bluuebunny/crossref_metadata_2025 huggingface dataset:
The performance analysis of stock predication based on recurrent neural network
Authors: Wang Shiying , Yao Xinyu
Published: September 2023

The stock exchange is unpredictable, and the stock price seems unpredictable. However, with the continuous development of the deep learning model's ability to deal with massive data, forecasting stock prices has become feasible and has reference value for investors. Many factors affect the stock price, and it is a great challenge to define these factors' influence on the price clearly. This paper selects multi-features stock price data sets of different companies. Because of the superiority of recurrent neural networks in dealing with time series problems, this paper compares and analyzes the experimental results of four models, namely Long Short Term Memory, Bi-directional Long Short-Term Memory, Gate Recurrent Unit, and Bi-directional Gate Recurrent Unit, and concludes that the BiLSTM model is the most outstanding one. At the same time, the prediction accuracy under different feature numbers is compared. The experimental results show that the stock price forecasting model with multi-features shows good performance, but the noise brought by it can't be ignored.
The measurement of expected return on assets based on pricing models and machine learning methods
Authors: Dong Qingxin
Published: September 2023

Equilibrium in the pricing of capital assets is the basis of modern finance research. In recent decades, as portfolios have become more diversified and information transparency has increased, investors have become increasingly concerned about the expected return on equity assets. The pharmaceutical manufacturing industry is crucial for a country with a considerable market and rigid demand for pharmaceutical consumption while affecting the country's people's health and economic development. Currently, China's pharmaceutical level is among the top pharmaceutical countries in the world, and the system of the pharmaceutical industry and pharmaceutical circulation policy have been quite complete. Hence, it uses pricing models with machine learning methods, including the CAPM model and the Fama-French three-factor model, to measure the expected return on assets of several large listed pharmaceutical companies in China, then using the "Transformer model" based on the machine learning algorithm to predict the expected return and comparing with the well-known pricing models.
The air quality predication based on machine learning methods
Authors: Ran Maohao
Published: September 2023

Air quality is the focus of attention all over the world. As an important index to measure air quality, accurate prediction of PM2.5 plays an essential role in regulating air quality. This paper uses different machine learning algorithms and neural networks to infer air quality (AQ) in the study area and observe the impact of these methods on accuracy. The results indicate that shuffling the data can enhance the model's performance. In addition, the neural network is the most affected by the data shuffle operation compared to other models. In the case of a shuffle operation, the performance of the neural networks is the lowest among all models. However, in the case of non-shuffle data, the neural network performance is the best among all models. Therefore, in the absence of large-scale data sets, the traditional machine learning method with a relatively small scale should be selected to model the air quality prediction problem because the traditional machine learning method performs better in the small sample data scene.
Diagnosis of hepatitis C virus based on ID3 algorithm
Authors: Che Yue
Published: September 2023

Infection with the hepatitis C virus (HCV) is what causes hepatitis C. China has one of the highest hepatitis C infection rates in the world (13%-15%), and this illness affects more than 170 million people worldwide. As a result, there is an enormous need for the diagnosis of this disease. In recent years, researchers have made significant progress in this field with different machine learning algorithms and have had the ability to make a relatively precise diagnosis. However, within the machine learning algorithms that the researchers used, decision trees, particularly the ID3(Iterative Dichotomiser 3) algorithm, have been disregarded. This paper uses this algorithm in the diagnosis of hepatitis C, aiming to test the accuracy and explore the possibility of introducing this approach into application in medicine. Empirically, the novel method of applying the ID3 algorithm in the diagnosis of hepatitis C can produce relatively accurate results compared with those traditional approaches, demonstrating that this method can be used in practice and is a powerful approach for diagnosing people who have the hepatitis C virus.
Current state of the art of connected car positioning technology in the 5G era
Authors: Zhou Chimei
Published: September 2023

The Internet of Cars (IoV) has gained popularity in recent years as the number of vehicles on the road keeps increasing. With the development of 5G technology, positioning technologywhich is essential to the implementation of IoVhas also started to gain popularity as a research issue. This paper summarises the development and current status of current Telematics positioning technology through the study of the optimization scheme of Telematics positioning technology based on 5G technology. It also clearly shows that the latency of the current Telematics positioning technology has been reduced to a certain extent, and the accuracy has been improved by describing the Telematics, positioning technology and the optimization of the positioning technology from shallow to deep. However, due to practical factors such as site, many technologies have not been further validated and used, and there is still much room for the development of positioning technology. However, with the further development of communication and transmission technologies, the positioning accuracy of Telematics will definitely be improved substantially.
Cyber-security attack prediction using cognitive spectral clustering technique based on simulated annealing search
Authors: Rajalakshmi N.R. , E. Sathishkumar V. , Parameshwari C.Kannika , V. Maheshwari , M. Prasanna
Published: September 2023

