bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis Of K Means And K Medoids Algorithms In Determining Social Assistance In Padang Sidimpuan City, North Sumatra
Authors: Siregar Fadel Muhammad , Juhardi Ujang , Muntahanah Muntahanah , Hidayah Agung Kharisma
Published: August 2024

The government's efforts to tackle poverty are by issuing several programs that can help meet people's needs. However, in practice, it is not uncommon for the distribution of aid or other government programs to not be on target, because there are no clear procedures and calculations in determining which people are entitled to receive aid. Therefore, it is necessary to have a calculation mechanism that involves data on the demographic characteristics of the community using clustering. In this clustering process, there are 2 algorithms that are often used, namely K-medoid and K-means. The research aims to classify which communities are a priority for receiving assistance and which are not a priority. In order to get more accurate results, this research also tested the two clustering algorithms to get the best algorithm and the best number of clusters based on the dataset owned by looking at the Davies Bouldin Index (DBI). This research concluded that with the data set the best algorithm was K-medoids and the number of clusters was 2 with a DBI value of 1.332. Then, in the results of the clustering carried out from a total of 1031 data analyzed, it was found that 396 residents were eligible or made priority for receiving assistance and 635 residents who were not yet included in the priority list for receiving assistance.
Implementasi Proteksi Session Pada Menu Dan Module Program Alternatif Pengamanan Aplikasi Sim Dprd Kota Bengkulu
Authors: Yeri Habibullah KMS M , Witriyono Harry , Wibowo Sastya Hendri , Imanullah Muhammad
Published: August 2024

Abstract: Penelitian ini bertujuan untuk mengimplementasikan proteksi session pada menu dan modul program alternatif pengamanan aplikasi Sistem Informasi Manajemen SIM DPRD Kota Bengkulu. Dalam upaya meningkatkan keamanan dan integritas data, proteksi session diterapkan dengan menggunakan token sesi unik yang dihasilkan setiap kali pengguna berhasil login. Token ini kemudian disimpan dalam basis data MySQL dan diverifikasi setiap kali pengguna mencoba mengakses menu atau modul tertentu dalam aplikasi. Penelitian ini menggunakan metode pengembangan Waterfall yang mencakup tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Desain sistem melibatkan perancangan basis data, pembuatan flowchart, dan pemodelan sistem dengan UML. Implementasi dilakukan menggunakan bahasa pemrograman PHP dan HTML untuk memastikan integrasi yang baik antara frontend dan backend aplikasi. Uji coba dilakukan dengan metode black box untuk memastikan bahwa setiap fungsi proteksi session bekerja sesuai dengan yang diharapkan. Hasil uji coba menunjukkan bahwa sistem proteksi session berhasil mencegah akses tidak sah dan memastikan hanya pengguna terautentikasi yang dapat mengakses menu dan modul yang ditentukan. Dengan demikian, implementasi proteksi session ini mampu meningkatkan keamanan dan keandalan aplikasi SIM DPRD Kota Bengkulu, sehingga hanya pengguna yang sah dapat mengakses informasi sensitif, menjaga integritas dan kerahasiaan data dalam aplikasi tersebut.
Abstract: This study aims to implement session protection on menu and module programs as an alternative security measure for the Management Information System MIS application of the DPRD Kota Bengkulu. To enhance data security and integrity, session protection is applied using unique session tokens generated upon successful user login. These tokens are stored in a MySQL database and verified each time a user attempts to access specific menus or modules within the application. The research employs the Waterfall development methodology, encompassing requirements analysis, system design, implementation, testing, and maintenance phases. The system design involves database design, flowchart creation, and system modeling using UML. Implementation is carried out using PHP and HTML to ensure seamless integration between the application's frontend and backend. Black box testing is conducted to verify that each session protection function works as expected. The test results indicate that the session protection system successfully prevents unauthorized access, ensuring that only authenticated users can access designated menus and modules. Consequently, this implementation of session protection significantly enhances the
Legal and ethical considerations in medical records management within emergency cardiology
Authors: Almanna Mohammad Abdullah , Alanazi Dhiyaa Manawer , Alaujan Badour Subhi , Zamzami Bander Ahmad , Almarzouq Yousef Fahad , Ababtain Hind Amer , Alenizi Eman Smair , Alshaibani Reem Sultan , Alowaidan Salwa Rashed , Alharbi Lbandary Falah , Alnuwmasiu Fahad Madallah , Alonazi Fares Motalq , Alwahdani Mohammed Nuhayr , Alshammary Nasser Sihli
Published: August 2024

Background _ Telemedicine is a promising healthcare solution, particularly in underserved areas. It is cost-effective and accessible in both developed and developing countries. However, it faces challenges such as misdiagnosis, inconsistent legal regulations, and potential liability. The cost of telemedicine services is similar to in-person encounters, and pay equality is not guaranteed. Ethical and legal obstacles must be considered when implementing telemedicine programs, such as obtaining informed consent and understanding privacy risks. Aim of Work – Our aim was to emphasize the present state and identify the remaining requirements for implementing ethical and legal norms in telemedicine. Discrepancies have arisen among existing laws, lawmakers, service providers, various medical services, and, most significantly, the patient's connection with their data and the use of that data. Methods – The study conducted a comprehensive search of English literature published between 2010 and 2018 on PubMed, Scopus, and Web of Science. The search utilized specific keywords such as "Telemedicine," "Ethics," "Malpractice," "Telemedicine and Ethics," "Telemedicine and Informed consent," and "Telemedicine and Malpractice." Various types of articles, including research articles, review articles, and qualitative studies, were examined and analyzed. The abstracts were assessed based on the selection criteria, using the Newcastle-Ottawa Scale criteria.
Integrating Connectivity into State Wildlife Action Plans (SWAPs): Threats, Actions, and Recommendations
Authors: Hance Braden , Wurtzebach Zachary , Blanchard Emily , Desmond Meg
Published: August 2024

