bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of vibration high-frequency dynamic characteristics of wheelless rail vehicle system based on fuzzy logic control
Authors: Yirui Zhang , Jian Su
Published: July 2020

Track irregularity is the main source of vibration excitation of vehicle-track weighing system, which has an important impact on the safety, stability and comfort of train operation, and it is also the main factor limiting the speed of train operation. Higher requirements are put forward for track smoothness with the rapid development of China’s railways. Therefore, it has a great theoretical and practical significance to study the relationship between track irregularity and random vibration of vehicle-track cooker-in system and the evaluation method of track smoothness. In this paper, a model construction method is proposed based on machine learning fuzzy logic control and neural network algorithm to analyze the high frequency dynamic characteristics of ballastless track wheel-rail vehicle system. Firstly, a numerical analysis model of high frequency dynamic characteristics of ballastless track wheel-rail vehicle system is established by using linear discrete elastic-yellow damper element connection model; Secondly, the Rough Set Block Neural Network is introduced to optimize the dynamic characteristic analysis model, and the intelligent model of model optimization analysis is established. Finally, the validity of the proposed algorithm is verified by simulation experiments of practical examples.
Public service hot issue discovery with binary differential evolution algorithm based on fuzzy system theory
Authors: Danqing Liang , Ming Jin , Li Li
Published: July 2020

Social media is becoming more and more closely related to the real life. More and more netizens choose to obtain news and publish notice through social networks. Such huge amount of social media information generated by these users contains a lot of information related to hot topics and events. At the same time, problem of information overload has posed a challenge for people to use the information. It has become an important research issue to discover and track hot events and topics automatically from mass social media data. On the one hand, the short, highly noisy and real-time features of the social media data bring challenges to the discovery and tracking methods of traditional hot issues. On the other hand, the social media data contains abundant information of geography, time, and social relations, which brings great convenience to relevant researches. Based on these features of the social media data, this paper makes a deep study on the discovery, extraction, and tracking of hot issues in the social media based on fuzzy system theory and the word vector semantic clustering.
Public opinion analysis of complex network information of local similarity clustering based on intelligent fuzzy system
Authors: Lili Dai , Lei Shi , Gang Xie
Published: July 2020

With the rise of the network society, as the mapping Internet space, the public opinion has become the most active way of expressing social public opinion. It gradually gets deeply involved in the development and change of various social phenomena, social problems and social events, and evolves into the real politics and public management. In this context, it is of great practical significance to explore the evolution process and laws of online public opinions and systematically analyze the influence mechanism in the evolution process of online public opinions. This paper comprehensively uses the modeling simulation, empirical analysis, fuzzy systems and other research methods, adopts the reasonable abstraction of the main behavior characteristics, behavior motives and network relations of network users, and then constructs the evolution model of network public opinion in the complex social network. Besides, from the new research perspective of network members and network relations of the dynamic interaction between the government, media and netizen, this paper makes an in-depth study on the influence mechanism of the dynamic evolution of online public opinion.
Interval probability hesitant fuzzy linguistic analytic hierarchy process and its application in talent selection
Authors: Xian Sidong , Guo Hailin , Chai Jiahui , Wan Wenhua
Published: July 2020

Hesitant fuzzy linguistic term set (HFLTS) can handle the qualitative and hesitant information in multiple attribute decision making (MADM) problems which are widely used in various fields. However, the experts’ evaluation of information is not completely reliable in the situation where their own knowledge background is insufficient. In order to deal with deviations due to incomplete reliability of the evaluation, this paper first proposes the interval probability hesitant fuzzy linguistic variable (IPHFLV), which takes the HFLTS as the evaluation part and adds a novel element-reliability of evaluation, thus can describe the different credibility of information evaluation due to the familiarity of experts with schemes and the differences in knowledge cognition. The operation rules and comparison methods are also illustrated. Particularly, under the inspiration of probability theory, we propose the possibility degree of the IPHFLVs. Then we propose IPHFL-AHP based on the AHP and interval probability hesitant fuzzy linguistic variable. Especially, the general geometric consistency index (G-GCI) based on the unbiased estimator of the variance is presented to measure the consistency and the iterative algorithm is constructed to improve the consistency. We use the possibility degree to calculate the priority vector to acquire the total ranking and introduce the process of IPHFL-AHP. Finally, case study of talent selection is given to illustrate the effectiveness and feasibility of the proposed method.
Parallel CNN based big data visualization for traffic monitoring
Authors: Rao G. Madhukar , Ramesh Dharavath
Published: July 2020

In a real-time application such as traffic monitoring, it is required to process the enormous amount of data. Traffic prediction is essential for intelligent transportation systems (ITSs), traffic management authorities, and travelers. Traffic prediction has become a challenging task due to various non-linear temporal dynamics at different locations, complicated underlying spatial dependencies, and more extended step forecasting. To accommodate these instances, efficient visualization and data mining techniques are required to predict and analyze the massive amount of traffic big data. This paper presents a deep learning-based parallel convolutional neural network (Parallel-CNN) methodology to predict the traffic conditions of a specific region. The methodology of deep learning contains multiple processing layers and performs various computational strategies, which is used to learn representations of data with multilevel abstraction. The data has captured from the department of transportation; thus, the size of data is vast, and it can be analyzed to get the behavior of the traffic condition. The purpose of this paper is to monitor traffic behavior, which enables the user to make decisions to build the traffic-free cities. Experimental results show that the proposed methodology outperforms other existing methods such as KNN, CNN, and FIMT-DD.
A novel portfolio selection with prospect value constraint and distance measure of IFSs based on the improved entropy-weighted method
Authors: Deng Xue , Chen Chuangjie
Published: July 2020

