bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Evaluation of Engineering Management Based on Hierarchical Analysis Approach
Authors: Zhu Bin , Peng Tong , Sun Peng
Published: February 2024

With the increasing scale and complexity of engineering projects globally, scientific and effective performance evaluation of engineering management has become a key factor in improving project success. The purpose of this paper is to assess the performance level of engineering management in a systematic and hierarchical way by applying hierarchical analysis (Hierarchical Analysis) to improve the efficiency of project execution, reduce the risk and enhance the likelihood of project success. Typical examples of water conservancy project management in Yunnan were selected to quantitatively evaluate water conservancy project management by applying the hierarchical analysis method with comprehensive assignment. Combined with the evaluation results and the typical problems of the current traditional water conservancy project management, relevant suggestions for the implementation of the property-based management model are put forward.
Current Research Status of Split Grouting Theory
Authors: Liu Bian
Published: February 2024

Splitting grouting is currently the most widely used grouting method. Based on a comprehensive analysis of domestic and foreign literature, this paper introduces the theory of split grouting in response to the current research status of grouting theory. Study the theory of split grouting from the aspects of hole expansion theory, splitting pressure, diffusion law, propagation process, and grouting pressure; And suggestions were put forward for the current problems and future research directions of grouting theory.
Research on the Current Situation of Thermal Environment in Guanzhong Farmhouses and Strategies for Improving Human Settlement Environment
Authors: Liu Siqi , Wu Xinghui
Published: February 2024

Energy is one of the most important factors that constrain global economic development, and it is the fundamental guarantee for national economic development and the circular development of various industrial links. Building energy conservation is the key to achieving energy conservation and emission reduction. The Guanzhong region is a typical cold winter and hot summer area, and in the development process, Guanzhong residential buildings have also formed a set of construction strategies suitable for the regional climate characteristics. Combining local unique construction techniques and materials, the building exhibits significant local characteristics. This study analyzed the climate characteristics and passive technologies in the Guanzhong region, and constructed a 3D model of typical rural houses. Based on field research, a green development strategy was proposed by comparing and analyzing the differences between actual monitoring of ventilation and lighting and mathematical simulation. This study contributes to promoting the improvement of regional living environment and sustainable development.
Research on the Construction of Green Exhibition Driven by Sustainable Design
Authors: Yang Fangchao
Published: February 2024

The International Union for Conservation of Nature (IUCN) introduced the concept of sustainable development in 1980. In the past 40 years, sustainable design has gradually gained attention. It has brought innovations in design, environment, economy, and education models, rewritten consumers' lifestyles, and provided a new design paradigm for green curation. This paper explores combining innovative business models and environmental responsibility in fashion curation driven by sustainable design. As a critical link in communicating and leading fashion trends, fashion curation is responsible for guiding consumers and industry change, and it must seek a more sustainable development path in the contemporary wave of development. Through a literature review and case studies, this paper analyses various sustainable design applications in fashion curation, including selecting environmentally friendly materials, supply chain management, and education promoting sustainable consumer consumption. It is found that the development of innovative business models needs to be closely aligned with environmental responsibility, promoting sustainable development in fashion curation. The paper also proposes development strategies and paths to encourage the fashion industry to actively take on social and environmental responsibility while innovating business models, providing guidance and reference for future sustainable fashion curation.
Study on the Formation Mechanism of The Strike-slip Fracture Zone in the Gulongnan Area of the Songliao Basin
Authors: Li Wei , Li Zhongquan
Published: February 2024

The Gulongnan strike-slip fracture zone consists of multi-phase active faults, which play a crucial role in the transportation of hydrocarbons generated from depressions to the slope area, and is of high research value. However, the main controlling factors of reservoir formation in the context of the development of strike- slip fracture are still unclear, and the success rate of drilling wells is low, so there is an urgent need to carry out the research work on the formation process of strike-slip fracture zones and the mechanism of genesis. Based on the principle of similarity, this paper investigates the tectonic style and evolution law of extension and extrusion under the control of strike-slip faults in the study area through tectonophysical simulation experiments, in order to reproduce the dynamical evolution process, and achieves a high degree of agreement with the actual geological situation. The experimental results show that at the end of the depositional stage of the Qingshankou Formation in the study area, a weak east-west extrusion formed the dorsal tectonics, and then a strong east-west stretching formed the strike-slip fault zone, and the tectonic pattern of the study area was controlled by the two main faults formed in the early stage of the extrusion.
REWORKED MESOZOIC RADIOLARIANS IN MIOCENE-PLIOCENE FORELAND SEDIMENTS IN THE ZAGROS BELT, IRAN
Authors: DIETZEL CHRISTIAN A.F. , EL ATFY HAYTHAM , BERTHOLD CHRISTOPH , MAJIDIFARD MAHMOUD REZA , BÖHME MADELAINE
Published: February 2024

