Miracle-dz/UniFAR-FTUs huggingface dataset:
Use on Bounded and Unbounded Number Lines in Typically Developing Adults and Adults With Dyscalculia

Recent research suggests that bounded number line tasks, often used to measure number sense, measure proportion estimation instead of pure number estimation. The latter is thought to be measured in recently developed unbounded number line tasks. Children with dyscalculia use less mature strategies on unbounded number lines than typically developing children. In this qualitative study, we explored strategy use in bounded and unbounded number lines in adults with (N = 8) and without dyscalculia (N = 8). Our aim was to gain more detailed insights into strategy use. Differences in accuracy and strategy use between individuals with and without dyscalculia on both number lines may enhance our understanding of the underlying deficits in individuals with dyscalculia. We combined eye-tracking and Cued Retrospective Reporting (CRR) to identify strategies on a detailed level. Strategy use and performance were highly similar in adults with and without dyscalculia on both number lines, which implies that adults with dyscalculia may have partly overcome their deficits in number sense. New strategies and additional steps and tools used to solve number lines were identified, such as the use of the previous target number. We provide gaze patterns and descriptions of strategies that give important first insights into new strategies. These newly defined strategies give a more in-depth view on how individuals approach a number lines task, and these should be taken into account when studying number estimations, especially when using the unbounded number line.
OF DISTRIBUTION AND DIVERSITY OF BUTTERFLY ( LEPIDOPTERA : RHOPALOCERA ) FAUNA IN JOHOR , MALAYSIA Aqilah Awg

The objectives of this paper are to (i) review the diversity and distribution of butterflies in different forested areas of Johor and (ii) compare the species composition in each study site. Data is based on field sampling and published records. This paper was able to review study sites from records dating as early as 1987. Study sites include Taman Negara Johor Endau Rompin (TNJER) Peta, TNJER Selai, Gunung Ledang, Bukit Reban Kambing, Bukit Soga and Hutan Lipur Sg Bantang. To evaluate the variation in butterfly diversity in the different forest, the study sites were characterized by describing and comparing overlapping species using hierarchical cluster analysis. To date, a total of 396 species of butterflies are recorded so far in Johor. This accounts for 37.57% of the overall butterfly fauna in Peninsular Malaysia. The highest species richness was recorded in TNJER with a total of 349 species discovered to date. Based on the cluster analysis, species composition in TNJER Peta and Selai showed the highest similarity at 37%. Locality with the most different species composition was Bukit Tukau, Bukit Belading and Bukit Reban Kambing with only 7% similarity. Remarkably, many of the protected species under Wildlife Conservation Act 2010 can be found in Johor. These species include Zeuxidia aurelius aurelius (Cramer), Polyura eudamippus peninsularis (Pendlebury), and Troides helena cerberus (C. & R. Felder). Data obtained from this paper is important for future planning and management of conservation areas in Johor.
Schema crawled API documentation exploration

An increase in open APIs deployed for public use have been seen to grow rapidly in the last few years and are expected to do so even faster in the future. This thesis deliver a design that reduces the API documentation exploration process by recommending a range of suitable APIs for any user. This is done as a response to the increased complexity in API selection that follows as a consequence of the increased choice between APIs. This design suggestion consists of two main components; a tailor-made web crawler that collects API documentation and a handler that indexes the documentation and evaluates XML Schema for supposed API input and output searches. The services computational chain creates an overview on the API containing domains and a ranked list of APIs based on key-phrases applied by any user. Experiments of an implemented version of the service revealed that the indexation process creates a table that causes the service to run slower as the reach of the service grows. In other words, the indexed data stored on disk causes a scalability issue that does not get resolved in this thesis. Aside from performance problems have the service been shown to yield data that can be considered useful for developers in need of API recommendations.
Deep Reinforcement Learning for Task-Oriented Dialogue

