bluuebunny/crossref_metadata_2025 huggingface dataset:
Restrictive Practices in Adult Secure Mental Health Services: A Scoping Review
Authors: Lawrence Daniel , Bagshaw Ruth , Stubbings Daniel , Watt Andrew
Published: February 2021

Restrictive practices are often harmful and many academics, policy-makers and clinicians agree that their use should be reduced in care settings. Specific focus on secure mental health services is warranted because restrictive practices are often seen as an integral part of forensic psychiatry but have received limited research attention relative to other areas of psychiatric practice. The aim of this scoping review was to map and evaluate recent empirical research that examines the use of restrictive practices, the consequences of using them and efforts to reduce restrictive practices, in secure mental health settings published since June 2015. The purpose of this review was to identify limitations and gaps in the literature in order to inform further research. PsycINFO, Medline, Embase, CINAHL, Scopus and ASSIA databases were searched for studies published between 2015 and 2020. Following electronic and manual searches, 36 studies were included. The studies were grouped into four main areas: 1) Nature of the problem describing the type, incidence, prevalence and scope of restrictive practices in secure mental health services; 2) Service user perceptions and experiences of restrictive practices; 3) Staff experiences, views and decision making; and 4) Interventions designed to reduce the use of restrictive practices. Findings support the notion that restrictive practices have a detrimental impact on the wellbeing of most service users in adult secure services as well as the staff who use them. Continued efforts to reduce restrictive practices are needed and the importance of collaborative working cannot be understated. Implications for future research, clinical practice, policy and best practice guidelines are all discussed.
Microtubule nucleation without a ring?
Authors: Merdes Andreas
Published: February 2021

The native γ-tubulin ring complex is an asymmetric, imperfect template for microtubule nucleation. Wieczorek et al. (2021. J. Cell Biol.https://doi.org/10.1083/jcb.202009146) and Zimmermann et al. (2020. Sci. Adv.https://doi.org/10.1126/sciadv.abe0894) have reconstituted a recombinant complex that allows study of structure–function relationships and regulatory mechanisms.
Q-cubed mutant cues clues to CLC antiport mechanism
Authors: Miller Chris
Published: February 2021

A new structure of a CLC antiporter mutant, along with EPR spectroscopy and computational dynamics, now resolves several basic puzzles regarding how these transporters stoichiometrically move Cl− and H+ in opposite directions across biological membranes.
Radiative MHD bioconvective nanofluid flow due to gyrotactic microorganisms using Atangana–Baleanu Caputo fractional derivative
Authors: Arafa Anas A M , Rashed Z Z , Ahmed Sameh E
Published: February 2021

In this paper, the Atangana–Baleanu Caputo (ABC) sense is applied on the unsteady MHD bioconvection nanofluid boundary layer flow due to gyrotactic microorganisms. The effects of joule heating, convective boundary conditions and thermal radiation, and were studied. Also, it is focused on the Buongiorno’s nanofluid model and two cases of the nanoparticles boundary conditions are assumed, namely, passive control and active control. The solution methodology is starting by an approximation of the time fractional derivatives using ABC and the finite differences method (FDM) of Crank-Nicolson type is applied for the first and second derivatives. The main outcomes revealed that using ABC definitions gives a good approximation of the time fractional derivatives comparing with classical Caputo approximation. Also, values of the velocity and temperature in case of the passive control are higher than those of the active control indicating more physical realistic in this case. Furthermore, there is an enhancement in values of the local Nusselt number up to 0.2% when order of the fractional derivatives is varied from 0.8 to 1. The work finds applications in heat transfer enhancement in bio-inspired nanoparticle-doped fuel cells.
Unusually diverse surface-wettability features found in the wings of butterflies across Lepidoptera order and evaluation of generic and vertical gibbosity-based models
Authors: Aideo Swati N , Mohanta Dambarudhar
Published: February 2021

The present work reports on the model evaluation and validation of surface roughness-mediated wettability characteristics of three different butterflies belonging to the Lepidoptera order. They are, namely, White admiral (WA, Limenitis camilla), Large white (LW, Pieris brassicae), and Dark blue tiger (DBT, Tirumala septentrionis). The unique microstructural assembly of scales along with the built-in ridges and cross-ribs were believed to be largely responsible for displaying remarkable surface texture and consequently, dewetting features while static contact angle (CA) varying in the range 100°–124°. Models based on the scale dimensions, interscale separations along with regular triangular protuberances (vertical gibbosities) predict roughness factors within 1.1–1.7, while CA hysteresis tending to vary in the range 17.5°–45.7°. The DBT wing part exhibited the highest CA and minimal surface adhesion feature, as the droplet was seen to roll off the surface when the base was tilted with the horizontal plane, above 50°. Moreover, the WA wing surface wettability obeys closely the Cassie-Wenzel model, while the DBT wing part is in conformity with the Wenzel-Cassie and Vertical-Gibbsoity based models. The significance of the wettability features and coloration aspects of the natural systems is expected to deliberate scopes for generating and mimicking designs through artificial means with intended relevance in soft-matter, bionics, and interface engineering fields along with fundamental interest for evolutionary reasons.
Quantum correlation swapping between Werner and separable states
Authors: Xie Chuanmei , Zhang Zhanjun , Chen Jianlan , Yin Xiaofeng
Published: February 2021

