bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategi Pemasaran Efektif Untuk Meningkatkan Penjualan di Era Digital
Authors: Nurul Indawati  , Bambang Setyo Pambudi
Published: December 2024

This study aims to analyze effective marketing strategies for increasing sales in the digital era based on literature review and to identify challenges and solutions in implementing digital marketing strategies. The research employs a literature study approach, with primary data sourced from books, scientific journals, theses, dissertations, e-books, and other written materials. The findings indicate that effective digital marketing strategies include the utilization of social media, email marketing, SEO, product diversification, and e-commerce to reach a broader audience and boost sales. Common challenges include limited resources, lack of technology training, and shifts in consumer behavior. Proposed solutions involve intensive training, creative content management, the use of advanced technologies such as Artificial Neural Networks, as well as optimizing social media and user-generated content. Thus, digital marketing strategies can be a powerful tool for enhancing a company's competitiveness in the digital era, provided the existing challenges are effectively addressed
Inventory Management and Its Impact on the Firm Performance
Authors: Srour Heba , Azmy Ahmed
Published: December 2024

Inventory management is a challenging area so this study will illustrate the ways
of managing inventory. The main aim of this study is to examine the impact of
inventory management which will be measured by inventory turnover on firm’s
performance which will be measured by firm’s profitability using return on assets
and return on equity. The data was collected from the Egyptian stock exchange
market. The analysis of this study was done using (Eviews 12) for both descriptive
statistics and multiple regression. The results of this study indicate that there is a positive correlation between inventory turnover and Return on assets (R20.769321) and also with Return on Equity (R2
= 0.669593) which were found to be statistically significant at 5% level.
Keywords: Inventory management – Inventory turnover – Firm performance –
Profitability.
Barriers, facilitators and next steps for sustaining and scaling virtual hospital services in Australia: a qualitative descriptive study
Authors: Newton Nicki , Shah Kavisha , Shaw Miranda , Charlston Emma , Baysari Melissa T , Ritchie Angus , Yu Chenyao , Johnston Adam , Singh Jagdev , Makeham Meredith , Norris Sarah , Laranjo Liliana , Chow Clara K , Shaw Tim
Published: December 2024

Objective

To describe the barriers to and facilitators of implementing and delivering virtual hospital (VH) services, and evidence and practice gaps where further research and policy changes are needed to drive continuous improvement.

Study design

Qualitative descriptive study.

Setting, participants

Online semi‐structured interviews and a focus group were conducted between July 2022 and April 2023 with doctors, nurses and leadership staff involved in VH services at three sites in New South Wales, Australia.

Main outcome measures

Barriers to and facilitators of implementing and delivering VH services in sites with differing operating structures and levels of maturity, and evidence and practice gaps relating to VH services.

Results

A total of 22 individuals took part in the study. Barriers, facilitators, and evidence and practice gaps emerged within five major themes: scope and structure of VH services; development and implementation of VH models of care; delivery of VH models of care; evaluation of VHs and VH models of care; and sustainment and scalability of VH services. Facilitators of VH success included hybrid approaches to care, partnerships with external services, and skills of the VH workforce. Barriers and gaps in evidence and practice included technical challenges, the need to define the role of VH services, the need to evaluate the tangible impact of VH care models and technologies, and the need to develop funding models that support VH care delivery. Participants also highlighted the perceived impacts and benefits of VH services on the workforce (within and beyond the VH setting), consumers, and the health care system.

Conclusions

Our findings can help inform the development of new VH services and the improvement of existing VH services. As VH services become more mainstream, gaps in evidence and practice must be addressed by future research and policy changes to maximise the benefits.
Health service access and quality of care provided by the Western NSW Local Health District Virtual Rural Generalist Service: a retrospective analysis of linked administrative data
Authors: Luscombe Georgina M , Wilson Andrew , Ampt Amanda J , Von Huben Amy , Howard Kirsten , Coleman Clare , Wingfield Georgia , Nott Shannon
Published: December 2024

Objective

To evaluate the quantity and quality of medical care provided by the Western NSW Local Health District Virtual Rural Generalist Service (VRGS).

Design

Retrospective cohort study; analysis of emergency department and administrative hospital data.

Setting

Twenty‐nine rural or remote hospitals in the Western NSW Local Health District at which the VRGS was providing medical care in the emergency department (ED) and/or inpatient setting. The VRGS was providing predominantly virtual medical support when local doctors needed relief or were unavailable, typically for lower acuity ED presentations and scheduled inpatient ward rounds.

Patients

All patients who presented or were admitted to a Western NSW Local Health District hospital serviced by the VRGS between 1 July 2021 and 30 June 2022.

Main outcome measures

Treatment completions, transfers, ED departure within 4 hours, length of stay, and hospital mortality.

Results

During 2021–22, 34% of ED presentations (13 660/39 701) and 40% of admissions (2531/6328) involved VRGS care. For ED presentations, after adjusting for socio‐demographic and clinical factors, patients attended by VRGS doctors had higher odds of not waiting (adjusted odds ratio [aOR], 3.69; 95% CI, 2.79–4.89), lower odds of transfer to another hospital (aOR, 0.66; 95% CI, 0.60–0.72) and slightly lower odds of ED departure within 4 hours (aOR, 0.92; 95% CI, 0.86–0.98) when compared with patients not attended by VRGS doctors (ie, those provided usual care). For admissions, after adjusting for socio‐demographic and clinical factors, inpatients attended exclusively by VRGS doctors had higher odds of discharging at their own risk (3.33; 95% CI, 1.98–5.61) and lower odds of being a long stay outlier (aOR, 0.51; 95% CI, 0.35–0.74) when compared with inpatients not attended by VRGS doctors. The odds of inpatient mortality were equivalent when comparing VRGS and non‐VRGS care (aOR, 0.78; 95% CI, 0.48–1.28) and when comparing combined (VRGS and non‐VRGS) and non‐VRGS care (aOR 1.21; 95% CI, 0.91–1.61).

