bluuebunny/crossref_metadata_2025 huggingface dataset:
Problematika Pemanfaatan Artificial Intellingence dalam Menelusuri Refensi Digital
Authors: Amirudin Ivan Luthfi , Humaidi Anis
Published: December 2024

Students are often afraid of failing and making mistakes, this fear triggers students' low self-confidence. Confidence or self confidence is an important aspect of a person's personality. Self confidence is a part that students must have in order to be able to carry out mathematics learning well. Students who have self confidence in studying mathematics will get maximum results, because self confidence plays an important role in student academic achievement. This research uses qualitative with descriptive type. The research subjects were 23 class XII students majoring in languages. The instrument in this research was a non-test instrument, namely a mathematical self confidence questionnaire consisting of 12 statements. The results showed that (1) 79.02% believed in their own abilities, (2) 52.9% acted independently in making decisions (3) 65.8% had a positive self-concept, (4) 82.76% were brave express an opinion. Meanwhile, the average percentage of all indicators is 70.12% who have good self-confidence and 29.88% lack self-confidence in learning mathematics
Penggunaan Model Pembelajaran Cooperatif Integrated Reading Compotition (CIRC) Dalam Pembelajaran Mahārah Qirā’ah di Kelas X MA Tarbiyatul Islam Soko Tuban Tahun 2023/2024
Authors: Iqbal Deny , Rohman M. Fathor , Rosikh Fahrur
Published: December 2024

Arabic language lessons are mandatory lessons at MA Tarbiyatul Islam Soko. Based on the results of interviews and observations, one of the causes of students' difficulties in Arabic language lessons is their previous school background, this is what underlies teachers using the Cooperative Integrated Reading and Composition (CIRC) learning model so that learning can be achieved. includes all students who have different Mahārah Qirā'ah abilities. This research aims to observe and explain how the application, advantages and disadvantages of the Cooperative Integrated Reading and Composition (CIRC) model in Arabic language lessons, and how students' abilities in mahārah qirā'ah skills are, after the teacher applies the Cooperative Integrated Reading and Composition (CIRC) model. The research method used is qualitative research with the data collection process using interviews with school principal respondents, Arabic teachers and class x students. Observation during learning, and Documentation. Data analysis uses data reduction from interviews, observations and documentation, data display by presenting research data, and verification by analyzing data according to the problem formulation. Checking the validity of the data uses the credibility test, transferability test, debendability test, confirmability test. From the research that has been carried out, the following results were obtained; The Cooperative Integrated Reading and Composition learning model is used in Arabic language learning. The steps in its use are the teacher reading the material, dividing students into groups consisting of 4-5 students, students discussing with the group, students presenting the results of group work, teacher and students making conclusions. This learning model also has advantages and disadvantages. Students' Mahārah qirā'ah abilities obtained after learning are oral reading well and correctly, reading comprehension, and developing reading into writing
Implementasi Pembelajaran Hadits-hadits Pendek di RA Al-Azhar Palangka Raya
Authors: Afifah Neela , Rahmasari Annisa , Mutiara Arda Sulis , Ma'rifah Nor , Muzakki Muzakki
Published: December 2024

Hadith learning is one of the PAI lessons implemented at RA. Hadith learning must be given to young children so that they can grow in accordance with the guidance of Islamic law and can practice commendable qualities. Learning hadiths by memorizing can start with habits carried out at home and in the school environment, and habits that are instilled from childhood bring many benefits to children because hadiths contain hope in the form of moral values ​​and commendable traits. Based on initial observations made by the author at RA Al Azhar, it shows that the superior hadith learning program there is very popular with children, this can be seen from the enthusiasm and joy of the children when taking part in hadith learning. This research aims to obtain an overview of the implementation of learning short Hadiths at RA Al Azhar Palangka Raya. The research method used in this research is descriptive qualitative, while the research subjects are one class B4 and B5 teacher each. Data collection techniques are carried out through observation, interviews and documentation. The research results showed that the hadith taught to students were memorized using the movement method and applied directly by the teacher. Because through this, children will more quickly memorize the hadith and the movements taught, and can apply them in everyday life.
INTERVENTION TO IMPROVE MEDICAL ADHERENCE IN PEDIATRIC KIDNEY TRANSPLANT RECIPIENTS
Authors: Sirichotikul Phalita , Yooyen Mukrawee , Srisuwan Konggrapun
Published: December 2024

Background: Adolescent age at transplantation has long been recognized as a risk factor for graft failure, and a major contributor might be medical nonadherence. Many interventions have been applied to improve adherence in adults. However, there is limited data about intervention in pediatric kidney transplant recipients.
Objectives: The study aimed to study the improvement of medical adherence in pediatric kidney transplant recipients after receiving the intervention and to evaluate the associated factors to medical nonadherence
Methods: A single-center randomized controlled trial was conducted on pediatric kidney transplant recipients at Phramongkutklao Hospital, aged below 21 years, with at least one year post-transplantation and without acute rejection within three months. Randomization was 1:1. The intervention included educational sessions with individual booklets, telephone calls, or video call visits every two weeks, with regular assessment of adherence. Adherence was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS) and the coefficient of variation (CV%) of tacrolimus level.
Results: Thirty-three patients were eligible: 17 for intervention and 16 for control. The mean age was 15.7±3.12 years. Nonadherence prevalence at baseline was 30.3% by questionnaire and 40.7% by %CV. After one year, the total number of non-adherents decreased to 21.2% using the questionnaire and 15.4% using %CV, but there was no difference between the intervention and control groups. After performing a multivariate analysis to evaluate the factors associated with medical nonadherence, no factor was significantly associated. However, some factors, such as the total number of prescribed drugs, tended to be significant (p = 0.071 and 0.331 using univariate and multivariate analysis, respectively).
Conclusion: The prevalence of medical nonadherence in pediatric kidney transplant recipients is higher than in adults. Medical nonadherence is complex; interventions must be individualized and done with a multidisciplinary team. Keywords: medical nonadherence
Effects of Gamification on Chinese EFL College Students’ Writing Error Awareness and Writing Performance
Authors: Wang Chenglei , Li Qiangqiang
Published: December 2024

