bluuebunny/crossref_metadata_2025 huggingface dataset:
Inertia Assessment in Power Systems with High Penetration of Converter-Interfaced Generations Considering Power Limits
Authors: Gao Huisheng , Xin Huanhai , Huang Linbin , Hu Guang , Yang Yongheng
Published: September 2023

Inertia assessment is an important step for frequency stability analysis in power systems. Typically, the total inertia of all devices in the system is summed up to obtain the system inertia. However, such method may be optimistic when there are a considerable number of converter-interfaced generations (CIGs). Particularly, if the CIGs saturate under large disturbances, their inertia to be provided will be significantly reduced. To this end, this letter proposes a method to assess the system inertia considering the power limits. Then, the distribution of system inertia under uncertain power limits is also analyzed. Simulations are conducted to validate the analysis.
Lite-UNet: A Lightweight and Efficent Network for Cell Localization
Authors: Li Bo
Published: September 2023

Cell localization constitutes a fundamental research domain within the realm of pathology image analysis, with its core objective being the precise identification of cell spatial coordinates. The task has always involved the challenge of large color variations among cells, uneven distribution, and overlapping borders. Furthermore, in realistic cell localization scenarios, the existing state-of-the-art methods suffer from high computational costs and slow inference times, which severely reduce the efficiency of computer-assisted. To tackle the above issues, a lightweight and efficient cell localization model named Lite-UNet is proposed. Specifically, the Lite-UNet encompasses three pivotal modules. Firstly, we introduce a gradient aggregation module grounded in difference convolution. This module effectively mitigates the challenge posed by extensive color variations among cells by adeptly leveraging gradient information. Secondly, we propose an efficient plug-and-play graph correlation attention module, which optimizes the feature representation capabilities by encoding higher-order feature associations. Finally, we design a lightweight Ghost\_CBAM module that alleviates the difficulty of uneven cell distribution while forming the base module of the Lite-UNet. Extensive experiments show that our Lite-UNet is capable of locating cells in images quickly and accurately, thus further improving the efficiency of computer-assisted medicine.
A NEW MOBILE RF DRIVE TEST APPLICATION
Authors: Darix SAMANI SIEWE
Published: September 2023

To enhance the quality of service (QoS) provided to users, network operators are compelled to continually refine their network infrastructure through the iterative process of drive testing. Drive testing is a method used to measure and assess the coverage, capacity, and QoS in a mobile radio network. However, the conventional paradigm governing drive testing, which entails the deployment of either radio frequency equipment or software solutions such as TEMS Investigation accompanied by GPS and an MS (Mobile Station), is marred by inherent limitations that hinder precision in data collection spatiality and necessitate a cumbersome use of multiple tools. In our work, we embark on a novel trajectory, anchoring our non-invasive drive test methodology  on the potency of a wearable device such as smart phones. Inspired by this, we design  an Android-based drive test platform that stands as a fulcrum of innovation. This platform consists primarily of a mobile application that acts as a measuring instrument, and an API to relay the data collected by the mobile application. This Android-based approach provides operators with heightened precision in both location determination and parameter measurements. Moreover, it streamlines service provisioning, eliminating the need for a range of complex tools, and instead offering a simple application-based solution. By adopting our mobile application, the drive testing process becomes adaptable to a variety of scenarios, including roads with high traffic density or narrow pathways. Our methodology signifies a significant step forward in improving resources-efficient drive testing process for operators.
Order acceptance choice modeling of crowd-sourced delivery services: a systematic comparative study
Authors: Hou Shixuan
Published: September 2023

The efficiency of crowd-sourced delivery services (CDS) like UberEats and AmazonFlex highly depends on the decisions of individual shippers. Operating as freelancers, these shippers have the freedom to accept or decline orders from the CDS platform. Their decisions not only affect their earnings and the waiting times for orders but also influence the platforms’ overall revenue and reputation. Understanding the factors that shape these decisions is thus crucial. In our study, we gather data from CDS shippers in Shanghai, China, using stated preference surveys. We then design a discrete choice model to predict shippers’ behaviors and compare its accuracy, computational efficiency, and interpretability with five commonly used machine learning methods. Our analyses reveal that the Extreme Gradient Boosting (XGB) model and Random Forests (RFs) model outperform other models in prediction accuracy, achieving f1 scores of 69.3% and 65% respectively. Notably, our per- mutation importance analysis indicate that the shipper’s age, income, and the compensation awarded per order are the most influential determinants in their decision to accept or decline orders.
Next-Generation Security: Detecting Suspicious Liquids through Radio Frequency Sensing and Machine Learning
Authors: Daud Ahmad , Khan Muhammad Bilal , Khattak Abdul Basit , Tanoli Shujaat Ali Khan , Mustafa Ali , Rehman Mubashir , López Onel Alcaraz
Published: September 2023

