bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang Bangun Timbangan Digital dengan Menampilkan Berat dan Harga Menggunakan Output Suara Berbasis Internet of Things (IoT)
Authors: Dwiyanti Vera , Rose Martinus Mujur , Zefi Suzan
Published: December 2023

Salah satu ilmu pengetahuan yang di butuhkan manusia adalah teknologi. Laju kemajuan teknologi semakin cepat, baik teknologi yang berbasis perangkat elektronik maupun komputer, termasuk Internet of Things (IoT). Internet of Things (IoT) adalah konsep yang bertujuan untuk meningkatkan manfaat dari koneksi internet yang terhubung terus menerus. Pada laporan akhir ini, dibuat suatu alat yang akan berhubungan dengan Internet of Things (IoT), yaitu Timbangan Digital yang dapat mengeluarkan suara berbasis Internet of Things (IoT). Timbangan merupakan alat yang digunakan sebagai alat untuk mengukur berat dari suatu benda atau lainnya. Timbangan telah terbagi menjadi 2 jenis yaitu timbangan digital dan mekanik. Timbangan banyak digunakan di industri dan komersial, mulai dari produk yang ringan hingga berat yang dijual sesuai permintaan. Pada alat yang dibuat ini akan menggunakan timbangan digital sebagai hasil rancang bangun untuk laporan akhir, dengan merancang timbangan digital yang dapat mengeluarkan suara sesuai dengan berat yang ditimbang dan dilanjutkan dengan harga dari berat tersebut. Dengan itu maka diperlukannya komponen yang mendukung agar rancang bangun timbangan digital ini dapat berhasil diwujudkan sesuai dengan harapan, komponen yang digunakan antara lain adalah Sensor Loadcell, Modul HX711, LCD, NodeMCU ESP 8266, android dan DF Mini Player.
Sistem Smart Infus Berbasis Android dan Website
Authors: Kinasih Ayu Antika Sekar , Handayani Ade Silvia , Hadi Irawan , Husni Nyayu Latifah , Chodijah Siti
Published: December 2023

Penelitian ini menyajikan sebuah sistem smart infus berbasis aplikasi Android dan website yang bertujuan untuk memonitoring dan mengontrol infus dari jarak jauh. Sistem infus yang inovatif ini berhasil menampilkan hasil monitoring infus dari setiap ruangan pasien yang memiliki parameter seperti berat infus, kecepatan tetesan infus, estimasi infus dan kondisi infus melalui website dan hasil pengontrolan setiap tetesan infus pada aplikasi Android. Kelebihan dari sistem ini adalah memudahkan pelayanan tenaga medis dalam melakukan pemantauan dan pengontrolan infus dari jarak jauh tanpa harus memantau dan mengontrol secara langsung dari ruangan ke ruangan.
DEPOLAMA YERİ ATAMA PROBLEMLERİ İÇİN VBA İLE MACAR ALGORİTMASI UYGULAMASI
Authors: İNANÇ Şahin , EREN ŞENARAS Arzu , ŞENARAS Onur Mesut
Published: December 2023

Atama modellerinde amaç, etkinliği maksimum kılmak için kaynak kullanımının bire bir dağıtımını sağlamaktır. Depolama yeri atama problemleri Macar yöntemi ile pratik bir şekilde çözülebilir. Ancak problem boyutu arttıkça en iyi sonuçların bulunması da oldukça zordur. Makalede ele alınan depolama yeri atama problemini çözmek için Macar Algoritması kullanılmıştır. Bu çalışmada, depo atama problemini çözmek için iyi bilinen, popüler ve yaygın olarak kullanılan Macar yöntemi MS Excel Visual Basic Application’da geliştirilen program yardımı ile gerçekleştirilmiştir. Depolama yeri atama problemlerinin çözümünde kesin çözüm sağlayan Yöneylem Araştırması tekniklerinden Macar Yönteminin MS Excel ile pratik olarak çözülmesi sağlanmıştır. Bu çalışma, depolama Yeri Atama problemlerinin çözümüne ışık tutacaktır.
DEVELOPMENT OF DIGITAL COMMERCE OF ENTERPRISES IN TODAY'S REALITIES
Authors:   State University of Information and Communication Technologies, Kyiv, Gudz O. Ye.
Published: December 2023

