bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplikasi Survei Kepuasan Peserta Diklat Berbasis Mobile Untuk Meningkatkan Pelayanan Diklat
Authors: Triase  , Manurung Liza Alzahra , Atsil Rayhan Alpatih
Published: March 2024

Balai Diklat Keuangan Medan There is an Organizing and Learning sector which is tasked with carrying out learning related to State finances, facilitating the implementation of the Learning system and facilitating technical support for implementing learning needs analysis, learning evaluation, certification and competency tests as well as providing assistance services for implementing knowledge processes and learning organizations in the work area of the Financial Education and Training Center. This research was created to create a mobile-based training participant satisfaction survey system to improve training services. The aim is to improve training services that can be accessed easily by training participants. With the survey application, participant satisfaction data can be accessed and analyzed in real-time and this application makes the work of organizers easier in calculating satisfaction surveys and can provide data to the head of the Financial Training Center quickly. By using the waterfall method with Likert Scale calculations, this research produces an efficient information system through the stages of needs analysis, design, implementation, testing, maintenance and Likert scale calculations. The results obtained from this research are that the participant satisfaction survey application can make it easier for organizers to calculate survey results and make it easier for offices to improve office quality quickly.
Retorika Gubernur Provinsi Kalimantan Timur dalam Menghadapi Jurnalis Terkait Berita Lubang Tambang
Authors: Syafi'i Abdullah , Juwita Rina
Published: March 2024

This study aims to determine and analyze the rhetoric of the Governor of East Kalimantan speaking in front of the mass media with the basis of Aristotle's theory as the researcher's standard. The theory used in this research is Aristotle's Rhetoric theory, in its development, rhetoric also includes the process of adjusting ideas to people and adjusting people to ideas through various kinds of messages. From the research results, it can be concluded that rhetoric plays an important role in public communication, especially in the context of political discourse through the mass media. The Governor of East Kalimantan, Isran Noor, with his straight-talking style, managed to use rhetoric effectively to influence public opinion, build relationships with the media, and inspire the public. In a situation that does not have an official communication team, the Governor is still able to manage his communication well and have a positive impact.
Perancangan Sistem Emergency Call untuk Pengendara Bermotor Berbasis Mobile
Authors: Amirudin Nur Said , Aryanto Joko
Published: March 2024

The progress of land transportation, especially motorized vehicles, has a great influence on people's welfare. Currently motorized vehicles have a large contribution to the development of transportation in Indonesia. The increasing number of vehicles always results in problems such as flat tires, running out of petrol or breaking down and the number of these incidents always increases. When problems occur on the highway, drivers always have difficulty finding locations and information about relevant places in order to ask for help with the problems they are facing. This research aims to enable motorized vehicle users to have an Android-based mobile application that is useful for providing location information and related parties to speed up the rescue process. The application that will be developed has a emergency call feature for users to service providers or relevant locations according to the driver's problem. Not only that, this system is also a business platform for those who want to join the merchant feature in it. In this mobile application study, the author will utilize the Google Maps API so that he can search and recommend the nearest place for motorists to seek help. This research was carried out from the analysis, design, implementation, to testing stages.
Manajemen Kegiatan Keagamaan Generasi Remaja (Genre) dalam Pencegahan Stunting di Kota Binjai
Authors: Apriliani Putri , Sampurna Ahmad
Published: March 2024

This research discusses the Religious Activities of the Youth Generation (GenRe) in Stunting Prevention. The purpose of this research is to determine the Management of Religious Activities of the Youth Generation (GenRe) in Stunting Prevention. This research uses a descriptive method with a qualitative approach to field research. The data source in this research is direct information using interview, observation, and documentation data collection techniques. The results of this research show that in efforts to prevent stunting the Generation Youth (GenRe) community uses. The management function is POAC (Planning, Organizing, Actuating, Controling). Planning in religious activities at GenRe is by providing understanding to the prospective bride and groom about pre-wedding so that they understand how to provide good nutrition to their babies whether they are still in the womb or born. At the Organizing stage, what the GenRe Binjai community carried out was in the form of preparing an organizational structure and dividing tasks into their respective fields. Actuating (implementation) implemented by GenRe is in the form of teaching, habituation, and motivation given by the GenRe chairman to the members. Controlling (evaluation) at this stage is carried out once a year by the head of GenRe.
Membangun Kesehatan Mental Generasi Alpha: Urgensi Konseling dalam Mengatasi Tantangan Bullying di Era Sosial Media Melalui Komunikasi Empati
Authors: Harahap Fitri Amelia , Sampurna Ahmad
Published: March 2024

This research aims to determine the urgency of counseling in overcoming the challenges of bullying in the era of social media through empathetic communication. This research is a qualitative-descriptive study with a phenomenological approach to observe and describe natural phenomena that occur in the alpha generation in the social media era. Research data was obtained from bullying cases on social media, as well as from journal articles and other relevant literature. Analysis of this research data involves data reduction, data presentation, and conclusion. The validity of the research data was carried out using triangulation testing. The results of this research show that building the mental health of the Alpha generation through counseling is essential in the modern era filled with technology. Counseling creates a safe space to share experiences and feelings, helping them manage technological stress and social pressure. Addressing bullying in the age of social media requires empathetic communication, approaching the perpetrator with tact, providing positive support, and creating a safe place to talk. This can form a culture that is friendly, and supportive, and teaches the values of diversity and respect for others. Counseling and empathetic communication are not only solutions to psychological problems and bullying, but also a strong foundation for the mental and emotional well-being of the Alpha generation in an ever-changing world.
Perancangan Aplikasi Pencatatan Keuangan Menggunakan Appsheet Studi Kasus Pada Karang Taruna Berdikari Ngasem Utara
Authors: Wicaksono Titis Aditya Putra , Edi Sri Winarso Martyas
Published: March 2024

