bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Ginger (Zingiber officinale) Extracts on Mechanical and Antimicrobial Properties of Ganyong Starch Edible Films as Primary Packaging of Crabstick
Authors: Silvia Deli , Zulkarnain Zulkarnain , Fadhilah Rizki Ivan , Kamilah Hanisah , Abdul Karim Shah Nor Nadiah
Published: May 2024

Research has been conducted on the effect of ginger (Zingiber officinale) extract addition in the combination of an edible film made from Ganyong starch, sorbitol and chitosan. This study aims to analyze whether this formulation can be used as a substitute packaging for crabsticks that have been using conventional plastic packaging. By using a variation of ginger extract concentrations of 0, 3%, 6% and 9% into 3 % Ganyong starch, 4 % sorbitol and 0.3 % chitosan (w/v). Mechanical characteristics were carried out in the form of tensile strength, elongation, young modulus, swelling, moisture content, thickness, and solubility test. Antimicrobial ability and DSC (Differential scanning calorimetry) for the thermal properties of the casted film were also conducted. Data was analyzed using One-way Anova SPSS version 29 with Turkey’s test. The addition of ginger extract to edible films based on Ganyong starch, sorbitol and chitosan can be used as primary packaging for crabsticks. The best formulation was found in the 6 % ginger extract variation with the results of swelling (95 %), moisture content (13 %), elongation (76 %), and antimicrobial properties of Escherichia coli (7.5 mm) and Bacillus cereus (6.9 mm). In addition, the melting temperature (Tm) of 6 % ginger extract concentration was also higher (134 °C), yet was not significantly different from the other variations. Therefore, this formulation has the potential as an alternative primary crabstick packaging.
HIGHLIGHTS

Preparation of edible film from 3 % Ganyong starch, 4 % sorbitol, 0.3 % chitosan with fixed concentration and 3 different variations of ginger extract concentration (0, 3, 6, and 9 %), respectively.
Casting method of edible film as primary packaging of crabsticks
Mechanical properties and antimicrobial activity against Bacillus cereus and Escherichia coli, gram-positive and gram-negative bacteria, respectively
The 6 % ginger extract variation showed better results with elongation (76 %), moisture content (13 %), swelling (95 %), and antimicrobial properties of coli (7.5 mm) and B. cereus (6.9 mm)

GRAPHICAL ABSTRACT
Object Detection using Convolutional Neural Network
Authors: Dr. B. V. Pranay Kumar  , P. Rahul  , S. Avinash  , K. Shyamsundar  , B. Sandhya  , B. Sandhya
Published: May 2024

During the last years, a noticeable growth is observed in the field of computer vision research. In computer vision, object detection is a task of classifying and localizing the objects in order to detect the same. The widely used object detection applications are human– computer interaction, video surveillance, satellite imagery, transport system, and activity recognition. In the wider family of deep learning architectures, convolutional neural network (CNN) made up with set of neural network layers is used for visual imagery. Deep CNN architectures exhibit impressive results for detection of objects in digital image. This paper represents a comprehensive review of the recent development in object detection using convolutional neural networks
Cyber Threat Intelligence: A Comprehensive Overview and Practical Implementation
Authors: Sushama Pawar  , Yogita Khandagale  , Archana Gopnarayan  , Manisha Pokharkar
Published: May 2024

Cyber Threat Intelligence (CTI) has emerged as a critical component in modern cybersecurity strategies. CTI encompasses the proactive gathering, analysis, and dissemination of information about potential cyber threats, including threat actors, tactics, techniques, and procedures (TTPs), vulnerabilities, and indicators of compromise (IOCs). By harnessing a combination of technology, human expertise, and collaborative partnerships, CTI enables organizations to enhance their ability to detect, prevent, and respond to cyber attacks effectively. This paper provides a comprehensive examination of CTI, including its definition, importance, lifecycle, sources, and practical implementation strategies. By exploring various CTI frameworks, methodologies, and tools, organizations can effectively leverage threat intelligence to enhance their security posture and proactively defend against cyber threats
Water Scheduling in Municipalities using RTC
Authors: Shiva Kumar V  , Bhargavi U  , Divya Shree  , Aparna Angadi  , Ambika B
Published: May 2024

Water is a precious natural resource that serves various purposes such as drinking and cooking. However, it is often wasted and not efficiently utilized. The conservation of water has become increasingly crucial due to the growing gap between diminishing water supplies caused by inadequate water management and the rising demand from population growth. Consequently, the cost of water is continuously rising. Therefore, it is essential to monitor daily water usage. Moreover, residents living in apartments face the issue of unfair billing, where customers who use minimal water and those who consume the maximum amount are charged the same. To address this problem, a proposed system utilizes RTC (Real-Time Clock) to track water usage accurately. Additionally, the project incorporates a TDS (Total Dissolved Solvents) sensor to measure the level of dissolved solvents in the water. Furthermore, a soil moisture sensor is employed to detect any water leakage by monitoring the moisture level in the soil. If an increase in moisture level is detected, the system sends a text message to registered recipients, alerting them of the potential leakage and helping to minimize water wastage. Another feature of this project is a push button that allows users to view their bill on an LCD display when pressed
Deep Learning-Based De-blurring/Denoising of Indian Heritage Images
Authors: Mr. Tejas Lambat  , Mr. Shreyash Ukey  , Mr. Pranav Wagh  , Mr. Sanket Tekam  , Mr. Snehal Raipure  , Mr. Ravindra Kale
Published: May 2024

