bluuebunny/crossref_metadata_2025 huggingface dataset:
COOPERAÇÃO CIENTÍFICA NO SUL GLOBAL: POR UMA OUTRA INTERNACIONALIZAÇÃO
Authors: Souza Juliana de Fátima , Cossa José , Rodrigues Cibele Maria Lima
Published: September 2024

Este artigo tem como objetivo discutir especificidades da cooperação científica no Sul Global, com foco nas realidades da América Latina e Caribe, África e Estados Árabes. A primeira seção desenvolve uma discussão teórica que contrapõe o conceito dominante de internacionalização (Knight; De Wit) aos recentes estudos críticos desse campo de estudos (Stein; Marginson; Teferra). Tal abordagem pretende questionar a pertinência da concepção hegemônica de internacionalização para o Sul Global e problematizar as relações desiguais de poder e de acesso a recursos entre países e instituições. A segunda seção, com base em dados secundários estatísticos e informes qualitativos, apresenta um panorama conciso do estado da educação superior e da internacionalização nas referidas regiões, evidenciando desafios. Por fim, para ilustrar alternativas de uma internacionalização Sul-Sul mais autônoma e autocentrada, o artigo relata a experiência da rede Right to Education in the Global South (REGS), uma cooperação firmada entre associações científicas da América Latina, África e Estados Árabes entre os anos de 2021 e 2023.
1. KHẢO SÁT KIẾN THỨC VỀ PHÒNG BỆNH DẠI CỦA HỌC SINH TRƯỜNG TIỂU HỌC XÃ TAM THANH, HUYỆN VỤ BẢN, TỈNH NAM ĐỊNH NĂM 2023
Authors: Ngọc Phạm Vương
Published: September 2024

Mục tiêu: Mô tả kiến thức về phòng chống bệnh dại của học sinh Trường Tiểu học xã Tam Thanh, huyện Vụ Bản, tỉnh Nam Định năm 2023.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang được tiến hành trên 292 học sinh lớp 3, 4, 5 từ tháng 9/2023 đến tháng 10/2023 tại Trường Tiểu học xã Tam Thanh, huyện Vụ Bản, tỉnh Nam Định. Kiến thức về phòng chống bệnh dại của học sinh được thu thập bằng bộ câu hỏi tự điền. Nhập và phân tích số liệu bằng phần mềm Epidata 3.0 và SPSS 22.0.
Kết quả: Có 77,7% học sinh trả lời bệnh dại là do virut dại gây nên; 82,7% học sinh trả lời đường truyền bệnh dại là do chó/mèo cắn, cào; 86,3% học sinh trả lời về cách phòng dại cho chó/mèo là tiêm vacxin; về biện pháp hạn chế chó/mèo cắn, có 72,3% học sinh trả lời rằng không trêu chó/mèo; chỉ có 59,2% học sinh biết cách sơ cứu vết thương đúng là “rửa vết thương bằng xà phòng, không băng vết thương”.
Kết luận: Tỷ lệ học sinh có kiến thức về bệnh dại là tương đối cao, tuy nhiên tỷ lệ học sinh biết cách phòng tránh và sơ cứu bệnh dại là tương đối thấp. Cần tăng cường truyền thông về kiến thức phòng bệnh dại, kết hợp lồng ghép với các chương trình giáo dục sức khỏe tại trường học về phòng bệnh dại cho các em học sinh tại các trường tiểu học trên địa bàn tỉnh Nam Định.
8. TÍNH ƯU VIỆT CỦA BÀI THUỐC BỔ DƯƠNG HOÀN NGŨ THANG TRONG ĐIỀU TRỊ CHỨNG Ứ HUYẾT
Authors: Hiền Hồ Thị , Nghĩa Nguyễn Trung
Published: September 2024

Mục tiêu nghiên cứu: Tìm hiểu sâu hơn, tổng hợp các đánh giá của các nghiên cứu về tác dụng của bài thuốc Bổ dương hoàn ngũ thang trên lâm sàng, đồng thời giúp các bác sỹ lâm sàng biết được tác dụng phong phú ưu việt của bài thuốc, chúng tôi tổng kết các nghiên cứu của các tác giả trong những năm gần đây.
Phương pháp nghiên cứu: Phân tích tổng quan hệ thống.
Kết luận: Việc nghiên cứu ra các tác dụng điều trị mới trên các mặt bệnh khác nhau, đồng thời sáng tạo và kết hợp các phương pháp bào chế tạo ra các chế phẩm mới dễ sử dụng có ý nghĩa vô cùng to lớn trong điều trị lâm sàng. Bài thuốc Bổ dương hoàn ngũ thang vừa có tác dụng hoạt huyết mạnh, có có cơ sở lý luận chặt chẽ, ứng dụng rộng rãi là những ưu thế vô cùng tuyệt vời, góp phần nâng cao hiệu quả của y học cổ truyền trong điều trị các bệnh nặng thuộc chứng ứ huyết.
31. ĐÁNH GIÁ HOẠT ĐỘNG MARKETING KHÁM BỆNH THEO YÊU CẦU TẠI BỆNH VIỆN HỮU NGHỊ VIỆT ĐỨC NĂM 2023
Authors: Sơn Nguyễn Trọng , Anh Đinh Ngọc , Dung Đàm Thị Thúy
Published: September 2024

