bluuebunny/crossref_metadata_2025 huggingface dataset:
Application Evaluation and Analysis of PDCA Cycle Quality Management in RICU Instrument and Equipment Management
Authors: Liu Qinfeng , Tan Miao
Published: July 2024

Objective To explore the application value of PDCA cycle quality management in RICU instrument and equipment management. Methods In order to improve the operation quality and efficiency of department management, The PDCA cycle quality management method had been used in the management of RICU instruments and equipment. The effects of PDCA cycle quality management before and after the implementation were compared, and the satisfaction survey was conducted. Results After the implementation of PDCA cycle quality management, the rate of Instruments and equipment with complete accessories was improved (P<0.05), and the rate of equipment with stained surface was significantly reduced (P<0.01). In the analysis of satisfaction survey results, after the implementation of PDCA cycle quality management, the satisfaction of medical staff on instruments and equipment and the satisfaction of patients on inpatient services were significantly improved (P<0.01). Conclusion PDCA cycle quality management method can improve the management efficiency of RICU instrument and equipment, and has high application value in medical equipment management.
Study on the Development of Property Insurance Industry Based on ARIMA and CGDAM-WRIR Models
Authors: Huang Yibo , Sun Guoli , Huang Xiaoyin , Lin Cen , Li Hang
Published: July 2024

This study aims to address the climate change challenges faced by the property-casualty insurance industry by using the ARIMA model to assess the potential impacts of extreme weather events on the insurance industry and the CGDAM-WRIR model to analyze the regional impacts of tornadoes and the impacts of climate change on communities. With these models, we provide accurate risk management and underwriting strategy adjustment recommendations. Future research will further explore complex models, overcome limitations, integrate multi-source data, and develop real-time predictive models to help the insurance industry better manage climate change uncertainty, safeguard property owner interests, and ensure market sustainability and resilience.
The Application of Distance Education Technology in Standardized Training of Resident Physicians in Primary Orientation Training
Authors: Xu Tiefeng
Published: July 2024

This paper explores the application of distance education technology in standardized training of resident physicians in primary orientation training. With the rapid development and popularization of distance education technology, the special needs faced by primary medical institutions in resident physician training are becoming increasingly prominent. By analyzing the current application state, it is found that distance education technology can effectively promote the sharing of high-quality educational resources, improve the flexibility and coverage of training, moreover, it also faces challenges such as technological equipment limitations and insufficient teacher-student interaction. To optimize the application effect, this paper proposes strategies such as strengthening technical support, optimizing teaching content and form, and establishing a sound training effect evaluation system. This study not only helps to improve the training quality of primary resident physicians, but also has important significance for improving the level of primary medical services. Looking to the future, distance education technology will play a greater role in the training of primary resident physicians, which is of great significance for improving the level of primary medical services.
The Etiology, Pathogenesis and Clinical Treatment of Depression Were Analyzed from the Perspective of Traditional Chinese Medicine
Authors: Zhang Jiahe
Published: July 2024

As the pace of life quickens, the prevalence of depression rises. Due to the incomplete understanding of depression and various causes, it is still unable to fully effective prevention and treatment in clinical practice. Western medicine treatment of depression has high cost and side effects, while Chinese medicine treatment has advantages, according to different syndromes, different treatment means and Chinese medicine drugs can be used, efficient and targeted. Traditional Chinese medicine believes that the cause of depression lies in the poor operation of Qi and blood, which leads to the dysfunction of multiple viscera, and the symptoms such as emotional depression appear in the light, and the serious phenomena such as loss of survival motivation appear. This article will discuss the causes and treatment methods of depression from the perspective of traditional Chinese medicine, and provide new ideas for clinical treatment.
Research on the Integration Path of Innovation and Political Education in Hydraulic Transmission Course from a Shared Perspective
Authors: Xie Hao , Qin Juanjuan , Meng Guoliang , Wang Dongliang
Published: July 2024

The course "Hydraulic and Pneumatic transmission" is based on hydraulic transmission knowledge, takes the training of innovative and entrepreneurial talents as the theme, adheres to the equal attention of professional education, innovation and entrepreneurship education and ideological and political education, integrates the resources of double and creative education from the three aspects of course implementers, course content and course practice carrier, optimizes the supply of course content through the "three small ways", and innovates the "one main body, two starting points". The "three integration, four positions" curriculum construction mode aims to explore the effective combination of innovation and entrepreneurship concept and curriculum ideology and politics in the curriculum teaching reform, so that students will integrate innovation consciousness into professional skills training, cultivate comprehensive talents with excellent innovation and entrepreneurship ability and good ideological and moral quality, and let students' professional skills, innovation and entrepreneurship ability and ideological cultivation go in the same direction.
Research on Bionic Design of Packaging Forms for Snacks in Fishing Villages
Authors: Wang Peng
Published: July 2024

