bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on solving 0-1 knapsack problem by dynamic programmin
Authors: Gao Zitong
Published: February 2024

The 0-1 Knapsack Problem poses the challenge of maximizing the total value of a subset of items, while respecting a capacity constraint in a knapsack. This paper explores the problems solution and aims to find an optimal solution. The Dynamic Programming approach, based on the principles of optimal substructure and overlapping subproblems, breaks down the problem into smaller, solvable subproblems. The article discusses the key features of Dynamic Programming, including its ability to handle non-linearities and provide a bottom-up approach for optimal substructure. A code implementation showcases the pseudocode, demonstrating the iterative calculation and efficient storage of results. Reviewing the research, the Dynamic Programming is a suitable and powerful tool as the benefits are summarized and listed into less computations, high efficiency and the optimal final result. By leveraging Dynamic Programming, the 0-1 Knapsack Problem can be solved optimally by finding the subset of items that maximizes the value within the capacity constraint.
A review of unmanned aerial vehicle path planning techniques
Authors: Zhang Zhibo
Published: February 2024

The paper offers an exhaustive scholarly review of the algorithms and techniques employed in Unmanned Aerial Vehicle (UAV) path planning, categorizing these methodologies based on spatial dimensions, planning steps, and the nature of planning maps. It provides a critical evaluation of a plethora of algorithms, including random search methods, particle swarm algorithms, genetic algorithms, and A* algorithms, among others. The study elucidates the advantages and limitations of each algorithm, with a particular focus on their efficacy in real-time planning and navigation within complex three-dimensional environments. It underscores that while the domain of pre-flight path planning has reached a level of relative maturity, there exists a conspicuous gap in the literature concerning real-time obstacle avoidance and optimal path planning, particularly when constrained by limited computational resources. The paper thus serves as both a comprehensive review and a call for further research aimed at addressing these identified lacunae to ensure the generation of safe and feasible UAV trajectories.
A comprehensive review of bug algorithms in path planning
Authors: Liu Keming
Published: February 2024

The bug algorithm family is the well-known navigation algorithm for robots in unknown environments. However, different types of bug algorithms have their own priorities and weaknesses based on different environmental conditions. According to the characteristics of the bug navigation algorithms, the bug algorithm family is mainly divided into 4 parts. In this paper, four types of bug algorithms (original bug algorithm, M-line Bug, Angel Bug and Range Bug) are presented along with typical samples of each type. Each type of algorithm will be thoroughly explained and exemplified, highlighting its unique characteristics and the suitable environmental conditions for each algorithm. By presenting the basic logic behind each algorithm and examining the environmental conditions they are best suited for, this paper aims to provide researchers with a comprehensive understanding of the bug algorithm family. Ultimately, this knowledge will contribute to the advancement of navigation capabilities in robots operating in unknown and challenging environments.
Design and analysis of an autonomous warehouse robot system with 6-DOF manipulator
Authors: Pan Qiran
Published: February 2024

With the increasing need for efficiency and accuracy in warehouse operations, the functions and market demands of automated warehouse robots are constantly increasing. This study presents the design, simulation, and implementation of a warehouse robot, showcasing effective automation solution. Leveraging the Robot Operating System (ROS) and Gazebo, a robot with a six-degree-of-freedom robotic arm for diverse manipulation tasks and a differential drive base for broad-spectrum navigation was designed. The simulation environment in Gazebo faithfully replicates real-world warehouse conditions, enabling comprehensive path planning and real-time modifications, powered by move_base. A camera sensor serves as the robot's safety system, designed to detect moving obstacles and initiate appropriate responses, contributing to the enhancement of warehouse safety standards. Simulation results demonstrate the robot's effectiveness in performing pick-and-place tasks while successfully navigating through the environment, indicating the significant potential for real-world warehouse automation applications. Therefore, this work provides a foundation reference for future research aimed at optimizing and expanding the capabilities of autonomous warehouse robots.
Optimization strategy for the pull arm function in the Multi-Armed Bandit algorithm
Authors: Pi Shaozhi
Published: February 2024

Within the domain of Multi-Armed Bandit (MAB) quandaries, the efficacy exhibited by the arm-pulling function stands as a determinant factor governing algorithmic performance. This study undertakes a systematic exploration of enhancing this function's optimization vis--vis the MovieLens dataset, with a specific focus on three prominent MAB algorithms: Upper Confidence Bound (UCB), Explore-Then-Commit (ETC), and Thompson Sampling (TS). The present exposition introduces an innovative methodology tailored to the Python 3.11 computational environment. Central to this approach is the pre-calculation of arm-specific reward frequencies, obviating the necessity for dataset look-up and thereby streamlining the reward selection process. Subsequently, a binomial distribution is fitted to these frequencies, ensuring rapid and accurate reward sampling. When benchmarked, the optimized version of the pull arm function showcased a remarkable reduction in execution time compared to their initial counterparts, all while maintaining algorithmic accuracy. The Thompson Sampling algorithm notably outperformed the others, exhibiting the lowest cumulative regret across diverse trial sizes. This research emphasizes the significance of refining core components in MAB algorithms and paves the way for practical enhancements in real-world applications.
Hyperparameter optimization strategy for Multi-Armed Bandits: Genre recommendation in MovieLens dataset
Authors: Chu Juei-Che
Published: February 2024