State Wildlife Action Plans (SWAPs) are important vehicles for connectivity conservation. State wildlife agencies must complete State Wildlife Action Plans (SWAPs) to qualify for funding from the State Wildlife Grants program, which was established in 2000 to support the conservation of at-risk species and their habitat. Since that time, SWAPs have become recognized as “conservation blueprints” that compile the best available science, identify conservation priorities, and promote coordination across various partners. This report provides SWAP planners and partners with a comprehensive “menu” of connectivity actions and recommendations for addressing connectivity in SWAP planning and implementation.
Efficacy of Alanyl-Glutamine in Preventing Mesh-Induced Adhesions: A Rat Model Study
Authors: Obayan Adebola
Published: August 2024

Study objectives: This study aimed to evaluate the effectiveness of alanyl-glutamine in preventing intraperitoneal adhesions in the presence of Marlex and Prolene meshes in a rat model. Design: This experimental study utilized a randomized controlled trial design. Setting: The study was conducted at University of Saskatchewan, involving a laboratory animal facility. Interventions: Twenty-four Wistar rats weighing over 300g were randomly assigned to three groups: Group 1 underwent laparotomy with cecal ligation and puncture and received Marlex or Prolene mesh, Group 2 underwent the same procedure with mesh plus alanyl-glutamine treatment, and Group 3 served as controls with laparotomy only. Adhesion formation was evaluated using histological staining techniques. Results: Rats treated with alanyl-glutamine showed significantly fewer adhesions compared to those without treatment, as evidenced by lower Zuhlke adhesion scores and histological analysis. Adhesions were absent at the six-week follow-up in the treatment group. Conclusion: Alanyl-glutamine effectively reduced adhesion formation in the presence of Marlex and Prolene meshes in this experimental rat model. These findings suggest a potential clinical application of alanyl-glutamine in enhancing surgical outcomes by mitigating postoperative adhesions associated with mesh placement.
Power Control Based on a Proportional-dual Integral Controller for Multi-rotor Wind Power Systems Using Genetic Algorithm
Authors: Benbouhenni Habib
Published: August 2024

In this study, the new direct power control (DPC) is proposed based on proportional-dual integral (PDI) controllers to control the doubly-fed induction generator (DFIG) power. The effectiveness of the suggested DPC-PDI strategy is analyzed and compared with traditional DPC techniques in terms of the minimizing steady-state error (SSE), DFIG energy undulations, time response, and total harmonic distortion (THD) of current of the DFIG-based multi-rotor wind turbine (MRWT). Graphical and numerical results show that the DPC-PDI strategy is more robust to parameter variations of the system compared to the conventional DPC. Moreover, the DPC-PDI has low THD compared to the DPC. Also, when the suggested DPC-PDI is used, the SSE and overshoot of the DFIG power is reduced. Detailed simulation results using MATLAB using a 1,500kW DFIG-MRWT are presented, where the THD value was reduced by 13.04%, 5.45%, and 59.25% in the tests compared to the DPC. The DPC-PDI minimized the value of active power ripples by percentages estimated at 83.10%, 87%, and 84.07% in the suggested tests compared to the DPC. Also, the SSE of reactive power was reduced by 70.68%, 84.84%, and 79.85% in the tests compared to the DPC. These percentages indicate the superiority of the DPC-PDI in ameliorating DFIG-MRWT system characteristics compared to the DPC.
Sparse FIR Filter Design using Double Generalized Orthogonal Matching Pursuit (DGOMP)
Authors: Kolawole Samuel Farayola , Isah Farouk Muhammad , Musa Nasiru Ameh , Ahmad Ashraf Adam
Published: August 2024

In this paper, sparse FIR filter was designed using Double Generalized Orthogonal Matching Pursuit (DGOMP) to reduce memory usage and increasing the speed thereby decreasing computational complexity of the algorithm. Mathematical models were formulated and simulations were conducted to validate the performance of the proposed method. The performance was compared with BOMP and Conventional FIR filter. The results showed that the DGOMP method achieved higher sparsity and a better approximation of an ideal filter. Additionally, the designed sparse FIR filters using DGOMP showed better performance in terms of time of execution when the signal lengths keep increasing, giving a 10% faster execution time when compared to BOMP. The passband and stopband attenuation, as well as ripple values were better, offering the flexibility of parameter adjustment. The results showed that DGOMP is a promising approach for designing sparse FIR filters.
Cybersecurity Assessment and Vulnerability Modelling of Networks and Web Services in Nigerian Colleges of Education
Authors: Amah Nnachi Lofty , Musa Muhammad Ndagie , Mohammed Abdullahi Jibrin , Olu-Ojo Bayode
Published: August 2024

