bluuebunny/crossref_metadata_2025 huggingface dataset:
DQN–MADDPG Coordinating the Multi-agent Cooperation
Authors: Chen Zhisheng
Published: April 2023

Multi-agent coordinating aims for many agents to finish the same or more mutual goals. To achieve this function, there are two main ideas; the first is making multi-agents communicate with each other and acquire the information for other agents. Another is sharing the same environment, dividing the work, and cooperating to achieve the goal. ‘’Gym-cooking’’ is an excellent model to test the algorithms’ performance in network coordination and game theory; this is a sharing environment. Based on sharing information, the agent have two networks(policy and target) and tries to do something more efficiently. This article will increase the complexity of the environment and use different algorithms to process the experiment. Specially, this paper will use the MADDPG model as the primary model to show its performance in a complex environment and contrast other models like DQN. The MADDPG model in this experiment is unlike the traditional MADDPG; the work trains the MADDPG network to deal with emergencies and accidents.
Review on Data Mining and Data Analysis Method for Adolescent Suicide Problem
Authors: Wang Zizhan
Published: April 2023

This paper suggested that both positive and negative family factors can impact adolescent suicide rates. Supportive relationships with parents, siblings, and other family members can provide a sense of belonging, connection, and emotional support that can help to protect adolescents from suicidal thoughts and behaviors. Studies have found that adolescents who are exposed to these types of adverse family experiences are more likely to experience depression, anxiety, and other mental health problems, which can increase their risk of suicide. The research presented in this article suggests that family environment continues to be one of the most important factors influencing adolescent suicide rates, with the two groups most at risk for suicide having much higher levels of exposure to domestic violence and substance abuse. No significant changes were found in age, academic achievement, race, or family structure. This suggests that the most influential determinants of adolescent suicide rates are family environment, followed by gender and prior exposure to suicide. The purpose of this literature review on adolescent suicide is to provide a comprehensive overview of existing research on the influence of relationships and family on adolescent suicide rates, highlight key findings and identify areas for further research.
Fine-grained Retail Goods Recognition based on Deep Learning
Authors: Zhang Jinghuang
Published: April 2023

Nowadays, much effort has been devoted to image recognition technology, while the application of image recognition technology to the self-service checkout system of retail goods is still a subject with little research and great application value. For the problems of low efficiency and high cost of manual checkout in supermarkets, this study proposes to apply deep learning to commodity picture recognition. Due to the small difference between classes and the large difference within classes of commodity images, commodity image recognition is modeled as a fine-grained commodity image classification task, and the NTS-Net model is used to classify commodity images. The algorithm automatically extracts the partial features of commodity images and classifies them by combining partial features with the features of the whole commodity images. Training is conducted in a self-built commodity dataset, and tests the recognition effect of the model on commodity images from different angles and environments. This study show that the algorithm can effectively and accurately identify commodities, and the model has a good performance in identifying the side of commodities and the pictures of commodities with low brightness.
Studies Advanced in Mask Face Recognition based on Deep Learning
Authors: He Muheng
Published: April 2023

In the era of epidemic, wearing a mask when going out has become a more common phenomenon. And how to complete face recognition and guarantee certain accuracy without letting users take off their masks has been a challenge in recently years’ face recognition field. In this paper, the traditional masked face recognition method and the new MTCNN deep learning masked face recognition method are compared and analyzed, and other similar masked experiments are introduced as data references. It is synthetically found that the accuracy of MTCNN masked face recognition using CASIA-FaceV5 as dataset is more than 90%, which is far better than other traditional recognition methods, but its requirement for dataset image quality is high, and the training time is long and costly. We hope that the process analysis and result comparison of different methods in this paper can shed light on the future development of masked face recognition technology.
Effect Analysis based on GAN and CGAN Comparison
Authors: Hao Xinyao
Published: April 2023

Image generation has traditionally been. a popular research direction in the vision community of computer, which aims to learn the distribution of a given data set, to generate realistic images obeying this distribution. Owing to the rapid growth of networks of convolutional neurons, image generation which is based on deep learning has made breakthroughs in both accuracy and speed. For different scenarios, however, the results of the same generation algorithm may differ dramatically. In order to probe the application limitations of various algorithms, in this paper, taking the Minst data set as the research object, we choose two representative generation algorithms, GAN and CGAN, to construct models and analyze their generation effects. We initially present the basic models of GAN and CGAN, which include their structures and differences, respectively. By comparing the GAN and CGAN models, we can see that the randomness of generated images is greatly decreased with the extra controls. Finally, the paper analyzes the effect of CGAN handwritten image generation, and different numbers have different effects under the same epoch.
The Prediction of Heart Failure based on Four Machine Learning Algorithms
Authors: Zeng Ming
Published: April 2023