Micropaleontology can give important insights into the provenance and paleoenvironmental conditions in terrestrial sedimentary archives. For the current study, 84 samples representing a 2.6 km thick sedimentary profile from the SimplyFolded Zagros Mountain Belt were investigated. They span ca. 10.2 my from the late Middle Miocene (Serravallian) to the earliest Pleistocene (Gelasian), and comprised floodplain sediments and saline mudstones with an aeolian contribution. The mudstones revealed a unique Cretaceous radiolarian assemblage comprising largely of cryptothoracic Nassellarians and spherical spumellarians. This record highlights the reworking of sediments derived from Cretaceous Qulqula- Kermanshah radiolarian claystones and radiolarites in the Imbricated Zagros belt into the distal Neogene Zagros foreland sediments in Lurestan (Lurestan Arc). The high abundance of Holocryptocanium barbui (Dumitrica) and other cryptothoracic taxa compared to the Qulqula- Kermanshah radiolarian claystones and radiolarites potentially indicates a preferred erosion of softer units such as the Red Radiolarian Claystone Unit (RRCU) compared to harder radiolarian cherts. The observation of a reworked largely cryptothoracic assemblage might also point to additional sorting effects during fluvial and aeolian transport as well as during redeposition, depending on the morphology and hydrodynamic properties of individual radiolarian taxa.
INCIDENCE OF HEPATOCELLULAR CARCINOMA IN PATIENTS WITH CHRONIC HEPATITIS C GENOTYPE III AND ADVANCED HEPATIC FIBROSIS AFTER TREATMENT WITH DIRECT-ACTING ANTIVIRALS
Authors: KANJU S , SHERWANI UK , RAZA A , SARWAR S , WADHAK MA
Published: February 2024

A prospective study was conducted at the Gastroenterology Department of Nishtar Hospital from August 2020 to August 2022 to evaluate the incidence of hepatocellular carcinoma (HCC) in chronic hepatitis C (CHC) patients with hepatic fibrosis or cirrhosis, genotype III, who achieved sustained viral response (SVR) after treatment with direct-acting antivirals (DAAs). The study included a total of 500 genotype III patients diagnosed with F3 and F4, who received a 3-month or 6-month course of DAA regimens. HCC was diagnosed by performing triphasic MSCT, and staging was done. During the follow-up, 50 out of 500 patients were diagnosed with HCC. The patients diagnosed with HCC were primarily elderly males and had higher levels of AST, AFP, and bilirubin, as well as reduced platelets and albumin levels compared to non-HCC patients. In cirrhotic patients, the incidence of HCC per year was 2.920 per 100 people. Advanced age, male gender, increased AFP, and decreased albumin were among the predictors of HCC incidence in F4 patients. The study findings suggest that CHC patients with fibrosis and cirrhosis who achieve SVR after treatment with DAAs have a reduced incidence of HCC.
From ELIZA to ChatGPT: A brief history of chatbots and their evolution
Authors: Wang Kaicheng
Published: February 2024

Over the years, chatbots have grown to be used in a variety of industries. From their humble beginnings to their current prominence, chatbots have come a long way. From the earliest chatbot ELIZA in the 1960s to todays popular Chatgpt, chatbot language models, codes, and databases have improved greatly with the advancement of artificial intelligence technology.This paper introduces the development of chatbots through literature review and theoretical analysis. It also analyzes and summarizes the advantages and challenges of chatbots according to the current status of chatbot applications and social needs. Personalized interaction will be an important development direction for chatbots, because providing personalized responses through user data analysis can provide users with a personalized experience, thus increasing user engagement and satisfaction.
Research on multi-role classification task of online mall based on heterogeneous graph neural network
Authors: Wei Hanying
Published: February 2024

With the rapid development of e-commerce, online shopping malls have become an indispensable part of daily life. In order to better meet the needs of consumers, marketplace platforms need to accurately identify and categorize different user personas to provide personalized services and recommendations. In traditional role classification methods, basic information and behavioral data of users are typically used for classification. However, this approach often ignores the complex relationships between users and multiple heterogeneous data such as goods, reviews, social networks, and more. Therefore, we propose a new approach based on heterogeneous graphs to model different types of data in the form of graphs to better capture the connections between users and various elements in the marketplace. In this study, graph embedding technology is used to map nodes in heterogeneous graphs into low-dimensional vector spaces to capture similarities and relationships between nodes. Then, using the vector representation of these nodes, we can apply algorithms such as attention mechanisms for multi-role classification. Specifically, we use algorithms such as support vector machines to train classification models and use heterogeneous graph attention mechanisms to obtain the final feature representation of nodes. Experimental results show that our method shows significant advantages in multi-role classification tasks. Finally, the results of this study are discussed and summarized. We found that the classification model based on heterogeneous graph can effectively classify multiple roles in the online mall to provide personalized services and recommendations for the mall. At the same time, we also find that the construction of heterogeneous maps and the choice of graph embedding technology have important impacts on the classification results, which need further research and optimization. Therefore, multi-role task classification of online shopping malls based on heterogeneous graph neural networks is of great significance for improving the user experience and recommendation effect of online shopping malls, and also provides new ideas and methods for research in related fields.
Sentiment analysis based on long short-term memory model
Authors: Deng Jiahao , Wang Qing , Ye Zi
Published: February 2024

