bluuebunny/crossref_metadata_2025_split huggingface dataset:
COCHLEAR HAIR CELL REGENERATION BASED ON STEM CELLS: A SYSTEMATIC REVIEW
Authors: Costa Vítor Bruno , Tomé David , Çirtlik Zeynep Yağmur , Öztürk Yaren , Clemêncio Filomena , Pitt-Byrne Theresa 
Published: September 2024

IntroductionAccording to the World Health Organization (WHO), by 2050 at least 700 million people will need access to hearing care and hearing rehabilitation services. The search for cell or gene therapies has been intensifying, and stem cell therapy looks a promising candidate to support hearing regeneration and reduce these numbers. The aim of this study is to provide an overview of current advances in stem cellbased therapies for cochlear hair cell regeneration and the processes being developed for future applicability.Material and methodsIdentification and review of all articles in the databases PubMed, Web of Science, and PLoS One using the terms <i>stem cell</i>, <i>auditory hair cell regeneration</i>, and <i>mammalian</i> during February 2023 and following the PRISMA guidelines.Results50 articles were obtained, published between 2003 and 2022 and were systematically analyzed. The current research quantity is limited and further studies are needed, particularly in human tissue.ConclusionsThe simultaneous use of cell therapy and gene therapy may lead to more promising results. Moreover, advances in cochlear hair cell regeneration with stem cells suggest there is a realistic potential to make the technique a useful future therapy.
DO CHATBOTS PROVIDE RELIABLE INFORMATION ABOUT MOBILE APPS IN AUDIOLOGY?
Authors: Pastucha Małgorzata 
Published: September 2024

IntroductionIn light of the growing interest in utilizing AI for information retrieval, assessing the accuracy and reliability of tools such as chatbots is essential. This study aims to evaluate the efficacy of chatbots in providing accurate information about mobile applications (apps) in the field of audiology.Material and methodsThe responses of the Gemini and ChatGPT chatbots to eight open-ended questions posed in Polish and English were compared. Each answer was assessed for correctness.ResultsGemini_ENG achieved the highest correctness with a score of 5 points (62.5%), while ChatGPT_PL scored 2 points (25%), and both Gemini_PL and ChatGPT_ENG scored 1 point (12.5%). Chatbots were most effective in recommending apps for older adults, with three of
the four chatbots providing accurate recommendations. However, they struggled when asked to recommend apps for non-English speakers, to describe apps, or to provide direct links, with none of them scoring points in these areas.ConclusionsChatbots are currently unreliable sources of information about audiology apps. Depending on the language, there is significant variability in response accuracy. A good example is that Gemini_ENG performed far better than Gemini_PL. A major issue for all of them was the frequent fabrication of data, including the creation of nonexistent app names and incorrect links.
Rehabilitation of patients with vulvovaginal atrophy
Authors: Khazan P. L. , Mnatsakanyan A. N. , Korabelnikov D. I. , Ampilogova D. M. , Petrenko D. A. 
Published: September 2024

Background. Genitourinary syndrome of menopause (GSM) is characterized by a number of pathological changes, in particular urological disorders, vulvovaginal atrophy (VVA) and sexual dysfunction. They are commonly accompanied by decreased quality of life (QoL) and often require medical intervention. At the same time, the steps taken to effectively solve this problem are not enough. Thus, it seems relevant to search for rehabilitation methods for VVA patients.Objective: to determine the effectiveness of current rehabilitation methods for VVA patients.Material and methods. The search of publications in international scientific databases PubMed/MEDLINE, ScienceDirect, search engines and eLibrary revealed 4,330 publications, of them 44 sources were selected for the analysis after the screening procedure according to PRISMA scheme.Results. VVA is based on decreased serum estrogen level and estrogen receptors quantity. Estrogen is a vasoactive hormone that promotes blood supply to the genitals and is involved in maintaining the normal genitourinary microflora. This may occur in women for age-related reasons or as a result of ongoing therapy or radical surgical intervention. At the same time, GSM is often formed, where VVA is one of the key elements. These changes are accompanied by sexual dysfunction, distress and decreased overall QoL in women. It is advisable to carry out complex personalized rehabilitation and QoL monitoring for such patients. The effectiveness of estrogen-containing therapy for topical use as well as adjunctive therapy with non-hormonal lubricants and moisturizing gels or creams was shown for VVA patients.Conclusion. It was determined that VVA symptoms, in general, significantly affect the patients’ QoL, regardless of age. The necessity of developing specialized rehabilitation programs conducted by specialists of various profiles was noted. The effectiveness of these programs will be higher with timely diagnosis, which also requires significant attention.
Телесный аспект социальной философии Артура Крокера: от панической сексуальности к исчезновению тела
Authors: Минаев Даниил Кириллович 
Published: September 2024

