bluuebunny/crossref_metadata_2025 huggingface dataset:
ASPECTOS DA SUPLEMENTAÇÃO COM MIO-INOSITOL NA DIABETES MELLITUS GESTACIONAL: UMA REVISÃO INTEGRATIVA
Authors: Vasconcelos Julie Antunes de , Fukushima André Rinaldi , Nicoletti Maria Aparecida
Published: January 2025

A Diabetes Mellitus Gestacional (DMG) é uma das complicações mais frequentes da gravidez, podendo ocorrer com qualquer mulher e apresentar-se de forma assintomática. Essa condição metabólica é caracterizada pelo aumento da resistência à insulina causada pelos hormônios gestacionais. Hiperglicemia e desenvolvimento de Diabetes Mellitus tipo 2 tardia são alguns dos riscos adversos associados à doença que podem afetar tanto a mãe, como o feto. Por isso, é importante que seja realizado diagnóstico precoce e tratamento apropriado. Das estratégias para a manutenção da DMG, a primeira recomendação é a mudança no estilo de vida e a dieta da mãe, seguido por terapias farmacológicas, caso a intervenção não-farmacológica seja insuficiente. No entanto, nenhuma dessas práticas provou ter resultados positivos no longo prazo até o momento. A suplementação com mio-inositol se mostra promissora no controle da DMG. O poliol cíclico possui ação semelhante ao da insulina e favorece a homeostase da glicose, sem causar os mesmos efeitos adversos dos anti-hiperglicêmicos orais. Desse modo, esse suplemento aparece como uma terapia inovadora e emergente, impactando positivamente na qualidade de vida da mãe e do feto.
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE SOLUTIONS IN THE BRAZILIAN PUBLIC SECTOR: CHALLENGES AND OPPORTUNITIES
Authors: Jankovski Bruno Sampaio , Zola Fernanda Cavicchioli , Meneghel Genizis Vinicius Gonçalves , Zarelli Paula Regina
Published: January 2025

Artificial Intelligence (AI) has been gaining prominence in the Brazilian public sector, with the promise of improving the efficiency and quality of government services. However, the successful implementation of AI faces challenges, including complex regulation, a lack of adequate technological infrastructure, a shortage of qualified AI professionals, and organizational culture resistance. This article aims to provide clear and practical recommendations for overcoming the challenges faced in implementing Artificial Intelligence in the Brazilian public sector, to promote a more effective and efficient public administration. To this end, the main obstacles encountered in the implementation of AI in the Brazilian government were analyzed, and success stories that demonstrate how these challenges were overcome were reviewed. Based on this research, practical and actionable recommendations were drawn to guide future initiatives to implement AI in the public sector.
Smart ASN Character Building of Forest Ecosystem Control Functional Officials Through Functional Training Ministry of Environment and Forestry
Authors: Siti Maryam
Published: January 2025

Forest ecosystem control functional officials (PF PEH) are required to have an ASN character that can adapt to the times and be able to serve the community around the forest well. This study aims to shape the character of Smart ASN PF PEH First Expert in functional training. The study was conducted qualitatively with a literature study by analyzing training subjects that have Smart ASN values. The formation of Smart ASN character in task insight training subjects are the values of nationalism, friendliness, integrity, networking and entrepreneurship. The training course on the implementation of forest ecosystem control contains the values of global insight and IT mastery, whereas forest ecosystem control development training subjects contain the values of IT mastery. Mastery of foreign language values in Smart ASN is shown in the requirements for participants with undergraduate or diploma IV qualifications. Furthermore, these functional officials are also expected to continue improving soft skills to support hard skills in these aspects of Smart ASN.
EWING'S SARCOMA OF THE MANDIBLE IN A 6-YEAR-OLD GIRL: A RARE CASE REPORT AND LITERATURE REVIEW
Authors:   UNIVERSITY CLINIC OF ORAL AND MAXILLOFACIAL SURGERY, DENTAL SCHOOL, ATHENS GENERAL CHILDREN’S HOSPITAL “P. & AGLAIA KYRIAKOU”, GOUTZANIS LAMPROS , SVANIAS KRITONAS-PANAGIOTIS , STRANTZIAS PASCHALIS , KASVIKIS IOANNIS , BELLOU OLGA , THEOLOGIE-LYGIDAKIS NADIA
Published: January 2025

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PRANAMIKA
Authors:   Computer Science and Engineering & Presidency University, Bengaluru., Hugar Vijeth M
Published: January 2025

The efficient execution of government schemes is crucial for the welfare of citizens. Programs such as AADHAR, public health initiatives, welfare schemes, and various social services rely heavily on the integrity and effectiveness of local government officials. However, in many cases, public servants fail to fulfill their duties due to negligence, rudeness, dishonesty, and even indulge in corrupt practices like bribery. These shortcomings undermine the success of important government initiatives, erode public trust, and diminish the overall quality of service delivery. To address these challenges, we have developed Pranamika, a digital platform that allows citizens to rate and review the performance of local government officials. This innovative solution aims to enhance transparency, accountability, and overall governance by making these ratings and reviews publicly accessible.

KeyWords: Transparency,Accountability,Governance,Performa nce1
AI and Machine Learning in The Cloud: This Involves Using AI and Machine Learning in Cloud Computing
Authors:   Department of computer science & Engineering  Bikaner Technical University, Bikaner, Purohit Abhishek
Published: January 2025

Artificial intelligence (AI) and machine learning (ML) have emerged as disruptive technologies that are redefining cloud computing. The incorporation of AI and machine learning into cloud platforms improves productivity, scalability, and flexibility, allowing organizations to handle massive amounts of data and make intelligent choices in real time. This study investigates the symbiotic relationship between AI/ML and cloud computing, focusing on how cloud architecture provides the computational capacity needed for AI and ML models while AI improves cloud resource allocation. The article discusses key breakthroughs such as AI-driven automation in cloud operations, predictive analytics, and intelligent application deployment. The report emphasizes the democratization of AI capabilities via cloud services, which make them available to small and medium-sized organizations (SMEs) without requiring considerable infrastructure investment. It also investigates the security hurdles, ethical concerns, and compliance issues that come with data-intensive AI systems on the cloud. Real-world applications include AI-powered recommendation systems, fraud detection, and tailored consumer experiences, demonstrating the strength of this synergy.

