bluuebunny/crossref_metadata_2025 huggingface dataset:
FPGA accelerator for wireless AR/VR display
Authors: Mei Lifeng
Published: February 2024

Nowadays, Virtual reality(VR) and Aug- mented reality(AR) have become one of the most popular format in many fields, for example video gaming, medical training and even aviation. VR and AR technique simulates images in an edge device, it gives an immersive experience to the users. AR/VR requires high resolution and high FPS for good experience. However, most of the AR/VR devices are made of embedded device due to the limitation of the size and weight of the headset. It is hard to render high quality frames in headset. Many popular VR/AR applications utilize the desktop and server to render the frames and transmit the frames to VR/AR for display. Data transmission from a more powerful device to the VR/AR device requires high transmission speed (1.6GB/s for Oculus quest 2), it is hard to provide the bandwidth with wireless protocol (WIFI/5G). HDMI or DP cable can be applied, but they limit the use case of the VR/AR devices. In this paper, we proposed a latency sensitive super sampling hardware accelerator for VR/AR devices based on machine learning which can significantly reduce the bandwidth requires to transmit frames to VR/AR. In our experiment, the super sampling can deliver high-resolution frames with 25% bandwidth which enable the wireless protocal for VR/AR devices. We implemented the accelerators in RTL and synthesis it with 130 nm skywater pkd. The power consumption of our accelerator at normal data rate for VR/AR devices is 20.97 w and the area is 299.602 mm2.
A design of intelligent AGV system combined with a robotic arm for flexible production lines
Authors: Tai Junjie
Published: February 2024

Unmanned mobile robots have broad application prospects in industrial production. With the continuous deepening of Industry 4.0, the complexity of manufacturing workflows has skyrocketed, and researching robots suitable for flexible production is becoming a focus of development. With the rapid development of computer technology and sensor technology, the ability of robots to obtain their own state and environmental information has also been greatly expanded. Studying the work, path planning, and obstacle avoidance of robots has important practical significance. This article designs a flexible production robot that integrates Automated Guided Vehicle (AGV) with industrial robots. It has the ability to perceive the environment, make optimal decisions, and operate independently. It can achieve functions such as mobile transportation, flexible operation, and human-machine interaction and cooperation in the production line. This article uses Gazebo to construct a production environment and simulate robot movement. In addition, MATLAB is used to conduct simulation experiments on the operation of the UR10 robot. The results and planning path map validate the feasibility and effectiveness of this method. The mobile robot designed in this article combines a robotic arm with an AGV, which has certain application value in future flexible manufacturing factories and provides a certain reference value for flexible production.
An design of robotic arm control algorithm for explosive disposal robots
Authors: An Zihao
Published: February 2024

Automatic explosive disposal robot have great potential to replace manual Explosive ordnance disposal(EOD) robots. In order to face the practical application scenarios of complex transformations, it is of great practical significance to study a fully automatic and autonomous EOD robot that can transfer dangerous goods to a safe area. In this paper, a mechanical arm algorithm based on the inverse kinematics of robot is presented. The relative position of the bomb is input by the electromagnetic induction device to guide the mechanical arm to the corresponding position. After obtaining the bomb, the deviation angle of the mechanical arm is input in real time by the gyroscope to achieve the relative stability of the object transportation. The experimental results indicate that the explosive disposal robot has certain practical significance.
Application development analysis and prospect of express sorting system based on mechanical arm
Authors: Zhang Shubo
Published: February 2024

At present, with the improvement of peoples living standards and the rapid development of e-commerce, the volume of express delivery is increasing. The existing manual express sorting method is high-cost and low-efficiency, and an efficient domestic waste sorting method is urgently needed by the society. At present, the field of robotics is developing rapidly, and mechanical arms have various types and functions. Using mechanical arms to replace manual work to complete express sorting tasks has advantages such as high efficiency and labor saving. This paper analyses the application and development of different types of mechanical arms in express sorting system. First, the research status of express sorting and the development of mechanical arm are introduced in detail. Second, based on the structural characteristics, mechanical arms are divided into articulated robot and parallel manipulator. At the same time, the characteristics of the two kinds of mechanical arms and their application in express sorting system are analysed. Finally, by comparing the advantages and limitations of different mechanical arms in express sorting field, the application prospects of different types of mechanical arms in logistics sorting field are discussed.
Identifying network connection: Benign vs. DoS attack - A comparative analysis of binary classifiers
Authors: Gu Shuhan
Published: February 2024

The escalating complexity of cyber-attacks coupled with the increasing sophistication of attackers have created an imperative need for robust and adaptable defense mechanisms to ensure the security of network infrastructure. Among these threats, Denial of Service (DoS) attacks stand out prominently. These attacks focus on inundating systems with high-frequency traffic to exhaust resources and disrupt the availability of services. Consequently, the accurate and timely identification of 'DoS Attacks' is of paramount importance in upholding the integrity and functionality of networks. In this context, the present paper aims to delve into the efficacy of various binary classifiers in effectively distinguishing normal network connections from instances of 'DoS Attacks.' By undertaking this exploration, the study aims to pinpoint the classifiers that exhibit the highest level of effectiveness in tackling this specific task. Ultimately, a comprehensive understanding of which classifiers perform best in discerning these types of cyber threats can significantly contribute to enhancing the overall security posture of network infrastructures.
Approaches to enhance user experience and satisfaction with the design of the ComplaintCraft system: A study on its features and objectives
Authors: Zhang Jiatao , Yuan Dapeng , Li Qiran
Published: February 2024