Conclusions

In the current environment of rural medical workforce shortages, the VRGS achieved similar outcomes on routinely collected measures of quality of care. It is demonstrably an option for complementing and enhancing the delivery of medical care in rural and remote communities with limited or no local medical services.
An economic evaluation of the Virtual Rural Generalist Service versus usual care in Western NSW Local Health District
Authors: Von Huben Amy , Thompson Anna E , Wilson Andrew , Luscombe Georgina M , Haigh Amelia , Howard Kirsten , Saurman Emily , Shaw Tim , Wingfield Georgia , Ampt Amanda J , Nott Shannon
Published: December 2024

Objective

Evaluate the cost‐effectiveness of the Virtual Rural Generalist Service (VRGS) model of care.

Design

A cost–consequence analysis of the VRGS model of care compared with usual care (treatment by local or locum [non‐VRGS] doctors) from the perspective of the health care funder in 2022 prices.

Setting

Twenty‐nine rural and remote hospitals in the Western NSW Local Health District where the VRGS has been in operation (VRGS sites).

Patients

Patients of any age who presented to an emergency department (ED) or were admitted to hospital at VRGS sites over the pre‐VRGS period (1 February 2019 to 31 January 2020) or the post‐VRGS period (1 July 2021 to 30 June 2022).

Intervention

The VRGS model of care, which provides 24‐hour 7‐days‐a‐week rural generalist doctors, both virtually and in person, to small rural and remote hospitals, predominantly for lower acuity ED presentations, daily ward rounds for inpatients admitted by a VRGS medical officer, and ad hoc inpatient medical reviews when local doctors need support or are unavailable.

Main outcomes measures

Incremental cost per incremental quality‐of‐care outcome, maintenance of health service activity levels, workforce sustainability (measured by changes in locum shifts), and service acceptability (as determined by thematic analysis of interviews).

Results

The cost per standard unit of health care (national weighted activity unit) was lower for the VRGS ($1047) than for usual care ($1753). VRGS doctors dealt with ED presentations of similar complexity to non‐VRGS doctors, and admissions of significantly lower (40%) complexity. Health service activity remained stable from the pre‐VRGS period to the post‐VRGS period, only declining by 4% in the post‐VRGS period, which was during the coronavirus disease 2019 pandemic. Locum shifts decreased from 1456 days in the pre‐VRGS period to 609 days in the post‐VRGS period, improving the sustainability of the workforce. Local doctors and managers found the VRGS to be acceptable, but thought it could be enhanced with additional investment in nursing and technical staff.

Conclusions

Our economic evaluation of the VRGS showed that it provided lower cost care and equivalent quality‐of‐care outcomes when compared with usual care for ED presentations of the same complexity, and supported local clinical staff to maintain activity levels despite a pandemic. With additional investment in data capture and in nursing and technical staff to support the service, the VRGS has promise as a flexible service that can help sustain access to quality medical care in rural and remote communities.
Hahn-Banach theorem-based analytic approaches for the abstract Cauchy-Euler differential equation
Authors: Alshanti Waseem , Abu Hammad Ma'mon , Alshanty Ahmad , Khalil Roshdi
Published: December 2024

In this paper, we consider the following abstract Cauchy-Euler differential equation t2u''(t) + tu't) + u(t) = 0; where u: [0; t] -> X is an unknown function such that X is a Banach space. Utilizing the Hahn-Banach Theorem, two analytic approaches are presented.
On Caputo conformable fractional neutral evolution equations with finite delay
Authors: Ben Tahir My Hicham , Chadli Lalla Saadia , Elomari M'hamed
Published: December 2024

In this paper, we study a class of Caputo conformable fractional neutral evolution equations with finite delay. The existence and uniqueness for mild solutions are proved by fixed point theorems of Krasnoselskii and Banach contraction mapping, with some conditions. In the end, an example application is given for illustration purposes.
Hybrid Langevin equations involving ψ-Hilfer fractional-order with nonlocal boundary values
Authors: Abderrahman El Gmairi  , Monsif Lekbir , El Omari M'hamed , Melliani Said
Published: December 2024

In this work, we are interested in studying existence and uniqueness criteria for a class of hybrid ψ-Hilfer Langevin equations of fractional order with multipoint boundary conditions. After specifying the conditions and framework, we prove the existence result using Krasnoselskii's fixed point theorem, and under some additional hypotheses, we prove the uniqueness of the solution using Banach's contraction principle theorem. To support our conclusions from a numerical point of view, we formulate two examples that also illustrate the importance of the main results presented.
On weakly S-ρ-ideals in noncommutative rings
Authors: Alaa Abouhalaka  , Çay Hatice , Nico Groenewald
Published: December 2024