<p>В данной статье автор обращается к проблематике телесности, представленной в ранних работах популярного в англоязычном мире, но мало известного в России канадского медиатеоретика и социального философа Артура Крокера. В начале интеллектуальной карьеры Крокер занимался переосмыслением современности, противопоставив постмодерну сперва проект ультрамодерна, а позднее и «состояние гипермодерна», причем сделал это задолго до французского социального философа Жиля Липовецкого.</p><p> Уже на раннем этапе творчества одним из главных топосов для мыслителя было человеческое тело, естественная смысловая целостность которого расщеплялась культурой паники, медикализацией, предвосхищением техногенных преобразований. Интерес к человеческому телу как средоточию симптомов актуальных социально-политических проблем пронизывает все творчество философа, поэтому представляется важным анализ исходных концептов, положивших начало «телесной» социальной философии Крокера: «панической сексуальности» и «исчезающего тела».</p><p>На примере статей «Панический секс в Америке» и «Тезисы об исчезновении тела в состоянии гипермодерна», написанных Артуром Крокером в соавторстве с его супругой и единомышленником Мэрилуизой Крокер, предпринимается попытка показать формирование авторской стратегии обращения к телу как к предмету актуальной социально- философской мысли.</p>
Poáceas nativas do cerrado para restauração de Voçorocas
Authors: Vieira Trevisani Nayara , Carla Dias Trevisan Adriana 
Published: September 2024

O Cerrado é marcado por forte heterogeneidade ambiental, o que o torna um bioma com alto endemismo de espécies. Desta maneira, torna-se essencial a implementação de medidas protetivas e de restauração das áreas degradadas para evitar perdas da sua biodiversidade. Grandes erosões como as voçorocas, são exemplos de degradação que podem impactar fortemente o bioma. Estas perturbações de origem natural ou mais comumente desencadeadas pela exploração desordenada de uso do solo geram diversos danos ambientais. Neste estudo, foram testadas três espécies autóctones, uma anual (Gymnopogon foliosus) e duas perenes (Andropogon bicornis e Andropogon leucostachyus) através da semeadura direta em uma voçoroca, em parcelas de 0,5 x 0,5 m, para avaliar o potencial de cobertura vegetal. O grau de cobertura vegetal foi avaliado pelo método de Braun-Blanquet aos 15, 30 e 90 dias após a semeadura. Constatou-se uma rápida taxa de germinação e ocupação do espaço pela espécie anual, evidenciando G. Foliosus como alternativa de inserção em projetos de restauração da cobertura vegetal inicial de áreas erodidas no Cerrado. Entre as espécies perenes, embora com velocidade de crescimento menor, A. bicornis também apresentou bom potencial para cobertura do solo.
Palavras chaves: área degradada, conservação, gramíneas, semeadura direta
Divulgação científica no Centro de Avaliação Psicológica da Universidade Federal do Rio Grande do Sul (UFRGS)
Authors: Carvalho dos Santos Giulia , Maziero Francielly , Rivelli Ramos Lucas , Balem Yates Denise 
Published: September 2024