The Kaskita financial recording application is an application intended for the North Ngasem Independent Youth Organization. This application is expected to help organizations in managing finances. This research aims to evaluate the benefits of using this application in facilitating organizational financial management. Through application development methodology and analysis of organizational needs, this research presents a comprehensive design process and successful implementation of the Kaskita application. The evaluation results show that this application can run as needed to facilitate recording, tracking and analysis of organizational finances, as well as increasing transparency and accountability in fund management. The addition of financial report features is necessary for application perfection, because financial reports provide a comprehensive picture of the financial condition of a company or individual. The practical implications of this research are recommendations for further development of this application, as well as strategic implementation for optimizing financial management at the Karang Taruna organizational level.
Pengembangan Sistem Oracle Forms untuk Optimisasi Proses Penjualan di PT.XYZ
Authors: G.A Ambrosius Ludang , Mailoa Evangs
Published: March 2024

This research focuses on the development of an efficient sales system for PT. XYZ a retail company in Indonesia. The company faces challenges in its sales processes due to the lack of efficiency in the manual system, which is susceptible to errors. The research aims to optimize the sales process by utilizing Oracle Forms 10g and implementing the Rapid Application Development (RAD) methodology to ensure timely solutions. The developed system demonstrates a significant improvement in efficiency, accuracy, and speed. The use of Oracle Forms and SQL Developer simplifies data entry and management processes, while the implementation of List of Values (LOV) reduces errors and enhances data consistency. Furthermore, the system provides real-time insights into sales performance, enabling better decision-making and strategic planning for the company.
Pembuatan REST API Manajemen Data Karyawan Berbasis Website Menggunakan Spring Boot
Authors: Adji Leonard Surya Adji , Mailoa Evangs
Published: March 2024

This study explores the implementation of REST API with Spring Boot in managing employee data in an E-commerce company. With a focus on efficiency, accuracy, and data security, the application utilizes Java, Spring Boot, and MyBatis as the main foundations. System testing demonstrates success in searching, creating, updating, and deleting employee data. Through the Model View Control (MVC) structure, the application ensures clear task separation. This success affirms the application as an effective solution for employee data management, particularly in the dynamic E-commerce industry.
Reconstruction of Actual Philosophy as a Way to Salvation in The Middle of Contemporary Ethical Thinking
Authors: Ibrahim Musdalifa , Alfiansyah Anwar
Published: March 2024

The aims of this research are (1) to know the response of moral philosophy to contemporary ethical thinking (2) to know the position and response of moral philosophy to contemporary ethical thinking (3) to know the solutions to contemporary problems. The type of research used in this research is qualitative research. This study uses a library study approach because it collects data from books, journals, the internet, or other written literature as a basis for writing. The results of this study indicate that: (1) the response of moral philosophy to contemporary ethical thinking is that the study of morality and ethics has the same goal but has differences in terms of defining its goals. Ethics as part of philosophy bases its theory on relative logic while moral philosophy bases it on transcendent revelation (2) when ethics is used as a sub of philosophy, ethical philosophy will include moral philosophy. Morals are not ethics but they both have something in common, that is, they both discuss good and bad issues. The difference is that morals are closer to manners and are applicable in nature, while ethics tend to be more philosophical (3) Solutions to contemporary problems: first, it is necessary to uphold justice as an ethical solution. Second, the need to develop a caring and responsible character. Third, the need for socialization and teaching of moral philosophy from an early age.
Hadhanah Dispute Settlement Process Due to Avoid Wife According to Wahbah Al-Zuhaili and Its Relevance to Islamic Law in Indonesia
Authors: Karma Adi
Published: March 2024

In Islam, marriage between a Muslim man and a non-Muslim woman is absolutely prohibited. If in a marriage there is a divorce because the wife is out of her religious belief (apostasy), then there is a dispute over the authority of whether the wife can carry out maintenance in the form of care for her child or not. The majority of mazhab scholars allow infidel wives to perform hadhanah on the grounds that mothers have more love for their children. However, Wahbah Az-Zuhaili in his book Fiqhul Islami waadilatuhu, argues that the right to hadhanah is not stipulated for an apostate wife. Based on the explanation above, the main problem raised in this thesis is how the concept of hadhanah according to Wahbah Az-Zuhaili,
Hubungan Antara Keterampilan Menyimak dengan Menulis Bahasa Arab pada Peserta Didik Kelas X MA DDI Lil Banat Parepare
Authors: Khaerati Nur
Published: March 2024

This article discusses the relationship between listening skills and Arabic writing skills in Class X MA DDI Ujung Lare Parepare students. This research uses a quantitative type of research. This research is correlation research. The results of this research show: 1) The total score for the Arabic listening skills variable obtained from the research results is 3477: 4000 = 0.869 or 86.9% of the specified criteria, and is in the high category. 2) The total variable score on Arabic writing skills for Class 3) Based on the t valuecountof 3.811 is consulted with the t value table (3.811 > 0.681, meaning that there is a significant correlation or relationship between listening skills and Arabic writing skills in Class X MA DDI Ujung Lare Parepare students.