Let R be a noncommutative ring, and φ ≠ S ⊆ R be an m-system of R. In this paper, we extend the concept of weakly prime ideals in noncommutative rings by introducing weakly S-ρ-ideals. This generalization builds on the notions of right S-prime, weakly S-n-ideals and S-ρ-ideals. We present equivalent definitions and key properties of weakly S-ρ-ideals. We also explore with the method of idealization how the weakly S-ρ-ideal property transfers to related rings and construct such ideals. On the other hand, we give a generalization of S-ρ-ideals which were introduced in [12].
Peningkatan Pengetahuan Perawat Tentang Pemberian Obat DOTS pada Pasien TB di RSU IPI Medan
Authors: Nixson Manurung
Published: December 2024

TB is one of the 10 causes of death and the primary cause of infectious agents in the world. The prevalence of tuberculosis patients in 2020 amounted to 929 patients. Some of the influencing factors are behavioral factors, namely knowledge, attitude and behavior in the implementation of routine medication compliance. The method used was observational descriptive with 30 participants who were residents of Sampali Village, Percut Sei Tuan District. The PkM team provided the material in question: 1) Definition of tuberculosis disease, 2) Causes of tuberculosis disease, 3) Signs and symptoms of tuberculosis disease, 4) Complications of tuberculosis disease, and 5) Prevention of tuberculosis disease. After the implementation of the activity: 1) The majority of the understanding of tuberculosis (TB) is good as many as 25 people, 2) The causes of tuberculosis (TB) are mostly good as many as 27 people, 3) The signs and symptoms of tuberculosis (TB) are mostly good as many as 26 people, 4) The majority of tuberculosis (TB) complications are good as many as 27 people, and 5) Prevention of correct transmission of tuberculosis (TB) all participants have been able to as many as 27 people. The increase in knowledge and skills of participants is because the community has a great desire to treat and prevent dengue fever in family members at home.
Manajemen Program Trilingual di Sekolah Islam
Authors: Puput Mulyono  , Singgih Purnomo
Published: December 2024

The background that encourages this research is that basically the trilingual program is needed to equip students to have global competitiveness because of their proficiency in English and Arabic. The purpose of this study is to examine the implementation, evaluation, and find out the difficulties and obstacles in the implementation of the bilingual program based on holistic education at Al-Azhar Islamic School Sukoharjo. This research method is descriptive qualitative. This research uses data collection techniques in the form of interviews, observations, documentation, and questionnaires. While the data analysis technique includes three stages, namely data reduction, data presentation, and drawing conclusions. The results of this study indicate that the implementation of the trilingual program is in the form of using English in English subjects. Evaluation of the bilingual program based on holistic education includes exercise, practice, and enrichment. The difficulties and obstacles faced are that students do not fully understand the learning process using English. The conclusion of this study is that the implementation of a holistic education-based bilingual program is carried out through the implementation of three curricula with different approaches, recruitment of teachers who have English language skills, and the use of mixed language in the implementation of learning. Evaluation of teachers is conducted through monthly meetings by the school management. Meanwhile, evaluation for students is carried out through daily assignment assessments, mid-semester exams, and end-of-semester exams. Difficulties and obstacles encountered are the different abilities of students, the different carrying capacity of each family, and the existence of students who do not understand the benefits of language.
Strategi Pencegahan Anemia pada Ibu Hamil melalui Layanan Posyandu
Authors: Maliha Amin  , Michelle Salsabilah  , M. Iqbal Pratama  , Marsha Salsabila  , M. Dwi Satria  , Bella Regita Az-Zahra
Published: December 2024

Anemia in pregnant women is a serious health problem in Indonesia, with a prevalence of 48.9% based on the 2018 Riskesdas data. This condition can have negative impacts on the health of both the mother and the fetus, such as increased risks of premature birth, low birth weight babies, and maternal and infant mortality. Anemia in pregnant women is generally caused by deficiencies in iron, folic acid, and vitamin B12. This community service activity aims to educate the public about preventing anemia among pregnant women, conducted at the Dahlia Posyandu in the working area of Puskesmas Ariodillah Palembang. The activities include outreach on the signs, symptoms, causes, and prevention of anemia, as well as hemoglobin (Hb) level examinations for early detection of anemia. The methods used are interactive socialization and health examinations, involving posyandu cadres and the surrounding community. The examination results indicate that no pregnant women were found to be anemic, and participants’ knowledge of anemia increased by 95% after attending the outreach. This activity is expected to raise public awareness of the importance of anemia prevention and health during pregnancy. Recommendations for follow-up programs include ongoing education, improving access to health services, and attention to the health of the elderly in the area.
Pemberdayaan Masyarakat dalam Penerapan PHBS untuk Pengendalian Jentik Nyamuk Aedes Aegypti di Kelurahan Sungai Pangeran
Authors: Hendawati Hendawati  , Haryyan Lukita  , Husnul Khotimah  , Gabryella Fatima Simanjuntak  , Tsaqila Nibras Qaulan , Estu Aulia
Published: December 2024

Dengue Hemorrhagic Fever (DHF) is a contagious disease caused by the Aedes aegypti mosquito, commonly found in Indonesia, particularly in areas with poor environmental sanitation. The implementation of Clean and Healthy Living Behavior (PHBS) is one of the effective strategies for controlling mosquito vectors and preventing DHF. This community service activity aims to improve public understanding and participation in the application of PHBS in Sungai Pangeran Village, Palembang, through counseling, training of Larvae Monitoring Officers (Jumantik), and community clean-up activities with the 3M Plus Movement (Draining, Closing, Burying, and additional measures). The results showed a significant increase in public knowledge about PHBS and active participation in mosquito larvae monitoring. The training of Jumantik created cadres capable of performing independent monitoring, and the community clean-up activities reduced potential mosquito breeding sites by 60%. Monitoring also showed a 35% decrease in DHF cases after the program. This activity has proven effective in raising public awareness and reducing vector-borne disease risks in the local environment. However, continued monitoring and support from local governments are needed to sustain the program.
Pendampingan Bendahara Sekolah di Lingkungan “Yayasan XXX Cabang Kota Jayapura” dalam Melatih Penyusunan Laporan Keuangan Nir Laba sesuai ISAK 35 Berbasis Microsoft MS Excel 2019
Authors: Muthmainnah Muthmainnah  , Fahrudin Pasolo  , Mukti Stoffel  , M. Ridwansyah Pasolo  , Ismail Noy
Published: December 2024