In this paper we study quantum correlation (QC) swapping between two different kinds of quantum-correlated states. To be concrete, one is the famous Werner state while another is a kind of separable state. We employ measurement-induced disturbance (Luo 2008 Phys. Rev. A 77 02230) as the quantifier to characterize and quantify QC. We work out QCs in all the concerned states and concretely analyze their behaviors and properties such monotony features and thresholds. We find that a long-distance shared QC can be generated from two short-distance ones via intermediate measure. Moreover, the amount of the long-distance shared QC cannot reach that in the Werner state but that in the separable state.
Spin order and entropy in antiferromagnetic films subjected to magnetic fields
Authors: Hofmann Christoph P
Published: February 2021

Using systematic effective field theory, we explore the properties of antiferromagnetic films subjected to magnetic and staggered fields that are either mutually aligned or mutually orthogonal. We provide low-temperature series for the entropy density in either case up to two-loop order. Invoking staggered, uniform and sublattice magnetizations of the bipartite antiferromagnet, we investigate the subtle order–disorder phenomena in the spin arrangement, induced by temperature, magnetic and staggered fields—some of which are quite counterintuitive. In the figures we focus on the spin-

1

2

square-lattice antiferromagnet, but our results are valid for any other bipartite two-dimensional lattice.
e-open Sets in Nnc
-Topological Spaces
Authors: Vadivel A. , Thangaraja P.
Published: February 2021

As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been created by Smarandache to represent imprecise, incomplete and inconsistent information existing in the real world. A neutrosophic set is characterized by a truth value, an indeterminacy value and a falsity value. In this paper, we introduce and study a new class of N neutrosophic closed set, namely N neutrosophic e-closed and N neutrosophic e-open sets in neutrosophic topological spaces. Also we study N neutrosophic e-interior, N neutrosophic e-closure and their properties are discussed.
Completely Nnce (Weakly Nnce)-irresolute Functions via Nnce-open Sets
Authors: Vadivel A. , Navuluri Mohanarao , Thangaraja P.
Published: February 2021

The main purpose of this paper is to introduce two new types of Nnc
irresolute functions called completely Nnce-irresolute and completely weakly Nnce-irresolute functions via Nnc
e-open sets introduced by Ekici. We obtain some characterizations of these functions. Also, we investigate some fundamental properties between these new notions are separation and covering.
Characterizations of Almost Strongly Nnc θ e-continuous Functions
Authors: Vadivel A. , Sudha V. , Tamilselvan S.
Published: February 2021

In this paper several characterizations concerning almost strongly Nncθe-continuous functions are obtained. Also we investigate the relationships between almost strongly Nncθe-continuous functions and separation axioms and almost strongly Nnce-closedness of graphs of functions.
Fixed Point Theorems Concerning Hausdorff F-PGA Contraction in Complete Metric Space
Authors: Powar Pournima L. , Pathak Akhilesh K. , Mishra Lakshmi Narayan , Tiwari Rishabh , Kushwaha Ramratan
Published: February 2021

Harandi Amini-Harandi [2012], in 2012 established the existence of a fixed point by using the concept of set-valued contraction. In the present paper, authors have generalized this concept by considering Hausdorff F-PGA contraction and assured the existence of a fixed point. Hence, it is interesting to note that in a complete Hausdorff metric space, the fixed point exists with a lighter contraction map.
Nnc Z-open Sets and Continuity in Nnc
Topological Spaces
Authors: Vadivel A. , Moogambigai N. , Tamilselvan S.
Published: February 2021

The aim of this paper is to introduce and study the notion of NncZ-open sets and NncZ-continuity. Some characterizations of these notions are presented. Also, some topological operations such as: NncZ-boundary, NncZ-exterior, NncZ-limit etc, are introduced.
Common Fixed Points of Almost Generalized (ψ, φ)–Quasi Rational Contraction in Ordered Metric Spaces
Authors: Uma Maheswari J. , Ravichandran M.
Published: February 2021

In this paper, we introduce and study the notion of common fixed points for pair of mappings in quasi metric space and demonstrate the existence and uniqueness of the common fixed points of almost generalized (ψ, φ)–quasi rational condition in ordered metric spaces. An application and example of our obtained result is given.
Learning Mathematics in Madrasah Aliyah Muhammadiyah 2 Banjarmasin during the covid-19 pandemic era
Authors: Suliani M , Juniati D , Ulfah F
Published: February 2021