The complaint letter is significant in interpersonal communication and feedback. To many individuals, particularly those with limited experience and expertise in letter writing, it remains a significant challenge to effectively express their emotional complexity. Consequently, many individuals choose not to voice their concerns and emotions. To address this issue, we conducted 3 iterations to formulate ComplaintCraftan innovative system that enables users to interactively customize and generate complaint letters with the help of ChatGPT: (i) Conducting a survey with 63 staff members to determine their specific requirements and preferences about complaint letter. (ii) Co-designing a low-fidelity prototype with three students, based on their feedback, gleaning valuable insights, refining interfaces, and sequentially inputting formulation. (iii) Evaluating the user experience of the initial system of ComplaintCraft in different real-world cases with six individuals who intended to file complaints in the near future, gaining detailed insights into which feature in ComplaintCraft is helpful in addressing their real-world issues when composing complaints and what problems exist in the initial system. The initiatives ultimate goal is to enhance the usability of AI writing tools and encourage users to express themselves with confidence.
Mixed Reality: Present and future
Authors: Hu Zhenyu
Published: February 2024

Mixed Reality (MR) is an emerging technology that can create a visual environment connecting the real world and the virtual environment. With this technology, the way information is presented has changed in a great number of domains. However, for common people, this technology still looks far away from life and seems unintelligible. Therefore, this essay reviews the development and recent research of MR, trying to help people without professional backgrounds understand this emerging technology and offer researchers another perspective on MR. By using the methods of text mining, this essay has reviewed more than twenty papers related to MR on different topics, including the definition, the principles, and the applications. The objective of this essay is to provide a comprehensive understanding of MR, which may promote wider applications and research.
Investigation of frontier Multi-Armed Bandit algorithms and applications
Authors: Wang Liangxu
Published: February 2024

Since the amount of content online is growing exponentially and people's time is limited, there is an urgent need for a high-performance algorithm that can make effective recommendations. This paper will introduce a recommendation system model, a sequential decision model, which is called Multi-Armed Bandit. The main idea of the Multi-Armed Bandit model is that at the beginning of the algorithm, all the recommended items are set to the same weight. In the subsequent recommendation process, the model explores the distribution of each item while changing the weight of each item according to the average revenue of each item, and selects more items with larger weight. This paper will introduce three cutting-edge Multi-Armed Bandit algorithms, their algorithmic ideas and their respective characteristics. The idea of Explore-Then-Commit (ETC) algorithm is to explore each item a certain number of times, and then select the best item for subsequent recommendation. The idea of the Upper Confidence Bound (UCB) algorithm is to represent the "exploration" and "exploitation" of each item by numerical values and add them to the UCB value, and select the item with the largest UCB value each time. The idea of TS is to first assume the distribution of each item, and then change the parameters of the distribution of each item based on the reward. At the end, this paper will introduce several scenarios where Multi-Armed Bandit algorithms can be used to give the reader an idea of how to use Multi-Armed Bandit algorithms.
Design a 5-stage pipeline RISC-V CPU and optimise its ALU
Authors: Deng Lifu
Published: February 2024

The RISC-V instruction set has advanced and expanded significantly in recent years. It is an open instruction set architecture (ISA) based on the concept of Reduced Instruction Set Computing (RISC). This article uses Verilog to design a 5-stage pipeline CPU based on RISC-V architecture in Vivado 2022.2. The CPU can execute 38 instructions and optimises its arithmetic logic unit (ALU) by optimising adders, shifters, and multipliers. Next, write a testbench in the simulation software to verify the functionality of the CPU. RTL diagrams and reports are then generated to verify the design structure and evaluate resource allocation. Finally, the CPU successfully executes the instruction and obtains the correct operation result, and the occupation of LUT resources in the shifter part is reduced. This work serves as an important reference for system-on-chip (SoC) and computer design in general. It not only highlights the potential of the RISC-V architecture but also demonstrates the success of optimisation efforts. This paves the way for more powerful and efficient computing systems.
An overview of the emotional brain-computer interface
Authors: Jia Chengyu
Published: February 2024

This paper provides a comprehensive review of current research advances in emotional brain-computer interfaces. We introduce an approach to classifying emotions and highlight the two main datasets used for emotion recognition (DEAP and SEED). Subsequently, an extensive analysis of existing emotion recognition methods, both traditional and deep neural network methods, is presented. Finally, we explore the potential benefits of using transfer learning techniques to improve the performance of emotion recognition methods. Various deep neural network models exhibit redundant neural units and complexity, while facing challenges such as reduced computational power and reaction speed, increased storage requirements, and hardware dependency. The authors propose to integrate learned neural network pruning algorithms to simplify complex models, minimise hardware resource requirements without compromising accuracy, and improve operational capabilities with improved discriminants.
An overview of 6G wireless systems
Authors: Han Daxiao
Published: February 2024