A divulgação científica é uma face da produção científica que vem assumindo grande importância com o maior acesso à informação por meio de tecnologias digitais. Na psicologia, a divulgação científica tem se tornado um meio de disseminação do conhecimento, assim como de aprendizado de comunicação através de linguagem simples. No Centro de Avaliação Psicológica da UFRGS essa estratégia de ensino se mostrou eficaz nos estágios durante o isolamento social pela pandemia da Covid-19. O objetivo deste trabalho é descrever a elaboração de materiais de divulgação científica em avaliação psicológica (AP) feitos por estudantes de psicologia. Foram desenvolvidos depoimentos de divulgação do evento de 20 anos do CAP, um “react” sobre testes de personalidade na internet, e 5 vídeos sobre Transtorno do Espectro Autista (TEA) em adultos. Os depoimentos foram relatos de ex-estagiários e ex-supervisores sobre o CAP. O react foi uma proposta de divulgação que utilizou um site da internet com quizzes conhecidos pelo público leigo e trouxe a discussão sobre a banalização dos testes e seu uso indevido na internet de maneira divertida e informativa. Os vídeos sobre TEA em adultos ainda não foram postados. Os conteúdos envolveram a consulta à literatura diagnóstica e teórica e a informações sobre o cotidiano das pessoas com TEA, além de estimular o exercício da linguagem acessível ao público geral. Os vídeos de divulgação do evento de 20 anos do CAP receberam 9.184 visualizações e o react recebeu 1.773. Além da função de disseminação do conteúdo, a elaboração de roteiros em vídeo exige pesquisa sobre material científico, construção textual, adequação de linguagem e apresentação do assunto de forma atrativa. Tais habilidades são necessárias no trabalho do psicólogo, como forma de adquirir e disseminar conhecimento e consistem em uma forma de preparação dos estudantes para a atuação profissional responsável nas redes sociais.
EGIDIO ROCCI
Authors: PEYERL ANGELA , Ostetto Lucy , Gusso Luana 
Published: September 2024

Pensar na obra de Egidio Rocci é também mergulhar em uma experiência urbana através da cidade como um subsidio para a arte e a memória. Para tanto, utilizaremos a poética do artista, investigando a sua busca pela matéria e por fragmentos que são os “restos” da cidade moderna. Este trabalho tem o intuito de discutir as linhas do patrimônio artístico, artificação e patrimônio das emoções como campo de delimitação teórica. Deste modo a cidade não se restringe apenas ao espaço urbano, ela se perpetua na metáfora do artista como um escafandrista urbano, que se veste da cidade e que estava sempre preparado para mergulhos na sua obra e na memória que reside nos objetos deixados pela cidade. Nas suas obras a matéria utilizada era encontrada em espaços da cidade de São Paulo ou em uma espécie de lixo de construção proveniente da Prefeitura de São José dos Campos.
CHILDREN'S LITERATURE IN SOUTHERN VIETNAM PERIOD 1954 - 1975 IN TUỔI NGỌC MAGAZINE
Authors: Thi Thuy Nguyen , Dung Le Van 
Published: September 2024

Before 1975, in southern cities, there were many publishing houses that printed publications for children. Besides those individual publications, there are also newspapers that always accompany young readers. It can be said that Tuổi Ngọc weekly magazine was a spiritual gift that writers who love children gave to young readers at that time. Under the accompaniment of Duyên Anh and Vũ Mộng Long (From now on, depending on the author's name when printed with the same work, we will sometimes write it as Duyen Anh or Vu Mong Long), Đinh Tiến Luyện, Từ Kế Tường, Hoàng Hải Thuỷ, Mường Mán, and many other authors have brought children's readers good and valuable works. This weekly newspaper operated for nearly 6 years and then ceased publication. During that period of operation, the newspaper contributed for the country's literature in general and children's literature in particular, especially in the southern urban area, with typical author faces and works of immense value, not only in terms of genre but also in content value such as educational and entertainment value. The weekly newspaper always receives love from young readers and trust from their parents.
AI-Powered Predictive Customer Lifetime Value: Maximizing Long-Term Profits
Authors: Egorenkov Dmitrii 
Published: September 2024

In an era where data-driven decision-making is critical to business success, understanding and optimizing Customer Lifetime Value (CLV) has become a strategic priority for companies across industries. CLV, which estimates the total revenue a business can expect from a customer throughout their relationship, is crucial for identifying high-value customers and tailoring marketing strategies to maximize profitability. However, traditional methods of calculating CLV often rely on historical data and linear models, limiting their accuracy and adaptability in a rapidly changing market environment.

The integration of Artificial Intelligence (AI) into predictive analytics has brought about a paradigm shift in how businesses approach CLV. AI-powered predictive models leverage machine learning algorithms to analyze vast amounts of data, uncover complex patterns, and make highly accurate CLV predictions. These models can dynamically adjust to changes in customer behavior, market conditions, and other external factors, providing businesses with a more precise and actionable understanding of their customer base.