In 2020, the world is being plagued by the Covid-19 epidemic, Indonesians are required to follow health protocols established by the central government and WHO. One of the protocols for the world of education is not held face-to-face teaching to avoid more transmission. Instead, learning is done through online media and students learn from their homes. The purpose of this article was to describe the learning of mathematics that took place at Madrasah Aliyah Muhammadiyah 2 Banjarmasin during the Covid-19 pandemic era, difficulties experienced by teachers and how to overcome them and their impact on student learning outcomes. The research method used was quantitative and qualitative where data is taken from students’ scores before and during the co-19 pandemic as well as questionnaires and interviews with mathematics teachers. To see differences in student learning outcomes before and when a pandemic, the statistical test (t-test) was used. The results obtained were the teacher used several learning methods with several different software, including using Quizizz for interactive quizzes to reduce student boredom in online learning. Student learning outcomes had improved, this was because when students took exams from home students did not experience anxiety because they were not supervised directly by the exam supervisor, also before the exam was carried out students had been guided by parents and students also learnt independently through online media to get information added. In addition, it was also described the difficulties experienced by teachers during carrying out online learning as well as the ways to overcome them along with the results obtained.
A commognitive Study on Field-dependent students’ Understanding of Derivative
Authors: Lefrida R , Siswono T Y E , Lukito A
Published: February 2021

Cognitive style is a characteristic of students which influences in understanding material learning. The research objectives to explore the student ability to understand the derivatives seen from the commognition perspective. Commognition is defined as a combination of communication and cognition that considers learning as the individualization of patterned collective activities. Moreover, every communication that conducted is called discourse. Keywords, visual mediators, endorsed narrative, and routines are characteristics of mathematical discourse. This descriptive study divided into two groups of students, namely field-independent and field-dependent. This paper only focused on field-dependent students. The data collection was carried out by task-based observation in understanding derivatives using the Focus Group Discussion technique. The steps performed to conduct the data analysis include condensation of data, display of data, and drawing of conclusion and verification. The results showed that the commognitive aspects of students with a dependent-field cognitive style such as keyword, visual mediators, endorsed narrative, and routines appear in each category. However, the scaffolding should be provided by the researcher to obtain the responses from the students.
An APOS analysis of student’s understanding of quadratic function graph
Authors: Listiawati E , Juniati D
Published: February 2021

The purpose of this study is to describe students’ understanding of the graph of quadratic functions. In this study, APOS theory (Action, Process, Object and Schema) used as a theoretical framework. The subjects of this study were two students at a college of education, one male and one female who had equal mathematics abilities. Data collection techniques were written tests and semi-structured interviews. The data generated were analyzed through the stages of data reduction, data presentation and conclusion. The results showed that at action of male subjects drawing graphs directly in the Cartesian plane and uses the general form of quadratic functions while female subject makes a table of points to make graphs and used the general form. At process, male subject enters several numbers to the equation then connects the points but female determines the intersection points with the coordinate axis, looks for other points, looks at the direction of the graph then draws the graph. At object, male subjects make a graph by shifting the top of the other graph, while female determine the function formula by adding constants from the original graph. In this study the two subjects were not yet at the stage of the scheme.
The implementation of Argument Driven Inquiry (ADI) learning model to improve scientific argumentation skills of high school students
Authors: Admoko S , Hanifah N , Suprapto N , Hariyono E , Madlazim M
Published: February 2021

This study aims to describe the implementation of the ADI learning model on physics learning of Newton’s laws, the skills of scientific argumentation of students after learning, and the patterns of scientific argumentation students. This research method used explanatory sequential mixed method design. Data collection methods used in this study were tests, documentation and observation. This research was conducted in Surabaya, East Java, Indonesia. Eighty-five of ten grade students on three classes and one teacher participated in this study. This study applied a scientific argumentation level framework developed by Erduran to determine the level of scientific argumentation skills that can be achieved by students. The results showed that ADI learning model was carried out very well for 3 classes with an average percentage of feasibility for Science Classes 1, 2, and 3 as a whole involving 86.67%, 87.08%, and 88.75%. Scientific arguments of students show a significant increase, with a significance of n-gain values obtained in the medium category. The pattern of changes in the skills of scientific argumentation of students from levels 1 and 2 in the pre-test increased to levels 3 and 4 in the post-test. The reason for the skills of scientific argumentation of students is in accordance with the scientific argumentation skills verbally. Based on these results it can be concluded that the application of the ADI learning model improve scientific argumentation skills of students.
Detection of Tuberculosis based on Deep Learning based methods
Authors: Puttagunta Murali Krishna , Ravi S.
Published: February 2021

Pulmonary Tuberculosis (TB) one of the transmissible diseases, which is one of the top ten causes of death worldwide. The need to strengthen the treatment and screening in TB affected countries. In this paper, a systematic review is carried on deep learning-based computer-aided diagnostic (CAD) systems that are used to analyze chest X-rays for diagnosing pulmonary tuberculosis (TB). Deep learning has recently become one of the most successful techniques, particularly in the analysis of medical images. In Deep learning Convolutional Neural Networks (CNNs) are widely used for TB detection. A CNN model is commonly comprised of convolutional layers, sub-sampling / pooling layers, and fully connected layers. This paper also presents a comprehensive survey on the CNN models for the detection of TB. The progression of computer-aided diagnostic (CAD) systems has sped up the early diagnosis of TB.
Detour homometric number of a graph
Authors: Mohankumar Elakkiya , Abhishek Kumar
Published: February 2021

