Miracle-dz/UniFAR-FTUs huggingface dataset:
An online sequential extreme learning machine approach to WiFi based indoor positioning

Developing Indoor Positioning System (IPS) has become an attractive research topic due to the increasing demands on Location Based Service (LBS) in indoor environment recently. WiFi technology has been studied and explored to provide indoor positioning service for years since existing WiFi infrastructures in indoor environment can be used to greatly reduce the deployment costs. A large body of WiFi based IPSs adopt the fingerprinting approach as the localization algorithm. However, these WiFi based IPSs suffer from two major problems: the intensive costs on manpower and time for offline site survey and the inflexibility to environmental dynamics. In this paper, we propose an indoor localization algorithm based on online sequential extreme learning machine (OS-ELM) to address these problems accordingly. The fast learning speed of OS-ELM can reduce the time and manpower costs for the offline site survey, and more importantly, its online sequential learning ability enables the proposed localization algorithm to automatically and timely adapt to the environmental dynamics. The experimental results show that the proposed localization algorithm can provide higher localization accuracy than traditional approaches due to its fast adaptation to various environmental changes.
Laparoendoscopic Single-Site Surgery (LESS) for Excision of a Seminal Vesicle Cyst Associated with Ipsilateral Renal Agenesis

We report a case of laparoendoscopic single-site surgery (LESS) for a symptomatic left seminal vesicular cyst and ipsilateral renal agenesis. A 49-year-old man presented with a 1-year history of severe irritation upon voiding and intractable, recurrent hematospermia. A computed tomography scan showed a 68×41×38 mm sized left seminal vesicular cyst with ipsilateral renal agenesis. LESS was performed successfully to treat the seminal vesicle cyst. The total operative time was 125 minutes, and blood loss was minimal. The patient was discharged from the hospital on the second postoperative day.
Direct implantation and serial transplantation of human acute lymphoblastic leukemia in hamsters, SB-2.

Summary Human acute lymphoblastic leukemia cells have been established as a serially transplantable lymphosarcoma in newborn Syrian hamsters by the direct inoculation of cells from the peripheral blood of a boy in the terminal stages of lymphosarcoma. The experimental neoplasm, currently in its 70th serial passage, is metastatic and occasionally progresses to frank leukemia. In later passages, it has become transplantable in the newborn hamster every 10–12 days. Immunofluorescence evidence indicates that it is still composed of human cells after continued passage in the experimental host. Cytogenetic examination shows the cells to be of male human karyotype. Electron-microscopic examination reveals them to be free of morphologically recognizable virus.
Stochastic spread of Wolbachia

Wolbachia are very common, maternally transmitted endosymbionts of insects. They often spread by a mechanism termed cytoplasmic incompatibility (CI) that involves reduced egg hatch when Wolbachia-free ova are fertilized by sperm from Wolbachia-infected males. Because the progeny of Wolbachia-infected females generally do not suffer CI-induced mortality, infected females are often at a reproductive advantage in polymorphic populations. Deterministic models show that Wolbachia that impose no costs on their hosts and have perfect maternal transmission will spread from arbitrarily low frequencies (though initially very slowly); otherwise, there will be a threshold frequency below which Wolbachia frequencies decline to extinction and above which they increase to fixation or a high stable equilibrium. Stochastic theory was used to calculate the probability of fixation in populations of different size for arbitrary current frequencies of Wolbachia, with special attention paid to the case of spread after the arrival of a single infected female. Exact results are given based on a Moran process that assumes a specific demographic model, and approximate results are obtained using the more general Wright–Fisher theory. A new analytical approximation for the probability of fixation is derived, which performs well for small population sizes. The significance of stochastic effects in the natural spread of Wolbachia and their relevance to the use of Wolbachia as a drive mechanism in vector and pest management are discussed.
DNA Aptamers in the Diagnosis and Treatment of Human Diseases

Aptamers have a promising role in the field of life science and have been extensively researched for application as analytical tools, therapeutic agents and as vehicles for targeted drug delivery. Compared with RNA aptamers, DNA aptamers have inherent advantages in stability and facility of generation and synthesis. To better understand the specific potential of DNA aptamers, an overview of the progress in the generation and application of DNA aptamers in human disease diagnosis and therapy are presented in this review. Special attention is given to researches that are relatively close to practical application. DNA aptamers are expected to have great potential in the diagnosis and treatment of human diseases.
Learning to Classify Neutral Examples from Positive and Negative Opinions

