Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis of Plasma Corrugated-Rod Antenna for Multi-Gigabit Wireless Technology

This paper deals with synthesis problem of corrugated rod-antenna by induced electromotive force method for using in gigabit wireless technology. The authors have interpreted survey corrugated rod-antenna as isotropic dipole system and open interpreted programming language «Python» has been used for automatic synthesis of corrugated-rod antenna. Normalized amplitude radiation patterns for different supply voltage of dipoles have been calculated in polar coordinate system. The authors executed experimental investigation of field distribution of corrugated rod-antenna length 4λ0 in which plasma discharge is used as the component of the structure. Adequacy of implemented numerical model has been verified using the comparative analysis method.
1 Spillover effects of organizational justice : How perceptions of fair treatment at work influence organisational and community embeddedness , job satisfaction and turnover intentions

This study tests the proposition that employees’ perceptions of organizational justice influence feelings of job embeddedness using a sample of 160 Malaysian university employees. Additionally, this study also investigate whether or not dimensions of job embeddedness mediate and/or moderate the relationship between perceived organizational justice with turnover intentions and job satisfaction.Contrary to expectations, both organizational and community embeddedness were related to perceptions of organizational justice. Results from the structural equation modeling indicate that organizational and community embeddedness mediates the relationship between organizational justice perceptions and both turnover intentions and job satisfaction. Organizational embeddedness also was found to moderate the relationship between interactional justice and job satisfaction. The implications of these findings for managers and researchers are discussed.
Hypertension and obesity in cardiology outpatients: a cross-sectional study

Giris : Aterosklerotik kardiyovaskuler hastaliklar butun dunyada erken olum nedenlerinin basinda yer ‎almaktadir. Turkiye’de gerek hipertansiyon, gerekse obezite yayginligi yuksek olup, her ikisi de %30 civarindadir‎. ‎Bu calismada kardiyoloji poliklinigine basvuran kisilerde hipertansiyon yayginliginin belirlenmesi ve obezite ile hipertansiyon iliskisinin arastirilmasi amaclanmistir. Yontem : Tanimlayici-kesitsel tasarimdaki bu arastirma 15 Ocak – 28 Şubat 2018 tarihleri arasinda Medical Park Izmir Hastanesi ‎kardiyoloji polikliniginde yurutulmustur. Poliklinige belirtilen tarihlerde basvuran 256 kisiden 55’inin verileri analiz edilmistir. ‎ Katilimcilarin sistolik ve diyastolik kan basinclari, boy, agirlik, cinsiyet, yas kategorisi, ogrenim ‎durumu, medeni durum ve bilinen hipertansiyon varligi hakkinda veri toplanmistir. ‎ Bulgular : Katilimcilarin 35’i (%63,6) erkek, 20’si (%36,4) kadindi. Yas ortalamasi ‎‎44,60±11,03 ‎idi. Calismaya katilanlarda vucut kitle indeksi (VKI) ortalamasi 28,18±3,89 idi; ‎‎%85,4 kilolu veya obez sinifindaydi. ‎Sistolik ve diyastolik kan basinci ortalamalari sirasiyla 140,09±7,99 mmHg ve 90,69±7,07 ‎mmHg idi. Katilimcilarin 31’inde (%56,4) sistolik, 34’unde (%61,8) diyastolik, ‎‎37’sinde (%67,3) ise sistolik veya diyastolik hipertansiyon bulunmaktaydi. ‎Hipertansiyon tespit edilen 37 kisiden 26’sinda (%70,2) hipertansiyon oykusu ‎bulunmamaktaydi. ‎ Regresyon analizinde cinsiyetin yuksek kan basinci icin diger faktorlerden bagimsiz bir sekilde ‎belirleyici oldugu saptandi (p=0,005; odds orani=6,4). Sonuc : Kardiyoloji poliklinigine basvuran kisiler arasinda hipertansiyon ve ‎obezite oranlari yuksektir. Sik gorulen saglik sorunlarinin yonetilmesinde yetkin olmasi beklenen ve ‎koruyucu saglik uygulamalarina odakli aile hekimlerinin hipertansiyon ve obeziteyle mucadelede ‎daha etkin rol almalari gerekmektedir. ‎
Inhibition of CaMKK 2 Enhances Fracture Healing by Stimulating Indian Hedgehog Signaling and Accelerating Endochondral Ossification † Running Title : CaMKK 2 Inhibition Accelerates Bone Healing