Using the deep learning algorithms, our method comes up with the process that impedes the conservation and restores the Indian heritage images, while dealing with the obstacles like blur, noise, and obscurity of the images. In this case, neural networks that are developed themselves are used to carry out the process of denoising and reconstruction of these images but also contain intricate object detection capabilities. These multi-faceted actions, therefore, help to preserve the historically relevant aspects and make the Indian cultural heritage more colorful and accessible to the outside world.
In addition, not only are we protecting them but we are also transforming them into the best images that represent India's past. Through application of deep learning principles to indigenous materials, we come up with powerful educational tools that make a deep impact in the community, promoting a profound appreciation for India's cultural heritage. By means of careful experimentation and stringent testing, we establish that the specified methodology is indeed workable in conservation applications as it has been shown to be effective. This way, we make it clear that the cultural heritage of India is not only treasures of the ancient time but the living legacy, which is welcoming for everyone and contributes to the cultural diversity and pride.
Online Exam Portal
Authors: Uday Kumar  , CH. Rekha  , K. Annie Siri  , G. Lokesh  , A. Keerthan
Published: May 2024

An online test is one that is conducted via the internet or an intranet utilizing a computer system. It is a web-based exam system. It works well as a mass education evaluation solution. Our system for online exams is built on a Browser/Server architecture. The multiple choice questions that are fed into the system are examined and automatically graded by the system. Even while it is comfortable, the classic pen and paper exam format has drawbacks in the current digital learning environment. IT students find these limits even more noticeable because they are used to using internet resources and platforms. In response, this proposal suggests creating an efficient, user-friendly, and safe online assessment system especially for IT students. This project goes beyond practicality. It increases assessment quality with interesting formats, empowers students with freedom, and promotes efficiency with quicker administration and grading. Teachers receive insightful data-driven information for bettering their curricula. In the end, it welcomes the digital age and uses cutting-edge evaluation techniques to get IT students ready for success
Crop Yield Prediction using Machine Learning
Authors: Mr. V. Shanmugam  , I. Sriteja  , K. Sai Dathu  , K. Raju  , S. Sai Kumar  , G. Karun
Published: May 2024

Weather profoundly impacts agricultural outcomes, making accurate crop prediction vital for farmers' decision-making. This abstract presents a comprehensive overview of weather-based crop prediction, emphasizing its significance, key components, and methodologies. The process begins with the collection and analysis of historical weatherdata encompassing variables such as temperature, precipitation, humidity, and sunlight. Utilizing Python programming and data visualization libraries like Pandas and Matplotlib facilitates the exploration and visualization of this data, revealing trends and patterns. Machine learning algorithms, including regression and ensemble methods, are employedto develop predictive models. These models leverage historical weather data to forecast future crop yields accurately. Python's extensive libraries, such as Scikit-learn and TensorFlow, offer robust tools for model development and evaluation. Incorporating advanced technologies like remote sensing and satellite imagery further refines the prediction process. These tools provide real-time insights into crop health and growth, enhancing the precision of forecasts. Ultimately, weather-based crop prediction serves as a valuable decision support tool for farmers, enabling informed choices regarding planting, irrigation, and harvesting practices. By harnessing historical weather data, machine learning algorithms, and innovative technologies, stakeholders can optimize agricultural productivity, mitigate risks, and contribute to global food security
Building A Simple Weather Forecast Application using Python Django
Authors: M Ramaraju  , A Sahithi  , Seema Firdhose  , S Nivas Tagore  , G Aravind  , K Shashank
Published: May 2024

Weather forecasting plays a crucial role in various sectors such as agriculture, aviation, transportation, and disaster management. Accurate and timely weather predictions are essential for making informed decisions and mitigating potential risks. This project presents a comparative study of different Application Programming Interfaces (APIs) for weather data retrieval and their effectiveness in weather forecasting. The objective is to evaluate the performance, reliability, and accuracy of various APIs in providing weather information for accurate forecasting. This project presents the development of a sophisticated weather forecasting application using the Python Django framework. In response to the growing demand for accurate and accessible weather information, this application provides users with timely updates on current weather conditions, temperature variations, and detailed forecasts for the upcoming six hours. The application dynamically adapts its interface to reflect hourly changes in weather patterns, ensuring that users receive up-to-date and reliable information at all times. One of the key features of this application is its user-friendly interface, which allows users to conveniently search for weather data anytime and anywhere. Whether planning a trip, scheduling outdoor activities, or simply staying informed about local weather conditions, users can rely on this application to deliver precise and relevant information tailored to their needs. Furthermore, the application enhances user experience by providing comprehensive coverage of global weather data. Users can easily access weather information for any location worldwide, enabling them to plan travel itineraries, explore new destinations, and make informed decisions about their future holiday plans.
Automated Coupon Generator for Subsidy (ACG)
Authors: Misheck Zoferana  , Mr. Pempho Jimu
Published: May 2024