English writing is an important course to improve students’ comprehensive use of language. However, in the current practice of English writing teaching, college students in China still have a variety of problems in writing English compositions. Therefore, how to further improve students’ English writing ability has always been the focus and difficulty of English writing teaching. Although the traditional Error Analysis Theory has systematically studied the common mistakes in college English writing, students’ awareness of common mistakes in English writing still needs to be further improved. The thesis attempts to explore the effectiveness of gamification learning in improving students’ error awareness and writing performance, as well as students’ perception of gamification methods and traditional teaching methods. The experimental results showed that: 1) Gamification learning can help improve students’ awareness of common mistakes in English writing. 2) Gamification learning has obviously raised students’ comprehensive writing results, of which the misformation errors have been improved most significantly, followed by the improvement of cohesion/coherence, content/organization and language. 3) Gamification has been accepted and praised by most students because the instructional content in gamification is more professional, targeted and meaningful, and game design is more interesting and challenging. This study attempts a new exploration to apply gamification into English writing teaching, and has obtained satisfactory results, which has provided not only pedagogical suggestions for English writing teaching, but also some enlightenment for the future studies of gamification in English writing teaching.
Ảnh hưởng của nhiệt độ chiết lên hoạt tính chống oxy hóa, thành phần ginsenoside và dược tính của dịch chiết sâm Ngọc Linh
Authors: Duy Nguyễn Quốc , Linh Nguyễn Thị Vân , Trung Huỳnh Quốc , Tín Nguyễn Đức , Hiếu Đinh Trung , Minh Trần Thế , Khoa Lương Trọng
Published: December 2024

Sâm Ngọc Linh (Panax vietnamensis Ha et Grushv) là một trong những loại thảo dược có giá trị kinh tế và dược tính nổi bật tại Việt Nam bao gồm khả năng chống ung thư, chống viêm, chống trầm cảm, chống stress và tác dụng bảo vệ tế bào gan. Nghiên cứu này được thực hiện nhằm đánh giá ảnh hưởng của nhiệt độ trong quá trình chiết xuất dịch sâm Ngọc Linh lên hàm lượng phenolic tổng, hoạt tính chống oxy hóa, thành phần ginsenoside và hoạt tính kháng viêm. Kết quả cho thấy trong khi 40 °C là nhiệt độ tốt nhất để thu được dịch chiết có hàm lượng phenolic và hoạt tính chống oxy hóa (ABTS và FRAP) cao nhất, nhiệt độ 60 °C lại được ghi nhận là hiệu quả để chiết xuất thành phần saponin trong củ sâm Ngọc Linh. Ngoài ra, kết quả phân tích HPLC-MS cũng kết luận rằng Rg1 và Mr2 là hai ginsenoside chính trong dịch chiết sâm Ngọc Linh ngoài các ginsenoside khác bao gồm Re, Rb1 và Rd. Dịch chiết cũng không thể hiện độc tính tế bào ở nồng độ dưới 1 000 mg/mL và dịch chiết thu được ở nhiệt độ chiết cao (60 °C và 80 °C) cho thấy hoạt tính ức chế các cytokine gây viêm NO và IL-6 hiệu quả hơn.
Nghiên cứu, thiết kế và chế tạo máy đóng gói sản phẩm dạng bột với năng suất 200 gói/giờ
Authors: Dũng Hồ Văn , Sơn Khương Anh , Anh Võ Công , Anh Lê Thị Kim , Cường Trương Ngọc , Cường Ngô Xuân
Published: December 2024

Hiện nay, thị trường có nhiều loại máy đóng gói sản phẩm cho các loại sản phẩm bột rau má, bột ngũ cốc, gia vị..., phù hợp cho các sản phẩm dạng khối hoặc bao bì. Trong quá trình sản xuất tại các nhà máy hay khu công nghiệp, khâu định lượng và đóng gói rất quan trọng. Nghiên cứu này trình bày quá trình thiết kế và chế tạo một máy đóng gói sản phẩm dạng bột kiểu dạng đứng, trong đó từng sản phẩm di chuyển liên tục, đều đặn, không thay đổi tốc độ trong quá trình đóng gói. Máy có kích thước (1 650 × 540  × 600) mm, nặng khoảng 45 kg và có thể đóng gói được tối đa (150-200) sản phẩm trong 1 giờ. Sản phẩm dạng bột được đóng gói có dạng bao bì với kích thước dài × rộng × bề dày là (115 × 60 × 8) mm, với bộ phận gia nhiệt đạt từ (140-160­) ℃. Hệ thống sử dụng PLC (Programmable Logic Controller) Siemen S7 1200 làm bộ điều khiển trung tâm, màn hình HMI cảm ứng cho quá trình vận hành. Mô hình máy được dùng để làm mô hình các giáo viên giảng dạy thực hành, thực tập và sinh viên các ngành kỹ thuật cơ khí và cơ điện tử có thể tham khảo học tập.
Ứng dụng mô hình stacking kết hợp smote và tối ưu hóa Bayesian đánh giá rủi ro tín dụng
Authors: Minh Dương Hớn
Published: December 2024