Keywords: Listening Skills, Arabic writing skills.
The Need To Visualize Sudoku
Authors: Ipe Navin , Kulkarni Raghavendra V.
Published: March 2024

Publication reference:
https://doi.org/10.1007/978-981-99-9037-5_10

Sudoku puzzles are easily solved using backtracking algorithms. Yet,
literature is scattered with various shy and often opaque attempts at
using evolutionary algorithms and hybridizing them with known strategies
of solving the puzzle. Evolutionary methods are serendipitous in nature,
and this paper demonstrates the behaviour of such serendipity under
constraints, using visuals that depict the sheer magnitude of the
problem space and the nature in which intertwined constraints affect the
scope for locating a solution, with the hope that it could inspire a new
way of looking at the problem. We propose a method of visualizing the
sudoku fitness landscape, the vastness and complexity of even partially
brute forcing the puzzle, and a unique method of mutating puzzle states
using circular swaps. These insights could potentially serve as a link
to comprehend the problem space when designing solutions for vast,
multidimensional problems. Additionally, finding the optimal solution
for some puzzles was notably harder, compared to puzzles in the same
category of given clues. A short investigation was conducted into this
phenomenon, which revealed hints that compel us to propose that the
direction of research that should be taken, is in discovering more about
puzzle states and definitive mathematical properties of the puzzle,
rather than merely designing brute-force, stochastic or hybrid
approaches of finding solutions.
Maximum Likelihood Estimation of Line Parameters for a Nonlinear Model of Distribution Grids
Authors: Kapoor Shubhankar , Wills Adrian G , Hendriks Johannes , Blackhall Lachlan
Published: March 2024

This paper presents a method for obtaining distribution grid models
based on available measurements from the grid. In particular, we propose
a nonlinear approximation of the DistFlow model [1], which includes
line losses between nodes and is parameterized by the unknown line
parameters, namely the impedance between nodes. Based on measured
voltage magnitude at each node, and net injected real and reactive
powers at each node, we estimate the unknown line parameter values. To
achieve this, we formulate a maximum-likelihood problem that we solve
using an expectation-maximisation (EM) approach. In particular, we
tailor the EM approach for the proposed nonlinear grid model, and we
provide a numerically robust implementation of the resulting algorithm.
The proposed method is demonstrated on the IEEE 37-node test feeder
network, where we compare to state-of-the-art methods and show that the
proposed approach achieves a 70% reduction in voltage error and more
than 10, 000 times lower error for state variables. A final comparison
uses data from a real network, and we show that the proposed approach
achieves parameter estimates that are up to 100 times better than
competing approaches.
Design and Experimental Validation of a Multiphysics Twin of a High Voltage EV Motor
Authors: Torchio Riccardo , Conte F , Martin A , Bianchi N , Soricellis M De , Toso F , Pase F , Scarpa M , Filippini M , Lurtz M , Szepanski D
Published: March 2024

The integration of electric motors into various industrial and
automotive applications emphasizes the critical necessity for reliable
performance and operational efficiency. The advent of advanced digital
technologies offers opportunities for predictive maintenance strategies.
Digital Twins (DTs), mathematical models simulating a system’s physical
behavior in real-time, present a transformative approach to enhance
real-time monitoring of critical quantities, which is imperative to
improve operational efficiency and minimize downtime. In this paper, we
explore the feasibility and efficacy of deploying real-time
physics-based DTs for condition monitoring in electric motor
applications. Particularly, we focus on employing on-the-edge DTs,
implemented on low-power onboard microprocessors, ensuring continuous
communication with the physical asset for reliable real-time monitoring.
The study applies DT technology to a high-voltage high-density Electric
Vehicle (EV) motor, assessing its predictive capabilities in a
real-world scenario. Results showcase the potential of DTs in
revolutionizing condition monitoring, thereby meeting the evolving
operational and maintenance requirements of contemporary electric motor
systems.
Dimensional Outlier Detection
Authors: Yang Jiawei , Rahardja Sylwan , Rahardja Susanto
Published: March 2024

Few outlier detectors have considered all industrial standards in time
complexity, space complexity, accuracy, interpretability, and
scalability, which is very challenging in big data applications. To
address these challenges, we proposed a framework for dimensional
outlier detection (FDOD) to detect outliers that are dimensionally
separable. Based on FDOD, two detectors were discovered. Both
outperformed all 22 baseline state-of-the-art detectors including 10
detectors published in recent three years with 18 real-world datasets.
Compared to existing standards, one proposed detector had around 4%
improvement evaluated by the area under the receiver operating
characteristic (ROC AUC) and required only 42% computational time and
13% memory usage and another proposed detector was even better. The
techniques suggested are suitable for deployment in mobile settings that
require the utilization of lightweight models. This study also poses a
question to the outlier detection domain that whether technically
complex solutions are really needed for outlier detection in big data
applications since normally complex solutions require more computational
resources. Besides, we advocate for opening larger outlier detection
datasets from the industry to support the development of outlier
detection in big data. The implementation of the proposed methods can be
found on www.OutlierNet.com for
reproducibility.
Using VR in a Two-Month University Course
Authors: Joskowicz Jose , González Fabricio , Urrestarazú Inés
Published: March 2024