The proposed system is Automated Coupon Generator also known as ACG which introduces a dynamic coupon generation mechanism empowered by machine learning algorithms. This system is there to enhance people's engagement and optimize the coupon distribution process to befair. The coupon distribution process will be in such a way that those farmers who are less privileged will be prioritized. The project involves several key steps. This project involves key stages including data gathering, preprocessing, feature enhancement, and autonomous decision-making logic development, taking into account diverse factors such as farmer segments and budget constraints. The system will interact with HTML, PHP, CSS, and JavaScript, with Python supporting the implementation. It aims to continuously adapt the model to meet evolving customer behaviors and preferences. This technological approach is essential for optimizing coupons effectively and staying responsive to real-time farmer interactions and preferences
AC PWM Control System in Induction Motor using Microcontroller
Authors: Aayush Bahade  , Ashish Khonde  , Suraj Charduke  , Saurabh Wele  , Prof. Suyog. S. Dhoke
Published: May 2024

The demand for efficient and precise control of induction motors has led to the development of advanced control systems, among which AC PWM (Pulse Width Modulation) stands out as a prominent technique. This project focuses on the design and implementation of an AC PWM control system for an induction motor utilizing a microcontroller. The system employs a microcontroller to generate PWM signals, controlling the power electronics responsible for modulating the voltage supplied to the motor. The report details the architecture, components, and methodology employed in the project. A comprehensive discussion on the PWM control algorithm, motor drive circuitry, and sensor integration is presented. The microcontroller programming and experimental results showcase the effectiveness of the proposed system in achieving precise control over motor speed and efficiency. The challenges faced during the project are discussed, along with the corresponding solutions implemented. The report concludes with a summary of achievements and suggestions for future enhancements. Overall, this project contributes to the field of motor control systems, offering a reliable and efficient solution for induction motor control through AC PWM with microcontroller integration
Machine Learning Approaches for ADHD Detection
Authors: Varun V Khasnis  , Varun K  , Prasanna Kumar S Shivaraddi  , Prabhu M  , Poojari Pavan Kumar
Published: May 2024

This report explores the application of deep learning convolutional neural networks (CNNs) for analyzing brain MRI scans to assist in the diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) syndrome. ADHD is a neuro developmental disorder that affects millions of individuals worldwide, characterized by difficulties in attention, hyperactivity, and impulsivity. Traditional methods of diagnosis rely on subjective assessments and behavioral observations, leading to inaccuracies and delays in treatment. Leveraging the power of deep learning CNNs for MRI analysis offers the potential for more objective and efficient diagnosis, facilitating timely intervention and personalized treatment strategies
Smart Application to Avoid Road Accidents Caused by Speed Breakers
Authors: Aparna K S  , Muskan  , Nadira Ishrath  , Naveed Sufiyan  , Mohammed Muzzammil
Published: May 2024

The intelligent application presented in this study aims to stop speed breakers from causing accidents on the road. The application employs on board sensors and GPS technologies to identify speed violators and notify drivers. The software detects speed breakers and alerts drivers in real time by combining sensor data analysis and machine learning methods. Our application aims to enhance road safety by notifying drivers about speed breakers. Therefore, reducing the possibility of accidents and making the road safer for everyone
Exploring the Impact of Virtual Reality on STEM Education in Ghana
Authors: Fredrick Boafo , Dotse Halle Akosua Asantewaa , Mensah Solomon , Boadu Dennis
Published: May 2024

The implementation of technology has revolutionised education in recent years by making the learning and teaching experience easier and more enjoyable. The use of virtual reality in STEM education is one of the most promising developments in this area since it offers an immersive and interactive learning experience. However, there is limited research on the impact of VR on STEM education in Ghana. This study seeks to investigate and answer the question of the potential and impact of virtual reality in STEM education in Ghana using the systematic literature review approach. This involved a thorough search across multiple academic databases including Google Scholar, IEEE Xplore, ERIC, ACM Digital Library and Springer Link, examining peer-reviewed articles and reports. The review revealed evidence supporting the positive impact of VR in STEM education as well as some challenges that come with it. The findings suggest that VR can provide a novel and effective way of learning and teaching STEM in Ghana. While certain factors may hinder the implementation of VR in STEM education, certain suggestions mentioned could overcome these barriers and pave the way for a more engaging, stimulating, and effective learning experience for Ghanaian STEM students, fostering a deeper understanding and preparing them to succeed in their future careers.
Effectiveness of Credit Terms on Management of Non-Performing Loans in Kenyan Commercial Banks
Authors: Atieno Eunice Macrean
Published: May 2024

This study sought to establish the effectiveness of Credit Terms on Management of Non-Performing Loans in Kenyan Commercial Banks. The specific objective was to establish how credit term was effective in managing non-performing loans by reviewing credit period, credit limit, interest rates and default term within the corporate, business and personal segments of commercial banks in Kenya. The study was guided by both the Theory of Information Asymmetry and Credit Scorecard theories. An explanatory research design was adopted employing both simple random and stratified sampling techniques. The sample comprised 222 credit officers employed in the 41 commercial banks in Kenya. Structured questionnaires were applied to the credit officers in the collection of primary data. Cronbach’s alpha and factor analysis were applied in testing both the reliability and validity of the research instruments. A multiple regression model using SPSS (Version 23) was used in the analysis of the obtained data and to test the hypotheses. The study identified that credit terms (ꞵ= .570) had a positive and significant effect on management of nonperforming loans. In regard to this new knowledge, the study recommends that credit terms be adopted by the management of commercial banks and policymakers. This will help the banks increase their profitability, enhance their growth and cope with the intense competition within the banking industry.
Frequency of Depression in Patients with Migraine Presenting to Services Hospital Lahore
Authors: Hassan Sohaib , Khan Imran , Nauman Ahsan
Published: May 2024

