bluuebunny/crossref_metadata_2025_split huggingface dataset:
Speech and Language Therapists’ Perspectives of Virtual Reality as a Clinical Tool for Autism: Cross-Sectional Survey
Authors: Mills Jodie , Duffy Orla 
Published: January 2025

Abstract

Background
Persistent difficulties with social skills form part of the diagnostic criteria for autism and in the past have required speech and language therapy (SLT) management. However, many speech and language therapists are moving toward neuro-affirmative practices, meaning that social skills approaches are now becoming redundant. Research demonstrates that virtual reality (VR) interventions have shown promise in overcoming challenges and promoting skill generalization for autistic children; however, the majority of these focus on social skills interventions. While VR is emerging as an SLT intervention, its application for autism remains unexamined in clinical practice.

Objective
This research aimed to examine speech and language therapists’ knowledge and attitudes toward immersive VR as a clinical tool for autistic children and explore the reasons for its limited integration into clinical practice.

Methods
A web-based cross-sectional survey was available from April 3, 2023 to June 30, 2023. The survey, consisting of 23 questions, focused on VR knowledge, attitudes, and the support required by speech and language therapists to incorporate VR into clinical practice. Dissemination occurred through the Royal College of Speech and Language Therapists Clinical Excellence Networks to recruit speech therapists specializing in autism.

Results
Analysis included a total of 53 responses from the cross-sectional survey. Approximately 92% (n=49) of speech and language therapists were aware of VR but had not used it, and 1.82% (n=1) had used VR with autistic children. Three key themes that emerged were (1) mixed general knowledge of VR, which was poor in relation to applications for autism; (2) positive and negative attitudes toward VR, with uncertainty about autism specific considerations for VR; and (3) barriers to adoption were noted and speech and language therapists required an improved neuro-affirming evidence base, guidelines, and training to adopt VR into clinical practice.

Conclusions
While some speech and language therapists perceive VR as a promising intervention tool for autistic children, various barriers must be addressed before its full integration into the clinical toolkit. This study establishes a foundation for future co-design, development, and implementation of VR applications as clinical tools for autistic children.
This study is the first to explore clinical implementation factors for the use of VR in SLT field, specifically with autistic children. Poor autism-specific VR knowledge, and mixed attitudes toward VR, highlight that specific barriers must be addressed before the technology can successfully integrate into the SLT clinical toolkit.
Speech and language therapists require support from employers, funding, a robust neuro-affirming evidence base, and education and training to adopt VR into practice. Recommendations for a SLT VR education and training program for use with autistic children, are provided.
Assessment, Decision, Adaptation, Production, Topical Experts-Integration, Training, and Testing (ADAPT-ITT) Framework to Tailor Evidence-Based Posttraumatic Stress Disorder Treatment for People With HIV to Enhance Engagement and Adherence: Qualitative Results from a Feasibility Randomized Controlled Trial
Authors: Lopez Cristina M , Moreland Angela D , Amaya Stephanie , Bisca Erin , Mujica Christin , Wilson Tayler , Baker Nathaniel , Richey Lauren , Eckard Allison Ross , Resick Patricia A , Safren Steven A , Danielson Carla Kmett 
Published: January 2025

Background
Individuals with co-occurring posttraumatic stress disorder (PTSD) and HIV are at high-risk for negative HIV-related outcomes, including low adherence to antiretroviral therapy, faster disease progression, more hospitalizations, and almost twice the rate of death. Despite high rates of PTSD in persons with HIV (PWH) and poor HIV-related health outcomes associated with PTSD, an effective evidence-based treatment for PTSD symptoms in PWH does not exist.

Objective
This study aimed to describe the adaptation and theater testing of an evidence-based intervention designed for people with co-occurring PTSD and HIV.

Methods
The Assessment, Decision, Adaptation, Production, Topical experts-integration, Training, and Testing (ADAPT-ITT) framework guided the formative process used to modify an evidence-based PTSD treatment (cognitive processing therapy; CPT) to meet the unique needs of PWH experiencing PTSD. With the integration of Life-Steps for Medication Adherence (Life-Steps), the adapted protocol (CPT-Life-Steps for integration of adherence; CPT-L) targeted HIV-related stigma and HIV medication adherence within a trauma-informed framework. Theater testing was completed with 7 participants to evaluate acceptability of CPT-L for PWH. The qualitative data (N=54 recordings) used to evaluate and adapt CPT-L emerged from individual interviews conducted with participants after each therapy session as well as exit interviews conducted at posttreatment data collection.