The main purpose of this study is to observe the correlations between clinical features (input) with heart disease (output) in the practice of machine learning and modeling. Primarily, this research conducts a data exploration of the attributes and the output to observe the relationships between the attributes and heart disease. The experiment method covers the Decision Tree, K-Nearest Neighbor, Support Vector Machine and Extreme Gradient Boosting algorithms after the data exploration. This research concludes that exercise-induced angina and ST depression are two factors that are highly related to heart disease. Older males should take more care of these features because they are more likely to have heart disease. Moreover, based on the output of four algorithms, the SVM is the best method for predicting the probability of the occurrence of heart disease since SVM output the highest values on the accuracy, recall rate, and f1-score.
Solutions to light pollution based on Principles of spectroscopy and normal distribution
Authors: Zhou Wei , Zhang Yuqian , Wang Xin , Gong Kaikang
Published: April 2023

In order to study the main ways of light pollution and factors affecting light pollution, this paper first determines light pollution from the main source, namely lighting pollution, and lighting mainly refers to the light emitted by LED lamps. Therefore we come to study the light intensity of LED lamps to study light pollution. Secondly, we simplified the spectrum of LED lights into three chromatograms of red, yellow and blue, and we gradually reduced the proportion of blue light in our study to observe the intensity changes of the chromatograms. Next, we investigated the relationship between the stars visible to the naked eye and the light intensity of the illumination, and the technical indicators of sky pollution were translated into stars visible to the naked eye to further determine the intensity of light pollution. Finally, we carried out a sensitivity analysis of the model and the results showed that the model is more adaptable and easier to generalise.
Macroeconomics Analysis on COVID-19 Based on Mathematical Models
Authors: Xu Lanxuan
Published: April 2023

From the past century, humanity has never witnessed such a health crisis like the Covid-19 worldwide pandemic. Since it was declared a global health crisis in March 2020, country governments have put forth efforts to curb transmission of the disease and to manage the impacts on the economy. The forced measures have caused adverse and difficult to manage macroeconomic consequences. Many studies have been carried out in various regions and countries to explore these macroeconomic impacts. This paper offers a review of the research associated with the consequences of COVID-19 on macroeconomics. The author will use previous research studies that have applied various economic models (CGE, DSGE, and GEM) to quantify the macroeconomic results of the pandemic. The review concludes that the macroeconomic consequences of various pandemics can be quantified using economic models. It provides comprehensive and specific data on the consequences of COVID-19 on macroeconomics. It also exhibits information about carious economic modelling that can be used to estimate pandemic impacts.
Research progress of recombinant novel coronavirus protein vaccine
Authors: Hokwan Or , Zhang Xiaohan
Published: April 2023

The coronavirus situation is dire around the world, with more than 594 million confirmed infections and nearly 6.45 million deaths. It was found that SARS-CoV-2 and SARS-CoV have a high level of genomic similarity (peak glycoprotein serial similarity of 87.2%) , which provide a basis for vaccine development. In the context of the 2022 novel coronavirus pandemic, there is an urgent need for a vaccine that can effectively protect against the virus that must be relatively safe while being effective and predictable as well. We found that recombinant protein vaccines seem to be able to effectively solve most of the current problems after comparing several existing vaccines. This literature review mainly introduces its overall background and the development steps of this technology, including how to screen for pathogenic proteins, how to implant in CHO cells and culture after infusion, and how to isolate and purify mature spike proteins that have been cultured. And supplemented with animal clinical trials of vaccines and ACE2 receptors and prospects for the future.
The Problems of TiO2 Nanoparticle Additives in Food Additives
Authors: Wang Jiyu
Published: April 2023

With the improvement of people's living standards and the development of the food industry, TiO2, as a food additive, has been increasingly applied in the food processing industry, such as a preservative, colorant, antioxidant, thickening agent, etc. It can play an antibacterial role in food processing, but can cause allergic reactions if used for a long time or in large quantities. For example, when TiO2 comes into contact with food, it will make the taste of some food deteriorate and even lead to severe food poisoning. In addition, if TiO2 cannot be completely decomposed during processing, some harmful substances will remain. Research shows that in most areas of our country there are some people with food allergies. It can be seen that TiO2, as a food additive, may have an impact on human body during food processing. Therefore, mixing with other substances should be avoided as far as possible. TiO2 nanoparticles have excellent nanoscale effect and dispersion, as well as high mechanical strength and chemical stability, so they have a broad application prospect in food additives. TiO2 nanoparticles can be used as food additives, mainly by the covalent bonding of iron and non-iron ions in polymer organic materials to form nano-scale TiO2 gel. The gel has a high specific surface area and porosity, and can be added to food as an anti-coagulant. Due to the size effect and dispersion of nanoparticles, nano-TiO2 gel has advantages such as better, faster synthesis speed and lower cost compared with traditional dispersants.
The Influence of Meteorological Factors on the Effect of SARS-CoV-2 Transmission and Its Delayed Effect
Authors: Tong Zeyu
Published: April 2023