Despite major advances in NLP over the past decade, most deployed task-oriented chatbots are implemented as a hand-coded Finite State Machine (FSM) architecture, where user utterances matching pre-defined patterns transition the dialogue from one state to the next. The open-source framework Rasa (rasa.com) has popularized a new architecture for chatbots with flexible dialogue states and transitions that can be learned [1] rather than pre-defined. However, there exists a training data problem within this new architecture. Rasa requires training data for both NLU (intent recognition and parsing) and dialogue state management, but hand-annotating examples for training is a time-consuming and expensive process. Moreover, there is no simple way to leverage the conversation data generated by chatbots deployed in the field. In this paper, we demonstrate the viability of end-to-end Deep Reinforcement Learning for automatic and continuous learning for a chatbot agent. We describe the process of building a machine-learned action policy model for a chat agent to approximate the behavior of a deployed system, heuristics and conversational cues to extract rewards from unannotated conversation logs, and finally the use of Reinforcement Learning to improve performance over our baseline.
Radiation effect on mixed convection flow of nanofluid between two concentric cylinders with Hall and Ion-slip effects 1

This paper analyzes the effects of thermal radiation, Hall and ion slip parameter on mixed convective nanofluid flow in an annuli between two concentric cylinders in the existence of strong magnetic field. The nonlinear governing equations are non-dimensionalized and then solved by using homotopy analysis method. The influence of radiation, magnetic, Hall and ion slip parameters on the velocity, temperature, nanoparticle concentration, Nusselt number and nanoparticle Sherwood number are investigated and represented graphically.
Strain Engineering for Performance Enhancement in Advanced Nano Scaled SOI-MOSFETs

With the current slow-down in metal oxide semiconductor field effect transistor (MOSFET) scaling due to physical limits of gate oxides, alternative techniques are needed for next generation technologies. The integration of stress techniques into a CMOS flow results in remarkable performance improvements. A comparison between the various stress-inducing methods is given on the basis of experiments and simulations. The stress transfer mechanisms from the stress source inside the device structure are studied and various integration challenges of the multiple stress techniques are addressed. Finally, the potential for performance enhancements in future nano scaled technologies is investigated and the parasitic source/drain resistance is identified as one of the major obstacles on this way.
Autoencoder and selectional preference

Intuitively, some predicates have a better fit with certain arguments than others. Usage-based models of language emphasize the importance of semantic similarity in shaping the structuring of constructions (form and meaning). In this study, we focus on modeling the semantics of transitive constructions in Finnish and present an autoencoder-based neural network model trained on semantic vectors based on Word2vec. This model builds on the distributional hypothesis according to which semantic information is primarily shaped by contextual information. Specifically, we focus on the realization of the object. The performance of the model is evaluated in two tasks: a pseudo-disambiguation and a cloze task. Additionally, we contrast the performance of the autoencoder with a previously implemented neural model. In general, the results show that our model achieves an excellent performance on these tasks in comparison to the other models. The results are discussed in terms of usage-based construction grammar.
T Time-Aware Egocentric Network-Based User Profiling

Egocentric network A special type of social network that involves a focal user called “ego. ” The egocentric network of a user (ego) consists of the individuals called “alters” having a direct relationship with the user (ego) together with the relationships between these individuals User profile A record of user information (personnel data, preferences, interests). In information systems, adaptive information mechanisms (e.g., personalization, information access, recommendation) rely on user profiles to propose relevant content according to the userspecific needs Social profile A particular user profile in which the interests are extracted from the information of user social network members
FLOW DYNAMICS REGIMES VIA NON-DIFFERENTIABILITY IN COMPLEX FLUIDS

A new topic in the analyses of complex fluid dynamics, considering that the movements of the complex fluid entities take place on continuum but nondifferentiable curves is proposed. It results that in the dispersive approximation of motion, two distinguished flow regimes (non-quasi-autonomous and quasiautonomous) by means of cnoidal modes of a velocity field can be established. The self-similarity of these modes specifies both the existence of some “cloning” mechanisms but also holographic behaviours. Some correlations with experimental data in plasma ablation are presented.
Observation and modeling of induction effect on human transferrin production from stably transfected Drosophila S 2 cell culture

