Miracle-dz/UniFAR-FTUs huggingface dataset:
SPLITTING ALGORITHM FOR FAST HIERARCHICAL CONSTRUCTION IN VIRTUAL ENVIRONMENT

Performing collision detection in the simulated environment is always a stumbling block for researchers. Among the problems is to bring the simulated environments as realistic as possible when collision occurs. The response, however, is not always fast as the computational cost to find the collided parts between two successive configurations is high. In this paper, we introduced a splitting algorithm that is able to successfully divide the hierarchical construction in virtual environment. By enhancing the capabilities of splitting rules of Bounding-Volume Hierarchies (BVH), the construction of BVH is improved and is able to provide fast collision detection method between two successive configurations.
CurveBoards Demo: Integrating Breadboards into Physical Objects to Prototype Function in the Context of Form

CurveBoards are breadboards integrated into physical objects. In contrast to traditional breadboards, CurveBoards better preserve the object's look and feel while maintaining high circuit fluidity, which enables designers to exchange and reposition components during design iteration. Since CurveBoards are fully functional, i.e., the screens are displaying content and the buttons take user input, designers can test interactive scenarios and log interaction data on the physical prototype while still being able to make changes to the component layout and circuit design as needed. We present an interactive editor that enables users to convert 3D models into CurveBoards and our fabrication technique for making CurveBoard prototypes.
Audio Fingerprinting for Media Synchronisation and Duplicate Detection

—With the ever-increasing offer of television content as internet broadcast streams, synchronisation of this material with second screen applications has received considerable interest over the last years. We introduce a novel audio ﬁngerprinting method which can be easily implemented, and offer promising experiments on German news show material. Further, we evaluate possible additional usage for audio ﬁngerprinting in the context of duplicate detection whenever different media shows with the same topic recycle shared media fragments. We give an outlook in how far knowledge drawn from our algorithm can be used to enhance a viewer’s experience, by offering automatic skipping and/or recommendation functionality
Reducing Lattice Enumeration Search Trees

We revisit the standard enumeration algorithm for finding the shortest vectors in a lattice, and study how the number of nodes in the associated search tree can be reduced. Two approaches for reducing the number of nodes are suggested. First we show that different permutations of the basis vectors have a big effect on the running time of standard enumeration, and give a class of permutations that give relatively few nodes in the search tree. This leads to an algorithm called hybrid enumeration that has a better running time than standard enumeration when the lattice is large. Next we show that it is possible to estimate the signs of the coefficients yielding a shortest vector, and that a pruning strategy can be based on this fact. Sign-based pruning gives fewer nodes in the search tree, and never missed the shortest vector in the experiments we did.
The relationship between digital game addiction and being neglected by parents in adolescence

Amac: Dijital oyun bagimliligi, “dijital oyun oynayamadiginda huzursuzluk ve/veya sinirlilik”, “oyun oynamak icin ayrilan zamanin fazla olmasi nedeniyle sosyal izolasyon”, “oyun oynamaya ayrilan zamanin kontrol edilememesi” gibi ozelliklerle karakterize bir durtu control bozuklugu olarak tanimlanmaktadir. Ebeveynleri tarafindan ihmal edilen ergenlerin yalnizlik, izolasyon ve depresyon deneyimleyebilecekleri; sosyallesebilmek ve yalnizlik duygusu ile bas edebilmek icin dijital oyunlara ilgi gosterebilecekleri dusunulmektedir. Bu baglamda bu calismada, ergenlerde dijital oyun bagimliligi ile ebeveyenleri tarafindan ihmal edilme duzeyleri arasindaki iliskinin incelenmesi amaclanmistir. Yontem: Arastirmanin calisma grubunu 2018-2019 ogretim yili bahar doneminde Antalya il merkezindeki iki farkli ortaokula devam eden 303 ergen ve ebeveynleri olusturmustur. Calismada yer alan ergenlerden ve ebeveynlerinden sosyo-demografik bilgiler elde edilmesi amaciyla, arastirmacilar tarafindan hazirlanan Kisisel Bilgi Formu, ogrencilerin dijital oyun bagimliligini degerlendirmek amaciyla Dijital Oyun Bagimliligi Olcegi kullanilmistir. Ebeveynlerin cocuklarini ihmal duzeylerinin belirlenmesi amaciyla ise Cok Boyutlu Ihmalkar Davranis Olcegi-Ebeveyn Formu uygulanmistir. Bulgular: Calisma sonucunda, ebeveynlerin ihmalkar davranis duzeyleri ile ergenlerin dijital oyun bagimliligi duzeyleri arasinda istatistiksel acidan anlamli ve pozitif yonde bir iliski tespit edilmistir. Sonuc: Elde edilen sonuclar literaturdeki bulgular dogrultusunda tartisilmis; anne babalara, konu ile ilgili uzmanlara onerilerde bulunulmustur.
Title: Influence of Top Layer Composition on the Photovoltaic Parameters of P3HT:PCBM Organic Solar Cells

