bluuebunny/crossref_metadata_2025 huggingface dataset:
Proteinuria and Risk for Heart Failure in 55,191 Patients Having History of Cancer
Authors: Suzuki Yuta , Kaneko Hidehiro , Okada Akira , Fujiu Katsuhito , Michihata Nobuaki , Jo Taisuke , Takeda Norifumi , Morita Hiroyuki , Kamiya Kentaro , Matsunaga Atsuhiko , Ako Junya , Node Koichi , Nangaku Masaomi , Yasunaga Hideo , Komuro Issei
Published: December 2022

Introduction: We examined the association of proteinuria with the risk for heart failure (HF) and other cardiovascular disease (CVD) events in patients with prior history of breast, colorectal, or stomach cancer using a nationwide population-based database. Methods: We conducted this retrospective observation study using the JMDC Claims Database and analyzed 55,191 patients with prior history of breast, colorectal, or stomach cancer. The median age was 54 (48–60) years, and 20,665 participants (37.4%) were men. Using urine dipstick data at baseline, 3,945 and 1,521 participants were categorized as having trace and positive proteinuria, respectively. Using Cox proportional hazards models, we examined the relationship of proteinuria with the incidence of HF and other CVD events. Results: Over a mean follow-up of 2.8 ± 2.2 years, 1,597 HF, 124 myocardial infarction, 1,342 angina pectoris, 719 stroke, and 361 atrial fibrillation events were recorded. Kaplan-Meier curves showed that the cumulative incidence for HF increased with proteinuria category (log-rank p < 0.001). After multivariable adjustment, hazard ratios of trace and positive proteinuria for HF were 1.24 (95% CI, 1.04–1.47) and 1.62 (95% CI, 1.30–2.02), respectively. The presence of proteinuria was also associated with a higher risk for angina pectoris and atrial fibrillation. Discussion: Proteinuria was associated with a greater risk of developing HF and other CVD events in patients with prior history of cancer. The optimal management strategy for patients with proteinuria and cancer needs to be established for the prevention of HF in cancer patients.
Gene Variants in Two Families with Inherited Coagulation Factor XI Deficiency and Identification of Mutations
Authors: Jiang Shuting , Chen Yuan , Liu Meina , Zeng Manlin , Yang Lihong , Jin Yanhui , Jia Kaiqi , Wang Mingshan
Published: December 2022

Introduction: Mutations in the F11 gene can cause factor XI (FXI) deficiency, leading to abnormal coagulation activity and injury-related bleeding tendency. Therefore, identifying F11 gene mutations and studying the molecular basis will help us understand the pathogenesis of FXI deficiency. Methods: Coagulation tests and gene sequencing analysis of all members were performed. FXI wild-type and mutant expression plasmids were constructed and transfected into HEK293FT cells. The FXI protein expression level was evaluated by ELISA and Western blot. Results: The FXI activity (FXI:C) and FXI antigen (FXI:Ag) of proband-1 were decreased to 2% and 5%, respectively. FXI:C and FXI:Ag of proband-2 were reduced to 15% and 32%, respectively. Four mutations were found in the two unrelated families, including c.536C>T (p.T179M), c.1556G>A (p.W519*), c.434A>G (p.H145R), and c.1325_1325delT (p.L442Cfs*8). In vitro studies in transiently transfected HEK293FT cells demonstrated that p.T179M, p.W519*, and p.L442Cfs*8 mutations significantly lowered the FXI levels in the culture media. The FXI levels in the culture media and cell lysates of p.H145R mutation were similar to the wild type. Conclusion: Our results confirm that the four mutations in the F11 gene are causative in the 2 FXI deficiency families. Moreover, the p.H145R mutation is a cross-reactive material (CRM)-positive phenotype. The other three mutations are CRM-negative phenotypes and lead to FXI protein secretion disorder.
Feasibility of Modified Endobronchial Ultrasound-Guided Intranodal Forceps Biopsy: A Retrospective Analysis
Authors: Konno-Yamamoto Aya , Matsumoto Yuji , Imabayashi Tatsuya , Tanaka Midori , Uchimura Keigo , Nakagomi Takahiro , Yanase Komei , So Clara , Ohe Yuichiro , Tsuchida Takaaki
Published: December 2022

Background: Endobronchial ultrasound (EBUS)-guided intranodal forceps biopsy (IFB), a diagnostic bronchoscopic technique for intrathoracic lymphadenopathy, is performed following EBUS-guided transbronchial needle aspiration (TBNA). The current EBUS-IFB technique is complex and provides small sample volumes. We modified this technique to allow the use of standard-sized forceps. Objectives: The aim of this study was to assess the feasibility of the modified EBUS-IFB technique, which combines standard-sized forceps with standard EBUS-TBNA equipment. Method: This retrospective analysis included consecutive patients scheduled for EBUS-TBNA with attempted additional IFB between July 2020 and March 2021. The feasibility indices of IFB, technical success rate, diagnostic accuracy, and major complications were retrospectively investigated. We performed semi-quantitative evaluation of the histological specimens and univariable analyses to identify factors associated with IFB failure. Results: During the study period, 295 patients underwent 307 EBUS-TBNAs; 195 cases were included in the analyses. Target lesions were mainly mediastinal lymph nodes (134 cases, 68.7%); the most frequent sites were #7 (61 cases) and #4R (50 cases). The median lesion size was 16.1 mm, the technical IFB success rate was 90.8%, and the diagnostic accuracy of the TBNA and IFB combination was 99.5%. One patient was lost to follow-up. Univariable analyses did not identify any factors involved in technical IFB failure. Major complications of pneumonia and pneumothorax occurred in 2 cases (1.0%). The median histological score was significantly higher in the IFB group than in the TBNA group (1.67 vs. 1.50, p = 0.032). Conclusions: Modified EBUS-IFB, combining standard-sized forceps with common EBUS-TBNA equipment, is feasible with few major complications.
Sex Differences in Comorbidities of Pediatric Craniosynostosis at Presentation
Authors: Presto Peyton , Collins Reagan A. , Garza John , Zeitouni Omar Fadi , Nagy Laszlo
Published: December 2022