Dự đoán rủi ro tín dụng là nhiệm vụ quan trọng đối với các tổ chức tài chính nhằm giảm thiểu nguy cơ vỡ nợ và tối  ưu hóa quyết định cho vay. Trong bối cảnh sự phát triển nhanh chóng của các kỹ thuật máy học, nhiều phương pháp phân loại đã được phát triển để cải thiện khả năng dự đoán rủi ro tín dụng. Nghiên cứu này áp dụng mô hình stacking để đánh giá rủi ro tín dụng, kết hợp dự đoán từ nhiều mô hình máy học khác nhau, bao gồm XGBoost, Random Forest, và CatBoost. Một mô hình meta, hồi quy logistic, được sử dụng để tối ưu hóa dự đoán từ các mô hình cơ sở để đưa ra dự đoán. Dữ liệu được xử lý bằng kỹ thuật SMOTE để cân bằng và các siêu tham số của các mô hình cơ sở được tối ưu hóa thông qua phương pháp tối ưu hóa Bayesian. Kết quả cho thấy mô hình stacking đạt được độ chính xác 95,50 % và chỉ số ROC-AUC đạt 98,15 %, chứng tỏ độ tin cậy cao của các dự đoán. Kết quả này cung cấp về khả năng ứng dụng của các mô hình máy học trong việc đánh giá rủi ro tín dụng, hỗ trợ các tổ chức tài chính trong việc ra quyết định cấp tín dụng cho cá nhân.
Nghiên cứu quy trình sản xuất “trà cascara” đóng chai
Authors: Trà Trần Thị Thu , Nguyệt Tôn Nữ Minh
Published: December 2024

Ngành công nghiệp sản xuất cà phê nhân đang thải ra một lượng lớn vỏ và thịt quả (cascara) chưa được sử dụng hiệu quả. Trong nghiên cứu này, dung dịch trích ly từ vỏ và thịt quả cà phê được sử dụng để sản xuất “trà cascara đóng chai”. Vỏ và thịt quả cà phê sau quá trình trích ly, lọc bỏ bã, chỉnh đến ba giá trị pH = 3,0, pH = 3,5, pH = 4,0 và làm lạnh xuống 4 mức nhiệt độ 4 ℃, 10 ℃, 20 ℃ và 30 ℃ giữ trong 12 giờ để khảo sát quá trình tạo tủa.. Kết quả cho thấy khi ủ ở pH = 3,5, nhiệt độ 4 ℃ trong 12 giờ thì lượng kết tủa tách ra được là nhiều nhất. Điều kiện thanh trùng 85 ℃, giữ nhiệt 15 phút đảm bảo tiêu chuẩn về vi sinh vật và giá trị TPC đạt cao nhất. Sản phẩm trà cascara đóng chai sản xuất theo quy trình trên đạt tiêu chuẩn quốc gia về nước giải khát TCVN 12828:2019 với điểm cảm quan về mức độ ưa thích chung là 6,5.
Quality of life of patients with chronic renal failure on intermittent hemodialysis at Binh Dan Hospital, Ho Chi Minh City in 2024
Authors: Canh Nguyen Van
Published: December 2024

This study aimed to evaluate the quality of life (QoL) and related factors among patients with chronic renal failure undergoing hemodialysis at Binh Dan Hospital in Ho Chi Minh City. A cross-sectional study design was used, surveying 330 patients aged 18 to 59 with the WHOQOL-BREF questionnaire, which assessed four domains: physical health, psychological well-being, social relationships, and environmental factors. The findings showed that QoL was moderate overall, with physical health (mean score of 44.2) and psychological well-being (mean score of 45.7) scoring lower than social relationships (mean score of 51.3) and environmental factors (mean score of 53.1). Age was negatively correlated with physical and psychological health, while education and income were positively associated with better social and environmental scores. Frequent dialysis and comorbidities, such as diabetes, were linked to poorer physical and psychological health. The study emphasizes the need for comprehensive care approaches that address physical, psychological, and social aspects to enhance the well-being of hemodialysis patients.
Đánh giá hiệu quả kiểm soát đường huyết giữa nhóm thuốc ức chế men Dipeptidyl peptidase-4 và nhóm thuốc ức chế kênh đồng vận chuyển Natri-Glucose 2 trên bệnh nhân đái tháo đường tuýp 2 tại Bệnh viện Nhân dân Gia Định
Authors: Chi Nguyễn Thị , Thắm Phạm Hồng
Published: December 2024

Tại Việt Nam, nhóm thuốc ức chế kênh đồng vận chuyển Natri-Glucose 2 và nhóm thuốc ức chế men Dipeptidyl peptidase-4 sử dụng trên bệnh nhân đái tháo đường tuýp 2 vẫn còn hạn chế. Nghiên cứu được thực hiện với mục tiêu đánh giá hiệu quả điều trị giữa nhóm thuốc ức chế kênh đồng vận chuyển Natri-Glucose 2 và nhóm thuốc ức chế men Dipeptidyl peptidase-4 trong việc kiểm soát đường huyết. Nghiên cứu cắt ngang mô tả trên bệnh nhân đái tháo đường tuýp 2 trong khoảng thời gian từ tháng 1-2024 đến tháng 6-2024 tại Bệnh viện Nhân dân Gia Định. Kết quả cho thấy, đa số bệnh nhân sử dụng liệu pháp kết hợp với metformin (trên 80 %), hoạt chất được chỉ định nhiều nhất trong nhóm ức chế kênh đồng vận chuyển Natri-Glucose 2 là empagliflozin với 70,40 %, kế tiếp là dapagliflozin với 29,06 %; hoạt chất được chỉ định nhiều nhất trong nhóm ức chế men Dipeptidyl peptidase-4 là sitagliptin với 65,00 %, kế tiếp là vildaglitin với 23,30 % và cuối cùng là linagliptin chiếm 11,70 %. Cả hai nhóm đáp ứng hiệu quả trong việc kiểm soát đường huyết và không làm tăng nguy cơ hạ đường huyết.
Thiết lập quy trình khử hóa tế bào kết hợp khử khoáng xương bò để chế tạo mô xương ghép ứng dụng trong nha khoa tái tạo
Authors: Tiên Võ Thị Thủy , Hòa Nguyễn Khánh , Thảo Huỳnh Duy
Published: December 2024

