bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for cervical instability in rheumatoid arthritis: a meta-analysis
Authors: Wang Min , Shen Jinhua , Tan Jianghong , Zhu Xiaoling , Ma Hongxia , Wen Zhenhua , Tian Yanzhen , Jiang Weimin 
Published: April 2024

IntroductionThe aim of the study was to evaluate the risk factors for cervical instability in rheumatoid arthritis (RA).Material and methodsComputer searches were conducted in PubMed, Embase, Cochrane Library, the China National Knowledge Infrastructure (CNKI) database, the Wan Fang database, the Chinese Scientific Journal Databases (VIP) database, and the Chinese Biomedical Literature database (CBM) from their establishment until November 2022.ResultsA total of 8 articles were included in this study, including 1 cross-sectional study, 5 case-control studies, and 2 cohort study, including 3078 patients with RA. Meta analysis results showed that: male sex (OR = 1.70, 95% CI: 1.19–2.42), course of disease (OR = 1.72, 95% CI: 1.29–2.28), long-term glucocorticosteroid use (OR = 2.84, 95% CI: 1.97–2.40), Steinbrocker staging (OR = 2.30, 95% CI: 1.61–3.28), disability at baseline (OR = 24.57, 95% CI: 5.51–109.60), peripheral joint destruction (OR = 2.24, 95% CI: 1.56–3.21), Steinbrocker stage I-IV progression to disability (OR = 20.08, 95% CI: 4.18–96.53), and previous joint surgery (OR = 1.54, 95% CI: 1.06–2.26) are the main risk factors for cervical instability in RA.ConclusionsThere are many risk factors for cervical instability in RA. In clinical practice, special attention should be paid to patients who are male, have a longer course of disease, have long-term glucocorticosteroid use, have previous joint surgery, have peripheral joint damage, and develop disability in Steinbrocker stage I-IV. Attention should be paid to the high-risk groups mentioned above, and effective measures such as early screening and full monitoring should be taken to prevent the occurrence of cervical instability in RA.
Development of Knowledge Assessment Algorithm in E-Learning Environment
Authors: Ragimova Nazila Ali Sardarov Yagub Bali 
Published: April 2024

The development of technology also manifests itself in the educational environment. The traditional education model is already being replaced by the modern online education model. An electronic learning environment is created here. Online education allows people to learn remotely. This is basically a pretty advanced feature for anyone with internet access. It is possible to get access to any classes at any time, regardless of time and place. E-learning, which has many advantages, also helps in the development of individual education.
Electronic universities are one of the places where electronic educational environment is applied. E-universities can offer more advanced services to more students. At the same time, it is possible to choose an individual educational trajectory here. The selection of the individual trajectory of students is carried out on the basis of a certain method. And the management of electronic universities is carried out in electronic form.
The article is devoted to the study of the electronic university project as an electronic educational environment and its main space. Online education, e-learning environment, e-universities, services offered by them, methods and means of implementing individual education, algorithm of e-university management, calculations and examples in this direction are mentioned here.
Artificial Selection Program for the Improvement of Genetics in Bovine Animals
Authors: Julissa Elizabeth Reyna-Gonzalez  
Published: April 2024

The present work focuses on the study of animal genetic improvement in bovines of the city of Huánuco with genetic algorithms which will help to improve in each new generation of bovine calves both the physical characteristics and adaptation to new environments, also in improving meat and milk.
Evaluate productive records of animals with multiple crossings to determine differences at the productive level. The data that belong to bovines with multiple racial component belonging to the Huánuco farms dedicated to the production of meat and milk. The high dispersion of the offspring values and the high genetic correlation between the evaluated traits allowed the identification of animals with high genetic merit, meriting their potential use as parents of the next generation.
All of this will serve as a reference for new care processes in raising and feeding bovines
Employers Feedback on the Performance of the College of Computing Studies, Information and Communication Technology (CCSICT) Graduates
Authors: Rosemary L. Buraga  
Published: April 2024