With the demand of low latency communication explodes, the inherent limitations of the fifth generation communication is constantly exposed to the public. Such 5G shortcomings are spurring worldwide activities focused on defining the next-generation 6G wireless communication system. So the paper offers an overview of 6G wireless systems based on existing literature and statistical data. The paper concentrate on the driving forces in the development of 6G. In the meanwhile, the paper presents some potential application scenarios in the future. In the last section, the paper points out some challenges that are most likely to encounter in the coming development of 6G. Based on current prospect of 6G, it is likely that 6G features low latency and high efficiency and has 100 times better transmission capacity than 5G. The future applications are holographic telecommunications, mutual interaction of emotional thinking, and digital twinning. In conclusion, integrated with different technologies like AI,Terahertz Communications, and blockchain, 6G features many advantages and will permeate into peoples daily lives.
A game production based on Angry Birds
Authors: Li Yanlin , Yang Kun , Yang Yichen
Published: February 2024

In the past few years, the game industry has undergone many changes, and now it has improved from single player games to the era of online mobile games. Games that used to only run on computers now can also be used on smart phones. This time we improve the once popular game "Angry Birds", with the aim of making the content of the game more comprehensive and better attracting players. For example, we have added more kinds of birds to the game and optimized animation effects such as the injuries of pigs and the deaths of birds. In the programme and improvement of making game, we also referenced a lot of literature and videos on the internet, and the experimental results showed that its a success of game making because most people who experienced our Angry Birdsgave it a positive review and high points.
Exploring the impact of artificial intelligence-based assistants in modern education: The case of ChatGPT
Authors: Fang Linlin
Published: February 2024

The rapidly evolving digital landscape of the 21st century has marked the ascendancy of Artificial Intelligence (AI) as a potent transformative element across multifarious sectors, especially within the educational realm. This research undertakes a meticulous exploration of AI-integrated conversational models, emphasizing the pivotal role of ChatGPT, a brainchild of OpenAI. Delving into its developmental trajectory, this study maps the intricate transitions from ChatGPT's version 3.5 to its superior successor, version 4.0. This journey reveals marked enhancements, such as the model's adeptness at handling extensive textual data, and its uncanny ability to produce nuanced, human-like interactive responses. From empirical and qualitative evaluations, it was found that ChatGPT has demonstrated a profound impact in two main areas: expanding student engagement and advocating for a hyper-personalized learning paradigm. Findings suggest a compelling correlation between ChatGPT-integrated pedagogical methods and augmented student motivation, proactive engagement, and enriched academic achievements. Moreover, detailed case studies within specialized fields, notably medical education and legal studies, underscore ChatGPT's versatility in tailoring instructional content to niche disciplinary requirements. In synthesizing these insights, this research postulates an imminent educational future characterized by deep personalization, dynamic interactivity, and an enhanced learner-centric ethos. Such a vision places this study at the forefront of educational discourse, proffering invaluable guidance for educators, technologists, and policymakers endeavoring to maximize the benefits of AI-infused pedagogy.
The application of optical fiber in network communication
Authors: Li Jingyao
Published: February 2024

In recent years, optical fiber communication has gained widespread use in daily life due to its robust communication and transmission capabilities, strong confidentiality, anti-interference properties, and the availability of convenient and accessible materials. This technology has made remarkable strides in network communication and integrated device design, among other areas. This article will commence by discussing the fundamental structure of optical fibers and illustrating the propagation of optical signals within them. It will then analyze the benefits, such as higher transmission rates, wider frequency bands, and the low loss characteristics of optical fibers. Subsequently, the article will enumerate two of the most commonly utilized Optical Fiber Communication (OFC) technologies: Wavelength Division Multiplexing (WDM) technology and optical amplifier technology. It will summarize their principles and strengths. Finally, the article will showcase the practical applications of optical fiber communication, particularly focusing on its role in 5G mobile communication, military operations, and radio and television communication.
Use wavelet analysis and other algorithms for the process of image denoising in the mathematical field
Authors: Niu Yide
Published: February 2024

By using sophisticated mathematical methods in MATLAB, the investigation into the complex field of image noise reduction presented in this paper is thorough. like threshold denoising, correlation denoising, and modal maxima denoising. The use of both manual questionnaires and machine-based evaluation measures to fully evaluate the effectiveness of the denoising algorithms is a key component of this study. This dual strategy, which takes into account both objective and subjective components of image quality enhancement, ensures a well-rounded review. According to our research, correlation denoising consistently proves to be the most practical and effective method across a range of noise types and image categories, although modal maxima denoising and threshold denoising show promising outcomes in some situations. The thorough statistical analysis of our findings supports this conclusion, making it a convincing option for real-world picture denoising applications. In conclusion, this research broadens the range of image denoising techniques, which benefits both the field of image processing and the mathematical community. This study provides a holistic view of image denoising by incorporating wavelet analysis and other sophisticated algorithms, ultimately giving practitioners a deeper understanding of the techniques available for improving image quality in the presence of noise.
The application of artificial intelligence in FPS Games
Authors: Liu Xu
Published: February 2024

