bluuebunny/crossref_metadata_2025 huggingface dataset:
A novel hybrid sustainable healthcare supply chain model for patient safety: A case study of Cambodia
Authors: Kanokphanvanich Chayada , Rattanawong Wanchai , Vongmanee Varin
Published: February 2024

This research focuses on elucidating the attributes of a Sustainable Healthcare Supply Chain (SHSC) that play a pivotal role in enhancing patient safety, particularly in developing nations. Patient safety in healthcare supply chains is paramount, particularly in the face of inherent risks and vulnerabilities associated with disruptions and uncertainties. A hybrid selection model, integrating factor analysis, structural equation modeling (SEM), and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), is introduced to rank these attributes. Twenty-two SHSC attributes are categorized into four facets: social, environmental, economic, and technological. A survey conducted across five Cambodian provinces gathered 361 valid responses from healthcare professionals, forming the basis for a structural SHSC model. This model is subsequently implemented in a Phnom Penh tertiary hospital. The findings underscore the imperative of incorporating patient safety considerations into healthcare supply chains. The hybrid selection model helps healthcare leaders figure out what factors are most important for patient safety and rank them. This gives them information they need to come up with effective strategies and long-lasting projects. The study's outcomes provide actionable insights for healthcare stakeholders. The multi-analytical approach of the model offers a comprehensive perspective to address supply chain challenges, reduce extraneous costs, and minimize environmental footprints. In essence, the effective implementation of sustainable healthcare supply chain strategies not only enhances care quality and fortifies patient safety but also aligns with the broader objectives of healthcare entities.
PENGETAHUAN PENCEGAHAN KEPUTIHAN ABNORMAL (FLOUR ALBUS) PADA REMAJA PUTRI
Authors: Husna Nurul , Ramie Agustine , Marwansyah Marwansyah
Published: February 2024

Pendahuluan:  Keputihan merupakan salah satu masalah yang sejak lama menjadi persoalan bagi kaum perempuan. Keputihan atau Flour Albus gejala yang sangat sering dialami oleh sebagian besar perempuan. Gangguan ini merupakan masalah kedua sesudah gangguan haid. Keputihan seringkali tidak ditangani dengan serius oleh para remaja putri. Keputihan bisa jadi indikasi adanya penyakit serius. Tujuan: Penelitian ini bertujuan mengidentifikasi pengetahuan pencegahan keputihan abnormal (flour albus) pada remaja putri. Metode: Penelitian ini menggunakan metode deskriftif dengan populasi siswi SMAN 1 Martapura sebanyak 376 orang dengan besar sampel 194 responden, dipilih secara proportional stratified random sampling dan data dikumpulkan menggunakan kuesioner dan dipresentasikan menggunakan tabel distribusi frekuensi. Hasil: Hasil penelitian menunjukkan bahwa mayoritas responden memiliki pengetahuan cukup tentang pencegahan keputihan abnormal (Flour Albus) yaitu sebanyak 51%, pengetahuan tentang penggunaan pakaian dalam dengan kategori cukup sebanyak 74.7%, pengetahuan merawat genitalia mayoritas kategori cukup sebanyak 86.1%, pengetahuan penggunaan cairan pembersih genitalia mayoritas cukup sebesar 78.4% dan pengetahuan penggunaan pantyliner mayoritas cukup sebanyak 68%. Kesimpulan: Pengetahuan pencegahan keputihan abnormal (Flour Albus) pada remaja putri kategori cukup. Saran: penyuluhan kesehatan secara berkala terkait kesehatan reproduksi remaja dan spesifik dalam pencegahan terjadinya keputihan yang abnormal melalui kegiatan UKS (usaha kesehatan sekolah).
HUBUNGAN ANTARA PERSEPSI ANCAMAN TERHADAP KESEHATAN DENGAN TINGKAT KEPATUHAN MINUM OBAT PADA PENDERITA TB PARU
Authors: Hidayat Taufik , Firdhania Nursyifa
Published: February 2024

Pendahuluan : Keberhasilan pengobatan TBC sangat ditentukan oleh kepatuhan penderita minum obat secara teratur akan tetapi sebagian besar penderita berpresepsi bahwa penyakit TBC bukanlah penyakit yang berbahaya. Tujuan: Penelitian ini untuk mengetahui hubungan antara persepsi ancaman terhadap Kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Metode : Penelitian ini bersifat deskriptif analitik dengan desain Cross Sectional sebanyak 30 orang responden penderita TBC menggunakan metode total sampling. Instrumen menggunakan kuesioner ancaman yang telah dimodifikasi berjumlah 10 pernyataan dan kuesioner Morisky Medication Adherence Scale (MMAS) 8 pernyataan. Hasil : Penelitian ini menunjukkan bahwa ancaman kategori baik, yaitu sebanyak 21 orang (70.0%), kepatuhan paling banyak berada dalam kategori rendah yaitu sebanyak 17 orang (56.6%). Uji korelasi Spearman Rho didapatkan hasil p = 0,486 yaitu tidak ada hubungan yang signifikan antara persepsi ancaman terhadap kesehatan dengan tingkat kepatuhan minum obat pada penderita TBC di wilayah kerja UPT Puskesmas Babirik. Saran : Dapat dilakukan penelitian lain untuk mencari faktor yang berhubungan dengan kurangnya tingkat kepatuhan minum obat pada penderita TBC.
Pengetahuan Dewasa Muda Tentang Gizi Seimbang Untuk Mencegah Penularan Covid-19
Authors: Riska Najudinda Anggi , Irianti Dewi , Ramadhan Indah , Restu Pertiwi Melinda
Published: February 2024