Objective: To determine the frequency of depression in patients with migraine coming to Services Hospital, Lahore. Methods: One hundred and fifty cases fulfilling the inclusion/exclusion criteria were enrolled in the study and informed consent was taken, regarding inclusion of patient in study. All patients after confirmation of migraine with consultant having at least 5 years of experience of consultancy, depression were evaluated by the researchers themselves. Results: Frequency of depression in patients with migraine coming to services hospital, Lahore was recorded in 48 %( n=72) while 52 %( n=78) had no findings of the morbidity. Conclusion: We concluded that the frequency of depression is high among patients with migraine. So, it is recommended that every patient who present with migraine, should be sort out for psychological disturbance
ACUTE RHABDOMYOLYSIS IN A JUVENILE WITH DENGUE FEVER: A RARE MANIFESTATION BUT BEWARE
Authors: Mai Thanh Cong , Nguyen Trong Phuoc , Nguyen Thanh Nam , Nguyen Thi Van , Luong Thi Lien
Published: May 2024

Myalgia is a common symptom in patients with Dengue fever. However, acute rhabdomyolysis is a rare manifestation. The precise mechanism of Dengue-associated rhabdomyolysis has not been determined, it is thought likely to be caused by myotoxic cytokines released in response to viral infection, such as TNF and IFN-α. Here we report a case of a 13-year-old boy with Dengue fever, presenting with red urine on day 5 of illness. Together with a decreased platelet count (26 G/L), we initially suspected hematuria but the urinalysis showed no red blood cells. We then thought of rhabdomyolysis causing myoglobinuria, so we ordered diagnostic tests with the following results: CK 1353 U/L, GOT 361 U/L, GPT 90 U/L. The patient was given intravenous fluids and oral oresol to control urine output. Urine color faded and blood CK concentration returned to normal after 13 days. Rhabdomyolysis is rare in dengue fever but requires proper diagnosis and management to prevent acute kidney injury - a life-threatening complication.
EVALUATING THE EFFECTIVENESS OF THE CRITICAL VIEW OF SAFETY IN LAPAROSCOPIC CHOLECYSTECTOMY AT BINH DAN HOSPITAL
Authors: Huynh Thanh Long , Vo Van Hung , Nguyen Lam Truong An , Nguyen Manh Khiem
Published: May 2024

Background: The aim of this study was to assess the safety of laparoscopic cholecystectomy using "The Critical View of Safety" (CVS) technique for the management of gallbladder stone disease. Subjects and methods: Prospective study, describing a series of cases of patients undergoing laparoscopic cholecystectomy with CVS applied to treat gallbladder stones at Binh Dan Hospital from January 2022 to October 2022. Results: We enrolled 89 patients and recorded the following outcomes: the success rate was high, at 97.8%. The failure cases were due to large stones blocking the gallbladder neck and severe adhesions in the hepatocystic triangle in necrotizing cholecystitis. There is a statistically significant difference in the success rate of achieving CVS between groups: gallbladder condition (p=0.02), degree of adhesion inflammation of the hepatocystic triangle (p=0.039). The overall bleeding complication rate was 10.3% (9 cases) and during CVS was 6.7% (6 cases). The overall gallbladder perforation complication rate was 8% (7 cases) and during CVS was 4.4% (4 cases), with no biliary tract injuries. The postoperative complications included fluid collection in the gallbladder bed in 10.3% of cases and surgical wound infection in 2.3% of cases. All were successfully treated with conservative measures. Conclusion: We concluded that CVS is a necessary, safe, and effective diagnostic method in laparoscopic cholecystectomy for gallbladder stone disease.
SOME CLINICAL CHARACTERISTICS OF ADULT PATIENTS TREATED BY OSTEOSYNTHESIS METHOD FOR THE PROXIMAL HUMERUS FRACTURE
Authors: Tran Quoc Doanh , Nguyen Anh Sang
Published: May 2024

Objectives: To describe some clinical characteristics of adult patients with closed proximal humerus fracture (PHF), treated by osteosynthesis method with locking plate. Subjects and methods: Adult patients who were closed PHF treated by open reduction and locking plate fixation at Military hospital 175. Report of a retrospective study conducted on 42 clinical cases. Results: The average age for both gender was 51.38 ± 14.63, the age group over 60 accounted for 26.19%. The ratio of female/male patients was 1.1/1, the difference was not statistically significant (p>0.05). The cause of injury due to traffic accidents (TA) accounted for the highest rate at 73.81%, due to daily life accidents (DLA) accounted for 21.43%, and due to work accidents (WA) accounted for 4.76%. Anatomical damage of PHF according to the classification of author Neer C.S. on X-ray, including groups III, IV, V, VI, 3-part fractures accounted for the highest proportion with 54.76%. Conclusion: The patients in the study group were mostly middle-aged from 18 to 60 years old. The main cause of TA was the age group from 18 to 60, which was the group with a large traffic demand (accounting for 80.64%), the majority of injuries had 3-4 broken parts (accounting for 61.29%), due to DLA, mainly in the group of people over 60 years old (accounting for 55.56%) with 3-4 broken parts accounting for 66.67%.
ROLE OF RIGHT VENTRICULAR–PULMONARY ARTERY COUPLING IN PATIENTS WITH HEART FAILURE WITH REDUCED EJECTION FRACTION
Authors: Vo Van Tinh , Do Van Chien
Published: May 2024