This article aims to explore the bionic design of the packaging form of snacks in fishing village. Taking Quanzhou xunpu village as an example, through the in-depth understanding of the culture and natural environment of the fishing village, as well as the application of the principle of bionics, a snack package with bionic morphology is designed in line with the local characteristics of XunPu Village and the marine culture. The research combines the analysis of the morphological characteristics of marine organisms such as oysters, shells and fishes, and combines these characteristics with the traditional cultural background of the characteristic snacks of the fishing village to design a new type of packaging scheme that meets the requirements of aesthetics, functionality and sustainability. Through fieldwork research and internet data collection, and research and analysis were carried out. The final design solution is not only artistic and culturally expressive, but also considers the impact of packaging on the environment and enhances the market competitiveness of the product and consumer experience. Future research can further explore the application of bionic design in packaging and its potential in promoting sustainable development and cultural heritage.
Research on Unmanned Aerial Vehicle Path Planning
Authors: Jiang Lingzhi , Wu Qiwu , Tan Weicong , Tong Tao , Zhang Weiyi
Published: July 2024

This paper reviews and analyses the research progress in the field of UAV path planning. Firstly, the importance of UAV path planning and the current research work related to UAV path planning are introduced. Then how UAV path planning is modelled is analysed and key issues to be considered are given. Finally, classical search algorithms, evolutionary algorithms, heuristic search-based algorithms and deep learning methods are analysed in UAV path planning. For each method, its principle, characteristics, advantages and disadvantages, and applicable scenarios are analysed. The aim of this paper is to provide a comprehensive overview for researchers and scholars in the field of UAV path planning in order to promote the development and application of related technologies.
Application and Challenges of Antifungal Drugs in the Treatment of Fungal Sinusitis
Authors: Liu Xiaomeng , Zhang Yan
Published: July 2024

This article discusses the application and challenges of antifungal drugs in the treatment of fungal sinusitis. The article first discusses the characteristics and pathological mechanisms of fungal sinusitis, and then analyzes in detail the mechanism of action and clinical application of antifungal drugs, including the main challenges they face, such as the development of drug resistance and the management of drug side effects. The paper also emphasizes the importance of personalized medicine and looks forward to future development trends, pointing out that future research will focus on developing new drugs, optimizing existing drug formulations, and advancing personalized medicine. The article concludes by emphasizing the importance of interdisciplinary collaboration in future research.
Research on Rights Ownership of Artificial Intelligence-Generated Content
Authors: Ye Lin
Published: July 2024

The AI-generated content that has emerged in recent years is at least formally original compared to traditional works. If such generated content is allowed to exile the market, its potential market effect and industrial interests make it difficult for us to ignore the existence of such generated content. From the perspective of copyright incentive, on the basis of the impersonal nature of artificial intelligence creations and the two-element theory of copyright nature in China, we separate the property rights of works, protect them as property rights alone, and allocate the property rights of works around investors.
Emotion Recognition in Lhasa Tibetan Speech based on Bi-LSTM Graph Convolutional Networks
Authors: Chen Ang , Huang Rongzhao , Xi Tong , Wu Liang , Bianba Wangdui
Published: July 2024

Speech Emotion Recognition (SER) is a crucial component in the field of Human-Computer Interaction (HCI), with significant research and practical application implications. However, due to the complexity of the Tibetan language and the scarcity of datasets caused by the difficulty in collecting various dialects, there are not many research achievements in Tibetan speech recognition. Based on the foundation of constructing a TBLS1 dataset containing 6,000 Tibetan-language speech samples, an approach was devised for Tibetan speech emotion recognition. This approach leverages MFCC features and incorporates a Bi-directional Long Short-Term Memory (Bi-LSTM) network within a graph convolutional neural network. Finally, by comparing the performance of different models on this dataset, we demonstrated the feasibility of our model for Tibetan speech emotion recognition.
Advances in Mouse Models of Lupus
Authors: Lan Yijun
Published: July 2024

Systemic lupus erythematosus (SLE) is a typical autoimmune disease with complex clinical manifestations and involvement of organs and tissues of multiple systems throughout the body, but its pathogenesis is still unclear, therefore, the establishment of a suitable animal model of lupus is of great significance in exploring the etiology, pathogenesis and treatment of SLE. Constructing a lupus mouse model is a good tool for studying SLE. In this review, we will introduce the methods of establishing different kinds of lupus mouse models and their characteristics, and discuss the advantages and disadvantages of various models, with a view to providing researchers with references in the process of exploring the pathogenesis of lupus, and in the development of targeted interventions and therapeutic drugs.
Effects of Digital Transformation on Firm Performance
Authors: Gao Tingting
Published: July 2024

Taking the company in Chaoyang District, Beijing, this paper discusses the impact of digital transformation on company performance. With the rapid development of information technology, digital transformation has become a key means for enterprises to enhance their competitiveness. Through the analysis of the Chaoyang District company, we found that the digital transformation not only optimized the company's business model and organizational structure, but also reshaped the corporate culture, thus significantly improving the company's performance.
Intelligent Water Quality Testing Device based on Internet of Things Technology
Authors: Hua Yanli , Cheng Qiao
Published: July 2024