The article specifies the essence and content of digital commerce, which should be presented through its components: objects of digital commerce; subjects of digital commerce, technological digital procedures; various information and communication technologies and means; the key strategic requirements for the organization of digital commerce are determined (feasibility; systematicity; complexity; specificity; balance; scientificity; reliability; constructiveness; adequacy; invariance); trends in the development of digital commerce of enterprises in today's realities are revealed, which are closely intertwined with the intensity and vector of development and distribution Internet, the existing potential opportunities, threats, advantages and disadvantages of the development of digital commerce of enterprises are considered, the main factors restraining the development of digital commerce of domestic enterprises are determined (lack of own funds, significant costs for the implementation of digital commerce, high economic risks of digital commerce, imperfection of the regulatory framework of digital commerce, long payback period of digital commerce innovations, lack of information about new digital commerce technologies, lack of competent employees), the key features of the digital commerce development model of enterprises in today's realities are outlined: low input business barriers; number and assortment of market niches; number of income channels; democracy and trust in digital technologies; accessibility and simplicity of digital technologies; the universality and spectrum of access channels and the justified need to take into account and eliminate the disadvantages of digital commerce (computer forgeries and fraud; violation of the confidentiality of transactions; low quality of communication networks; low bandwidth of information channels; low speed of transmission of commercial information; narrow distribution of automated systems; uncertainty of reality the existence of a consumer or counterparty; lack of universal standards of communication interactions; inadequate protection against cyber risks).
DEVELOPMENT OF THE STRATEGY FOR THE ENTERPRISE OF THE UKRAINIAN COMPANY ON THE INTERNATIONAL BUSINESS MARKET UNDER MODERN CONDITIONS
Authors:   State University of Information and Communication Technologies, Kyiv, Makovetska I. M.
Published: December 2023

The article deals with the development of a strategy for a Ukrainian enterprise to enter the international business market under modern conditions, which would allow the enterprise to strengthen its position on the foreign market. The model of strategic management of the enterprise is described, thanks to which the management's decision to enter the international market requires the development of a concept and strategy for the development of its foreign economic activity. Development of nationally oriented marketing into international requires adaptation of the entire marketing complex, starting with the analysis of external ones factors affecting the company, ending with behavioral characteristics the latter in after-sales service, as well as its investment activity, with taking into account the interests of consumers of foreign markets. Decisions made by companies in this area have a strategic and tactical aspect. The conditions of activity in international markets for the exit of Ukrainian enterprises and organizations to foreign markets are considered, which will provide new opportunities for doing business in modern conditions. Therefore, to ensure effective foreign economic activity the company needs to clearly define its development strategy, which will provide long-term benefits in the future competitive advantages. The entry of a business into the international arena allows attracting new customers and reducing risk losses, increase the competitiveness of the enterprise and increase its capitalization. A foreign economic strategy is necessary for the enterprise as a means of achieving uniqueness, recognition and image reflection as a whole. The article defines factors that determine the necessity and possibility of enterprises entering the foreign market: market factors potential and market environment, technological, economic, competitive factors.
IMPROVEMENT OF THE INNOVATIVE ENVIRONMENT OF THE ENTERPRISE IN ADAPTATION TO MARKET CONDITIONS
Authors:   State University of Information and Communication Technologies, Kyiv, Makovetska I. M.
Published: December 2023

The article is devoted to the analysis of the innovative environment of the enterprise and the importance of its improvement during adaptation to market conditions. Achieving and maintaining the competitive advantages of the enterprise is possible with the effective use of innovations. Innovative processes at the enterprise are described, which are a complex and multi-stage phenomenon that includes the use of not only financial, but also human resources and are aimed at improving not only the enterprise's activity itself, but also the entire innovation environment. The innovation process takes place according to the development scenario at the enterprise: there is a significant personnel potential, a gradual increase in the educational level of employees, but outdated equipment, low financial support for innovative activities. The key points of the organization of innovative activities at the enterprise are presented, where success, like failure, depends on many factors and, mainly, on the correct identification of the prospects for the introduction of innovations with consideration of adaptability to internal and external market conditions. The innovative potential and its features are considered due to the introduction of the corresponding innovation department based on the principles of corporate management to improve the innovative environment of the enterprise.
THE INFLUENCE OF SOCIAL IDENTITY ON STRUCTURING THE SUCCESS OF A MODERN MANAGER IN PUBLIC ADMINISTRATION
Authors:   State University of Information and Communication Technologies, Kyiv, Novachenko T.
Published: December 2023

This article is devoted to the substantiation of the influence of social identity on the construction of the success of a modern leader in public administration. The theoretical, methodological and practical work of foreign and modern Ukrainian scientists became the basis for the study of the outlined topic. It has been proven that success is a phenomenon conditioned by the continuous hard work of a modern manager, in particular in the context of achieving a high level of professional competence, the application of reflection and self-management, the result of which is rewarded with social-psychological professional self-realization. The social component points to the relationship with social systems, and the psychological component points to the conscious and unconscious, namely: the collective unconscious - a pair of opposites that, complementing each other, create conditions for the creation and development of a leaderʼs integral personality. As one of the ways of the outlined process, we define the acquisition of a societal (system-wide) identity by a modern leader. In this context, the characteristics of psychosocial properties, introversion, pragmatism, rationality, sensitivity, internality, intentionality, are given, which are defining for the current era of social development - postmodern and correspond to the mode of social identity. The dynamics of societal changes in Ukraine in 2023, conducted by the Ukrainian Institute of Sociological Research and the Ukrainian School of Archetypes, are presented. Thus, from the six properties characterized above, which are inherent in social identity, a progressive progress is observed in relation to rationality and sensitivity. It was determined that the demand for a rapid change in human qualities was caused by the war, which actualized the phenomenon of social identity for a manager in public administration, which is flexible, adaptable to modern realities, creates an atmosphere of trust and conditions for training, cultural development, partnership and cooperation.
La construcción del sujeto afro a partir de las prácticas pedagógicas
Authors: Bejarano Chamorro Jessica Andrea , Bolaños Pasos Yanithza Hermencia
Published: December 2023