Cybersecurity threats are among the most significant risks facing organizations and government today, and administrative boards have now been held accountable. This is an experimental research activity conducted to perform a holistic cybersecurity assessment and vulnerability modelling on the Information and Communication Technology (ICT) infrastructure and services of Colleges of Education in the six geopolitical zones. The study adopts an integrated bi-modal threat modelling and assessment (IBTMA) method by combining assessment and modelling approaches, which involves mixed-methods, along with computer-based experimentation to comprehensively evaluate and model cybersecurity threats, identify vulnerabilities, and propose effective mitigation strategies. Logistic regression data analysis was used to model the relationship between dependent variables (e.g., presence or absence of vulnerabilities or threats) and independent variables (e.g., cybersecurity practices, system configurations, policies, and staff training programs). This cybersecurity assessment provides the initial understanding of the security landscape and practices. The next step involves using the Microsoft Threat Modeling tool on the assets to identify specific threats. These threats are then prioritized based on their potential impact and likelihood. Assessment result of the vulnerability exposure is supported by the threat modelling report, which shows several threats: tampering, elevation of privilege, denial of service, privilege escalation, information disclosure, and spoofing. Findings from the study indicate that colleges face critical network and web vulnerabilities that need holistic solution.
DIAGNÓSTICO CLÍNICO E ECOCARDIOGRÁFICO DE FEBRE REUMATICA: UM RELATO DE CASO
Authors: Albuquerque Lara Goiana , Rodrigues Aline Campos Fontenele , Vasconcelos Mateus Romão Alves , Oliveira Rebeca Silva , Alencar Maria Nice Almeida , Soares Eduardo Linhares , Thomaz Raquel Pereira Franklin
Published: August 2024

Objetivo: relatar um caso clínico complexo envolvendo fatores biológicos, psíquicos e sociais. Enfatizando a importância do acompanhamento longitudinal para as diversas esferas do processo de doença e a necessidade de boa adesão à terapêutica, bem como as possíveis complicações da não adesão. O presente relato de caso foi realizado a partir do acompanhamento de paciente jovem na cidade de Sobral, Ceará. Para correto diagnóstico do caso, foram utilizados primariamente os exames ecocardiograma e laboratório com anticorpo antiestreptolisina. O ecocardiograma desempenha um papel crucial no diagnóstico da febre reumática, especialmente na detecção de cardite, uma das principais complicações que podem ocorrer nesta doença. Além da detecção da cardite, o exame desempenha papel primordial no diagnóstico precoce, no monitoramento da progressão, no planejamento do tratamento, na prevenção de complicações, além de entrar como um dos critérios diagnósticos. Ademais, o teste de ASLO (Antistreptolysin O) é fundamental no diagnóstico da febre reumática, pois mede os níveis de anticorpos contra a estreptolisina O, uma toxina produzida pelo estreptococo do grupo A. Níveis elevados de ASLO indicam uma infecção estreptocócica recente, essencial para os critérios de Jones utilizados no diagnóstico da febre reumática. Este teste ajuda a confirmar a presença de infecção estreptocócica prévia, diferenciando a febre reumática de outras doenças com sintomas semelhantes, como artrite e cardite. Além disso, o ASLO permite monitorar a resposta imunológica ao tratamento e a resolução da infecção. Essa confirmação orienta o uso de antibióticos e outras terapias necessárias para prevenir complicações e recorrências.
Information Technology in Trisutra Ayurveda
Authors:   P.G. Department of Roga Nidana Evam Vikriti Vigyan, GAC & H, Balangir, Odisha, India
Published: August 2024

The chief aim of Ayurveda is to attain Dhātusāmya. The concept of Trisūtra i.e. Hetu, Linga and Auṣadha has been specified for the fulfillment of the aim. As the technology advances, every branch of science getting reoriented including health sectors. As the world moves in the trajectory of Globalization, if we will only move manually then a lot of crises and challenges will be faced in future for the progress of Ayurveda globally. Since Ayurveda is currently practiced in a traditional manner, it is imperative that modern technology be used. The incorporation of digital technologies in the field of Ayurveda can automate tasks & will help for finer and precise understanding of human beings and diseases. Developing tools connecting to AI for assessing the Lakṣanās of the patient, predicting the diagnosis and outlining the customized treatment will pave the way to quality and accuracy in clinical practice as well. Material and Methods: The present study aims to explore the aspects of IT in Trisūtra Ayurveda. The information collected from Charaka Samhita, various research articles & Internet. Discussion and Conclusion: In order to address the growing needs of the global cyber community and integrate information technology into the realm of diagnostic, prognostic, and therapeutic processes, a restructuring of Ayurveda is necessary.
AutoEncoder-Based Data Completion Model for Theft Cases of Items Inside Cars
Authors: Cao Enqi , Bu Fanliang , Han Zhuxuan
Published: August 2024

Accurate and reliable prediction results depend on high-quality data, and missing data is one of the key factors affecting data quality. This paper proposes a data completion model for car interior theft cases based on an AutoEncoder, which adopts an AutoEncoder architecture combining Re-parameterized Convolutional Neural Network and Recurrent Neural Network. Experimental results show that RepConv-RNN-AE can effectively complete the missing values in car interior theft case data and demonstrates superiority in completing missing data in car interior theft cases.
Advanced Portrait Rendering: Algorithmic Creation of Artistic Images
Authors: Philip Robert , Arvey Lindsay , Tai Sian
Published: August 2024