Hazardous liquids like nitroglycerin are replacing conventional flammable explosives in modern terrorist attacks. The majority of these hazardous liquids are colorless, oily, and cannot be judged as suspicious by the naked eye. Security inspections of hazardous liquids on a large scale are urgently required to prevent terrorist activities in public areas. However, traditional liquid detection and identification techniques face issues such as cost, accuracy, and scalability, which hinder their widespread adoption. This article introduces a platform that combines radio frequency sensing based on software-defined radio technology and state-of-the-art machine learning (ML) algorithms to detect and classify suspicious and non-suspicious liquids without compromising individuals' privacy. Specifically, fine-grained samples of orthogonal frequency division multiplexing are utilized to acquire channel state information to detect suspicious liquids (glycerin, spirit, and mustard oil) by utilizing radio signals at 900 MHz and 2.45 GHz bands. ML algorithms are employed for classification purposes based on liquids dielectric constant, and their effectiveness is evaluated based on accuracy, prediction speed, and training time. The outcomes of the performance evaluation confirm the platform's effectiveness in accurately identifying and classifying suspicious and non-suspicious liquids with up to 98.3% accuracy with support vector machine.
Adaptive Velocity and Acceleration Control of Autonomous Vehicle Systems
Authors: Ren Tianqun , Wang Baorui , GU Guoxiang , Chen Xiang
Published: September 2023

This paper proposes a Combined Adaptive Velocity and Acceleration Control (CAVAC) aw for autonomous vehicles in the presence of unknown and uncertain parameters. In particular, the global asymptotic stability of the nonlinear vehicle system under the proposed adaptive velocity control is shown to be held without real-time estimation of the vehicle parameters. Moreover, the CAVAC law is applied to ensure the required inter-vehicle spacing, crucial to avoiding collisions in vehicle platoons. The simulation studies illustrate the advantages of the CAVAC law for the autonomous vehicle platoon in dealing with the speed limit changes, in mitigating issues induced by merging-exiting, and in ensuring collision avoidance. The experiments conducted on an electric vehicle also validate the effectiveness of the proposed control laws.
Data Center-Enabled High Altitude Platforms: A Green Computing Alternative
Authors: Abderrahim Wiem , Amin Osama , Shihada Basem
Published: September 2023

Information technology organizations and companies are seeking greener alternatives to traditional terrestrial data centers to mitigate global warming and reduce carbon emissions. Currently, terrestrial data centers consume a significant amount of energy, estimated at about 1.5% of worldwide electricity use. Furthermore, the increasing demand for data-intensive applications is expected to raise energy consumption, making it crucial to consider sustainable computing paradigms. In this study, we propose a data center-enabled High Altitude Platform (HAP) system, where a flying data center supports the operation of terrestrial data centers. We conduct a detailed analytical study to assess the energy benefits and communication requirements of this approach. Our findings demonstrate that a data center-enabled HAP is more energy-efficient than a traditional terrestrial data center, owing to the naturally low temperature in the stratosphere and the ability to harvest solar energy. Adopting a data center-HAP can save up to 14% of energy requirements while overcoming the offloading outage problem and the associated delay resulting from server distribution. Our study highlights the potential of a data center-enabled HAP system as a sustainable computing solution to meet the growing energy demands and reduce carbon footprint.
Media-Based Modulation for Next-Generation Wireless: Latest Progress and New Applications
Authors: Seifi Ehsan , Khandani Amir K. , Atamanesh Mehran
Published: September 2023

Media-based modulation (MBM) is a novel technique for embedding information in the channel states via intentional perturbations of the transmission media. This article provides an overview of MBM and its benefits while highlighting relevant challenges and future research directions. We explain how MBM differs from source-based modulation and how it addresses issues in legacy multiple-input multipleoutput (MIMO) systems, such as deep fades and MIMO diversity-multiplexing trade-off. We demonstrate how MBM works in harmony with other index modulations and improves upon them by providing similar advantages with a more compact transmitter. Numerical results (simulation and analytical) support these claims and include outage comparison with legacy MIMO systems, comparisons with other state-of-the-art modulation schemes, and a performance example showcasing transmitting 32 bits of information in a single channel use with an excellent symbol error rate of SER ~ 1e-5  at “energy per bit to noise power spectral density ratio” of Eb=N0 ~ 3:5 dB. The article continues with methods to address the issues of receiver training and decoding for large constellation sets. A number of other research questions, such as pulse shaping to limit bandwidth expansion due to the time-varying nature of MBM and the effect of forward error correcting codes on MBM diversity order are discussed. We present an RF transceiver structure that generates independent propagation paths for embedding information. Fabrication and testing of the transceiver structure show close agreement between simulation and measurement. There are inherent connections between MBM and intelligent reflecting surface (IRS). These connections, including the application of MBM in beamforming, are discussed.

We present a solution that involves the integration of a filtering radiating patch within the MBM walls to restrict bandwidth expansion. Lastly, we delve into several specific application domains for MBM.
Energy Efficient RIS-enabled SISO-OFDMA Communication via Lower Bound Optimization
Authors: Bidabadi Samaneh , Ahmed Ouameur messaoud , Bagga Miloud , Massicotte Daniel
Published: September 2023

The pursuit of energy-efficient solutions in the context of Reconfigurable Intelligent Surface (RIS)-assisted wireless networks has become imperative and transformative. This paper investigates the integration of RIS into an orthogonal frequency division multiple access (OFDMA) framework for multiuser downlink communication systems. We address the challenge of jointly optimizing RIS reflection coefficients alongside OFDMA frequency and power allocations, with the aim of maximizing energy efficiency. This optimization is subject to specific quality-of-service (QoS) requirements for each user equipment (UE) and a constraint on transmission power and RIS phase shift matrix. To address this complex optimization problem, we propose a practical and low-complexity approach that derives a computationally efficient and numerically tractable lower bound on energy efficiency. Our approach strikes a balance between performance enhancement and complexity. The numerical results highlight the effectiveness of our approach, showing a substantial increase in energy efficiency compared to scenarios with random RIS integration and without RIS.
Explicit Results for the Distributions of Queue Lengths for a Non-Preemptive Two-Level Priority Queue
Authors: Zuk Josef , Kirszenblat David
Published: September 2023