Hablar de la costa pacífica nariñense conlleva a explorar un amplio contexto de tradiciones, costumbres y prácticas que definen la cultura e idiosincrasia del ser afro, por tal razón, en este artículo se presentan los hallazgos de la investigación, a través de los cuales se resalta la importancia de fortalecer, preservar y respetar la cultura y los saberes ancestrales de la comunidad afro en el ámbito escolar. El estudio en cuestión se desarrolló con maestras afrocolombianas de los municipios de Tumaco y La Tola Nariño, para lo cual, la metodología fue de carácter cualitativo con enfoque etnográfico, apoyado en el análisis documental, cumpliendo así con el propósito de identificar los escenarios de aprendizaje y las estrategias metodológicas utilizadas por las maestras. De igual manera, se logró analizar la pertinencia de la práctica pedagógica respecto a las verdaderas necesidades de formación que se suscitan en la comunidad educativa afronariñense.
Los niños sujetos de derechos: un posible mapeo de la cuestión
Authors: Cardona Alarcón Lorena , Gutiérrez Giraldo Verónica
Published: December 2023

El presente artículo de revisión tiene como objetivo principal esbozar algunos elementos conceptuales fundamentales que abarcan el tópico “los niños son sujetos de derechos”. Se trata de un documento resultado de una revisión del estado de la cuestión en torno a la temática mencionada. El ejercicio se sustenta en la revisión bibliográfica e identificación de 50 fuentes en revistas indexadas localizadas en bases de datos como: Scielo, Redalyc, Publindex, Scopus, Ebsco, Dialnet, Doaj y Latindex, las cuales fueron sometidas a un análisis y sistematización rigurosa que permitiera construir un posible andamiaje teórico reciente.
De esta forma, se pretende realizar un acercamiento a la realidad de la infancia, reconociendo que este grupo social se encuentra en desventaja para llevar a cabo acciones que les permitan reivindicar sus propios derechos. A menudo, los adultos, al tener diversas concepciones acerca de la infancia, desconocen la importancia de este grupo de seres humanos y su papel fundamental en el tejido social. Por lo tanto, necesitan de los adultos para ser sus voceros y abogar por sus necesidades. Sin embargo, se comprende que a medida que los niños crecen, también aumenta su capacidad para convertirse en actores sociales en la defensa de sus propios derechos.
Manejo de residuos sólidos inorgánicos mediante la elaboración de la cartilla ‘Conociendo y aplicando, vamos mejorando’, como estrategia pedagógica en la Institución Educativa Rural Ecológica El Cuembí – IEREC
Authors: Parra Murillo Claudia Milena , Trujillo Rosero Mariela de Jesús
Published: December 2023

Durante los últimos años se ha incrementado significativamente la producción de residuos sólidos inorgánicos, ocasionando un alto aumento de la contaminación de suelos y fuentes fluviales. La falta de conciencia sobre el uso de estos residuos ha limitado la posibilidad de que se consolide una cultura ambiental que se preocupe por la conservación y protección de la naturaleza. El estudio buscó fomentar el manejo adecuado de residuos sólidos inorgánicos medianteuna propuesta didáctica enfocada en la elaboración de una cartilla que contiene conceptos y respuestas a las preguntas sobre el manejo adecuado de residuos sólidos inorgánicos dentro de la Institución Educativa Rural Ecológica El Cuembí.Se estructuró bajo el enfoque cualitativo, con un diseño de investigación acción participativa. Se utilizó técnicas como las encuestas, entrevistas y, la observación abierta. Esta propuesta se desarrolló en grupos focales de ocho estudiantesdesde el grado cuarto de básica primaria hasta el grado undécimo de media secundaria. Los resultados demostraron la deficiencia de la práctica ambiental que posee la institución educativa, como también el proceso de adaptación decambios referentes al manejo de residuos sólidos inorgánicos por parte de los estudiantes, los cuales han tomado una conciencia ambiental porque vivencian este tipo de situación alarmante a diario y porque se motivaron a participar enla conformación del proyecto, lo que a su vez posibilitó la construcción de la cartilla ambiental. Además, sigue la construcción de prácticas ambientales como el manejo adecuado de las canecas y la disminución en la utilización de estosresiduos.
Sintomatología musculoesquelética y riesgo disergonómico en estudiantes, durante las clases virtuales en el año 2021
Authors: Eraso-Angulo Rosa Helena , Pantoja Martínez Juan Camilo , Pantoja Bucheli Julieth Vanessa , Salazar Bastidas Lina Fernanda , Escobar Insuasti Mayra Valeria
Published: December 2023

