Omotola , Ogunmola Marion Itohan , Ogunlade Akinwale Folarin , Ladele Akindele Emmanuel
Published: September 2022

Background. Acute pulmonary embolism (APE) is a common cause of morbidity and mortality all over the world. Sudden onset dyspnea and chest pain are characteristic. Prior to our index case, only two previous cases of bilateral pulmonary thromboembolism were reported in black Africans and the first to be associated with COVID-19 vaccination. These cases were seen and described in middle-aged men. Case Summary. A 59-year-old man presented with a 2 week history of sudden onset dyspnea and a week history of productive cough. No associated chest pain or hemoptysis. No preceding history suggestive of leg pain/swelling. The patient had the booster dose of moderna (mRNA) COVID-19 vaccine a month before the onset of symptoms. There was associated anorexia, generalized body pain, joint pain, and weakness. He had reduced oxygen saturation at presentation with tachycardia. CTPA showed nearly occlusive right and left pulmonary arteries. Conclusion. Bilateral acute pulmonary embolism is rare all over the world. Its association with COVID-19 vaccine administration is even rarer. However, the clinical presentations and investigation findings are similar to the descriptions available in the literature for unilateral APE.
Individuals Dying of Overdoses Related to Pharmaceutical Opioids Differ from Individuals Dying of Overdoses Related to Other Substances: A Population-Based Register Study
Authors: Skurtveit Svetlana , Odsbu Ingvild , Gjersing Linn , Handal Marte , Lid Torgeir Gilje , Clausen Thomas , Hamina Aleksi
Published: September 2022

Background: Pharmaceutical opioid (PO) overdose deaths have increased in many Western countries. There are indications that those dying from a PO overdose differ from those dying from other types of overdoses. These differences might pose a challenge as the majority of current preventive measures are tailored toward those with the characteristics of “conventional” overdose deaths. Objective: We investigated differences in the characteristics of persons who died from PO overdoses compared to all other overdoses. Material and Methods: Using the Norwegian Cause of Death Registry, we retrieved information on overdoses classified according to ICD-10 and identified PO overdoses (T40.2; T40.4) and all other overdoses (T40.X; T43.6) in 2010–2019. By linking data from nationwide registers, we analyzed data on opioid dispensations and the history of mental and behavioral disorders. 1,224 persons were registered with PO overdoses and 1,432 persons with other overdoses. Results: Persons in the PO overdose group were older and were more frequently women (35.0% vs. 20.5%) than persons with other overdoses. They had a higher prevalence of chronic pain (35.8% vs. 13.2%), history of cancer (8.1% vs. 1.8%), filled prescriptions of analgetic opioids more frequently the month before death (38.8% vs. 12.0%), and used threefold higher doses of prescribed opioids compared to individuals in all other overdose group (66 vs. 26 oral morphine equivalents/day). In the PO overdose group, oxycodone and fentanyl were more frequently dispensed, while codeine was more frequently dispensed in the other overdose groups. A lower proportion of those in the PO overdose group had recorded diagnoses of substance use disorders, schizophrenia, and hyperkinetic disorder compared to the other overdose groups. Conclusion: Persons dying from overdoses on POs often differ from the population targeted by existing prevention strategies, as they are more frequently older women with chronic pain and using high doses of prescription opioids.
Vision Loss as Presenting Symptom in Testicular Cancer: A Morbid Case Report
Authors: Zhou You , Sharifi Ardalan , Gupta Praveena , Duong Brittany , Lahiji Arian Pourmehdi , He Jing , Lee Wen-Hsiang
Published: September 2022

Testicular cancer is the most common malignancy in men 20–40 years old and most commonly metastasizes to the lung, liver, and brain. Choroidal metastasis from testicular cancer is exceedingly rare, and only few cases have been described in the literature. We report a patient who presented with painful unilateral vision loss as the initial presenting symptom of metastatic testicular germ cell tumor (GCT). A 22-year-old Latino man presented with a 3-week history of progressive central vision loss and dyschromatopsia, accompanied by intermittent, throbbing ocular, and periocular pain, in the left eye. Associated symptom was remarkable for abdominal pain. Examination of the left eye disclosed light perception vision and a large choroidal mass in the posterior pole involving the optic disk and the macula with associated hemorrhages. Neuroimaging showed a 2.1-cm lesion in the posterior globe of the left eye, and B-scan and A-scan ultrasonography findings were consistent with choroidal metastasis. Systemic workup revealed a mass in the left testicle with metastasis to the retroperitoneum, lungs, and liver. Biopsy of a retroperitoneal lymph node showed a GCT. Visual acuity worsened from light perception to no light perception 5 days following initial presentation. Several cycles of chemotherapy were completed, including salvage therapy; however, these treatments were unsuccessful. While vision loss due to choroidal metastasis as the initial presenting symptom of testicular cancer is rare, clinicians should consider metastatic testicular cancer in the differential diagnoses in patients with choroidal tumors, especially in young men.
Common human diseases prediction using machine learning based on survey data
Authors: Nahian Jabir Al , Mohammad Masum Abu Kaisar , Abujar Sheikh , Mia Md. Jueal
Published: September 2022

