nils-herrmann/clean_scirepeval huggingface dataset:
Language learning strategies of Indonesian primary school students: In relation to self efficacy beliefs

This study examined Indonesian primary school students' strategy use in learning English. It also explored how these young learners' strategy use relates to their self efficacy beliefs. The Indonesian Children's Strategy Inventory for Language Learning (SILL) and the Children's Self efficacy in Learning English Questionnaire (C SELEQ) were administered to 522 sixth graders. The young learners reported high use of socio affective and metacognitive strategies and moderate use of cognitive strategies. The preferred strategies involved learning with/from others and regulating one's own learning, while the less preferred strategies mainly dealt with memorizing words and practicing outside the classroom. The results also indicated significant differences in strategy use between students who perceived themselves capable of performing English tasks and self regulating their learning and students who did not. The study contributes to knowledge on the influential roles of self efficacy particularly self efficacy in self regulated learning.
A 3D modulated delay line based chipless TDR UWB RFID system with high suppression of multiple reflections
Venue: 2016 46th European Microwave Conference (EuMC)

Multiple reflections that are created in the communication channel as well as on the tag itself have a high impact on the performance of time domain reflectometry (TDR) radio frequency identification (RFID) systems. In this paper we present a complete chipless delay line based TDR ultra wideband (UWB) system with low multiple reflections and a 3D modulation scheme. We use a minimum tag delay to reduce tag size as well as insertion loss on the tag, which decreases the maximum reading range and the maximum modulation order. Microstrip dividers are in place on the tag to block multiple reflections on it. Additionally, orthogonally polarized antennas at the reader and the tag are used to suppress clutter from the surroundings as well as from the tag itself. These measures assure a 12 bit data capacity and allow tag interrogation without any calibration. We provide a detailed analysis of the system architecture, verified by measurement results, to prove the capability of the system.
Understanding Emotional Expressions in Social Media through Data Mining

People around the world use social network sites such as Twitter or Facebook to share messages on any topic, including emotionally charged and educationally relevant messages. As such, social network sites afford a novel methodological approach of potential benefit to researchers who examine the theoretical and empirical implications of the emotions reported by teachers and students in educational settings. This chapter provides an overview of methodological approaches for mining social network sites for content concerning the role of emotions in education, reviews relevant literature in this domain, and provides examples as to how educational researchers can employ these techniques in their own research.
Direct visualization of the in plane leakage of high order transverse modes in vertical cavity surface emitting lasers mediated by oxide aperture engineering
Venue: SPIE OPTO

Oxide confined apertures in vertical cavity surface emitting laser (VCSEL) can be engineered such that they promote leakage of the transverse optical modes from the non oxidized core region to the selectively oxidized periphery of the device. The reason of the leakage is that the VCSEL modes in the core can be coupled to tilted modes in the periphery if the orthogonality between the core mode and the modes at the periphery is broken by the oxidation induced optical field redistribution. Three dimensional modeling of a practical VCSEL design reveals i) significantly stronger leakage losses for high order transverse modes than that of the fundamental one as high order modes have a higher field intensity close to the oxide layers and ii) narrow peaks in the far field profile generated by the leaky component of the optical modes. Experimental 850 nm GaAlAs leaky VCSELs produced in the modeled design demonstrate i) single mode lasing with the aperture diameters up to 5mm with side mode suppression ratio >20dB at the current density of 10kA/cm2; and ii) narrow peaks tilted at 37 degrees with respect to the vertical axis in excellent agreement with the modeling data and confirming the leaky nature of the modes and the proposed mechanism of mode selection. The results indicate that in plane coupling of VCSELs, VCSELs and p i n photodiodes, VCSEL and delay lines is possible allowing novel photonic integrated circuits. We show that the approach enables design of oxide apertures, air gap apertures, devices created by impurity induced intermixing or any combinations of such designs through quantitative evaluation of the leaky emission.
An Implementation of Tree Seed Algorithm (TSA) for Constrained Optimization

One of the recent proposed population based heuristic search algorithms is tree seed optimization algorithm, TSA for short. TSA simulates the growing over on a land of trees and seeds and it has been proposed for solving unconstrained continuous optimization problems. The trees and their seeds on the D dimensional solution space correspond to the possible solution for the optimization problem. At the beginning of the search, the trees are sowed to the land, and a number of seeds for each tree are produced during the iterations. The tree is removed from the stand and its best seed is added to the stand if the fitness of the best seed is better than the fitness of this tree. In the present study, a constraint optimization problem, the well known pressure vessel design PVD problem, is solved by using TSA. To overcome the constraints of the problem, a penalty function is used and the problem is considered as a single objective optimization problem. The experimental results obtained by the TSA are compared with the results of state of art methods such as artificial bee colony (ABC) and particle swarm optimization (PSO) Based on the solution quality and robustness, the promising and comparable results are obtained by the proposed approach.
Computational imaging with multi camera time of flight systems
Venue: ACM Trans. Graph.