It has been a long time since games and artificial intelligence(AI) influenced each other. However, when it comes to the area of the application of AI in games most people talk about chess games. AI also plays an important role in First-person shooter games. First-person shooter games, also known as FPS games, provide abundant testing environments for developing and testing artificial intelligence algorithms too, and the advances in artificial intelligence have allowed the game industry to produce better FPS games. This essay is a iterature review that summarizes why and how people apply AI in FPS games, in both players aspect and the game industry aspect. This essay briefly introduce the current research status, analyzes current challenges, and predicts future research directions by studying the application of artificial intelligence in FPS games as well as introduce the application of artificial intelligence in FPS games, explore the application of artificial intelligence in the gaming industry and its impact on FPS game development, and provide reference information for relevant research work.
Brain tumor malignancy classification using improved VGG16 based on MRI images
Authors: Han Jinru
Published: February 2024

This study introduces a method based on Magnetic Resonance Imaging (MRI) images and Convolutional Neural Networks (CNN) to categorize the malignancy of brain tumors. The major goal of this research is to develop an accurate and reliable model that aids in tumor early identification, leading to better patient outcomes. Specifically, first, the MRI images undergo preprocessing, which includes intensity normalization and random brightness and contrast adjustments for data augmentation. Next, the Visual Geometry Group (VGG16) model serves as a baseline, enhanced with flatten, dense, and dropout layers. Transfer learning is applied to leverage pre-trained features from VGG16, improving the generalization capability of model. A sizable collection of brain MRI pictures is used to train the model. The experimental outcomes on the MRI dataset illustrate the efficacy of the suggested model. The CNN-based approach achieves high accuracy in classifying brain tumor malignancy based on MRI images, indicating its potential in medical image analysis and its significance in early tumor detection and diagnosis. The proposed model serves as a valuable tool for healthcare professionals, aiding in well-informed decisions and providing an ideal medical approach for early detection of brain tumors. This research opens avenues for future work in medical imaging and deep learning, paving the way for improved treatment and diagnosis of brain tumors.
Utilizing BERT for entity relationship extraction in Chinese medical texts
Authors: Ren Yaqian
Published: February 2024

The Chinese medical sector has been somewhat lacking in knowledge graphs, a deficiency this study aims to address. By leveraging the prowess of the BERT pre-training model, a two-tier approach has been innovated that utilizes separate pre-trained encoders for both entity and relational models. These models are intricately linked: the output from the entity model seamlessly flows into the relational one, making it possible to adeptly extract entity relationships from Chinese medical texts. This research is anchored in the CMeIE dataset, sourced from the esteemed CHIP (China Health Information Processing) conference. This dataset stands as a recognized benchmark in evaluating Chinese medical texts. By harnessing this data, the methods have been rigorously tested and validated. The promising experimental results underscore the effectiveness of the approach in distilling relationships from Chinese medical literature. The implications of this research are profound. Beyond just enriching the Chinese medical domain, the boundaries of NLP technology are also being pushed. Potential applications are manifold: from constructing comprehensive Chinese medical knowledge graphs to assisting in early-stage medical diagnoses. This innovative approach not only addresses an existing gap but also sets the stage for future advancements in medical NLP.
Understanding the cost of universal school vouchers: An analysis of Arizona’s Empowerment Scholarship Account program
Authors: Griffith Michael , Burns Dion
Published: January 2024

We analyzed student enrollment in the Empowerment Scholarship Account (ESA) program in Arizona, the combined cost of the earlier enacted ESA program and the new universal voucher program, and how the expansion of the ESA program impacts education funding in the state. Because the costs of the new ESA program are paid for through the state’s Basic Student Aid formula, the increased costs for this program will compete with public school funding unless the Arizona Legislature increases the funding level sufficiently to account for the cost of the new students being covered. This report outlines the cost estimates and calculations in detail.
Comparison product of muscle contraction strength measuring device based on specifications and its uses
Authors: Mustofa Rizal , Setiyana Budi , Julianti Hari Peni , Ismail Rifky
Published: February 2024

Currently, technological developments have been used in several health cases. One technology used for health is a tool to measure the strength of muscle contractions. So far, measuring muscle contractions still uses manual methods, namely the measurement muscle strength test method. Apart from that, health workers also measure manually by feeling the muscles to be measured. The need for tools to measure muscle contractions in the medical world is quite large because these tools can be used for various needs of doctors and nurses. There are many commercialized products on the market. The first aim of this article is to review four products that are available on the market. The second aim is to provide an overview of the use of the four products that have been carried out by previous researchers and the results. This article also discusses various aspects of product specifications. The research results show that each product has its own advantages. When we compare these products, it is better for us to return to the kind of product we are looking for. For example, if we want a product with high-class features that is equipped with several games, then we can choose MyoBoy. Myo armband and Trigno™ are used to identify several movement force conditions that are influenced by muscle strength, which has been equipped with an Inertial Measurement Unit (IMU) sensor. MyoWare is used to make bionic hands or bionic legs that can be controlled using electromyography (EMG) and has a relatively economical price.
Antidepressant-Like Effects of Cinnamomum verum on Open-Space Forced Swim-Induced Depression in Mice
Authors: Yusha'u Y. , Aminu Hanafi Aisha , Muhammad Adam Umar
Published: February 2024

