Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Self-Guiding Robot with Assistance of RFID tags and WiFi Localization System

We consider building an indoor low-cost mobile robot that can be used in home or office applications. Due to the complication and dynamic changing nature of a home/office environment, it is essential for such a robot to be self-guiding in the sense that it is able to determine its current location as well as navigate to locations which it is commanded to. By integrating with wireless communication, indoor localization, and RFID technologies, it is possible to build a self-guiding robot at low cost. We propose an architecture to achieve this goal at centimeter-to-meter level accuracy. A robot can even roam into an area which is new to it. We achieve this goal by allowing a robot to download the indoor map in its vicinity. With WiFi localization, it determines its rough location at meter-level accuracy. From the downloaded map, it then tries to track any RFID tag in the indoor map, on which events it actually localizes itself at centimeter-level accuracy. To verify our results, we demonstrate a prototyping system based on iRobot. Our results have potentially important implications on future digital home/office.
ВЕСТНИК НОВЫХ МЕДИЦИНСКИХ ТЕХНОЛОГИЙ (ЭЛЕКТРОННЫЙ ЖУРНАЛ) Journal of New Medical Technologies, eEdition

The maintenance of registers on problem areas of health requires careful verification of data at all levels of collection. To this end, individual modules, along with built-in monitoring tools, are created that allow you to identify errors after the accumulation and statistical processing of the data array, including the points for analytical testing. The article suggests the analysis of the monotony of changing factors as one of the methods of analytical testing on the example of the real case of mortality monitoring in the Tula region. As a source of information, the mortality register was used, in the base of which the deaths of the population of the Tula region were accumulated and verified from 2007 to 2016. The reliability of the information was provided by software tools built into the register, methods and, above all, an external module for automatically determining the original cause of death. Analysis of diseases of the nervous system and diseases of the circulatory system as an original reason showed an abrupt change in the number of cases in 2013 and the average life expectancy. The above example shows that a violation of the monotonicity of the change in the analyzed factor can be used as one of the methods of analitical testing. The proposed method makes it possible to identify methodological errors that can lead to serious consequences and significantly reduce the effectiveness of monitoring in key health categories such as mortality and life expectancy.
Towards translating perceptual distance from hearing to vision using neural networks

Aims/goals The goal of this research project is to develop a system mapping sounds to images in a manner that respects perceptual distances in both modalities. In other words, the degree of perceived difference between two sounds should be reflected in the dissimilarity of the images generated from those sounds. This is not a trivial problem, and there does not seem to be much work of reference on the translation of perceptual distances between modalities. In our approach, timbral features are used to measure perceived auditory distance and a neural network for style transfer is used to synthesize textural images. Our software project allows users to select sound-image pairings that are meaningful to them, which can then be extrapolated to other sounds. The generated images aim to assist the task of distinguishing between different musical sound samples without needing to hear them.
Interaction Order and Historical Body Shaping Children's Making Projects - A Literature Review

The importance of familiarizing children with the Maker Movement, Makerspaces and Maker mindset has been acknowledged. In this literature review, we examine the complex social action of children, aged from 7 to 17 (K-12), engaging in technology Making activities as it is seen in the extant literature. The included papers contain empirical data from actual digital Making workshops and diverse research projects with children, conducted in both formal and non-formal/informal settings, such as schools or museums, libraries, Fab Labs and other makerspaces. We utilized the theoretical lens of nexus analysis and its concepts of interaction order and historical body, and as a result of our analysis, we report best practices and helping and hindering factors. Two gaps in the current knowledge were identified: (1) the current research focuses on success stories instead of challenges in the working, and, (2) histories of the participants and interaction between them are very rarely in the focus of the existing studies or reported in detail, even though they significantly affect what happens and what is possible to happen in Making sessions.
The Competition between Gesture and Speech Production