Objectives: To describe the clinical characteristics, right ventricular pulmonary artery (RV-PA) coupling and assess the correlation between RV-PA coupling and six-minute walk distance (6-MWD) in patients with heart failure with reduced ejection fraction (HFrEF). Subjects and methods: A prospective study with 39 patients with heart failure with HFrEF was recruited at 108 Central Military Hospital from December 2022 to October 2023. Results: A total of 39 patients were enrolled to the study with a majority of male (76.9%), mean age 63.7±15.7 years. Based on univariate and multivariate analysis, there is no correlation between right ventricular pulmonary artery coupling and 6-MWD, as evidenced by parameters including TAPSE/PASP (r=0.111, β=37.09, p=0.499), FAC/RVSP (r=0.012, β=1.29, p=0.944), and S’/RVSP (r=0.216, β=105, p=0.186). Nevertheless, there is a negative correlation between FAC/RVSP and S'/RVSP with LAVi, with respective values of (r = -0.522, β = -11.97, p-value = 0.001) and (r= -0.487, β = -0.005, p-value = 0.002). Conclusion: RVPAc cannot be used to predict exercise in HFrEF. Among echocardiographic RVPAc ratios, FAC/RVSP and S'/RVSP are correlated with left atrial volume index.
NSAID PRESCRIPTION SURVEY IN INTEGRATED TRADITIONAL AND WESTERN MEDICINE TREATMENT: ASSESSING GASTROINTESTINAL AND CARDIOVASCULAR RISKS
Authors: Do Tan Khoa , Nguyen Thi Bich Tam , Tran Hoa An
Published: May 2024

Introduction: Non-steroidal anti-inflammatory drug (NSAID) usage should be carefully considered based on gastrointestinal (GI) and cardiovascular (CV) risks. In light of restricted evidence, this study aims to assess the prescription of NSAIDs concerning the GI and CV risks in the integrated treatment of Traditional medicine (TM) and Western medicine (WM). Materials and method: A retrospective cross-sectional study was conducted on 393 medical records of inpatients using NSAIDs in 2022 at the Traditional Medicine Hospital of Ho Chi Minh City. GI and CV risks, as well as information regarding NSAID prescriptions, were recorded. A multivariable regression model was employed to identify factors associated with the prescription of NSAID groups. Results: NSAIDs were primarily prescribed for musculoskeletal and connective tissue disorders (87.28%). Approximately half of the cases exhibited moderate to high GI risk (47.59%), while for CV risk, there were 68.95% with moderate to very high risk. COX-2 inhibitors were the most commonly prescribed (94.66%), even when considering GI and CV risks separately. In the majority, NSAID prescriptions aligned with both risks according to American College of Gastroenterology (ACG) guidelines (73.79%). The prescription of NSAID groups was significantly influenced by patient gender, ailment type, and physician education (p<0.05), but not by GI and CV risks (p>0.05). Conclusion: Patients receiving NSAIDs in integrated TM and WM treatment often faced an increased GI and CV risk, with the majority adhering to ACG guidelines. However, GI and CV risks were not significantly considered for NSAID group selections. Multi-center studies should be conducted.
A NEW INSTRUMENT TO SUPPORT EXAMINATION OF DISTAL RADIUS ON WRIST RADIOGRAPH
Authors: Nguyen Anh Sang , Tran Quoc Doanh , Dang Hoang Anh , Le Gia Vinh , Doan Van Khue , An Quang Vu , Nguyen Dang Huy , Nguyen Dang Khoa
Published: May 2024

Objectives: To construct an instrument that supports wrist position control according to a number of shooting angles in anteroposterior and lateral position during X-ray examination. Materials and methods: Term such as criteria for evaluating wrist X-ray films, current technical status, some concepts about posture have been scientifically researched. Based on those things to provide research directions and design tool samples. A male volunteer, 36 years old agree to participate in the study, X-rays were taken in an anteroposterior and lateral position for investigation. Results and Conclusion: Initial evaluation shows that this tool is easy to use and only takes a little time to get used to the adjustment operations. The benefit that the device brings is that it helps stabilize the wrist position during X-rays, helping to adjust the angles within the range of motion of a normal person, produces more accurate wrist X-ray results, without having to take multiple scans, saving effort, machine wear and tear costs, creating practical benefits for patients, medical staff, researchers and hospital.
ASSESSMENT OF DERMAL IRRITATION OF LAO NHA QUE COCONUT OIL IN EXPERIMENTAL ANIMALS
Authors: Pham Thi Van Anh , Nguyen Thi Thanh Loan , Nguyen Thi Thuy , Dau Thuy Duong
Published: May 2024

Lao Nha Que virgin coconut oil (LNQ VCO) is a natural product inteneded to treat some skin diseases such as burns, atopic dermatitis, and xerosis.... To provide information on its local irritation, this study was carried out to evaluate the dermal irritation of LNQ VCO. 0.5 ml of VCO was applied on the skin in one side of the spine while 0.5 ml of distilled water was applied on the other side. After 4-hour exposure period, the residual LNQ VCO was removed and the skin reactions for erythema and oedema was described and scored at 1 hour, 24 hours, 48 hours and 72 hours after removing the patches. The results showed that the erythema appeard on the LNQ VCO-applied skin in two out of three rabbits and recovered up to 72h. The primary irritation index was calculated to catogorize the skin irritation of LNQ VCO. The primary irritation index of LNQ VCO was 0.78. Thus, LNQ VCO might cause slight irritation on the rabbit’s skin.
PHYSICIANS’ PERCEPTION AND ADHERENCE TO CLINICAL GUIDELINES FOR THE MANAGEMENT OF ACUTE CORONARY SYNDROME IN VIETNAMESE HOSPITALS
Authors: Vo Thi Mai Tuyet , Truong Hoa Van , Nguyen Thang , Nguyen Thao Huong
Published: May 2024