Due to the challenge of balancing exploration and exploitation in Multi-Armed Bandits (MAB) problems, it is rather challenging to determine the optimal exploration length for diverse datasets. This paper presents an in-depth investigation of the hyperparameter setting for the Explore-Then-Commit (ETC) algorithm, emphasizing an enforced exploration strategy to guarantee adequate exploration of each arm. This investigation will be realized in the context of movie recommendation systems, specifically utilizing the MovieLens 1M dataset. Two key hyperparameters are scrutinized: the horizon, which sets the overall timeframe of the algorithm's execution, and the number of times each arm is explored. The study systematically varies these parameters to study their influence on cumulative regret, a measure of the opportunity cost each time a non-optimal arm is sampled. The empirical examination of the ETC algorithm, conducted employing the MovieLens 1M dataset, has yielded significant discernments pertaining to the dynamic configuration of exploration lengths tailored to particular datasets. The empirical findings underscore that judicious fine-tuning of the ETC algorithm's hyperparameters, under a defined horizon of 50,000 and an exploration length of 500, engenders commendable competitive performance. This optimized configuration notably excels in the domain of genre recommendations, particularly manifesting enhanced proficiency in suggesting genres characterized by the most elevated average ratings. This research accentuates and reinforces the comprehension of hyperparameters under the exploration and exploitation dilemma, thereby providing a structured pathway for the forthcoming applicability of MAB in the wider realm of recommendation systems.
Review of computer animation technology and its applications
Authors: Wang Yuhan
Published: February 2024

The development of three-dimensional space into four-dimensional space can make film and television more attractive. People complete the thought-provoking creation of video through animation technology, and also enrich and improve the connotation and form of computer animation technology, which has a far-reaching impact on film and television production. This paper analyzes and sorts out the relevant literature on computer animation technology in the fields of film and television. On the basis of summarizing the concept of computer animation technology, this paper explores the application of computer animation technology in television and film and emphatically analyzes the promoting effect of three-dimensional animation technology on the development of film and television, with a view to promoting the development of the film and television industry and film and television works. The results indicate that the application of computer animation technology in film and television production will become increasingly widespread, divided into real-time animation and keyframe animation. Future research will focus on the applicability and precision of animation technology.
Exploring Multi-Armed Bandit algorithms: Performance analysis in dynamic environments
Authors: Li Litao
Published: February 2024

The Multi-armed Bandit algorithm, a proficient solver of the exploration-and-exploitation trade-off predicament, furnishes businesses with a robust tool for resource allocation that predominantly aligns with customer preferences. However, varying Multi-armed Bandit algorithm types exhibit dissimilar performance characteristics based on contextual variations. Hence, a series of experiments is imperative, involving alterations to input values across distinct algorithms. Within this study, three specific algorithms were applied, Explore-then-commit (ETC), Upper Confident Bound (UCB) and its asymptotically optimal variant, and Thompson Sampling (TS), to the extensively utilized MovieLens dataset. This application aimed to gauge their effectiveness comprehensively. The algorithms were translated into executable code, and their performance was visually depicted through multiple figures. Through cumulative regret tracking within defined conditions, algorithmic performance was scrutinized, laying the groundwork for subsequent parameter-based comparisons. A dedicated experimentation framework was devised to evaluate the robustness of each algorithm, involving deliberate parameter adjustments and tailored experiments to elucidate distinct performance nuances. The ensuing graphical depictions distinctly illustrated Thompson Sampling's persistent minimal regrets across most scenarios. UCB algorithms displayed steadfast stability. ETC manifested excellent performance with a low number of runs but escalate significantly along the number of runs growing. It also warranting constraints on exploratory phases to mitigate regrets. This investigation underscores the efficacy of Multi-armed Bandit algorithms while elucidating their nuanced behaviors within diverse contextual contingencies.
Application and existing problems of artificial intelligence technology in the agricultural field
Authors: Niu Muyao
Published: February 2024

In recent years, the application of artificial intelligence technology in the field of agriculture has been rapidly developed. This paper summarizes the application of artificial intelligence in agriculture and divides it into two main directions: monitoring system and expert system. This paper analyzes the soil monitoring, pest monitoring, and plant growth detection of the monitoring system, the simple decision chain of the expert system, and the complex expert system combined with artificial intelligence technology. Utilizing sensor networks, image processing, and machine learning techniques, artificial intelligence enables real-time monitoring of soil parameters, automatic identification of pest and disease, analysis of plant growth status, and provision of tailored management recommendations. By employing rule-based expert systems, artificial intelligence assists farmers in making informed decisions. These applications have significantly advanced resource management optimization, pest control, precise growth monitoring, and intelligent decision-making in agriculture. At the end of the article, this paper summarizes the full text and looks forward to the future trend.
Control of an intelligent car based on OpenMV perception
Authors: Ye Ziqin , Zhang Haohan , Wang Zixiang , Chen Qiuhan
Published: February 2024

