bluuebunny/crossref_metadata_2025 huggingface dataset:
Emerging AXL Inhibitors in Oncology: Chemical and Biological Advances in Targeted Cancer Therapy
Authors: Shah Kamal , Gopal Krishan , Kumar Shivendra , Saha Sunam
Published: December 2024

AXL, a receptor tyrosine kinase, has emerged as a critical player in tumorigenesis, metastasis, and
resistance to conventional therapies. Its aberrant activation drives cell proliferation, survival, and angiogenesis,
making it an attractive target for cancer treatment. In recent years, significant progress has been made in the development
of AXL inhibitors. Chemical approaches have led to the discovery of small molecules that selectively
bind to and inhibit AXL, disrupting its downstream signaling pathways. These inhibitors exhibit diverse structural
features, including ATP-competitive and allosteric binding modes, offering potential advantages in terms of selectivity
and potency. In addition to chemical approaches, biological strategies have also been explored to target
AXL. These include the use of monoclonal antibodies, which can neutralize AXL ligands or induce receptor
internalization and degradation. Furthermore, gene therapy techniques have been investigated to downregulate
AXL expression or disrupt its signaling pathways. Despite these advancements, challenges remain in the development
of AXL inhibitors. Selectivity is a critical concern, as AXL shares homology with other receptor tyrosine
kinases. Drug resistance is another obstacle, as cancer cells can develop mechanisms to evade AXL inhibition.
Furthermore, to address these challenges, combination therapies are being explored, such as combining AXL
inhibitors with other targeted agents or conventional treatments. In conclusion, developing AXL inhibitors represents
a promising avenue for improving cancer treatment outcomes. Continued research efforts are essential to
overcome the existing challenges and translate these compounds into effective clinical therapies.
Influence of Brand Image on Brand Loyalty Using Brand Trust and Social Media Engagement
Authors:   Department of Management, Faculty of Economics, Universitas Sulawesi Barat, Indonesia, Mandasari Nur Fitriayu , Ashdaq Muhammad ,   Department of Digital Business, Faculty of Business and Economics, Universitas Negeri Makassar, Indonesia, Radjab Enny ,   Ujung Pandang State Polytechnic, Indonesia, Nadir Muhammad ,   Universitas Al Asyariah Mandar, Indonesia, Mulatsih Listiana Sri ,   Universitas Bung Hatta, Indonesia
Published: December 2024

Several variables influencing student loyalty formation include brand image, trust, and social media engagement. This research aims to understand brand loyalty within private universities in West Sulawesi Province, Indonesia. The study focuses on the influence of brand image and investigates the mediating roles of brand trust and social media engagement in shaping brand loyalty among students and alumni. The sample size of 148 respondents, including active students and non-graduating alums from public universities, was chosen to capture a diverse perspective on brand loyalty in higher education. The research method employed was Structural Equation Modeling (SEM), and the data was gathered from official social media accounts managed by four regional private universities. The aim was to provide a rigorous and comprehensive analysis. The results of this study indicate that the brand image of private tertiary institutions has a positive effect on brand trust, the brand image does not affect loyalty, brand image has a positive impact on social media engagement, brand trust has no effect on brand loyalty, social media engagement has no impact on brand loyalty, and there is no direct relationship between brand image loyalty through the variable brand trust and social media engagement and social media engagement. Brand image, trust, and social media engagement do not affect student loyalty. The company's managers strive through social media to provide information that consumers need anytime and anywhere, in addition to providing services related to advice and physical services offered on bicycle products through particular messages on social media.
Management Behavior: The Role of Financial Literacy and Financial Knowledge of MSME Actors
Authors:   Faculty of Economics, Universitas Negeri Gorontalo, Indonesia, Selvi Selvi , Pakaya Abd. Rahman ,   Faculty of Economics, Universitas Negeri Gorontalo, Indonesia, Nahar Faiza Husnayeni ,   Economic Departement, Universidad de Granada, Spain
Published: December 2024

The significance of Micro, Small, and Medium Enterprises (MSMEs) is pronounced globally and plays a crucial part in a nation's economic development. The advancement of MSMEs in Gorontalo Province has consistently progressed, with significant growth observed between 2016 and 2020 in quantity, employment absorption, investment value, and output value. The advancement of MSMEs in Gorontalo City indicates the emergence of effective financial management practices, warranting an examination of the elements that affect the financial management behavior of MSME operators. This study seeks to utilize Planned Behaviour Theory to clarify the impact of financial literacy and financial knowledge on improving financial management behavior. A quantitative approach was utilized with a sample size of 100 proprietors in Gorontalo City. Multiple regression analysis revealed that financial literacy and knowledge significantly affect the financial management behavior of MSME operators in Gorontalo City. In Gorontalo City, the financial management practices of MSME entrepreneurs are influenced by their financial literacy and awareness. Utilizing the Theory of Planned Behaviour framework, this study examines attitudes toward behavior, evaluates subjective norms, and assesses behavioral control in the financial management of MSMEs, highlighting the influence of literacy and knowledge among MSME owners in Gorontalo City, all encapsulated within a singular model. The results of this investigation suggest that the evolution of Planned Behavior Theory is influenced by various internal and external factors that determine individual behavior. MSME members with financial acumen strengthen financial management practices, while those skilled in bookkeeping, budgeting, risk assessment, and savings further improve financial management behavior.
El reto de la e-evaluación en Moodle: Situación actual en las universidades madrileñas
Authors: García-Barrera Alba , Lucas-Barcia Elisa , Martínez-Álvarez Isabel , Alonso-de-Mena Elena
Published: December 2024

