bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploratory Study on the Path of Informatisation of Educational Management in Colleges and Universities under the Perspective of Intelligent Algorithm
Authors: Chen Yunbiao
Published: December 2024

With the updating of education concepts and the deep integration of education management and information technology, the development of informationization of education management in colleges and universities has gradually become a hot spot of concern. This paper is based on the content of college education management information technology and analyzes its significance in its development and construction. Then, it researches the information system for college education management and introduces it from three aspects: assisting teaching, managing teaching, and assisting education management. Then, the framework of the university education management information system is constructed on the basis of data mining, and then the data is analyzed using a clustering algorithm. To optimize the system, this paper utilizes a particle swarm algorithm that is based on a group intelligence optimization algorithm and proposes a method for selecting the optimal number of clusters (PSO-BestK). The clustering analysis shows that the average value of the M indicator of the important type of development student users is 0.047568, which is much larger than the other three categories, and the dependence on the platform is stronger. The F and S indicators of loyal student users ranked first, with 0.005210 and 0.038922, respectively, and these students are a stable group of loyal users of the informatization system platform. In addition, in the informatization assessment, the average scores of the three dimensions of informatization of activity resources, informatization cognition and network information construction in College H were 4.31, 3.89 and 4.04, which achieved a better performance overall. In this study, the effective student informatization user group was clustered and analyzed, and the problems in the construction of educational management informatization in colleges and universities were explored, which provided a research direction for the exploration of educational management informatization.
Research on the Current Situation and Formal Evolution and Innovation Path of Film and Television Criticism Supported by Cloud Platforms
Authors: Xie Ruibing
Published: December 2024

With the development of information technology and network communication, the film and television industry in the new era is rising and growing. In the film and television industry, film and television reviews are an indispensable part of the chain and play an important role in influencing the performance of film and television works to a great extent. In this paper, the ATCNN-SVM model is constructed to obtain sentiment classification results for film and television reviews and improve the generalization ability of the original model. Crawling the film and television reviews on relevant film websites, this text data is subjected to dimensional mining and dimensional correlation analysis, and the overall sentiment tendency of film and television reviews is obtained through sentiment-weighted accumulation. After a series of clustering and fusion steps, seven categories of film elements and five polarity sentiment scores were obtained for each film. When the sentiment score is -13, the frequency of films appearing is at most 2477, and at this time, film reviews mainly focus on filming techniques. Based on the results of the experimental analysis, we summarise the problems of film and television reviews at the present stage, and from a diversified perspective, we make positive and active reviews of domestic and non-domestic films, respectively, and analyse the innovative path of film and television review form evolution.
Research on the Integration and Teaching Effect of Augmented Reality Technology in Chinese Language and Literature Classroom Teaching
Authors: Xiong Yingying
Published: December 2024

This paper improves the traditional Chinese language and literature classroom teaching method based on augmented reality technology and uses statistical analysis to verify the teaching effect. Through AR technology, we can achieve three-dimensional teaching content in Chinese language and literature classrooms, create an interactive UMU learning platform, and design and build an augmented reality learning environment. Two classes majoring in Chinese language and literature in a university are selected as research objects, and the UMU interactive teaching platform based on augmented reality technology is applied to carry out teaching practice in the experimental class. Scales and questionnaires were designed to test the teaching effect in teaching practice, and the data were analysed using SPSS software, t-tests, F-tests, and other methods. After the teaching practice, the experimental class students’ cognitive level and learning attitudes towards Chinese language and literature were significantly improved compared with the control class, in which the average scores of the three dimensions of learning attitudes in the experimental class increased by 25.48%, 7.90%, and 20.11%, which were significantly higher than the increase of the average scores of the three dimensions in the control class. The recognition, perceived usefulness and satisfaction with the interface presentation of the UMU interactive learning platform of the students in the experimental class are all in the range of 0.9-1.0, which fully illustrates the attractiveness of the augmented display technology in this paper to the students, and strongly argues for its effective and adaptive application in the teaching of Chinese language and literature classroom.
Practice of Thai language education in virtual reality environment and assessment of its teaching outcomes
Authors: Ya Mansha
Published: December 2024

