bluuebunny/crossref_metadata_2025 huggingface dataset:
ACADEMIC PROCRASTINATION OF COLLEGE STUDENTS
Authors: Amin Grace
Published: March 2020

Penundaan atau prokastinasi dapat diartikan sebagai kecenderungan menunda pengerjaan atau penyelesaian suatu tugas atau aktifitas. Ada banyak factor yang empengaruhi penundaan akademik seperti kecanduan internet, self – efficacy, manajemen waktu, motivasi dan stress. Salah satu dampak dari penundaan akademik adalah hasil akademik. Tujuan dari penelitian ini adalah untuk menganalisa factor yang mempengaruhi academic procrastination diantara mahasiswa di wilayah Cikarang – Bekasi. Peneliti menganalisa data yang didapatkan dari hasil 139 mahasiswa yang telah mengisi kuesioner menggunakan metode analisis jalur – PLS. Sampel yang digunakan dalam penelitian ini adalah mahasiswa angkatan 2016 – 2019. Hasil dari penelitian ini menunjukkan bahwa sebagian besar hipotesis yang diajukan diterima. Beberapa hipotesis menyatakan bahwa kecanduan internet tidak memiliki dampak yang signifikan terhadap manajemen waktu, kecanduan internet tidak memiliki dampak yang signifikan terhadap academic procrastination melalui manajemen waktu, motivasi tidak memiliki dampak yang signifikan terhadap academic procrastination, Stress tidak memiliki dampak yang signifikan terhadap manajemen waktu dan stress tidak memiliki dampak signifikan terhadap academic procrastination melalui manajemen waktu. Procrastination refers to intentionally delay in the beginning or completion of due tasks or activities. There are many factors influencing academic procrastination, such as internet addiction, self – efficacy, time management, motivation and stress. One of the impacts of academic procrastination is academic performance. The purpose of this research is to analyze factors influence procrastination among college students in Cikarang – Bekasi. Researcher analyzed data that gathered from 139 students filled the questionnaire, using path analysis – PLS. Sample in this research were college students batch 2016 – 2019. The result of this research show that most of proposed hypotheses in the model were accepted. Some hypotheses stated that Internet Addiction has no significant effect on time management, Internet Adiction has no significant indirect effect on academic procrastination through time management, Motivation has no significant effect on academic procrastination, Stress has no significant effect on time management and stress has no significant effect on academic procrastination through time management.
La innovación como clave para que la industria ornamental trascienda en el estado de Veracruz
Authors: Hernández Marañón Felipe
Published: March 2020

En la actualidad la industria ornamental en Veracruz atraviesa un proceso de transición, de empresas familiares a negocios inteligentes para enfrentar el mercado nacional. El objetivo del presente trabajo es determinar los aspectos que se requieren para poder implementar una microempresa ornamental, la metodología consta de ocho fases, hechas para emprendedores. Los resultados del trabajo son el establecimiento de una microempresa productora y comercializadora de plantas dracenas miniatura, la cual contribuirá a satisfacer la demanda existente en el mercado ornamental.
El impacto de la volatilidad en la funcionalidad de las criptomonedas
Authors: Altamirano Vásquez Margarita , López Castro Elda Magdalena , Santamaría Vicarte Gloria Virginia , Hernández Trejo Lorena
Published: March 2020

A pesar de que la funcionalidad original de las criptomonedas consistía en su participación en transacciones en banca, mercados financieros y servicios gubernamentales, entre otros, la volatilidad que las caracteriza ha retrasado tanto su aceptación entre los inversionistas como su entrada a las pasarelas de pago. Sin embargo, las debilidades actuales de las criptomonedas son lo que da origen a su evolución constante y a su fortalecimiento en el mundo.
Identifikasi Kadar Ion Fluorida pada Depot Air Minum Isi Ulang di Kelurahan Lubuk Buaya
Authors: Wirza Afifah Aqilatul Faridah Putri , Kadri Husnil , Sy Elmatris
Published: March 2020

Berdasarkan Permenkes No.492/2010 tentang persyaratan kualitas air minum, fluorida merupakan bahan kimia anorganik yang berhubungan langsung dengan kesehatan dan kadar maksimum yang diperbolehkan adalah 1,5 mg/L. Fluorida memiliki efek menguntungkan untuk mencegah karies gigi pada kadar yang sesuai, tapi menjadi berbahaya apabila diatas 1,5 mg/L. Tujuan penelitian ini adalah untuk mengidentifikasi kadar ion fluorida dalam sampel air minum isi ulang di Lubuk Buaya Padang. Jenis penelitian ini adalah deskriptif kuantitatif terhadap populasi seluruh Depot Air Minum Isi Ulang (DAMIU) yang berada di Kelurahan Lubuk Buaya Kecamatan Koto Tangah Kota Padang yaitu sebanyak 17 buah. Teknik pengambilan sampel adalah total sampling. Penelitian ini telah dilaksanakan dari Agustus 2017 sampai Februari 2018. Analisis sampel dilakukan di UPT Balai Laboratorium Kesehatan Provinsi Sumatera Barat. Hasil pemeriksaan konsentrasi fluorida pada sampel bervariasi antara <0,02 sampai 0,277 mg/L. Simpulan dari penelitian ini adalah rentang konsentrasi fluorida pada air minum isi ulang di Kelurahan Lubuk Buaya masih dalam batas yang diperbolehkan berdasarkan Permenkes No.492/2010.
Hubungan Tingkat Osteoporosis Berdasarkan Indeks Singh dan Fraktur Leher Femur Akibat Low Energy Trauma di Beberapa Rumah Sakit di Padang Tahun 2016-2018
Authors: Taradita Wulandari , Rahmadian Rizki , Sahputra Roni Eka
Published: March 2020