Spin and spray deposition techniques have been used sequentially to examine the effect of the composition of top blend layer on the photovoltaic properties of organic solar cells using wellknown poly(3-hexylthiophene):[6,6]-Phenyl C61 butyric acid methyl ester (P3HT:PCBM) blend. Devices were prepared by spraying an extra layer of P3HT or PCBM (~15 nm) onto spin coated (1:1) blend film. P3HT-rich top phase slightly perturbs photovoltaic activity whereas PCBM-rich top phase drastically changes the power conversion efficiencies with a marked decrease in fill factors. While the annealed devices with P3HT-rich top phases display an average of 2.3% power conversion efficiencies, the same number drops to 1.5% in devices with PCBM-rich top phases in the active layer. Carrier mobilities were only marginally affected by the presence of spray coated top layers. However, series resistance of top phase P3HT-rich blends (6 Ω/cm) remained the same with respect to spin coated sample whereas top phase PCBM-rich blends exhibit relatively higher series resistances for both annealed and nonannealed samples (11 Ω/cm). Based on the presented results, one might speculate that electron injection to cathode with P3HT is almost as efficient as with PCBM for active layers utilizing P3HT:PCBM blend.
Robotic Digital X-ray Scanning System for Deep Water Flexible Riser Inspection

Flexible subsea risers are highly complex structures with multiple layers and varying material types. They are being used worldwide for oil and gas extraction in deep water. The complexity of these flexible risers and the hostile conditions in a deep-water environment present major challenges for non-intrusive, in-service inspection. This paper presents a novel automated radiography inspection system to detect defects from X-ray images of such flexible risers. The concept of a robotic digital X-ray scanning system which addresses the needs and challenges of deepwater flexible riser inspections has been studied. The proposed radiography inspection system is an ideal solution for flexible risers as it penetrates through all the layers in the riser structure, providing detailed information on any damage to the various layers. The system integrates the advanced technologies of image processing, machine learning, and robot crawlers to automatically detect abnormal textures such as erosion, corrosion and strand damage, foreign objects and other critical features from flexible risers. The performance of feature extraction, feature normalization, image processing, and machine learning for the purpose of defect detection have been tested and analysed. With smart integration and enhancement of different techniques, the limitations of each algorithms have been mitigated while the overall performance has been improved significantly. The detailed stages of the implementation are also discussed. The key features of the subsea riser inspection system are: (i) Real-time radiographic inspection result, (ii) Robotic system adaptable to various pipe types and sizes, (iii) High accuracy and reliability.
Application of Behavior Therapy for The Management of Problem Behavior Among School Going Children

Problem behavior among school going children is now an emergent areas of research worldwide. Because children with problem behavior not only suffer the maladies in day to day life it also affects their academic and other school related performances. Problem behavior among school going children are broadly categories in two main streams such as externalizing problem behavior and internalizing problem behavior. Externalizing problem behavior such as out of sitting behavior, stealing, making quarrel with friends’ disobedience to the teachers and elders, etc are more common in Indian school going children. As Problem Behavior is a negligible area and not much concern is paid till now, especially in India, availability of treatment is also less. Since Behavior Therapy is one of the influential therapies to treat behaviors, so in the present study the researcher tried to use a combination of techniques of behavior therapy such as Reinforcement through Token Economy, Modeling through video and storytelling, Stimulus Control and relaxation through Jacobson Progressive Muscle Relaxation to treat Problem Behavior among children. Behavior therapy is targeted because it does not involve any single method rather it contains a number of techniques which help the children to improve undesirable behavior.
Water purification and larvicidal activity of seed extract, Momordica charantia