In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. In this time, there are some types of diseases COVID-19, normal flue, migraine, lung disease, heart disease, kidney disease, diabetics, stomach disease, gastric, bone disease, autism are the very common diseases. In this analysis, we analyze disease symptoms and have done disease predictions based on their symptoms. We studied a range of symptoms and took a survey from people in order to complete the task. Several classification algorithms have been employed to train the model. Furthermore, performance evaluation matrices are used to measure the model's performance. Finally, we discovered that the part classifier surpasses the others.
Classifications of signatures by radial basis neural network
Authors: Salahaldeen Al-Kaltakchi Musab Tahseen , Mohammed Al-Sumaidaee Saadoon Awad , Omar Al-Nima Raid Rafi
Published: September 2022

The personal signature can be considered one of the most common behavioral biometrics. In this study, signatures are classified according to their specifications. The statistical calculation is considered for the specifications of each signature. Then, a radial basis neural network (RBNN) is adapted to apply multiple classifications for the employed signatures. A big number of signatures are utilized; they are obtained from the database called biometric ideal test (BIT). The total number of collected signatures is equally divided between the testing and training phases, where it is partitioned into 50% for the training and 50% for the testing. The proposed technique could achieve attractive performance, where each of the mean square error (MSE) and mean absolute error (MAE) attained a small value of 0.028. In addition, the proposed approach using the RBNN is compared with the different neural networks of the state-of-the-art techniques in order to demonstrate that the outcomes are acceptable and successful.
Design and analysis of microstrip patch antenna for 5G wireless communication systems
Authors: Rana Md. Sohel , Rahman Smieee Md. Mostafizur
Published: September 2022

Due to lower latency, greater transmission speed, wider bandwidth, and the possibility to connect with greater multiple devices, fifth-generation (5G) networks are far better than 4G. In this study, a microstrip patch antenna operating at 28 GHz is investigated and modeled for future 5G communication technologies. The substrate used in this work for the antenna is Rogers RT/Duroid5880. Dielectric of the substrate is 2.2 and thickness is 0.3451 mm. CST software is used to simulate the antenna as it is convenient to use. From the simulation, the return loss, gain, radiation efficiency, side-lobe level was found to be -38.348 dB, 8.198dB, 77%, and -18.3 dB respectively. The result found from this simulation is better than the works took place in the past. As a result, it can be utilized as a capable candidate for 5G wireless technology. The results of this proposed antenna are superior to those of existing antennas published in recent scientific journals. As a result, it's likely that this antenna will meet the needs of 5G wireless communication systems.
A model for incorporating suitable methods of usability evaluation into agile software development
Authors: Abdulameer Salman Fouad , Deraman Aziz
Published: September 2022

The challenge to incorporate usability evaluation values and practices into agile development process is not only persisting but also systemic. Notable contributions of researchers have attempted to isolate and close the gaps between both fields, with the aim of developing usable software. Due to the current absence of a reference model that specifies where and how usability activities need to be considered in the agile development process. This paper proposes a model for identifying appropriate usability evaluation methods alongside the agile development process. By using this model, the development team can apply usability evaluations at the right time at the right place to get the necessary feedback from the end-user. Verification of the proposed model was conducted using the focus group method by experts from industry domain.
Fault diagnosis of a photovoltaic system using recurrent neural networks
Authors: Djeghader Reda , Louahem Msabah Ilyes , Benzahioul Samia , Metatla Abderrezak
Published: September 2022