Data protection and security is a big challenging portion in a modern technical world against the cyber-attacks like; ransomware, man-in-the-middle, DDoS, etc. In order to overcome this scenario, there are lot of artificial intelligence framework have been introduced to detect and classify the cyber-attacks. In particular, neural networks, with their solid speculation execution ability, are capable to address an extensive variety of cyber-attacks. This article frames the training and testing of a neural network group such a way to deal with detection of cyber-attack using cognitive spectral clustering technique based on simulated annealing search method. The optimization of individual networks can be made by using adaptive memetic algorithm with simulated annealing search. It is used to enhance the neural network weights and hidden neurons respectively. This algorithm is a combination of both local and global search enhancement method and used to get rid of the premature convergence, and used to achieve the adaptive search output. The testing outcome of the proposed framework shows a better result 99.5% of overall accuracy, and effectively adaptive in terms of detecting the cyber-attacks.
Evaluation of deep learning-based algorithms on person re-identification
Authors: Xu Qiaochu
Published: September 2023

At present, CCTVs and multifunctional cameras have been well equipped everywhere in our daily lives. However, most of the public sectors especially the department of public safety are still using the traditional approach, analysing these data by humans. This research presents a summary of the current technologies and algorithms based on deep learning in person Re-identification (Re-id), which aims to recognize a particular individual in several camera views. This paper firstly described the current challenges in using deep learning for person Re-id. Then, a brief introduction of standard person Re-id including feature learning and metric learning is given. Furthermore, the open world Re-id problem is examined from three aspects: person re-id with occlusions, unsupervised learning-based method, and cross-modal person re-Id. The author then evaluated the regularly used datasets and analysed the performance of the algorithms from recent times. Finally, some potential future directions of research for Re-id are proposed.
Public attitudes analysis to Covid-19 vaccination based on natural language processing
Authors: Sun Yibo
Published: September 2023

The COVID-19 epidemic has spread globally since 2020, seriously affecting the order of social and economic development and endangering the lives of the people. With the continuous efforts of medical research institutions, the Covid-19 vaccine has been gradually launched, bringing hope for the prevention and treatment of the new coronavirus. However, many people still have doubts about the safety of these rapidly developed vaccines. In order to better promote vaccines to the rest of the public, it is important to determine their attitudes toward providing appropriate vaccines. Thanks to the rapid development of social networks and natural language processing technologies, collecting and analyzing attitude data from social media has proven to be an alternative solution. In this paper, we search for some of the most popular methods to test their efficiency and correctness in analyzing public attitudes toward vaccines. Extensive experimental results have verified the effectiveness of our work, which can provide new insights into automated surveys of attitudes toward Covid-19 vaccines.
Reconstruction of radiance field with neural network for real-time rendering
Authors: Yang Ruohan
Published: September 2023

Fast global illumination methods has been one of the most exiting area of rendering because it could solve many industrial problems of achieving balance between realistic rendering and stable frame rate. So this study employs a neural network to learn a radiance field from the distribution of a particular group of objects by reconstructing a 3D radiance field using spherical harmonics and neural networks. The network learned the estimated radiance distribution in space by voxel data and creating a hash grid containing information from spherical harmonics. This research also provided a new simplified light transition function that emulated the behavior of light in a specific scene, as global illumination could be broken down into a sequence of the light transport progress. It may be possible to see how the light changes throughout a 3D environment by computing the global GI using this multiple-ray bounce model.
Arthroscopic Training: Historical Insights and Future Directions
Authors: Testa Edward J. , Fadale Paul D.
Published: September 2023

Arthroscopy is an orthopaedic technique that provides surgical solutions in a minimally invasive fashion. Since its introduction, arthroscopy has become a preferred surgical approach for treating various orthopaedic pathologies, such as meniscal tears, anterior cruciate ligament ruptures, rotator cuff tears, and wrist, elbow, ankle, and hip conditions. Despite its ubiquity, surgical training in arthroscopy poses several challenges for educators and trainees. Arthroscopy involves neuromotor skills which differ from those of open surgery, such as the principles of triangulation, bimanual dexterity, and the ability to navigate a three-dimensional space on a two-dimensional screen. There remains no universally implemented curriculum for arthroscopic education within orthopaedic residency or fellowship training programs, permitting the potential for highly variable training experiences from institution to institution. Therefore, the current review seeks to highlight the history of arthroscopic education, strategies and current teaching modalities in modern arthroscopic education, and avenues for future educational pathways.
The Intersection of Race and Sex: A New Perspective Into Diversity Trends in Orthopaedic Surgery
Authors: Wang Jennifer C. , Chang Stephanie W. , Nwachuku Ikenna , Hill William , Munger Alana M. , Suleiman Linda I. , Heckmann Nathanael D.
Published: September 2023

Introduction:

Studies on diversity in orthopaedic surgery have exclusively examined challenges from a race or sex perspective. This study examines trends in the diversity of entering orthopaedic surgery residents from the intersection of race and sex.

Methods:

The American Association of Medical Colleges was queried for individuals entering orthopaedic surgery residencies in the United States from 2001 to 2020. Deidentified data on self-reported sex and race were collected. Proportions by the intersection of sex and race were calculated for 5-year intervals.