La pandemia provocada por la COVID-19 ha acelerado la digitalización de la educación, revelando varias deficiencias en el proceso. Una de las principales preocupaciones es la falta de preparación de muchos docentes para desarrollar una evaluación educativa de calidad en entornos online, lo cual es fundamental para mejorar el aprendizaje del estudiante. Por ello, este trabajo pretende explorar la importancia que el profesorado de las universidades madrileñas otorga a la evaluación educativa, y su conocimiento y práctica evaluativa. Se realizó un estudio mixto de corte descriptivo transversal (n = 139) mediante un cuestionario online elaborado ad hoc (α = .70). Los datos cuantitativos se analizaron mediante técnicas de estadística descriptiva e inferencial; para los de corte cualitativo se establecieron tres categorías: uso, características y estudiantes. Los hallazgos del estudio indican que la mayor parte del profesorado considera que los docentes universitarios poseen escasa formación sobre evaluación educativa (79.1%), por lo que se requiere una instrucción específica (93.6%) que incida en cómo realizar una evaluación adecuada en entornos online (89.2%). Esto coincide con investigaciones previas que resaltan la falta de formación como una de las principales dificultades que enfrenta el profesorado, resultando vital su actualización y formación continua para garantizar una educación superior de calidad.
Methodology for selecting energy-efficient thermal insulation materials using the Dynamo visual programming environment
Authors: Chakin E. Y. , Gamayunova O. S.
Published: December 2024

Purpose of research: development of a methodology for selecting energy-efficient thermal insulation materials using the Dynamo visual programming environment in order to increase the energy efficiency of building envelopes and structures.

Methods. The study was carried out using theoretical and practical methods. The theoretical study was carried out based on an analysis of scientific publications, as well as regulatory requirements in the field of energy efficiency. The practical study was carried out using the implementation of the methodology for selecting thermal insulation materials in the Revit software package using the Dynamo visual programming environment.

Results. The capabilities of the visual programming environment Dynamo have been studied, allowing to automate the modeling and development of design documentation in the Revit software package, automate the process of reinforcing structures, designing utility networks and systems, creating automated quality control systems for BIM models, etc. Particular attention in the work is paid to the capabilities of Dynamo for automation performing thermal engineering calculations and selecting energy-efficient thermal insulation materials. A library of thermal insulation materials has been created, which can be supplemented and copied from one project to another using standard Revit functionality. Two Dynamo scripts have been created. The result of the work of the first is the complete automation of thermal engineering calculations in Revit, the result of the work of the second is the selection of thermal insulation material taking into account the requirements for thermal protection of buildings. A methodology has been developed for selecting energy-efficient thermal insulation materials using the Dynamo visual programming environment. The reliability of calculations obtained on the basis of developed scripts is confirmed by the results of manual calculations.

Conclusion. The use of modern BIM technologies when choosing energy-efficient thermal insulation materials allows you to optimize the calculation process, and also makes it possible to find the most cost-effective solutions to reduce costs and increases design speed.
Projeto Rede Cooperativa De Ensino, Pesquisa e Extensão em Escolas de Educação Básica (RECEPE)
Authors: Souza Tiago Zanquêta de , Novais Gercina Santana
Published: December 2024

Este trabalho tem por tema os processos educativos, formativos e saberes de docentes, decorrentes da formação continuada durante a pandemia de Covid-19. Esses/as docentes são vinculados à Rede Cooperativa de Ensino, Pesquisa e Extensão em Escolas de Educação Básica. A pesquisa está ancorada nos pressupostos teórico-metodológicos da Educação Popular. Tem por objetivo apresentar os resultados das análises dos processos educativos e formativos dos/as referidos/as professores/as, que decorreram de sua formação continuada na transpandemia de Covid-19, destacando indícios da expressão da resistência propositiva popular. A metodologia é a investigação-formação-solidária, de abordagem qualitativa, valendo-se da pesquisa de campo, cujos instrumentos para a coleta de dados foram os questionários considerando-se o eixo “memorial formativo e autobiográfico”. As categorias estabelecidas e analisadas foram: 1. A resistência propositiva popular: processos educativos e formativos de professores/as na formação continuada; 2. Que formação continuada? Processos educativos e formativos na transpandemia da Covid-19. Os resultados apontam o deslocamento da relação pedagógica entre professor/a e aluno/a, bem como a virtualização dessa relação na transpandemia de Covid-19, de modo a produzir uma educação para que alunos/as pudessem “passar de ano”. No entanto, reconhece-se a presença da resistência propositiva popular dos/as professores/as, na medida em que se colocaram disponíveis para a realização de um processo de ensinar e aprender que não destruísse completamente a relação entre os /as profissionais da escola e seus estudantes e, ainda, reduzir sentimentos de solidão manifestos por docentes e discentes.
Codeveloping an Online Resource for People Bereaved by Suicide: Mixed Methods User-Centered Study
Authors: Leaune Edouard , Bislimi Kushtrim , Lau-Taï Pauline , Rouzé Héloïse , Chalancon Benoit , Lestienne Laurène , Grandgenevre Pierre , Morgiève Margot , Laplace Nathalie , Vaiva Guillaume , Haesebaert Julie , Poulet Emmanuel
Published: December 2024

Background

Although suicide bereavement is highly distressing and is associated with an increased risk of suicidal behaviors and mental and physical health impairments, those bereaved by suicide encounter difficulties accessing support. Digital resources offer new forms of support for bereaved people. However, digital resources dedicated to those bereaved by suicide are still limited.