Latar belakang : Gizi seimbang pada masa pandemi Covid-19 sangat penting bagi pola hidup manusia karena dengan mengkonsumsi gizi seimbang maka masyarakat dapat menjaga kesehatan sehingga virus tidak mudah masuk kedalam tubuh dan dengan itu dapat memutuskan rantai penyebaran virus Covid-19. Penelitian ini bertujuan untuk melihat gambaran pengetahuan dewasa muda tentang gizi seimbang untuk mencegah penularan Covid-19 di Desa Salam Babaris Kabupaten Tapin Tahun 2021.
Metode : Penelitian ini merupakan metode deskriptif dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah  Dewasa Muda (usia 20 – 40 tahun) dengan jumlah 668 orang. Sampel berjumlah 87 responden menggunakan simple random sampling, menggunakan kuesioner.
Hasil : Hasil penelitian mayoritas responden memiliki Pengetahuan baik yaitu (64,4%), mayoritas responden berpengetahuan baik tentang pengertian gizi seimbang yaitu (60,9%), mayoritas responden berpengetahuan baik tentang zat-zat yang terkandung dalam gizi seimbang yaitu (54,0%), mayoritas responden berpengetahuan baik tentang pola makan dalam memenuhi gizi seimbang yaitu (62,1%) dan mayoritas responden berpengetahuan cukup tentang Pencegahan Covid-19 dengan gizi seimbang yaitu (59,8%).
Kesimpulan : Penelitian ini menghasilkan kesimpulan bahwa dewasa muda di Desa Salam Babaris sudah memiliki pengetahuan yang baik terkait gizi seimbang untuk mencegah penularan Covid-19.
Hubungan Motivasi Keluarga Dengan Kepatuhan Minum Obat Pasien Tb Paru
Authors: Media Caesariai Nanda
Published: February 2024

Pendahuluan Penyakit Tuberkolosis (TB) Paru merupakan penyakit infeksi dan menular yang disebabkan oleh mycobacterium tuberculosis. Istilah kepatuhan didiskripsikan dengan sejauh mana pasien mengikuti instruksi-instruksi terhadap pengobatan dapat didefinisikan sebagai tingkat ketaatan pasien yang memiliki riwayat pengambilan obat terapeutik terhadap resep pengobatan. Beberapa faktor yang memperngaruhi kepatuhan salah satunya adalah motivasi. Motivasi adalah suatu keadaan psikologis tertentu dalam diri seseorang yang muncul oleh karena adanya dorongan tertentu. Penelitian ini bertujuan mengetahui hubungan motivasi keluarga dengan kepatuhan minum obat pada pasien Tb Paru di Puskesmas Karang Intan 1
Metode : Penelitian ini menggunakan desain penelitian analitik korelasi dengan pendekatan cross sectional. Sampel pada penelitian diambil dengan metode aksidental sampling sebanyak 32 orang keluarga penderita Tb Paru di wilayah Puskesmas Karang Intan 1. Data dianalisa melalui uji statistik Chi-square
Hasil: Hasil penelitian menunjukkan  adanya hubungan antara motivasi nilai p = 0,000 dengan kepatuhan minum obat pasien Tb Paru di Puskemas Karang Intan 1
Kesimpulan : Keluarga disarankan dapat memberikan motivasi agar penderita meningkatkan kepatuhan dalam minum obat
Issue-based learning in medical training: report of experience of monitor of the INTA University Center, UNINTA
Authors: Ponte Raigor Mesquita Aguiar , Coutinho Ana Beatriz Alcântara , Carneiro Ana Glyssia Araújo , Fitaroni Anna Caroline V A M , De Sousa Andreza Freitas , De Oliveira Amanda Araújo , Bezerra Bruna Ferreira , Magalhães Camila Milfont Gualberto , Monteiro Cecília Uchoa , De Sá Neto Francisco Hildson , Olimpio Geovanna Mendes , Coelho Jordan Martins , Aguiar Neto José , De Azevedo Leonardo Jacome , Bem Maria Izabel Roriz Couto , Costa Marine Praciano , Evangelista Nayme Martins , Batista Nicole Alves Cavalcante , De Queiroz Sarah Cunha , Melo Yasmim Pontes , Ponte Goldamey Moreira Mesquita
Published: February 2024