Mục tiêu nghiên cứu là đánh giá hiệu quả của quy trình khử hóa tế bào kết hợp khử khoáng xương bò để chế tạo mô xương ghép ứng dụng trong nha khoa tái tạo. Mô xương được thu nhận từ chỏm xương đùi bò, làm sạch và khử trùng. Sau đó mô xương được khử hóa tế bào bằng cách ngâm lần lượt trong NaCl 1 M, hỗn hợp KCl 0,075 M và EDTA 0,1 %, hỗn hợp SDS 0,5 % và EDTA 0,1 %. Mô xương tiếp tục được khử khoáng bằng hỗn hợp HCl 8 % và axit formic 8 %. Phổ tán xạ năng lượng tia X ghi nhận hàm lượng canxi và phốt pho trong mô xương giảm gần 90 % so với ban đầu (p < 0,001). Trọng lượng khô của mô xương sau xử lý cũng bị chiết rút rõ rệt lên đến 30,29 % so với trước xử lý (p < 0,001). Hình ảnh mô học và hình chụp dưới kính hiển vi điện tử quét cho thấy mô xương không chứa thành phần tế bào mà vẫn duy trì hình thái cấu trúc của khung ngoại bào. Như vậy quy trình khử hóa tế bào kết hợp khử khoáng trong nghiên cứu có tiềm năng chế tạo mô xương ghép từ xương bò cho ứng dụng tái tạo mô xương trong nha khoa.
Sử dụng sữa đậu nành nảy mầm trong công thức panna cotta không chứa lactose
Authors: Duy Nguyễn Quốc , Thủy Đặng Thanh , Lâm Nguyễn Vĩnh , Bình Trần Thị An , Diễm Võ Thị Ngọc , Huỳnh Châu Diễm , Nhựt Lương Nguyễn Phi
Published: December 2024

Nghiên cứu được thực hiện nhằm đánh giá khả năng ứng dụng của sữa đậu nành nảy mầm trong việc phát triển công thức món tráng miệng panna cotta không chứa lactose dành cho đối tượng không dung nạp lactose. Kết quả đánh giá chất lượng của sữa đậu nành nảy mầm sau 0 ngày, 1 ngày và 2 ngày cho thấy hàm lượng phenolic và flavonoid tổng có xu hướng tăng dần và đạt cực đại lần lượt là 526,70 mg GAE/L và 1427,31 mg QE/L) sau 1 ngày nảy mầm trước khi giảm ở ngày thứ 2. Kết quả tương tự cũng được quan sát cho hoạt tính chống oxy hóa với hoạt tính khử gốc tự do ABTS đạt 817,27 mg TE/L và hoạt tính khử sắt FRAP đạt 190,64 mg TE/L sau 1 ngày nảy mầm. Sữa đậu nành nảy mầm sau đó được ứng dụng trong công thức panna cotta và sản phẩm được bảo quản lạnh trong 10 ngày để đánh giá sự thay đổi chất lượng. Kết quả cho thấy độ vàng thể hiện xu hướng tăng rõ rệt sau 10 ngày và các mẫu panna cotta từ sữa đậu nành nảy mầm thể hiện độ vàng cao hơn so với panna cotta truyền thống ngay từ ngày đầu bảo quản. Panna cotta từ sữa đậu nành không nảy mầm có độ cứng cao nhất, trong khi các mẫu sử dụng sữa đậu nành nảy mầm có độ cứng thấp hơn so với mẫu panna cotta truyền thống từ sữa bò. Ngoài ra, độ cứng của tất cả các mẫu đều tăng đáng kể theo thời gian bảo quản lạnh.
Nghiên cứu bước đầu về môi trường sống của Cà cuống (Lethocerus indicus) trong điều kiện thí nghiệm
Authors: Phúc Trần Bùi , Kiệt Bùi Thanh , Ngọc Nguyễn Thị Ánh , Trường Nguyễn Quang , Tưởng Lương Quang , Mạnh Vũ Quang
Published: December 2024

Nghiên cứu giới thiệu bước đầu về mô hình thiết kế nuôi Cà cuống Lethocerus indicus trong phòng thí nghiệm tại khu vực miền Nam. Đây là loài côn trùng quý hiếm do môi trường sống tự nhiên hiện nay của nó ngày càng bị thu hẹp. Bước đầu đã thu được các dẫn liệu khoa học về điều kiện nuôi dưỡng Cà cuống trong phòng thí nghiệm. Bể kiếng kích thước (200 × 50 × 60) cm, mực nước (20-30) cm được sử dụng để nuôi thả Cà cuống, trong khi bể nhựa (60 × 40 × 30) cm, mực nước (20-30) cm được dùng để ấp trứng và ấu trùng mới nở. Ổ trứng có màu nâu vàng cho tỉ lệ nở cao hơn khi so với các ổ có màu nâu trắng và nâu tím (> 90 %). Với mật độ nuôi thả 20 con/bể/mẻ và thức ăn là cá chép mồi thì tỷ lệ sống của Cà cuống là 10,73 %. Hàm lượng dinh dưỡng của tinh dầu Cà cuống gồm protein (0,73 %) và chất béo tổng (0,12 %). Đây là cơ sở khoa học quan trọng, góp phần gây nuôi và bảo tồn loài Cà cuống quý hiếm có tên trong Sách Đỏ của Việt Nam.
Synergistic effect of (Azadirachta indica) Neem extract on multi drug-resistant gram-negative isolates from clinical samples at a tertiary care center
Authors: Charles Marie Victor Pravin
Published: December 2024