The purpose of this paper is to solve the portfolio selection problem when historical data are unavailable. In this paper, the problem is viewed as a multi-criteria decision making (MCDM) problem under intuitionistic fuzzy circumstances, and the prospect theory is utilized to reflect decision makers’ psychological state, which is always bounded rational. Therefore, a new approach to solve MCDM problems is presented based on the following improvements. (a) The entropy-weighted method with extreme data resistance is proposed instead of weight function to deal with the weight of criteria, because weight stands for the decision maker’s preference of criteria rather than objective probability and should not be distorted. (b) A new entropy-weighted method with confidence degree is presented, which can not only describe the uncertainty of information each criterion provides but also reflect the decision maker’s confidence in the information. (c) To reduce the interference from extreme data, the median is selected as reference point instead of mean or extreme value. (d) Based on the distance measure, the intuitionistic fuzzy prospect value function is presented to capture decision makers’ psychological state. Finally, a novel model with prospect value constraint and risk preference is constructed to allocate investment ratios. For our proposed method and model, two numerical applications are given to verify their validity and the sensitivity analysis is carried out to illustrate their practical significance.
Respiratory Dysfunction in Becker Muscular Dystrophy Patients: A Case Series and Autopsy Report
Authors: Mori-Yoshimura Madoka , Oya Yasushi , Komaki Hirohumi , Segawa Kazuhiko , Minami Narihiro , Saito Yuko , Nishino Ichizo , Takahashi Yuji
Published: July 2020

Background: Few studies have examined respiratory dysfunction in patients with Becker muscular dystrophy (BMD). Objective: This study aimed to examine the characteristics of respiratory dysfunction in patients with BMD. Methods: The present retrospective study assessed respiratory parameters of adult BMD patients using medical records and compared these parameters with various patient characteristics to identify correlations. BMD patients aged 17 years and older who had been diagnosed genetically and/or pathologically were included in the analysis. Results: Of the source population of 133 patients, respiratory function was assessed in 85. Two of these patients had no symptoms, and eight had died. Mean % forced vital capacity (% FVC) was 94.2+/–21.7% (median, 96.1%; range, 5.1–134.1%). In 16 (19%) of the 85 patients, % FVC was <80%. Of these, seven were non-ambulant. Age, ambulation, and cardiac function did not significantly differ between patients with or without respiratory dysfunction, whereas age at onset was significantly lower in patients with respiratory dysfunction (7.7+/–4.7 years vs. 14.4+/–11.9 years; p = 0.001). One non-ambulant patient was a continuous NPPV user, and one patient had been recommended NPPV use but refused. Autopsy of one patient revealed that the diaphragm and intercostal muscles were less affected than proximal skeletal muscles. Conclusion: BMD patients are at risk of developing respiratory dysfunction due to dystrophic changes in respiratory muscles. Respiratory function should be carefully and periodically monitored in these patients.
Real-Life Use of Levodopa/Carbidopa Intestinal Gel in Parkinson’s Disease According to Analysis of Pump Data
Authors: Nyholm Dag , Adnan Malak , Senek Marina
Published: July 2020

Background: Levodopa/carbidopa intestinal gel (LCIG) infusion is an efficacious treatment of motor and non-motor fluctuations in people with Parkinson’s disease (PD). Real-life use of the treatment is not previously studied. Objective: The aims of the study were to explore the use of LCIG and to determine how extra doses of LCIG are used in daily life. Methods: Twenty-five PD patients with ongoing LCIG therapy were consecutively included. Pump data was retrieved from 30 days on average, by means of software, extracting the most recent pump events. Results: The daily duration of infusion was 15 hours on average, in 18 patients, whereas the remaining 7 patients used 24-hour infusion. Morning doses ranged from 38–190 mg levodopa, for patients who utilized this function. Median number of daily extra doses was 2.5 (range: 0–10.6) and median size of the extra dose was 24 mg (0–80 mg) levodopa. Median total daily levodopa intake with LCIG was 1201 mg (range: 417–2322 mg). Conclusion: Retrieving pump data is possible and may be important for evaluating the at-home use of LCIG, to optimize the therapy. Adherence to treatment should be monitored, which is not technically difficult, at least in device-aided treatments for PD.
College Basketball Rating (CBR): A new body-of-work metric for NCAA tournament selection
Authors: Stocks-Smith Justin
Published: July 2020

The 2018-2019 NCAA men’s basketball tournament featured 32 automatic qualifiers and 36 at-large selections. A new metric, College Basketball Rating (CBR), agrees with 30 of the 36 at-large selections but disagrees with the other six teams. CBR finds St. John’s, Temple, Seton Hall, Ole Miss, Baylor, and Minnesota unworthy of an at-large selection and instead prefers Clemson, Texas, Lipscomb, Nebraska, NC State, and TCU. In the most extreme case, CBR identifies 45 non-tournament teams more deserving of an at-large selection than St. John’s. This paper highlights the numerous benefits of CBR and presents strong evidence in favor of its use in determining future NCAA tournament at-large selections.
A Novel Automated Interoperability Test and Debug System for Near-Field Communication
Authors: Erb Martin , Steger Christian , Troyer Martin , Preishuber-Pflügl Josef
Published: July 2020