Mục tiêu: Nghiên cứu đánh giá hoạt động marketing khám bệnh theo yêu cầu tại Bệnh viện Hữu nghị Việt Đức năm 2023; mô tả, phân tích một số yếu tố liên quan đến hoạt động này tại bệnh viện.
Phương pháp: Nghiên cứu mô tả cắt ngang. Đối tượng khảo sát gồm 200 người bệnh khám theo yêu cầu ngoại trú và ban lãnh đạo, nhân viên y tế của bệnh viện thông qua bộ công cụ sẵn có. Đánh giá hoạt động marketing khám bệnh theo yêu cầu qua 5 khía cạnh: hệ thống thông tin, chiến lược, marketing hỗn hợp, kế hoạch thực thi và đánh giá marketing.
Kết quả: Đánh giá hoạt động marketing thực hiện đạt mức tốt (80/100 điểm). Hoạt động Chiến lược và Đánh giá marketing thực hiện đầy đủ nhất, đạt điểm cao nhất (quy đổi 0,9 điểm). Các yếu tố bên trong đưa ra là yếu tố con người, yếu tố chính sách hoạt động nội bộ và yếu tố cơ sở vật chất.
Kết luận: Hoạt động marketing dịch vụ khám bệnh của Bệnh viện Hữu nghị Việt Đức năm 2023 đạt mức độ tốt. Tuy nhiên cần phát huy thế mạnh về các hoạt động marketing hỗn hợp, cải thiện về ngân sách hoạt động, kênh cung cấp dịch vụ, giá dịch vụ và đẩy mạnh các chính sách nội bộ.
44. VAI TRÒ CỦA CHỎM LƯỠNG CỰC (BIPOLAR) TRONG PHẪU THUẬT THAY KHỚP HÁNG
Authors: Phúc Lê
Published: September 2024

Mục tiêu: Trình bày vài biến chứng của chỏm lưỡng cực, cảnh báo những bất lợi của loại khớp này.
Phương pháp: Hồi cứu mô tả một trường hợp.
Ca lâm sàng: Trật chỏm lưỡng cực 2 lần. Nắn kín thành công cả hai lần, nhưng bị viêm ổ cối (coxitis) sau 2 năm theo dõi.
Kết quả: Trình bày ca thay chỏm lưỡng cực với hai lần bị biến chứng trật khớp hậu phẫu. Mặc dù cả hai lần đều nắn kín thành công nhưng viêm ổ cối làm chỏm lưỡng cực rất ít chức năng hơn khớp háng toàn phần. Các kết quả không thuận lợi này nhắc nhở phẫu thuật viên cần thận trọng khi chỉ định dùng loại khớp này.
Kết luận: Hy vọng rằng chỏm lưỡng cực có thể thay thế khớp háng toàn phần, nhưng thực tế lâm sàng chứng minh rằng chỉ có thể thay chỏm Moore.
45. SỰ HÀI LÒNG CỦA NGƯỜI BỆNH ĐIỀU TRỊ NGOẠI TRÚ VÀ MỘT SỐ YẾU TỐ LIÊN QUAN TẠI PHÒNG KHÁM CHUYÊN KHOA Y HỌC CỔ TRUYỀN INOMAS, HOÀNG MAI, HÀ NỘI NĂM 2024
Authors: Hồng Nguyễn Quang , Nam Bùi Hoài , Trọng Nguyễn Đức
Published: September 2024

Mục tiêu: Mô tả sự hài lòng của người bệnh sử dụng dịch vụ y tế tại Phòng khám chuyên khoa y học cổ truyền INOMAS và một số yếu tố liên quan năm 2024.
Phương pháp: Nghiên cứu mô tả cắt ngang có phân tích.
Kết quả: Tỷ lệ hài lòng chung của đối tượng nghiên cứu với dịch vụ y tế đã sử dụng tương đối cao (85,3%), còn lại 14,7% chưa hài lòng về dịch vụ. Trong đó, tỷ lệ hài lòng về 7 khía cạnh “thủ tục hành chính”, “thao tác trị liệu hàng ngày”, “thông tin”, “phương tiện phục vụ người bệnh”, “thái độ ứng xử của kỹ thuật viên, nhân viên y tế”, “kết quả chăm sóc” và “dịch vụ y tế tại phòng khám” lần lượt là 91%, 88,1%, 91%, 95,3%, 96,4%, 83,1% và 89,6%. Kết quả phân tích cho thấy giới tính có mối liên quan tới sự hài lòng dịch vụ y tế với p = 0,003 (OR = 2,87, 95%CI = 1,41-5,82).
Kết luận: Tỷ lệ hài lòng chung của đối tượng nghiên cứu về dịch vụ y tế đã sử dụng chiếm 85,3%. Các yếu tố liên quan đến sự hài lòng chung về dịch vụ y tế với ý nghĩa thống kê p < 0,05 chỉ có giới tính. Các yếu tố khác như thu nhập, trình độ học vấn, nghề nghiệp, số ngày và hình thức điều trị chưa thấy có mối liên quan tới hài lòng dịch vụ y tế (p > 0,05).
46. NGHIÊN CỨU ĐỘC TÍNH CẤP VÀ TÁC DỤNG BẢO VỆ GAN CỦA VIÊN NÉN BẢO ĐƯỜNG CAN PC TRÊN MÔ HÌNH GÂY VIÊM GAN CẤP BẰNG PARACETAMOL THỰC NGHIỆM
Authors: Hữu Trần Đức , Ánh Nguyễn Thị Ngọc , Long Vũ Ngô Bảo , Thu Bùi Thị Hương , Tùng Trần Thanh , Thanh Mai Phương
Published: September 2024