This article explores the implementation of the issue-based learning methodology in the Physiology discipline of the INTA University Center (UNINTA), emphasizing the enriching experience of students and monitors. Medical physiology, crucial for understanding the basis of pathophysiology, connects basic sciences to medical practice. Monitoria, as a pedagogical tool, seeks to introduce students to the teaching profession and to stimulate the exchange of knowledge. In the methodology, monitors deepened in themes, elaborating objective and open questions to stimulate critical reasoning, focusing on physiological contextualization in clinical practice. Questions were validated by the advisor. Results highlight a gradual increase in adherence to the method, overcoming initial resistance. Teacher collaboration and forms via Google Forms with automatic feedback were essential. The conclusion is that issue-based learning promoted in-depth learning and positive academic outcomes. The monitoring proved valuable, broadening the students-monitors' perspective on the studied content, contributing to comprehensive learning.
Spirituality and volunteering in soft skills development
Authors: Lopes-Junior Derson da Silva , Milani Filho Marco Antônio Figueiredo , Hayashi Junior Paulo , Torriani Tristan Guillermo
Published: February 2024

This paper analyses the main relationships between the perception of spirituality, participation in volunteer projects and the development of soft skills. 309 questionnaire forms were applied and the method of multivariate analysis of linear regression was used. Relevant relationships were found between the constructs. The variable related to learning proved to be decisive for the decision to participate in volunteer projects, demonstrating the interest of volunteers in this type of development. In addition, the higher level of personal spirituality, according to the respondent's perception, favours the development of soft skills, in addition to active participation in volunteering, not occasional, but frequent and systematic, preferably weekly. On the one hand, the company can stimulate spirituality passively or actively. On the other hand, the company can allow, encourage and even promote weekly participation in volunteer projects. Faced with the need for organizations to develop Soft Skills, this work contributes to the proposal of alternative ways to increase these skills, in view of the perception that courses and business schools have not achieved this objective. Results can also contribute to society by demonstrating that the effort to meet the needs of others can bring individual benefits to those who dedicate themselves to this task.
France: Emerging stronger from the pandemic
Authors: Blua Philippe
Published: February 2024

Improving supply chain efficiency In 2009, for fear of H1N1 flu epidemic, the Health Minister proceeded into the purchase of huge amounts of masks and vaccines. Fortunately, that epidemic proved to be less severe than what was anticipated, and as a result the vast majority of the supplies were idle. Under the harsh criticism of the Press against the misuse of public resources, all the following health ministers were hesitant to maintain sufficient stocks of medical equipment.
Tumor Retroperitoneal: Experiencia de 5 años en Hospital Clínico Quirúrgico Hermanos Ameijeiras (2018-2022)
Authors: Mendez Canales Elsa Raquel , Ariza Acuña Daniela , Jiménez Reyes Sonia , Fernández Llipsy
Published: February 2024

Introducción: Los tumores en el retroperitoneo son enfermedades neoplásicas atípicas, es común que los pacientes comiencen a manifestar síntomas cuando dicha enfermedad se encuentra en un estadio avanzado. El retroperitoneo está conformado de una amplia diversidad de órganos y tejidos blandos, por lo tanto, el origen histológico de estos tumores puede ser variado, esto marca un punto de partida para establecer múltiples diagnósticos diferenciales. OBJETIVO: Evaluar y analizar la experiencia de 5 años en el manejo de tumores retroperitoneales en el Hospital Clínico Quirúrgico Hermanos Ameijeiras. Métodos: Se efectuó un estudio descriptivo retrospectivo que incluyó los pacientes diagnosticados con tumor retroperitoneal captados por el departamento de cirugía general del Hospital Clínico Quirúrgico Hermanos Ameijeiras en el periodo 2018-2022. Resultados: Esta serie incluyó 17 pacientes. La mediana de edad fue de 54 años con un 64% mujeres. La tomografía abdominal fue el principal método de imagen utilizado. El tipo histológico más frecuente fue el sarcoma. El 70.5% fueron descritos como resección quirúrgica completa, se realizó nefrectomía en el 23.5% de los casos. Se presentaron complicaciones intraoperatorias en el 41% de los pacientes. El 41% de los pacientes recibieron neoadyuvancia. El análisis de supervivencia pudo realizarse solamente en el 82.3% de la muestra. Conclusión: Los tumores retroperitoneales son una enfermedad atípica, cuyo diagnóstico es realizado de manera incidental o cuando esta ha progresado a una etapa avanzada. Su pronóstico y tratamiento se dificulta debido al índice de recurrencia característico de este padecimiento. La resección quirúrgica completa es el único tratamiento curativo debido a la pobre respuesta de esta enfermedad a la quimioterapia. La colaboración entre los servicios de cirugía, oncología, radiología y patología conforman el pilar más importante para determinar un pronóstico favorable hacia los pacientes.
Síndrome de Wunderlich en Paciente con Riñón Único
Authors: Castro Bac Juan Francisco , Petersen Juárez Erick Stanley , Pérez Chun Sergio
Published: February 2024

