Miracle-dz/UniFAR-FTUs huggingface dataset:
Emergence of Tuberculosis in Pakistan; A Clear Problem in Near Future

Throughout the world, one death out of ten is due to tuberculosis. Tuberculosis is a persisting disease which is caused by a type of bacterium called Mycobacterium tuberculosis. Usually, It acts on the lungs, but it can also be affected the other parts of the body like brain, kidneys, intestines and the spine. In 2016, 10.4 million patients of tuberculosis were reported, of which 1.7 million died. Over 95% of tuberculosis deaths happen in middle and low income countries. 64% of the total tuberculosis has been reported in Pakistan, China, India, Nigeria, South Africa, Philippines and Indonesia countries [1]. The rank of Pakistan with respect to the tuberculosis high-burden is fifth throughout the world. With an estimation, almost 510000 new tuberculosis cases emerging and approximately 15000 developing drug resistant tuberculosis cases in Pakistan in each year. Pakistan is also assessed to have the quarter highest occurrence of multidrug-resistant tuberculosis globally [2].
Recognition of Human Emotion by Speech Processing

— The emotion recognition from speech is used for in human computer interaction. Most of researchers doing research on emotion recognition using speech signal. This project attempts language emotion recognition using speech signal of English language. The emotional speech samples are stored in database and used for Training And Testing. The feature extraction MFCC, PSD and Pitch detection algorithms are used. For classification of different emotions like Angry, Happy/Joy and Normal state SVM classifier is used. The all steps are implemented using MATLAB software. Raspberry pi is used for detection of emotion on hardware This classified emotions can be used for various application areas like medical, security, military etc.
Un nouveau schéma de pondération pour la catégorisation de documents manuscrits

Les schémas de pondération utilisés habituellement en catégorisation de textes, et plus généralement en recherche d’information (RI), ne sont pas adaptés à l’utilisation de données liées à des textes issus d’un processus de reconnaissance de l’écriture. En particulier, les candidats-mot à la reconnaissance ne pourraient être exploités sans introduire de fausses occurrences de termes dans le document. Dans cet article nous présentons un nouveau schéma de pondération permettant d’exploiter les listes de candidats-mot. Il permet d’estimer le pouvoir discriminant d’un terme en fonction de la probabilité a posteriori d’un candidat-mot dans une liste de candidats. Les résultats montrent que le taux de classification de documents fortement dégradés peut être amélioré en utilisant le schéma proposé.
Modification chimique, greffage et dispersion d'agents fonctionnels pour des applications antimicrobiennes

Le marche de la cosmetique est l’un des marche les plus porteur actuellement dans le monde. La population francaise utilise enormement ces produits pour son hygiene quotidienne. Ce sont les shampoings ou autre creme de soins. Pour proteger ces produits, depuis maintenant de nombreuses annees, les fabricants ajoutent des agents conservateurs pour augmenter la duree de conservation, ou encore eviter certaines contaminations microbiennes apres les contacts avec la peau. Ces dernieres annees ont egalement vu les mentalites des consommateurs evoluer et actuellement, ces derniers souhaiteraient des produits cosmetiques le plus naturel possible, sans ajouts de conservateurs. Dans ce contexte, il semble interessant de travailler sur la protection de ces produits par d’autres moyens. En premier lieu, nous vient immediatement a l’esprit, la protection par l’emballage. L’idee est de modifier les emballages actuels pour leur conferer des activites antimicrobiennes et ainsi les rendre protecteurs. L’etude presentee s’interesse a certaines possibilites de mises en oeuvre et modifications de polymeres pour apporter une activite antimicrobienne. Deux voies de fabrications ont ete etudiees dans cette these. Une premiere a consiste en la realisation de revetements antimicrobiens et protecteurs a basse temperature. Cette technique a montre la possibilite de creer des couches antimicrobiennes par photo-polymerisation a partir de monomeres methacrylates renfermant les agents antimicrobiens. C’est cette couche finale qui va venir s’ajouter a certaines zones specifiques des emballages finaux pour assurer la protection antimicrobienne du contenu.La seconde voie d’action a etudie une fabrication plus industrielle a haute temperature. Cette technologie a permis de creer par extrusion des granules antimicrobiens avec des introductions d’actifs de differentes natures. Ceux sont ces granules qui sont par la suite injectes sous la forme d’emballages. Pour cette voie d’action, l’idee n’est plus de proteger l’emballage via une couche antimicrobienne, mais de substituer certaines pieces de l’emballage constituees de polymeres naturellement antimicrobiens. Ces travaux ont permis la realisation d’une large gamme de materiaux antimicrobiens. Les differentes solutions etudiees ont egalement permis de realiser des prototypes d’emballages, ceci en collaboration avec certaines entreprises partenaires du projet. Tous ces prototypes seront prochainement testes en conditions reelles d’utilisations, c’est-a-dire par des essais de mises en contact avec le consommateur d’un systeme complet, a savoir le produit cosmetique conditionne dans des emballages protecteurs. Ces tests devront permettre de verifier si les solutions proposees pourraient aboutir a une adaptation sur une chaine industrielle pour une utilisation a grande echelle
Tooth and Advanced Oral Submucous Fibrosis Obscuring Buccal Squamous Cell Carcinoma: A Case Report and Literature Review

