bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative analysis of the maritime ISR capabilities of India and China in the IOR
Authors: Mirwankar Yashodhan
Published: October 2024

Intelligence, Surveillance, and Reconnaissance systems (ISR) have been playing a significant role in providing robust situational awareness of the maritime domain. This paper presents a comprehensive analysis of the ISR systems of India and China in the Indian Ocean Region (IOR), a region of immense geopolitical significance and a theatre of power projection for both the countries. After tracing the evolution of ISR from ancient time to modern era, the study underscores the critical role of ISR in maritime security and strategic advantage, particularly in the IOR. The paper finds that, in accordance with its Two Ocean strategy, China has been expanding its ISR infrastructure in the IOR. Chinese naval activities, including submarine deployment, research vessels suspected of conducting covert surveillance in the eastern Indian Ocean, classified use of its satellite systems, use of air based ISR systems as force multipliers, and acquisition of bases in the IOR has potential to alter power dynamics in the IOR. These developments allow China to exert geopolitical influence and potentially challenge India’s traditionally dominant position in the IOR. The paper further delves into examining factors influencing the ISR force structure of India and China, including defence expenditure, military modernisation drive, development in Defence Industrial Base (DIB), and the role of commandand-control structure. Finally, this research tries to provide recommendations for India to enhance its ISR infrastructure, emphasizing the need to invest in HUMINT and TECHINT capabilities and enhanced inter-agency coordination. Overall, the paper provides a comprehensive assessment of the ISR landscape in the IOR.
КИЧИК БИЗНЕС ВА ХУСУСИЙ ТАДБИРКОРЛИКНИ РИВОЖЛАНТИРИШ МАСАЛАЛАРИ
Authors: Исраилов Рустам
Published: October 2024

Миллий давлат шаклланишининг ҳозирги босқичи миллий ҳуқуқ тизимини демократлаштириш ва такомиллаштириш билан тавсифланади. Бундай шароитда жаҳон ҳамжамиятлари тажрибасини ҳисобга олган ҳолда Ўзбекистоннинг қонунчилик базасини шакллантиришга алоҳида эътибор қаратилмоқда. Ушбу мақолада бизнес ва корхона тушунчалари ўртасидаги фарқ, уларни ривожлантиришга йўналтирилган қонунчилик ва меъёрий-ҳуқуқий база ислоҳотлари, ҳамда кичик бизнес ва хусусий тадбиркорликни иқтисодий ўсишга ва миллий иқтисодиётни жаҳон иқтисодиётига интеграцияси имкониятлари ёритиб берилган.
ЖАДИД МУТАФАККИРЛАРИ ИЖОДИДА ТАРБИЯГА ОИД ҚАРАШЛАРНИНГ ФАЛСАФИЙ ТАҲЛИЛИ
Authors: Нуралиева Насиба
Published: October 2024

Ушбу мақолада жадид намоёндаларини Ватанимиз тараққиётига, миллат маънавияти, унинг тарихи, замонавий турмуш тарзи,  урф одат-анъаналари , ҳаётий қадриятларидан холи тарзда эмас, кўхна тарихий қадриятларимизни тиклаш ва ривожлантиришга қўшган хиссаси тўғрисида маълумотлар берилган.
“BOBURNOMA”NING YAPONIYADA O‘RGANILISHI
Authors: Yusupova Sadokat
Published: October 2024

Ushbu maqolada buyuk sarkarda, shoh va shoir Zahiriddin Muhammad Boburning hayoti, ijod yo‘li, Bobur va boburiylar sulolasi tarixi xorijiy mamlakatlarda o‘rganilishi, xususan, Yaponiyada “Boburnoma” asosida yaratilgan asarlar, tanqidiy matnlar talqin va tahlil etilishi masalalari aniq faktlar asosida o‘rganiladi.  Bundan tashqari maqolada Yaponiyalik boburshunos olimlardan Keykichi Xukazava, Toshiyuki Etani, Kyuzo Kato hamda yetakchi sharqshunos olim Eyji Manoning tanqidiy matn va asarlari o‘rganiladi.
VOYAGA YETMAGAN SHAXSLARNI MODDIY TA’MINLASHDAN BO‘YIN TOVLASHNING O‘ZIGA XOS XUSUSIYATLARI
Authors: Ikramov Sherzod
Published: October 2024

Maqolada voyaga yetmagan shaxslarni moddiy ta’minlashdan bo‘yin tovlagan shaxslarning kriminologik tavsifi, voyaga yetmagan shaxslarni moddiy ta’minlashdan bo‘yin tovlash tushunchasi, sodir etilgan jinoyatning xususiyatlari, jinoyat sodir etgan shaxslarning ma’lomuoti hamda sud-tergov amaliyotidan misollar keltirilgan.
KO‘RISHDA NUQSONI BOR SHAXSLARNING IJTIMOIY UMIDSIZLIK DARAJASINI PSIXOLOGIK O‘RGANISH. (L.I.VASSERMANNING “IJTIMOIY FRUSTRATSIYA (UMIDSIZLIK) DARAJASINI DIAGNOSTIKA QILISH METODOLOGIYASI” ASOSIDA)
Authors: Tohirova Mohigul
Published: October 2024