Virtual reality technology provides virtual environments that allow students and teachers to teach and learn in constructed virtual environments, which can simulate Thai language-related environmental scenarios and enable learners to have better perception and understanding. This study delves into the content and structure of virtual reality technology in Thai language education in terms of its practical role and then optimizes the interactive experience of virtual reality technology. This paper also further researches the practical teaching outcomes of the Thai language based on data mining, using fuzzy comprehensive evaluation results for cluster analysis, and constructing an outcome assessment system. Then, the data in the teaching outcome assessment system is studied through correlation analysis. In the practice of Thai language education with virtual reality technology, the confidence level that the virtual teaching content of the national language education is excellent and the evaluation level is satisfactory is 0.735, the confidence level that the teaching method is excellent and the evaluation level is satisfactory is 0.712, the confidence level that the evaluation level is basically satisfactory when the teaching method is good is 0.716, the confidence level that the teaching level evaluation of the interactive experience being excellent is satisfactory is 0.852, and the confidence level that the interactive experience is good is evaluated as basic satisfaction with a confidence level of 0.689. It has been comprehensively demonstrated that virtual reality teaching methods, teaching content, and interactive experiences have a significant impact on teaching and learning outcomes. In addition, it also proves that the optimization of virtual reality technology interaction has a positive impact on the outcomes of Thai language teaching.
A Study on Effective Strategies of Multimedia Technology to Promote Multicultural Cognition of Preschool Children in Ethnic Areas
Authors: Zhang Yuan
Published: December 2024

The globalisation trend of multicultural education has become a challenge that all countries in the world, especially multi-ethnic countries, must face directly. In order to improve the level of multicultural cognition in ethnic areas, this paper takes pre-school children as the research object, designs a multicultural education strategy based on multimedia technology, and uses the sample t-test in mathematical statistics to verify the promotion effect of the strategy on pre-school children’s multicultural cognition. The experimental group adopts the strategy described in this paper, while the control group uses conventional teaching methods. The two groups of experimental subjects are identical. Before and after the experiment, the experimental group had highly significant differences (p<0.01) in five dimensions: cultural diversity awareness, basic cultural knowledge, intercultural communication skills, cultural respect and tolerance, and cultural curiosity and desire to explore. The control group, on the other hand, only had significant differences in three dimensions: awareness of cultural diversity, cultural respect and tolerance, and cultural curiosity and desire to explore (P values of 0.032, 0.0.47, and 0.037, respectively). There are significant differences between the experimental group and the control group in all dimensions of multicultural cognition after the experiment (P<0.05). The multicultural cognition promotion strategy for preschool children in ethnic areas based on multimedia technology designed in this paper is superior to conventional teaching methods and has important reference value for multicultural cognition education in ethnic areas.
Optimising the design of financial data processing models in accounting information systems based on artificial intelligence techniques
Authors: Song Yanhua
Published: December 2024

Financial assessment and early warning analysis can help enterprises find potential financial problems earlier, make timely plans and take necessary measures to avoid risks. This paper uses a Bagging algorithm to integrate Random Forest, Support Vector Machine, and Plain Bayesian method to achieve the processing and classification of enterprise financial imbalance data. The entropy weight method is used to select and empower financial indicators to construct an accounting and financial data assessment model based on artificial intelligence technology. The model is applied to a consumer electronics enterprise, Company W, to analyze its financial situation and operating level. It is found that the composite score from 2019 to 2022 is 60.29, 70.80, 73.11, and 76.52, and the operating condition gradually improves from 2019. Debt service capacity, profitability, operating capacity, and growth capacity also show a positive trend. This is consistent with the actual development of Company W. Accordingly. It is recommended that Company W while maintaining its R&D advantages, focus more on the long-term operating ability of the enterprise, compress the operating cycle, reduce the risk of repayment and inventory pressure, and continue to enhance the competitiveness of the enterprise. This paper presents new ideas and methods for the innovation of enterprise management and the intelligence of accounting information systems.
Digital transformation of labour education in higher education and quality control mechanisms
Authors: Wang Rui
Published: December 2024

Labor education is an indispensable component of the education system, playing a crucial role in the comprehensive development of “five education”. It is a significant part of China’s education system, and its functional status has been continuously improved. This paper explores the digital transformation path of labor education in order to respond to the needs of the times. The study first analyzes and discusses the development trend of digital transformation in labor education, and then proposes a quality monitoring mechanism for labor education, based on the PDCA cycle theory. Data mining serves as the foundation for the development and design of a labor education quality monitoring system platform. After removing the initialization phase and the end phase from the system platform performance test, the traffic real-time monitoring system achieved an average throughput of 1611279 data records per minute, indicating a good performance. Meanwhile, according to the test results, the system in this paper adopts 7 working nodes, which can ensure that the processing time is within 400s and the computational delay is only 0.042ms. This can effectively improve the computational speed and more fully utilize the existing system computing resources. In the actual application of the monitoring platform, the scores of individual indicators of labor education courses numbered 1, 4, and 7 are all lower than the standard score (below 0). The labor education course numbered 6 scored above 1 for each indicator, and its curriculum arrangement (Index 1) scored a relatively low 1.18. For labor courses 8 and 9, the scores were stable at 0.2 or above in all semesters, and the scores were higher in all semesters. The synthesis presented above demonstrates that the platform of the labor education quality monitoring system in this paper can effectively and practically monitor the quality of labor education courses, while also offering digital support for course reform and implementation.
Research on Vehicle Traffic Monitoring Technology in Traffic Big Data Environment
Authors: Li Zhiming , Yang Jian , Liang Jigui , Wang Jianfei
Published: December 2024