Fourteen students and the professors attended the ”Accounting in integrated management systems” class using Meta Quest 2 VR headsets during seven 1-hour sessions, one session per week. Different aspects were analyzed during the sessions, including audiovisual quality, comfort, sickness, immersion, presence, fatigue, cognitive load, and useful of the technology for the academic purposes.
Identification and Quantification of Common Adulterants in Extra Virgin Olive Oil Using Microwave Dielectric Spectroscopy Aided by Artificial Neural Network Classifiers
Authors: Alarcon Julio C. P. , Souza Mateus I. O. , Pepino Vinicius Marrara , Borges Ben-Hur Viana
Published: March 2024

(This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version
may no longer be accessible.)

In this work, we combine microwave dielectric spectroscopy and machine
learning techniques to assess the authenticity of extra virgin olive oil
(EVOO). We investigate four common adulterants of EVOO, namely soybean
oil, corn oil, sunflower oil, and canola oil. We use a low-cost spiral
shaped microwave resonator-based sensor operating at 546.8 MHz to detect
changes in the complex permittivity of oil samples. A vector network
analyzer (VNA) is used to extract complex scattering parameters S11 and
S21 that serves as inputs for two artificial neural network models. The
first model, using only the real and imaginary parts of S21, achieves an
overall accuracy of 95.8% in predicting the applied adulterant in test
samples. In contrast, the second model, incorporating the real and
imaginary parts of both S11 and S21, attains a 100% accuracy for test
samples. Additionally, we investigate the relationship between the
measured |S21| (in dB) and the adulteration level,
expressed as the percentile value of the volume of adulterant per volume
of the sample (mL/mL). For each adulterant, a calibration equation is
developed using partial least squares regression (PLSR) to predict
adulteration levels up to 50%. The maximum root mean square error
(RMSE) is 2.1% for canola oil adulteration prediction. PLSR yields RMSE
values of 0.9% for soybean oil, 1.1% for corn oil, and 1.0% for
sunflower oil adulteration. This methodology offers both qualitative and
quantitative analyses of EVOO, capable of identifying adulterations as
low as 5% with a simple, portable, and practical system.
Subject-specific modelling of the Subglottal Pressure Estimation From Neck-Surface Vibration Signals by Domain Adaptation
Authors: Ibarra Emiro J. , Arias-Londoño Julián D. , Godino-Llorente Juan , Mehta Daryush D. , Zañartu Matías
Published: March 2024

Subglottal air pressure is a relevant physiologically-based feature that
describes key underlying pathophysiological processes in people
experiencing voice disorders. However, the assessment of subglottal
pressure in both laboratory and ambulatory settings presents challenges
due to the need for specialised instruments and invasive procedures. In
a previous work, we introduced a promising method to estimate this
feature from neck-surface acceleration signals, leveraging an approach
that combines a synthetic model of voice production, notable for its
high physiological relevance, with a neural network-based regression. In
the search for more accurate subject-specific models, this study builds
on that previous work refining the neural network regressor, which was
initially trained only with simulations from a synthetic voice
production model. The refinement is carried out following a domain
adaptation strategy from synthetic to in vivo laboratory data, resulting
in a better estimate of the subglottal pressure. The in vivo recordings
correspond to synchronous measurements of oral airflow, intraoral
pressure, and signals from a microphone and an accelerometer. The
methods are applied to normophonic voices and others with disorders,
such as unilateral vocal fold paralysis, and phonotraumatic and
nonphonotraumatic vocal hyperfunction. Each participant was asked to
articulate /p/- vowel syllable strings varying the loudness, vowels,
pitch, and voice quality. Compared to approaches previously reported in
the literature, the method presented leads to a set of subject-specific
models that yields improvements over 21% (root mean square error) for
the estimation of the subglottal pressure. These findings highlight that
a non-linear subject-specific regression approach can be an effective
method to improve the estimation of the subglottal pressure from
neck-surface vibration signals.
Preparation of high-concentration charged solutions through dual electrostatic method for ice crystals and desalination
Authors: Miao Zhongzheng
Published: March 2024

