bluuebunny/crossref_metadata_2025 huggingface dataset:
Plano de gerenciamento de riscos: uma proposta para o setor de manutenção da UFERSA
Authors:   , Silva Alberlan Fernandes da
Published: December 2024

A Gestão de Riscos é um tema que vem ganhando cada vez mais importância dentro da Gestão
Pública, atuando seja de forma preventiva ou como mecanismo de correção, considerando que,
para cumprir os fins a que as instituições se propõem, a busca por uma melhoria, nesse tipo de
gestão, implica uma melhoria no processo de eficácia organizacional. Dessa forma, esta
pesquisa tem como foco propor um modelo de plano de gerenciamento de riscos voltado para
os procedimentos de manutenção na Divisão de Manutenção e Instalações Físicas (DMIF) da
Universidade Federal Rural do Semi-Árido (UFERSA). Para tanto, foi necessário identificar
como está a implementação da Gestão de Riscos na instituição; analisar o funcionamento da
DMIF; analisar o processo de atendimento das demandas do setor, identificando os pontos que
causam impactos e que podem afetar a eficiência organizacional; e construir um modelo de
Gestão de Riscos para a DMIF. Realizou-se, então, uma pesquisa qualitativa para percorrer um
processo exploratório, indutivo e de observação, através de um estudo de caso na Divisão.
Diante disso, verificou-se que não há conhecimento, no setor, sobre a implantação da Gestão
de Riscos na UFERSA. Além disso, observou-se a falta de um plano de manutenção preventiva,
o que faz com que o trabalho seja realizado sempre de forma corretiva emergencial, não tendo
um processo mapeado do seu atendimento. Tal ação gera vários riscos ao setor no alcance dos
seus objetivos, constatando-se a importância da implantação de um modelo de gerenciamento
de riscos no setor.
A Importância da gestão do conhecimento em instituições do ensino superior: um estudo de caso na Universidade Federal Rural do Semiárido
Authors:   , Braga Priscilla Even Alves
Published: December 2024

As organizações públicas e privadas passaram por transformações ao longo do tempo, sempre
tentando acompanhar o dinamismo das relações sociais. Em tempos remotos o capital mais
importante das organizações estava relacionado aos ativos tangíveis, os bens materiais, os
imóveis, no entanto, nos últimos anos as atenções concentraram-se no capital humano em
primeiro lugar. Considerando esse contexto de mudanças e de valorização do capital humano é
que nasce a sociedade do conhecimento e a gestão do conhecimento torna-se ferramenta
necessária dentro de toda organização. Nas organizações públicas, a gestão do conhecimento
ganha importância à medida em que as mudanças trazem a necessidade de aumento na
eficiência e eficácia da prestação dos serviços. Diante deste novo cenário, o presente estudo
busca identificar as dificuldades vivenciadas pelos servidores da Universidade Federal Rural
do Semiárido na mudança de setor e quais ferramentas podem ser utilizadas para melhorar o
compartilhamento do conhecimento dentro da Instituição. Para tanto, foram investigadas as
práticas de compartilhamento do conhecimento das atividades administrativas, os atores, as
barreiras e facilitadores de conhecimento. A natureza metodológica da pesquisa é qualitativa,
com procedimento de estudo de caso. A coleta de dados foi realizada por meio de entrevistas
semiestruturadas com 10 servidores da instituição e análise documental, a saber, o plano de
desenvolvimento institucional - PDI, resoluções, manual de metodologia de gestão de processos
e escritório de processos. Para análise dos dados foi utilizada a técnica de análise de conteúdo
de Bardin e a exploração e codificação do material foi realizada por meio do software
ATLAS.TI. Com base nas análises foi possível identificar as dificuldades vivenciadas pelos
servidores quando mudam de setor, como inexistência de compilado normativo, dificuldades
em entender a rotina em virtude da ausência de ferramenta de consulta, rotinas integralmente
tácitas, dentre outros. Reconheceu-se ainda que dificuldades apresentadas são consequência da
transmissão do conhecimento realizada em grande parte por meio da socialização (de
conhecimento tácito para tácito). Foi possível reconhecer também a necessidade de
compartilhamento do conhecimento por meio da internalização (de conhecimento explícito para
tácito). Nesse sentido, restou evidente o pressuposto inicial acerca da importância de uma
efetiva gestão de conhecimento na UFERSA. Como produto técnico foi apresentado um plano
de ação, que sugere um manual wiki de rotinas administrativas, um checklist, e páginas
amarelas. A pesquisa contribuiu para a identificação das dificuldades vivenciadas pelos
servidores, bem como, para identificação das práticas e ferramentas que a UFERSA já dispõe
para o compartilhamento o conhecimento. Além disso, foi possível perceber que as ferramentas
já existentes podem ser aperfeiçoadas com a implantação das melhorias apresentadas.
Risk Factors for Silent Brain Infarction in Nonvalvular Atrial Fibrillation
Patients with Low CHA2DS2-VASc Score
Authors: Hao Lijun , Chen Xing , Sun Wei , Li Chunjian , Li Yimin , Kong Xiangqing
Published: December 2024

Background:

Silent Brain Infarction (SBI) has been found to be linked to an increased
risk of cognitive impairment and future symptomatic stroke. Atrial fibrillation is a significant
risk factor for SBI. Even in low-risk atrial fibrillation patients, the incidence of SBI remains
high. This study aims to investigate the risk factors for SBI in nonvalvular atrial fibrillation
(NVAF) patients with a CHA2DS2-VASc score of 0 to 1.