This study introduces a refined algorithm for creating artistic portraits with dynamic, editable lighting effects derived from facial photographs. The proposed method begins by extracting edge contours from the input photo to construct a foundational line drawing. Subsequent steps involve intrinsic decomposition to differentiate between the photo's illumination and reflectance components. The illumination component undergoes a series of edits, including quantization and nonlinear adjustments, to refine its visual impact. Concurrently, the reflectance component is abstracted and merged with the line drawing to form a preliminary cartoon-style image devoid of specific lighting effects. The final artistic rendering is achieved by reintegrating the edited illumination component, resulting in a visually striking cartoon image that preserves realistic lighting dynamics. Experimental evaluations confirm the algorithm's ability to produce high-quality, realistic cartoon images with customizable lighting effects, making it a significant contribution to the fields of non-photorealistic rendering and digital art creation.
Water Quality Image Recognition based on SVM
Authors: Qin Xinpeng
Published: August 2024

It is proposed a method that combines digital image processing technology with machine learning algorithm. Firstly, python is used to extract the features of water sample image, the data were pre-processed, divided into training and test sets, and the SVM is used to construct water quality classification models. In the work of classifier evaluation, we need to combine the classifier model performance evaluation indicators: accuracy, Recall, F-value. According to the test results, the accuracy of SVM is more than 90%.
Intelligent Planting of Subtropical Fruits and Vegetables based on Artificial Intelligence
Authors: Liang Di , Lin Zhongming , Su Xiangyun , Li Wenjing , Wen Biaotang , Chen Zhendong , Guo Yuanyuan , Chuah Y.D.
Published: August 2024

This thesis discusses the intelligent planting system of subtropical fruits and vegetables based on artificial intelligence (AI) and visual recognition, especially the application in water and fertilizer management. In view of the problems of inaccurate and inefficient water and fertilizer management faced by fruit and vegetable planting in subtropical areas, this study implements an intelligent water and fertilizer decision support system, which integrates visual recognition, sensor data acquisition, machine learning algorithms and other technologies. Through visual recognition technology, the system can monitor the growth status of crops in real time, accurately identify crop growth parameters and pests and diseases, and provide data support for water and fertilizer decisions. Combined with sensor data such as soil moisture and nutrient content, machine learning algorithms are used to predict and analyze crop water and fertilizer requirements to achieve accurate water and fertilizer management. The experimental results show that the system can significantly improve the accuracy and efficiency of water and fertilizer management and promote high-quality and high-yield subtropical fruits and vegetables. This study provides new ideas and technical support for intelligent and precise agriculture, and has important application value and promotion prospects.
The Cultivation of Critical Thinking Ability in Middle School Physics Teaching
Authors: Gong Yanxiang , Guo Juan , Sun Xiangli
Published: August 2024

Critical thinking is the most fundamental way of thinking in evaluating, exploring, and developing activities, and is also a prerequisite for proposing and solving problems. How to cultivate students' critical thinking has become a crucial issue in middle school physics teaching. To implement the cultivation of critical thinking ability in physics teaching, it is necessary to cultivate the habit of scientific thinking among students in the process of questioning. Teachers should design teaching methods for cultivating critical thinking and continuously enhance students' critical thinking abilities in their scientific exploration activities. In the practical application of knowledge, their critical thinking skills are improved. Cultivating students' critical thinking is an important way to cultivate innovative talents.
Internet of Things (IoT) Computer Network Security and Its Remote Control Technology: Key Points and Applications
Authors: Cheng Kong
Published: August 2024

With the development and advancement of science and technology, communication devices have been widely developed and utilized. Among these, internet technology plays a comprehensive role in promoting the development of various industries in its practical application. The Internet of Things (IoT) is a particularly important technological form, significantly enhancing the efficiency of information transmission and sharing, and aiding in the rational implementation of data transmission and information sensing technologies. The security risks of IoT are mainly manifested in three levels: the intelligent perception layer, the access and transmission layer, and the business application layer. In the analysis of this article, the key points and characteristics of IoT computer network security, remote control technology, and computer remote control system structure analysis are mainly elaborated.
Analysis of the Current Status of Debilitation in Geriatric Internal Medicine Inpatients and the Factors Affecting it
Authors: Han Yating , Zhu Min , Li Xinxin , Jiao Min , Wu Yiran , Bai Xinru , Fan Huimin , Tao Xiubin , Wang Xiaoye , Wu Yinyin
Published: August 2024

To investigate the frailty status of inpatients in geriatric internal medicine and analyze its influencing factors, to provide reference for making intervention plan. By convenient sampling method, 310 patients from geriatrics department and hematology department of a third-class hospital in Wuhu City were investigated by general data questionnaire, Tilburg frailty scale, social frailty scale and fall alertness scale. The incidence of frailty in geriatric internal medicine inpatients was 40.6%. Logistic regression analysis showed that economic source, occupation, fall history in recent one year and main caregiver were the main influencing factors of frailty in geriatric internal medicine inpatients (P<0.05). The incidence of frailties in geriatric internal medicine patients is high, so nurses should pay attention to strengthen the early assessment of frailties in geriatric internal medicine patients, and formulate effective intervention plans according to the main influencing factors, aiming at reducing the risk of frailties in geriatric internal medicine patients.
Cultural Communication in the Digital Media Environment
Authors: Li Wan
Published: August 2024

