Miracle-dz/UniFAR-FTUs huggingface dataset:
THERABOT an Artificial Intelligent Therapist at Your Fingertips

Early study tries to use chatbot for counselling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However, the application did not concerned about psychiatric status through continuous conversation with user monitoring. Furthermore, they had no ethical judgment method that about the intervention of the chatbot. We argue that more reasonable and continuous emotion recognition will make better mental healthcare experiment. It will be more proper clinical psychiatric consolation in ethical view as well. This paper suggests a introduce a novel chatbot system for psychiatric counselling service. Our system understands content of conversation based on recent natural language processing (NLP) methods with emotion recognition. It senses emotional flow through the continuous observation of conversation. Also, we generate personalized counseling response from user input, to do this, we use additional constrains to generation model for the proper response generation which can detect conversational context, user emotion and expected reaction. Keywords— conversational service; response generation; deep learning; -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 11-05-2018 Date of acceptance: 28-05-2018 -------------------------------------------------------------------------------------------------------------------------
THE GENERAL CONFERENCE CONGRESS OF SOUTHEAST ASIAN LIBRARIANS

Technostress is a modern disease of adaptation affecting workers caused by an inability to cope with the new computer technologies in a healthy manner. Coping levels of 57 academic librarians is determined using their responses to 3 sets of questionnaires on customized personal profile, Ragu-Nathan’s technostressors, and Lazarus’ coping mechanism, which were all highly-validated at 4.14. Means and Pearson r reveal low levels from overload, invasion, complexity, insecurity, and uncertainty; and, moderate levels in confrontive coping, distancing, self-controlling, seeking social support, accepting responsibility, escape-avoidance, planful problem solving, and positive reappraisal. Significant relationship exists between techno-stressors and coping mechanism, with academic librarians practicing positive reappraisal coping. In order to mitigate technostressors, library heads are urged to regularly conduct seminars and workshops on accepting responsibility, escape-avoidance, self-controlling, confrontive, and distancing coping; and, organize technology-based training.
Tutorial Proposal : Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join

String data is ubiquitous and string similarity search and join are critical to the applications of information retrieval, data integration, data cleaning, and also big data analytics. To support these operations, many techniques in the database and machine learning areas have been proposed independently. More precisely, in the database research area, there are techniques based on the filtering-andverification framework that can not only achieve a high performance, but also provide guaranteed quality of results for given similarity functions. In the machine learning research area, string similarity processing is modeled as a problem of identifying similar text records; Specifically, the deep learning approaches use embedding techniques that map text to a low-dimensional continuous vector space. In this tutorial, we review a large number of studies of string similarity search and join in these two research areas. We divide the studies in each area into different categories. For each category, we provide a comprehensive review of the relevant works, and present the details of these solutions. We conclude this tutorial by pinpointing promising directions for future work to combine techniques in these two areas.
Stochastic Fracture Mechanics and Size Effect

Quasibrittle materials such as concrete, fiber composites, rocks, tough ceramics, sea ice, dry snow slabs, wood and some biomaterials, fail at different nominal strengths with respect to their structural size. Smaller structures fail in a ductile manner which usually involves distributed cracking with strain-softening. The stress redistribution that is caused by fracture and distributed cracking engenders an energetic size effect, i.e., decrease of the nominal strength of structures with increasing structure size. A structure far larger than the fracture process zone (FPZ) fails in an almost perfectly brittle manner and, if the failure occurs right at the crack initiation, the failure load is governed by the statistically weakest point in the structure, which gives a basis to the statistical size effect. Strategies for capturing the statistical size effect using the stochastic finite element method in the sense of extreme value statistics are presented. They combine feasible types of Monte Carlo simulation based on nonlinear fracture mechanics. This is exemplified by various cases of size effect in plain concrete structures. A special attention is devoted to size effects of concrete reinforcement in the form of yarns made of glass fibers (a new composite material called textile reinforced concrete). The interdisciplinary field of stochastic fracture mechanics is accessed by utilizing new advanced software developments which progress beyond the traditional approach and attempt to treat in a combined manner the reliability theory with fracture nonlinearity. This approach automatically yields not only the statistical part of size effect at crack initiation, but also the energetic part of size effect. Examples of statistical simulations of size effect with nonlinear fracture mechanics software ATENA combined with probabilistic software FREET are presented. Capturing the statistical size effect is made possible by (1) incorporating the analytical results of extreme value statistics into the stochastic finite element calculations, (2) implementing an efficient random field generation, and (3) exploiting small-sample Monte-Carlo type simulation called Latin Hypercube Sampling. The necessary steps towards the results were the development of mathematical tools and algorithms (with their theoretical and numerical validation) and finally software development (FREET). Next, the applications of the methods and software follow aiming at study of size effects in various materials and loading conditions.
Palliative Stent Placement for Malignant Colorectal Obstruction : extracolonic malignancy versus primary colorectal cancer