Results:

From 2001 to 2020, most of the new female residents identified as White (mean, 71.0%). The average proportion of White female residents was lower in 2016 to 2020 than in 2001 to 2005 (71.0% vs. 73.2%) but higher than that in 2011 to 2015 (66.8%). The 2016 to 2020 average was lower than that of 2001 to 2005 for those who identified as Asian (11.7% vs. 14.9%), Black (4.1% vs. 4.8%), Hispanic (3.0% vs. 4.4%), and American Indian/Alaska Native (0.0% vs. 1.5%). Most of the new male orthopaedic surgery residents from 2001 to 2020 identified as White (mean, 74.1%), but the average decreased across every 5-year interval from 2001 to 2005 (76.1%) to 2016 to 2020 (71.1%). The 2016 to 2020 average was lower than that of 2001 to 2005 for those who identified as Asian (12.2% vs. 13.6%), Black (3.5% vs. 4.2%), Hispanic (3.0% vs. 3.4%), American Indian/Alaska Native (0.0% vs. 0.6%), and Native Hawaiian/Other Pacific Islander (0.1% vs. 0.3%). In 2020, White male residents made up to 54.2% of new residents. White female residents were the second highest group represented (12.1%).

Conclusion:

Increases in representation were observed for some subgroups of new orthopaedic surgery residents from 2001 to 2020. Although the proportion of both White female and male residents decreased by 11.5% during the 20-year study period, these individuals still made up most of the trainees in 2020. These results underscore the need for conversations and recruitment practices to take into consideration the intersectionality of identities.
Use of a Cannulated, Percutaneous Expandable Reamer for Physeal Sparing Excision of a Femoral Head Chondroblastoma
Authors: Gersh Mallory P. , Mendelson Benjamin Z. , Judice Anthony , Aboulafia Albert J.
Published: September 2023

The treatment of chondroblastoma in the epiphysis of the femoral head in skeletally immature individuals is challenging and often requires surgical hip dislocation. We present a unique method of percutaneous use of an expandable reamer (X-REAM, Wright Medical) to treat a chondroblastoma of the femoral head in a 9-year-old boy without requiring surgical hip dislocation. The described technique provides access to the tumor in the proximal femoral epiphysis and local tumor control. However, the approach involves placing a cannula through the epiphyseal plate, resulting in partial premature epiphyseal closure. At 5 years after surgery, the patient has an asymptomatic leg-length discrepancy and radiographic evidence of premature physeal closure, but no restrictions on activity or evidence of local recurrence.

A percutaneous expandable reamer can be used to treat chondroblastoma of the femoral head while avoiding surgical hip dislocation.
Knowledge of Pregnant Women Regarding the Mode of Delivery among the Primary Gravida
Authors: Zainab Imamah , Saddique Humaira , Jabeen Rubina
Published: September 2023

Caesarean sections (CS) are becoming more commonplace. Pregnant women's awareness of childbirth options, the causes contributing to their lack of information, and their desire for CS delivery were little understood. Objective: To assess the knowledge of pregnant women regarding the mode of delivery among the primary gravida. Methods: A descriptive cross-sectional research study design was conducted at Jinnah Hospital Lahore during January to June 2023. About 171 pregnant patients were enrolled to assess the knowledge of pregnant women of the first gravida. Data analysis was done through (SPSS) version 21.0. The Bartlett and KMO values have been checked to ensure validity and reliability in our context. Results: Out of 171 pregnant females, 90.6% were aged 21-30 years. Approximately 67.3% believed that vaginal birth is a natural and appropriate way of delivery, and 87.7% believed that the infant might be obtained early within minutes by vaginal delivery. About 88.3% females thought that vaginal delivery is better than cesarean section, however 85.5% also thought that it is also risky for baby. Conclusions: Generally, the knowledge of pregnant women about the mode of delivery and benefits of vaginal delivery is good in this study. But due to their thought about risk to the fetus, mostly select cesarean section over vaginal delivery. Therefore, the patient should be educated about the knowledge of pregnant women’s mode of delivery to control the (CS) rate.
Some solutions to preserve the traditional costumes of the dao ethnic group in trung minh commune, yen son district, tuyen quang province
Authors: Ngan Pham Hong
Published: September 2023

This article is based on directive perspectives and theories regarding traditional costumes of ethnic minorities, as well as the current state of preservation of traditional costumes of the Dao ethnic people. It aims to propose solutions for preserving the traditional costumes of the Dao people in Trung Minh commune, Yen Son district, Tuyen Quang province. The research findings confirm the necessity and feasibility of preserving these traditional costumes in the present situation. The responsibility primarily lies with cultural agencies, local authorities, and the people in preserving, promoting, and disseminating the traditional costumes of the Dao people in Trung Minh commune, Yen Son district, Tuyen Quang province, both domestically and internationally.
IoT Security Challenges and Emerging Solutions: A Comprehensive Review
Authors: JOURNAL IJSREM
Published: September 2023

