bluuebunny/crossref_metadata_2025 huggingface dataset:
Coal Wall Instability Evolution Law of Large Mining Height Face in Steeply Dipping Hard Roof Soft Coal Seam
Authors: Zhang Hao , Wu Yongping , Xie Panshi
Published: August 2022

The coal wall of large mining height longwall fully mechanized face in steeply dipping coal seam has poor self-stability and high probability of instability, which is likely to induce secondary hazards such as support instability and flying gangue once catastrophic occurs, increasing the difficulty of surrounding rock control and production risk. Coal wall disaster prevention and control can improve the productivity of this type of face, and this is based on the sufficient understanding of damage patterns such as internal and external dispersion of coal wall pressure, deformation, and displacement; in order to clarify the coal wall dynamic failure law of large mining height face in steeply dipping coal seam, numerical calculation, field measurement, theoretical analysis, and other methods are comprehensively applied to the study. The results show that the coal wall bearing of large mining height face in steeply dipping coal seam is distributed asymmetrically, the stress concentration position in the upper and middle part of the face is closer to the coal wall than the lower part, the stress concentration degree is also larger than the lower part, and the stress concentration coefficients from upper to lower are 1.37, 1.50, and 1.29, respectively. Soft coal wall bearing is mainly dispersed in the shape of “X” in its interior, forming intertwined pressure increasing and unloading zones, and most of the pressure increasing zones are at the edge of the outer end of the pressure relief zone, compression-shear type is the main failure form of the coal, and the middle and upper part of the coal wall in the height direction is easy to break and cause disaster. The coal wall of steeply dipping face partitioning migration features is obvious, and vertical displacement within 3.77 m from the coal wall is lower > middle > upper; after 3.77 m, it is upper > middle > lower; horizontal displacement is middle > upper > lower; coal migration volume in the middle region of the face is largest; and the coal wall instability has high frequency, wide influence area, and alternating evolution law.
Research on the Application of Information-Based Big Data Fusion Technology in College English Education Design
Authors: Chen Yi , Huang Jianwen
Published: August 2022

English is the most widely used language in the world, and China’s economic development has become the second largest country in the world. Therefore, popularizing English in China is the need of national conditions and the desire for talents who are good at English majors. In the current traditional college English education mode and in the external environment, college students’ English knowledge has not been substantially expanded, which has seriously caused the social needs not being met and students not being able to show their self-worth. Based on the deficiency of traditional college English teaching mode, this paper designs an efficient and perfect college English education mode by combining information big data fusion technology, so as to ensure that students can really love English and learn English more easily. The results of the experiment are as follows: (1) college English education and students’ English learning are analyzed, and the research direction of the experiment is approved, and the functional has been investigated, which lays a foundation for the experimental research of this paper; (2) old-fashioned college English education mode: intelligent big data technology is applied to English education. By using the information big data fusion algorithm to ensure the qualified English teaching effect, it not only helps teachers effectively combine big data resources but also changes the atmosphere of teaching classes, constructs modern language education mode, and promotes students’ thinking mode of exploring language learning.
Multi-Error Location Method Based on Path Clustering and Failure Weighting
Authors: Wang Xiaoyin , Hu Chunyang , Sun Jiaze , Wang Shuyan
Published: August 2022

Since the traditional multiple-error locating method in software testing is difficult to achieve, and its information analysis is inaccurate, a software multiple-error locating method based on path clustering and failure weighting is proposed in this paper. In an environment with complete test cases, the program execution context information is dynamically captured by running test cases, and a path matrix of execution trajectory information is constructed. The cluster analysis is used to divide clusters and expand the weight of failed execution and added to suspicious in the process of degree evaluation to troubleshoot multiple errors. Experiments are implemented on four benchmark programs. The results show that compared with the five methods based on the equivalent evaluation function, the error location cost of the proposed method was reduced by 19.15% on average and effectively improved the efficiency of error location.
Electrochemical Preparation of Nanocatalysts and Their Application in Electrocatalysis
Authors: Zhou Hao
Published: August 2022

In order to solve the basic problem of high-temperature sintering of molybdenum carbide restricting the efficient construction of molybdenum carbide nanostructures and the full play of hydrogen evolution performance, this article studies the preparation of nano molybdenum carbide/boron nitrogen codoped two-dimensional carbon composite structure catalysts and the electrochemical hydrogen evolution reaction performance. Based on the self-assembly process of gelatin molecules on the surface of a two-dimensional layered boric acid crystal template, a new strategy for constructing a high-performance electrochemical hydrogen evolution reaction catalyst based on molybdenum carbide/boron nitrogen codoped two-dimensional nanocarbon composite structure (η-MoC@ BN-CSs) was established. The experimental results show that the overpotential of hydrogen evolution reaction based on molybdenum carbide/boron nitrogen codoped two-dimensional nanocarbon composite structure catalyst is 159 mV, which is slightly higher than 67 mV of commercial Pt/C catalyst, but lower than the reported literature value in the list. The Tafel slope is 68 mV·dec−1, which is slightly higher than that of the commercial Pt/C catalyst (40 mV·dec−1) and the reference value (58 mV·dec−1), but lower than those of other reported literature values in the list, indicating that the molybdenum carbide/boron nitrogen codoped two-dimensional carbon nanocomposites have excellent catalytic performance under alkaline conditions. Conclusion. This kind of two-dimensional nanocomposite structure shows platinum-like catalytic activity when used as an electrochemical hydrogen evolution catalyst in alkaline electrolyte. It has better reaction kinetics and better stability.
Bioinformatics Analysis of Inflammation Gene Signature in Indicating Cholangiocarcinoma Prognosis
Authors: Wang Yanting , Chen Shi , He Song
Published: August 2022