The developed work in this paper is a part of the detection and identification of faults in systems by modern techniques of artificial intelligence. In a first step we have developed amulti-layer perceptron (MLP), type neural network to detect shunt faults and shading phenomenon in photovoltaic (PV) systems, and in the second part of the work we developed anotherrecurrent neural network (RNN) type network in order to identify single and combined faults in PV systems. The results obtained clearly show the performance of the networks developed for the rapid detection of the appearance of faults with the estimation of their times as well as the robust decision to identify the type of faults in the PV system.
Image scrambler based on novel 4-D hyperchaotic system and magic square with fast Walsh–Hadamard transform
Authors: Zghair Hayder Kadhim , Ismael Hussein Ali , Al-Shamery Ameer Al-Haq
Published: September 2022

A novel 4-D hyperchaotic system that have seven positive parameters in third order with thirteen terms is proposed,in this paper, the proposed chaotic behavior is proved by analysis of the Lyapunov's exponent, fractional dimension, zero-one test, sensitivity dependent on initial condition (SDIC), phase portraits, and waveform analysis, this study offers an innovative designed image encryption algorithm depending on a 4-D chaotic system using fast discrete Walsh-Hadamard transform and magic matrix that is both effective and simple for image encryption and gives it a higher level of security. This new 4-D hyperchaotic system is used to produce a random key in this algorithm. The implemented and simulated results using mathematica programs and MATLAB programs were supplied qualitatively and in figures. The proposed system is hyperchaotic, according to testing results, because it possesses two Lyapunov positive exponents.
Classifying healthy and infected Covid-19 cases by employing CT scan images
Authors: Mohamedsheet Al-Hatab Marwa Mawfaq , Omar Al-Nima Raid Rafi , Qasim Maysaloon Abed
Published: September 2022

A broad family of viruses called coronaviruses may infect people. The infection's symptoms are often relatively minor and resemble a normal cold. Since the coronavirus disease of 2019 (Covid-19) has never been observed in humans, anyone can contract it, and no one has an innate immunity to it. The detection of Covid-19 is now a critical task for medical practitioners. computed tomography (CT) scans can be considered as the best way to diagnose Covid-19. For patients with severe symptoms, imaging might help to assess the seriousness of the disease. Also, the CT scan can be helpful for determining a plan of care for a patient. This work focuses on classifying Covid-19 cases for healthy and infected by presenting a powerful scheme of recognizing CT scan images. In this study will be provided by proposing a model based on applying deep feature extractions with support vector machine (SVM). Big dataset of CT scan images is employed, it is available in the repository of GitHub and Kaggle. Remarkable result of 100% have been benchmarked as the highest evaluation after investigations. The proposed model can automatically detect between healthy and infected individuals.
Design module for speech recognition graphical user interface browser to supports the web speech applications
Authors: A. Habeeb Fadya , M. Saber Suaad , Mohammed Abdulameer Shaymaa , Gheni Hassan Muwafaq , Dheyaa Radhi Ahmed
Published: September 2022

The web speech API has made it possible to integrate audio data into web applications and make it a unique experience for all customers and users of modern applications. The website can only be accessed through devices equipped with a which stands for graphical user interface (GUI) and screen. For this to be done, there must be a physical attraction with such devices. This paper presents speech recognition using a web browser (SRWB) which permits browsing or surfing the internet with the use of a standard voice-only and vocal user interface (VUL) development. The SRWB system input from the users in form of vocal commands and covers these voice commands to HTTP requests. The SRWB system will send the voice commands to the web server for processing purposes and when the processing is done, the converted or translated HTTP response is outputted to the end-users in a voice format made audible with the attached loudspeakers. SAPI, developed by Microsoft, allows the use of SRWB in Windows applications. The algorithm is implemented by the system to achieve its goal for web content, classifying, analyzing, and sending important parts of web pages back to the end-user.
Cyberattacks and data breaches in Indonesia by Bjorka: hacker or data collector?
Authors: Sutikno Tole , Stiawan Deris
Published: September 2022