Intelligent traffic flow analysis, as an emerging technology, provides effective solutions for urban traffic management through big data analysis and artificial intelligence algorithms. The Yolov4 algorithm is used to incorporate the Deep SORT multi-target tracking algorithm and multi-scale feature fusion detection model in this study. In addition, the improved Yolov4 algorithm model with multi-scale feature fusion based on the tracking algorithm is formed by combining the CLAHE algorithm in the input module of the original Yolov4 algorithm and by replacing the backbone network and optimising the neck network. The model presented in this paper has a better training effect on the vehicle flow evaluation index. The tracking algorithm employed in this paper is now 0.268 more accurate than the KCF algorithm, and it takes only 5.65ms to process the video images. In addition, the mAP, Rank-1, and Rank-5 of this paper’s model for monitoring small vehicles are 82.81%, 86.79%, and 95.43% respectively, which are better than the base model. The improved Yolov4 traffic monitoring algorithm proposed in this paper balances counting accuracy and running speed, and has superior vehicle traffic monitoring performance than the comparison algorithm.
Research on Digital Transformation Strategies of Ethnic Traditional Sports Programmes for Wushu Training
Authors: Li Zhiliang , Fu Jinfen
Published: December 2024

It is of great significance to exert the driving force of digitalization on the creative transformation and innovative development of ethnic traditional sports culture to accelerate the construction of a sports power and a cultural power. The study uses the construction activity data of ethnic traditional sports programs in 50 recreational regions as a case study to construct an analytical framework based on the technology-organization-environment (TOE) theory. After gathering 235 pieces of data, the study narrows down the factors that lead to the digital transformation of traditional ethnic sports programs. It then uses fuzzy-set qualitative comparative analysis (fs QCA) to look at the impacts of five factors that lead to the digital transformation of traditional ethnic sports programs: innovation investment, digital facilities, government support, enterprise integration, and teaching and learning digital intelligence. Using fuzzy set qualitative comparative analysis (fs QCA), we examined the group effects of five antecedent conditions, namely, innovation investment, digital facilities, government support, enterprise integration, and digital teaching, on the digital transformation of ethnic traditional sports. The study found that innovation input and digital facilities have significant time effects on the digital transformation of traditional ethnic sports programs and that a single variable does not constitute a necessary condition for digital transformation. Based on the results of the study, a development strategy for the digital transformation of ethnic traditional sports programs oriented towards martial arts training is proposed.
Research on the Innovative Integration of Ideological and Political Education Resources in the Digital Era
Authors: Hu Xuefeng , Zheng Dan , Su Yanhua , Zhang Lu , Xu Dan
Published: December 2024

The development of digital technology provides a new way for teachers to obtain, integrate and use ideological and political education resources, which can enrich the teaching content, stimulate students’ interest in learning, and thus improve the teaching effect. This paper proposes an ideological and political education resources integration platform based on Web service technology and J2EE technology, calculates the similarity of different types of ideological and political education resources using semantic association similarity, and constructs an educational resources information matching algorithm by combining metadata similarity. Then, the hash algorithm is used to pre-process the retrieval request of ideological and political education resources, and the unsupervised cross-modal hash retrieval model is established by combining the graph convolutional neural network, which is used to achieve the fast retrieval of ideological and political education resources. When the resource matching result set is upgraded from Top5 to Top50, the average search accuracy of the resource information matching algorithm always remains above 65%. The cross-modal hash retrieval model sees an average improvement of 2.93% and 1.52% on the tasks of retrieving images from texts and text from images. The resource integration platform for ideological and political education helps to achieve rapid retrieval and matching of ideological and political education resources and provides new support for diversified teaching of ideological and political education.
The impact of theatre education in the cultural heritage of higher education based on big data analysis
Authors: Li Bo
Published: December 2024

In the modern environment, the inheritance of excellent theater culture faces great obstacles, and education is an important means of cultural inheritance. The use of “big data analysis” in theater education plays an important role in cultural inheritance. The technology is meant to be utilized for semester analysis, teaching design, teaching reform, teaching reflection, student behavioral analysis, and student performance warning in drama education. Principal component analysis was used to analyze the influence indicators of cultural heritage in colleges and universities. The results of correlation analysis show that there are no indicators with a small coefficient of variation and true correlation coefficient greater than 0.95 or more, and the independence of the nine evaluation indicators designed in this paper is good. Through principal component analysis, the 5 principal components extracted in this paper about big data analysis contain the drama education indicators designed in this paper, which are the key elements contributing to the cultural heritage of colleges and universities.
Ethical Challenges of Intelligent Diagnostic Systems to the Doctor-Patient Relationship and Their Normative Development Path in Healthcare Regulations
Authors: Ma Yulian , Liu Chang
Published: December 2024