Under typical circumstances, it is commonly believed that solutions carrying a single type of charge are either nonexistent or unstable. We have investigated the principles of high-concentration charged solution preparation techniques, employing methods such as electrostatic attraction, gravity separation, positive feedback, and self-powered mechanisms to effectively separate anions and cations in solution. Through electrostatic repulsion and the use of electrostatic separation networks, the partition of homoelectric ions has been achieved. Through water and electric separation, the capability for sustained accumulation of single-charge species has been attained, thus overcoming application bottlenecks and establishing evidence for the existence of charged solutions. We have proposed voltage limits and predicted phenomena such as electrostatic boiling, topological ice crystals, and strange ice crystals, thereby opening new perspectives and possibilities for enriching the understanding and research of electrostatics and electrochemistry. The introduction of the high-concentration charged solution and its controllable preparation are expected to facilitate or pioneer research in various fields including seawater desalination, wastewater treatment, hydrovoltaic power generation, and topological ice crystals, etc. This advancement holds the potential to rectify relevant discussions in textbooks. Implementing the dual electrostatic method for self-powered desalination and purification, coupled with wind, solar, and pumped hydro storage technologies, can aid in mitigating the intermittency and waste of wind and solar power, thus advancing the cause of seawater for land.
Current Transducer Based on Thermoformed Piezo-magnetic-electrets
Authors: Santos Amélia Moreira , Moreira Rui A , Silveira Tagleor M , Altafim Ruy A P , Silva Elvio P , Santo Polyane A , Lima Ronaldo M , Altafim Ruy A C
Published: March 2024

Thermoformed tubular channels piezoelectrets exhibiting
piezoelectric-magnetic behaviors were recently presented as Thermoformed
Magnetic-Piezoelectrets (TMPs). This alternative sensor was suitable for
detecting external magnetic fields from distant magnets. In this
contribution, TMPs transducer was investigated as current sensor, where
the magnetic field produced by an electrical current passing through a
energized wire, mechanically stimulate the TMP and consequently disrupt
the electrical charge equilibrium providing an proportional electrical
signal. The charge variation was correlated with the magnetic field
intensity providing a piezo-magnetic coefficient, similar to those noted
in traditional piezoelectrets. It has been noticed that under certain
conditions TMP could present coefficients up to 498 × 10^5 pC/T. From
these results, it was concluded that such a polymer-based device is
suitable for monitoring electrical currents in live wires, providing an
interesting solution for non-invasive current transducers with a reduced
footprint.
Evaluating the Prospect of Large-Scale Integration of Renewable Energy Sources and How It Can Replace the Need for Fossil Fuels
Authors: Lawani Efosa
Published: March 2024

Energy security concerns, resource depletion, and environmental
degradation have resulted from the world’s reliance on fossil fuels;
this is an urgent research issue that needs resolution. As an
alternative to fossil fuels, the key focus of this study was to assess
the viability of an extensive combination of renewable energy sources
such as solar, wind, and hydropower. The other objectives included
assessing the current state of renewable technologies, identifying
strategies to promote extensive adoption, analyzing integration
challenges, and determining their capacity to meet global energy
demands. The study was conducted using a descriptive technique and
quantitative analysis. The study population comprised individuals with
expertise in renewable energy, such as policymakers and industrialists.
Ten individuals were selected using the purposive sampling method; five
were industrialists, and five were policymakers. The data was gathered
via surveys, and Excel was utilized to perform the statistical analysis.
The research findings highlighted a clear trend of increasing
consumption of renewable energy sources over the years, particularly
evident within the European Union. This information provides
policymakers with valuable evidence of the union’s dedication to
sustainability. Developed nations and developing nations both
demonstrated increasing trends in investment, suggesting growing
international recognition of the renewable energy industry. However, the
most striking pattern here is that younger people are much more
knowledgeable about renewable energy technologies and more familiar with
their effects, indicating that the future of adoption lies in the hands
of generations to come. The study’s findings indicate that despite the
presence of obstacles, there is an increasing impetus for the worldwide
integration of renewable energy sources to address energy requirements
and mitigate emissions. Prominent suggestions encompass mitigating
obstacles to integration, establishing policies that provide support,
funding ongoing research, and encouraging collaboration among
stakeholders to facilitate the pivotal shift towards a sustainable
energy environment.
Dynamic linear threshold model with decay for influence spread
Authors: Wu Xunlian , Zhang Anqi , Quan Yining , Miao Qiguang , Sun Peng Gang
Published: March 2024

Influence spread within social networks exerts a profound impact on
individuals’ perceptions, opinions, and behaviors. The complexity of
influence spread poses significant challenges to its accurate modeling.
Traditional approaches, such as the Linear Threshold (LT) model, offer a
simplified depiction of this phenomenon but overlook the temporal decay
of influence. To address this limitation, we introduce a Dynamic Linear
Threshold Model with Decay (DLTD), incorporating three distinct decay
strategies: random decay, linear decay, and nonlinear decay. Comparative
analyses on real-world datasets reveal that DLTD achieves superior
accuracy over the LT model, particularly when employing linear decay.
Notably, DLTD demonstrates enhanced alignment with ground-truth spread
as the initial seed set expands and exhibits greater resilience to
variations in network structure. Furthermore, an interesting finding
indicates that the balance between community structures’ internal links
and external links is more effective for influence spread.
ESSDM: An Enhanced Sparse Swarm Decomposition Method and Its Application in Multi‐class Motor Imagery–Based EEG-BCI System
Authors: Bhalerao Shailesh , Pachori Ram Bilas
Published: March 2024