Las alteraciones musculoesqueléticas y los síntomas que se puede presentar debido a la educación de manera virtual, ocasionan fatiga, sobrecarga o dolor en cualquiera de las zonas corporales que más se compromete, como la zonadorsal y lumbar, zona del cuello, manos y muñecas. Objetivo: determinar la presencia de sintomatología músculo esquelética y riesgo disergonómico de los estudiantes que cursaron clases virtuales en el periodo 2021-1 del programa deFisioterapia de la Universidad Mariana en tiempos de pandemia por COVID-19. Materiales y métodos: estudio cuantitativo transversal con una muestra de 74 estudiantes del programa de Fisioterapia de la Universidad Mariana; se aplicó tresinstrumentos: cuestionario de caracterización sociodemográfica y estudiantil, cuestionario nórdico y cuestionario de factores de riesgos disergonómicos y daños, a través de los cuales se realizó un análisis univariado de las variables deinterés. Resultados: el 86,4 % presenta sintomatología musculoesquelética, siendo la región dorsal con un 50 %, la zona con mayor dolor, reportando intensidades moderadas con un 35 % y, fuertes con 24 %; el 75,5 % de los estudiantes presentó riesgo alto al mantener la posición sedente por más de cuatro horas. Conclusión: la implicación de clases virtuales en la mecánica corporal predispone a la aparición de síntomas musculoesqueléticos y genera riesgo disergonómico que afecta la condición de salud de los estudiantes.
HOW CAN BOARD DIVERSITY PROMOTE CORPORATE INNOVATION? : A SYSTEMATIC LITERATURE REVIEW
Authors: Prithaningtyas Arvianti , Windijarto Windijarto
Published: December 2023

Corporate innovation plays a crucial role in companies to remain sustainable in the future. Companies can also encourage the economic strength of a country. Innovative companies can be competitive in the market by improving marketing strategies and product innovation. Therefore, they can improve company performance. The board of directors has the authority to make strategic decisions to determine company performance. Based on the results of collecting 59 pieces of literature and then analyzing them, the researchers can conclude that various board characteristics such as board gender, foreign board, and board age can influence companies to innovate. Female directors can provide valuable insight, knowledge, and skills for companies to innovate to survive in the future. Foreign boards with cross-border knowledge and international relations can implement it into companies to innovate. Young directors have a much more risk appetite and are creative in trying new things.
Eye Tracking Data Mining Based on Fuzzy Sets of Fixations
Authors: Ryabinin Konstantin , Erofeeva Elena , Guseva Kira
Published: December 2023

This paper is devoted to the novel method of automated detection of common eye gaze movement patterns by mining the data recorded in eye-tracking-based experiments. For this, a model of aggregated scanpath is proposed that represents a fuzzy set of all possible eye gaze trajectories found in the experimental data. In contrast to the traditional methods of aggregation, no averaging is used to avoid information loss. Instead, the belonging function determines the probability of each particular trajectory. The constructed fuzzy scanpath is then filtered and automatically analyzed by applying methods of network science. For this, the fixations (eye gaze stops) are represented as network nodes and saccades (eye gaze jumps) are mapped to network links. For the network composed, modularity is calculated utilizing the Louvain method of community detection. In the case of eye gaze data, modularity represents saccadic cycles, which can be mapped to the cycles of cognitive processing. Thereby, the common perception structure is retrieved. To support all the analysis steps, we proposed corresponding scalable visualization tools based on our visual analytics platform SciVi. We demonstrate the viability of our approach by analyzing the data obtained from the real-world eye-tracking-based experiment from the Digital Humanities application domain. Preliminary experiment results are discussed along with the efficacy of the proposed methods.
The Level Cardinality of Fuzzy Module Under ℤ-Module Homomorphism on ℤn into ℤm Where gcd(n, m) Is Product of Primes
Authors: Varghese Manju , Fernandez Shery
Published: December 2023

The homomorphic image of a fuzzy module of an R-module is a fuzzy module [1]. In one of our papers [2] we have proved that if f : ℤn → ℤm is a ℤ-module homomorphism with gcd(n, m) = p, a prime and λ is any fuzzy module on ℤn with any level cardinality then the fuzzy module f(λ) on ℤm has level cardinality atmost 3. In this paper, we are considering the fuzzy module homomorphism between the ℤ-modules ℤn and ℤm where n,m ∈ ℤ+ with gcd(n, m) = pq, where p and q are primes and trying to find the level cardinality of the fuzzy module f(λ) on ℤm when λ is a fuzzy module on ℤn.
A Portfolio Adjusting Model with Triangular Intuitionistic Fuzzy Return
Authors: Zhang Qiansheng , Li Jinyun
Published: December 2023

To fit the changes in the investment process, a portfolio adjusting method with triangular intuitionistic fuzzy return is put forward. The expected return rate and risk of the portfolio are characterized by mean value and variance of triangular intuitionistic fuzzy number. Then, an intuitionistic fuzzy portfolio adjusting model is established by minimizing the variance risk of portfolio and ensuring the expected return greater than some aspired return levels. Finally, an application example of stock portfolio is given to demonstrate the practicability of intuitionistic fuzzy portfolio adjusting model.
A Method to Explore the Synchronous Changes of High-Traffic Events Based on Dynamic Networks
Authors: Huang Yu-Wen , Wang Li-Na , Zang Chen-Rui
Published: December 2023