Ushbu maqolada jahonda va O‘zbekistonda ko‘rishda nuqsoni bor shaxslar ijtimoiylashuvining pegagogik va psixologik omillarini o‘rganilgan. Shuningdek, maqolada ko‘rishda nuqsoni bor shaxslarning o‘ziga xos psixologik xususiyatlari va ularning ijtimoiy umidsizlik darajasini L.I.Vassermanning “Ijtimoiy frustratsiya (umidsizlik) darajasini diagnostika qilish metodologiyasi” asosida tahlil etilgan.
BUXORO JADIDLARI VA YANGI USUL MAKTABLARIDA O‘QITISH IMKONIYATLARI
Authors: Ashurova Marhabo
Published: October 2024

Bugungi kunda jahonning rivojlangan davlatlaridan kirib kelayotgan turli xildagi yangiliklar ayniqsa ilmiy-madaniy yangiliklar dunyo mamlakatlari tomonidan turlicha kutib olinmoqda. Bu boradagi fikrlar va qarashlar xilma-xilligi esa ilmiy jamotchilik tomonidan turli munozaralarga sabab bo‘lmoqda. XIX asr oxiri-XX asr boshlarida O‘zbekistonda ilm-fan, madaniyat rivojlanish bosqichida Buxoro jadidlarining xizmatlarini ham alohida aytib o‘tish joiz. Jadidlar mamlakatda yangiliklar joriy qilish tarafdori bo‘lgan. Ayniqsa ular olib borgan yangi usuldagi maktablarning o‘qitish usullari va imkoniyatlari bugungi kun uchun muhimdir.
Impact of Teachers’ Psychological Well-Being on Usability of Systematic Guidance for Constructing Achievement Test Items
Authors: Ramdan Zyaliah @ Maya , Andin Chritina , Baharum Aslina
Published: October 2024

Assessment in education is crucial for revealing student achievement potential and motivating learners. Teacher-made tests, a common assessment tool, must be well-designed and aligned with learning objectives to measure student performance effectively. The Systematic Guidance System (SiPantik) was developed to assist teachers in constructing quality test items. This study evaluates SiPantik's usability and its impact on teachers' psychological well-being. Using the USE Questionnaire, the study investigates how the system's ease of use, usefulness, and satisfaction reduce stress and enhance teachers' sense of competence and control. The findings indicate that SiPantik is perceived as a supportive and efficient tool that positively influences psychological well-being by reducing administrative burdens and making the teaching process more enjoyable. The study underscores the importance of user-centric design in educational tools, as the usability and satisfaction provided by SiPantik are closely linked to improved job satisfaction, mental health, and overall life satisfaction. The positive impact of SiPantik highlights the broader benefits of well-designed systems in fostering a supportive and productive educational environment.
Penyelesaian Masalah bagi Kes-Kes berkaitan dengan Pelancongan
Authors: Dahlan Nur Khalidah , Idris Adib Haikal
Published: October 2024

Sektor pelancongan di Malaysia yang berkembang pesat telah menjadi salah satu punca utama pendapatan negara. Kaya dengan pelbagai warisan budaya, tarikan semula jadi, dan infrastruktur moden, Malaysia telah muncul sebagai destinasi terkemuka untuk pelancong antarabangsa dan domestik. Tidak dinafikan industri pelancongan dan hospitaliti telah diiktiraf sebagai antara faktor utama yang menyumbang kepada pertumbuhan ekonomi negara. Namun demikian, dengan perkembangan ini, timbul pelbagai pertikaian dalam sektor pelancongan, termasuk isu-isu yang melibatkan frod, salah faham kontrak, pematuhan undang-undang, dan keselamatan. Pertikaian ini sering memerlukan penyelesaian melalui mahkamah atau penyelesaian pertikaian alternatif (PPA) seperti pengantaraan, timbang tara dan perdamaian. Dalam kertas ini, perbandingan antara penyelesaian pertikaian melalui mahkamah dan PPA dianalisis. Kajian ini bertujuan untuk menilai keberkesanan setiap kaedah dalam menyelesaikan isu-isu pelancongan dan mencadangkan penambahbaikan mekanisme penyelesaian yang sedia ada. Analisis juga termasuk impak pertikaian terhadap pihak berkepentingan seperti pelancong, perniagaan, dan sistem undang-undang. Tambahan pula, perbandingan antara kedudukan Malaysia dan Australia dalam menangani pertikaian turut dibincangkan bagi memperkaya pemahaman tentang amalan terbaik dalam industri ini.
Mengukur Tahap Kesediaan Perkongsian Pengetahuan Pekerja
Authors: Ahmad Kamsuriah , Veeraperumal Vijayasanthiri
Published: October 2024