Aim. We studied inflammatory response-related genes in cholangiocarcinoma by bioinformatics analysis. Methods. The expression profiles and clinical information of cholangiocarcinoma patients were downloaded from the TCGA cohort and the Gene Expression Omnibus. The greatest absolute shrinking and selecting operator Cox analyses were utilized to build a multigene predictive signature. Results. An inflammation response-related gene profile was generated using LASSO-Cox regression analysis of Homo sapiens bestrophin 1 (BEST1), Chemokine (C–C motif) ligand 2 (CCL2), and plasminogen activator, urokinase receptor (PLAUR). Individuals in the highest category had a significantly lower overall survival time than those from the low-risk group. A receiver operating curve analysis was used to demonstrate the predictive ability of the predictive gene signature. Through multivariate Cox analysis, the risk score was discovered to be a predictor of overall survival (OS). According to functional assessments, the immunological state and milieu of the two risk areas were significantly different. The expression levels of predictive genes were found to be strongly linked to the sensitivity of cancer cells to antitumor therapy. Conclusion. A new signature made up of three respective response-relevant genes is found to be a promising indicator of prognosis by influencing the immune condition and tumor microenvironment.
Primary Gastrointestinal Follicular Lymphoma Exclusively Confined to the Mucosa
Authors: Dokmak Amr , Radwan Amr , Krishnan Sandeep
Published: August 2022

Follicular lymphoma (FL) is a common form of non-Hodgkin’s lymphoma that rarely occurs in the gastrointestinal (GI) tract. The majority of GI FL cases are indolent in nature and are incidentally detected. They arise in the duodenum and more specifically near the ampulla of Vater. Multiple lesions are usually present upon endoscopic examination with mucosal and submucosal involvement. We hereby report the rare diagnosis of primary GI FL that presented as a solitary lesion exclusively involving the mucosal layer of the GI tract and was not located in the classic periampullary region of the duodenum, using a combination of advanced endoscopic techniques.
Vena Cava Superior Syndrome Six Years after Central Venous Catheter Removal in a Patient on Hemodialysis
Authors: Janssen Michelle , Logtenberg Susan
Published: August 2022

Vena cava superior (VCS) syndrome is rarely seen as a complication of central-venous-catheter placement. Usually, the syndrome appears when the presence of the catheter causes intraluminal obstruction or thrombosis. In this case report, however, we describe a patient on intermittent hemodialysis who had been free of any venous central line for over 6 years, presented with a VCS syndrome. The CT scan showed an absent VCS without extravascular compression. Previous catheter placement was diagnosed as the case of the VCS syndrome. It is important to realize that VCS syndrome can occur late after removal of central venous catheters, and thus, clinicians should be aware of its symptoms in any patient who has had an upper central line in the past medical history.
Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials
Authors: Ratitch Bohdana , Rodriguez-Chavez Isaac R. , Dabral Abhishek , Fontanari Adriano , Vega Julio , Onorati Francesco , Vandendriessche Benjamin , Morton Stuart , Damestani Yasaman
Published: August 2022

Background: The proliferation and increasing maturity of biometric monitoring technologies allow clinical investigators to measure the health status of trial participants in a more holistic manner, especially outside of traditional clinical settings. This includes capturing meaningful aspects of health in daily living and a more granular and objective manner compared to traditional tools in clinical settings. Summary: Within multidisciplinary teams, statisticians and data scientists are increasingly involved in clinical trials that incorporate digital clinical measures. They are called upon to provide input into trial planning, generation of evidence on the clinical validity of novel clinical measures, and evaluation of the adequacy of existing evidence. Analysis objectives related to demonstrating clinical validity of novel clinical measures differ from typical objectives related to demonstrating safety and efficacy of therapeutic interventions using established measures which statisticians are most familiar with. Key Messages: This paper discusses key considerations for generating evidence for clinical validity through the lens of the type and intended use of a clinical measure. This paper also briefly discusses the regulatory pathways through which clinical validity evidence may be reviewed and highlights challenges that investigators may encounter while dealing with data from biometric monitoring technologies.
Factors Related to Omalizumab Drug Survival and Treatment Responses in Chronic Urticaria
Authors: Hasal Eda , Bulbul Baskan Emel , Yazici Serkan , Aydogan Kenan , Saricaoglu Hayriye
Published: August 2022