This project presents an intelligent car system based on machine vision, which enables the car to perform a series of tasks through visual perception. The project utilizes an OpenMV camera and an Arduino microcontroller board, where the OpenMV camera captures and preprocesses images, and the processed data is then transmitted to the Arduino for further processing and recognition. In addition, the project incorporates the GoogleNet network for training and classifying the preprocessed images. The network is used to recognize common objects, and the model is optimized and tested accordingly. The results demonstrate a high accuracy in image recognition, making it applicable to visual perception in vehicles.
Design and simulation implementation of SPI protocol interface based on Verilog
Authors: Jiang Bo , Wang Siqi , Zhang Shuqi
Published: February 2024

The SPI bus protocol can communicate with multiple peripherals without address bits. The transmission speed is fast and the configuration is simple and flexible, which solves the problem of serial communication between microprocessors and peripherals. In order to simply realize the function of the SPI bus and verify its stability, the SPI bus is designed and simulated verified using Verilog language and Modelsim software. The results show that the design realizes the full-dus-duserial synchronous communication function of SPI bus, with high data transmission stability and a data transmission speed of more than 2Mb/s. At the same time, during the test, it is found that the serial communication protocol can continue to be improved in terms of reliability, stability, and efficiency. Under the current social needs, the security of serial communication protocols is also put forward higher requirements and needs to be further adapted to the needs of the Internet of Things.
Research on user response in virtual reality environment based on visualization and clustering
Authors: Gao Long
Published: February 2024

As the feasibility of virtual reality (VR) therapies is gradually being validated, understanding users' physiological and emotional responses to different VR environments is crucial for optimizing VR experiences and improving user engagement. This study aims to introduce machine learning models to analyze user responses to VR environments and identify user groups with similar physiological and emotional characteristics. This study employs visualization tools and clustering models to explore the role of various factors in shaping user experience. K-Means modeling helps the research team understand users' physiological and emotional responses to VR environments. The Principal Component Analysis (PCA) dimensionality reduction algorithm makes the model visualization easier to understand and implement. This study is conducted on a virtual reality experience dataset and produced many nuanced users experience results. The results of the experiments show that there is an apparent disparity in the experience of VR among users of different age groups. It also shows that different user groups have different levels of suitability for VR. Targeted improvements to VR can provide suggestions for people with different needs. This study has significant implications for analyzing and understanding the emotional responses and preferences of VR users and driving the personalization of VR products.
Real time object tracking using deep learning and OpenCV
Authors: Jin ZhiHao , Yang Huanqing
Published: February 2024

This article summarizes the background and application fields of Open-Source Computer Vision Library (OpenCV) and deep learning and conducts research based on their object detection and tracking applications. The model algorithm selected in this article is the Convolutional Neural Networks (CNN) algorithm. CNN algorithm can be used for object detection in real-time scenarios. Moreover, the CNN algorithm has good credibility. The Python program developed based on CNN algorithm can effectively achieve real-time object tracking. The model shows good detection and tracking performance for trained targets and can be further applied in more specific scenarios in the future. Because deep learning can process large-scale data and recognize complex patterns, it can automatically learn and extract advanced features. Combining the two can achieve faster and more accurate detection and tracking of target objects. After having a large enough training sample size, it can detect and track the specified object more accurately. However, it is precisely due to the enormous sample size required for deep learning that there are still some difficulties in applying it to real-time object tracking. This article first discusses the use of supervised learning methods for deep understanding. When the input sample capacity is large enough, the machine can better reflect the real-time detection and tracking of the target object. But the time required will significantly increase. This issue still needs to be addressed in the subsequent research process.
GREEN PRODUCT PLACEMENT IN TV SERIES: AN EVALUATION ON CONSUMER ATTITUDE AND PURCHASE INTENTION
Authors: Arıcı Tuğçe , Çınar Dilaysu
Published: February 2024

Purpose: The main purpose of this study is to measure the effect of green product placement strategy on consumer attitude and consumer purchase intention. In addition, the study examined whether attitudes towards green product placement and intention to purchase green products vary according to demographic variables. Material and Method: This study was conducted in Istanbul, Turkey and the main population of the research consists of consumers who are 18 years old and over and watch television series. The sample size was determined to be 402 participants since it would not be possible to reach all participants in the universe in generalizing the analysis result. The data obtained was analyzed with PLS and SPSS programs. In order to test hypotheses; frequency analysis, validity analysis, reliability analysis and confirmatory factor analysis were performed. Findings: As a result of the research, it was concluded that the reality and response to advertising dimensions had a statistically positive effect on the intention to purchase green products. In addition, it was concluded that the consumer attitude variable towards green product placement and the intention to purchase green products differ according to gender. Result: In order to develop a positive attitude towards green products and increase the purchasing tendency towards such products, it would be appropriate for practitioners to focus on realism in product placement strategies, avoid creating a perception of commercial advertising, and increase environmental awareness. Generalization of the subject study would be possible in future studies if comparisons of green product placements in different communication channels are taken in consideration
Effect of Psychological Contract on Employee Turnover Intention: Moderating Role of Select Demographic Variables
Authors: Sharma Neha , Kaur Sandeep
Published: February 2024