The relationship between speech and gesture was analyzed in four experiments that compared the initiation time of manual movements in single gestural tasks and in dual verbal–gestural tasks. Likewise, vocal onset time was compared in single oral and in dual tasks. The findings of the study of Levelt et al. (1985) on deictic expressions were replicated. Performance of a concurrent task delayed the vocal onset time but not the gestural initiation time. Interference in the initiation of the vocal response did not diminish with a precueing procedure that facilitated response preparation. In conclusion, support is provided for the assumption of competition for shared resources by the gestural and speech production systems. These systems are also assumed to interact beyond the moment at which responses are selected. q 1997 Academic Press
The Housing Bubble and the US Labor Market after The Great Recession

Throuhgout this paper we aim to provide a comprehensive outlook on the conditions of the US labor market before, during, and after the 2008 recession. First, we survey a multitude of causes given for the severity of the recession and the subsequent weak labor market recovery, paying particular attention to both the arguments on the structural as well as those on the cyclical side of the unemployment debate. Next, we analyze major US labor market flows and trends to determine the long-term direction of gross labor flows as well as any significant deviations from the trends during and around the 2008 recession that might explain the lack of a robust recovery. Then, we conduct an overview of the significance of household leverage for the recovery by contrasting consumers that are highly levered with those that are low levered and determining the effects on future consumption growth. After that, we develop our own analysis using vector autoregressive models to estimate the relationship between a number of household balance sheet variables and the job creation rate and find that, given our ongoing assumptions, household leverage does play a significant role in the job creation mechanism. Finally, we offer timely policy advice that could alleviate some labor market issues and streamline a smoother recovery. Mihai V. Dohotaru ‘13
Clinical Usefulness of a Totally Laparoscopic Gastrectomy

Purpose: In Korea, the number of laparoscopy-assisted distal gastrectomies for early gastric cancer patients has been on the increase. Although minimally invasive surgery is more beneficial, no reported case of a total laparoscopic gastrectomy has been reported because of difficulty with intracorporeal anastomosis. This study attempts, through our experience, to determine the safety and feasibility of a total laparoscopic gastrectomy with various types of intracorporeal anastomosis using laparoscopic linears stapler in treating early gastric carcinomas. Materials and Methods: We investigated the surgical results and clinicopatholgical characteristics of 81 patients that underwent a totally laparoscopic distal gastrectomy at our department between June 2004 and May 2007. The intracorporeal anastomoses were performed by using laparoscopic linear staplers. Results: The mean operative time was 287 minutes, the mean anastomotic time was 40 minutes, and the mean number of laparoscopic linear staplers used for an operation was 7.5. The mean time to the first flatus, the first food intake, and discharge from hospital was 2.9, 3.6, and 10.3 days respectively. There were 11 cases of postoperative complications, but no case of postoperative mortality or conversion to an open procedure. In 75 patients with an adenocarcinoma, the mean number of lymph nodes harvested was 38.1 and the stage distribution was as follows: stage I, 72 patients; stage II, 2 patients; stage IV, 1 patient. During the mean follow-up period of 14 months, 5 patients died of other causes and there were no cases of cancer recurrence. Conclusion: A total laparoscopic gastrectomy with intracorporeal anastomosis by using a laparoscopic linear stapler was found to be safe and feasible. We were able to obtain acceptable surgical outcomes in terms of minimal invasiveness.
SPATIAL DATA MINING ON REMOTE SENSING PERSPECTIVE

Spatial data mining has been evolved as a special branch of data mining since the last two decades as the conventional data mining algorithms fail to produce good results from large spatial databases. Satellite images carry rich information of the geographical coverage area, which can be harnessed using efficient algorithms that consider spatial aspects into, while processing. Several algorithms, that are build up on the state-of-the–art techniques such as AI, ANN, SVM, Fuzzy logic, and are categorized into the classical grouping of clustering, classification and frequent pattern mining have grown dimensionally and have stretched into multidisciplinary research areas. In this letter, we will discuss the various efforts taken in the last two decades in the field of spatial data mining on the perspective of satellite/ remote sensing images.
A Silicified Carboniferous Lycopsid Forest in the Colorado Rocky Mountains, USA