Public sector Financial Reporting has undergone changes in the standards used. Currently, ISAK 35 has been determined as a replacement for PSAK 45 which is oriented to the Non-Profit Entity Consortium Report. The XXX Foundation Jayapura City Branch is promoting computerization of financial reporting through MS Excel 2019. For this purpose, this community service is carried out to school principals and school treasurers (daily and BOS) in order to be able to produce computerized-based financial reports in accordance with ISAK 35 as a form of financial accountability and transparency within the XXX Foundation Jayapura City Branch. The results show that the Preparation of School Financial Statements through MS Excel 2019 Media has succeeded in achieving its main goal, which is to increase participants' understanding of ISAK 35 accounting standards and their practical application in compiling financial statements using MS Excel. This activity contributes in the form of increasing transparency and accountability in the preparation of reports, improving participants' ability to understand and implement accounting standards, and increasing public trust and supporting the school's operational and strategic success.
Skrining Kadar Gula Darah Puasa dalam Upaya Pencegahan Neuropati Diabetik pada Kelompok Usia Lanjut
Authors: Sim Alfred Sutrisno , Santoso Alexander Halim , Kusuma Kanaya Fide , Putra Muhammad Dzakwan Dwi , Destra Edwin
Published: December 2024

Neuropati diabetik merupakan komplikasi kronis yang sering dialami oleh individu dengan diabetes, terutama pada kelompok usia lanjut, dan disebabkan oleh kadar glukosa darah yang tinggi. Edukasi dan skrining gula darah puasa menjadi langkah preventif yang penting untuk mengurangi risiko neuropati. Kegiatan pengabdian masyarakat ini dilaksanakan dengan menggunakan pendekatan Plan-Do-Check-Act (PDCA) untuk melaksanakan edukasi dan skrining gula darah puasa pada lansia. Edukasi mencakup pengenalan faktor risiko neuropati diabetik, penerapan pola hidup sehat, dan deteksi dini melalui skrining gula darah. Hasil: Kegiatan ini melibatkan peserta usia lanjut yang mengikuti sesi edukasi dan pemeriksaan gula darah puasa. Sebagian besar peserta memahami pentingnya menjaga kadar gula darah sebagai upaya pencegahan neuropati. Hasil skrining menunjukkan bahwa edukasi kesehatan terkait gula darah puasa berperan penting dalam meningkatkan kesadaran lansia akan pentingnya pengelolaan glukosa darah. Skrining yang dikombinasikan dengan edukasi memberikan pengetahuan yang mendalam dan mendorong gaya hidup sehat pada kelompok ini. Skrining kadar gula darah puasa efektif dalam mendeteksi risiko neuropati diabetik serta meningkatkan pemahaman lansia tentang pentingnya kontrol gula darah sebagai upaya preventif.
Kesadaran Pengelolaan Limbah B3 Sesuai Peraturan Perundangan
Authors: Jordan Syah Gustav  , Sari Rizqy Kartika , Nurriwanti Nabylla Sharfina Sekar
Published: December 2024

According to legal regulations Republic of Indonesia No. 32 2009 concerning Environmental Protection and Management, it states that waste is the remaining results of activities or businesses whose reprocessing requires more effort and if the storage is not carried out properly it will pollute the environment. Hazardous and toxic waste is classified into three types based on its nature: liquid waste, solid waste, and gas waste. According regulations No. 74, 2001 concerning the Processing of Hazardous and toxic Materials, Hazardous and toxic Waste is the remainder of a business and/or activity that contains hazardous and/or toxic materials which due to their nature and/or concentration and/or quantity, either directly or indirectly, can pollute and/or damage the environment, and can endanger the environment. The implementation of Community Service activity focus on increase Awareness of Hazardous and toxic Waste Management in accordance with laws and regulations, To store and manage Hazardous and toxic Waste in the workplace. The implementation of this Community Service activity was carried out online in August 2023 inviting workers and prospective fresh graduates who were interested in fulfilling aspects of Hazardous and toxic waste management. The results of this activity the pre-test and post-test showed that webinar participants, increase in knowledge about Hazardous and toxic waste of 72%. A significant increase in knowledge is expected to improve community behavior regarding Hazardous and toxic waste.
Anomaly Detection in Text Data: A Semi-Supervised Approach Applied to the Portuguese Domain
Authors: Maia Fabio Masaracchia , Costa Anna Helena Reali
Published: December 2024

