bluuebunny/crossref_metadata_2025 huggingface dataset:
علامہ اقبال کا تصوراتحاد امت: ایک مطالعہ
Authors: Ishrat Fatima  , Dr. Hafiz Muhammad Abrar Awan  , Dr. Sabeeha Abdul Qadoos
Published: April 2024

In the realm of Islamic government, Ummah is the indivisible unity of nations, which is established by the Shiraz Bandi religion. Ummah is a special Islamic concept which is a manifestation of the ideological and social aspects of Islam. The philosophy of the emergence of the Muslim Ummah in the world depends on a natural process. The Ummah organizes all human beings in the form of a great community by eliminating the distinctions of nations, races and classes. Even in the world, it is like a single body. Islam remembers them with different names. Ummat Wahidah, Ummat Muslimah, Ummat Astya, Khairmat and Millat Ibrahimi etc. In these names, the name of Ummat Muslimah indicates the overall sufficiency of the Islamic society. Poet of the East, Hakim of the Nation, Dr. Allama Iqbal, when his personality, thought and artistic maturity reached its peak, his vision or poem became the center of the nation. Iqbal stopped thinking as an individual. He used to look at things from the eyes of the Ummah and think about every problem collectively. He weighed the benefits and losses in the scales of the Ummah and measured the good and evil with the scales of the Ummah. There came a time in Allama Iqbal's life that his mind was the spokesperson of the Ummah, his pen was the Ummah. Allama Iqbal wanted the unity of the Ummah, he wanted to see the Muslims as one nation, one Ummah and nation. It was his wish that people should adopt the Ummah code of conduct and spread it over the world. He wished that the Ummah should be red-faced in everything. So that success and rule would become their destiny.
Mendidik Toleransi Beragama Siswa; Analisis Tentang Efektivitas Layanan Informasi Menggunakan Media Film
Authors: Wastuti Sri Ngayomi Yudha , Ramadhani Nadya Suci
Published: April 2024

This study aims to analyze teacher activities in educating religious students on religious tolerance, which is packaged through information services using film media. In this research, the film used is The Santri film by director Livi Zheng, released in 2019. The research location is in MTs. Insan Cita Medan, with research informants, focused on class VIII. This study uses quantitative research methods with a quasi-experimental approach. The research sample was 30 students, determined by purposive sampling. Data collection using questionnaires and interviews. Questionnaire to obtain data about information services and consultations to determine student responses to these services. Test the hypothesis made with the Product Moment formulation and for its significance using the t-test. The study results show a significant positive effect of information services using film media on religious tolerance in students VIII MTs. Insan Cita Medan Learning Year 2021/2022 with a correlation index of r-count = 0.7155 > r-table = 0.334 and a significant level of 51.19%. Thus the better the information services provided, the better the changes in the attitude toward religious tolerance of students.
Eksistensi Pendidikan Karakter Islami Berbasis Kearifan Lokal dan Relevansinya Terhadap Program Merdeka Belajar Kampus Merdeka
Authors: Haidir Haidir , Hizbullah Muhammad , Harahap M. Guffar , Ardat Ardat , Harahap Azrai
Published: April 2024

Islamic character education is the most important and urgent thing to be applied at various levels of education, both in primary, secondary and tertiary education, one of which is through local wisdom. With regard to that, this research aims to analyze the existence of Islamic character education based on local wisdom at UMN Al-Washliyah Medan. This research uses a qualitative description analysis method, by first collecting facts and data accurately and then tabulating them so that conclusions will be obtained. Data collection uses observation, interviews and documentation studies. The results of the study explain that, namely 1) UMN Al-Washliyah Medan is one of the PTU campuses that implements Islamic character education directly through lecture activities and outside lectures with the habituation method. 2) The existence of character education implemented at UMN Al-Washliyah Medan towards the era of independent learning is carried out with several models, namely habituation activities, exemplary, discipline, with rewards and punishments, with active / contextual and participatory learning. The local wisdom can be seen from the existence of Al-Washliyahan courses, one of which fosters student character.
Influence of relational leadership on employees' informal knowledge sharing: The effects of organizational commitment and team diversity
Authors: Niu Haopeng , Sun Ximing
Published: April 2024

This research aims to delve deeper into the impact of relational leadership on informal knowledge-sharing behavior and expand empirical research on these aspects in the Chinese context, providing further managerial perspectives for business leaders. This research focuses on in-service employees from 16 Chinese enterprises as our study subjects. We employ a questionnaire survey method to research the relationship between relational leadership and informal knowledge-sharing behavior. To construct a theoretical model, we also introduce two variables: organizational commitment as a mediating variable and team interdependence as a moderating variable. Examination of 683 data samples indicates that relational leadership facilitates employees' informal knowledge-sharing behavior and strengthens their organizational commitment. Importantly, raising organizational commitment levels serves as a means to promote the emergence of informal knowledge-sharing behavior. This means that relational leadership has a direct effect on employees’ informal knowledge-sharing behavior and can indirectly improve it by making employees more committed to the organisation, with organizational commitment acting as a mediator. Team interdependence makes relational leadership more effective for informal knowledge-sharing behavior. Studying the impact of informal knowledge sharing behavior among employees from the perspective of leader behavior style can promote the understanding of employee sharing behavior in the management process of enterprises and help enterprises maintain or even continuously acquire development motivation and vitality.
Analysis of users’ perceptions of data privacy on social media networks in Nigeria
Authors: Aliu Omowumi Hafsat , Omaji Samuel , Ukhurebor Kingsley Eghonghon , Abiodun Adeyinka Oluwabusayo , Onaseso Olatunji Oluwatosin
Published: April 2024