With the rapid development of mobile communication technologies, the mobile network has evolved into a highly heterogeneous network structure. Based on dynamic networks, we mainly investigated a method to explore the synchronous changes of high-traffic events. Event coincidence analysis is used to quantify the concurrency of high-traffic events. A variety of network measures are used to analyze the dynamic spatio-temporal characteristics of high-traffic. The static network is constructed to analyze the synchronous influence area and the temporal and spatial characteristics of high-traffic of base station. Taking hour as the time window, the dynamic network is constructed to study the dynamic spatio-temporal variation rule of high-traffic and the interactive relationship of traffic between base stations. It is found that static network is a small-world network. The spatial connectivity of high-traffic events at the base station is high, and the spatial connectivity is not sensitive to temporal changes. The traffic of different base stations has interactive relation at the same time in different days.
Changes of Consumer Purchase Behavior Under Data Mining Technology
Authors: Chen Zijie , Mohd Tajuddin Rosita Binti , Ren Benhui , Deng Jing
Published: December 2023

In the era of rapid development of data mining technology, diversified consumption channels have led to changes in consumer online shopping behavior. In the face of changes in consumer purchasing behavior and driven by resources, demand and data, enterprises need to innovate business models. This article aims to summarize and summarize the connotation of data mining technology, analyze the changes in consumer purchasing behavior under data mining technology, identify the dilemma of business innovation, and propose business model innovation strategies to provide management decision-making reference for enterprise e-commerce platforms. The main changes of consumers’ purchasing behavior: more rational choice of brands, more emphasis on personalized services and contract spirit, more self-directed consciousness, but the supporting policies, marketing ability, cooperation ability and risk management ability in the business model fail to keep pace with the times. Therefore, this paper gives relevant targeted strategies: create a ‘government+society’ policy support environment, pay attention to the value of user experience, upgrade business cooperation, and strengthen risk management, so as to keep up with the pace of consumer purchase behavior changes under the data mining technology.
Algorithm Model of People’s Value Identification Strategy in Intelligent Media
Authors: Liu Jianghui , Liu Yingxuan , Wu Runlong , Liu Mohan
Published: December 2023

In the age of smart media, information technology is highly developed. This has profoundly changed the way people acquire and disseminate information. In the smart media era, technology has a greater impact on people’s value identity. People are the backbone of the future society, and their ideology and values are directly related to the future direction and trend of society. Based on the general environment of the smart media era, this study will analyze the people’s value expressions of a social event on media platforms through the actual testing and verification of PCA algorithm and TF-IDF algorithm. It will classify the main component values, and calculate the TF-IDF values of the people’s value expressions. So, it can target the people with different mainstream values to conduct guided intelligent story narratives and ultimately improve the people’s values identity.
Design and Implementation of an Intelligent Mattress for Elderly Night Care Based on ZigBee Technology
Authors: Bao Yiqin , Xu Wenbin , Wang Lei
Published: December 2023

A smart mattress for night care for the elderly based on ZigBee technology is designed. The smart mattress uses flexible membrane pressure sensor and temperature sensor to realize the care of the sleep of the elderly at night. When only the flexible membrane pressure sensor of the mattress has a pressure value and the detected temperature is within the human body temperature range, it is determined that the elderly are sleeping in bed, so as to achieve the goal of nursing; And through wireless networking, real-time transmission of data is realized. The system uses the CC2630 wireless radio frequency chip as the core, and designs the hardware and software of the node and sensor interface in the ZigBee wireless sensor network. The whole system has good performance and high precision, which can better meet the requirements of intelligent care of the elderly at night.
Low-Rank Exponential Integrators for Differential Riccati Equation
Authors: Li Jingyi , Li Dongping
Published: December 2023

Differential Riccati equation (DRE) is especially important in several fields such as optimal control, filtering, and model reduction. In this paper we present matrix-based exponential integrators for the solution of DRE. The methods are suitable for stiff DRE. In particular, we develop low-rank versions of these methods to solve large-scale DRE. The performance of the proposed methods is compared to existing typical integrators.
E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7
Authors: Xu Jiajia , Zhu Changming
Published: December 2023

As the core equipment of water safety, life jackets play an indispensable role in the safety field and rescue applications. Although existing deep learning techniques and object detection methods have achieved remarkable success in various fields, there are still many challenges in applying them to life jacket detection. Complex environmental changes, occlusion problems caused by water surface fluctuations, etc. will affect the detection effect. In addition, there are relatively few datasets suitable for life jacket detection, which makes many existing detection models lack stability and generalization ability in practical application scenarios. In order to address these challenges, this paper aims to propose an efficient and accurate detection method for life jacket object detection. Specifically, we first review the relevant work of sea rescue, then collect and label a life jacket-related dataset, and then introduce EVC block based on the Yolov7 network to aggregate the local corner area information of the image, and propose an improved life jacket target detection method E-Yolov7. In the experimental and evaluation section, the proposed method was tested, comparing it with Yolov5s, Yolov7-Tiny, Yolov7x, and Yolov7. Experiments show that the improved model E-Yolov7 has better performance in the life jacket detection task, and compared with Yolov7, the precision is increased by 3.7%, the mAP is increased by 2.5% and the F1 score is increased by 2%.
Research on Influencing Factors of Non-Performing Loan Ratio of China Construction Bank Based on LASSO Algorithm
Authors: Liu Aijuan , Wu Jibo
Published: December 2023