This article explores the transformative potential of AI in predictive CLV modeling, examining the various techniques and data sources that drive these advanced models. We will discuss the strategic benefits of AI-driven CLV, including personalized marketing, optimized customer segmentation, and enhanced customer retention strategies. Additionally, we will address the challenges associated with implementing AI-powered CLV models, such as data privacy concerns, integration with existing systems, and the interpretation of AI-generated insights.
Through a detailed analysis of industry case studies, this article highlights the practical applications of AI-powered CLV models in maximizing long-term profits. We will also explore future trends in AI technology and their potential impact on CLV predictions, offering insights into how businesses can stay ahead of the curve in an increasingly competitive landscape. By the end of this article, readers will have a comprehensive understanding of how AI can revolutionize CLV predictions and drive sustained business growth.
Pembuatan Aplikasi Media Pembelajaran Simulasi Alat Berat dengan Menggunakan Teknologi Virtual Reality
Authors: Hidayat Taufiqurrakhman Nur , Purnomo Fendi Aji , Yudhanto Yudho , Pratisto Eko Harry 
Published: September 2024

<p><strong>Abstrak </strong></p><p>Inovasi Media Pembelajaran Simulasi Alat Berat dengan menggunakan teknologi VR, dapat menjadi solusi untuk pemecahan permasalahan tingginya harga unit dan kesempatan penggunaan alat berat sebagai media pembelajaran dan simulasi baik bagi calon operator alat berat maupun Siswa SMK dan Mahasiswa Teknik Mesin dan Teknik Alat Berat. Inovasi ini memungkinkan pengguna memiliki pengalaman menjelajahi dan berinteraksi dengan Alat Berat secara virtual dengan menggunakan headset realitas maya dan alat kemudi. Aplikasi dibangun dengan menggunakan perangkat lunak Unity dan bahasa pemrograman C#. Berdasarkan Pengujian Aktivitas Pengguna yang dilakukan oleh sebuah perusahaan yang bergerak dibidang jasa konsultasi Teknologi Informatika dan pengembang perangkat lunak didapatkan rerata nilai 7,375 dari skala nilai 10. Sedangkan dari hasil Pengujian Basis Pengalaman Pengguna kepada calon pengguna aplikasi mendapat respon positif terhadap fungsional aplikasi, perlu adanya validitas market lebih komprehensif, dan Aplikasi merupakan solusi teknologi tepat guna.</p><p>==================================================</p><p><strong>Abstract</strong></p><p><em>Innovation of Heavy Equipment Simulation Learning Media using VR technology can be a solution to solving the problem of high unit prices and the opportunity to use heavy equipment as a learning and simulation medium for both prospective heavy equipment operators and SMK students and students of Mechanical Engineering and Heavy Equipment Engineering. This innovation allows the user to have the experience of exploring and interacting with the Machine virtually by using a virtual reality headset and steering gear. The application is built using Unity software and the C# programming language. Based on User Activity Testing carried out by a company engaged in Information Technology consulting services and software developers, an average value of 7.375 is obtained from a value scale of 10. Meanwhile, from the results of the User Experience Base Test to prospective application users, they receive a positive response to the functional application, validity is needed more comprehensive market, and the Application is an appropriate technology solution.</em></p>
Pemetaan Prediksi Jumlah Penerima Bantuan PKH Menggunakan Metode Single Exponential Smoothing Di Kota Pontianak
Authors: Febriansyah Muhammad Chairul , Prawira Dian , Sari Renny Puspita 
Published: September 2024