Perkongsian pengetahuan dalam organisasi bergantung sepenuhnya kepada penglibatan pekerja. Tanpa kesediaan pekerja untuk terlibat dalam perkongsian pengetahuan, pengetahuan yang dimiliki akan hilang apabila pekerja meninggalkan organisasi. Pekerja tidak mempunyai kesediaan dalam aktiviti perkongsian pengetahuan apabila tidak mempunyai keinginan dan niat untuk berkongsi pengetahuan. Antara masalah utama pekerja enggan berkongsi pengetahuan adalah mereka tidak berupaya menjana pengetahuan baharu yang dapat dikongsi bersama, tidak mempunyai motivasi, kurang yakin dengan kemampuan dan pengetahuan yang dimiliki, tiada kepercayaan dan tiada kepuasan bekerja. Berdasarkan kepada permasalahan ini, kajian ini mengenal pasti lima elemen perkongsian pengetahuan iaitu kemahiran berbentuk-T, motivasi, efikasi diri, kepercayaan dan kepuasan kerja untuk memahami tahap kesediaan pekerja untuk berkongsi pengetahuan. Lima elemen ini diguna untuk mengukur tahap kesediaan pekerja berkongsi pengetahahun dengan menggunakan kaedah pengukuran Aydin dan Tasci (2005). Di samping itu, kajian ini juga mengkaji hubungan antara lima elemen perkongsian pengetahuan pekerja dengan tahap kesediaan perkongsian pengetahuan. Kaedah kuantitatif dan borang soal selidik diguna sebagai instrumen kajian manakala Jabatan Hal Ehwal Kesatuan Sekerja (JHEKS) telah dipilih sebagai domain kajian. Dapatan kajian menunjukkan tahap kesediaan perkongsian pengetahuan kakitangan di JHEKS berada pada tahap bersedia dan memerlukan sedikit penambahbaikan. Kajian ini mempunyai nilai yang signifikan bagi organisasi yang ingin mengamalkan perkongsian pengetahuan dan mengenal pasti kesediaan pekerja untuk terlibat dalam amalan ini. Malahan, cadangan penambahbaikan turut disertakan sekiranya organisasi tidak mencapai tahap kesediaan yang baik dalam amalan ini. Dalam bidang penyelidikan, kajian ini mampu menjadi input dalam bidang perkongsian pengetahuan berdasarkan kepada aspek pekerja.
The Psychodynamics of Emotional Deficit: Relationship with Eating Disorders
Authors: Helsing M.
Published: October 2024

The article examines eating disorders as a result of the emotional deficit experienced in early childhood and the associated internal conflicts. "The lack of warmth, care, and emotional support from loved ones forms deficient attachment patterns and compensatory food dependencies in adulthood." As a result of applying psychodynamic hypnotherapy in the treatment of eating disorders, a relationship with the deficit of emotional states was revealed. When compensating for the emotional state deficit during the treatment process, a stable result was obtained not only in the improvement of eating behavior, but also in other areas of the patient's life.
Comparison of the Results of Different Surgical Techniques in the Treatment of Chronic Subdural Hematoma in a Training and Research Hospital
Authors: Baykal Duygu , Başaran Gündoğdu Elif
Published: October 2024

Background: Chronic subdural hematoma can cause compression of brain tissue followed by neurological deficits. There are several methods for the treatment of chronic subdural hematoma, but the most appropriate treatment is still controversial. we compared 5 different surgical methods applied by five different surgeons in a single center and we suggest the most appropriate treatment method in the literature.
Methods: In this study, the files of patients diagnosed with chronic subdural hematoma who underwent surgery at the Neurosurgery Clinic of S.B.U. Bursa City Hospital were retrospectively examined. The patients were evaluated in terms of their complaints, neurological examinations, type of operation, use of subdural drain and postoperative complications. Five different surgical techniques were applied to the patients.
Results: We collected data from 185 patients who underwent surgery due to chronic subdural hematoma. Different surgical techniques were used in the treatment of patients. Only one burr hole was opened in 22 of the patients, one burr hole was opened in 40 of them and 1 drain was placed in the subdural space, only two burr holes were opened in 41 of them, two burr holes were opened in 58 of them and 1 drain was placed in the subdural space, and mini craniotomy was performed in 24 patients.
Conclusion: Five different surgical methods used in the treatment of chronic subdural hematoma have advantages and disadvantages. We believe that a study conducted by increasing the number of patients, ensuring homogenization of groups, and increasing surgical techniques will shed light on the literature.
PENGEMBANGAN SISTEM IOT UNTUK PEMANTAUAN KESEHATAN DOMBA DENGAN ALGORITMA C4.5 BERBASIS THINGSPEAK
Authors: Nugraha Fahmi , Wijaya Anderias Eko , Hermawan Rian , Sobari Dicky Iskandar
Published: October 2024

Effective livestock health monitoring is one of the primary challenges in modern farming, especially in detecting early health disorders in sheep. This research aims to develop a sheep health monitoring system based on the Internet of Things (IoT) using the C4.5 algorithm and the ThingSpeak platform. The system collects vital sheep data such as body temperature, heart rate, sound, and physical activity in real time through sensors and microphones connected to IoT devices. The data is then transmitted to the ThingSpeak platform for analysis and storage.
The C4.5 algorithm is used to build a decision model capable of classifying the health conditions of sheep based on collected parameters such as temperature, heart rate, and respiration. The processed data results are displayed in the form of graphs and warning notifications on the ThingSpeak platform, allowing farmers to monitor livestock health easily and responsively.
The accuracy test yielded a 90% accuracy rate using a confusion matrix with a data sampling split of 80% for training data and 20% for testing data. This indicates that the system has a high level of accuracy in detecting sheep health conditions. Consequently, the system has the potential to assist farmers in improving the efficiency of livestock health monitoring automatically and in real time. Moreover, the application of IoT technology and the C4.5 algorithm in the livestock sector is expected to provide innovative solutions to support productivity and animal welfare.
On the Non-Commuting Graph of the Group U6n
Authors: Khasraw S. M. S. , Abdulla C. , Sarmin N. H. , Gambo I.
Published: October 2024