Mục tiêu: Nghiên cứu độc tính cấp và đánh giá tác dụng bảo vệ tế bào gan của viên nén Bảo đường can PC trên chuột nhắt trắng chủng Swiss thông qua mô hình gây viêm gan cấp bằng Paracetamol.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu độc tính cấp của sản phẩm nghiên cứu được tiến hành trên chuột nhắt trắng theo đường uống và xác định LD50 theo phương pháp Litchfied-Wilcoxon; đánh giá tác dụng bảo vệ chức năng gan của Bảo đường can PC trên mô hình gây tổn thương gan cấp tính bằng Paracetamol trên chuột nhắt chủng Swiss.
Kết quả: Chuột uống Bảo đường can PC ở mức liều cao nhất có thể không xuất hiện triệu chứng bất thường nào trong 72 giờ sau khi uống sản phẩm nghiên cứu. Kết quả nghiên cứu tác dụng bảo vệ gan của viên nén Bảo đường can PC ở 2 mức liều 1,44 viên/kg/ngày và 4,32 viên/kg/ngày trên mô hình thực nghiệm gây viêm gan cấp bằng Paracetamol cho thấy xu hướng cải thiện các chỉ số nghiên cứu so với lô mô hình.
Kết luận: Chưa xác định được LD50 trên chuột nhắt trắng của Bảo đường can PC theo đường uống. Bảo đường can PC không gây biểu hiện độc tính cấp. Bảo đường can PC có tác dụng bảo vệ gan trên mô hình gây tổn thương gan thực nghiệm bằng Paracetamol.
A Hard Look at Portfolio-Focused Stewardship
Authors: Rose Amanda M.
Published: September 2024

Financially motivated diversified investors want to maximize the overall value of their portfolio and are not independently concerned with the performance of any given portfolio firm. A growing number of scholars have concluded that index fund managers should therefore engage in stewardship designed to force portfolio firms to internalize the costs their activities impose on other portfolio firms (“portfolio-focused stewardship”). This seemingly provides a financial justification for SEC-mandated disclosure on ESG topics—ESG disclosures concerning how a firm’s activities affect the broader economy might help index fund managers identify and, through stewardship, force the internalization of intraportfolio externalities, leading to increases in risk-adjusted portfolio value. This Article critically examines whether, and under what circumstances, financially motivated diversified investors would want their index fund managers to engage in portfolio-focused stewardship, paying careful attention to the real-world frictions that cast doubt on the likelihood that portfolio-focused stewardship would lead to net gains in risk-adjusted portfolio value as well as the alternative tools available to diversified investors for addressing intraportfolio externalities. The analysis has important implications for contemporary debates over SEC-mandated ESG disclosure as well as index fund managers’ fiduciary responsibilities.
PENDAMPINGAN MENGHAFAL MUFRODAT BAHASA ARAB BAGI SANTRI TINGKAT TSANAWIYAH DI PP. AL-AMANAH 2 BAHRUL ULUM
Authors: Asyiq Abdullah , Masykur Muhammad Zakky , Efendi Muhamad Ferry , Ubaidillah M. Abi Mahrus
Published: September 2024

Pelaksanaan kegiatan pengabdian kepada masyarakat adalah bentuk implementasi tridharma perguruan tinggi. Kegiatan ini difokuskan untuk masyarakat sekitar karena masih masa pandemi, Lembaga yang tereltak di lingkungan pondok pesantren kiranya melaksanakan PKM di pondok sebagai bentuk aktualisasi diri. Dengan adanya kegiatan pengabdian masyarakat diharapkan dapat memberikan hasil yang baik bagi masyarakat khususnya santri PP. Al-Amanah 2 Bahrul Ulum. Sasaran kami dalam pelaksanaan kegiatan ini adalah santri tingkat tsanawiyah yang pada dasarnya membutuhkan banyak mufrodat sebagai media mereka untuk belajar bahasa Arab. Permasalahan pertama yang kami hadapi adalah belum adanya kegiatan menghafal mufrodat di PP. Al-Amanah 2 Bahrul Ulum, oleh karena itu langkah awal kami adalah membuat buku saku yang berisi beberapa mufrodat yang sering mereka jumpai di lingkungan pondok. Metode dalam pelaksanaan kegiatan ini adalah menghafal, sehingga ketika mereka menjumpai barang atau sesuatu yang ada disekitarnya mereka bisa menyebutkannya dalam bahasa Arab. Kegiatan ini bertujuan untuk melihat seberapa mereka kuat dalam menghafalkan mufrodat yang telah diberikan. Kegiatan ini dilakukan dengan mendampingi santri yang menjadi sasaran PKm untuk menghafal beberapa mufrodat setiap harinya. Melalui observasi kami penerapan pembelajaran ini para santri sangat antusias aktif dalam menghafal mufrodat yang kami berikan, selain itu pembelajaran ini dapat meningkatkan penguasaan mufrodat mereka.
Pengembangan Model Pembelajaran Bahasa Arab Pada Aspek Kemahiran Menulis dengan Pendekatan Kooperatif Jigsaw di SDI Ulul Albab Badas
Authors: Luthfi Ibnu Mas ud , Dimyati Yayat
Published: September 2024

Pembelajaran bahasa Arab di SDI baik keterampilan mendengarkan (Istima’), keterampilan berbicara (Kalam), keterampilan Qiroah dan keterampilan menulis (Kitabah) saat ini masih banyak berbasis struktural. Pengajaran masih terfokus pada Nahwu. Implikasinya, pembelajaran menjadi abstrak, monoton, kurang kontekstual, kurang menarik, kurang interaktif, dan kurang komunikatif. Langkah yang dapat diambil adalah pengajar harus dapat menampilkan pelajaran bahasa Arab dengan metode mutakhir yang efektif dan teknik pembelajaran yang menarik. Siswa dilibatkan dalam proses belajar mengajar di kelas sehingga mereka merasa senang dan nyaman dalam pembelajaran bahasa Arab. Hal ini dapat ditempuh dengan menerapkan model pembelajaran kooperatif Jigsaw.
Tujuan penelitian adalah menghasilkan model perencanaan pembelajaran bahasa Arab pada aspek KITABAH dengan pendekatan kooperatif Jigsaw di SDI ULUL ALBAB model langkah-langkah pembelajaran, dan dokumentasi pembelajaran bahasa Arab pada aspek Kitabah dengan pendekatan kooperatif Jigsaw di SDI ULUL ALBAB dalam bentuk CD interaktif. Metode penelitian yang digunakan adalah model pengembangan (research and development) Borg dan Gall. Dari keseluruhan aspek dan kriteria penilaian terhadap produk pengembangan berupa model perencanaan pembelajaran menurut ahli pembelajaran bahasa Arab, didapat hasil persentase sebesar 90%. Hal ini dapat diartikan bahwa keseluruhan aspek dan kriteria yang dinilai oleh ahli pembelajaran bahasa Arab berada pada kriteria valid karena berada pada skala 76% - 100%. Berdasarkan kriteria kelayakan produk dapat disimpulkan bahwa produk hasil pengembangan tersebut layak/tidak revisi dan tidak dilakukan uji coba ulang.
Reinterpretasi Term Larangan Aklu Al-Amwāl bi Al- Bāṭil dan Relevansinya dengan Perampasan Lahan
Authors: Amalia Lubna Harira
Published: September 2024