This present study aims to classify users' perceptions of data privacy on social media and provide feedback to users on making informed choices. The emergence of social media networks (SMNs) has revolutionized the way people interact and share information online. SMNs have enabled users to connect with friends, family, and colleagues, making communication more efficient and faster. Several studies have highlighted the data privacy challenges without providing a framework for the development of a system for classifying users’ perceptions of these data privacy challenges on SMNs. Furthermore, there is limited evidence-based research that examines the level of awareness about these hidden data privacy issues based on perceived threats by users. However, the widespread adoption of social media technologies has also raised concerns about privacy and security. The study explores and adopts a mixed-methods approach, integrating quantitative surveys and qualitative interviews. The survey collects data using Likert scale questions to measure participants' privacy concerns and awareness of data privacy settings. A total of 468 responses were obtained, representing diverse demographics. The findings indicate that the majority of respondents were males aged 18-25 years, with a high school education. Additionally, participants spent an average of 2-4 hours daily on social media. The study highlights the need for users to read privacy policies before registering information on websites. The results of this research contribute to a better understanding of users' perceptions of data privacy on SMNs, facilitating informed decision-making regarding social media usage.
geografía del voto en los municipios de usos y costumbres en Oaxaca: dinámicas del sufragio en elecciones para gobernador (1998-2022)
Authors: García García Edgar Pascual
Published: April 2024

El presente artículo expone, desde el enfoque de la geografía electoral, un análisis sobre la participación electoral y las preferencias electorales de los municipios de Oaxaca donde se eligen autoridades por usos y costumbres, tomando como referencia las elecciones para gobernador desde 1998 hasta 2022. El objetivo es exponer el sentido del voto entre los habitantes de estos espacios durante las elecciones. La investigación es un estudio comparado de corte cuantitativo que parte del análisis de las bases de datos de los resultados electorales. Concluyendo que aun cuando la participación electoral no ha incrementado, lo que sí ha cambiado son las preferencias electorales permitiendo una mayor competencia política dentro de estos espacios.
Enhanced free reaching phase SMC for UMS
Authors: Eddine Bendenidina Ali Nasser , Guesmi Kamel , Rebai Aissa
Published: April 2024

In this paper, a new design method for sliding mode control (SMC) is presented for nonlinear underactuated mechanical systems. The aim is to eliminate the reaching phase in SMC and avoid the chattering phenomenon while achieving fast and robust tracking for a class of underactuated mechanical systems (UMS). An alternative method is presented to express the sliding domain equations by incorporating tracking errors. The fundamental concept behind the suggested control scheme is to adjust the tracking errors, enabling the system response to commence on the sliding surface regardless of the initial conditions. This modification guarantees the elimination of the reaching phase, avoiding the chattering phenomenon, and ensuring that the tracking error converges to zero. The stability analysis of the proposed approach is conducted using the Lyapunov method. Through numerical simulations, the validity of the approach is confirmed by implementing the control scheme on a crane system. Subsequently, the performance of the proposed approach is compared with other control methods, emphasizing its effectiveness in handling uncertainties. This comparative analysis aims to emphasize the advantages and efficiency of the proposed control strategy over alternative methods, in particular, to address uncertainties and achieve the desired control objectives.
Activator effect on sawdust-based adsorbent efficiency: application to organic pollutants decontamination
Authors: Mekibes Zohra , Boucherdoud Ahmed , Bestani Benaouda , Benderdouche Noureddine
Published: April 2024

The aim of this study is to valorize available Sawdust as a ligno-cellulosic and locally abundant solid waste generated by different activities, via combined chemical and physical activations route and its application for the removal of hydroxybenzene as a toxic pollutant from aqueous solution in discontinuous mode. Enhancement of adsorption capacities by impregnating separately the powdered sawdust in acidic (phosphoric acid: 20%), basic (potassium hydroxide: 20%) and salty (Ammonium Persulfate: 0.1M) solutions then pyrolysis at 600°C for 1hour in tubular furnace resulting in SWDA, SWDB and SWDS- based adsorbents. The adsorptive rates of the obtained adsorbents were compared to the commercial activated carbon from Merck taken as a reference. The batch adsorption experiments resulted in a maximum adsorption capacities obtained from Langmuir model of up to 192.31, 123.56 and 109.89 and 133.33 mg/g for SWDA, SWDB, SWDS and Merck respectively. Conventional parameters influencing the removal capacity of the considered pollutant such as contact time, adsorbent dosage, pH, initial concentration and temperature were also studied. Samples characterization was carried out using Fourier-transform infrared spectroscopy (FTIR) analyses for functional groups determination, Iodine number test for porosity and scanning electronic microscopy (SEM) for microstructure examination of the samples.  Adsorption kinetics was found to comply with the pseudo second order with a good correlation factor (R2 > 0.99) with intra-particle diffusion as the rate determining steps. Thermodynamics of Hydroxybenzene adsorption process was spontaneous (ΔG o <0) and endothermic (ΔHo >0). This study showed that sawdust as a waste could prove to be a very efficient adsorbent in removing toxic substances from wastewater.
A comparison of in-hospital stroke and community- onset stroke outcomes after endovascular thrombectomy at a tertiary level hospital in Taiwan
Authors: Lin Kuei-Ming , Wang Chen-En , Liao Hong-Ji , Chen Wei-Laing , Tsai Sheng-Ta , Wu Shih-Hao , Huang Jia-Lun , LIN CHIA WEI
Published: April 2024