In this article, we present a new system architecture of an automated interoperability test and debug system for Near-Field Communication (NFC). The increasing availability of NFC-enabled devices and the resulting amount of NFC applications require new methods for interoperability testing and debugging in order to reduce costs. We combine already existing interoperability test systems and the know-how of manual debugging methods to develop a new automated interoperability test and debug system architecture. We analyze the main components of state-of-the-art test systems, define new requirements for the new system architecture, and evaluated the feasibility with two different designs. Our new system architecture significantly reduces the time and cost of developing and certifying new NFC-enabled devices.
Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning
Authors: Ma Luyao , Wang Yun , Guo Lin , Zhang Yu , Wang Ping , Pei Xu , Qian Lingjun , Jaeger Stefan , Ke Xiaowen , Yin Xiaoping , Lure Fleming Y.M.
Published: July 2020

OBJECTIVE:

Diagnosis of tuberculosis (TB) in multi-slice spiral computed tomography (CT) images is a difficult task in many TB prevalent locations in which experienced radiologists are lacking. To address this difficulty, we develop an automated detection system based on artificial intelligence (AI) in this study to simplify the diagnostic process of active tuberculosis (ATB) and improve the diagnostic accuracy using CT images.

DATA:

A CT image dataset of 846 patients is retrospectively collected from a large teaching hospital. The gold standard for ATB patients is sputum smear, and the gold standard for normal and pneumonia patients is the CT report result. The dataset is divided into independent training and testing data subsets. The training data contains 337 ATB, 110 pneumonia, and 120 normal cases, while the testing data contains 139 ATB, 40 pneumonia, and 100 normal cases, respectively.

METHODS:

A U-Net deep learning algorithm was applied for automatic detection and segmentation of ATB lesions. Image processing methods are then applied to CT layers diagnosed as ATB lesions by U-Net, which can detect potentially misdiagnosed layers, and can turn 2D ATB lesions into 3D lesions based on consecutive U-Net annotations. Finally, independent test data is used to evaluate the performance of the developed AI tool.

RESULTS:

For an independent test, the AI tool yields an AUC value of 0.980. Accuracy, sensitivity, specificity, positive predictive value, and negative predictive value are 0.968, 0.964, 0.971, 0.971, and 0.964, respectively, which shows that the AI tool performs well for detection of ATB and differential diagnosis of non-ATB (i.e. pneumonia and normal cases).

CONCLUSION:

An AI tool for automatic detection of ATB in chest CT is successfully developed in this study. The AI tool can accurately detect ATB patients, and distinguish between ATB and non- ATB cases, which simplifies the diagnosis process and lays a solid foundation for the next step of AI in CT diagnosis of ATB in clinical application.
Comparison of extractive distillation flowsheets for methanol–tetrahydrofuran–water mixtures
Authors: Raeva V. M. , Dubrovsky A. M.
Published: July 2020

Objectives. Synthesis and comparative analysis of the extractive distillation flowsheets for aqueous mixtures of solvents utilized in pharmaceutical industries using the example of a methanol−tetrahydrofuran−water system with various compositions. The ternary system contains two minimally boiling azeotropes that exist in a vapor–liquid phase equilibrium. To evaluate the selective effect of glycerol, the phase equilibria of the methanol–tetrahydrofuran–water and methanol–tetrahydrofuran–water–glycerol systems at 101.32 kPa were studied.

Methods. The calculations were carried out in the Aspen Plus V.9.0 software package. The vapor–liquid equilibria were simulated using the non-random two-liquid (NRTL) equation with the binary interaction parameters of the software package database. To account for the non-ideal behavior of the vapor phase, the Redlich–Kwong equation of state was used. The calculations of the extractive distillation schemes were carried out at 101.32 kPa.

Results. The conceptual flowsheets of extractive distillation are proposed. The flowsheets consist of three (schemes I–III) or four (scheme IV) distillation columns operating at atmospheric pressure. In schemes I and II, the extractive distillation of the mixtures is carried out with tetrahydrofuran isolation occurring in the distillate stream. Further separation in the schemes differs in the order of glycerol isolation: in the third column for scheme I (traditional extractive distillation complex) or in the second column for scheme II (two-column extractive distillation complex + methanol/water separation column). Sсheme III caters to the complete dehydration of the basic ternary mixtures, followed by the extractive distillation of the azeotropic methanol–tetrahydrofuran system, also with glycerol. Sсheme IV includes a preconcentration column (for the partial removal of water) and a traditional extractive distillation complex.

Conclusions. According to the criterion of least energy consumption for separation (the total load of the reboilers of distillation columns), sсheme I (a traditional complex of extractive distillation) is recommended. Additionally, the energy expended for the separation of the basic equimolar mixture using glycerol as the extractive agent was compared with that expended using another selective agent: 1,2-ethanediol. Glycerol is an effective extractive agent because it reduces energy consumption, in comparison with 1,2-ethanediol, by more than 5%.
An effective method for preparation of high purity oligohexamethylene guanidine salts
Authors: Ivanov I. S. , Shatalov D. O. , Kedik S. A. , Sedishev I. P. , Beliakov S. V. , Trachuk K. N. , Komarova V. V.
Published: July 2020

Objectives. Given that microorganisms can become resistant to certain groups of drugs and considering also their ability to form biofilms, the development of new drugs that are active against adapted microflora is required. This study focused on the development of a new method for the synthesis of a promising compound, the branched hydrosuccinate oligohexamethylene guanidine (OHMGsucc), with high purity that meets the standards of the 14th edition State Pharmacopeia of the Russian Federation (SPRF). Previously proposed methods have managed to isolate this product, which, however, complies with the requirements of the outdated SPRF. Therefore, the main aim of this study was to update the regulatory framework for the indicated OHMG salt for its further use in the pharmaceutical industry according to modern standards.