This study was designed to evaluate the median Lethal Concentrations of Momordica charantia seed extract against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus and also analyze the water quality parameter of mosquito bred water. Bioassays were conducted to assess the larvicidal and pupicidal of M. charantia seed extract against An. stephensi, Ae. aegypti and Cx. quinquefasciatus. Their efficacy was tested on twenty five number of the each species with different concentrations of seed extract ranging from 100 ppm to 500 ppm and the mortality was observed after 24 hrs time interval and also water quality parameters such as water color, turbidity and pH were analyzed in the water samples (pre-treatment and post-treatment of seed extract) taken from the breeding sites of mosquitoes. The median Lethal Concentration for A. stephensi was 119.994 ppm, 149.929 ppm, 246.757 ppm, 350.041 ppm and 382.820 ppm for I, II, III, IV Instar and pupae, respectively. Similarly, median Lethal Concentration for A. aegypti was 51.820 ppm (I Instar), 164.843 ppm (II Instar), 228.001 ppm (III Instar), 336.137 ppm (IV Instar) and 354.26 ppm (Pupae) and median Lethal Concentration for C. quinquefasciatus was 80.973 ppm, 146.755 ppm, 239.018 ppm, 333.758 ppm and 370.418 ppm for I, II, III, IV Instar and Pupae, respectively. Water quality parameters of mosquito bred water showed improved qualities in water color, turbidity and pH after the treatment at very low dosage. Overall of this results emphasized that the M. charantia seeds extract to be an effective mosquito control agent and water purification mediator.
Energy and Material Flows and Carbon Footprint Assessment Concerning the Production of HMF and Furfural from a Cellulosic Biomass

5-hydroxymethyl-furfural (HMF) and furfural are interesting as potential platform chemicals for a bio-based chemical production economy. Within the scope of this work, the process routes under technical development for the production of these platform chemicals were investigated. For two selected processes, the material and energy flows, as well as the carbon footprint, were examined in detail. The possible production process optimizations, further development potentials, and the research demand against the background of the reduction of the primary energy expenditure were worked out.
Defining Crime: A multifaceted approach based on Lexicographic Relevance and Distributional Semantics

This paper demonstrates how the parallel examination of distributional data and frame semantic information can expose word senses that are not documented in FrameNet. In our case study, we compare the distributional features of the word crime to its properties stored in the FrameNet database also considering dictionary data that we find in three online monolingual dictionaries. Our analysis indicates that crime has senses that are absent from FrameNet. The five senses that we identify can be separated on the basis of (a) frame hierarchies, (b) frame elements, (c) syntactic and semantic data extracted from corpora using lexicographical tools and (d) distributional similarity. Annotated examples are provided to demonstrate each sense.
Comparing Software Cost Estimation Using Scott-Knott Test

: Software cost Estimation is the approximate judgement of the costs for a project. It is to predict the most realistic effort needed to complete a software project. Accurate effort prediction is done by comparing the trained dataset through multiple algorithms. In this paper, the proposed cost estimation model identifies the differences in accuracy of data set, and also clusters it into non-overlapping groups. Specific technologies are not bound in modern software development methodologies. To overcome this problem a system is proposed to improve cost effort estimation methods and then compared using appropriate statistical procedures for ensuring the appropriate results. The Scott Knott test is to perform multiple comparisons without ambiguity. The proposed modification related to the partitioning and means grouping to obtain results without ambiguity among models. In the proposed methodology, models that did not participate in the initial group are joined for a new analysis, which allows for a better group distribution.
KOI Pond: The “Elevator Pitch” that Adapts to Describe the Breadth and Variety of Clinical Informatics Practice