Results
After challenging stigma-related appraisals, participants expressed feeling less constrained by maladaptive thoughts. These shifts translated to increased self-efficacy with both HIV-related care and mental health.

Conclusions
These results indicate that trauma-informed work with PWH should consider the impact of HIV on trauma-related stuck points, intersecting identities (including living with HIV), and challenging internalized stigma. Findings provide evidence that CPT-L is acceptable and effective in addressing internalized HIV stigma that impacts PTSD symptom maintenance and HIV treatment engagement.

Trial Registration
ClinicalTrials.gov; NCT05275842; https://clinicaltrials.gov/study/NCT05275842?id=NCT05275842&rank=1

International Registered Report Identifier (IRRID)
RR2-10.1016/j.conctc.2023.101150
Restoration of Memory Potential by Piper betel Leaves Extract in High-Fat Diet (HFD)-Induced Dementia in Mice
Authors: Sharma Pooja , Rani Ritu , Singh Ajeet Pal , Singh Amar Pal 
Published: January 2025

The present study has been designed to evaluate the effect of ethanolic extract of leaves of Piper betel in high fat diet (HFD) induced dementia and memory restoration effect in Albino mice by various parameters like Morris water maze (MWM) test, Elevated Plus Maze etc. and Estimation of serum total cholesterol using commercially available kit. Dementia is a syndrome in which the deterioration of cognitive functions occurs.
The results of this study indicate that the administration of a high-fat diet to the Swiss mice produces a severe deterioration of spatial memory as determined by the Morris water maze (MWM) test, Elevated Plus Maze, T Maze delayed alteration task performed. Administration of ethanolic extract of Piper betel (250 and 500 mg/kg, p.o.) for 14 days significantly attenuated high-fat diet-induced memory deficits. Moringa Oleifera treatment to HFD induced mice improves cognition by virtue of its results support that the protective effect obtained with Piper betel may be through the activation of pregnane x receptors.
ethanolic extract of Piper betel treatment to HFD induced mice improves cognition by virtue of its results, supports that the protective effect obtained with Piper betel may be through the activation of pregnane x receptors.
Keywords: Dementia, Piper betel, high fat diet, Morris water maze, Elevated plus Maze, T Maze and Piracetam.
Venlafaxine induces Teratogenesis and alters SHH Gene Expression and Protein Biochemistry of Developing Gallus sp. Embryos
Authors: Wagh Pinakin Shrikant , Walimbe Riddhi Bhaskar , Poyrekar Aarushi Jeetendra , Phatak Sayali Avinash , Divekar Anish Anil 
Published: January 2025

The use of antidepressant drugs during pregnancy is increasing globally. SNRIs and SSRIs are most widely used for treating panic disorders. Venlafaxine is an antidepressant that inhibits serotonin and norepinephrine reuptake. Given the increasing prevalence of antidepressant use during pregnancy, Venlafaxine exposure during the early stages of development could lead to changes in protein dynamics and disrupt essential gene pathways, raising concerns about the potential teratogenic effects of antidepressant exposure during pregnancy. This study explores the developmental impact of Venlafaxine, a commonly prescribed serotonin-norepinephrine reuptake inhibitor (SNRI), on protein biochemistry and gene expression in the developing Gallus gallus domesticus embryos. Significant changes in protein profiles were observed among control and Venlafaxine-treated groups. Sonic Hedgehog (SHH) gene, a key regulator of embryonic patterning and organogenesis, specifically neural tube formation, and limb development, is known for its crucial role in embryonic development. qRT-PCR analysis of Venlafaxine-treated embryos showed changes in SHH gene expression suggesting that Venlafaxine may target SHH gene expression, and potentially alter signalling pathways crucial for normal embryogenesis. However, detailed studies are needed to understand the long-term consequences of prenatal and foetal antidepressant exposure on embryonic growth and development. These changes may lead to abnormal growth patterns or congenital defects, emphasizing the need for caution when prescribing Venlafaxine during pregnancy.
Keywords: Antidepressants, Venlafaxine, SNRI, Gallus gallus domesticus, Sonic Hedgehog (SHH), Protein Biochemistry, qRT-PCR
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA KIP UNIVERSITAS ANDI DJEMMA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)
Authors: Wulandari Dela , Paembonan Solmin , Sulaeman Budiawan 
Published: January 2025