Introduction: This study aimed to evaluate factors affecting drug survival and treatment response in patients with chronic urticaria treated with omalizumab in clinical practice. Methods: This study included 386 patients with chronic urticaria. Demographic characteristics, clinical features, laboratory parameters, and omalizumab treatment data were analyzed retrospectively. The 7-day urticaria activity score (UAS7) and urticaria control test (UCT) were used to assess disease severity and treatment responses. Results: Well-controlled disease (UAS7 ≤6) was achieved in 59.3% of patients at a median of 2 months. Complete response was significantly higher in patients treated with omalizumab for ≥12 months (p < 0.001). Family history of asthma (p = 0.01) was less frequent, and disease duration (p = 0.041) was shorter in patients with well-controlled disease. Total treatment duration was longer in patients with relapse (p < 0.001) and serum Helicobacter pylori IgA positivity (p = 0.029). Discussion/Conclusion: Treatment response is better in patients treated with omalizumab for ≥12 months. However, prolonged treatment does not prevent relapse. Our findings suggest that continuous or intermittent therapy is an appropriate alternative treatment option in patients with severe chronic urticaria; however, continuous therapy can be preferred to maintain the patient’s quality of life.
Clinical Characteristics and Prognosis of Cervical Cancer Patients with Human Immunodeficiency Virus Infection: A Retrospective Study
Authors: Wang Ruhan , Zhang Yang , Zhu Yanliang , Li Quan
Published: August 2022

Objectives: Cervical cancer (CC) is one of the human immunodeficiency virus (HIV)-related cancers. The objective of this retrospective observational cohort study was to explore the treatment response, survival, and independent prognostic predictors for HIV-positive patients with CC. Design/Participants/Materials/Setting/Methods: This is a retrospective case-control study. Patients with primary CC, treated at Xiangyang Central Hospital, Hubei, China, from June 2013 to June 2019, were reviewed. All included patients were divided into the HIV-positive and HIV-negative groups. The primary outcome was overall survival (OS). A Kaplan-Meier curve was used to evaluate the survival condition. Univariate and multivariate Cox proportional hazard regression was used to determine the prognostic predictors for HIV-positive CC patients. Results: A total of 1,319 patients were included in the study, with 30 in the HIV-positive group and 1,289 in the HIV-negative group. The HIV-negative group had statistically better OS than the HIV-positive group (hazard ratio [HR] 2.68, 95% confidence interval [CI]: 1.78–4.04, p < 0.001). The recurrence rate of HIV-negative was lower than that of HIV-positive patients (p < 0.001). Concurrent radiotherapy and chemotherapy seemed to be less effective for HIV-positive patients than for HIV-negative patients among nonsurgical treatment patients (p = 0.046). The independent predictors for HIV-negative patients were recurrence (HR 3.08, 95% CI: 1.17–8.13, p = 0.023) and CD4 count ≥410/μL (HR 1.84, 95% CI: 1.07–3.19, p = 0.040). Limitations: First, some potential confounding factors, such as HIV-related co-infections, cannot be avoided, which may decrease the power of our findings. Second, as the sample size of HIV-positive CC patients was relatively small, the baseline characteristics of the two groups were not balanced, which can cause bias in the results to some degree. Finally, some useful data for the analyses were missing for some cases in the present study, which is inevitable for a retrospective study. Conclusion: There is a significantly lower survival and higher recurrence rate in CC patients with HIV infection, compared with those without HIV infection. Furthermore, inoperable HIV-positive CC patients are less likely to benefit from concurrent radiotherapy and chemotherapy than HIV-negative patients. Recurrence and blood CD4 count are independent prognostic factors for HIV-positive CC patients.
Adherence to Treatment Recommendations in Chronic Disease: What Is (Im)Possible? Expert Conclusions from the 30th ECOG Workshop 2021
Authors: Vallis Michael , Boyland Emma , Caroli Margherita , Erhardt Eva , Frelut Marie Laure , Mazur Artur , Molnar Denes , Torbahn Gabriel , Ring-Dimitriou Susanne , Stenlid Rasmus , Thivel David , Vlachopapadopoulou Elpis , Weghuber Daniel ,   on behalf of the European Childhood Obesity Group
Published: August 2022

Obesity is a chronic disease, in which treatment outcomes are highly dependent on patient and family adherence to behavioural recommendations. The role of healthy eating, physical activity, medication adherence as well as adherence to pre- and post-bariatric surgery protocols are of utmost importance for long-term treatment outcomes. Even the best interventions are not likely to reach their maximum benefit without significant levels of adherence on the part of the individual and family. Traditionally, the annual meeting of the European Childhood Obesity Group (ECOG) includes an expert workshop addressing one specific topic within the field of childhood obesity. During the 30th annual meeting, hosted by the University of Pécs, Hungary, as a virtual meeting, “adherence to treatment recommendations in obesity as a chronic disease” was addressed. The discussions that developed during the workshop are summarized in the following article.
Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX
Authors: Qachchachi Nabil , Mahmoudi Hassane , El Hasnaoui Abdennebi
Published: August 2022