Let G be a finite group. The non-commuting graph of G is a simple graph Γ(G) whose vertices are elements of G∖Z(G), where Z(G) is the center of G, and two distinct vertices a
and b are joint by an edge if ab≠ba. In this paper, we study the non-commuting graph of the group U6n. The independent number, clique and chromatic numbers of the non-commuting graph of the group U6n, Γ(U6n), are determined. Additionally, the resolving polynomial, total eccentricity and independent polynomials of Γ(U6n) are computed. Finally, the detour and eccentric connectivity indices of Γ(U6n) are found.
Bernstein Operational Matrix for Solving Boundary Value Problems
Authors: Wahab, N. E. A. , Misro, M. Y.
Published: October 2024

This paper outlines a numerical method called the Bernstein operational matrix of derivative (BOMD) of order two and order three with the approach of the Chebyshev collocation technique to solve boundary value problems (BVP). BOMD with suitable collocation points is implemented to solve the BVP using the linear combination of Bernstein polynomials with unknown coefficients to approximate the solutions. The derivatives featured in the problem sets will be approximated by utilizing the matrix. The subsequent examination involves a mathematical analysis of the proposed method, including evaluating its order, absolute error metrics and comparative assessments with alternative methodologies. Four problems involving linear and non-linear equations and systems, along with practical real-world problems, are addressed to assess the reliability of the proposed method.
Strong Solutions of Brusselator System
Authors: Khitam, A. H. A. , Al-Juaifri, G. A.
Published: October 2024

The study involves a mathematical analysis of the Brusselator system on a convex bounded three-dimensional open domain, considering Neumann boundary conditions. We establish the global existence and uniqueness of the strong solution for this system. Achieving high regularity for the strong solution requires stringent conditions on the initial data. The study demonstrates the continuous dependence of the solution on the initial conditions.
Determination of some NSAIDs content in meat by liquid chromatography with tandem mass spectrometry (LC-MS/MS)
Authors: Phung Cong Ly , Tran Trung Thanh , Nguyen Thi Hong Ngoc , Tran Vu Duc , Nguyen Thi Thuy Linh ,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   Hanoi University of Pharmacy, Hanoi, Vietnam,   Hanoi University of Pharmacy, Hanoi, Vietnam
Published: October 2024

Nonsteroidal anti-inflammatory drugs (NSAIDs) are the most widely used group of drugs worldwide for pain relief, anti-inflammation, blood clot prevention, and fever reduction, but they can cause some side effects bad for health if used incorrectly. NSAIDs are on the list of drugs that must be monitored according to Council Directive 96/23/EC. The fact that NSAIDs are also used in animals for anti-inflammation, fever reduction, and pain relief raises concerns that animal products such as meat, eggs, and milk may be contaminated with NSAIDs, affecting human health if consumed like eating right. Therefore, developing a method to analyze NSAIDs in meat products is necessary, contributing to assessing the quality of meat products currently circulating on the market. In this study, 4 common substances in the NSAIDs group were studied and identified by liquid chromatography with tandem mass spectrometry (LC-MS/MS) using a Symmetry C18 chromatographic column with an ESI (+) positive electron spray ionization source and multiple reaction monitoring (MRM) mode. The validity of the method was confirmed according to the guidelines of the Association of Official Analytical Chemists (AOAC). The results showed that the method has good specificity, the linearity range from 5.0 to 100 µg/kg, the detection limit of 1.5 µg/kg, the quantification limit of 5.0 µg/kg; precision and accuracy with relative standard deviation (RSD) less than 11% and recoveries ranging from 81.1 to 111%, meeting AOAC requirements. The method was used to analyze the content of NSAIDs in 15 meat samples in Hanoi. The results showed that 7 samples showed tolfenamic acid exceeding the quantitative limit of the method.
Assessment of arsenic concentration in rice and risk characterizations in some provinces in the Red River Delta region
Authors: Nguyen Thi Phuong Mai , Dinh Thi Diu , Nguyen Manh Khai , Pham Thanh Nam , Duong Thi Hanh ,   Faculty of Environmental sciences, University of Science, Vietnam National University, Hanoi, Viet Nam,   Faculty of Environmental sciences, University of Science, Vietnam National University, Hanoi, Viet Nam,   Faculty of Environmental sciences, University of Science, Vietnam National University, Hanoi, Viet Nam,   Faculty of Environmental sciences, University of Science, Vietnam National University, Hanoi, Viet Nam,   Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, Hanoi, Vietnam
Published: October 2024

Arsenic (As) is a known human carcinogen, uptake of As causes adverse health effects such as cardiovascular diseases, skin diseases, and a variety of cancers (skin, lung). Rice grain is the most consumed cereal in Vietnam and accumulates higher concentrations of As compared to other cereal crops. In this study, the As content in rice and its risk characterization in the Red River Delta region were investigated. Rice samples were collected from traditional markets in Ha Nam, Nam Dinh, Thai Binh, Hung Yen, and supermarkets in Hanoi. The results showed that the average As concentrations in rice samples from traditional markets (0.178 mg/kg; 0.058 - 0.290 mg/kg) were higher than those from supermarkets (0.147 mg/kg; 0.092 - 0.189 mg/kg) (p < 0.05). Rice samples had a total As concentration to meet National technical regulation on rice for national reserve (QCVN 06:2019/BTC). The As concentration in supermarket rice is below the maximum allowable level according to CODEX standard. The chronic daily intake for children and adults is 0.0023 mg/kg/day and 0.0010 mg/kg/day, respectively, within the allowable limits based on CODEX standards.
Study on the characteristics of sweetener reference material (aspartame, acesulfame potassium, sodium saccharin) in orange juice
Authors: Bach Thuy Anh , Doan Van Kien , Nguyen Thi Hang , Tran Thanh Son , Do Tat Thanh , Do Truc Quynh , Le Thi Phuong Thao ,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam
Published: October 2024