Palliative Stent Placement for Malignant Colorectal Obstruction: extracolonic malignancy versus primary colorectal cancer Hyungwoo Ahn Department of Clinical Medical Sciences The Graduate School Seoul National University Purpose: To compare clinical outcomes of palliative colorectal stent placement between patients with extracolonic malignancies (ECMs) and primary colorectal cancers (CRCs). Materials and Methods: Between January 2005 and December 2017, 85 patients underwent palliative stent placement for inoperable malignant colorectal obstructions caused either by ECMs (n = 56) or CRCs (n = 29). Technical and clinical success, re-intervention rates, and stent patency were compared between two groups. Predictive factors associated with stent failure were identified. Results: Stent placement was technically successful in 54 patients with ECM (96.4%) and 27 patients with CRC (93.1%) (p = 0.60). ECM group required more re-interventional procedures (20.4% vs. 3.7%; p < 0.05) to achieve marginally lower clinical success rate, compared with CRC group (88.9% vs. 100%; p = 0.07). The 6and 12-month stent patency rates were 64.2% and 22.0% in ECM and 68.4% and 31.3% in CRC group (p = 0.89). Long segmental (HR 1.40) and multiple obstructions (HR 4.03) were independent factors associated with stent failure. Conclusions: Palliative colorectal stent placement is less effective and requires more re-interventions in patients with ECMs than CRCs. Long segmental and multiple obstructions were associated
Information and Real Estate Transactions : The Effects of Pictures and Virtual Tours on Home Sales *

Visual information displayed in residential real estate listings, such as pictures and virtual tours, may facilitate the search and matching process between home buyers and sellers. In this research, we use real estate transaction data to a) explore why some sellers provide more visual information on their listings than others and b) assess its effects on a unit’s transaction price and time on the market. Using instrumental variables, we find that visual contents have a large and positive effect on marketing outcomes. For instance, adding a virtual tour may increase the expected transaction price by about 2 percent and decrease the expected time on the market by about 20 percent.
High order generalized finite difference schemes with compact support for compressible flows

In this paper we propose a new class of high order generalized finite difference schemes on a compact stencil. The variational method is used in the reconstruction procedure. A simple and efficient hybrid approach is proposed for constructing the upwind numerical flux derivatives on a compact stencil. The reconstruction and implicit time integration coupled iterative technique is used to improve the computational efficiency. A new flexible high order boundary treatment is presented in this paper. The WBAP limiter is used to suppress oscillations near discontinuities. Several numerical test cases are solved to validate the accuracy, efficiency, and shock capturing capability of the proposed high order schemes.
Ultrasound Doppler rheometry from spin response of viscoelastic and bubbly Liquids

Ultrasound Doppler technique for velocity profile measurement is applied for the estimation of rheological properties such as viscosity, elastic module, yield stress as well as effective and complex shear viscosities. Scanning of transient velocity profiles on a single ultrasound measurement line allows the measurement to complete the shear strain rate shear stress characteristics only by a single run of spinning fluids inside a cylindrical container. The rheometrical performance is evaluated by several test cases for viscoelastic liquid (PAA), and applied for the measurement of those properties in bubbly liquid to seek the viscoelastic response in Newtonian-gas-liquid combination. The results for bubbly liquid in transient spinning response show that the effective shear viscosity increases high when bubbles are stretched with the shear stress. This trend is totally different from the effective viscosity of bubbly liquid in equilibrium deformation such in a steady Couette flow.
Mathematical modelling of the dynamics of AIDS epidemics development in the world