Anomaly detection, driven by advancements in machine learning and deep learning, has gained significant importance across various fields. However, its application to unstructured textual data, particularly in Portuguese, remains underexplored. In textual analysis, these techniques are crucial for detecting deviations within text collections. This paper investigates state-of-the-art methods for anomaly detection in Portuguese text corpora and introduces a new, flexible loss function designed to enhance detection across different contamination levels. By evaluating these methods on benchmark datasets, specifically in the contexts of hate speech detection and sentiment analysis, we address existing challenges and contribute to the development of more effective anomaly detection techniques for Portuguese text data.
Identificação de aspectos explícitos e implícitos em críticas gastronômicas em português: avaliando o potencial dos LLMs
Authors: Silva Luiz H. N. , Seno Eloize R. M. , Rebechi Rozane R. , Caseli Helena M. , Rocha Júnior Fabiano M. , Faller Guilherme A.
Published: December 2024

A identificação de aspectos é uma etapa fundamental da Análise de Sentimentos Baseada em Aspectos (ASBA) que consiste em detectar os aspectos alvos de opinião em avaliações de produtos ou serviços publicadas nas mídias sociais. Enquanto existem vários estudos focados na detecção de aspectos na língua inglesa, para o portugues há poucos trabalhos na área e os LLMs praticamente não têm sido explorados. Dado esse contexto, esta pesquisa investigou o potencial de uso de LLMs na identificação de aspectos em críticas gastronômicas em português.
Modestos e Sustentáveis: O Ajuste Eficiente Beneficia Modelos de Língua de Menor Escala em Português?
Authors: Assis Gabriel , Vasconcelos Arthur , de Azevedo Lívia , Ferro Mariza , Paes Aline
Published: December 2024

Modelos de Língua têm estabelecido novos padrões de desempenho em tarefas textuais. Porém, tais modelos exigem grandes volumes de dados e recursos computacionais intensivos. Este estudo explora o uso de técnicas de Ajuste Fino Eficiente de Parâmetros (PEFT), especificamente LoRA e GreenTrainer, aplicadas a modelos especializados para o portugues, OPT-PTBR e PTT5. Almeja-se avaliar se as técnicas de PEFT mantém o desempenho dos modelos enquanto mitigam os impactos financeiros e ambientais do uso intensivo de recursos, mesmo em modelos menores. Os resultados mostram que o GreenTrainer, particularmente, oferece desempenho competitivo em relação ao Ajuste Fino completo, enquanto reduz significativamente demandas computacionais.
Avaliação de Algoritmos de Clusterização para Agrupamento de Descrições de Produtos em Notas Fiscais Eletrônicas
Authors: de Araújo Jonas Gabriel L. , do Rêgo Thaís G. , Barbosa Yuri de A. M.
Published: December 2024

A nota fiscal eletrônica é essencial para o processo de auditoria fiscal. Este artigo avalia a eficácia de algoritmos de clusterização para agrupar descrições de produtos em notas fiscais eletrônicas, um desafio devido à falta de padronização nos registros. Usando similaridade de strings e ajustes para unidades de medida, foram testados DBSCAN, HDBSCAN, OPTICS e Agglomerative Clustering. As métricas de avaliação incluíram o Coeficiente de Silhueta, Índice de Calinski-Harabasz e a porcentagem de produtos agrupados. O HDBSCAN apresentou o melhor desempenho inicial, e a subclusterização, apesar de melhorar as métricas, introduziu inconsistências nos agrupamentos.
Um Pipeline de Pré-Processamento de Dados Textuais em Português para Análise de Redes Sociais
Authors: dos Santos Livia A. , Coelho Orlando B. , Araujo Renata , Oliveira Ivan Carlos A.
Published: December 2024

O pré-processamento é uma etapa fundamental no processamento de dados textuais, especialmente quando se trabalha com análise de textos, mineração de dados ou aprendizagem de máquina. Em particular, os dados textuais provenientes das redes sociais oferecem desafios ao pré-processamento, principalmente devido a sua estrutura informal. Este artigo apresenta um pipeline compreendendo 9 atividades básicas de processamento para garantia da qualidade e consistência de conjuntos de dados textuais em português brasileiro extraídos de redes sociais. O pipeline foi testado em conjuntos de 8 mil, 20 mil e 60 mil tweets, demonstrando sua eficácia em termos de precisão, redução de ruído e tempo de processamento.
Boosting not so Large Language Models by using Knowledge Graphs and Reinforcement Learning
Authors: Beckhauser William Jones , Fileto Renato
Published: December 2024

Ensuring the viability of large language models (LLMs) in situations requiring data privacy with limited on-premise resources is a significant current challenge. This work investigates how to tackle this challenge using knowledge graphs (KGs) and reinforcement learning (RL) to enhance minor LLMs by reducing non-factual responses and response gaps. We evaluated variations of GPT (4o, 4, and 3.5), Llama2 (7b, 13b, and 70b), and Llama3 (8b and 70b) for multi-label classification and information extraction, with or without KG and RL, and also fine-tuned a BERT model. Llama3 8b combined with KG and RL outperformed all other LLM models, and the fine-tuned BERT model too.
Comparação de Ferramentas para Análise de Sentimentos Aplicada no Contexto Educacional
Authors: Moreira Benjamin G. , Camargo Luiz C. , Pfitscher Ricardo J. , Garcia Tatiana R.
Published: December 2024

Este artigo faz parte de um projeto voltado para combater a evasão em disciplinas de programação no ensino superior brasileiro, utilizando análise de sentimentos combinada com métodos psicopedagógicos e técnicas de Processamento de Linguagem Natural (PLN). A presente pesquisa compara a eficácia de três ferramentas automatizadas de extração de sentimentos, duas baseadas em Large Language Models (LLMs) e um analisador léxico, usando uma base de 540 respostas de estudantes.
Classificação de Notícias em Português Utilizando Modelos Baseados em Transferência de Aprendizagem e Transformers
Authors: Narde Wagner , Mendanha João , Barbosa Henrique , Coelho Frederico , Santos Bruno , Torres Luiz
Published: December 2024