The proliferation of Internet of Things (IoT) devices has revolutionized the way we interact with technology, embedding connectivity into every facet of modern life. However, this rapid growth has introduced a host of security challenges that threaten the integrity, privacy, and functionality of IoT ecosystems. This paper presents an abstract review of the complex landscape of IoT security challenges, ranging from vulnerabilities in devices to data breaches and sophisticated cyberattacks. Amid these challenges, emerging solutions offer promising avenues to fortify the security posture of IoT environments. Blockchain technology holds the potential to enhance data integrity and establish trust, while hardware-based security mechanisms bolster the resistance of devices against intrusions. Novel approaches such as AI-powered anomaly detection contribute to real-time threat identification, and privacy-preserving techniques strive to strike a balance between data utility and confidentiality. Additionally, the concept of zero trust architectures is transforming the fundamental approach to securing IoT networks. This paper not only underscores the gravity of IoT security challenges but also highlights the proactive measures that are shaping the future of IoT security. Through an exploration of case studies and a discussion of the inherent challenges and trade-offs, this review elucidates the delicate International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 09 | September - 2023 SJIF Rating: 8.176 ISSN: 2582-3930 © 2023, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM25662 | Page 2 balance between fortifying IoT systems and maintaining usability. As IoT continues its rapid evolution, the imperative to ensure robust security measures becomes paramount, necessitating collaborative efforts and innovative solutions to safeguard the promises of an interconnected world. Keywords: IoT,DDoS, blockchain, Cyberattacks
Deep Learning Approach in Anti-Phishing Technology
Authors:   Malla Reddy College of engineering, Telengana, India, Gopi Anju , Nair Sajin R
Published: September 2023

A significant rise in electronic trade, or consumer-to-consumer online transactions, has occurred recently as a result of advances in Internet and cloud technologies. Malware, phishing, ransomware, man- in-the-middle attacks and other techniques are just a few of the ways cybercriminals utilize to begin a cyber attack. Phishing is a form of social engineering or a cyber security assault in which nefarious actors send messages acting as reliable individuals. Phishing attacks use complex strategies, techniques, and technologies to obtain sensitive data, including content injection, online social networks etc. Real-time identification of phishing sites is challenging with the available anti-phishing tools. Therefore, a protected and open system is required that allows the user to directly verify the site. The long short- term memory (LSTM) algorithm and the convolutional neural network (CNN) were combined to develop a hybrid deep learning model (LCR). The goal of this research was to develop a web browser named Phishing Detection Browser (PD Browser) that can identify phishing attacks using deep learning. Keywords— Phishing, Anti-Phishing, Deep learning, Hybrid Deep Learning Model
A COMPARATIVE STUDY: AMAZON V/S FLIPKART
Authors:   Dept. of MBA, Dr.Ambedkar Institute of Technology, J Mr.Dheeraj , Kavitha Ms. S
Published: September 2023

Internet has become powerful and basic tool for every person's need and the way people work by integrating various online management tools using internet, online shopping has made it easy for everyone with their product variations and simple way to buy things. An attempt has been made critically to examine and compare various aspects such as customer satisfaction, product range, user experiences, market share, customer service and many more of two big E-tailors i.e. Flipkart and Amazon. Amazon is a global e-commerce and technology conglomerate founded by Jeff Bezos in 1994. It started as an online bookstore and has since evolved into one of the world's largest online retailers. On the other hand Flipkart is a prominent Indian e-commerce company founded by Sachin Bansal and Binny Bansal in 2007. Initially an online bookstore, it has grown to become a comprehensive online marketplace offering a wide array of products. Both these big players have made their own mark in India, but who is going to be ultimate winner? or be the top one, is going to be “A COMPARATIVE STUDY ON AMAZON AND FLIPKART” which delivers the information about the different strategies that helped the company to be successful in e- commerce market. Keywords: Product Authenticity, Customer Service, Consumer Attitude, Consumer Perception.
A Study of Political Economy and Development in the Middle East: Focusing on the Relationship between Democracy and Investment
Authors:   The Institute for Democratization Movement Research, Park Geonwoo
Published: September 2023

This study aims to empirically analyze the changes in FDI inflows, an important instrument for economic growth in the Middle East. Some Middle Eastern countries, such as Egypt, Syria and Libya, have experienced democratization in the Arab Spring and many economic-social changes. As a result, there have been significant changes in FDI flows to these countries, and some countries are even improving their democracy. In this context, this study focuses on the Middle East and North Africa region and examines the changes in FDI. The results show that democracy has a positive impact on investment in the MENA region. From these results, it can be concluded that political change has a significant impact on FDI inflows. These results suggest that democracy can trigger economic development by increasing foreign investment. However, this is not the case in all regions. Rather, it means that economic factors may be more important than democracy in certain circumstances.
Energy Education Service Quality Evaluation of Primary and Secondary Schools in South Jeolla Province: A Research Based on SERVQUAL Model
Authors:   The Institute for Democratization Movement Research, Wang Yue , Kim Chunshik
Published: September 2023