Osteoporosis merupakan penurunan kepadatan tulang dan kerusakan mikro-arsitektur tulang yang menyebabkan tulang menjadi rapuh sehingga seringkali baru disadari apabila telah terjadi perubahan bentuk tulang ataupun fraktur, terutama fraktur leher femur dan panggul karena trauma.Indeks Singh adalah suatu metode untuk menilai osteoporosis menggunakan pola trabekula tulang di femur proksimal. Tujuan penelitian ini adalah mengetahui hubungan tingkat osteoporosis berdasarkan Indeks Singh dan fraktur leher femur akibat low energy trauma di beberapa Rumah Sakit di Padang tahun 2016-2018. Penelitian ini merupakan analitik dengan desain cross sectional. Sampel berupa 22 foto polos pelvis (x-ray) pasien dari bagian rekam medis Poliklinik RSUP Dr. M. Djamil Padang dan RST Dr. Reksodiwiryo Padang dari Januari 2016 sampai April 2018. Hasil penelitian menunjukkan bahwa fraktur leher femur karena low energy trauma didominasi oleh perempuan (72,7%) dan usia diatas 70 tahun (45,5%). Tingkat osteoporosis berdasarkan indeks Singh terbanyak pada grade A (40,9%) dan mayoritas fraktur leher femur pada klasifikasi Garden tipe 4 (77,3%). Tidak terdapat hubungan yang bermakna antara tingkat osteoporosis berdasarkan indeks Singh dengan fraktur leher femur akibat low energy trauma (p = 0,483).
Gambaran Sitologi Eksfoliatif Pada Apusan Mukosa Mulut Murid SD Negeri 13 Sungai Buluh Batang Anai Padang Pariaman
Authors: Rahmawati Athika , Tofrizal Tofrizal , Yenita Yenita , Nurhajjah Siti
Published: March 2020

Sitologi eksfoliatif bertujuan untuk melihat keadaan sel terdeskuamasi. Secara fisiologis, sel-sel permukaan terus menerus terdeskuamasi karena jaringan tubuh terus mengalami pembaruan. Sitologi eksfoliatif dapat dilakukan di jaringan lunak rongga mulut seperti mukosa bukal, gingiva, labial dan lidah. Tujuan penelitian ini adalah mengetahui gambaran sitologi eksfoliatif pada apusan mukosa mulut murid Sekolah Dasar. Studi deskriptif ini dilakukan dengan metode cross sectional di SD Negeri 13 Sungai Buluh Kecamatan Batang Anai Kabupaten Padang Pariaman dan Laboratorium Patologi Anatomi Fakultas Kedokteran Universitas Andalas dari bulan Oktober 2017-Mei 2018. Pengambilan sampel dilakukan secara total sampling dengan jumlah 38 orang. Hasil penelitian mendapatkan jenis leukosit pada apusan mukosa mulut adalah netrofil segmen (69,4%), limfosit (13,3%), netrofil batang (10%), dan dalam jumlah kecil monosit, dan eosinofil. Didapatkan variasi dari kepadatan leukosit pada sampel mulai dari 2 sel per lapang pandang hingga 194 sel per lapang pandang, dengan jumlah rerata seluruh sampel dalam 5 lapang pandang sebanyak 25 sel. Jenis sel epitel pada apusan mukosa mulut adalah sel intermediet (58,9%), superfisial (37,2%), dan dalam jumlah kecil parabasal, dan basal. Simpulan studi ini ialah jenis leukosit yang paling dominan adalah netrofil segmen dengan kepadatan leukosit bervariasi dan sel epitel yang paling dominan adalah sel intermediet.
EL HABEAS DATA EN EL CONTEXTO DE LOS DERECHOS DIGITALES Y LOS “VULNERABLES” TECNOLÓGICOS. UNA TUTELA PROCESAL DIFERENCIADA
Authors: BRACESCO IGNACIO M. SOBA
Published: March 2020

Las pretensiones vinculadas a la temática del habeas data propio (protección de datos personales) e impropio (acceso a la información pública) exigen de herramientas procesales idóneas y efectivas para su sustanciación. La consagración de tutelas procesales diferenciadas en el Derecho procesal uruguayo (Leyes N° 18.331 y 18.381 y modificativas) es un ejemplo de ello. Allí se establece un proceso de tipo sumario, especial y autónomo para la sustanciación de pretensiones referentes al habeas data propio e impropio. Se trata, en definitiva, de reflexionar acerca de la efectividad de los derechos digitales de las personas, en un contexto en el cual nos encontramos ante una multitud de sujetos vulnerables desde el punto de vista tecnológico.
DIREITO ADMINISTRATIVO E JUSTIÇA SOCIAL
Authors: Vázquez Cristina
Published: March 2020

O presente estudo realiza o exame do conceito de “justiça social” no âmbito das organizações internacionais e revela sua importância para o Direito Administrativo. Em seguida, é analisado o conceito de direitos sociais e sua exigibilidade no contexto do sistema de proteção social no Uruguai. Por fim, este artigo conclui que o direito à educação trata-se de um “direito habilitante” para a obtenção de uma verdadeira justiça social.
Machine Learning Transition Temperatures from 2D Structure
Authors: Sifain Andrew , Yalkowsky Samuel , Rice Betsy , Barnes Brian
Published: March 2020