INTRODUCCIÓN: El Síndrome de Wunderlich o Hemorragia retroperitoneal espontanea, confinada al espacio peri renal o subcapsular, descrita por primera vez por Carl Reinhold August Wunderlich en 1856, es una entidad poco común y de etiología diversa. (1) Aproximadamente el 85% de los casos están relacionados a tumores renales, principalmente Angiomiolipomas (AML) y Carcinoma Renal. (2).  Otras causas pueden ser: pielonefritis, quistes renales,  aneurismas renales, vasculitis, entre otros.  (1).  OBJETIVO: Presentar el caso de paciente femenina de 43 años con riñón único, que fue diagnosticada con hemorragia perirrenal espontanea secundaria a Angiomiolipoma renal en nuestra institución, patología con poca información de referencia de su manejo en pacientes con riñón único. CONCLUSIÓN: Podemos sugerir el tratamiento conservador en pacientes con hemorragia retroperitoneal con estabilidad hemodinámica.
Características Clínicas Asociadas en la Formación de Fragmentos Prostáticos no Morcelables en Pacientes Tratados con Enucleación Prostática con Láser Holmio
Authors: Castillo Godínez Evelyn Susana , Cruz Nuricumbo Eduardo , Esqueda Mendoza Antonio , Flores Tapia Juan Pablo , De la Rosa Barrera Hugo
Published: February 2024

Objetivo: Describir la asociación de la edad, el volumen prostático pre-operatorio, el antígeno prostático total específico, el antecedente de diabetes mellitus tipo 2 y la hipertensión arterial sistémica con el riesgo de formación de los fragmentos no morcelables durante la enucleación prostática con láser holmio. Material y Métodos: Se extrajeron los datos de la base de datos del Servicio de Urología del Hospital Regional de Alta Especialidad de la Península de Yucatán. Las variables que se analizaron son: edad, antecedente médico de hipertensión arterial sistémica y diabetes mellitus tipo 2, volumen prostático prequirúrgico, antígeno prostático total específico prequirúrgico y la formación de fragmentos de adenoma prostáticos no morcelables llamados ‘’Beach Ball’’. Estudio observacional, retrospectivo, transversal y descriptivo. Resultados: Se analizaron 43 pacientes. La edad media fue de 69 años. Se evidenció que el 32% de los pacientes operados con HoLEP formaron Beach Ball. Las variables asociadas a elevar el riesgo de formar dichos fragmentos de adenoma prostático no morcelables son; volumen prostático ≥ 65 cc, antígeno prostático ≥ 4 ng/ml y edad ≥ 65 años. Conclusiones: Nuestra incidencia de la formación del efecto llamado ‘’Beach Ball’’ fue de un 33%.  Los pacientes con volumen prostático de ≥ 65 cc o más tuvieron 5 veces más riesgo de formar ‘’Beach Ball’’. Los pacientes con antígeno prostático total ≥ 4 ng/ml tienen 2.53 veces más este riesgo’. Y por último los pacientes de ≥ 65 años tienen 1.52 veces más dicho riesgo.
Land leveling and cover cropping impacts on chemical and biological properties of paddy soil
Authors: Izadpanah Masoumeh , Shabanpour Mahmoud , Abrishamkesh Sepideh , Bagheri Iraj
Published: February 2024

Aim of study: To examine the impact of solitary land leveling and its combination with cover cropping on the chemical and biological characteristics of paddy soil. Area of study: This research focused on paddy fields located in Guilan Province, situated in northern Iran. Specifically, two sites were chosen for investigation, where land leveling had been conducted 5 years and 2 years prior to this study, respectively. Furthermore, cover cropping was implemented during the second year after the latter area's land leveling. Material and methods: A total of 80 composite soil samples were collected, with 20 samples gathered from both leveled and unleveled plots at the designated study sites. Various soil chemical and biological properties such as organic carbon, total nitrogen, available phosphorus, exchangeable potassium, microbial respiration, and biomass carbon were quantified. Subsequently, a paired t-test was employed to analyze the impact of land leveling and the combined effects of land leveling with cover cropping on soil attributes. Main results: The study revealed that five years after land leveling, there was a significant decrease in organic carbon, total nitrogen, microbial respiration, and biomass carbon. In contrast, the area leveled and cover cropped for two years exhibited higher levels of these attributes compared to adjacent unleveled parcels. Research highlights: This study highlights the distinct effects that solitary land leveling and land leveling combined with sustainable practices like cover cropping have on soil attributes.
Design and hazard solving of five-stage pipeline RISC-V processor structure
Authors: Qin Zhongyang
Published: February 2024

Benefiting from its late arrival, the RISC-V architecture capitalizes on the maturity of computer architecture technology achieved through years of development. This allows the RISC-V design to sidestep issues that have been exhaustively examined during the evolution of computer architecture over time. Adhering to a specific sequence for executing instructions with a CPU results in extended processing durations. However, in a pipelined architecture, the execution of one instruction doesn't disrupt the synchronized progression of other instructions. The introduction of a pipeline structure can improve processor speed, performance, throughput, and so on. In this paper, the pipeline structure is divided into five stages: fetch, decode, execute, memory and write back. It uses registers to solve the possible hazards of pipelining. The central processing unit employs the RISC-V RV32I foundational integer instruction set architecture. This paper used Verilog language to design, and Vivado simulation environment to simulate the design. The pipeline structure is simulated successfully, including R, I, B, and J type instructions, and the structure hazard, control hazard, data hazard, and other three hazards are also successfully solved.
Utilizing machine learning techniques for network traffic anomaly detection
Authors: Li Xiang , Shi Guojun , Wu Yuxin
Published: February 2024