Methods:

A total of 301 consecutive low-risk NVAF patients (male: CHA2DS2-VASc=0, female:
CHA2DS2-VASc=1) were enrolled. According to brain Magnetic Resonance Imaging
(MRI), patients were divided into SBI (n=90) and non-SBI (n=211) groups. Baseline characteristics,
blood parameters, and echocardiography results were analyzed. Multivariate logistic regression
was performed to identify independent predictors. Receiver Operating Characteristic (ROC)
curve analysis was used to evaluate the diagnostic power of the relevant risk factors.

Results:

The study revealed that neutrophil count, monocyte count, Platelet-To-Lymphocyte
Ratio (PLR), neutrophil-to-high density lipoprotein cholesterol ratio (NHR), and left atrial diameter
(LAD) were significantly higher in the SBI group than non-SBI group (p <0.05). Multivariate
logistic regression analysis identified PLR (OR, 1.004; 95%CI 1.001-1.007; p =0.026) and
LAD (OR 1.092; 95%CI 1.054-1.130; p <0.001) as the independent risk factors associated with
SBI. The ROC showed that the Area Under the Curve (AUC) of PLR is 0.589 (95%CI 0.515-
0.662; p =0.015) with an optimal cut-off point of 151 (sensitivity 43.3%, specificity 74.6%). The
AUC of LAD is 0.676 (95%CI 0.606-0.746; p <0.001) with an optimal cut-off point of 39 mm
(sensitivity 61.1%, specificity 72.0%). The AUC of PLR combined with LAD is 0.711 (95%CI
0.646-0.777; p <0.001) with a sensitivity of 63.3% and specificity of 73.5% for SBI.

Conclusion:

PLR and LAD can be independent risk factors for SBI in NVAF patients with low
CHA2DS2-VASc scores. The combination of the two factors can enhance the predictive ability
of SBI in these patients.
Phytochemical and Bioactive Properties of Methanolic Leaf Extracts of Piper Betle (L.) from Sabah
Authors: Md Haris Md Akid , Sani Suraya Abdul , Sabullah Mohd Khalizan , Faik Ainol Azifa Mohd , Sudi Suhaini , Najmuddin Syed Umar Faruq Syed
Published: December 2024

Introduction

Non-healing wounds can lead to severe complications, highlighting the need for effective treatments. This study aims to develop natural wound care products or complementary therapies, bridging traditional knowledge with modern healthcare.

Methods

Phytochemical compounds and total phenolic and flavonoid content were measured. Antioxidant activities were evaluated using 2,2-diphenyl-1-picryl-hydrazyl-hydrate antioxidant assay and ferric reducing antioxidant power assay. Human dermal fibroblast neonatal cells were used to quantify the cytotoxicity effects of Piper betle extracts using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. The extract at different concentrations was used to treat the cells using a scratch wound healing assay. Finally, several dilutions of the extract were tested on three antibiotic-resistant Escherichia coli, Salmonella enterica, and Pseudomonas aeruginosa to measure the extract's antibacterial activity.

Results

Phytochemical screening identified all other key compounds (phenolic, flavonoid, glycoside, saponin, tannin, terpenoid) but alkaloids. It showed high mean phenolic and flavonoid values with moderately high antioxidant activities, whereby moderate EC50 value (138.8 µg/mL) and even higher metal-reducing ability 5393.79 ± 631.96 mg Fe (II)/g DW was calculated. The IC50 value was moderate at 67.54 µg/mL. The extract showed significant positive effects on the rate of wound closure (P < 0.05), demonstrating fully closed wounds in 24 and 30 hours after treatment. The extract significantly influences antibacterial activity (P < 0.05), with Pseudomonas aeruginosa being the most susceptible to growth inhibition, followed by Salmonella enterica, and lastly, Escherichia coli.

Conclusion

In conclusion, Piper betle leaf extracts fortified its application as a therapeutic antioxidant and wound healing agent by inhibiting bacterial growth and increasing wound contraction rate.
Model of Entrepreneurial Intention Among College Students with Gender Moderated
Authors: Isaskar Riyanti , Sheliena Esther , Dewi Heptari Elita
Published: December 2024