The report indicates that incorporating AI and ML into cloud computing is critical for expanding technological landscapes, driving creativity, and helping enterprises to remain competitive. However, addressing data privacy, ethical AI usage, and fair access to cloud-based AI resources are crucial for long-term progress. This study provides insights for researchers and practitioners on leveraging AI/ML in the cloud to meet evolving technological and business needs.
Virtual Pointer Using Mouseless Navigation
Authors:   SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, Patel Khushi
Published: January 2025

Abstract—

Technology advancements have made it possible for computers to be included into portable electronics like cell phones and laptops. The standard QWERTY keyboard, however, continues to be the principal input method. In this research, a virtual keyboard application that creates a visual representation of a keyboard using image processing is proposed. The camera will be used to record hand motions as typing inputs, making the virtual keyboard usable and accessible. The creation of a virtual mouse that recognises fingers as inputs follows the same principle. To operate the mouse, hand motions will be captured by the camera. By utilizing the camera to retrieve a picture of a keyboard or mouse and record the typing and mouse motions, a virtual keyboard and mouse will be generated.

Index Terms—Human Computer Interaction; Web-Camera; Gesture Recognition.
NGHIÊN CỨU GIÁ TRỊ CỦA SIÊU ÂM ĐÀN HỒI MÔ ĐỊNH LƯỢNG NHÂN ĐẶC TRONG CHẨN ĐOÁN UNG THƯ TUYẾN GIÁP
Authors: Hoàng Nguyên Tài , Nguyễn Xuân Hiền , Lê Văn khánh
Published: January 2025

Mục tiêu: Đánh giá giá trị của siêu âm đàn hồi mô định lượng trong chẩn đoán nhân đặc tuyến giáp, bao gồm giá trị Cut – off, độ nhạy và độ đặc hiệu
Đối tượng và phương pháp nghiên cứu: 135 nhân giáp trên 130 bệnh nhân được xác nhận bởi kết quả giải phẫu bệnh, có kết quả siêu âm đàn hồi định lượng ở Bệnh viện Tâm Anh từ  4/2022 đến 11/2023. Các chỉ số được sử dụng: Độ cứng chân giáp và mô giáp lành. Độ chính xác của siêu âm đàn hồi mô định lượng được xác định bằng dựng đường cong ROC
Kết quả: Tuổi trung bình của bệnh nhân là 49 ±12. Độ cứng trung bình của nhân ác tính và lành tính lần lượt là  là 47,7 ±  2,7kPa và 24,9 ±  1,3 kPa, sự khác biệt có ý nghĩa thống kê với p<0,01. Giá trị cut -off của độ cứng trung bình là 36,5 Kpa tương ứng với độ nhạy và độ đặc hiệu là 82% và 84,7%. Giá trị cut – off của tỉ số đàn hồi (elasto ratio) là 1,75 cho độ nhạy và độ đặc hiệu là 84% và 78,8% trong phân biệt nhân lành tính và ác tính
Kết luận: Siêu âm đàn hồi mô định lượng tuyến giáp là phương tiện không xâm lấn có giá trị cao trong phân biệt nhân đặc tuyến giáp lành tính và ác tính
Từ khóa: Nhân đặc tuyến giáp, siêu âm đàn hồi mô tuyến giáp, chỉ số tỉ số đàn hồi (elasto ratio)
Đánh giá đặc điểm hình ảnh viêm cơ tim cấp trên máy cộng hưởng từ 3T tại Bệnh viện Bạch Mai
Authors: Nguyễn Ngọc Tráng , Nguyễn Khôi Việt , Nguyễn Thị Huyền , Vũ Đăng Lưu , Lê Thị thùy Liên
Published: January 2025

Tóm tắt: (1) Đặt vấn đề: Viêm cơ tim cấp (VCTC) là một bệnh cảnh lâm sàng không đặc hiệu. Chẩn đoán lâm sàng và cận lâm sàng viêm cơ tim cấp gồm nhiều tiêu chí khác nhau trong đó chụp cộng hưởng từ tim (MRI tim) có sử dụng tiêu chuẩn Lake Loiuse 2018 mở rộng là một công cụ hữu ích để chẩn đoán viêm cơ tim. (2) Mục tiêu: Đánh giá một cách có hệ thống các thông số hình ảnh MRI tim không xâm lấn trong viêm cơ tim cấp. (3) Phương pháp nghiên cứu: 45 bệnh nhân nghi ngờ VCTC trên lâm sàng được chụp MRI tim. Bệnh nhân khởi phát triệu chứng từ 1 ngày đến 6 tuần. Chụp MRI tim bao gồm các chuỗi xung đánh giá hình thái, chức năng, hình ảnh ngấm thuốc đối quang từ muộn (LGE) và các thông số mapping (T2 mapping, T1mapping trước tiêm và ECV). (4) Kết quả: Có 45 bệnh nhân nghi ngờ VCTC trên lâm sàng (tuổi trung bình 31,4±11,4 (14-68); 26,7% là nữ) đã được nghiên cứu. Thời gian khởi phát triệu chứng là 6,5±5,9 (1-18) ngày. Thời gian T1 mapping trung bình: 1305,0 ±127,2ms; T2 mapping: 54,07± 10,95ms, ECV: 41,18 ±18,40%, LGE: 75,55%. Độ nhạy của các chuỗi xung:  T1 mapping: 97,8%,  T2 mapping: 97,8%, ECV: 95,6%, LGE: 75,55%, Lake Louise: 76,5%. Các tổn thương ngấm thuốc muộn (LGE) chủ yếu dạng mảng (52,9%) nằm ở phần dưới ngoại mạc (76.4%) của thành dưới bên vị trí đáy tim (44.4%). Có sự tương quan thuận trung bình giữa T1 mapping và Troponin T (k=0.452, p=0.006) và giữa T2 mapping với NT-proBNP (k=0.546,p=0.02). Sự đồng thuận cao trong đánh giá vận động vùng trên siêu âm và MRI tim (k=0.789) (5) Kết luận: MRI tim là phương pháp toàn diện cho phép chẩn đoán đáng tin cậy các trường hợp nghi ngờ VCTC trên lâm sàng. Trong số đó, LGE đơn thuần hoặc kết hợp với bản đồ T1, bản đồ T2, ECV là những chuỗi xung hữu ích nhất để chẩn đoán VCTC.
Từ khóa: Viêm cơ tim cấp, Cộng hưởng từ tim 3-Tesla, Tiêu chuẩn Lake Louise 2018
GIÁ TRỊ CỘNG HƯỞNG TỪ THƯỜNG QUY VÀ KHUẾCH TÁN TRONG DỰ BÁO ĐỘ MÔ HỌC CỦA U MÀNG NÃO
Authors: Lê Văn Phước , Ông Thị Thảo Như , Hà Thị Bích Trâm
Published: January 2025