Fake news se espalha mais rápido em algumas redes sociais do que notícias regulares, o que pode ter diferentes consequências, desde influências nos resultados eleitorais até mortes devido a tratamentos incorretos de doenças. Este trabalho tem como objetivo empregar métodos baseados em aprendizado por transferência e modelos de aprendizado de máquina baseados em Transformers para classificar a veracidade de tweets na língua portuguesa (Brasil pt-BR). Para isso, foi criada uma base de dados confiável e rotulada, aberta para acesso gratuito. O conjunto de dados relaciona postagens extraídas do X (anteriormente conhecido como Twitter) e sua proximidade com fatos ou informações falsas. Subsequentemente, cinco modelos Transformer foram treinados em português. O modelo BERT ajustado, inicializado com pré-treinamento em textos em português, alcançou um desempenho superior, obtendo uma acurácia de 95.1%.
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers
Authors: Bueno Mirelle , de Oliveira E. Seiti , Nogueira Rodrigo , Lotufo Roberto , Pereira Jayr
Published: December 2024

We present Quati, a dataset specifically designed for evaluating Information Retrieval (IR) systems for the Brazilian Portuguese language. It comprises a collection of queries formulated by native speakers and a curated set of documents sourced from a selection of frequently accessed Brazilian Portuguese websites, which ensures a representative and relevant corpus. To label the query–document pairs, we use a state-of-the-art LLM, which shows inter-annotator agreement levels comparable to human performance in our assessments. Our annotation methodology is described, enabling the cost-effective creation of similar datasets for other languages, with an arbitrary number of labeled documents per query. As a baseline, we evaluate a diverse range of open-source and commercial retrievers. Quati is publicly available at https://huggingface.co/datasets/unicamp-dl/quati, and all scripts at https://github.com/unicamp-dl/quati.
Mineração de Argumentos em Textos de Redes Sociais no Idioma Português
Authors: do Santos Vitor Domingos Baldoino , dos Santos Livia Alabarse , Coelho Orlando B. , de Araujo Renata Mendes , de Oliveira Ivan Carlos Alcântara
Published: December 2024

Este artigo apresenta os desafios e os avanços de pesquisa voltada à construção de soluções computacionais capazes de apoiar o entendimento do debate em redes sociais no idioma português. Uma das bases fundamentais dessas soluções é a aplicação de técnicas de Mineração de Argumentos. Apresentamos as estratégias utilizadas para o endereçamento de desafios da mineração de argumentos em redes sociais, em particular, o uso de deep learning. Os resultados obtidos demonstram boa eficácia dos modelos selecionados para as tarefas consideradas, tendo atingido um F1-Score de 0,85 para a análise de sentimento, 0,97 na detecção de posição e 0,76 na detecção de ironia.
A Hybrid Machine Learning Method to Author Name Disambiguation
Authors: Rodrigues Natan S. , Ralha Celia G.
Published: December 2024

Digital bibliographic repositories, including publications, authors, and research fields are essential for sharing scientific information. Nevertheless, the information retrieval, extraction, and classification efficiency in such archives is threatened by author name ambiguity. This paper addresses the Author Name Disambiguation (AND) problem by proposing a hybrid machine learning method integrating Bidirectional Encoder Representations from Transformers (BERT), Graph Convolutional Network (GCN), and Graph Enhanced Hierarchical Agglomerative Clustering (GHAC) approaches. The BERT model extracts textual data from scientific documents, the GCN structures global data from academic graphs, and GHAC considers heterogeneous networks’ global context to identify scientific collaboration patterns. We compare the hybrid method with AND state-of-the-art work using a publicly accessible data set consisting of 7,886 documents, 137 unique authors, and 14 groups of ambiguous authors, along with recognized validation metrics. The results achieved a high precision score of 93.8%, recall of 96.3%, F1-measure of 95%, Average Cluster Purity (ACP) of 96.5%, Average Author Purity (AAP) of 97.4% and K-Metric of 96.9%. Compared to the AND baseline approach, the hybrid method presents better results indicating a promising approach.
No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts
Authors: Fama Israel , Bueno Bárbara , Alcoforado Alexandre , Ferraz Thomas Palmeira , Moya Arnold , Costa Anna Helena Reali
Published: December 2024

In a context where the Brazilian judiciary system, the largest in the world, faces a crisis due to the slow processing of millions of cases, it becomes imperative to develop efficient methods for analyzing legal texts. We introduce uBERT, a hybrid model that combines Transformer and Recurrent Neural Network architectures to effectively handle long legal texts. Our approach processes the full text regardless of its length while maintaining reasonable computational overhead. Our experiments demonstrate that uBERT achieves superior performance compared to BERT+LSTM when overlapping input is used and is significantly faster than ULMFiT for processing long legal documents.
Brazilian Consumer Protection Code: a methodology for a dataset to Question-Answer (QA) Models
Authors: Athaydes Aline , Bulcao Lucas Krug , Sacramento Caio , Mane Babacar , Claro Daniela Barreiro , Souza Marlo , Pita Robespierre
Published: December 2024