The influence of meteorological factors in the COVID-19 epidemic has been a popular topic in recent years. Since the emergence of Omicron, data on COVID-19 outbreaks unaffected by control measures have begun to accumulate. This paper uses data on the COVID-19 epidemic in Korea after the lifting of control measures on 18 April 2022. This paper uses infection rates corrected for antibody failure function as the response variable and correlates meteorological factors. A delay interval of 40 days was set to investigate the delayed effect of meteorological factors on infection rates. In the logistic regression analysis, temperature difference, barometric pressure difference, mean relative humidity, relative humidity difference and mean wind rating appeared significant. In the ANOVA, mean temperature, temperature difference, barometric pressure difference, mean relative humidity and mean wind rating were found to be significant. This study also shows that there are varying degrees of delay in the effects of the meteorological data.
Research on the Demographic Variables associated with Diabetes and Fetal Death in the United States
Authors: Song Yuxiao
Published: April 2023

Infant mortality has declined significantly worldwide from the last century to the present. Over the past few decades, however, the decline in neonatal mortality has far outpaced that of fetal mortality. Fetal death accounts for almost 50% of all perinatal deaths, and with intrauterine fetal death ranking in the top five causes worldwide, fetal death remains an important and understudied problem. Diabetes is one of the main reasons and increases fetal mortality risk fivefold. In the United States, from 2014 to 2016, this study compares the disparities in fetal fatalities among women of all races who had gestational diabetes or did not. With a total of 1300 patients reporting a diagnosis of gestational diabetes, statistical significance was shown for the variables of mother education of high school or equivalent, pre-pregnancy body mass index of overweight, and area of fetal birth of the South. The rate of fetal mortality was 16% higher in patients with gestational diabetes than in non-patients without gestational diabetes, according to a negative binomial regression model.
Composition Analysis and Identification of Ancient Glass Products
Authors: Nie Yuanhui , Chen Yilong , Huang Xiaotian
Published: April 2023

Ancient glass products are valuable evidences for studying the cultural exchanges between China and the West in ancient times. Because ancient glass is easily weathered by the influence of burial environment, its chemical composition changes, which affects the correct judgment of glass types. This paper mainly makes full use of the known sample data through the establishment of statistical models, classification models, correlation analysis models, and the combination of numbers and shapes, The important indexes affecting surface weathering are studied respectively; The chemical composition law, classification, correlation and difference of glass cultural relics have been established, and a high accuracy identification model of glass cultural relics has been established, which is of great significance to the identification of glass cultural relics.
Comparison of Different Depth of Convolutional Neural Network Deep and shallow CNN comparison based on FER-2013
Authors: Song Hongxin
Published: April 2023

The purpose of this paper is to cross-compare the different nature of the decision process of convolutional neural networks (CNNs) of different depths, as well as the characteristics of the ensemble model. The Facial Expression Recognition (FER) problem is selected as the carrier of this experiment. The dataset chosen is FER-2013, one of the most challenging FER datasets due to its complicated and natural contents. This research first trained four models that have different architectures using FER-2013. One is the shallow convolutional neural network, and the other three are deep pre-trained CNNs, including ResNet50 with weights from ImageNet, VGG16 with weights from ImageNet, and VGG16 with weights from VGGFaceNet. Then, by using a gradient-based Class activation mapping technique as a visualization technique, this experiment successfully displayed the different decision-making processes of the selected models and illustrated how the depth of the neural network influences the feature extraction process. This work further experimented with convolutional neural networks(CNNs) having different depths by varying ensemble combinations. Finally, all three-model combinations were tested, and the experiment results show that models that are more different in architecture would result in a better ensemble performance than those with a similar architecture. Thus, one of the inspirations we could get from this work is that models with dramatically different architectures could earn a more remarkable improvement for future ensemble models.
Genetic Algorithms for Coverage Path Planning using Mobile Robots
Authors: Yu Denghao
Published: April 2023

Using the grid method to establish the environmental model, the map is divided into several sub-regions according to the environmental characteristics, and the connection between the sub-regions is established. Next, the Genetic Algorithm encodes all sub-regions, and the base point information between and within each region is established to obtain the optimal coverage sequence. Partial coverage is achieved in each sub-region by means of reciprocating motion, which turns the complete coverage problem into a traveling salesman problem (TSP). Finally, the Genetic Algorithm is used to conduct an experimental simulation to obtain the correlation between the fitness and the number of iterations, and obtain the optimal traversal sequence, which proves that the method is effective and feasible.
The Impacts of the Airflow System in the Shoe on the Foot Environment
Authors: Li Mingshuo
Published: April 2023

Army soldiers stationed in frigid regions are highly susceptible to foot health problems, partly due to the constant sweating and moisture inside closed military boots. Winter military boots on the market lack attention to dehumidification and ventilation. To address these issues, we propose a boot system that includes a dynamic airflow system integrated into the core of the shoe midsole. This system works on the principle that the user's heel naturally squeezes the airbag under the heel during movement, thus creating an air pressure difference that drives the air movement inside the shoe. Through the experiments on the product prototype, it was found that this system allows the temperature and humidity of the foot to drop significantly within the shoe and boot environment, improving foot comfort and reducing the generation of sweat on foot. What can be expected is that after soldiers wear this shoe and boot product, the moist air inside the shoe can be continuously exported out of the shoe during dynamic training while also avoiding the consumption of external energy, keeping the foot dry and comfortable, and reducing foot injuries. And this system has the potential to be extended to a broader civilian market.
Application of Anti-wear Technology for Water-cooled Wall of CFB Boilers
Authors: Zhao Changyu , Chen Dongsheng , Wu Qiujia , Wang Wei , Zhao Zichen , Liu Xindong
Published: April 2023