The distance d(x,y) is the length of the shortest path between a pair of vertices x, y ∊ V(G) of a connected graph G = (V, E). Whereas the detour distance D(x, y) is the length of the longest path between x and y in G. Given a subset S ⊆ V(G) the set d(S) is the multiset of pairwise distances between the vertices of S. Furthermore, D(S) is the multiset of pairwise detour distances between the vertices of S. Two subsets of the vertex set of a graph G are said to be homometric if their distance multisets are same. The largest integer h such that there are two disjoint homometric sets of order h in G is the homometric number of G denoted by h(G). In this article, we extend the notion of the homometric number of a graph to detour the homometric number of a graph as follows: two subsets of the vertex set of a graph G is detour homometric if the multisets D(S) of detour distances determined by them are same. Detour homometric number h

D
(G) of a graph G is the largest integer h

D
such that there are two disjoint detour homometric sets of order h

D
in G. In this article, we explore the notion of detour homometric sets for graphs containing at least on cycle and also propose a potential application of detour homometric sets for automated vehicles.
Prediction of gold price with ARIMA and SVM
Authors: Makala D , Li Z
Published: February 2021

Gold has become more popular as well as very useful commodity in terms of investment. Gold has been used as a national reserve for many years, and that makes it very crucial in the economics of any country. Most of the investors running to gold as a safe area from uncertainty and political chaos. Determining of the price movement of gold helps the investors in focus in their investments, government to make correct decision about economy since Gold price is a key element is world economy. For the purpose of predicting the price of gold, this article research uses ARIMA and SVM model in prediction. The study uses the daily data from world Gold Council from 1979 to 2019 in analysis. The data up to 2014 are used for the training of the models and the rest are used validation. The study results show that the SVM is better one compares to ARIMA using the performance measurement tools of RMSE and MAPE by having RMSE of 0.028 and MAPE of 2.5 for the SVM and 36.18 and 2897 for ARIMA respectively. The results suggest SVM to be used in prediction of any commodity price due to his high accuracy.
i-Hamiltonian laceability in Shadow Graphs
Authors: Sumitra Devi M.R , Girisha A
Published: February 2021

Extracting a Hamiltonian path or cycle in a connected graph G(V,E)has a wide scope in graph theory. Determination of Hamiltonian path in different graph structures is widely researched problem. If h
(
g
) is the size of a Hamiltonian walk in G then G is termed as i-Hamiltonian, if h
(
g
)=
n
+
i, n is the order of G. Here we characterize i- Hamiltonian-t-laceability properties in shadow graph of paths and cycles.
An android based language translator application
Authors: Ogundokun Roseline Oluwaseun , Awotunde Joseph Bamidele , Misra Sanjay , Segun-Owolabi Tobe , Adeniyi Emmanuel Abidemi , Jaglan Vivek
Published: February 2021

A mobile translator is a mobile application that can be utilised for translating from English to any other dialect, and vice versa. The problem of language difference has hindered effective information communication over the years. There have been difficulties in information communication amid countries over the years. In modern times, language interpreters must understand and speak both the language been translated to and verse-visa. This traditional approach used for solving the problem of language differences has not been productive and favourable. Also, the teaching of different languages can be difficult due to language difference problems. The individual will also have to be taught by a tutor who will incur extra expenses and may not be the most efficient and favourable method. Therefore, the study develops an android phone language converter app in other to make learning and language translation easy and facilitates stress-free communication. The proposed language translation uses Google’s real-time translation API natural language processing with Java programming language to develop the application. The most used languages globally (i.e., English, Spanish, Arabic, Hindi, French, and Chinese) were used for the android application translation. This application can be useful for Tourists for communication purposes, thus allowing them to integrate with the local people and access the right information. The system will also be able to evaluate language translation to determine their suitability for everyday conversation; given the fact that it is an android application, one will always be willing to use their phone to learn, compared to having them on a computer or learn from a physical tutor when your phone can be your tutor. The application was evaluated based on the classification time the memory usage, and the battery life all through distinctive use.
A joint neuro-fuzzy malaria diagnosis system
Authors: Oladele Tinuke Omolewa , Ogundokun Roseline Oluwaseun , Misra Sanjay , Adeniyi Jide Kehinde , Jaglan Vivek
Published: February 2021

Diagnosis takes a definitive role in the course of determining about clarifying patients as either having or not having the disorder. This method is relatively sluggish and tedious. Various fact-finding and data-mining methods are part of the approach of this article. In the development of the Collaborative Neuro-Fuzzy Expert System diagnosis platform, Neural Networks and Fuzzy Logic, which are artificial intelligence methods, have been merged together. Oral interviews were conducted with medical professionals whose experience was caught in the Expertise Developed Fuzzy Proficient Scheme. With Microsoft Visual C # (C Sharp) Programming Language and Microsoft SQL (Structured Query Language) Server 2012 to handle the database, the Neuro-Fuzzy Expert Framework diagnostic software was introduced. To capture the predominant signs, questionnaires were administered to the patients and filled out by the doctors on behalf of the patients.
A Study on XSS Attacks: Intelligent Detection Methods
Authors: Stency V S , Mohanasundaram N
Published: February 2021