Human transferrin (hTf) is a serum glycoprotein involved in iron transport. We performed, for the first time, mathematical modeling of stably transfected insect Drosophila melanogaster S2 cell culture, a nonlytic plasmid-based system that secretes recombinant hTf under control of the copper sulfate-inducible Drosophila metallothionein promoter. Cell growth patterns at various inducer concentrations revealed that the specific growth rate of S2 cells was substantially reduced as the specific rate of recombinant hTf production increased, and recovered to some extent when recombinant hTf production was nearly stopped. Additionally, the time profiles of specific production rates exhibited a maximum in the early c t c p c ©
Impact of tillage systems on growth and yield of Mungbean ( Vigna radiata L . , Wilczek ) varieties under dryland condition

The objective of this experiment was to study the impact of different tillage systems (zero, conventional, maximum and minimum) on growth and yield performance of four mungbean varieties (NM-92, NM-93, NF9M12-12 and Local) under dryland condition. The experiment was laid out in randomized complete block design with split plot arrangement having four replications. Tillage systems were allotted to the main plots and varieties to subplots. The results revealed that higher emergence m (19 seedling m), delayed emergence (6 days), higher number of branches (5 branches plant) and number of pods plant (20), taller plants (54 cm), heavier 1000-grains (26.08 g) and highest grain yield (384 kg ha) was recorded for variety NM92. Increase in number of tillage had resulted in significantly higher number of seedlings m (24), early emergence (6 days), minimum number of branches plant (4), taller plants (66 cm), higher number of pods plant (23), higher biological (2023 kg ha) and grain yield (402 kg ha ). It was concluded from this study that growing mung variety “NM-92” under maximum tillage system showed promising results in terms of higher yield and yield components under dryland
ScienceDirect International High-Performance Built Environment Conference – A Sustainable Built Environment Conference 2016 Series ( SBE 16 ) , iHBE 2016 Cost-benefit prediction of green buildings : SWOT analysis of research methods and recent applications

In the literature, there is a great variation in the cost-benefits due to the differing methodologies used in the estimation. This study aims at presenting a literature review of cost-benefit prediction methods combined with a SWOT analysis, particularly emphasising data collection and analytical approach. Findings show that the methods used in green building cost-benefit studies can be grouped into different categories in terms of data collection and analytical approach. Each method has its advantages and disadvantages with divergent capabilities. This literature review revealed that much of the current cost-benefit research lacks validity and reliability, and has different degrees of bias. © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee iHBE 2016.
DEGRADABILITY OF FIVE FICUS SPECIES USING IN SITU AND IN VITRO TECHNIQUES * 1

The objective of this work was to evaluate the dry matter degradability of five Ficus species using in situ and in vitro techniques. Five browse forages were used for the experiment. The in situ rumen degradability kinetics was determined using the nylon bag technique, and the in vitro degradability was by gas production technique. The crude protein (CP) content was generally high for all the Ficus species and there were significant differences (P<0.05) among the browses for all the studied chemical composition. There were also significant differences (P<0.05) among the Ficus species for all the incubation periods for both in situ and in vitro studies. Significant differences (P<0.05) were also observed for degradation characteristics parameters for both in situ and in vitro techniques, except for rate of degradation ‘c’ which was not significant for both techniques. The results of the relationship between in situ dry matter disappearance and in vitro gas production were highly significant and positively correlated, except at 12 and 72 h incubation periods which were weakly correlated. The correlation coefficient (r) between in situ and in vitro fermentation characteristics was highly significant and positively correlated, except for lag time (r = 0.018) which was not significant (P>0.05) but positively correlated. It can be concluded that there were positive correlations between in situ and in vitro gas production parameters. Highly significant and positive correlations were also observed between the in situ and in vitro fermentation characteristics showing relationship and interdependency between the two techniques.
High Gain Amplifier for Underwater Acoustic ( UWA ) Platform