Background: While acute-phase thrombectomy is a recognized treatment for main cerebral artery occlusion, variability exists in outcomes for in-hospital stroke and community-onset stroke patients undergoing endovascular thrombectomy. This study investigates the prognostic differences between in-hospital stroke and community-onset stroke patients in an Asian context, with a focus on the impact of patient transfer processes on treatment outcomes.
Methods: Data were collected from in-hospital stroke patients who underwent endovascular thrombectomy in a tertiary medical center between January 2017 and December 2020. Propensity score matching with a ratio of 1:4 was performed to compare in-hospital stroke and community-onset stroke patients based on sex, age, NIHSS, and occluded vessel location.
Results: The study included 20 in-hospital stroke and 80 community-onset stroke patients, with no significant difference in successful recanalization rates, complications, mortality rates, and NIHSS and mRS scores between the groups. The community-onset stroke group had longer times to treatment, particularly among transferred patients. A high proportion of in-hospital stroke patients had undergone surgery before their stroke, and a greater incidence of heart failure was noted in this group.
Conclusion: Despite pre-stroke surgical treatments and a higher rate of heart failure in in-hospital stroke patients, prompt endovascular thrombectomy resulted in comparable outcomes to community- onset stroke patients. The study underscores the importance of reducing treatment times, especially for transferred patients, to improve stroke care efficacy.
Modelo transteórico para prática de atividade física em ado-lescentes: evidências científicas baseadas em revisão sis-temática da literatura
Authors: Medeiros Daniel de Sousa , Souza Leonardo Rodrigues , Vale Andressa Queiroz Monteiro do , Rossi-Barbosa Luiza Augusta Rosa , Silva Rosângela Ramos Veloso
Published: April 2024

O comportamento para a prática de atividade física entre adolescentes tem despertado grande interesse quanto à investigação dos hábitos saudáveis para a promoção da saúde. O objetivo do presente artigo foi identificar as evidências científicas sobre a prevalência nos estágios de mudança de comportamento do modelo transteórico para atividade física em adolescentes. Trata-se de revisão sistemática da literatura científica, realizada nas bases de dados Lilacs, Medline e Bireme com o algoritmo (Exercise) OR (Activity, Physical) OR (Motor Activity) AND (Teenager) OR (Adolescent) AND (Transtheoretical Model) OR (Stages of Change) OR (Stages of Readiness) OR (Process of Change) OR (Behavior Change). O processo de seleção esteve de acordo com o protocolo Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).  Dos 1.150 artigos, quatro compuseram a amostra final, sendo três estudos longitudinais, dois deles com grupo controle. Efetuou-se um checklist para avaliar a qualidade metodológica dos artigos longitudinais. A prevalência nos estágios iniciais (Pré-Contemplação e Contemplação) foi alta, tanto nos estudos longitudinais, como no estudo transversal. Nas pesquisas longitudinais, pode-se observar um aumento da prevalência nos estágios de Preparação e Ação entre os indivíduos dos grupos de intervenção, quando comparados aos grupos controle. É necessário trabalhar os estágios com os constructos de autoeficácia, equilíbrio de decisão e processos de mudança. Verificou-se ser possível obter sucesso por meio das redes sociais, pois os participantes melhoraram seus índices, passando dos estágios da intenção de agir para os estágios de ação. Novas pesquisas longitudinais, com grupo controle, devem ser realizadas fazendo uso de ferramentas objetivas como acelerômetros e pedômetros. Além do mais, políticas públicas devem ser desenvolvidas na adolescência tendo como base o modelo transteórico.
A systematic review of maternal exposures and the risk of autism spectrum disorders in their infants
Authors: Jansen Shae N , Baugh Kyle M , Adams James B , Flynn Christina K , Haas David M
Published: April 2024

Background

Maternal exposures associated with autism spectrum disorder remain poorly understood.

Objective

The purpose of this systematic review was to assess the current understanding of maternal exposures and their associations with increased or decreased risk of infant autism.

Study Design

We searched Ovid MEDLINE databases and reference lists in 2021 for studies looking at maternal factors analyzed for an association with ASD. The primary outcome was autism or autism spectrum disorder diagnosis. Exposures were grouped as biomarkers, environmental, occupational, medication, genetic variability, and maternal illnesses and conditions. PRISMA guidelines were followed. Descriptive summary statistics were evaluated.