A priori knowledge of melting and boiling could expedite the discovery of pharmaceutical, energetic, and energy harvesting materials. The tools of data science are becoming increasingly important for exploring chemical datasets and predicting material properties. A fundamental part of data-driven modeling is molecular featurization. Herein, we propose a molecular representation with group-constitutive and geometrical descriptors that map to enthalpy and entropy--two thermodynamic quantities that drive thermal phase transitions. The descriptors are inspired by the linear regression-based quantitative structure-property relationship of Yalkowsky and coworkers known as the Unified Physicochemical Property Estimation Relationships (UPPER). Combined with nonlinear machine learning (specifically, eXtreme Gradient Boosting or XGBoost), these concise and easy-to-compute descriptors provide an appealing framework for predicting transition enthalpies, entropies, and temperatures in a diverse chemical space. An application to energetic materials shows that UPPER plus XGBoost is predictive, despite a relatively modest energetics reference dataset. We also report results on public datasets of melting points (i.e., OCHEM, Enamine, Bradley, and Bergstrom). The newly proposed representation is determined purely from SMILES string, thus showing promise toward fast and accurate screening of thermodynamic properties.
The Use of Kriging Within the SCF Procedure
Authors: Ritterhoff Christian L.
Published: March 2020

Project report on using Kriging for SCF orbital optimization.
Design Considerations for Oligo(p-Phenyleneethynylene) Organic Radicals in Molecular Junctions
Authors: Zöllner Martin Sebastian , Nasri Rukan , Zhang Haitao , Herrmann Carmen
Published: March 2020

Spin polarization in the electron transmission of radicals is important for understanding single-molecule conductance experiments focusing on shot noise, Kondo properties or magnetoresistance. We study how stable radical substituents can affect such spin polarization when attached to oligo(p- phenyleneethynylene) (OPE) backbones. We find that it is not straightforward to translate the spin density on a stable radical substituent into spin-dependent transmission for the para-connected wires under study here, owing to increased steric interactions compared with meta-connected wires, and a resulting twisting of the radical substituent and OPE π systems. The most promising example is a t-butyl nitroxide substituent, which, despite little pronounced spin delocalization onto the backbone, yields a spin-dependent transmission feature which one might be able to shift towards the Fermi energy by additional substituents. We also find that for bulkier substituents, dispersion interactions with the substituent can lead to twisting of one of the outer OPE rings, reducing the overall conductance. As a further potential design consideration, attaching radicals via linkers might increase the possibilities for spin-dependent intermolecular and molecule-electrode interactions.
Identification of Prime Factors to Maximize the Photocatalytic Hydrogen Evolution of Covalent Organic Frameworks
Authors: Ghosh Samrat , Nakada Akinobu , Springer Maximilian A. , Kawaguchi Takahiro , Suzuki Katsuaki , Kaji Hironori , Baburin Igor , Kuc Agnieszka , Heine Thomas , Abe Ryu , Seki Shu
Published: March 2020

Visible light driven hydrogen (H2) production from water is a promising strategy to convert and store solar energy as chemical energy. Covalent organic frameworks (COFs) are front runners among different classes of organic photocatalyst, owing to their tunable porosity, crystallinity, optical and electronic properties. Photocatalytic activity of COFs depends on numerous factors such as band gap, crystallinity, porosity, exciton migration, charge separation and transport, stability etc. However, it is challenging to fine tune all these factors simultaneously to enhance the photocatalytic activity. Hence, in this report, we have prioritized the key factors for efficient photocatalytic H2 production through structure–property–activity relationship combined with microwave spectroscopy and first–principles calculations. Careful molecular engineering allowed us to tune the light absorption (i.e. band gap), crystallinity, porosity, layer stacking and charge carrier generation and transport of a series of isoreticular COFs. We have assessed how these properties and the interplay between them impact photocatalytic activity of studied COFs. From the structure–property–activity relationship, we found that light absorption and charge carrier generation and transport are the prime factors, which influence the photocatalytic H2 production of COFs in much greater extent than other factors.
The Sociopragmatic Perspective of Typographical Features in Students’ SMS and Whatsapp Text Messages
Authors: Iskandar Ifan
Published: March 2020

This study aims to examine the typographical features of English and Indonesian languages in students’ text messages delivered to the lecturers and the sociopragmatic perspective of the features collected from respondents of diverse profession and education backgrounds. Content analysis is employed to conduct the study whose data are the typographical features identified in 1,521 students’ SMS and that of in 527 WhatsApp text messages and followed by a survey of sociopragmatic attitudes towards the features gathered from 223 respondents. The findings recognize the typographical features of emoticons, vowel deletion, letter deletion, rebus writings—letter deletion, number deletion, letter-number deletion, and images or symbols—and phonetic spelling. The features are employed in various approaches as identified in the ways letters are deleted in the initial, medial and final syllables of the words. Social factor and dimension analyses underpinning the sociopragmatic perspective of the features suggests that the students communicate with older participants in written mode about serious matters for informative function and that the students and lecturers are socially distant between subordinate to superior with high formality degree for referential function which is high information content and low affective content. This social factor and dimension implies the use of formal style which is in line with the respondents’ attitudes acknowledging the formal employment of the language in text messaging.  Sociopragmatically, the typographical features are supposed to be used only when texting to the equally aged or younger participants, to the participants who are socially equal or lower with no distance, and for social communication functions or topics, not professional ones
If You Can Program, You Can Write: Learning Introductory Programming Across Literacy Levels
Authors: R Hassenfeld Ziva , Govind Madhu , E De Ruiter Laura , Umashi Bers Marina
Published: March 2020

Aim/Purpose: This paper presents findings on a curricular intervention aimed at integrating computer programming with reading and writing in early elementary school. The purpose of this research was to explore the relation between students’ varying literacy levels and their level of success in mastering an introductory programming language.