Objective

This paper aimed to develop and implement an evidence-based, innovative, and adaptive online resource for people bereaved by suicide, based on their needs and expectations.

Methods

We performed a mixed methods, participatory, user-centered study seeking to build resources from the perspectives of people bereaved by suicide and professionals or volunteers working in the field of postvention. We used the Information System Research framework, which uses a three-stage research cycle, including (1) the relevance cycle, (2) the design cycle, and (3) the rigor cycle, and the Design Science Research framework.

Results

A total of 478 people participated in the study, including 451 people bereaved by suicide, 8 members of charities, and 19 mental health professionals working in the field of postvention. The development stage of the resource lasted 18 months, from October 2021 to March 2023. A total of 9 focus groups, 1 online survey, 30 usability tests, and 30 semistructured interviews were performed. A website for people bereaved by suicide named “espoir-suicide” was developed that includes (1) evidence-based information on suicide prevention and bereavement, (2) testimonies of people bereaved by suicide, (3) a delayed chat to ask questions on suicide and bereavement to a specialized team of mental health professionals, and (4) an interactive nationwide resource directory. The mean system usability score was 90.3 out of 100 for 30 participants, with 93% (n=28) of them having a rating above 80. Since the implementation of espoir-suicide in March 2023, a total of 19,400 connections have been recorded, 117 local resources have been registered nationwide, and 73 questions have been posted in the chat.

Conclusions

The use of a mixed methods, participatory, user-centered design allowed us to implement an evidence-based, innovative, and functional website for people bereaved by suicide that was highly relevant for fulfilling the needs and expectations of French people bereaved by suicide.

International Registered Report Identifier (IRRID)

RR2-10.3389/fpsyt.2021.770154
Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms
Authors: Jiang Yiqun , Li Qing , Huang Yu-Li , Zhang Wenli
Published: December 2024

Background

In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care. For example, an echocardiogram is a type of laboratory test that is extremely important and not easily accessible. The increasing demand for echocardiograms underscores the imperative for more efficient scheduling protocols. Despite this pressing need, limited research has been conducted in this area.

Objective

The study aims to develop an interpretable machine learning model for determining the urgency of patients requiring echocardiograms, thereby aiding in the prioritization of scheduling procedures. Furthermore, this study aims to glean insights into the pivotal attributes influencing the prioritization of echocardiogram appointments, leveraging the high interpretability of the machine learning model.

Methods

Empirical and predictive analyses have been conducted to assess the urgency of patients based on a large real-world echocardiogram appointment dataset (ie, 34,293 appointments) sourced from electronic health records encompassing administrative information, referral diagnosis, and underlying patient conditions. We used a state-of-the-art interpretable machine learning algorithm, the optimal sparse decision tree (OSDT), renowned for its high accuracy and interpretability, to investigate the attributes pertinent to echocardiogram appointments.

Results

The method demonstrated satisfactory performance (F1-score=36.18% with an improvement of 1.7% and F2-score=28.18% with an improvement of 0.79% by the best-performing baseline model) in comparison to the best-performing baseline model. Moreover, due to its high interpretability, the results provide valuable medical insights regarding the identification of urgent patients for tests through the extraction of decision rules from the OSDT model.

Conclusions

The method demonstrated state-of-the-art predictive performance, affirming its effectiveness. Furthermore, we validate the decision rules derived from the OSDT model by comparing them with established medical knowledge. These interpretable results (eg, attribute importance and decision rules from the OSDT model) underscore the potential of our approach in prioritizing patient urgency for echocardiogram appointments and can be extended to prioritize other laboratory test appointments using electronic health record data.
Quality Assessment of Medical Institutions’ Websites Regarding Prescription Drug Misuse of Glucagon-Like Peptide-1 Receptor Agonists by Off-Label Use for Weight Loss: Website Evaluation Study
Authors: Oyama Rie , Okuhara Tsuyoshi , Furukawa Emi , Okada Hiroko , Kiuchi Takahiro
Published: December 2024

Background

Misuse of glucagon-like peptide-1 receptor agonists (GLP-1RAs) has emerged globally as individuals increasingly use these drugs for weight loss because of unrealistic and attractive body images advertised and shared on the internet.

Objective

This study assesses the quality of information and compliance with Japan’s medical advertising guidelines on the websites of medical institutions that prescribe GLP-1RAs off-label for weight loss.

Methods

Websites were identified by searching Google and Yahoo! by using keywords related to GLP-1RAs and weight loss in August 2024. The quality of information on these websites was assessed using the DISCERN instrument. To comply with Japan’s medical advertising guidelines, we evaluated whether the 5 mandatory items for advertisements of self-paid medical treatments involving the off-label use of drugs were stated and whether there were any exaggerated claims. The content of the exaggerated advertisements was categorized into themes.

