bluuebunny/crossref_metadata_2025 huggingface dataset:
Secure method of communication using Quantum Key Distribution
Authors: Yalla Surya Prakash , Uriti Archana , Sethy Abhisek , E. Sathishkumar V.
Published: January 2024

Secure communication plays a vital role now-a-days. Modern-day secure communication is made possible via cryptography. Modern cryptographic algorithms are based on the process of factoring large integers into their primes, as they are intractable. But the cryptography nowadays is vulnerable to technological advances in computing power like quantum computing and evolution in math to quickly reverse one-way functions like factorization of large integers. Incorporating quantum physics concepts into cryptography is the answer, which results in an assessment of quantum cryptography. A unique type of cryptography known as quantum cryptography makes advantage of quantum mechanics to provide complete protection against the transmitted message. Quantum Key Distribution (QKD), a random binary key distribution used in quantum cryptography, enables communication participants to recognize unauthorized listeners. Quantum Key Distribution (QKD) is likely the most advanced quantum technology currently accessible with full stack systems already in use. This projects goal is to develop secure and encrypted communication between the parties with the help of a web application using the BB84 protocol.
Overview of cyber security situation awareness
Authors: Li Zheng
Published: January 2024

The rapid development of the network has made the network immersed in most people's lives, and even the degree of development of the network reflects the overall national strength of a country. Moreover, the control of the country is unable to leave the power of the network. All countries are becoming more and more urgent for the development of network, but in the face of more and more diverse attacks, people become overwhelmed. Network security is crucial to individuals, organizations and countries, and is related to the stability of the whole society and the security of the country. Therefore, network security has become a part of the network that cannot be ignored. In view of the current network security technology and the current network technology in the world, some network systems strengthen the application of network security situational awareness technology. This paper introduces the relevant concepts and technical fields of network security situational awareness technology, so that better understand and deepen the network security situational awareness technology.
A review of identity authentication based on blockchain technology
Authors: Li Jiawei
Published: January 2024

Blockchain, as one of the emerging technologies in recent years, is essentially a decentralized distributed ledger. By leveraging blockchain, it provides a new approach to identity authentication. This paper provides an overview of the applications of identity authentication based on blockchain. Firstly, the background knowledge of blockchain is introduced. Then, the technical aspects of identity authentication based on blockchain are discussed and classified from the perspectives of identity authentication techniques and cryptographic algorithms. Subsequently, the applications of identity authentication based on blockchain technology are introduced and classified in various fields. Finally, a summary of the entire paper is presented.
Introduction and commercial prospect of GAAFET
Authors: Jiang Yuchen
Published: January 2024

As recent metal-oxide-semiconductor field-effect transistor (MOSFET) technology developed, gate length shrinks so that engineers lost control of the transistor due to short channel effect and enormous leakage power. To maintain gate-to-channel control of the device, a fin field-effect transistor (FINFET) has been introduced to replace planar MOSFET technology. The "FIN" structure allows further down-scaling of gate length compared to planar MOSFET. As process node technology progresses, gate length scaling is stalled, where a further decrease of gate length would receive undesirable results in order of power, performance, and area (PPA). To escalate the transistor density, a new MOSFET design is required to replace FINFET. Therefore, the gate-all-around Multi-Bridge-Channel MOSFET (GAAFET or MBCFET) is successfully induced to be the feasible solution.
Comparison of machine learning algorithms and feature importance analysis for star classification
Authors: Zhou Taiqi
Published: January 2024

This study presents a comprehensive investigation of star classification based on the Stellar Classification Dataset-SDSS17, employing machine learning algorithms including Random Forest, Gradient Boosting, and Support Vector Machine (SVM), along with Shapley Additive Explanations (SHAP) feature importance analysis. The research found that among the 17 features studied, redshift consistently emerged as the most significant feature. Additionally, the feature importance or SHAP value of Redshift obtained in various models is significantly higher than that of other features. The angles of Right Ascension (alpha) and Declination (delta), in contrast, showed the least importance. Models with higher accuracy tend to exhibit lower importance for Redshift. For the classifier result, Random Forest yielded the highest accuracy and SVM had the lowest accuracy. Most models perform best when classifying the "star" class and worst when classifying the "quasar" class. These findings provide valuable insights for automated star classification and underscore the critical role of redshift, thereby aligning with astronomical theories. Further research could include investigating more sophisticated models, like neural networks, and conducting a more profound analysis of feature interactions.
Advanced people flow monitoring and gender classification: A joint application of YOLO, DeepSORT, and convolutional neural networks
Authors: Li Qianjun
Published: January 2024