Water quality testing is an important environmental testing standard. However, at present, Internet of Things water quality testing products generally have problems such as single function, complex interface, and short sensor life. The design of this paper is a device with intelligent water quality detection technology, including the independent design of the sensor interface standard, the sensor automatic recognition, plug and play; The sensor is equipped with a lifting mechanical structure to avoid long-term soaking of the sensor and increase the service life of the sensor by 35%. At the same time, combined with intelligent Internet of Things, big data analysis and other technologies, help relevant departments to grasp water quality information in a timely and accurate manner, early warning and forecasting of major regional water pollution accidents, supervision of pollutant discharge, and implementation of control systems to provide help. It is mainly used to monitor the water quality data of small and medium-sized reservoirs, rivers and lakes to achieve intelligent management within the jurisdiction.
Phytochemical, Proximate, Mineral Analysis and Antioxidant Activity of the leaves of Gossypium hirsutum
Authors: Suleiman Mohammed Salisu ,   Department of Biochemistry, Faculty of Natural Sceinces, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria, Omale Jamila Audu , Ayeni Gideon , Ali Bashir Alabi , Ojogbane Eleojo , Sule Fatima Ajuma , Jegede Raphael Eneji , Mohammed Lukeman Sanusi ,   Department of Biochemistry, Faculty of Natural Sceinces, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria,   Department of Biochemistry, Faculty of Natural Sceinces, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria,   Department of Plant Science and Biotechnology, Faculty of Natural Sciences, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria.,   Department of Medical Laboratory Science, Taraba State University, Jalingo.,   Department of Biochemistry, Faculty of Natural Sceinces, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria,   Department of Biochemistry, Faculty of Natural Sceinces, Prince Abubakar Audu University, Anyigba, Kogi State, Nigeria,   Department of Biochemistry and Molecular Biology, Faculty of Natural and Applied Sciences, Nasarawa State University.
Published: July 2024

The leaves of Gossypium hirsutum were analyzed for phytochemical, proximate, mineral compositions, and antioxidant activity. The free radical scavenging activity using DPPH procedure was used to determine the antioxidant activity of Gossypium hirsutum. The quantitative phytochemical screening revealed that G. hirsutum contained 34.00±1.10 mg/g alkaloids, cardiac glycosides 0.986±0.65 mg/g, 23.47±0.02 mg/g tannins, 50.82±0.02 mg/g total phenol, 38.73±0.01 mg/g saponins, and 182.51±0.10 mg/g flavonoids. Proximate analysis revealed that carbohydrate had the highest percentage in G. hirsutum 47.97± 0.00%. Crude fat had the lowest percentages of 7.11 ± 0.01%. Mineral analysis revealed that potassium had the highest concentration of 740.28±0.02 ppm while the least concentration of minerals in G. hirsutum was iron (39.08±0.02 ppm). The presence of carbohydrates, proteins and fat justifies that Gossypium hirsutum can be used as a good source of basic nutritional daily requirements. The high radical scavenging effect observed in the plant showed that it is a good source of natural antioxidant. The high amount of flavonoids, total phenol, saponins, alkaloids and tannins may be an indication of its high medicinal potential in treatment of certain diseases.
Implementasi Perencanaan Pendidikan Karakter Berbasis Manajemen Nilai-Nilai Islam dalam Pembinaan Akhlak Siswa MTs. Asy-Syuhada
Authors: Romdoniyah Fida Fadilatul , Mulyawan Safwandy Nugraha
Published: July 2024

Perencanaan pendidikan Islam yang matang akan menghasilkan pendidikan yang baik. Pendidikan yang baik adalah pendidikan yang mampu mengembangkan seluruh fitrah peserta didik, yaitu fitrah akal dan agama. Salah satu ajaran pendidikan islam yang harus ditanamkan dalam diri setiap peserta didik adalah pendidikan karakter. Pendidikan karakter adalah proses penanaman nilai-nilai kebaikan dalam diri siswa agar menjadi pribadi yang berbudi pekerti luhur, baik dalam hal moral maupun sosial. Pendidikan karakter penting karena dapat membentuk siswa menjadi pribadi yang memiliki sifat-sifat terpuji, terhindar dari perilaku buruk, dan mampu mengembangkan emosi dan sosialnya secara positif. Sehingga tujuan dari penelitian ini adalah untuk mengetahui implementasi pendidikan karakter berbasis manajemen nilai-nilai Islam dalam pembinaan akhlak siswa MTs. Asy-Syuhada. Metode penelitian ini menggunakan metode kualitatif deskriptif, dengan teknik pengumpulan datanya adalah dengan wawancara dan observasi. Hasil dari penelitian ini menunjukan bahwa implementasi pendidikan karakter di MTs. Asy-Syuhada sudah terlaksana dengan baik. Namun menurut penulis, dalam pelaksanaan perannya perlu untuk melibatkan kerjasama dengan orang tua siswa dan masyarakat lingkungan supaya pendidikan karakter yang sudah diajarkan di sekolah, mampu merealisasikan siswa dalam kehidupannya di lingkungan rumah.
Kata kunci : perencanaan; pendidikan karakter; akhlak
Research on the Protection of Labor Rights and Interests of Retirees' Re-employment
Authors: Liu Xiaotian
Published: July 2024

With the deepening of the development of China's aging society, the insufficient supply of the labor market has become increasingly apparent. The protection of the labor rights and interests of retirees in their re-employment can effectively respond to the strategic requirements of active aging, which is in line with the principle of respecting labor and opposing discrimination. Specific measures can be taken to clarify the labor subject status of the elderly retirees, improve the system of receiving and issuing pensions, clarify the composition of the labor remuneration of the retired re-employed personnel and protect it reasonably, establish a special labor safety system, and improve the protection of the labor rights and interests of the retired re-employed personnel with the collective protection of trade unions.
Ornamental Quality in Edouard Vuillard's Oil Paintings
Authors: Bin Huixiang , Zhang Jingyi
Published: July 2024