The most basic purpose of this thesis is to recognize the relationship between 'energy, human rights and peace' through the energy education that young students received at school, so that 'democracy in action' for the realization of sustainable energy democracy, a common task for all mankind in the future. It helps to grow as a citizen. To this end, the specific goal set by this thesis is to evaluate the current quality of energy education services in South Jeolla Province, prepare countermeasures based on the evaluation results, and further improve the level of energy education services in South Jeolla Province elementary and secondary schools. Based on the SERVQUAL theory and combining with the personalized characteristics of energy education in South Jeolla Province, this paper constructed a 3-dimensional energy education service quality scale with 12 questions, designed a five-component Likert scale, It adopted the questionnaire Star online survey platform. A questionnaire survey was conducted by random sampling, then SPSS26.0 was used to analyze the survey results, and the quality of energy education of primary and secondary school students in South Korea was evaluated scientifically. Through the above research and analysis, the main influencing factors and gaps of energy education for primary and secondary school students in South Jeolla Province were clarified. Finally, a specific research conclusion is drawn, Namely, the quality of energy education service for elementary and middle school students in South Jeolla Province is average, and there is a large GAP in the final score in three dimensions of responsiveness, assurance and reliability, among which the largest gap value is the dimension of assurance. To this end, based on the research results, this paper puts forward specific countermeasures and suggestions, such as strengthening communication and feedback, improving energy literacy of primary and secondary school energy teachers in South Jeolla Province, and innovating community education models.
A Study on the Possibility of Resolving Inter-generational Conflict
Authors:   The Institute for Democratization Movement Research, So Byoungwook
Published: September 2023

The ongoing conflict in South Korea has reached a critical juncture, as evidenced by pertinent indices. The divergence in public awareness regarding the presidential impeachment from 2016-2017 instigated rallies, which, in turn, caused a schism of opinions between the two factions. Through the Q methodology, this study scrutinizes the perceptions of these groups, illuminating their cognizance of the current state of affairs and identifying avenues for negotiation and conflict resolution. Four distinct typologies, viz. positive, negative, conflict and compromise efforts, and rational non-communication, emerged from the PQMethod analysis, underscoring the prospects for conciliation. This study underscores the imperative for mediating this conflict and acknowledges the existence of conflict and compromise efforts that both factions can reconcile, paving the way for their crucial role in fostering social harmony in the future.
Pseudoaneurisma traumático arteria aorta torácica
Authors: Muñoz M. E. , Miranda E. A. , Arlettaz V. G.
Published: September 2023

El traumatismo de aorta torácica es una lesión frecuente en pacientes con trauma cerrado de tórax y politrauma en general, su asociación con lesiones en otros territorios le añade una importante morbimortalidad. En aquellos pacientes en los que se sospecha esta lesión debe realizarse una tomografía axial multicorte, con contraste endovenoso. El correcto manejo y tratamiento de la misma constituye una urgencia. El tratamiento endovascular se considera una opción válida en estos casos. Algunas lesiones pueden ser susceptibles de tratamiento médico-conservador.
Middle Aortic Syndrome in an Elderly Patient : Description of a Surgical Case
Authors: Bugueiro Bertier A. E. , Espósito A. , Medlam D. , Nigro P.
Published: September 2023

The middle aortic syndrome is a rare form of presentation of aortic coarctation that represents 0.5-2% of this same entity. It usually presents in the pediatric or young adult population; therefore, the age of this patient is of interest. It mainly affects women with an estimated ratio of 4:1. Renal involvement is the most prevalent, and idiopathic etiology is the most frequent. This pathology presents clinically with hypertension challenging to control along with intermittent claudication. This article comprises the case of an 81-year-old female patient with a history of hypertension, sedentary lifestyle, smoking, osteoporosis, cholecystectomy in 2010, and appendectomy in childhood. On this occasion, the patient had a stenosis of the infrarenal abdominal aorta and a simultaneous superficial femoral artery lesion and was treated in a hybrid approach with a balloon expandable stent and a suprapatellar femoral-popliteal bypass.
Vascular trauma experience at Hospital Durand
Authors: Arenaza P. H. , Frosh M. , Mamani W. , Moura P. , Garbino P. , More M.
Published: September 2023

A brief review of the guidelines for diagnosing and treating vascular trauma in civil society presents the experience with 38 patients over 3 years and 8 months in a public hospital in the City of Buenos Aires.
Challenges sssociated with Learning Oral Diagnostic Sciences: A multicenter study in Nigeria
Authors: Lasisi TJ , Adisa AO , Effiom OA , Olawuyi AB , Omitola O G , Soyele OO , Ogundana OM , Okoh M
Published: September 2023