In an era of increasingly crowd-focused activities, understanding the dynamics of people's flow is of paramount importance. However, data derived solely from detecting and counting individuals can prove inadequate for certain use-cases. Addressing this deficiency, this study introduces a robust method to enrich data extraction, thereby enhancing its value to a wide range of stakeholders. Presented herein is a novel system dubbed YOLO-Gender, an innovative integration of YOLO and CNN, designed to deliver comprehensive people tracking and gender classification. This gender recognition component provides a much-needed edge in crowd management and facilitates efficient planning of gender-specific services. The core foundation of the system is built upon YOLOv8, the apex of the YOLO model series, renowned for its unparalleled accuracy and efficiency. Through the use of transfer learning models pre-trained on ImageNet, gender recognition is achieved, showcasing a marked enhancement over conventional CNN models. Assessments of this system validate its robust performance, underlining its potential for large-scale deployment. This study represents a significant step forward in AI-powered surveillance, offering a solution that effectively enriches and analytically processes extracted data.
Fatigue and distraction warning system for autonomous vehicle drivers in the process of three-level autonomous driving
Authors: Sun Haoran
Published: January 2024

Driver fatigue and distraction is the mainest cause of indirect driving accident;with the development of automatic driving technology, self-driving car is more applications; in the process of level 3 automatic driving driver if fatigue and distraction,in time of emergency, can lead to take over not accident in time. Therefore, some researchers have designed a detection and warning system for driver fatigue and distraction in three-level autonomous driving to promote the taking-over process and thus avoid accidents. To better analyze the feasibility and disadvantages of this system, this paper reviews the designs of several current researchers. This paper first examines the System design ideas, design process , and design results in the studied literature, through the literature system design, system evaluation through the comparison of multiple literature system designs, and then combined with the above analysis process. The results of the study show that, In the studied literature,after making a take-over request (TOR) to the driver, the driver is given a tactile, auditory ,and visual multimodal warning; after the system design, the subjects were given feedback according to the people-centered idea, but there are also false alarms and failure to wake up drivers who are too deeply distracted. The multimodal warning system to wake up the tertiary fatigue and distraction in the process of automatic driving, can wake up the driver and promote the takeover process.However, there are detection errors and alarm subsequent insurance measures loopholes, still need subsequent in-depth research and improvement.
Prediction on traffic accidents severity levels leveraging machine learning-based methods on imbalanced data
Authors: Chen Jialiang
Published: January 2024

Traffic accidents are a significant problem in many countries, resulting in thousands of injuries and deaths every year. By estimating the severity of traffic accidents, traffic safety together with the crash survival rates could be improved, by taking effective prevention measures at the location where accidents are plentiful and severe. This paper studies the prediction by different classification methods on traffic accident severity levels. The data set used includes 1.6 million traffic accidents recorded in the United Kingdom, ranging from 2000 to 2016. It is a difficult task, since the levels are imbalanced distributed, making it difficult to classify the records accordingly. To tackle this problem, this work compared several classification methods on the task and evaluates their performances from the aspects of time, accuracy, and adaptability on imbalanced data sets. Experiments suggest that among the methods, the decision tree is the most recommended. This paper also provides suggestions for improvements on similar tasks.
Design, modeling and analysis of a novel index finger exoskeleton for stroke rehabilitation
Authors: Lu Xingwei , Wang Kunru , Yu Haotian
Published: January 2024

Inpatient rehabilitation The rehabilitation of hand function in stroke patients is greatly aided by exoskeleton robots, which have become a new focus of research. However, there are still many defects in the existing research, for example, the Exoskeleton model is fixed and needs to be customized. The purpose of this study is to design and model an adjustable size Exoskeleton robot for hand rehabilitation of stroke patients. Hand dysfunction after stroke has a serious impact on the quality of life and daily activity ability of patients, so effective rehabilitation measures are crucial. As an innovative rehabilitation tool, Exoskeleton robot has the potential to assist movement and provide strength support. Through the biomechanical modeling of the hand and the exploration of the design principle of the Exoskeleton robot, this research proposes a design scheme that meets the requirements of functionality, safety and comfort. In the design process, we modeled the Kinematics of the exoskeleton robot based on the principles of hand biomechanics modeling. By establishing a simulation model, we verified the effectiveness and stability of the design. In conclusion, this study designed and modeled a Exoskeleton robot for hand rehabilitation of stroke patients. Through simulation and experimental verification, we proved the potential of the Exoskeleton robot in providing force support, Restoration Movement function and adapting to different hand sizes. This study provides a new tool for hand rehabilitation in stroke patients and provides reference for future design and improvement.
Comprehensive evaluation and enhancement of Reed-Solomon codes in RAID6 data storage systems
Authors: Wei Lijun
Published: January 2024

This paper provides an in-depth examination and optimization of Reed-Solomon codes within the context of Redundant Array of Independent Disks 6 (RAID6) data storage configurations. With the swift advancement of digital technology, the need for secure and efficient data storage methods has sharply escalated. This study delves into the application of Reed-Solomon codes, which are acclaimed for their unparalleled ability to rectify multiple errors, and their crucial role in maintaining RAID6 system operation even under multiple disk failures. The intricacies of Reed-Solomon codes are scrutinized, and the system's resilience in various disk failure scenarios is evaluated, contrasting the performance of Reed-Solomon codes with other error correction methodologies like Hamming codes, Bose-Chaudhuri-Hocquenghem codes, and Low-Density Parity-Check codes. Rigorous testing underscores the robust error correction capabilities of Reed-Solomon encoding in an array of scenarios, affirming its efficacy. Additionally, potential enhancement strategies for the implementation of these codes are proposed, encompassing refinements to the algorithm, the adoption of efficient data structures, the utilization of parallel computing techniques, and hardware acceleration approaches. The findings underscore the balance that Reed-Solomon codes strike between robust error correction and manageable computational complexity, positioning them as the optimal selection for RAID6 systems.
Examination of essential technologies and representative applications in RAID 6
Authors: Du Yuxuan
Published: January 2024