The Les Nabis's method of depicting reality does not follow the central perspective, but the form brought out by the concept of pure subjectivity and decoration. Edouard Vuillard Influenced by the painting concept of Les Nabis, from the standpoint of beauty and decoration, Edouard Vuillard's works often have not only artistic value but also decorative value. The article will discuss three aspects: theme selection, subjectivity of modeling, color and composition, and try to analyze the decorative factors in Edouard Vuillard's oil painting.
Study on the Path of Generative Artificial Intelligence Copyright Protection under the Strategy of Intellectual Property Power
Authors: Yang Zhi , Xu Yuanhong
Published: July 2024

Generative AI copyright protection is in response to the inherent requirements of AI development and intellectual property protection. At present, generative AI copyright protection faces problems such as insufficient legal basis for prevention and control mechanisms, unsmooth preventive systems, and poor operation mechanisms. Therefore, to solve the dilemma of generative AI copyright protection, it is necessary to take the principle of risk prevention as the concept, clarify the legal basis for generative AI copyright prevention, reasonably define the scope of generative AI, establish a multi-principal protection system to protect generative AI copyright, introduce diversified ways to help generative AI copyright maintenance, and set up a composite responsibility system to solidify the generative AI copyright protection bottom line, and establish an administrative protection system to protect the copyright protection bottom line. The bottom line of copyright protection is an administrative protection path to help generative artificial intelligence copyright protection efforts to promote the healthy development of the two in the integration.
Discussion on Teaching Reform of Integrating Big Data into Finance and Economics Majors in Colleges
Authors: Zhang Hongbo , Fu Pengcheng
Published: July 2024

The era of big data poses new challenges to talent cultivation in Chinese colleges.Taking finance and economics majors as an example, due to their ability requirements for data processing, analysis, and mining, it is imperative to integrate big data technology in finance and economics teaching.However, currently, when implementing big data teaching reform in colleges, there are problems such as insufficient ideological understanding, lack of interdisciplinary integration, and lack of innovation in teaching content.To solve the above problems, colleges should actively transform their thinking and understanding, scientifically and reasonably construct interdisciplinary integration of big data, innovate teaching methods, and build a talent training system for big data application.Based on this, this article mainly explores the reform of integrating big data teaching in finance and economics majors, in order to improve the quality of talent cultivation in finance and economics majors and promote the healthy development of China's economy and society.
Kişisel Verilerin Korunması Kanunu’nda Öngörülen Meşru Menfaat Kavramının Ticaret Şirketleri Bakımından Değerlendirilmesi
Authors: Saat Dursun
Published: July 2024

6698 sayılı Kişisel Verilerin Korunması Kanunu (KVKK) yürürlüğe girmesi ile tüm alanlarda olduğu gibi ticaret şirketlerinin faaliyetlerini de derinden etkilemiştir. Veri işlemede ana kural açık rıza olsa da yasama organı Kanun’un 5. maddesinin 2. fıkrasında bu kurala istisnalar getirmiştir. Çalışmamızda KVKK m. 5/2-f’de düzenlenen ”İlgili kişinin temel hak ve özgürlüklerine zarar vermemek kaydıyla, veri sorumlusunun meşru menfaatleri için veri işlenmesinin zorunlu olması” madde metni unsurlarına ayrılarak ele alınacak ve özellikle menfaat kavramının şirketler hukukundaki anlamı tespit edilmeye çalışılacaktır. Bu kapsamda konunun daha iyi anlaşılabilmesi için öncelikle KVKK’ da yer verilen temel kavramlara ilişkin açıklama yapılacaktır. Sonrasında ise KVKK m. 5/2-f’de yer alan düzenlemenin bir hukuka uygunluk sebebi olduğu üzerinde durularak bu hükmün ticaret şirketleri bakımından anlamı ifade edilecektir.
Modelos de periodización del entrenamiento empleados en la natación convencional y para natación: Una revisión sistemática
Authors: Izquierdo Rodríguez Esteban , Galeano Virgen Julian David , Orejuela Aristizábal Diego Fernando , López Ulchur Viviana Amparo , Castro Rengifo Angee Catalina
Published: July 2024

El objetivo de esta investigación es realizar una revisión sistemática de la literatura acerca de los modelos de periodización empleados en la natación y la para natación en deportistas de alto rendimiento, para lo cual, se realizó la búsqueda en diferentes bases de datos electrónicas como Google Académico, Dialnet, SportDiscus y SciELO, siguiendo las directrices PRISMA. Los criterios de inclusión fueron: (1) estudios que implementaran una estructura o modelo de periodización, (2) que incluyeran nadadores de nivel competitivo en Natación carreras o para natación, (3) con menos de 10 años de antigüedad, (4) publicados en revistas científicas. Se identificaron un total de 56 estudios potenciales, de los cuales 7 cumplieron con los criterios de inclusión. De los 7 estudios incluidos, 6 fueron realizados con deportistas de natación y 1 con deportistas de para natación. En la natación se evidenció 5 modelos de periodización utilizados: periodización tradicional, ATR, periodización inversa, polarizado y por modelamiento, por otro lado, en la para natación, se utilizó el modelo de periodización tradicional. En ambas modalidades deportivas, los modelos de periodización empleados evidenciaron mejoras significativas en el rendimiento de los deportistas. Los resultados de esta investigación muestran que los modelos de periodización son efectivos para la mejora del rendimiento de los deportistas de natación y para natación, no obstante, son necesarios más estudios para determinar el efecto de los modelos de periodización en relación al nivel de experiencia de los deportistas. Además, se necesitan más estudios para determinar el uso de otros modelos de periodización en la para natación.
THE ISSUE OF FORENSIC SUPPORT FOR THE THEORY AND PRACTICE OF INVESTIGATING CRIMES COMMITTED IN THE AGRICULTURAL SECTOR
Authors: Грибунов О.П.
Published: July 2024