Explicit results are derived using simple and exact methods for the joint and marginal queue-length distributions for the M/M/c queue with two non-preemptive priority levels. Equal service rates are assumed. Two approaches are considered. One is based on numerically robust quadratic recurrence relations. The other is based on a complex contour-integral representation that yields exact closed-form analytical expressions, not hitherto available in the literature, that can also be evaluated numerically with very high accuracy.
Blockchain for IoT: A Critical Review of the State-of-the-Art, Challenges, and Future Prospects
Authors: Bodemer Oliver
Published: September 2023

This study delineates the convergence of blockchain technology with the Internet of Things (IoT), offering a critical analysis of the current state-of-the-art, prevailing challenges, and potential future directions. Initially, a comprehensive overview of the existing literature is provided, highlighting the progressive integration of blockchain with IoT networks. Subsequently, a meticulous evaluation of the present challenges, including security concerns and scalability issues, is conducted. Furthermore, this research explores the promising prospects of blockchain-enabled IoT systems, emphasizing innovations in data security, privacy, and decentralized control. Through a systematic approach, this investigation not only underscores the significant advancements in the field but also proposes potential strategies to overcome identified hurdles. The findings of this study aspire to pave the way for the development of more secure, scalable, and efficient blockchain-based IoT networks, fostering a new era of technological synergy. 
Comment: On the BER Analysis of NOMA Systems
Authors: Al-Dweik Arafat , Bedoui Abla , Iraqi Youssef
Published: September 2023

The bit error rate (BER) of non-orthogonal multiple access (NOMA) has been considered widely in the literature under the assumption of perfect and imperfect successive interference cancellation (SIC) where exact closed-form formulas were derived. However, all reported analyses overlooked the variations that happen to the Gaussian noise probability density function (PDF) after the SIC process. Therefore, the claimed ’exact’ analysis is incorrect and the presented analyses are actually approximations. Therefore, this comment paper derives the exact noise PDF after the SIC process and evaluates its impact on the BER analysis.
A Systematic Review of Rare Events Detection Across Modalities using Machine Learning and Deep Learning
Authors: Idris Abubakar Yahaya , OTHMANI Alice , Sabri Aznul Qalid Md. , Siarry Patrick
Published: September 2023

Rare event detection (RED) involves the identification and detection of events characterized by low frequency of occurrences, but of high importance or impact. This paper presents a Systematic Review (SR) of rare event detection across various modalities using Machine Learning (ML) and Deep Learning (DL) techniques. This review comprehensively outlines techniques and methods best suited for rare event detection across various modalities, while also highlighting future research prospects. To the extent of our knowledge, this paper is a pioneering SR dedicated to exploring this specific research domain. This SR identifies the employed methods and techniques, the datasets utilized, and the effectiveness of these methods in detecting rare events. Four modalities concerning RED are reviewed in this SR: video, sound, image, and time series. The corresponding performances for the different ML and DL techniques for RED are discussed comprehensively, together with the associated RED challenges and limitations as well as the directions for future research are highlighted. This SR aims to offer a comprehensive overview of the existing methods in RED, serving as a valuable resource for researchers and practitioners working in the respective field.
Federated Classification Tasks in Long-tailed Data Environments via Classifier Representation Adjustment and Calibration
Authors: Li Xujing , Sun Sheng , Liu Min , Ren Ju , Jiang Xuefeng , He Tianliu
Published: September 2023

This manuscript is Under Review of IEEE Transactions on Mobile Computing.
Explainable Evaluation of Generative Adversarial Networks For Wearables Data Augmentation
Authors: Narteni Sara , Orani Vanessa , Ferrari Enrico , Verda Damiano , Cambiaso Enrico , Mongelli Maurizio
Published: September 2023

Data augmentation represents an opportunity for Artificial Intelligence applications, as it aims at creating new synthetic data based on an existing baseline. In this paper, we present a new evaluation framework for Generative Adversarial Networks (GANs), a data augmentation technique, in multivariate data classification contexts. The goal is not limited to assess the performance variations obtained through GANs, but also to inspect results with explainable AI (XAI) tools, understanding how GANs work and, finally, exploiting them to discover new knowledge. To this aim, we adopt the Logic Learning Machine for performance assessment and rule extraction, and introduce a new measure of rule similarity to compare different artificial datasets. We apply the methodology on two case studies, activity recognition and physical fatigue detection, confirming that GANs can help in overcoming limitations of original datasets and lead to new discoveries. 
Bioelectronic direct current stimulation at the transition between reversible and irreversible charge injection
Authors: Matter Lukas , Shaner Sebastian , Leal Ordonez Jose Andres , Asplund Maria , Abdullaeva Oliya
S.
Published: September 2023

Direct current electric fields (dcEFs) naturally occur in wound healing or cancer metastasis. The stimulus to generate dcEFs may release toxic stimulation by-products. The release can be delayed by increasing the capacitance of the stimulation electrode by coating the surface with conducting polymers. 
Efficient Error Detection Schemes for ECSM Window Method Benchmarked on FPGAs
Authors: Ahmadi Kasra , Aghapour Saeed , Mozaffari Kermani Mehran , Azarderakhsh Reza
Published: September 2023