To conduct the validity of test results, various measures such as proficiency testing, inter-laboratory comparisons, or the use of standard samples and quality control samples, etc. may be chosen. Participation in proficiency testing or inter-laboratory comparisons is sometimes not feasible for laboratories due to objective conditions such as funding sources, lack of suppliers, or absence of a suitable program for the sample matrix and criteria needed. Therefore, the use of standard samples or quality control samples is a good option. However, most standard samples are not readily available in Vietnam and often have to be imported, which is costly, and many specific types of samples are not yet produced. In this study, sweetener standards (aspartame, acesulfame potassium, sodium saccharin) in natural orange juice and flavored orange juice were created to investigate the characteristics of these two types of reference material. The samples achieved homogeneity and stability over 360 days for natural orange juice and 530 days for flavored orange juice from the production date. The certified values of aspartame, acesulfame potassium, sodium saccharin, and the measurement uncertainty in natural orange juice were 430 ± 24.2 mg/L, 270 ± 12.0 mg/L, 258 ± 16.2 mg/L, respectively, and in flavored orange juice were 588 ± 28.4 mg/L, 711 ± 31.2 mg/L, 355 ± 20.8 mg/L, respectively, which are consistent with the concentrations of sweeteners (aspartame, acesulfame potassium, sodium saccharin) in beverages according to Circular No. 24/2019/TT-BYT of the Ministry of Health.
Prevalence of Staphylococcus aureus contamination isolated from meat and meat products in Ho Chi Minh City, Vietnam
Authors: Huynh Ngoc Truong , Tran Thi Ngoc Thanh , Phan Thi Phuong Trang ,   Viet Tin Analysis Testing Company Limited, Ho Chi Minh City, Vietnam,   Viet Tin Analysis Testing Company Limited, Ho Chi Minh City, Vietnam,   Center for Bioscience and Biotechnology, University of Sciences, Vietnam National University Ho Chi Minh City, Vietnam
Published: October 2024

To assess the prevalence of Staphylococcus aureus contamination in meat and meat products in Ho Chi Minh City, a study was conducted isolating 220 samples, comprising 120 samples of raw meat (beef, pork, and chicken) and 100 samples of meat products (Chinese sausage, raw pork sausage, fermented pork roll, dried beef, and dried chicken). Results indicated that 38 samples of meat and 27 samples of meat products were contaminated with Staphylococcus aureus, with pork and its products showing the highest contamination rates.
Applications of machine learning coupled with computer vision, electronic nose and untargeted analysis for food quality control
Authors: Nguyen Manh Son , Nguyen Duc Phong , Bui Xuan Thanh , Ta Thi Thao , Le Thi Hong Hao , Nguyen Duc Thanh ,   University of Science, Vietnam National University, Ha Noi, Viet Nam,   University of Science, Vietnam National University, Ha Noi, Viet Nam,   University of Science, Vietnam National University, Ha Noi, Viet Nam,   University of Science, Vietnam National University, Ha Noi, Viet Nam,   University of Science, Vietnam National University; National Institute For Food Control, Ha Noi, Viet Nam,   University of Science, Vietnam National University, Ha Noi, Viet Nam; Vietnam Military Medical Academy, Ha Noi, Viet Nam
Published: October 2024

Application of artificial intelligence in food quality control has been a new trend, bringing a complete change to the traditional way of food quality control, helping to shorten analysis and detection time and carrying out real time analysis due to nondestructive sample preparation, simpler operations because of using of sensors, collecting a large amount of information thanks to taking all measurement data... This article provides a preliminary view of identification, discrimination and classification of food samples based on using machine learning and deep learning models coupled with analytical data obtained from spectral measurements, using sensors instead of the nose (electronic- nose), camera and image analysis (computer vision) for food quality control purposes such as determining food freshness, authenticating origin as well as detecting adulteration of foods. The published studies show that the application of machine learning models especially in rapid analysis and sample-free analysis has great potential as an alternative to targeted analysis methods with specific analytes in samples.
Optimization of adenosine và cordycepin extraction from cordyceps
Authors: Vu Kim Dung , Nguyen Thi Hong Nhung , Nguyen Nhu Ngoc ,   College of forestry biotechnology, Vietnam national university of forestry, Hanoi, Vietnam,   College of forestry biotechnology, Vietnam national university of forestry, Hanoi, Vietnam,   College of forestry biotechnology, Vietnam national university of forestry, Hanoi, Vietnam
Published: October 2024