В 2005 году в российский внутриполитический оборот было введено новое понятие – «национальный проект», которое представляет собой разновидность федеральной целевой программы, поскольку утверждается Правительством в форме таких документов. В продолжение государственной деятельности по стимулированию развития отраслей экономики в 2008 году на смену приоритетным национальным проектам были приняты Государственные программы развития, которые с 2013 года в большинстве своем рассчитаны до 2020 или 2025 годов. Одним из первых национальных проектов был проект «Развитие агропромышленного комплекса (далее – АПК)». Кроме того, в настоящее время, учитывая реалии санкционного периода, АПК становится одним из важных направлений деятельности государства как элемент национальной безопасности. В этой связи научное освещение вопросов криминалистического обеспечения деятельности правоохранительных органов по раскрытию, расследованию и предупреждению преступлений, совершаемых в сфере агропромышленного комплекса, является необходимым условием совершенствования правоприменительной практики, что, собственно, и реализовано в диссертационном исследовании Пахомова Сергея Валерьевича на тему «Криминалистическая теория и практика расследования преступлений, совершаемых в сфере агропромышленного комплекса», представленной к защите на соискание ученой степени доктора юридических наук по специальности 5.1.4. Уголовно-правовые науки

In 2005, a new concept was introduced into Russian domestic political circulation – “national project”, which is a type of federal target program, since it is approved by the Government in the form of such documents. In continuation of government activities to stimulate the development of economic sectors, in 2008, State Development Programs were adopted to replace priority national projects, which since 2013 are mostly designed until 2020 or 2025. One of the first national projects was the project “Development of the agro-industrial complex (hereinafter referred to as the agro-industrial complex)”. In addition, at present, given the realities of the sanctions period, the agro-industrial complex is becoming one of the important areas of state activity as an element of national security. In this regard, scientific coverage of issues of forensic support for the activities of law enforcement agencies in detecting, investigating and preventing crimes committed in the agro-industrial complex is a necessary condition for improving law enforcement prac-tice, which, in fact, is implemented in the dissertation research of Sergei Valerievich Pakhomov on the topic “Forensic theory and practice of investigating crimes committed in the sphere of the agro-industrial complex”, submitted for defense for the academic degree of Doctor of Law in specialty 5.1.4. Criminal Law Sciences
ON THE DEFINITION OF THE CONCEPT OF «CRIMINAL LAW MENTALITY»
Authors: Чихрадзе А.М.
Published: July 2024

Статья посвящена исследованию теоретических проблем, связанных с определением понятия «ментальность» с точки зрения уголовного права. Проведено исследование правовой природы понятия с точки зрения как общетеоретических наук, так и юриспруденции, установлены его влияние и взаимосвязь с объективным правом, наиболее существенные признаки, определены факторы, оказывающие непосредственное влияние на становление и развитие категории «уголовно-правовая ментальность». На основании выделенных признаков сформирована авторская дефиниция понятия «уголовно-правовая ментальность».

The article is devoted to the study of theoretical problems of defining the concept of "mentality" from the point of view of criminal law. A study of its legal nature has been conducted both from the point of view of general theoretical sciences and jurisprudence, its influence and relationship with objective law have been established, the most significant signs have been identified, and factors that have a direct impact on the formation and development of the category of "criminal law mentality" have been identified. Based on the selected features, the author's definition of "criminal law mentality" was formed
CUSTOMER SEGMENTATION USING MACHINE LEARNING
Authors: D Kiran ,   Department of MCA, UBDTCE, Davangere, C Ashwini ,   Department of MCA, UBDTCE, Davangere
Published: July 2024

Businesses need to identify and segment their consumer base in order to effectively customize their strategies and improve customer satisfaction in the highly competitive market landscape of today. The goal of this study is to employ machine learning techniques to create a strong consumer segmentation model that will classify customers according to their demographics, behaviors, and purchase histories. Through the use of multiple clustering methods, including K-means, DBSCAN, and Hierarchical Clustering, the model seeks to find unique customer segments with shared attributes. To accomplish optimal segmentation, the segmentation process entails three steps: feature selection to identify the most significant features, model training, and data preprocessing to manage missing values and outliers. In-depth segment analysis is also included in the report to offer practical insights for better client retention tactics, tailored recommendations, and focused marketing efforts. The results of the study illustrate how machine learning may be used to find hidden patterns in consumer data, giving organizations the ability to make data- driven decisions. Organizations may improve their marketing efforts, allocate resources more efficiently, and eventually increase customer engagement and profitability by putting this customer segmentation strategy into practice. Key Words: K-Means Clustering, Hierarchical Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Cluster Plotting, Heatmaps, customer relationship management (CRM) system.
Research Paper on Artificial Intelligence
Authors: Sharma Brahmansh ,   KALINGA UNIVERSITY RAIPUR (CHHATTISGARH) INDIA
Published: July 2024