Recently, the public has been shocked by the mysterious figure of Hacker Bjorka. Bjorka hacked Indonesian officials. Bjorka leaks Indonesia's General Election Commission (KPU) data. This raises a significant red flag concerning Bjorka's ability to "disrupt" circumstances that are harmful to a large number of individuals, including his alleged action of leaking the personal data of influential state officials. Expert Putra Aji Adhari says Bjorka isn't a hacker. Aji Putra stated that Bjorka is a team. He, who has been invited to communicate with NASA, is sure Bjorka is still in Indonesia. Putra told Bjorka's hacking steps. Ardi Sutedja declared Bjorka isn't a person, his pattern mirrored a hacking group's. Sutedja knew Bjorka was Indonesian. Domestic targets, attacks, and mastery are evidences. On the other hand, Wiryana, as a hacker's handler, said that Bjorka is not a real hacker but rather a data collector. Ismail Fahmi says that a hacker like Bjorka uses a VPN to get to a server without leaving any traces. Bjorka might have come from Indonesia. One sign is that Bjorka's use of English is similar to how most Indonesians talk.
Simulation model of 1-phase pulse-width modulation rectifier by using MATLAB/Simulink
Authors: Shneen Salam Waley , Aziz Ghada Adel , Abdullah Fatin Nabeel , Shaker Dina Harith
Published: September 2022

One of the problems that need to be solved is the difference in the type of nutrition from the load. The feeding may be from a constant current source such as batteries and solar cells, and there are alternating current sources such as diesel machines, wind energy, and various power plants. All of these sources need electronic power devices that help convert and regulate the control and control of the type of feeding on the one hand and its amount on the other. From here, we show the size of the challenge occupied by electronic power transformers, as they are considered the solution to many problems of transmission, distribution, and feeding systems for different loads. The current study sheds light on one of the types of electronic power systems, which is unified. Choosing and suggesting a set of single-phase unifying circuits to conduct simulations and come up with results that are analyzed to show the function of the non-electronic modulators. In the current simulation, tests were carried out for a group of circuits that need direct current (DC) power, and their available source of supply is an alternating current source. to different departments to access a set of data that enables researchers to conduct appropriate analyzes to perform them, by discussing those results.
The influence of mobile phone use on students’ academic behavior in higher education
Authors: Fook Chan Yuen , Narasuman Suthagar
Published: September 2022

Smartphones have become an inextricable element of life in the twenty-first century. Since there is little research on the relationship between mobile phone use and academic behavior among students in local universities, hence, the current study sought to study the relationship between these two variables in the context of Malaysian higher education. The data from 435 students who answered an online Google Form of survey sent through a WhatsApp link was collected and analyzed using a descriptive correlational research approach. The results indicated that male students displayed a higher level of mobile phone use than female students in higher education. The study also found that negative phone use had a negative relationship with academic behavior, and positive phone use contributed to positive academic behavior. Regression analysis confirmed that excessive mobile phone use and mobile addiction had a higher impact on academic behavior, however, proper mobile use has a positive impact on academic behavior among the students in higher education. The study implies that all the universities need to have better guidelines to regulate the use of mobile phone in the classroom. Overall, the findings are useful in facilitating the monitoring of the proper use of mobile phone for enhancement of learning in tertiary institutions.
Impact of Intracoronary Imaging‐Guided Percutaneous Coronary Intervention on Procedural Outcomes Among Complex Patient Groups
Authors: Mohamed Mohamed O. , Kinnaird Tim , Wijeysundera Harindra C. , Johnson Thomas W. , Zaman Sarah , Rashid Muhammad , Moledina Saadiq , Ludman Peter , Mamas Mamas A.
Published: September 2022

Background

Intracoronary imaging (ICI) has been shown to improve survival after percutaneous coronary intervention (PCI). Whether this prognostic benefit is sustained across different indications remains unclear.

Methods and Results

All PCI procedures performed in England and Wales between April, 2014 and March 31, 2020, were retrospectively analyzed. The association between ICI use and in‐hospital major acute cardiovascular and cerebrovascular events; composite of all‐cause mortality, stroke, and reinfarction and mortality was examined using multivariable logistic regression analysis for different imaging‐recommended indications as set by European Association for Percutaneous Cardiovascular Interventions consensus. Of 555 398 PCI procedures, 10.8% (n=59 752) were ICI‐guided. ICI use doubled between 2014 (7.8%) and 2020 (17.5%) and was highest in left main PCI (41.2%) and lowest in acute coronary syndrome (9%). Only specific European Association for Percutaneous Cardiovascular Interventions imaging‐recommended indications were associated with reduced major acute cardiovascular and cerebrovascular events and mortality, including left main PCI (odds ratio [OR], 0.45 [95% CI, 0.39–0.52] and 0.41 [95% CI, 0.35–0.48], respectively), acute coronary syndrome (OR, 0.76 [95% CI, 0.70–0.82] and 0.70 [95% CI, 0.63–0.77]), and stent length >60 mm (OR, 0.75 [95% CI, 0.59–0.94] and 0.72 [95% CI, 0.54–0.95]). Stent thrombosis and renal failure were associated with lower mortality (OR, 0.69 [95% CI, 0.52–0.91]) and major acute cardiovascular and cerebrovascular events (OR, 0.77 [95% CI, 0.60–0.99]), respectively.