An important area of natural language processing is text emotion analysis. Emotion analysis is a very meaningful research work and has a broad application prospect, such as social media monitoring, reputation research of commodity brands, market research, and so on. By analyzing the time and content factors of the data, considering the final application scenario, and finally comparing the advantages and disadvantages of the methods, There are three main techniques for analyzing emotions in text: emotion analysis using an emotion dictionary, emotion analysis using machine learning, and emotion analysis using deep learning. Among them, Convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory networks (LSTM) are examples of deep learning-based techniques. For processing temporal relate issues such as video, speech, and text, CNN algorithms often consume a large amount of computational time, especially for processing image datasets, which may encounter specific problems. To address this issue, RNN is more suitable for solving temporal related issues such as video, voice, and text. In natural language, word order is an extremely important feature. RNN may potentially process sequences of any length, add memory units based on the original neural network, handle pre- and post-word dependencies, and process sequences of any length. The main work is as follows: LSTM adds or deletes unit states through a structure called gate, Determine the experimental thinking of text analysis, Crawl and train data sets through AI Studio, pycharm and other tools.
A special target detection called You Only Looks Once
Authors: Li Liyun
Published: February 2024

This paper proposes a unique target detection called You Only Look Once (YOLO for short) and a recognition method. Unlike the previous idea of many classifiers with object detection functions, the object detection box is set as a spatially separated bounding box and the regression problem of related class probabilities is realized. The neural network model can directly scan the entire image during testing, predicting bounding boxes and class probabilities from the complete picture. At the same time, because the whole detection channel relies on a single neural network, it is more straightforward and concise when upgrading and updating. The unified architecture used in this paper is fast, with smaller versions of the YOLO model processing a staggering 155 frames per second. At the same time, it has also achieved excellent results in mAP. Compared with other detection systems, YOLOv3 has optimized many past problems, including positioning errors. At the same time, the probability of predicting false detections in the absence of false detections is small. Finally, like the YOLO base model, YOLOv3 may produce significant errors when processing abstract works of art and images with a large number of small objects. However, its actual results are still better than detection methods such as Region -Convolutional Neural Networks (R-CNN).
Design and analysis of 4-bit absolute-value comparator in 65nm technology using hybrid TG/CMOS
Authors: Wang Yujie
Published: February 2024

Comparators are an important part of the calculator architecture, and rapid advances in semiconductor and electronics technology have placed higher demands on their performance. Optimization of digital systems involves several levels in order to make improvements in their power consumption, delay, and other parameters. This paper designs a low-power, high speed, and area efficient 4-bit absolute-value comparator, which utilizes a static Complementary Metal-Oxide-Semiconductor (CMOS) and Transmission Gate (TG) hybrid structure. The design optimizes the system at the level of separate circuit blocks, logic gates and transistors. The logic functions are realized by means of transcoding and magnitude Comparison, and the input signals are all driven by two-stage inverters. MUX and XOR with excellent performance of TG structure are implemented using simulation and analysis. In this paper, the transistor sizes and supply voltages of each logic gate are calculated and optimized using MATLAB by applying logic effort theory. The design uses a 65nm technology, and transient simulation of the overall system in Cadence successfully realizes its logic functions with 0.83ns delay and 49.6uw power consumption, proving the effectiveness of the design. This study based on theoretical calculations and simulations is a good reference for the design and theoretical study of very large-scale integrated circuits (VLSI).
Optimization and application of numerical comparators in autonomous driving technology
Authors: Zhu Wentao
Published: February 2024

As one of the hot spots in the field of science and technology in recent years, autonomous driving technology is developing rapidly and arousing wide attention. This study explores the application of numerical comparators in autonomous driving technology, with a particular focus on their potential role in environmental perception and decision-making. We have designed and optimized a 4-bit absolute comparator to address the increasing control requirements and energy optimization goals of autonomous vehicles. The results show that numerical comparators play an important role in autonomous driving technology and can be used to quickly and accurately compare sensor data with thresholds, helping systems make critical decisions such as obstacle detection and trajectory planning. By optimizing the circuit design, we managed to reduce energy consumption and achieve the goal of low latency. The significance of this research is to fill the knowledge gap about the application of numerical comparators in automatic driving technology and provide a new idea for the performance improvement of automatic driving system. In the future, we can further explore the innovative potential of numerical comparators in autonomous driving technology to achieve safer, smarter, and more efficient autonomous driving technology.
Design and optimization of a 16-bit spike detector based on 90nm CMOS technology
Authors: Wen Fuchang
Published: February 2024

To deeply understanding of brain function, the rapid and accurate extracting relevant signals during brain operation has become increasingly important. As our understanding of brain function advances, the ability to extract relevant signals quickly and accurately becomes increasingly crucial. Therefore, a 16-bit spike detector has been designed to detect neural signals. Since a 4-bit absolute value detector is a critical module of the 16-bit spike detector, this paper presents a design for a 4-bit value comparator using a chain adder and a comparator. Two methods, changing the supply voltage and changing the gate size, were utilized to reduce power consumption, and it was found that changing the supply voltage method was more effective. Additionally, the circuits layout was designed for simulation to enhance the authenticity and reliability of the results. Currently, brain-computer interface technology remains a widely discussed topic in the field of neuroscience, and the speed and accuracy of neural signal processing continue to be critical issues that need to be addressed.
The application of database systems in information management
Authors: Deng Tianle
Published: February 2024