Artificial Intelligence (AI) has emerged as a transformative force across various sectors, revolutionizing processes, enhancing efficiency, and redefining innovation. This research paper delves into the multifaceted landscape of AI, focusing on its applications, knowledge representation, and implications for innovation. The paper begins by exploring the diverse applications of AI across healthcare, gaming, finance, data security, social media, robotics, and e-commerce. In healthcare, AI aids in diagnosis and patient care, while in gaming, it enables strategic game play and enhances user experience. The finance sector leverages AI for automation, analytics, and algorithmic trading, improving decision-making and customer service. AI also plays a vital role in ensuring data security through advanced detection systems, manages vast social media data for enhanced user engagement, and drives innovation in robotics and e-commerce. Moving forward, the paper delves into the realm of expert systems and knowledge representation, elucidating the role of AI in simulating human expertise and modeling complex information structures. It discusses various aspects of knowledge representation, such as propositional knowledge representation, image retrieval, functional relationships between objects, and class representation formalism, highlighting their significance in developing intelligent systems. Furthermore, the paper examines the integration of AI in maintenance practices, both for tangible systems like engineering workshops and intangible products like data extraction wrappers. It underscores the importance of AI in optimizing operational efficiency, reducing downtime, and ensuring continuous data extraction. Lastly, the paper explores the concept of deep learning as a general- purpose invention, discussing its potential implications for innovation, management, institutions, and policy. It addresses key issues such as the management and organization of innovation, intellectual property rights, competition policy, and the cumulative knowledge production facilitated by deep learning. In conclusion, this research paper provides a comprehensive overview of AI's transformative potential, emphasizing the need for further research and analysis to fully comprehend its impact on society, economy, and innovation.
Categorizing Dermatological Malignancies Via Computational Methods
Authors: Singh Jahnavi Raghava ,   Department of CSE, ISTS Engineering College, Rajahmundry, India, Gopi J , Santosh ,V.Anil , Babu DDD Suri
Published: July 2024

In this study, a machine learning model is developed to classify different types of cancer using convolutional neural networks (CNNs) for image processing. The core objective is to achieve a performance level comparable to that of dermatologists. The model is trained on a substantial dataset of medical images, enabling it to learn and recognize various characteristics indicative of different cancer types. By leveraging the power of CNNs, the model can process these images effectively, identifying subtle patterns and features that are often challenging to detect with the naked eye. The training process involves feeding the CNN with labelled images, enabling it to differentiate between benign and malignant cases with high accuracy. Through rigorous testing, the model demonstrates competence on par with experienced dermatologists, both in terms of sensitivity and specificity. This equivalence in performance is particularly significant as it underscores the model's potential to aid in clinical settings, providing reliable second opinions and enhancing diagnostic workflows. A user interface is also developed to allow input images to be analysed by the trained CNN model. This interface not only displays the model’s predictions but also provides essential metrics such as confidence scores and probability distributions. These metrics offer valuable insights into the model's decision-making process, aiding clinicians in understanding and trusting the AI's assessments. Overall, the findings suggest that convolutional neural networks hold substantial promise for improving cancer diagnosis. The model's high performance in classification tasks demonstrates its viability as a tool for supporting dermatologists in clinical practice. By reducing diagnostic errors and accelerating the identification process, this technology has the potential to significantly impact patient outcomes and advance the field of medical imaging and diagnostics. Keywords: Convolutional Neural Networks (CNNs); Cancer Classification; Medical Image Processing; Dermatology AI; Diagnostic Accuracy
Pengaruh Dampak Kebijakan Moneter Terhadap Pertumbuhan Ekonomi Indonesia
Authors: Latuheru Anita , Ricardo Parera Jemy
Published: July 2024

Penelitian ini berjudul pengaruh dampak kebijakan moneter terhadap pertumbuhan ekonomi di Indonesia tahun 2019-2023. Adapun tujuan penelitian ini adalah untuk menganalisis pengaruh Inflasi terhadap pertumbuhan ekonomi di Indonesia tahun 2019-2023. Jenis penelitian yang digunakan dalam penelitian ini merupakan penelitian kuantitatif. Dalam penelitian ini data yang digunakan adalah data inflasi dan pertumbuhan ekonomi di Indonesia tahun 2019-2023. Model Analisis yang digunakan adalah SPSS 17.0. dengan melihat pengaruh dan hasil sebagai berikut: Pertama, inflasi berpengaruh dan tidak signifikan terhadap pertumbuhan ekonomi,  dengan nilai R Square sebesar 0,314 yang menunjukkan bahwa 31,4% pertumbuhan ekonomi dipengaruhi oleh inflasi.. Kedua, Hasil analisis menunjukkan bahwa kebijakan moneter memainkan peran penting dalam mendukung pertumbuhan ekonomi dan mengendalikan tingkat inflasi.
Pengaruh Kualitas Pelayanan Terhadap Tingkat Kepuasan Pelanggan Pengguna Jasa Shopee Express
Authors: Salahudin  , Hartono Aji , Juliansi
Published: July 2024