The 1930 discovery of Carboniferous lycopsid fossils in south central Colorado resulted in the naming of a new species of scale tree, Lepidodendron johnsonii (=Lepidophloios johnsonii (Arnold) DiMichele). Cellular structures of L. johnsonii axes and periderm are preserved in silica—an unusual mode of fossil preservation for Pennsylvanian lycopsid plant remains. The early reports on the Trout Creek lycopsid fossils focused on taxonomic and paleobotanical aspects. Our 2019 reinvestigation of the locality produced many new specimens and a wealth of new data from a variety of analytical methods. Optical microscopy, X-ray diffraction, scanning electron microscopy, energy dispersive electron spectroscopy, determination of specific gravity, and Loss on Ignition provide details of mineralization. Cell walls are preserved with very small fine quartz particles, and cell lumina are filled with microcrystalline quartz. Some cell exteriors are encrusted with euhedral quartz crystals. These multiple forms of quartz are evidence that petrifaction involved several episodes of silicification. The dark color of the fossil wood and siliceous matrix appears to be caused by traces of dispersed carbon, but 500 °C Loss on Ignition reveals that the fossil wood preserves only very small amounts of the original organic matter.
Vibrio alginolyticus MviN is a LuxO-regulated Protein and Affects Cytotoxicity Towards Epithelioma Papulosum Cyprini (EPC) Cells

Vibrio alginolyticus, a Gram-negative marine bacterium, is one of the causative agents of fish vibriosis. Its virulence factors and pathogenesis mechanism are barely known, except for some extracellular products (ECPs) that are known to be regulated by quorum sensing system. Therefore, the present study used a microarray to analyze the transcription profiles of the wild-type V. alginolyticus and a deletion mutant of luxO, the pivotal regulator in Vibrio quorum sensing systems, which resulted in the identification of a putative virulence factor, MviN. Quantitative real-time reverse transcription PCR confirmed that the transcription of mviN was upregulated in the luxO mutant when compared with wild-type, and downregulated in a luxO-con complemented strain. Furthermore, Western blotting indicated that MviN was greatly induced during the late-exponential and stationary phases of growth, indicating that the expression of MviN was cell-density dependent and quorum sensing regulated in V. alginolyticus. Meanwhile, the mviN null mutant displayed a much slower growth rate than the wild type, signifying the essential role of MviN in V. alginolyticus. Western blotting also revealed that MviN was present as an extracellular protein in V. alginolyticus. When epithelioma papulosum cyprini (EPC) cells were treated with the ECPs of the mviN mutant, no cytotoxicity was observed, whereas EPC cells treated with the wild type exhibited pathological changes, which increased with the ECPs concentration and treatment time. Therefore, the results demonstrated that MviN is a LuxO-regulated ECPs component and involved in the pathogenicity of V. alginolyticus.
Experimental Investigation of Copper Mesh Substrate with Selective Wettability to Separate Oil/Water Mixture