The evolution of the Internet of Things (IoT) has significantly intensified the interconnectivity between various entities. The robust advancement of information technology has ushered in a societal upswing while simultaneously triggering an exponential increase in data volumes. Consequently, the efficiency of access to storage systems and the reliability of data are severely challenged. Researchers are actively seeking efficient solutions to these challenges. The RAID storage system, with its commendable access performance, excellent scalability, and relative affordability, has become a preferred choice for the storage servers of numerous enterprises. This paper delves into the workings of RAID 6, erasure codes, and capacity expansion, thereby exploring the feasibility of various capacity expansion strategies. Effectively, a well-designed expansion scheme can mitigate issues related to insufficient storage capacity. Simultaneously, the configuration of the code plays a crucial role in determining the expansion time and consequently influences expansion efficiency. Overall, the information and findings presented in this study contribute to enhancing our understanding and management of storage systems in an increasingly data-intensive era.
Ethical research on the artificial intelligence training system for preschoolers under the guidance of child-centered theory
Authors: Liu Xi
Published: January 2024

In recent years, with the rapid development of artificial intelligence technology, early childhood artificial intelligence training systems have gradually been applied in the field of education. However, there is still a lack of systematic research and exploration on the ethical issues of artificial intelligence training systems for young children. This study is guided by the child-centered theory and aims to explore the ethics of artificial intelligence training systems for young children, and propose corresponding solutions. Firstly, the development status and ethical issues of artificial intelligence training systems for young children were analyzed through literature review. Then, based on the principle of child centeredness, an ethical evaluation was conducted on the design and use of artificial intelligence training systems for young children. Finally, specific suggestions were proposed to protect children's rights and promote their development in the early childhood artificial intelligence training system, and future research was prospected.
Exploration and evaluation of faster R-CNN-based pedestrian detection techniques
Authors: Gao Shengxin
Published: January 2024

Presented herein is an exploration into the efficacy of a pedestrian detection model that capitalizes on the Faster region-based convolutional neural network (R-CNN) algorithm. This model, following its training phase on the Caltech Pedestrian dataset, underwent a meticulous evaluation process designed to gauge its proficiency in pedestrian detection tasks. The Average Precision (AP) achieved during testing was an impressive 51.9%, pointing to a high degree of accuracy. In addition to its commendable accuracy, this model demonstrates a remarkable speed of inference. Each image was processed in a mere 0.07 seconds, underlining the model's potential for real-time pedestrian detection in real-world scenarios. Further enhancing its potential for deployment is the model's relatively compact storage footprint, consuming only 158MB of storage space. By providing an in-depth analysis of this Faster R-CNN-based pedestrian detection model, the study offers valuable insights for future developments in the computer vision field, particularly for real-world applications. This paper thus contributes to our understanding of the applicability and effectiveness of the Faster R-CNN algorithm, providing a solid foundation for future research and development.
Research on medical image segmentation technology based on deep learning
Authors: Zhang Yiwen
Published: January 2024

With economy expanding quickly, people's demand for medical services has become higher and higher, and medical image as an important basis for medical diagnosis has naturally received widespread attention. However, traditional image segmentation methods are easily affected by noise and unable to meet the complex and changing practical clinical applications. The increasing utilization of deep learning technology enables effective resolution of these problems. In this paper, we will first introduce the traditional image segmentation techniques, and describe the main methods to realize traditional image segmentation and its limitations. Immediately after that, it is proposed that deep learning methods can solve the challenges of medical image segmentation with traditional methods, and then the structure, algorithms and applications of several of the most commonly used deep learning methods are introduced. This paper proposes that medical image segmentation based on deep learning can segment the image more robustly and with high accuracy, and it can automatically obtain the most suitable features. The research in this paper will be of great value to the research and application of medical image segmentation technology based on deep learning.
Study on Fatigue Driving Detection based on Physiological Characteristics of Drivers
Authors: Jiang Mingjun , Yang Xinran
Published: January 2024

Li, S. (2022). Best Practice to Calculate and Interpret Model Feature Importance: With an example of Random Forest model. Published in Towards Data Science. https://towardsdatascience.com/best-practice-to-calculate-and-interpret-model-feature-importance-14f0e11ee660.
YOLO model-based target detection algorithm for UAV images
Authors: Wei Anqi
Published: January 2024