Land grabbing is a common occurrence in many parts of the world, including Indonesia.  The reasons vary, from public interests to the interests of certain groups or individuals. This paper aims to examine the Qur'anic view of land grabbing and look for the maqāṣidi  contained in the Qur'an. The selection of verses will focus on the term prohibition of aklu al-amwāl bi al- bāṭil. Among the dozens of verses containing these words, the author only focuses on three verses, namely: This research is qualitative in nature using the library research method and using the maqāṣidi interpretation analytical knife initiated by Abdul Mustaqim.  The results obtained from this study are (1) the Qur'an strictly prohibits eating other people's property by false means, including land grabbing. (2) Qs. al-Baqarah verse 188, al-Nisa verse 29 and al-Taubah verse 34 have maqāṣidi , especially ḥifẓ al-nafs, ḥifẓ  al-mal, and ḥifẓ  al-daulah. (3) The revocation of private property rights is allowed in Islam as long as it is through procedures that do not violate the Shari'ah.
A Bibliometric Analysis of Bougainvillea Plant: Research Trends, Geographic Distribution and Future Direction
Authors: Kumar Anil , Kumar Anupam , Sharma Mamta , Sahare Homraj Anand Rao , Jangid Himanshu
Published: September 2024

The main aim of this paper is to conduct an exhaustive bibliometric analysis of Bougainvillea. A total of 624 publications on Bougainvillea were identified from Scopus data ranging from 1937 to 2024. The dataset downloaded from the Scopus database contains contributions from 2140 authors. Data visualization and analysis were carried out through different software: Microsoft Excel, Bibliometrics, BibExcel, VOSviewer, and Biblioshiny in R Studio. Analysis shows that the number of publications on Bougainvillea has increased tremendously in recent years, with 243 articles published between 2017 and 2024. India is the most significant contributor to Bougainvillea research. This bibliometric analysis helps a researcher gain direction into the key trends and areas of interest while exploring the medicinal attributes of the plant. Bougainvillea, a plant more commonly associated with its colourful blooms and ornamental use, has recently been gaining attention for its medicinal applications. The present review attempts to garner such existing knowledge regarding the medicinal attributes of Bougainvillea related to its phytochemical composition, traditional uses, pharmacological activities, and therapeutic applications.
A Hybrid Framework for Plant Leaf Region Segmentation: Comparative Analysis of Swarm Intelligence with Convolutional Neural Networks
Authors: Shrivastav Supriya , Jindal Vikas , Eswarawaka Rajesh
Published: September 2024

Agriculture is important for the survival of humanity since about 70% of the world's population is engaged in agricultural pursuits to varying degrees. The previous and present methodology lacks ways to identify diseases in different crops within an agricultural environment. The crops most impacted by these illnesses are tomatoes, leading to a significant increase in the price of tomatoes. Controlling tomato illnesses is crucial for optimal development and production, making early diagnosis and disease detection vital. Early disease diagnosis and treatment in tomato plants can lead to improved yields. Tomato plants are susceptible to illnesses, which can significantly affect the quality, quantity, and productivity of the crop if not properly treated. Despite many unsuccessful efforts to utilize machine learning methods for detecting and classifying illnesses in tomato plants. This study introduces a comparative framework for segmenting tomato leaf regions using both conventional and swarm intelligence methodologies to determine the more effective approach. This framework enables the development of a tomato plant diagnosis system capable of analyzing various sorts of images, including both standard and custom image datasets. The obtained evaluation parameters of the proposed model in terms of average precision, recall, f-measure, error, and accuracy are 0.914, 0.915, 0.915, 1.55% and 98.45%, respectively. We performed a comparative examination of six scenarios: T-model, K-model, TPSO-model, KPSO-model, TGO-model, and KGO-model. The combination of K-means with the GO algorithm proved to be a powerful hybrid technique, with an accuracy of 96.45%. Comparatively, the T-model, K-model, TPSO-model, KPSO-model, and TGO-model attained accuracies of 85.73%, 86.61%, 87.54%, 88.64%, and 92.21% correspondingly.
Stability of Envelope Proteins of SARS-CoV-2 Variants Could Be a Choice of New Drug Target
Authors: Khan Ambreen Shafaat , Angel Bennet , Angel Annette , Joshi Vinod , BM Shareef , Khaneja Poorna , Sharma Bhawna , Peer Nuzhat Maqbool , Singh Neha , Barthwal Shilpa , Singh Satendra Pal , Joshi Ramesh , Thakur Rajesh , Dheer Monika , Kumari Khusbhu , Chitransh Aarya , Chauhan Reshu , Sailo Lalmalsawmi
Published: September 2024