This study is an assessment of the employer’s feedback on the performance of College of Computing Studies, Information and Communication Technology (CCSICT) graduates in the workplace with respect to quality and quantity of work, job knowledge, and working relationships.
The study used a descriptive research method utilizing the employers of employed graduates as key informants. The respondents were purposely chosen who are managers or supervisors of companies and institutions of the graduates. Data from the 98 employers were gathered using a survey questionnaire. Weighted mean, frequency count, percentage, and rank were used to interpret the result of the survey.
Results showed that graduates are employed in the Information and Communication Technology (ICT) industry. This means that the graduates have jobs related to their course. The majority of employers who participated in the survey are from the private sector. Employers were very satisfied with the graduate's quality and quantity of work, job knowledge, and work relationship. The top attributes used to evaluate the graduates' performance were the quantity of work and the working relationships. The findings suggested putting emphasis on written and oral communication skills and improving networking, troubleshooting skills, and graphics and design skills.
EEG-based Emotion Recognition: Assessing Misclassification Rates Using Machine Learning Techniques
Authors: CH Narsimha Reddy  
Published: April 2024

Everyday human interaction heavily relies on emotions, which play a pivotal role in fostering genuine human-machine interaction. Emotional equilibrium is crucial for individual well-being, with regular meditation being a widely acknowledged means to achieve it. This study delves into the effect of meditation on emotional responses using Electroencephalography (EEG) technology. EEG can establish correlations between mental attributes and emotional states, with four emotions (Thrilled, Angry, Sad, and Relax) used as categorized stimuli based on valence-stimulation.
Functional connectivity in EEG brainwave activity is compared during these four emotions both before and after meditation sessions. Results demonstrate that meditation promotes more cohesive emotional experiences, albeit with a reduction in classification accuracy observed after an 8-week meditation regimen. This research utilizes EEG data to develop a classification system for discerning familiarity levels within EEG signals, employing the Hjorth Descriptor to condense signal characteristics into three distinct criteria. A Multilayer Perceptron classifier, leveraging input parameters, achieves a peak accuracy of 96% through a combined application of three functions.
Sun Stats: An IoT Node MCU Integrated Web Application with Real-Time Energy Monitoring and Cost Forecasting
Authors: Luizabelle V. Espenido  
Published: April 2024

Rising global concerns about energy consumption and its environmental impact have fueled interest in renewable and sustainable energy sources, with solar energy emerging as a promising solution. In response to climate change challenges and the depletion of finite fossil fuel resources, there is a pressing need for innovative energy management solutions. This paper introduces "SunStats," an IoT NodeMCU integrated web application designed for real-time energy monitoring and cost (consumption) forecasting.
SunStats combines weather data and cost forecasting to provide tailored capabilities for local residential users. Integrating smart technologies and data-driven approaches, it aims to empower consumers with valuable insights into their energy consumption patterns.
It has a real-time energy monitoring feature, facilitated by the use of NodeMCU, allowing users to continuously track their energy consumption patterns. The user-friendly interface enables consumers to access real-time data on their electricity usage, facilitating informed decisions about energy management. Additionally, the application's integration of weather data offers contextual insights into how weather conditions influence energy usage, empowering users to adjust their consumption behavior accordingly.
Beyond real-time energy monitoring and weather integration, SunStats incorporates cost forecasting. Utilizing historical energy usage patterns and weather data, the application predicts future energy consumption for users. This forecasting feature provides consumers with valuable information about potential fluctuations in energy consumption, enabling effective planning and informed decision-making.
The primary goal of SunStats is to empower users to become proactive energy managers, offering transparency into real-time energy data, weather insights, and cost forecasts. This knowledge enables users to implement energy-saving strategies, optimize efficiency, and contribute to a more sustainable future.
Analyze of Education and Training Using Ship Engine Simulators at STIP Jakarta Indonesia
Authors: Abdul Rachman  
Published: April 2024

