bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH LINGKUNGAN SOSIAL DAN PENDAPATAN ORANG TUA TERHADAP MINAT ANAK UNTUK MELANJUTKAN STUDI KE PERGURUAN TINGGI DI DESA WERDHI AGUNG INDUK
Authors: Tawas Yance , Mottoh Rommy J. , Sri Wahyuni Ni Wayan 
Published: December 2022

ABSTRAK
Penelitian ini bertujuan untuk mengetahui adanya pengaruh lingkungan sosial dan pendapatan orang tua secara bersama-sama terhadap minat anak untuk melanjutkan studi ke perguruan tinggi. Jenis penelitian ini yaitu penelitian survey dimana kuesioner menjadi teknik dalam pengumpulan data. Populasi penelitian ini adalah seluruh masyarakat di desa Werdhi Agung Induk, tetapi yang menjadi sasaran adalah anak-anak mulai usia 17-20 tahun (usia untuk anak-anak yang baru menyelesikan studi SMA/Sederajat, baik yang baru lulus sekolah maupun anak-anak yang sudah menyelesaikan studinya dan belum mendapat pekerjaan serta anak-anak yang sudah mendapat pekerjaan) yang berdomisili di dusun 5 dan dusun 6, dengan pengambilan sampel penelitian menurut Arikunto (2012) sehingga jumlah sampel pada penelitian ini adalah 50 orang anak. Data di analisis menggunakan analisis regresi berganda, serta uji hipotesis dan hasilnya adalah thitung = 4,946 > ttabel 1,676 dan thitung = 5,426 > ttabel 1,676. dengan demikian H0 ditolak pada taraf signifikan 0,05 dan menerima H1 sehingga kesimpulannya adalah lingkungan sosial dan pendapatan orang tua berpengaruh terhadap minat anak untuk melanjutkan studi ke perguruan tinggi.
Kata Kunci: Minat Anak, Lingkungan Sosial dan Pendapatan Orang Tua

ABSTRACT
This study aims to determine the influence of the social environment and parents' income together on children's interest in continuing their studies to college. This type of research is survey research where questionnaires become a technique in data collection. The population of this study is the entire community in the village of Werdhi Agung Induk, but the targets are children from the age of 17-20 years (the age for children who have just completed high school/equivalent studies, both those who have just graduated from school and children who have just graduated from high school). have completed their studies and have not got a job and children who have got work) who are domiciled in hamlet 5 and hamlet 6, with research sampling according to Arikunto (2012) so that the number of samples in this study was 50 children. The data were analyzed using multiple regression analysis, as well as hypothesis testing and the results were tcount = 4.946 > ttable 1.676 and tcount = 5.426 > ttable 1.676. Thus H0 is rejected at a significant level of 0.05 and accepts H1 so that the conclusion is that the social environment and parents' income affect the child's interest in continuing their studies to college.
Keywords: Children's Interests, Social Environment and Parents' Income
Fine needle aspiration of follicular lesions of the thyroid
Authors: Shachi Shachi , Singh Abhay , Mahantesh G. 
Published: December 2022

Background: Fine needle aspiration (FNA) is a reliable method in the initial assessment of thyroid nodules. This study evaluated the accuracy of fine needle aspiration cytology (FNAC) in cases of follicular neoplasm (FN) on the basis of histologic diagnosis, and reviewed the cytologic findings of FN according to the FNAC.Method: Among the 100 cases diagnosed with thyroid Follicular Neoplasm by FNAC during the 3 year period from October 2020 to September 2022, 54 cases that had undergone thyroid surgery were available for review. Cytologic diagnosis was compared with the histologic diagnosis of each case.Results: Among the 54 cases with a cytologic diagnosis of thyroid FN, histologic diagnosis was as follows: 32 follicular adenomas (59.3%), 4 Hurthle cell adenomas (7.4%), 2 follicularcarcinomas (3.7%),10 nodular goitres (18.5%), 2 papillary carcinomas (3.7%), and 1 Hashimoto'sthyroiditis (3.7%), resulting in a diagnostic accuracy of FNAC for thyroid FN of 70.4%.Conclusion: This study shows that FNAC for thyroid FN is a useful primary screening method because when FN is diagnosed by FNAC, the rate of FN histological diagnosis is relatively high and however, adequate sampling and experience is a prerequisite for this procedure.
Injectable Multifunctional Natural Polymer-Based Hydrogels for the Local Delivery of Therapeutic Agents
Authors: Bai Xue , Tirella Annalisa 
Published: December 2022

Mini Review
Injectable Multifunctional Natural Polymer-Based Hydrogels for the Local Delivery of Therapeutic Agents

Xue Bai 1，Annalisa Tirella1,2,*

1 Division of Pharmacy and Optometry, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UK.
2 BIOtech-Center for Biomedical Technologies, Department of Industrial Engineering, University of Trento, Via delle Regole 101, Trento 38123, Italy.
* Correspondence: annalisa.tirella@unitn.it , annalisa.tirella@manchester.ac.uk (Annalisa Tirella).