Methods. To control the residual impurities of hexamethylenediamine (HMDA) and guanidine hydrochloride (GHC), high-performance liquid chromatography (HPLC) was applied using a Thermo Scientific Dionex UltiMate 3000 chromatograph, and the chromatographic signals of the test solution with those of a standard sample solution obtained by a previously published conventional method were compared.

Results. The HPLC experimental data indicated a significant difference in the quantitative content of HMDA and GHC observed for the new and older preparation method of the branched OHMGsucc, suggesting that the method disclosed in this article can be used to obtain highly pure OHMGsucc.

Conclusions. The specified compound was standardized with the parameter “related impurities” according to the current (14th) edition of the SPRF. The effectiveness and reproducibility of the proposed method was experimentally confirmed. In addition, a process diagram for the preparation of the indicated OHMG salt was prepared.
Supplemental enzyme in artificial diets for north african catfish larvae Clarias gariepinus Burchell, 1822
Authors: Cahyadi Ucu , Jusadi Dedi , Fauzi Ichsan Ahmad , Sunarma Ade
Published: July 2020

Supplemental enzyme in artificial diets with difference doses for African catfish Clarias gariepinus (initial weight of 0.0048±0.0001 g and total length 0.7633±0.0392 cm) were examined for 12 days feeding trial. The aim of this study was to analyze the effectiveness supplemental enzymes in diets for growth performance of catfish larvae. Tubifex sp. (control) and a multi enzyme was included at the level of 0.00 (ME0), 1.00 (ME1) and 2.00 g kg-1 (ME2 diet as a test diets. Each of the four experimental diets was randomly assigned to four plicate groups. Larva was allocated into 150 L aquaria at a density of 1350 larvae per aquarium. Data was analyzed using SPSS 20, followed by Duncan’s test. The result showed that the survival rate and condition factors were no statistical difference between experimental diets and control group. The highest final length, final weight, total food consumption, villi length and enzymes activity  were recorded in the Control (P<0.05) and significantly different with other treatments. Feed efficiency’s control significantly different with other. Harvest size distribution, in the small size group (1-2 cm) did not show significantly different, in the medium size group (2-3 cm) and large size group (3-5 cm) the Tubifex sp. treatment were significantly different from the other treatments (P<0.05) whereas between ME0, ME1 and ME2 treatments were not significantly different. Among the supplemental enzyme in test diets, ME2 can improve weight and total length 6.25% and 13.4%, respectively than ME0 treatment. The results suggested that enzyme supplementation can improve intestinal structure and growth performance of catfish larvae. The supplemental enzyme in diets with doses up to 2 g kg-1 can increase intestinal villi’s length but have not been able to increase fish growth performance as use worm.
Investigation of methylene blue adsorption capacity of porous chitosan particles
Authors: Ngọc Trần Quang , Nguyen Hoang Thi Trang , Thang Vo Nhat
Published: July 2020

Chitosan obtained from shrimp shells and SiO2 nanoparticles obtained from rice husk ash were used to synthesize chitosan - SiO2 composite materials. In order to obtain a porous chitosan adsorbent, the SiO2 particles in the chitosan - SiO2 composite material were removed with NaOH solution. With the orientation of applying adsorbent in wastewater treatment of textile industry, the ability of methylene blue adsorption of chitosan with porous structure has been investigated. Survey results show that chitosan has porous structure with good adsorption capacity of methylene blue. The adsorption capacity of materials depends on many factors such as: structure of particles; pH of adsorption medium and temperature. Adsorbent material is made of composite chitosan - SiO2 with the ratio of chitosan/SiO2 equal to 1/1 (w/w) with the best adsorption capacity. Materials with good adsorption capacity at pH = 6, at low pH, the adsorption capacity of the material is significantly reduced. Temperature has a great influence on the adsorption capacity of the material. The suitable temperature for adsorption of materials is 40 oC. With a higher temperature, the desorption process will be accelerated. This makes the adsorption capacity of the material decrease. The maximum methylene blue adsorption capacity of the material is determined about 7.25 mg/g after 40 minutes of adsorption time.
Studi Daya Hantar Listrik Terhadap Mutu Fisiologis Benih Kedelai (Glycine max (L.) Merr) dengan Perlakuan Invigorasi Matriconditioning dan Osmoconditioning
Authors: Pamungkas Puguh Bintang , Kusberyunadi Muhammad
Published: July 2020