Oral squamous cell carcinoma is a leading cause of mortality due to late diagnosis in India and most other developing countries. Buccal squamous cell carcinoma is almost always preceded by premalignant conditions that include leukoplakia, erythroplakia, oral lichen planus, and submucous fibrosis of the oral cavity. Hence, these patients warrant regular screening by oral health care professionals and proper monitoring for any dysplastic changes. Implementing social awareness about early signs and symptoms, as well as education on self-oral screening methods so as to avoid the risk of late presentation of oral squamous cell carcinoma, should be made mandatory for such individuals to prevent further complications.
Effectiveness of ultrasound guided fine needle aspiration cytology of axillary node in women with clinically node negative breast cancer

Background: The preoperative ultrasound (USG) guided fine needle aspiration cytology (FNAC) of axillary metastasis may avoid unnecessary axillary dissections and time consuming and costly sentinel lymph node biopsy. This study was aimed to evaluate the accuracy of USG guided FNAC in preoperative assessment of clinically node negative breast cancer patients.Methods: An observational study was done in patients who fall within the inclusion criteria. USG guided FNAC of suspicious nodes was done. All the selected patients were taken up for modified radical mastectomy. The resected specimens were sent for detailed histopathological (HPR) evaluation, which was taken as the gold standard for the comparison with the pre-operative FNAC report.Results: Among a total of 33 patients with early breast cancer subjected to USG guided FNAC and compared with the HPR results. The sensitivity, specificity, positive predictive value and negative predictive value of FNAC were 44.44%, 100%, 100% and 28.57% respectively.Conclusions: The sensitivity of USG guided FNAC of suspicious axillary lymph nodes was low, whereas the specificity and positive predictive values were high. Moreover, the negative predictive value is very less. Hence, the results suggested that USG guided FNAC has not proved to be sufficiently accurate for routine preoperative assessment in patients with early breast cancer.
Robust Cochlear-Model-Based Speech Recognition

Accurate speech recognition can provide a natural interface for human–computer interaction. Recognition rates of the modern speech recognition systems are highly dependent on background noise levels and a choice of acoustic feature extraction method can have a significant impact on system performance. This paper presents a robust speech recognition system based on a front-end motivated by human cochlear processing of audio signals. In the proposed front-end, cochlear behavior is first emulated by the filtering operations of the gammatone filterbank and subsequently by the Inner Hair cell (IHC) processing stage. Experimental results using a continuous density Hidden Markov Model (HMM) recognizer with the proposed Gammatone Hair Cell (GHC) coefficients are lower for clean speech conditions, but demonstrate significant improvement in performance in noisy conditions compared to standard Mel-Frequency Cepstral Coefficients (MFCC) baseline.
A QUESTÃO DO VALOR NA CRÍTICA E NA PRODUÇÃO CULTURAL CONTEMPORÂNEA

This article addresses the importance of rescuing the question of value in contemporary cultural criticism, taking as a basis for discussions the music conveyed by the new media generated by the Internet. In developing the exhibition, we will also talk about some questions relating to Cultural Studies and touch on some subjects related to developments in the digitization of music, however, always thinking about the question of value, especially in contemporary times.
Phasing in Full Interpretation

Contrary to the conventionally assumed system of labeled phrase structure, this thesis will argue for the hypothesis that the theory of bare phrase structure (Chomsky 1994, 1995 et seq.) should assume no mechanism of labeling/projection. It will be argued that the Inclusiveness Condition and the No-tampering Condition necessitate, among other things, structure-generation without labeling/projection and cyclic derivation by phase. It will be further claimed that this restrictive model of syntax always generates, phase by phase, syntactic objects (SOs) of the form {H, α}, where H is a lexical item (LI) and α an SO. This restriction, referred to as the H-α schema, will be shown to derive a number of empirically grounded locality constraints in tandem with the Phase-Impenetrability Condition (Chomsky 2000, 2004, 2008), a desirable result both in terms of breadth of empirical coverage and theory-internal simplicity. Another important consequence is that the notion of endocentricity/headedness can no longer be attributed to (X-bar theoretic) projection. It will be claimed that each SO {H, α} can be efficiently assigned endocentric interpretation by the Conceptual-Intentional system (CI) and the Sensorimotor system (SM) via minimal search of LIs—H is always the head of {H, α}, primarily configuring the interpretation of the SO. Full and consistent satisfaction of Full Interpretation is thereby achieved, maximally corroborating the desideratum of the Strong Minimalist Thesis.
A new approach to shape optimization for closed path synthesis of planar mechanisms