Depth cameras are a ubiquitous technology used in a wide range of applications, including robotic and machine vision, human computer interaction, autonomous vehicles as well as augmented and virtual reality. In this paper, we explore the design and applications of phased multi camera time of flight (ToF) systems. We develop a reproducible hardware system that allows for the exposure times and waveforms of up to three cameras to be synchronized. Using this system, we analyze waveform interference between multiple light sources in ToF applications and propose simple solutions to this problem. Building on the concept of orthogonal frequency design, we demonstrate state of the art results for instantaneous radial velocity capture via Doppler time of flight imaging and we explore new directions for optically probing global illumination, for example by de scattering dynamic scenes and by non line of sight motion detection via frequency gating.
A Cloud Intrusion Detection System Using Novel PRFCM Clustering and KNN Based Dempster Shafer Rule
Venue: Int. J. Cloud Appl. Comput.

Cloud computing has established a new horizon in the field of Information Technology. Due to the large number of users and extensive utilization, the Cloud computing paradigm attracts intruders who exploit its vulnerabilities. To secure the Cloud environment from such intruders an Intrusion Detection System IDS is required. In this paper the authors have proposed an anomaly based IDS which classifies an incoming connection by taking the deviation of it from the normal behaviors. The proposed method uses a novel Penalty Reward based Fuzzy C Means PRFCM clustering algorithm to generate a rule set and the best rule set is extracted from it using a modified approach for KNN algorithm. This best rule set is used in evidential reasoning of Dempster Shafer Theory for classification. The IDS has been trained and tested with NSL KDD dataset for performance evaluation. The results prove the proposed IDS to be highly efficient and reliable.
On the Use of Belief Functions to Improve High Performance Intrusion Detection System
Venue: 2016 12th International Conference on Signal Image Technology Internet Based Systems (SITIS)

Shafer theory is a very powerful tool for data fusion, which provides a good estimation of imprecision, conflict from different sources and deal with any unions of hypotheses. In this paper, we propose to develop a high performance hybrid Network Intrusion Detection System, based on belief functions. This system contains three levels, the first one includes two fast classifiers: Naive Bayes and Support Vector Machine (SVM) Bused for their performance on classification. In the second level outputs of both SVM and Naive Bayes are fuzzified using fuzzy logic. Third, the overall decision of the system is performed using Dempster's rule of combination. The experimentation on a recent benchmark dataset shows that our approach achieves a higher detection rate with low false alarm rates compared to some existing classifiers.
Smart Drug Delivery Strategies Based on Porous Nanostructure Materials

The control of drug delivery can have a great effect on its efficacy. An optimum concen tration range of drugs can play a significant role in the human body, and it can cause harm to humans when it exceeds the range of the drug concentration. Recently, a variety of drug deliveries and their targeted systems have been studied to minimize drug loss and maximize the amount of drug accumulated in the required area, thus increasing drug bioavailability. In addition, we should especially consider the prevention of its harmful side effects in the human body. Innovative drug delivery systems based on biodegrada ble, natural or synthetic polymers, microor nano particles, lipoproteins, micelles, TiO2 nanotube arrays (TNTs) nanoporous anodic aluminum oxide (AAO) and so on were de veloped, which combined magnetic targeting and stimulus responsive in drug delivery systems. The composition of delivery carriers and the stimulus responsive elements proved stimulus responsive drug release as a smart drug delivery system.
Polignac Numbers, Conjectures of Erdos on Gaps Between Primes, Arithmetic Progressions in Primes, and the Bounded Gap Conjecture

In the present work we prove a number of results about gaps between consecutive primes. The proofs need the method of Y. Zhang which led to the proof of infinitely many bounded gaps between primes. Several of the results refer to the so called Polignac numbers which we define as those even integers which can be written in infinitely many ways as the difference of two consecutive primes. Others refer to several 60 70 years old conjecture of Paul Erdos about the distribution of the normalized gaps between consecutive primes and about the distribution of the ratio of consecutive primegaps. The methods involve an extended version of Zhangs method, a property of the GPY weights proved by the author a few years ago and other ideas as well.
Erratum to "Bounded Gaps Between Primes of a Special Form"