Introduction: Craniosynostosis is a common pediatric presentation in which the premature fusion of one or more cranial sutures results in a misshapen skull. This birth defect is often associated with comorbidities due to structural impacts on nearby anatomical features. While there is some evidence for a male predominance among craniosynostosis patients, little has been investigated regarding sex differences in comorbidities of this condition. This study seeks to explore potential sexual dimorphisms in craniosynostosis patients at the time of presentation. Methods: We conducted a retrospective, cross-sectional review of male and female non-syndromic craniosynostosis (NSC) patients between the ages of 1 month and 9 years that were evaluated at a 500-bed academic hospital or a 977-bed private hospital in Lubbock, TX, USA. Common comorbidities including ophthalmologic diagnoses, developmental delays, obstructive sleep apnea, chronic otitis media, hearing loss, chronic headaches, and seizure disorders were evaluated. The NSC cohort was compared to a similarly aged trauma group that represented the normal population. Results: 175 NSC patients fit the inclusion criteria, of which 109 (62%) were male. A diagnosis of craniosynostosis was significantly associated with ophthalmological diagnoses (p < 0.0001), chronic otitis media (p < 0.0001), developmental delays (p < 0.0001), and hearing loss (p = 0.0047). Male NSC patients were less likely to present with ophthalmological diagnoses (p = 0.0010) or hearing loss (p = 0.0052) than females. Conclusions: Our findings expand on current literature evaluating possible comorbidities of NSC, particularly supporting the association with ophthalmological diagnoses, chronic otitis media, developmental delays, and hearing loss. We also report sex differences in ophthalmological diagnoses and hearing loss for NSC patients. These findings can serve to educate physicians of symptoms requiring prompt recognition and management in these patients.
ArSentBERT: fine-tuned bidirectional encoder representations from transformers model for Arabic sentiment classification
Authors: Abdelfattah Mohamed Fawzy , Fakhr Mohamed Waleed , Rizka Mohamed Abo
Published: December 2022

Sentiment analysis in the Arabic language is challenging because of its linguistic complexity. Arabic is complex in words, paragraphs, and sentence structure. Moreover, most Arabic documents contain multiple dialects, writing alphabets, and styles (e.g., Franco-Arab). Nevertheless, fine-tuned bidirectional encoder representations from transformers (BERT) models can provide a reasonable prediction accuracy for Arabic sentiment classification tasks. This paper presents a fine-tuning approach for BERT models for classifying Arabic sentiments. It uses Arabic BERT pre-trained models and tokenizers and includes three stages. The first stage is text preprocessing and data cleaning. The second stage uses transfer-learning of the pre-trained models’ weights and trains all encoder layers. The third stage uses a fully connected layer and a drop-out layer for classification. We tested our fine-tuned models on five different datasets that contain reviews in Arabic with different dialects and compared the results to 11 state-of-the-art models. The experiment results show that our models provide better prediction accuracy than our competitors. We show that the choice of the pre-trained BERT model and the tokenizer type improves the accuracy of Arabic sentiment classification.
Smart pictorial dictionary via mobile augmented reality
Authors: Khazali Nurul Asyiqin , Ismail Ismassabah , Sakamat Norzehan , Mat Zain Nurul Hidayah , Mohamed Noh Nor Azida , Ishak Norshahidatul Hasana
Published: December 2022

Augmented reality (AR) technology offers many benefits for language teaching and learning. Using the AR technique in pedagogy attracts and engages children to learn and memorize easily, even in a short time. Visual representation learning method like a pictorial dictionary is one of the beginnings of learning for children. It helps children to visualize the object and memorize it in effective ways. Based on the survey conducted in one of the primary schools at Merlimau, Melaka, it was found that the children have difficulties in learning English. The development of pictorial dictionaries with the combination of AR technology in 3D that are presented in the form of mobile applications can be used to improve existing learning methods in English. The method used during the development of this application is the ADDIE model, which comes with five phases: analysis, design, development, implementation, and evaluation. The development of the ‘smart pictorial dictionary via mobile AR application has been done successfully and has received positive results. Based on the evaluation using the attention relevance confidence satisfaction (ARCS) model, the output has an overall mean of 4.58, which shows that using AR technology in early childhood learning makes children learn more.
A novel microstrip fed triple band patch antenna with TM10, TM02 and TM12 induced modes
Authors: Kinagi Revansiddappa S. , Yadahalli Ravi M. , Patil Siddarama R.
Published: December 2022