Đặt vấn đề: U màng não là u nguyên phát thường gặp nhất ở hệ thần kinh trung ương. Việc phân độ u màng não rất quan trọng trong việc điều trị và tiên lượng.
Mục tiêu: Xác định giá trị kĩ thuật cộng hưởng từ thường quy và cộng hưởng từ khuếch tán trong phân độ mô học u màng não.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang, khảo sát cộng hưởng từ thường quy và khuếch tán ở 92 bệnh nhân có kết quả mô bệnh học sau phẫu thuật là u màng não tại bệnh viện Chợ Rẫy. Mối tương quan giữa các đặc điểm trên CHT thường quy và khuếch tán được phân tích thông qua hồi quy đa biến và đơn biến, tìm ngưỡng cắt tối ưu của hệ số khuếch tán biển kiến để phân biệt các nhóm u màng não bằng đường cong ROC.
Kết quả: Ranh giới không rõ và có xâm lấn xương là những yếu tố có ý nghĩa thống kê đến việc dự báo độ mô học của u màng não trên cộng hưởng từ thường quy, với OR lần lượt là 9,0 và 4,1 (p <0,05), khả năng dự đoán đúng độ mô học là 85,7%, độ nhạy là 66,7% và độ đặc hiệu là 90,4%,. Với điểm cắt ADC là 0,721 x10^-3 mm2/s, kỹ thuật DWI có độ nhạy 90,5%, độ đặc hiệu 72,2%, AUC=0,84; độ chính xác 86,9%. p < 0,001.
Kết luận: CHT khuếch tán có độ nhạy cao hơn và độ chính xác cao hơn CHT thường quy trong dự báo độ mô học u màng não.
ỨNG DỤNG TIÊU CHUẨN KINKI TRONG PHÂN CHIA DƯỚI NHÓM UNG THƯ BIỂU MÔ TẾ BÀO GAN GIAI ĐOẠN TRUNG GIAN
Authors: Nguyễn Thị Thu Huyền , Nguyễn Anh Tuấn , Lê Trọng Bỉnh
Published: January 2025

Mục tiêu: Ứng dụng tiêu chuẩn Kinki trong phân giai đoạn ung thư biểu mô tế bào gan (UTBMTBG) giai đoạn trung gian. Đối tượng và phương pháp nghiên cứu: 109 bệnh nhân UTBMTBG giai đoạn trung gian tại Bệnh viện trường Đại học Y-Dược Huế và Bệnh viện Trung ương Huế từ 01/2022 đến 08/2023. Chẩn đoán UTBMTBG theo hướng dẫn của Bộ Y tế 2020. Phân giai đoạn trung gian theo BCLC 2012. Phân loại dưới nhóm UTBMTBG giai đoạn trung gian theo tiêu chuẩn Kinki. Đối chiếu chỉ định điều trị trên lâm sàng và theo khuyến cáo của BCLC và tiêu chuẩn Kinki.
Kết quả: Tuổi trung bình: 64,2 ± 13 tuổi, nam/nữ: 7/1. Kích thước u trung bình: 8,9 ± 3,6 cm. Phân dưới nhóm 109 bệnh nhân UTBMTBG giai đoạn trung gian (BCLC-B) theo tiêu chuẩn Kinki như sau: B1 n=21 (19,3%), B2 n=76 (69,7%), B3 n=12 (11%) trong đó B3a n=2 (1,8%), B3b n=10 (9,2%). Chỉ định điều trị trên thực tế lâm sàng bao gồm TACE (47,7%), phẫu thuật (22%), hóa trị (18,3%), nội khoa (9,2%), RFA (2,8%). Có 52,3% chỉ định điều trị nằm ngoài khuyến cáo BCLC 2012. Đối chiếu chỉ định điều trị trên lâm sàng và khuyến cáo của tiêu chuẩn Kinki nhận thấy: 100% bệnh nhân dưới nhóm B1; 76,4% bệnh nhân dưới nhóm B2 và 66,7% bệnh nhân dưới nhóm B3 có chỉ định điều trị trên thực tế tương ứng với khuyến cáo điều trị theo tiêu chuẩn Kinki.
Kết luận: UTBMTBG giai đoạn trung gian không đồng nhất về các đặc điểm hình ảnh và chức năng gan. Chỉ định điều trị UTBMTBG trên thực tế không hoàn toàn giống với khuyến cáo của BCLC 2012. Cần phân loại chi tiết bệnh nhân UTBMTBG giai đoạn trung gian theo tiêu chuẩn Kinki để tối ưu hoá chiến lược điều trị và cải thiện tiên lượng.
Đặc điểm hình ảnh hẹp động mạch nội sọ trên cộng hưởng từ và mối liên quan với một số yếu tố nguy cơ, nguyên nhân của hẹp mạch máu não
Authors: Nguyễn Quang Anh , Trần Xuân Bách , Đỗ Hải Hà , Từ Ngọc
Published: January 2025