<p>Abstrak </p><p>Kemiskinan merupakan salah satu permasalahan yang terjadi di Indonesia. Di Kota Pontianak tercatat persentase penduduk miskin sebesar 4,6 persen pada Maret 2019. Salah satu upaya yang dilakukan pemerintah khususnya Dinas Sosial Kota Pontianak adalah memberikan bantuan sosial Program Keluarga Harapan (PKH). Namun jumlah peserta yang masuk menerima bantuan PKH dengan jumlah pendamping atau pengawas peserta bantuan PKH tidak seimbang. Sehingga penyaluran bantuan tidak tepat sasaran dapat terjadi. Maka dari itu akan dibangun Sistem Informasi Geografis menggunakan metode <em>Single Exponential Smoothing</em> yang dapat memprediksi jumlah PKH dengan menghitung menggunakan data masa lalu untuk menentukan sesuatu di masa depan. Hasil penelitian ini berupa Sistem Informasi Geografis berbasis <em>website</em> yang menginformasikan hasil perhitungan prediksi jumlah penerima bantuan PKH tiap konstanta yang digunakan dan merepresentasikannya dalam bentuk peta visual berdasarkan kecamatan dan kelurahan sehingga membantu Dinas Sosial Kota Pontianak mengambil langkah tepat dalam pengelolaan dan pengawasan program PKH. Sistem ini telah dilakukan pengujian fungsional sistem menggunakan metode <em>black box testing</em> dan memperoleh hasil sesuai dengan yang diharapkan. Sedangkan pengujian antarmuka sistem dilakukan kepada 30 responden melalui kuesioner <em>online</em> memperoleh hasil persentase 88,48%.</p><p>================================================</p><p>Abstract</p><p>Poverty is one of the problems that occur in Indonesia. In Pontianak City, the percentage of poor people was recorded at 4.6 percent in March 2019. One of the efforts made by the government, especially the Pontianak City Social Service, is to provide social assistance for the Family Hope Program (PKH). However, the number of participants who entered to receive PKH assistance with the number of assistants or supervisors for PKH assistance participants was unequal. So that the distribution of aid that is not on target can occur. Therefore a Geographic Information System will be built using the Single Exponential Smoothing method which can predict the number of PKH by calculating using past data to determine something in the future. The results of this study are in the form of a website-based Geographic Information System which informs the prediction results of the number of PKH beneficiaries for each constant used and represents them in the form of a visual map based on sub-districts and wards to help the Pontianak City Social Service take the right steps in managing and supervising the PKH program. This system has carried out functional testing of the system using the black box testing method and obtained the results as expected. While testing the system interface was carried out on 30 respondents via online questionnaires, obtaining a percentage of 88.48%.</p>
Machine Learning Sentiment Analysis in Cyber Threat Intelligence Recommendation System
Authors: Aji bawono Marastika wicaksono aji bawono , Kasman Sachlany , Dwi Utomo Stevani 
Published: September 2024

The use of the digital world is increasing every day. Attacks and data theft occur on various websites, both government-owned and commercial and banking sites. Therefore, this research aims to identify the threats of frequently occurring viruses in a country. There is a considerable amount of news explaining cybercrime incidents. The problem of this research is that unstructured data such as articles and technical reports are difficult to analyze and identify the types of cybercrime attacks. Previous research attempted to semantically extract unstructured cyber threats, but there were shortcomings in previous research. The novelty of this research is the development of a Cyber Threat Intelligence (CTI) machine learning model to identify the types of virus attacks or cybercrimes that frequently occur in e-commerce transactions, so that they can take rescue actions for incident handling in the digital world using tactics, techniques, and procedures (TTP). The method involves using machine learning, taking Cyber Threat Intelligence (CTI) documents as input regarding cybersecurity threat handling steps, and then processing the data using AI TF-IDF and Bags of Words for the identification of steps, tactics, techniques, and procedures required for each frequently occurring security incident.
Building A Foundation Model for Drug Synergy Analysis Powered by Large Language Models
Authors: Zhao Hongyu , Liu Tianyu , Chu Tinyi , Luo Xiao 
Published: September 2024

Abstract

Drug synergy prediction is a challenging and important task in the treatment of complex diseases including cancer. In this manuscript, we present a novel Foundation Model, known as BAITSAO, for tasks related to drug synergy prediction with a unified pipeline to handle different datasets. We construct the training datasets for BAITSAO based on the context-enriched embeddings from Large Language Models for the initial representation of drugs and cell lines. After demonstrating the relevance of these embeddings, we pre-train BAITSAO with a large-scale drug synergy database under a multi-task learning framework with rigorous selections of tasks. We demonstrate the superiority of the model architecture and the pre-trained strategies of BAITSAO over other methods through comprehensive benchmark analysis. Moreover, we investigate the sensitivity of BAITSAO and illustrate its unique functions including new drug discoveries, drug combinations-gene interaction, and multi-drug synergy predictions.