bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Hg Content Migration Process II. Yang Dongfang Migration Model Application
Authors: Yang Dongfang , Zhang Longlei , Wang Qi , Lin Dong , Li Haixia 
Published: December 2020

Abstract
Based on the investigation data of Jiaozhou Bay in May, August and October, 1992, the migration process of Hg content that came from atmospheric subsidence in Jiaozhou Bay was studied. In August, the central point 2016 in the east of Jiaozhou Bay was taken as the source of atmospheric subsidence, with the Hg content of 0.050 μg/L. According to the absolutely and relatively horizontal loss rate model of matter content, the results showed the facts: A series of concentric circles with different gradients have been formed with station 2016 as the center. Taking the central station 2016 in the east of Jiaozhou Bay as the source of atmospheric subsidence, the Hg content decreased towards surrounding waters. The absolutely horizontal loss rate value of Hg content was between 0.19-0.63 Yang Dongfang absolute number, and the relatively horizontal loss rate value of Hg content was between 3.80-12.60 Yang Dongfang relative number. The sequence of Hg content from low to high was : the central water area of the bay < the northeast water area of the bay < the southeast water area of the bay < the northwest water area of the bay, and the sequence of Hg content absolutely horizontal(relatively) loss rate value from low to high was : the northwest water area of the bay < the central water area of the bay < the northeast water area of the bay < the southeast water area of the bay. The Hg content showed the starting point value of the source point, the end point value of the water area. And the absolutely(relatively) horizontal loss rate value of the Hg content showed the migration process value of the water area from the starting point to the end point. This revealed that the starting point, end point and process value of Hg content showed the migration process of Hg content in water. According to the Yang Dongfang horizontal loss rate model of substance content, the migration and change process of Hg content decreasing along the gradients to surrounding waters could be calculated and quantified.
Preparation and characterization of CdZnTe particle detectors
Authors: Bao Lei , Zha Gangqiang , Li Jian , Jie Wanqi 
Published: December 2020

Abstract
CdZnTe detectors, as the most widely used X/γ ray detector in room temperature, has the advantages of high sensitivity, low noise, short pulse time and high detection efficiency. As the radiation category encountered in space environment is complex, research on the charged particle detection and particle discrimination capability of CdZnTe detector is conductive to expanding its application and providing solutions for special application scenarios in the space field. Therefore, this work mainly focused on the preparation of high resolution CdZnTe charge particle detectors. The main factors affecting charge particle detection resolution during the preparation of CdZnTe detectors were analyzed. The alpha/beta particle discrimination capability was verified using 241Am and 90Sr-90Y radiation sources. Alpha particles and beta particles can be distinguished through the rise time of the pulse waveform according to the different incident depth in CdZnTe detectors.
A comparative study on the detection of tension clamp DR and phased array for transmission line
Authors: Li Hang , Xie Liming , Wang Xu , Gong Wei Wei 
Published: December 2020

Abstract
In this paper, the tension clamp of high-voltage overhead transmission line is taken as the research object, and the stress analysis is carried out by using ANSYS finite element software, and the stress distribution state of tension clamp of in-service transmission line is obtained. At the same time, the tension clamp samples with different types of defects are made, and the ultrasonic phased array and X-ray digital imaging dead-end clamp crimping quality detection are carried out respectively. According to the detection results, the different characteristics and advantages of the two detection methods are compared and analyzed, which provides a scientific basis for the accurate detection and evaluation of the dead-end clamp crimping quality of transmission lines.
Calculation and Analysis of Transient E-Field Distribution of 110kV Dry Type Transformer Under Lightning Impulse
Authors: Zhou Junfeng , Wang Shuo , Peng Chong , Wang Ning , Wang Kang , Zhu Tiantong 
Published: December 2020

Abstract
The 110kV dry type epoxy casting transformer had the characteristics of high voltage grade, great difficulty and uncertainty in research. Especially in the field strength control under lightning impulse, higher requirements were put forward for its insulation structure design. In this paper, an equivalent circuit model was built based on the heap winding structure, and the voltage distribution of winding nodes under lightning impulse was calculated. According to the actual drawing, a two-dimensional transformer model was established, and the E-field distribution of transformer under lightning impulse was obtained by simulation. The results showed that the maximum field strength at sampling point 1 was 4.1kV/mm, appearing around 65μs and 157μs. From the simulation results, the insulation performance of the pile winding did not meet the safety requirements. The research results in this paper could provide an important basis for the design of 110kV dry type transformer and technical support for the product development and safe operation of large capacity dry type transformer.
Study on the Application of MNSs/PLGA Nanocomposites in Biomedicine
Authors: He Wen , Ma Yefei , Zhang Yaoqi , Dai Xia , Song Jibing 
Published: December 2020