Since the inception and the spread of COVID-19 from March 2020 in India, companies have experienced a rapid increase in the rate of unemployment as well as employee turnover intention. However, though employer appears to have additional power due to high unemployment levels, but it’s also been balanced by employees having new and more alternatives over whom they get employed due to extensive adoption of remote working by all the companies. Employees are highly satisfied at the workplace, prone to get retained with the organization, develop faith in the organizational system only if there is fulfillment of their psychological contract; employer’s showing concern for employees. This study aims to examine the relationship between psychological contract and employee turnover intention for the employees working in general insurance companies in India. The study further explores the moderating effect of select demographic variables for the relationship between psychological contract and employee turnover intention. These demographic variables are considered as independent groups and their moderation effect relationship between Psychological Contract and Employee Turnover Intention is tested with the help of SMART PLS software. The findings are insightful and will pave the way for the insurance companies to retain the employees by reducing their employee turnover intention and focusing on fulfillment of psychological contract.
Immunohistochemical and morphological changes associated with hepatic damage in lead acetate-induced toxicity and mitigatory properties of naringin in cockerel chicks
Authors: Esan Oluwaseun , Ajibade T. O. , Ebirim Chinomso Gift , Adetona Moses Olusola , Oyagbemi Ademola Adetokunbo , Omobowale Temidayo Olutayo , Oladele Omolade Abodunrin , Adedapo Adeolu Alex , Oguntibeju Oluwafemi , Yakubu Momoh Audu , Nwulia Evaristus
Published: February 2024

Lead (Pb) toxicity constitutes a major health hazard to both humans and animals especially in the developing countries. It is a ubiquitous environmental contaminant found in the air essentially because of unregulated mining and other industrial activities. Lead can be found naturally in the soil thus, contaminating crops for human and animal food, as well as run-off water and air pollution. Intensively and extensively reared domestic chickens are exposed to contamination via inhalation and ingestion of contaminated food materials. Naringin, a product from citrus plant has been described to possess excellent metal chelating ability. Naringin is rich in flavonoid with attendant antioxidant, anti-autophagy, anti-inflammatory, hepatoprotective and cardio-nephroprotective properties. This study was conducted to investigate the hepatoprotective and modulation of oxidative stress in commercial cockerel chickens by Naringin. Thirty-six commercial cockerel chickens were randomly assigned into six groups A-F of six birds each viz: Group A served as control group while groups B, C, and D received Lead acetate at 300 ppm via drinking water continuously till the end of the experiment. In addition, groups C and D were treated with Naringin at 80 mg/kg and 160mg/kg, respectively, via oral gavage for 8 weeks. Groups E and F were administered naringin only at 80mg/kg and 160mg/kg respectively for eight weeks. Pb toxicity induced degenerative changes in the histological sections as well as, higher expression of hepatic caspase 3 as shown by immunohistochemistry. There was increased oxidative stress markers (H2O2, MDA) and depletion of the antioxidant defense system markers SOD, GPx, GSH, and GST. It concluded that Co- treatment with Naringin ameliorated oxidative stress, enhanced antioxidant defense system, reduced the expression of hepatic caspase 3 thus, offering protection against lead acetate-induced derangements in the liver of commercial cockerel chickens
Low-dose Potassium bromate enhances ischemia-reperfusion-induced gastric ulcer healing in Thyroidectomised Rats
Authors: Salami Adeola Temitope , Chukwukaeme Chidinma , Olagoke Olawande , Olaleye Samuel Babafemi
Published: February 2024

Gastric ulcer healing is impaired in both hypothyroid and hyperthyroid conditions.  Thyroid hormones regulate growth, energy metabolism and mitochondrial oxidative metabolism. Xenobiotics have been documented to negatively impact the thyroid gland at high doses but the redox and cellular interactions at low doses during wound healing process remains unclear. Potassium bromate has been documented to be toxic at high doses but there is dearth of information on its activities at a low dose in varied thyroid states which was evaluated in this study. 60 male Wistar rats (g, n=10) were randomised into 2 conditions: Normal, ulcerated untreated, ulcerated treated with 12.5mg/kg p.o KBrO3 and thyroidectomised groups: thyroidectomised ulcerated, thyroidectomised ulcer treated with KBrO3 and thyroidectomised treated with thyroxine (100µg/kg) Total thyroidectomy was used to model hypothyroidism, and ischaemia-reperfusion-induced gastric ulcers were monitored for healing. Daily body weights, Levels of thyroxine, Gastric mucin content, redox and sodium pump activity were examined alongside other markers of hepatic and haematological toxicity by days 3 and 7 post ulceration. Data were analysed using descriptive statistics and ANOVA α 0.05. The bromate-exposed hypothyroid rats showed increased gastric ulcer healing potential with reduced gastric epithelial oedema and inflammation; hepatic steatosis, and periportal inflammation. Haematological variables and markers of hepatic functions were normal. There were reduced levels of gastric and hepatic malondialdehyde levels. Thyroxine and potassium bromate treatment resolved the redox and cellular toxicity possibly via increasing catalase and sulfhydryl levels and increased Na+ K+ pump activity. We conclude that potassium bromate enhanced gastric ulcer healing in hypothyroid state, similar to thyroxine treatment.
SOLVE THE TRANSPORTATION PROBLEM OF TRAPEZOIDAL FUZZY NUMBERS USING RUSSELL’S APPROXIMATION METHOD
Authors:   A.V.C.College(Autonomous), Mannampandal – 609305, MOHANA N , DHILSONA B ,   A.V.C.College(Autonomous), Mannampandal – 609305
Published: February 2024