The landscape of network traffic anomaly detection has evolved considerably in recent times, driven largely by the advent of pioneering algorithms. This article undertakes an exhaustive comparative exploration of some of the most contemporary algorithms, namely Prophet, Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Isolated Forest (IF), and OmniAnomaly. Delving deep into their distinctive features, functionalities, and practical applications, the paper sheds light on the factors that render these algorithms superior to their predecessors. The discourse commences with a prologue underscoring the escalating importance of network traffic anomaly detection, especially in the face of the burgeoning cyber threats of the modern era. This sets the stage for a presentation on the focal algorithms - Prophet, RNN, CNN, IF, and OmniAnomaly. Each algorithm is then dissected to provide readers with a nuanced understanding of its underlying mechanics and methodologies. Furthermore, the discourse amplifies the breakthroughs and innovations underpinning each algorithm, highlighting attributes such as heightened accuracy, lucid interpretability, proficiency in deciphering intricate patterns, and the agility to detect anomalies in real time. Factors like computational agility, resilience, structural intricacy, and versatility across varied operational terrains are assessed in a meticulous comparative framework. Drawing from empirical evidence available in extant literature, the article underscores the stellar performance of these algorithms, benchmarked using quantitative metrics like precision.
Research on face expression image recognition based on Convolutional Neural Network
Authors: Jiang Junhan
Published: February 2024

The recognition of facial expressions is a significant field of study within computer vision, which has a multitude of practical applications in areas such as human-computer interaction, affective computing, and social robotics. The present study offers a thorough examination of the recognition of facial expression images through the utilisation of Convolutional Neural Networks (CNNs). The aim is to categorise facial expressions in challenging lighting scenarios through the utilisation of Convolutional Neural Networks (CNNs), which possess the capability to acquire intricate features directly from unprocessed image data. The present study introduces an innovative method for facial recognition through the proposal of a revised architecture for Convolutional Neural Networks (CNNs). The primary improvement pertains to the incorporation of two normalisation procedures into particular layers of the network. The utilisation of batch normalisation, a commonly employed normalisation technique, serves to expedite the performance of the network.
Stock price prediction using decision tree classifier and LSTM network
Authors: Xu Hongyi
Published: February 2024

Nowadays, stock price prediction has become a popular research topic, many researchers try to predict stock prices in various ways. However, there are many different tools, but not all of them have good performance, so it is necessary for researchers to evaluate and compare different tools. In this paper, to achieve the goal of predicting stock price precisely, the main approach chosen is building deep learning models and use them to make predictions. Two methods, decision tree and long short-term memory (LSTM) neural network, are used in this study. In the model using the decision tree classifier, the daily state of the stock is divided into two types: the rise and fall of the stock price. The task of the model is to make predictions about daily stock prices and classify them. The other model uses the LSTM network, which is used to make accurate closing price predictions. In the end, the performance of the two models is assessed for further work.
Design, refinement, and enhancement of FPGA-implemented UART circuitry
Authors: Li Zhangchi
Published: February 2024

This article provides an overview of the universal asynchronous receiver/transmitter, commonly referred to as Universal Asynchronous Receiver/Transmitter (UART). The UART stands as a noteworthy exemplar of a serial communication protocol, facilitating the exchange of data within a serial connection while accommodating full-duplex communication. The architecture of the UART hinges upon three principal constituents: the transmitter, the receiver, and the baud rate generator, the latter essentially a frequency divider. Each of these elements is meticulously crafted using the Verilog hardware description language, thereby ensuring distinct and efficient design. Furthermore, this discourse delves into refined iterations of these implementations. For instance, it introduces the concept of a baud rate self-adaptive function and expounds upon multibyte transmission techniques. In a concerted effort to streamline circuit design and curtail the electro circuit's footprint, a deliberate decision is made to forgo the integration of a parity check module. Consequently, the chosen data format is the widely adopted 8N1 (8 data bits, 1 stop bit and no parity bit) configuration.
A review of virtual reality technology
Authors: Wu Xingrui
Published: February 2024

Virtual reality technology (VR) is a computer simulation system that can create and experience virtual worlds. It utilizes computers to generate a simulated environment, allowing users to immerse themselves in the environment. Virtual reality technology has been one of the fastest-developing information technologies in recent years. It, along with multimedia technology and network technology, is known as the three most promising computer technologies. As an emerging science and technology, it has been less than 100 years since its emergence, and there is still great room for development in its theory and practical application. This article focuses on virtual reality technology and its applications, based on existing literature and statistical data. The main content includes its advantages, characteristics, technical composition, development history, and applications in different directions. The development process of virtual reality technology is not long, but it has unique advantages and technologies specifically serving it. It does not require much physical participation and has positive implications in applications such as education, entertainment, and healthcare. Its future direction will be towards replacing real hardware with virtual hardware, becoming more practical, intelligent, and refined.
Deep learning in multiplayer online battle arena games
Authors: Wu Hankang
Published: February 2024

Multiplayer Online Battle Arena games, known as MOBA in abbreviation, are developing rapidly, and more and more new players are growing interests to it. But some parts of these games are quite complicate for those beginners, such as how to pick appropriate champions, how to choose suitable items for purchasing, what is the win rate for current game session and how to make correct strategy decisions. This paper summarized some works, that can help players to solve those complicate parts and understand the game well, using machine learning and deep learning models. These works have all proved their feasibility according to either their result comparing with other baseline methods, or simulating some game sessions played by or against AI using their champion picking, item purchasing and strategy making suggestions. There are also some limitations of these works and some improvements of using machine learning and deep learning in MOBA game industry mentioned in this paper.
Dense-connected Stacked Hourglass Networks for Human Pose Estimation
Authors: Liu H. , Ding C.
Published: February 2024