To solve the problem of low efficiency and poor adaptability during complex oil/water mixtures separation, two types of membranes with superhydrophilicity/underwater-superoleophobicity were successfully fabricated by oxidative reaction and in situ displacement reaction methods. A nanoneedle Cu(OH) 2 structure was generated on the copper mesh substrate by oxidative reaction and feathery micro/nanoscale composite, while Ag structure was constructed at the surface of copper mesh substrate through in-situ replacement, then, membranes with superhydrophilic/underwater-superoleophobic properties were separated. The influence of microstructure, wettability of the surface of prepared membranes and the liquid constituents in the separation experiment were studied and the liquid flux and permeation pressure at the membrane were later experimentally investigated. The experimental results show that separation efficiency of both membranes for separating different oil/water mixtures was above 99.8%. However, the separation efficiency of the Ag-CS (Ag on the copper substrate) membrane was obviously higher than that of the Cu(OH) 2 -CS (Cu(OH) 2 on the copper substrate) membrane after 10 instances of separation because of the micro/nanocomposite structures. By comparison, it was found that the Ag-CS membrane showed a relatively higher permeation pressure but lower liquid flux as compared to Cu(OH) 2 -CS membrane, due to the influence of microscale structure and the wettability of the surface combined. In addition, the outcome for separating the multicomponent oil/water mixture illustrate that the result of TOC (the Total Organic Carbon) test for the Cu(OH) 2 -CS membrane and Ag-CS membrane were 31.2% and 17.7%, respectively, higher than the average of the two oils probably because some oil droplets created due to mutual dissolution passed through the membranes. However, these two fabricated membranes still retained higher separation efficiencies and good adaptability after 10 instances of separation. It was concluded that based on the good performances of the prepared membranes, especially the modified membrane, they have a vast application prospect and can be widely used.
Chapter 2 Fundamentals of Matching Theory

Matching theory, in economics, is a mathematical framework that allows analyzing the formation of mutually beneficial relationships over time. Prior to the seminal work of Gale and Shapley on the stable marriage and college admission problems in 1962, many matching problems were solved by the “free for all market”. The “free for all market” term refers to the period before matching theory was conceived as a discipline, as well as the way in which matching problems were dealt with during the period. Economists have identified several issues such as unraveling, congestion, and exploding offers in the “free for all market”. Since then, with decades of efforts devoted to developing matching algorithms (i.e., there arises a trusted third party, which collects information, runs a matching algorithm, and broadcasts the matching results), these challenges were overcome. As a result, there has been a surge in the development of matching frameworks that have become widely used in many areas, such as the national resident matching program in the United States, the college admission in Hungary, the incompatible kidney exchange market, and the partnership formation in peer-to-peer (P2P) network, among others.
An Enhanced Trust Mechanism with Consensus-Based False Information Filtering Algorithm against Bad-Mouthing Attacks and False-Praise Attacks in WSNs

To defend against insider attacks in wireless sensor networks (WSNs), trust mechanisms (TMs) using the notion of trust in human society have been proposed and are still actively researched. In the WSN with a trust mechanism (TM), each sensor node evaluates the trustworthiness of its neighbor sensors based on their behaviors, for example packet forwarding, and collaborates only with trustworthy neighbors while removing untrustworthy neighbor from its neighbor list. The reputation system (RS) is an advanced type of trust mechanism that evaluates the trustworthiness of a node by additionally considering neighbor nodes’ observations or evaluations about it. However, intelligent inside attackers in WSNs can discover the security vulnerabilities of trust mechanisms by examining the operations of TM (or RS), because the software modules of the TM (or RS) are installed and operating in their local storage and memory, and thus, they can avoid detection by the trust mechanisms. Bad-mouthing attacks and false-praise attacks are well-known examples of such intelligent insider attacks. We observed that existing trust mechanisms do not have effective countermeasures to defend against such attacks. In this paper, we propose an enhanced trust mechanism with a consensus-based false information filtering algorithm (TM-CFIFA) that can effectively defend against bad-mouthing attacks and false-praise attacks. According to our experiment results, compared with an existing representative RS model, our TM-CFIFA shortened the detection time of a packet drop attacker, which is supported by a false-praise attacker by at least 83%, and also extended the lifetime of a victim sensor node that is under bad-mouthing attacks by at least 15.8%.
A Comparison of Orthographic and Perspective Projections in the Generation of Textures for Billboards

Image-based rendering techniques take the approach of rendering new images based on existing ones, effectively separating the rendering complexity from the geometric complexity of the scene they represent. With the advance of hardware capabilities, these techniques have regained interest. However, the creation of images previously mentioned is error-prone, so computation must be done in order to correct them. This paper presents a comparison between the uncorrected errors apparent in billboards when the applied texture is generated with a perspective or with orthographic projection.
Simulation Comparisons of Particulate Emissions from Fires under Marginal and Critical Conditions