Results

Of 433 reports identified, 47 studies published between 2006 and 2021 fulfilled the inclusion criteria. Exposures consistently associated with a significant increased risk of autism spectrum disorder outcomes included: benzoate, 10-hydroxydecanoate, methyl jasmonate, 1-methylhistidine, nonanoic acid, organohalogens, ornithine, polyunsaturated fatty acids, agricultural pesticides, heavy metals (arsenic, cadmium, chromium, lead, low levels of manganese, tin), cigarette smoking, hypotaurine, indoor household pesticides, methanol, newborn complications at delivery, occupational exposures, solvents, strontium, urate, antibiotics, placental differently methylated regions, diabetes, maternal fever, maternal depression, androgen-associated conditions and psychiatric disorders. Factors consistently associated with a significant decreased risk included: quinoline, air conditioning, cesium, copper, 3-hydroxybutanic acid, maternal fruit consumption, mercury, and phenylalanine.

Conclusions

This review provides evidence that there are several potential pregnancy exposures and biomarkers associated with an autism spectrum disorder diagnosis in children. Genetic mutations may play role in impact of exposures’ risks. Continued work on identifying potential exposures and biomarkers is needed to better counsel pregnant individuals.
PENGARUH KOMPENSASI, REPUTASI PERUSAHAAN DAN LINGKUNGAN KERJA TERHADAP MINAT MELAMAR KERJA DI KABUPATEN SEMARANG
Authors: Rezza Mahindra Suntoro  , Teti Safari  , Deddy Krisdiyanto
Published: April 2024

Tujuan penelitian ini: Mengetahui pengaruh kompensasi terhadap minat melamar kerja. Mengetahui pengaruh reputasi perusahaan terhadap minat melamar kerja. Mengetahui pengaruh lingkungan kerja terhadap minat melamar kerja. Mengetahui pengaruh kompensasi, reputasi perusahaan, dan lingkungan kerja terhadap minat melamar kerja. Penelitian ini menggunakan pendekatan kuantitatif. Teknik sampling yang digunakan adalah probability sampling dengan random sampling dimana peneliti sengaja menentukan sampel sesuai dengan area dan persyaratan sampel yang dibutuhkan. Populasi penelitian ini adalah seluruh gender berusia 18 - 50 tahun dan bertempat tinggal pada beberapa desa di wilayah Kabupaten Semarang khususnya di Desa Randugunting, Susukan, Jimbaran, Patemon, Gentan dan Badran, sampel penelitian ini berjumlah 142 responden. Metode pengumpulan data yang digunakan adalah skala dengan variabel terikat minat melamar kerja dan variabel bebasnya yakni, kompensasi, reputasi perusahaan, dan lingkungan kerja. Teknik analisa data menggunakan uji analisis regresi linier berganda dengan bantuan program Statistical Package for Social Sciences (SPSS) 27.0 for Windows. Hasil penelitian menunjukan: Kompensasi tidak berpengaruh terhadap Minat Melamar Kerja. Reputasi Perusahaan tidak berpengaruh terhadap Minat Melamar Kerja. Lingkungan Kerja paling berpengaruh terhadap Minat Melamar Kerja. Sedangkan hasil penelitian secara bersama-sama menunjukkan bahwa Kompensasi, Reputasi Perusahaan, dan Lingkungan Kerja berpengaruh terhadap Minat Melamar Kerja.
Using The Regression Method to Discover the Relationship Between Real Estate and Stock Market
Authors: Li Zixuan
Published: April 2024

Recently, with the economic fluctuation, the relationship between house price and the stock market index has been paying much attention. However, this relationship has not been fully clarified yet through historical research. In this paper, several regression models including linear regression model and non-linear regression model are constructed to test for both single and dual relationship between the house price and market index.  The assumption and method used in building the model will also be discussed. From testing, there is a positive linear effect on house price from the market index (approximately 80% of house price variation has been explained by the market index). On the opposite side, house price affects 93% of the market index in a positive non-linear pattern. Besides that, GDP can explain around 90% of house price variation in a positive linear relationship. This paper aims to help investors to have a better understanding of the relationship between these two and to help them build a better investment portfolio.
Cauchy's Criterion for Non-negative Hyperbolic Series
Authors: Chen Xin , Li Yuxin , Zhu Zhuolin
Published: April 2024

Hyperbolic number plane constitutes a significant area of algebraic research, with their properties finding wide-ranging applications across various fields. Meanwhile, Cauchy's criterion, as an effective tool for determining series convergence, has also been extensively utilized in the study of hyperbolic numbers within mathematical analysis and practical problem-solving, offering valuable insights and practical applications. The paper conducted an in-depth exploration of the non-negative hyperbolic plane, applying the Comparison test and further investigating the Cauchy's criterion on the non-negative hyperbolic plane. Through the application of the comparison test, the paper have arrived at an important conclusion: when considering two numbers, and , in the non-negative hyperbolic complex plane, and , the convergence of  implies the convergence of , and divergence of implies the divergence of . Furthermore, through a detailed analysis of Cauchy’s criterion, the paper also discovered a key finding: when a certain number r in the non-negative hyperbolic plane satisfies , if , the corresponding infinite series converges, whereas if , the series diverges. The paper not only pushes the frontiers of mathematical theory but also unlocks fresh avenues for interdisciplinary exploration. By delving into uncharted territories, it expands our understanding of mathematical principles and their applicability across diverse fields. Moreover, it fortifies mathematics' central role in addressing real-world challenges, providing essential tools and insights. As a cornerstone for future research, this work paves the way for innovative mathematical investigations and their practical applications, fostering a deeper symbiosis between theory and the real world.
Preface: 5th International Conference on Computer Science and Intelligent Communication (CSIC 2023)
Authors: Reade Elaine , Wang Yapeng
Published: April 2024