However, the value of |b2| is very small (less than 18 k0A g 2k0 1 (2k0) 2k0 1 So this error would not essentially affect the subsequent computations in Section 3. The next error appears in the proof of Theorem 2.1  The formula in Line 8 of Page 12348 is incorrect, which cannot be easily deduced from the result of Smith. Now using an elementary approach, we can get the following weaker result, which is sufficient for the proof of Theorem 2.1:
On Supply Chain Integration to Free Trade Zones: The Case of the United States of America

The interdependence of resources in a global marketplace, the advancement of technology and rising national economic constraints have compelled companies to excel in their supply chain performance. To that end, Free Trade Zones (FTZs) may help supply chains improve their bottom line while generating economic development to their geographical regions. The shift of manufacturing to overseas and recent changes in global trends, regulations and procedures call for a renewed understanding of FTZs from the perspective of the extended enterprise. Although having significant potential impact on the efficiencies of global supply chains, FTZs in such a context have not been studied in depth in academic literature. With this paper, we aim to modestly draw attention to that gap while providing an overview of the contemporary state of FTZs with a special focus on the USA and the application process therein. We propose a practical decision framework that considers the cost of imported goods and the level of business maturity to help companies make better decisions when they want to integrate with a FTZ.
Guest Editors' Introduction Intimate Industries: Restructuring (Im)Material Labor in Asia

The article provides a theoretical overview of the study of the commodification of intimacy in Asia, specifically charting a framework for understanding its institutionalization. It introduces the concept of "intimate industries," meaning the economic institutions that market the intimacies of affect, care, reproduction, and sex. These industries include surrogacy clinics, bridal photography studios, ecotourism sites, and among others, overseas call centers. The article maps the types of labor that intimate industries create, the types of personal relations they sustain, the moral conflicts and anxieties they engender, and lastly, their constitution of the body and biopolitics. The article draws attention to the reconfiguration of the economic world system through its discussion of the emergence of new nonmanufacturing sectors in Asia and the deepening marketization of longstanding sectors.
Unmanned Aerial Vehicle With Underlaid Device to Device Communications: Performance and Tradeoffs
Venue: IEEE Transactions on Wireless Communications

In this paper, the deployment of an unmanned aerial vehicle (UAV) as a flying base station used to provide the fly wireless communications to a given geographical area is analyzed. In particular, the coexistence between the UAV, that is transmitting data in the downlink, and an underlaid device to device (D2D) communication network is considered. For this model, a tractable analytical framework for the coverage and rate analysis is derived. Two scenarios are considered: a static UAV and a mobile UAV. In the first scenario, the average coverage probability and the system sum rate for the users in the area are derived as a function of the UAV altitude and the number of D2D users. In the second scenario, using the disk covering problem, the minimum number of stop points that the UAV needs to visit in order to completely cover the area is computed. Furthermore, considering multiple retransmissions for the UAV and D2D users, the overall outage probability of the D2D users is derived. Simulation and analytical results show that, depending on the density of D2D users, the optimal values for the UAV altitude, which lead to the maximum system sum rate and coverage probability, exist. Moreover, our results also show that, by enabling the UAV to intelligently move over the target area, the total required transmit power of UAV while covering the entire area, can be minimized. Finally, in order to provide full coverage for the area of interest, the tradeoff between the coverage and delay, in terms of the number of stop points, is discussed.
Biological Synthesis of Nanoparticles from Plants and Microorganisms.
Venue: Trends in biotechnology

Nanotechnology has become one of the most promising technologies applied in all areas of science. Metal nanoparticles produced by nanotechnology have received global attention due to their extensive applications in the biomedical and physiochemical fields. Recently, synthesizing metal nanoparticles using microorganisms and plants has been extensively studied and has been recognized as a green and efficient way for further exploiting microorganisms as convenient nanofactories. Here, we explore and detail the potential uses of various biological sources for nanoparticle synthesis and the application of those nanoparticles. Furthermore, we highlight recent milestones achieved for the biogenic synthesis of nanoparticles by controlling critical parameters, including the choice of biological source, incubation period, pH, and temperature.
The influence of YouTubers on teenagers a descriptive research about the role YouTubers play in the life of their teenage viewers