In this study, a patch antenna with three different operating frequencies (2.94 GHz, 4.5 GHz, and 5.7 GHz) is proposed. The dimensions of the antenna are as follows: 23.4 mm by 30.4 mm by 1.6 mm. The triple band characteristic may be achieved by adjusting the width of the quarter wave transformer (QWT), which in turn modifies the impedance matching in such a manner as to excite the TM10, TM02, and TM12 modes. These modes are able to have additional verification provided by the current distribution on the patch. Altering the width of the QWT provides the proposed antenna with the ability to fine-tune its resonant frequencies. At the resonant frequencies, the impedance bandwidths of -10 dB are 69 MHz, 40 MHz, and 110 MHz, respectively. 5.7 GHz has a gain of 1.5 dB, while 4.5 GHz has a gain of 0.7 dB, and 2.94 GHz has a gain of 2 dB. Additionally, this antenna finds its applications in wireless systems in the S and C bands of the frequency spectrum. The antennas are validated using a vector network analyzer (VNA) after being simulated with mentor graphics software three-dimensional electromagnetic modeling (3DEM) and analyzed with it.
Design UWB antenna with notch band for WiMAX application
Authors: Ali Alaa Mohsen , Jassim ِAli Khalid
Published: December 2022

During the last two decades, radar, remote sensing, and imaging applications have all made use of ultra-wide band (UWB) technology. UWB systems are susceptible to interference from narrowband signals, hence this work provides a single-notch antenna for the UWB system. There are two stages to the design process. After creating the baseband antenna, it is necessary to create a notched band UWB antenna by carving a slot into patch antenna. In the UWB range (3.1-10.6) GHz, the UWB antenna has the dimensions of 20x30 mm with substrate thickness 1.6 mm made from FR4 lossy. The design relative permittivity was 4.3, a rectangular patch with a portion of the ground is used in the design. A typical slot-shaped resonator is connected to the patch to reject a frequency band (3.273-3.81) GHz which is a world interoperability for microwave access (WiMAX) to solve the problem of the interference with other bands in UWB system For WiMAX applications. The suggested UWB filter will achieve notch band response centered at the resonance frequency of 3,4 GHz. Analysis CSTS v2020 software was used to carry out the simulation. Priority should be given to what has been learned rather than what has been accomplished.
A cascade multi-level inverter topology with reduced switches and higher efficiency
Authors: Al-Atbee Osama Yaseen Khudair , Abdulhassan Khalid M.
Published: December 2022

The use of multi-level inverter (MLI) technologies in high-power, medium-voltage energy regulation has been more popular in recent years. Despite the fact that the multilayer inverter has a lot of benefits, it has certain disadvantages in the layer of higher levels due to the enormous number of semiconductor switches that it employs in its construction. This may result in the inverter being of a huge size and costing a lot of money, as well as a significant rise in losses. As a result, the new MLI is suggested to minimize the number of switches in order to alleviate these challenges. This article describes a cascaded multilevel inverter with lower devices. The suggested cascaded multilevel inverter is intended for use in minimizing total harmonic distortion (THD), as shown in MATLAB/Simulink by the graph. Multilevel inverters benefit from the switching pattern of semiconductor switches, which may be used to improve their overall performance. This approach lowers the switching loss while simultaneously increasing the efficiency. In order to validate the suggested approach, simulations are carried out using the MATLAB/Simulink programming environment.
Human–machine interaction for motorized wheelchair based on single-channel electroencephalogram headband
Authors: Abdal Yasir M. , Ayoub Mohammed G. , Farhan Mazin N. , Abdulla Hasan A.
Published: December 2022

Human machine interaction (HMI) allows persons to control and interact with devices. Starting from elementary apparatus which acquires input bio-signals to controlling various applications. Medical applications are amongst the very important applications of HMI. One of these medical applications is assisting fully/partially paralyzed patients to restore movements or freely move using exoskeletons or motorized wheelchairs. Helping patients with spinal cord injury or serious neurological diseases to restore their movements is a key role objective for most researchers in this field. In this paper, an EEG-based HMI system is proposed to assist patients with tetraplegia/quadriplegia to mentally control a motorized wheelchair so they can move freely and independently. EEG power spectrum (α, β, δ, θ, and γ) from the frontal lobe of brain is recorded, filtered and wirelessly sent to the wheelchair to control directions and engine status. Four different experiments were conducted using the proposed system in order to validate the performance. Two different GUIs scenarios (cross-shaped and horizontal bar) were used with the experiments. Results showed that the horizontal bar scenario considered more user friendly while the cross-shaped is the more suitable for navigation. The implemented system can be equipped with modules and sensors such as GPS, ultrasound and accelerometer that improve the system performance and reliability.
Image preprocessing analysis in handwritten Javanese character recognition
Authors: Anggraeny Fetty Tri , Via Yisti Vita , Mumpuni Retno
Published: December 2022

The handwriting produced by each person is unique, so each person has a different stroke, even though they write the same letter. Handwritten Javanese is an exciting topic to study, in addition to scientific purposes and preserving Indonesian culture. The Javanese character image dataset is aksara Jawa: aksara Jawa custom dataset from the Kaggle database consists of 2,154 train data and 480 evaluation data. This research proposed to analyze the impact of some preprocessing methods in recognizing handwritten Javanese characters. The preprocessing methods are dilation, skeletonization, and noise reduction. The first process is segmentation for region of interest (ROI) extraction, then various preprocessing is used, and finally, the recognition step neural network (NN) to measure the effectiveness of the preprocessing method. The experiment shows that all preprocessing methods (dilation, skeletonization, and noise reduction) give excellent results, especially on the black background color, reaching 98% accuracy. Other experimental findings show that in any preprocessing combination, the black background accuracy is better than the white one.
Temperature and performance evaluation of multiprocessors chips by optimal control method
Authors: Hanafi Por Porya Soltani , Ramazani Abbas , Toodeshki Mojtaba Hosseini
Published: December 2022