Adenosine and cordycepin are bioactive compounds with health benefits. Therefore, both substances are often used to assess the quality of Cordyceps products. The optimization of the extraction conditions to determine adenosine and cordycepin from products containing Cordyceps (powder, extract, and capsule samples) were studied. The samples were prepared using an ultrasound-assisted extraction, the solvent was methanol and quantification of adenosine and cordycepin by HPLC-PDA. Optimization of adenosine and cordycepin extraction conditions by Response surface methodology using the Box-Behnken design, and by using design expert software. The experimental matrix includes 17 experiments of 3 investigation factors with the running range: material/solvent ratio (1:10-1:50 g/mL), methanol concentration (5-25%), ultrasound time (30-90 minutes). The results showed the optimal conditions for the extraction of adenosine and cordycepin for Cordyceps powder samples are the ratio of raw materials:solvent = 1:40 (g/mL), methanol concentration of 17.5% and ultrasound time is 70 minutes, the mean contents of adenosine and cordycepin were 24.15 and 330.78 mg/100g, the optimal methanol concentration for the extraction process is 15% for Cordyceps extract samples, those in their were: 158.30 and 1050.78 mg/100g, the most appropriate methanol concentration is 50% for Cordyceps capsule samples, while those in their were: 23.98 mg/100g and 213.21 mg/100g, relatively. This study provides an efficient analysis method to determine the optimal extraction conditions of adenosine and cordycepin from products containing Cordyceps that can be used as a basis for evaluating the quality of these products.
The state of food safety and hygiene in bottled water production facilities in the five provinces of the Central Highlands region in 2023
Authors: Nguyen Vu Thuan , Vien Chinh Chien , Tuong Quoc Trieu , Ta Duy Hung , Do Thi Thu Huong , Pham Thi Kim Dung ,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam,   Tay Nguyen Institute of Hygiene and Epidemiology, Dak Lak, Vietnam
Published: October 2024

A cross-sectional descriptive study was conducted from March 2023 to December 2023 to assess the implementation of food safety regulations in bottled water production facilities across the five provinces of the Central Highlands region (Kon Tum, Gia Lai, Dak Lak, Dak Nong, Lam Dong) in 2023. The study evaluated food safety conditions, practices of direct production personnel, and collected bottled water samples for testing five bacterial indicators according to QCVN 6-1:2010/BYT. The results showed that the majority of facilities did not meet the criteria of physical infrastructure conditions at 74.7% (56/75), equipment and utensil conditions at 74.7% (56/75), conditions of direct production personnel at 44.0% (33/75), personal hygiene practices at 65.3% (49/75), and bottle cleaning practices at 72% (54/75). The rate of microbial contamination in bottled water products was 70.7% (53/75), of which the main contamination was Pseudomonas aeruginosa 45.3% (34/75), total Coliforms 42.7% (32/75), Clostridia 6.7% (5/75) and Streptococci feacal 2.0% (2/75). Some factors related to bacterial contamination in bottled water products are the condition of facilities, practicing personal hygiene, and practicing bottle hygiene.
Assesment of quality of Ginkgo biloba extract and dietary supplements in Vietnam market based on flavonol glycoside content and flavonoid ratio
Authors: Mac Thi Thanh Hoa , Nguyen Van Khoa , Nguyen Quang Hung , Cao Cong Khanh ,   National Institute for Food Contol, Hanoi, Vietnam,   National Institute for Food Contol, Hanoi, Vietnam,   National Institute for Food Contol, Hanoi, Vietnam,   National Institute for Food Contol, Hanoi, Vietnam
Published: October 2024

Ginkgo biloba is one of the oldest medicinal herbs in the world. It is commonly used as a dietary supplement to protect against blood circulation disorders, improve memory, and prevent cognitive decline. Currently, Vietnam and other countries have regulations in place to ensure the quality of Ginkgo biloba extract in their pharmacopoeia. In this study, the quality of 11 raw materials and 120 dietary supplement products containing ginkgo extract was evaluated based on flavonol glycoside content and the ratio of component flavonoids. The results revealed a significant number of unsatisfactory samples, highlighting the need for closer monitoring of quality products to protect consumer rights.
Isolation, selection and identification of lactic bacteria from pickled salt lotus root in Giang Thanh district, Kien Giang province
Authors: Huynh Van Quoc Canh , Le Bich Tuyen , Danh Trung Tinh , Tran Thi Tuyet Nhi , Ho Quoc Viet , Nguyen Van Thuan ,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam,   Faculty of Food Science and Health, Kien Giang University, KienGiang, Vietnam
Published: October 2024

The study was conducted to isolate, select, and identify the lactic acid bacteria strain with the highest lactic acid fermentation ability from pickled lotus root products in Giang Thanh district, Kien Giang province. From three samples of pickled lotus root collected in Giang Thanh district, 11 lactic acid bacteria strains were isolated and preliminarily identified through colony morphology and some biochemical reactions such as Gram staining and catalase reaction. The results of determining the fermentation type showed that all 11 isolated bacterial strains had a homomorphic fermentation type, the main fermentation product was lactic acid. Of which, strain D15 had the highest lactic acid content, reaching 1.87 mg/mL and had the highest biomass growth ability, with an OD600nm value of 0.947. The 16S rRNA gene sequence of strain D15 was determined with a molecular size of 1469 bp. Comparing the 16S rRNA gene sequence of strain D15 on the gene bank, it has a similarity level of 100% with some lactic acid bacteria strains of the species Lactobacillus plantarum and 99.68% when comparing with the 16S rRNA gene sequence of the standard strain Lactobacillus plantarum. Constructing a phylogenetic tree and evaluating the genetic relationship of strain D15, the standard strain Lactobacillus plantarum, and 9 strains with the highest similarity to strain D15 based on the 16S rRNA gene sequence. The results were classified into 2 large groups with a similarity level of 92%, in which strain D15 is in the same group as the standard strain Lactobacillus plantarum and also has a similarity level of 92%.
Machine learning and deep learning models applied to identification and classification of mango
Authors: Nguyen Duc Phong , Nguyen Manh Son , Nguyen Manh Ha , Bui Xuan Thanh , Ta Thi Thao , Nguyen Thi Van Anh , Le Thi Hong Hao , Nguyen Duc Thanh ,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam,   Viet Nam University of Traditional Medicine and Pharmacy, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam; National Institute for Food Control, Hanoi, Vietnam,   University of Science, Vietnam National University - Hanoi, Hanoi, Vietnam; Vietnam Military Medical Academy, Hanoi, Vietnam
Published: October 2024