Database technology has always been a focal point of interest for enterprises and organizations in the field of information management. With the continuous growth and diversification of information, effective information management has become crucial. This paper aims to explore the extensive applications of database systems in information management. Firstly, the paper reviews relational and non-relational databases. Subsequently, it delves into the current applications of database systems in various domains, including enterprise management, retail, education, and government and public services. In the realm of enterprise management, database systems provide a solid foundation for information management by ensuring the timeliness, accuracy, and reliability of data. In the retail industry, they support inventory management, sales analysis, and enhance the user experience. In education, database systems are used for student information management, teaching data analysis, and online learning. In the government and public services sector, they facilitate information sharing and data transparency, while playing a critical role in crisis management and emergency response. This paper highlights the significance and diverse applications of database systems in different domains, offering insights into the current research trends and future prospects in this field.
Application and analysis of landscape recognition based on efficient net for natural scene
Authors: Jin Sisheng
Published: February 2024

One significant assessing criteria of climate change is geometric evolution. The rate of evolution reveals the speed that environment worsens. Advanced space mirror monitors that and generates images timely. However, it might be difficult for human to deal with collected numerous image-related data. In previous research, convolutional neural network is regarded to have specific advantage in resolving image recognition tasks. Hence, a new type of convolutional neural network model is applied to identify different kinds of landscape. Virtually, this model is called Efficient Net which based on landscape recognition dataset with 5 classes of landscapes. The study also introduces the fine-tuning to further improve the performance of the model. To evaluate the model, the precision, recall, F1 score, accuracy and loss are adopted as assessing criteria. The results shows that the model predicts the target dataset to a great extent. However, it has been tested that the class of mountain might not be suitable for predicting because of vague criterion. That is helpful in real-condition geographical applications and environmental governance.
MapReduce based on serverless platforms
Authors: Zhang Yuhong
Published: February 2024

This study intends to investigate the application of the MapReduce (MR) framework based on serverless computing in big data processing. By combining the MapReduce model with serverless computing, efficient data processing is achieved. In this framework, the phases of Map task execution, reduce task execution, etc. are accomplished through stateless serverless functions, and data storage is realized with the help of cloud storage platforms (e.g., OSS). In this paper, the author introduces the basic theory of MR, the basic theory of serverless computing, describes the framework implementation process, and discusses the role of OSS in distributed computing. The outcomes of the trial indicate the average execution time of the framework for a WordCount task on 100 pieces of TOEFL English reading data is 6.81 seconds. The discussion analyzes the frameworks advantages (high elasticity, resource utilization) and disadvantages (cold start latency, unsuitable for long time tasks). Future research directions encompass performance optimization, long-time task processing, state management, etc. In summary, this study provides valuable insights for the practical application of serverless computing in big data processing.
Research on the applications of the wireless communication
Authors: Yan Sujun
Published: February 2024

Wireless communication transmits information, data, and signals across a spatial expanse without physical wired connections. The transmission of information is facilitated through the utilization of electromagnetic waves, which propagate through several mediums, including the air. The paper mainly examines the development process, the significant impact of wireless communication on individuals, the fundamental operating principles of wireless communication, and wide-used techniques and their applications in wireless communication. However, we also acknowledge the shortcomings and constraints of the existing wireless communication systems, and we are confronted with the challenge of identifying a viable approach to implement an improved and more comprehensive version of it. Luckily, it is anticipated that the future of wireless communication will yield promising prospects and contribute to notable progress in diverse fields. In conclusion, it is evident that despite the existing challenges in current wireless communication techniques, there is optimism for a promising future. This is attributed to the anticipated emergence of expanded applications and further enhancements facilitated by the continuous advancement and refinement of wireless communication techniques.
Identification and analysis of real and fake news by XGBoost algorithm of machine learning
Authors: Chen JueYu
Published: February 2024

As the internet develops rapidly, fake news has become increasingly easy to propagate. Numerous academics acknowledge the perilous nature of this phenomenon, particularly in the context of the contemporary post-truth era, highlighting its substantial risk to the public. Hence, the detection and halting of fake news dissemination are absolutely vital. This study utilizes machine learnings eXtreme Gradient Boosting (XGBoost) algorithm to construct a model that can differentiate between genuine and fake news. The model is compared with others utilizing different algorithms and is ultimately selected. The study successfully constructs a model with an accuracy rate of approximately 95% in identifying real and fake news. This model provides the public with a convenient way to differentiate between real and fake news and gradually diminishes the threat of fake news. Additionally, this projects implications extend beyond merely identifying real and fake news. The model can be further developed to detect fake information, providing greater societal benefits.
The application and analysis of the KNN algorithm in machine learning for breast cancer prediction
Authors: Li Hangyu
Published: February 2024