Methodology: This curricular intervention study was implemented in a single school district in southeastern Virginia. Of the district’s 33 elementary schools, eight schools received an external grant from the U.S. Department of Defense to introduce computer science in early elementary education. Standardized literacy test scores were correlated with internally developed, and age appropriate programming assessment scores from N = 132 second grade students.

Contribution: This study is the first of its kind to look at how students at varying literacy levels succeed in mastering an introductory programming language when introduced through a literacy lens.

Findings: The findings indicated that there was strong evidence for a weak, positive correlation between students’ literacy levels, as determined by the PALS assessment, and their programming mastery, as determined by the curricular programming assessments. The positive correlation suggests that there may indeed be underlying constructs that overlap between literacy and programming.

Recommendations for Practitioners: Consider integrating computer programming as a foundational component of the literacy curriculum, especially in the early grades, where the two skill sets can mutually support one another.

Recommendation for Researchers: Additional research is necessary, using a variety of literacy and programming measures, to continue to understand the relationship between emerging literacy and emerging computer programming skills.

Impact on Society: Reimagining computer programming as a language has significant implications for how we teach programming in schools and how students then use programming out in the workforce.

Future Research: Future work will repeat this curricular intervention with younger students: the district’s first grade and kindergarten classrooms. Introducing programming through the Coding as Literacy (CAL) approach even earlier in students’ literacy trajectories, we believe, will allow the positive impact of programming knowledge to influence students’ literacy development. In this next phase of our research agenda, we will collect pre and post literacy scores, both standardized and internally developed, to see the myriad ways that programming knowledge impacts literacy.
Study a Structural Behavior of Eccentrically Loaded GFRP Reinforced Columns Made of Geopolymer Concrete
Authors: Nhabih Hussein Talab , Hussein Ahmed M. , Salman Marwa Marza
Published: March 2020

This study investigated a modern composite material, which is a short geopolymer concrete column (GPCC) reinforced by GFRP bars. The structural performances of GPCC subjected to eccentric load were studied and compared to the normal strength concrete column (NSCC) reinforced by steel bars. In this study, the primary experimental parameters were the reinforcement bars types, load eccentricity, and concrete types. Seven short columns were tested: three normal strength concrete columns reinforced by steel bars, three geopolymer concrete columns reinforced by GFRP bars and one normal strength concrete column without reinforcement. The model dimensions chosen in the present study was a square section of 130×130 mm and a total height of 850 mm. It was shown that the steel bars contribute about 16.47% of column capacity under concentric load. Comparing with the normal strength concrete column, a geopolymer concrete column reinforced by GFRP bars showed a little increase in ultimate load (5.17%) under concentric load. Under the load eccentricity of 130 mm, a geopolymer concrete column reinforced by GFRP bars showed a significant increase in the ultimate load (69.37%). Under large eccentricity, a geopolymer concrete column reinforced by GFRP bars has an outstanding effect on the columns' ultimate load capacity. Also, the sine form can be utilized for GPCC to find the lateral deflection along with the column high at different load values up to the failure.
Predictive Analytics for Roadway Maintenance: A Review of Current Models, Challenges, and Opportunities
Authors: Karimzadeh Arash , Shoghli Omidreza
Published: March 2020

With the pressing need to improve the poorly rated transportation infrastructure, asset managers leverage predictive maintenance strategies to lower the life cycle costs while maximizing or maintaining the performance of highways. Hence, the limitations of prediction models can highly impact prioritizing maintenance tasks and allocating budget. This study aims to investigate the potential of different predictive models in reaching an effective and efficient maintenance plan. This paper reviews the literature on predictive analytics for a set of highway assets. It also highlights the gaps and limitations of the current methodologies, such as subjective assumptions and simplifications applied in deterministic and probabilistic approaches. This article additionally discusses how these shortcomings impact the application and accuracy of the methods, and how advanced predictive analytics can mitigate the challenges. In this review, we discuss how advancements in technologies coupled with ever-increasing computing power are creating opportunities for a paradigm shift in predictive analytics. We also propose new research directions including the application of advanced machine learning to develop extensible and scalable prediction models and leveraging emerging sensing technologies for collecting, storing and analyzing the data. Finally, we addressed future directions of predictive analysis associated with the data-rich era that will potentially help transportation agencies to become information-rich.
Transformation Methodology of Binary Executables to Run on Bare Machines
Authors: Ordouie Navid , Almajed Rasha , Karne Ramesh , Wijesinha Alexander , Weymouth Joel , Soundararajan Nirmala
Published: March 2020