Improved acoustic platform would allow more efficient transmission of information between Underwater Acoustic (UWA) equipment such as autonomous vehicles, piloted vehicles, and underwater profilers. A flexible and configurable UWA modem is required for easy modification in order to be employed for different UWA equipment. In this paper, we proposed an underwater acoustic platform using software defined radio (SDR) platform called GNU radio and universal software defined radio peripheral (USRP). The UWA modem design includes an amplifier that is designed for the USRP. The experiments shown that using the USRP amplifier the bit rate of the transmission is improved and a significant increment of the number of packet received.
Anergy into T regulatory cells : an integration of metabolic cues and epigenetic changes at the Foxp 3 conserved non-coding sequence 2

Peripheral immune self-tolerance relies on protective mechanisms to control autoreactive T cells that escape deletion in the thymus. Suppression of autoreactive lymphocytes is necessary to avoid autoimmunity and immune cell–mediated damage of healthy tissues. An intriguing relationship has emerged between two mechanisms of peripheral tolerance—induction of anergy and Foxp3 regulatory T (Treg) cells—and is not yet well understood. A subpopulation of autoreactive anergic CD4 T cells is a precursor of Treg cells. We now hypothesize that phenotypic and mechanistic features of Treg cells can provide insights to understand the mechanisms behind anergy-derived Treg cell differentiation. In this short review, we will highlight several inherent similarities between the anergic state in conventional CD4 T cells as compared with fully differentiated natural Foxp3 Treg cells and then propose a model whereby modulations in metabolic programming lead to changes in DNA methylation at the Foxp3 locus to allow expression following the reversal of anergy. Foxp3
The Average End-to-End Delay and Average Through put Comparison of Multicast Routing Protocols in MANETs for Real-Time Streaming

Multicasting is an effective way to establish a group communication where each message is delivered from a sender to all the members of the group. These groups can be open or closed. A lot of multicast routing protocols have been developed yet for closed group applications. To avail live radio/TV or multimedia type transmission without any membership management, we call it open-MANETs. SLIM+ is proposed (Shaikh et al., 2014) , implemented (Hussaini, and Shaikh, et al, 2016), compared and evaluated in different scenarios and found a robust protocol (Hussaini, and Shaikh, et al, 2017). In this paper SLIM+ is compared with MAODV and PUMA multicast routing protocols and the Average Throughput and Average End-to-End Delay is presented after the comparative study. NS2-Version 2.35 is used for the comparative assessment of these protocols
Reproductive Factors and Breast Cancer Risk

A neoplasm, also referred to as a tumor, is an abnormal mass of tissue, the growth of which exceeds and is uncoordinated with that of normal tissue and remains in the same excessive manner even after removal of the stimuli which evoked the changes. Tumors may be either benign or malignant. Benign tumors remain localized and are amenable to surgical removal, whereas malignant tumors, i.e. cancerous ones, adhere to any part in an obstinate manner, often invade surrounding tissue, and metastasize to distinct sites. Breast cancer occupies second place as the most occurring cancer in terms of incidence. Breast cancer is a heterogenous cancer, mostly linked with reproductive and hormonal factors in its occurrence. Nulliparous, younger age at menarche, early age pregnancy, older age at first live birth, late menopause, prolonged interval between menarche and first pregnancy, repeated abortions, first pregnancy after 35 years, and no/less breastfeeding are major risk factors for breast malignancies. Recent studies have shown that the implications of reproductive and hormonal factors in patients with breast cancer are associated mostly with BRCA1 (breast cancer gene 1) and BRCA2 (breast cancer gene 2) gene mutations.
An In-depth Comparison of Compilers for Deep Neural Networks on Hardware