Introduction: Understanding guideline acceptance related factors and barriers to guideline adoption may help improve guideline implementation. We aimed to investigate physicians’ perception and adherence to ACS guidelines in Vietnamese hospitals. Methods: This was a cross-sectional study. Physicians’ perception was collected through interviews, using a validated questionnaire. Physicians’ adherence to ACS guidelines was determined through medical records of ACS patients treated by interviewed doctors, using prescribing indicators. Data were analyzed using SPSS 20.0, with significant level of p < 0.05. Results: There were 33 cardiologists completed the interview (mean age 36.4, male 57.6%). Majority of physicians perceived that ACS guidelines were useful, reliable, and available. They definitely understood, would keep updating, and implementing those guidelines. About a third of physicians supposed that guideline adherence did not save treatment costs. Major barrier was lack of health insurance coverage. A total of 342 medical records of ACS patients (mean age 65.3, male 59.1%) was reviewed for physicians’ adherence. Patients with unstable angina/non-ST-elevation myocardial infarction accounted for the largest proportion. Statins were predominantly indicated (in 96.4% of patients), followed by aspirin (89.9%), ACEIs/ARBs (86.3%), P2Y12 inhibitors (84.7%), and beta-blockers (59.5%). Ultimately, 52.2% of patients were prescribed all four recommended medications. No differences in physicians’ characteristics, perception and barriers to guideline between high- and low-adherence doctors were found. Conclusions: Majority of physicians had positive perception towards ACS guidelines, but there were still certain barriers. Physicians’ prescribing practice was highly consistent with the guidelines, but the indication of beta-blockers and all four recommended medications were limited.
OBESITY AND IN-HOSPITAL OUTCOMES AMONG PATIENTS WITH SEVERE COVID-19 IN VIET NAM
Authors: Vo Trieu Ly , Nguyen Tuan Long , Vuong Minh Nhut , Nguyen Hoang Phi , Vu Thi Hieu
Published: May 2024

Introduction: COVID-19 (Coronavirus disease 2019) is a global pandemic. Overweight and obesity are risk factors related to mortality as well as disease severity. Overweight and obesity are also increasing in Vietnam. Data related to the characteristics of COVID-19 in this vulnerable population was limited in Vietnam. The study was conducted (1) to describe the outcomes of overweight and obese COVID-19 patients, and (2) to investigate factors associated with the outcomes of overweight and obese COVID-19 patients. Methods: A cross-sectional description was conducted at the Hospital for Tropical Diseases from July 2021 to December 2021. Patients who were (1) ≥ 18 years old (2) diagnosed with COVID-19 with a positive RT-PCR SARS-CoV-2 result and (3) had BMI ≥ 23 kg/m2. Female pregnant women or ascites were excluded from this study. To determine factors associated with mortality and ICU admission, chi-square and Fisher's Exact were used. Variables with p < 0.05 were included in the logistic regression model to investigate independent risk factors. Cases directly admitted to the ICU were excluded when analyzing risk factors for ICU admission. Results: 173 patients were recruited (70 patients (40.46%) were overweight, 74 patients (42.77%) were obesity class I and 29 patients (16.76%) were obesity class II). The overall mortality rate was 28.9%. The ICU admission rate was 46.2% with a median ICU stay of 9 (6 – 15.25) days. The rate of respiratory support was 83.8%, of which 31.8% of patients required invasive mechanical ventilation and the median duration of respiratory support was 12 (6.5 – 16.5) days. Independently factors associated with ICU admission were diabetes (OR = 2.92 (1.27 – 6.67)) and a severe or critical condition at admission (OR = 8.82 (2.51 – 31.08). Independently factors associated with death were vaccination (OR = 0.23 (0.08 – 0.63)), a severe or critical at admission (OR = 15.74 (3.46 – 71.55)) and remdesivir usage (OR = 0.78 (0.16 – 0.87)). Recommendation: Vaccination against COVID-19 has been shown to be effective in the obese and overweight population.
CONECTANDO RESISTÊNCIA E AFETOS COM A CONSTRUÇÃO DE UM GRAFITE NA EDUCAÇÃO INFANTIL
Authors: Cauhy Letícia Cristina de Andrade , Dos Santos Randy Rodrigo Gonçalves , Paim Juliana Rodrigues , Gonçalves Leonardo Conceição
Published: May 2024

This article sought to narrate the daily development of a pedagogical activity using digital graffiti with Early Childhood Education students from a public school in Aparecida de Goiânia, during the transition from the Covid-19 pandemic to the post-pandemic period. The aim is to demonstrate how the practice of digital graffiti can be employed in Early Childhood Education to promote children’s creative expression and socio-emotional education. The methodology adopted was an exploratory, descriptive investigation based on the authors’ experiences and the adaptation of the Physical Education curriculum to incorporate digital graffiti activities. The sessions were structured in four stages, each inspired by songs and relevant artists from the Hip Hop movement, guiding reflections on the pandemic and the collective creation of digital graffiti. The main results include enhancing creative expression through digital graffiti and integrating digital technology into children’s educational processes. Additionally, the activity allowed participants to share experiences related to overcoming the pandemic period, strengthening their socio-emotional skills. It is concluded that digital graffiti can be used as an important curricular tool in Early Childhood Education, expanding interaction through play and paving the way for hybrid teaching models that combine innovative pedagogical practices in cyberculture.
ACHADOS ULTRASSONOGRÁFICOS NO NEUROMA DE MORTONULTRASOUND FINDINGS IN MORTON’S NEUROMA
Authors: Conceição Daiana Lopez , Das Neves Thaline Mairace Hernandez , Maldonado João Paulo , Reis Alan Timoteo Rodrigues , Lalier Rafael Teodoro Lopes
Published: May 2024