Systematic and effective analysis and control of the non-performing loan ratio can promote the steady development of the Bank, improve the non-performing loan prevention mechanism, enhance the Bank’s risk prevention and control capabilities, and maintain the order of the financial market. This paper takes China Construction Bank as the research object, collects the relevant data such as the annual reports from 2004 to 2022, selects variables based on the LASSO algorithm, and constructs a multiple regression model. According to the research results, the provision coverage rate and the degree of government economic intervention have a negative correlation with the non-performing loan ratio of CCB, the loan-to-deposit ratio has a positive correlation with the non-performing loan ratio, and the capital adequacy ratio, GDP growth rate and business climate index have no significant impact on the non-performing loan ratio.
Derivation Algebras of Restricted Hom-Lie Triple Systems
Authors: Zhou Hanqi , Dong Yanqin , Li Xinyang , Cong Xin , Liu Bing
Published: December 2023

In this paper, we investigate the properties of derivations of restricted Hom-Lie triple systems. By giving the concepts of derivations, generalized derivations, centroids and Hom-p-subsystems, we obtain some good results on generalized derivation algebras and their subalgebras, which including the subspace ℧ satisfying some conditions in the linear transformation End(L) is a restricted Hom-Lie triple system, the generalized derivation is a Hom-p-subsystem of ℧ and the central derivation is the intersection of the centroid and the derivation. The novelty of this paper is to discuss the derivation properties of Hom-Lie triple systems on the field 𝔽 of characteristic p, which makes the derivation structure of restricted Hom-Lie triple systems more complete.
Block Multipath Matching Pursuit
Authors: Zhou Jie , Zhang Pingping
Published: December 2023

In this paper, we propose a new reconstruction algorithm called Block Multipath Matching pursuit (BMMP), which is an extension of multipath matching pursuit (MMP) in block compressed sensing. Then the reconstruction condition of BMMP based on restricted isometric property (RIP) is established. In addition, we also provides a guarantee of reconstruction in the case of noise measurement. Finally, the effectiveness and advancement of the BMMP algorithm are verified by numerical experiments.
Topic Knowledge Based Controlled Generation for Long Documents Using Retrieval-Based Language Models
Authors: Zhang Xuefei , He Peiyang , Deb Tomal , Yang Guang , Liu Xuefeng , Hu Ziqing , Mao Tianyi
Published: December 2023

Current LLM summarization systems Produce broad overviews which are disconnected from people specific interests and expectations. Basically, people preferences (topics) can be expressed by a collection of semantic keywords. Previous work exploit these keywords as extra input to generate summary. That requires additional human annotations. To tackle these constraints, we propose a novel framework, Topic Knowledge based Controlled Generation (TKCG), to control generated summaries through a set of topic keywords that are extracted automatically from source documents. First, as large language models (LLMs) are limited by context window length, we need to split the documents into small pieces like chapters acccording to the document format, as one chapter is a semantically complete section. Secondly we extract some topic keywords from source documents with a transformer-based model. These topic keywords are used to retrieve the chapters that are related to the topic. We then input the combination of topic keywords and chapters as prompts into LLM to get conditional summaries. We also demonstrate the effectiveness of TKCG on two standard datasets, MACSum and arXiv.
On a New Kind of Quartic Integro-Spline Over a Uniform Partition
Authors: Lang Feng-Gong , Zhang De-Bao
Published: December 2023

In this paper, we construct a new kind of quartic integro-spline by applying two constraints on integral values to the piecewise polynomials on the first and the last subintervals, respectively. This quartic integro-spline does not require any additional given boundary values and is relatively simple to implement. It is theoretically proved that this integro-spline has a satisfactory convergence rate for approximating unknown functions and its derivatives at the knots. Especially for an unknown function y with fifth order derivative values of 0 at the left and right endpoints, its approximation of function values and second-order derivative values may even exhibit superconvergence at the knots. Numerical experiments have verified our theoretical results and compared the differences in approximation performance between our quartic integro-spline and other integro-splines.
Blockchain Framework for Healthcare Data Management System in Clinical Trials
Authors: Abdu Nail Adeeb Ali , Wang Zhaoshun , Abdualrhman Mohammed Ahmed Ali
Published: December 2023

The concept of information management involves the identification and organization of data into distinct sectors, sometimes referred to as silos, in order to anticipate and address future situations. One of the primary obstacles encountered in the administration of clinical trials pertains to the presence of information silos among the several stakeholders involved in the process. The improvement of cooperation and integration may be achieved by processing information in real-time and implementing a comprehensive system. This manuscript evaluates the viability of implementing the blockchain model for auditing clinical trials. It also proposes a blockchain-based solution that has the potential to enhance the overall quality of the practiced solutions and establish sustainable approaches for conducting clinical trials auditing. The suggested model focuses on the development of a grid-based system for organizing the many stages of a clinical trial. This involves creating distinct blocks for each phase and then constructing a complete network of these blocks to be shared across the consortium responsible for managing the trial data. The suggested architecture has substantial potential for enhancing security and adaptability, hence facilitating systematic improvements to information systems in the context of clinical trials.
Under the Digital Background Marzano’s New Taxonomy of Educational Objectives: Conception of Deep Learning Analysis
Authors: Yang Mei , Li Jiatao
Published: December 2023