Elliptic curve scalar multiplication (ECSM) stands as a crucial sub-block in elliptic curve cryptography, which represents the most widely-used pre-quantum public key cryptography. Hardware constructions of cryptographic systems utilizing ECSM have been subject to permanent or transient errors. In cryptographic systems, it is important to validate the correctness of the underlying computation performed on hardware or software to identify such errors. In this paper, we present new fault detection schemes in window method scalar multiplication, which, to the best of our knowledge, has not been previously investigated. Our approach involves introducing refined algorithms and implementations that can effectively counter both permanent and transient errors. We assess this by simulating a fault model, ensuring that the evaluations conducted reflect the obtained results. As a result, we achieve a significantly extensive coverage of errors. Lastly, we benchmark our proposed error detection scheme on ARMv8 and FPGA to demonstrate the implementation and resource overhead. On Cortex-A72 processors, we maintain a clock cycle overhead of under 3%. Additionally, when implementing our error detection method on different FPGAs including Zynq Ultrascale+, Artix-7, and Kintex Ultrascale+, we achieve comparable throughput while introducing a mere 2% increase in area compared to the original hardware implementations. 
Spatial Domain based Self-Interference Cancellation Techniques in Full-Duplex Massive MIMO Systems
Authors: Chen Xuan , Savaux Vincent , Savelli Patrick
Published: September 2023

This paper deals with a massive multiple-input multiple- output (mMIMO) full-duplex (FD) communication system. We propose new spatial domain self-interference cancellation (SIC) techniques. The main idea is to treat the self-interference (SI) signal emitted from the FD node as another spatial stream that needs to be precoded in the null space of the MIMO channel that includes that node as an output. To this end, an additional RF chain is needed at the transmitter to cancel the SI signal. On this basis, we derive the expressions of the spatial precoders with respect to the conventional zero forcing (ZF) and minimum mean square error precoding (MMSE) criteria. Furthermore, the originality of the analysis lies in the consideration of SWM for modeling the SI channel, which is justified by the close proximity of the transmit and receive antenna panels in the FD node. Simulations show the relevance of the study. We verify the SIC efficiency in the spatial domain using the derived ZF and MMSE precoders by analyzing their relative performance in terms of spectral efficiency. We also highlight the robustness of our SWM-based SI channel compared to classic planar wave model (PWM) and therefore the need for using it.
PUF-Kyber: Design of a PUF-Based Kyber Architecture Benchmarked on Diverse ARM Processors
Authors: Aghapour Saeed , ahmadi kasra , Anastasova Mila , Mozaffari Kermani Mehran , Azarderakhsh Reza
Published: September 2023

In this paper, through using physical unclonable functions (PUF) and true random number generators (TRNG), we improve the overall security of CRYSTALS-Kyber and provide physical security to it. Our implementation results on ARMv7 and ARMv8 architectures indicate significant speedup, compared to the reference work.
PUF-Dilithium: Design of a PUF-Based Dilithium Architecture Benchmarked on ARM Processors
Authors: Aghapour Saeed , ahmadi kasra , Anastasova Mila , Mozaffari Kermani Mehran , Azarderakhsh Reza
Published: September 2023

In this paper, by taking advantage of physical unclonable functions (PUFs), we introduce a novel design that provides physical security to CRYSTALS-Dilithium. After discussing the advantages of our design compared to the original design, we implemented it on two different architectures, ARMv7 and ARMv8. Our findings demonstrate substantial enhancements in both security and performance over the reference work.
Promising pharmaceutical development of vaccines for the prevention of meningococcal infection
Authors: Savkina Maria V. , Sayapina Lidiya  V. , Krivykh Maxim  A. , Obukhov Yury  I.
Published: September 2023

Meningococcal infection (MI) refers to anthroponoses; is an acute infectious disease with an aerosol transmission mechanism, characterized by various forms of the infectious process: from local (nasopharyngitis) and asymptomatic infections to generalized forms of invasive infection with the development of meningococcemia and meningitis. The causative agent of MI is meningococcus (Neisseria meningitidis) that belongs to the pathogen risk group 2. Preventive vaccination against MI is included in the calendar of preventive vaccinations according to epidemic indications. The problem of MI retains a great medical and social significance for Russian health care due to the continuing high rates of associated mortality, disability, high costs of treatment and rehabilitation. Vaccines against five of the six main N. meningitidis serogroups have been registered worldwide. Serogroup X vaccine is under development. Recently, there has been an increase in the heterogeneity of the meningococcal population due to serogroups W, Y, and X. The polysaccharide vaccines developed in Russia have restrictions on their use, and there is no full-cycle production of meningococcal conjugate vaccines in the Russian Federation. Given the above, the development and registration of new vaccines against MI is an urgent task.
The purpose of this work is to analyze the current state of development of vaccines for MI prevention. Currently, depending on the production technology, the following types of meningococcal vaccines are available: polysaccharide, conjugated, based on outer membrane vesicles (OMV), protein and based on synthetic polysaccharides. Serogroup-targeted meningococcal vaccines are effective in reducing the public health burden of invasive MI. Polysaccharide conjugate and protein/OMV vaccines are among the most promising vaccines for most invasive meningococcal serogroups. In modern conditions, with the progress in technologies for future polysaccharide conjugate vaccines, new opportunities are opening up for the use of such approaches as chemical/enzymatic synthesis, improved characteristics of the carrier protein, and site-specific conjugation. The development of a single vaccine against the main invasive meningococcal serogroups, rather than its individual antigenic variants, does not lose its relevance. It is timely to develop in the near future a vaccine against N. meningitidis serogroup X, which was previously a rare cause of sporadic meningitis, but has caused outbreaks in various African countries in 20062010 and in recent years.
Analysis of entomological indicators and distribution of Aedes aegypti larvae in dengue endemic areas
Authors: Sutriyawan Agung , Manap Abdul , Sulami Neti , Setiyadi Agung , Riskiah Dian Mariza , Kurniawati Ratna Dian , Khariri Khariri
Published: September 2023