Morton's neuroma is a pseudotumor lesion that can cause discomfort in the feet. Thediagnosis of this disease is carried out by the attending physician, through the evaluation ofthe symptoms presented by the patient, in addition to a physical examination. Imaging exams,such as ultrasound, can help diagnose Morton's neuroma, or exclude differential diagnoses.
A Psychological Study of the Impact of Social Media Addiction on Sleep Patterns
Authors: Gunarathne Niromi , Walpola Aruna Shantha
Published: May 2024

This study presents findings from a comprehensive psychological investigation aimed at exploring the impact of social media addiction on sleep patterns among young adults. The research utilized a mixed-methods approach, incorporating quantitative surveys, objective sleep assessments, and qualitative interviews to provide a holistic understanding of the complex relationship between social media use and sleep disturbances. Eightyparticipants aged 18-35 were recruited from diverse demographic backgrounds and assessed for social media addiction using validated scales such as the Bergen Social Media Addiction Scale (BSMAS). Sleep patterns were evaluated using self-report measures (e.g., Pittsburgh Sleep Quality Index) and objective measures such as actigraphy. Psychological factors including anxiety, depression, stress, and self-esteem were also assessed. Results revealed a significant association between social media addiction and disrupted sleep patterns, with higher levels of social media addiction correlating with poorer sleep quality and decreased sleep duration. Qualitative analysis of interviews provided insights into the psychological mechanisms underlying this relationship, highlighting factors such as fear of missing out (FOMO), heightened cognitive arousal, and maladaptive coping strategies. The findings underscore the importance of addressing social media addiction as a potential risk factor for sleep disturbances and suggest the need for targeted interventions to promote healthier digital habits and improve sleep hygiene among young adults.
Examination of Farmers’ Perception on Adaptation Measures Toward Modifying Climatic Challenges for Agricultural Sustainability in Northern Nigeria
Authors: Shehu K. , Zakari N. , Azare I. M. , Ijanu E. M. , Ningi A.I. , Dahuwa A.A.
Published: May 2024

This study examines farmers’ perceptions on adaptation measures toward modifying climatic challenges for agricultural sustainability in northern Nigeria. The data were mainly derived from several sources, including maps of Nigeria and the selected States, population figures from records of the National Population Commission and from internet and library sources, as well as from questionnaire survey of farmers’ opinions. Stepwise sampling technique was employed in the selection of respondents for the questionnaire survey. Frequency tabulations and ANOVA were used to collate and analyze the variations within and between states in the farmers’ measures of modifying environmental challenges in northern Nigeria. It was concluded that 86% of the farmers were positive about climatic adaptation measures in Northern Nigeria, to the extent that there is no variation within and between states (F-value = 0.016), across the region. It was recommended that efforts at improving local or indigenous practices of water harvesting and soil water conservation should be promoted.
Application strategies of resting heart rate for monitoring training load intensity in football players
Authors: Katherine Ning li  , Zhiyuan Tan
Published: May 2024

Resting heart rate, as a vital physiological indicator, holds significant potential in monitoring the training load intensity of football players. This paper systematically explores the concept, role, and application of resting heart rate in football player training. Firstly, it elucidates the concept and role of resting heart rate, including its indication of health status and training adaptation. Secondly, it discusses the importance of resting heart rate in evaluating the training load intensity of football players and proposes corresponding practical application methods. Lastly, it offers some suggestions to facilitate the effective utilization of resting heart rate in football player training. By following these recommendations, coaches and athletes can effectively utilize resting heart rate to optimize training programs for football players, improving their performance and reducing the risk of injury.
Keywords:  Resting Heart Rate (RHR), Football Players, Training Load, Medical Supervision.
REFLEXÕES ACERCA DOS AVANÇOS TECNOLÓGICOS E A EDUCAÇÃO
Authors: Silva Junior Valdeci Ferreira da , Mendonça Sandrine Maria Silva de , Santos Maria Pricila Miranda dos
Published: May 2024