Multi-core processors support all modern electronic devices nowadays. However, temperature and performance management are one of the most critical issues in the design of today’s microprocessors. In this paper, we propose a framework by using an optimal control method based on fan speed and frequency control of the multi-core processor. The goal is to optimize performance and at the same time avoid violating an expected temperature. Our proposed method uses a high-precision thermal and power model for multi-core processors. This method is validated on asymmetric ODROID-XU4 multi-core processor. The experimental results show the ability of the proposed method to achieve the adequate trade-off between performance and temperature control.
Carbon nanomaterials advancements for biomedical applications
Authors: Abu Owida Hamza , Turab Nidal M. , Al-Nabulsi Jamal
Published: December 2022

The development of new technologies has helped tremendously in delivering timely, appropriate, acceptable, and reasonably priced medical treatment. Because of developments in nanoscience, a new class of nanostructures has emerged. Nanomaterials, because of their small size, display exceptional physio-chemical capabilities such as enhanced absorption and reactivity, increased surface area, molar extinction coefficients, tunable characteristics, quantum effects, and magnetic and optical properties. Researchers are interested in carbon-based nanomaterials due to their unique chemical and physical properties, which vary in thermodynamic, biomechanical, electrical, optical, and structural aspects. Due to their inherent properties, carbon nanomaterials, including fullerenes, graphene, carbon nanotubes (CNTs), and carbon nanofibers (CNFs), have been intensively studied for biomedical applications. This article is a review of the most recent findings about the development of carbon-based nanomaterials for use in biosensing, drug delivery, and cancer therapy, among other things.
A comparison statement on DCPWM based conducted EMI noise mitigation process in DC-DC converters for EV
Authors: Kalaiarasu Srinivasan , Natarajan Sudhakar
Published: December 2022

Fast switching techniques at high frequencies are employed for quick charging and energy conversion in electric vehicle (EV) power converters. Electromagnetic interference (EMI) noise is produced due to the fast-switching process, which may result in malfunctioning and degraded EV performance. In this work, a digital chaotic pulse width modulation (DCPWM) technique-based EMI noise mitigation process has been applied to elementary positive output super lift Luo (EPOSLL), two-stage cascaded boost (TSCB), and ultra-lift Luo (ULL) converters, and a comparison study has been conducted with EMI reduction levels as per electromagnetic compatibility (EMC) standards. The duty cycle is varied from 0.5 to 0.67 to get the desired output voltage as an input of 10V to achieve the power ratings of 40 W to 80 W for various load conditions. A total of 4 dBV (3 V) to 15 dBV (10 V) of conducted EMI noise has been mitigated for the above-said converters. Simulation results based on power spectrum density and hardware results based on fast fourier transform (FFT) of output voltages are analyzed. According to the findings, the ULL converter is more acceptable for electromagnetic compatibility in EV applications than EPOSLL and TSCB DC-DC converters.
Symmetric longitudinal Mach-Zehnder modulator using lithium niobate
Authors: Hbeeb Sadeq Adnan , Abdullah Ahmad S. , Alshamary Haider Ali Jasim
Published: December 2022

There are many problems that restrict the work of the Mach-Zehnder modulator (MZM), including the lack of using various windows of wavelengths, the large half-wave voltage, and the small optical confinement factor. In this paper, a mathematical model for MZM based on lithium niobate (LN) is designed to solve these problems. In this model, a wide window of optical wavelength from visible-to-infrared (632.8-to-1560 nm) was utilized. Moreover, it achieved a better modulation with lower attenuation and a lower dispersion by the window (1550-1560) nm. The other window of optical wavelength is about (632.8-to-634 nm), and (646-to-647 nm) which can be used for short-haul applications to reduce attenuation and dispersion. Furthermore, a small length of the arm, about 2-3 mm, was utilized to accomplish a large change of the refractive index and lower applied voltage of up to 250 V. The small operation half-wave voltage achieved about 1.2 V leading to better switching of the MZM. In addition, a large optical confinement factor of ≤1 unitless was obtained. Even better performance of MZM was attained by using a suitable length arm of MZM of about 2 mm, along with an electric field of about 175 V/mm and 233 V/mm using poling at 100 V.
Alzheimer’s disease classification and detection by using AD-3D DCNN model
Authors: Begum Afiya Parveen , Selvaraj Prabha
Published: December 2022