Sentiment analysis is a challenging research area due to the rapid increase of subjective texts populating the web. There are several studies which focus on classifying opinions into positive or negative. Corpora are usually labeled with a star-rating scale. However, most of the studies neglect to consider neutral examples. In this paper we study the effect of using neutral sample reviews found in an opinion corpus in order to improve a sentiment polarity classification system. We have performed different experiments using several machine learning algorithms in order to demonstrate the advantage of taking the neutral examples into account. In addition we propose a model to divide neutral samples into positive and negative ones, in order to incorporate this information into the construction of the final opinion polarity classification system. Moreover, we have generated a corpus from Amazon in order to prove the convenience of the system. The results obtained are very promising and encourage us to continue researching along this line and consider neutral examples as relevant information in opinion mining tasks.
Hierarchical back-face culling for collision detection

A few years ago, Vanecek (1994) suggested to apply a variant of back-face culling to speed-up collision detection between polyhedral objects. However, Vanecek's method is linear in the number of faces in the object, which is unpractical for large models. This paper suggests to add some geometrical information to hierarchies of bounding volumes, typically used in collision detection, and perform conservative back-face culling at the bounding-volume level in constant time. The method described in this paper can be applied to complement any kind of bounding-volumes hierarchy and allows a trade-off between memory and speed. Preliminary experimental results suggest that the method allows a significant speed-up, especially in close proximity situations.
Changes in gut microbiota due to supplemented fatty acids in diet-induced obese mice

Consumption of a high-fat diet (HFD), which is associated with chronic ‘low-grade’ systemic inflammation, alters the gut microbiota (GM). The aim of the present study was to investigate the ability of an oleic acid-derived compound (S1) and a combination of n-3 fatty acids (EPA and DHA, S2) to modulate both body weight and the GM in HFD-induced obese mice. A total of eighty mice were fed either a control diet or a HFD, non-supplemented or supplemented with S1 or S2. At week 19, faeces were collected in order to analyse the GM. Group-specific primers for accurate quantification of several major bacterial groups from faecal samples were assayed using quantitative PCR. The HFD induced an increase in body weight, which was reduced by supplementation with S1. Furthermore, S1 supplementation markedly increased total bacterial density and restored the proportions of bacteria that were increased (i.e. clostridial cluster XIVa and Enterobacteriales) or decreased (i.e. Bifidobacterium spp.) during HFD feeding. S2 supplementation significantly increased the quantities of Firmicutes (especially the Lactobacillus group). Correlation analysis revealed that body weight correlated positively with the phylum Firmicutes and clostridial cluster XIVa, and negatively with the phylum Bacteroidetes. In conclusion, the consumption of a HFD induced changes in the faecal microbiota, which were associated with the appearance of an obese phenotype. Supplementation of the HFD with S1 counteracted HFD-induced gut dysbiosis, together with an improvement in body weight. These data support a role for certain fatty acids as interesting nutrients related to obesity prevention.
Literature Survey for Face Detection under Illumination Variation

Face detection is important in the field of computer vision. It is widely used in many applications such as security control, human system interaction, interactive games and intelligent user interface. Face detection is one of the major problem in areas such as cluttered scenes, color variation and illumination variation. To overcome this several existing techniques have been used. Recently a new technique introduced is the hybrid feature extraction using the combination of several local transform features including local binary pattern that are robust to illumination changes and local gradient pattern that are robust to intensity changes. This hybridization improves the detection performance and provides accurate face detection even under any uncontrolled illumination variation . This literature survey discusses all the existing methods available for face detection.
Short-range ultrasonic communications in air using quadrature modulation

A study has been undertaken of ultrasonic communications methods in air, using a quadrature modulation method. Simulations were first performed to establish the likely performance of quadrature phase shift keying over the limited bandwidth available in an ultrasonic system. Quadrature phase shift keying modulation was then implemented within an experimental communication system, using capacitive ultrasonic sources and receivers. The results show that such a system is feasible in principle for communications over distances of several meters, using frequencies in the 200 to 400 kHz range.
Bio-inspired models for characterizing YouTube viewcout

The goal of this paper is to study the behaviour of viewcount in YouTube. We first propose several bio-inspired models for the evolution of the viewcount of YouTube videos. We show, using a large set of empirical data, that the viewcount for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%. We derive automatic ways of classifying the viewcount curve into one of these models and of extracting the most suitable parameters of the model. We study empirically the impact of videos' popularity and category on the evolution of its viewcount. We finally use the above classification along with the automatic parameters extraction in order to predict the evolution of videos' viewcount.
SDP Integrality Gaps with Local̀ 1-Embeddability Subhash Khot