The indiscriminate usage of antibiotics in treatment and animal feed has led to the development of pan and multi drug resistance. The developing resistance in addition to the mortality had skewed the minds of researchers in search of newer antimicrobial agents. Among the native plants, one with potent antibacterial activity is Neem (Azadirachta indica). The leaves, bark, flowers, fruits, seed, and gum of the neem tree are utilised for various beneficial effects. The clinical samples including pus, urine, aspirate, sputum was sent to the microbiology department. The Gram negative Multi drug resistant organisms were included in the study. Around 210 isolates were obtained during the study period out of which 66 (31.4%) isolates were MDR. The synergistic effect of Neem extract was evaluated which showed a significant change in the susceptibility as intermediate range to susceptible range, resistant to intermediate and resistant to sensitive. The Neem extract has better antibacterial effect however, multicentric studies must be carried out to identify the minimum inhibitory concentration against various isolates.
Exploring micro needles applications in rheumatoid arthritis: efficacy, safety, and patient benefits
Authors: Agarwal Suruchi
Published: December 2024

The most significant organ in the body, the skin is also where many drugs are administered. Many benefits, including averting first-pass liver metabolism, maintaining a steady levels of plasma, safety, as well as complying over oral or parenteral methods, come with drug delivery via the skin. A few of the microscale physical improvements that significantly broadens the range of medications available for through the skin and intradermal application is the use of microneedles. Microneedles are delineate to pierce the stratum corneum, the topmost layer of the skin, deprive of giving rise to considerable exertion or tissue destruction. They are consistently tens to hundreds of micrometres in size. An array of goods, for instance silicon, polymers, and stainless steel, has been utilized to create solid, coated, hollow, and dissolvable microneedles. Meanwhile, because of their superior biocompatibility, reduced preparation expense, and strong mechanical qualities, biodegradable polymers have steadily emerged as the material of choice for creating MNs. The technique of creating microneedle arrays enhances safety, effectiveness, and bioavailability to enable medication delivery via the skin. The autoimmune disease known as rheumatoid arthritis (RA) is marked by chronic synovitis, reduced joint function, inflammation, proliferation of synovial cells, formation of pannus, and consequent loss of cartilage as well as bone. In recent years, microneedles have proven to be an incredibly effective therapeutic tool in the delivery of medications, genes, proteins, RNA, and vaccinations. The many kinds of MNs, the materials utilised to make them, and their characteristics in terms of administering treatments for rheumatoid arthritis are all covered in the current review.
Optimizing Digital Flyer Experiences with Data Integration for E-commerce
Authors: Garg Varun , Singh Pushpa
Published: December 2024

The rise of e-commerce has brought significant transformations to the way businesses engage with consumers, and digital flyers have emerged as a powerful tool for marketing and communication. However, to maximize their effectiveness, digital flyer experiences must be optimized through the integration of data-driven insights. This paper explores the potential of data integration in enhancing the digital flyer experience, focusing on personalization, targeting, and real-time adjustments to content. By utilizing data from consumer behavior, demographics, and interaction patterns, e-commerce businesses can create more tailored and engaging flyer campaigns. The paper also discusses the use of analytics and machine learning algorithms to predict customer preferences, adapt messaging, and improve user engagement, ultimately driving higher conversion rates and customer satisfaction. The findings suggest that a data-integrated approach to digital flyers not only fosters a more seamless user experience but also contributes to the overall efficiency and profitability of e-commerce strategies.
Blockchain Integration in SAP for Supply Chain Transparency
Authors: Ravi Vamsee Krishna , Jampani Sridhar , Gudavalli Sunil , Pandey Priya , Singh S P , Goel Punit
Published: December 2024

The integration of blockchain technology into Supply Chain Management (SCM) is revolutionizing the way businesses track and manage goods across global networks. This paper explores the potential of blockchain integration with SAP (Systems, Applications, and Products in Data Processing) to enhance transparency, security, and efficiency in supply chain operations. Blockchain's decentralized ledger offers an immutable and transparent record of transactions, which is particularly valuable in industries requiring robust traceability, such as pharmaceuticals, food, and manufacturing. By leveraging SAP’s enterprise resource planning (ERP) system, businesses can integrate blockchain to streamline data flow, ensuring that each step in the supply chain—from raw material procurement to final product delivery—is accurately recorded and visible to all authorized stakeholders. This integration addresses common challenges in traditional SCM, including fraud, data inconsistencies, and delays. Moreover, it enables real-time tracking of goods, automates contract execution through smart contracts, and reduces costs associated with intermediaries. The combination of SAP’s robust data management capabilities and blockchain’s transparency provides a solid foundation for improving operational performance, building trust with consumers, and complying with regulatory requirements. The paper also discusses the technical challenges and implementation strategies for integrating blockchain with SAP, along with its potential impact on improving the overall supply chain process. In conclusion, the fusion of blockchain and SAP presents a compelling solution for organizations seeking to achieve greater supply chain visibility and operational efficiency
Design and Implementation of Automated Content Moderation Systems in Social Media
Authors: Govindankutty Sreeprasad , Kumar Avneesh
Published: December 2024