Abstract
The ways and effects of metal-based nanostructure (MNSs) to improve the physical or biomedical properties of PLGA polymers were studied. Firstly, the preparation methods of MNSs/PLGA nanocomposites are introduced, including solvent method, non-solvent method, MNSs direct modification method and single emulsion-solvent evaporation method. Then the applications of MNSs/PLGA nanocomposites in biomedical fields such as drug delivery, biological imaging and tissue regeneration are reviewed. Finally, the potential advantages and development trends of MNSs/PLGA nanocomposites in the treatment of diseases were analyzed on the basis of in vitro / vivo studies.
Therapeutic strategies of iron-based nanomaterials for cancer therapy
Authors: Wu Xiaqing , Zhang Haiyuan 
Published: December 2020

Abstract
Iron-based nanomaterials have appeared in various cancer treatments owing to their promising functions and safety. Various sophisticated iron-based nanomaterials have been designed to exhibit great therapeutic effects through different strategies. Given the rapid progression, there is a great need to integrate the recent advances to learn about the latest innovation in this field. In this review, we classified the strategies of iron-based nanomaterials for cancer treatment into the following categories: immunotherapy, ferroptosis, magnetic hyperthermia and magneto-mechanical destruction. On the one hand, we discussed the underlining mechanism of iron-based nanomaterials in these therapies and applications; on the other hand, we analyzed the feasible combination of these applications and other therapies. Finally, the current challenges and expectation of iron-based nanomaterials in this field were highlighted.
Climate impacts associated with reduced diet diversity in children across nineteen countries
Authors: Niles Meredith T , Emery Benjamin F , Wiltshire Serge , Brown Molly E , Fisher Brendan , Ricketts Taylor H 
Published: December 2020

Abstract
It is widely anticipated that climate change will negatively affect both food security and diet diversity. Diet diversity is especially critical for children as it correlates with macro and micronutrient intake important for child development. Despite these anticipated links, little empirical evidence has demonstrated a relationship between diet diversity and climate change, especially across large datasets spanning multiple global regions and with more recent climate data. Here we use survey data from 19 countries and more than 107 000 children, coupled with 30 years of precipitation and temperature data, to explore the relationship of climate to child diet diversity while controlling for other agroecological, geographic, and socioeconomic factors. We find that higher long-term temperatures are associated with decreases in overall child diet diversity, while higher rainfall in the previous year, compared to the long-term average rainfall, is associated with greater diet diversity. Examining six regions (Asia, Central America, North Africa, South America, Southeast Africa, and West Africa) individually, we find that five have significant reductions in diet diversity associated with higher temperatures while three have significant increases in diet diversity associated with higher precipitation. In West Africa, increasing rainfall appears to counterbalance the effect of rising temperature impacts on diet diversity. In some regions, the statistical effect of climate on diet diversity is comparable to, or greater than, other common development efforts including those focused on education, improved water and toilets, and poverty reduction. These results suggest that warming temperatures and increasing rainfall variability could have profound short- and long-term impacts on child diet diversity, potentially undermining widespread development interventions aimed at improving food security.
Systematical Analysis of Alpha-active Nuclides
Authors: Munkhsaikhan J , Odsuren M , Khuukhenkhuu G 
Published: December 2020

Abstract
The systematical analysis of alpha-active nuclides is useful for both the nuclear technology applications and understanding of nuclear structure study. Geiger-Nuttall law, which describes a dependence of the disintegration constant on the range of α-particles, was deduced from the Gamow theory explaining the passage of the α-particles through the Coulomb barrier by the quantum mechanical tunneling effect. Ground-to-ground state α-transitions for natural and artificial α-active nuclides were analyzed utilizing the Geiger-Nuttall rule. From rough analysis five group-like branches on the dependence of α-decay half- lives on α-particle energy were observed. Detailed analysis shows that precise linear dependences of the logarithm of α-decay half-lives on the reciprocal of square root of the α- particle energy for even-even isotopes of the U, Pu and Cm there are. However, for some even-even isotopes of the Po, Ra and Th regular behaviour of mass numbers was broken. This non-regularity of the mass numbers on the Geiger-Nuttall line is explained by the nuclear shell model.
On the activation energy of the glass transition process
Authors: Sanditov D S , Mashanov A A , Badmaev S S 
Published: December 2020