Mục tiêu: Nghiên cứu mô tả đặc điểm hẹp động mạch não trên cộng hưởng từ và mối liên quan với một số yếu tố nguy cơ, nguyên nhân của hẹp mạch não.
Phương pháp: Nghiên cứu mô tả cắt ngang, đơn trung tâm, thực hiện trên 104 bệnh nhân có hình ảnh hẹp động mạch nội sọ bằng cộng hưởng từ 3.0 Tesla từ 6/2021 đến tháng 6/2022 tại bệnh viện Bạch Mai, Hà Nội, Việt Nam.
Kết quả: Tuổi trung bình là 64,71 ± 14,08, nhóm tuổi ≥60 chiếm tỷ lệ cao nhất 76%, tỉ lệ nam/nữa ~ 2,58:1. Trong tổng số 104 bệnh nhân nghiên cứu, 27 bệnh nhân (26%) có hẹp từ hai loại động mạch hẹp khác nhau trở lên. Bệnh lý hẹp mạch não thường gặp ở hệ tuần hoàn trước (66.4%), tỉ lệ HTHT:HTHS ~ 2:1. Tổn thương gặp nhiều nhất ở ĐMNG và ĐMCT, chiếm tỉ lệ tương ứng là 33,6% - 29,3%, ĐMNT ít tổn thương nhất (5/140; 3,6%). Ở HTHT, mức độ hẹp vừa chiếm tỉ lệ cao nhất (33,6%; p=0,008), tỉ lệ tắc mạch tương đối cao trên những trường hợp hẹp mạch ở HTHS (38,2%; p=0.409). Tỉ lệ hẹp lệch tâm là nhiều nhất (79/140; 56,4%), theo sau là tắc mạch (39/140, 27,8%), hẹp đồng tâm (22/140; 15,8%) (p=0.135). Trong các yếu tố nguy cơ, THA làm tăng tỉ lệ hẹp mạch 2,840 lần (p = 0,031, CI 95% [1,099;7,340]) và tỉ lệ xơ vữa mạch tỉ lệ xơ vữa mạch lên 3,102 lần (p = 0,012 và CI 95% [1,254;7,675]). Nhóm xơ vữa là nguyên nhân chủ đạo gây hẹp, tắc mạch (0.52%); không xác định rõ nguyên nhân có tỉ lệ cao thứ hai (19.3%), tiếp theo là nguyên nhân co thắt mạch (15%), MoyaMoya (5.7%). Tổn thương nhu mô não có tỉ lệ cao nhất ở trường hợp hẹp, tắc mạch do xơ vữa (74%, p <0.05).
Kết luận: Bệnh lý hẹp mạch não thường gặp ở hệ tuần hoàn trước, chủ yếu gặp ở ĐM cảnh trong và não giữa. Xơ vữa là nguyên nhân thường gặp của hẹp động mạch não ở cả hệ tuần hoàn trước và sau. Tăng huyết áp là yếu tố nguy cơ của hẹp động mạch não.
Từ khóa: hẹp động mạch não, tắc động mạch não, cộng hưởng từ,…
NGHIÊN CỨU ĐẶC ĐIỂM LÂM SÀNG VÀ HÌNH ẢNH CỘNG HƯỞNG TỪ CỦA BỆNH NHÂN ĐÔNG CỨNG KHỚP VAI
Authors: Đàm Thuỷ Trang , Phạm Minh Thông , Phạm Kiều Huyền Trang
Published: January 2025

Mục tiêu: Mô tả đặc điểm hình ảnh của đông cứng khớp vai nguyên phát trên cộng hưởng từ và mối tương quan giữa các đặc điểm này với triệu chứng lâm sàng của bệnh nhân đông cứng khớp vai nguyên phát.
Đối tượng và phương pháp: Nghiên cứu tiến cứu trên 40 BN được chẩn đoán đông cứng khớp vai trên lâm sàng và được chụp cộng hưởng từ khớp vai tại Khoa Chẩn đoán hình ảnh – Bệnh viện E trong khoảng thời gian từ tháng 08/2023 đến 08/2024.
Kết quả: Tổng số 40 BN gồm 21 nữ/19 nam; tuổi trung bình 60,74 (từ 42 đến 88); thời gian bị bệnh trung bình trước khi điều trị là 6,6 tháng (từ 3-18 tháng). Các dấu hiệu trên cộng hưởng từ có giá trị trong chẩn đoán đông cứng khớp vai bao gồm: tăng tín hiệu kèm dày bao hoạt dịch ngách nách, phù nề khoang gian đai xoay, mất tam giác mỡ dưới mỏm quạ, dày dây chằng quạ - cánh tay và dày dây chằng ổ chảo – cánh tay. Các dấu hiệu phù nề khoảng gian đai xoay, dày bao hoạt dịch ngách nách, mất tam giác mỡ dưới mỏm quạ hay gặp ở giai đoạn đầu (I, II) và giảm dần ở giai đoạn sau (III, IV) do liên quan đến tình trạng viêm, thường lan rộng trong giai đoạn đầu của đông cứng khớp vai.
Kết luận: Cộng hưởng từ có vai trò quan trọng trong đánh giá các dấu hiệu lâm sàng và dự đoán các giai đoạn lâm sàng của bệnh đông cứng khớp vai.
Increasing competitive advantage in Binong tourism village with the implementation of digital brand destination
Authors: S.E., M.M Astri Wulandari, , M. Si Riska Aprilina, S.T., , Marcelino, S.A.B., M.M Dandy
Published: January 2025