The increasing popularity of drones has paved the way for their utilization in various sectors, including civil, commercial, and government agencies. These unmanned aerial vehicles have proven to be invaluable in capturing images and videos from vantage points that were once difficult to access, leading to a wide range of applications. Images captured by drones often have target objects that are small in the frame and a large number of photos or videos captured, so that it is difficult for people to find the target objects in the photos. Nowadays, target detection of images captured by drones through deep learning methods, such as the YOLO algorithm, can greatly help people's work. In this paper, the authors of this paper have investigated for the last three years, for target detection of UAV images, optimization based on the original YOLO algorithm to achieve improved detection results. The research in this paper summarizes the existing research results and is of great significance to the subsequent research and application of UAV image processing.
Simulation of the motion of a pendulum
Authors: Zhang Tianhui
Published: January 2024

The project's objective is to simulate movement in the study and analysis of motion simulation problems and to propose simulation algorithms based on numerical calculation methods. It has many practical application values. In engineering and science, it is often necessary to simulate and analyze the motion of the fold to study the motor and dynamic properties of the fold, providing the theoretical basis and solutions to practical problems. With the support of modern computers and numerical computing technology, the problem of motion simulation has become a popular research direction. Many scholars and engineers have proposed different numerical calculation methods and simulated algorithms to simulate the motion process of the fold and analyze its motion laws. This article introduces the basic knowledge of physics and the formulas of motion, as well as some important concepts and theories related to motion. The motion simulation algorithm was then analyzed and discussed in detail. Subsequently, numerical calculations were prepared using MATLAB software, and simulated experiments were conducted using examples to analyze dynamic changes. Finally, the prospects for the future direction of research are presented. Therefore, if the initial speed is the same, the width and length of the time will increase.
Impedance Response and Phase Angle Determination of Metal-Semiconductor Structure with N-Doped Diamond Like Carbon Interlayer
Authors: Urgun Nuray , Vahid Aylar Feizollahi , Alsmael Jaafar , Avar Barış , Tan Serhat Orkun
Published: January 2024

With their superior properties over p-n barriers, Schottky Barrier Diodes have a wide usage area, especially as a test tool to produce better-performance devices. The main performance parameter of these devices is measured by their conduction, which can develop with an interlayer addition through the sandwich design. Regarding the DLC, which also has outstanding specifications under thermal, chemical, and physical conditions, is a good candidate for interlayer tailoring, specifically when used with doping atoms. Thus, this study investigates the impedance response of the fabricated device with an N-doped DLC interlayer by employing the electrochemical technique as a combination of electrolysis, RF magnetron sputtering, and thermal evaporation. The measurements were conducted for broad scales of voltage and frequency corresponding between (-3V) and (+4V) and 1kHz and 1MHz, respectively. According to the impedance analysis, complex impedance decreases by rising bias and frequency, from 1.8 MΩ to 2 k Ω at 1MHZ due to the additional insulating layer. At the same time, the phase angle indicates the quality of the dielectric layer with an average of 81.36  for the sample logarithmic frequency values with an almost constant-like trend in the inversion stage. In comparison, it reduces to an average of 30.25  after the depletion stage by showing the rising conductivity. Moreover, it has some unexpected rising values at the strong accumulation stage, possibly due to the deposited thin film's unique structure. The supported results by phase angle changes, showing frequency-adjustable working conditions, may offer that selective electrical conduction can be tuned.
Peran Guru Sekolah Dasar dalam Pembentukan Karakter Siswa
Authors: Nurhasanah Enung , Aisah Siti , Yusnarti Mulya
Published: January 2024

Penelitian ini berfokus pada Analisis Peran Guru dalam Pembentukan Karakter Siswa Kelas IV di SDN 17 Woja. Bertujuan untuk Menganalisis Peran Guru dalam Pembentukan Karakter Siswa Kelas IV, faktor penghambat dan faktor pendukung dalam pembentukan karakter siswa kelas IV di SDN 17 Woja. Peran guru yang menjadi fokus penelitian yaitu sebagai pendidik, demonstrator, pengelola kelas, motivator dan evaluator. Nilai karakter yang menjadi fokus penelitian yaitu religius, jujur, disiplin, mandiri, peduli sosial dan bertanggung jawab. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Teknik pengumpulan data yang digunakan yaitu observasi, wawancara dan dokumentasi kepada subjek penelitian yang terdiri dari guru kelas IV dan siswa. Tahapan analisis data yang digunakan ialah pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Pengujian keabsahan data pada penelitian ini menggunakan triangulasi teknik. Hasil penelitian menunjukkan bahwa: (1) Peran guru dalam pembentukan karakter siswa kelas IV di SDN 17 Woja dilakukan dengan beberapa peran guru yaitu guru sebagai pendidik, guru sebagai demonstrator, guru sebagai pengelola kelas, guru sebagai motivator dan guru sebagai evaluator, (2) Faktor pendukung peran guru dalam Pembentukan Karakter Siswa Kelas IV di SDN 17 Woja yaitu lingkungan keluarga dan sarana dan prasarana, sedangkan faktor Penghambat Peran Guru dalam Pembentukan Karakter Siswa Kelas IV di SDN 17 Woja  antara lain lingkungan keluarga dan guru.
Host organelles and transporters in underground plant-pathogen interactions
Authors: Dölfors Fredrik
Published: January 2024