Deteriorasi menghambat usaha dalam pemenuhan kebutuhan kedelai nasional. Imbas proses tersebut menyebabkan kualitas benih kedelai berkurang. Invigorasi dilakukan untuk meningkatkan kualitas benih. Tujuan dari penelitian ini agar dapat mengetahui korelasi antara daya hantar listrik dengan variabel fisiologis benih kedelai. Percobaan berlangsung di laboratorium Agroteknologi Universitas PGRI Yogyakarta dan laboratorium Kimia Universitas Mercu Buana Yogyakarta. Metode penelitian menggunakan Rancangan Acak Lengkap 5 faktor dengan 3 ulangan. Pengamatan terdiri dari kadar air, daya berkecambah, indeks vigor dan daya hantar listrik. Berdasar percobaan yang dilakukan, terdapat perbedaan yang nyata antar perlakuan pada variabel daya berkecambah dan indeks vigor, sedangkan pada variabel kadar air tidak menunjukkan perbedaan yang nyata. Regresi yang dilakukan memperlihatkan adanya korelasi positif antar variabel daya hantar listrik-kadar air, sedang korelasi negatif terdapat antara variabel daya hantar listrik-daya berkecambah dan daya hantar listrik-indeks vigor. Kualitas benih dapat dilihat melalui kebocoran membran sel, kebocoran elektrolit tinggi pada benih (P4) dianggap kualitasnya rendah, sedangkan kebocoran elektrolit rendah pada benih (P0) dianggap kualitasnya tinggi.
Perpindahan Panas pada Pengering Tipe Drum Berputar pada Kondisi Tanpa Beban
Authors: Syska Kavadya , Ropiudin Ropiudin
Published: July 2020

Pengering tipe drum berputar yang dikembangkan merupakan sistem yang terdiri atas empat subsistem yaitu: tungku pembakaran, tangki air, penukar panas, dan silinder pengering. Penelitian ini bertujuan untuk mengetahui mekanisme pindah panas pengering tipe drum berputar, besarnya kehilangan panas, dan efisiensi termal sistem selama proses pengeringan tanpa beban. Metode penelitian yang digunakan adalah metode analitik pada pengering tipe drum berputar. Variabel penelitian meliputi: (a) variabel pengukuran yaitu perubahan suhu pada masing-masing subsistem, spesifikasi geometri pengering, suhu lingkungan, dan (b) variabel perhitungan meliputi koefisien konveksi bahan, kehilangan panas, dan efisiensi termal. Pengukuran dilakukan setiap 10 menit dan diakhiri pada saat suhu masuk silinder pengering konstan. Data hasil pengukuran dianalisis menggunakan persamaan pindah panas sehingga diperoleh nilai pindah panas untuk mengetahui besarnya nilai kehilangan panas dan efisiensi sistem. Hasil penelitian menunjukkan mekanisme pindah panas pada pengering tipe drum berputar terjadi secara konduksi dan konveksi. Total panas yang hilang pada subsistem tungku pembakaran 261,270 MJ, subsistem tangki air 20,416 MJ, subsistem penukar panas 0,017 MJ, dan subsistem silinder pengering 0,577 MJ. Efisiensi termal pada subsistem tungku pembakaran 30,17%, subsistem tangki air 74,30%, subsistem penukar panas 99,97%, dan subsistem silinder pengering 99,02%. Efisiensi total sistem terhadap besarnya bahan bakar yang diberikan adalah 75,87%.
Persistence of African languages and religions in Latin America since slavery
Authors: Nakanyete Ndapewa Fenny
Published: July 2020

This paper examines the presence of African languages and spiritual practices of Candomblé, Santería and Vodou religions in Brazil, Cuba and Haiti respectively. The three religions are known to have been originated by African slaves that were mostly captured in- and transferred from West and Central Africa to Latin America. Currently, the three religions are not only followed by African descendants, but also by people of various ethnic backgrounds worldwide. Thus, people flock to the three countries regularly to be initiated into this African-based religions and cultures. On the other hand, similar spiritual practices on the African continent seem to be generally stigmatized if not demonized. Findings presented in this paper are as a result of direct observations and open interviews over a four months of fieldwork, as well as desktop reviews of existing literature. The findings demonstrate etymologies of terms and expressions that are of various African languages origin and are used in the three religions. The paper calls for integral comparative studies of parts in Africa with parts of Latin America to auxiliary identify linguistic and spirituality similarities, and significance roles of African slaves in maintaining African traditions.
PENGARUH DISAIN TANGGUL LUAR NCICD TERHADAP KEJADIAN TSUNAMI KRAKATAU 1883
Authors: Ginting Juventus Welly , Putra Ida Ayu Irawati Diah Ratna , Simanjuntak Eduardo Meyrianso
Published: July 2020

Selama lima tahun terakhir telah dilaksanakan program penataan kawasan pesisir Jakarta yang diintegrasikan dalam suatu Program Pengembangan Terpadu Pesisir Ibukota Negara (PTPIN) atau sering disebut NCICD. Salah satu penataan yang dilakukan adalah dengan dibangunya tanggul luar. KOIKA sebagai salah satu pihak yang ikut dalam mendisain bentuk tanggul luar. Dalam laporan KOIKA “konsep disain Outer Sea Dike (OSD)” telah melakukan studi beberapa alternative bentuk profil tanggul serta layout dari rencana tanggul. Dari hasil kajian yang dilakukan oleh KOIKA diperoleh layout disain tanggul OSD. Disain yang ditawarkan oleh pihak KOIKA yaitu disain tanggul dengan disain terbuka (OSD open), tertutup (OSD Closed) serta dilengkapi dengan konsep reklamasi. Studi ini meninjau pengaruh pengaruh disain OSD terhadap kejadian tsunami Krakatau 1883. Dari hasil model numerik diperoleh disain tanggul OSD mempengaruhi ketinggian gelombang yang disebakan oleh tsunami untuk disain tanggul yang efektif untuk meredam ketinggian gelombang adalah disain dengan mengunakan disain kondisi eksisting dengan OSD open, jika dibandingkan dengan kondisi eksisting tanggul tersebut efektif untuk mengurangai ketinggian gelombang di 5 daerah kajian.
Continuity Relations, Probability Acceleration Current Sources and Internal Communications in Interacting Fragments
Authors: Nalewajski Roman F.
Published: July 2020