This work presents an idea about to design, simulation, and analysis of an operational control system in order to control and supervise the operations of a hybrid AC/DC microgrid (HMG) in the different operating modes (connected and islanded). The main task of this paper is concerned with the development and the implementation of a global optimization method for solving the problems of the energy crisis of HMG with an adequate control algorithm. The supervision system was developed in such a way that it coordinates when power should be generated by sources renewable energy sources (RES) such as PV array or wind turbine and when it should be produced by grid power in on-grid operation or with diesel generator (DG) in off-grid operation. This system is intended to maximize the use of the RES while limiting the use of the other emergency sources of energy (the utility grid and DG). The control simulation proves that the management system reduces the total cost of HMG thereby reducing the total cost of the RES. From the simulation results, the developed supervision system reduces the global operational hours of the HMG and the proposed algorithm respects the optimization in real-time operation under different constraints.
Advanced control with extended Kalman filter and disturbance observer
Authors: Naoual Tidjani , Djamel Ounnas , Abderrezak Guessoum , Messaoud Ramdani
Published: August 2022

This paper describes a novel fuzzy tracking control for permanent magnet synchronous motors (PMSM) using an extended Kalman filter (EKF) and disturbance observer (DO). The goal is to create a robust controller able to drive the system’s states to track a virtual reference model and provide a low disturbance effect on the synchronous machine. First, the PMSM is represented using a fuzzy model Takagi-Sugeno (T-S) attended by the load torque variation. Next, To simplify the construction of a virtual reference model and nonlinear tracking control, a fuzzy tracking control based on virtual desired variables (VDVs) is proposed. Using this concept, a two-stage design procedure is developed: i) determine the VDVs using the desired output and the load torque, which can be estimated using DO and EKF and ii) calculate the fuzzy controller gains by solving linear matrix inequalities (LMIs). The efficiency of the suggested strategy is eventually shown through simulation results
Supervision, control, and data acquisition system of a heat exchanger
Authors: Díaz-Choque Martín , Chaccara-Contreras Vidalina , Aquije-Cárdenas Giorgio , Atoche-Wong Raquel , Villanueva-Acosta Victor , Gamarra-Bustillos Carlos , Samanamud-Loyola Oscar
Published: August 2022

Today, when industry 4.0 is already being talked about, and its advantages at the organizational level, there are still industrial processes that show a lack of automatic regulation mechanisms, which means that an optimal operating process is not guaranteed, nor that monitoring and supervision capacity. In this sense, the purpose of the article is to demonstrate the feasibility of the integration between the programmable logic controller and the Arduino nanocontrollers, this as an alternative to automate a concentric tube heat exchanger, for monitoring and data acquisition through a supervision, control and data acquisition system. The integration is shown through the design and implementation of a temperature transducer made up of a MAX6675 converter module and an Arduino Nano controller, which is amplified through its pulse width modulation (PWM) interface and the integrated TL081CP and coupled to the analog inputs of the automaton. As a result of the experimental tests, it was possible to determine that the flow rate of the automated system is directly proportional to the drop or difference in temperature in the hot fluid and inversely proportional to the increase in temperature in the cold fluid, verifying the effectiveness of the automated heat exchanger.
A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems
Authors: Masmoudi Ramadhan , Boulhares Ikhlas , Necaibia Ammar
Published: August 2022

To exploit the maximum power generated by the photovoltaic (PV) panel, it is necessary to use the maximum power point tracking (MPPT) controller. The main concern of MPPT algorithms is how to reach the maximum power point (MPP) quickly with less oscillation. To achieve this objective, this paper studies and compares the performance of different MPPT algorithms with a new proposed criterion of variable step size in terms of convergence speed towards the MPP and reduced oscillations around it. The proposed method utilizes a simple way to build multi-operating zones. In each field, the step size depends on the closeness to the MPP. The simulation results are obtained under Proteus and Arduino software; we use physical security information management (PSIM) software for the modeling of the PV panel and MATLAB software to display the comparative results between the different algorithms.
Secure smart home automation and monitoring system using internet of things
Authors: Khudhair Al-Gburi Mohamed , Ali Abdul-Rahaim Laith
Published: August 2022

As a result of the rapid increase in the number of users in internet of things (IoT) technologies, IoT becomes one of the most important technologies that play an important and essential role in various areas of human life, it provides service over 24 hours. In this paper, the proposed system relies on the implementation of a set of sensors for the Internet of things, which accomplish tasks inside the home automation, for example, controlling the main door, boiler and lock, as well as the ability to control lighting and air, internal temperature sensors, it based on the Arduino, to collect multimedia data, and remote-controlled sensors. The proposed system provides an efficient way to control and monitor the various devices in the home for security and safety purposes, and through sensors that rely on wireless technologies. The results show the abnormal alarm notification for heathcare/security purposes with the distance as 27 cm, smoke carbon monoxide on indoor air quality as 10211 degree Co as 6256 degree, Liquefied petroleum gas as 5097 degree, the delayed 3.4 ms and network latency as 0.0012 seconds of alarm notification with long distance as 60 m and high packet delivery ratio as 98.7%.
Analytic survey on the challenges of Moroccan students in higher education institutions face to distance learning
Authors: Mouna Kaouni , Fatima Lakrami , Ouidad Labouidya
Published: August 2022