This thesis covers studies of three different soilborne plant pathogens, the two fungi, Rhizoctonia solani and Verticillium longisporum, and the protist Plasmodiophora brassicae, as well as their host responses. Based on genome sequence analysis of the pathogens and their plant hosts, different effectors and plant defence factors were predicted. Follow-up molecular studies revealed the following: In sugar beets, two genes encoding major latex protein-like (MLP) family members, MLP1 and MLP3, contribute to the defence against R. solani. The small cysteine-rich effector RsRCP1 was highly induced in the fungus upon infection. RsRCP1 was localized to chloroplasts and mitochondria in the leaves of Nicotiana benthamiana. An additional MLP gene in oilseed rape, MLP6, was found to provide elevated levels of defence to V. longisporum together with a nitrate/peptide transporter family protein (NPF5.12). Recognition of the fungus triggered nitrate starvation and MLP-mediated defence, together reducing the lipophilic suberin barrier in the endodermal cell walls. In the genome of the clubroot pathogen P. brassicae, a consensus sequence led to the identification of peroxisomal targeting effectors. Arabidopsis mutants with impaired peroxisomal biogenesis demonstrated the importance of the plant peroxisomal transport proteins for P. brassicae establishment in the root. Host peroxisomal proteins embodied in the resting spores were also identified using a transgenic peroxisomal marker line of Arabidopsis. New technological advances and possibilities for genetic engineering of these three pathogens would greatly contribute to a deeper understanding of these different pathological systems.
MILK RUN NO TRANSPORTE DE AMORTECEDORES REMANUFATURADOS: UM ESTUDO EM UMA EMPRESA DE SÃO PAULO
Authors: Caratanasov Evelyn Gomes da Rocha , Do Nascimento Jonathan Aparecido , Pitomba Rafael Viana , Lélis Eliacy Cavalcanti
Published: January 2024

Os custos logísticos podem ser reduzidos quando a forma como suas operações são realizadas são estudadas com um olhar crítico e aberto às mudanças. Este artigo tem como objetivo geral realizar um estudo com uma proposta de aplicação do milk run visando contribuir na redução dos custos logísticos e na melhoria do nível de serviço no sistema de transporte de amortecedores remanufaturados de uma empresa de São Paulo. Esta é uma pesquisa bibliográfica e um estudo de caso com aplicação do método dedutivo. Os resultados apresentam um diagnóstico do sistema de transporte na coleta de matérias-primas e entrega de amortecedores remanufaturados e sugere a utilização do milk run para reduzir os custos de transporte, o tempo de fluxo, melhorar a taxa de ocupação do veículo e o nível de serviço. A logística pode agregar valor ao negócio quando é gerenciada com técnica adequada ao contexto e uso eficiente de seus recursos.
PENGARUH STRATEGI PROMOSI DAN HARGA TERHADAP KEPUASAN WISATAWAN DI OBJEK WISATA SALIB KASIH TARUTUNG
Authors: Apri Sihombing
Published: January 2024

Dalam pengembangan pariwisata khususnya di Objek Wisata Salib Kasih Tarutung terdapat penilaian pengunjung yang dapat digunakan sebagai acuan. Pengoptimalan strategi promosi dan harga menjadi salah satu faktor penting dalam pengembangan tersebut dan dapat dijadikan sebagai acuan yang diharapkan sesuai dengan apa yang diinginkan oleh wisatawan. Penelitian ini bertujuan untuk mengetahui pengaruh strategi promosi dan harga terhadap kepuasan wisatawan secara parsial dan simultan. Populasi dalam penelitian ini adalah wisatawan objek wisata Salib Kasih Tarutung pada tahun 2022 berjumlah 3.016, dengan sampel berjumlah 97 orang wisatawan yang diambil menggunakan teknik sampling non-probability sampling.  Jenis penelitian ini adalah penelitian kuantitatif dengan teknik pengumpulan data yang dilakukan melalui kuesioner dan tinjauan pustaka. Metode analisis data dalam penelitian ini adalah uji validitas, uji reliabilitas, uji asumsi klasik, regresi linear berganda dan uji hipotesis.  Dari hasil penelitian ini diperoleh 88,6% kepuasan wisatawan dipengaruhi oleh strategi promosi dan harga, sedangkan 11,4% kepuasan wisatawan dipengaruhi oleh variabel-variabel lainnya yang tidak diteliti dalam penelitian ini. Hasil penelitian ini menunjukkan bahwa secara parsial strategi promosi dan harga berpengaruh positif dan signifikan terhadap kepuasan wisatawan.
Reflections on educational reform supporting build China into a world leader in science and technology
Authors: Qin Zheng , Ding Minglei
Published: January 2024