Meningkatnya pelayanan jasa pengiriman barang di Indonesia mengakibatkan semakin banyaknya jasa pengiriman barang berlomba-lomba menarik minat konsumen tak terkecuali Shopee Express. Salah satu cara menarik minat konsumen yaitu dengan memberikan pelayanan yang baik untuk memberikan kepuasan kepada pengguna jasa Shopee Express. Penelitian ini menggunakan metode penelitian kuantitatif dengan jumlah sampel sebanyak 112 dengan teknik pengambilan sampel berupa accidental sampling. Hasil penelitian menunjukkan bahwa kualitas pelayanan berpengaruh positif terhadap kepuasan pelanggan pengguna jasa Shopee Express dengan nilai konstan sebesar 3,769 dan nilai variabel kualitas pelayanan 0,48. Nilai uji t (hitung) 11,283 > t (tabel) 1,98157 maka tolak H0 dan nilai R Square sebesar 53,6%. Hasil pengujian asumsi klasik dan uji validitas serta reliabilitas data berdistribusi normal dan memenuhi syarat.
Pengaruh Firm Size Yang Memoderasi Produk Akad Wadiah terhadap Kualitas Pembiayaan (NPF) Pada Bank Syariah
Authors: Ubaidilbar Agusty Rizal , Wahyu Hestya Budianto Eka
Published: July 2024

Penelitian ini menganalisis pengaruh Simpanan Giro Wadiah, Simpanan Tabungan Wadiah, dan Bonus Wadiah pada Non Performing Financing (NPF) Nett, dengan Firm Size sebagai variabel moderasi pada perbankan syariah di Indonesia. Data panel dari 5 bank syariah (Bank Muamalat Indonesia, Bank Syariah Indonesia, Bank Bukopin Syariah, BCA Syariah, dan Bank Aceh Syariah) periode 2018.Q1 s/d 2023.Q3 diolah dengan regresi data panel dan Moderated Regression Analysis (MRA). Hasil penelitian menunjukkan: 1.) Simpanan Giro wadiah, Tabungan Wadiah, dan Bonus wadiah berpengaruh terhadap Non Perfoming Financing (NPF) nett ; 2.) Firm size mampu memoderasi Pengaruh Simpanan Giro Wadiah dan Simpanan Tabungan Wadiah Sedangkan Firm size tidak mampu memoderasi pengaruh Bonus wadiah pada Non Perfoming Fianancing Nett pada Perbankan Syariah pada tahun 2018Q1-2023Q3 . Pada penelitian berikutnya diharapkan bisa memakai Variabel selain yang dapat menjadi variabel moderasi. Lebih lanjut, kami menyarankan agar penelitian selanjutnya bukan cuma melihat perusahaan  dari sudut pandang keuangan saja, tetapi juga  dari bagian lain dalam perusahaan agar temuannya dapat tercermin pada area lain dalam perusahaan.
Why engineered carbon removals are at odds with energy security and affordability: Tackling the costs and risks in net zero strategies
Authors: Quiggin Daniel
Published: July 2024

At the heart of net zero is a reliance on negative emissions, or carbon removals, to counterbalance emissions from sectors such as agriculture, shipping and aviation that are technically and economically very difficult to decarbonize. But the costs of engineered carbon removals – which rely on human-made technologies rather than nature-based solutions – could be prohibitive at the scale currently envisaged in many countries’ net zero strategies. These costs are incompatible with governments’ focus on energy security and affordability.

This research paper analyses the costs for bioenergy with carbon capture and storage (BECCS) and direct air carbon capture and storage (DACCS). It proposes that there is scope for their high costs, as well as the risks, to be shared and minimized through a more collaborative international approach.

Even so, BECCS and DACCS will not be low-cost technologies, particularly compared with renewables like wind and solar, or batteries for electric vehicles. This means that greater focus must be placed on energy efficiency and demand management to reduce reliance on engineered carbon removals, and to ease energy security and affordability concerns.
Analysis Of The Preparation Of Risk-Based Annual Supervision Work Program (Pkpt) At The Banyuwangi Regency Inspectorate
Authors: Maulana Drajad Surya , Wardayanti Siti Maria , Kustono Alwan Sri , Wasito Wasito
Published: July 2024

This research aims to provide information and reference materials related to the Annual Supervision Work Program (PKPT) for the Banyuwangi Regency Inspectorate agency. This research is qualitative. The results of this research are expected to improve the Banyuwangi Regency Inspectorate to improve its work program based on risk. Risk-based PKPT guidelines were also made by researchers so that they could be the basis for making risk-based PKPT. The method used in this study is qualitative. The result of this study is the formation of a risk-based PKPT in accordance with regional development goals. The risk-based concept has begun to be mitigated from the beginning so that the assignments that will be carried out by auditors are going well. The existence of inhibiting factors in the preparation of risk-based PKPT can be minimized by auditors so that the goals of the Inspectorate organization can be achieved.
Ultrasound-guided neuraxial anesthesia versus the use of anatomical landmarks in the elderly: prospective cohort study
Authors: Caballero-Lozada Andrés Fabricio , Sakamoto-T Genji , Carreño-Medina Diana , Pantoja Maria Fernanda , Velásquez Fernando , Velásquez Andrés
Published: July 2024