2023 5th International Conference on Computer Science and Intelligent Communication (CSIC 2023) was held in Vancouver, Canada during December 30-31, 2023. This conference provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of computer science, artificial intelligence, machine learning, information engineering, and communication technology. A key aspect of this conference is the strong mixture of academia and industry.

All papers in this proceeding were subject to peer-review by conference committee members and international reviewers. The papers were selected for the proceedings based on quality and relevance to the conference. We express our gratitude to all people who contributed to the review process and did all their best to enhance the scientific merit and quality of the proceedings. We are also grateful to the authors for their contributions, to the speakers and participants. We wish to extend our warmest welcome to all interested participants to the next CSIC.

The CSIC Organizing committee

Vancouver, Canada
Prediction Of Population Size and Age Structure in China Based on Grey Prodiction and Leslie Model
Authors: Wang Linhui , Huang Yutong , Liu Zhihong
Published: April 2024

Population is a major problem that restricts China's comprehensive, coordinated and sustainable development. Therefore, it is of great significance to establish a model that can accurately predict the population and age structure. This paper uses GM (1,1) to obtain the gender ratio of future newborn population and total population, quantifies the three-child policy as the increase in the fertility rate of women of childbearing age, uses the Leslie model to obtain the female population at all ages, and finally gets the national population and age structure in the next five years under the background of the three-child policy. The results show that the opening of the three-child policy positively impacts the increase of the newborn population and the growth rate of the total population in the early future. But as time goes by, it still cannot restrain the decrease in the newborn population and the net increase of the total population. In addition, the aging problem has not been effectively improved in the short term. In the next five years, the proportion of the aged population continues to rise, while the young population gradually decreases. In terms of the labor force coefficient, there will be a downward trend from 2021 to 2025 and a slight increase from 2025 to 2026.
Comparison with EVENODD Code and Reed Solomon Code based on Implementation of RAID 6
Authors: Wei Wanzhen
Published: April 2024

In the era of big data, the precision of information is paramount and any loss or corruption is intolerable for the entire system. To ensure robust data resilience and redundancy, some advancements encompass techniques like data replication, erasure coding, and fault-tolerant architectures. Reed-Solomon (RS) code and EVENODD code are utilized as error-correcting code in data storage and various applications. Additionally, the RAID 6 technology is a storage technology that implements block-level striping and dual parity in order to withstand the simultaneous failure of up to two drives. In a comparative analysis of EVENODD and RS code, it is observed that EVENODD code entails fewer XOR operations, indicating a higher level of efficiency in encoding operations. However, RS code outperforms EVENODD in terms of I/O operation required for decoding. Moreover, it summarizes the application performance of RS code and EVENODD code in the framework of RAID 6, providing valuable insights for the next generation of storage systems.
Research on AWG-based Switching Dual-Wavelength Fiber Lasers
Authors: Tan Haojun
Published: April 2024

Compared with other lasers, fiber laser is widely used in optic communication, industrial production, biomedical sciences, and other fields because of its excellent technical performance, low manufacturing cost, mature technology, high conversion efficiency, high stability, and many other advantages. Recently, two new optical fiber communication techniques that are quickly evolving are Wavelength Division Multiplexing (WDM) and Dense Wavelength Division Multiplexing (DWDM). As a result, multiwavelength and wavelength-tunable fiber lasers were created to address the demand for optical communication systems with high throughput, high quality, and high speed. Due to their advantages in lowering equipment complexity, enhancing network flexibility, enhancing fiber system integration, etc., switching dual-wavelength fiber lasers based on Array Waveguide Grating (AWG) have received a lot of attention. This paper studies two switching dual-wavelength fiber laser based on AWG. Firstly, the basic structure of Erbium-doped Fiber Laser (EDFL) is analyzed based on the basic principle of Erbium-Doped Fiber (EDF). In addition, the working principle of AWG is analyzed emphatically. Finally, AWG-based switching dual-wavelength fiber lasers in linear/ring cavity, which achieve that the adjustable wavelength intervals between 0.8nm to 12nm, are verified and discussed experimentally. Additionally, experimental data shows that the dual-wavelength lasing power is stable and equal.
Advancements in Private Set Union: Protocols, Security Frameworks, and Applications
Authors: Lin Zihan , Wang Jingyan , Xu Shuaiqi
Published: April 2024