This research was conducted with the aim of analyzing the influence of factors on entrepreneurial intentions of students at the Faculty of Agriculture, Brawijaya University. The number of respondents in this research was 150 respondents who were UB Faculty of Agriculture students. The analysis method used is SEM-PLS analysis with the WarpPLS 7.0 application and uses attitude variables, subjective norms, perceived behavioral control and entrepreneurship education which are moderated by the gender variable. Based on the results of the analysis that has been carried out, it is known that: 1) attitudes, subjective norms, perceived behavioral control, and entrepreneurship education have a positive and significant effect on entrepreneurial intentions among students, 2) gender is significantly able to moderate the independent variables of subjective norms and entrepreneurship education and is reinforcing because the coefficient of the moderating variable is positive, 3) attitudes and perceived behavioral control cannot be moderated by gender. Therefore, self-development programs and skills training are needed as an effort to improve entrepreneurial abilities. Programs that can be organized by the Faculty of Agriculture, Brawijaya University are coaching classes and interactive workshops.
NAAR WIN-WIN IN DE BOUWSHIFT?
Authors: Cabus Peter
Published: December 2024

De Vlaamse regering wil dat we tegen 2040 geen bijkomende ruimte innemen. Dat zou tot 30 miljard kunnen kosten om de dan overblijvende percelen te compenseren. Gezien het begrotingstekort en de waarschijnlijke impact op betaalbaar wonen is het een legitieme vraag of we die miljarden belastinggeld willen besteden aan die schadevergoeding. Het lijkt nuttiger om samen met de sector op het terrein te investeren in ‘de grote verbouwing van Vlaanderen. Daarmee kunnen we de doelstellingen inzake energie, klimaat, water, betaalbaar wonen, mobiliteit en ruimtelijke verdichting geïntegreerd halen. Dat zou kunnen leiden tot een positief effect op de ruimtelijke ontwikkeling én op de begroting.
Improving Social Media-Based Support Groups for the Rare Disease Community: Interview Study With Patients and Parents of Children with Rare and Undiagnosed Diseases
Authors: Doyle Tom A , Vershaw Samantha L , Conboy Erin , Halverson Colin M E
Published: December 2024

Background

The rarity that is inherent in rare disease (RD) often means that patients and parents of children with RDs feel uniquely isolated and therefore are unprepared or unsupported in their care. To overcome this isolation, many within the RD community turn to the internet, and social media groups in particular, to gather useful information about their RDs. While previous research has shown that social media support groups are helpful for those affected by RDs, it is unclear what these groups are particularly useful or helpful for patients and parents of children with RDs.

Objective

This study aimed to identify what specific features of disease-related support groups (DRSGs) the RD community finds particularly useful or supportive and provide a set of recommendations to improve social media–based RD support groups based on this information.

Methods

Semistructured qualitative interviews were performed with patients and parents of patients with RDs. Interview participants had to be at least 18 years of age at the time of the interview, be seen by a genetics specialist at a partner health care institution and be proficient in the English language. Social media use was not a prerequisite for participation, so interview participants ranged from extensive users of social media to those who chose to remain off all social media. All interviews were conducted by phone, recorded, and then transcribed. Interview transcripts were then coded using the 6 steps outlined by Braun and Clarke. Three researchers (TAD, SLV, and CMEH) performed initial coding. After this, the study team conducted a review of themes and all members of the team agreed upon a final analysis and presentation of data.

Results

We conducted 31 interviews (mean age 40, SD 10.04 years; n=27, 87% were women; n=30, 97% were non-Hispanic White). Thematic analysis revealed that social media DRSG users identified the informational usefulness of these groups as being related to the gathering and sharing of specific information about an RD, clarification about the importance and meaning of certain symptoms, and obtaining insight into an RD’s progression and prognosis. Participants also identified that DRSGs were useful sources of practical information, such as tips and tricks about managing RD-related issues and concerns. In addition, participants found DRSGs to be a useful space for sharing their disease-related stories but also highlighted a feeling of exhaustion from overexposure and overuse of DRSGs.

Conclusions

This study identifies the usefulness of DRSGs for the RD community and provides a set of recommendations to improve future instances of DRSGs. These recommendations can be used to create DRSGs that are less prone to splintering into other DRSGs, thus minimizing the risk of having important RD-related information unhelpfully dispersed amongst a multitude of support groups.
Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review
Authors: Luo Aijing , Chen Wei , Zhu Hongtao , Xie Wenzhao , Chen Xi , Liu Zhenjiang , Xin Zirui
Published: December 2024

Background

Although catheter ablation (CA) is currently the most effective clinical treatment for atrial fibrillation, its variable therapeutic effects among different patients present numerous problems. Machine learning (ML) shows promising potential in optimizing the management and clinical outcomes of patients undergoing atrial fibrillation CA (AFCA).

Objective

This scoping review aimed to evaluate the current scientific evidence on the application of ML for managing patients undergoing AFCA, compare the performance of various models across specific clinical tasks within AFCA, and summarize the strengths and limitations of ML in this field.

Methods

Adhering to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, relevant studies published up to October 7, 2023, were searched from PubMed, Web of Science, Embase, the Cochrane Library, and ScienceDirect. The final included studies were confirmed based on inclusion and exclusion criteria and manual review. The PROBAST (Prediction model Risk Of Bias Assessment Tool) and QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2) methodological quality assessment tools were used to review the included studies, and narrative data synthesis was performed on the modeled results provided by these studies.