This research presents an investigation of the problems faced by Moroccan higher education students after the face-to-face learning was reinstated following the COVID-19 pandemic crisis. The proposed methodology is based on an exploratory descriptive analysis through a survey that involved students from different higher education institutions and residing in various regions of Morocco. The collected results revealed that students face pedagogical, technical and organizational constraints that prevent them from making a successful transition to distance learning, even if only partially. Indeed, many students are not motivated by the use of information and communication technology (ICT). The study finally provides recommendations for understanding and overcoming these problems.
Energy management schemes for distributed energy resources connected to power grid
Authors: Bilgundi Srishail K , Pradeepa Heerayan , Kadam Aditi , M. Venkatesh Likithkumar
Published: August 2022

In a technically advanced world where demand is increasing very fast especially large number of non-linear loads and electric vehicles has led to energy crisis and pollution of grid power. Depleting conventional energy sources and environmental concerns has led to integration of large number of distributed energy resources (DERs) at distributional level to resolve problem of energy crisis and reduce emissions. With grid connected to different types of DERs, it is very challenging to manage the power flow, resolve energy crisis and maintain good power quality. Improper energy management may lead to inefficient operation of DERs and may build up stress on energy storage systems (ESS) impacting their life cycle. Thus, it is necessary to use energy management schemes (EMS) for efficient and reliable operation. EMS helps to enhance overall system efficiency and reduce the stress on ESS. This paper presents the analysis of different EMS applied on distribution system for efficient and economic operation of DERs and carryout stress analysis on ESS. Overall system efficiency, Hydrogen utilization in fuel cell, state of charge (SoC) of batteries and supercapacitor are the main parameters considered for performance comparison. To analyze the proposed work a simulation model is designed in MATLAB.
New memoryless self-scaling quasi Newton strategy on large scale unconstrained optimization problems
Authors: Qasim Aseel M. , Salih Zinah F.
Published: August 2022

In unconstrained optimization algorithms, we employ the memoryless quasi Newton procedure to construct a new conjugacy coefficient for the conjugate gradient approaches. This newer updating formula was adapted by scaling the well-known broyden fletcher glodfarb shanno (BFGS) formula by a selfscaling factor in order to reach to the new form of the conjugacy coefficient which makes a satisfactory result in the descent direction and satisfies the globally convergent features when compared the proposed method to HS standard conjugate gradient approach. The theorems are studied in detail and moreover the numerical results of this paper is depend on a Fortran programming which are extremely stable.
IoT-based drinking water quality measurement: systematic literature review
Authors: Carriazo-Regino Yulieth , Baena-Navarro Rubén , Torres-Hoyos Francisco , Vergara-Villadiego Juan , Roa-Prada Sebastián
Published: August 2022

Sustainable development throughout the world depends on several factors such as the economy, quality education, agriculture, industry, among others, but the environment is one of the most important. Industrialization and new land use plans have caused the proliferation of pollutants in water resources, which poses a serious public challenge. As outlined in the sustainable development goals (SDGs), innovative water quality monitoring methods are needed to ensure access to water, sustainable management and sanitation. In this sense, technologies are sought that contribute to the development and implementation of groundwater and surface water quality monitoring systems in real time, so that their parameters can be evaluated through descriptive analysis, in rural populations and areas of difficult access. Nowadays, the internet of things (IoT) and the development of modern sensors are more used, so this research reviews the latest technologies to monitor and evaluate water quality using the potential and possibilities of the IoT. The main contribution of this article is to present an overview of the state of the art of IoT applications and instrumentation for water quality monitoring, focusing on the latest innovations, in order to identify interesting and challenging areas that can be explored in future research.
Evaluate consumption of electric energy of residential sector and its environmental and economic effects
Authors: Jazea Najim Abdallah , Ali Mohammed Hussein , Sherif Noora Hani
Published: August 2022

The demand for electric power in Iraq increased significantly after 2003, The residential sector is the most consumption according to the statistics of the iraqi ministry of electricity (ICME) and the data published by the international energy agency (IEA). In this paper, a survey was applied for a sample of the population; whereby questionnaire models were used for some of the most energy consuming devices to determine the estimates of supply and demand for energy, and some data from the Iraqi Ministry of Electricity available until 2020 was relied on to predict the consumption of electrical energy for next ten years. Five Scenarios have been implemented for energy saving, CO2 gas emission and electricity production cost that reduce the accumulative energy consumed for the coming years.
Non-line-of-sight outdoor channel identifcation for wireless sensor networks based on impluse radio ultra wide band
Authors: Darif Anouar , Fateh Rachid
Published: August 2022