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has emerged as one of the worst viral pandemics during the past few years. As reported by the World Health Organization, around 77,56 49 520 cases and 70 51 720 deaths were reported from all over the world, which includes approximately 3500 patients reported during the recent past only. Currently, circulating variants of SARS-CoV-2 are KP.3, JN.1, BA.2.86 and KP.2. Mass vaccinations have been provided since the end of December 2020, which led to 5.47 billion people vaccinated till date. However, the disease continues in small foci all over the world. Development of an effective drug target and mutation independent vaccine thus becomes essential research priorities. Owing to the unavailability of a specific drug molecule, the present study has focused on the development of an effective drug target to treat COVID-19. In-house primers were designed for four essential structural genes viz., Spike protein, ORF1ab, Nucleocapsid gene, and Envelope gene. Samples of different waves were amplified using these primers employing the Polymerase Chain Reaction (PCR) assay. A total number of 86 SARS-CoV-2 RT PCR positive samples were studied, and results showed the most frequent appearance (80.2%) of Envelope (E) protein in all the samples. This suggests that during transmission across numbers of human hosts, it is the Envelope protein that was the most stable one. The most severe Delta variant showed the presence of E proteins in all the samples assayed. Blocking E protein as a new drug target to intervene intracellular replication of virus could be an effective drug development strategy.
Assessment of Cement Mortar Strength Mixed with Waste Copper Mine Tailings (CT) by Applying Gradient Boosting Regressor and Grid Search Optimization Machine Learning Approach
Authors: . Balwan , Prakash Divya , Dhemla Pankaj
Published: September 2024

Growing environmental concerns and resource scarcity, the construction industry must investigate sustainable materials that reduce waste while improving building material properties. This study investigates the viability of using waste copper mine tailings (CT) as a partial replacement for river sand in cement mortar, assessing the impact on mechanical strength and developing a predictive model using a Gradient Boosting Regressor (GBR) and Grid Search Optimization (GSO). Copper tailings mix designs ranging from 0% to 50% replacement by volume (river sand) were developed, with a constant cement quantity while varying the proportions of sand and tailings. The experiments were carried out at Poornima University in Jaipur, using standard protocols to prepare specimens and measure their compressive strength for 0% CT to 50% CT as volume percent in the mixture. The results showed that the addition of copper tailings up to 20% (3CT2) had highly increased the mortar strength, while mix design 6CT3 showed the best strength at 30% CT. Beyond this threshold, strength declined, thus indicating an optimal replacement level. In the final step of the research, the GBR-GSO-based machine learning approach was employed for developing the predictive model for compressive strength in mortar with different contents of copper tailing for mix types 3CT and 6CT. The predictions obtained by the developed model were in very good agreement with empirical data, thus supporting the potential of machine learning to predict material performance for guiding the use of unconventional additives in construction. It could be said that this work not only represents the material properties of copper-tailing-infused mortar but also showcases state-of-the-art machine learning techniques in the building materials science domain while opening new paths for more innovative and sustainable building practices.
Educators’ Perceptions of the Use of Virtual Reality in the Classroom: Psychometric Validation of Scale in Indian Context
Authors: Choudhury Sourav , Chechi Vijay Kumar , Kaur Dalwinder , Dutta Indrajeet , Deb Joy Prakash , Mohanty Shishir
Published: September 2024

With ample evidence supporting the benefits of using Virtual Reality (VR) in education, teachers' perceptions of such educational innovations decide whether they are accepted or rejected and, if accepted, how successfully they are integrated into teaching. However, there is a dearth of literature with regard to the availability of a suitable measurement tool to gauge their perception specifically in the Indian setting. This is the research gap that is aimed to be met and the novelty of the study. Based on the theory of Diffusion of Innovations and the Technology Acceptance Model, the study aimed to validate Educators' Perceptions of the use of VR on Classroom scale, adapted by Khukalenko et al. (2022) from Wozney et al. (2006). The original version was tested among Russian educators and had 16 items on a six-point Likert-scale format with a Cronbach’s Alpha of 1.00. The investigators here conducted the validation process on a sample of 150 Indian university educators.  Because it is a relatively new scale and is based on a strong theory, confirmatory factor analysis (CFA) alone remained adequate for its validation in India. By using IBM SPSS and AMOS for data analysis, the factor structure of the initial model led to the deletion of eight items due to low factor loading values. The second model, however, suggested a satisfactory fit of this unidimensional scale with eight items and yielded a Cronbach's alpha coefficient of 0.843. It is, therefore, a reliable tool for measuring teachers' perception of the use of VR in the Indian context.
Emoji Support Predictive Mental Health Assessment Using Machine Learning: Unveiling Personalized Intervention Avenues
Authors: Dixit Ashish , Gupta Avadhesh Kumar , Chaplot Neelam , Bharti Veena
Published: September 2024

Mental health disorders, including anxiety, depres-sion, and stress, profoundly impact individuals’ well-being and necessitate effective early detection for timely intervention. This research investigates the predictive capabilities of machine learning algorithms in assessing anxiety, depression, and stress levels based on questionnaire-derived scores. Utilizing a dataset comprising self-reported scores obtained through a tailored questionnaire designed for mental health assessment, we delve into the application of Decision Trees, Naive Bayes, Support Vector Machines (SVM), and Random Forests for prediction. Data preprocessing involved comprehensive cleaning, encoding categorical variables, and careful feature selection, ensuring the relevance of features in the predictive models. Each algorithm un-derwent individual implementation, wherein we scrutinized their performances in predicting mental health conditions. Evaluation metrics such as accuracy, precision, and recall were employed to assess the models’ proficiency in predicting anxiety, depression, and stress levels. The findings underscore the potential of machine learning in accurately predicting mental health conditions based on questionnaire responses, offering insights into personalized interventions and early detection systems. This study contributes to advancing the understanding of machine learning applications in mental health assessment, highlighting avenues for impactful interventions in mental health care.
Development and Validation of an ICH-Compliant Optimized RP-HPLC Method for Quantitative Analysis of Favipiravir
Authors: Bhavar Girija Balasaheb , Aher Kiran Balasaheb , Saindane Rushikesh Manoj , Shaikh Zaid , Sabale Ketan Vijay , Mandan Jugal D.
Published: September 2024