Deep learning techniques had achieved notability in the healthcare domain and are more specialized in medical imaging. Alzheimer’s disease (AD) enduring nervous system disorder affects elderly senior people with loss of cognitive processes and loss of memory. Early and précised detection of AD is essential for patient medical assistance and potential treatment. Since deep learning algorithms are adequate to analyze the enormous dataset and extract higher-level features from it, unlike traditional machine learning algorithms. This work presents a system-based deep convolutional neural network (DCNN) algorithm to detect AD and its stages. A DCNN and 3D densely connected convolutional neural networks (3D-DCNN) are used to perform the feature analysis and classification task. Finally, the features learned from the DCNN and 3D-DCNN are concatenated to classify disease. Alzheimer's disease neuroimaging initiative (ADNI) dataset is used for experimental analysis. The proposed AD-3DCNN model is compared to existing pre-trained models like Xception, inception V3, mobile Net, and dense Net and has recorded a highest accuracy for predicting different stages of AD. Apart from accuracy, various performance measures are used for evaluating system performance as precision, recall, and F1 score accuracy.
Systematic literature review: application of deep learning processing technique for fig fruit detection and counting
Authors: Kamaruzaman Ahmad Shukri Firdhaus , Ani Adi Izhar Che , Farid Mohammad Afiq Hamdani Mohammad , Bakar Siti Juliana Abu , Maruzuki Mohd Ikmal Fitri , Setumin Samsul , Hadi Mokh. Sholihul
Published: December 2022

Deep learning has shown much promise in target identification in recent years, and it's becoming more popular in agriculture, where fig fruit detection and counting have become important. In this study, a systematic literature review (SLR) is utilised to evaluate a deep learning algorithm for detecting and counting fig fruits. The SLR is based on the widely used 'Reporting Standards for Systematic Evidence Synthetics' (ROSES) review process. The study starts by formulating the research questions, and the proposed SLR approach is critically discussed until the data abstraction and analysis process is completed. Following that, 33 relevant research involving the agriculture sector, fruit, were selected from many studies. IEEE, Scopus, and Web of Sciences are three databases to investigate. Due to the lack of fig fruit research, fruit and vegetable studies have been included because they use similar methods and processes. The SLR found that various deep learning algorithms can count fig fruit in the field. Furthermore, as most approaches obtained acceptable results, deep learning's performance is acceptable in F1-score and average precision (AP), higher than 80%. Moreover, improvements can be produced by enhancing the existing deep learning model with the personal dataset.
Faults detection, location, and classification of the elements in the power system using intelligent algorithm
Authors: Alabbawi Ali Abbawi Mohammed , Alnaib Ibrahim Ismael , Al-Yozbaky Omar Sharaf Al-Deen Yehya , Mohammed Karam Khairullah
Published: December 2022

This study proposes an intelligent protection relay design that uses artificial neural networks to secure electrical parts in power infrastructure from different faults. Electrical transformer and transmission lines are protected using intelligent differential and distance relay, respectively. Faults are categorized, and their locations are pinpointed using three-phase current values and zero-current characteristics to differentiate between non-earth and ground faults. The optimal aspects of the artificial neural network were chosen for optimal results with the least possible error. Levenberg-Marquardt was established as the ideal training technique for the suggested system comprising the differential relay. Levenberg-Marquardt was the optimal training technique for the proposed framework consisting of the differential relay. Fault detection and categorization were performed using 20 and 50 hidden layers, and the corresponding error rates were 9.9873e-3 and 1.1953e-29. In the context of fault detection by the distance relay, the hidden layer neuron counts were 400, 250, and 300 for fault detection, categorization, and location; training error rates were 7.8761e-2, 1.2063e-6, and 1.1616e-26, respectively.
Application of named entity recognition method for Indonesian datasets: a review
Authors: Budi Indra , Suryono Ryan Randy
Published: December 2022

A name entity (NE) is a proper name that designates a person, location, or organization. For humans, named entity recognition (NER) is a straightforward process insofar as many named entities are self-names, and most of them have initial capital letters and can be easily recognized, but it is very difficult for machines. This study discusses research trends in the application of NER to Indonesian datasets, particularly as it concerns certain tasks, datasets, methods/techniques, and entity labels. By conducting a systematic literature review (SLR) and bibliometric analysis with VOSviewer, this article hopes to provide opportunities for adopting old methods, combining models from previous research, and even proposing new methods. In addition, the motivation for doing SLR at NER is to look for new strategies in the supervision of financial technology (Fintech). If machines can find illegal Fintech entities on social media and online news, it can help the government to block these illegal Fintech entities. To this end, this study provides an overview of research trends in applying the NER method to Bahasa Indonesia (Indonesian) datasets, including the extraction of news articles, the monitoring of floods, and traffic.
Mobile agents assisted data collection in wireless sensor networks utilizing ZigBee technology
Authors: Tran Hoang Thuan , Nguyen Cuong V. , Phung Nghia Trung , Nguyen Minh T.
Published: December 2022

Wireless sensor networks (WSNs) are being utilized widely in many different industries, including agriculture, medicine, and the military. They contain many distributed sensors to monitor physical or environmental factors, such as temperature, humidity, pressure, etc. and use various communication technologies, including WiFi, radio frequency (RF), Bluetooth, and ZigBee. ZigBee is always a preferred choice for applications in WSNs. ZigBee has remarkable capabilities, such as saving energy and transmitting data over long distances. ZigBee end devices, as well as a ZigBee coordinator (ZC) and a ZigBee router (ZR), are crucial components of the WSNs. This article discusses the fundamentals of the ZigBee network, one of the most popular data transmission technologies in wireless sensor networks (WSNs). Additionally, we want to discuss the ZigBee communication technologies and their applications, particularly in the networks. Different scenarios for mobile agents including their routing protocols in WSNs are considered. Simulation results of different scenarios demonstrate how easily scalability can be achieved and provide a foundation for further ZigBee application development. At last, some conclusions and ideas are presented for considerations.
Apply three metaheuristic algorithms for energy storage-based integrated power system to reduce generation cost
Authors: Tran Dao Trong , Ha Phu Trieu , Nguyen Hung Duc , Nguyen Thang Trung
Published: December 2022