When female patients are tested for cancer, breast cancer tends to be detected more often than other cancers. Breast cancer also accounts for a large percentage of deaths of female patients due to cancer. Timely prediction of whether one has breast cancer or not is of great significance in the treatment of breast cancer. In this study, K Nearest Neighbors (KNN) algorithm is used for data analysis as well as probability prediction to determine the probability of having breast cancer and compare it with traditional machine learning algorithms. The variation of accuracy versus K-value for a given dataset was experimentally represented by a graph. Also, the experiment gives and compares the accuracy of different learning algorithms in the same situation. According to the experimental results, the KNN algorithm tends to be more accurate than the other algorithms, with an accuracy of 98 percent. This turned out to be significantly higher than the remaining two algorithms. This experiment has significant implications for the healthcare industry. Because the use of this method can greatly improve the efficiency of doctors and the diagnosis of breast cancer, so that more people with the risk of breast cancer can be diagnosed and treated in a timely manner. In addition, hospitals can use the study to predict the incidence of breast cancer in a given area of the population.
The Impact of Using the Noorani Qaida on Developing Young Children’s Language Skills at Kindergartens in Al-Ahsa Governorate from the Noorani Qaida Teachers’ Perspective
Authors: Ali Asma Margeni Hussien , Buobaid Sarah Abdullatif
Published: February 2024

The study aims to investigate the impact of using the Noorani Qaida on developing language skills in young children attending kindergartens in Al-Ahsa Governorate from the perspective of Noorani Qaida teachers. To achieve the study's objective, a mixed-method approach was used to diversify data collection methods, including surveys and interviews. The sequential explanatory design was chosen as a type of mixed-methods research. In the first stage, quantitative data were collected through a questionnaire distributed to all the Noorani Qaida teachers in Al-Ahsa Governorate, totaling 30 teachers. In the second stage, qualitative data were collected through interviews with nine teachers to help interpret the quantitative results. The study results indicated that the impact of using the Noorani Qaida on developing language skills in young children attending kindergartens in Al-Ahsa Governorate from the perspective of Noorani Qaida teachers was significant with an average score of 4.07. The impact was highest on listening skills, with an average score of 4.41, followed by reading skills, with an average score of 4.01, both in the high range. Speaking skills ranked third with an average score of 3.99 in the high range. Writing skills ranked lowest with an average score of 3.86, still in the high range. The study recommended implementing the Noorani Qaida in kindergartens.
Assessment of Body Composition in Young Rhythmic Gymnasts
Authors: Mašić Semir , Hodžić Amila , Bouzo Xela Dafauce
Published: February 2024

The primary aim of this study was to examine the body composition of young female rhythmic gymnasts and draw comparative insights from the collected data. Additionally, the results were compared with other studies that shared identical or analogous research objectives. 36 girls divided into three age groups participated in the research: Group 1 (age: 8.57 ± 0.66), group 2 (age: 10.32 ± 0.48) and group 3 (age: 12.90 ± 0.74). Body composition was determined using an octopolar bioelectrical impedance analysis device InBody 370. Among the various variables assessed, the groups exhibited statistically significant differences across most parameters, with exception of body fat (%). Our results, consistent with prior research studies, revealed that our participants also exhibited the characteristic body composition commonly observed in rhythmic gymnastics. These findings suggest that rhythmic gymnastics primarily affects body weight and the percentage of body fat tissue, while also contributing to the development of muscle mass over years of training and sports experience.
A Novel Approach for Air Quality Index Prognostication using Hybrid Optimization Techniques
Authors: Rajagopal Krishnaraj , Narayanan Kumar
Published: February 2024

This research presents an innovative deep learning approach for forecasting the Air Quality Index (AQI), a crucial public health concern in both developed and developing countries. The proposed methodology encompasses four stages: (a) Pre-processing, involving data cleaning and transformation; (b) Feature Extraction, capturing central tendency, dispersion, higher order statistics, and Spearman's rank correlation; (c) Feature Selection, using a novel hybrid optimization model, Particle Updated Grey Wolf Optimizer (PUGWO); and (d) an ensembled deep learning model for AQI prediction, integrating a Convolutional Neural Network (CNN), an optimized Bi-directional Long Short-Term Memory (Bi-LSTM), and an Auto-encoder. The CNN and Auto-encoder are trained on the extracted features, and their outputs are fed into the optimized Bi-LSTM for final AQI prediction. Implemented on the PYTHON platform, this model is evaluated through R^2, MAE, and RMSE error metrics. The proposed HRFKNN model demonstrates superior performance with an R-Square of 0.961, RMSE of 11.92, and MAE of 10.29, outperforming traditional models like Logistic Regression, HRFLM, and HRFDT. This underscores its effectiveness in delivering precise and reliable AQI predictions.
Nutritional status among patients with type 2 diabetes at Nam Dinh General Hospital in 2022
Authors: Pham Van Son , Duong Thanh Tinh , Lai Thi Ha
Published: February 2024