Background. The cause of dengue fevers endemicity is vector larvae density, with Aedes aegypti as the prime vector. Bandung municipality is a high dengue fever endemic area. Hence, studying the habitat characteristics of the Aedes mosquito is essential to controlling the populations of mosquitos.
Purpose. This study aimed to identify the aedes larvae breeding sites and the relationship between the breeding risk index, hygiene risk index, maya index, and the existence of larvae with the incidence of dengue fever.
Method. The design used in this research was a cross-sectional survey. The sampling technique used simple random sampling. The quantity of the sample was 544 directly observed houses.
Results. The entomological parameters obtained were house index (23.89%), container index (7.81%), Breteau index (50.73%), and larva free number (76.10%). The breeding risk index, hygiene risk index, and maya index are in the low category. The chi-square test conveyed that the breeding risk index, maya index, and the existence of larvae were significantly associated with the incidence of dengue fever.
Conclusion. The entomological index may influence the high incidence of dengue fever. These findings and results may help the authorities to improve mosquito nest eradication in attempts to prevent dengue transmission.
A modern view of diarrheagenic Escherichia coli — a causative agent of acute intestinal infections
Authors: Makarova Mariia A.
Published: September 2023

Acute intestinal infections caused by Escherichia coli affect the gastrointestinal tract, leading to development of diarrheal syndrome, intoxication, and, in some cases, generalization of the pathological process. Diarrheagenic E. coli (DEC) strains differ from non-pathogenic (commensal) strains by the presence of specific virulence genes, pathogenesis characteristics, clinical and epidemiological manifestations of the diseases they cause. Based on the virulence determinants, 6 pathogenic DEC groups are distinguished: enteropathogenic, enterotoxigenic, enteroinvasive, shiga toxin-producing, enteroaggregative, diffusely adherent E. coli strains. The strains of each pathogenic group have distinct pathogenic mechanisms responsible for inflammatory processes in different compartments of the human intestine, which are clinically manifested as diarrheal syndrome. This paper presents a review of current scientific publications on epidemiology, pathogenesis, genetic properties, and antigenic characteristics of pathogenic E. coli. Although DEC biological properties have been extensively studied, many aspects require deeper insights to develop effective laboratory-based diagnostic techniques, treatment methods, epidemic control measures, and prevention strategies against E. coli infections.
Perancangan PLTS Untuk Sumber Daya Lampu Penerangan Jalan Desa Iringmulyo Metro
Authors: Jeckson Jeckson , Dasweptia Dasweptia , Farkhaini Nasirul
Published: September 2023

The increasing activity of the people at night makes the need for lighting sources also increase, especially in public places. One part that requires lighting is the Iringmulyo Metro village road. Roads are the main infrastructure that must be considered for their condition and use, if the road conditions are good for passage it will certainly reduce the level of accidents and crime, so village roads also need lighting. Public street lighting using solar energy is a cheap and economical alternative to use as a source of lighting electricity because it uses a free and unlimited source of energy from nature, namely solar energy. The Iringmulyo Metro village road lighting system uses a solar cell of 200 wp and a lamp load of 40 watts. When the weather is clear the battery can charge up to 720wh and can run a light load for up to 18 hours. If the solar panel is unable to receive light, the battery still has a power reserve of 240wh/6 hours. Lighting a solar street light using a 40 watt LED lamp produces an illumination of 4.58 lux. The power efficiency of the solar cell module panel is 14.5% determined by the tilt position of the solar cell panel and the intensity of sunlight. The higher the sunlight intensity, the higher the output efficiency of the solar cell module
DETECÇÃO PRECOCE DOS SINAIS DE ALERTA DO AUTISMO NAS CONSULTAS DE PEURICULTURA PELOS ENFERMEIROS
Authors: Angelica Ribeiro Pinto de Oliveira  , Juliana Rezende Montenegro Medeiros de Moraes  , Ivone Evangelista Cabral
Published: September 2023