Received: 13 November 2022
Accepted: 15 November 2022
Published: 21 December 2022

Abstract: Hydrogels are water-based polymeric three-dimensional network with advantageous properties for the delivery of bioactive components, ranging from small therapeutic agents to therapeutic cells. Natural-based hydrogels have great potential as delivery vehicles for the local controlled release of therapeutic agents at the target site. Injectable hydrogels are designed to load therapeutic agents by simple mixing within the polymer solutions, as well as use nanoparticles able to respond to specific external conditions, such as temperature and pH. Herein, we present an overview of the properties of natural injectable hydrogels and recent developments for their use to control the local release of therapeutic agents; as well as strategies to crosslink in-situ multifunctional injectable hydrogels that act as therapeutical depot system. The mini review focuses on alginate-based injectable hydrogels as controlled drug delivery systems, presenting advantages and challenges of their application in cancer therapy
Inaugural Issue for International Journal of Network Dynamics and Intelligence
Authors: Wang Zidong 
Published: December 2022

Editorial
Inaugural Issue for International Journal of Network Dynamics and Intelligence

Zidong Wang *

Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, United Kingdom
* Correspondence: Email: zidong.wang@brunel.ac.uk. Tel.: +44-1895-266021. Fax: +44-1895-251686

Received: 26 December 2022
Accepted: 26 December 2022
Published: 27 December 2022
A Mini Review of Node Centrality Metrics in Biological Networks
Authors: Wang Mengyuan , Wang Haiying , Zheng Huiru 
Published: December 2022

Survey/review study
A Mini Review of Node Centrality Metrics in Biological Networks

Mengyuan Wang 1,2, Haiying Wang 1, and Huiru Zheng 1,*

1 School of Computing, Ulster University, Belfast, BT15 1ED, United Kingdom
2 Scotland’s Rural College, Edinburgh, EH25 9RG, United Kingdom
* Correspondence: h.zheng@ulster.ac.uk

Received: 31 October 2022
Accepted: 21 November 2022
Published: 22 December 2022

Abstract: The diversity of nodes in a complex network causes each node to have varying significance, and the important nodes often have a significant impact on the structure and function of the network. Although the interpretation of the results of biological networks must always depend on the topological study of nodes, there is presently no consensus on how to use these metrics, and most network analyses always result in a basic interpretation of a limited number of metrics. To thoroughly comprehend biological networks, it is necessary to consistently understand the notion of node centrality. Therefore, for 10 typical nodal metrics in biological networks, the study first assesses their current applications, advantages, disadvantages as well as potential applications. Then, a review of previous studies is provided, and suggestions are made correspondingly for the purpose of improving biological topology algorithms. Finally, the following recommendations are made in this study: (1) a comprehensive and accurate assessment of node centrality necessitates the use of multiple metrics, including both the target node and its surroundings, and density of maximum neighbourhood component(DMNC) can be used as a complement to other node centrality metrics; (2) different centrality metrics can be applied to identify nodes with different functions, which in this study are mapped as modular surroundings, bridging roles, and susceptibility; and (3) the following groups of node centrality can often be verified against each other, including degree and maximum neighbourhood component (MNC), eccentricity, closeness and radiality; stress and betweenness.
Recent Advances in Non-Gaussian Stochastic Systems Control Theory and Its Applications
Authors: Zhang Qichun , Zhou Yuyang 
Published: December 2022

Survey/review study
Recent Advances in Non-Gaussian Stochastic Systems Control Theory and Its Applications

Qichun Zhang 1, and Yuyang Zhou 2,*

1 Department of Computer Science, University of Bradford, Bradford BD7 1DP, United Kingdom
2 School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, United Kingdom
* Correspondence: y.zhou@napier.ac.uk

Received: 24 October 2022
Accepted: 18 November 2022
Published: 22 December 2022

Abstract: Non-Gaussian randomness widely exists in complex dynamical systems, in which the traditional mean-variance index cannot fully reflect the systematic characteristics. To improve the performance of control design subjected to non-Gaussian noises, stochastic distribution control (SDC) theory was proposed in the 1990s, where the output probability density function (PDF) has been investigated as an additional system variable. Following this framework, SDC has been extended to other research subjects in control systems such as filter design, fault diagnosis, and so on. It shows that SDC supplies an important solution to enhance the accuracy of system design, which is further beneficial to almost all the topics subject to non-Gaussian randomness. Meanwhile, the theoretical results of the SDC have been applied to several practical industrial applications. As data science raises based on the development of industrial artificial intelligence, SDC has been further developed recently focusing on data-driven design and multi-agent systems. To explore the new challenges with the evolution of SDC, e.g. unknown system models, unknown noise distributions, strong non-stationary transient dynamics, stability analysis and industrial applications, this survey summarises the most recent published results in the last 5 years of SDC work in terms of modelling, control, filtering, fault diagnosis, and industrial applications. Based on the technical analysis, potential future work is discussed in the end.
Individual-Based Modelling of Animal Brucellosis Spread with the Use of Complex Networks
Authors: Pinto E.R. , Nepomuceno E.G. , Campanharo A.S.L.O. 
Published: December 2022