This paper identifies challenges involved in the transformation of binary executables to run on bare machines such as PCs. It also addresses why we want to transform binary executables to run on bare machines. Text processing applications such as “vi,” “word,” and “notepad” are chosen to illustrate the need for transformation because these editors are the most commonly used across many operating system platforms, including Windows and Linux. They have much functionality in common to provide a general text processing application. Why not consolidate these standard functions and develop a generic text processing application? How do you make these editors without any platform dependencies? Transforming these applications to run on bare PCs or bare machines by using source or a binary level transformation will address these challenges. A binary transformation methodology described here lays the groundwork for further research in this area and provides some insight into the transformation process.
Adversarial Machine Learning: Difficulties in Applying Machine Learning to Existing Cybersecurity Systems
Authors: Rahimi Nick , Maynor Jordan , Gupta Bidyut
Published: March 2020

Machine learning is an attractive tool to make use of in various areas of computer science. It allows us to take a hands-off approach in various situations where previously manual work was required. One such area machine learning has not yet been applied entirely successfully is cybersecurity. The issue here is that most classical machine learning models do not consider the possibility of an adversary purposely attempting to mislead the machine learning system. If the possibility that incoming data will be deliberately crafted to mislead and break the machine learning system, these systems are useless in a cybersecurity setting. Taking this into account may allow us to modify existing security systems and introduce the power of machine learning to them.
Optimize Neural Network Algorithm of Missing Value Imputation for Clustering Chocolate Product Types Following “STEAMS” Methodology
Authors: Chen Mason , Chen Charles
Published: March 2020

“STEAMS” (Science, Technology, Engineering, Artificial Intelligence, Math, Statistics) approach was conducted to handle the missing value imputation of clustering Chocolate Science patterns. Hierarchical clustering and Dendrogram were utilized to cluster the commercial chocolate products into different product groups which can indicate the nutrition compositions and product health. To further handle the missing value imputation, Neural Network algorithm was utilized to predict the missed Cocoa% based on the other available Nutrition components. The Hyperbolic Tangent activation function was used to create the hidden layer with three nodes. Neural networks are very flexible models and tend to over-fit data. Definitive Screening Design (DSD) was conducted to optimize the Neural setting in order to minimize the over-fit concern. Both the Goodness Fit of Training set and Validation set can reach 99% R-Square. The Profiler Sensitivity analysis has shown that the Chocolate Type and Vitamin C are the most sensitive factors to predict the missed Cocoa%. The results also indicated that the “Fruit” Chocolate shall be added as the 4th Chocolate Type. The Neural Black-Box algorithm can reveal the hidden Chocolate Science and Product. This paper has demonstrated the power of using the Engineering DOE and Neural Network (AI) algorithm through “STEAMS”.
Zero-skipping in CapsNet. Is it worth it?
Authors: Sharifi Ramin , Shiri Pouya , Baniasadi Amirali
Published: March 2020

Capsule networks (CapsNet) are the next generation of neural networks. CapsNet can be used for classification of data of different types. Today’s General Purpose Graphical Processing Units (GPGPUs) are more capable than before and let us train these complex networks. However, time and energy consumption remains a challenge. In this work, we investigate if skipping trivial operations i.e. multiplication by zero in CapsNet, can possibly save energy. We base our analysis on the number of multiplications by zero detected while training CapsNet on MNIST and Fashion- MNIST datasets.
Mapping and visualization of publication networks of public university faculty in computer science and electrical engineering
Authors: Carroll Conor , Garg Nupur , Migler Theresa , Walker Barbara , Wood Zoë
Published: March 2020

We present our process and development of a web-based system to explore the publication networks of faculty in California public universities in the fields of computer science and electrical engineering. Our project explores collaboration networks in the fields of computer science and electrical engineering with a focus on publication networks and an analysis of these collaborations with a focus on geospatial organization (which institutions are collaborating with which other institutions). We present our data gathering process, which relies on the Scopus[9] database (Scopus represents a “comprehensive overview of the world’s scientific research output across all disciplines”), and we present the development of a web-based tool using python and the Google Maps API [12] in order to allow visualizations and explorations of geospatial structures of the publications networks. These visualizations drove further network analysis, which we present here as well.
On relationships between imbalance and overlapping of datasets
Authors: Almutairi Waleed , Janicki Ryszard
Published: March 2020

The paper deals with problems that imbalanced and overlapping datasets often en- counter. Performance indicators as accuracy, precision and recall of imbalanced data sets, both with and without overlapping, are discussed and compared with the same performance indicators of balanced datasets with overlapping. Three popular classification algorithms, namely, Decision Tree, KNN (k-Nearest Neighbors) and SVM (Support Vector Machines) classifiers are analyzed and compared.
Threats and Alert Analytics in Autonomous Vehicles
Authors: Rastogi Aakanksha , Nygard Kendall
Published: March 2020

Autonomous vehicles or self-driving cars emerged with a promise to deliver a driving experience that is safe, secure, law-abiding, alleviates traffic congestion and reduces traffic accidents. These self-driving cars predominantly rely on wireless technology, vehicular ad-hoc networks (VANETs) and Vehicle to Vehicle (V2V) networks, Road Side Units (RSUs), Millimeter Wave radars, light detection and ranging (LiDAR), sensors and cameras, etc. Since these vehicles are so dexterous and equipped with such advanced driver assistance technological features, their dexterity invites threats, vulnerabilities and hacking attacks. This paper aims to understand and study the technology behind these self-driving cars and explore, identify and address popular threats, vulnerabilities and hacking attacks to which these cars are prone. This paper also establishes a relationship between these threats, trust and reliability. An analysis of the alert systems in self-driving cars is also presented.
Channel-Matched OFDM (CM-OFDM) for Enhanced Performance of Multiuser Systems Operating in Underwater Acoustic Channels
Authors: El-Khamy Said , Ibrahim Dalia
Published: March 2020