Introdução: os transtornos do espectro do autismo (TEA) são uma condição de início precoce, com dificuldades relacionadas à ausência ou limitações: no uso da linguagem, na interação social e das atividades imaginativas, bem como padrões restritos de comportamento. As primeiras manifestações dos TEA aparecem antes dos 36 meses de idade, o que envolve a adoção de medidas de detecção precoce de sinais de alerta pelos Enfermeiros na consulta de puericultura na Atenção Primária a Saude. Objetivo: descrever as percepções de enfermeiros sobre detecção precoce dos sinais de alerta dos TEA nas consultas de puericultura. Método: estudo de abordagem qualitativa, do tipo exploratório, desenvolvido por meio de entrevistas semiestruturadas com 27 enfermeiros de cinco unidades de saúde da família localizadas no município do Rio de Janeiro- Brasil.  Os dados foram tratados por meio do software Iramuteq®. As interpretações e teorização foram orientadas pela aplicação da Teoria das Relações Interpessoais, de Hildegard Peplau. A pesquisa foi aprovada por Comitês de Ética em Pesquisa no Brasil Resultados: Neste estudo será apresentada a classe 2, denominada Consultas de puericultura nas Clínicas da Família como estratégia de identificação de sinais de alerta dos TEA. Durante a avaliação do crescimento e desenvolvimento infantil, o enfermeiro percebeu alterações, estreitou as relações interpessoasis com as familias e utilizou a caderneta da criança como instrumento avaliativo. Conclusões: A percepção dos enfermeiros permitiu identificar sinais precoces do transtorno do espectro do autismo durante as consultas de puericultura. Ademais, o estudo demonstrou a potencialidade da abordagem qualitativa na revelação de aspectos sensíveis, a partir de práticas de pesquisa que envolvem a abordagem de fenômenos do cotidiano e de cuidado de enfermeiros a famílias de crianças vulneráveis.
Penetapan kadar flavonoid total ekstrak etanol, fraksi etil asetat dan n-heksan pada daun kakao (Theobroma cacao L.) dengan metode spektrofotometri uv-vis
Authors: Maqfirah Zikra , Nasution Muhammad Amin , Nasution M. Pandapotan , Nasution Haris Munandar
Published: September 2023

Kakao (Theobroma cacao L.)  merupakan tumbuhan yang dibudidayakan dalam bentuk perkebunan di indonesia. Salah satu bagian dari tumbuhan kakao yang bisa berpotensi untuk dikembangkan sebagai bahan obat tradisional adalah daun kakao karena mengandung senyawa metabolit sekunder flavonoid. Flavonoid mempunyai banyak khasiat, diantaranya yaitu sebagai antioksidan, melindungi struktur sel, antiinflamasi, mencegah osteoforesis, dan sebagai antibiotik. Tujuan penelitian ini untuk mengetahui kandungan metabolit sekunder dan kadar flavonoid total dalam ektrak etanol, fraksi etil asetat dan n-heksan pada daun kakao. Pada penelitian ini, langkah awal yang dilakukan adalah pengumpulan sampel, pengolahan sampel menjadi simplisia, uji karakterisasi simplisia kemudian pembuatan ekstrak etanol daun kakao dengan metode maserasi menggunakan pelarut etanol 70%, dilanjutkan dengan proses partisi dengan metode ekstraksi cair-cair sehingga diperoleh fraksi etil asetat dan n-heksan dan dilakukan skrining fitokimia. Penetapan kadar flavonoid total menggunakan metode spektrofotometri uv-vis pada panjang gelombang 437 nm dengan pembanding kuersetin. Hasil dari penelitian ini menunjukkan bahwa ekstrak etanol daun kakao mengandung senyawa alkaloid, flavonoid, tanin, saponin, steroid dan glikosida, pada fraksi etil asetat mengandung senyawa alkaloid, flavonoid, tanin, steroid dan glikosida, sedangkan pada fraksi n-heksan mengandung senyawa alkaloid, flavonoid dan steroid. Kadar flavonoid total pada daun kakao dari ekstrak etanol sebesar 39,1422±0,0540 mg QE/g, fraksi etil asetat 45,274±0,0629 mg QE/g dan fraksi n-heksan 21,4812±0,7048 mg QE/g. Kadar flavonoid tertinggi di peroleh pada fraksi etil asetat.
RETRATAMENTO ENDODÔNTICO COM PRODESIGN LOGIC RT
Authors: Travassos Rosana Maria Coelho , Melo Júnior Paulo Maurício de Reis , Cardoso Maria do Socorro Orestes , Maciel Tereza Augusta , Valones Marcela Agne Alves , Oliveira Natália Gomes , Araújo Vanessa Lessa Cavalcanti , Wanderley Júlia Rodrigues , Silva Gabirel Santos Gomes
Published: September 2023

O objetivo deste estudo foi descrever o retratamento endodôntico de um pré-molar superior, portador de dois canais radiculares com o sistema  Easy ProDesign Logic RT. No exame clínico, observou-se a presença de fístula e sendo assim foi introduzida na mesma um cone acessório de guta-percha FF com o intuito de realizar o rastreamento radiográfico. Após o exame radiográfico, percebeu-se destruição óssea periapical difusa, sugerindo abscesso dentoalveolar crônico. O preparo do retratamento foi feito de acordo com o protocolo descrito pelo sistema Easy ProDesign Logic RT e a obturação dos canais radiculares foi realizada na mesma sessão utilizando da técnica de cone único (Bassi®). Foi feito o corte dos cones com condensador de Paiva quente e a condensação vertical ativa com condensador de Paiva frio. Após obturação, os resíduos de guta-percha presentes na câmara pulpar foram removidos com algodão e álcool 70% e foi realizada a restauração provisória com ionômero de vidro (Riva Light Cure, SDI® – Victoria, Austrália)
TELEMEDICINA DURANTE A PANDEMIA DO COVID-19
Authors: Messias Jhenifer Rodrigues , Pacheco Gustavo Garcia , Faria Beatriz Oliveira , Carvalho Guilherme Gontijo , Gontijo Mariana Scapellato , Ferreira Carolina Marques , Almeida Mileny Costa de , Bachur Cynthia Kallás
Published: September 2023