Abstract Background The practice of clinical informatics (CI) is diverse and frequently tailored to individual skills and interests or to organizational/departmental needs. Prior studies have sought to define core content areas, educational milestones, and practice patterns within the clinical informatics subspecialty (CIS). Unfortunately, no single tool or framework currently exists that can succinctly define an informatician's role regardless of setting. The diversity of informatics practice makes it difficult to have one “pitch” that describes all possible domains, tasks, knowledge, and skills available to an informatician. Objective Using qualitative data from multiple informaticians, provide a succinct framework to describe and compartmentalize the various functions an informatician can contribute to the healthcare field. Methods We created an iterative focus group of five CIS fellows enrolled in different fellowship programs nationwide, one CIS program director, and an MD-PhD candidate in biomedical informatics. After much discussion, iteration, and consideration of career options within a young and burgeoning subspecialty, a dual-axis model was created that describes CIS practice in terms of settings (internal, external, and policy) and focus areas (knowledge, operations, and innovation). Results and Conclusion By combining both axes into a single “KOI pond” and then prioritizing sections by interest/resource investment, we are able to generate a unique snapshot for each informatician. These snapshots can be used (1) by informaticians to characterize their own practice succinctly as a pitch, (2) by CIS fellows who are considering career options, and (3) by those unfamiliar with CIS who want to learn more.
Design and Construction of Densification Machine for Vegetables in Rural Settlements

This research work was carried out to improve the storage space and effective handling of dried vegetables specifically tomatoes, onion and okra, for consumers and marketers. The machine basically consists of an upper compression plate, machine mould, piston, lower compression plate and a 3-tons hydraulic jack. The machine performance was evaluated based on Output Capacity and Machine Compression Efficiency. The results showed that the machine output capacity and efficiency were 0.291 kg/h and 96.3%, respectively. The machine production cost stood at N35,000.00 only. The machine is therefore recommended to farmers.
Spatial and temporal changes of primary production in a deep peri-1 alpine lake 2

11 Lake productivity is fundamental to biogeochemical budgets as well as estimating ecological 12 state and predicting future development. Combining modelling with Earth Observation data 13 facilitates a new perspective for studying lake primary production. In this study, primary 14 production was modelled in the large Lake Geneva using the MEdium Resolution Imaging 15 Spectrometer (MERIS) image archive for 2002–2012. We used a semi-empirical model that 16 estimates primary production as a function of photosynthetically absorbed radiation and quantum 17 yield of carbon fixation. The necessary input parameters of the model—concentration of 18 chlorophyll a, downwelling irradiance, and the diffuse attenuation coefficient—were obtained 19 from MERIS products. The primary production maps allow us to study decennial temporal (with 20 daily frequency) and spatial changes in this lake that a single sample point cannot provide. 21 Modelled estimates agreed with in situ results (R = 0.68) and showed a decreasing trend (~27%) 22 in production in Lake Geneva for the selected decade. Yet, in situ monitoring measurements 23 missed the general increase of productivity near the incoming Rhône River. We show that the 24 temporal and spatial resolution provided by satellite observations allows to estimates of primary 25 This document is the accepted manuscript version of the following article: Soomets, T. , Kutser, T. , Wüest, A. , & Bouffard, D. (2019). Spatial and temporal changes of primary production in a deep peri-alpine lake. Inland Waters, 9(1), 49-60. https://doi.org/10.1080/20442041.2018. 1530529
“Because the computer said so!” Can computational authorship analysis be trusted?

This study belongs to the domain of authorship analysis (AA), a discipline under the umbrella of forensic linguistics in which writing style is analysed as a means of authorship identification. Due to advances in natural language processing and machine learning in recent years, interest in computational methods of AA is gaining over traditional stylistic analysis by human experts. It may only be a matter of time before the software will assist, if not replace, a forensic examiner. But can we trust its verdict? The existing computational methods of AA receive critique for the lack of theoretical motivation, black box methodologies and controversial results, and ultimately, many argue that these are unable to deliver viable forensic evidence. The study replicates a popular algorithm of computational AA in order to open one of the existing black boxes. It takes a closer look at the so-called “bag-of-words” (BoW) approach – a word distributions method used in the majority of AA models, evaluates the parameters that the algorithm bases its conclusions on and offers detailed linguistic explanations for the statistical results these discriminators produce. The framework behind the design of this study draws on multidimensional analysis – a multivariate analytical approach to linguistic variation. By building on the theory of systemic functional linguistics and variationist sociolinguistics, the study takes steps toward solving the existing problem of the theoretical validity of computational AA.
Running head: WORKING MEMORY IN VERY-LOW-BIRTH-WEIGHT CHILDREN 1 Working Memory in Very-Low-Birth-Weight-Children at the Age of 11 Years