Private Set Union (PSU), a subset of Private Set Intersection (PSI) methodologies, is swiftly marking its importance in an era that progressively values computational integrity without infringing data privacy. This necessity sprouted from the intricate balance between ensuring rigorous privacy protection and fostering beneficial data sharing. PSU enables multiple entities to establish a union of their individual datasets without revealing their private information to each other. The foundational security models that drive PSU are both intricate and robust, with roots tracing back to the Computational Diffie-Hellman problems. These problems address the challenges of ensuring secure computations in multi-party scenarios. Attack strategies targeting PSU have evolved over time, leading to an enhancement in the defense mechanisms. Techniques utilizing encryption, randomization, and other cryptographic methods have seen consistent improvement, making privacy-preserved inter-party data analytics both feasible and efficient. Recent breakthroughs in PSU protocols have seen rigorous evaluations based on efficiency, security, and performance metrics. These evaluations aim to determine how these protocols fare under real-world conditions and what challenges they might encounter. Additionally, PSU’s adaptability and relevance have been showcased across various industries. Whether it's digital libraries collaborating for enriched content while preserving copyright restrictions, financial institutions aiming to analyze transaction patterns without compromising individual account details, risk assessment firms sharing data to provide better evaluations without revealing sensitive details, joint graph computations ensuring optimal routing without exposing network infrastructures, or the ever-growing Internet of Things (IoT) ecosystem maintaining device interoperability while upholding user privacy; PSU’s prominence is undeniable.
Predictive Modeling of Seismic Events: A Comparative Analysis Of K-Nearest Neighbors and Random Forest Algorithms
Authors: Sun Dayang
Published: April 2024

This study processes and predicts seismic data using data visualization approaches, K-nearest neighbors (KNN) and the random forest (RF) algorithms. The analysis's dataset includes a number of variables connected to earthquakes.  The primary goal is to devise a forecast algorithm capable of accurately categorizing seismic events, data visualization tools are utilized to gain insights into the dataset, producing informative charts that depict the distribution and correlations among different variables. This visual evaluation aids in pinpointing anomalies or trends, facilitating a deeper understanding of the data's characteristics and guiding decisions during the modeling phase. Subsequently, the KNN method classifies earthquake occurrences based on their attributes, predicting the class label by considering the characteristics of its nearest neighbors. Additionally, Accurate classification of seismic events is enhanced by using RF, an ensemble learning technique that combines many decision trees to produce predictions. To optimize outcomes, the study adjusts the random forest model's hyperparameters through cross-validation. The study compares the performance of KNN and RF using a confusion matrix. The confusion matrix shows a thorough insight of categorization performance, which provides a comprehensive view of categorization efficacy. This assessment underscores the models' precision and effectiveness in classifying seismic events.
Comparison Between Logistic Regression, LSTM, and Random Forest in Chinese Stock Prediction
Authors: Zhou Shiming
Published: April 2024

T Machine learning is transforming industries with its ability to derive insights and patterns within massive datasets. Among numerous algorithms available, certain foundational models stand out due to their efficiency and capability. This article compares three such models: linear models, decision trees, and neural network models. While all three has its unique pros and cons, this article aims to guide readers in choosing most fitting model with their tasks, by clarify the difference and future outlooks of these models.
Application And Optimization of Deep Reinforcement Learning in News Recommendation
Authors: Li Ziyan
Published: April 2024

In the era of online news platforms, the task of delivering personalized news recommendations to users has emerged as a critical challenge. This study delves into the utilization of Deep Q-Networks (DQN) within news recommendation systems, with a specific focus on the integration of loss functions and gradient descent optimization techniques. This combined approach aims to enhance the precision of estimating Q-values, ultimately resulting in more accurate and personalized article suggestions for users. The architectural design of the model involves the pairing of DQN with loss functions and gradient descent optimization, tailored for the domain of news recommendation. To validate this innovative approach, a comprehensive series of experiments has been executed, systematically benchmarking it against the conventional DQN framework. The empirical findings unequivocally demonstrate the superiority of the DQN fused with loss functions and gradient descent optimization across multiple performance metrics. These metrics encompass essential aspects such as click-through rates, user engagement duration, and overall satisfaction scores, affirming the effectiveness of the proposed approach. Furthermore, an extensive review of pertinent literature pertaining to the application of DQN in the realm of news recommendation is presented, providing readers with valuable contextual insights and a broader perspective. In summation, this paper underscores the compelling efficacy and untapped potential inherent in the fusion of loss functions and gradient descent optimization within DQN-based news recommendation systems.
Action Detection in Badminton Courts Using AVA Dataset and MMAction2 Architecture with Slow Fast Model
Authors: Chen Yuhan
Published: April 2024

As a matter of fact, action detection technologies have emerged as powerful tools for a multitude of applications, from surveillance and security to healthcare and sports analytics. Badminton courts, especially those that are highly frequented, present unique challenges owing to the concentration of people engaged in diverse activities. Incidents such as unintended collisions between players, or unauthorized walking across the courts, are not uncommon and necessitate efficient monitoring for risk mitigation. This study addresses these issues by employing the MMAction2 architecture and the Slow Fast model for action detection in badminton courts. The author uses a dataset collected from multiple badminton facilities and leverages the AVA dataset for training and validation. The results are promising, with the model showing high levels of accuracy in identifying various types of actions: playing badminton, sitting, walking across the court, falling, and watching the game. The implications of this research are significant for badminton court management and safety.
Artificial Intelligence Methods in Natural Language Processing: A Comprehensive Review
Authors: Chen Yanhan , Wang Hanxuan , Yu Kaiwen , Zhou Ruoshui
Published: April 2024