Penelitian ini bertujuan untuk membangun sistem pendukung keputusan dalam penerimaan beasiswa KIP di universitas andi djemma palopo dengan menggunakan metode Simple Additive Weighting (SAW). Di perguruan tinggi, penerimaan beasiswa merupakan bagian penting dari memberikan akses ke pendidikan tinggi bagi mahasiswa berbakat yang membutuhkan dukungan keuangan untuk mencapai tujuan mereka.Oleh karena itu, sistem rekomendasi beasiswa diperlukan untuk membuat keputusan yang objektif. Sistem ini dirancang untuk mempercepat proses pengolahan penerima beasiswa KIP dan membuat keputusan yang objektif dengan mempertimbangkan kriteria yang telah ditentukan. Metode SAW digunakan untuk menilai dan meranking beberapa alternatif berdasarkan kriteria yang telah ditentukan. Sistem Pendukung Keputusan ini dalam perancangannya menggunakan metode pengembangan Unified Modeling Language (UML) yang terdiri dari use case diagram, activity diagram, dan sequence diagram. Sistem ini diharapkan dapat memberikan rekomendasi yang objektif dan membantu pengguna dalam mengambil keputusan yang tepat. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan berhasil merekomendasikan alternatif yang paling sesuai berdasarkan perhitungan SAW dengan akurasi yang tinggi.Keywords: Sistem Pendukung Keputusan, Beasiswa KIP, Simple Additive Weighting, Penerimaan beasiswa, UML.
ANALISIS SENTIMEN ULASAN PENGGUNA TERHADAP APLIKASI PEMBELAJARAN BERBAHASA DUOLINGO MENGGUNAKAN ALGORITMA NAÏVE BAIYES CLASSIFIER
Authors: Saninah Annisa , Prihartono Willy , Rohmat Cep Lukman 
Published: January 2025

Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap aplikasi Duolingo di Google Play Store menggunakan algoritma Naïve Bayes Classifier. Sebanyak 2.000 ulasan dianalisis dan diklasifikasikan ke dalam sentimen positif dan negatif. Hasil analisis menunjukkan bahwa algoritma ini memiliki kinerja yang sangat baik dengan accuracy mencapai 88%, precision sebesar 95%, recall sebesar 92%, dan F1-Score sebesar 93%. Sebagian besar ulasan menunjukkan sentimen positif terutama mengapresiasi fitur interaktif dan kemudahan penggunaan aplikasi, sementara beberapa ulasan negatif mengungkapkan masalah teknis, seperti bug dan lag. Hasil penelitian ini menunjukkan bahwa algoritma Naïve Bayes Classifier efektif untuk analisis sentimen berbasis teks sekaligus memberikan wawasan berharga kepada pengembang aplikasi untuk meningkatkan kualitas layanan. Penelitian ini merekomendasikan pengumpulan data ulasan yang lebih banyak dengan cakupan waktu lebih luas untuk mendapatkan hasil analisis yang lebih representatif. Selain itu, membandingkan kinerja algoritma ini dengan metode lain, seperti SVM, Random Forest atau LSTM dapat membantu menemukan pendekatan yang lebih optimal dalam menangani ulasan pengguna yang lebih kompleks. Penelitian juga mengungkapkan potensi aplikasi Duolingo dalam mendukung pembelajaran bahasa asing bagi anak berkebutuhan khusus di sekolah. Dengan fitur interaktif dan fleksibilitasnya, aplikasi ini memungkinkan siswa belajar sesuai kebutuhan individu. Dukungan seperti pelatihan bagi guru dan bimbingan yang tepat dapat memastikan penggunaan aplikasi ini lebih efektif. Penelitian ini diharapkan dapat berkontribusi pada pengembangan teknologi untuk meningkatkan pengalaman pengguna dan pembelajaran bahasa yang inklusif.
ANALISIS SENTIMEN MASYARAKAT TERHADAP PEMILIHAN BUPATI CIREBON 2024 BERDASARKAN KOMENTAR PADA VIDEO DEBAT DI YOUTUBE DENGAN METODE NAÏVE BAYES
Authors: Danil Arohman , Danil Arohman 
Published: January 2025