Introduction: Oral diagnostic sciences (ODS) comprise the subjects, oral pathology, oral medicine, oral radiology and the functional integration of these into the oral  diagnostic services. Oral diagnostic science has peculiar challenges with learning  and training in sub-Saharan Africa. Several barriers that may impede effective clinical teaching include inadequate institutional financial support and lack of access to appropriate educational space and resources. The aim of this study was to categorize challenges of learning ODS in Nigeria.Methods: This was a cross sectional survey of undergraduate dental students (UDS) and resident doctors (RDS) in dentistry in five institutions in Nigeria. The study included 286 participants comprised of 199 UDS and 87 RDS. Information about challenges of trainer, trainee and facilities was obtained by using pretested  structured questionnaires. Data was analyzed using SPSS version 23 and tests of associations between variables were determined using Chi-square. The level of significance was set at p < 5%. Results: The mean age of the study participants was 27.2 (± 4.6) years and 60.6% were males. The majority, 72.4% of RDS and 64.3% of UDS, indicated that getting a good ODS education was important to them. Few, 19.5% of RDS and 8.5% of UDS indicated that they would consider ODS as a career. While 37.9% of RDS decided that their examinations are fair and  objective, 50.8 % of UDS agreed that their examinations were fair and objective (p < 0.05). The percentage of RDS and UDS which felt that ODS consultants sometimes give contrary information to textbook material were 26.4% and 29.1% respectively, however 28.7% of RDS and 34.2% of UDS were undecided about this issue. Thirty-eight (43.7%) specified that lack of a structured postgraduate curriculum in ODS caused their challenge with learningConclusions: Trainee level affected the participants' perceived challenges of learning ODS. Despite the differences, the results showed that most of the challenges were common to both undergraduate and postgraduate training.
A Comparative Study of Diclofenac and Wound Infiltration to Additional Ilioinguinal/iliohypogastric Nerve Block With 0.25% Plain Bupivacaine for Pain Relief in Children Undergoing Groin Surgery – University Teaching Hospital (UTH), Lusaka
Authors: Kabwe J. C , Chisakuta A.M , Ismailova F
Published: September 2023

Objective: Surgery in the groin region is commonly performed in paediatric patients at the University Teaching Hospital (UTH). Intramuscular (IM) Diclofenac and wound infiltration, with lignocaine, are the commonest analgesics administered intraoperatively.This study aimed at determining whether an additional ilioinguinal/iliohypogastricnerve block with 0.25% plain bupivacaine, done using the landmark technique,would improve postoperative analgesia in children undergoing groin surgery at the UTH when compared to IM diclofenac and wound infiltration with 1% lidocaine (with adrenaline 1:200,000).Methods: A non-randomized intervention study of 36 children undergoing unilateral inguinalherniotomy, hydrocelectomy and orchidopexy was conducted at UTH. The children were allocated to two groups – Group 1 (control) received IM diclofenac and wound infiltration (UTH usual care), while Group 2 (intervention group) received medication as in control plus an ilioinguinal/ iliohypogastric nerve block performed by landmark technique. The Mann-Whitney U test was used to compare the pain scores between the two groups and any resultyielding a p-value of less than 5 percent was statistically significant.Results: The operations done were unilateral inguinal herniotomy, hydrocelectomy and orchidopexy. Half of the participants were between 2-5years old and the other half between 5-7years. Post-operatively, the pain scores measured at times 0and 1 hour were statistically non-significant in both groups (p-values 0.181 and 0.355 respectively). At the 6th hour post-operative, all of the participants had pain scores of 0. Oral Paracetamol (15 - 20 mg/kg) was the only post-operative analgesic received by the patients in the study.Conclusion: This study showed that the addition of ilioinguinal/iliohypogastric nerve block, done with the landmark technique, does not offer superior pain relief during the post-operative period in children undergoing unilateral groin surgery at UTH.
Sociodemographic Characteristics and Pregnancy outcome of Referred and Booked Parturients in a Nigerian Teaching Hospital
Authors: Olarinoye A.O , Adesina K.T. , Aderibigbe S.A. , Akande T.M. , Fawole A.A.
Published: September 2023

No Abstract
Oral and Otolaryngological Complications of Radiotherapy for Head and Neck Cancers among Patients attending Ocean Road Cancer Institute, Tanzania
Authors: Abraham ZS , Ngunyale B , Massawe ER , Ntunaguzi D , Mpondo B
Published: September 2023