Abstract
Calculation of the temperature dependence of the activation energy of the glass transition process U(T) of amorphous organic polymers and inorganic glasses with the use of the Williams-Landel-Ferry equation for the relaxation time (viscosity) is proposed. The estimates made are in satisfactory agreement with experiment. The nature of the U(T) dependence is discussed.
T-x-y-z Diagram Prediction for the Quaternary System Li,Na,Ca,La||F
Authors: Vorob’eva V , Zelenaya A , Lutsyk V , Lamueva M 
Published: December 2020

AbstractThe prediction of the geometric structure of the LiF-NaF-CaF2-LaF3quaternary system T-x-y-z diagram has been carried out on the basis the data about the binary systems and the 3D computer models of the T-x-y diagrams of boundary ternary systems, designed earlier; and its prototype has been constructed. Correctness of the prediction may be confirmed (or rejected) by the experiments only.
A Brief Analysis of Collaborative and Content Based Filtering Algorithms used in Recommender Systems
Authors: Nallamala Sri Hari , Bajjuri Usha Rani , Anandarao Sarvani , Prasad Dr. D. Durga , Mishra Dr. Pragnaban 
Published: December 2020

Abstract
In the modern age and many prestigious applications use the recommendation method to play an important role. The system of recommendations collected apps, built a global village and provided enough information for development. This paper presents an overview of the approaches and techniques produced in the recommendation framework for collaborative filtering. Collaborative filtering, material and hybrid methods were the method of recommendation. In producing personalised recommendation the technique of collaborative filtering is particularly effective. There have been several algorithms over ten years of study, but no distinctions have been made between the various strategies. Indeed, there is not yet a widely agreed way to test a collaborative filtering algorithm. In this work we compare various literature techniques and review each one’s characteristics to emphasise their key strengths and weaknesses.
A Systematic Review on Anomaly Based Intrusion Detection System
Authors: Ganeshan R , kolli Chandra sekhar , kumar Ch. Mohan , Daniya T 
Published: December 2020

Abstract
The Intrusion Detection System can monitor and investigate the harmful actions on a network and take necessary action to halt the external data. If the external request arrives, the IDS technique notifies the user about the intruders and thereby, allows the user to disconnect the IP network connection and reset the network connection from any interrupt. Hence, various anomaly based IDSs used for providing cyber security are reviewed in this paper. Accordingly, various research papers based on anomaly detection are reviewed by providing a classification based on several aspects, and are analyzed regarding various factors, such as datasets utilized, accuracy obtained, evaluation metrics, and implementation tools. From the analysis, it is observed that majority of the papers reviewed have employed MATLAB as the implementation tool.
Security Analysis on Remote Authentication against Man-in-the-Middle Attack on Secure Socket Layer
Authors: Rama Devi O. , Parvathi Vallabhaneni S , Hussain Mohammed Ali , Kumar Tulisetti Kranthi 
Published: December 2020

Abstract
One of the biggest SSL assaults is Man-In-The-Middle. ARP poisoning and phishing are some of the principal attacks against SSL. Phishing offends the user by using false certificates or fake websites to steal certificate information. As for ARP poisoning, the attacker may act as a representative on the client/server communication channel. The MITM attack makes it difficult for users to know if they have linked to an original secured link or not. Since the certificate issued during the connection setup is not secure, an intruder can alter the details in the certificate and grant user authorization. Because a number of cliens have not been well trained above the whereabouts and their attacks, they can recognize the certificates that allow attackers to perform the attack. They can also acknowledge the attack. Two techniques have been suggested in order to cope with such assaults: first for ARP poisoning and secondly for phishing.
Heterogeneous inter-Clue designing of POI Popularity Analysis with discrepancy Tourism Data
Authors: Akarapu Mahesh , Sunil G. , Donthamala Koteshwar Rao , Mrutyunjaya M , Praveen D. 
Published: December 2020