The innovation of the digital medical field, derived from the algorithms of the intelligent era, is bound to have ethical and risky problems while greatly improving diagnosis and treatment efficiency. The purpose of this paper is to outline the overall function of the intelligent diagnosis and treatment system and propose a standardized governance route to address doctor-patient conflicts and ethical risks that arise from it in the medical industry. This involves establishing a diagnosis and treatment decision-making system that targets common and multiple diseases, both in urban and rural areas. Incorporating CBR technology and improving the KNN method, the improved nearest neighbor method for spatial fuzzy number calculation is formed, together with the fuzzy hybrid case retrieval algorithm (FHRA-M) based on the characteristics of hospital diagnosis and treatment decision-making cases, to jointly innovate the case-based hospital diagnosis and treatment intelligent decision-support system. We look at how well the FHRA-M model retrieves information based on hospital diagnosis and treatment decision-making case features. The intelligent diagnosis and treatment system is utilized to assist medical students in learning clinical skills and doctors in determining what is wrong with patients. The self-assessment results of the trainees’ clinical skills showed that the study group had a higher completion rate of clinical skills, and the self-assessment results of first-aid skills, clinical thinking in emergency medicine, and proactive provision of first-aid services for chest pain patients were significantly better than those of the control group. Intelligent assisted diagnostic film reading has better diagnostic consistency than the conventional film reading method, and the average diagnostic time is 0.81±0.55min, which is significantly lower than the conventional film reading diagnostic time and obviously reduces the workload of diagnostic imaging physicians. The intelligent diagnosis and treatment system, as part of the standardized governance of medical regulations, must continue to enhance its diagnostic and treatment decision-making capabilities and establish algorithmic governance trust in the field of intelligent diagnosis and treatment.
Research on the Path of Teaching Ability Improvement of College Teachers Supported by Artificial Intelligence Technology
Authors: Chen Chen
Published: December 2024

In the intelligent era, information-based teaching is the trend of education reform in colleges and universities, and improving teachers’ information-based teaching ability has become an inevitable requirement for education and teaching in colleges and universities. According to the constituent elements of university teachers’ teaching ability, this paper proposes a scheme to improve teachers’ teaching ability by using virtual reality technology to build a virtual teaching and research room, introducing data sharing technology based on blockchain and federated learning, and creating a smart teaching environment in universities. Several experiments are conducted to measure the key pair generation time of this paper’s scheme in SGX and non-SGX environments, as well as the total time of the whole sharing system. Divide the experimental group of virtual teaching and research rooms into the traditional group, compare the effectiveness of pre- and post-tests, and verify the practicality of virtual teaching and research room construction. The comparison shows the level of informational teaching achieved by teachers in colleges and universities after smart teaching environments were constructed, when combined with the questionnaire data. Following the implementation of the smart teaching environment for teaching and research, 45.67% of teachers regularly engage in informational teaching, while less than 2% do not. This trend may partially correlate with their age.
The Realisation Path of Human-Computer Collaborative Learning in College English Teaching Based on Blended Learning Model
Authors: Gu Xiaoying
Published: December 2024

Reforming and innovating the teaching mode of the university English program is crucial for cultivating students’ English literacy and skills. This paper utilizes the theory of multiple intelligences and other relevant theories, along with the fundamental requirements of college English teaching in the blended learning mode, to guide the design of an intelligent teaching platform-based human-computer collaborative learning path. Subsequently, we conducted teaching experiments and explored changes in students’ learning attitudes and other aspects of college English teaching through a questionnaire after conducting a reliability test. It was found that there was a significant difference between the experimental class’s post-test scores on college English learning and those of the control class, with a p-value of 0.029<0.05 for the post-test test of the total scores. Also, the experimental class’s learning attitudes toward college English teaching have been significantly improved, which is significantly different from those of the control class (p<0.05) and supports the effectiveness of implementing the HC collaborative learning pathway. This paper’s design for the human-computer collaborative learning implementation path can enhance the effectiveness of blended learning college English courses and better cater to students’ learning needs and interests through innovative, collaborative teaching methods.
Intelligent Acquisition and Processing of Weak Signals in High Noise Environments Based on Deep Neural Networks
Authors: Wei Xuejie , Li Jia , Li Yanfeng , Li Wanjun
Published: December 2024