Running Title: CaMKK2 Inhibition Accelerates Bone Healing Justin N. Williams (MS)1, Anuradha Valiya Kambrath (MS)1, Roshni B. Patel (BS)1, Kyung Shin Kang (PhD)1, Elsa Mével (PhD)1, Yong Li (MD)1, Ying-Hua Cheng (MD., PhD)2, Austin J Pucylowski (BS)1, Mariah A. Hassert (BS)3, Michael J. Voor (PhD)4, 5, Melissa A. Kacena (PhD)1, 6, William R. Thompson (PhD)7, Stuart J. Warden (PhD)1, 7, David B. Burr (PhD)1, Matthew R. Allen (PhD)1,2,6, Alexander G Robling (PhD)1 and Uma Sankar (PhD)1,*
Unsupervised Natural Language Generation for Task-Oriented Dialogue System

Conventional natural language generation for task-oriented dialogue system requires labeled data, which can be expensive and error-prone. This paper proposed a dualmodels approach for natural language generation of the task-oriented dialogue system, which use only label-free text data to generate grammatically correct sentence given keywords. The paper also demonstrates that the general language model can be applied to train a grammar model consisted of parts of speech without compromise on perplexity. The high ROUGE-l score on recall this model achieves on E2E dataset shows the success of the algorithm. The paper also presents a modified beam search for searching sentences with the keywords.
IT Based Land Suitability Modeling for Urban Development Using GIS: A Case Study of Kabul City, Afghanistan

This paper was directed by using Land Suitability Analysis (LSA) to decide the best areas for urban development in Kabul city utilizing an incorporated GIS-AHP model. The outcomes of this paper showed that GIS-AHP is a helpful strategy for ecological administration and for planning urban areas. With the produced criteria, maps were standardized by utilizing the pairwise comparison matrix technique. Weights for every model were produced by contrasting each other based on their significance. Criteria weights and maps were joined utilizing Weight Age Average (OWA) and Weighted Linear Combination (WLC). For determining the suitability of land for Urban Development Six thematic layers namely (Slope, Road, Land use, River, Settlement and Elevation) were utilized to distinguish the appropriate land for urban Development. Their weighted scores were obtained by AHP as per the pairwise comparison. For multiplying the weight and score of each factor Linear combination method was used and then its result was multiplied for making the urban development suitable. The highly suitable land was 45.3 sq. km, moderately suitable land was 191.77 sq. km, marginally suitable land 72.14 sq. km and 0.79 sq. km area was not suitable.
Ensuring the Observability of Structural Test Obligations

Test adequacy criteria are widely used to guide test creation. However, many of these criteria are sensitive to statement structure or the choice of test oracle. This is because such criteria ensure that execution reaches the element of interest, but impose no constraints on the execution path after this point. We are not guaranteed to observe a failure just because a fault is triggered. To address this issue, we have proposed the concept of observability—an extension to coverage criteria based on Boolean expressions that combines the obligations of a host criterion with an additional path condition that increases the likelihood that a fault encountered will propagate to a monitored variable. Our study, conducted over five industrial systems and an additional forty open-source systems, has revealed that adding observability tends to improve efficacy over satisfaction of the traditional criteria, with average improvements of 125.98 percent in mutation detection with the common output-only test oracle and per-model improvements of up to 1760.52 percent. Ultimately, there is merit to our hypothesis—observability reduces sensitivity to the choice of oracle and to the program structure.
VCSEL-Its History and Prospects for Green Microoptics-Kenichi Iga

In this talk, we will revie wthe history and the progress of VCSEL technology covering the spectral band from infrared to ultraviolet by featuring materials and fabrication technology. Performances such as threshold, output power, polarization, modulation and reliability are introduced. Lastly, we will touch on its future prospects fro green microoptics for ICT.
Modeling Competitive Beliefs on Social Network