ABSTRACT A method for the synthesis of four-bar mechanisms to generate closed paths through shape optimization is herein introduced. The objective function is not based on Fourier descriptors, rather on the cyclic angular deviation (CAD) vector associated with a set of desired points on the curve. A simple method is introduced to account for the starting point shift between the desired CAD and the generated one. Following shape optimization, a simple mathematical approach is devised to properly scale, rotate, and translate the mechanism to the desired configuration. A case study is presented to demonstrate the effectiveness and robustness of the proposed method. KEYWORDS Synthesis; Shape Optimization, CAD vector; Optimization; Ant Colony; 1. INTRODUCTION Methods of dimensional synthesis of planar mechanisms have evolved with time to encompass a wide range of possibilities. Precision point synthesis methods are adequate for a limited number of points [1]. If the number of desired points exceeds a few (5 pos for four-bar motion generator), optimum synthesis becomes necessary [2-23]. A hybrid of exact/approximate point synthesis schemes have also been suggested [24-28]. Exact/approximate synthesis results in a mechanism that satisfies the desired trajectory at two or three points precisely, while generating many other points approximately. The main focus of previous synthesis efforts have been on single-task applications - motion, function, or path, synthesis. A method for a hybrid task synthesis was recently introduced [29]. Mechanism synthesis involves a large number of design parameters and searching the entire design space (DS) would be expensive. One method that has been suggested to reduce the size of the DS is to optimally find a solution that satisfies the shape of the desired trajectory. Then, the final solution is obtained by scaling, rotating, and translating the solution for the final mechanism. This paper follows this approach, but in a new way. The design objective is usually to determine the optimal link lengths (and angles between them) such that the motion generated by the mechanism is as close as possible to the desired trajectory. For the discussion to follow, the parameters of the four-bar mechanism are first introduced (see Fig. 1). The following notations are adopted hereafter. An uppercase boldface letter indicates a vector representing a link; the lowercase counterpart denotes the corresponding length; and the Greek letter counterpart denotes its angle. Thus,
Fisheye camera around view monitoring system

360 degree around view monitoring system is the key technology of the advanced driver assistance system, which is used to assist the driver to clear the blind area, and has high application value. In this paper, we study the transformation relationship between multi coordinate system to generate panoramic image in the unified car coordinate system. Firstly, the panoramic image is divided into four regions. By using the parameters obtained by calibration, four fisheye images pixel corresponding to the four sub regions are mapped to the constructed panoramic image. On the basis of 2D around view monitoring system, 3D version is realized by reconstructing the projection surface. Then, we compare 2D around view scheme and 3D around view scheme in unified coordinate system, 3D around view scheme solves the shortcomings of the traditional 2D scheme, such as small visual field, prominent ground object deformation and so on. Finally, the image collected by a fisheye camera installed around the car body can be spliced into a 360 degree panoramic image. So it has very high application value.
Cyber Romance Scam Victimization Analysis using Routine Activity Theory Versus Apriori Algorithm

The advance new digital era nowadays has led to the increasing cases of cyber romance scam in Malaysia. These technologies have offered both opportunities and challenge, depending on the purpose of the user. To face this challenge, the key factors that influence the susceptibility to cyber romance scam need to be identified. Therefore, this study proposed cyber romance scam models using statistical method and Apriori techniques to explore the key factors of cyber romance scam victimization based on the real police report lodged by the victims. The relationship between demographic variables such as age, education level, marital status, monthly income and independent variables such as level of computer skills and the level of cyber-fraud awareness has been investigated. Then, the result of this study was compared with Routine Activity Theory (RAT). This study found that those between the ages of 25 and 45 years were likely to be the victims of cyber romance scams in Malaysia. The majority of the victims are educated and having a Diploma. In addition, this research shows that married people are more likely to be the victims of cyber romance scams. Study shows that non-income individuals are also vulnerable to being the victims because the study shows that 17 percent of respondents who are the victims are from this group. As expected, those who work and have monthly income between RM2001 and above are more likely to be targeted and become a victim of cyber romance scams. The study also shows that those who lack computer skills and less levels of cyber-fraud awareness are more likely to be victims of cyber romance scams.
Functional outcome and complication of PHILOS plating in proximal humeral fractures