The main idea of this project is to try to improve the accuracy of human pose estimation in previous models. The new model proposed is based on the Stacked Hourglass Network with new structures added. The new structures ensured that the preservation of features of the original data by adding connections across the network, which we refer to as a Dense-connected Stacked Hourglass network, and we expected the new structure and the feature preserved could be helpful in the later stages because the Stacked Hourglass network pools down to very low resolution, during which important information may be lost. The data sets used in the project are MPII Human Pose and FLIC (Frames Labelled in Cinema). The final results show that the proposed architecture is able to improve the estimation accuracy to certain extend in identifying head, wrist and hip, while further studies on the architecture and improvements are still required.
Design and implementation of a preset operational amplifier based on basic digital and analog hybrid circuit
Authors: Zhao Sihan
Published: February 2024

In the vast landscape of electronic engineering, the indispensable roles of both analog and digital circuits are unequivocally recognized. Analog circuits, with their foundational principles, are extensively harnessed in areas encompassing audio, video, power systems, and particularly, amplifiers. Conversely, digital circuits, integral to modern-day technological advancements, are dominantly present in computing platforms, telecommunication systems, control mechanisms, and data storage infrastructures. Amplifiers, a cornerstone in analog circuit designs, principally focus on magnifying the amplitude of input signals, whether it be in terms of voltage or current. This amplification process hinges on the strategic configuration of electronic elements such as transistors, resistors, and capacitors. This paper endeavors to marry the attributes of digital and analog circuits. Through the adept utilization of fundamental electronic components, an innovative amplifier design capable of preset amplification ratios is birthed. The practicality and efficacy of this amplifier are rigorously validated via its hands-on assembly and experimental testing in a laboratory setting. Results consistently underscore the amplifiers adeptness in delivering precise signal amplification, conforming to its predetermined ratios. Such a design, rooted in its simplicity yet offering profound versatility, beckons further exploration. It stands as a beacon for potential future adaptions, tailored to suit a gamut of applications, and is poised to seamlessly dovetail into more sophisticated circuit systems.
Application of cloud computing technology in enterprise resource management
Authors: Wang Ziqi
Published: February 2024

The progress of intelligent manufacturing has made enterprise resource planning (ERP) an essential core technology in the field of intelligent manufacturing. In the process of technology development, enterprises have been looking for a more optimized ERP architecture, and cloud-based ERP is one of the practical and efficient solutions. However, for the application of cloud computing in ERP, the current summary analysis based on this field is not comprehensive enough. In this paper, a comprehensive examination of the real-world implementation of cloud computing in ERP is conducted. It delves into the practical utilization and transformation of service-oriented architecture (SOA) and Model View Controller (MVC) within the context of ERP, while also providing an overview of the merits and drawbacks of SOA technology. At the same time, it summarizes the concept of layering and the practical application of cloud computing in different layers for human resource management system of enterprises. In addition, this paper summarizes the practical applications and development prospects of cloud computing in enterprise resource management, such as resource sharing and virtualization. Finally, the paper summarizes the full text, and puts forward a summary and prospect of the combination and future development of cloud computing and enterprise resource management.
Restaurant management database system design and implement
Authors: Xie Ziteng
Published: February 2024

At present, the growth rate of the information age, various industries have begun to integrate with the Internet, the catering industry is no exception. This article is based on the current information age of restaurant management problems, for the current existence of restaurant management efficiency and personnel management and other research. The current manual management will still appear many drawbacks, such as difficult statistics. This paper through demand analysis, draw ER diagram after analyzing the relationship model using Mysql to build a restaurant project database, with convenient query turnover, understand the functions of best-selling products, employee information and other functions. Test whether the function of the system is normal through several common daily needs, and check whether it can pass the system analysis through some daily actual data. The test shows that the restaurant management database not only solves the needs of the daily operation of the business, but also provides the ability to analyze data.
Feature analysis and evaluation of hotel customer satisfaction based on decision tree
Authors: Qian Yijiang
Published: February 2024

The global hotel industry is in the process of rebounding from the impacts of the COVID-19 pandemic. Despite a surge in demand, traveler and customer satisfaction are experiencing a decline. To ensure the prosperity of hotels during this recovery phase, it becomes imperative to pinpoint the pivotal factors that dictate customer satisfaction. This research employs a decision tree algorithm for in-depth data analysis, mathematical modeling, and feature selection, all aimed at unveiling the determinants of passenger contentment. The model is subsequently refined and streamlined through the careful selection of the most impactful features. This study successfully identifies the paramount components that exert influence on customer satisfaction, with notable emphasis on factors such as hotel location, pricing, and booking procedures. Possessing insight into these determinants empowers hotels to concentrate their efforts on specific areas of enhancement, thus elevating the overall level of customer satisfaction. The implications of these findings hold practical significance for hotels, offering invaluable insights for the enhancement of service quality and customer contentment. Addressing the highlighted factors allows hotels to optimize operational efficiency, fortify their competitive edge, and secure enduring success in the post-pandemic recovery era. Moreover, by grasping customer preferences and augmenting satisfaction, hotels can safeguard their brand reputation and foster unwavering customer loyalty.
Brain tumor prediction and analysis based on simple CNN
Authors: Feng Huazheng
Published: February 2024