Introdução: Telemedicina é definida, amplamente, como o uso das tecnologias deinformação e comunicação na área da saúde. É uma ferramenta essencial durante operíodo da pandemia pois tem a capacidade de reduzir o número de pessoasfrequentando os serviços de saúde, dessa forma também se reduz a propagação dovírus em ambiente ambulatorial ou hospitalar e o número de leitos hospitalaresocupados por outras comorbidades liberando-os para as pessoas infectadas.Objetivo: identificar a visão do médico frente ao uso da telemedicina durante apandemia da COVID-19 no Brasil. Métodos: Estudo de caráter descritivo etransversal, realizado por meio de um formulário eletrônico elaborado no GoogleForms online, via web: WHATSAPP e redes sociais virtuais, por meio decompartilhamentos do link. Aplicou-se um instrumento denominado “Questionário de

Telessaúde e Teleatendimento”. Resultados: Participaram deste estudo, 15médicos, com idade média 42 + 2,4 anos, sendo 10 homens e 5 mulheres. A maioriados médicos atuam na área clínica, sendo 15,4% cirurgiões, 80% dos participantestrabalham em consultórios, 46,7% relatou a qualidade do acesso a internet comoboa, 33,3% tem um conhecimento básico em informática, 66,7% não tevecapacitação para o uso do sistema de teleconsulta, 53,3% definem seu nível desatisfação com a teleconsulta como média e 66,7% concordam que é uma forma dediminuir os encaminhamentos. Conclusão: a ascensão rápida da aplicação datelemedicina no Brasil durante a pandemia da COVID-19, mostra-se uma rica fontede dados cuja análise é fundamental para compreendermos os prós e contras dautilização dessa tecnologia.
PROMOÇÃO DA SAÚDE NA PERSPECTIVA DO CUIDADO NA ATENÇÃO BÁSICA
Authors: Marques Victor Guilherme Pereira da Silva , Lima Mariel Wágner Holanda , Santos Elis Maria Jesus , Neca Cinthia Silva Moura , Martins Tayane Moura , Reis Jafia Marcos , Silva Alex de Souza , Cotrim Erica Faria , Pereira Vitória Caroline Silva , Nascimento Vanessa , Pereira Victor Guilherme , Albuquerque Francisco Márcio Lima , Rodrigues Neilan Santana , Bezerra Marcia Tamires Uchoa , Mourão Mirla Rossana Nogueira , Costa Ana Carolina Messias de Souza Ferreira da , Romeiro Edenilze Teles
Published: September 2023

Objetivo: Discutir por meio da literatura existente acerca da promoção da saúde na perspectiva do cuidado na atenção básica. Métodos: Trata-se de uma revisão integrativa da literatura de caráter qualitativo. A busca dos trabalhos envolvidos na pesquisa foi realizada nas seguintes bases de dados: SCIELO, LILACS, BDENF e MEDLINE, a partir dos descritores em ciências da saúde: “Atenção básica”, “Promoção da saúde” e “Saúde pública”. Os critérios de inclusão foram: publicados no período entre 2013 e 2023, cujo acesso ao periódico era livre aos textos completos, artigos em idioma português, inglês e espanhol e relacionados a temática. Critérios de exclusão foram: artigos duplicados, incompletos, resumos, resenhas, debates, artigos publicados em anais de eventos e indisponíveis na íntegra. Resultados: a promoção da saúde tem como objetivo impactar e favorecer a qualidade de vida a todos os pacientes na APS, outro ponto presente são as ações intersetoriais e intrasetoriais que favorecem a ampliação da consciência sanitária. Conclusão: O presente estudo demonstrou que a atenção básica é a principal intermediadora das ações de promoção à saúde, onde os profissionais e gestores tem a maior aproximação com a população.
Educação em saúde na Atenção Primária: Prevenção de Diabetes Mellitus Gestacional
Authors: Nascimento Bianca Thaís Silva do , Nascimento Leticia Thaís Silva do , Rodrigues Isabela Carolina dos Santos da Silva , Melo Evellyne Augusto , Assis José Joceilson Cruz de , Sá Ana Karine Laranjeira de , Silva Sanderli Alves da , Santos Antônio Celestino Arruda Silva dos , Santos Maria Eduarda dos , Costa Angélica Silva da , Romeiro Edenilze  Teles , Melo Eduarda Augusto , Nascimento Iale Thaís Silva do
Published: September 2023

Este artigo tem como objetivo evidenciar a educação em saúde como principal meio de prevenção da Diabetes Mellitus Gestacional na APS. Com a finalidade de alcançar respostas ao seguinte questionamento: “Qual o papel da educação em saúde na prevenção da DMG? ”. Foi realizada por meio de consultas nas bases de dados indexadas, com o cruzamento dos descritores em português: “Educação em Saúde”, “Diabetes gestacional”, “Prevenção” e “Atenção Primária à Saúde”, através do operador booleano “AND”.  Para compor a revisão, foram analisados 47 artigos. A medidas de prevenção da DMG evidencia a informação como principal meio de educação em saúde, passada nas consultas de pré-natal na APS pelo enfermeiro nas consultas de enfermagem, é de extrema relevância que o diagnóstico do DMG seja realizado de maneira precoce, usando métodos eficazes. Para que as medidas de prevenção sejam eficazes no período gravídico, torna-se necessário o acesso à informação de maneira que à gestante compreenda, bem como à promoção da assistência satisfatória, torna-se necessário à adesão de medidas pela equipe multiprofissional visando proporcionar à gestante uma gravidez tranquila e saudável, estando atento aos pequenos sinais evitando futuros agravos, estimulando o autocuidado e bem-estar mental da gestante.
The UK, US, and Mauritius
Authors: Allen Fidelis
Published: September 2023

