Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Usability Testing of a Remote Control App for An Interactive RoboT

Experimenters need robots that are easier to control for experimental purposes. In this paper, we conducted interviews for eliciting interaction requirements for human-robot interaction scenarios. User input was then incorporated into an Android application for remotely controlling an Aldebaran Nao robot for use in Wizard-of-Oz experiments and demos. The app was used in a usability study to compare it with an existing Nao remote control app. Results were positive, highlighting the ease-of-use and organization of the app. Future work includes a more complete usability trial evaluating the unique functionality of the app, as well as a case study of the app in a real Wizard-of-Oz experiment.
A hybrid optimization method for wind generator design

The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. However, like most of the evolutionary computation techniques, the HS does not store or utilize the useful knowledge gained during the search procedure in an efficient way. In this paper, we propose and study a hybrid optimization approach, in which the HS is merged together with the Cultural Algorithm (CA). Our modified HS method, namely HS-CA, has the interesting feature of embedded problem-solving knowledge. Simulations of some typical benchmark problems demonstrate that the HS-CA can yield a superior optimization performance over the regular HS algorithm. We also apply the proposed HS-CA in a case study of the optimal wind generator design to further examine its effectiveness.
Reciprocity in Wind Farm Development: An Applied and Theoretical Approach

Communication in wind farm development is complex. A relationship between wind farm developers and residents which is based on reciprocity can lead to the trust and commitment necessary to deal with these complexities. The role of reciprocity is researched in a case study and a network model of reciprocity is developed. Implementing the findings of the case study in the model gives insight in the conditions for which communication leads to mutual advantage for wind farm developers and residents.
Are the questionnaire and the psycho-lexical Big Twos the same? Towards an integration of personality structure within the Circumplex of Personality Metatraits

The Big Two personality factors were identified independently in questionnaire (Stability and Plasticity) and in psycho-lexical studies (Social Self-Regulation and Dynamism), but despite the close correspondence between them, the existing results are inconclusive as to the degree of their similarity. The presented study involved 692 participants (55.3% females; Mage=31.5, SDage=13.1) who completed a set of instruments measuring the most general personality dimensions to clarify the relationship between the questionnaire and the psycho-lexical Big Twos within the Circumplex of Personality Metatraits (CPM). It was shown that both Big Twos can be deemed slightly different manifestations of the personality metatraits identified within the CPM. Thus, the obtained results suggest a possibility for renewed integration of the questionnaire and the psycho-lexical traditions of research on personality structure.
Network Intrusion Classification with Feature Reduction

Nowadays, in data technology, data preservation has become a good issue. Computers and completely different security breaches are incessantly attacked by security threats. There are completely different malicious network based or host based attacks that are a massive threat to networks. For protecting computer and networks from attacks and threats, the intrusion detection system has been used that is signature based. An Intrusion detection system gathers needed data to perform analytical actions. So that, it could determine threats that would be generated from a system or organizations inner or outer atmosphere. A great amount of data that is worked by the intrusion detection system, takes varied inappropriate and unnecessary features that result in raised execution time and low detection rate. As a result, in intrusion detection, an undeniable role is played by feature selection. To cover up such aspect various literature were revealed by completely different profound authors. During this analysis, we’ve approached to select some important features based on some feature selection algorithm so that the computational cost, space complexity and intrusion detection time can be reduced. Our analysis over NSL-KDD data set shows that once feature reduction, except Naive Bayes classifier the accuracy of the foremost classifiers is sort of as same because the performance with none feature reduction.
94 GHz bistatic scattering in rain

This paper presents measurements of bistatic scattering of electromagnetic waves by rain at 94 GHz in vertical polarization. The experiment was done using transmitting and receiving rotating antennas of 312 m distance. Both antennas could be rotated independently in the horizontal plane enabling the measurement of bistatic scattering angles from -120/spl deg/ to +120/spl deg/. The raindrop size distributions were measured by a distrometer located close to the propagation path. Since narrow beam antennas were employed and the path length was relatively short, the scattering volume was small and the rain statistics could be assumed homogeneous over the scattering volume. We show that computations using the first order of multiple scattering hypothesis and Mie theory for spherical drops are in good agreement with measured experimental values.
Designing a virtual patient dialogue system based on terminology-rich resources: Challenges and evaluation