We construct integrality gap instances for SDP relaxation of the M AXI UM CUT and the SPARSEST CUT problems. If the triangle inequality constraints are added to the SDP, then the SDP vectors naturally define ann-point negative type metric where n is the number of vertices in the problem instance. Our gap-instances satisfy a stronger constraint that every sub-metric on t = O((log log log n) 1 6 ) points is isometrically embeddable intò1. The local`1-embeddability constraints are implied when the basic SDP relaxation is augmented with t rounds of the Sherali-Adams LP-relaxation. For the MAXIMUM CUT problem, we obtain an optimal gap of α−1 GW − ε, whereαGW is the Goemans-Williamson constant [GW95] and ε > 0 is an arbitrarily small constant. For the S PARSEST CUT problem, we obtain a gap ofΩ((log log log n) 1 13 ). The latter result can be rephrased as a construction of ann-point negative type metric such that every t-point sub-metric is isometricallỳ1embeddable, but embedding the whole metric into `1 incurs distortionΩ((log log log n) 1 13 ).
Tipranavir/Ritonavir (500/200 mg and 500/100 mg) Was Virologically Non-Inferior to Lopinavir/Ritonavir (400/100 mg) at Week 48 in Treatment-Naïve HIV-1-Infected Patients: A Randomized, Multinational, Multicenter Trial

Ritonavir-boosted tipranavir (TPV/r) was evaluated as initial therapy in treatment-naïve HIV-1-infected patients because of its potency, unique resistance profile, and high genetic barrier. Trial 1182.33, an open-label, randomized trial, compared two TPV/r dose combinations versus ritonavir-boosted lopinavir (LPV/r). Eligible adults, who had no prior antiretroviral therapy were randomized to twice daily (BID) 500/100 mg TPV/r, 500/200 mg TPV/r, or 400/100 mg LPV/r. Each treatment group also received Tenofovir 300 mg + Lamivudine 300 mg QD. The primary endpoint was a confirmed viral load (VL) <50 copies/mL at week 48 without prior antiretroviral regimen changes. Primary analyses examined CD4-adjusted response rates for non-inferiority, using a 15% non-inferiority margin. At week 48, VL<50 copies/mL was 68.4%, 69.9%, and 72.4% in TPV/r100, TPV/r200, and LPV/r groups, respectively, and TPV/r groups showed non-inferiority to LPV/r. Discontinuation due to adverse events was higher in TPV/r100 (10.3%) and TPV/r200 (15.3%) recipients versus LPV/r (3.2%) recipients. The frequency of grade ≥3 transaminase elevations was higher in the TPV/r200 group than the other groups, leading to closure of this group. However, upon continued treatment or following re-introduction after treatment interruption, transaminase elevations returned to grade ≤2 in >65% of patients receiving either TPV/r200 or TPV/r100. The trial was subsequently discontinued; primary objectives were achieved and continuing TPV/r100 was less tolerable than standard of care for initial highly active antiretroviral therapy. All treatment groups had similar 48-week treatment responses. TPV/r100 and TPV/r200 regimens resulted in sustained treatment responses, which were non-inferior to LPV/r at 48 weeks. When compared with the LPV/r regimen and examined in the light of more current regimens, these TPV/r regimens do not appear to be the best options for treatment-naïve patients based on their safety profiles.
A Visual Analytics Approach for What-If Analysis of Information Retrieval Systems

We present the innovative visual analytics approach of the VATE system, which eases and makes more effective the experimental evaluation process by introducing the what-if analysis. The what-if analysis is aimed at estimating the possible effects of a modification to an IR system to select the most promising fixes before implementing them, thus saving a considerable amount of effort. VATE builds on an analytical framework which models the behavior of the systems in order to make estimations, and integrates this analytical framework into a visual part which, via proper interaction and animations, receives input and provides feedback to the user.
Money, lies, and replicability: On the need for empirically grounded experimental practices and interdisciplinary discourse

This response reinforces the major themes of our target article. The impact of key methodological variables should not be taken for granted. Rather, we suggest grounding experimental practices in empirical evidence. If no evidence is available, decisions about design and implementation ought to be subjected to systematic experimentation. In other words, we argue against empirically blind conventions and against methodological choices based on beliefs, habits, or rituals. Our approach will neither inhibit methodological diversity nor constrain experimental creativity. More likely, it will promote both goals.
LifeNet: A Propositional Model of Ordinary Human Activity

LifeNet, a new common sense knowledge base that captures a first-person model of human experience in terms of a propositional representation. LifeNet represents knowledge as an undirected graphical model relating 80,000 egocentric propositions with 415,000 temporal and atemporal links between these propositions. We explain how we built LifeNet by extracting its propositions and links from the Open Mind Common Sense corpus of com- mon sense assertions, present a method for reasoning with the resulting knowledge base, evaluate the knowledge in LifeNet and the quality of inference, and describe a knowl- edge acquisition system that lets people interact with LifeNet to extend it further. INTRODUCTION interested in building 'common sense' models of the structure and flow of human life. Today's computer systems lack such models—they know almost nothing about the kinds of activities people engage in, the actions we are capable of and their likely effects, the kinds of places we spend our time and the things that are found there, the types of events we enjoy and types we loathe, and so forth. By finding ways to give computers the ability to represent and reason about ordinary life, we believe they can be made more helpful participants in the human world. An adequate common sense model should include knowl- edge about a wide range of objects, states, events, and situations. For example, a common sense model of human life should enable the following kinds of predictions:
Behavioural and emotional strengths of sociometrically popular, rejected, controversial, neglected, and average children