Cross-site scripting is one of the standard web application attacks vulnerable to the application layer. The attacker handles malicious scripting for trusted websites and inject the script. There are numerous types of XSS scripting vulnerable to attack websites incredibly open web applications. The attacker can load or redirect to the malicious webpage. The XSS is susceptible to attack significant websites like medical, e-commerce, banking, etc. The detection and prevention of XSS attacks are still complicated. Plenty of research has been carried out to control the XSS based attack. This paper analyses the XSS attack detection methods by various performance metrics. Numerous works issued in the widespread journals between 2019 and 2020 are reviewed in this paper to accomplish these requirements. The reviewed articles are compared concerning algorithms’ simplicity, the type they belong, and the performance metrics. The work assumed that the movement in the application of elementary methods to detect XSS attacks is better than the recommendations that custom some artificial-intelligence techniques.
Secure and Authenticate Communication by using SoftSIM for Intelligent Transportation System in Smart Cities
Authors: Yadav Shalini , Rishi Rahul
Published: February 2021

Intelligent Transportation System is a field which is daily paving way for new technologies. Communication in vehicular devices has paved way for security breaches. Vehicle-to-everything connects each and every device to our vehicle just like Internet of Things connects everything to the internet. Everything which is connected to the internet, is prone to security attack. It is very difficult to track the source of the information. Authentication is a big issue and has to be solved. This paper has provided a cognitive approach to address this problem effectively in ITS. A softSIM- similar to the hardware SIM has been proposed. An architecture of the softSIM is designed. A novel algorithm for authenticating the on-board softSIM with the operator has been developed. The performance analysis of softSIM is compared with regular device users. The paper also incorporates future scope as well as business case of the study. The soft SIM will be part of on-board unit and shall come programmed from manufacturer side. This has provided cost effective solution and saved the space that was needed for the hardware SIM.
Effectiveness of Virtual Physics Laboratory (VPL) with Dry Cell Microscopic Simulation (DCMS) to Promote of Inquiry Activity about the Battery
Authors: Wibowo Firmanul Catur , Setiawan Agus , Darman Dina Rahmi , Suhandi Andi , Samsudin Achmad , Noor Faizin M. , Supriyatman  , Anriani Nurul , Nurhaji Soffan , Fawaid Moh. , Adityo Farouq Panca , Niki Dian Permana P
Published: February 2021

Electricity concept is a concept that is microscopic and difficult to see by eye directly (unobservable). A Unique example of the concept of electrical energy in the dry cell, cannot see the movement of protons and electrons so that the dry cell can produce energy. It causes the students have difficulty learning in finding the concept. The Virtual Laboratory with designed to increase the understanding of the concept of the workings of the dry cell to Promote of Inquiry Activity. This study was conducted to 202 teacher physics of senior high school in the experimental group by learning to use the Virtual Physics Laboratory (VPL) with Dry Cell Microscopic Simulation (DCMS). The results show the data from questionnaires for indicators of carrying capacity of the Laboratory of teacher the physics of and post-test is enough from the effectiveness of VPL with DCMS to Promote of Inquiry Activity about the Battery. The implications of using a virtual laboratory designed to overcome conceptual mastery difficulties can effectively assist students in facilitating promote of inquiry activity.
Study on Control Rod Reactivity of Small Pebble Bed Reactor with Wallpaper Fuel Design
Authors: Zuhair  , Suwoto  , Permana S. , Setiadipura T.
Published: February 2021

The control rod reactivity is a crucial reactor parameter designed to shut down the reactor and to control the safety of reactor core under any operation conditions. This paper discusses the control rod reactivity of small pebble bed reactor with wallpaper fuel design. The geometric configuration of RDE was selected for the reactor core model. A number of simulations with Monte Carlo n-particle transport code MCNP6 based on evaluated nuclear data library ENDF/B-VII were employed to investigate the total and individual control rod worth and reactivity in stuck rod condition. In the simulation model, the total amount of uranium per pebble was kept constant at 5 g by varying the hexagonal lattice pitch calculated for different radius of the central graphite zone. The simulation results show that the total control rod achieves the best effectiveness on the central graphite radius of 1.0 cm. The highest worth of individual rods in the wallpaper fueled core are almost greater than that of standard fueled core. The stuck rod criterion in all simulation results confirm that, the failure of one rod with highest worth will not prevent the control system from shutting down the reactor. These results conclude that selecting a central graphite radius of wallpaper fuel is one of the strategies to be carefully considered and a radius of 1.0 cm is the best one in controlling reactor safety and ensuring the control system could shut down the reactor safely.
Measurement studies of thermal conductivity of water and coconut oil with nanoparticles dopant for thermal energy storage
Authors: Silalahi Alfriska O , Sutjahja I M , Kurnia D , Wonorahardjo S
Published: February 2021