With the rapid progress of technology, digital media has gradually transformed into the dominant medium for cultural dissemination, breaking the traditional mode of communication, achieving deep integration of culture and technology, and providing new opportunities and challenges for cultural dissemination. This article delves into the characteristics of the digital media environment, emphasizes the importance of cultural communication in this environment, and analyzes in detail the impact of social media interaction and co-creation, personalization and customized communication. These new trends make cultural dissemination more precise, diverse, and efficient through cross-border integration and innovation. However, while embracing new technologies, it is necessary to maintain respect and inheritance of cultural essence, ensuring that cultural dissemination finds a balance between modernity and tradition. Therefore, we should actively promote cross-border integration and innovation, constantly explore new communication paths, and make culture shine with new vitality in the digital media era.
Research on Optimization Method of Dredging Robot based on Deep Learning
Authors: Lyu Guangqiang , Xie Yanjing
Published: August 2024

When facing the complex environment, the traditional dredging robot is often limited by the preset rules and algorithms, and it is difficult to adapt to the dynamically changing working environment. in recent years, the rapid development of deep learning has provided new ideas for robot trajectory planning. In this context, this paper proposes an optimization method based on deep learning, combined with deep neural network and reinforcement learning algorithm, aiming to improve the working efficiency and safety of dredging robot in complex environment.
Evaluation of Leaf Photosynthetic Rates of Growing Plants under Different Spectral Distributions
Authors: Liang Di , Lin Zhongming , Su Xiangyun , Li Wenjing , Wen Biaotang , Chen Zhendong , Guo Yuanyuan , Chuah Y.D.
Published: August 2024

This thesis aims to explore the effects of different spectral distributions on the photosynthetic rate of plant leaves. By selecting specific plant species, different spectral conditions such as red light, blue light and mixed light were set under controlled conditions, and the leaf photosynthetic rate was measured using a gas exchange analyzer. The results showed that different spectral distributions significantly affected the photosynthetic efficiency of plant leaves. Specifically, plants showed a higher photosynthetic rate under red light conditions, while blue light inhibited the photosynthetic rate of leaves. The results under mixed light conditions were between the two. This study provides experimental data support for a deeper understanding of the effects of spectral distribution on plant growth and its photosynthetic mechanism, and has certain guiding significance for the optimization of the light environment in agricultural production.
On E-C Translation Strategies of CARPENTARIA under Cultural Translation Theory
Authors: Yang Yunxiao , Han Zhulin
Published: August 2024

Carpentaria, created by the celebrated Indigenous Australian writer Alexis Wright, is a highly praised work that vividly and profoundly showcases the blend of ancient Australian legends, myths, and real life, which was honored with the Miles Franklin Literary Award in 2007. Cultural translation theory emphasizes the necessity of remaining true to the original text's linguistic form while also considering the diversity of cultural backgrounds and the cultural adaptability needed for the target-language audience. Under cultural translation theory, this paper focuses on Li Yao's Chinese translated version, briefly analyzing how, through his translation, such a wonderful story as Carpentaria and the rich culture behind are made accessible to the Chinese readers.
ANALYSIS OF ROUTINE STRESS TESTING AFTER PCI IN PATIENTS WITH AND WITHOUT ACUTE CORONARY SYNDROME
Authors: AHMAD I , AKHTAR S , QURESHI RA , ADIL M , REHMAN IU , ALI Z , ANSAR R
Published: August 2024

Routine stress testing post-percutaneous coronary intervention (PCI) is critical in managing coronary artery disease (CAD) patients. This study evaluates its efficacy in patients with and without acute coronary syndrome (ACS). Objective: To assess the clinical outcomes and cost-effectiveness of routine stress testing following PCI in patients with and without ACS. Methods: A retrospective cohort study was conducted with 300 patients who underwent PCI. The cohort was divided into ACS (n=150) and non-ACS (n=150) groups. Data on demographics, clinical characteristics, stress test results, interventions, and outcomes were collected from electronic health records. The primary outcome was the incidence of major adverse cardiac events (MACE). Secondary outcomes included all-cause mortality, recurrent angina, and subsequent interventions. Statistical analyses included chi-square tests, t-tests, Kaplan-Meier survival analysis, and Cox proportional hazards regression. Results: The average age was 63.5 ± 10.2 years for ACS and 65.2 ± 11.3 years for non-ACS patients (p=0.045). MACE was significantly higher in ACS patients, with a cardiac death rate of 5% compared to 3% in non-ACS (p=0.034). ACS patients had a higher prevalence of abnormal stress tests (40% vs. 35%, p=0.389) and required more interventions, including repeat PCI and CABG. Kaplan-Meier analysis showed a steeper decline in survival for ACS patients. Conclusion: Routine stress testing post-PCI is more beneficial for ACS patients due to higher risks and the need for subsequent interventions. However, its routine use in non-ACS patients is less clear, suggesting tailored approaches based on individual risk profiles are needed.
Sejarah singkat dan peran penerjemahan dalam penyebaran ilmu pengetahuan
Authors: Siregar Roswani , Nuraida  , Umi Kalsum Eka , Ramadhan Andri , Sipahutar Ervina Sari , Warsiman  , Surbakti Syamsul Bahri
Published: August 2024