On this research paper, we analyze Cadet Engineer, junior engineer, senior level Operational engineers, and senior management level engineers will carry out experiments using speed data from various scenarios on the ship engine simulator and then the experimental results will use educational and training analysis on the ship engine simulator to find out the right time. Later analysis also revealed that human errors occur due to the following reasons: Lack of knowledge of the overall system and fundamental operations, Insufficient confirmation of operations and Incomplete knowledge of the sequence of operations. the role of the instructor will be explained to reduce the causes of human error and to improve educational performance according to the implementation and development of each scenario based on expert justification and reference to IMO and SOLAS Standards. various safety procedure scenarios for all Engineers in the hope of minimizing accidents that cause loss of life at sea. For the purpose of training engine plant operations using a PC-based Engine Room Simulator (ERS), describe the features of human errors by incompetent trainees in marine engine plant operations and demonstrate the necessary improvements in training to reduce such errors from an educational technology point of view. Examination of these data has shown that errors occur primarily due to errors of omission and inadvertent action. Further analysis was carried out on these errors by the engineer trainees to determine the characteristics of errors caused in the process of acquiring procedural knowledge for operations according to the implemented development of various safety scenarios.
Reinforcement Learning Based Metaheuristic Algorithm For Optimized Load Balancing In Cloud Environment
Authors: Saravanakumar. K  
Published: April 2024

In cloud computing, workload balancing remains a difficult issue, as overburdened or underburdened servers are capable of causing issues with computation speed or even cause an entire network to collapse, subsequently this is a scenario that is never supposed to occur when using the cloud. Therefore, in order to avoid these issues, the system should be load balanced—that is, allocate job across each of the accessible computing assets by taking into account an acceptable schedule of utilization. The Virtual Machines are supposed to be used effectively, in response to the distributed load mechanism. In this work, a multifaceted load balancing optimization based on the Enhanced Firefly algorithm (EFA) with a Partial Order Markov Decision (POMD) process algorithm is proposed as an autonomous job allocation strategy in cloud computing. In order to overcome the limits of concurrent considerations, the suggested solution seeks to maximise VM productivity, streamline task allocation and the use of resources, and provide load balancing amongst virtual machines based on Time to Finish, expenditure, and consumption of resources. Using CloudSim, the performance study of the suggested approach was contrasted with the load balancing algorithms now in use in datasets like Google Cloud Jobs (GoCJ). According to the trial results, the suggested POMD-EFA strategy performed better than the other algorithms in terms of decreasing the Time to Finish, minimizing expenses, and increasing the efficiency in the application of resources.
End Effect Reduction by Modification Design of End Teeth for Linear Induction Motor
Authors: Syafitri Ainil 
Published: April 2024

Using linear induction motors for magnetic trains has challenges in maintaining stability and safety, namely the emergence of holding forces. The force arises due to the magnetic flux interaction between the permanent magnet and the iron core. One source of resisting force is due to the dotted lines, which creates a finishing effect and generates vibration and noise from the system. Previous research has carried out several works, one of which is designing the shape of a gear at the end of a tooth with a convex curved shape in a linear synchronous motor which has succeeded in reducing the effect of the tip of the tooth. This study aims to determine the results of the effectiveness of calculations using MATLAB, which can produce much less resistance. This research uses descriptive research with a qualitative approach. In this study the calculations to redesign the shape of the dental arch at the end of the track were carried out by making a model with a parabolic approach. Plane dimensions X, Y, Z 660mm x 360mmx 360 mm. Magnetic density data were collected using Ansys software and 10 mm meshing, while the magnitude of the resistive force based on mathematical equations was carried out using MATLAB software. Investigation of the effect of curvature for the final effect value has been carried out using 6 models with different arcs. From the simulation, it is concluded that the sharpener for bow curvature gives the smallest resistance force value. The smallest result from the calculation A=A_x+y^' A_y gives the smallest detention force value. The smallest computation of A=A_x+y^' A_y with the sharpest curvature is a challenge to build and use for real activities.
Complications following surgical treatment of ankle fractures in the elderly: can they be avoided?
Authors: Welzel Lukas , Omar Mohamed , Müller Christian Walter 
Published: April 2024