The rapid evolution of Artificial Intelligence (AI) since its inception in the mid-20th century has significantly influenced the field of Natural Language Processing (NLP), transforming it from a rule-based system to a dynamic and adaptive model capable of understanding the complexities of human language. This paper aims to offer a comprehensive review of the various applications and methodologies of AI in NLP, serving as a detailed guide for future research and practical applications. In the early sections, the paper elucidates the indispensable role of AI in NLP, highlighting its transition from symbolic reasoning to a focus on machine learning and deep learning, and its extensive applications in sectors such as healthcare, transportation, and finance. It emphasizes the symbiotic relationship between AI and NLP, facilitated by platforms like AllenNLP, which aid in the development of advanced language understanding models. Further, the paper explores specific AI techniques employed in NLP, including machine learning, Naive Bayes, and Support Vector Machines, and identifies pressing challenges and avenues for future research. It delves into the applications of AI in NLP, showcasing its transformative potential in tasks such as machine translation, facilitated by deep learning methods, and the development of chatbots and virtual assistants that have revolutionized human-technology interaction. The paper also highlights other fields impacted by AI techniques, including text summarization, sentiment analysis, and named entity recognition, emphasizing the efficiency and accuracy brought about by the integration of AI in these areas. In conclusion, the paper summarizes the remarkable advancements and persistent challenges in NLP, such as language ambiguity and contextual understanding, and underscores the need for diverse and representative labeled data for training. Looking forward, it identifies promising research avenues including Explainable AI, Few-shot and Zero-shot Learning, and the integration of NLP with other data modalities, aiming for a holistic understanding of multimodal data. The paper calls for enhanced robustness and security in NLP systems, especially in sensitive applications like content moderation and fake news detection, to foster trust and reliability in AI technologies. It advocates for continual learning in NLP models to adapt over time without losing previously acquired knowledge, paving the way for a future where AI and NLP work synergistically to understand and generate human language more effectively and efficiently.
Web Design for Emotion Tracking in Individuals with Major Depressive Disorder
Authors: Li Yingzi
Published: April 2024

Major Depressive Disorder (MDD), classified as an affective disorder, has been observing an escalating incidence annually. Despite the growing focus on MDD, there remains a paucity of research dedicated to emotion-tracking software tailored for MDD patients. While a plethora of emotion-tracking applications exists, none can concurrently document emotions and facilitate psychological interventions. This manuscript delineates a web application that amalgamates emotion documentation, analytical procedures, and psychological counseling tailored for MDD patients. The discourse encompasses three pivotal facets: the implications and intricacies of UI design, the functional blueprint, and the actualization of functionalities. The UI design is elucidated from both visual and interactive dimensions, and the functional architecture is broached from the perspectives of both patients and clinicians. Employing the React framework, the application adopts the MVVM architectural pattern, integrates a distributed database system, and endorses interfaces for advanced algorithmic extensions, proffering a streamlined online modality for emotional alleviation and therapeutic interventions for MDD patients.
Lorenzo Natali e la politica comunitaria: L’”altra Italia” in Europa (1977-1988)
Authors: Meli Lorenzo
Published: April 2024

On the eve of the fall of the Wall, the European Community is a mature and evolving reality, already able to compete commercially with the United States and grappling with the complex design of the great Single market. At the same time, it has developed political ambitions, with the first forms of foreign policy coordination between Member States, and the start of the long road towards Economic and Monetary Union. Alla vigilia della caduta del Muro, la Comunità europea è una realtà matura e in piena evoluzione, già in grado di competere sul piano commerciale con gli Stati Uniti, e alle prese con la complessa progettazione del grande mercato unico. Ha al contempo sviluppato ambizioni di natura politica, con le prime forme di coordinamento della politica estera tra Stati membri, e l’avvio del lungo percorso verso l’Unione economica e monetaria. Lorenzo Natali (1922-1989) è un protagonista tra i meno conosciuti di questa storia. Presente sin dall’atto di nascita delle Comunità, nei trent’anni seguenti accompagna con il suo percorso politico i passaggi fondamentali della costruzione europea, dapprima come ministro e dai tardi anni Settanta come commissario italiano a Bruxelles, il più longevo per durata d’incarico. A lui si devono in particolare alcuni dei traguardi più importanti di quella stagione, dalla realizzazione del grande allargamento a Sud all’implementazione della prima politica ambientale della Ce, fino al consolidamento di un dialogo paritario allacciato tra l’Europa e il Sud globale. Questo libro intende restituire un primo squarcio di luce sulla sua figura e la sua azione politica
Commercial extraction of essential oil from Lantana camara
Authors: Chauhan Nirpendra , Lohani Hema , Sah Sunil , Yadav R.
Published: April 2024