This research applies new computing methods to optimize the operation of a typical hydrothermal system for one day. The system consists of one thermal power plant (TPP) and one pumped storage hydropower plant (PSHP). The main target of the research is to determine the amount of water that must be discharged or pumped back to the reservoir to reduce the total electricity production cost (TEPC) of TTP. The volumes of water storage in the reservoir at the beginning and end points of the schedule must be the same. Three meta-heuristic algorithms are applied, including Coot optimizer (COOT), aquila optimizer (AO), and particle swarm optimizations (PSO) in which COOT and AO were proposed at early 2021. The results show that the effectiveness of COOT is better than AO, PSO and several methods in previous studies. Hence, COOT is considered a powerful computing tool for the problem.
Modeling of power numerical relay digitizer harmonic testing in Wavelet transform
Authors: Awada Emad , Radwan Eyad , Nour Mutasim , Al-Qaisi Aws , Al-Rawashdeh Ayman Y.
Published: December 2022

In today’s modern power devices and rapid growth power demands, the need for precise and accurate protection relays is a must for the power distribution system. That is, to segregate faulty sectors within fewer cycles, power relays should perform at the highest level of accuracy to detect abnormal conditions in power distribution. Therefore, this work will investigate the enhancement of the numerical relay testing in terms of harmonic distortions effect on the digitized output waveform as direct causes of relay failures. However, as it is an expensive process of testing the digitizing element of the numerical relay, this paper proposes a new algorithm of Wavelet transforms in power quality signal processing testing using MATLAB simulation. As this newly proposed method of advanced waveform analysis algorithm will enhance the testing process of digitizing elements, and reduce data compiling complexity, a comparison between conventional Fourier Transforms testing and Wavelet algorithm under abnormal conditions will be simulated based on inserting multi harmonics effect. As a result, based on the Wavelet bank of filters, de-noising, and decomposition structure filters, Wavelet has provided promising results in defining the effect of waveform distortion tripping time, fault location, total harmonic distortion, signal-to-noise ratio, and spurious-free dynamic range.
Web application: efficient immunization by vaccination for children and adults
Authors: Cruz Fernandez Jimmy , Andrade-Arenas Laberiano
Published: December 2022

The investigation analysed the correct use of the vaccination scheme in order to achieve efficient immunization for children and adults in the midst of the pandemic; through the use of a web application that will greatly facilitate people in their immunization, since the web application will allow them to create alerts to have reminders at times personalized by the user. Also, the web application will provide a schedule complete personalized immunization according to the personal information of the registered user, on the other hand they will also be able to view the information of the different vaccination centers to achieve a correct immunization. The methodology was Scrum, allows prepared for change and to be able to adapt, as well as allowing proper planning for efficient work. The result obtained from the investigation can be seen in the sur-vey carried out on parents; where satisfactory percentages were obtained since 98% of respondents indicated that the use of a web application for the correct immunization of people is of the utmost importance, in addition to the survey they were shown the prototype of the application and indicated that its use was efficient, educational and easy to use for everyone.
Jogos e problemas olímpicos envolvendo caminhos mínimos e desigualdades
Authors:   Universidade de São Paulo. Faculdade de Zootecnia e Engenharia de Alimentos, López Linares Juan
Published: December 2022

Este material didático é utilizado durante algumas das aulas dos cursos "Geometria Olímpica com GeoGebra I e II" para professores de Matemática dos Ensinos Fundamental e Médio de todo o Brasil. O texto conta com cinquenta e três figuras que facilitam acompanhar as resoluções. Todas contam como complemento links para os gráficos interativos no site do GeoGebra e, vários, a resolução em vídeo do YouTube. O conteúdo está dividido em duas partes: um conjunto de dez jogos baseados na desigualdade triangular e um grupo de sete problemas resolvidos de olimpíadas internacionais de Matemática. Nestes últimos também aparecem as desigualdades de Cauchy-Schwarz, das Médias e de Erdős-Mordell. O diferencial na utilização do GeoGebra justifica-se pela disponibilidade gratuita do software, tanto online como aplicativos para computadores e celulares. As construções geométricas podem ser criadas de forma dinâmica, em que se exploram diversas configurações de um mesmo desafio. O GeoGebra serve tanto como calculadora gráfica e numérica, utilizada para a verificação, como ferramenta para a apresentação, passo a passo, de uma demonstração rigorosa.
A l’épreuve des trajectoires migratoires et transférentielles: un dispositif d'accompagnement et de soin d’un enfant autiste et de sa famille
Authors: Souvignet Aurélie Maurin
Published: December 2022