The exponential growth of social media platforms has necessitated the development of robust and scalable content moderation systems to ensure safe and respectful digital environments. This paper explores the design and implementation of automated content moderation systems that leverage advanced technologies such as natural language processing (NLP), computer vision, and machine learning. These systems aim to detect, analyze, and mitigate harmful content, including hate speech, misinformation, and explicit material, in real time.
Key challenges addressed include achieving accuracy in diverse linguistic and cultural contexts, minimizing false positives and negatives, and ensuring compliance with legal and ethical guidelines. A hybrid moderation framework combining automated algorithms and human oversight is proposed to balance efficiency with contextual understanding. Advanced NLP models, such as transformer-based architectures, are utilized for text analysis, while convolutional neural networks (CNNs) are employed for image and video content assessment. Real-world applications, such as flagging inappropriate posts, restricting access to harmful media, and managing user reports, are examined to highlight the system's efficacy.
Additionally, the paper emphasizes the importance of transparency, user privacy, and bias mitigation in designing these systems. Case studies from leading social media platforms illustrate the impact of automated moderation on reducing harmful content and fostering healthier online communities. By advancing the capabilities of automated systems, this research underscores their pivotal role in the evolving digital landscape, offering scalable solutions to the challenges of modern content moderation.
Mechanisms of PFAS Degradation in Thermal Destruction Processes
Authors: Chalivendra Saikumar
Published: December 2024

Through this research, information on methods of PFAS degradation through thermal destruction processes and analysis of the efficiency of degradation by temperature and conditions in the atmosphere is provided. These experiments were carried out at different temperatures from 400°C to 1,200°C under both reducing and oxidizing setter gases. The findings suggest that temperature plays a big role in rates of degradation with oxidative conditions promoting destruction of PFAS. The results obtained showed that at temperatures of 900°C and above degradation efficiency was over 90% as well as low content of toxic compounds. The developed study suggests that oxidative thermal destruction at high temperatures can be a viable technique for the degradation of PFASs, but heat energy consumption and formation of by-products should be well controlled.
Review on Various Type of Vaccines for Controlling Infectious Disease
Authors: Anamika  , Khanka Sakshi , Chandra Geetika , Singh Kritika , Jamloki Deepshikha , Naaz Farha , Gupta Bhavya
Published: December 2024

Background: Vaccines have played a critical role in the prevention and treatment of infectious diseases, greatly lowering worldwide morbidity and mortality. This review examines many forms of vaccinations. In contrast, inactivated vaccines, such as the polio vaccine, are safer for immunocompromised people, they frequently require booster shots. Aim: This review emphasises the importance of vaccinations in public health and the need for innovation to tackle future infectious disease threats. The introduction of new pathogens has prompted the creation of novel vaccination platforms, including mRNA and viral vector vaccines. mRNA vaccines, such as those used to treat COVID-19, use genetic instructions to direct cells to manufacture antigens, resulting in strong immunity. Conclusion: These vaccines have demonstrated excellent efficacy and rapid scaling, making them valuable instruments in pandemics. This review emphasises the necessity of designing vaccine methods that meet individual illnesses, demographics, and logistical obstacles. While vaccinations have considerably reduced the occurrence of infectious diseases, more research is needed to address future threats, improve vaccine efficacy, and overcome obstacles such as vaccine reluctance and global inequities. Understanding the capabilities and limits of each vaccine type will help researchers and policymakers better equip healthcare systems to address current and future infectious disease concerns.
Liberalism Revisited: The Most Relevant Political Theory for Today's Global Challenges
Authors: Tirkey C. Anupa
Published: December 2024

Liberalism has evolved over centuries to become the cornerstone of modern political and economic systems. Rooted in Enlightenment principles, liberalism promotes individual rights, democracy, and free markets as essential components of a just society. Despite its evolution, liberalism has remained central to contemporary political discourse, offering solutions to global challenges such as human rights violations, authoritarianism, and economic inequality. This paper examines the evolution of liberalism, its key principles, its contemporary relevance, and the criticisms it faces in the present age, arguing that liberalism remains the most adaptable and relevant political theory in today's world.
Application and Software Security: Studying How to Secure Applications and Software from Vulnerabilities and Attacks
Authors: Abo Mhara Mustafa Ahmed Othman , Abdulrahman Abdullah Abdulsalam Abdulqadir
Published: December 2024

Application and software security are essential for protecting digital systems from a growing multitude of attacks. With the advancement of technology, application vulnerabilities have emerged as a main target for attackers, resulting in substantial financial, operational, and reputational harm. This research examines critical elements of application security, including prevalent vulnerabilities, attack routes, threat models, and the tools and technologies used to minimize risks. It emphasizes the need of incorporating security measures throughout the software development lifecycle (SDLC) and complying with legal frameworks such as GDPR, HIPAA, and PCI DSS. The study investigates difficulties such the growing complexity of applications, accelerated development cycles, and the evolving threat environment, necessitating enterprises to implement proactive security strategies. Recommendations include the adoption of safe coding standards, use of sophisticated security tools, improvement of authentication procedures, and promotion of a security-oriented culture via education and cooperation. This research underscores the need for a holistic and flexible strategy to guarantee the resilience of applications against emerging cyber threats.
Enhancing SAP System Performance on AWS with Advanced HADR Techniques
Authors: Bhatt Sachin
Published: December 2024