The increasing need for energy is still the main issue and had led to finding solutions in many research. Heat transfer fluid and phase change material (PCM) are feasible thermal energy storage materials. For these two types of materials, thermal conductivity is an important parameter to be determined. Measurement of thermal conductivity is highly dependent on chemical composition, physical structure, and also tools of measurement. Thermal conductivity measurements are generally carried out by giving heat to the materials but still paying attention to the resulted temperature and the time duration of measurement to avoid making convection which makes the results inaccurate. Therefore, in this experiment we have investigated thermal conductivity of water and coconut oil (co_oil) as heat transfer fluid using the Decagon devices KD2Pro thermal analyzer that uses the transient line heat source. The results of data analysis are compared with the direct data from the devices, and the obtained results for the thermal conductivity of water are compared with the data from references.
Characterization of Neutron and Gamma Beams at the Tangential Beam Port of TRIGA 2000 Reactor Using Monte Carlo Methods
Authors: Rasito  , Permana S. , Ilham Y. P.
Published: February 2021

Characterization neutron and gamma beams at the tangential beam port of TRIGA 2000 reactor was done in order to prepare the development of Prompt Gamma Neutron Activation Analysis (PGNAA) facility. Characterization was performed by simulation using Monte Carlo method with MCNPX and PHITS computer codes. The MCNPX code was used to simulate the neutron-gamma fluence and energy spectra in the reactor core from fission reactions. The PHITS code was used to simulate the distribution of the neutron-gamma fluence and energy spectra in the tangential beam port. The simulation was done by modeling the geometry and elemental composition of reactor material and radiation source model in the form of fission reaction in the reactor core. The results indicate that the tangential beam port provides better neutron spectrum and neutron-gamma fluence ratio for PGNAA. These results will be used to simulate the colimator design and neutron interaction with samples in PGNAA facility.
Screening and Optimization of Carbon Source to Increase High Thermostabile Biosurfactant Production for Microbial Enhanced Oil Recovery (MEOR) Application
Authors: Purwasena I A , Astuti D I , Rusiwardani N S
Published: February 2021

Petroleum, is by far, one of the world’s major energy sources. However, its production continues to decline every year. One of the effort developed to increase crude oil production is biosurfactant addition. This research aimed to optimize carbon source as substrate used to produce bacterial biosurfactant. The first stage of the study was carbon source screening with based on biosurfactant’s dry weight, IFT value, and emulsification index parameters. The carbon source candidates were crude oil, glucose, molasses, and palm oil mil effluent (POME). Screening stage of crude oil, glucose, molasses, and POME resulted in (a) biosurfactant yield of 0.58, 3.18, 1.47, and 1.38 g/L; (b) IFT decrease of 6.9, 7.7, 4.6, and 6.1 dyne/cm; and (c) emulsification index of 62.5, 72.5, 47.5, and 58.75% for respective treatments. POME was chosen as the best carbon source in consideration that it was readily available in large quantities and lower cost compared to crude oil, glucose, and molasses. Treatments of 1, 3, 5, and 7% POME treatment yielded biosurfactant in the concentrations of 1.08, 1.28, 0.7, and 0.98% g/L respectively. Treatment of 3% POME was chosen as the best concentration to stimulate biosurfactant production. Biosurfactant produced was subsequently applied to sand-pack column simulation and additional oil recovery (AOR) of 20-40% was obtained. Functional group characterization using FTIR showed that biosurfactant produced in this study belonged to lipopeptide group.
Preliminary Study of DLOFC Accident in HTGR using GRSAC
Authors: Husnayani Ihda , Kuntjoro Sri , Setiawan M.Budi , Udiyani P.Made
Published: February 2021

High Temperature Gas-cooled Reactor (HTGR) is one of the Generation-IV reactors that has many advantages and very promising to be utilized in the future. National Nuclear Energy Agency of Indonesia (BATAN) has a program to build a non-commercial power reactor (RDE) that will be based on the pebble-bed type of HTGR. To support this program, the research and development activities in HTGR have been conducting recently. One of the important aspects to be studied is accident analysis to assess the behavior of HTGR during the accident and to anticipate the consequences that might be caused. The purpose of this work is to study the Depressurized Loss of Force Coolant (DLOFC) accident on HTGR by using Graphite Reactor Severe Accident Code (GRSAC). The type of HTGR used as a case study is PBMR-400. This work was begun with the preparation of GRSAC input for reactor parameter including reactor design, core layout design, primary cooling loop design, graphite properties and material properties, cavity design, vessel design, and fission product release. It was assumed that there is an initial event that causes the reactor depressurization and the coolant loss during the time range of 13 seconds. During this time, the reactor pressure dropped from 91.75 kg/cm2 to 1.05 kg/cm2 and the coolant flow reduced from 192.53 kg/s to 0.29 kg/s. Two types of DLOFC event were studied which are DLOFC with scram and DLOFC without scram. The behavior of the fuel temperature was then analyzed during the time range of 100 hours after the DLOFC accident. It was obtained that the maximum fuel temperature was reached at the time of 60 hours after the accident. The maximum temperature after the DLOFC with and without scram accident is 1545oC and 1740oC, respectively. The results of this work were also compared to the results of benchmark work on PBMR-400 conducted by American Nuclear Society and it showed a good comparison. At the end, this work will be very beneficial to be implemented in the RDE program.
Performance Analysis Of The Helium Purification System In The Indonesia Experimental Power Reactor
Authors: Irianto Ign. Djoko , Sriyono  , Bakhri Syaiful , Dibyo Sukmanto , Kusumastuti Rahayu , Kadarno Purwo
Published: February 2021