Penggunaan teknologi internet dewasa ini mengakibatkan penyebaran informasi di segala bidang dengan mudah dan cepat secara global. Salah satu hal yang berperan dalam hal ini adalah kegiatan penerjemahan, yang memungkinkan informasi dibagikan dalam berbagai bahasa. Penerjemahan merupakan kegiatan dan produk yang sangat penting bagi siapa saja yang ingin mengenal maupun memperkenalkan hal-hal yang dimiliki oleh suatu kelompok, budaya, atau bangsa kepada yang lain. Pembelajaran menerjemahkan sebenarnya sudah dimulai dari fase awal pembelajaran bahasa asing, mamun kemampuan menerjemahkan tidak serta-merta diperoleh dengan menguasai bahasa asing. Mengingat bidang penerjemahan merupakan ladang yang terbuka luas bagi profesi penerjemah, maka generasi muda, terutama mahasiswa jurusan penerjemahan perlu dimotivasi untuk menggiati bidang penerjemahan yang bermanfaat untuk menunjang pencapaian mereka dalam akademik maupun karir dan kehidupan profesional mereka di masa yang akan datang
Pendampingan Guru-Guru SMP Muhammadiyah 48 Medan dalam peningkatan kapasitas pengelolaan keuangan sekolah
Authors: Panjaitan Tuah , Muhajir Ahmad , Permana Aryo Bimo Setya , Nasution Muhammad Afif Herliandi
Published: August 2024

Pengabdian Kemitraan Masyarakat bertujuan meningkatkan kapasitas pengelolaan keuangan di SMP Muhammadiyah 48 Medan. Pengelolaan keuangan sekolah penting untuk mengklasifikasikan kebutuhan sekolah dan mempengaruhi operasional serta pendidikan. Metode yang digunakan adalah pembelajaran eksperimental dan studi kepustakaan mengenai manajemen dan penyusunan laporan keuangan, dengan penyampaian melalui ceramah dan diskusi. Guru-guru berpartisipasi aktif, terbukti dari banyaknya pertanyaan yang diajukan. Hasilnya, minat dalam penyusunan dan pengelolaan keuangan meningkat, serta kualitas pengaturan dan penyusunan laporan keuangan di sekolah juga meningkat
Grand Theft Autoencoder
Authors: Tilford Keith
Published: August 2024

The implementation of generative models in deep learning, particularly those of Text-to-Image Synthesis (T2I), are essentially an exaptation of the cognitive processes of the transcendental imagination Kant outlined in his notoriously opaque schematism chapter of CPR. While such engineering feats mirror the liberating force of photography’s invention, they have also proven to be a significant engine for reproducing antediluvian ideologies of art pivoting on claims about what has been stolen by the machine. This paper argues that T2I presents an opportunity to instead reconsider what our models of the procedures of the imagination actually are or could be, and wagers that the interdisciplinary conceptual frameworks supporting machine learning enable us to recuperate from an “incommensurable” synthetic intelligence the necessary resources for revising our understanding of what creativity is and does, with pattern recognition providing the tools for a renewed elaboration of techné to pull a heist upon the transcendental itself.
Evaluating the Composition of Biodiesel Synthesized from Black Soldier Fly (Hermetia illucens) Larvae
Authors: Khizar Fatima , Hameed Sana , Yousaf Hafiz Kamran , Sarwar Muhammad Sajjad
Published: August 2024

Biodiesel is considered a viable alternative to conventional diesel, particularly for the ground transportation industry. While different plant seeds oils have been the dominant feedstocks for biodiesel synthesis to date. However, they are often expensive due to their limited supply and low reproductive rate. Objective: To present a sustainable approach by using the black soldier fly (Hermetia illucens) larvae as an alternative feedstock. Methods: The larvae were fed with waste chicken rice, fish, soft vegetables and fruits. These wastes provide food and shelter for disease-causing insect larvae and contributes to land pollution. Using petroleum ether as a solvent, 12.2 g of crude grease was extracted from ~ 500 larvae, resulting in about 11.8 g of biodiesel through a two-step acid-base catalyzed transesterification process. Results: The resultant biodiesel was analyzed using Gas Chromatography-Mass Spectrometry (GC-MS), revealing a Fatty Acid Methyl Ester (FAME) profile predominantly comprising dodecanoic acid, 9-Hexadecenoic acid, 9- octadecenoic acid and 11- octadecenoic acid etc, emphasizing its potential as a high-quality alternative to conventional diesel fuel. Conclusions: This study contributed to develop biodiesel as an eco-friendly renewable energy technology by using BSFL.
Lựa chọn kênh mua sắm thịt của người tiêu dùng tại khu vực thành thị Thành phố Cần Thơ
Authors: Phạm Lê Thông , Nguyễn Bảo Trân , Nguyễn Tấn Nghĩa , Trang Đoàn Như Huỳnh , Nguyễn Đức Thọ
Published: August 2024

Bài nghiên cứu này phân tích các yếu tố ảnh hưởng đến việc lựa chọn kênh mua sắm thịt tươi sống của người dân ở nội thành thành phố Cần Thơ dựa trên mô hình Logit đa thức phân số với số liệu được thu thập ngẫu nhiên từ 200 hộ gia đình. Mô hình này cho phép kết hợp nhiều kênh khi lựa chọn mua sắm và do vậy, nó đặc biệt phù hợp trong môi trường đa kênh mua sắm hiện nay. Kết quả nghiên cứu cho thấy chợ truyền thống vẫn là nơi mua sắm thịt tươi sống chủ yếu. Tuy nhiên, cửa hàng và siêu thị sẽ là những kênh thay thế quan trọng cho chợ truyền thống. Kênh trực tuyến được lựa chọn bởi số ít người tiêu dùng. Bên cạnh đó, những người có học vấn cao và các hộ gia đình có nhiều trẻ em thường sẽ có xu hướng mua tại các cửa hàng và siêu thị nhiều hơn tại chợ truyền thống. Những người có thời gian sử dụng mạng xã hội và có thu nhập cao sẽ có xu hướng lựa chọn mua trên các kênh trực tuyến nhiều hơn.
Tác động của hành vi làm việc phản tác dụng lên hành vi công dân tổ chức: vai trò điều tiết của bản sắc đạo đức
Authors: Nguyễn Viết Bằng , Châu Võ Trí Tiến
Published: August 2024