This work introduces the methodology for building a new dataset based onthe Brazilian Consumer Protection Code (CDC), focusing on question-answer (QA) models. The dataset collected legal data, including CDC articles, legal summaries, and court rulings from the Superior Court of Justice (STJ). Automated data extraction techniques using Python were employed, and advanced language models such as Llama3-8b-8192, Gemma2-9b-it, and GPT-4o-mini were used to generate question-answer (QA) structures. This work presents our methodology for creating such a dataset to be used by language models for training in the legal domain, particularly in the CDC domain.
Breaking the conspiracy of silence:
Authors: Oyebode Oluwabunmi
Published: December 2024

This paper explores discursive strategies Nigerian victims of rape deploy in narrating their traumatic experiences. Data for the study comprise purposively selected online narratives of two major Nigerian rape victims circulated on Pulse.ng and Nairaland in 2018 and 2019 respectively. The data are analysed qualitatively using van Leeuwen’s social actors’ model, a framework that describes how participants of social practices are represented in discourse. The analysis reveals that the rape survivors deployed different mechanisms of representation of social actors, such as nomination, categorisation, beneficialisation, and honorification in their narratives to assert themselves, construct power, expose perpetrators and contest specific institutionalised forces that suppress them. These are done to challenge repressive traditions thus, breaking the culture of silence and revealing the dynamic nature rape discourse is assuming in Nigeria. The paper concludes that the discursive strategies highlighted in the selected narratives evince self-representations of rape victimhood.
К разработке образовательной программы по профилю «Маркетинг»
Authors: Н.Ю. Иванов , М.П. Цынзак , О.А. Винокурова , Н.Ю. Багаева
Published: December 2024

целью исследования является обоснование подходов к разработке образовательных программ по маркетингу, выделение направленности и профиля маркетинга в структуре программы, создание идеальной картины, на основе которой можно разрабатывать полноценные, частичные и/или тематические образовательные программы по маркетингу. Методы: Сопоставление и анализ профстандартов и стандартов поколения 3+ и 3++ в оценке вероятности организации маркетингового образования в системе бакалавриата и дополнительного образования. Результаты (Findings): Определена необходимость создания единой программы по курсу «Маркетинга» в рамках освоении профессиональной компетенции при решении типа организационно-управленческой задачи, которая должна стать базовой дисциплиной для других направлений подготовки. Выявлено, что отраслевые и национально-региональные компоненты по выбору обучающегося должны быть широко представлены элективными и факультативными дисциплинами, исходя из наличия учебного материала в такой направленности как нейромаркетинг. Выводы: Научно-методическое обоснование и умозаключения могут быть использованы при выработке требуемой мировоззренческой позиции, способствующей разработке профиля «Маркетинг» с учетом особенностей развития маркетинга на современном этапе.

the purpose of the study is to substantiate approaches to the development of educational programs in marketing, to highlight the orientation and profile of marketing in the structure of the program, to create an ideal picture on the basis of which it is possible to develop full-fledged, partial and/ or thematic educational programs in marketing. Methods: Comparison and analysis of professional standards and education standards of 3+ and 3++ in assessing the likelihood of organizing marketing education in the bachelor's and additional education system. Findings: The necessity of creating a unified program for the course "Marketing" within the framework of mastering professional competence in solving the type of organizational and managerial task, which should become a basic discipline for other areas of training, is determined. It is revealed that the sectoral and national-regional components of the student's choice should be widely represented by elective and optional disciplines, based on the availability of educational material in such a focus as neuromarketing. Conclusions: The scientific and methodological justification and the conclusions given in the article should be used in developing the necessary worldview that will help develop the "Marketing" profile at the current stage of marketing development for all.
Инкотермс в торгово-экономическом сотрудничестве России и Вьетнама: трудности и решения
Authors: Х.А. Ле , А.Т. Лыу , Б.Т. Чан , Д.Т. Ле
Published: December 2024

целью исследования является анализ использования Инкотермс в торгово-экономическом сотрудничестве между Россией и Вьетнамом, а также выявление трудностей, с которыми сталкиваются обе стороны. Методы: в исследовании применяются методы анализа торговых и логистических процессов, а также сравнительный анализ юридических и финансовых барьеров, связанных с использованием Инкотермс. Результаты (Findings): в исследовании выявлены основные проблемы, включая юридические различия, таможенные процедуры, финансовые ограничения (SWIFT), а также логистические вызовы. Предложены решения, такие как расчеты в национальных валютах, альтернативные логистические маршруты и гибкие условия Инкотермс. Выводы: предложенные решения позволят минимизировать риски и упростить торговые операции между Россией и Вьетнамом в условиях текущей геополитической ситуации, что может способствовать укреплению двусторонних экономических связей.

the purpose of the study is to analyze the use of Incoterms in trade and economic cooperation between Russia and Vietnam, as well as to identify the difficulties encountered by both parties. Methods: the study uses methods for analyzing trade and logistics processes, as well as a comparative analysis of legal and financial barriers associated with the use of Incoterms. Findings: the study identified key issues, including legal differences, customs procedures, financial restrictions (SWIFT), and logistical challenges. Solutions are proposed, such as settlements in national currencies, alternative logistics routes, and flexible Incoterms. Conclusions: The proposed solutions will minimize risks and simplify trade operations between Russia and Vietnam in the current geopolitical situation, which can contribute to strengthening bilateral economic ties.
Espiye İlçesindeki Bireylerin Ekoturizm Algılarının Yaşam Kalitesi Üzerindeki Etkisinin İncelenmesi
Authors: Cebeci Onur , Kızılkan Yusuf
Published: December 2024