The design of multiuser OFDM underwater acoustic (UWA) communication systems is very challenging due to the time-varying and frequency selective fading of UWA channels. The key for ensuring a reliable optimum transmission for every user is the suitable resource assignment for each. This paper proposes a new adaptive channel- matched OFDM scheme (CM-OFDM) to overcome the performance degradation caused by the frequency selective fading across the OFDM subcarriers. In the proposed scheme, the OFDM subcarriers are sorted depending on their corresponding channel gains. Then the resource assignment to the different users is accomplished according to their required quality of service (QOS). The user with the highest QOS is assigned the best subcarriers and the other users are similarly assigned the remaining subcarriers. This optimized resource assignment technique guarantees enhanced performance with no need of increasing the transmitted power or changing the modulation schemes. The performance of the proposed technique is investigated and is compared with uniform and random subcarriers’ assignment methods used for multiuser OFDM systems. The simulations are performed for a multipath frequency selective UWA channel model. The simulation results clearly show the advantages of CM-OFDM scheme for the users with high QOS on the expense of a slight degradation in the performance for the other user with lower QOS.
A Unity Framework for Multi-User VR Experiences
Authors: Novotny Alexander , Gudmundsson Rowan , Harris Frederick
Published: March 2020

We have developed a framework for multi-user Virtual Reality experiences aimed at video games played over a network. Features include tracked avatars, interactable physics objects, peer-to-peer with a user matching system, and voice chat, as well as options to customize these modules for a wide range of support. We go into detail on how several implementation details, such as networking, voice chat, and interaction, work. We also go into detail on how to use the library in Unity for your own projects. We also talk about avatar representation in VR, and how this tool can be used to facilitate many different types of avatar representation.
Metrics and Indicators to evaluate the degree of transformation to Smart City of a city. An Ad-Hoc Quality Model
Authors: Debnath Narayan , Peralta Mario Gabriel , Salgado Carlos Humberto , Roque Luis , Riesco Daniel , Montejano Germán , Mazzi Mouna
Published: March 2020

The extreme levels of intensity with which people live in large urban centers began to affect the productivity and quality of life of cities and their inhabitants, some of which have reached extremes close to collapse, as is the case of traffic congestion in the main cities of the world. On the other hand, from digital innovation and economic development, it is necessary to provide intelligent solutions to current problems, promoting the entrepreneurial ecosystem and the collaborative economy. Each government should administer, manage and update information from each region, and distribute it in the most convenient way to each company or agency that is part of a smart city. To achieve smart cities, we must train digital citizens and take into account the accessibility conditions provided by technology. For this, the implementation of Internet of Things (IoT) at all possible levels is of the utmost importance. From these points of view, mobility has become a central issue of urban development. Its relationship with sustainability issues and its ability to generate competitiveness and quality of life, puts us before the need to rethink its future. These are certain considerations to include in possible models of quality that allow to study the degree of intelligence of the cities. When talking about indicators or metrics, it begins to pose a problem of being able to generalize / extend each of these measures. In this line of research, a board of metrics and indicators has been defined that are applicable to an ad hoc quality model whose objective is to study the degree of intelligence of cities.
Disease Outbreak Detection Using Search Keywords Patterns
Authors: Alsmadi Izzat , Almubaid Zaid , Al-Mubaid Hisham
Published: March 2020

In the recent years, people are becoming more dependent on the Internet as their main source of information about healthcare. A number of research projects in the past few decades examined and utilized the internet data for information extraction in healthcare including disease surveillance and monitoring. In this paper, we investigate and study the potential of internet data like internet search keywords and search query patterns in the healthcare domain for disease monitoring and detection. Specifically, we investigate search keyword patterns for disease outbreak detection. Accurate prediction and detection of disease outbreaks in a timely manner can have a big positive impact on the entire health care system. Our method utilizes machine learning in identifying interesting patterns related to target disease outbreak from search keyword logs. We conducted experiments on the flu disease, which is the most searched disease in the interest of this problem. We showed examples of keywords that can be good predictors of outbreaks of the flu. Our method proved that the correlation between search queries and keyword trends are truly reliable in the sense that it can be used to predict the outbreak of the disease.
AIRRLS: An Augmented Iteratively Re-weighted and Refined Least Squares Algorithm for Inverse Modeling of Magnetometry Data
Authors: Abedi Maysam
Published: March 2020