I attended a conference on the Chagosian question in Pretoria in October 2022 while serving as a Visiting Fellow at the Institute of Pan-African Thought and Conversation (IPACT) at the University of Johannesburg, South Africa, and I have described some of the discussions that were facilitated by participants in this essay. Representatives of the Chagosian diaspora, the ambassador of Mauritius to South Africa, scientific interpretations in papers presented, and comments by other Chagosians on the realisation of their rights, constitute the foundation of this report. Diaspora Chagosians are torn between Mauritius’s fight for sovereignty rights and the interests of the United Kingdom (UK) and the United States (US) on the island. They yearn to return to their ancestral land, and regain their identity and attain self-determination. Second, Mauritius fights for justice is understood to mean regaining control of Chagos. The activities and standpoints of the UK and the US, which have allied military interests, were critically examined by academicians and Chagosians. The International Court of Justice’s (ICJ) order requesting that the UK return Chagos Island to Mauritius has caused a conflict of interest between Mauritius, the UK, and the US. For the Chagosians, who view self-identity and self-determination as issues of rights under international law that should not be denied, the disregard of the ICJ’s judgment by the global powers would continue to signify statelessness to the majority of the Chagosians.
The Effects of activities designed with three-dimensional printing technology on science education
Authors: Avinal Merve , Aydin Abdullah
Published: September 2023

The aim of this study is to investigate the effectiveness of the activities designed with 3D printing technology on the teaching of the sixth-grade systems in our body unit and to determine the views of students on this technology.  In this study, a mixed research design in which quantitative and qualitative research methods are used together was preferred.  A total of 60 sixth grade students participated in the study. The study was carried out for 6 weeks and within the scope of a science lesson. During the study, lessons in the experimental group were processed using the activities developed with 3D printing technology in addition to the current curriculum while lessons in the control group were processed using the 2018 Science Curriculum. Data were then analyzed using the SPSS statistics program and descriptive analysis. The findings of the study revealed that there was a significant difference between the post-test mean scores for academic achievement in the experimental and control groups. It can be said that the activities developed with the 3D printing technology used in the teaching of the subjects in the experimental group after the application increased the academic achievement compared to the teaching in the control group where the current program was used. The results obtained from the qualitative findings of the research also support these quantitative results. It is recommended to use more 3D printing technology in science education.
Examining the trend of research on active engagement in science education: Bibliometric analysis
Authors: Kamarrudin Haryati , Talib Othman , Md Zamin Ainul Azmin
Published: September 2023

In the field of educational psychology, active engagement is one of the instructional approach research topics. Research indicates that various advantages occur when students are actively engaged in their learning, involving increased motivation and higher-order thinking skills. The tremendous growth in encouraging students' active engagement in science education has gained prominence and plays a vital role in determining science specialisations and future careers. Based on the benefits of active engagement in science education, numerous studies have been conducted on this issue. As such, this paper will examine and report on Scopus-indexed articles on active engagement. As of April 24th, 2021, 1174 documents have been retrieved and evaluated. This article summarises the research productivity, most active source title, distribution of publications by countries, most active institutions, most productive authors, and citation analyses using established bibliometric indicators. The results show an increased growth rate of literature on active engagement in science education from 2016 to 2020. A total of 168 authors from 90 different countries and 167 institutions have collaborated on numerous studies on active engagement in science education, which have been published in various journals.
Análisis de los parámetros fisicoquímicos de los lodos de la PTAR de la Ciudad de Panamá por la influencia del proceso de hidrolisis térmica
Authors: Salinas Adis Salinas
Published: September 2023

El crecimiento demográfico y la expansión industrial han llevado a la producción de volúmenes cada vez mayores de aguas residuales y han ampliado la demanda de métodos sostenibles para su tratamiento y disposición final. El proceso de hidrolisis térmica (THP) ha sido uno de los métodos que se ha desarrollado con el fin de mejorar el manejo de los lodos producidos durante el tratamiento de las aguas residuales. La ciudad de Panamá ha implementado este proceso en el segundo módulo de la planta de tratamiento de agua residual (PTAR). La función del proceso de hidrolisis térmica es hacer que las paredes celulares se rompan bajo el efecto de la alta temperatura y presión, dando como resultado un producto altamente solubilizado que es fácilmente biodegradable. En esta investigación se analizaron en laboratorio los parámetros físicos y químicos correspondientes a un número de muestras tomadas directamente de esta planta, con el objetivo de medir la influencia que tiene la THP en la calidad de los lodos orgánicos. Estos resultados mostraron una significativa influencia del proceso THP en los lodos, encontrando una disminución del 40 al 60 por ciento de solidos volátiles, este resultado evidencia un lodo de mejor calidad y menos volumen generado, pudiendo aprovecharse este en uso agrícola, entre otros usos posibles.