In this paper, according to the characteristics of weak signals, A/D conversion and software programming are used to produce an intelligent acquisition device for weak signals. After completing the acquisition of weak signals, they are saved in the form of data sets and divided into training and testing sets, and the long and short-term memory network and convolutional self-encoder are used to construct a weak signal processing model and design the corresponding loss function. Simulation is used to confirm the effectiveness of the model in this paper. It is found that when the input voltage is 0.4V, it leads to the largest conversion error value, whose value is 0.00019357003601074. The model was tested, and it was concluded that the final loss values of the training set and the test set were reduced to 0.000112 and 0.00298, respectively. The model in this paper improves the signal with noise from -5dB to 16.04dB, and it perfectly removes the noisy information in it. The noise reduction ability of the CAE-LSTM network is much better than other control models. This study is capable of rejecting interference signals in weak signals with perfect accuracy, which is useful for academic research in the field of signals.
U-Small and U-Locally Small Categories
Authors: Coghetto Roland
Published: December 2024

This paper deals with the notions of U-small set, U-small category, and U-locally small category (U is non-empty Grothendieck universe). We reuse the first Mizar formalization of categories contained in CAT_* series of Mizar articles in order to show the expressive power of the Tarski-Grothendieck set theory (which is the base for the Mizar Mathematical Library) in this area. We encode parts of SGA 4 by Nicolas Bourbaki.
Relationship Between Genetic and Overcrowding Factors and Weight Loss in Cattle Transported by Land
Authors: Arrieta-González Armando , Silva-Martínez Karla Lissette , Martínez-Sánchez Itzcóatl , Reyes-Zepeda Francisco , Ángel Teresa de Jesús Juarez del , García José Miguel del Ángel
Published: December 2024

Objective: Determine the influence of breed on the weight of animals from the northern region of Veracruz, Mexico during transport to fattening.
 
Theoretical Framework: The transportation of livestock by land is a common practice that animals undergo at least once in their lives, and this practice is usually linked to trade. The loss of live weight and carcass yield during transportation is a concern for animal welfare and the producer's economy.
 
Method: 434 calves of different breeds, weighing between 350 and 440 kilograms, were examined before boarding the vehicle, taking the following information: breed, weight before boarding and after disembarking, handling, position in the cage, conditions during transport.
 
Results and Discussion: The animals used were classified into three groups: Low weight, medium weight, and high weight, where animals with higher weight tend to lose more weight. Of the breeds analyzed, the results showed that the one that loses the most weight is the Brahman breed.
 
Implications of the research: The research was derived from the needs of livestock producers in northern Veracruz. The conditions during transport and the driver's experience can make the difference between the presence of stress in the animals reflected in productive indicators.
 
Originality/Value: Cattle ranching is one of the most relevant activities in the state of Veracruz; however, there is no documented information on the weight loss of cattle during transportation
Does trauma system regionalization improve outcomes in patients with major traumatic injuries?
Authors: Jummani Zia
Published: December 2024

Introduction:
Trauma system regionalization is a fundamental approach to trauma care leading to preventable deaths and decreased morbidity amongst major trauma care patients. A trauma system consists of all critical components of the patient pathway which include injury prevention, pre-hospital care, patient transfer, initial management, definitive management, and rehabilitation. Trauma care systems are operating in the USA, Germany, Australia, and the UK. UAE initiated trauma registry and system development in 2010. Comparative analysis of trauma system would enhance strategy implementation by public health decision makers in enhancing trauma patient care outcome measures.
Aims / Objectives
Systematic review of the evidence for the impact of trauma system regionalization on clinically important trauma outcome measures including mortality.
Materials / Methods
Trauma registry data from TARN in the UK would be analyzed in addition to the literature search for the effect on trauma outcome measures pre-trauma and post-trauma system regionalization.
The Al Ain Hospital (AAH) trauma registry data would be analyzed as reflection of UAE trauma practice. Data were obtained from the AAH trauma registry from January 2014 to March 2019 of 6210 patients.
Discussion:
The study showed various beneficial interventions such as pre-hospital care, trauma bypass, major trauma center, specialist and senior clinician assessment, upgraded hospital protocols, rehabilitation which was deemed instrumental in delivering the right care to the right patient at the right time and enhancing the quality of trauma care.
• Young male expat population were higher in UAE.
• Falls as a cause of the trauma are higher with 37.2% in UAE bringing into focus the need for health and safety preventative measure.
• Trauma centers in the UK cater to patients with higher ISS accounting for higher mortality and bed days.
• 24% of the UAE trauma patients had full trauma code activation and clinically managed either by an ED Specialist or Consultant.
• The majority of the patients were discharged with good GCS score and the mortality for the trauma patients was only 50 out of 6210 patients in the registry which surprisingly is far less as compared to UK TARN data of almost 11.7%. This could be because of the ISS score of less than 15 for almost 92.3% of all UAE trauma patients.
Conclusion:
Research is suggestive of improvement in trauma care services and risk-adjusted mortality for trauma patients with regionalization.
For the UAE to realize benefits every critical component needs to be carefully studied and analyzed before its implementation along with cost-benefit analysis for authorities to decide and facilitate policies for the trauma system development and regionalization.
Reference / Recommendation
Recommendations are based on citations, literature review, observations, data analysis and researcher's clinical practice in the Emergency Department.
Case Report on May-Thurner Syndrome Presented in Emergency Department with Pulmonary Embolism and Deep Venous Thrombosis Post Oral Contraceptive Pill Consumption
Authors: Akhlaque Faiza , Shahid Asma
Published: December 2024