Diagnostiqué autiste par une plateforme dédiée, Katal a 4 ans lorsqu’il est reçu pour la première fois en centre de soin ambulatoire. Devant sa grande agitation psychomotrice et la difficulté pour ses parents de tisser un récit tout en étant contenant pour lui, nous décidons collectivement que cet enfant et sa famille seront reçues, autant que nécessaire, par un duo de professionnel: un psychomotricien et une psychologue, de sorte à pouvoir travailler dans un même temps et un même espace les dynamiques psychocorporelles, psychosociales et intersubjectives à l’œuvre dans cette situation préoccupante. Nous montrerons comment ce dispositif en introduisant des médiations thérapeutiques tout en acceptant d’en questionner la pertinence, a favorisé la figuration et la mise en récit de la trajectoire migratoire d’une extrême complexité pour cette famille, ouvrant ainsi la possibilité d’un dialogue entre enfant et adultes, mais aussi entre adultes, y compris un dialogue intérieur de reprise et de transformation de moments traumatiques liés à l’exil.
Os impasses ao acesso à intersubjetividade: observações clínicas de um bebê com risco de evolução autística
Authors: Saboia Camila
Published: December 2022

O artigo aborda os impasses vividos por um bebê com risco de autismo em seu processo de subjetivação. Estudos afirmam que há bebês que, muito precocemente, recusam-se a estabelecer trocas com o objeto materno, impossibilitando que a mãe entre em um estado de identificação com seu bebê, o que colocaria em pauta que o autismo infantil não se limitaria apenas a uma falha materna, mas se trataria de uma patologia multifatorial. Quais intervenções clínicas seriam necessárias para que a mãe e o bebê possam juntos (re)escrever uma nova narrativa psíquica?  Haveria um tipo de intervenção e de manejo clínico específico nos casos de bebês com risco de autismo? E como a psicanálise contemporânea, fundamentada pela leitura da intersubjetividade, nos ajudaria na compreensão da clínica da intervenção precoce?
Écrire-rêver le rapport à la pratique professionnelle d’un coordonnateur d’ULIS collège : la répétition d’une réalité inrêvée
Authors: Markakis Konstantinos
Published: December 2022

Pour ma recherche doctorale, j’ai exploré le rapport de certains coordonnateurs d’ULIS collège (unité localisée pour l’inclusion scolaire) à leurs propres pratiques professionnelles en France. Dans le cadre du projet nationale pour une école inclusive, les coordonnateurs d’ULIS sont des enseignants spécialisés qui proposent un enseignement adapté auprès des élèves reconnus en situation de handicap et mettent en œuvre le PPS (projet personnalisé de scolarisation), conçu pour chacun d’entre eux, en collaboration étroite avec les autres enseignants et acteurs du médico-social. À partir d’une approche clinique d'orientation psychanalytique en sciences de l’éducation et de la formation, j’ai souhaité explorer comment les enseignants spécialisés occupant cette fonction complexe vivaient leur métier sur le plan psychique. Dans cette perspective, j’ai mené des entretiens cliniques de recherche avec quatre professionnels. Ici, j’expose le dispositif d’analyse des entretiens mis en place dans l’après-coup et la place particulière de l’écriture comme une modalité d’élaboration psychique. Inspiré des travaux de T. Ogden (1994, 2005), le terme « écrire-rêver » désigne la rêverie sous-tendant le processus d’écriture dans ce dispositif, qui permet la représentabilité du lien interviewer-interviewé en rapport avec la pratique professionnelle. Pour illustrer ce propos, je présente l’analyse d’un seul entretien avec un coordonnateur, en restituant le chemin qui m’a amené à l'hypothèse de l’actualisation d’une réalité « inrêvée » (Ogden, 2005) dans l’entretien en rapport avec son lien aux autres enseignants du collège.
O laço mãe-bebê e o desenvolvimento infantil frente à toxoplasmose: um estudo de casos múltiplos
Authors: Colomé Carolina Schmitt , Dantas Cândida Prates , Olesiak Luísa da Rosa , Zappe Jana Gonçalves
Published: December 2022

Este estudo objetivou compreender as implicações da toxoplasmose congênita e pós-natal no laço mãe-bebê e no desenvolvimento do bebê. Realizou-se um estudo de casos múltiplos com duas díades de mães e bebês diagnosticados com toxoplasmose congênita ou pós-natal, através de entrevistas semiestruturadas com as mães e observação dos Indicadores Clínicos de Referência par o Desenvolvimento Infantil (IRDIs). O primeiro caso apresentou todos os indicadores presentes, revelando que o processo de desenvolvimento do bebê estava em andamento. O segundo caso teve dois indicadores ausentes, sinalizando um alerta frente a dificuldades da relação da díade. Destaca-se que a presença de intercorrências orgânicas pode afetar a constituição do laço mãe-bebê e o desenvolvimento do bebê, mas não implica, necessariamente, em consequências negativas, visto que se tratam de processos complexos, dinâmicos e multifatoriais.
Time response of increases in muscle performance after Low-Level Laser Therapy (LLLT) in weight training practitioners
Authors: Costa David Ribeiro , Costa Davidson Ribeiro , Delpasso Carolina Alves , Pessoa Diego Rodrigues , Ribeiro Luana Aparecida Pilato , Ribeiro Camila Alves Delpasso , Nicolau Renata Amadei
Published: December 2022