Depression is a mental disorder characterized by depressive episodes, such as low mood, low self-esteem, feeling of guilt, and poor concentration. Depression has a high comorbidity with cognitive impairments. Studies have shown that cinnamon has anti-inflammatory antiviral, antihypertensive, antioxidant and anti-diabetic potentials. Therefore, the aim of the research was to assess the antidepressant effect of cinnamon on open-space forced swim-induced depression in mice. Twenty-five (25) Swiss albino mice were grouped into five groups (n=5). Group I: control (negative control) exposed to open-space forced swim test (OSFST) without any treatment, Groups II, III and IV received graded doses of Cinnamon 12.5, 25, and 50 mg/kg, group 5 (positive control) received fluoxetine 20 mg/kg orally. The animals were subjected to OSFST, Open Field Test (Line Crossing) and Novel Object Recognition Test (NORT). Administration of cinnamon showed decreased immobility time (behavioural despair) in OSFST compared to control and fluoxetine groups (p < 0.05). However, no statistically significant effect was observed in line crossing (locomotor activity) and the discrimination ratio of NORT (non-spatial short-term memory) between cinnamon administered groups and the control group. In conclusion, cinnamon has shown antidepressant-like effect in open-space forced swim-induced depression in mice.
Keywords: Cinnamon, Depression, Cognitive impairment, Immobility time, Behavioural despair
Brain antioxidant status and gene expressions of nicotinic and dopamine receptors are improved by black seed oil administration in cigarette smoke or nicotine vapour-exposed rats
Authors: Adejare Abdullahi , Oloyo A.K. , Ishola I.O , Busari A.A. , Ismail-Badmus K.B. , Abdulrazaq M.M. , Osifala O.O. , Salami M.O.
Published: February 2024

Background: Smoking is associated with dysregulation of the antioxidant system and addiction.

Aim: This study sought to ascertain the effect of Nigella Sativa (NS) oil on the antioxidant system, nicotine/tobacco addiction as well as the expressions of α4β2 nicotinic (nAChR) and dopamine type-2 (DRD2) receptors in selected brain regions of the rat.

Methods: Thirty male Sprague-Dawley rats were divided into 6 groups comprising of vehicle-treated control, NS oil only, Smoke only, Smoke + NS oil, Nicotine only and Nicotine + NS oil. Animals were passively exposed to cigarette smoke or nicotine vapour for 12 weeks, however, NS oil treatment commenced from 9th-12th week of the experimental duration.

Results: Nicotine vapour and cigarette smoke-induced increase in cotinine level were significantly ameliorated by NS treatment. Cigarette smoke or nicotine vapour exposure significantly (p<0.05) decreased the level of antioxidant enzymes while increasing malondialdehyde level in the brain homogenates of the rats.  Administration of NS oil significantly (p<0.05) reversed the reduced antioxidant level. Cigarette-smoke also significantly increased α4-nAChR expression in the frontal cortex and olfactory bulb compared to control. Nicotine vapour significantly increased DRD2 expression only in the olfactory cortex. NS oil administration reduced both the cigarette-smoke-induced increase in α4-nAChR and nicotine vapour-induced increase in DRD2 gene expression only in the olfactory cortex.

Conclusion: Findings from this study suggest that NS oil improves brain antioxidant status while ameliorating nicotine vapour and cigarette smoke addiction through down-regulation of α4-nAChR and DRD2 gene expressions in discrete brain regions in Sprague-Dawley rats.
Effect of Acute Caffeine Exposure on Blood Glucose and Hepatic Glycogen Content in Normal and Thyroidectomized Male Wistar Rats
Authors: Shittu Shehu-Tijani , Isehunwa Grace O , Alada Abdulrasak Akinola
Published: February 2024