Because of its high efficiency, low pollution, energy saving and other technical advantages, CFB boiler has been rapidly promoted commercially in recent decades. However, because of its special combustion mode and high material concentration, the gas-solid two-phase flow is more complex and the wear is more serious. No matter in theoretical research or engineering practice, the problem of serious wear and tear of CFB boiler has not been completely solved. Wear is the main reason that restricts the further development of CFB boilers. The main purpose of this paper is to study the application of anti-wear technology of water-cooled wall of CFB boiler. Therefore, this paper makes a systematic study on the serious wear problem of CFB boiler, makes an accurate prediction of the serious wear area, and puts forward comprehensive anti-wear measures to slow down the wear rate and prolong the service life. Through experiment, numerical simulation and comparison with the field practice, the study shows that the wear of water wall is mainly divided into erosion wear, friction wear and high temperature atmosphere corrosion wear. Among them, the wear of water-cooled wall (WCW) is mainly erosion and friction wear, while the corrosion wear of high temperature atmosphere accelerates the speed of these two kinds of wear.
Analysis and Identification of the Composition of Ancient Glass Objects Based on Logistic Regression Analysis
Authors: Chen Zhihao , Ji Jingmin
Published: April 2023

Ancient glass objects were weathered by environmental influences, and the analysis of their main components and identification of their categories is a prerequisite for all subsequent research work. This paper uses Spearman's correlation coefficient and chi-square test of variance to analyses the correlation between weathering and type, color and decoration on the surface of cultural relics; secondly, descriptive statistical tests are conducted separately for two different types of glass objects to obtain the relationship between the changes in the content of each chemical component of different types of glass objects before and after weathering; finally, by analyzing the above statistical laws, a weighted average prediction model is established to The paper analyzed the classification patterns of two types of glass, namely high potassium and lead-barium, by establishing a logistic regression model; the Spearman coefficient and analysis of variance were used to investigate the correlation between surface weathering and each component. A principal component analysis of 14 different chemical components was carried out to achieve the effect of dimensionality reduction and to interpret the meaning of each principal component; a logistic regression model was established to regress the data after the principal component analysis, which showed that the classification criteria were more reasonable and the sensitivity of the model was high.
Component Analysis and Identification of Glass Products Based on Hierarchical Clustering and Naive Bayes
Authors: Tang Linna , Tang Mingjun , Zhang Lingji
Published: April 2023

In the process of weathering of ancient glass products, the interaction of internal elements and environmental elements will directly lead to the change of their composition proportion, thus affecting the judgment of the composition. In this paper, cultural relics were analyzed by chi-square test and spearman coefficient, and descriptive data analysis was used to process and predict the composition content of chemical data after weathering, and to preliminarily classify them with nuclear naive Bayesian method. The contour coefficient S was used to find the best K value, and the K-Means cluster analysis was used to select the chemical indicators of whether the different types of glass were weathered or not in 4 categories. Therefore, the best classification results were obtained respectively, and the relationship and difference between chemical components were obtained by Pearson correlation coefficient and principal component analysis. From the perspective of data analysis, this paper conducts statistical analysis for the data distribution law, uses K-Means and naive Bayes to divide the subclasses, and establishes the intelligent divisions of three different machine learning models after voting on the data. By combining the correlation analysis and the second reference number, the largest difference is the correlation of the chemical composition between the weathered high potassium according to the different European distance of the weathered high potassium, and the smallest difference is the correlation between the weathered lead barium and the unweathered lead barium.
Study on Forest Planning Decision Based on Carbon Sequestration Model
Authors: Zhong Cheng , Tao Zhonghong , Zhang Xiruo
Published: April 2023

To mitigate the effects of climate change, this paper need to take effective action to reduce greenhouse gases in the atmosphere. From a global perspective, moderate harvesting is beneficial for carbon sequestration, but it is important for forest managers to consider the value of harvested forest products and the value of forest growth for carbon sequestration, and to consider other factors. A model for calculating forest carbon sinks was developed, setting carbon sinks of plants, soils, forest products, and the water environment as primary indicators, and dividing six secondary indicators downward. By quantifying the secondary indicators, the total amount of carbon sequestration is obtained. Second, a complete forest management plan is developed, taking into account other values of the forest. The forest management problem is transformed into a planning problem, and then a particle swarm algorithm is used to solve the forest management planning problem. Trees are not harvested when there are significant differences in biomass at different growth levels and when the value of the forest products exceeds the value of the sustained carbon sink of the trees. The value of forest products is weighed against the value of sustained forest growth to find the transition point, and specific forests and their location characteristics are used to determine the transition point.
Research on the Analysis and Identification Model of Ancient Glass Composition Based on SVM Algorithm
Authors: Tan Zhi , Wang Luyang , Cao Shuai , Xu Haipeng , Xu Jiacheng
Published: April 2023