Fuzzy set theory has been applied in many fields such as management, engineering, theory of matrices and so on. In this paper, some elementary operations on proposed trapezoidal fuzzy numbers (TrFNs) are defined and also have been defined some operations on trapezoidal fuzzy matrices(TrFMs).Using Russell’s approximation method to solve the Fuzzy transportation problem of Trapezoidal Fuzzy numbers.
Ultra-Scale Down Models: A Review
Authors:   Department of Biotechnology, RV College of Engineering, Bangalore, India, B Dr Trilokchandran
Published: February 2024

Ultra scale-down (USD) models have emerged as indispensable tools, addressing challenges in process development and optimization. This review delves into the transformative potential of Ultra Scale-Down (USD) models, exploring their applications, benefits, limitations, and future directions. As industries deal with more complicated manufacturing processes, the integration of USD models into development pipelines becomes crucial. This approach holds the potential to reduce timeframes, cut costs, and enhance the overall efficiency of various processes, contributing to advancements across diverse fields. Envision transforming intricate manufacturing not through colossal machinery but by harnessing the capabilities of tiny vials and microfluidic chips. This encapsulates the essence of ultra scale-down (USD), an innovative approach that downsizes the landscape of process development. Essentially, USD duplicates pivotal elements of large-scale processes on a considerably smaller scale, typically employing milliliter-sized volumes. While USD is still advancing, and its potential to transform process development is evident. Embracing miniaturization, researchers and engineers unleash efficiency, cut costs, and hasten the launch of innovative products. Keywords: Ultra Scale-Down (USD) models, Downstream processing, Cell-based therapies, Early-stage optimization, Real-time applications, Personalized medicine
Revolutionising Conventional Marketing with AI: Leveraging Machine Learning for Marketing
Authors:   Applied AI Engineer, Ramnani Shweta
Published: February 2024

Amidst an age characterized by rapid technological progress, this research paper investigates the revolutionary capacity of artificial intelligence (AI) and machine learning (ML) to alter traditional marketing methodologies fundamentally. In order to address the drawbacks of conventional marketing methods, this article develops a theoretical framework that emphasizes the critical importance of machine learning algorithms, such as supervised, unsupervised, and reinforcement learning, and AI customer relationship management (ACRM). The research explores pragmatic approaches, including meta-analysis, case studies, and A/B testing, to demonstrate how artificial intelligence (AI) can generate concrete outcomes and confer a competitive advantage. The paper provides an overview of several emerging trends, including Explainable AI (XAI), Edge AI, Fog Computing, Neuromorphic Computing, and Generative AI. It highlights their potential impact on the success of businesses. By means of perceptive case studies involving notable companies such as Spotify, Sephora, and Netflix, the article illustrates how ML and AI strategies have been customized to improve customer retention and develop efficacious marketing approaches. Among the methodologies that are deliberated upon are hyper-targeting and AI-powered segmentation employing LSTMs and dynamic learning. Moreover, the study investigates novel methodologies and their benefits for enhancing user involvement, including the integration of chatbots, Conversational AI, Augmented Reality (AR), Virtual Reality (VR), and attribution models tailored for multi-touch marketing initiatives. By incorporating these sophisticated methodologies, organizations can not only adjust to the ever-changing marketing environment but also generate customized and influential consumer encounters. This paper functions as an all-encompassing manual for marketing practitioners, researchers, and enterprises aiming to exploit the complete capabilities of AI and ML in order to drive their marketing endeavors to an unparalleled level of achievement.
Comparing social media use in school management: experiences from Ukraine and the United States
Authors: Kartashova Liubov A. , Prykhodkina Nataliia O. , Makhynia Tetiana A. , Tymoshko Hanna M. , Sholokh Olena A.
Published: February 2024