The field of brain tumor prediction aims to detect potentially malignant tumors before overt symptoms appear. Early tumor detection can help tailor treatment pathways. To this end, this paper introduces a convolutional neural network (CNN) to construct a simple CNN analysis model. Subtle architectural changes to typical CNN designs are aimed at navigating and solving complex problems unique to medical imaging. Specifically, first, a preprocessing stage converts raw Magnetic Resonance Imaging (MRI) scans into analyzable data. This enables the model to delve into complex patterns in each image. Second, build a simple CNN model and evaluate it. Additionally, comparisons are made with established benchmarks set by traditional CNN architectures. The study further utilizes many available annotated datasets to develop a data augmentation paradigm that improves model resilience and generalizability. At the same time, the study deploys rigorous protocols to address and contain the ubiquitous overfitting threat, thereby enhancing the general applicability of the solution across a variety of healthcare settings. Empirical evaluations shed light on the significant superiority of the proposed simple CNN, especially in specific imaging environments and data structures. At the heart of this research is not only to expand technological horizons but also to reimagine clinical diagnostics to improve the standard of patient care.
Optimizing multiplier design for enhanced processor performance
Authors: Wu Bilun , Zhang Zeyu
Published: February 2024

In processor design, the multiplier serves as a critical component whose operational speed and efficiency directly impact the performance of the processor. To meet the demands of rapidly advancing technology, enhancing processor performance is of paramount importance. The crux of multiplier design lies in reducing the count of partial products and compressing them. This paper presents the design of a multiplier that utilizes the Booth algorithm and the Wallace tree structure for optimization, along with the incorporation of registers for secondary pipeline processing to further elevate efficiency. The Booth algorithm selects the base-4 Booth algorithm, effectively reducing the count of partial products and mitigating the optimization efficiency reduction caused by circuit complexity. The Wallace tree structure employs a combination of 3-2 and 4-2 compressors, resulting in decreased resource consumption and reduced critical path delays. This paper outlines a step-by-step introduction to these three optimization methods and conducts simulations and tests on the current multiplier after each optimization step. Through simulation analysis, this paper confirms the success of the design and provides insights and outcomes to the current field of multiplier optimization, aiming to ultimately drive advancements in processor performance.
Research on an intelligent assessment method for the physical health of preschool children based on the Artificial Neural Network (ANN) model
Authors: Li Haofeng , Malek Jalaluddin Abdul , Awang Mohd Mahzan
Published: February 2024

This study aims to use the BP neural network model to predict the monthly total number of reported symptoms in preschool children, thereby achieving early warning for the total number of cases in the current month. By analyzing the training results of the neural network and the fitting of the model, the feasibility and effectiveness of the BP neural network in monitoring the physical health of preschool children are validated. The predictive model is of great significance for the prevention of infectious diseases in a border region of a certain province, providing important information for the local incidence situation. The research results indicate that the established BP neural network model demonstrates good accuracy and practicality in predicting the monthly total number of reported symptoms in preschool children’s physical health.
STUDI EMPIRIS: INTELLECTUAL CAPITAL DAN KINERJA BISNIS HOTEL DAN RESTORAN DI INDONESIA
Authors: Yuniarti Yuniarti , Azwani Arina
Published: February 2024

Since some parts of the world have experienced a tendency to decline the economic environment from the impact of the Covid-19 pandemic.  Companies are again intensifying knowledge and innovation through various means, to increase the value of their companies again so that they can boost the economy back to be more stable. Among the strategies carried out through the development of intellectual capital (IC) which is indeed very important in the world of tourism, besides of technology, partnerships, creativity, and the quality of products/services, as well as company finances, which are strongly influenced by the proper use of human resources. Intellectual capital is intangible capital, it is one of the knowledge studied by many researchers because it is important for almost any organization or industry.

This study aims to explore the influence of Intellectual Capital (IC) on the performance of the hotel and restaurant business in Indonesia, through Return On Assets (ROA) as an appraiser of business performance. This work will evaluate and compare intellectual capital that is limited in three dimensions including: (i) human resources; (ii) structural capital; and (iii) the capital used.

The research design used the Value Added Intellectual Capital (VAIC) coefficient model by observing financial data from 84 financial statements of hospitality and restaurant companies during 2019-2021. Multiple regression analysis with panel data was used to identify and reveal that IC through the Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE), and Capital Employed Efficiency (CEE) coefficients are related and contribute to the performance of the hospitality and restaurant business in Indonesia.