This study utilizes the data published on the website https://data.mendeley.com/ datasets/46htwnp833/2, which includes visible-near-infrared (Vis-NIR) spectral data at wavelengths ranging from 309 nm to 1149 nm for 11691 mangoes in Australia, collected from 10 mango varieties across 2 different growing regions. The research developed machine learning models with open-source programming language Python such as: principal component analysis (PCA) combined with support vector machines (SVM), decision trees (DT), random forests (RF), and artificial neural networks (ANN); partial least squares model combined with discriminant analysis (PLS-DA); and a deep learning model 1-dimensional convolutional neural network (1D-CNN). The preprocessing steps were caried out based on the full spectral data with second derivative, smoothing using the Savitzky-Golay algorithm, and data balancing via a new Synthetic Minority Oversampling Technique (SMOTE). The results demonstrated that applying the SMOTE data preprocessing technique before running the machine learning models significantly enhanced classification accuracy. Furthermore, using a 1D-CNN model with a complex structure provided higher classification efficiency than conventional machine learning models. The accuracy of the 1D-CNN model in classifying mango ripeness, mango variety, and growing location was 99.40%, 94.35%, and 96.92%, respectively. The 1D-CNN deep learning model is well-suited for sample classification when dealing with large datasets containing tens of thousands of samples based on spectral data.
Applications of capillary electrophoresis with capacitively coupled contactless conductivity detector (CE-C4D) for the determination of glucosamine, vitamin B6 and minerals
Authors: Nguyen Linh Trang , Nguyen Thi Thao Nguyen , Nguyen Quang Huy , Do Yen Nhi , Luu Thi Huyen Trang , Vu Thi Trang , Le Duc Dung , Hoang Quoc Anh , Pham Gia Bach , Pham Thi Ngoc Mai , Le Thi Hong Hao , Nguyen Thi Anh Huong ,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam,   Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen, Vietnam,   National Institute for Food Control, Hanoi, Vietnam,   Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam
Published: October 2024

Capillary electrophoresis with capacitively coupled contactless conductivity detector (CE-C4D) is renowned for its numerous advantages, such as compact equipment, low cost of setup and operation, simplicity in functionality, and minimal use of samples and chemical solvents. This method has been applied across various fields, including environmental analysis, forensic science, biochemistry, pharmaceuticals, and food science. In this study, the CE-C4D method was applied to determine the presence of glucosamine, vitamin B6, and certain minerals in dietary supplements. Notably, glucosamine was simultaneously determined with calcium, and vitamin B6 with magnesium. The method was validated to meet the requirements of AOAC. The detection limits achieved for calcium, glucosamine, vitamin B6 and magnesium were 0.05 ppm; 0.50 ppm; 0.10 ppm and 1.00 ppm, respectively. The concurrent determination of active substances with different properties within a single product is crucial, optimizing analytical efficiency and yielding high accuracy for the analysis.
Impact of COVID-19 on Indian biomedical research: A bibliometric analysis using online data from 2017 to 2022
Authors: Patralekh Mohit , Vaishya Raju , Vaish Abhishek
Published: October 2024

Objective. The global pandemic caused by the SARS-CoV-2 virus has led to a notable surge in research productivity across many academic disciplines, except research specifically focused on the virus. A significant increase in published research articles evidences this. In this study, we have analyzed the impact of the pandemic on recent publication trends in India by comparing data from three years before the pandemic with data from three years following the pandemic. Additionally, we have considered various factors that may have influenced this change.
Methods. The Scopus database was searched for biomedical publications from January 1st, 2017, to December 31st, 2022, with India's country or territory specified as the limiting factor. The period was then divided into two parts: pre- and post-COVID-19. The pre-COVID-19 period spanned from 2017 to 2019, while the post-COVID-19 period spanned from 2020 to 2022. The publication trends in all subject areas across the periods above (pre- and post-COVID-19) were analyzed using appropriate nonparametric statistical tests and graphics.
Results. In the specified period, India produced 231,370 research documents, which exceeded that of Australia (214,750) and France (207,220). However, it was lower than that of the top-performing publishing countries. The United States (148,448), China (71,484), the United Kingdom (42,446), Germany (31,727), Italy (7183), Japan (251,357), and Canada (241,759) also demonstrated notable research output. The discrepancy in research output between the pre-and post-pandemic periods was statistically significant (P < 0.001; Wilcoxon rank sum test, Z = 4.107). The publication output from the top institutions was significantly higher (P < 0.001, Wilcoxon signed-rank test, Z = 8.115). The statistically significant increase persisted in subgroup analysis for public and privately funded medical institutions, including medical colleges (P < 0.01). However, no significant difference in the rise in publication output pre- vs. post-COVID was observed when public institutions, private institutions, and medical colleges were mutually compared (P = 0.434, Kruskal-Wallis test).
Conclusion. The global pandemic of the novel coronavirus (2019-nCoV) benefitted India's research output of biomedical disciplines. This effect was observed in public and privately funded medical institutions and academic centers. However, when the publication figures from these institutions were compared, no significant difference in the rise due to the 2019-nCoV pandemic was seen.
Consumer Buying Behaviour Towards Life Insurance Post-COVID-19 in Ghana
Authors: Aidoo Benedicta , Boachie-Mensah Francis.O
Published: October 2024