Abstract Virtual patient software allows health professionals to practise their skills by interacting with tools simulating clinical scenarios. A natural language dialogue system can provide natural interaction for medical history-taking. However, the large number of concepts and terms in the medical domain makes the creation of such a system a demanding task. We designed a dialogue system that stands out from current research by its ability to handle a wide variety of medical specialties and clinical cases. To address the task, we designed a patient record model, a knowledge model for the task and a termino-ontological model that hosts structured thesauri with linguistic, terminological and ontological knowledge. We used a frame- and rule-based approach and terminology-rich resources to handle the medical dialogue. This work focuses on the termino-ontological model, the challenges involved and how the system manages resources for the French language. We adopted a comprehensive approach to collect terms and ontological knowledge, and dictionaries of affixes, synonyms and derivational variants. Resources include domain lists containing over 161,000 terms, and dictionaries with over 959,000 word/concept entries. We assessed our approach by having 71 participants (39 medical doctors and 32 non-medical evaluators) interact with the system and use 35 cases from 18 specialities. We conducted a quantitative evaluation of all components by analysing interaction logs (11,834 turns). Natural language understanding achieved an F-measure of 95.8%. Dialogue management provided on average 74.3 (±9.5)% of correct answers. We performed a qualitative evaluation by collecting 171 five-point Likert scale questionnaires. All evaluated aspects obtained mean scores above the Likert mid-scale point. We analysed the vocabulary coverage with regard to unseen cases: the system covered 97.8% of their terms. Evaluations showed that the system achieved high vocabulary coverage on unseen cases and was assessed as relevant for the task.
RSPAE: RFID Search Protocol based on Authenticated Encryption

Search protocols are among the main applications of RFID systems. Since a search protocol should be able to locate a certain tag among many tags, not only it should be secure against RFID threats but also it should be affordable. In this article, an RFID-based search protocol will be presented. We use an encryption technique that is referred to as authenticated encryption in order to boost the security level, which can provide confidentiality and integrity, simultaneously. Furthermore, since the proposed protocol belongs to the lightweight protocols category, it is appropriate for applications that require many tags and costs must be low. In terms of the security, the analysis results give a satisfactory security level and it is robust against different RFID threats like replay, traceability and impersonation attacks. Using Ouafi-Phan model, BAN and AVISPA, we also checked the security correctness of the suggested protocol.
PENGGUNAAN KLAUSA RELATIF PADA PEMBELAJAR BIPA DI UNIT PELAKSANA TEKNIS (UPT) BAHASA UNIVERSITAS SEBELAS MARET SURAKARTA

Anggun Melati Sari 1, Andayani 2, Sumarlam 3 1 Universitas Sebelas Maret Surakarta anggun07melati@gmail.com 2 Universitas Sebelas Maret Surakarta Bu_anda09@yahoo.co.id 3 Universitas Sebelas Maret Surakarta sumarlamwd@gmail.com Abstract This study aimed to describe the use of relative clauses Indonesian learners for Foreign Speakers (BIPA) grade-level academic scholarship at the Technical Implementation Unit (UPT) Language of Sebelas Maret University. The subject matter is the form of the use of relative clauses and the types of errors in relative clause. The data used in this study is the form of oral’s data and writing’s data. The data derived from the oral-speech BIPA’s learners in which there is relative clause while the writing’s data derived from the sentences in BIPA learner’s essay in which there is relative clause. The data were analyzed using agih methods and advanced technique of agih methods. The results of this study indicate that the use of relative clauses in BIPA learners using the perelative words “yang”. Acquisition of the relative clauses that relativize the thermic elements and errors in the relative clause that removes the noun element occupying the highest level as well as describe the highest degree of mastery in relative clauses. This study concluded that the form of the use of relative clause also describe the mastery level of difficulty of each type of relative clause learners BIPA. Keywords : clause, relative clause, Indonesian for foreign speakers (BIPA)
The Role of Spoken Language and Literacy Exposure for Cognitive and Language Outcomes in Children

ABSTRACT Children’s language and cognitive development are informed by adult spoken language and parental literacy behaviors, although their relative contributions have not been evaluated. Using digital audio-recorders, we unobtrusively observed the spoken language of 107 children, aged 24 to 48 months (M = 32, SD = 6.5), and their families over 3 days (M = 15.1 hours per day, SD = 1.9). Additionally, parents administered a cognitive test to their child and completed measures for their own literacy behaviors. The adult spoken language that children were exposed to accounted for 11% and 12% of the variance in their cognitive and language abilities. Parents’ literacy behaviors accounted independently for 4% of the variance in children’s cognitive ability but were not associated with their language ability. Parents’ literacy behaviors correlated . 33 with the quantity of adult spoken language. Our findings suggest that parents’ literacy behaviors play a significant role in children’s cognitive development.
HyStart++: Modified Slow Start for TCP

This informational memo describes HyStart++, a simple modification to the slow start phase of TCP congestion control algorithms. HyStart++ combines the use of one variant of HyStart and Limited Slow Start (LSS) to prevent overshooting of the ideal sending rate value, while also mitigating poor performance which can result from false positives when HyStart is used alone. This memo also describes the details of the current implementation in the Windows operating system.
Has Dynamic Programming Improved Decision Making?