Metode Naïve Bayes digunakan sebagai algoritma utama untuk mengklasifikasikan komentar ke dalam kategori sentimen positif, negatif, dan . Maka dilakukan dalam beberapa tahapan, antara lain pengumpulan data melalui web scraping, pra-pemrosesan data meliputi pembersihan, normalisasi, dan penghapusan stopword, serta transformasi data menggunakan metode TF-IDF (Term Frequency-Inverse Document Frequency). Penelitian menunjukkan bahwa 420 komentar yang dianalisis, sentimen positif mendominasi dengan persentase sebesar 52%, diikuti oleh sentimen negatif sebesar 32%, dan sentimen sebesar 16%. Evaluasi model menggunakan Confusion Matrix menghasilkan tingkat akurasi sebesar 82%, yang menunjukkan bahwa algoritma Naïve Bayes Classifier efektif untuk analisis sentimen pada dataset ini. Berdasarkan hasil ini, penelitian memberikan gambaran tentang pandangan masyarakat terhadap calon bupati yang berpartisipasi dalam debat terbuka, serta memberikan wawasan penting bagi pemangku kepentingan untuk memahami dinamika opini publik dan merumuskan strategi komunikasi politik yang lebih tepat sasaran. Proses ini melibatkan pengukuran metrik evaluasi seperti Accuracy, Precision, Recall, dan F1-Score. Accuracy mencapai 75%, menunjukkan kemampuan model mengenali sentimen komentar dengan baik. Sementara itu, Precision sebesar 84% menunjukkan ketepatan model dalam memprediksi sentimen tertentu. Recall tercatat sebesar 82%, menandakan kemampuan model dalam menangkap sentimen yang sebenarnya ada. Selanjutnya, F1-Score menunjukkan keseimbangan antara Precision dan Recall dengan nilai sebesar 80%, yang menggambarkan perhasforma model cukup stabil meskipun terdapat distribusi data yang tidak merata.
Entrepreneurial competencies: content, principles of formation and development
Authors: Balabanova A. V. 
Published: January 2025

In recent decades, entrepreneurship has become one of the key drivers of economic development and innovation. Entrepreneurial competencies play an important role in this process, which determine a person’s ability to successfully conduct business and cope with challenges. Particular attention in research is paid to this issue by the theory of entrepreneurial competencies developed by David McCleland.This article is aimed at studying the history of research in the field of entrepreneurial competencies, the results of the work of D. McCleland and other experts, as well as the conclusions that became the basis for further research.David McCleland, a prominent psychologist and one of the founders of the theory of motivation, observed that success in entrepreneurship largely depends on individual competencies, and not only on quantitative indicators, such as educational level or work experience. He highlighted a number of personal entrepreneurial competencies that contribute to successful activities. This concept has led to a deeper understanding of how personality traits influence business outcomes and how they can be developed and improved.The formation of personal entrepreneurial competencies is a key factor in success in modern business. David McCleland’s theory and subsequent research has shown that these competencies can be developed and refined. A systematic approach to their development, including regular assessment and targeted work on themselves, allows entrepreneurs to increase the efficiency of their activities and achieve their goals.
Examining Roma Primary School Students' Expectations From School
Authors: Gürhan Ethem 
Published: January 2025

Objective: The aim of this study is to reveal what the expectations of Roma primary school students residing in Doğanlar Neighborhood in Konya are from school.

Theoretical Framework: The basis of this research is the expectations of Roma students from school. There are not many studies on Roma students in the literature. This research is important in terms of revealing the expectations of Roma students from school in Turkey and it is thought to contribute to the literature.

Method: In accordance with the purpose and subject of this research, the case study design was preferred among the qualitative research designs. In this design, one or more situations are investigated in detail. Case study allows the researcher to examine the events in depth (Yıldırım and Şimşek, 2013).

Results and Discussion: • Roma students look up to bad role models in their families and surroundings and have low expectations from school,

Roma students are excluded by some of their friends and teachers at school, and they have expectations of being accepted and adopted,
The low level of education of Roma families means that education and school do not mean anything to them, and for this reason, Roma primary school students' hopes for school are broken and their expectations from school are negatively affected.
Girls are made to work in housework and are married off at an early age for various reasons, while boys are made to work to contribute to the family's budget and are married off at an early age, which negatively affects their school prospects.
It has also been concluded that Roma people have concerns about employment, and that Roma students have no expectations from the future and have no expectations from school, considering the bad examples around them.

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of [insert field of study]. These implications could encompass [list impacted areas or sectors].