Case Summary:
A 42-year-old woman with a history of multi-nodular goitre, prolactinoma, endometriosis, and polycystic ovarian disease developed left leg swelling after starting oral contraceptive pills (OCPs) on August 19th. She flew to Singapore and presented with severe leg pain, diagnosed with deep venous thrombosis (DVT). OCPs were stopped, and she was discharged on Rivaroxaban. Returning to the UAE, she presented the same day with shortness of breath and chest pain. Physical exam showed left leg swelling and pitting edema. Lab tests indicated elevated D-dimer (2.52), suggesting ongoing potential thrombotic activity. Thrombophilia screening was negative. Imaging confirmed DVT involving the left iliac, femoral, popliteal veins, and posterior tibial vein. CT Angiography found a pulmonary embolism (PE).CT Abdomen/Pelvis revealed compression of the left iliac vein by the right iliac artery, causing acute thrombosis—suggestive of May-Thurner syndrome. Treatment was guided by these findings, addressing her complex condition promptly.
Management:
Patient was initially started on Enoxaparin, After diagnosis Vascular surgery was taken on board underwent Mechanical thrombolysis and angioplasty (special oblique stent). Due to large amount of contrast used, patient developed acute kidney injury creatinine raised to 1.56 (0.5-1)] which was managed with oral fluid encouragement and IV fluids. Was discharged on Enoxaparin twice a day dose for 3 months.
Discussion:
MTS is an overlooked cause of Venous Thromboembolism, characterized by left common iliac vein compression from the right common iliac artery against the fifth lumbar vertebra. This anatomical variant increases left-sided DVT incidence, contributing to 2-5% of cases. Risk factors include female sex (postpartum, multiparous, or using OCPs), scoliosis, hypercoagulable disorders, and cumulative radiation exposure. MTS may associate with pelvic congestion syndrome, nutcracker syndrome, ruptured iliac vein, retroperitoneal hematoma, or anatomical variations leading to venous compression. Minimally invasive treatments like angioplasty and stenting offer relief, ensuring immediate and long-term patency.
In conclusion, this case underscores the importance of early recognition of MTS, especially in women on OCPs presenting with left-sided iliofemoral DVT. The complexity of managing multiple comorbidities necessitates a multidisciplinary approach, involving emergency department teams, vascular surgeons, and specialists. Timely intervention is crucial for preventing serious complications associated with DVT and PE, emphasizing the significance of awareness and collaboration among healthcare professionals.
The Impact of a Hybrid Training Program on Point-of-Care Ultrasound (POCUS) Knowledge Acquisition & Skills among Non-ultrasound Trained Physicians
Authors: Alnuaimi Maryam , Shokoohi Hamid , Navedo Deborah , Dias Roger
Published: December 2024

Background:
Physicians from around the world with a variety of training backgrounds practice medicine in the United Arab Emirates. Most of these physicians have not received formal ultrasound training, a critical skill to practice medicine in several specialties. Furthermore, no formal ultrasound fellowships or hospital credentialing processes exist in the UAE to prepare physicians to perform point-of-care ultrasound (POCUS).
This prospective interventional pre/post study investigated the impact of a longitudinal hybrid (online and hands-on) training program on POCUS knowledge acquisition and skills of non-ultrasound-trained physicians in UAE.
Methods:
The POCUS training workshop was spread over four full days to accommodate capacity and physicians\' shift schedule limitations (three hours of didactics and four hours of hands-on). The course focused on teaching the following ultrasound modalities: Cardiac, Focused Assessment with Sonography in Trauma (FAST), and Lung Ultrasound. Participants\' knowledge was assessed via multiple choice questions pre-workshop, post-didactics, and post-hands-on while POCUS scanning skills were evaluated using the ultrasound competency assessment tool (UCAT).
Results:
Fifty-four physicians who had no prior ultrasound experience enrolled in the workshop, of which 25 were Internal Medicine residents, 16 were Emergency Medicine residents, 8 were General Practitioners working in the emergency department, 1 Emergency Pediatric fellow, 1 Hospitalist, and 3 were newly graduated physicians in their internship year. Significant improvements were observed in the knowledge exam results with pre-course, post-didactics, and post-hands-on with the average of the correct answers, increasing from 4.9 to 6.8 and then to 8.5, respectively, post-course (P
Pharmacy Preparedness in Disaster Management in Pediatric Emergency Department (PED)
Authors: Usman Dr
Published: December 2024