Results

The analysis of 23 included studies showcased the contributions of ML in identifying potential ablation targets, improving ablation strategies, and predicting patient prognosis. The patient data used in these studies comprised demographics, clinical characteristics, various types of imaging (9/23, 39%), and electrophysiological signals (7/23, 30%). In terms of model type, deep learning, represented by convolutional neural networks, was most frequently applied (14/23, 61%). Compared with traditional clinical scoring models or human clinicians, the model performance reported in the included studies was generally satisfactory, but most models (14/23, 61%) showed a high risk of bias due to lack of external validation.

Conclusions

Our evidence-based findings suggest that ML is a promising tool for improving the effectiveness and efficiency of managing patients undergoing AFCA. While guiding data preparation and model selection for future studies, this review highlights the need to address prevalent limitations, including lack of external validation, and to further explore model generalization and interpretability.
Livelihood Assets and Households Vulnerability toward Food Commodity Price: An Evidence from Post-Disaster Community in Banda Aceh
Authors: Zikri Irfan , Hasibuan Indiriyani , Sofyan Sofyan , Ginting Litna Nurjannah , Takahashi Makoto , Hamid Ahmad Humam
Published: December 2024

The recovery process following the 2004 mega-disaster and the Covid-19 pandemic have significant implications for the dynamics of change and community resilience in Banda Aceh. A resilient community is characterized by the ability to adapt to various threat risks, including volatile market conditions. Therefore, this study aimed to investigate livelihood assets in Banda Aceh and the influence on households vulnerability to fluctuation in the market price of food commodity. To achieve this objective, the study used a questionnaire survey method with 560 household heads as the unit of analysis spread across 28 villages in Banda Aceh. Furthermore, data were analyzed using a descriptive method to calculate livelihood assets and vulnerability index, along with multiple linear regression to analyze the effect of livelihood capital on vulnerability. The results showed that the condition of human and financial capital was still weak compared to social and physical capital. Households also had a high level of vulnerability to fluctuation in food prices. Statistically, human, financial, and social capital had a significant effect on households vulnerability. This study showed the importance of fostering both human and financial capital at the households level to improvequality of life and economic resilience. There were also needs for initiatives to improve social networks as a means of adapting to unexpected events.
The effect of a combination of nitrogen and phosphorus fertilization with bamboo biochar rate on the growth and productivity of rice
Authors: Mahyudi Mahyudi , Purwanto Benito Heru , Hanudin Eko
Published: December 2024

The combination of fertilizer treatment with biochar has shown to be a sustainable and ecologically friendly method of increasing soil fertility and crop productivity. However, its combined impact on nutrient availability and rice yield is still unclear. This study aimed to investigate the effect of bamboo biochar produced by the Kontiki method in combination with nitrogen and phosphorus fertilization on nutrient availability in the soil and the productivity of rice. The treatment factors included the fertilizer combination factor (B) consisting of B1 (N + P fertilizer + Biochar), B2 (N fertilizer + Biochar), B3 (P fertilizer + Biochar), and B4 (Biochar + no fertilizer), and the biochar dose factor (F) comprising F0 (0 tons ha⁻¹), F1 (5 tons ha⁻¹), and F2 (10 tons ha⁻¹), resulting in 36 experimental plots with 12 treatment combinations. Measurement of ammonium and nitrate concentration in the soil started on the 15th day after planting, following the measurement of the growth of rice plant biomass with an interval of 15 days. The measurement of available P in the soil was started on day 45 after planting and continued until harvesting time with the same time intervals as the measurements of ammonium and nitrate. The study found that combining bamboo biochar treatment with nitrogen and phosphorus fertilizer greatly boosted the availability of nitrogen (ammonium and nitrate) and availability of P in the soil. Treatment combinations improved lowland rice yield (P < 0.05) by increasing plant height, number of tillers, dry weight of shoots and roots, grain weight per clump, 1000-grain weight, and grain yield.
Phosphorus status of five wetlands in Edo State
Authors: Edosomwan Lawrence Nosa , Agbogun Lucky , Agbonifo Patience Osariemen
Published: December 2024

This experiment was performed to determine the phosphorus levels in certain wetland soils in Edo State, Nigeria. Soil samples were collected from five wetlands at two depths: 0–15 cm and 15–30 cm. The samples were air-dried, sieved, and analyzed to ascertain the physical and chemical properties of the soils using standard laboratory techniques. The findings indicated that the majority of soil pH levels were slightly acidic, ranging from 6.6 to 7.0 (neutral), with the exception of soils from Obiemen, Agwa, and Benin, which exhibited moderate acidity (4.2–4.8). Soils from Irrua (Obiemen and Agwa) and Benin (Ikpoba Okha) demonstrated elevated phosphorus content, with a P range of 11.41–15.70 mg/kg, whereas soils from Ekpoma (Opoji), Benin (Oka-Naruovia), and Benin (Orhiomwon) exhibited low phosphorus levels, ranging from 2.88 to 5.56 mg/kg. There was a direct relationship between soil pH and the available phosphorus content. Therefore, there is need to augment the soils with P-fertilizers for increase crop productivity.
The Study on Vocabulary Learning and Application Strategies Based on Construct Theory
Authors: PAN JIAOLAN
Published: December 2024