In this paper, for the problem of classification and identification of ancient glass objects, a prediction model based on mean processing of monitoring point data, a classification model of cultural relics, and a chemical composition analysis and identification model are established by means of chi-square test and spectral clustering, and the SVM algorithm is used to study the classification and identification methods of cultural relics.
Review of Safety Equipment in Shipping (Float Tools) in The KMP. Tanjung Burang, on Ulee Lheue – Balohan Tracking
Authors: Ilham Chairul Insani , Priyono Broto , Havis Ryan
Published: April 2023

The Ulee Lheue Ferry Port is managed by the Department of Transportation port city of Banda Aceh. The crossing port serves two tracks with 3 Ro-Ro ship operating and ship jetfoil 2. One important component in ferry transport is safety. Safety is not only to the service user but also to the crew. On ships operating in the Ulee Lheue Ferry Port there are many safety devices such damaged lifejacket, lifebuoy, lifeboat and the number of safety devices that do not fit the needs of the vessel based on the Safety Of Life At Sea (SOLAS).The conditions and the amount of safety equipment must be considered in terms of both the feasibility of tools and appropriate equipment so that in the event of emergency safety tools that exist can be used with either as a form of implementation of aspects of the safety of passengers on board. The number and condition of safety equipment that does not comply with the requirements could endanger the safety of lives of the passengers in case of accident. The number of safety devices must be able to accommodate the number of passengers and crew on board.
Evaluation on Habaring Hurung Pier Pontoon to Improve Service in East Kotawaringin Transport System, Central Kalimantan Province
Authors: Binti Mohamad Zukri Nur Fareha , Alam Kodrat , Rizki Hidayat M.Noor
Published: April 2023

East Kotawaringin has a relatively large area, namely 16.796 km2 or 10.94 percent of the area of ​​Central Kalimantan province. With an area of ​​regional the East Kotawaringin divided into 17 districts, mostly lowlands. Kotawaringin East region which thousands of cities in Sampit City astronomically lies between 112⁰ 7 '29 "East until 113⁰ 14' 22" East and 1⁰ 11'50 "south latitude to 3⁰ 18 '51" South Latitude. Geographically, in the western part bordering Seruyan District, the north to east by Katingan, and directly adjacent to the southern part of the Java Sea. This district has a topography that varies between 3-85 meters above sea level.The pier is one of the parts that are used to perform an activity arrival and departure of ships, up and down the passenger and cargo handling. The role of the pier is very important to support these activities. To support these activities, the pier used must be in good condition so that the activities coming and departing ships, up and down the passenger and unloading can proceed smoothly. But Pier of Habaring Hurung infrastructure conditions in East Kotawaringin need attention, especially from the manager in this case is the Department of Transportation Kotawaringin East Central Kalimantan province as conditions dock floor height fixed type that does not correspond to the freeboard boat at low tide and condition-type floating dock made of wood and many parts have been weathered, the absence of mooring facilities, bridges poorly and docks are flooded due to the tilt of the wooden pier so that the activity of ships berthing and unloading at the docks less safe, smooth and comfortable for service users, Based on the analysis carried out that the need for evaluation and the addition of facilities and planning of facilities to improve existing services at Pier Habaring Hurung.
Evaluation of Passenger Transport Services in Bastiong Ferry Port, North Maluku Province
Authors: Ersoy Muhammed Ebuzer , Victoria Ong Argo , Miftahurrahman Fikri
Published: April 2023

Ternate is a city of islands, Ternate is very dependent on the mode of transport crossing that connects the islands in the vicinity. This port is felt more and more important and strategic because it provides an enormous impact on the growth and development of Ternate region because it serves as the entry and exit of goods and staples. Bastiong Ferry Port which is under the authority PT.ASDP Indonesia Ferry (Persero) Branch Ternate. Based on this analysis it was concluded that there are variables that are still lacking in the service of some ferry transport as not Information not available yet and Safety Facility that is easily visible and affordable form of fire extinguishers, manual evacuation routes, and emergency numbers, are not yet available information and existing health facilities but the unavailability of health workers, Waiting Room facilities are not well maintained and dirty, the facilities existing toilets smelling and dirty condition, the unavailability of Advanced Transport Information to users of services, not provided passenger service facilities, unavailability is the availability of a uniformed porter who have an identity and be easily visible, good condition and function makes it easy for passengers to carry luggage, the unavailability of facilities for passengers difable, The management though because it must complete the port operations and improving service facilities on Bastiong ferry ports in accordance with the benchmarks that have been required in the Regulation of the Minister of Transportation Number 39 Of 2015 on Ferry Transport Passenger Service Standards.
Analysis Of The Use Of Self-Protective Equipment (PPE) In Boom Baru Port Of Palembang
Authors: Komalasari Yeti
Published: April 2023