Ekoturizm, doğal ve kültürel değerlerin korunmasını sağlayan, turizm türlerinden biridir. Koruma süreçlerinin yanı sıra yerel ekonomilerin yönetilmesi ve yönetilen çevre bilincinin kazandırılması gibi hedeflerle öne çıkan ekoturizm, günümüzde giderek daha fazla ilgi görmektedir. Geleneksel turizm faaliyetlerinden farklı olarak ekoturizm, sürdürülebilirlik planlarını ön planda tutarak, öncelikle yerel ekonomiyi destekleyerek halkın gelir kaynaklarını çeşitlendirir. Ekoturizm faaliyetleri sayesinde yerel halk, konaklama, yiyecek-içecek hizmetleri ve el sanatları gibi çeşitli alanlarda çalışma imkanı bulur. Bu durum, özellikle kırsal gelişmeye yönelik katkı sunabilmektedir. Espiye ilçesi, taşıdığı doğal kaynaklar bakımından ekoturizm ögeleri ile insanların turizm tercihlerine ve yaşam kalitelerine yön verebilmektedir. Bu kapsamda araştırmada Espiye ilçesindeki doğal ve beşeri coğrafi faktörlerin etkisi ile gelişen ekoturizm değerlerinin yaşam memnuniyetleri ilişkisi içinde değerlendirilmesi amaçlanmıştır.
Yapılan bu çalışmada Espiye ilçesinde örneklem olarak seçilen 398 kişiye ekoturizm ve yaşam memnuniyeti anketleri uygulanmıştır. 398 kişinin ölçekte vermiş olduğu cevaplar SPSS programında (Pearson korelasyon testi, bağımsız gruplar t testi, Tek yönlü ANOVA testleri) analiz edilmiştir. Böylece yerel halkın ekoturizme karşı algılarının yaşam memnuniyetine etkisinin ne yönde olduğuna dair bulgular elde edilmiştir. Yapılan analiz sonuçlarına göre, Espiye ilçesinin ekoturizm faaliyetlerine uygunluğunun yerel halk tarafından yüksek değerlendirildiği ve bu alandaki ekoturizm uygulamalarının yaşam memnuniyetini önemli ölçüde artırabileceği tespit edilmiştir.
Physicochemical and Microbiological Stability of Ursodiol Oral Compounded Suspensions
Authors: Ip Kendice , Davis Courtaney , Iqbal Zainab , McCarthy Jennifer , White Andrea , Day A. J. , Urwin Craig , Carvalho Maria
Published: December 2024

OBJECTIVE

In the United States, ursodiol is commercially available as solid dosage forms, which represents a problem for children who cannot swallow capsules or tablets. There is a lack of an age-appropriate formulation for ursodiol, and the extemporaneous preparation of an oral suspension with an extended beyond-use-date (BUD) may represent a good therapeutic alternative for the pediatric population. However, all pharmacists need validated stability studies to prepare oral liquids with high quality and safety.

METHODS

Oral compounded suspensions for ursodiol 20 to 60 mg/mL were prepared by adding the contents of ursodiol 300-mg commercial capsules (Actavis, KVK Tech, and Mylan) to a proprietary oral suspending vehicle. The BUD of the oral compounded suspensions was determined by using a valid, stability-indicating analytical method. The physical characterization consisted of observing all samples for appearance and color, and testing for pH. Microbiological stability testing followed the United States Pharmacopeia (USP) Chapter 51: Antimicrobial Effectiveness Testing.

RESULTS

The ursodiol oral compounded suspensions exhibited a homogeneous white color and the pH did not change significantly. The potency of the oral suspensions remained within ±10% of the specifications. Considering the microbiological characterization, there was no growth of challenge microorganisms throughout the study for all samples.

CONCLUSION

This study demonstrates that ursodiol (Actavis, KVK Tech, and Mylan) is physically, chemically, and microbiologically stable in the oral suspending vehicle at room temperature for up to 6 months.
Safety of Short-Term Parenteral Nutrition Administration Through Umbilical Artery Catheters in Neonates While in the Neonatal Intensive Care Unit
Authors: Christensen Michael L. , Abbruzese Lucas , Herrera Oscar , Weems Mark F.
Published: December 2024

OBJECTIVE

The use of umbilical artery catheters (UACs) for parenteral nutrition (PN) administration is controversial, and limited data exist on the safety of administration through this route. The objective of this research is to evaluate neonates who received PN through a UAC and assess catheter-related complications and PN composition.

METHODS

This retrospective study evaluated all neonates who received PN through their UAC while admitted in the neonatal intensive care unit between January 2019 and December 2022. Neonates were evaluated for development of catheter-related complications such as infiltration, extravasation, thrombus formation, infection, or hypertension.

RESULTS

The administration of PN through UAC was identified in 31 neonates. Among the 31 neonates, 17 (55%) were classified as preterm, and 15 (48%) were classified as low birth weight. No patient experienced a UAC-related complication. Death occurred among 7 (23%) neonates. Two deaths occurred while the neonates were receiving PN via the UAC, but neither death was attributed to UAC complications. In 19 (61%) of the 31 neonates, osmolarity of PN exceeded 900 mOsm/L.

CONCLUSIONS

Results of this study suggest that UACs may serve as a safe route for PN administration in neonates. The absence of catheter-related complications and the absence of adverse events support the safety of this approach. Further research with a larger sample size and rigorous study design is warranted to validate these findings and establish guidelines for the use of UACs in PN administration.