This work aims to examine the functionality of a new Augmented Iteratively Re-weighted and Refined Least Squares algorithm (AIRRLS) togenerate a 3D model of magnetic susceptibility property from a potentialfield magnetometry survey. Whereby this algorithm ameliorates an lpnorm Tikhonov regularization cost function through replacing a set ofweighted linear system of equations. It leads to constructing a magneticsusceptibility model that iteratively converges to an optimum solution,meanwhile the regularization parameter performs as a stopping criterionto finalize the iterations. To tackle and suppress the intrinsic tendency ofa sought target responsible for generating a magnetic anomaly and to notbe imaged at shallow depth in inverse modeling, a prior depth weightingfunction is imposed in the principle system of equations. The significanceof this research lies in improvement of the performance of the inversion,where the running time of an lp norm problem after incorporating apre-conditioner conjugate gradient solver (PCCG) in cases of large scalegeophysical dataset. Forasmuch as this study attempts to image a geological target with low magnetic susceptibility property, it is assumed thatthere is no remanent magnetization. The applicability of the algorithm istested for a synthetic multi-source data to demonstrate its performancein 3D modeling . Subsequently, a real case study in Semnan provinceof Iran, is investigated to image an embedded porphyry copper layerin a sequence of sediments. The sought target consists of a concealedarc-shaped porphyry andesite unit that may have potential of Cuoccurrences. Results prove that it extends down at depth, so exploratorydrilling is highly recommended to get insights about its potential forCu-bearing mineralization.
Application of integrated formation evaluation and three-dimensional modeling in shale gas prospect identification
Authors: Gao Jin , Cao Zhe , Liu Guangdi , Zhao Longmei , Du Lijun , Kong Yuhua
Published: March 2020

Identifying the shale gas prospect is crucial for gas extraction from suchreservoirs. Junggar Basin (in Northwest China) is widely considered tohave high potential as a shale gas resource, and the Jurassic, the mostsignificant gas source strata, is considered as prospective for shale gasexploration and development. This study evaluated the Lower JurassicBadaowan Formation shale gas potential combined with geochemical,geological, and well logging data, and built a three-dimensional (3D)model to exhibit favorable shale gas prospects. In addition, methane sorption capacity was tested for verifying the prospects. The Badaowan shalehad an average total organic carbon (TOC) content of 1.30 wt. % andvitrinite reflectance (Ro) ranging from 0.47% to 0.81% with dominatedtype III organic matter (OM). X-ray diffraction (XRD) analyses showedthat mineral composition of Badaowan shale was fairly homogeneous anddominated by clay and brittle minerals. 67 wells were used to identifyprospective shale intervals and to delineate the area of prospects. Consequently, three Badaowan shale gas prospects in the Junggar Basin wereidentified: the northwestern margin prospect, eastern Central Depressionprospect and Wulungu Depression prospect. The middle interval of thenorthwestern margin prospect was considered to be the most favorableexploration target benefitted by wide distribution and high lateral continuity. Generally, methane sorption capacity of the Badaowan shale wascomparable to that of the typical gas shales with similar TOC content,showing a feasible gas potential.
The Genetic Mechanism of Inertinite in the Middle Jurassic Inertinite-Rich Coal Seams of the Southern Ordos Basin
Authors: Wang Dongdong , Mao Qiang , Dong Guoqi , Yang Shipeng , Lv Dawei , Yin Lusheng
Published: March 2020

Inertinite is an important type of organic maceral in coal deposits, andalso an important geological information carrier of coal forming environments. In the southern section of the Ordos Basin, the No. 4 inertinite-richcoal seam of the Middle Jurassic Yan’an Formation in the Binchang Coalfield was selected as an example to study the genetic mechanism of theinertinite. In this study, the results obtained from experimental tests ofcoal rock, including principal and trace elements, stable carbon isotopes,scanning electron microscopy, inertinite reflectance, sporopollen andfree radical retorting methods, were analyzed. Then, the findings werecombined with the previous understanding of the oxygen content in theatmosphere and ground fire characteristics, in order to discuss the genesismechanism of inertinite in the No. 4 coal seam. The obtained researchresults were as follows: (1) During the coal forming period of the No. 4coal seam, the overall climate had been relatively dry. There were fourrelatively dry-wet climate cycles in the No.4 coal seam, which werecontrolled by the eccentricity astronomical period. The inertinite contentwere relatively high during the dry periods; (2) The temperature rangesuitable for microorganism activities during the oxidation processes wasbetween 0 and 80℃ . The simulation results of the free radical concentrations showed that the maximum temperature of fusain in the No. 4 coalseam during the process of coalification had not exceeded 300℃ , whichwas significantly higher than the temperature range of microorganismactivities. Therefore, these were not conducive to the activities of microorganism and formation of inertinite during the coal-forming period;(3) The genesis temperature of the inertinite in the No. 4 coal seam wascalculated according to the reflectance of the inertinite, which was lowerthan 400 ℃ . This result supported the cause of wildfire of the inertiniteand reflected that the type of wildfire was mainly ground fire, along withpartially surface fire. Moreover, the paleogeographic location, climaticconditions, atmospheric oxygen concentration, etc. of the study areashowed that the conditions for wildfire events were in fact available; (4)There were dense and scattered fusinite observed in the No. 4 coal seam,and the thickness of cell walls were found to differ. It was speculated thatthis was related to the type of wildfire, combustion temperatures, combustion timeframes, and different initial conditions of the burned objectsduring the coal forming periods.
Penggunaan Strategi Think, Talk, Write (TTW) terhadap Sikap Percaya Diri Siswa Sekolah Dasar
Authors: Tyas Dhuhita Ayuning , Eka Karma Iswasta , Wiarsih Cicih
Published: March 2020