In an effort to implement work procedures safely and avoid working risks to loading and unloading activities, awareness of the loading and unloading workers (TKBM) is required to apply Occupational Safety and Health (K3) rules through the use of Personal Protective Equipment (PPE). The fact that occurs when this, the application of the use of Personal Protective Equipment (PPE) in loading and unloading activities at the Port is still lacking, even though the loading and unloading activities are high operational activities that can cause various risks of accidents, especially risks to occupational safety and health. The purpose of this study was to evaluate the process of implementing Occupational Safety and Health (K3) to Unloading Workers at the Boom Baru Port of Palembang through the use of Personal Protective Equipment (PPE). The study used survey questions and direct interviews in the field, followed by identification of project locations, visual surveys in the project and documentation taking in the field. Implementation of the use of Personal Protective Equipment (PPE). At the Boom Baru Port of Palembang, it has not been going well because of the lack of implementation of the supervisory function of the TKBM Cooperative and from the regulatory side of the Palembang Port Authority and Port Authority (KSOP).
Analysis Of Fast Ship Requirements In The Lembar Crossing Port - Padangbai In 2018
Authors: Surnata Surnata , Setiawan Bambang
Published: April 2023

Transportation needs in an area caused by the interaction between social and political activities, as well as tourism in the area. Transportation plays a very important role in the success of the development of an area, which has a role as a liaison between one region and another separated by the presence of water, the role of transportation is also very closely related to development, and stimulates new activities in the development of the transportation system into a very important and very useful role in the smooth development of the wheel, strengthening unity and unity that affects all aspects of life. The conditions of West Lombok Regency which is close to Bali Island which is separated by the Lombok Strait, this causes crossing transportation is the main transportation of goods or passengers that can be reached by the community in supporting equitable development. Crossing transportation has an important role to provide support for economic growth, especially crossing. The position of transportation becomes one of the decisive elements in order to guarantee the economic development of the community. As the economy progresses, the role of transportation increases. This is due to the economic dependence on transportation to be greater because it must always be guaranteed smoothness in the flow of goods and passengers quickly, cheaply and safely from Padangbai Port to Lembar Harbor or vice versa. Lembar Crossing Port is one of the Crossing Ports located in West Lombok Regency which serves the Lembar - Padangbai Crossing. At the Crossing Port Lembar there is a ferry transportation company operated by PT. Indonesia Ferry ASDP Branch of Lembar.
Port Of The Inland Waterways
Authors: Ong Argo Victoria
Published: April 2023

Inland water harbor is a port located in the inland waters of a large river that can be navigated, canal / river or in a lake. The inland port can function like a seaport with various loading and unloading activities including container ships, tankers, roro ships and so on like the Boom Baru port in Palembang, Trisakti Port located in the suburbs of Banjarmasin, the capital of South Kalimantan Province, is located on the banks of the Barito River, about 20 miles from the mouth of the Barito River at position 03 "20" 18 "LS, 114" 34 "48" East. Banjarmasin port is a major supporter of sea transportation which directly or indirectly plays an active role in the economic development of South Kalimantan Province. Because through inland waters usually the draft ship is not too deep depending on the river being passed.
Temperature Distribution Analysis on the Surface of the Radiator: Infrared Camera and Thermocouples Results Comparison
Authors: Kotrys-Działak Dagmara , Stokowiec Katarzyna
Published: April 2023

The experiments conducted in a didactic laboratory of the Kielce University of Technology involved temperature distribution measurements on the outer surface of a steel radiator using a thermal imaging camera and thermocouples to compare both investigation methods. The research included registering the parameters for a specific period for each of the four different medium flows. Graphs present the results with the division of the radiator into eight thermal fields. The results present the differences in temperatures between 1.78°C to 3.65°C. The non-contact method with an infrared camera seems more accurate since it is precise for surface temperature measurement.
EXPERIÊNCIAS COM EDUCAÇÃO PERMANENTE: REVISÃO INTEGRATIVA DA LITERATURA
Authors: Barbosa Vanessa Baliego de Andrade , Nonato Ana Carolina , Barbosa Laura de Andrade Karan , Barbosa Pedro Marco Karan , Pio Danielle Abdel Massih , Siqueira Júnior Antonio Carlos , Bocchi Silvia Cristina Mangini
Published: April 2023