Electroencephalography (EEG)-based motor imagery (MI) decoding has
established a novel experimental paradigm in brain-computer interface
(BCI) applications that offer effective treatment for stroke paralyzed
patients. However, existing MI-EEG-based BCI systems introduce
deployment issues because of nonstationary EEG signals, suboptimal
features, and limited multi-class scalability. To tackle these issues,
we propose an enhanced sparse swarm decomposition method (ESSDM) based
on selfish-herd optimization and sparse spectrum to solve the issue of
choice of uniform decomposition and hyper-parameters in swarm
decomposition and applied to enhance MI-EEG classification. ESSDM adopts
improved swarm filtering to automatically deliver optimal frequency
bands in sparse spectrums with optimized hyper-parameters to extract
dominant oscillatory components (OCs) that significantly enhance MI
activation-related sub-bands. In addition, new fitness criteria is
designed based on the Kullback–Leibler divergence distance from
spectral kurtosis of obtained modes to select hyper-parameters that
optimize decomposition effect, avoid excessive iterations, and provide
fast convergence with optimal modes. Further, fused time-frequency graph
(FTFG) features were derived from computed time-frequency representation
to find cross-channel mutual spectral information. The experimental
results on the 2-class BCI III-4a and 4-class BCI IV-2a datasets reveal
that the proposed FTFG feature with CapsNet classifier framework
(ESSDM-FTFG-CapsNet) outperformed existing methods in specific-subject
and cross-subject scenarios.
Experimental validation of an Actor-Critic Model Predictive Force Controller for robot-environment interaction tasks
Authors: Pozzi Alessandro , Ferrentino Enrico , Petrone Vincenzo , Puricelli Luca , Chiacchio Pasquale , Braghin Francesco , Roveda Loris
Published: March 2024

In industrial settings, robots are typically employed to accurately
track a reference force to exert on the surrounding environment to
complete interaction tasks.

Interaction controllers are typically used to achieve this goal. Still,
they either require manual tuning, which demands a significant amount of
time, or exact modeling of the environment the robot will interact with,
thus possibly failing during the actual application.

A significant advancement in this area would be a high-performance force
controller that does not need operator calibration and is quick to be
deployed in any scenario.

With this aim, this paper proposes an Actor-Critic
Model Predictive Force Controller
(ACMPFC), which outputs the optimal setpoint to follow in order
to guarantee force tracking, computed by continuously trained neural
networks.

This strategy is an extension of a reinforcement learning-based one,
born in the context of human-robot collaboration, suitably adapted to
robot-environment interaction.

We validate the ACMPFC in a real-case scenario featuring a Franka Emika
Panda robot.

Compared with a base force controller and a learning-based approach, the
proposed controller yields a reduction of the force tracking MSE,
attaining fast convergence: with respect to the base force controller,
ACMPFC reduces the MSE by a factor of 4.35.
Multipath-RTI: Millimeter-Wave Radio Based Device-Free Localization
Authors: Ikegami Togo , Kim Minseok , Miyake Yuto , Tsukada Hibiki
Published: March 2024

This paper presents a novel localization technique—Multipath-radio
tomographic imaging (RTI)—based on millimeterwave (mm-wave) radio
systems, such as 5G mobile and WiGig LAN systems. Because of their high
delay and angle resolutions, mm-wave radio systems can realize highly
accurate device-free localization (DFL) for smart home/smart building
applications. They can thus easily separate the multipath components.
The Multipath-RTI can drastically reduce the number of anchor nodes
using virtual nodes created by multipaths. This paper established the
signal processing procedure for RTI image generation and position
estimation using Multipath-RTI. Then, a practical signal processing
scheme, ray-tracing-assisted Multipath-RTI, is presented, and the DFL
results obtained by multilink double-directional channel sounding
measurements are shown. Here, the position estimation errors in the
measurements were less than 0:5 m for all target positions. Furthermore,
the empirical position estimation errors for a single target under
various conditions obtained by simulations were less than 0:5 m in 96.2
% and 88.0 % of the areas in an L-shaped room and a room with an
obstacle in the center, respectively. The position estimation accuracy
for multiple targets was also evaluated, where, for example, the errors
for three targets were less than 0.1 m at 50 % probability with failure
rates of less than 20 %.
Meckel's Diverticulitis: About 5 Pediatric Observations Collected at the Nianankoro FOMBA Hospital in Ségou, Mali
Authors: S Coulibaly O. , A Singuepiré , H Beydari B. , G Ngom , O Ndour , A Kodio , B Dramé , R Reding , F Veyckemans , Y Coulibaly
Published: March 2024

Meckel's diverticulitis or meckelitis is the infection of the Meckel's diverticulum. The aim of this work was to study the epidemiological, diagnostic, therapeutic and evolutionary aspects in the pediatric surgery department of the Nianankoro FOMBA hospital in Ségou, Mali. This was a retrospective study concerning observations between July 2010 and June 2012. We reported 5 observations in 2 years, representing a frequency of 2.5 cases per year. The average age was 6.6 years and the sex ratio was 1.5. Diagnostically, abdominal pain was the main reason for consultation followed by fever and vomiting. Physical examination found in all cases abdominal pain more or less associated with guarding in the right iliac fossa and peri-umbilical area. Abdominal bloating and contracture were noted in one case. There was hyperleukocytosis in all our 5 observations. The diagnosis was an operative discovery in 4 cases. Ultrasound was contributory in one case. Therapeutically, segmental resection of the small intestine removing the diverticulum, followed by immediate end-to-end anastomosis of the small intestine was the only technique performed in all our patients. The postoperative course was simple in 4 cases. A wall abscess with a favorable outcome was noted. Histological examination confirmed meckelitis at different stages (inflammatory, abscessed, gangrenous or necrotic). Gastric heterotopia was noted in one observation.
Avanços em Cirurgia Plástica Minimamente Invasiva
Authors: Fernandes da Silva Marcos , Araújo Shirlei de Oliveira Soares , Rozeira Carlos Henrique Barbosa , Matos Alcemar Antonio Lopes de , Rozeira Carlos Felipe Barbosa , Ferreira Erick Oliveira , Sousa Cícero Roniel de , Parente Sarah Beatriz Mourão , Gomes Marcelly da Conceição Seixas Abreu , Pereira Iara de Faria , Gentil Isabela Bezz dos Santos , Martins Keyla Farias
Published: March 2024