Activities in human society require coordination of beliefs to be successful. This paper explores two models of learning and coordination of beliefs on abstract scale-free social networks using agent-based network model. Beliefs are taken as an abstract set of either two (A,B) or three (A,B,N) elements and agents update their beliefs using either majority rule or coordination game dynamics, taking into account strength value of each belief. At the start of simulation only limited number of agents are seeded with beliefs and simulation explores how initial distribution effect the diffusion and final outcome. A notion of vulnerability and strength of a community of nodes is introduced to explain why stronger belief can not always win. Further by varying strength of beliefs and centrality of seeded nodes we can conclude that on a scale-free networks beliefs with smaller strength can propagate and win over the network if centrality of originally seeded nodes is higher, this corresponds to that something less believable or even not true can spread and win in the society if it is supported by more influential people. Additional results from coordination game based dynamic indicate importance of intermediate “Neutral” belief that continues to exist on the network even if one of the other beliefs does not survive, and which presence speeds up convergence and diffusion process.
razilian stingless bee propolis and geopropolis : promising sources of iologically active compounds lavia

Stingless bee products such as honey, pollen, propolis, and geopropolis have been used for centuries in traditional medicine for the treatment of several illnesses. Investigation of the biological activity of stingless bee products, especially propolis and geopropolis, has revealed promising therapeutic properties. About 20% of total Neotropical stingless bees can be found in Brazil. Despite the species diversity, studies on their biological activity are scarce. The present review focuses on the antioxidant and antimicrobial activities of propolis and geopropolis from Brazilian stingless bees. In addition, the toxicity of these natural products was addressed. In order to provide new evidences for the toxic potential of propolis and geopropolis components, an in silico analysis was performed using the ADMET PredictorTM software. We observed that most of studies evaluated only crude ethanol extracts of a limited number of stingless hemical composition iological activity bees species. Propolis and geopropolis displayed antioxidant capacity and antimicrobial activity. Concerning the toxic potential, the extracts of stingless bees propolis and geopropolis were considered safe. Nonetheless, in vitro and in vivo toxicological studies are still necessary. © 2018 Published by Elsevier Editora Ltda. on behalf of Sociedade Brasileira de Farmacognosia. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
Decentralised and Reliable Service Infrastructure to Enable Corporate Cloud Computing

This paper describes a scalable, adaptive architecture for cloud computing. The platform allows a company to benefit from many advantages of lowcost virtualisation, while still providing control mechanisms to ensure security, compliance, reliability and consistency. We assume the utilised hardware is heterogeneous and potentially unreliable. We therefore adopt Internet proven peerto-peer (P2P) algorithms, i.e., distributed hash tables (DHTs) and gossip algorithms to cope with the dynamics. In order to reduce setup and maintenance costs we present built in self-configuration and optimization algorithms. A flexible execution environment based on spontaneous group formation ensures reliable service execution even in the event of hardware failure. We show the benefits and performance of the proposed platform by a concrete use case and simulation results.
A New Fusion Method of Table Tennis Sensor Information System

We have collected Table Tennis Training data by sensor System to improve training level. Table Tennis Sensor System analytical methods must be better designed, including definitions, analysis principles, and Information Fusion to avoid inconsistent vocabulary and potentially incorrect interpretation of training data. A continuing problem for Information Fusion of Table Tennis Sensor (TTS) is to develop efficient information unit. Many experts see information fusion as an important solution. The quality of TTS information fusion include establishing and maintaining a database of Table Tennis training information, searching for applicable information to be fused in a design, as well as adapting information toward a proper structure. In this paper, a new Data Vector Model (DVM) method is suggested here for training data classification and fusion of Table Tennis training data. We found that this new method gives a higher accuracy in training data selection and fusion process of TTS compared to the existing formal methods. We can improve the level of Table Tennis training by this method. Copyright © 2013 IFSA.
Bachelor Degree Project Attack Modeling and Risk Assessments in Software Defined networking ( SDN )