This paper analyses and compares the use of social media in school management in Ukraine and the United States. It examines the types of social media used, purposes for use, and challenges faced. Key findings show that Facebook, YouTube, Instagram and X are most popular in both countries. Social media communicates with stakeholders, showcases school activities, and builds relationships. Challenges include data privacy, digital literacy, and misinformation. The paper reviews training programs in both countries to improve social media competency for school leaders. It concludes that social media has become an essential communications tool in education, accelerated by the pandemic's impacts.
Comparison of Effects of Interactive Health Education and Self-Reading Learning on Blood Pressure Control in Hypertensive Patients: A Non-Randomised Controlled Trial
Authors: Rangla James  , Shantibala Konjengbam  , Soubam Christina
Published: February 2024

Context/Background: Hypertension is a major contributor to cardiovascular mortality and morbidity worldwide and in India. Educational interventions can create opportunities for patients to better understand their conditions and the role of therapies, as well as heighten awareness about disease progression and complications. This study was conducted to evaluate the effectiveness of an interactive health education program in comparison with self-reading learning on blood pressure control.
Methodology: This study was a non-randomised controlled trial, involving 66 hypertensive patients from the eight villages in Kamjong district, Manipur. Participants were allocated to one of the two groups; intervention group (interactive health education) and control group (self-reading learning). Changes in blood pressure, Hypertension-related knowledge, attitude, lifestyle, adherence to medications and anthropometric parameters at three months post intervention from baseline were measured. Data was analysed using SPSS for Windows (Version 26.0).
Results: Three months post intervention, intervention group had more knowledge and adherence and better attitude as compared to the control. There was no significant change in the proportion of participants with controlled blood pressure in both the groups. Changes in lifestyle and anthropometric parameters were not significant.
Conclusions: Interactive health education is effective in terms of improvement in knowledge about hypertension, adherence to medication and attitude towards hypertension. A longer follow up might be needed to see changes in blood pressure control.
Risk Factor of Paediatric Community-Acquired Pneumonia in Wajo Regency, Indonesia
Authors: Khaidir Fadli Umar  , Nur Nasry Noor  , Ida Leida Maria  , M Nadjib Bustan  , M Tahir Abdullah  , Ridwan M Thaha
Published: February 2024

Background: Pneumonia is the second highest cause of under-five mortality in Indonesia. This study aimed to analyse the risk factors for pneumonia among under-fives in Wajo Regency.
Methodology: This type of research was a quantitative study using a case-control study design. The population was all children in the working areas of Salewangeng Health Centre, Penrang Health Centre, and Belawa Health Centre. The sample size was 224 children consisting of 112 cases and 112 controls. The odds ratio test and logistic regression were used to evaluate the data.
Results: Risk factors associated with pneumonia were under-five nutritional status (OR=3.563; 95%CI=1.57-8.65; p=0.0008), indoor smoke exposure (OR=5.852; 95%CI=2.88-12.36; p=0.000), maternal age (OR=2.575; 95%CI=1.45-4.58; p=0.0005), and number of children in the family (OR=3.133; 95%CI=1.65-6.05; p=0.0002).
Conclusions: The most influential risk factor for under-five pneumonia was indoor smoke exposure. The probability of pneumonia among under-fives who were exposed to indoor smoke, had a maternal age 30 years, and had poor nutritional status was 89.8%. It is recommended for the community to reduce smoking activities in the house and reduce the use of mosquito coils to prevent smoke exposure to children at home.
JUDGEMENT, LEGAL ATTEMPT AND EXECUTION OF CRIMINAL LAW IN INDONESIA
Authors: Habibi Miftachur R
Published: February 2024

The judge's decision must be considered correct until there is a higher decision thatannuls it. The judge's decision must be based on the principles of real justice notmere procedural justice. the judge's decision must be based on the applicable laws and regulations. Sentencing, legal remedies and execution of criminal decisions have been stipulated in the Criminal Code (KUHP). In the implementation of execution against the defendant, supervision is carried out by the judge. This is to ensure that theimplementation is in accordance with the verdict and is carried out properly.
Study of the Effect of Plavix on Micronuclei in Albino Mice
Authors: Ali Alazzawi Nagham Mutaab
Published: February 2024

The advanced basic science of toxicogenomics is a branch of toxicogenetics, aimed at self-engaging acoustic factor activation of advanced components of customized systems. The PCES micronuclei test provides a rapid and accurate way to detect the genotoxicity of chemical compounds that cause a clastogenic or anogenic effect, and it is also of statistically significant value because it can register a much larger number of cells compared to the metaphase chromosome analysis test. Except that he is The other cannot detect microscopic lesions in the cells' DNA. Adopting the technique of estimating micronuclei in exfoliated epithelial cells in prior monitoring of the occurrence of tumors Cancer and treatment response monitoring programmes. 2 Adopting micronuclei technology in expanded programs to screen chronic disease groups for toxicological agents Genetic.
Evaluation of Radiological Health Hazard Indices Arising from Diagnostic X-Ray Rooms
Authors: Ipuole Ogbor Godwin , Molua Jessica Chukwuyem
Published: February 2024