Acute caffeine exposure had been shown to induce hyperglycemia however; the influence of thyroid hormones on the caffeine-induced hyperglycemia is yet to be established. The present study was therefore designed to investigate the effect of caffeine exposure on blood glucose and hepatic glycogen content in thyroidectomized rats. Sixty adult male Wistar rats were randomly divided into 10 groups as I-X (n=6).  Rats in groups I, III, V, VII and IX were given normal saline, caffeine, prazosin + caffeine, propranolol +caffeine, combined prazosin+ propranolol+caffeine injections respectively while rats in groups  II, IV, VI, VIII and X were thyroidectomized  and treated in similar manner as the normal rats respectively. Surgical removal of the thyroid gland was done in the thyroidectomised groups while sham-operation was done in Normal group to serve as control. After healing and following an overnight fast, the rats were anaesthetized and the femoral vein and carotid artery were cannulated for drug administration and blood glucose measurement respectively. After stabilization, following basal measurements, rats from each group were injected normal saline or caffeine (6mg/kg) while another sets were pre-treated prazosin (0.2 mg/kg), propanolol (0.5 mg/kg) or their combination before caffeine administration. Blood glucose was then monitored for 60 minutes post-injection of caffeine at 5 minutes interval. Liver samples were collected at the end of the observation period for glycogen content determination. Caffeine caused significant increased blood glucose levels in both normal and thyroidectomized rats which were up to 210% and 180% respectively at the peak of their responses. Liver glycogen content of the thyroidectomized rats (3.11 ± 0.20 mg/100g tissue weight) was significantly higher than the normal rats (1.91 ± 0.43 mg/100g tissue weight). These glycogen contents were significantly reduced by caffeine in both normal (0.25 ± 0.04 mg/100g tissue weight) and thyroidectomized rats (1.65 ± 0.16 mg/100g tissue weight) when compared with their controls. The caffeine effects on blood glucose and hepatic glycogen content were abolished by pretreatment with propanolol or a combination of prazosin and propanolol in both normal and thyroidectomized rats but pretreatment with prazosin caused only significant reduction in hyperglycemic response to caffeine. The findings of this study suggest that caffeine-induced hyperglycemia in both normal and thyroidectomized rats are mediated through both alpha and beta adrenoceptors
Fatal Femoral Pseudoaneurysm Rupture after Endovascular Intervention: A Case Report and Literature Review
Authors: Ok Taedong , Seo Kwon-Duk , Lee Il Hyung
Published: February 2024

A rupture of a femoral pseudoaneurysm is an extremely rare complication of endovascular procedures, but its outcome can be life-threatening. In this report, we present a case of a femoral pseudoaneursym rupture in a patient in their early 90s following intra-arterial mechanical thrombectomy for acute ischemic stroke. Despite receiving medical and surgical interventions, the patient subsequently developed multiple organ failure, ultimately resulting in death. This case emphasizes the critical role of appropriate selection of vascular closure technique and careful post-procedural monitoring, particularly in high-risk patients.
Review on Water Cooler cum Air Conditioner
Authors: Ram G.Siva Sai
Published: February 2024

This undertaking “WATER COOLER CUM AIR CONDITIONER machine” makes the take a look at of the development of a water cooling system using a everyday air conditioner. The main purpose behind developing this tool is to develop a multifunctional unit which could provide bloodless water at the side of everyday air con cycle. The refrigerant is used as the medium which absorbs and eliminates warmth from the distance to be cooled and in the end rejects that heat elsewhere. This warmness of the refrigerant is used to chill the water, which can be then used for consuming functions. The air cycle is the traditional vapor compression cycle.
Hand Sign Language Recognition and Conversion into Text Using Convolutional Neural Network
Authors:   Zeal College of Engineering and Research, Nanajkar Prof. Jyotsna
Published: February 2024

The current research looks into using convolutional neural networks, also known as CNNs, to develop a hand sign understanding and conversion system. The study addresses the urgent need for a precise and effective way to close the communication gap that exists between the hearing and the deaf communities. The study examines how well CNNs can identify and translate hand sign gestures into text, giving sign language users a real-time means of communication. We use three steps in our methodology: gathering datasets, training models, and thorough assessment. The outcomes show encouraging hand sign recognition accuracy, creating new opportunities for inclusive communication. Sign language is one of the oldest and most natural forms of language for communication, but since most people do not know sign language and interpreters are very difficult to come by, we have come up with a real-time method using neural networks for fingerspelling-based American sign language. In our method, the hand is first passed through a filter and after the filter is applied the hand is passed through a classifier which predicts the class of the hand gestures. Our method provides 95.7 % accuracy for the 26 letters of the alphabet. Keywords-Sign Language, ASL, Hearing disability, Convolutional Neural Network (CNN), Computer Vision, Machine Learning, Gesture recognition, Sign language recognition, Hue Saturation Value algorithm.
The Ethmoid Labyrinth, Point of Entry to Diseases of the Nasal Cavity, Paranasal Sinuses, the Orbit and Skull Base
Authors: Bogataj Jan , Tancer Ivana
Published: February 2024

Abstract: Endoscopic endonasal surgery developed as a logical consequence of more sophisticated knowledge of the pathophysiology of the paranasal sinuses. Also endoscopic treatment of various diseases of the nasal cavity and paranasal sinuses proved to be as effective as clas-sical methods. Ethmoidal bone is a basic anatomic area, where pathologic activities are formed or the natural extension for a minimally invasive approach from the natural nasal opening to the brain, so the knowledge of its anatomy and development is of the para-mount significance. Ethmoid labyrinth starts to develop in the third week of gestation from the pharyngeal apparatus, and reach its full size only at age 12. From a surgical point of view, the most interesting are the medial turbinates, the roof of the nasal cavity, the uncinate process and the bulla ethmoidalis. Through the transethmoidal approach we can access all the cells in the ethmoid sinuses, the frontal sinus, the anterior skull base, the orbital walls and its contents. The awareness that there might be anatomical variations also carries great importance. The central location of the ethmoid bone is actually an in-tersection inside the nasal cavity and the basic component for understanding the anatom-ical relationships and the physiology of the paranasal sinuses. Keywords: ethmoid labyrinth, embryology, anatomy, endoscopic endonasal surgery
Prevalence and Factors associated with Short Interpregnancy Intervals among women attending antenatal care at first level hospitals in lusaka, zambia.
Authors: Ikabongo Imanga , Vwalika Bellington , Lubeya Mwansa K.
Published: February 2024

INTRODUCTION

The Interpregnancy Interval (IPI’s) is defined as the spacing between a live birth and the beginning of the following pregnancy according to the world health organization. Research has shown that short IPI’s are associated with adverse maternal and perinatal outcomes. The IPI therefore offers an opportunity for women to optimize their health status in between pregnancies for better pregnancy outcomes.