Under the digital background, Marzano’s New Taxonomy of Educational Objectives proposes a new taxonomy for classifying educational objectives, which emphasizes teaching higher levels of thinking and deals with three knowledge domains, namely, the domain of information, the domain of mental procedures, and the domain of psychomotor procedures. This study compares and analyzes the classification of different educational goals, the New Taxonomy is underlain by the conception of deep learning, which discloses the mechanism of how knowledge, thinking and emotions interact with each other and develop through learning in the information flow process. The core of deep learning in the New Taxonomy is to advocate coordinated development of cognition, meta-cognition, and self-system. The ultimate goal of deep learning is to improve the self-system by teaching high levels of thinking and developing students’ metacognition.
Real-Time Detection for Abnormal Segments of Electrocardiographic Signal During Ewing Test
Authors: Chen Xiuwen , Yang Rongqian
Published: December 2023

Ewing test is often applied to study function of autonomic nerve system. Combining Ewing test and heart rate variability (HRV) is useful for detecting autonomic dysfunction. HRV is an objective physiological signal obtained from electrocardiographic (ECG) signal. However, physical movement, baseline shifting or electrode shedding usually produce abnormal ECG signals. So, it is important to detect abnormal segments of ECG signal. In this study, we proposed an entropy algorithm with a normalized frequency distribution histogram (FDH) to detect abnormal segments of ECG signal during Ewing test in real-time. Experimental results show that this entropy algorithm of normalized FDH is used to test ECG signal of 20 subjects during Ewing test. The detectable rates of abnormal segments of physical movement, baseline shifting, and electrode shedding are 92%, 88%, and 95%, respectively. Due to the high detectable rates and efficiency, this algorithm can widely be used to detect abnormal segments of ECG signal during Ewing test in real time.
Dual-Function Microfluidic Chip for Identification and Drug Response Testing of Lung Cancer Organoids
Authors: Xi Jiyu , Wei Zewen , Wu Xin , Zhang Kexin , Zhao Huiting , Zhang Yu
Published: December 2023

Organoids, as a novel in vitro drug screening platform, have received widespread attention due to their relevance to clinical research as they are derived from patient samples. Lung cancer organoids are categorized into two subtypes: EGFR mutation type and EGFR wild type. EGFR mutation lung cancer organoids exhibit better therapeutic effects with tyrosine kinase inhibitors (TKIs), whereas EGFR wild type lung cancer organoids have better responses to chemotherapy drugs. However, the current lack of a microfluidic chip capable of identifying EGFR mutations in lung cancer organoids and testing their drug response poses a challenge. To address this, we have developed a dual-functional chip that streamlines EGFR mutation identification and drug testing in lung cancer organoids. This method not only reduces time and cost but also enhances drug screening efficiency.
Classification for Early Imaging of Alzheimer’s Disease Based on Deep Learning
Authors: Li Xiuxu , Zhang Lanhua , Liu Xiaodong , Wang Jin
Published: December 2023

Deep learning is important for early warning of Alzheimer’s disease in imaging histology studies. In order to realize the early warning of medical images based on deep learning models, traditional machine learning and deep learning models as well as techniques such as confusion matrix and ROC are combined to complete the model classification situation evaluation function, and finally visualize the results of deep learning VGG outperforming the effect of traditional machine learning models. The conclusion of the deep learning VGG model shows that the deep learning model is feasible or meaningful after certain pre-processing and in early Alzheimer’s disease image classification, and has an important role in early medical image recognition of certain diseases.
An Interpretable Residual Neural Network for the Diagnosis of Myocardial Infarction
Authors: Wei Xiaoyang , Wang Mengxiao , Jin Yanrui , Li Zhiyuan , Tian Yuanyuan , Liu Chengliang
Published: December 2023

Acute myocardial infarction (AMI) is a kind of heart disease with a high mortality rate and easy to ignore the early symptoms. Patients need to obtain timely and accurate diagnosis at the onset of the disease. Automatic ECG diagnosis based on deep learning method is significant for treating such patients because of its timeliness and ease of use. However, the “black box” nature of deep learning methods affects the confidence of doctors and patients and seriously restricts the popularity of its clinical applications. Therefore, it is necessary to study its explainability. This paper uses a residual neural network to realize the end-to-end diagnosis of myocardial infarction disease in a 12-lead electrocardiogram. By designing a specific data processing method, the residual network is used to preserve the characteristics of the feature time order. With the time attention mechanism, we can realize the interpretability of the channel between 12 leads and the time interpretability of the signal segments in each lead. This study reveals the reliability of deep learning methods in clinical Settings.
Digitalization of research: do ICT improve scientific production in developing countries?
Authors: Eyike Mbongo Louis de berquin , Bouhem François Colin , Parfait Kansea Enogo
Published: December 2023