Originality/Value: This study is completely original as it has not been done before. Examining the expectations of Roma students from school will contribute to the literature and the field of educational sciences.
Artificial Neural Network For Predictive Modeling of Quinoline Insolubles in Pitch in A Steel Industry: Quality and Sustainability
Authors: Leite Natália Rezende Pinheiro , Guirlanda Christiano Pedro , Cassin Ana Clara , Nucci Edson Romano , Guimarães Marina Cristina , Bosch Neto Juan Canellas 
Published: January 2025

Objective: The objective of the present work was the development of an intelligent system based on artificial neural networks, supervised and with batch learning, to predict the quinoline insoluble quality (IQ) parameter of tar, using a set of data from a steel industry.

Theoretical Framework: Tar, derived from coal tar, is widely used in the production of anodes for the aluminum industry, and its quinoline insoluble (IQ) content is a crucial parameter, influenced by factors such as coal mixing, coking parameters and heat treatment. IQ forecasting is challenging due to the complexity of the processes involved. To address this question, artificial neural networks (ANNs) have been applied to predict the IQ of tar, taking advantage of its ability to handle complex, nonlinear systems.

Method: In this study, a feedforward RNA model was used, trained with the Levenberg-Marquardt algorithm. The model has been configured with two hidden layers and the tansig activation function. The training was carried out with real data from polymerization reactors, including variables such as level, temperature, nitrogen rate, feed flow rate of the polymerizers and tar IQ. The network was configured with 2000 interactions and 20 neurons in the hidden layer, obtaining a training error (MSE) of 1x10-20.

Results and Discussion: The analysis of the results revealed that temperature and nitrogen flow have the greatest influence on the IQ of the pitch, with higher temperatures and higher flow rates resulting in a higher IQ.

Research Implications: ANN modeling is effective in predicting and optimizing industrial processes, especially in the analysis of large volumes of data and complex systems, contributing to quality control in pitch production and the improvement of industrial processes.

Originality/Value: The main contribution of this work lies in the demonstration of the ability of artificial neural networks to accurately model the content of Quinoline Insolubles (IQ) of the pitch, even in the face of the significant dispersion observed in the input data. This finding is particularly relevant because the high variability of the data often poses a challenge for traditional predictive models. The precision achieved by the neural network, therefore, proves the feasibility and potential of this approach to overcome the limitations inherent to the complexity of the pitch production process and optimize its control, opening new perspectives for the steel industry
Makna Kata Umpatan Bahasa Jepang Kisama dan Temee dalam Anime Jojo no Kimyouna Bouken
Authors: I Made Budi Septiawan , Meidariani Ni Wayan 
Published: January 2025

Penelitian ini bertujuan untuk menganalisis makna kata nomina umpatan kisama dan temee dalam bahasa Jepang, serta mengidentifikasi makna dalam konteks percakapan. Kata ‘kisama’ dan ‘temee’ merupakan kata ganti orang kedua yang memiliki konotasi sangat kasar dan menghina, dalam anime kedua kata ini sering kali digunakan dalam situasi marah atau konflik. Dalam mempelajari Bahasa Jepang, sering terjadi kebingungan karena makna kata yang mirip dan tidak memahami makna kata secara kontekstual. Berdasarkan dari latar belakang tersebut peneliti mengkaji makna kata umpatan 'kisama' dan 'temee' dalam Bahasa Jepang dengan teori semantics a view to logic of language oleh Hilman Pardede (2016) dengan conceptual meaning yaitu menambahkan fitur-fitur yang berbeda jika makna mempunyai fitur dikatakan (+) dan jika tidak memiliki fitur dikatakan (-). Tulisan ini menggunakan pendekatan kualitatif digunakan untuk menganalisis penggunaan kedua kata kisama dan temee. Sumber data yang digunakan dalam tulisan ini berasal dari anime yang berjudul Jojo no Kimyouna Bouken. Hasil penelitian menunjukkan bahwa kisama cenderung memiliki konotasi yang kasar dan digunakan dalam konteks yang lebih dramatis atau ekstrem, sementara temee lebih umum digunakan dalam percakapan informal dengan nuansa yang lebih langsung dan agresif. Penelitian ini juga menggarisbawahi pentingnya memahami konteks dan situasional dalam penggunaan kedua kata umpatan ini.
Kata kunci: bahasa Jepang; kisama; semantik; temee.