Neste artigo falamos sobre a tecnologia como ação natural da humanidade e reflexo de seu desenvolvimento estando presente em todas as ações humanas, seja em forma de ferramentas, pensamentos ou atitudes, e a habilidade do homem em lidar com o meio em que vive, porém, tem na educação as amarras e freios necessários para consolidação desse processo, ao mesmo tempo que o impulsiona. Faz também uma reflexão sobre a dependência que ficou evidente da tecnologia durante a pandemia, ao mesmo tempo que escancarou o abismo que existe entre realidades socioeconômicas, principalmente no mundo escolar onde a diferença gritante de recursos foi o principal obstáculo para a construção da aprendizagem neste período tão sofrível para a nossa geração. Assim, pudemos comparar a opinião de dois professores, um recém-formado e outro com uma experiência maior, ambos professores de uma escola estadual do interior de Pernambuco, para entendermos de que forma eles lidam com o avanço das ferramentas tecnológicas em sala de aula e como eles a utilizam. Nessa reflexão, percebemos as dificuldades para garantir a aprendizagem aos estudantes neste período de pandemia, principalmente, e o desafio para todos os envolvidos, não só pela falta de equipamentos e, por vezes, até o acesso à internet, elencando ainda fatores que vem de sua formação enquanto docente. Por fim, fica evidente a necessidade de estabelecer alternativas de e recursos eficazes para tentar recuperar o tempo e aprendizado perdido. Sem perder o olhar no retrovisor, é fundamental que o professor se aproprie das novas tecnologias e dinamize suas aulas de uma forma que estreite sua linguagem a dos estudantes para promover o aprendizado em sua forma integral, pois o mundo em que vivemos hoje, carece de ousadia e novos pontos de vista e é na escola que esse processo deve iniciar.
O INSTAGRAM COMO RECURSO PEDAGÓGICO NO ENSINO DE QUÍMICA: UM RELATO DE EXPERIÊNCIA
Authors: Pessoa Ismael de Alencar , Oliveira Jefferson Costa de , Souza Tatiana Pires de
Published: May 2024

Este trabalho objetiva a descrição da construção de um produto educacional pelo autor, enquanto estudante de graduação no curso de Licenciatura em Química, como parte integrante da disciplina de Prática Pedagógica IV. A metodologia utilizada foi a criação de um perfil no Instagram como meio de difusão de conhecimentos relacionados à química. O conteúdo apresentado varia desde os conceitos iniciais de química a curiosidades científicas, como também informações relevantes para a formação dos estudantes, visando atingir os mais variados públicos. O impacto e a aceitação da proposta foram avaliados através dos comentários nas postagens. A experiência revelou uma recepção positiva por parte do público em relação a esse formato. Além disso, a presença ativa dos estudantes na rede social Instagram indica o potencial pedagógico dessa plataforma quando utilizada pelos educadores.
PSICOLOGIA JURÍDICA: ATUAÇÃO NO DIREITO PENAL EM CASOS DE PSICOPATIA NO BRASIL
Authors: Silva Endryo Arthur Santos da , Pinto Geíse Pinheiro
Published: May 2024

O presente artigo possui como tema principal a Psicologia Jurídica: Atuação no Direito Penal em Casos de Psicopatia no Brasil, no qual o problema é: Como podemos pensar em estratégias de intervenção eficazes para o tratamento e reintegração, garantindo a segurança da sociedade e a minimização dos riscos de reincidência? Analisando esse contexto, o presente estudo foi direcionado com este objetivo geral, onde se fará uma análise acerca da atuação da psicologia jurídica no Brasil, no âmbito do direito penal, especificamente nos casos envolvendo indivíduos com transtorno de personalidade antissocial, popularmente conhecido como psicopatia. Para alcançar esse objetivo, no entanto, foram estabelecidos os seguintes objetivos específicos: analisar a relação entre o transtorno antissocial e a gestão do sistema de justiça penal ao investigar as características e manifestações da psicopatia que influenciam a determinação da pena e contextualizar a importância da avaliação psicológica no processo de julgamento de indivíduos com psicopatia. O artigo em questão, utiliza como metodologia a pesquisa bibliográfica, por meio da qual foram analisados livros, artigos científicos, teses, dissertações, revistas e reportagens nacionais relacionadas ao respectivo tema. Essa análise bibliográfica permitiu uma compreensão mais aprofundada das consequências práticas da psicopatia no sistema jurídico. Pesquisa identificou que existem desafios na atuação da psicologia jurídica no Brasil, como a falta de capacitação profissional e preparação dos atuantes da área, bem como na escassez. Conclui-se, que a atuação da psicologia jurídica no direito penal em casos de psicopatia é de extrema importância para a justiça e para a sociedade como um todo e que é necessário investir na capacitação dos profissionais e nos recursos, a fim de garantir uma atuação efetiva e de qualidade.
Research of multimodal transport potential of major cities in China based on the satellite remote sensing
Authors: Dai Hailun , Fu Zhengbo , Zhang Tao , Wang Guanghui , Miao Lei , Liu Ting , Zou Yunjia
Published: May 2024

Abstract. By two or more modes of transportation to connect with each other and complete the transport process, multimodal transport could significantly improve transport efficiency, reduce costs, while promote energy conservation and emission reduction, compared with the traditional single mode of transport. Therefore, the multimodal transport development reflects the level of national or regional economic development to some extent. In this study, multimodal transport potential index was built to evaluate the possibility of multimodal transport. Remote sensing images from satellites were used to extract roads, railway stations and airports. A method was proposed to derive the road-rail transport potential index and road-air transport potential index, and then for the analysis of multimodal transport potential in 36 cities. Results show that there is a big gap among 36 cities on the development potential of road-rail and road-air transport. Compared with the road-rail transport potential index, the distribution of road-air transport potential index is more consistent among and within the seven regions. Index values of megacity and super cities are much higher than type I and II big cities. Moreover, in the 36 cities, there is a positive correlation between the multimodal transport potential index and GDP. The research results could be used to quantitatively evaluate the development of transport infrastructure, consequently provide more solid and reliable basic information for the planning, design and scheme adjustment of multimodal transport, thus comprehensively improve the efficiency and quality of multimodal transport, serve the territorial spatial planning.