Nowadays, teenagers are raised in an era of smartphones and do not remember a time before social media. Most teenagers are active on social media starting at the age of 10 (BBC Newsround, 2016) According to a study by Variety Magazine (2014) six out of ten influencers for 13 18 year olds are YouTubers. Teenagers find YouTube influencers more relatable than traditional celebrities (Defy media, 2015) They are seen as role models and are often recognized in the streets by their fans. However, despite being famous online, outside the YouTube community they are just average people that could be the person living next door. Parents often do not know about the online behavior of their children and the YouTubers they endorse. The aim of this research is to give an overview of the current YouTube community, including what influence Dutch YouTubers have on their teenage viewers and to what extent this influence on their life is good or bad. This study uses a qualitative study approach with a semi structured interviewing technique. The research focuses on both teenagers and YouTubers and combines the results. The sample consists of 16 in depth interviews with 20 teenagers in total and 4 in depth interviews with 4 YouTubers in total. This research shows that YouTube has become part of the daily life of many teenagers. YouTubers do have influence on the behavior of teenagers, of which teenagers and their parents are unaware. This influence is not a bad thing, however, the unawareness of parents can be a problem as many teenagers want to become YouTubers themselves. The advice of this research is that parents should know more about the behavior of their teenagers on YouTube and make rules about what is allowed and what is not. This descriptive research describes the world of YouTubers and teenagers. Further research could focus on guidelines for parents whose teenagers are active on YouTube.
A KL Divergence and DNN Based Approach to Voice Conversion without Parallel Training Sentences
Venue: INTERSPEECH

We extend our recently proposed approach to cross lingual TTS training to voice conversion, without using parallel training sentences. It employs Speaker Independent, Deep Neural Net (SIDNN) ASR to equalize the difference between source and target speakers and Kullback Leibler Divergence (KLD) to convert spectral parameters probabilistically in the phonetic space via ASR senone posterior probabilities of the two speakers. With or without knowing the transcriptions of the target speaker's training speech, the approach can be either supervised or unsupervised. In a supervised mode, where adequate training data of the target speaker with transcriptions is used to train a GMM HMM TTS of the target speaker, each frame of the source speakers input data is mapped to the closest senone in thus trained TTS. The mapping is done via the posterior probabilities computed by SI DNN ASR and the minimum KLD matching. In a unsupervised mode, all training data of the target speaker is first grouped into phonetic clusters where KLD is used as the sole distortion measure. Once the phonetic clusters are trained, each frame of the source speakers input is then mapped to the mean of the closest phonetic cluster. The final converted speech is generated with the max probability trajectory generation algorithm. Both objective and subjective evaluations show the proposed approach can achieve higher speaker similarity and better spectral distortions, when comparing with the baseline system based upon our sequential error minimization trained DNN algorithm.
Cognitive Behavioural Therapy for Paruresis or "Shy Bladder Syndrome" A Case Study
Venue: Behavioural and Cognitive Psychotherapy

Paruresis, or "shy bladder syndrome" is a relatively common anxiety disorder, yet little is known about the causes of, and effective treatments for this disabling condition.  This report describes a case study in which a man (Peter) presenting with paruresis was treated using formulation driven CBT, which aimed to address the idiosyncratic processes that were maintaining his anxiety and avoidance of urinating in public.  Peter attended 12 sessions of CBT including one follow up session a month after treatment had ended. Treatment involved collaboratively developing an idiosyncratic case conceptualization (identifying longitudinal and cross sectional factors involved in the development and maintenance of his difficulties) followed by a number of standard cognitive and behavioural interventions commonly used in evidence based CBT protocols for other anxiety disorders. Peter completed sessional outcome measures of paruresis symptomatology, anxiety, depression, social anxiety and functional impairment.  Peter subjectively found the intervention helpful and his scores on all of the outcome measures reduced over the course of his therapy, and were maintained at one month follow up.  This report adds to the scarce literature regarding effective treatments for individuals suffering with paruresis. Limitations of the design are acknowledged and ideas for further research in this area are discussed.
Desensitization of Triggers and Urge Reduction for Paruresis: A Case Report
Venue: Psychiatry investigation

Paruresis is a special type of non generalized social phobia that involves fear and avoidance of urination in public restrooms. We administered eight 60 minute sessions of desensitization of triggers and urge reduction (DeTUR) an addiction protocol of eye movement desensitization and reprocessing (EMDR) therapy, to a 29 year old man with paruresis of 10 year duration. Because phobic avoidance is the hallmark of any anxiety disorder, we applied DeTUR targeting the urge to avoid each anxiety provoking situation in succession. After treatment, the participant no longer met the requirements for a diagnosis of social anxiety disorder, and the self reported symptoms of social anxiety had decreased to non clinical levels; furthermore, these treatment gains were maintained at the one year follow up. Further clinical studies are needed to generalize this finding.