Background: The prevalence of head and neck cancers is on the increase worldwide. Treatment modalities include surgery, radiotherapy and chemotherapy. Radiotherapy with or without chemotherapy affects different parts of the body upon their exposure including the ear, nose, throat and the oral cavity. Data on these complications is scarce. The aim of this study was to determine the proportion of acute oral and otolaryngological complications of radiotherapy with or without chemotherapy for head and neck cancers.Methods: A retrospective cross-sectional, hospital based study was done to 80 patients with head and neck cancers who have just completed radiotherapy with or without chemotherapy at Ocean Road Cancer Institute (ORCI). Data was collected using a structured questionnaire within one week after completion of radiotherapy. Patients who reported hearing loss underwent otoscopy and audiological assessment including tympanometry and pure tone audiometry. Data was analyzed using SPSS program.Results: The proportion of males was higher than that of females in the ratio of 2:1 and majority of the patients involved were in the 6th decade of life, (27.5%). Out of the 80 study participants, 80% were found to have oropharyngeal mucositis, 90% were found to have xerostomia and 50% were found to have dysphagia. In addition, 76.2% of patients reported to have developed taste disorders after radiotherapy and 43.1% reported to have developed voice disorders. The proportion of hearing loss following radiotherapy was 21.9% though this should be taken with caution since there was no before and after intervention taken. Patients with sinonasal cancers had the least proportion of oral and oropharyngeal mucositis (50%), xerostomia (64.3%) and voice disorders (14.3%). Most of patients who developed hearing loss had nasopharyngeal cancer (85.6%) and salivary gland cancer (66.7%) while patients with oropharyngeal cancer, hypopharyngeal cancer and laryngeal cancer did not develop hearing loss at all.Conclusion: Oral and otolaryngological complications of radiotherapy with or without chemotherapy for head and neck cancers at ORCI are quite prevalent. Prevention of complications should be highly regarded especially by using shield protectors on uninvolved areas and advanced radiotherapy machines should be considered to minimize such complications.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KINERJA PERAWAT TERBAIK DI KLINIK AMANAH DENGAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Farhanah Nisrina Darin
Published: September 2023

The Department of Health is a health institution that is engaged in providing health services for the community. Amanah Clinic is one of the maternity clinics in Magelang City that serves various types of diseases and complaints from patients and the community. Medical personnel are the spearhead in improving clinical services. In developing superior medical personnel, Amana Clinic makes a selection program for the best nurses based on criteria such as: performance, discipline, education level and attitude. The old system that is running still has weaknesses because it is only based on 1 criterion (number of attendance) and ignores other criteria. The system causes injustice in the selection process. The purpose of this study was to design a decision support system for selecting the best nurse using the Simple Additive Weighting method. This method was chosen because it can perform a ranking process based on criteria and weights and is able to determine the best alternative. System design with Context Diagram, HIPO, DAD and ERD. Application results are nurse reports, overall selection and selection of the best nurses. The results of the functionality test are proven to be successful and the Validity Test has been proven to be 100% valid.
PENERAPAN ALGORITMA APRIORI DALAM MENINGKATKAN PRODUKSI BUDIDAYA PERIKANAN MENGGUNAKAN ASSOCIATION RULE
Authors: Tajrin Tajrin , Frans David Ebenezer
Published: September 2023

Aquaculture production in North Sumatra needs to be increased in order to meet the increasing demand for aquaculture in the area from time to time. In order to optimize aquaculture production, recommendations are made for what types of aquaculture are most in demand by the community so that the North Sumatra Marine and Fisheries Service can prepare fishery supplies optimally. Recommendations for the provision of fish are carried out by utilizing data mining technology with an association rule algorithm. Processed data is fish sales history data. The result of this data processing is the combination of fish data that is most in demand by the community with a minimum amount of support of 40% to 3 itemset. Furthermore, the a priori algorithm is implemented at the marine and fisheries service to determine associations. By utilizing the results of this a priori algorithm analysis, the Department of Marine and Fisheries of North Sumatra can find out what types of aquaculture are the priorities for increasing production so that they can meet the needs of the community.
Penerapan Permodelan Nielsen Pada Website Aplikasi Inventaris Barang di Pondok Pesantren Miftahul Jannah
Authors: Sanjaya Rudi , Jaidan Jauhari  , Dedy Kurniawan
Published: September 2023

The development of technology is increasingly fast and developing, so the need for a technology is one of the websites-based software technology, with this website being used to make difficult work easy, the purpose of this research is to design and build an inventory application for Islamic boarding schools Miftahul Jannad. in the survey village by applying the Nielsen modeling. The research method used is the method of observation, interviews and literature studies, the approach method is the Nielsen modeling method, where Nielsen's modeling consists of learnability, efficiency, memorability, few errors, satisfaction, the results of Nielsen's modeling are obtained to test the validity of learnability with counted r counts. 0.868, 0.845, 0.736, 0.619, Efficiency with r count 0.813, 0.461.0.636, 0.557, for Memorability is 0.773, 0.830, 0.814, 0.578 for memorability with the calculated r value of 0.773, 0.830, 0.814, 0.578, then for few errors obtained a value of 0.621, 0.765, 0.704, 0.653, then for satisfaction with a value of 0.732, 0.559, 0.662, 0.652, which means that with the calculated r value is more r table, where the r table is obtained 0.320, the data in the Nielsen modeling is valid, while for the reliability test it is stated that the results of the Nielsen modeling test are reliable.
Implementasi Enterprise Resources Planning Berbasis Odoo Pada Rumah Makan Kluwak Rawon
Authors: Ababil Putri Sabilina , Pratiwi Dian , Siswanto Teddy
Published: September 2023