Objectives: To assess nutritional status among patients with type 2 diabetes at Nam Dinh General Hospital in 2022.
Methods: Cross-sectional descriptive study was conducted on 98 patients with diabetes Type 2 at the Outpatient Department of Nam Dinh General Hospital.
Results: Nutritional status among diabetic patients according to 24-hour diet was 61.2% of patients met < 80% of recommended energy needs, 18.4% of patients met < 80 - 100 % of recommended energy needs and 20.4% met more than 100% of recommended energy needs. According to SGA 18.4% of patients with diabetes were at risk of malnutrition, 81.6% had good nutrition.
Conclusion: The nutritional status among type 2 diabetes patients at Nam Dinh General Hospital is quite good. To limit the risk of malnutrition, patients with diabetes need to continue to follow their pathological diet.
Dandismo y juventud
Authors: Pena Pablo
Published: February 2024

En nuestro tiempo sólo una edad está de moda: la joven. Las empresas de la confección seafanan en producir trajes «informales», juveniles, y proliferan los gimnasios y las clínicas de cirugíaestética para borrar las huellas seniles. El prestigio de la juventud comenzó a forjarse en elsiglo XIX. Obsesionado por el sentir particular del individuo, el Romanticismo consagró la personalidad,y como ésta se presenta más compleja e interesante en la adolescencia, en el momentode su desarrollo, consagró la juventud. Según el historiador del traje François Boucher, el dandismoes el Romanticismo en la moda, es decir, la sublimación de la personalidad al vestido. Unsiglo después, las encuestas realizadas por el CIS han demostrado que las personas por debajo delos veinticinco años consideran el vestido como una expresión de la personalidad (cf. nota 3),luego no debe extrañarnos la proliferación de tribus juveniles en nuestras ciudades. Este artículopretende demostrar que el dandismo decimonónico prefiguró el fenómeno de las tribus urbanas,la equivalencia de ambos fenómenos para el análisis sociológico, y el papel del dandismo en laidealización de la juventud que caracteriza a nuestra época.
The Part of Artificial Intelligence in Education
Authors: MAISAIAH NAKKA
Published: February 2024

Unleashing the Implicit Impact of Artificial Intelligence in Education In a period characterized by technological advancements, Artificial Intelligence (AI) has surfaced as a transformative force across colorful diligence, and education is no exception. As classrooms evolve to meet the demands of the digital age, AI is playing a vital part in reshaping the geography of education. This composition explores the profound impact of AI on education, from substantiated literacy gests to intelligent training systems.
Podróż do piekła
Authors: Olszewska Maria
Published: February 2024

Fabuła powieści Drabina Jakubowa albo Podróż toczy się u schyłku XVIII stulecia. Opowiada o tajnej misji odbytej na polecenie Stanisława Augusta Poniatowskiego do cesarzowej Katarzyny II przez dwóch bohaterów: Hrabiego i towarzyszącego mu karła Aleksandra. Wyruszają oni w tajemniczą podróż obfitującą w niebezpieczne i sensacyjne przygody. Podróż ta okazuje się wędrówką w głąb własnej psychiki. Utwór Terleckiego jest powieścią historyczno-psychologiczno-filozoficzną. Jej stylistyka nawiązuje do relacji z podróży, powiastki filozoficznej, horroru i romansów grozy. Tok narracji przerywany jest licznymi dygresjami i rozważaniami filozoficznymi bohaterów, dotyczącymi granic wolności jednostki, moralności władzy czy stosunku człowieka do natury i kultury. W obliczu rzeczywistości carskiej Rosji dochodzi do bankructwa myśli oświeceniowej. Podróż po Rosji ujawnia okrutną prawdę o świecie i człowieku. Terlecki dokonuje rozrachunku z polską historią i obecnymi w niej stereotypami dotyczącymi rozbiorów i stosunków polsko-rosyjskich. Polska staje się w tym ujęciu karłem Europy wchłoniętym przez Rosję. Powieść wyróżnia bogactwo treści dyskursywnych, literackich, historiozoficznych, kulturowych i fabularnych. Utwór nie poddaje się jednoznacznemu odczytaniu.
Władysław Lech Terlecki
Authors: Luterek Tadeusz
Published: February 2024

Artykuł koncentruje się na uporządkowaniu życiorysu Władysława Lecha Terleckiego. Autor wydziela trzy etapy w biografii pisarza, opierając się na jego związkach z kolejnymi miastami, w których żył i pracował. Pierwsza część artykułu poświęcona jest dzieciństwu i wczesnej młodości Terleckiego w Częstochowie (w latach 1933–1951). Autor wymienia wszystkie częstochowskie adresy pisarza, wraz z miejscem, w którym mieszkał w czasie drugiej wojny światowej, co znalazło ślad w utworach pisarza. Autor podkreśla również znaczenie osiemnastoletniego pobytu Terleckiego w Częstochowie dla dalszej aktywności twórczej pisarza oraz wylicza jego literackie powroty do rodzinnego miasta (motywy częstochowskie w prozie Terleckiego). Następny okres omówiony w artykule przypada na lata 1951–1958. To czas, w którym pisarz studiował na wrocławskiej polonistyce, a co za tym idzie – początek jego aktywności literackiej i publicystycznej. Jako trzeci etap w biografii Terleckiego przywołany zostaje jego związek z Warszawą w latach 1958–1999.
Profil Penyakit Kulit Penduduk Perkampungan Terapung Kepulauan Tihi-tihi dan Selangan, Bontang, Kalimantan Timur, Indonesia
Authors: Santoso Fenny Leets , Anwar Anis Irawan , Tabri Farida , Amin Safruddin , Adriani Anni , Idrus Idrianti , Arsyad Andi Anwar
Published: February 2024