O artigo aborda a crescente popularidade e os avanços recentes na cirurgia plástica minimamente invasiva, destacando seus benefícios, complicações e comparações com os métodos tradicionais. Inicialmente, ressalta-se a importância da vaidade e autoestima na busca por procedimentos estéticos, destacando o contexto brasileiro como um dos líderes mundiais nesse campo. A metodologia adotada envolve uma pesquisa exploratória, utilizando revisão de literatura e buscando contribuir tanto para o conhecimento científico quanto para a aplicabilidade prática desses procedimentos. O desenvolvimento do artigo aborda diversas questões relacionadas à cirurgia plástica minimamente invasiva. Destacam-se as vantagens desses procedimentos, como recuperação mais rápida, menores cicatrizes e complicações, e maior precisão, especialmente em idosos e em cirurgias relacionadas a distúrbios crônicos. O texto compara também as técnicas inovadoras, como injeções de preenchimento facial, radiofrequência, ultrassom e laser, ressaltando seus benefícios na obtenção de resultados estéticos. Por outro lado, são discutidas as desvantagens, como custo mais elevado, desafios técnicos adicionais, limitações em casos complexos e possíveis complicações específicas, como infecção, formação de hematomas ou seromas e reações adversas à anestesia. A conscientização e preparo para lidar com essas complicações são enfatizadas como fundamentais para garantir a segurança e o bem-estar dos pacientes, além da necessidade de busca contínua por melhores práticas e protocolos de segurança nessa área.
ESTRATÉGIAS PARA O CUIDADO DE PACIENTES COM DOENÇA CRÔNICA
Authors: Nascimento Maria Eduarda Bezerra do , Laurindo Ashley Caymmi de Albuquerque , Santos Pedro Henrique Cavalcanti Chaves , Mendes Alan Eduardo Seglin , Silva Jéssica Sampaio , Pena Bianca Marinho Sampaio , Massena Thalita Pires , Luz Rafael Augusto Liston da , Jesus Elizabete da Silva Dantas de , Silva Lídia Amélia Félix da , Ribeiro Lígia Lopes , Silva Fabio Jose Antonio da
Published: March 2024

Embora o Sistema Integrado de Saúde (SUS) tenha conseguido muitas coisas, o rápido envelhecimento da população, a natureza mutável da epidemia e muitas mudanças socioeconómicas causaram, nos últimos anos, novos desafios para o SUS. Entre eles, a atenção aos pacientes com doenças crônicas e problemas que surgem no sistema de saúde existente, no nível macro (administrativo, jurídico, autônomo) e no nível micro, ou seja, aqueles envolvidos em: processos de trabalho. A coleta de dados, esta foi realizada por meio das seguintes: Base de Dados de Enfermagem (BDENF), Biblioteca Eletrônica Científica Online (SCIELO), PubMed e Literatura em Ciências da Saúde da América Latina e do Caribe (LILACS).  Neste sentido de grupo de cuidados adequado, este artigo focará no processo de criação de uma rede local de saúde; trabalho governamental; reforço dos cuidados de saúde primários (CSP); o papel da APS no tratamento de pacientes críticos. Nesse sentido, descreveremos e comentaremos as ações recentes do Ministério da Saúde que se equiparam ao conceito de tratamento de pessoas com doenças crônicas.
Interleukin 8 and bronchial phagocytes in patients with non-allergic asthma and diverse respiratory responses to cold stimulus
Authors: Pirogov A. B. , Prikhodko A. G. , Perelman J. M.
Published: March 2024

Introduction. The role of phagocytes, regulated by interleukin 8 (IL-8), in the formation of the bronchial response to environmental stimuli in patients with asthma is not well understood.

Aim. To study the functional activity of IL-8 and the pool of phagocytic cells in the inflammatory pattern of the bronchi in patients with non-allergic asthma during inhalation exposure to cold air.

Materials and methods. In 129 patients with mild to moderate asthma, the content of IL-8 and the cellular composition of sputum before and after the bronchoprovocation test with isocapnic hyperventilation with cold air (-20°C) (IHCA) were analyzed.