Classical issues of local continuities and density partition in molecular quantum mechanics are reexamined. An effective velocity of the probability current is identified as the current-per-particle and its properties are explored. The local probability acceleration and the associated force concept are introduced. They are shown to identically vanish in the stationary electronic states. This acceleration measure also determines the associated productions of physical currents, e.g., the local source of the resultant content of electronic gradient information. The probability partitioning between reactants is revisited and illustrated using the stockholder division rule of Hirshfeld. A simple orbital model is used to describe the polarized (disentangled) and equilibrium (entangled) molecular fragments containing the distinguishable and indistinguishable groups of electrons, respectively, and their mixed quantum character is emphasized. The fragment density matrix is shown to determine the subsystem internal electron communications.
Potential Plants for Treatment and Management of COVID-19 in Nigeria
Authors: Chiyere B. C. Ikpa , O. D. Maduka Tochukwu , Enyoh Christian Ebere , J. M. Ikezu Uju
Published: July 2020

The recent outburst of novel Coronavirus disease (COVID-19), now a global pandemic highlights an urgent need for therapeutics targeting ‘severe acute respiratory syndrome’ (SARS-CoV-2). In Nigeria, infection cases are on daily rise with death rate of ~3 %. Therefore, slowing the spread of the virus will significantly reduce the strain on the healthcare system and governments. Here, we presented local medicinal plants cultivated in Nigeria as possible therapeutic approaches, exclusively targeting SARS-CoV-2 and its pathways. The study focused on some plants containing bioactive compounds that showed promising results against previous coronaviruses. Potential plants identified include Zingiber officinale, Allium cepa, Allium sativum, echinacea, euphorbia hirta, Garcenea kola, Curcuma longa, Aleo vera and olea europaea. Although inhibition of viral replication is seen as the possible mechanism for antiviral activity of most of the natural compounds, recent research has shown that some natural compounds can interact with major viral proteins associated with virulence. Thereby, showing they could be a valuable tool for possible inhibition, management and treatment of SARS-CoV-2. However, further research is required to investigate and validate their potential use as anti-SARS-CoV-2.
Influence of Information and Communication Technology (ICT) in Tourism Sector: A Descriptive Approach
Authors: Sharma Gajendra , Dhakal Prakriti
Published: July 2020

Nepal is a country blessed with natural beauty, diverse culture, majestic Himalayas, religious destination which attracts thousands of tourists every year making the tourism industry progressive to flourish. Information Communication Technology (ICT) proves to be an effective tool for strengthening the tourism industry. Thus, the purpose of this research study is to analyze about the past scenario of tourism industry, advent of ICT in tourism industry, positive impacts of ICT in tourism industry through in-depth interview with tourism experts and people who have worked for tourism since decades. This study is a form of qualitative research where narrative inquiry has been selected and the scenario has been analyzed through themes developed from the narratives. The result reveals that the emerging technology brings positive impacts to tourism industry assisting branding, promotion of the country, enhancing networks through communication and easily booking tours. The proper utilization of ICT helps to welcome tourists and to give identity of our country Nepal to the world.
Bio Inspired Self-Curing Composite: A Leap into Augmented Enactment
Authors: Khuntia Sravan Kumar , Bana Himanshu , Bhowmik Dr Shantanu
Published: July 2020

Relentless progress has been made on composite materials, their manufacturing processes and their structural design in past few decades. Nevertheless, the approval of composite materials in all engineering disciplines is constrained due to its susceptibility to various kinds of defects during manufacturing stage viz porosity, foreign body inclusion, incorrect fiber volume, bonding defect, fiber misalignment, ply misalignment, incorrect curing cycle, wavy fiber, ply cracking, delamination, fiber microstructural defects etc. Hence there was a requirement of techniques to somehow overcome these defects during the service life of composites being used in various structures and equipment. This promising field of research has made great progress over the past several years, but many procedural encounters are still to be overcome, and there exists a great need for focused research to address several areas of concern. On the other hand, nature has materials that have curing potential and repair strategies ensuring their survival. Sustained development in the field will produce new curing chemistries that possess greater stability, faster kinetics. Tailor-made placement of curing agents is dynamic research subject at the cutting edge of self-curing. New bio-imitative curing agents are closely connected to vascular networks. The purpose of this technical paper is to sort the methodology in line with ongoing research efforts in composites. A perspective on current and future self-curing approaches using this biomimetic technique is offered.
MULTI-CRITERIA DECISION-MAKING BASED APPROACHES IN WEBSITE QUALITY AND USABILITY EVALUATION: A SYSTEMATIC REVIEW
Authors: Adepoju Solomon Adelowo , Oyefolahan Ishaq Oyebisi , Abdullahi Muhammed Bashir , Mohammed Adamu Alhaji
Published: July 2020