This study explores vocabulary learning and application strategies through a constructive theoretical perspective, aiming to improve understanding and application in an educational environment. Lexical acquisition is critical to language proficiency and requires effective initial learning strategies and long-term retention. Construction theory holds that learning is a positive and constructive process, and learners build new knowledge on the existing framework through participation and reflection.Initial vocabulary learning strategies include activities that promote meaningful interactions with novel words, such as context embedding, memory devices, and semantic elaboration. These methods encourage deep processing, thereby improving comprehension and memory. For applications, strategies such as interval repetition, retrieval practices, and multi-modal learning experiences are essential. These approaches leverage the brain's practical capabilities, through repeated exposure and active recall, consistent with construct principles of learner-centered and experiential learning.The study used quantitative and comparative methods to assess the effectiveness of these lexical strategies in different demographic and educational contexts. It includes interviews and observational data to understand how learners engage and adapt these strategies in real-world settings. Quantitative measures assess lexical retention and comprehension level and provide empirical evidence of the effectiveness of the strategy.The results suggest that integrating construct-inspired vocabulary learning and application strategies can not only improve immediate learning outcomes, but also promote deeper conceptual understanding and long-term retention. The study suggests that curriculum development and teaching practice prioritize active learner engagement and individualized learning pathways. It also highlights the need for teacher training and professional development to effectively implement these strategies in different classroom settings.
Datenexzellenz: Strategien für Österreich
Authors:   ZSI - Zentrum für Soziale Innovation, Schürz Stefanie , Konzett-Smoliner Stefanie , Stampfer Michael
Published: December 2024

Um in einer zunehmend komplexen, digitalisierten Welt den Anschluss nicht zu verlieren – und zumindest in Teilbereichen eine Vorreiterrolle einzunehmen – braucht Österreich eine zeitgemäße nationale Datenstrategie. Die dazu im Positionspapier formulierten Ziele und empfohlenen Maßnahmen richten sich vornehmlich an den öffentlichen Sektor und sollen, dort wo sinnvoll und möglich, Eingang in private Organisationen finden. Ziel ist es, proaktiv den Umgang mit Daten, deren Produkte, Einsichten, Analysen und Resultate besser zu gestalten und zu formen, um die Basis für evidenzbasierte Entscheidungen der öffentlichen Verwaltung, die Wahrung des Gemeinwohls, sowie die wirtschaftliche und wissenschaftliche Wettbewerbsfähigkeit Österreichs zu gewährleisten. Insbesondere sind Datenkompetenzen im doppelten Sinne zu stärken: Einerseits hinsichtlich einer Entscheidungskompetenz über die Zuständigkeiten und damit verbundenen Ressourcen; hier sind nachhaltige personelle, finanzielle, materielle und technische Ressourcen gemeint. Andererseits geht es um Qualifikationen, also notwendige Kenntnisse und Fähigkeiten, die vorhanden sein müssen, um die Herausforderungen eines immer komplexer werdenden Datenökosystems zu meistern.
Diese Datenkompetenz legt den Grundstein für die Bildung und Wahrung der Datenexzellenz, der Fähigkeit also, durch Einhaltung festgelegter Metadaten- und Qualitätsstandards (z.B. hinsichtlich Datenqualität, Prozessqualität, operativer und rechtlicher Exzellenz), passende, transparente und konforme Daten hoher Qualität sicherzustellen.
Für eine österreichische Datenstrategie ist also zentral, auf nationaler Ebene einen Regelrahmen und eine Rollenverteilung für die bessere Nutzung unterschiedlicher Datenbestände für das Gemeinwohl zu etablieren.
The Development of an Input Protective Circuit of the Radio Frequency (RF) Path of the High Frequency (HF) Band Receiver
Authors: Kolotov A.S. , Kopysov A.N. , Khvorenkov V.V.
Published: December 2024

The article presents the results of the input protection circuitdevelopment, the main purpose of which is to limit the signals of high-power entering the HF receiverRF path on the antenna input. The input protection circuit protects the sensitive components and elements of the receiver from overload and failure.The need to ensure the reliability and safety of complex communication systems and complexes is only increasing every year.The relevance of input circuitprotection may occur at small separation of the receiver and the source of interference, under the conditions of electronic warfare. The principle of the developed circuit is based on the relay switchcontrol.The method for selecting the parameters of circuitcomponents is described.The practicalprototype tests of the input protection circuit were carried out, being installed at the input of the manufactured HF band receiver. During the practical experiment, shortcomings were identified that were not revealed in the simulation model built in the NI Multisim environment.In particular, it is a local heating of the two components on the printed circuit board, caused primarily by capacitive resistance and weak filter attenuation introduced within the range of 23…30 MHz. Theways to improve the existing protection circuit are noted. An important feature of the circuit is that after minor modification of the input detector contour, the developed circuit can be used at VHF frequencies, up to 520 MHz.The advantages of the scheme should also include a short response time - 1.27 ms, insertion attenuation - less than 0.01 dBm. The product remains operational after applying a sinusoidal RF signal on the antenna input for 15 minutes with an EMF of 100V in the operating frequency range.
Modified Radial Bearing Wear Resistance Assessment with Respect to Compressibility
Authors: Bolgova E.A. , Mukutadze M.A. , Prihod'ko V.M.
Published: December 2024