Results

Of the 87 websites included, only 1 website stated all 5 mandatory items. Websites listing “ineligible for the relief system for sufferers from adverse drug reactions” had the lowest percentage at 9% (8/87), while 83% (72/87) of the websites listed exaggerated advertisements. Approximately 69% (60/87) of the websites suggested that no exercise or dietary therapy was required, 24% (21/87) suggested that using GLP-1RAs is a natural and healthy method, and 31% (27/87) of the websites provided the author’s personal opinions on the risks of using GLP-1RAs. The mean total DISCERN score for all 87 websites was 32.6 (SD 5.5), indicating low quality. Only 1 website achieved a good rating, and 9 websites were rated as fair. The majority of the websites were rated as poor (72 websites) or very poor (5 websites).

Conclusions

We found that the quality of information provided by the websites of medical institutions prescribing GLP-1RAs off-label for weight loss was very low and that many websites violated Japan’s medical advertising guidelines. The prevalence of exaggerated advertisements, which may lead consumers to believe that they can lose weight without dietary or exercise therapy, suggests the risk of GLP-1RA misuse among consumers. Public institutions and health care providers should monitor and regulate advertisements that violate guidelines and provide accurate information regarding GLP-1RAs, obesity, and weight loss.
A Systematic Review and Meta-Analysis Protocol for Machine Learning Algorithms for Prediabetes Risk Calculation (Preprint)
Authors: Jeem Yaltafit , Nabila Refa , Emelia Dwi Ditha , Lazuardi Lutfan , Kusnanto Hari
Published: December 2024

BACKGROUND

Identifying and delivering interventions to patients with prediabetes was one strategy for dealing with the rising prevalence of T2DM. Risk assessment tools help in disease detection by allowing screening of the high risk group. Machine learning was also used to support in the detection and diagnosis of prediabetes.

OBJECTIVE

The purpose of this review is to assess the diagnostic test accuracy of various machine learning algorithms for calculating prediabetes risk.

METHODS

This protocol was written in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis of Protocols (PRISMA-P) statement. The databases that will be used include PubMed, ProQuest, and EBSCO, with access limited to January 1999 and September 2022 in English only. Two reviewers will identify articles independently by reading the titles, abstracts, and full-text articles. Any disagreement will be resolved through consensus. To assess the quality and potential for bias, the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool will be used. Data extraction and content analysis will be carried out in a systematic manner. A forest plot with 95% confidence intervals will be used to visualize quantitative data. The summary receiver operating characteristic curve will describe the diagnostic test outcome. The Review Manager 5.3 (Rev Man 5.3) software package will be used to analyze the data.

RESULTS

Using the proposed systematic review and meta-analysis, we will determine the diagnostic accuracy of various machine learning algorithms for estimating prediabetes risk.

CONCLUSIONS

Machine learning classification is a form of artificial intelligence (AI) that allows computers to learn without being specifically programmed. It has been used to develop a scoring method for prediabetes identification and diagnosis. As far as we know, there is no systematic review and meta-analysis regarding machine learning utilization for prediabetes risk estimation. Therefore, we proposed this study to obtain the diagnostic accuracy of machine learning algorithms in estimating prediabetes risk.

CLINICALTRIAL

This protocol has been registered in the Prospective Registry of Systematic Review (PROSPERO) database. The registration number is CRD42021251242.
Quo vadis, "AI-empowered Doctor"? (Preprint)
Authors: Takahashi Gary , von Liechti Laurentius , Tarshizi Ebrahim
Published: December 2024

UNSTRUCTURED

Artificial intelligence (AI) has already been integrated into the healthcare field, much of which is in the realm of diagnostic imaging, with sensor technology and the Internet of Medical Things playing an increasing role. Software capitalizing on advances with Large Language Models (LLMs) has been introduced to replace or assist traditional physician roles, such as taking the medical history and documentation in the medical record. While such well-meaning efforts to improve workflow efficiency may, in the short term reduce physician burnout, the increasing expectations of physician productivity may have a negative impact in the long term, especially as healthcare systems face provider shortages and pressures to maximize profit.
There is undeniable allure to incorporate using LLMs in clinical diagnostic support. Physicians must understand the limitations of these models, as well as the legal implications associated with their use, especially when there is discordance between the clinical judgment of the human physician and the AI model.
Efforts are needed to empower physician decision support by using AI to enable more meaningful and effective access to existing medical knowledge. Those who control access to the repositories of research and clinical content are encouraged to revamp access to this information, such as by providing a turnkey chat-style user interface to their proprietary content. Furthermore, we encourage medical teaching institutions to include in the curriculum, the fundamental concepts of applied artificial intelligence.
DEVELOPING POST-PANDEMIC LIVABLE AND SUSTAINABLE CITIES: PROVIDING SPACE FOR URBAN ACTIVITIES IN BANDUNG
Authors: Iman Hanafi Kholifatul , Tsana Shafwatus , Febriani Nurindah , Prilandita Niken , Fatmadewi Rose
Published: December 2024