Deep neural networks (DNNs) are currently the foundation for many artificial intelligence tasks. The difficulty of mapping NN models to high-performance hardware implementations arises from factors ranging from the computation complexity of multiple operations to different hardware features such as memory hierarchy and parallelism. In this article, we present a generic compiler process flow and make an in-depth comparison of compiler frameworks regarding their domain-specific language (DSL), intermediate representations (IRs), optimization strategies and autoscheduling methods. We reimplement typical NN models based on these compiler frameworks and evaluate the resulting performance. We also review our previous work(Deep Neural Network Virtual Machine, DNNVM) on compiler frameworks and optimization for a custom FPGA-based accelerator to gain inspiration regarding the difference between compiler design for general-purpose processors and that of FPGA-based accelerators.
ON SOME CLASSES OF EXACT SOLUTIONS OF SCALAR BORNÄINFELD EQUATION

BornÄInfeld theory is some generalization of Maxwell theory of electromagnetism. It was created by Max Born and Leopold Infeld, as a continuation of Mie theory of electromagnetism, [3]. Mie wanted to construct such a theory, in which all properties of electron were caused by electromagnetic ˇeld. However, this theory was not gauge-invariant. Born and Infeld suggested full relativistic and gauge-invariant theory, which Lagrangian density is given by the square root of the determinant of the sum of the metric tensor and the tensor of the electromagnetic ˇeld [2, 3]. In this paper we will investigate scalar BornÄInfeld equation [1]:
LiteX: an open-source SoC builder and library based on Migen Python DSL

LiteX is a GitHub-hosted SoC builder / IP library and utilities that can be used to create SoCs and full FPGA designs. Besides being open-source and BSD licensed, its originality lies in the fact that its IP components are entirely described using Migen Python internal DSL, which simplifies its design in depth. LiteX already supports various softcores CPUs and essential peripherals, with no dependencies on proprietary IP blocks or generators. This paper provides an overview of LiteX: two real SoC designs on FPGA are presented. They both leverage the LiteX approach in terms of design entry, libraries and integration capabilities. The first one is based on RISC-V core, while the second is based on a LM32 core. In the second use case, we further demonstrate the use of a fully open-source toolchain coupled with LiteX.
ESTIMATION OF RELATIONSHIP BETWEEN INFLATION AND RELATIVE PRICE VARIABILITY : GRANGER CAUSALITY AND ARDL MODELING

The objective of this research paper is to examine the relationship between relative price variability and inflation by using consumer price index (CPI) of Pakistan. The outcomes of the research further divided into food and non-food groups too. The monthly data of CPI was taken from the Pakistan Bureau of Statistics, from August 2001 to July 2011 (with 2000-01 base) for 92 composite commodities with 12 sub-groups. We employed the Granger causality testing approach for the evaluation of any possible influence of one indicator to another. In this scenario, it is viable to state that there is a presence of causality and bidirectional feedback between the variables or the two variables are independent. The major issue is to identify a suitable statistical method that enables us to analyze the association among the variables. The findings of this study demonstrated that there is a probable relationship between inflation (DPt) and both un-weighted measures of price variability (VPt and SPt) for the whole items that have been considered for the analysis. Apart from that, this association also exists between food and non-food categories of CPI basket.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEADS TOGETHER (NHT) PADA MATA KULIAH PERSAMAAN DIFERENSIAL PROGRAM STUDI PENDIDIKAN MATEMATIKA FKIP

This research aims at increasing students cognitive and affective understanding in differential equation subject by applying NHT cooperative learning model at semester V of mathematical education study program, Mataram University, academic year 2011/2012. This research is a classroom action research which is carried out in 3 cycles. In the last cycle, it is shown that NHT cooperative learning has run optimally with the learning exhaustiveness achieved 88,89%. This result indicates that NHT cooperative learning can be made as one of instruction models in university, especially in differential equation subject.