Results. Based on the results of the IHCA by the assessment of changes in FEV1 (Δ,%), 54 patients (1st group) were verified with cold airway hyperresponsiveness (CAHR), the comparison group consisted of asthma patients (2nd group, n=75) who did not respond to the trigger (ΔFEV1 = -18.9±1.2 and -3.3±0.4%; p<0.0001, respectively). The content of neutrophils in sputum before provocation was 41.1±2.2% and 34.5±2.2% (p><0.05), macrophages – 36.2±2.7% and 43.1±2.5% (p> ˂ 0.0001, respectively). The content of neutrophils in sputum before provocation was 41.1±2.2% and 34.5±2.2% (p ˂ 0.05), macrophages – 36.2±2.7% and 43.1±2.5% (p>0.05), respectively. In response to the IHCA in the 1st group, the number of neutrophils increased to 48.2±2.0% (p ˂ 0.05), macrophages decreased to 28.7±2.1% (p ˂ 0.01), and the level of IL-8 increased from 12838±2328 to 17412±2980 pg/mL (p ˂ 0.05). In the 2nd group, the concentration of IL-8 before the IHCA was 14639±2691 pg/mL, after the test 10545±1746 pg/mL (p>0.05); the number of neutrophils after the test 40.0±2.3% (p>0.05); macrophages – 35.8±2.0% (p ˂ 0.01).

Conclusion. In asthma patients with CAHR, the inflammatory pattern of the bronchi in response to the cold trigger shows enhanced IL-8 activity and more pronounced changes in the content of phagocytes, mobilized with the involvement of this cytokine.
Improving the quality of control over the manufacture and assembly
of precision mechanic units
Authors: Rudneva Lоra Yu. , Pankratova Taisiya A.
Published: March 2024

The ways to improving the quality of control in the manufacture and assembly of precision instruments are
given as statistical information accumulates.
Body parts: casting or welding?
Authors: Evgenyeva Evgeniya A. , Dmitriyev Sergey I. , Samarkin Alekcandr I. , Dementiev Alekcandr M.
Published: March 2024

The options for obtaining blanks for body parts in mechanical engineering are analyzed.
Modeling of the influence of the time constant
of the thermodynamic subsystem of the cutting system
on the dynamics of metal turning
Authors: Lapshin Viktor P. , Stremilova Irina S. , Kolpakov Pavel A.
Published: March 2024

The mutual infl uence of the power component of the metal turning process by cutting on metal-cutting machines
and the temperature in the cutting zone is considered. The following research methods were selected: full-scale
and numerical experiments, in which the MatLab package of mathematical programs was used for data processing and
analysis. The results of fi eld and numerical experiments (graphs of the deformation coordinates of the tool, temperatures
in the cutting zone, phase trajectories of the deformation coordinates, as well as a graph of the total cutting force) have
shown that the developed mathematical model makes is possible to qualitatively assess the vibration load on the tool by
the measured value of the time constant of the thermodynamic subsystem.
Hopper feeding device with ring orientator for active orientation
of core parts with a conical end
Authors: Preis Vladimir V.
Published: March 2024

The design of an improved disk hopper feeding device with gripping organs in the form of radial through
sockets and an annular orientator for automatic loading of rod parts of the shape of bodies of rotation with the cylindrical
shape of one of the ends and the conical shape of the other into assembly technological systems, including those created
on the basis of rotor machines, is considered. The combination of the proposed technical solutions makes it possible to
ensure suffi ciently high reliability and productivity of the hopper feeding device at low circumferential speeds of the disk
with gripping organs, which is an important factor in the case of loading easily deformable parts or parts with easily damaged
coatings with a high coefficient of friction.
Evaluation of the applica bility of the gaussian distribution mixture
model for identification of the contact state in the problems of robotic
assembly of "shaft—sleeve" connections
Authors: Vartanov Mikhail V. , Nguyen Van Dung
Published: March 2024

The problem of evaluating the effectiveness of contact state recognition (CS) is solved based on the application
of the Gaussian Mixture Model (GMM) in a force-controlled robotic assembly. Using the proposed CS modeling strategy of
the GMM model based on the similarity measure of the distribution, a high degree of classifi cation success was obtained.
An experimental setup with an ABB IRB-140 industrial robot was used to evaluate the operability of the proposed method.
Disk hopper feeding device for active orientation of cylindrical parts
with a pointed end
Authors: Preis Vladimir V.
Published: March 2024

The design of a disk hopper feeding device with gripping organs in the form of radial through profi le sockets and
an orienting receiver window for automatic loading of cylindrical parts with a pointed end into automatic rotor machines and
lines, including when assembling multi-element products, is considered. The proposed technical solutions make it possible to
ensure suffi ciently high reliability and productivity of the hopper feeding device at low circumferential speeds of the disk with
gripping organs, which is especially important when loading easily deformable parts or parts with easily damaged coatings.
Bearing capacity and durability of rolling bearings of technical systems
Authors: Medelyaev Igor A.
Published: March 2024

The influence of mechanical loading conditions and the state of the contact surface of the working bodies
of rolling bearings on their bearing capacity and durability are considered.
It is shown that the existing assessment of the bearing capacity and durability of rolling bearings is made on the basis
of standard calculations that do not take into account the action of friction forces arising at the site of contact of rolling
bodies with the ring track, and heat generation in the contact zone of working bodies.
It is proved that the choice of rolling bearings should be carried out according to the specifi ed dynamic load capacity
curve, taking into account the conditions of mechanical loading, the infl uence of the temperature factor and the coeffi cient
of dynamism on the durability of bearings in the operating temperature range for the lubricant used.