Providing space for urban activities and preserving the environment are contradictory issues in urban development, including Bandung City, which COVID-19 exacerbates. With limited carrying capacity, the impact of COVID-19, and high levels of urban activity, there are issues regarding the impact of urban activity on the quality of the post-pandemic urban environment. Therefore, it is necessary to research the limitation of Bandung City's carrying capacity to accommodate post-pandemic urban activities. This research aims to formulate a post-pandemic development concept and framework for Bandung City based on the environment's ability to accommodate urban activities. The approach and analytical method used in this research is descriptive-qualitative analysis, which can explore and focus on deepening the literature used as a basis for drafting the concept. In general, this research results in the concept of a livable and sustainable post-pandemic development, including formulating indicators for Bandung that reflect what Bandung City needs to develop after the pandemic. This research is quite important because it can see the characteristics of Bandung City and formulate its development by the conditions of Bandung City so that the government or planner can use these results as evaluation material or suggestions for the Bandung City and West Java Provincial Government in monitoring and evaluating the implementation of strategies, policies, and programs inappropriate development with environmental capacity in the Bandung Basin Urban Area and North Bandung Area.
EDITORIAL
Authors: Siswomihardjo Widowati
Published: December 2024

Greetings to the Readers of Jurnal Teknosains!We are delighted to present the latest edition of Jurnal Teknosains, Volume 14, Number 1, December 2024. This issue highlights groundbreaking contributions in the realms of technology and science, reflecting our dedication to fostering interdisciplinary insights into the challenges and opportunities of our rapidly evolving world. One of the central themes in this edition is the intricate interaction between humans and their environment. Notably, the study on visualizing streamflow recession curves demonstrates how mathematical modeling serves as a critical tool in water resource management. Employing multimodel approaches for baseflow recession analysis, this research underscores the importance of accurate data in understanding aquifer characteristics and water storage capacities on both local and global scales. In the domain of healthcare technology, innovation in enhancing the biocompatibility of acrylic materials with natural fibers takes center stage. The incorporation of bio-based fibers, such as banana fronds, offers a sustainable and biologically safer alternative while significantly improving material performance. This promising development addresses future demands for environmentally friendly and safe materials.
Green Synthesis and DFT study of Nickel Zinc Ferrite Nanoparticles: A Highly Sensitive Room Temperature VOC Sensing Material
Authors: Mukherjee Chandra , Choudhury Subhankar , Baildya Nabajyoti , Ghosh Narendra Nath , Misra Debabrata , Das J.
Published: December 2024

In present communication, nanocrystalline nickel zinc ferrite (NZF) has been prepared by spin controlled coprecipitation method in varied proportions to study the alcohol (primary alcohols viz. ethanol, propanol and butanol) sensing behaviour at room temperature. Nanocrystalline nickel zinc ferrite (NZF) Ni1-xZnxFe2O4 (where x = 0.3, 0.5 and 0.7) are subjected to the structural and surface morphological characterizations, porosity and surface activity through Powder X-ray Diffraction (PXRD) and Field Emission Scanning Electron Microscopy (FESEM). The variations in electrical resistance of Ni0.7Zn0.3Fe2O4 (NZF1), Ni0.5Zn0.5Fe2O4 (NZF2) and Ni0.3Zn0.7Fe2O4 (NZF3) are measured with the exposure of 500 ppm ethanol, propanol and butanol vapours as a time function at room temperature. 89% sensitivity is detected by NFZ1 for 500 ppm of ethanol vapour. The sensing response followed the order of ethanol > propanol > butanol for all the three samples. The increasing trend of VOC (volatile organic substance) sensing properties by NZFs has been verified through extensive DFT (density functional theory) analysis by adopting PAW (projector augmented wave) technique. DFT calculation supports the pulling effect of Ni atoms in NZF nanoparticles which consequently increases the sensing properties of the NZFs. ELF (Electron localization function) study also supports the accelerated adsorption capacity of nickel doped nanoferrites.
BLITZSensor. АТЕЛЬЕ ИНЕРЦИАЛЬНЫХ ДАТЧИКОВ: ОТ ВЫСОКОТОЧНЫХ СИСТЕМ ДО ЭЛЕКТРОСАМОКАТОВ
Authors: Бекмачев А.
Published: December 2024

Датчики, выпускаемые под брендом BLITZSensor, широко применяются
в проектах разного класса и бюджета. Основу продуктового каталога
BLITZSensor составляют высокоточные сенсоры и системы навигации
и управления, построенные на базе различных чувствительных элементов,
технологий измерения и обработки информации. Это позволяет охватить
все классы конечного оборудования: от малобюджетных до дорогостоящих
систем. В статье представлен обзор технических решений и продуктов
BLITZSensor, которые делают доступными высокоточные системы измерения
параметров движения даже при реализации малобюджетных задач.
OLED-ТЕХНОЛОГИИ В МЕДИЦИНСКОМ ОБОРУДОВАНИИ
Authors: Павленко А.
Published: December 2024

OLED-дисплеи обеспечивают множество преимуществ для медицинского
оборудования, что делает их идеальным выбором для новых разработок
в этой области. Исключительное качество отображения информации,
энергоэффективность, малый вес и тонкая конструкция этих устройств
открывают широкие возможности для диагностики, лечения
и мониторинга пациентов. В статье рассмотрены разновидности
OLED-дисплеев, их преимущества и типы медицинского оборудования,
в которых они применяются.
ОБЗОР ОТЕЧЕСТВЕННЫХ ИННОВАЦИОННЫХ МЕТОДОВ ПРОИЗВОДСТВА ПРИБОРОВ ДЛЯ КОНТРОЛЯ ДЕФЕКТОВ ФОРМЫ И ПРОФИЛЯ
Authors: Епифанцев К.
Published: December 2024