Introduction:
A pharmacist plays a crucial role in disaster management in (PED) especially during natural disasters. Pharmacist role in disaster management is not just limited to dispensing medication, ensuring the continuity of drug therapy, identifying drug interactions, managing drug shortages, and preventing prescription errors. Pharmacists are uniquely positioned during disasters to provide healthcare continuity and medication management to affected communities. Floods are one of the natural disasters occurring worldwide which have a massive range of health impacts. In addition to immediate dangers such as drowning, floods can increase the transmission of some waterborne diseases i.e. cholera, malaria, gastroenteritis which can be easily treated with oral rehydration salts, antimalarial, antibiotics and IV drips if needed.
Objective:
This study was aimed at providing an overview of pharmacists' roles in disasters and formulating a definition of roles and tasks regarding the medication safety and to calculate the burden of diseases mainly water borne diseases, manage medication shortage with top four medicine consumed, medication education to patients, total number of patients received with top first three diagnosis, with emergency preparedness and response plan".
Methodology:
A quantitative analysis was used to gather data from EMR (Electronic medical record). The study was conducted in one of the Pediatric Emergency department of tertiary care hospital, in Sindh (Pakistan) supported by Child Life foundation for the month of August and September 2022 in which we have covered the percentage of total number of patients received, total number of water borne diseases with presenting complaints of fever, loose stool, vomiting, abdominal pain. We have analyzed the stock position of medicine i.e. R/L (ringer lactate) 500ml drip, normal saline 100ml drip, Inj. Ciprofloxacin, Inj. Ondansetron, ORS consumption with respect to total number of patients received. Also, we have calculated the total number of patients received with top first three diagnosis i.e Cholera, gastroenteritis, typhoid.
Conclusion:
It is concluded that the maximum number of patients are 51.4% with presenting complaints of fever, loose stool and vomiting in the month of Aug'22 and the maximum number of patients are 34.8% with presenting complaints of fever, loose stool and vomiting in the month of Sep'22.Maximum diagnosis was cholera with 50% in Aug'22 & in Sept'22 were 55.6%.Maximum normal saline drips were consumed on patients 44.8% in the month of Aug'22 & in Sept'22 were 39.7%.Maximum normal saline drips were consumed with number of packs 8684 in the month of Aug'22 & in Sept'22 were 12308.
"The Perfect Week": A Novel Departmental Quality Improvement Initiative
Authors: Madott Elsa , Prasad Rishi , Rehman Anzal , Abdurahman Ramna , Furstenburg Phillip
Published: December 2024

Introduction:
Patient-centered care in the Emergency Department (ED) is an often overseen but critical component of holistic healthcare. ‘The Perfect Week' was a novel initiative by the ED at Mediclinic City Hospital seeking to explore opportunities to improve patient-centered care at our facility with an emphasis on patient experience.
Objective:
To improve workflow performance, safety, and patient experience through implementation of multifaceted strategies, focused on improvements in workflow, placement, and resource allocation in the ED.
Methods:
The Emergency Department at Mediclinic City Hospital, Dubai initiated a Quality Improvement Project, entitled "The Perfect Week." Over a period of 7 days, multiple new strategies were implemented including 1) additional staff per shift, 2) placement of a physician in triage (PIT), 3) frequently used medication available in cupboard for STAT orders in triage, 4) setting up a treatment room to expedite orders placed by PIT doctor ("PIT STOP") prior to shifting to majors area, 5) inter-departmental prioritization of ED order requests, 6) emergency physician in charge (EPIC) to facilitate flow, expedite admissions/discharges and deal with time consuming tasks. During the week-long project, multiple variables were measured, with a specific focus on the following: 1) Time from registration to triage, 2) Time from being triaged to being seen by a doctor, 3) Time from ordering analgesia to execution of order, 4) Time from Trop I sample collected to reaching lab, 5) Time from Trop I reaching lab to preliminary result, 6) Ultrasound turnaround time (TAT), 7) CT scan TAT, 8) ED Length of Stay (LOS), 9) Admission waiting time. Efficiency assessed by measuring the time it took for each variable. Subjective feedback on patient experience measured by means of Google reviews. We compared this week with the previous weeks to assess whether efficiency has improved.
Results:
An overall improvement was noted in all variables measured. Reduced times were noted especially in triage to time seen by doctor (mean reduction time 13 min), Ultrasound TAT (by 8 min), CT scan TAT (by 17 min), ED LOS (by 18 min) and admission waiting time (by 9 min). A total of eighty-two positive Google reviews were received in 1 week, with feedback primarily focused on patients' reduced length of stay, waiting time, efficiency, and healthcare provider empathy.
Conclusion:
Performance, safety, and patient experience significantly improved during "The Perfect Week" as demonstrated above. Additional staffing, of note, including a PIT, PIT STOP nurse and EPIC, was found to have considerable beneficial impact on patient experience.
Point-of-care ultrasound clinical workflow pilot: design and adoption of a simplified automated workflow within EHR for all clinical settings
Authors: MD Viveta , MD Ashley , MD Zahra-Ghazi , MD Luyao
Published: December 2024