Hành vi của nhân viên đóng vai trò trực tiếp hoặc gián tiếp trong nhiều yếu tố ảnh hưởng đến kết quả hoạt động của một tổ chức. Trong nhiều loại hành vi, hành vi làm việc phản tác dụng và hành vi công dân tổ chức là hai loại hành vi phổ biến tại nơi làm việc. Vì vậy, mục đích của bài viết này nhằm xem xét mối quan hệ giữa hành vi làm việc phản tác dụng và hành vi công dân tổ chức cũng như vai trò của cảm giác tội lỗi, cạn kiệt cảm xúc và bản sắc đạo đức. Nghiên cứu sử dụng phương pháp định lượng thông qua dữ liệu thu thập được từ 200 nhân viên đang làm việc tại các doanh nghiệp nhà nước ở TP. Hồ Chí Minh. Kết quả cho thấy, hành vi làm việc phản tác dụng và cảm giác tội lỗi có tác động trực tiếp đến hành vi công dân tổ chức. Bên cạnh đó, bản sắc đạo đức tạo ra tác động điều tiết khác nhau lên mối quan hệ giữa cảm giác tội lỗi và hành vi công dân tổ chức cũng như giữa hành vi làm việc phản tác dụng và hành vi công dân tổ chức. Những phát hiện của nghiên cứu này cung cấp cái nhìn sâu sắc về hành vi, vai trò của bản sắc đạo đức và những hàm ý quản trị quan trọng để các công ty hoặc người quản lý hiểu được các hành vi tiêu cực tại nơi làm việc.
Variation analysis in historical demographic distribution within urban agglomeration: Experimental evidence from the Wuhan “1+8” City Circle
Authors: Liao Wanying , Wu Dongzi , Guo Zixin , Zhao Chunping , Xu Jiajun , Xu Youqing
Published: August 2024

Understanding the spatial distribution of population is crucial in regional research, as it informs the development of effective population policies, long-term regional planning, and the balanced growth of the economy, resources, and environment. This study employs a quantitative approach to construct a research framework using demographic data to elucidate the historical population dynamics within the Wuhan “1+8” City Circle (WCC). The study examines whether the central city and its peripheral cities have experienced coordinated growth or if a town has dominated. The findings reveal several key findings and insights: Wuhan, as the core city of the WCC and the capital of Hubei Province, shows population growth driven not only by natural increases but also by a significant population siphoning effect, with Hongshan of Wuhan experiencing the most pronounced impact; from 2010 to 2020, the WCC’s overall population distribution displayed a dispersal trend, while population density continued to concentrate, particularly around Wuhan and its vicinity, thereby establishing Wuhan as a central population hub. Gender distribution within the WCC generally reflects a higher proportion of males than females, with exceptions in Jiang’an of Wuhan and Huangshigang of Huangshi, where females outnumber males. This pattern may result from attracting male labor to industrial parks and female labor to service sectors. In summary, the WCC needs to refine its regional development strategies, especially for crucial siphoning areas such as Hongshan of Wuhan and Wuchang of Wuhan, to foster balanced regional growth. Additionally, policies to encourage childbirth, enhance elderly care services, and implement a comprehensive population data monitoring and forecasting system are crucial for addressing demographic shifts and achieving sustainable development.
Foreign Language Education and Cultivation of International Talents from the Perspective of Values Education
Authors: Han Zhulin , Ning Qingqing
Published: August 2024

This paper explores the integration path of values education into foreign language education, analyzes the current demand and supply situation of international talents, proposes measures to enhance students’ international competitiveness and sense of responsibility through curriculum design, teaching methods, and faculty training. It aims to achieve synergistic development between foreign language education and values education, thereby cultivating high-quality international talents.
CPTPP Intellectual Property Rules and China's Response
Authors: Zhu Xiaoyu
Published: August 2024

In the complex and changeable international environment, due to the serious crisis of the multilateral trading system of the World Trade Organization and the influence of trade protectionism of Western countries, the United States and other developed countries try to promote trade facilitation through institutional changes and innovations in the field of intellectual property in order to seek more benefits. In order to avoid being marginalized in the reconstruction of international economic and trade rules and affecting trade exchanges between China and other countries, China formally submitted a written application to join the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) in 2021. The CPTPP, which came into effect in 2018, covers a wide range of content, comprehensive and high standards. So far, the issue of intellectual property is still one of the most important issues that some countries want to solve if they want to join the CPTPP. Although CPTPP shelve the 11 high-standard provisions in TPP, there is still a certain gap between China's intellectual property legal system and the CPTPP intellectual property rules at present. In order to successfully connect with the CPTPP intellectual property rules, it is necessary for China to conduct a comprehensive investigation of its intellectual property text and analyze the differences between it and the domestic intellectual property legal system. And put forward countermeasures.
The Dissemination, Impact and Effectiveness of Jameson’s Cultural Theory: A Survey-Based Study in the Chinese Context
Authors: Chen Xia
Published: August 2024