The potential of Binong Tourism Village is very large with the various knitting products produced and the existing tourist attractions. It is hoped that this potential will be known to the public so that it will increase their interest and interest in visiting Binong Tourism Village. Digital Brand Destination is a strategy to increase branding by utilizing digital media. This research aims to improve the branding of Binong Tourism Village with a Digital Brand Destination strategy which can also be a competitive advantage, and increase tourist experience. The research was carried out in various stages, starting from conducting focus group discussions and interviews with the Binong Tourism Village, then pre-survey, taking photos and videos for marketing content, creating a Digital Marketing Plan, creating a Business Model Canvas, utilizing digital media, using Ads features until later training and mentoring will be held for MSME players there. This research using qualitative and quantitative data. Qualitative data based on interviews with the Binong Tourism Village. Quantitative data was obtained by distributing questionnaires to 100 respondents. The data used is primary data and secondary data. A pre-survey was also carried out to find out the hopes of partners and the general public for developing the potential of Binong Tourism Village in the future. The next step is to create a digital marketing plan by analyzing the advantages, disadvantages, opportunities and challenges of Binong Tourism Village both externally and internally. Furthermore, data and analysis will also be obtained from the Business Capital Canvas. Based on several stages of research that have been carried out, it shows that Binong Tourism Village has great tourism potential, but has not yet maximized the use of digital media as a means of promotion and branding. A Digital Marketing Plan and Business Model Canvas scheme been created to develop digital branding as a competitive advantage and an indicator of improving the tourist experience when visiting Binong Tourism Village. So, it is hoped that the development of a digital brand destination can increase public awareness of the potential of Binong Tourism Village, and can increase the reach of promotions and branding.
Technology and AI—Impact on Country’s Growth and Unemployment
Authors: Dave Brij Behari
Published: January 2025

This study examines the impact of artificial intelligence (AI) adoption on economic growth and unemployment across G7 countries and India. As AI emerges as a transformative technology, there is a need to understand its effects on labour markets and develop appropriate policy frameworks. The research analyses historical patterns of automation and technological change to provide context for the current AI revolution. The study employs a mixed-methods approach, combining quantitative statistical analyses with qualitative assessments. Variables examined include GDP growth rates, R&D investment levels, AI adoption rates, and productivity gains. Descriptive statistics, correlation analyses, regression models, and cluster analyses were conducted to identify relationships between key variables. Results reveal a significant technology adoption gap between high-tech leaders and developing economies. A growth paradox was observed in developing tech economies, where rapid AI adoption did not necessarily translate to proportional economic gains. The research found complex relationships between technological advancement, unemployment rates, and investment levels across countries. Cluster analysis identified three distinct groups: Advanced Economies, Technology Leaders, and Developing Tech Economies. ANOVA and chi-square tests confirmed statistically significant differences between these clusters. Multiple regression analysis on unemployment rates provided insights into the factors influencing job displacement. Key findings include: 1) AI adoption shows potential to significantly boost GDP growth and productivity, though effects vary by country. 2) The relationship between technological progress and unemployment is nuanced, defying simplistic narratives. 3) Investment levels strongly correlate with technological advancement, but other factors also play important roles. 4) Leaders in AI adoption exhibit certain common characteristics, offering potential lessons for other nations.The study concludes that while AI presents substantial opportunities for economic growth, its benefits are not uniformly distributed. Policymakers must develop strategies for inclusive growth, equitable access to technological advancements, and robust safety nets to address potential economic stratification. Future research directions are suggested to further explore the long-term implications of AI on global economies and labour markets. This research contributes to the ongoing dialogue on AI's societal impact and provides evidence-based insights to inform policy decisions in an era of rapid technological change. The findings underscore the need for nuanced, context-specific approaches to AI adoption and regulation across different economic contexts.
Kur’ân’daki Zekât-Faiz Karşılaştırmasının İktisadi Açıdan Değerlendirilmesi
Authors: Özek Ayşe Ulya
Published: January 2025

İslam ekonomisinin temel taşlarından biri olan zekât ile yine İslam’ın en temel yasaklarından biri olan faiz, piyasalarda iktisadi açıdan olumlu ve olumsuz olmak üzere birbirine zıt etkiler oluşturmaktadır. Bu duruma Kur’ân âyetlerinde karşılaştırmalı olarak işaret edilmiş; kazanç elde etmek için faize yatırılan malların Allah katında artmayacağı, ama Allah rızası için zekât verenlerin mallarının kat kat artacağı ifade edilmiştir. Buna rağmen İslam dünyasının genelinde zekât devlet eliyle uygulanmadığı gibi faiz hassasiyeti de giderek azalmaktadır. Dolayısıyla İslami esaslara uygun ekonomik gelişme sağlanamamaktadır. Bunun için nakit serveti de içine alan zekât mallarına, üretimin bölüşümü değil gelirin yeniden dağılımı aşamasında müdahale etmektedir. Biriktirmeye ve haksız kazanca neden olan faiz ise yasaktır. Faiz, üretimdeki finansman maliyetinin artmasına ve enflasyonun körüklenmesine de sebep olur. Bu yüzden borçtan gelir elde etme eylemi olan faiz, hangi gerekçeyle olursa olsun kabul edilmemiştir. Literatürde zekât ve faizin ekonomiye etkisine dair bazı çalışmalar bulunsa da bunların bu makalede ele alınan açılardan karşılaştırmalı olarak çalışılmaması, bu yazının kaleme alınmasına neden olmuştur. Bu araştırmada kaynak tarama yöntemi kullanılarak ilgili âyetler için sözlük, tefsir, hadis ve fıkıh kaynakları incelenmiş; iktisadi değerlendirmeler için ekonomi ve İslam ekonomisine dair yazılan dokümanlardan yararlanılmıştır. Sonuçta İslam’da üretim ve gelirin arttırılması -tasarruftan ziyade harcamaların artmasını zorunlu kılan- zekât /sadaka ve infak yoluyla sağlanmaya çalışılır. Bu şekilde bireysel ve toplumsal refaha ulaşılır. Zekât emri ve faiz yasağıyla servetin âtıl kalmasına ve paranın tek başına servet elde etme aracı olmasına engel olunarak dolaşım problemine ve gelir dağılımındaki adaletsizliğe çözüm sunulur. Böylece tasarruflar yatırıma yönelir. Borç temini ve borçların ödenmesinde de zekât kurumu ve faiz yasağının önemli bir etkisi söz konusudur. Ortaklık sisteminin güçlenmesi ise bunların sonucunda ulaşılacak neticelerden biridir.
A Qualitative Analysis on the Definition of Zakat in the Turkish Tax System and Institutionalization of Zakat
Authors: Dönmez Esra Berika , Cural Mehmet
Published: January 2025