Favipiravir (FAV) has emerged as a promising antiviral agent. It is particularly effective against influenza and other RNA virus infections. The aim and objective of the present study was developing and optimizing chromatographic conditions for faster analysis of FAV and demonstrating its applicability for tablet assay. The chromatographic separation was obtained using mobile phase with 90:10 % v/v ratio of ammonium acetate buffer (pH 4.5) and methanol on a Waters C18 column (250 x 4.6 mm, 5 µ). A flow rate of 1.4 mL/min was optimized. Chromatographic detection was perform at a wavelength of 323 nm. The FAV retention time was 6.46 min, indicating the efficiency and speed of the method. The developed method was rigorously validated according to ICH guidelines. A strong linear correlation (r2 = 0.9995) was established in the 5–60 ?g/mL range, indicating adequacy for quantitative analysis. The method demonstrated high accuracy, with FAV recovery ranging from 98.77 % to 100.89 %. The % RSD results of less than 2% for intermediate precision and repeatability showed that the method exhibited high precision. The developed HPLC method reduces the Rt. Notably, this method complies with regulatory standards, establishing it as a valuable tool for quality assurance, pharmacological evaluation, and clinical monitoring of FAV. Thus, this validated RP-HPLC method provides a robust and sensitive method for routine FAV quantification, with high accuracy, precision, and compliance results, supporting its potential use in the clinical pharmaceutical industry.
Antibacterial Activity, Toxicity and Drug-Likeness Profiles of Woodfordia fruticosa-Derived Metabolites Using Computational-Aided Drug Design Platform
Authors: Sahu Dileswar , Babu Ram , Acharya Srinivas , Swain Shasank S. , Mahalik Gyanranjan
Published: September 2024

This study presents a comprehensive investigation into the phytoconstituents reported from Woodfordia fruticosa (L.) Kurz leaf and flower extracts using gas chromatography-mass spectrometry (GC-MS) analysis, along with some existing phytochemicals, to explore their potential antibacterial properties through molecular docking studies. Followed by bio-assay-guided leave and flower extraction with two solvent systems, i.e., methanol (polar) and petroleum ether (non-polar), was used and further subjected to GC-MS to identify and quantify various secondary metabolites. Based on spectral intensity and volume area, a total of 28 compounds (P1 to P28) have been selected from GC-MS analyses, and an additional 14 compounds (P29 to P42) from previous reports were selected for molecular docking studies against DNA gyrase subunit B (GryB) of Escherichia coli (PDB ID: 7P2M) and Staphylococcus aureus (PDB ID: 5D7R) with novobiocin as the standard. Further, docking score or binding affinity (kcal/mol.) of each ligand were investigated, where the 4,5-dihydro-4,4-undeca methylene-2-phenyl-1,3-oxazin-6-one (P20) with a docking score of -8.4 kcal/mol., from the GC-MS-derived group and the chrysophanol-8-O-?-d-glucopyranoside (P37) with a docking score of -9.7 kcal/mol., from existing phytochemical groups were reported as potential antibacterial. The predicted toxicity and drug-ability profiles also suggested that GC-MS-derived candidates displayed comparatively higher non-toxic profiles but lower drug-likeness profiles than existing groups. This integrative approach explores the phytochemical profiles of W. fruticosa responsible for antibacterial activity of the crude extracts and providing insights into in selection of lead antibacterial agent through cost-effective computer-aided drug design platform to accelerate antibacterial drug discovery with higher chance of experimental success.
Potential and Simulation of Functional Compounds Recovery from Clitoria ternatea L. Extract during The Commercial Sterility Process
Authors: Yudianto David , Ramandini Verent Putri , Nainggolan Ellyas Alga , Mellisani Bella , Sibarani Robert Wiliater , Sayekti Andita , Ulilalbab Arya
Published: September 2024

The butterfly pea flower (Clitoria ternatea L.) is a flower that is identical to blue to purple petals and contains various phytochemical compounds. Heat processing in butterfly pea flower extract can reduce its nutritional and sensory properties, which is indicated by a decrease in each quality parameter, namely color intensity, total anthocyanins, red flavylium cation, purple quinonoidal base, blue anionic quinonoidal base, ferrulic acid, caffeic acid, p-hydroxybenzoic acid, procatechuic acid, gallic acid, vanillic acid, vanillin, procyanidin hexamer III, and delphinidin-3-glucosse. The thermal process can deactivate bacterial spores to maintain the quality of butterfly pea flower extract. This paper will review steps that can be used as a reference for researchers or industry to optimize commercial sterilization processes using heating process kinetics. The method studied to be adopted in this article is based on the heating process kinetics of each quality parameter (k and D values) combined towards temperature (Z value). The combination of temperature and time to optimize the process is determined by referring to the D and Z values. To optimize the heating process, the sterilization heater needs to be evaluated and the kinetics of the thermal process for each quality parameter need to be prescribed. This thermal process design will contribute greatly to the functional food business with commercial sterilization standards that aim to claim functional compounds at certain concentrations after processing.
Machine Learning Techniques for Medicinal Leaf Prediction and Disease Identification
Authors: Keerthana Bodduru , Vamsinath J , Kumari Ch Sita , Appaji Setti Vidya Sagar , Rani P Pratima , Chilukuri Satyanarayana
Published: September 2024

Trees have been a crucial component in humans' lives for hundreds of years, providing food, shelter, and medicine. Some trees have a lot of medicinal properties that cure many diseases. In the old days, Ayurvedic methods were popular for various treatments, but nowadays, the demand for foreign medicine is increasing gradually, which also has side effects. This paper addresses this issue by deciding on the medical conditions corresponding to a symptom and predicting an herb leaf that can be treated it using some modern machine learning techniques. We have used three machine learning methods to accomplish this goal: Multinomial Naive Bayes, Gradient Boosting and Random Forest. These techniques were then used to assess the symptoms and decide the name of the disease and which leaf is appropriate for medicine. The highest accuracy (92%) was produced by the Multinomial Naive Bayes algorithm, thereby showing its capability to predict the right medicinal leaf based on given symptoms. The results show that machine learning algorithms, especially Multinomial Naive Bayes, can identify diseases and recommend suitable medicinal leaves. This approach holds promise for integrating traditional Ayurvedic knowledge with modern technology to offer alternative treatments with potentially fewer side effects.
Quantitative Phytochemical Investigation, Antibacterial Potency, and Drug-ability Assessment of Three Indian Medicinal Plants Leaf Extracts Using Bioinformatics Tools
Authors: Chakrabarty Susmita , Swain Shasank S. , Mishra Monali Priyadarsini
Published: September 2024