Websites are important in every organisation and tremendous effort is made to design websites that not only look and feel good, but are usable and of high quality. Nevertheless, one critical task is how to evaluate these websites to ensure that users are satisfied with its quality and usability. Although a variety of methods and approaches have been proposed, there is currently an increase in research efforts to model website quality and usability evaluation from the point of view of decision-makers which existing methods do not handle. Thus, this has led to the application of multi-criteria decision-making (MCDM) approaches in the evaluation of websites to handle complexity in decision-making. This paper, therefore, provides a review of the various MCDM methods that have been used in the usability and quality evaluation of websites. The search strategy which was adopted identified a total of 63 published articles in peer-reviewed journals and international conferences between 2005 and 2017. From the research questions formulated for the study, the papers were classified into various MCDM approaches, website genre, number and list of criteria used over the years and the localization of websites based on country. Some of the findings showed that the Analytical Hierarchy Process approach integrated with fuzzy logic has been the most common method over the years. In addition, e-commerce websites make up the most common website genre. Besides, currently most active websites are from Turkey and five is the average number of criteria for the evaluation of website quality and usability.
SMART CITY SECURITY: FACE-BASED IMAGE RETRIEVAL MODEL USING GRAY LEVEL CO-OCCURRENCE MATRIX
Authors: Rashid Abdullah Mohammed , Yassin Ali A. , Abdel Wahed Ahmed A. , Yassin Abdulla J.
Published: July 2020

Nowadays, a lot of images and documents are saved on data sets and cloud servers such as certificates, personal images, and passports. These images and documents are utilized in several applications to serve residents living in smart cities. Image similarity is considered as one of the applications of smart cities. The major challenges faced in the field of image management are searching and retrieving images. This is because searching based on image content requires a long time. In this paper, the researchers present a secure scheme to retrieve images in smart cities to identify wanted criminals by using the Gray Level Co-occurrence Matrix. The proposed scheme extracts only five features of the query image which are contrast, homogeneity, entropy, energy, and dissimilarity. This work consists of six phases which are registration, authentication, face detection, features extraction, image similarity, and image retrieval. The current study runs on a database of 810 images which was borrowed from face94 to measure the performance of image retrieval. The results of the experiment showed that the average precision is 97.6 and average recall is 6.3., Results of the current study have been relatively inspiring compared with the results of two previous studies.
IDENTIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI PRESTASI BELAJAR MAHASISWA PROGRAM STUDI PENDIDIKAN MATEMATIKA PADA MATA KULIAH KALKULUS LANJUT TAHUN 2018
Authors: Suddin Sulasri
Published: July 2020

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi prestasi belajar mahasiswa Program Studi Pendidikan Matematika pada mata kuliah Kalkulus Lanjut. Subyek dalam penelitian ini adalah mahasiswa Program Studi Pendidikan Matematika yang memprogramkan mata kuliah Kalkulus Lanjut  Tahun Akademik 2018 sejumlah 59 mahasiswa. Data dikumpulkan melalui angket dengan penilaian menggunakan modifikasi skala likert yang terdiri dari 5 pilihan jawaban. Jumlah item pernyataan dalam angket penelitian sebanyak 20 butir. Analisis data dilakukan dengan menggunakan pengujian regresi linier berganda melalui program SPSS for Windows versi 22.0. Berdasarkan hasil penelitian diperoleh bahwa faktor internal lebih dominan berpengaruh signifikan dan positif terhadap prestasi belajar mahasiswa program studi pendidikan matematika dibandingkan faktor eksternal. Lebih lanjut, faktor internal dan faktor eksternal berpengaruh signifikan secara simultan atau bersama-sama terhadap prestasi belajar mahasiswa program studi pendidikan matematika
APAKAH THINK-PAIR-SHARE DAPAT MENGURANGI KECEMASAN MATEMATIKA SISWA SMP?
Authors: Wua Laja Yosepha Patricia , Retnawati Heri
Published: July 2020

Kecemasan yang dialami para siswa dapat mempengaruhi bagaimana siswa tersebut berpikir, bertindak dan berhubungan dengan pelajaran matematika. Salah satu solusi yang digunakan untuk mengurangi kecemasan matematika siswa adalah dengan menerapkan suatu teknik pembelajaran kooperatif think-pair-share. Teknik ini diawali dengan berpikir tentang jawaban atas pertanyaan yang diajukan oleh guru, berpasangan untuk mendiskusikan jawaban dan berbagi dalam kelompok yang lebih besar. Oleh karena itu, tujuan penelitian ini untuk melihat apakah teknik think-pair-share dapat mengurangi kecemasan matematika siswa SMP. Penelitian ini merupakan penelitian tindakan kelas model spiral Kemmis dan Tanggart yang terdiri dari dua siklus dengan tahap awal menyusun target pencapaian indicator keberhasilan penelitian. Hasil penelitian menunjukan bahwa rata-rata kecemasan siswa pada kondisi awal sebesar 96 (Tinggi), kemudian menurun menjadi 85 (Tinggi) pada siklus I dan 73 (Sedang) di akhir siklus II. Sedangkan presentase keterlaksanaan pembelajaran dengan teknik think-pair-share pada akhir siklus I sebesar 75,5% dan pada akhir siklus II sebesar 87%. Hal ini mengindikasikan bahwa dengan memberikan tindakan berbagi jawaban dan menjelaskan di depan kelas bersama pasangan kepada teman-teman lain pada penerapan pembelajaran kooperatif teknik think-pair-share dapat mengurangi kecemasan matematika siswa SMP.
ANALISIS KEMAMPUAN BERHITUNG DENGAN TEORI VAN DEN HEUVEL-PANHUIZEN
Authors: Nahak Selestina , Salsinha Cecilia Novianti
Published: July 2020