Fresh twigs of Lantana camara on small industrial hydro steam-distillation unit yield 0.056% oil. GC-MS analysis of the oil shows that susquiterpenes are the major constitutes of the oil. Among these, b-Caryophyllene (17.53%), Germacrene-D (19.55%) and b-Curcumene (10.22%) as the major components. Economics of the processing has been worked out and it has been found that essential oil extraction from the twigs of Lantana is a viable alternative to check the spread of this weed and at the same time makes use of this as a source of substantial income to the people.
Neutrosophic Likert Scale for Evaluating Environmental Sanctions
Authors:   Universidad Regional Autónoma de Los Andes Babahoyo, Ecuador, Iyo Iyo ,   Universidad Regional Autónoma de Los Andes Puyo, Ecuador,   Universidad Regional Autónoma de Los Andes Santo Domingo, Ecuador,   Tashkent State University of Economics, Uzbekistan, .. Manuel Ricardo Vel� , .. Javier D. Bosquez , Abdurashidova Marina
Published: April 2024

One of the fundamental tools to guarantee compliance with environmental laws is the sanctions, which act as deterrent mechanisms against possible violations. The present study focused on evaluating public perceptions towards environmental policies and sanctions, applying a methodology that integrates neutrosophy and indeterminate Likert scales to capture the complexity of human opinions on environmental legislation. By distributing a structured questionnaire to a representative sample, data was collected and subsequently analyzed using neutrosophic logic and cluster analysis techniques. The results underlined the importance of considering indeterminacy and uncertainty in the study of public perceptions towards environmental sanctions, providing valuable data for the improvement of environmental policies and communication in this area. This study demonstrates the relevance of addressing human attitudes and behaviors toward environmental challenges inclusively and effectively.
Interval Valued Neutrosophic INK-Ideal Via INK-Algebra
Authors:   Department of Mathematics, H. H. The Rajah’s college, Affiliated by Bharathidasan University, Tiruchirappalli, Pudukkottai-622-001, Tamil Nadu, India., R. R. ,   Department of Mathematics, H. H. The Rajah’s college, Affiliated by Bharathidasan University, Tiruchirappalli, Pudukkottai-622-001, Tamil Nadu, India; Arignar Anna Government Arts College, Namakkal - 637 002, India.,   Department of Mathematics, Annamalai University, Annamalai Nagar - 608 002, India., Balasubramanian KR. , Vadivel A.
Published: April 2024

Based on Zadeh’s notion of interval-valued fuzzy set, we develop in this work the notion of interval-valued neutrosophic INK-ideals (briefly, IV N INK-ideals) in INK-algebra and evaluate some of its properties. We show that all N INK-ideals of INK-algebra A can be realized as IV level INK-ideals of INK-algebra A. We then deduce numerous related results, which are summarized in the abstract.
Hypersoft Sets in a Game Theory-Based Decision Making Model
Authors:   Department of Mathematics, University of New Mexico, Gallup, NM 87301, USA., M. M. ,   Department of Mathematics, Nallamuthu Gounder Mahalingam College,Tamil Nadu, India.,   Department of Mathematics, Nallamuthu Gounder Mahalingam College,Tamil Nadu, India., Inthumathi V. , Amsaveni M.
Published: April 2024

In this study, we offer a hypersoft set theory-based game model for handling uncertainties. The term ”hypersoft game” refers to this newly suggested game. Four techniques of game solution are identified: hypersoft saddle points, hypersoft upper and lower values, hypersoft dominated strategy and hypersoft nash equilibrium. We build a two-person hypersoft game first. Additionally, we present real-world problems that the hypersoft saddle point approaches and hypersoft dominating strategy are used to tackle. In conclusion, we expand the hypersoft games from two players to n players.
Differential Resistance of Radish Cultivars against Bacterial Soft Rot Caused by Pectobacterium carotovorum subsp. carotovorum
Authors: Lee Soo Min , Lee Jin Ju , Kim Hun , Choi Gyung Ja
Published: April 2024

Bacterial soft rot caused by Pectobacterium carotovorum subsp. carotovorum (Pcc) is one of the most severe diseases in radish cultivation. To control this plant disease, the most effective method has been known to cultivate resistant cultivars. Previously, we developed an efficient bioassay method for investigating resistance levels with 21 resistant and moderately resistant cultivars of radish against a strain Pcc KACC 10421. In this study, our research expanded to investigate the resistance of radish cultivars against six Pcc strains, KACC 10225, KACC 10421, ATCC 12312, ATCC 15713, LY34, and ECC 301365. To this end, the virulence of the six Pcc strains was determined based on the development of bacterial soft rot in seedlings of four susceptible radish cultivars. The results showed that the Pcc strains exhibited different virulence in the susceptible cultivars. To explore the race differentiation of Pcc strains corresponding to the resistance in radish cultivars, we investigated the occurrence of bacterial soft rot caused by the six Pcc strains on the 21 resistant and moderate resistant cultivars. Our results showed that the average values of the area under the disease progress curve were positively correlated with the virulence of the strains and the number of resistant cultivars decreased as the virulence of Pcc strains increased. Taken together, our results suggest that the resistance to Pcc of the radish cultivars commercialized in Korea is more likely affected by the virulence of Pcc strains rather than by race differentiation of Pcc.