In this work, mathematical modelling of the dynamics of AIDS epidemics development in the world is performed for the following countries: Russian Federation, Austria, France and Brazil. HIV infection and AIDS are the diseases for which the development is under special control of international community. Annual HIV infection morbidity is up to 3 million cases a year, and the average age of the infected varies over the range of 20-30 years. At the moment, there is no cure for HIV infection. Without supporting treatment, it leads to the development of acquired immune deficiency syndrome (AIDS) and death. Consequently, the spreading of HIV leads to serious economic loss. Mathematical methods are widely applied to the analysis of HIV spreading, forecasting the epidemic development and qualitative evaluation of measure effectiveness. Mathematical description of the HIV epidemic development process allows analyzing the character of the disease for each region deeper, perform the comparative study of statistical and modelled data, make suggestions on further possibilities of HIV infection development and confirm the importance of introducing federal measures of confronting human immunodeficiency viruses. Therefore, authors provide the results of analyzing statistical data for the counties mentioned above, mathematical models of AIDS epidemic development and results of modelling for each region. Over the course of this work, optimal parameter values have been found for an accurate description of statistical data. A comparative study of the current situation for AIDS epidemic in Russian Federation, Austria, France and Brazil. As a result, the conclusion of effectiveness of present measures of confronting HIV infection in these countries.
Effect of dietary fat and sucrose consumption on cardiac fibrosis in mice and rhesus monkeys

Calorie restriction (CR) improved health span in 2 longitudinal studies in nonhuman primates (NHPs), yet only the University of Wisconsin (UW) study demonstrated an increase in survival in CR monkeys relative to controls; the National Institute on Aging (NIA) study did not. Here, analysis of left ventricle samples showed that CR did not reduce cardiac fibrosis relative to controls. However, there was a 5.9-fold increase of total fibrosis in UW hearts, compared with NIA hearts. Diet composition was a prominent difference between the studies; therefore, we used the NHP diets to characterize diet-associated molecular and functional changes in the hearts of mice. Consistent with the findings from the NHP samples, mice fed a UW or a modified NIA diet with increased sucrose and fat developed greater cardiac fibrosis compared with mice fed the NIA diet, and transcriptomics analysis revealed diet-induced activation of myocardial oxidative phosphorylation and cardiac muscle contraction pathways. Research Article Aging Cardiology
O-I-2-12-Bacterial community in intestine of the giant tiger shrimp Penaeus monodon in rearing pond : Effects of shrimp size

The giant tiger shrimp Penaeus monodon is an important aquaculture species for Thailand. In recent years, the industry faced with several challenges such as a lack of suitable broodstocks, environmental impact, and management of diseases. Intestinal bacteria of aquatic animals plays a crucial role in the host animals well-being such as digestion and disease resistance, However, understanding of shrimpbacteria interaction is still limited. The goal of this study is to compare the intestinal bacterial community of the juvenile giant tiger shrimp of different sizes. The shrimp intestinal tract samples were collected and pooled according to size (large, medium and small) and age (2 and 5 month-old shrimp). The total bacterial genomic DNA was extracted and bacterial community was determined using Denatured Gradient Gel Electrophoresis (DGGE) targeting the 16S rDNA V3 region using 338f-GC 517r primer pair. Cluster analysis, 16S rDNA sequencing and phylogenetic analysis were performed. Bacteria from 7 phylogenetic groups included α-, -, and -Proteobacteria, Bacteroidetes, Fusobacteria, and Firmicutes were found. Vibrio spp. were the most predominant group (21 out of 55 clones) and were found in most shrimps. The results indicated that there was no significant difference of bacterial community found among the group of shrimp samples varied in size and age, but the bacterial communities varied significantly between different months of sampling.
Fighting Accident Using Eye Detection forSmartphones

This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood. Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road. KeywordsSmartphones, Android, Multimedia, Eye Blinking, Eye Detection, Software Development
1 PLACEMENT OF RIPARIAN FOREST BUFFERS TO IMPROVE WATER QUALITY