Software Defined Networking (SDN) is a technology which provides a network architecture with three distinct layers that is, the application layer which is made up of SDN applications, the control layer which is made up of the controller and the data plane layer which is made up of switches. However, the exits different types of SDN architectures some of which are interconnected with the physical network. At the core of SDN, the control plane is physically and logically separated from the data plane. The controller is connected to the application layer through an interface known as the northbound interface and to the data plane through another interface known as the southbound interface. The centralized control plane uses APIs to communicate through the northbound and southbound interface with the application layer and the data plane layer respectively. By default, these APIs such as Restful and OpenFlow APIs do not implement security mechanisms like data encryption and authentication thus, this introduces new network security threats to the SDN architecture. This report presents a technique known as threat modeling in SDN. To achieve this technique, attack scenarios are created based on the OpenFlow SDN vulnerabilities. After which these vulnerabilities are defined as predicates or facts and rules, a framework known as multihost multistage vulnerability analysis (MulVAL) then takes these predicates and rules to produce a threat model known as attack graph. The attack graph is further used to performed quantitative risk analysis using a metric to depict the risks associated to the OpenFlow SDN model
Reasons for Failed Trials of Disease-Modifying Treatments for Alzheimer Disease and Their Contribution in Recent Research

Despite all scientific efforts and many protracted and expensive clinical trials, no new drug has been approved by FDA for treatment of Alzheimer disease (AD) since 2003. Indeed, more than 200 investigational programs have failed or have been abandoned in the last decade. The most probable explanations for failures of disease-modifying treatments (DMTs) for AD may include late initiation of treatments during the course of AD development, inappropriate drug dosages, erroneous selection of treatment targets, and mainly an inadequate understanding of the complex pathophysiology of AD, which may necessitate combination treatments rather than monotherapy. Clinical trials’ methodological issues have also been criticized. Drug-development research for AD is aimed to overcome these drawbacks. Preclinical and prodromal AD populations, as well as traditionally investigated populations representing all the clinical stages of AD, are included in recent trials. Systematic use of biomarkers in staging preclinical and prodromal AD and of a single primary outcome in trials of prodromal AD are regularly integrated. The application of amyloid, tau, and neurodegeneration biomarkers, including new biomarkers—such as Tau positron emission tomography, neurofilament light chain (blood and Cerebrospinal fluid (CSF) biomarker of axonal degeneration) and neurogranin (CSF biomarker of synaptic functioning)—to clinical trials allows more precise staging of AD. Additionally, use of Bayesian statistics, modifiable clinical trial designs, and clinical trial simulators enrich the trial methodology. Besides, combination therapy regimens are assessed in clinical trials. The above-mentioned diagnostic and statistical advances, which have been recently integrated in clinical trials, are relevant to the recent failures of studies of disease-modifying treatments. Their experiential rather than theoretical origins may better equip potentially successful drug-development strategies.
CS 229 Project Report : Modeling Student Learning in Mobile App with Machine Learning

This study applies machine learning to student-question interaction data from a mobile app to model students’ learning trajectories. Since student learning is unobserved, machine learning techniques are used to take student-question interactions as inputs and predict achievement (operationalized as expected probability of correct answer across all questions). The baseline methods include time-weighted naive Bayes and a question difficulty-modulated version of the same algorithm. The main model is a Siamese-like neural network that can capture students’ questions-level performance across time. The best performing Siamese model was able to produce an accuracy rate of 87.3% with an F1 score of 0.922. Compared to the baseline models, the Siamese-like neural network also produces more consistent predictions of achievement ranking between students over time.
Association analysis of c . 105 G A SNP in CAPN 1 gene with carcass and meat quality traits in goose