This paper investigates on the effectiveness of modern High Availability and Disaster Recovery (HADR) methods on the SAP system in an AWS environment. It measures changes in effectiveness of response time, throughput, and system availability among others. Based on the real-life experience provided by AWS, the research reveals improvements in terms of performance, availability, and safety made possible by more sophisticated HADR solutions created on AWS’s elastic infrastructure. The paper also covers issues like cost and difficulty of performing these techniques among other issues. This paper establishes that incorporating elevated HADR approaches in AWS significantly boosts SAP agility and afford vital, sound solutions enabling business sustainability and performance.
Deep Learning Approaches for Pulmonary Nodule Classification: A CNN Algorithm for Enhanced
Authors: Ahmed Rafik
Published: December 2024

For the purpose of making a preliminary diagnosis of lung cancer, computed tomography, or CT, is frequently utilized to find pulmonary nodules. However, as a result visual similarities among non-cancerous and cancerous nodules, identifying malignant from cancer nodules is not easy for doctors to accomplish. Here, a novel Convolution Neural Network architecture known as ConvNet is suggested to classify lung nodules as malignant or benign. A multi-scale, multi-path architecture is developed and utilized to increase the classification performance. This is done since there is a large variance in the nodule characteristics that are displayed in CT scan images, like Shape and Size. The multiple scale method makes use of filters of varying sizes to extract nodule features from local regions in a more efficient manner, and the multiple path architecture combines features extracted from various Convolution Network layers in order to improve the nodule features in relation to global regions. Both of these methods are part of the multi-path architecture. The LUNGx Challenge database is used to train and assess the proposed ConvNet, and it obtains specificity of 0.924, sensitivity of 0.887, and AUC of 0.948. The suggested Convolution Network is able to obtain an AUC improvement that is 14 percent higher than the current state-of-the-art unsupervised learning technique. The proposed Convolution Network also performs better than the previous state-of-the- art Convolution Networks that were specifically created for the categorization of pulmonary nodules. The suggested Convolution Networks has the potential to aid radiologists in making diagnostic judgments during CT screening when it is utilized in clinical settings.
Artificial Intelligence in Quality Assurance for Software Systems
Authors: Bussa Santhosh
Published: December 2024

The rapid advancement in software development has taken place with the invention of a new quality assurance (QA) process for producing robust, reliable, and efficient systems. Artificial Intelligence is a "force of change" that promises automating most QA activities with promising predictive insight into the generation of dynamic test cases and intelligent detection of defects. This paper covers the theme of integrating AI with SQA through techniques such as Machine Learning, Natural Language Processing, and Neural Networks. The paper covers automation of testing, AI-driven management of defects, and enhancement of user experience as well as challenges and limitation that is encountered while implementing AI within QA. A glimpse of emerging trends illustrates the dynamic landscape of AI-driven QA.
Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods
Authors: Bhatt Sachin , Narne Suman
Published: December 2024

An evaluation of various tools and activities in the process of the OS/DB migrations in SAP context is the goal of this research paper. They assess the major instruments that are SAP Software Update Manager (SUM) together with Oracle Goldengate and migration approaches like Standard Migration also, Near-Zero Downtime Migration (NZDM). Each of the tools is described in terms of the features it offers, advantages, and disadvantages it has in comparison with the other tools, and the real-life applications of the tools are analysed. Examples include best practice examples, which point out and explain both opportunities and issues. The paper concludes by reiterating key points, as well as general factors to bear in mind during an actual migration such as planning, selecting tools, testing the migration, and support during and after migration. The findings contribute to the body of knowledge useful in enhancing OS/DB migration plans in SAP systems.
Fabrication and Testing of a Miniature Multi-Band Monopole Antenna
Authors: Kumar Hitesh
Published: December 2024

The multi band monopole antenna is high demand on wireless applications with multi frequency bands. This work describes the design, implementation, and performance analysis of a fixed Multi monopole antenna. Two etched monopoles of varying lengths printed on the same side of an electrically thin substrate. The monopoles are linked by a series microstrip line with a tuning stub. The substrate used in this design is FR4 with thickness of 1.6 mm. The antenna performing at three operating bands at center frequencies: 1.8, 2.4, and 4.5 GHz. The multi band antenna for all 2G-5G communication applications A numerical approach called FDTD (Finite Difference Time Domain) is used to simulate the proposed antenna. The gain is approximately 3.4 dBi across the two operating bands. A low-loss and compact multi monopole antenna having measurements 75 × 45 mm suitable for GSM, WLAN and 5G applications are realized. The modeling and measurement results for the reflection coefficient and radiation pattern are compared.
Correlation of CA125, and Some Mineral in the Progression of Breast Cancer in Pre- and Postmenopausal Iraq Women
Authors: Alrazaq Sura Ali Abid , Abed-Alkareem Rand Arkan , Al Zehhawi Dalya Jalal Al Zehhawi
Published: December 2024

Background: Breast cancer presents a severe threat to women's health worldwide, as it is the most often diagnosed cancer and the primary cause of mortality for female patients.
The aim of this study was to study the relationship between Ca 125 and insulin with some chemical tests in order to know the relationship between them and therefore the speed and accuracy in diagnosing breast cancer in women early.
Material and method: In this research, there are 160 participants (age 21 - 61 years) divided into three groups. The first group included 50 (group A) that represented Premenopausal .The second group included 55(group B) that represented postmenopausal the A and B group suffering breast cancer who visited Baghdad Medical City Hospitals-Bab Al-Moadham and the third group control group (55 participant). The blood (5ml) was drawn from every participant to separate the serum. The serum was used to measure (CA125, Insulin, C-RP, Mg, Iron and Ca).The results showed there is significantly an increase in the level of CA125 and C-RP in the serum of menopause women with breast cancer but the insulin non significantly different between study group.  In addition, there is significantly slightly increase in the level of Mg, Iron and Ca in the serum of breast cancer women than control group.
As conclusion: The relationship between Ca 125 was positive and of clinical significance for disease progression. CR-P, which developed a lot because it was a strong indicator of inflammation. As for the prognostic elements (Mg, Iron and Ca), they were of great importance in their association with the disease, and therefore it may be an important indicator in the early diagnosis of the disease. The serum levels of CA125 and CR-P were demonstrated to be of great value in the management of patients with breast cancer, and could serve as predictive indicators and for monitoring the course of disease.
Article Review: The Disorders of Sex Development (DSD) According to the Type of Gonad Found in the Patient
Authors: Abed-Alkareem Rand Arkan , Al Zehhawi Dalya Jalal , Abid Alrazaq Sura Ali
Published: December 2024