Building a science & technology’s world leader is an important goal for China by 2035, how to build a strong country in science and technology - high-level scientific talent is the fundamental supporting factor. Historically, Germany, the United States and Japan, three late-developing catching-up countries in the process of moving towards a scientific and technological power, have successfully implemented high-level scientific talent training initiatives, ultimately promoting the strong rise of science and technology. According to the experience of the three countries, the cultivation of high-level scientific talents is mainly achieved through major reforms in education, especially research-oriented education reform. At present, China is entering a new stage of development in building a scientific and technological power, the domestic and international development situation is more severe, and the law of science and technology itself is evolving at an accelerated pace, which puts forward new requirements for the cultivation of high-level scientific talents, and education reform is imperative. In comparison with the experience of Germany, the United States and Japan, China's current high-level research-oriented education still has many problems, it is difficult to support self-reliance and self-improvement in science & technology and build China into a world leader in science & technology. To sum up the history and face the reality, it is suggested that China should establish the concept of "integration of science and education" as soon as possible, promote education reform under the traction of scientific and technological needs, comprehensively sort out and reshape the positioning of universities, accelerate the reform of high-level research education, and increase the reform of primary and secondary education to prepare for the cultivation of high-level scientific talents in a comprehensive and systematic way.
School education and engineering practices: Dual pathways to cultivating excellent engineers
Authors: Qu Zhenyuan
Published: January 2024

Engineering education is aimed at cultivating outstanding engineers with extensive knowledge, innovative thinking, problem solving and practical abilities through theoretical learning and practical training. However, achieving this goal is no mean feat. On the one hand, school education is required to provide a theoretical foundation and academic support. On the other, engineering practices are needed to help students improve their capabilities and cultivate their problem-solving ability. Both are of great importance, but there are conflicting aspects between them. This article aims to explore the complementary and interactive relationship between school education and engineering practices in cultivating such outstanding engineers.
Efektivitas Ekstrak Etanol Daun Bambu Tali (Gigantochloa apus) Sebagai Penyembuhan Luka Secara In Vivo
Authors: Adrianto Dimas , Rianty Lakoan Milda , Arianti Varda
Published: January 2024

Luka adalah gangguan normal hilangnya integritas epitel kulit. Diikuti dengan gangguan anatomi dan fungsinya. Penyembuhan luka dapat dibagi menjadi tiga tahap; hemostasis atau peradangan, proliferasi, remodeling atau terminasi. Namun proses ini dapat dihambat oleh infeksi bakteri. Ekstrak tanaman bambu tali diduga mengandung senyawa golongan triterpenoid yang berpotensi menghambat pertumbuhan bakteri. Penelitian ini bertujuan untuk mengetahui senyawa yang terkandung pada ekstrak etanol daun bambu tali dan mengetahui efektivitas ekstrak tanaman bambu tali sebagai penyembuh luka. Pengujian ini menggunakan 28 mencit yang dibagi menjadi 4 kelompok. Luka sayatan pada mencit dibuat pada bagian punggung mencit dengan panjang 1,5 cm dan kedalaman 2 mm, setelah itu diberikan perlakuan sesuai dengan masing-masing kelompok. Hasil identifikasi skrining fitokimia menunjukan adanya kandungan pada ekstrak daun bambu tali seperti flavonoid (positif) dan triterpenoid (positif). Hasil dari penyembuhan luka memiliki efektivitas terhadap luka sayat pada mencit ditunjukkan oleh ekstraksi daun bambu tali.
Job Satisfaction Through Organizational Citizenship Behaviour: A Case of University Teachers of Pakistan
Authors: Abdullah Nauman , Akhtar Mahr Muhammad Saeed
Published: January 2024

Teachers’ job satisfaction leads to job continuity, which in turn affects teacher performance as well as the effectiveness of their institutions. The purpose of this study was to identify if there was a relationship between the Organizational Citizenship Behavior (OCB) and Job Satisfaction (JS) of teachers since discretionary behaviours have a significant impact on performances, yet are not considered in evaluations. Descriptive correlational research was carried out using a multi-stage stratified random sampling technique, where participants came from Higher Education Commission (HEC) recognized public and private sector universities in Lahore, Pakistan. After data cleaning, statistical analyses were applied to the data from 232 questionnaires, using SPSS. Correlations between the factors of organizational citizenship behaviour (altruism, courtesy, sportsmanship, conscientiousness, and civil virtue) and job satisfaction were found to be moderately significantly positive. Job satisfaction through the factors of OCB was determined to be 21.3%, where only altruism and civil virtue were factors. Significant differences were revealed in the OCB and job satisfaction of university teachers in terms of gender, university type, job type, marital status, age groups, academic qualifications, teaching experiences, faculties, and universities. Results of the study provide implications for educational administrators, teachers, and policy makers for incorporating OCBs in their organizations and strengthening factors that contribute toward job satisfaction.
O ESTADO E FORMA POLÍTICA: REORDENAMENTO TERRITORIAL E EXPANSÃO DO AGRONEGÓCIO E DOS PERÍMETROS IRRIGADOS NO SEMIÁRIDO NORDESTINO
Authors: França Diego Pessoa Irineu de
Published: January 2024

O processo de globalização redefine constantemente as relações socioespaciais, os arranjos territoriais e o aparato institucional para atender à lógica dos agentes hegemônicos, impulsionada pelo mercado capitalista. Neste contexto, este artigo reflete sobre a relação estrutural entre forma política estatal e os interesses privados e corporativos, especialmente pelos reordenamentos territoriais derivados das políticas estatais ligadas ao agronegócio brasileiro e aos megaprojetos de irrigação do semiárido nordestino. Ao identificar o lugar de classe do aparato estatal, mesmo encoberto pelo fetiche do “público”, entendemos que suas ações sinalizam um reposicionamento funcional ao neoliberalismo, na medida em que tal condição permite flexibilizar um conjunto de mecanismos institucionais para converter os bens da natureza e territórios de vida em negócio lucrativo.  