Article Individual-Based Modelling of Animal Brucellosis Spread with the Use of Complex Networks E. R. Pinto 1, E. G. Nepomuceno 2,*, and A. S. L. O. Campanharo 1 1 Department of Biostatistics, Institute of Biosciences São Paulo State University, Botucatu, São Paulo 18618-970, Brazil 2 Department of Electronic Engineering and Centre for Ocean Energy Research, Maynooth University, Maynooth, Ireland * Correspondence: erivelton.nepomuceno@mu.ie Received: 12 October 2022 Accepted: 23 November 2022 Published: 22 December 2022 Abstract: The principal purpose of this work was to study the spread of brucellosis in the state of São Paulo with the help of the complex network theory and to propose control measures for its eradication. For this, the scale-free model of complex networks, widely known in the literature, was used. The effect of vaccination was verified in each of the municipalities in the state of São Paulo and it was observed that when heterogeneity is not taken into account, vaccination becomes ineffective for the eradication of the disease.
Preface: 2nd International Symposium on Communication Engineering & Computer Science (CECS 2022)
Authors: Xu Jianyu , William Pearl 
Published: December 2022

This proceeding includes original and peer-reviewed research papers from the 2nd International Symposium on Communication Engineering & Computer Science (CECS 2022), which was held on December 10-11, 2022 in Wuhan, China.
The conference is an international symposium for the presentation of technological advances and research results in the fields of communication engineering, computer science and related topics. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. We warmly welcome prospected authors submit there new research papers to this 2nd CECS, and share the valuable experiences with the scientist and scholars around the world.
CECS 2022 received 146 manuscripts. By submitting a paper to CECS 2022, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the Conference Committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. The Committees of CECS 2022 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.
Hopefully, all participants and other interested readers will benefit scientifically from the proceedings and also find it stimulating in the process.
Conference Organizing Chair
Wuhan, China
Principal and performance analysis of three typical comparators
Authors: Zhang Zuhao 
Published: December 2022

This paper discussed 3 innovative comparator topologies proposed in last several years. Depends on the target applications, each of the 3 designs achieved significant performance gains. Compared with conventional design, the comparator with self-calibrating technique has low offset voltage, small die area, low noise, and low power consumption. The comparator with regeneration operating midway realizes dramatically low operation delay with acceptable power consumption. The comparator with latch structure on amplifier stage implements circuit with high speed under low supplied voltage.
Modeling and numerical simulation of the gain of a 1310nm praseodymium-doped fiber amplifier
Authors: Chen Zhiwen , Hao Keyi , Xiao Tingting 
Published: December 2022

Optical fiber communication is of great importance in information transmission. Increasing the transmission capacity of optical fiber systems is a solution to meet the increasing demand for information, in which rare earth ion-doped fiber amplifiers play an important role. In this paper, the quasi-quadruple-energy structure of is equated and simplified to a conventional triple-energy structure to improve amplification's efficiency and significance. By exploring the influence of many factors on the praseodymium-doped fiber amplifier, the amplification band with gain window between 1250-1350nm is verified, and the amplification of the central wavelength of 1310nm is realized. It provides a theoretical reference for the subsequent application of praseodymium-doped fiber amplifiers in communication engineering, laser amplification and other fields. Since the amplification band of praseodymium-doped fiber amplifier matches the zero dispersion point of 6.652 optical fiber, it will have a huge application market in the 1310nm optical communication system.
The design modeling and numerical simulation of a Bismuth-doped glass fiber amplifier
Authors: Chen Yishan , Mei Zian , Song Zhixuan 
Published: December 2022

At present, the main communication window of fiber amplifier is in C-band ( ), and the amplification technology in O-band ( ) needs to be improved. The optical fiber amplification technology of band is studied in this paper. Based on three different Bismuth-doped glass materials, the design modeling and numerical simulation are carried out, and the corresponding amplification bands are , and . The rate equation and transmission equation of the three-level transition model in steady state were established. The gain, the power of pump, the power of signal and ASE signal power of the three bands were simulated by MATLAB, and the material with the best performance was further analyzed. The results show that signal light has the best amplification effect, and the maximum gain is when the fiber length is . It is also found that the optical fiber length required to achieve the optical signal optical gain with the pump power is positive correlation, and with the doping concentration is negative correlation, which are complementary to each other. This conclusion has important significance for the design of bismuth-doped optical fiber amplifier.
Spectral Analysis and Gain Modeling and Numerical Simulation of Bismuth-doped Fiber Amplifier
Authors: Li Kangduo , Wang Zihao , Zhu Zhiyu 
Published: December 2022