Indonesia’s experimental power reactor (RDE) is a reactor design based on the high-temperature gas-cooled reactor (HTGR) technology with the power of 10 MWth. According to the reactor safety, helium gas as the primary coolant has to be purified to assure the thermal characteristic. There are several stages of the purification process in the helium purification system (HPS). One stage in the train of HPS for removing N2 and O2 gas from the primary coolant system is the cryogenic unit. The cryogenic unit operates in the temperature about - 196 C. The objective of the research is to analyze the cryogenic unit performance in the helium purification system for removing N2 and O2 gas from the primary coolant system in the design of RDE. The performance analysis has been done by simulation using ChemCAD with variations in mass flowrate in the helium purification system and variations in the concentration of N2 and O2 gas in the helium coolant. The pressure in the cryogenic unit and all units of HPS is set in the same pressure of the primary coolant system is 3 MPa. The result showed that helium can be purified from the impurities N2 and O2 gas about 99 % at the mass flow rate of 0.45 kg/s. This result is important to support the design of HPS for RDE.
Forced Convection Heat Transfer of Zirconia-water Nanofluid in Vertical Triangular Sub-channel
Authors: Kamajaya Ketut , Umar Efrizon , Kustituantini Sudjatmi
Published: February 2021

Recently, the researchers in nuclear technology are thinking about the use of nanofluid as an alternative cooler, besides using the base-fluids or water and gas. The idea of using nanofluid is already being considered to be applied in nuclear power plants in the future. This nanofluid is expected to be applied in cooling systems, both primary cooling systems and emergency core cooling systems. Therefore, this study was conducted to determine the characteristics of the thermo-physical properties of ZrO2-water nanofluid in the forced convection flow. Recent studies showed that ZrO2-water nanofluid has a good prospect to be used in the nuclear reactor technology due to its low neutron absorption cross section. Although several papers have reported the physical properties of ZrO2-water nanofluid, practically there is no correlation equation for predicting forced convection heat transfer in a vertical triangular sub-channel in ZrO2-water nanofluid. This experiment used ZrO2–water nanofluid at a constant nanofluid concentration of 0.10 wt.%. The results showed that the average increase in ZrO2-water nanofluid heat transfer coefficient was greater than 20% compared to the base-fluids or water heat transfer coefficient as coolant. It is expected that this nanofluid will support the current trend especially in cooling system applications.
Effects of solid waste on the mechanical properties and hydration products of cement mortar
Authors: Guo Z H , Zhu X L , Yang W , Gao Y X
Published: February 2021

The existence of a large number of solid wastes has caused great pollution to the environment. In this study, different solid waste such as steel slag, water-quenched manganese slag, red mud and coal gangue was used in cement mortar, and the mechanical properties and hydration products were studied. Results showed that water-quenched manganese slag and high-calcium coal gangue after spontaneous combustion showed higher activity. Coal gangue has the highest activity of 102% and red mud has the lowest activity of 69%. Both steel slag and manganese slag added samples showed higher strength than that of manganese slag and steel slag separately added samples. The composite admixture of steel slag, manganese slag, red mud and coal gangue showed the highest strength at 7%, 8%, 8%, 7% and 7%, 12%, 4%, and 7%, respectively.
Eutectic fracture model and damage localization band of composite ceramics with reinforced lamellae
Authors: Yu J F , Ni X H , Liu X Q , Cheng Z G
Published: February 2021

The two-scale cell model is constructed based on the microstructure of composite ceramics with reinforced lamellae eutectic. The cohesive bond fracture stress between the matrix and reinforced phase is obtained considering the conditions of the rupture of the cohesive bond. The microcosmic damage fracture stress is obtained through introducing the damage variables and the cohesive bond fracture stress. The analytic results agree well with the experimental ones. According the Dugdale-Barenblatt model and regarding the microcosmic damage fracture stress of eutectic as residual intensity, the damage localization band model at crack tip is built. Quantitative analysis show that when the damage variable is high, the length of the damage localization band increases with the volume fraction of the reinforced lamellae increasing. The increases volume fraction of the lamellae leads to the declining residual intensity and the break of the strong binding force of the interphase. Reducing the material damage and selecting suitable volume fraction of reinforced lamellae phase can increase the fracture stress of eutectic and reduce the length of damage zone. So that the threshold of crack propagation and enhance the material strength would become high.
Research status of styrene acrylic damping coatings
Authors: Zhang H Y , Cheng Z G , Han B H
Published: February 2021

Styrene acrylic emulsion as an important functional intermediate has been widely studied in chemical industry, but its modification research on damping property is still less. At present, the main modification methods are blending, grafting and interpenetrating.
Influence of different materials of electric vehicle body on low frequency electromagnetic exposure for driver
Authors: Dong X W , Lu M
Published: February 2021