Polymer composite materials in the form of antifriction coatings arewidely used nowadays in heavily loaded low-speed tribosystems of various machines, providing significant resources for friction units. The use of liquid lubricants makes it possible to expand the speed range of their applicability since it provides a transition from self-lubrication boundary friction to liquid friction under hydrodynamic conditions. Then, coatings will be active during starts and runouts, and lubricant will work during stationary mode. Liquid lubricant moving in the working gap inevitably contains atmospheric gases, that significantly affect the performance characteristics of a lubricant, and primarily, its compressibility. Therefore, the introduction of the compressibility parameter into the model allows a more accurate prediction oflubricant behavior and lubrication efficiency in various bearing operating modes. This study includes the development and analysis of a mathematical model of a micropolar lubricant for a polymer-coated bearing on the bearing sleeve support surface. The modified bearing design provides for a polymer coating with a groove, which improves the distribution of lubricant and increases the durability of the system. The novelty of the work lies in the methodology development for design engineering analysis of thepolymer coating journal bearingwith a groove, taking into account compressibility, allowing to determine the value of the main tribotechnical parameters. The aim of the work is to assess wear resistance of the modified design of journal bearing, taking into account the compressibility of the micropolar lubricant. Based on the motion equation of the liquid lubricant under study, the continuity equation and the equation of state, new mathematical models were obtained taking into account the compressibility of the lubricant. The results of the study showed that the modified design of the bearing with a polymer coating and groove significantly improved its performance. A decrease in the friction coefficient value and an increase in the bearing capacity of the bearing in comparison with conventional designs were noticed. The modified design of the journal bearing allowed clarification of friction coefficient by 8-11% within the range of the studied modes, taking into account an additional parameter - the lubricant compressibility.
Problems of Aviation Gear Dynamics
Authors: Kalinin D.V.
Published: December 2024

The relevance of gearing dynamics study increases with the development of gear drive designs: increasing their speed and specific transmitted load. As for the standard techniques, the question of dynamic load assessment in gears is considered partially and requires considerable improvement. The article describes the well-known types of failures and consequences of high dynamic loading during operation of aircraft engine gearboxes. A review of the existing assessment methods of gearbox dynamics is carried out, and an original approach to dynamic processmodeling in gears, determining dynamic loads and natural vibration frequencies, based on the experience analysis of the breakdowns and development of highly loaded aircraft gears, is proposed. Recommendations for reducing gearing vibration activity at the design stage are formulated, as well as qualitative approaches to transmissiontechnical condition analysis on the basis of vibration diagnostic methods. A dynamic model of a spur gear, considering variable meshing stiffness as the main source of torsional vibration excitation and dynamic loads, is described. Meshing stiffness function analysis for a pair of gears by means of the finite element method (FEM) makes it possible to assess the influence of tooth geometry parameters, including microgeometry, for example, profile modification. The developed dynamic model is used to develop recommendations for noise and vibration level reduction in spur gears, and for diagnostic feature of fatigue crack propagation in the tooth fillet. The dynamic model was validated in experimental studies on the test bench of CIAM withgear dynamic strain-gauging.
Study of Digital Discrete Fast High Order Bandpass Filter on TMS320F28377D Processor for Mobile Robot Navigation
Authors: Trefilov S.A. , Nikitin Yu.R. , Ponomarev D.A.
Published: December 2024

A digital discrete high-order fast bandpass filter on the TMS320F28377D processor for mobile robot navigation is developed and investigated. The application of the developed band-pass filter in beacon laser navigation systems is proposed in order to increase the speed of mobile robot coordinate computation when solving the fast convolution problem. A fast convolution algorithm based on a digital continuous band-pass Butterworth filter, which is optimal in terms of minimum computation time, is presented. The developed 22-order Butterworth filter is implemented on a digital signal processor TMS320F28377D using a double buffer with parallel recording and processing of data from ADC. The peculiarity of the bandpass filter implementation is its real-time operation for searching signals of navigation beacon lasers in a given frequency band. Two DMA direct memory access modules, CLA accelerator module of the TMS320F28377D processor are used to increase the speed of data processing. The correlation function calculated as a result of convolution of the original signal with the reference signal of a given frequency and filtered by a low-pass filter using the moving average method was obtained. The maximum of the calculated correlation function shows the time delay between the beginning of the beacon pulse transmission and the reception time at the photodiode. This delay time shows the azimuth to the beacon. Laser beacon system (LSM) for robot navigation has the following advantages compared to radio equipment: lower range measurement error, small size of optical systems compared to the size of radar antennas, and high angle resolution due to the narrow beam of sounding radiation. High noise immunity of LSM, including to deliberate interference, allows solving navigation tasks in conditions of suppression of global navigation systems (such as GPS and GLONASS), when the means of autonomous navigation cannot fully provide data to the robot control system. The convolution execution time on the TMS320F28377D processor is 1.8 ms.
Equation Development for Calculating Loads Acting under the Antenna Tubular Mast Supports of Cellular Communication Equipment
Authors: Novikov M.Yu. , Taranukha N.L.
Published: December 2024