This study explores the dissemination, impact, and effectiveness of Fredric Jameson’s cultural theory within Chinese mass culture by conducting a comprehensive survey across various social groups and regions. The paper examines the acceptance and communication of Jameson’s theories, focusing on how his insights into cultural expansion and ideology resonate with different demographics in China. The results indicate that the primary audience for Jameson’s works consists of individuals aged 25-35 with high educational backgrounds, with significant interest in regions like Zhejiang, Hubei, Guangzhou, Beijing, Shanghai, and Shenzhen. The survey also reveals varying degrees of familiarity with Jameson’s theories among respondents, highlighting a growing influence yet uneven understanding. These findings suggest that a systematic interpretation of Jameson’s cultural theory can significantly contribute to the development and enrichment of Chinese mass culture.
CPTPP State-Owned Enterprise Rules and Our Countermeasures
Authors: Yang Haotian
Published: August 2024

State-owned enterprises (soes) play an important role in the global economy. Some developed countries believe that because of the state nature of SOES, SOES enjoy more privileges and unfair competitive advantages than private enterprises, including government subsidies and regulatory incentives, so that their market competitiveness and overall strength are strong. In order to get rid of the “Official business” advantage of state-owned enterprises, promote the equal competition between state-owned enterprises and private enterprises, and reduce the concern of state-owned enterprises, the rules of our state-owned enterprises are gradually formed. For the first time in the international market, CPTPP specifically regulates the rules of state-owned enterprises. Compared with other free trade agreements, cPTPP's SOE rules are characterized by stronger competition neutrality rules, wider scope of application, more non-commercial aid rules and higher transparency. In the context of China's imminent accession to CPTPP, this paper analyzes the regulation of our state-owned enterprises that have signed the free trade agreement, and finds that the number of state-owned enterprises to be regulated in the free trade agreement is small and the level of regulation is low. Therefore, we must actively negotiate the new issues of state-owned enterprises and actively participate in the construction of international rules of state-owned enterprises. For the CPTPP high-level SOE rules negotiation, we should follow China's national conditions, study the introduction of ownership-neutral competition-neutral principle as the core, and further deepen the reform of state-owned enterprises, state-owned enterprises to standardize the way of subsidies.
The Philosophical Implications and Contemporary Value Insights of “Labor Creates Humanity” from Hegel's "Master-Slave Dialectic"
Authors: Su Longhao , Qin Lijuan
Published: August 2024

In Hegel's "Master-Slave Dialectic," labor is not only a means to achieve freedom but also a process of self-creation. Through labor, the slave negates their own nature, gradually surpassing their mere slave status to gain self-awareness and freedom. Meanwhile, the master, often reliant on the slave's labor is compelled to accept material provisions from the slave, creating a material dependency that forces the master to negate their own essence and be disciplined into a new form by the slave. This dependency of the master is not only material but also involves recognition of the slave's social status and their own value. Hegel's "Master-Slave Dialectic" provides a profound philosophical framework for contemplating the philosophical implications and contemporary value insights of "Labor Creates People." It offers a deeper understanding of issues facing contemporary society, particularly in rethinking the relationships between freedom, labor, and environment. This philosophical framework is crucial for seeking inclusive and sustainable solutions to contemporary challenges.
HIPERTERMIA ESCROTAL, FATORES ETIOLÓGICOS E CONSEQUÊNCIAS CLÍNICAS
Authors: Bizetto Ana Carolina , Daneluz Letícia Bugoni , Bento Iamara Carvalho Sabatino , Barriviera Cínthia Medeiros , Emanuelli Isabele Picada , Silveira Heloisa Meneguette , Conceição Akira Gabriela da , Silva Laise Kosinski da
Published: August 2024

A infertilidade vem crescendo e está relacionada com diversas etiologias, como estilo de vida, fatores sociais e ocupacionais. Atualmente, a hipertermia escrotal tem aumentado, acarretando em prejuízos na fertilidade masculina. A pandemia do COVID-19 teve contribuição, pois com o trabalho remoto, muitos homens passaram a utilizar o notebook em cima do colo, levando ao aumento da temperatura testicular. Esse aumento da temperatura acima do ponto homeotérmico fisiológico gera um estresse térmico, que é uma das causas de decaimento progressivo na procriação e de um decréscimo da qualidade seminal. Assim, este estudo teve como objetivo analisar as diversas etiologias e as consequências da hipertermia escrotal na fertilidade masculina. Trata-se de uma revisão sistemática de literatura de caráter qualitativo, realizada através do protocolo PRISMA e com base em artigos científicos disponíveis nas bases de dados Pubmed, Scielo e UpToDate. A busca preliminar identificou 30 artigos, destes foram selecionados 22 identificados como artigos de pesquisa. Entretanto, a aplicação dos critérios de inclusão e exclusão resultou em apenas 8. Esta pesquisa identificou as principais etiologias da hipertermia escrotal, sendo elas obesidade, varicocele, uso de laptops sobre o colo, sauna finlandesa, tipo de roupa íntima utilizada, aquecimento dos testículos em banho maria a 43 graus Celsius e etiologias de origem ambiental e clínica. Como limitação do estudo, percebemos que há um baixo número de estudos em seres humanos acerca desta temática. Além disso, a maioria dos estudos são realizados com voluntários normais, o que não possibilita a análise em homens que já possuem alguma comorbidade.