В статье рассматриваются современные методы измерения дефектов
формы и поверхностей деталей с помощью контактных и бесконтактных
измерительных систем. Описываются принципы работы контрольно-
измерительных приборов (кругломеров, профилометров, контурографов),
использующих твердосплавные щупы для анализа контура и дефектов
обработки поверхностей. Проведен сравнительный анализ кругломеров
различных производителей и обоснована актуальность применения
отечественных измерительных систем.
ДЕМОНСТРАЦИОННЫЕ ИСПЫТАНИЯ ТЕХНОЛОГИЧЕСКОГО ОБОРУДОВАНИЯ И МАТЕРИАЛОВ ДЛЯ ОТМЫВКИ ПЕЧАТНЫХ ПЛАТ
Authors: Иванов А.
Published: December 2024

На производственно-демонстрационной площадке ГК «Диполь» проведены
одновременно испытания двух разработок компании (рис. 1): установки
струйной отмывки печатных плат СМ-16 ПРО и отмывочной жидкости
«АкваКлин-М», являющейся аналогом зарубежных вариантов. Испытания
прошли в присутствии представителей компании-заказчика. В статье
рассмотрены результаты проведенных испытаний.
ПРИМЕНЕНИЕ ОТЕЧЕСТВЕННОГО ГЛИНОЗЕМА ГЛУБОКОЙ ПРОКАЛКИ ДЛЯ ПРОИЗВОДСТВА МЕТАЛЛОКЕРАМИЧЕСКИХ КОРПУСОВ
Authors: Егошин В. , Шугаепов Ш. , Ахметгалиев Р. , Ермолаев Е. , Мазуренко А. , Чернышева Ю.
Published: December 2024

Акционерное общество «Завод полупроводниковых приборов» (АО «ЗПП»)
производит металлокерамические корпуса (МКК) различных типов для
интегральных схем (ИС). В настоящей статье рассмотрены проблемы
локализации производства металлокерамических корпусов в АО «ЗПП»
на примере применения отечественного глинозема глубокой прокалки.
Приведены методы исследований такого глинозема, а также опыт его
использования для производства МКК.
АВТОМАТИЧЕСКАЯ ПОДСТРОЙКА ЧАСТОТЫ ПРИ ИЗМЕРЕНИИ S-ПАРАМЕТРОВ КОНВЕРТОРОВ С ПОМОЩЬЮ ВЕКТОРНЫХ АНАЛИЗАТОРОВ ЦЕПЕЙ ПРОИЗВОДСТВА АО «НПФ «МИКРАН»
Authors: Димаки А. , Кравченко О. , Кун Г.
Published: December 2024

Описан алгоритм автоматической подстройки частоты
при измерении S-параметров конверторов со встроенным
гетеродином. Данный алгоритм реализован в программном
обеспечении верхнего уровня векторных анализаторов цепей
производства АО «НПФ «Микран». Показаны особенности работы
алгоритма в различных схемах измерения, в том числе с управляемым
внешним генератором частоты для формирования сигнала гетеродина
опорного смесителя. Использование данного алгоритма расширяет
область применения ВАЦ производства АО «НПФ «Микран»,
в том числе в разработке и эксплуатации систем
спутниковой связи.
Medicine Recommendation System Using ML
Authors: Bodele Prof. Harna , Tagde Manju , Rangari Samiksha , Jadhao Yash , Bawankar Vishakha , Kumre Tushar
Published: December 2024

Abstract: The growing demand for personalized healthcare solutions has led to the development of intelligent systems that assist
in medical decision-making. This project focuses on creating a Medicine Recommendation System that utilizes machine learning
techniques to recommend suitable medicines based on user inputs such as symptoms or medical conditions. The system leverages
a well-structured medical dataset to train a machine learning model capable of accurately predicting medicine
recommendations.By analyzing user-provided symptoms, the system identifies potential diagnoses and suggests relevant
medicines, ensuring improved healthcare accessibility and support. The frontend of the system is designed to be interactive and
user-friendly, utilizing HTML, CSS, and jQuery, while the backend integrates a robust Python-based framework, such as Flask
or Django, to process user inputs and interact with the machine learning model.The implementation incorporates essential
features like data preprocessing, symptom encoding, and model optimization to enhance the accuracy of predictions.
Additionally, the system includes a feedback mechanism for continuous improvement and warns users about potential medicine
interactions to ensure safety.This project has the potential to revolutionize patient care by offering real-time, data-driven
medicine recommendations, thereby empowering users to make informed healthcare decisions. Future developments may
include advanced personalization based on patient history and natural language processing to understand user inputs more
effectively.
The Optimal Ratio of the Temperature Differences for Heat Transfer in Evaporator and Condenser
Authors: You Ying
Published: December 2024

In the design of a refrigeration / heat pump system, the selections of the temperature differences for heat transfer (i.e.,
in the evaporator it is the temperature difference between the low temperature heat source and the refrigerant, and in the
condenser, between the refrigerant and the high temperature heat source) are based on some kind of “rule of thumb”. To be
more scientifically in the design, this paper presents the optimal ratio of the temperature differences for heat transfer in the
evaporator and in the condenser, from the second law (the entropy or the exergy) analysis. That is the optimal ratio is the ratio of
the temperatures of the high-temperature heat source (heat sink) and the low-temperature heat source (heat source). This
finding is called “You’s Principle”.
LEGAL CERTAINTY OF NOTARY POSITION REGARDING AUTHORITY TO CERTIFY ELECTRONIC TRANSACTIONS
Authors: Dharma Ida Bagus Wirya , Yadnya Putu Andhika Kusuma , Antara I Wayan , Surya I Kadek Adi
Published: December 2024