Cabang Matematika yang tidak akan pernah lepas dari kehidupan manusia adalah aritmatika. Aritmatika memuat kemampuan dasar yang mana dengan kemampuan itu siapapun akan dimudahkan ketika melakukan aktivitas apapun yang membutuhkan perhitungan. Namun ada saat dimana perhitungan pasti tidak diperlukan. Hal ini dapat diselesaikandengan melakukan estimasi berhitung sehingga kemampuan ini harus dimilikidimulai dari usia sekolah. Namun, kenyataannya beberapa penelitian menunjukkan bahwa siswa lebih baik dalam berhitung untuk mendapatkan nilai pasti daripada melakukan estimasi. Berdasarkan penelitian mengenai kemampuan estimasi berhitung yang dilakukan pada siswa SMP, SMA dan Mahasiswa di Kefamenanu dengan memanfaatkan Teori Van den Heuvel-Panhuizen diperoleh hasil bahwa pada tingkat mahasiswa strategi estimasi yang muncul adalah strategi Front-end dan strategi berhitung mental yang biasanya dimiliki oleh orang-orang yang pandai berhitung. Sedangkan siswa SMA dan SMP cenderung melakukan strategi pembulatan ke ribuan terdekat. Adapun kesalahan yang muncul yaitu siswa masih menggunakan cara berhitung pasti ketika berhadapan dengan masalah estimasi berhitung.
IMPLEMENTASI PEMBELAJARAN MATEMATIKA REALISTIK DALAM MENINGKATKAN HASIL BELAJAR OPERASI PENGURANGAN BILANGAN CACAH
Authors: Noor Nur Alim , Muslimah Muslimah
Published: July 2020

This study aim was to improve the learning results of chopping numbers operation through realistic mathematics learning in one Elementary School at Cipondoh-Tangerang City. This is a Class Action Research according to Kemis model, as many as 3 cycles. The research subjects were 27 students. The results of the study showed that there was an increase in the KKM value. In the first cycle with a student KKM percentage value reaching 52%. The second, increasing in KKM was 69.2%. While the third was 85.2%. The realistic mathematical approach can also improve student learning activities, on the average score of 2.5 or 63% in the first cycle, to 3.0 or 75% in the second cycle, and continues to increase to 3.5 or 87% in the third cycle. Based on the study result, it can be concluded that learning through realistic mathematic learning can improve the mathematics learning results of chopping numbers.
IDENTIFIKASI KESALAHAN-KESALAHAN SISWA DALAM MENYELESAIKAN SOAL CERITA PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL BERDASARKAN PROSEDUR NEWMAN
Authors: Habibah Ayu , Nandang Nandang , Sudirman Sudirman
Published: July 2020

Penelitian ini bertujuan untuk mengetahui kesalahan-kesalahan siswa dalam menyelesaikan soal cerita pada materi Sistem Persamaan Linear Dua Variabel berdasarkan prosedur Newman dan faktor-faktor penyebab siswa melakukan kesalahan tersebut. Jenis penelitian yang digunakan adalah penelitian kualitatif. Subjek dalam penelitian ini adalah siswa kelas X SMKN Balongan sebanyak 3 orang, yang melakukan kesalahan dalam menyelesaikan soal cerita pada materi Sistem Persamaan Linier Dua Variabel. Berdasarkan hasil penelitian ditemukan bahwa kesalahan yang banyak dilakukan ialah pada tahap keterampilan proses dan penulisan jawaban akhir. Adapun faktor-faktor yang menyebabkan kesalahan siswa dalam menyelesaikan soal cerita tersebut karena tidak terbiasa menyelesaikan soal dengan menggunakan prosedur Newman. Siswa kurang memahami dalam mengubah makna kata ke dalam model matematika. Siswa kurang latihan mengerjakan soal cerita.
METODE KUBUS RINGKASAN TAKSONOMI BLOOM BERBASIS MIND MAPPING UNTUK MENINGKATKAN HIGH ORDER THINGKING SKILL (HOTS) GUNA PENGEMBANGAN LITERASI MATEMATIKA DAN MENDUKUNG KECAKAPAN ABAD 21
Authors: Nugroho Albertus Tuhu Setyo
Published: July 2020

Kemampuan berpikir tingkat tinggi ini biasanya diperlukan untuk memecahkan permasalahan dan persoalan yang sifatnya abstrak dan memerlukan pemahaman secara mendalam, salah satunya adalah matematika. Namun kenyataannya dari fakta yang ada sangat disayangkan, kemampuan matematika di Indonesia masih tergolong rendah. Pada hakikatnya High Order Thinking Skills (HOTS) sebagai suatu pemikiran yang terjadi pada tingkat tinggi dalam suatu proses kognitif. Maka dari itu tujuan dari penulisan karya ilmiah ini yaitu untuk mengetahui penerapan dan pengaruh penerapan metode Kubus Ringkasan Taksonomi Bloom berbasis Mind Mapping pada pembelajaran matematika guna meningkatkan High Order Thinking Skill (HOTS). Metode penulisan karya tulis ini menggunakan studi literatur dan eksperimen. Data dikumpulkan menggunakan metode kepustakaan, metode dokumentasi, dan metode tes. Kemudian data dianalisis secara kualitatif dan kuantitatif. Berdasarkan hasil analisis diperoleh bahwa terdapat perbedaan rata-rata antara kelompok kontrol dengan kelompok eksperimen yang menerapkan metode Kubus Ringkasan Taksonomi Bloom berbasis Mind Mapping terlihat bahwa nilai sig. (2-tailed) sebesar 0,00 < 0,05. Sedangkan penerapan metode Kubus Ringkasan Taksonomi Bloom berbasis Mind Mapping ini terdiri dari tiga tahap yaitu persiapan alat dan bahan, membuat, dan menggunakan dalam pembelajaran matematika.