Rumah Makan Kluwak Rawon merupakan sebuah tempat makan yang masih tergolong Usaha Kecil Menengah (UKM) karena proses bisnisnya masih dilakukan secara manual, sehingga pencatatan keuangan maupun pencatatan stok bahan baku tidak tercatat dengan baik yang membuat pengeluaran menjadi tidak teratur. Di zaman yang sudah banyak menggunakan teknologi ini, solusi untuk menyelesaikan permasalahan seperti di atas adalah dengan mengimplementasikan Enterprise Resources Planning (ERP) pada rumah makan tersebut. Software yang digunakan untuk implementasi ERP ini adalah Odoo, karena Odoo memiliki modul-modul yang sesuai untuk menyelesaikan permasalahan di atas, seperti modul Purchasing, Accounting, Inventory, Point Of Sales (POS), Manufacturing, Sales, Contact, dan Website. Dengan diterapkannya sistem ERP pada rumah makan tersebut, maka proses bisnis akan lebih termonitor dan operasional akan berjalan lebih efektif dan efisien, sehingga menguntungkan bagi rumah makan tersebut.
Health Aid and Human Well-being: Exploring the Role of Donor Support in Developing Countries (Evidence from Fifty Developing Countries’ Dynamic Panel Data Analysis)
Authors: LEKHAK Bindeswar Prasad
Published: September 2023

This study aims to assess the impact of disbursed health aid on key health sector variables in 50 developing countries over 19 years (2002-2020). The variables analyzed include infant mortality rate (IMR), under-5 infant mortality rate (IMRu5), and life expectancy at birth (LifeExp). The study utilizes panel data and employs the Generalized Method of Moments (one-step and two-step GMM) for analysis. The findings reveal that health aid has a significant effect in reducing both IMR and IMRu5. A one percent increase in health aid corresponds to approximately 2.189 and 2.134 fewer infant deaths per 1000 live births and 3.497 and 2.864 fewer under-5 infant deaths per 1000 live births under one-step and two-step GMM, respectively. Additionally, a positive and statistically significant relationship exists between health aid and LifeExp. A one percent increase in health aid is associated with an increase of 0.064 and 0.076 years in LifeExp. The study also examines the impact of health aid on gender-specific health indicators. Health aid reduces both male and female IMR and IMRu5, with a more pronounced impact on male rates. Moreover, health aid has a more significant effect on improving female life expectancy than males. Furthermore, the study compares the effectiveness of multilateral and bilateral health aid. Both types of aid significantly reduce IMR and IMRu5, with bilateral aid being more effective for IMR and multilateral aid for IMRu5. Additionally, multilateral aid has a more substantial impact on enhancing life expectancy in developing countries. The main contribution of this study lies in its comprehensive analysis of the overall impact of health aid and its effects based on gender and donor characteristics. These findings emphasize the importance of Sustainable Development Goal 3 in promoting good health and well-being.
Tolerance of White Bean to Tiafenacil Herbicide Mixtures and Control of Multiple Herbicide-Resistant Horseweed With Tiafenacil Herbicide Mixtures
Authors: Soltani Nader , Shropshire Christy , Sikkema Peter H.
Published: September 2023

There is limited information on the tolerance of white bean to tiafenacil herbicide mixtures applied preplant (PP) and the efficacy of tiafenacil herbicide mixtures applied PP to control multiple herbicide-resistant (MHR) horseweed. The objective aim of this research was to ascertain the tolerance of white beans to tiafenacil herbicide mixtures and determine if MHR horseweed control with tiafenacil can be improved by adding herbicide partners in a surrogate soybean crop. During 2021 and 2022 four experiments were performed to determine the tolerance of white bean to tiafenacil herbicide mixtures and five experiments were conducted to determine MHR horseweed control with tiafenacil mixtures in ON, Canada. All tiafenacil mixtures evaluated except those that included 2,4-D ester caused minimal (≤ 4%) white bean injury and had no adverse effect on white bean stand, dry biomass, height, maturity (as measured by seed moisture (SM) content at harvest), or yield. Glyphosate + tiafenacil + 2,4-D ester and glyphosate + tiafenacil + bromoxynil + 2,4-D ester caused up to 8% white bean injury but had no adverse effect on white bean stand, dry biomass, height, maturity, or yield. Glyphosate + tiafenacil or co-applied with bromoxynil, metribuzin, or 2,4-D controlled MHR horseweed 23-75%, reduced density up to 62% and reduced biomass up to 56%; consequently, horseweed interference with these tiafenacil mixtures resulted in soybean yield comparable to the non-treated (weedy) control. Glyphosate + tiafenacil + halauxifen-methyl and the co-application of glyphosate + tiafenacil + bromoxynil with metribuzin, halauxifen-methyl, or 2,4-D ester controlled MHR horseweed 73-94%, reduced density up to 79%, and reduced biomass up to 86%. Reduced MHR horseweed interference with the aforementioned tiafenacil mixtures resulted in soybean yield comparable to the weed-free control. In conclusion, all tiafenacil mixtures evaluated except those that contained 2,4-D ester can be safely used in white bean. Glyphosate + tiafenacil + halauxifen-methyl and the co-application of glyphosate + tiafenacil + bromoxynil with metribuzin, halauxifen-methyl, or 2,4-D ester provided the most consistent control of MHR horseweed.