A study presents the search for the relationship between the composition of the antenna equipment of the base cellular station, taking into account the height of its suspension and the load on the roof under the supports of the designed structures of antenna tubular masts mounted on buildingroofs. New telecommunications standards aimed at improving quality and speed of wireless communications and the Internet involve thickening the existing network and increasing the number of base cellular stations. In cities with high population density and dense buildings, antenna tubular masts on buildingroofs are designed to accommodate antenna equipment. The location selection for structure mounting is carried out in the course of surveys involving the mobile operator, the construction organization and the landlordcooperation. The design organization performs a verification calculation of the load capacitydue to the need of roofload-bearing building structure check for the possibility tomount tubular masts, in each specific case. In case of a negative conclusion, repeated surveys and approval of the newly selected position are required. The equation derived during the study is proposed, using the initial data contained in the design specification, visual inspection and design documentation for the building, allows determination of load magnitudes under the support of the designed structure and evaluation the possibility of tubular mast mounting before performing calculations by means of software complexes. To develop the equation to determine the relation between payload factors acting on antenna equipment and the roof loads of a building under a loaded tubular mast support, the method of correlation and regression analysis was used. The results of the study will improve the surveyefficiency, which will minimize the risks of inconsistencies and reduce the time spent on design.
Research and Development of Recommendations for Improving the Technology of Manufacturing and Preparing for Operation of Hard-Alloy Cutting Tools
Authors: Koryukhin V.L. , Shilyaev S.A. , Shchenyatsky A.V.
Published: December 2024

Analysis of existing technological methods of manufacturing and preparation for operation of carbide cutting tools showed that low performance of carbide tools is associated with failures due to the following reasons: destruction of the integrity of the cutting part of the tool; loss of shape of the cutting part of the tool, as well as physical and chemical wear of the contact pads of the cutting tool. It was found that the quality of soldering of brazed carbide plates is affected by a large number of factors, such as the grade of the holder body material; carbide plate material; solder and flux grade; inductor characteristics and power; distance between the inductor and the soldering zone; degree of wetting of the welded surfaces, etc. The work is devoted to the issues of improving the technology of manufacturing and preparation for operation of carbide cutting tools in order to increase its productivity, wear resistance, reliability and cost-effectiveness. The analysis of complaints about the identified non-compliance of the quality of the manufactured tool with soldered carbide plates is carried out, which shows non-compliance with the requirements of regulatory and technical documentation in terms of the soldered seam. The main reason for the destruction of cutters is a violation of the soldering technology - unsoldered. A review of works in the field of improving the performance characteristics of cutting tools with hard alloy plates is carried out, while issues related to the soldering processes and preparation of surfaces for soldering have not been fully resolved. To prevent the formation of soldering defects in tools with hard alloy plates, strict adherence to welding technology and reliable quality control in the production process are primarily necessary. The conducted studies allow us to formulate the main issues related to the development of an updated process instruction that takes into account the requirements of regulatory and technical documentation.
Innovative Security Framework for Enhancing Data Protection in Mobile Cloud Environments
Authors: P Mr. Suresh , Taank Kritika , Kumar Madaka Akshay , Patel Muskan
Published: December 2024

Abstract: There is especially a challenging problem for secure communications in the last few years among the resource-poor
environments like IoT devices and embedded systems which had driven the research to lightweight cryptography algorithms,
performing wonderfully on the constraints of computations, memory, as well as also energy resources. It involves the
implementation along with performance analysis of probably the most impressive lightweight block ciphers, such as SIMON,
SPECK, and HIGHT. It also encompasses ECC as a safe alternative substitute to the traditional ones that contain AES. SIMON
and SPECK are new-generation lightweight block ciphers developed by NSA for hardware efficiency so that performance is
maximized at low speeds with very high levels of security. Also included are the performance characteristics of HIGHT, which is
a specially designed block cipher for environments with very low resources. ECC is presented as the asymmetric encryption
algorithm that provides at least some level of security yet its key sizes are dramatically smaller than the counterparts making it
well applicable within these environments. In addition, an overall comparison in the aspect of the computational cost, usage of
the memory, and the security level among the algorithms is made
House Price Prediction
Authors: Bhange Prof. Anup , Patil Rajvaibhav , Khan MD Masoom , Pazare Prajwal , Patil Harsh
Published: December 2024

Abstract: House price prediction is a critical task in the real estate industry, involving the use of statistical and machine learning
techniques to estimate property values based on various features. This study aims to develop a predictive model that utilizes
historical data, including attributes such as location, size, number of rooms, property age, and market conditions. By leveraging
advanced algorithms like linear regression, decision trees, and neural networks, the model strives to provide accurate and
reliable price forecasts. The results of this prediction can benefit homeowners, buyers, real estate agents, and policymakers by
enabling data-driven decisions. This paper discusses the dataset, preprocessing techniques, feature selection, model
implementation, evaluation metrics, and challenges, offering insights into how predictive modeling can enhance transparency
and efficiency in the housing market.
Improvement of knowledge in NLP based on AI for students and teachers in the fashion department
Authors: Af'idah Dwi Intan , Handayani Sharfina Febbi , Hidayattullah Muhammad Fikri , Imamah Putri Ajeng
Published: December 2024