The aim of this paper is to analyze the effects of the diffusion of ICTs in general and the internet penetration in particular on scientific production in developing countries. We capture the scientific production by the number of scientific journals papers published and the number of patents filed by residents of these countries. The panel of data collected on 70 developing countries over the period 2000-2016, allowed us to estimate a model by the method of generalized moments in system. The results show that improving the access to internet in countries increases the productivity of researchers. Also, the results suggest that democracy and transparency of administrations increase researchers' productivity, while corruption, conflicts and mining rents reduce it.
VETERINARY PSYCHOLOGY
Authors: Furtado Gil , Sobral Felipe
Published: December 2023

Animal behavior is closely linked to the process of evolution of nervous tissues that move towards the cephalic region, promoting the creation of a central nervous system with greater proximity to the sense organs, providing an increasing increase in sensory and cognitive functionalities. The functional analysis of animal behavior establishes a relationship between a certain action and changes that occur in the surrounding environment or within the individual. Changes in these factors may occur incidents, where the veterinarian must have an understanding of all the factors involved in order to contribute to the solution of this triggered behavioral pathology.
ANTHROPOGENIC DISTURBANCES IN A POPULATION OF BROWN-THROATED SLOTHS OF THE SPECIES BRADYPUS VARIEGATUS SCHINZ, 1825 IN URBAN ATLANTIC FOREST FRAGMENTS IN PANDEMIC PERIOD
Authors: Paz Marília , Cordeiro-Estrela Pedro , Castro Carla
Published: December 2023

The Central Campus of the Federal University of Paraíba, located in João Pessoa, has 12 forest fragments with approximately 84 ha of Atlantic Forest where a population of Bradypus variegatus Schinz, 1825 inhabites and has been exposed to anthropogenic disturbances. The present study aims to identify, describe and analyze anthropogenic disturbances on the population of B. variegatus that inhabits the atlantic forest fragments on the Central Campus of the Federal University of Paraíba, located in João Pessoa, Paraíba, Northeastern Brazil. Observations were carried out from September 2021 to January 2022 using the ad libitum method through daily 4-hour walks around the fragments. Locomotion behavior was recorded in 16% (n=45) of the 269 observations. An average of 24.5 (n=3 to 61) sloth sightings were recorded per fragment. The correlation between disturbances and the number of recorded sightings was positive and significant, which demonstrates the resilience of B. variegatus in an urbanized environment. Situations classified as low risks prevailed, probably due to the social isolation imposed by the period of COVID-19 pandemic. High risks were 17.5% (n=47) for vehicles, 14.9% (n=40) for domestic animals and 1% (n=3) for people. Results showed that the human activities surrounding the forest fragments cause disturbances in the population of B. variegatus and efforts to mitigate the disturbances caused to these animals must be done, such as forest densification, the accumulation of litter in areas between fragments to avoid falls into the impervious surface and forest connection through rope bridge arboreal overpasses in hotspot areas with a higher density of sloths.
Funding of geological exploration during transformation of the Russian economic system
Authors: Salmanov S. M. , Nazarova Z. M. , Leonidova Yu. A.
Published: December 2023

Background. The mineral resource base is a strategic component of Russia’s economic security, being a critically important tool for strengthening the country’s position in the international arena. At the same time, economic shocks and geopolitical tensions negatively affect the investment attractiveness of geological exploration projects, which are highly important for the continuous reproduction of the country’s mineral resource base.

Aim. Consideration of funding possibilities for geological exploration activities in Russia.

Objectives. 1) To analyze the structure and state of geological exploration funding in Russia over the past five years; 2) to study the prospects and possibilities of attracting investments for different geological exploration stages in Russia; 3) to offer new methods and tools for optimizing the funding of geological exploration activities under the conditions of transformation of the Russian economic system.

Materials and methods. The research materials included domestic and foreign scientific publications; reports and publications of the Federation Council Committee on Agriculture and Food Policy and Environmental Management of the Russian Federation, the Ministry of Natural Resources and Environment of the Russian Federation, the Federal Subsoil Resources Management Agency; the results of the “Geology, Revival of a Legend” initiative; McKinsey and OECD Global Forum on International Investment analytical materials. The materials were analyzed using a set of general and specialized scientific methods. Among them are statistical modeling and forecasting to assess the state and prospects of geological exploration funding in Russia; comparative analysis and synthesis, induction and deduction to study international experience in attracting alternative investments for geological research.

Results. Proposals concerning the possibility of attracting additional funding at various stages of geological exploration through the creation of direct investment trust funds are formulated. Attention is also paid to such methods as streaming and acquisition of a fixed interest rate from production in exchange for an advance payment, which can be applied at later stages of exploration.

Conclusion. New approaches and best international practices should be used to attract funding for various stages of geological exploration activities in Russia. This will make it possible to attract non-governmental resources, diversify methods of financial support, as well as to increase the investment attractiveness of geological exploration projects.