The effective dose of selected health care workers who are constantly exposed to X-ray radiation was measured using thermoluminescence dosimeters (TLD) placed over the lead apron at the chest region in all categories of medical personnel investigated. The objective is to conduct radiation measurements in various chosen hospitals to determine the level of exposure from X-ray machines precisely at a distance of 1 meter from the primary source. The work was carried out within a year in each of the selected centers. The personnel examination records containing the type of examination each day, peak tube voltage, tube current, and exposure time, including the actual number of films used, were obtained. A total of 40 personnel were examined in the Government Hospital, Agbor, 21 in Central Hospital Owa Alero and 18 in Okonye Hospital. The method used here has also been used by other researchers. Findings showed that the results obtained from the three hospitals investigated in this work were found to conform with the recommendations of the National Commission on Radiological and Protection {NCRP} 70 and 116 protocols. The Radiologists in the three study areas have the highest dose level, but of particular note is the dosage of the radiologists in Okonye hospital. This, as observed, is because the protective shielding parameters were inadequate and this could result in severe health consequences over time.
Ambivalence of Female Power and Prostitution in Nawal El Saadawi’s Woman at Point Zero
Authors: Ohia Dr. Ben-Fred
Published: February 2024

Several factors in contemporary society have made diverse demands of women. The demands have necessitated the search of options so as to lope with the challenges and pressures of modern life. This study identifies that most studies of the status of women usually focus on the oppression, stereotyping, and dehumanisation of women in patriarchal society only. However, this paper examined how the female in Nawal El Saadawi’s Woman at Point Zero transcended the limit, exhibiting qualities that are perceived to be those of the male and in addition recognises that many women identify prostitution as a survival strategy; the reality of using what they have to obtain what they need. This creates ambivalence in their nature. This study on one hand projects the weakness of women in prostitution and on the other fills the critical gap by showing how the stereotype of the weaker sex is broken by women in the novel. The paper adopts feminism as a theoretical framework to explore the ambivalence of the female power and prostitution. Deploying the qualitative method of analysis and the eco-critical method, the study explains the ambivalence of womanhood in the novel. The women’s strength is visualised by their becoming a voice, sexually active, economically and independently successful, fearless, defending themselves from their oppressors, and consequently asserting their womanhood. The woman’s weakness is viewed in their indulgence in prostitution for economic empowerment. The paper concludes that patriarchal forces push the women into prostitution but when the oppressed (women) are pushed to the wall, they have no other option but to revolt. Consequently, the radicalism in the novels is not only aimed at challenging patriarchal agents but to also raise the consciousness that women should be treated fairly and given equal opportunities.
Een nationale strafbaarstelling van ecocide: een vreemde eend in de strafrechtelijke bijt?
Authors: Floris E.L.
Published: February 2024

Een nationale strafbaarstelling van ecocide: een vreemde eend in de strafrechtelijke bijt?

Begin juli 2023 heeft Kamerlid Van Raan het wetsvoorstel Wet strafbaarstelling ecocide ingediend, om zodoende ecocide onder een eigen titel in het commune Wetboek van Strafrecht strafbaar te stellen. In deze bijdrage wordt verkend in hoeverre de plaatsingskeuze van de initiatiefnemer voor een ecocidebepaling in het commune Wetboek van Strafrecht voor de hand ligt, en of gezien de specialistische aard van milieubepalingen voor de voorgenomen ecocidebepaling niet meer plaats is in het bijzonder strafrecht, in het bijzonder de WED. Dit wordt gedaan door de voorgestelde bepaling te analyseren aan de hand van uit de literatuur geïdentificeerde karakteristieken van het bijzonder strafrecht.
UNDERSTANDING PRAGMATIC ANALYSIS IN LINGUISTICS: UNRAVELING THE INTRICACIES OF CONTEXTUAL COMMUNICATION
Authors:   Lecturer, Department of ForeignLanguages, Tashkent State University of Law, Republic of Uzbekistan, Ruzibaeva Nigorakhon R.
Published: February 2024

This scientific article explores the significance of pragmatic analysis in the field of linguistics. Pragmatics, as a subfield, plays a crucial role in understanding language beyond its structural components, focusing on context, intention, and communicative effectiveness. This article delves into the theoretical foundations of pragmatic analysis, its key concepts, and its applications in linguistic research. Through an extensive literature review, we examine seminal works and recent developments in pragmatic analysis. The main body of the article presents case studies and examples that illustrate the practical implementation of pragmatic analysis in various linguistic contexts. The discussion section critically evaluates the strengths and limitations of pragmatic analysis, considering its interdisciplinary nature and potential areas for future research. The conclusion summarizes the key findings and emphasizes the ongoing relevance and importance of pragmatic analysis in advancing our understanding of language and communication.
Lymphocytic Hypophysitis in a Pregnant Woman: A Case Report
Authors:   Department of Endocrinology, Diabetology, Metabolic Diseases and Nutrition Cadi Ayyad University, Mohammed VI University Hospital, Marrakech, Morocco, Si Ali Zineb Ait
Published: February 2024