For electric vehicles(EVs), in addition to the power system is its core technology, the use of the new body materials with stronger hardness, lighter weight and better shielding performance is also one of the important issues concerned by the EVs industry. The distribution of induction field in the trunk and the central nervous system (CNS) of the driver’s is studied with the vehicle body materials are aluminum alloy, non-magnetic steel, metal X and permalloy. The results show that the maximum values of induced electric field intensity(E-field) and induced current density(J-field) in the driver’s trunk only reach 2.27% and 67% of the International Commission on Non-Ionizing Radiation Protection(ICNIRP) limits respectively, and the maximum values of E-field and J-field in the driver’s CNS only reach 0.29% and 0.62% of the ICNIRP limits respectively. So, the electromagnetic exposure levels of the driver’s body are within the safe range in this situation. In short, the EVs body material with the higher resistivity and relative permeability would make the electromagnetic exposure level for the driver’s body in a much lower level, and it is also much safer for the driver’s body from the perspective of electromagnetic dosimetry.
Preference of Corporate Charitable Donation Field Based on AHP-Topsis Model
Authors: Zhixiang Gu
Published: February 2021

According to the characteristics of corporate charitable donation behavior, the evaluation system of charitable donation field is established from the donation field and corporate business relevance, the social media attention, the number of potential customers and the willingness of leaders and employees. The weight of each evaluation index is determined by Analytic Hierarchy Process (AHP), and then the preferential model of corporate charitable donation field is established by combining Technique for Order Preference by Similarity to an Ideal Solution (Topsis). Finally, the AHP-Topsis model is used to compare and select the six fields to which a green technology real estate company may make donations. According to the results, the comprehensive superiority in the field of ecological environment is the best, up to 76.9%. The evaluation results match the actual corporate donation field, and the model can be applied to the preference decision in the corporate charitable donation field.
Photoluminescence enhancement of CsPbBr3 quantum dots on Au island fiber film surface for optical communication and quantum information communication
Authors: Han Xueting , Jiang Mingyue , Xu Ran , Ma Xinrui , Yi Jie , Liu Chunxia , An Limin
Published: February 2021

Compared with the glass surface, the photoluminescence intensity of CsPbBr3 quantum dots excited by 1200 nm femtosecond laser on the surface of Au island fiber film (AIF) is significantly enhanced. On the other hand, the photoluminescence intensity decay of CsPbBr3 quantum dots on the AIF surface shows a fast decay of the average photoluminescence lifetime. The Photoluminescence enhancement effect of CsPbBr3 quantum dots was analysed by photoluminescence spectrum, transmission electron microscope, absorption spectrum and photoluminescence decay. The spectral changes of CsPbBr3 quantum dots on the AIF surface are related to surface plasmon resonance. The enhanced photoluminescence of CsPbBr3 quantum dots on the AIF surface can be used in optical communication and quantum information communication.
Rolling bearing fault diagnosis method based on VMD and LSSVM
Authors: Zhu Xingtong , Huang Zhiling , Chen Jinfeng , Lu Junhao
Published: February 2021

The vibration signal of rolling bearing is complex, it is difficult to extract fault features and diagnose accurately. In this paper, a rolling bearing fault diagnosis method based on variational mode decomposition and GWO-LSSVM is proposed. The variational mode decomposition algorithm is used to decompose the bearing vibration signal, and the fuzzy entropy of each component signal is calculated. GWO is used to optimize the parameters of LSSVM. The least square support vector machine is used to identify the bearing fault.
Research on network security risk analysis method based on full traffic
Authors: Tang Yong , Liang Yunhui , Xiong Xiaowen , Liu Tao , Liu Chun
Published: February 2021

In the application process of industrial Internet, network security threats and malicious attacks occur from time to time. In order to improve the ability of network perception of unknown threats and the level of network security protection, this paper proposes a network security detection method based on full flow. Through online intelligent detection of network malicious traffic, unknown threats and malicious attacks can be found, provide guarantee for improving enterprise network security level.
Research on flow and pressure prediction of urban water supply pipeline network based on GA-BP algorithm
Authors: Xia Wei , Wang Yongyou , Liu Runhao , Wang Shi
Published: February 2021

In order to realize the optimal scheduling and energy saving of urban water supply pipeline system, a method of flow and pressure prediction of water supply pipeline network based on genetic algorithm and BP neural network is proposed in the paper. The flow and pressure prediction models of urban water supply network are built, then tests and verifies the models by the dates obtained from the water supply monitoring system, so as to provide control basis for optimal operation of urban water supply pipeline network.
X-ray Image Processing Method for Buffer Layer Defect in High Voltage Cable
Authors: Jun Zhang , Fuyong Huang , Sanwei Liu , Zeyu Zeng , Chao Feng , Yi Xie
Published: February 2021

The original X-ray image of the high voltage XLPE insulated cable has low contrast due to its complexity and the limited imaging conditions. Therefore, an X-ray image processing method is proposed to address the high voltage cable’s buffer layer defect detection. One hundred seventy-seven high-resolution images from a cable tunnel are collected. The results indicated that our method could efficiently detect buffer layer defects.