Introdução: A Constituição e a Lei de 1990 estabelecem o direito e dever do Estado na saúde pelo SUS. A Educação Permanente em Saúde (EPS) promove a reflexão e transformação nos processos de trabalho. A EPS deve ser guiada pela identificação das necessidades de saúde das pessoas, gestão local e controle social, porém ainda há uma distância entre formação e prática nos serviços de saúde e existem desafios para sua implementação efetiva. Assim, pergunta-se: como se configura a produção do conhecimento acerca das experiências de trabalhadores de instituições de saúde que se utilizam da EPS como estratégia de formação dos profissionais e gestão do trabalho em saúde? Objetivo: levantar e sistematizar o conhecimento sobre as experiências de profissionais de instituições de saúde que utilizam a EP como estratégia de formação e gestão do trabalho em saúde. Método: Estudo exploratório e de vertente qualitativa, realizado por meio de revisão integrativa da literatura. Para seleção dos artigos foram utilizadas as bases Medical Literature Analysis and Retrieval System on-line (MEDLINE) e Literatura latino-Americana e do Caribe em Ciências da Saúde (LILACS). 120 artigos foram encontrados, porém após a aplicação dos critérios de inclusão na leitura de títulos e resumos oito publicações foram selecionadas e analisadas por meio da Análise de Conteúdo, modalidade temática. Resultados: Dois temas emergiram: 1) EP como espaço de escuta, diálogo e integração dos trabalhadores; e 2) vivenciando mudanças na prática a partir dos movimentos de EP contribuindo para a autonomia e segurança nas tomadas de decisões. A Educação Permanente em Saúde ainda precisa evoluir e abranger outras categorias profissionais além da Enfermagem, mas é importante que os profissionais se tornem protagonistas de seus processos de trabalho, estejam abertos à escuta do outro e dialoguem com seus colegas para contribuir para a aprendizagem e transformar a realidade. A implementação da EPS como estratégia de educação e gestão nos serviços de saúde possibilita a ação-reflexão-ação diante das necessidades de cada trabalhador, favorecendo o desenvolvimento da autonomia e das tomadas de decisões seguras e fortalecidas pelo coletivo. Considerações finais: A EPS é pouco adotada como estratégia de formação de recursos humanos na área da saúde. Ela pode criar espaços de diálogo e responsabilização dos sujeitos, construir vínculos, desenvolver a autonomia dos trabalhadores, favorecendo a aprendizagem e qualidade do cuidado. Sua implementação requer uma nova lógica de organização e cuidado em saúde, rompendo com modelos autoritários de gestão e processos centralizados no profissional de saúde em detrimento do usuário.
PALAVRA PODEROSA: UMA REFLEXÃO PASTORAL SOBRE A RELEVÂNCIA DA BÍBLIA SAGRADA
Authors: De Souza Fernando Dias , Rueda Neto Eduardo
Published: April 2023

Este ensaio consiste em uma reflexão de cunho pastoral a respeito da relevância da Bíblia Sagrada e seus efeitos positivos na vida de seus leitores. Tomando-se como elementos estruturantes os adjetivos “viva”, “eficaz” e “cortante”, apresentados no texto de Hebreus 4:12, procura-se avaliar os qualificativos elementares das Escrituras e sua aplicação prática. Através do itinerário percorrido, verificou-se que a Bíblia não é um livro comum, mas, como Palavra de Deus, demonstra ser dotado de virtudes análogas à de seu autor divino, as quais a habilitam a transformar o indivíduo e conduzi-lo ao caminho da salvação. Suas características essenciais atingem o âmago do ser humano e produzem uma renovação completa, sobretudo em sua cosmovisão. Por fim, conclui-se que a assimilação do conteúdo bíblico pode redundar em aprimoramento não apenas da pessoa enquanto indivíduo, mas de toda a sociedade, uma vez que as Escrituras são capazes de expandir as potencialidades humanas e extrair o melhor delas.
O DIA A DIA DE BEBÊS NA CRECHE PÚBLICA
Authors: Costa Aneri Francisca Silva
Published: April 2023

Este trabalho teve como objetivo analisar sobre o cotidiano dos bebês nas creches públicas, de modo a contribuir com pesquisas que abarquem a importância do currículo pedagógico infantil nessa fase de ensino, para que assim se possa promover o efetivo desenvolvimento integral da criança. Para isso, a metodologia consistiu em uma pesquisa bibliográfica, tendo como etapas a identificação do problema de pesquisa, a investigação de conceitos e dados através de livros e artigos científicos, interpretação dos resultados e a síntese do conhecimento obtido. Foi observado que, em seu período de implantação, as creches eram de cunho assistencialista, as quais o Estado se omitia das responsabilidades, e que eram sinônimo de cuidados dos filhos de mulheres de baixa renda, que não tinham como cuidar dos mesmos devido às altas cargas horárias frente ao mercado de trabalho. Com as mudanças instituídas através da Constituição Federal de 1988 e a Lei de Diretrizes e Bases da Educação, a Educação Infantil passou a ser de responsabilidade do Estado, além de fazer parte do sistema de Educação Básica brasileiro. Com isso, as creches, que são oferecidas para crianças de zero a três anos, trazem consigo a função do educar e cuidar, termos esses que são indissociáveis, tendo em vista que não existe um educar sem que haja uma base de cuidados envolto a ele. As creches devem ter seu currículo pedagógico infantil de forma que promova o desenvolvimento integral da criança, abrangendo seu lado cognitivo, social e emocional, fazendo com que ela possa ser capaz de investigar, explorar e pesquisar através do brincar, da aprendizagem, da interação e da expansão do raciocínio.
A REVIEW ON ETHANOMEDICINAL USES, PHARMACOLOGICAL ACTIVITIES OF TRIGONELLA FOENUM
Authors: Jayaraman Ilamathi
Published: April 2023