Palavras-chave: Estado; Forma política; Agronegócio; Perímetro Irrigado.

rativo.
A POLÍTICA FUNDIÁRIA DO BANCO MUNDIAL: EXPERIÊNCIAS NA AMÉRICA LATINA
Authors: Luiz Luana Fernanda , Nardoque Sedeval
Published: January 2024

No contexto de mundialização e da expansão geográfica do capital, os Estados nacionais de países da América Latina promoveram alterações em suas políticas econômicas e sociais, em contrapartida aos empréstimos concedidos por agências multilaterais como o Banco Mundial e pelo Fundo Monetário Internacional, sobretudo a partir da década de 1990, alinhando-se fortemente às políticas neoliberais desenvolvidas por essas instituições. Considerando-se esse contexto, o objetivo deste trabalho consiste em discutir como o Banco Mundial, a partir da década de 1990, subordinou os Estados latino-americanos ao ajuste macroeconômico, promovendo a reconfiguração nas políticas públicas sociais, principalmente, por meio da implementação de políticas focalizadas e do estímulo ao mercado de terras, provocando diversos desdobramentos territoriais no Brasil, Colômbia e Guatemala (Ramos Filho, 2008; Pereira, 2017; 2018). Para desenvolver a discussão proposta, utilizar-se-á estudos a respeito dos desdobramentos das políticas agrárias orientadas pelo Banco Mundial, implementadas na América Latina com base no crédito, como as pesquisas realizadas por: Pereira, (2017; 2018), Ramos Filho (2013); Rezende e Mendonça (2004); Sauer (2004), Mondragón (2004); Tanaka e Wittman, (2004); e Pereira e Fajardo (2015), entre outros(as). A partir da análise realizada por esses(as) pesquisadores(as), infere-se que, no contexto da questão agrária desses países, a implementação de políticas fundiárias, com base no crédito, evidencia, por meio do endividamento e das condições precárias de acesso e permanência na terra, o caráter contraditório inerente à política de crédito fundiário.

PALAVRAS-CHAVE: América Latina; Mercado de Terras; Crédito Fundiário; Campesinato.
Computational Fluid Dynamics (CFD) Analysis of the Shell and Tube Heat Exchanger by Use of Different NanoFluids
Authors: Journal IJSREM
Published: January 2024

Heat exchanger is a device used to transfer heat between one or more fluids. The fluids may be separated by a solid wall to prevent mixing or they may be in direct contact. These exchangers provide true counter-current flow and are especially suitable for extreme temperature crossing, high pressure, high temperature, and low to moderate surface area requirements different Nano partials mixed with base fluids is called Nano fluids and analysed for their performance of Nano fluids by use in the heat exchanger. The Nano fluids are Aluminium Oxide, Silicon Oxide and Titanium carbide.The volume concentration of the nanoparticle use in this study is 0.03% and mass flow rate 8 lpm,Nano fluid inlet temperature 333k and normal water fluid inlet temperature 300k. 3D model of the compact shell and tube heat exchanger is done in CATIA V5 and CFD analysis is done on the shell and tube heat exchanger by using ANSYS 15.0 fluent work bench. Compare three Nano fluids values for better Nano fluid choose one. Key Words: Catia, cfd, Nano fluids.
Beyond Boundaries: Examining the Coming Together of AI and Marketing
Authors: SHREE P.V. KRISHA
Published: January 2024

The study examines artificial intelligence's (AI) place in marketing strategies, emphasising its potential uses, advantages, and commercial impacts. A more tailored approach is fostered by key artificial intelligence technologies including machine learning algorithms, natural language processing, and predictive analytics, which give marketers insights into consumer behavior, preferences, and trends. AI- powered solutions are transforming the consumer experience, encouraging interaction, and streamlining the conversion process. AI-driven tools ensure that advertisers precisely contact their target audiences by analyzing large datasets in real-time. The article also discusses ethical issues such algorithmic biases, transparency, and data privacy. The impact of AI on marketing professionals is also discussed in the paper, with a focus on how the industry's skill requirements are changing. Keywords Artificial intelligence, Marketing, Machine Learning, Consumer Behaviour, Digital Marketing
Assessment of Training and Development Impacting on Total Quality Management: Online Shopping Logistics Perspective
Authors: Devi Dr. P. Sree , Deekonda Pranaya
Published: January 2024