Wireless sensor networks (WSN) have become increasingly popular in a variety of fields in recent years. This is due to the development of their capabilities, which include remote environmental monitoring, process automation, telemedicine, and many other domains. Besides, among the widely used modern WSN radio technologies, we find impluse radio ultra wide band (IR-UWB) that is recognized by their advantages regarding low power consumption, low cost, low complexity and high resistance to multipath fading in outdoor wireless networks. Energy consumption minimization, packet delivery ratio improvement and latency minimization are the main objectives in this work. The chosen performance metrics (energy consumption, packet delivery ratio and latency) are justified by the direct impact of these three parameters on the network’s efficiency. Accordingly, we proposed and introduced an outdoor non-line-of-sight (NLOS) packet delivery ratio using broadband radio access network (BRAN) channel to improve WSN’s based on IR-UWB performance in terms of energy consumption, packets delivery ratio (PDR) and latency.
Game innovation: a case study using the Kizzugemu visual novel game with Tyranobuilder software in elementary school
Authors: Ibda Hamidulloh , Febriani Nur Rira , Al Hakim Muhammad Fadloli , Faizah Silviana Nur , Wijanarko Andrian Gandi , Qosim Nanang
Published: August 2022

This research aims to find out the innovation of the Kizzugemu visual novel game with TyranoBuilder software in elementary school Javanese language learning. The lack of game media innovation in elementary school Javanese language learning is the background of this research. The research method is descriptive and qualitative, with data mining techniques; observation, indepth interviews, and documentation that present the results of descriptions of the innovation, features, application, and impact of using the game in elementary Javanese language learning. The research subjects were the class teacher and 24 fifth-grade students of Madrasah Ibtidaiyah Ma’arif Bulurejo Magelang, Indonesia. The results showed the game’s innovation in multimedia-based game updates, applications, videos, sounds, and texts with the meaning of children’s games in Javanese, Javanese alphabet, Indonesian, and English. Game features are in the form of reading text in each scene and visualized in the material of the Javanese language. The implementation of the game is carried out through five stages which impact teacher awareness, learning media innovation, improved learning outcomes, activeness, understanding of Javanese, and support from parents and schools. Future research needs to explore visual novel game innovation through the latest software.
Communication frame work in an electric vehicle charging station supporting solar energy management
Authors: George Victor , Dixit Pradipkumar , Dawnee Soman , Agarwal Kushagra , Venkataramu Vismayi , B. Giridhar Deeksha
Published: August 2022

Exploiting Renewable energy to the maximum extent possible in an electric vehicle charging station (EVCS) is the key in supporting the anticipated carbon reduction from the electric vehicles (EVs). Knowing the expected load and the solar energy in advance at the EVCS can be crucial in framing a proper energy management strategy. Selection of suitable parameters associated with the participating EVs and EVCS are vital in utilizing them for predicting the probable EV load and expected solar energy for a given period under consideration. A prototype EVCS with smart communication infrastructure is developed considering solar pv as the energy source. Real time communication of the parameters between multiple agents has been established effectively using an interactive website, cloud server and an short message service (SMS) application programming interface (API). The data generated from the prototype models have been utilized in a random forest regression (RFR) classifier model in order to predict the probable solar energy and the expected EV load for every minute duration. The integrated communication frame work is found to be less complex to implement for an autonomous direct current (DC EVCS). The details provided at the graphical user interface (GUI) designed at the EVCS can be instrumental in developing a proper energy management strategy.
Reliable efficient cluster routing protocol based HTDE scheme for UWSN
Authors: Natarajan Vignesh Prasanna , Thandapani Kavitha
Published: August 2022

Underwater sensor networks (UWSNs) are recently recognized as a promising method for monitoring and exploring the underwater environment. Due to real-time remote data monitoring requirements, UWSN has become a preferred network to a large extent. But reliable and efficient secure data transmission to the receiver is one of the most important challenges for UWSNs, often suffer from irreplaceable batteries and high latency for long-distance communications. The most challenging task is extending network life, shortening transmission distances for each node. Thus, this paper presents the reliable efficient cluster routing (RECR) protocol, optimal shortest path finding (OSPF) algorithm and hill transformation data encryption (HTDE) algorithm for UWSNs. The proposed encryption algorithm encrypts the data from the source node, and the RECR protocol is used for reliable data delivery from source to destination. To extend the network's life, RECR employs autonomous underwater vehicle (AUV) from the sink node (SN) for data collection. The OSPF algorithm is used to find the shortest path for data transmission to avoid latency. The proposed RECR protocol, HTDE and OSPF algorithm enhance the secure data transmission efficiency, minimizing the energy consumption and improves the network life time. The proposed protocol decreases end-to-end latency, packet loss.
Major depressive disorder diagnosis based on PSD imaging of electroencephalogram EEG and AI
Authors: Falih Mahdi Ammar , Khalid Ahmed Aseel
Published: August 2022

One of the most common causes of functional frailty is major depressive disorder (MDD). MDD is a chronic condition that requires long-term therapy and professional assistance. Additionally, MDD effective treatment requires early detection. Unfortunately, it has intricated clinical characteristics that make early diagnosis and treatment difficult for clinicians. Furthermore, there are currently no clinically effective diagnostic biomarkers that can confirm an MDD diagnosis. However, electroencephalogram (EEG) data from the brain have recently been used to make a quantitative diagnosis of MDD. In addition, As being among the most cutting-edge artificial intelligence (AI) technologies, deep learning (DL) has exhibited superior performance in a wide range of real-world applications, from computer vision to healthcare. However, an additional challenge could be the extraction of information from the ECG raw data. This paper presents a method for converting EEG data to power spectral density (PSD) images, and then they were classified as healthy or MDD using a deep neural network for feature extraction and a machine learning (ML) classifier. When employing the proposed approach, the images formed from the PSD show a considerably improved performance in classification results.
Key-cipher policy attribute-based encryption mechanism for access control of multimedia data in cloud storages
Authors: Nagaraju Kavyasri Madakaripura , Boraiah Ramesh
Published: August 2022