Fenugreek (Trigonella foenum-graecum) typically called Methi is an annual herb belonging to own circle of relatives Fabaceae. It decreases the bad cholesterol stage reduces the frame weight through lowering plasma triglycerides tri glycerides. Fenugreek is thought to have hypocholesterolemic, antioxidant potency, digestive stimulant movement, and hepatoprotective effect. It is anticarcinogenic, antioxidant, antibacterial agent, and anti-anorexia agent. Recent studies discovered that fenugreek is a treasured medicinal plant of multipurpose makes use of and can be used for getting ready diverse merchandise consisting of steroidal hormones. This assessment gives the principal medicinal and different useful makes use of fenugreek determined thru final a few years of studies in animal and human topics in addition to in different experimental studies. In this assessment, we can summarize antioxidant, anti-diabetic, PCOS, anti-microbial, hyperlipidemic movement, anti-most cancers movement and medicinal properties of fenugreek. Keywords: Fenugreek, bioactive compounds, anti-oxidant, anti-diabetic, alkaloid, medicinal properties.
Új fejezet a szemfelszín gyulladásos betegségeinek kezelésében: „soft” típusú topikális szteroid a gyulladáscsökkentő terápiás algoritmusban
Authors: Tóth-Molnár Edit
Published: April 2023

A szemfelszínen számos kóroki tényező hozhat létre gyulladásos megbetegedéseket. A leggyakoribb és ezért a legnagyobb klinikai relevanciával járó szemfelszíni gyulladásos kórkép a száraz szem betegség, amely egyre szélesebb populációt érintő, növekvő egészségügyi probléma. A krónikus szemfelszín gyulladás csökkentése jelentős terápiás kihívás, hiszen a prompt hatású szteroid hosszabb ideig történő lokális alkalmazását számos szemészeti mellékhatás limitálja. A gyulladáscsökkentő kezelési lehetőségek kutatásának legújabb eredménye a „soft” – lágy szteroidok kifejlesztése. A „lágy” gyógyszer olyan biológiailag aktív vegyület, amely a lokális terápiás hatásának elérése után kiszámíthatóan, a hatás helyén inaktiválódik nem toxikus anyaggá. A lokális szemészeti szteroid kezelési algoritmusban új fejezetet jelent a lágy szteroid típusú hatóanyag megjelenése, hiszen a lokális szteroidok szemészetileg jól ismert mellékhatásai (szemnyomás emelő hatás és kataraktogén hatás) ezen készítmények esetében minimálisra redukálódnak. Jelen közlemény célja a „lágy” típusú topikális szteroid, mint terápiás lehetőség kliniko-farmakológiai jellemzőinek, klinikai alkalmazásának, hatás-mellékhatás profiljának ismertetése.
economic effects of climate change on Budapest
Authors: KUTASI Gabor , Érfalvy Áron , Torda Sztella , Golenyák Virág
Published: April 2023

Cities – the engines of the world economy – are on the front line of climate change. As a major city, Budapest is threatened by many of these risks, especially in connection with transport, the construction industry and improving the standard of living. The study investigates the possible challenges and policy solutions related to climate change in Budapest. By reviewing the experiences of the economic effects of climate change on big cities and their practices to mitigate, nevertheless, by mapping the climate-related status of the Hungarian Capitol, the analysis creates the opportunity for recommendations. The review resulted in a projection of global warming effects on the metropolitan economies. Besides, a collection of best practices was composed about the actions made by cities to mitigate these effects. The results created the opportunity to conclude the needful actions in Budapest to prepare its construction industry, transportation system, waste management and labour market for adaptation by financial, R&D and long-term planning solutions.
Machine Learning for Natural Language Processing: Techniques and Evaluation
Authors: Raja Piyush , Kumar Dr. Santosh , Yadav Digvijay Singh , Kumar Dr. Amit , Kumar Ram Krishna
Published: April 2023

The purpose of this research study is to analyse the approaches that are used in machine learning for the solution of natural language processing (NLP) issues. Also, the assessment criteria that are used in the performance analysis of these models are looked at as part of this investigation. We investigate the challenges that come with using machine learning for natural language processing (NLP), including the issue of data bias and the need that these models have the capacity to be explained. Research is conducted into a variety of supervised and unsupervised learning approaches, including as neural networks, topic modelling, and clustering. Also, a number of evaluation metrics, such as accuracy, precision, recall, and F1 score, are discussed. As the research comes to a conclusion, it is highlighted how important it is to find solutions to problems like data bias and the inability to explain results. This is done in order to ensure that the results generated by machine learning models for natural language processing are accurate and unbiased.