The fashion department at SMK Negeri 1 Warureja faces significant challenges in understanding and applying Artificial Intelligence (AI)-based Natural Language Processing (NLP) among its students and teachers. Despite the potential benefits of NLP technology for the fashion industry, the limited knowledge and skills concerning NLP tools at SMK Negeri 1 Warureja impede effective utilization. This Community Service Program (CSP) is strategically designed to address these gaps by providing targeted training on NLP tools such as ChatGPT, Chatbot, and Brand24.com within the fashion context. This CSP activity applies the technique of training an initial evaluation through a pre-test assessed participants' baseline understanding prior to the training. During the practical tutorial phase, participants received hands-on training with NLP tools, including practical guidance to ensure real-world application of these concepts. Evaluation results indicated a significant improvement in participants' understanding and skills. The post-test average of 80.47 points showed a significant improvement of 32.19 points over the pre-test average of 48.28 points.
Optimizing English learning in high schools with contemporary learning models using whiteboard animation
Authors: Agustina Sheila , Megawati Fika , Taufiq Wahyu , Setyowati Nafi’ah Aghni , Nurani Sevya Dwi Gita
Published: December 2024

Traditional approaches often fail to motivate students and cater to diverse learning styles, further compounded by the limited use of modern educational technologies. A community service program was implemented to address these issues, focusing on contemporary teaching models like the Happy Learning approach and the integration of whiteboard animation. This program explores the challenges high school English teachers face in Sidoarjo, Indonesia, concerning student engagement and effective teaching methods. Over one month, 47 high school English teachers participated in workshops and mentoring sessions designed to enhance their skills in these innovative methods. The results showed notable improvements in teachers' confidence and their ability to manage interactive classes. A significant majority found the contemporary models, including Happy Learning and whiteboard animation, to be effective, although some teachers still preferred traditional methods. Whiteboard animation was recognized for its role in clarifying content and engaging students, with many teachers successfully creating their media using various applications. Additionally, teachers preferred integrating game-based learning with whiteboard animation, indicating a shift towards more dynamic and student-centered teaching practices. This program underscores the effectiveness of combining modern teaching models with technology to improve educational outcomes and teacher effectiveness.
Exporting and strengthening moderate Islam at the Muhammadiyah Australia College (MAC)
Authors: Arifin Syamsul , Umiarso U.
Published: December 2024

The community service program aimed to promote moderate Islamic values within the academic community at Muhammadiyah Australia College (MAC). The program seeks to integrate these values into educational practices and establish MAC as an international agent of Indonesian moderate Islam. This initiative involves Focus Group Discussions (FGDs) and workshops, engaging stakeholders such as the Muhammadiyah Special Branch Leadership (PCIM) in Melbourne, MAC’s management and teaching staff, and the Muhammadiyah Central Leadership. The Universitas Muhammadiyah Malang (UMM) service team leads the activities with support from the Indonesian Ministry of Religion. Through collaborative efforts, this program works to identify community-driven solutions and develop a structured, community-based approach for strengthening moderate Islam in education. By leveraging the Indonesian Muslim diaspora's role, the program fosters inclusivity and social cohesion. This initiative reflects Muhammadiyah’s tradition of inclusiveness, creating synergy between institutions to enhance the resilience and reach of moderate Islam in diverse cultural and educational settings globally.
Strengthening teachers' skills in using an enrichment biology e-module based on flipbook integrated with Qur'anic and Sunnah values
Authors: Robiah Siti , Tambak Syahraini , Siregar Juliarni , Hafizah Jhannah , Swastika Amelia
Published: December 2024

Biology teachers at MAN 2 Model Pekanbaru still rely on conventional learning resources that do not fully meet the needs of an Islamic-based curriculum. This limitation has an impact on students' ability to internalize Biology concepts within a holistic Islamic framework. Therefore, workshops and interventions are needed through the provision of flipbook-based Biology e-modules integrated with the values ​​of the Qur'an and As-Sunnah to improve the quality of learning and student understanding. This community service aims to improve the capacity of biology teachers' skills at MAN 2 Model Pekanbaru by using flipbook-based biology enrichment e-modules integrated with the values ​​of the Qur'an and As-Sunnah. The partner profile shows that most teachers at MAN 2 Model Pekanbaru have good pedagogical competence, but need to increase their capacity in utilizing digital technology-based learning resources integrated with Islamic values. This condition requires intensive training and mentoring programs for teachers so that they are able to optimize the use of flipbook-based e-modules that are in accordance with the needs of the curriculum and Islamic values. The results of the workshop showed that biology teachers at MAN 2 Model Pekanbaru were in the category of having quite good skills in using e-modules in learning, but they needed to get used to it so that they could become more skilled.