Cloud technology is advancing at a rapid pace. Many applications and multimedia data are hosted in the cloud, Security, confidentiality, and efficiency are the key drawbacks of cloud computing. There are a variety of access control systems on the market to secure the data and applications on the cloud. But key generation time is a major flaw both in multi-authority and single authority systems. Cipher policy attribute-based encryption (CPABE) is one of many cryptographic algorithms available for ensuring user confidentiality which provides fine-grained access control. It also addreses a number of issues related attribute revocation, key generation time, and issues in handling a large number of attributes. We present a mechanism called key-cipher-policy-based ABE (KCP) in this article, which is a hybrid approach and combines CP-ABE and KP ABE approaches which result in handling a wide range of attributes, an efficient key generation process, and addresses challenges in attribute revocation.
Classification of malware using multinomial linked latent modular double q learning
Authors: Kudrekar Sheelavathy Veerabhadrappa , Vinayakamurthy Udaya Rani
Published: August 2022

In recent times, malware has progressed by utilizing distinct advanced machine learning techniques for detection. However, the model becomes complicated and the singular value decomposition and depth-based malware detectors failed to detect the malware significantly with minimum time and overhead. This paper proposes a multinomial linked latent dirichlet and modular double q learning (MLLD-MDQL) to efficiently detect malware based on the network behavior patterns. First, multinomial linked latent dirichlet network behavior extraction (ML-LDNBE) is applied to the input network for anomaly detection that extracts the behavior based on the network pattern. The behavior is extracted which are grouped to perform on the path protocol for analyzing repeated behaviors. Finally, the modular double q learning malware classification model is the grouped behaviors for significant malware detection. The effectiveness of proposed MLLD-M DQL method is compared with existing models. The results obtained by the proposed method show that the model combined with the machine learning (ML) significantly determined malware detection time and also reduced the false positive rate (FPR). The results showed that the false positive rate is significantly reduced by 42% for the proposed method better when compared to the existing behavior based malware detection model that obtained 62% of FPR.
New ultra-small design and high performance of an 8×8 massive MIMO antenna for future 6G wireless devices
Authors: Shakir Muttair Karrar , Khaleel Aljawaheri Karrar , Zuhair Ali Mujtaba , Shareef Oras Ahmed , Mosleh Mahmood Farhan
Published: August 2022

The demand for the array antenna that consists of multiple ports has increased in recent years, because of its main importance in reducing noise and interference between users. In this paper, we propose a new method for designing an 8×8 (16-ports) multi-input and multi-output (MIMO) antenna. This method relied on the Micro Strip mechanism so that we presented a small antenna that operates at wide and multi-bands of millimeter waves (Mm-Waves). According to the information curves generated by the CST experimental software, it was observed that the proposed antenna operates well from 36 to 60 GHz. Therefore, the antenna achieved the best results in terms of many most important parameters, the reflection coefficient is <-10 dB, return loss is <-25 dB, and voltage standing wave ratio (VSWR) is < 2. In addition, the efficiency of the antenna for all frequencies from 70% to 97%, the envelope correlation coefficient (ECC) is <0.001, and the diversity gain (DG) is 10 dB for all frequencies, while the maximum gain achieved by the antenna is 9 dB at 46 GHz. All these good results achieved by the antenna make it the prominent and potential element in most of the future 6G wireless communication systems.
Indirect power control of grid-connected photovoltaic system using fuzzy control with a three-level inverter
Authors: Essakhi Hassan , Farhat Sadik , Dbaghi Yahya , Daou Diyae
Published: August 2022

This paper proposes an enhanced study of a photovoltaic generator (PVG) connected to the grid. A fuzzy maximum power point tracking (MPPT) is used to extract maximum power. The control strategy adopted gives the possibility to control separately the active and reactive power. the voltage control at the input of the three levels inverter allows fixing the reference currents in the DQ frame to control indirectly the power injected into the grid. The use of a three-level neutral point clamped voltage source inverter (3L-NPC-VSI) with space vector pulse width modulation (SVPWM) control and the RL filter allows to have a quality current and voltage wave with a minimum total harmonic distortion (THD). The simulation results on MATLAB/Simulink confirm the performance of this proposed strategy in the steady-state with high efficiency.
Efficacy and Safety of Dapagliflozin in Heart Failure With Mildly Reduced or Preserved Ejection Fraction According to Age: The DELIVER Trial
Authors: Peikert Alexander , Martinez Felipe A. , Vaduganathan Muthiah , Claggett Brian L. , Kulac Ian J. , Desai Akshay S. , Jhund Pardeep S. , de Boer Rudolf A. , DeMets David , Hernandez Adrian F. , Inzucchi Silvio E. , Kosiborod Mikhail N. , Lam Carolyn S.P. , Shah Sanjiv J. , Katova Tsvetana , Merkely Béla , Vardeny Orly , Wilderäng Ulrica , Lindholm Daniel , Petersson Magnus , Langkilde Anna Maria , McMurray John J.V. , Solomon Scott D.
Published: August 2022

Background:

The prevalence of heart failure with mildly reduced or preserved ejection fraction markedly increases with age, with older individuals disproportionately facing excess risk for mortality and hospitalization.