Introduction: Tihi-tihi and Selangan Islands, floating village areas in Bontang, East Kalimantan, are remote areas in Indonesia, which can only be accessed by sea route. The research was conducted to describe skin diseases in those islands. Method: Retrospective observational cross-sectional and descriptive analysis study on floating communities in Tihi-tihi and Selangan Island, Bontang Lestari Village, South Bontang District, Bontang City, East Kalimantan, Indonesia. Results: The study was conducted on 95 subjects, mostly female (53%), and the largest age group was 26-45 years (29%), followed by the 5-11 years group (24%). Skin infection diseases (58.96%) were dominated by scabies (67.9% of the skin infection disease group). The second highest was allergic contact dermatitis (41%) from the non-infection group. There is an association between age and disease group (p<0.05), with an odds ratio of 3.164. Conclusion: Skin diseases in Tihi-tihi and Selangan Islands are dominated by scabies, followed by allergic contact dermatitis. The pediatric age group is at a three-fold greater risk of developing skin infections than non-infection skin diseases.
DIGITAL ECONOMY AND RURAL DEVELOPMENT (ON THE EXAMPLE OF SERBIA)
Authors: Bukvic Rajko , Nikolenko Polina , Bocharov Vladimir
Published: February 2024

The foundations for the use of ICT in Serbia have already been laid, but the e-business process is not yet well developed. Systematic studies of the impact of the Internet and ICT on competition have not yet been conducted, but the rapid development of these activities as the fastest growing in the Serbian economy indicates that the competition of firms using ICT is quite strong. However, there is a significant difference in the availability of ICT technologies in urban and rural settlements and indicates that digital inequality has not yet been overcome and that all assumptions regarding the (expected) impact of the Internet and the digital economy on faster rural development have not been made. For this reason, it is necessary not only to have a well-thought-out agricultural policy, but also to stimulate the availability of ICT throughout the country, especially in rural areas.
РАЗРАБОТКА СТРАТЕГИИ УЛУЧШЕНИЯ ИСХОДА ТРАВМ В УСЛОВИЯХ ОТДЕЛЬНО ВЗЯТОГО РЕГИОНА РОССИИ (ПИЛОТНЫЙ ПРОЕКТ)
Authors: Колесников А.Н. , Албакова З.А. , Поляхова Ю.Н.
Published: February 2024

По мере развития систем неотложной помощи во всем мире, независимо от страны или обстановки, наблюдается общая нехватка обзорной литературы, оценивающей инструменты догоспитальной сортировки, используемые в настоящее время во всем мире. Единственным всеобъемлющим исследованием методов догоспитальной сортировки на сегодняшний день является систематический обзор 2013 года, в котором оценивались результаты на уровне пациентов, связанные с валидированными системами догоспитальной сортировки [1]. Несмотря на просмотр более 11 000 уникальных названий и рефератов и выполнение 120 полнотекстовых обзоров, мы не нашли исследований, которые бы соответствовали критериям включения, которые требовали, чтобы инструмент сортировки подвергался прямому сравнению с альтернативным инструментом или без сортировки. Следовательно, необходимы дополнительные исследования, чтобы лучше понять состояние догоспитальной сортировки в медицине неотложных состояний и выявить актуальность в разработке новой и упрощенной системы.
ИНСТРУМЕНТЫ ОЦЕНКИ БОЛИ У МЛАДЕНЦЕВ: МЕТАОБЗОР
Authors: Протасова С.А. , Колесников А.Н.
Published: February 2024

На протяжении многих лет в неонатологии существовало ошибочное представление о том, что новорожденные дети не чувствуют боль так же остро, как взрослые, и, как следствие, лечение боли в неонатальной практике и оценка ее отдаленных исходов долгое время не получали должного внимания. При этом боль, особенно у глубоко недоношенных детей, может способствовать нарушению развития головного мозга. Объективная оценка боли у новорожденных детей сопряжена с трудностями, связанными с возрастными особенностями и невозможностью пациентом самостоятельно указать на существующую проблему. В работе представлены различные шкалы оценки боли у младенцев, их интерпретация и возможность их использования в современной практике
Nghiên cứu thành phần hóa học phân đoạn chloroform từ lá Cỏ lào (Chromolaena odorata L., Asteraceae)
Authors: Đoàn Thành Luân  , Nguyễn Đăng Huy  , Bùi Hoàng Minh  , Lưu Huỳnh Ngọc Dũng
Published: February 2024