The current study explores consumer buying behaviour towards life insurance among private basic school teachers in the Cape Coast Metropolis of Ghana, focusing on the post-COVID-19 landscape. Utilizing a descriptive survey design, data were gathered through a five-point Likert-type scale questionnaire and analyzed using various statistical methods, including frequencies, percentages, mean, standard deviation, and Pearson Product Moment Correlation. Using a population of 224 private school teachers, the results indicated that teachers primarily opt for life, hospital, and education support plans, signifying an aspiration to secure their future and further their education. The study underscores the imperative for financial resilience post-COVID-19 to protect the emerging middle class from reverting to poverty. Although teachers employ strategic coping mechanisms during the pandemic, they expressed concerns over delayed life policy settlements, which have compounded their challenges. Recommendations include targeted engagement by insurance companies at private basic schools to elucidate the benefits of life policies, as well as the formulation of insurance packages that offer effective risk coverage and promote long-term investment, rather than merely focusing on tax benefits.
Saving Honest Entrepreneurs through the Second Chance Policy in Ghana
Authors: Korankyi-Sakyi Francis
Published: October 2024

This paper analyses the existing legal frameworks on insolvency in Ghana and how they sufficiently provide to save honest entrepreneurs during financial reforms. Financial sector reforms are a welcomed mechanism to foster financial sector efficiency for sustainable growth. During the period of decision-making in financial sector reforms, it is expected that some business concerns would have their lifespan terminated. Notwithstanding, recent episodes of financial deregulation have revealed unintended consequences of demobilising the sector which has affected innocent entrepreneurs. The aftermath of the financial sector reforms has passed the Corporate Restructuring and Insolvency Act, 2020 (Act 1015). This paper aims to address the issue of whether or not the existing legal framework benchmarked against the Capital Adequacy, Asset quality, Management, Earnings, Liquidity (CAMEL) framework absolves honest entrepreneurs in such a period as against fraudulent entrepreneurs. The paper adopted the doctrinal legal research approach using distinct research tools including data from primary sources, statutes, journal articles, online resources and other obligatory tools. It finds that recent financial sector reforms did not segregate the fraudulent entrepreneur from honest entrepreneurs to make room for the CAMEL to save the latter. It concludes on how a second chance policy can be developed along with existing statutes to settle and save honest businesses in periods of economic volatility.
Neuromarketing Consumer Behaviour in Family Type: An Independent T Test Analysis
Authors: Sharma Ambika
Published: October 2024

The present study examines the impact of family type on consumer behavior through the lens of neuromarketing, utilizing an independent t-test analysis of 394 survey responses. By categorizing participants into different family types—nuclear, extended, and single-parent—the research explores variations in emotional responses, decision-making processes, and brand loyalty. The findings reveal significant differences in consumer preferences and purchasing behaviors among these family types, highlighting how familial structure shapes consumer identity and choices.
These results underscore the importance of tailoring marketing strategies to align with the distinct psychological and emotional frameworks of diverse family units. This study contributes to the growing field of neuromarketing by providing empirical evidence of how family dynamics influence consumer behavior, offering valuable insights for marketers seeking to enhance engagement and effectiveness in their campaigns.
La Administración y valores del ESG - especial referencia a Uruguay
Authors: Rotondo Felipe
Published: October 2024

Este trabajo presenta un análisis del impacto de los principios ESG en el desempeño administrativo a la luz de la legislación uruguaya, especialmente en lo que respecta a la celebración de contratos administrativos redactados desde la perspectiva de la sostenibilidad y la dimensión social de las decisiones al respecto. También analiza la promoción que pretende el Estado uruguayo respecto de la implementación de la política ESG a las diferentes realidades económicas de los agentes involucrados.
The Future of Financial Technology: Innovations in SAP for Global Business Operations
Authors: Venkata Seetha Anil Kumar Gamidi
Published: October 2024

As globalization and digital transformation reshape the business landscape, financial technology (FinTech) plays a critical role in enabling companies to operate efficiently and competitively on a global scale. SAP, a leader in enterprise software, is at the forefront of this evolution, offering innovative solutions that enhance financial operations. This article explores the future of financial technology, focusing on SAP’s innovations that are driving change in global business operations. It examines the impact of SAP’s advanced analytics, artificial intelligence (AI), and blockchain integration on financial management, compliance, and decision-making processes
Youth Investment Trends : Analysing the Rise of Young Investors in the Stock Market : Indian Vs U.S. Stocks
Authors: Sahil Borle
Published: October 2024

This study explores why young Indian investors are increasingly favouring U.S. stocks over domestic ones. Through surveys & interviews with investors aged 18-35, we uncover key influences such as the allure of global brands, the perceived stability of U.S. markets, and the power of social media. While tech innovations and easy access to trading platforms boost their enthusiasm, a gap in financial literacy poses risks. The reasons causing young investors to prefer US stocks over Indian stocks are higher returns, stability & global exposure. We highlight the need for better education and support to harness this demographic’s potential, aiming to democratize investment opportunities in the digital age