Introduction: Lymphocytic hypophysitis was first reported in 1962, it is a rare immune-mediated inflammatory disorder that causes pituitary dysfunction. Case report: We report the case of 29-year-old woman at 37 weeks gestation, diagnosed with lymphocytic hypophysitis. The patient received appropriate hormonal replacement treatments. The evolution was favorable. Conclusions: Lymphocytic hypophysitis is a rare auto-immune disease, occurring mainly in women during the peripartum phase. Clinical presentation is variable, it should be considered in female pregnant patients or in the early postpartum period, with pituitary hypertrophy and/or hormonal deficiencies with diabetes insipidus. To date, the management of this disease is challenging. Prospective controlled studies are necessary but difficult to conduct due to the rarity of lymphocytic hypophysitis.
Extensive Chest Wall Metastasis Revealing Follicular Thyroid Carcinoma
Authors:   Department of Endocrinology, Diabetology, Metabolic Diseases and Nutrition Cadi Ayyad University, Mohammed VI University Hospital, Marrakech, Morocco, Si Ali Zineb Ait
Published: February 2024

Introduction: Chest wall tumors are a heterogeneous group of rare lesions, arising from any soft tissue or bony structure in the thoracic cavity. They may present as primary or metastatic tumors. Metastatic chest wall tumor from a primary thyroid carcinoma is extremely rare. Case report: We report a challenging case of a 69 years-old female patient, with a follicular thyroid carcinoma revealed by chest wall tumor measuring 81 x 64 x 64 cm. The patient underwent a biopsy of the chest wall mass concluding to thyroid tumoral origin, then she had a total thyroidectomy and lymph node dissection. A tumorectomy of the chest wall lesion is planned before RAI therapy. Conclusions: The case of a metastatic lesion originating from a primary thyroid carcinoma not previously known is one manifestation of the condition defined as occult thyroid carcinoma. Metastatic follicular thyroid cancer has poor prognosis, especially when metastases are the first manifestation revealing the diagnosis, which is a sign of advanced disease stage with limited chances of achieving remission.
The Influence of Competence, Business Motivation and Entrepreneurial Spirit on Business Success in Ciawi District, Bogor Regency (Case Study of Snack Food MSMEs)
Authors:   Faculty of Economics, Djuanda University, Bogor, Harini Sri , Yuningsih Erni ,   Faculty of Economics, Djuanda University, Bogor, Latipah Ipat ,   Faculty of Economics, Djuanda University, Bogor
Published: February 2024

The development of snack food MSMEs in Ciawi District does not always run smoothly, many obstacles and constraints are encountered. Some of the obstacles include low quality human resources, limited business capital, marketing difficulties, management and technology limitations which will have an impact on the success of the business achieved.Business success is a goal that every business actor wants to achieve. Success in developing a business is based on entrepreneurs who have competence, business motivation and a good entrepreneurial spirit. An entrepreneur is a person who has a high capacity for knowledge and skills, has the motivation to continue to develop and has innovative ideas so that he is able to compete with the times.This research aims to determine the influence of competence, business motivation and entrepreneurial spirit on business success in Ciawi District, Bogor Regency (case study of snack food MSMEs). The population in this study were snack business actors in Ciawi District consisting of 50 respondents, sampling using a saturated sampling technique. Data analysis uses multiple linear regression. The research results show that competence has a positive and significant effect on business success, business motivation has a positive and significant effect on business success and entrepreneurial spirit has a positive and significant effect on business success. Simultaneously, competence, business motivation and entrepreneurial spirit have a positive and significant effect on business success. The most dominant variable influencing business success is the competency variable.
The effects of copper on the mechanical properties of Ti-10Mo alloy prepared by powder metallurgy method
Authors: KHARISMA Aji Abdillah , RUDIANTO Haris , MUTIARA Achmad Benny , PUSPITODJATI Sulistyo , LATIEF Fahamsyah Hamdan , WISMOGROHO Agus Sukarto , WIDAYATNO Wahyu Bambang , ARYANTO Didik , FIRDHARINI Cherly
Published: February 2024

Titanium alloys are currently widely explored and produced for applications in various engineering fields. Alloying metal elements such as Mo, Cu, and Mn bring more advantages among them to help improve the mechanical properties of titanium alloys. This study is intended for the evaluation of mechanical properties through compression and hardness testing performed on a Ti-10Mo alloy with copper addition by powder metallurgy. Ti-10Mo alloys with the addition of copper contents of 3 wt% Cu, 6 wt% Cu, and 9 wt% Cu were prepared to optimize the properties of Ti-10Mo-xCu alloys. With the addition of 3 wt% copper, the compressive strength increased to 577 MPa, which is the maximum compressive strength in this study. On the other hand, with 6 wt% and 9 wt% Cu addition, the compressive strength became 140 MPa and 201 MPa, respectively. A Ti-10Mo alloy with a 3 wt% copper content was able to achieve the maximum hardness of 576 HV. In short, the addition of 3 wt% copper successfully increased the compressive strength as well as the hardness of the prepared titanium alloys.