Article 15 paragraph (3) UUJN states that Notaries have other regulated authorities apart from those contained in Articles (1) and (2) which are regulated in statutory regulations. In the Elucidation to Law Number 2 of 2014 concerning Amendments to Law Number 30 of 2004 concerning the Position of Notary Public, it is stated "What is meant by other authority regulated in statutory regulations", among other things, the authority to certify transactions carried out electronically (cyber). notary), making deeds of waqf pledges, and airplane mortgages. The author found that there is a vagueness of norms (vague van normen). This condition of norms, which is called vagueness of norms, occurs because statutory regulations are available but the formulation of the words or sentences is not clear, giving rise to multiple interpretations. The research method used is normative legal research using primary legal material sources and secondary legal material sources. Legal materials obtained from library materials are analyzed qualitatively using the deductive method of analysis. The research results obtained are that the legal position of electronic transaction certification is a function of electronic legalization of private deeds. Certification of transactions carried out electronically only refers to private deeds that are legalized by a Notary, therefore certification of electronic transactions will still be recognized in law, but the legal force in court is weakened because it is limited to private deeds only.
jardim da Faculdade de Saúde Pública da Universidade de São Paulo
Authors: Porto Carla Lisboa
Published: December 2024

A partir de entrevistas realizadas nas dependências da Faculdade de Saúde Pública, (FSP/USP), surgiram questionamentos sobre o seu papel sócio-histórico no contexto da história da hanseníase. Nele, o jardim da instituição é visto como lugar de memória, uma vez que os entrevistados apresentaram narrativas diversas daquelas produzidas pelo discurso oficial, trazendo à tona, memórias submersas sobre a instituição em questão.
Luís Pereira Barreto
Authors: Arantes Correa Rubens
Published: December 2024

O artigo tem por objetivo abordar a trajetória e atuação de Luís Pereira Barreto (1840-1923), intelectual fluminense que construiu toda sua carreira em São Paulo entre a segunda metade do século XIX e as primeiras décadas do século XX. Membro de família de cafeicultores, Pereira Barreto estudou ciências naturais e medicina na Europa, formação que o aproximou do positivismo, que ele passou a divulgar em artigos na imprensa, o que bem demonstra seu objetivo de construir um projeto civilizatório para o Brasil, baseado nos princípios daquela doutrina.
Realidades contrastantes
Authors: Ferreira Fernandes Claudia , Carneiro de Medeiros Cassandra , Medeiros Paulino de Carvalho Sergio , Estevão do Nascimento Decio
Published: December 2024

Este estudo analisa a implementação das IGs no guaraná de Maués. Aborda a IP para produtores familiares e a DO para a Terra Indígena Andirá-Marau. Utilizou-se pesquisa bibliográfica sobre IGs do guaraná, incluindo fontes acadêmicas e documentos do INPI. Os resultados mostram que as IGs valorizam o guaraná na região amazônica, mas enfrentam desafios como falta de capital social e necessidade de maior conscientização do consumidor. A coexistência de duas IGs na mesma região levanta questões sobre sua interação no mercado e o impacto no desenvolvimento regional.
Da comercialização de aparelhos às primeiras transmissões televisivas em Dourados (1967-1970)
Authors: Sotana Edvaldo
Published: December 2024

Neste artigo se discutem as primeiras transmissões televisivas para a cidade de Dourados, à época localizada no sul do estado de Mato Grosso. Discorre-se, especificamente, sobre a comercialização de aparelhos, a instalação de equipamentos e a transmissão dos jogos da Copa do Mundo de Futebol, realizada no México em 1970. Para tanto, a imprensa periódica foi selecionada como fonte de pesquisa. Com o texto, espera-se contribuir com os estudos ocupados com a história da televisão no período da ditadura militar no Brasil.
Entre dois paradigmas e a força polarizadora da economia do ouro
Authors: Godoy Marcelo , Barbosa Lidiany
Published: December 2024

O artigo compreende dois planos de análise superpostos. O plano geral abrange os transportes na Colônia, o plano particular refere-se aos transportes em Minas Gerais. Transita-se de produção historiográfica que contribuiu para o enquadramento geral da viação colonial para a historiografia que abordou aspectos da viação em Minas Gerais. A referida sobreposição encontra síntese na proposição de dois paradigmas de transportes vigentes no período colonial. Propõe-se periodização para a História dos Transportes em Minas Gerais e também se realiza exploração de algumas fontes clássicas.
"La democracia no es solamente votar”
Authors: Paganini Mariana
Published: December 2024

Este trabajo analiza las “prácticas públicas de la historia” desarrolladas en el Espacio para la memoria y promoción de los derechos humanos ex Centro Clandestino de Detención Tortura y Exterminio “Olimpo” de la Ciudad de Buenos Aires (Argentina), poniendo el foco en el proyecto “Memorias de vecindad”, llevado adelante desde el año 2008, que da a conocer el proceso de participación política que logró “recuperar” el lugar y re-significarlo como espacio de memoria.
Editorial
Authors: Lanzieri Júnior Carlile
Published: December 2024