Many studies have demonstrated the effectiveness of low-level laser therapy (LLLT) on muscle performance. Nonetheless, ideal application parameters are not known yet. The interval from the laser application moment until the time of the exercise is amongst them. In addition, the literature does not offer adequate studies that analyse different interval times in the same test in humans. Thus, the present study proposes the examination of the two distinct intervals, from the irradiation moment to the instant of the exercise performance. Forty male volunteers were recruited and randomly divided into four groups - control, placebo, immediate laser and 10 min after laser – to participate in this study. The therapy was performed with laser at 830 nm, with a power of 30 mW, energy of 3 J, during a time of 100 seconds per point irradiation, in the belly of the biceps brachii muscle. The comparison of the groups consisted in the Max force analysis, muscular power and muscle fatigue tests executed in the isokinetic dynamometer, and the recruitment of fibers by electromyography surface (EMG) and blood lactate levels in the brachial biceps muscle of weight training practitioners. A significant level of 5% (p <0.05) was considered for data analysis. The parameters adopted in the application of LLT significantly increased muscle activity (RMS) in all protocols (peak force, power and muscular endurance). In addition, LLLT was also effective in maintaining muscle performance. It was concluded that the interval time from the moment of application of the LLLT until the performance of the exercise can influence in a different way the physical capacities tested.
Comportamento da frequência cardíaca, pressão arterial e duplo produto em atletas de Judô
Authors: Machado André Accioly Nogueira , Carvalho Nielpson Dias
Published: December 2022

O presente estudo tem a importância de verificar as alterações cardíacas durante o treinamento, servindo de indicador para o atleta melhorar sua performance, evitando esforço excessivo do miocárdio. O estudo possui natureza descritiva de abordagem quantitativa, cujos dados de DP foram obtidos por meio da multiplicação da Frequência Cardíaca e Pressão Arterial Sistólica e tabulada no programa Excel. Um grupo de vinte atletas, maiores de idade, participou da pesquisa. Durante a atividade, ocorreu um aumento de 42,6 bpm e os valores do DP nos atletas antes, durante e depois do treino foram de 10706,3, 16948,5 e 14089,6, respectivamente, mostrando que os indivíduos possuem um bom condicionamento. A partir dos resultados encontrados foi percebido que ocorreu alteração dos parâmetros hemodinâmicos nos diferentes momentos dos atletas e que podem influenciar no condicionamento físico e na prescrição de treino.
O aquecimento com uso de bola pesada compromete a velocidade de arremesso de atletas de Handebol
Authors: Barreto Renan Vieira , Dias Levy Yuri , Bassan Natália Menezes , Greco Camila Coelho , Denadai Benedito Sérgio , Lima Leonardo Coelho Rabello
Published: December 2022

O presente estudo investigou os efeitos agudos da realização de um protocolo de pré-ativação com bola pesada na força muscular dos rotadores mediais do ombro e velocidade de dois tipos de arremesso (estático e dinâmico em suspensão) em atletas de handebol. Foi identificada diminuição significante (p < 0,01) da velocidade de arremesso estático (-2,6 ± 1,3 m/s-1) após a realização da pré-ativação. Não foram identificadas alterações significantes na velocidade de arremesso em suspensão e em variáveis relacionadas à capacidade de produção de força medidas por meio de dinamometria (picos de torque isocinético a 60o.s-1 e 180o.s-1, pico de torque isométrico e taxa de desenvolvimento de torque isométrico máximo). Os resultados do presente estudo sugerem que o protocolo de pré-ativação investigado não só não resulta em melhoria de desempenho como pode, também, comprometer o mesmo.
O impacto da pandemia da Covid-19 na performance de atletas de Voleibol de alto rendimento
Authors: Morato Filho Pedro César , Soares Elder José Moraes , Vidal Davi Martins , Fonseca Lucas Augusto Niess Soares , Filho Tarcísio Fonseca , Galdino Leonardo Antônio dos Santos , Reis Márcio Fernandes dos , Mendes Nathália Barbosa do Espírito Santo
Published: December 2022

Os objetivos deste estudo foram analisar o impacto da paralisação pela pandemia no humor e na rotina de atletas de alta performance durante o isolamento social, e após o retorno às práticas esportivas, com base nos testes realizados em um clube profissional. Também comparar carga de treinamento e incidência de lesões em temporada prévia, com aquela realizada durante a pandemia da COVID-19. Foram incluídos 14 membros de uma equipe profissional masculina de voleibol em Juiz de Fora – MG, durante o período de dezembro/2020 a março/2021. Os atletas selecionados foram acompanhados durante a temporada regular de 2020/2021. Foram excluídos atletas masculinos da equipe que não compõem o time profissional e atletas do time feminino de qualquer categoria. Para efeito de comparação da carga de treino e da incidência de lesões entre as temporadas 2018/2019 e 2020/2021, foram obtidos dados históricos do próprio clube. Obteve-se como resultado que a carga de treino foi 58,2% menor quando comparada a temporada 2020/2021 a de 2018/2019. A perturbação total do humor decresceu ao longo do seguimento em 2020/2021, especialmente em indivíduos com maior tempo profissional. O número total de lesões diminuiu de 41, em 2018/2019, para 22, em 2020/2021, provavelmente pela menor carga de treino. Em suma, a pandemia, resultou em impactos negativos na carga de treino dos atletas analisados. Contudo, constatou-se que a perturbação total do humor (PTH) teve redução progressiva de seus níveis com o retorno às práticas esportivas. Este estudo traz associações significativas sobre a relação entre o afastamento dos atletas profissionais, seus índices de humor (PTH) e desempenho (carga de treino) no retorno às atividades.