Từ 3kg lá cỏ Lào (Chromolaena odorata L.) thu hái tại quận 2, Tp. Hồ Chí Minh, bằng kĩ thuật chiết tách đã thu được 90,22g phân đoạn CHCl3. Phân đoạn này được tách thành 7 phân đoạn phụ bằng sắc kí cột nhanh, trong đó có 3 phân đoạn xuất hiện kết tủa. Bằng kĩ thuật kết tinh phân đoạn thu được 3 chất C1 (144,2mg), C2 (40,0mg), C3 (129,3mg). Dựa vào các dữ liệu phổ (Mass spectrum - MS, Nuclear Magnetic Resonance- 1D-NMR và 2D-NMR), cấu trúc của các chất này được xác định lần lượt là C1 (Quercetin 7,4’ – dimethylether hay Ombuin), C3 (5, 7 – dihydroxy 3’, 4’ – dimethoxyflavon). Riêng C2 vẫn tiếp tục được xác định cấu trúc. Đồng thời, vẫn còn nhiều phân đoạn phụ tiềm năng từ sắc kí cột nhanh phân đoạn CHCl3
Analisis faktor-faktor yang Mempengaruhi Pemilihan Platform Marketplace Akibat Penutupan Tiktok Shop: Studi Kasus Gen Z di UPI Kampus Tasikmalaya
Authors: Miizan Nur Qisthi  , Adam Pratama Yudya Putra  , Muhammad Athallah Khairi Arief  , Rafaeza Athhar Ramadhan  , Laras Bellaning Restu  , Adi Prehanto  , Asep Nuryadin
Published: February 2024

This research explores the factors influencing consumers to switch from TikTok Shop to other marketplace platforms. Based on interviews with five respondents, it was found that cheaper prices, discounts and promotions, and features similar to TikTok Shop are the main factors influencing their decisions. These findings provide new insights into consumer behavior in choosing marketplace platforms, especially in the context of the closure of TikTok Shop.

Keywords: TikTok Shop, marketplace platforms
PENGARUH DIGITAL MARKETING DAN BRAND IMAGE TERHADAP INTENSI PEMBELIAN PRODUK KECANTIKAN EMINA
Authors: Rika hasanah  , Siti maryam
Published: February 2024

Technological advances sharpen competition in the beauty industry and force companies to always innovate to remain competitive. This research aims to analyze digital marketing and brand image on purchasing intentions for Wardah Beauty products. This research uses a survey research model. The research results show that digital marketing and brand image have a significant effect on purchasing intentions. This research also proves that digital-based marketing activities through social media are very effective. This research only focuses on two variables, namely digital marketing and brand image.
PENERAPAN SISTEM AKUNTANSI PADA PT LAPAK NIAGA GROUP
Authors: O  Feriyanto  , Syahrul ramdani  , M deva fadilah  , Putri asiyah  , Iis rahmawati
Published: February 2024

The accounting information system in the accounting cycle stages is part of the overall accounting information system designed and implemented by the company. An effective accounting information system is also very important for the long-term success of a company. PT. Lapak Niaga Group is a company that operates in the manufacturing sector, namely producing curtains, bed sheets and bed covers. Judging from its business activities, PT. Lapak Niaga Group is a complex business entity so it requires a good accounting information system to support its activities. The purpose of this research is to find out how best to implement the Accounting Information System in the accounting cycle at PT. Lapak Niaga Group runs according to correct procedures. The research approach used in this research is qualitative, with the scope covering PT. Lapak Niaga Group as the object and subject of research are the parts involved in the company's accounting system. The unit of analysis in this research is the implementer of the income accounting system at PT. group trading stall. From this research it can be concluded that the application of the Accounting Information System in the Revenue cycle at PT. Lapak Niaga Group is not yet fully capable. This can be seen from the fact that there are still multiple roles played by several functions in the organization. The most striking dual role is in the accounting department where in the company the cashier functions as cash receiver, recorder and report preparer.
PENERAPAN SISTEM AKUNTANSI PADA PERUSAHAAN “KEBAB BOSMAN”
Authors: Nurhayati nurhayati  , Salma azhar fadhillah  , Shafira nuraeni damayanti  , Alifa azzahra  , Helda putri aryana  , O.Feriyanto
Published: February 2024

An accounting information system is a system used to process financial data into information that is useful for management, planning and decision making for both internal and external users in the company. Accounting information systems have an important role for the long-term success of a company. Kebab Bosman is a company that operates in the F&B (Food and Beverage) sector, a type of business that focuses on the food and beverage sector or in Indonesian it is also called culinary business or business. The purpose of this research is to find out how the accounting system is used at Kebab Bosman. The method used in this research is qualitative, a method that focuses on in-depth observation. The object of this research is Kebab Bosman and the subjects of the research are the parts involved in the accounting system. Data collection techniques use observation and interviews. Based on the research results, it can be concluded that the implementation of the accounting system at Kebab Bosman has not completely gone well. This can be seen from the dual role (dual work) experienced by one of the employees.