The results of the analysis can confirm the influence of IC on the business performance of hospitality and restaurant companies in Indonesia. And recommends the importance of intellectual capital for sustainable organizational productivity.
PENGARUH KEPEMIMPINAN TERHADAP MOTIVASI KERJA DI PT. SWADAYA MUKTI PRAKARSA, KETAPANG
Authors: Ekobelawati Fransiska , Zulimi Zulimi , Marjono Marjono
Published: February 2024

This research is based on phenomenon of a work motivation of higher education administration employee. It’s interesting to study the effect of leadership on the work motivation of higher education administration employee. This research uses quantitative method applying a survey approach. Respondents are education administration employees in PT. Swadaya Mukti Prakarsa, Desa Sempurna, Kecematan Sungai Laur, Kabupaten Ketapang, Kalimantan Barat with 55 respondents. This research result the hypothesis, can be said according to the hypotesis leadership had a significant effect on work motivation. It can been seen in α below 0,05 or below 5%. That indicate that hypotesis one accepted or relationship between leadership and work motivation is significant in this research. Leadership affectcs employee work motivation. That is, leadership to work motivation in higher education employee. Leadership is useful to motivate employee work in the organization especially in higher organization.
PENGARUH PROFITABILITAS, PERENCANAAN PAJAK DAN BEBAN PAJAK TERHADAP MANAJEMEN LABA (STUDI PADA PERUSAHAAN YANG TERDAFTAR DI JII TAHUN 2017-2021)
Authors: Nurina Lia , Mardiyati Mardiyati
Published: February 2024

This study aims to determine the effect of profitability, tax planning and tax burden on corporate earnings management. Data processing in this study uses parametric statistics, especially regression analysis using eviews software. Using secondary data. This study uses company data registered on the Jakarta Islamic Index for the period 2017-2021. The research results obtained from 30 samples show that ROA has a positive and significant influence on management profits, while tax planning and tax burden do not have a significant effect on earnings management. So companies are advised to evaluate and improve their business strategies and improve their operational efficiency, such as reducing costs, increasing productivity, and increasing the use of assets. This can help increase ROA and reduce the pressure to perform earnings management.
PORTOFOLIO OPTIMAL SAHAM SYARIAH BUMN DENGAN INDEKS TUNGGAL
Authors: Sunaryono
Published: February 2024

This study aims to identify sharia stocks of state-owned companies included in the IDX-MES BUMN17 sharia index to form an optimal portfolio and to determine the proportion of selected sharia stocks of state-owned companies from April 2021 to May 2023. This study also presents the return and risk levels of all IDX-MES BUMN17 stocks and the return and risk levels of the portfolio generated using the single index method. The analysis technique used is descriptive analysis using secondary data from 17 IDX-MES BUMN17 issuers obtained from www.idx.co.id, www.finance-yahoo.com, and www.bi.go.id. The population of this study consists of 17 stocks, and the entire population is used as the research sample. Based on the analysis results, two stocks were selected to form an optimal portfolio calculated since the establishment of the IDX-MES BUMN17 in April 2021, with an optimal assessment based on the ci value, namely PTBA and TLKM, with the largest proportion on the TLKM stock (30.01%) and PTBA (12.84%). The portfolio generated from these two stocks resulted in a return of 1.88% with a risk level of 8.75%.
MENGAPLIKASIKAN KEPUASAN KERJA SEBAGAI VARIABEL MEDIASI HUBUNGAN GAYA KEPEMIMPINAN TRANSFORMATIONAL TERHADAP KOMITMEN ORGANISASI
Authors: Yulianto  , Saryono Udin
Published: February 2024

The purpose of this study was to examine the Mediating Role of Job Satisfaction (JS) on the Influence of Transformational Leadership Style (TLS) on Organizational Commitment (OC). The method used is PLS – SEM with a second-order embedded tow stage approach. Data collection techniques used interviews and questionnaires which were distributed to millennial employees who work in palm oil processing machinery manufacturing companies. The tool used to test the research results in this study was SmartPLS 3. The sample for this study was 41 millennial employee respondents. Data were analyzed using path analysis. The results showed that TLS had an effect on JS but had no effect on OC while JS had an influence on OC, and in this study, JS was able to play a mediating role in the relationship between TLS and OC with a significance value of 0.034. and suggestions in this study include increasing the number of samples, and involving personality elements in the testing process and job availability.
The Egyptians' Use of Spices from “Attarin Market” In Folk Medicine, a Survey Study
Authors: Atia Nagwan , Shalabi Lamiaa , Hussein Ethar
Published: February 2024

ABSTRACT:
Economic botanists investigate the relationship between humans and plants to understand how plants are used in culture, where some foods come from, and how to use plant resources sustainably. A large proportion of the general population in developing countries still uses traditional folk medicines derived from plant sources. Bioactive compounds in medicinal plants have always attracted great interest from scientists in this field. Egypt is famous of the folkloric medicine plants. This is considered the main source for new medicines discoveries. The methods of cure and herbal prescriptions are generally not written down. These skills are passed from one generation to the other through apprenticeship and once forgotten may not be revived again. This research aims to focus on the traditional uses of some herbs and spices which have medicinal property and be used as a functional food for humans in Greater Cairo area, Egypt for thousands of years. Ethno-botanical field trips were done in different Attarin Markets of Cairo province. The various data concerning 30 species (local name, locations, medical uses, parts of plant used… etc), were recorded. The information was gathered using a questionnaire distributed through the ethno-botanical interviews. The results were discussed and different recommendations were suggested.