Latar belakang penelitian ini dilatar belakangi oleh rendahnya sikap percaya diri siswa. Siswa belum mampu menunjukkan sikap percaya dirinya pada saat proses pembelajaran berlangsung. Oleh karena itu, penelitian ini bertujuan untuk meningkatkan sikap percaya diri siswa dalam pembelajaran tematik melalui Strategi Think, Talk, Write (TTW). Penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) terdiri dari empat tahapan yaitu perencanaan, pelaksanaan, observasi, dan refleksi. Subjek penelitian yaitu kelas V SD Negeri 1 Sokaraja Wetan berjumlah 27 siswa terdiri dari 14 siswa laki-laki dan 13 siswa perempuan. Penelitian ini menggunakan teknik non tes. Data sikap percaya diri siswa diperoleh pada observasi sikap percaya diri yang diamati setiap pertemuan dan skala sikap percaya diri yang diberikan kepada siswa pada setiap akhir pertemuan setiap siklusnya. Berdasarkan penelitian tersebut hasil skala sikap percaya diri siklus I yaitu memperoleh rata-rata 79,02% dengan kriteria baik dan siklus II memperoleh rata-rata 86,92% dengan kriteria sangat baik. Hal tersebut dapat disimpulkan bahwa dengan menggunakan Strategi Think, Talk, Write (TTW) dapat meningkatkan sikap percaya diri siswa dalam pembelajaran tematik di kelas V SD Negeri 1 Sokaraja Wetan.Kata kunci: Percaya Diri, Pembelajaran Tematik, Strategi Think, Talk, Write.
Penerapan Model Problem Based Learning untuk Meningkatkan Kemampuan Berpikir Kritis dan Sikap Kerjasama di Sekolah Dasar
Authors: Maulida Yulia Nur , Eka Karma Iswasta , Wiarsih Cicih
Published: March 2020

Latar belakang penelitian ini adalah rendahnya kemampuan berpikir kritis dan sikap kerjasama siswa kelas IV SD Negeri 3 Karangnanas. Penelitian ini bertujuan untuk meningkatkan kemampuan berpikir kritis dan sikap kerjasama siswa kelas IV SD Negeri 3 Karangnanas melalui model pembelajaran Problem Based Learning. Jenis penelitian yang digunakan yaitu Penelitian Tindakan Kelas dengan dua siklus. Subjek penelitian ini adalah siswa kelas IV. Instrumen yang digunakan tes dan non tes. Data dikumpulkan dengan menggunakan soal evaluasi dan angket untuk mengetahui peningkatan kemampuan berpikir kritis dan sikap kerjasama siswa. Hasil dari penelitian ini menunjukkan bahwa kemampuan berpikir kritis pada siklus I memperoleh skor rata-rata 3,0 dengan kriteria cukup baik dan siklus II mengalami peningkatan memperoleh nilai rata-rata 3,6 dengan kriteria baik. Peningkatan juga terjadi pada sikap kerjasama siswa yang datanya diambil dari lembar angket pada setiap siklusnya. Hasil yang diperoleh dari angket menunjukkan sikap kerjasama pada siklus I memproleh skor rata-rata 3,20 dengan kriteria baik, kemudian meningkat pada siklus II menjadi 3,63 dengan kriteria sangat baik. Hasil penelitian menunjukkan bahwa penerapan model Problem Based Learning dapat meningkatkan kemampuan berpikir kritis dan sikap kerjasama siswa.Kata kunci: Model pembelajaran, Problem Based Learning, berpikir kritis.
Geographical imagery world of Sofia Yablonska’s travelling literature: modern vision
Authors: Vlakh Myroslava
Published: March 2020

The article analyzes the importance of travel literature in the genre of belles non-fiction for shaping the geographical images of countries and nations. In this aspect, the travel prose of the Ukrainian writer, cinematographer, and photographer Sofia Yablonska (1907–1971) was used.
Genetic types of sensory verbal geographical images, in particular visual, audio, kinaesthetic (based on smell (odoriferous) and touch (tactile)) are distinguished using the travel novels “Charm of Morocco” (1932), “From the country of rice and opium” (1936), and “Far horizons” (1939) as an example. The artistic syncretism of geographical representation of S. Yablonska is noted (verbal images are harmoniously supplemented with photo and film frames, drawings).
The wide spaciousness of the author’s thinking, which extends from specific places to oceanic and celestial infinities, is revealed. The content of S. Yablonska’s travel literature, which is essentially the author’s autobiogeography, is demonstrated by the mega-metaphor of home – the global world is like a native home for her.
The natural and anthropocentric parallels of S. Yablonska’s literary texts employed to create geographical images are identified; the author’s accentuation on chronicling the sensations related to the natural features of the lands depicted (depiction of the sun, sea expanses and coasts, mountainous regions of China and volcanoes of Malaysia, etc.) is emphasized. The realism of verbal geographical images is highlighted. They are placed in specific geographical coordinates and characterized by completeness, diversity, grasp of the essential features of the phenomena depicted. The talent of the author’s thinking capable to see the general in each individual case is shown.
The combination of descriptive and rational approaches (comparative as well as cause-and-effect methods) for creating cultural images of cities and people is noted. Author’s attention to the negative consequences of the European colonization on the autochthonous culture, the mentality of the enslaved peoples, and the promotion of their liberation in the future is emphasized.
The conclusion is drawn about a harmonious blend of the Ukrainian and high-culture European civilization, in the personality of S. Yablonska who enriched the European culture with the ideas of openness and tolerance.
The geographical images of exotic countries created by the writer are analyzed in the context of modern humanistic philosophy of travel, the concept of aestheticism, the natural and ethical concept of happiness, and the concept of environmental behaviourism.
Key words: travelling literature, geographical image, geographical visual, geographical audial, geographical kinestet.