ABSTRACT Many behavioural and emotional characteristics are associated with children’s peer relationships. The purpose of this study is to examine behavioural and emotional strengths of sociometrically popular, rejected, controversial, neglected, and average children. 773 third-grade children (51% girls) are assessed with a sociometric questionnaire and self-evaluations of their behavioural and emotional strengths and difficulties. Teacher evaluations are also used to assess the children’s academic competencies and behaviour. Univariate analysis of variance (ANOVA) is used to analyse the data. Results indicate that children in the popular status group assess their behavioural and emotional strengths as being better than children in the rejected status group. The behavioural profile of the controversial status group is similar to that of the rejected status group. Children in the neglected status group differ from other sociometric status groups in some behavioural and emotional strengths. Issues pertaining to gender differences are also discussed.
Aging-aware compiler-directed VLIW assignment for GPGPU architectures

Negative bias temperature instability (NBTI) adversely affects the reliability of a processor by introducing new delay-induced faults. However, the effect of these delay variations is not uniformly spread across functional units and instructions: some are affected more (hence less reliable) than others. This paper proposes a NBTI-aware compiler-directed very long instruction word (VLIW) assignment scheme that uniformly distributes the stress of instructions with the aim of minimizing aging of GPGPU architecture without any performance penalty. The proposed solution is an entirely software technique based on static workload characterization and online execution with NBTI monitoring that equalizes the expected lifetime of each processing element by regenerating aging-aware healthy kernels that respond to the specific health state of GPGPU. We demonstrate our approach on AMD Evergreen architecture where iso-throughput executions of the healthy kernels reduce NBTI-induced voltage threshold shift up to 49% (11%) compared to naïve kernel executions, with (without) architectural support for power-gating. The kernel adaption flow takes average of 13 millisecond on a typical host machine thus making it suitable for practical implementation.
ARTIFICIAL CONSUMERS: A ROLE FOR COMPUTERS AS SUBJECTS IN CONSUMER-RELATED MARKETING

Consumer-related marketing might miss important points if computers are only seen as Technology or interactive media. Hence, my purpose here is to re-examine (through qualitative methods) the state and the role of computer-based phenomena in the context of consumption. My findings indicate that computers also interact as (non-human) consumers. Consequently, we could consider them as artificial consumers. This new subject for research (if applied) calls for a re-definition of consumer research; enables a better identification of over-looked phenomena; offers new paths for theoretical development about marketing; and a more useful understanding of communications that involves computers.
Robust distributed beamforming for wireless relay networks

In this paper, we consider a robust distributed beamforming design that minimizes total relay transmit power with signal-to-noise ratio (SNR) constraint for a wireless relay network in the presence of imperfect channel state information (CSI) at the relays. We consider a system with a transmit and a receive node, and a set of relay nodes. We assume there is no direct link between the transmit and receive nodes. Each node is equipped with a single antenna. The relay nodes perform amplify-and-forward (AF) relaying. The distributed beamforming design based on the assumption of perfect CSI at the relays fails to guarantee the SNR when the CSI available at the relay nodes is imperfect. We present a robust design which ensures that the SNR constraint is satisfied in the presence of imperfect CSI. We adopt a worst-case design and formulate the problem as a convex optimization problem that can be solved efficiently. The robustness of the proposed design to imperfections in CSI is illustrated through simulations.
Role based access control with the security administration manager (SAM)

Security administration in large computer environments is a complex and expensive task. Many companies handle it by giving security administrators ownership of all data. If an update is required, a more or less automated workflow is in place to notify the administrator. This process is slow and error-prone. This practice is not mandatory access control (MAC) (no data labeling, etc.), it is rather a “degenerated” form of discretionary access control (DAC).
Nonparametric Bayesian Models for Spoken Language Understanding

In this paper, we propose a new generative approach for semantic slot ﬁlling task in spoken language understanding using a nonparametric Bayesian formalism. Slot ﬁlling is typically formulated as a sequential labeling problem, which does not directly deal with the posterior distribution of possible slot values. We present a nonparametric Bayesian model involving the generation of arbitrary natural language phrases, which allows an explicit calculation of the distribution over an inﬁnite set of slot values. We demonstrate that this approach signiﬁcantly improves slot estimation accuracy compared to the existing sequential labeling algorithm.