Using a particulate emissions model developed for FIRETEC, we explore differences in particle emission profiles between high-intensity fires under critical conditions and low-intensity fires under marginal conditions. Simulations were performed in a chaparral shrubland and a coniferous pine forest representative of the southeast United States. In each case, simulations were carried out under marginal and critical fire conditions. Marginal fire conditions include high moisture levels and low winds, often desired for prescribed fires as these conditions produce a low-intensity burn with slower spread rates. Critical fire conditions include low moisture levels and high winds, which easily lead to uncontrollable wildfires which produce a high-intensity burn with faster spread rates. These simulations’ resultant particle emission profiles show critical fire conditions generate larger particle emission factors, higher total mass emissions, and a higher lofting potential of particles into the atmosphere when compared against marginal fire conditions but similar particle size distrubtions. In addition, a sensitivity analysis of the emissions model was performed to evaluate key parameters which govern particle emission factor and particle size.
Aggregate demand policy in mature and dual economies

Aggregate demand is important, both in the short and the long run, but a basic distinction must be made between dual and mature economies. Mature economies may su⁄er from a structural aggregate problem ((cid:145)secu-lar stagnation(cid:146)): full-employment growth may be impossible in the absence of sustained (cid:133)scal stimulus. Dual economies with high levels of open or hidden unemployment, by contrast, do not face long-run structural aggregate demand problems. They require public investment in key areas, including education and infrastructure, but the key problems concern the composition of demand and the need to expand the modern sector. These economies face structural transformation problems.
On Market Share Drivers in the Swiss Mandatory Health Insurance Sector

In the mandatory health insurance market in Switzerland, a range of insurers offer policies that differ in characteristics like premium and service level while benefits are the same and regulated by law. In this paper, we give an overview of the market and analyse the relationship between insurers’ characteristics and the evolution of their market shares. Indeed, in view of substantial differences between the players, the risk that policyholders change their provider is important. We develop a linear model with two-sided lognormally distributed errors and use publicly available data on the Swiss mandatory health insurance market for the years from 2002 to 2015. Thereby we identify and quantify the main drivers for the policyholders’ switching behavior that reflect in changes in market shares. The results suggest that market share changes are particularly linked to the difference between an insurer’s premium and the overall market premium. In addition, the difference to the previous year’s premium also has an impact on the market share while the service level as well as the group affiliation of a provider turn out not be significant in explaining annual market share changes.
Quantile Regression Applied to Genome-Enabled Prediction of Traits Related to Flowering Time in the Common Bean

Genomic selection (GS) aims to incorporate molecular information directly into the prediction of individual genetic merit. Regularized quantile regression (RQR) can be used to fit models for all portions of a probability distribution of the trait, enabling the conditional quantile that “best” represents the functional relationship between dependent and independent variables to be chosen. The objective of this study was to predict the individual genetic merits of the traits associated with flowering time (DFF—days to first flower; DTF—days to flower) in the common bean using RQR and to compare the predictive abilities obtained from Random Regression Best Linear Unbiased Predictor (RR-BLUP), Bayesian LASSO (BLASSO), BayesB, and RQR for predicting the genetic merit. GS was performed using 80 genotypes of common beans genotyped for 380 single nucleotide polymorphism (SNP) markers. Considering the “best” RQR fit models (RQR0.3 for DFF, and RQR0.2 for DTF), the gains in predictive ability in relation to BLASSO, BayesB, and RR-BLUP were 18.75%, 22.58%, and 15.15% for DFF, respectively, and 15.20%, 24.65%, and 12.55% for DTF, respectively. The potential cultivars selected, considering the RQR “best” models, were among the 5% of cultivars with the lowest genomic estimated breeding value (GEBV) for the DFF and DTF traits—the IAC Imperador, IPR Colibri, Capixaba Precoce, and IPR Andorinha were included in the list of early cycle cultivars.