Abstract
The prevalence of Predicting Point of Interest (POI) has been extremely important to location-based applications, such as reviews on POIs. Many current approaches are rarely able to achieve adequate efficiency due to the shortage of POI knowledge. This tendentious restricts the advice to famous locations and lacks equally important qualities in unlikely attractions. This paper introduces a novel method to forecasting the performance of POIs, dubbed Hierarchical Multi-Clue Fusion (HMCF). In general, to address sparsity issues, it is proposed that POIs be defined in a simple way usage different method of User-Generated Content (UGC) By different origin. And there is construct a hierarchically powerful POI modeling framework that concurrently injects semantonal Awareness and multiple layer representation regulation of POIs. Users are building a multi-view POI database for assessment by compiling both text and visual information from four conventional tourism channels from many separate provinces in China during 2006 to 2017. Extensive experimental findings indicate that the new technique will substantially improve the output of forecasting the success of attractions relative to a variety of reference methodologies.
A Redesigning Software Procedure in Improved Software Management using Machine Learning
Authors: Nethravathi R. , Kumar S. Naresh , Shwetha S. , Shyamsunder M , Reddy Ch Vinay Kumar 
Published: December 2020

Abstract
SPR is a software engineering process that improves organizational efficiency in responding to quality outcome challenges, change management and productivity improvement, product quality and competitive advantage. To include improvements to the required considerations and agreements of SEM, SPR, implements, inherits and explores the architecture of procedure change. Machine learning is a key part of SPR in software development organizations. The objective of this paper is to integrate automation technology such as ML into the SDLC of software product development and to increase the conceptual focus on its life cycle development and highlight ML methods in SPM, and how to execute ML in SEM methods. ML algorithms for empirical analysis and discussion of the specific performance and reuse of tasks that we have attempted to achieve in SEM. An observed study of software methods involves the control system of self determining software implementation. In the current period, ML gives better validity in few SEM areas. The main aim of this research is the practical as well as systematic study and also literature survey to advance the wanted standard software, between their qualified evaluation of existing procedures and their carry for SQE.
Scrum: An Effective Software Development Agile Tool
Authors: Hema Valpadasu , Thota Sravanthi , Naresh Kumar S , Padmaja Ch , Rama Krishna C. Bala , Mahender K 
Published: December 2020

Abstract
Present days the world is surviving with respect to the software products. The development of the software product is a challenging issue and to run with the competitive world rapid development of software products are necessary. It is not enough to go with the traditional software development products like waterfall model, spiral model and all. Here we proposed the SCRUM TOOL, one of the effective techniques of Agile Methodology. Agile is an incremental and timeframe iterative approach. It supplies the software developers with a working framework for traditional software development practices like waterfall model. Although the traditional models are best suited for small products where there is no changing requirements but not suitable for the products which have rapidly changing requirements and thus here we recommend SCRUM methodology. In this approach we can develop the software product by taking the regular feedback from the customer through review meetings. So whenever the customer requests the changes we can upgrade the product with respect to those changes and can also develop the product more efficiently and rapidly.
Cyber Security Challenges and its Emerging Trends on Latest Technologies
Authors: Rajasekharaiah K. M , Dule Chhaya S , Sudarshan E 
Published: December 2020

Abstract
Today, due to the modern life style people have joined technology life and using more technology for shopping as well as financial transactions in their cyber space. At the same time, safeguarding of knowledge has become increasingly difficult. In addition, the heavy use and growth of social media, online crime or cybercrime has increased. In the world of information technology, data security plays a significant role. The information security has become one of today’s main challenges. Whenever we think of cyber security, we first of all think of ‘cybercrimes,’ which expand tremendously every day. Different government and businesses take various steps to avoid this form of cybercrime. In addition to numerous cyber protection initiatives, many people are also very worried about it. This paper focuses primarily on cyber security concerns related to the new technology. It also concentrates on the new technologies for cyber security, ethics and developments that impact cyber security.
Smart Instant Charging of Power Banks
Authors: Sunanda N , Hrushikesava Raju S. , Faiayaz Waris Saiyed , Koulagaji Ashok 
Published: December 2020

Abstract
Nowadays, charging portable devices like mobile devices through power banks is very common and is required. In this paper, the drawbacks of existing power banks are discussed and are required to upgrade with novel and reliable technology. The mobile devices need to be recharged whenever its charging is completed, that’s why power banks came into the market to recharge portable devices such as mobile devices. As the load increases, the charging will be degraded and needs to be charged. The charging phenomenon that existing power banks use is time-consuming. The factor time plays an important role in modern days because many activities need to be done at that time. The scheduled activities to be disturbed because of the lack of charging while involved in traveling for long hours and the days. When there is a technology added in the power banks where the portable devices are charged instantly by scanning the power bank charged code using recipient mobile (Portable device). The charging of the portable device is done in nanoseconds. This greatly reduces the amount of time spent on charging over portable devices using existing power banks. Functionality and performance are demonstrated in the proposed and results chapter. In this, the amount of charging is also to be customized so that the leftover charging in the power bank to be used for charging the other portable device.