Methods:

The DELIVER trial (Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure) randomized patients with New York Heart Association functional class II–IV and left ventricular ejection fraction >40% to either dapagliflozin or placebo for a median follow-up period of 2.3 years. We examined efficacy and safety outcomes by age categories (<55, 55–64, 65–74, and ≥75 years) and across age as a continuous measure.

Results:

Among 6263 randomized patients (aged 40–99 years, mean age 71.7±9.6 years), 338 (5.4%) were <55 years, 1007 (16.1%) were 55–64 years, 2326 (37.1%) were 65 to 74 years, and 2592 (41.4%) were ≥75 years. Dapagliflozin reduced the risk of the primary composite outcome compared with placebo in all age categories (
P
interaction
=0.95) and across the age spectrum as a continuous function (
P
interaction
=0.76). Similar benefits were observed for the components of the primary outcome, with no significant interaction between randomized treatment and age category. Adverse events occurred more frequently with increasing age, but there were no significant differences in predefined safety outcomes between patients randomized to dapagliflozin and placebo across all age categories.

Conclusions:

In patients with heart failure and mildly reduced or preserved ejection fraction enrolled in DELIVER, dapagliflozin reduced the combined risk of cardiovascular death or worsening heart failure events across the spectrum of age, with a consistent safety profile, including among the traditionally under-treated older segment of patients ≥75 years.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT03619213.
Efficacy and Safety of Dapagliflozin According to Frailty in Patients With Heart Failure: A Prespecified Analysis of the DELIVER Trial
Authors: Butt Jawad H. , Jhund Pardeep S. , Belohlávek Jan , de Boer Rudolf A. , Chiang Chern-En , Desai Akshai S. , Drożdż Jarosław , Hernandez Adrian F. , Inzucchi Silvio E. , Katova Tzvetana , Kitakaze Masafumi , Kosiborod Mikhail N. , Lam Carolyn S.P. , Maria Langkilde Anna , Lindholm Daniel , Bachus Erasmus , Martinez Felipe , Merkely Béla , Petersson Magnus , Saraiva Jose F. Kerr , Shah Sanjiv J. , Vaduganathan Muthiah , Vardeny Orly , Wilderäng Ulrica , Claggett Brian L. , Solomon Scott D. , McMurray John J.V.
Published: August 2022

Background:

Frailty is increasing in prevalence. Because patients with frailty are often perceived to have a less favorable risk/benefit profile, they may be less likely to receive new pharmacologic treatments. We investigated the efficacy and tolerability of dapagliflozin according to frailty status in patients with heart failure with mildly reduced or preserved ejection fraction randomized in DELIVER (Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure).

Methods:

Frailty was measured using the Rockwood cumulative deficit approach. The primary end point was time to a first worsening heart failure event or cardiovascular death.

Results:

Of the 6263 patients randomized, a frailty index (FI) was calculable in 6258. In total, 2354 (37.6%) patients had class 1 frailty (FI ≤0.210; ie, not frail), 2413 (38.6%) had class 2 frailty (FI 0.211–0.310; ie, more frail), and 1491 (23.8%) had class 3 frailty (FI ≥0.311; ie, most frail). Greater frailty was associated with a higher rate of the primary end point (per 100 person-years): FI class 1, 6.3 (95% CI 5.7–7.1); class 2, 8.3 (7.5–9.1); and class 3, 13.4 (12.1–14.7;
P
<0.001). The effect of dapagliflozin (as a hazard ratio) on the primary end point from FI class 1 to 3 was 0.85 (95% CI, 0.68–1.06), 0.89 (0.74–1.08), and 0.74 (0.61–0.91), respectively (
P
interaction
=0.40). Although patients with a greater degree of frailty had worse Kansas City Cardiomyopathy Questionnaire scores at baseline, their improvement with dapagliflozin was greater than it was in patients with less frailty: placebo-corrected improvement in Kansas City Cardiomyopathy Questionnaire Overall Summary Score at 4 months in FI class 1 was 0.3 (95% CI, −0.9 to 1.4); in class 2, 1.5 (0.3–2.7); and in class 3, 3.4 (1.7–5.1;
P
interaction
=0.021). Adverse reactions and treatment discontinuation, although more frequent in patients with a greater degree of frailty, were not more common with dapagliflozin than with placebo irrespective of frailty class.

Conclusions:

In DELIVER, frailty was common and associated with worse outcomes. The benefit of dapagliflozin was consistent across the range of frailty studied. The improvement in health-related quality of life with dapagliflozin occurred early and was greater in patients with a higher level of frailty.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT03619213.