Editorial do vol. 17, n. 2, jul.-dez., 2024, da Revista Territórios & Fronteiras.
AUTOMATIZACIÓN ROBÓTICA DE PROCESOS: UNA REVISIÓN SISTEMÁTICA DE LA LITERATURA
Authors: Mirabete Martín , Villagra Andrea , Pandolfi Daniel
Published: December 2024

La automatización robótica de procesos (RPA) ha surgido como una tecnología transformadora, que revoluciona los procesos comerciales tradicionales al automatizar tareas repetitivas y optimizar la eficiencia operativa. Esta investigación profundiza en el panorama cambiante de RPA, explorando sus tendencias futuras y abordando los desafíos previstos en su adopción generalizada. Se describe el estado actual de RPA. Las tendencias futuras, como la integración de la inteligencia artificial, el aprendizaje automático y la automatización cognitiva en la RPA. Se identifica, además, el impacto potencial de la RPA en la fuerza laboral, las estructuras organizativas y la economía global, visualizando un cambio de paradigma en la naturaleza del trabajo. Se analizan los obstáculos y las complejidades que dificultan la implementación perfecta de RPA, incluyendo desafíos técnicos como escalabilidad, interoperabilidad y problemas de seguridad. Esta investigación tiene como objetivo proporcionar información valiosa y una guía para la toma de las decisiones estratégicas, fomentando la adopción responsable de RPA en la próxima era de la automatización.
El Ordenamiento Territorial Sostenible en un Espacio Compartido entre actividades extractivas
Authors: ZAREV Gustavo Ernesto
Published: December 2024

El desarrollo espacial de actividades agrícolas y actividades extractivas de hidrocarburos, cuando se superponen espacialmente, generan interrelaciones entre los sistemas, subsistemas y elementos que lo conforman. Dichas interrelaciones, deben ser tratadas bajo la órbita de la complejidad porque se trata de fenómenos difíciles de apreciar a simple vista y bajo la órbita del Ordenamiento Territorial Sostenible porque se desarrollan en el terreno. Por lo tanto, el marco teórico que aborda el estudio del sistema como complejo, con desarrollo espacial determinado, justifica la validez del planteo.
Las áreas en común entre la agricultura y las industrias extractivas de hidrocarburos van configurando un sistema con un patrón característico objeto del presente estudio. Una metodología de cómo se procede para manipular los datos provenientes de la realidad, elaborar un resultado derivado de los mismos, elaborar modelos posibles, para luego ofrecer propuestas de solución, sintetiza el objetivo y el proceso de construcción del estudio.
En vista de este escenario, se apunta a impulsar la investigación científica, el desarrollo tecnológico local y la adopción de innovaciones orientadas a la expansión de la Agricultura y la industria petrolera apuntalando la sustentabilidad de nuestra región.
El conjunt pictòric de les sibil·les de la confraria de Sant Pere i Sant Bernat
Authors:   UIB, Vicens Vidal Francesc
Published: December 2024

Resum
El treball que aquí presentam és l'aproximació iconogràfica al conjunt de cinc teles d'Època Moderna que representen les sibil·les de l'Antiguitat que a dia d'avui es troben en una sala de la planta noble de l'edifici de la confraria de Sant Pere i Sant Bernat de Palma. La semblança estètica entre elles i la proliferació de conjunts similars des del segle XVI ens fa pensar que possiblement es tracti d'una sèrie incompleta. Malgrat algunes incògnites que de moment no ens permeten explicar aspectes com l'arribada de les peces a Mallorca, o la seva fragmentació, tot apunta que estarien inspirades en els gravats de les sibil·les del pintor andalús Baltasar Porreño (1569-1639) i en uns mots italians renaixentistes que segons diversos autors haurien derivat en obres espanyoles i mexicanes coetànies. Aquest article treu a la llum unes peces fins ara desconegudes que són el testimoni de l'interès artístic per la temàtica de la Sibil·la als segles XVII i XVIII.
Estratègies didàctiques per al coneixement de la arqueologia: l'Arqueòdrom de la Universitat de les Illes Balears
Authors:   UIB, Jaume Lirola Auba , Amorós Puig Miquel , Javaloyas Molina David , García Rossell Jaume
Published: December 2024

Resum
En el present article expliquem en què consisteix l'Arqueòdrom. Una estratègia didàctica amb la que es pretén que alumnes de secundària adoptin una sèrie de coneixements que els apropin al món de l'arqueologia i alhora, siguin conscients del què suposa el Patrimoni Arqueològic.
L'Arxiu d'Imatge i So de Menorca
Authors:   Arxiu d', Pallicer Pons Esperança ,   Imatge i So de Menorca-CIM
Published: December 2024

Resum
L'Arxiu d'Imatge i So de Menorca és un servei del Consell Insular de Menorca que té com a objectiu recollir, conservar i difondre el patrimoni documental audiovisual i fotogràfic de Menorca. L'Arxiu va néixer fa 15 anys i, durant aquests anys, ha anat creixent en volum de fons i en activitats per a acostar aquest patrimoni al públic.

Amb aquest article us volem presentar l'Arxiu, la feina que fa i la manera com col·labora amb els centres educatius de Menorca.
Elisabeth Ripoll Gil, La Memòria Democràtica a les aules. Palma: Lleonard Muntaner, 2021, 102 pp.
Authors:   UIB, Feliu Cantallops Sebastià
Published: December 2024

Resum
Ressenya del llibre La Memòria Democràtica a les aules (2021), d'Elisabeth Ripoll.