AIMS AND OBJECTIVES

This study was aimed at determining the prevalence of short IPI’s and further determining the demographic, sociocultural and health care related factors associated with short IPI’s among women of reproductive age in Lusaka, Zambia.

METHODOLOGY

This was a cross sectional study involving 218 women aged between 15 and 49 years attending antenatal clinics at selected hospitals. Eligible participants were recruited using systematic random sampling method and a structured interviewer administered questionnaire was used to collect the data which was later processed using Epi-Data and exported to STATA for analysis.

RESULTS

The results of this study revealed that the prevalence of short IPI’s was 33.4%. Among the factors associated with short IPI’s, it was noted that women aged 35 years or older were 61% (aOR=0.39;95% CI:0.21-0.98) less likely to have short IPI’s compared to those aged less than 25 years. Furthermore, women from Matero hospital had 4.89 (95% CI; 2.59-11.6) times higher odds of short IPI’s than women from Chawama hospital. In addition, women who reported having discussed the pregnancy with their partners were 59% (aOR=0.41; 95% CI; 0.31-0.96) less likely to have short IPI’s compared to those who did not discuss. For those women who indicated that they did not receive information about recommended IPI’s from health care workers, their odds of short IPI’s were 4.47% (95% CI; 1.57-12.6) times higher than those who received the information.

CONCLUSION

Based on the results of this study, raising awareness among women on the recommended birth intervals and encouraging partner participation on when to have the next child may help in efforts to avert the problem of short IPI’s and its effect on maternal and perinatal outcomes.

KEY WORDS : Short interpregnancy intervals, antenatal care, maternal adverse outcomes, perinatal adverse outcomes
The effect of quality of worklife, work motivation and employee engagement on employee performance
Authors: Fancha Rizka Fathya , Hadiwijaya Dudung , Muttaqijn Muhammad Imam
Published: February 2024

This study aims to analyze the effect of quality of worklife, work motivation and employee engagement on employee performance at PT. Cahaya Engineering Sukses Bekasi used as a case study. This research approach uses quantitative, a total sample obtained as many as 110 respondents with a population of 150. Data collection techniques with observation, documentation and questionnaires with random sampling techniques. Multiple linear regression analysis methods with SPSS programs are used to analyze the data. The results showed  that Quality Of Worklife  had a positive but not significant effect while Work Motivation and Employee Engagement  had a positive and significant effect on Employee Performance with Work Motivation variables  that had a more dominant effect.  Quality Of Worklife, Work Motivation  and Employee Engagement simultaneously have a positive and significant effect on the performance of PT. Cahaya Engineering Sukses Bekasi. This shows that companies should focus more on improving Quality of Worklife and Employee Engagement in order to produce better employee performance.
МОДЕЛЬ ПРОГНОЗИРОВАНИЯ ПОСЛЕОПЕРАЦИОННОГО РИСКА У ПАЦИЕНТОВ С ДИАГНОЗОМ SARS-COV-2
Authors: Орбелян Л.К.
Published: January 2024

Цель исследования – разработка модели прогнозирования послеоперационной летальности на основе выявления факторов риска у пациентов с диагнозом SARS-CoV-2. Материал и методы. Представлен ретроспективный анализ данных 1029 пациентов хирургического профиля, проходивших лечение на базе ГБУЗ ККБ No2 города Краснодара, перепрофилированного под госпиталь для оказания помощи пациентам с коронавирусной инфекцией. Частота неблагоприятного исхода оперативного лечения пациентов с SARS-COV-2 относительно высока и составляет 21,2%, предикторами летального исхода являются пожилой возраст, исходный физический статус, тяжесть и длительность оперативного вмешательства, а также объем поражения легких по данным компьютерной томографии. Разработанная модель позволяет точно прогнозировать неблагоприятный исход
УДК: 616-01/09 DOI:10.55359/2782-3296.2022.69.92.027 ОРГАНИЗАЦИЯ ПОДГОТОВКИ УСОВЕРШЕНСТВОВАНИЯ ВРАЧЕЙ АНЕСТЕЗИОЛОГОВ-РЕАНИМАТОЛОГОВ
Authors: Лебедева Е.А. , Куртасов А.А. , Бычков А.А. , Ващенко В.Г. , Чардаров К.Н. , Белоусова М.Е.
Published: January 2024