Riparian forest buffers can improve stream water quality, provided they intercept and remove contaminants from surface runoff and/or shallow groundwater. Soils, topography, hydrology, and surficial geology determine the capability of forest buffers to intercept and treat these flows. This paper describes landscape analysis techniques for identifying and mapping locations where forest buffers can effectively improve water quality. One technique employs soil survey and climate information to rate soil map units for how effectively a buffer would treat runoff. Results can be used to compare map units for relative effectiveness of buffer installations to improve water quality and, accordingly, to prioritize locations to support buffer establishment. Within watersheds, another technique uses topographic and stream-flow information to help identify specific locations where buffers are more likely to intercept water moving towards streams. For example, a wetness index, an indicator of potential soil saturation based on terrain, identifies where buffers can readily intercept surface runoff and/or shallow groundwater flows. Maps based on this index can be useful for site-specific buffer placement at farm and small-watershed scales. A case study utilizing this technique shows that riparian forests likely have the greatest potential to improve water quality along first-order streams, rather than larger streams. Some locations are better than others for improving water quality using riparian forest buffers. These landscape analysis techniques use public data and produce results that are broadly applicable to identify priority areas for riparian buffers. The information can guide projects and programs at scales ranging from farm-scale planning to regional policy implementation.
Radiative transfer for IASI

IASI measurements of spectral radiances made between the 1 April 2008 and the 15 April 2008 are compared with simulations performed using the RTTOV fast radiative transfer model utilizing regression coefficients based on different line-by-line models. The comparisons are performed within the framework of the European Centre for Medium-Range Weather Forecasts Integrated Forecasting System using fields of temperature, water vapour and ozone obtained from short-range forecasts. Simulations are performed to assess the accuracy of the RTTOV computations and investigate relative differences between the line-by-line models and the quality of the spectroscopic databases on which the RTTOV coefficients are based.
Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring

Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and technologies that contribute to more efficient and automated infrastructure monitoring. Therefore, a review that summarizes the state of the art of LiDAR (Light Detection And Ranging)-based data processing is presented, giving a special emphasis to road and railway infrastructure. The most relevant applications related to monitoring and inventory transport infrastructures are discussed. Furthermore, different commercial LiDAR-based terrestrial systems are described and compared to offer a broad scope of the available sensors and tools to remote monitoring infrastructures based on terrestrial systems.
VNF-Consensus: A Virtual Network Function for Maintaining a Consistent Distributed SDN Control Plane

—Software Deﬁned Networks (SDN) usually rely on a centralized controller, which has limited availability and scalability by deﬁnition. Although a solution is to employ a distributed control plane, the main issue with this approach is how to maintain the consistency among multiple controllers. Consistency should be achieved with as low impact on network performance as possible, and should be transparent for controllers, without requiring any change of the SDN protocols. In this work we propose VNF-Consensus, a Virtual Network Function that implements Paxos to ensure strong consistency among controllers of a distributed control plane. In our solution, controllers can perform their control plane activities without having to execute the expensive tasks required to keep consistency. Experimental results are presented showing the cost and beneﬁts of the proposed solution, in particular in terms of low controller overhead.
GENERATION FOR TEXT-TO-SPEECH SYNTHESIS BASED ON GENERATIVE MODEL OF F 0 CONTOURS

This paper deals with the problem of generating the fundamental frequency (F0) contour of speech from a text input for text-to-speech synthesis. We have previously introduced a statistical model describing the generating process of speech F0 contours, based on the discrete-time version of the Fujisaki model. One remarkable feature of this model is that it has allowed us to derive an efficient algorithm based on powerful statistical methods for estimating the Fujisaki-model parameters from raw F0 contours. To associate a sequence of the Fujisakimodel parameters with a text input based on statistical learning, this paper proposes extending this model to a context-dependent one. We further propose a parameter training algorithm for the present model based on a decision tree-based context clustering.
FOR SOLVING NONLINEAR INITIAL VALUE PROBLEMS BY COMBINING HOMOTOPY PERTURBATION AND FUZZY REPRODUCING KERNEL HILBERT SPACE METHODS

In the previous works, the authors presented the fuzzy reproducing kernel method(FRKM) for solving various boundary value problems. The nonlinear singular initial value problems including generalized Lane − Emden−type equations are investigated by combining homotopy perturbation method (HPM) and fuzzy reproducing kernel Hilbert space method (FRKHSM). He’s HPM is based on the use of traditional perturbation method and homotopy technique and can reduce a nonlinear problem to some linear problems and generate a rapid convergent series solution in most cases.FRKHSM is also an analytical technique, which can overcome the difficulty at the singular point of non-homogeneous, linear singular initial value problems; especially when the singularity appears on the right-hand side of this type of equations, so it can solve powerfully linear singular initial value problems. Therefore, using advantages of these two methods, more general nonlinear singular initial value problems can be solved powerfully.Some numerical examples are presented to illustrate the strength of the method.