Natural regimens have long-held ethnomedicinal values, serving as primary sources for mainstream medicine. Therefore, scientists are paying more attention to studying the biological activity of existing plant species in organized ways to select potent bioactive metabolites to use for specific therapeutic purposes. This study used the same approach to find potent antibacterial phytoconstituents in three well-known Indian medicinal plants: Psidium guajava L., Syzygium cumini L. and Punica granatum L. In the earlier study, methanolic leaf extracts of the above plant extracts were more effective than n-hexane extracts against biofilm and drug-resistant pathogenic bacteria. Accordingly, we selected methanolic crude extracts for gas chromatography-mass spectrometry (GC-MS) to identify the phytoconstituents presented. In addition, we added a few reported candidates from the above plant extracts for molecular docking studies against four bacterial targets. For molecular docking studies, we retrieved all phytoconstituents or ligands from the PubChem database and bacterial target proteins from the protein data bank using PyRx 0.8-AutoDock 4.2 software. Furthermore, we used various bioinformatics and chemoinformatics tools to examine the investigated phytoconstituents physicochemical properties, toxicity, and drug-ability profiles. Out of the 30 GC-MS report-derived candidates from three plants, P5 from P. guajava, P18 from S. cumini, and P21 from P. granatum had the potent binding ability with bacterial targets. In the same way, out of the 30 reported candidates, P39, P43, and P56 from three plants, along with amikacin, showed strong binding against the same bacterial target. Both sets of candidates showed favorable physicochemical and toxicity profiles; however, all GC-MS-derived and few reported candidates exhibited negative drug-likeness. The study reveals that these crude extracts have antibacterial properties because they contain both GC-MS and existing phytoconstituents. The study starts with a crude extraction and then uses bioinformatics to choose two possible antibacterial candidates, ursolic acid and punicacortein A. This platform could be useful for finding an antibacterial agent that works specifically on a specific target. To sum up, the study encourages the isolation of more bioactive candidates from different Indian medicinal plants and uses bioinformatics tools to speed up the selection of strong leads that can speed up the process of making antibacterial drugs within limited resources.
Harmony in High Speed Combustion
Authors: Powers Joseph
Published: September 2024

Processes in nature are sometimes characterized by disorder and other times by order.  Such is the case with the phenomena of combustion; one can compare the disorder of a crackling flame in a fireplace to the order of a candle flame in still air.  Analogs exist in high speed combustion such as might be present in rocket nozzles or high speed air-breathing jet engines.  Here, a paradigm problem in high speed combustion will be considered in which the transition from order to disorder will be studied in a controlled fashion.  The mathematical model is one that closely mimics nature, namely the compressible reactive Navier-Stokes equations for a mixture of calorically imperfect ideal gases that react via a model of detailed chemical kinetics.  The key physical mechanisms considered are reaction, advection, and diffusion. Their relative importance dictates the physical flame structures which are predicted.  One-dimenensional unsteady models of hydrogen-air combustion are examined.  The solution is mathematically verified by use of a wavelet-based method which adapts the computational grid automatically so as to meet a user-specified error tolerance.  The solution is then validated by comparing its predictions to those of similar experiments.  Importantly, both the model and the experiment reveal a fundamental frequency of about 1 MHz.  

This resonance is mainly driven by reaction and advection between the lead shock and the end of the reaction zone, somewhat analogous to standing waves in organ pipes.  For higher frequency modes, the influence of physical diffusion is more important.   The model is then used to study the non-linear dynamics of oscillatory combustion, and a variety of harmonic modes are revealed as part of a transition towards chaos.  For simple kinetic models, the transition is characterized by a bifurcation process well-characterized by the Feigenbaum constant.  

For detailed kinetics, a more complex transition is predicted.
Imagology and Cultural Translation: How Are Images of Arab Youth Constructed and Translated?
Authors: BENLAKDAR Meriam
Published: September 2024

In this paper, we aim to explore the usefulness of imagology as a working method as far as cultural translation is concerned. The significance of the study lies in investigating how imagology may help translators as cultural mediators understand discursive and representational conventions. To this end, we attempt to analyse the content of some English online articles randomly selected and their Arabic translation based on imagological approaches. The findings reveal that depictions of young Arabs vary according to the underlying contexts. They are often characterised by overgeneralisations, ingrained stereotypes and broad prejudices. Society, religion, and Arab Spring movements often influence youth representations. Contextual and textual analyses as part of imagological approaches play a central role in the selection, understanding, decision-making, and reception stages. Imagological tools can explain and highlight textual, discursive, semantic, representational, and translational choices as well as functions and characteristics of various imagotypes and topos.
Teachers’ Classroom Interactional Competence: An Analysis in Micro-Contexts of Teacher-Class Interaction
Authors: AZIZ Asma , ARAR Samira
Published: September 2024