В настоящее время всё больше внимания уделяется подготовке специалистов для работы в практическом здравоохранении, так как, не смотря на ведущуюся, на всех уровнях большую работу, в стране всё ещё ощущается дефицит высококвалифицированных врачей-специалистов, в частности, врачей-анестезиологов-реаниматологов. Отмечая сохраняющийся дефицит специалистов анестезиологов-реаниматологов необходимо повышать активность по привлечению врачей в профессию с учетом сохранения преемственности. И обеспечивать высококачественное обучение, что в дальнейшем скажется на качестве оказания помощи в практическом здравоохранении
ОПТИМИЗАЦИЯ ИНТЕНСИВНОЙ ТЕРАПИИ ОСТРОГО ПОВРЕЖДЕНИЯ ПОЧЕК НА ОСНОВЕ НЕФРОПРОТЕКЦИИ
Authors: Шраменко Е.К. , Кузнецова И.В. , Потапов В.В.
Published: January 2024

Цель. Проанализировать эффективность методов индивидуальной нефропротекции у пациентов с ОПП различного генеза. Проведенный многофакторный анализ на основе нейросетевого моделирования показал, что наиболее существенными факторами в благоприятном исходе ОПП (укорочение длительности стадии олигоанурии, снижение летальности, полное восстановление функции почек) являются: проведение ИТ, обеспечивающей нефропротекцию как до поступления в ОИТ, так и в процессе лечения в отделении; а также уточнение причины и варианта ОПП. Раннее уточнение причины и варианта ОПП обеспечивает индивидуальный подход к интенсивной терапии. Проведение как первичной, так и вторичной нефропротекции статистически значимо улучшает результаты лечения больных с ОПП
МЕТОДИЧЕСКИЕ ПОДХОДЫ К ОБУЧЕНИЮ ВОЕННОСЛУЖАЩИХ ПРИЕМАМ ПЕРВОЙ ПОМОЩИ
Authors: Заряева Е.В. , Перевертов С.А.
Published: January 2024

Обучаясь в военном ВУЗе, военнослужащие, должны быть готовы выполнять не только специфические задачи по предназначению, но и в любой момент помочь раненым и пострадавшим – оказать им первую помощь. Для этого учебным планом предусмотрены занятия по медицинской подготовке с курсом тактической медицины. Ее проводят преподаватели – инструкторы по боевой подготовке и тактической медицине. Благодаря формированию на занятиях навыка алертности, военнослужащие способны на фоне внутреннего спокойствия и уверенности в своих действиях мгновенно среагировать на ранение и оказать первую помощь уже в условиях реальных боевых действий. Целью преподавания в военном вузе медицинской подготовки является максимальное приближение учебных ситуаций к боевым и многократное повторение простых манипуляций по спасению жизни в объеме мероприятий первой помощи. С учётом проводимой специальной военной операции и имевшихся проблем в оказании первой помощи, отсутствием нормативных документов по её оказанию, руководством Минобороны России только за второе полугодие 2022 года утверждено три новых нормативно правовых акта, касающихся оказания первой помощи военнослужащими. Резюме. В научной статье проанализированы методические подходы к обучению военнослужащих первой помощи оказанию. Проверены на практике педагогические приёмы симуляционного обучения. Доказаны результаты эффективности при обучении
Expanding the Breadth of Ability in Artificial Intelligence Systems with Decision Trees
Authors: Jr Andrew McInnis , Alshibli Mohammad , Alzaghal Ahmad , Hamada Samir
Published: January 2024

This paper introduces a unique perspective. Rather than focusing on improving the already significant achievements of existing artificial intelligence algorithms, it investigates the potential of merging various algorithms to enhance their overall capabilities. Essential design aspects required for this integration are examined, and a prototype system is developed to demonstrate the practical application of these design principles. This method aims to broaden the range of capabilities accessible to a system, addressing the limitation of the narrow focus prevalent in contemporary artificial intelligence.
La economía de la atención: de la reconfiguración de las relaciones de poder al control social
Authors: Boglione Matías
Published: February 2024

The information surplus generated by the explosion of new information and communication technologies to which society is exposed has led to an unprecedented attention shortage. Technological oligopolies compete with each other with the intention of capturing social attention and keeping users looking at their content for as long as possible. In this context, the use of algorithms and other tools that design personalized instant gratification seems to be directing people's will and intervening in decision-making. Therefore, the purpose of this article is to carry out a bibliographic review and some reflections on the consequences and challenges that the attention economy poses for democracy and collective identities, mainly in relation to social control.
Reception date: 21/09/2023Acceptance date: 16/11/2023
Las ferias urbanas de la Economía Popular: Discusiones en torno a lo legal/ilegal del fenómeno
Authors: Amaya Paula Daniela , Ortiz Sosa Fernando Nicolás
Published: February 2024

This article aims to explain how local governments in Córdoba Province regulated the phenomenon of Popular Economy fairs in public spaces through Municipal Ordinances. As a first point, we made a contextualization of this phenomenon, that is inserted massively today after the breakdown in the formal labour system and the 2001 crisis, to give rise to its relationship with the category of informality and the discussions that exist around it legal / illegal understanding, its legality / illegality. Finally, we analyze at an institutional level the cases of the ordinances of Córdoba capital, Alta Gracia and Rio Cuarto, to account for the tensions that are generated with the stallholders and their work because it is considered an informal labor practice.
Reception date: 19/07/2023Acceptance date: 18/12/2023