Background Following surgical treatment of ankle fractures, geriatric patients face high complication rates (CR) in literature. Commonly used diagnostic and treatment algorithms fail to consider requirements of ageing patients which increases the risk of postoperative complications. Objective Present study critically evaluated surgical management of ankle fractures in patients over 65 years old, with focus on identifying modifiable risk factors and effective comorbidity management strategies. Methods We conducted a retrospective single-center study on patients who underwent surgical treatment of an ankle fracture. Based on their age, participants were divided into non-geriatric patients (NGP<65y) and geriatric patients (GP≥65y). We analyzed overall CR and number of minor and major complications in relation to timing of surgery, biological sex, injury pattern, osteosynthesis, pre-existing medical conditions, and postoperative care. Results 402 patients were included. GP encountered significantly higher overall (p<0.001), minor (p<0.001) and major (p=0.003) complications. They presented more complex, displaced and open fractures. Predominant factor contributing to higher CR in NGP and markedly in GP was concomitant diseases, presenting a strong OR of 19,290 (p<0.001) and 17,022 (p<0.001). Delaying surgery and managing comorbidities preoperatively had a favorable impact. Conclusion We revealed a high significant correlation between pre-existing medical conditions and postoperative results. To ascertain viability of delayed surgery in facilitating additional diagnostics and treatment of comorbidities, further comparative trials with a larger cohort are imperative.
ЖАҢЫЛТПАШТАРДАҒЫ КӨНЕРГЕН СӨЗДЕРДІҢ ЭТНОПОЭТИКАЛЫҚ МӘНІ ЖӨНІНДЕ
Authors: Дәуітұлы Т. , Матыжанов К.С. , Жылқыбекұлы Б. 
Published: April 2024

Мақалада жаңылтпаштар табиғатында жиі кездесетін көнерген сөздердің (архизмдер) мәтінінің ұлттық ерекшеліктерін көрсететін этонпоэтикалық маңызы қарастырылады. Бір қарағанда жаңылтпаштардағы мұндай этнолингвистикалық мазмұнға бай сөздер ұйқас үшін алынған сияқты көрінгенмен, шын мәнінде олар мәтіннің этнопоэтикалық мәнін айқындауға ерекше қызмет етеді. Жаңылтпаштарда көшпелі өмірдің мәдени-әлеуметтік, қарым-қатынас құралы ретінде қолданылатын сөздердің, бұл күнде көп бөлімі қолданыстан түсіп архизм сөздерге айнала бастады. Бүгінгі жаһандану заманында халықтың әдет-ғұрпы, салт-дәстүрі, діні, қолөнерінің күнделіктегі өмірдегі қолданыстан ығысуына байланысты, оларға қатысты ұғым-түсініктер де қазіргі лексикада сирек айтылатын болды. Міне осындай ұлттық тілдің тарихи ерекшеліктерін білдіретін сөздер жаңылтпаштар құрамында жиі кездеседі. Мұндай сөздер балаларға тілдің нәрін түсіндіріп, ұлттық ділді қалыптастыруға қызмет етеді. Демек жаңылтпаш фольклорлық жанр ретінде, ең алдымен, ұлттың дәстүрлі дүниетанымынан, тарихи ерекшеліктерінен тамыр тартқан этнолингвистикалық сөздік қорымен суарылған шығармашылық болып табылады. Сол антропологиялық мифология дәуірінен кейін мал шаруашылығын толық игеріп, нақты өмірлік түсініктер қалыптасқан кезеңде, өмірге келген фольклорлық жаңылтпаштардағы: «қалаш, сыпыра, ұшқат, бақан, желмая, серке, торта, мосы, бурыл, қулық, торы, боқжама, құрық, баспақ» сияқты сөздердің ерекшеліктері, әлеуметтік мәні, көркемдік айшықтары, бір-бірімен ара қатынасы, мазмұны нақты мысалдармен дәйектеледі. Сондай-ақ, жаңылтпаштар мазмұнындағы сөздердің тарихи тамырластығы, архетиптік негізі мен тек-тамырының бірлігі анықталады.
Factors that Promote and Protect Against Financial Toxicity after Orthopaedic Trauma: A Qualitative Study
Authors: O'Hara Nathan N. , Gage Mark J. , Loudermilk Casey , Drogt Carolyn , Klazinga Niek S. , Kringos Dionne S. , Mundy Lily R. 
Published: April 2024

Introduction:
Financial toxicity is highly prevalent in patients after an orthopaedic injury. However, little is known regarding the conditions that promote and protect against this financial distress. Our objective was to understand the factors that cause and protect against financial toxicity after a lower extremity fracture.