Few studies research about zakat and tax system in Türkiye. This research discusses the institutionalization of zakat in Türkiye and the tax advantages that could be provided for zakat payments. A qualitative method and semi-structured interviews are preferred in the research. Accordingly, interviews are conducted with 21 income taxpayers who pay zakat. Participants were asked about their definition of zakat, methods they use when giving zakat, their perspectives on the definition and institutionalization of zakat in the tax system and their thoughts on tax advantages that could be provided for zakat. The results show that 14 participants consider the institutionalization of zakat necessary. All participants emphasized that the institutional structure should ensure trust and transparency principles. 13 out of 21 participants stated that institutionalization should be done by the state, while 10 stated that a different system established by the state should be implemented. 5 participants expressed views against the institutionalization of zakat by the state. 12 participants expressed their desire for zakat to be defined in the Turkish tax system but expressed hesitation regarding the provision of tax advantages; 8 participants emphasized the necessity of providing tax advantages. As a result, it is thought that the institutionalization of zakat in Türkiye may reduce the impact of social transfer expenditures on the budget.
Brazilian academic mobility: exploring the journey towards training
Authors: Higor Alexandre Duarte Mascarenhas  , Thiago Magela Rodrigues Dias  , Letícia Duarte Mascarenhas
Published: January 2025

The exodus of individuals for various reasons or circumstances has increased significantly in recent years in Brazil and the world. One of the reasons identified for this migratory flow is the academic training of these individuals, who seek to train in better quality educational institutions. In this context, this work aims to analyze how the scientific exodus occurs in Brazil, in which individuals from different locations in the country migrate in search of better academic training. Therefore, in this study, we analyzed how the Brazilian scientific exodus occurs. To do this, it was necessary to extract academic training data from the CVs of individuals registered on the Lattes Platform. Therefore, all individuals with completed doctorates were selected, aggregating 381,463 CVs. The choice of this group is justified because it is the group with the highest level of completed academic training, and which has the characteristic of having recently updated data in their CVs. Initially, the data was filtered, selecting the attributes relevant to the research, and finally, the data was processed with the aim of finding the geographic location of the institutions in which the individuals trained. As initial results, it was possible to characterize the data collected on the Lattes Platform, measuring distances traveled by individuals throughout their academic training, as well as flows followed by doctors at state level and an analysis of the internationalization process of doctors Brazilians. Link networks were created demonstrating the main locations occupied by doctors during their academic training, as well as the connections between these locations. Possible indicators were subsequently extracted and analyzed, seeking justifications for the choice of individuals to migrate to locations during training, such as a correlation between the results found and some indicators extracted from open access data repositories, such as population and undergraduate and postgraduate courses. -graduation. Therefore, it was possible to present an unprecedented portrait of how the Brazilian scientific exodus occurs.
Contributions of the Analysis of Academic Trajectories to Educational Management
Authors: Thiago Magela Rodrigues Dias  , Patrícia Mascarenhas Dias  , Charles Henrique Martins Junior  , Gray Farias Moita
Published: January 2025

Educational management is present and necessary in contemporary times, given the ability of the techniques and dynamics proposed to guide education systems and maximize the investments made. Given this fact, conclusions about social phenomena that can be guaranteed by analyzing academic trajectories are of significant relevance, since they reveal information regarding the effectiveness of education centers, the means of re-establishing training paths that have been broken and the variables in the context of individuals that influence the teaching-learning route. In view of this, this work aims to carry out a case study with an educational institution, so that results can be extracted from the investigation of educational histories that collaborate with the institution's strategies. Based on CVs from the CNPq's Lattes Platform, the research was structured around the stages of Data Selection, Filtering, Summarization and Stylization, with interpretations of educational profiles, geographical mobility for academic and professional purposes, migration between institutions and other related data, from an understanding that ranges from high school to doctoral level. In this way, conclusions were reached, in the first phase of the work, regarding the scope of the institution's pedagogical projects and the spatial retention of qualified individuals by the campuses.
DETERMINATION OF CRITICAL PLANES IN MULTIAXIAL FATIGUE WITH ESTIMATION OF SHEAR STRESS AMPLITUDE IN MECHANICAL COMPONENTS THROUGH DIFFERENT FAILURE CRITERIA
Authors: Aurelio Caetano Feliciano  , Jorge Luiz de Almeida Ferreira
Published: January 2025

Fatigue strength analysis in mechanical components is fundamental in the development across various industrial and economic sectors worldwide. Different materials are used in the construction of structural and mechanical elements subject to intermittent and intense usage under various loading conditions. The evaluation of fatigue strength of materials is widespread in diverse computational research, which presents various characteristic parameters according to fatigue strength and material failure criteria. The presence of shear stresses in materials, mean stresses, their amplitudes, and critical planes of rupture seek to identify the assessment of the structural reliability of these elements. The Susmel and Lazzarin Method and the Findley Method, together with the evaluation of the shear stress in a loading history in materials, are capable of indicating, according to stipulated criteria and parameters, error indices, and affirming the accuracy of the fatigue strength capacity of materials. Thus, the determination of fatigue strength can indicate better design, construction, and maintenance parameters for studied elements.
Early Warning Panel
Authors: Nonia Isabel Acosta Britos  , Diego Martín Olmedo Giménez  , Juan Vicente Bogado Machuca
Published: January 2025