Dynamic programming (DP) is a powerful tool for solving a wide class of sequential decision-making problems under uncertainty. In principle, it enables us to compute optimal decision rules that specify the best possible decision in any situation. This article reviews developments in DP and contrasts its revolutionary impact on economics, operations research, engineering, and artificial intelligence with the comparative paucity of its real-world applications to improve the decision making of individuals and firms. The fuzziness of many real-world decision problems and the difficulty in mathematically modeling them are key obstacles to a wider application of DP in real-world settings. Nevertheless, I discuss several success stories, and I conclude that DP offers substantial promise for improving decision making if we let go of the empirically untenable assumption of unbounded rationality and confront the challenging decision problems faced every day by individuals and firms.
Evaluation of an e-Learning platform for educators to improve education around infection prevention and antibiotics

ABSTRACT e-Bug, an international educational resource for educators to teach children about hygiene and antibiotics, developed free e-Learning for educators to increase knowledge about e-Bug and develop skills to optimise use. Educators completed an online evaluation survey after completing the e-Learning. Quantitative data were analysed using Microsoft Excel. Two qualitative focus groups explored educator views; data were thematically analysed. One hundred participants participated. Overall impression of the e-Learning was very good/good (88%). Eighty per cent stated that their perceived knowledge of e-Bug improved after completing the training. Four main themes emerged from qualitative data: attributes of the e-Learning, perceived educator self-development, promotion and accreditation of educator training, and the delivery of educator training. Educators suggested modifications. Authors conclude that e-Learning is a suitable tool to aid educator learning; educators view the e-Bug e-Learning as a valuable continuous professional development resource to improve educator knowledge, confidence and skills to teach about hygiene topics.
Performance Analysis and Boost for a MAC Protocol in Vehicular Networks

This paper proposes an analytical model to investigate the performance of periodical broadcast of safety messages in vehicular ad hoc networks (VANETs), regarding a hybrid medium access control (MAC) protocol, called NC-PNC MAC. We first examine the percent of vehicles involved in subcarrier collisions during a random orthogonal frequency-division multiple access scheme, and then theoretically analyze the total number of transmissions and the packet delivery ratio (PDR) during one dissemination period. Based upon the analysis, this paper not only reveals how the subcarrier collision probability influences the PDR performance, but mathematically obtains the maximum PDR. To confirm the results, by adjusting a pivotal parameter of the MAC protocol, the PDR performance for basic safety message broadcast in VANETs can be enhanced by 10% to 30% under the constraint of the delivery latency.
A Physically Unclonable Function Using Soft Oxide Breakdown Featuring 0% Native BER and 51.8 fJ/bit in 40-nm CMOS

This paper presents a physically unclonable function (PUF) based on the randomness of soft gate oxide breakdown (BD) locations in MOSFETs, namely, soft-BD PUF. The proposed PUF circuit features a self-limiting mechanism that generates exactly one soft-BD spot in a pair of NMOS transistors. Highly stable “0” and “1” bits with an equal probability of 0.5 are extracted based on the locations of the generated BDs. A differential readout scheme is employed based on the proposed reference-free sense amplifier (SA), resulting in good current sensitivity and side-channel attack resilience. The soft-BD PUF, fabricated in a 40-nm CMOS process, comprises all essential periphery circuits. Measurements show that the soft-BD PUF has good data stability in a wide operating range. The native bit error rate is 0% for $V_{\text {DD}}=1\,\,\text {V}$ and above, shown by measuring 10k readout cycles among 10k PUF cells. Data stability degrades at lower supply voltage and higher temperature due to the conductivity of PUF cells and the offset of SAs. Under the nominal $V_{\textrm {DD}}$ of 0.9 V in this technology, the throughput is shown to be at least 40 Mb/s and the PUF readout consumes only 51.8 fJ/bit. The averaged hamming weight and hamming distance are 0.497 and 0.496, respectively, showing a good randomness and uniqueness. The resulting PUF data show good statistical properties by passing all the relevant tests in the NIST 800-22 suite.
Eco-Friendly Durable Press Finishing of Textile Interlinings

In co-operation with the Slovene textile company ZVEZDA which produces textile interlinings, we studied the influence of different durable press finishers on the release of formaldehyde. This was measured by the standard method Law 112 (Control of Household Products Containing Harmful Substances, Law 112). The effect of durable press finishing was evaluated by measuring the dimensional stability of treated fabrics and by wrinkle recovery angle measurements (WRA). In our research we studied the addition of formaldehyde acceptors in the form of urea, N-ethylurea and 1H-benzotriazole to the treating baths, to reduce the amount of free formaldehyde on the knitted textile substrate.
UPPER LIMB REHABILITATION WITH A COLLABORATIVE ROBOT