Methods:
A qualitative study was conducted using semi-structured interviews with 20 patients 3 months after surgical treatment of a lower extremity fracture. The interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis to identify themes and subthemes. Data saturation occurred after 15 interviews. The percentage of patients who described the identified themes are reported.

Results:
A total of 20 patients (median age, 44 years [IQR, 38 to 58]; 60% male) participated in the study. The most common injury was a distal tibia fracture (n = 8; 40%). Eleven themes that promoted financial distress were identified, the most common being work effects (n = 14; 70%) and emotional health (n = 12; 60%). Over half (n = 11; 55%) of participants described financial toxicity arising from an inability to access social welfare programs. Seven themes that protected against financial distress were also identified, including insurance (n = 17; 85%) and support from friends and family (n = 17; 85%). Over half (n = 13; 65%) of the participants discussed the support they received from their healthcare team, which encompassed expectation setting and connections to financial aid and other services. Employment protection and workplace flexibility were additional protective themes.

Conclusion:
This qualitative study of orthopaedic trauma patients found work and emotional health–related factors to be primary drivers of financial toxicity after injury. Insurance and support from friends and family were the most frequently reported protective factors. Many participants described the pivotal role of the healthcare team in establishing recovery expectations and facilitating access to social welfare programs.
New UNCITRAL instruments in the field of commercial and investment mediation of 2021, 2022 and 2023
Authors: Verbist Herman 
Published: April 2024

New UNCITRAL instruments in the field of commercial and investment mediation of 2021, 2022 and 2023
UNCITRAL has recently elaborated a number of new instruments in the field of mediation, both for commercial mediation and for investment mediation: Mediation Rules (2021), Notes on Mediation (2021), Recommendations to assist mediation centres and other interested bodies with regard to mediation under the UNCITRAL Mediation Rules (2022), UNCITRAL Model provisions for International Investment Disputes (2023), UNCITRAL Guidelines on Mediation for International Investment Disputes (2023). Some of these instruments need to be adopted by States in order to become legally enforceable, but other instruments do not need to be adopted by States and can be agreed between the parties. These different instruments are briefly outlined in this contribution.
EL USO DE LAS TICS EN EL FORTALECIMIENTO DEL INGLÉS COMO LENGUA EXTRANJERA EN ESTUDIANTES DE GRADO QUINTO DE PRIMARIA
Authors: Luz Enith Moreno  , Leidy Constanza Bautista Moreno  
Published: April 2024

El presente estudio tuvo como objetivo la creación de una página web, con el fin de fortalecer las habilidades de lectura y escritura en el inglés en los estudiantes de grado quinto de primaria de la Institución Educativa la Cabaña sede el Diamante, se realizó bajo el enfoque cualitativo y con el método Investigación acción participativa (IAP). En primera instancia, se aplicó una prueba diagnóstica de entrada, que permitió conocer previamente que los estudiantes presentaban bajo conocimiento en vocabulario, reglas gramaticales, entre otras, se pudo catalogar como una de las causas por la que los educandos estaban presentando bajo nivel en las habilidades de lectura y escritura, causando en general, bajo desempeño en el área de inglés. Posteriormente, con base a dichos resultados se identificaron los temas a fortalecer, dando de este modo, lugar a la creación de recursos educativos digitales (RED) que fueron integrados en la página web e implementados en el aula; finalmente, se aplicó una prueba diagnóstica de salida que permitió comparar el avance de los estudiantes en el inglés como lengua extranjera y el uso que daban a las TIC para el aprendizaje de la misma. De ese modo, se pudo confirmar que son varios los factores que influyen a la hora de aprender un nuevo idioma en el aula de clase, entre ellos se encuentran. Según los resultados, aunque los docentes son conscientes de la importancia de las TIC no realizan la implementación pertinente de la misma, dejando de lado el aporte que genera al utilizarlo como medio didáctico a la hora de aprender el inglés como lengua extranjera. La investigación permitió determinar que es imprescindible que los docentes se capaciten para adquirir habilidades a la hora de utilizar las TIC en el desarrollo de sus clases.