Artificial intelligence methods are normally used to make predictions, classify objectives, group and optimize human work and minimize uncertainty for decision making, but despite the advantages they offer, they are not entirely friendly or accessible to the majority of people. That is why we use an artificial intelligence model, the LSTM model, it is used to predict time series and can be extended to any endemic disease for which there is enough data for deep learning of an artificial intelligence model, which which will allow us to draw up plans to combat and confront this disease in our country.Paraguay is a country that epidemiologically is considered endemic for some arboviruses, we can mention: Dengue with cases since 2009, Chikungunya since 2013 and Zika since 2015.The epidemiological indicators provide us with information on the epidemiological situation of Dengue in Paragua, the indicators that we collect through a bibliographic review and that found in our Early Warning Panel were identified through a bibliographic review, the search engine used was Google Scholar, the inclusion criteria were: articles that mention epidemiological indicators and the way in which they are calculated. Finally, the epidemiological indicators used were: Incidence, bitting rate, probability of infection from mosquito to human, probability of infection from human to mosquito.For the implementation of the prediction in our Early Warning Panel, the LSTM model was defined, pre-training. It is one of the most advanced and successful deep learning architectures for time series prediction. For the evaluation of our Panel, a survey was developed for potential users in order to evaluate the usability, relevance and performance of the system. Experts in epidemiology and control of infectious diseases, with experience in managing dengue cases, were selected. A representative sample was sought that included epidemiologists, doctors specializing in tropical diseases, data analysts, and public health officials. With the potenticial users was evaluated: Usability, Relevance and Performance.The results of this evaluation revealed good acceptance by the experts, who highlighted the clarity and usefulness of the information presented. These findings confirm the effectiveness and relevance of the epidemiological panel as a useful tool for the surveillance and control of dengue.The panel is available at: https://alertatemprana.vercel.app
Identifying the Main Research Topics in Open Access Journals: An Analysis with Bibliometric Metrics
Authors: Thiago Magela Rodrigues Dias  , Patrícia Mascarenhas Dias  , Gray Farias Moita
Published: January 2025

The traditional printed format of science communication is gradually giving way to new electronic formats, due to the rise of information and communication technology. In the context of research and scientific studies, scientific communication appears today as a central element at different levels of discussion, with emphasis on the dissemination of scientific articles in journals, currently one of the main means of communication for this purpose. In the context of this work, in order to better understand the main research topics investigated by Brazilian researchers in open access journals, the curriculum data repository of the Lattes Platform was used. Currently, the Lattes Platform has a set of more than 7 million registered CVs.
Moisture Detector in Concrete using Convolutional Neural Networks
Authors: João Gustavo Silva Guimarães  , Eduardo Habib Bechelane Maia  , Carlos Renato Lisboa Francês  , Thabatta Moreira Alves de Araújo
Published: January 2025

Concrete undergoes various indicators of the deterioration processes, such as pH changes, compressive strength reduction, and microbe growth, all associated with moisture. As a result, wet concrete can lose its adhesive properties and compressive strengths, leading to failure. To address this issue, this study presents a classifier that uses convolutional neural networks (CNNs) with a custom and low-complexity architecture to detect surficial signs of wet concrete visible to the human naked eye. The sample used in the study was built upon scraped data from the open database, as well as authorial photographs. The images of concrete surfaces were divided into two classes: with and without moisture. The results indicate that the classifier can effectively classify images with visible moisture that the human eye can detect, with good performance.
Advancing Offshore Wind Turbine modeling: developing an integrated tool for structural control
Authors: Gino Bertollucci Colherinhas  , Marcus Vinicius Girão de Morais  , Marcela Rodrigues Machado  , Francesco Petrini
Published: January 2025

This paper presents the modeling of a 22 MW OWT (IEA Wind 22-Megawatt Offshore Reference Wind Turbine), intended for integration into a new MATLAB-based user-friendly interface. Users can select from turbines ranging from 5 to 22 MW, inputting relevant data on wind and maritime conditions, and other relevant data. Significantly advancing prior research utilizing a 5 MW NREL OWT, this study encompasses hydrodynamic and aerodynamic modeling of a flexible tower to assess response peaks at the OWT hub, evaluated via Power Spectral Density analysis. The routine models the tower, incorporating a rotational spectrum to account for blade rotation effects. The developed tool may include the incorporation of vibration absorbers for structural control, such as pendulum, inertial, or liquid column absorbers, among others.
Many-objective design of tall buildings considering second order effects
Authors: Claudio Horta Barbosa de Resende  , Luiz Fernando Martha  , Afonso Celso de Castro Lemonge
Published: January 2025

This research investigates the application of multi-objective optimization methodologies in the development of economically viable and structurally efficient spatial steel constructions. It emphasizes the significance of optimizing performance alongside cost reduction in practical engineering scenarios. The investigation encompasses the minimization of maximum horizontal displacement, the maximization of the first natural frequency of vibration, the maximization of the critical load factor pertaining to the initial global buckling mode of the structure, and weight minimization as primary objectives. Furthermore, the analysis integrates considerations for both local and global second-order effects. Moreover, it delineates a systematic framework for the selection of optimal designs, employing three distinct evolutionary algorithms grounded in differential evolution, coupled with a multi-criteria decision-making approach.
2Frame: Web Software for Application in Non-Linear Geometric Analysis of 2-Dimensional Frames
Authors: João Fyllipy de Lima Nunes  , João Carlos Cordeiro Barbirato
Published: January 2025

This work presents the development of a web software tool for the linear and nonlinear geometric structural analysis of plane frames. The software leverages matrix methods, specifically the Direct Stiffness Method, and incorporates the Two Circle Iterative Method to account for geometric nonlinearity, alongside principles from solid mechanics. The user-friendly interface allows for easy modeling of frames and input of material parameters, facilitating the determination of stiffness matrices and internal forces. The accuracy and reliability of the software are demonstrated through comparative analysis with data obtained from solved examples in existing literature. Results indicate close agreement, validating the efficacy of the developed tool for nonlinear geometric structural analysis of plane frames. This software stands as a valuable resource for education, research, and professional practice in the field of structural engineering, targeting both undergraduate and graduate students as well as structural professionals in need of nonlinear analysis.
Educational interactive graphics tool for teaching the Cross process
Authors: Luiz Fernando Martha  , Andre Cahn Nunes
Published: January 2025