Fiber optic amplifier is an important component of fiber optic communication and the use of the properties of rare earth ions to dope the fiber core is an important way to obtain greater amplification and reduce loss. Because of the unique light-emitting properties of Bismuth ions, the Bismuth doped fiber amplifier (PDFA) has a wide range of applications in the field of fiber amplifier. This paper focuses on the spectral analysis of Bismuth-doped ( ) fiber amplifiers under different parameters by referring to the absorption spectrum of . And the energy level structure of was selected for a wide range of amplification windows → pumping scheme corresponding to the pumping wavelength of 950 nm, and the rate propagation equation and power transmission equation were established based on the previous work. The numerical simulations were also carried out by MATLAB programming. The effects of doping concentration, fiber length, and pump power on gain, noise index, and output power were analyzed and summarized by MATLAB plotting. In the future, researchers can use neural network algorithms to obtain the combination of Bismuth-doped fiber amplifier parameters that will achieve maximum gain, thus enabling advances in information transmission rates and distances in real-world communications.
Gain Modeling and Numerical Simulation of Fiber Amplifier
Authors: Huang Yuzhi , Wang Tianyi 
Published: December 2022

As optical communication technology has been developing fast these years, its application in S-band has been valued by people, especially in the field of WDM/DWDM. The energy structure-e in Tm3+exist the transition which can meet the S-band and S+-band. Although the energy structure of ions are very complex, the fiber amplifier is an important device for the S+-band optical amplification. And its research will be very significant for further broadening the optical communication bandwidth. Fiber amplifiers have become a new hot spot for optical fiber communication devices. This paper mainly do analysis, simulation and comparison about the semiconductor laser mufti-core pigtail outputting light field intensity, as well as the outputting light field intensity distribution of LD mufti-core pigtail single-lens and dual-lens coupled. This paper analyzes fiber amplifier performance based on the rate equation, transfer equation and simulations.
Based on 5G network, use the unmanned aerial vehicles to live stream in VR
Authors: Shen Ruining 
Published: December 2022

5G network has begun to step into people’s horizons. The character of high transmitting speed and low latency can enable some applications to do better in their fields. This article focuses on the new application of the UAV (unmanned aerial vehicles) based on the 5G network. Live streaming is a new entertaining way that is popular worldwide. In this article, the theoretical analysis of the 5G network and VR shows the development of mobile communication technology, the essential features of 5G network, which demonstrate the advantage of 5G, and the Internet requirement of VR. To reduce network bandwidth demand, a different view information transmission can distribute the transmission data of the side angle of view into the in front version. A Popularity Balance Method(PB) for UAVs in the same area layer) method based on the division of the entire search area into multiple area layers to change the pattern of message delivery to the area layer closer to the destination node. Advanced wireless systems (AWS) can make safe, effective operations. Suggestions about using Content Delivery Network (CDN) to solve the live stream problems are also given.
Measuring road safety advance by IW-EDAS-KNN: A case study for OAS countries
Authors: Yang Jiale 
Published: December 2022

Road Safety is an important aspect when considering the public health of a nation. Road Safety is becoming an increasing concern among nations, and road safety hazards remained a huge problem in some nations, causing financial loss and fatalities. Estimated results demonstrates that road traffic injuries cost the government approximately 3% of GDP, and up to 5% in low- and middle-income countries [1]. Since the road traffic incidence created substantial financial burden, it is necessary to control risk factors and improve the road safety advance. By evaluating the road safety conditions of each individual states, or by comparing the road safety status of a group of states, we can identify the potential strengths and weaknesses of each state hence give suggestions for future improvements. This paper looks at a ten-year data (2009-2019), source from the World Health Organization, the Pan American Health Organization, and the Traffic Safety Data and Analysis Group. The aim of this research is to evaluate and benchmark the road safety conditions of the members states of the Organization of American States by applying Evaluation Based on Distance from Average Solution, a Multi-Criteria Decision-Making (MCDM) technique for classification; identify the continuity in development and advancement of road safety conditions for each state; group the member states of OAS into classes by applying K-Nearest Neighbor Analysis, an algorithm for classification and regression that group objects into classes based on its k nearest neighbors; and make suggestion for future improvements for each member states with respect to their group members. It is concluded that certain indicators are underperformed by a majority of OAS members, which allowed policymakers to identify the potential weakness in road safety performance and offer effective intervention. Additionally, suggestions are made for under-performing countries of the OAS to refer to the road safety procedure from the best-performing nations for future road safety advances.