Creating learning opportunities depends to a greater extent on classroom interaction, in which learning is maximised when teachers demonstrate classroom interactional competence (CIC). This article investigates how EFL Algerian teachers manifest CIC in the co-construction of talk-in- interaction. It addresses three core objectives: firstly, it examines teachers' use of mode-convergent language. Secondly, it analyses the interactional resources deployed by teachers to manage creating interactional space. Finally, it identifies the ways teachers shape their learners’ contributions. A qualitative research was adopted, and the data were collected through the use of video-recording and field notes at a private language institute in Sétif, Algeria. The findings revealed that teachers manifested CIC in different classroom micro-contexts but failed, in many occasions, to use mode-convergent language and to provide interactional space in the “Classroom Context” mode. To shape learners’ contributions, the findings uncovered the use of a range of interactional resources. However, differing from previous studies, the findings unveiled the use of humour as a resource that stimulated students’ further engagement in the discourse. Implications to teacher education are discussed as well.
Lernstrategien und autonomes Lernen Eine empirische Untersuchung der Lernstrategien bei algerischen Studenten an der Universität Oran 2
Authors: SEFIANE Fatima Zahra
Published: September 2024

ABSTRACT: Autonomous learning means that one carries out the entire learning process independently. It refers to the learner and their ability to learn independently and responsibly, while it is the teacher's task to promote this through certain learning methods. Example: learning methods. Learning strategies or learning methods refer to autonomous learning or independent learning. Teachers have the task of helping and supporting learners in their learning autonomy, which means they must practice certain competencies in the classroom. In this case, learners are forced to use learning techniques or procedures to improve and control their foreign language learning. Thanks to learning strategies, cooperative learning techniques could deliver successful and satisfactory results in lessons. The goal is to continuously promote independent learning.
ZUSAMMENFASSUNG: Autonomes Lernen bedeutet, dass man den gesamten Lernprozess selbstständig durchführt, es bezieht sich auf den Lernenden und seine Fähigkeit selbstständig und eigenverantwortlich zu lernen, wobei es Aufgabe des Lehrers ist, diese durch bestimmte Lernformen zu fördern. Beispiel: Lernmethoden. Mit den Lernstrategien bzw. Lernmethoden meint man das autonome Lernen bzw. das selbständige Lernen. Die Lehrer haben die Aufgabe, den Lernenden bei der Lernerautonomie zu helfen und sie zu unterstützen, das heißt, sie müssen in der Klasse einige Kompetenzen üben. Die Lernenden sind in diesem Fall gezwungen, Lerntechniken bzw. Verfahren zu gebrauchen, um ihr fremdsprachliches Lernen zu verbessern, und zu kontrollieren. Dank Lernstrategien könnten zusammenwirkende Lerntechniken erfolgreiche und zufriedenstellende Ergebnisse im Unterricht liefern, das Ziel besteht darin, das selbständige Lernen stets zu fördern.
Labour resources under conditions of military danger as a key factor in increasing industrial potential
Authors: Bekrenev Yuriy Vladimirovich , Vakina Aleksandra
Published: September 2024

The article examines the problem of mobilising the industrial potential of Russia in terms of the growing military danger during SMO under decrease in the demographic and labour potential of the Russian Federation. The authors emphasize the effective involvement of labour resources is a key element for development of the industrial potential. Those are necessary to counter the increasing escalation of the military conflict and the desire of Western countries for military and political defeat of Russia. However, the reduction of labour potential and the aging of the population can cause serious socio-economic and political problems. A liberal approach to migration poses long-term threats to the State. Unregulated migration processes will inevitably cause an increase in unemployment, a decrease in the share Russian nation itself, loss of national identity, social tension, and cultural, ethnic, and religious conflicts. It requires a thorough systematised approach and effective monitoring of demographic trends. The state should find a balance between attracting labour from outside and increasing its own labour resources. It also should provide the rational use of existing labour resources.
Improvement of production and economic activity efficiency as a basic condition for ensuring of domestic production international competitiveness
Authors: Tebekin Alexey
Published: September 2024

The importance of production and economic activity increasing efficiency is basic condition for achieving the country technological sovereignty and the international competitiveness of domestic production. Therefore, the conditions of tightening market competition in the post-industrial economy determine the relevance of the presented research. Moreover, the collective West makes serious efforts to restrain the intensity of research and development processes in the Russian Federation. They introduce antiRussian sanctions, including those aimed at limiting the access of domestic enterprises to the latest world scientific developments and technologies and, accordingly, at restricting the sales market for domestic products. Subsequently, the increasing the intensity, effectiveness, and efficiency of domestic enterprises development by enhancement their production and economic activities. The purpose of the research is to identify the issues of improving domestic enterprises operating efficiency as a component of the economic security and country international competitiveness in terms of their effective solutions. Identifying a set of problems allows ones to improve the efficiency of production and economic activity of domestic enterprises. Therefore, the most realistic way to improve their competitiveness, based on increasing labour productivity using the principles of scientific organization of labour, is to increase the profits by reducing the duration of the production and sales cycles. The practical significance of the obtained results concerns with their using by federal and regional authorities for development as so as implement their mechanisms for improving the efficiency of production and economic activity as a basic condition for ensuring international competitiveness of domestic production.
Psycho Social Challenges Experienced by Flood Victims in Charsaadda, Pakistan
Authors: Asif Muhammad , Wang Yijie , Hu Liang
Published: September 2024

Flood victims face a complicated set of emotional, social, and mental challenges that require advanced knowledge and personalized treatments. The July 2010 flood severely disrupted Pakistani society, inflicting chaos and structural damage and needing a new framework for the people of Khyber Pakhtunkhwa. This research investigates the social and psychological effects of the floods on residents of Charsadda, Pakistan. The information was gathered from people affected by floods in Charsadda, Pakistan. Purposive sampling methods were used to choose responders. N = 377 flood victims were selected from four villages in Union Council Agra. The data for this research was gathered from flood victims using a closed-ended questionnaire. The study emphasizes the enormous social and emotional hardship that flood victims experience, extensive property destruction and health issues. They lacked zeal for their well-being and exhibited excessive emotional reactions. The study suggests focusing social rehabilitation on financial aid and interest-free loans, conducting training sessions and building adequate therapy programs for future calamities. Psychological treatment can offer comfort and support to those impacted. Those who are impacted can find comfort via psychological treatment.