The program demonstrates to students in the Structural Analysis discipline of the Civil Engineering course how the Cross Process (Moment Distribution Method) works for continuous beams, visually showing the physical interpretation of the method associated with the calculations in the same way as they are done in calculation memory. In addition to the calculations, the program shows the structural model with the loads (uniformly distributed forces across each span), its deformation, and its bending moment diagram. The program, with open source code, was implemented in the Java language, based on the Object Oriented Programming paradigm  OOP.The program for calculating continuous beams using the Cross Process has four canvases. It is on these canvases that the structural models, their diagrams, and their results will be drawn. The user can interact using the mouse to model the continuous beam, create new internal supports, remove internal supports, modify the dimensions of the spans, or modify the load values. The student can track the results by following the incremental analysis of the method step by step. Furthermore, the student can interfere in the iterative solution process by forcing the bending moment balance of any internal node in any order. All these procedures help the student to understand the analysis process. Well-documented source code is also an essential component for learning the method.
Implementation of a control project based on Tuned Liquid Column Dampers optimized by Teaching-Learning Based Optimization
Authors: Luis Augusto Lara Valencia  , Luisa Fernanda Agudelo Gallego  , Sofia Noreña Salazar  , Carlos Daniel Hincapie Ospina  , Veronica Valencia Valencia
Published: January 2025

Tuned Liquid Column Dampers (TLCDs) are passive control devices implemented in buildings to reduce the structural response of the controlled system when subjected to dynamic environmental loads. These devices consist of U-shaped tanks containing a liquid, usually water, where the oscillating motion of the fluid in the tank columns is used to generate inertial forces that counteract the motion caused by the excitation, thereby dissipating the incoming energy into the system. These devices have been the focus of research in recent decades and have attracted the attention of the scientific community interested in finding reliable, simple, and economical mechanisms to reduce the effects of dynamic loads on civil structures. Thus, this research aims to develop and evaluate the performance of an optimal control project based on the operation of a TLCD installed on the top floor of a mid-rise building excited by different seismic records. For this purpose, a metaheuristic algorithm known as Teaching-Learning Based Optimization (TLBO) is employed to execute the process of selecting optimal parameters for the control device, maximizing the effectiveness of the controller in reducing the overall response of the controlled building. The results obtained allow to establish that the implementation of TLCD in the structure leads to a significant reduction in the structural response of the building, highlighting the efficiency of the device in mitigating displacements during seismic events.
Nonlinear linear dynamics and numerical analysis of a sloshing tank
Authors: Jose  Manoel Balthazar  , Mauricio  A. Ribeiro  , Angelo M. Tusset  , Raphaela C. Machado  , Maria Aline Gonçalves
Published: January 2025

Sloshing motion in liquids refers to the phenomenon of oscillation or agitation that occurs when a liquid is subjected to movement or disturbance. This can happen in containers, tanks, ships, or any other object that contains liquid and is subject to movement, such as acceleration, deceleration, turning or tilting. These oscillations can be caused by several factors, such as sudden changes in speed, changes in the direction of movement, winds, waves, or even internal movements of the liquid due to its own inertia. Sloshing can have significant effects in different contexts, such as naval engineering, liquid cargo transportation, storage tank projects, among others. Therefore, the study of sloshing is important to ensure the safety and stability of structures that contain moving liquids, as the forces resulting from these oscillations can affect structural integrity and even lead to accidents if they are not properly considered and controlled. Mathematical models and computer simulations are often used to predict and mitigate the effects of sloshing in different applications. Thus, this work investigates a mathematical model that describes a tank coupled to an electric motor, and therefore we determine the parameter space of the Lyapunov Exponent, basins of attraction, bifurcation diagrams and phase maps. These numerical analyzes are important to determine the range of parameters that diagnose chaos in the system.
Exploring Herschel-Quincke Ducts for Enhanced Sound Attenuation: An Investigation into Acoustic Metamaterial Systems
Authors: Kael Holanda Cadete  , Wanderson Vinicius de Oliveira Monteiro  , Jose Maria Campos dos Santos
Published: January 2025

This present study evaluates the effectiveness of a periodic acoustic metamaterial system comprised of Herschel-Quincke (H-Q) ducts for noise control. The methodology employed is based on a transfer matrix (TM) approach. The results regarding sound transmission loss are validated through finite element simulations carried out in the COMSOL Multiphysics software. Furthermore, the Floquet-Bloch theory is utilized to identify bandgaps in infinite periodic silencers, highlighting the frequency ranges where sound waves are significantly attenuated. Additionally, several Herschel-Quincke tube models are proposed, incorporating variations in the number and shape of H-Q tubes. This results in the definition of structural parameters that exhibit substantial improvements in their sound attenuation capabilities, particularly in expanding the frequency range where attenuation occurs.
Evaluation of Integration Methods for Time-Domain Response Analysis of Vibrations in a Full-Car Model
Authors: Victor Provensi Mondin  , Gustavo Comerlato Rodrigues  , Leandro Rubén Gonzalez  , Tarik Aziz Saded Din de Souza  , Letícia Fleck Fadel Miguel
Published: January 2025

Vibrations generated by road surface irregularities are intrinsically linked to the comfort level experienced by drivers and passengers in several means of transport. Consequently, the effects can range from mild discomfort to permanent trauma, depending on the vibration amplitude and exposure time. This effect is further exacerbated when traversing off-road terrain. Therefore, this study aims to determine the time-domain system responses and investigate system transmissibility in an 8-degree-of-freedom full-car vehicle model of a vehicle used in rural areas. To achieve this, a class E road surface according to ISO 8608 was generated for all four wheels using power spectral density and transformed into its corresponding time-domain representation. The system's natural frequencies and vibration modes were calculated using the vehicle's input data. Three integration methods (Newmark, Central Finite Differences, and State Space) were used to obtain the displacements and accelerations of both the vehicle body and the driver's seat, demonstrating the equivalence of the methods.