Meat quality is an important concern for the poultry industry. Domestic geese products obtained from free-range systems usually have rather tough meat, and it is necessary to select them to improve meat tenderness. The relation of the calpain 1 (CAPN1) gene with the tenderness process of meat post-mortem has been demonstrated in several species. Thus, the objective of the present study was to identify polymorphisms in this gene and to perform an association analysis between these polymorphisms with related economic traits in goose raised in a dehesa ecosystem. For the analysis, fifty geese of three different subpopulations (20 Embden-Anser anser; 10 F1 cross; 20 Toulouse-Anser anser) were studied. A novel SNP was found in the CAPN1 gene, g.68GA. This Polymorphism was statistically associated with different carcass and meat quality traits such as tight muscle parameters (width, p = 0.020; length, p = 0.026) and the b* 10days (meat color, p = 0.024) parameter for the global goose population. The association of this gene with meat tenderness (WBSF) was confirmed in the case of female individuals of the Toulouse breed (p = 0.043). The results suggest the possibility of using molecular markers in CAPN1 gene as a potential tool for improving carcass and meat quality traits in goose breeding programs.
RECONFIGURABLE RF MEMS DEVICES AND ANTENNAS

Abstract This paper presents the overview of RF MEMS (Radio Frequency-MicroElectroMechanical Systems) components and reconfigurable antennas designed and produced in Middle East Technical University (METU) using the in-house fabrication process. The design and measurement results of various components such as switches, impedance tuners, phase shifters, frequency tunable antennas, a phased array antenna with RF MEMS phase shifters, and a reflectarray design are summarized. It is shown that the fabricated RF MEMS components satisfy the design specifications and have better performance and reconfigurability capabilities compared to their conventional counterparts.
A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS

In recent years, the use of Internet and online comments, expressed in natural language text, have increased significantly. However, it is difficult for humans to read all these comments and classify them appropriately. Consequently, an automatic approach is required to classify the unstructured data. In this paper, we propose a framework for Arabic language comprising of three steps: pre-processing, feature extraction and machine learning classification. The main aim of the proposed framework is to exploit the combination of different Arabic linguistic features. We evaluate the framework using two benchmark Arabic tweets datasets (ASTD, ATA), which enable sentiment polarity detection in general Arabic and Jordanian dialects. Comparative simulation results show that machine learning classifiers such as Support Vector Machine (SVM), Naive Bayes, MultiLayer Perceptron (MLP) and Logistic Regression-based produce the best performance by using a combination of n-gram features from Arabic tweets datasets. Finally, we evaluate the performance of our proposed framework using an Ensemble classifier approach, with promising results.
Strategizing Inclusivity in Teaching Diverse Learners in Higher Education

Purpose - As the classrooms in higher education are growing increasingly diverse, it is imperative that higher education practitioners build a responsive learning environment for diverse learners to optimize their potential. Continuing professional development programmes (CPD) are central to such strategic approaches that equip educators with essential knowledge and skills to handle diversity related issues, achieve equity and increase participation by students. Therefore, the present study aims to examine strategies used by higher education practitioners to address diversity and inclusion in teaching and learning. Methodology - Participants were nine academicians (6 males and 3 females) who emerged from natural retention along the iterative cycles on Community of Practice (CoP) participation. The present study adopted CoP as the theoretical lens and a methodological tool to understand what strategies higher education practitioners devise for their inclusive teaching and learning practices in response to the diversity related challenges. The data was collected through a series of observations and reflective journals. Initially, thematic analysis techniques were used to reduce data into two categories- strategies and challenges. Later, according to the prevalence and frequency count the strategies were analysed against the challenges reported and finally the strategies were reduced into major themes. Findings - Three major themes emerged that report the inclusive strategies conceived by the participants. The themes were - Inclusive/differentiated assessment which suggested that creating differentiated assessment that are inclusive in nature and can provide equal opportunity to every student to participate. The second theme, Motivation and Goal Strategies, revealed that students were found to be diverse in their goals for learning, hence, a variety of motivational strategies such as including students’ voice, providing them a clear rationale for studying and fostering relatedness were deemed suitable to address those differences. The final theme, inclusive pedagogy suggests a variety of accommodations to be made in pedagogy such as integrating technology, adopting culturally responsive material and initiating collaborative learning to address students’ differences. Significance -The findings have implications for faculty professional development, classroom teaching practices for inclusive pedagogy in higher education institutions and use of CoP as a framework for such developments.