Sexual development disorders (DSD) are categorized based on the patient's gonad type (ovary, testicle, or ovary). abnormalities of gonadal development and abnormalities of androgen synthesis or action are currently recognized etiologies and are classified as Mendelian. Sex determination and sex differentiation are the two successive stages of human sexual development. The expression of gene networks that guide the development of undifferentiated dipotent gonads into testes or ovaries is referred to as "sex determination." Throughout fetal development and adulthood, the testicles and ovaries release hormones that encourage additional gender differentiation in the body. DSD is caused by mutations found in the genes that regulate both steps. A comprehensive history, physical examination, and appropriate diagnostic testing are needed to determine the underlying etiology.
Congenital abnormalities known as disorders of sex development occur when chromosomal, gonadal, or anatomic sex development is abnormal. A substantial public health burden is associated with DSD, a group of chronic medical diseases that collectively afflict approximately 1% of the population and often necessitate lifetime care from numerous experts. Certain life-threatening conditions, like adrenal crises in congenital adrenal hyperplasia, are linked to DSD. Infertility, cancer, gender dysphoria, psychosocial suffering, and widespread obstacles to health-related quality of life for patients and their families are all linked to DSD.
A condition known as ambiguous genitalia occurs when it is difficult to determine a person's sex by their outward appearance. Males with ambiguous features and hypovirilization (micropenis, II absence of scrotal fusion, incomplete testicular descent, hypospadia) or females with ambiguous features and virilization (clitoromegaly, labio-scrotal fusion) are among the possible genital presentations.
The family history, clinical assessment and evaluation, karyotype inquiry, imaging, and molecular testing are crucial in the workup of a newborn with ambiguous genitalia. Serum gonadotropins (LH, FSH), androgens and androgen precursors (17-hydroxypregnenolone, 17hydroxyprogesterone, androstenedione, testosterone, and dihydrotestosterone), adrenal steroids (cortisol, aldosterone, and their precursors), and Müllerian inhibiting substance (MIS) are among the detailed hormone studies that are recommended.
The Relationship between Tuberculosis and Corona Virus
Authors: Shareef Saja A. , Aldulaimy Mays K. , Mohammed Walaa A.
Published: December 2024

In 2020, COVID-19 and tuberculosis emerged as significant threats to global health, with increased mortality and decreased testing due to the pandemic's impact on the tuberculosis care system. Both diseases spread through respiratory system secretions and airborne particles, with the lungs being their primary target organ. Common remedies include addressing the spread of Mycobacterium tuberculosis and addressing the underlying causes of both diseases. COVID-19 diagnostics include quick antigen test kits and RT-PCR, while tuberculosis diagnostics include chest X-rays, sputum microscopy, and RT-PCR on sputum. These methods allow for same-day active TB diagnosis, compared to culture-based testing that could take up to eight weeks. Using a range of diagnostic tools ensures that COVID-19 and TB patients are identified and treated promptly. The combined danger of TB and COVID-19 presents a significant challenge to patient quality of life. To effectively combat this combined threat, cooperation, research funding, and policy changes are necessary.
Secondary Metabolites in Plants: Their Role in Modulating the Immune Response to Viral Infections in Hosts
Authors: Ismael Shahad Basil , Ahmed Maysaa Hamid , Nakeeb Rowshen Hani Al , Jassim Tabarak Sabah
Published: December 2024

In order to create biochemical defenses from herbivores, plants generate a wide variety of secondary metabolites. Plants, fungi and bacteria produce metabolites that're essential in fighting off viral infections. These active compounds, like flavonoids, alkaloids and terpenoids have effects by stopping replication blocking viral entry and regulating the immune response of the host. Moreover these secondary metabolites can work as deterrents to lower the spread of viruses through carriers. Their ranging effectiveness makes them potential options, for developing antiviral treatments and medications. Also, several phytophagous insects have developed strong adaptations to these allergens, or by detecting, integrating, as well as analyzing these phytochemicals specifically, they employ these special molecules as their individual defense compounds, particular host-finding signals, or perhaps as sexual pheromones or its precursors. Additionally, insects are pollinators and frequently directed by certain flower scents. The ecological relevance of these secondary metabolites of plants within the wide range of virus and insect-plant relationships is shown throughout this article.
Three-Phase Transmission Line Fault Detection and Its Location
Authors: Maurya Shailesh Kumar
Published: December 2024

Nowadays, the per capita consumption of Electrical Energy is a parameter of any country's Development. In India, we are working on improving Transmission Line Efficiency by using semiconductor drives and information technology to increase the per capita electrical energy consumption. This paper has the proposed model for three-phase fault detection & its location. In transmission lines, there are two types of faults: (i) symmetrical fault and (ii) unsymmetrical fault. Generally, the B Phase follows the kinds of faults in transmission line

Single Line to Ground Fault
Line-to-Line Fault
Double Line to Ground Fault

This article used an IoT application to detect faults and their locations.