The interest in rehabilitation robotics is showing a steady growth over the last decades. This paper presents a rehabilitation application for the upper limb, achieved using a well-known industrial collaborative robot. The proposed robotic system has been programmed and a specific layout has been developed to provide an active-assistive control strategy. Key words: robotic rehabilitation, upper limb, collaborative robot, control strategy, post-stroke. The interest in rehabilitation robotics is showing a steady growth over the last decades. This paper presents a rehabilitation application for the upper limb, achieved using a well-known industrial collaborative robot. The proposed robotic system has been programmed and a specific layout has been developed to provide an active-assistive control strategy . Key words: robotic rehabilitation, upper limb, collaborative robot, control strategy, post-stroke.
Electric Vehicles Beyond Energy Storage and Modern Power Networks: Challenges and Applications

Electric vehicles (EVs) have been increasingly experiencing sales growth, and it is still not clear how to handle the associated impacts of a substantial integration of EVs against the power network performance and electricity deregulated market. Power networks development moves slowly compared to EVs, so it is hard to harmonize the two systems. Also, the associated cost required to modernize electric networks to accommodate the EVs additional loading is so huge that it makes it impractical. An electric network would suffer from many performances and quality-related problems if a significant number of EVs are not taken into account. Thus, it is vital to calculate at a reasonable accuracy the additional capacity to which the network would take. Also, the modeling of these EVs in terms of charge/discharge procedure (central or distributed) is essential to enable the optimization and compute potential impacts. The electricity market has to interface with the bidirectional supply nature of the EVs, so they become economically feasible. A business model that incorporates market structure and standards is selected in harmony with the charge/discharge model for best outcomes. Some approaches, algorithms, and schemes are deemed necessary to mitigate the effects of having EVs in the network. This paper presents a comprehensive review categorically on the recent advances and past research developments of EV paradigm over the last two decades. The main intent of this paper is to provide an application-focused survey, where every category and subcategory herein is thoroughly and independently investigated.
The Universality of the Overt Pronoun Constraint: The Re-analysis of the Turkish Case

The study examines the Overt Pronoun Constraint (OPC) in Turkish by collecting data from native speakers of this language through a test which targets the binding relationship between embedded and matrix subjects. The findings show that context plays a crucial role in determining the co-indexation relationship in such structures. Depending on the context, there exists an asymmetry which is in line with the OPC. When the target sentence is interpreted within a context which does not provide a third party to form contrastive focus, the embedded o ‘s/he’ can be co-referential with the referential DP matrix subject. On the other hand, whatever the context is, the embedded o ‘s/he’ cannot be co-referential with a quantified/wh antecedent. These assertions are compatible with the claims of the OPC. In this respect, it would be wrong to claim that the OPC does not hold in Turkish at all. Hence, the present study makes a valuable contribution to the assertion that the OPC is a universal feature which is valid for all null subject languages.
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms

This paper addresses breast mass segmentation from high-resolution mammograms. To cope with strong class imbalance, huge diversity of size, shape, texture and contour as well as limited receptive field, mass segmentation is achieved through a multi-scale cascade of deep convolutional encoder-decoders without any pre-detection scheme. Multi-scale information is integrated using auto-context to make long-range spatial context arising from lower scale impact training at higher resolution. The pipeline is trained end-to-end to benefit from simultaneous segmentation refinement performed at each level. It incorporates transfer learning and fine tuning from DDSM-CBIS to INbreast datasets to further improve mass delineations. The comprehensive evaluation provided for high-resolution INbreast images highlights promising model generalizability against standard encoder-decoder strategies.
Regional convergence and spatial dependence: a worldwide perspective

This paper incorporates technological interdependence into a neoclassical regional growth framework with imperfect factor mobility, leading to a convergence equation with spatial effects. The empirical analysis is based on the estimation of a spatial Durbin panel data model and the implementation of multiple imputation techniques. Our results show that taking into account both unobserved heterogeneity and spatial dependence increases the estimated regional convergence rate. This provides an explanation for puzzling findings in the related literature. We also obtain evidence of heterogeneity across country groups regarding the regional speed of convergence and the degree of diffusion of technology.
Use of Text Data in Identifying and Prioritizing Potential Drug Repositioning Candidates

II CHAPTER 1: INTRODUCTION . 1 1.1 DRUG REPOSITIONING . 2 1.2 SUCCESSFUL DRUG REPOSITIONING DISCOVERIES . 3 1.3 DRUG REPOSITIONING APPROACHES . 3 1.4 OUR CONTRIBUTIONS . 5 CHAPTER 2: BACKGROUND AND RELATED WORK . 8 2.