Conclusions

ICI use has more than doubled over a 7‐year period at a national level but remains low, with <1 in 5 procedures performed under ICI guidance. In‐hospital survival was better with ICI‐guided than angiography‐guided PCI, albeit only for specific indications.
Cell‐Specific Actions of the Prostaglandin E‐Prostanoid Receptor 4 Attenuating Hypertension: A Dominant Role for Kidney Epithelial Cells Compared With Macrophages
Authors: Yang Ting , Song Chengcheng , Ralph Donna L. , Andrews Portia , Sparks Matthew A. , Koller Beverly H. , McDonough Alicia A. , Coffman Thomas M.
Published: September 2022

Background

A beneficial role for prostanoids in hypertension is suggested by clinical studies showing nonsteroidal anti‐inflammatory drugs, which block the production of all prostanoids, cause sodium retention and exacerbate hypertension. Among prostanoids, prostaglandin E2 and its E‐prostanoid receptor 4 receptor (EP4R) have been implicated in blood pressure control. Our previous study found that conditional deletion of EP4R from all tissues in adult mice exacerbates angiotensin II‐dependent hypertension, suggesting a powerful effect of EP4R to resist blood pressure elevation. We also found that elimination of EP4R from vascular smooth muscle cells did not affect the severity of hypertension, suggesting nonvascular targets of prostaglandin E mediate this antihypertensive effect.

Methods and Results

Here we generated mice with cell‐specific deletion of EP4R from macrophage‐specific EP4 receptor knockouts or kidney epithelial cells (KEKO) to assess the contributions of EP4R in these cells to hypertension pathogenesis. Macrophage‐specific EP4 receptor knockouts showed similar blood pressure responses to alterations in dietary sodium or chronic angiotensin II infusion as Controls. By contrast, angiotensin II‐dependent hypertension was significantly augmented in KEKOs (mean arterial pressure: 146±3 mm Hg) compared with Controls (137±4 mm Hg;
P
=0.02), which was accompanied by impaired natriuresis in KEKOs. Because EP4R expression in the kidney is enriched in the collecting duct, we compared responses to amiloride in angiotensin II‐infused KEKOs and Controls. Blockade of the epithelial sodium channel with amiloride caused exaggerated natriuresis in KEKOs compared with Controls (0.21±0.01 versus 0.15±0.02 mmol/24 hour per 20 g;
P
=0.015).

Conclusions

Our data suggest EP4R in kidney epithelia attenuates hypertension. This antihypertension effect of EP4R may be mediated by reducing the activity of the epithelial sodium channel, thereby promoting natriuresis.
Explaining the Neuroevolution of Fighting Creatures Through Virtual fMRI
Authors: Godin-Dubois Kevin , Cussat-Blanc Sylvain , Duthen Yves
Published: September 2022

While interest in artificial neural networks (ANNs) has been renewed by the ubiquitous use of deep learning to solve high-dimensional problems, we are still far from general artificial intelligence. In this article, we address the problem of emergent cognitive capabilities and, more crucially, of their detection, by relying on co-evolving creatures with mutable morphology and neural structure. The former is implemented via both static and mobile structures whose shapes are controlled by cubic splines. The latter uses ESHyperNEAT to discover not only appropriate combinations of connections and weights but also to extrapolate hidden neuron distribution. The creatures integrate low-level perceptions (touch/pain proprioceptors, retina-based vision, frequency-based hearing) to inform their actions. By discovering a functional mapping between individual neurons and specific stimuli, we extract a high-level module-based abstraction of a creature’s brain. This drastically simplifies the discovery of relationships between naturally occurring events and their neural implementation. Applying this methodology to creatures resulting from solitary and tag-team co-evolution showed remarkable dynamics such as range-finding and structured communication. Such discovery was made possible by the abstraction provided by the modular ANN which allowed groups of neurons to be viewed as functionally enclosed entities.