This research investigates the intricate interplay between training and development initiatives and Total Quality Management (TQM) within the context of online shopping logistics. As the global landscape of commerce undergoes a transformative shift towards e-commerce, the efficiency of online shopping logistics emerges as a critical determinant of customer satisfaction. The study employs a comprehensive approach, leveraging statistical analyses including factor analysis, multiple regression, and ANOVA, to unravel the nuanced relationships between diverse training and development factors and their impact on TQM. The findings reveal key drivers of TQM in the online shopping logistics domain, emphasizing the pivotal role of variables such as Enhancing Customer Experience, Continuous Learning Culture, Brand Reputation, Cross-Cultural Considerations, and Technology Integration. Additionally, challenges such as Problem-Solving Abilities are identified, prompting tailored interventions. The research underscores the significance of aligning training programs with future industry directions and the imperative of cultivating a brand-centric approach. These insights offer practical recommendations for organizations operating in the e-commerce sector, guiding them to prioritize and refine training initiatives to optimize TQM. The abstract encapsulates the research's contribution to the evolving field of online shopping logistics, providing a nuanced understanding of the factors influencing TQM and paving the way for strategic enhancements in training and development practices to ensure operational excellence and sustained customer satisfaction in the dynamic e-commerce landscape. Keywords: Training and Development, Total Quality Management, Logistic Management, Online shoppers, Factor Analysis, Multiple Regression Analysis
A Bridge over Troubled Waters?: New Developments in Chinese Foreign Relations
Authors: Lust Aleksander
Published: January 2024

Five new books on Chinese foreign relations break important theoretical and empirical ground. From the Pacific Ocean to the Atlantic Ocean and the South China Sea to the Baltic Sea, these works discuss China's economic, political, and security relations with the rest of the world. They
also show that other countries are not passive recipients of China's policies, but adopt, reject, or redefine Chinese initiatives, such as Belt and Road, based on their interests, values, and stories about their place in the world. However, the books overlook the broader international context
in which such interactions take place: the relationship between China and the United States. The intensifying Sino-US rivalry forces other states to take sides in a fight that is not their own and strengthens some political actors and narratives at the expense of others. We need to start building
bridges across this divide to prevent a renewed division of the world into two hostile blocs.
Assessment of the Activity Parameters on Trichomonas vaginalis in Iraqi Women
Authors: Ali Mohammed Baraa , Mohammed Hussein Ashjan , Hussein Jameel Ali , Frimpong Prince Opuni
Published: January 2024

Vaginal infections are predominantly caused by Trichomonas vaginalis, bacterial vaginosis, and Candida infection. These infections are particularly concerning among pregnant women, potentially leading to adverse outcomes, including miscarriage. This study aimed to investigate the association between Trichomonas vaginalis infection and hormonal and immune parameters (Vitamin D and Thyroid Stimulating Hormone (TSH) levels). A cross-sectional study was conducted between September 2022 and October 2023. A total of 92 women participated, including 67 patients with recurrent vaginitis (characterized by burning, itching, and discharge) and 25 healthy controls. High vaginal swabs and 5 ml of venous blood were collected from each participant. Serum levels of Vitamin D, TSH, and inflammatory cytokines were measured using immunofluorescence techniques. Women infected with Trichomonas vaginalis had significantly elevated serum Vitamin D levels (P=0.0144), while the differences in TSH levels between the two groups were not statistically significant. Although associations between TSH, Vitamin D, and Trichomonas vaginalis infection were observed, these correlations did not reach statistical significance. This study suggested that Trichomonas vaginalis infection may be associated with increased serum Vitamin D levels in affected women. The lack of a significant change in TSH levels and its weak association with the infection indicate a complex interplay between hormonal balance and vaginal infections. Further research is needed to explore the implications of these findings, particularly in the context of infertility and immune modulation during vaginal infection.
Pembuatan Tinta Spidol dari Pelepah Kelapa Sawit dengan Variasi Jenis dan Konsentrasi Bahan Perekat
Authors: Hutasoit Jepryanto , Ulfah Maria , Ruswanto Adi
Published: January 2024

Marker ink dyes are generally made from synthetic materials, including anthraquinone which is corrosive and causes irritation to the skin. It is hoped that the marker ink dye from palm frond fiber can overcome this problem. Ink made from carbon fiber from palm fronds to be able to stick to a whiteboard requires adhesive materials including gum arabic, tapioca flour and porang flour. This research aimed to determine the effect of the type and amount of adhesive on the physical and organoleptic properties of marker ink from palm frond carbon produced, as well as to obtain the type of adhesive and amount of adhesive that is capable of producing good marker ink. This research was designed using a Randomized Complete Block Design (RCBD) with two variable factors. The first factor is the comparison of adhesive types (A) with 3 levels, including: A1 (gum arabic), A2 (tapioca flour), A3 (porang flour). The second factor is the amount of adhesive (B) with 3 levels, including: B1 (10%), B2 (20%), B3 (30%). The results showed that the type of adhesive had an effect on density, viscosity, light intensity and adhesion, but had no effect on color preference, ease of removal and odor preference. The amount of adhesive affects density, viscosity, light intensity and adhesion, but does not affect color preference, ease of removal and odor preference. The best ink was obtained from A1B1 treatment with an average consumer acceptance value of 3.80 (like), density 0.94 g/m3, viscosity 15.60 cP, light intensity 0.23 lux, adhesion 13.01%.