Introduction: Spinal anesthesia requires palpation of surfaces in order to identify the intervertebral spaces in the lumbar spine. In elderly individuals, the procedure is more challenging due to age-related degenerative changes in the spine.
Objective: To determine which technique between ultrasound (US) guidance or the use of anatomical landmarks to guide spinal anesthesia ensures a higher success rate in elderly patients.
Methods: Prospective observational cohort study in patients with an indication to receive subarachnoid anesthesia, regardless of the type of surgical intervention, carried out at Hospital Universitario del Valle and Fundación Hospital San José Buga. Data were collected over a 12-month period at the time of making the puncture. The treating anesthetists were free to choose between US guidance or the use of anatomical landmarks.
Results: Overall, 80 patients were assessed, including men and women over 65 years of age (mean 78.50±9.04). The number of punctures as well as needle redirections were significantly lower in the US-guided group. Additionally, in the group in which anatomical landmarks were used to guide the puncture, the marked site did not coincide with the actual puncture site confirmed with US in 37.5% of cases (p<0.001). This could result in inadequate block or complications associated with intradural puncture.
Conclusions: US-guided neuroaxial anesthesia in elderly individuals could facilitate success on the first attempt.
Analisis Disiplin Kerja Pada CV Arsana Sentosa
Authors: Aniqa Asriah  , Enjang Suherman
Published: July 2024

The purpose of this research is to understand the process of employee discipline at CV. Arsana Sentosa, identify barriers in the implementation of employee discipline, and find ways to overcome these barriers. The method used is qualitative descriptive analysis. The analysis results show that the implementation of Standard Operational Procedures (SOP) at CV. Arsana Sentosa provides significant benefits if done properly according to their functions. If employee discipline at CV. Arsana Sentosa decreases, the profit obtained will also decrease, even leading to losses. From previous discussions, it can be concluded that the implementation of discipline at CV. Arsana Sentosa, particularly in the use of fire extinguisher cylinders, has a significant impact if employees implement discipline well. This can be seen from the discipline system at CV. Arsana Sentosa, which is in line with the applicable regulations. However, there are still things that need to be improved, such as employees needing to have principles in managing time and being perfectionists without delaying tasks.
Effect of implicit and explicit learning on the dart throwing task in the morningness-eveningness people
Authors: Ghorbanzadeh Behrouz , Yaali Rasoul , Orangi Behzad Mohammadi , Miri Zahra
Published: July 2024

The interaction of constraints causes learning. It was examined how explicit and implicit learning affected the dart-throwing task in morningness-eveningness people to test this claim. 120 morning-type individuals (AgeM ± SD = 23.38 ± 2.58) were chosen using the MESSi questionnaire. Then, randomly divided into four 30-person groups: explicit morning practice, implicit morning practice, explicit evening practice, and implicit evening practice. Each group received 10 training sessions (3 sets of 10 attempts). Mixed ANOVA (4x4) demonstrated significant main effects of different tests, group, and group test interaction. Additionally, Tukey's test demonstrated that explicit training groups outperformed implicit training groups in both immediate and delayed retention tests. The retention test with a two-week delay and transfer test outperformed explicit training groups. So, it can be said to some extent that implicit practice outperforms explicit. Learning will last longer if this practice is based on individual characteristics like circadian rhythm.
Developing a Research Agenda for Resilient Systems and Innovative Practices in ODeL: Findings from a National Study
Authors: Ofulue Christine , Opateye Johnson , Awolumate Samuel , Olakulehin Felix Kayode , Adesina Adewale , Yabo Armiya’u M. , Ugoala Bibian , Oluyide Oluwaseun , Ojedeji. Solomon
Published: July 2024

The Covid-19 pandemic exposed significant weaknesses in education systems globally, with many African countries, including Nigeria, struggling to respond swiftly to its impact. In Nigeria, the challenge was compounded by ongoing insurgency and insecurity, leading to extended school closures. To mitigate these disruptions, educational institutions adopted emergency remote teaching and learning methods, indirectly highlighting the potential of open, distance, and eLearning (ODeL). However, these initiatives often lacked proper ODeL design and pedagogical components. In response to these issues, a National Research Fund project, sponsored by the Tertiary Education Trust Fund (TETFund) titled "Setting an Agenda for Research into Open, Distance, and eLearning in the Global South: Nigeria as a Case Study" was initiated. The project aimed to identify gaps, high-priority areas, and research trends in ODeL to inform policy and guide practices amidst numerous challenges. This study aimed to investigate priority areas within ODeL that deserve more research attention and to offer insights into how this research could contribute to more resilient educational systems and promote innovative practices. The study employed a mixed-method approach, starting with an online survey of randomly selected 382 ODeL practitioners from Nigerian higher education institutions, followed by in-depth interviews with 26 purposefully selected ODeL experts. The findings revealed a consensus on key research areas, including learner support, technology, and instructional delivery. The study identified emerging research priorities specific to the African context. Addressing these key areas could significantly contribute to developing resilient education systems and promoting innovative educational practices in Nigeria and beyond.