Background
Point-of-care ultrasound (PoCUS) offers clinical diagnostic, procedural and reassessment guidance in both the acute and non-acute care setting. However, implementation of a PoCUS program is challenging to put into practice as it requires custom design through a collaborative effort from various stakeholders in a hospital system such as clinical, IT, credentialing, Biomed, infectious control, compliance and billing that needs to work in various clinical settings.
Objective
Our goal was to create and implement a clinically inspired but IT-driven PoCUS workflow solution within an EHR that maximally supported a clinicians' intuitive workflow, while automatically archiving images that were easily shareable, and produced clear documentation with automatic billing capability in all types of clinical settings.
Materials and Method
We used an iterative design process that stressed intuitive clinical workflow, maximal use of existing systems, data reuse and automatic billing. Creation of this clinical PoCUS workflow required the use of ultrasound machines, PoCUS middleware software and EHR-provided tools, vendor-neutral archive and custom programming.
Results
We developed a PoCUS clinical workflow that requires the clinician to only interface with the ultrasound machine and the EHR system, bypassing the need to directly interface with a third-party PoCUS middleware software. This order-based clinical workflow allows for the immediate storage of all PoCUS images in a vendor-neutral archive and creates an associated image link for real-time access in the EHR for shareability with other clinicians. All interpretation and documentation to support images are attached to images, and accessible in the EHR within day-of-service notes through customized smart forms. Each completed smart form will automatically generate a charge for the appropriate PoCUS exam. This solution was put into a live environment in our emergency department in May 2023 with 35 individual PoCUS orders and the introduction of 10 combination PoCUS orders that were symptom-based PoCUs order sets. Over the first month, this solution was utilized 750 times by 67 different clinicians with 17 individual PoCUS orders and 4 combination PoCUS orders. The number of compliant and billable PoCUS studies performed and captured in our emergency department without any additional administrative follow-up rose from an average of 390 to 675 studies per month.
Conclusion
As a strong advocate for safe and efficient PoCUS utilization in clinical care, we developed and deployed a clinically inspired but IT-driven PoCUS workflow solution that was adopted and used over X times a month. Key success elements include an emphasis on clinical workflow simplicity, real-time ability to share images within the EHR, automatic billing and an effective training effort at go-live.
MENINGOCOCCAL MENINGITIS WITH ARNOLD-CHIARI MALFORMATION: CASE REPORT
Authors:   Department of Children', Kramar Lyubov ,   s Infectious Diseases, Volgograd State Medical University, Volgograd, Russian Federation, Larina Tatyana ,   Department of Children's Infectious Diseases, Volgograd State Medical University, Volgograd, Russian Federation, Khlynina Yuliya ,   Department of Children's Infectious Diseases, Volgograd State Medical University, Volgograd, Russian Federation
Published: December 2024

Arnold-Chiari malformation (ACM) is a developmental anomaly of the brain characterized by the descent of the cerebellar tonsils into the foramen
magnum, leading to compression of the medulla oblongata and subsequent neurological symptoms. ACM can manifest at any age due to various
provoking factors, such as toxic effects, head injuries, and congenital craniofacial anomalies. We present a case involving a 5-year-old boy who
experienced clinical and radiological deterioration of ACM while undergoing inpatient treatment for meningococcal meningitis. Prior to hospitalization,
the child had achieved critical developmental milestones and exhibited no neurological symptoms. Upon admission, a diagnosis of meningitis was
established, and a diagnostic lumbar puncture was recommended. The patient had no clinical or laboratory contraindications for the procedure
and showed no signs of cerebral edema. However, a complication arose following the lumbar puncture. An MRI scan of the brain revealed that the
cerebellar tonsils had herniated into the foramen magnum (16 mm below the edge of the foramen) with compression of the brainstem, resulting in a
diagnosis of ACM. Despite receiving comprehensive therapy in the intensive care unit, it was not possible to restore central nervous system functions.
Unfortunately, on the 59th day of hospitalization, the patient succumbed to cardiac arrest.
Keywords: Children, meningococcal meningitis, Arnold-Chiari malformation, rare diseases, clinical case.