The aim of this study was to investigate the working memory (WM) of very-low-birth-weight (VLBW, ≤ 1500 g) children at the age of 11 years using Baddeley’s WM model. The regional cohort of 95 VLBW children was assessed for the domains of the WM model (central executive [CE], visuospatial sketchpad [VS], and phonological loop [PL]) using subtests from the Working Memory Test Battery for Children and the WISC-IV. VLBW children were categorized into three groups according to their degrees of brain pathology (normal, minor, or major) in neonatal brain magnetic resonance imaging at the term age, and the WM performance was compared between groups to test norms. The structure of the WM model was studied by analyzing correlations among domains. Even VLBW children with normal cognitive development (general ability index ≥ 85) performed poorer compared to the test norms (M = 100, SD = 15) in CE (M = 87.64, SD = 20.54, p < .001) and in VS (M = 91.65, SD = 11.03, p < .001), but their performance in PL was above the norm (M = 110.79, SD = 13.79, p < .001). VLBW children with major brain pathology performed significantly poorer compared to other groups in VS and PL. The correlations among the WM domains of the VLBW children differed from earlier findings in normative populations. To conclude, the WM of VLBW children differed especially in CE and VS from the normative population irrespective of the degree of brain pathology or the level of cognitive development.
A battery-less NFC sensor transponder for museum artefact monitoring - a review of NFC sensor technology and a proposed solution

This paper presents a novel, low-cost, batteryless Near-Field Communication (NFC) sensor transponder for museum artefact monitoring of Cultural Heritage objects. The proposed solution combines a unique combination of packaging materials and NFC technology to enable a low-cost preventive conservation solution that is practical to implement, something that is not possible at present. Cultural Heritage objects and artefacts are valuable objects housed by museums and are often stored in uncontrolled climatic conditions, which may lead to degradation of these objects. Preventive conservation is a new strategy that aims to avoid future degradation of these types of valuable objects. Recently, NFC sensor transponders have shown an increased use in food and pharmaceutical cold supply chains for monitoring, but these commercial solutions are expensive to implement and cannot be easily adapted for museum artefact monitoring. In this work, we present a battery-less, long shelf life, low-cost sensor transponder for monitoring the temperature and humidity conditions inside cardboard artefact storage boxes. In developing the proposed solution, the state of the art NFC sensor technology is first reviewed in detail, and a battery-less NFC sensor transponder is proposed with a cost of less than €5 in quantities of 10k. In addition to this, early-stage prototype results are also presented. KeywordsArtefacts; Battery-less; Cultural Heritage; Energy Harvesting; High-Frequency RFID; Internet of Things; Museum; NFC; Preventive conservation; Sensor Technology.
A phase II prospective study of definitive thoracic concurrent chemoradiation followed by consolidation chemotherapy for oligometastatic non-small cell lung cancer.

e19008 Background: Stage IV non-small cell lung cancer (NSCLC) carries a poor prognosis with a median survivals of 8-10 months. The standard treatment has traditionally been systemic chemotherapy and palliative radiotherapy for symptom relief. Some data has suggested that patients with oligometastatic NSCLC may benefit from aggressive thoracic radiotherapy. The aim of this study was to evaluate the efficacy and toxicity of definitive thoracic concurrent chemoradiation followed by consolidation chemotherapy in oligometastatic NSCLC. Methods: Patients with oligometastatic NSCLC, aged ≤ 75 years, and WHO performance status of 0-1 were enrolled. Oligometastatic NSCLC was defined as 5 or fewer distant metastatic lesions at diagnosis. Patients were treated with definitive thoracic radiotherapy (biological equivalent dose ≥ 60Gy) concurrent with platinum-based, two-drug chemotherapy. After concurrent chemoradiation, patients received 2-4 cycles of consolidation chemotherapy. The primary endpoint was progression-.