Introduction: Proximal humeral fractures account for 5% of all fractures. Displaced and unstable fractures are difficult to manage. New plating techniques have been developed to improve stability. Aim: Aim of this study was to evaluate functional outcome and complication of Proximal Humeral Internal Locking System (PHILOS) in proximal humeral fractures. Materials and Methods: Thirty patients of proximal humeral fractures were treated by open reduction and proximal humeral internal locking system (PHILOS) plate fixation. Out of thirty patients of proximal humeral fractures are 24 Male and 6 Female with age group of 22years to 62years. Fractures were caused by low-energy trauma (fall from height) 14(46.66%) patients, RTA 10(33.33%) patients and Direct trauma 6(20%) patients. All fractures were closed with no associated injuries and according to Neer classification, classified as 2-part (n=17) and 3-part (n=13). Functional outcomes and shoulder range of movement were assessed based on the Constant scoring system. Results: Out of 30 cases 24 (80%) healed satisfactorily, one case of 3-part fracture in whom there was fracture collapse and one case 3-part fracture developed non-union, one case of 3-part fracture screw penetration of the humeral head at 8 weeks developed avascular necrosis and two cases with valgus 3part fracture who had malunion. No wound infections and vascular injuries. One case with axillary nerve palsy recovered within 2 months. Discussion: In our study constant shoulder score was 70. 14 patients had a score above 75, 12 were scored between50-75 and 4 were below 50. Conclusion: PHILOS plate provided stable fixation in displaced proximal humeral fracture.
Concomitant Chemoradiation Using Gemcitabine in Locally Advanced Hepatocellular Carcinoma

Purpose: Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. Most of patients present with advanced disease that cannot be treated with curative or ablative intent. The aim of the study was to assess the therapeutic benefit of concurrent chemoradiotherapy (CCRT) in patients with advanced HCC and to identify factors that predict OS. Methods: Patients with radiologically or biopsy proven primary HCC from 2010 to 2013 were included in the study. Gemcitabine was given in a dose of 70 mg/m2 once weekly for three weeks during external beam radiotherapy 30 Gy/2 Gy/fraction/five fractions per week in the Clinical Oncology Department, Assiut, Egypt. Results: Forty-nine patients were eligible but forty patients were evaluable for assessment. The partial response rate (PR) was 35% (14 patients), 16 patients (40%) had stable disease (SD) and the progressive disease was 25%. Painful hepatomegaly was significantly relieved in 70% of patients. Transaminases rose as grade 3 toxicity in 15% of patients. Longer overall survival (OS) was significantly observed in patients with performance status 0, child-Pugh A, Barcelona Clinic Liver cancer Stage B, PR and α fetoprotein level decrement. Conclusion: Concurrent chemoradiotherapt provides an acceptable response and palliation of pain in advances HCC. Our findings showed that better survival for patients with good performance and liver functions.
A 15-Gb/s Sub-Baud-Rate Digital CDR

This paper presents a sub-baud-rate clock and data recovery (CDR) circuit that can recover clock and data using only differential quarter-rate clocks. A combination of eight samplers and an integrator recover four data bits in each clock cycle. Four of the eight samplers are re-used for phase detection as well as for background calibration to improve the robustness of the CDR to process, voltage, and temperature variations. A continuous-time linear equalizer is used to compensate for inter-symbol interference up to 11 dB. The CDR prototype fabricated in a 65-nm CMOS recovers 15.2-Gb/s data using only differential 3.8-GHz clock and achieves bit error rate (BER) < 10−12, >10-MHz jitter tolerance (JTOL) corner, and 548 fsrms recovered clock jitter. The total power consumption is 29 mW, which translates to an energy efficiency of 1.9 pJ/bit.
Fast Data Plane Testing for Software-Defined Networks With RuleChecker

A key feature of software-defined networking (SDN) is the decoupling of control pane and data plane. Although delivering huge benefits, such a decoupling also brings a new risk: the data plane states (i.e., flow tables) may deviate from the control plane policies. Existing data plane testing tools such as RuleScope check the correctness of flow tables by injecting probes. However, they are limited in four aspects: 1) are slow in generating probes due to solving SAT problems; 2) may raise false negatives when there are multiple missing rules; 3) cannot test cascaded flow tables used by OpenFlow switches; and 4) either does not support incremental update or has a slow update speed. To overcome these limitations, we present RuleChecker, a fast data plane testing tool for SDN. In contrast to previous tools that generate each probe by solving an SAT problem, the RuleChecker takes the flow table as whole and generates all probes through an iteration of simple set operations. By leveraging binary decision diagram to encode sets, we make the RuleChecker extremely fast: nearly $20\times $ faster than the RuleScope, and can update probes in less than 2 ms for 90% of the cases, based on the Stanford backbone rule set.
Incremental Query Processing by Relevance Feedback Using Big-Data Streams

This paper presents deals social network in large scale distributed server data storing and retrival process is more complex.There has been an explosive increase in media data,such as images,videos and social media in the internet,mobile devices, and desktops.Engineers and researches are dealing with data sets of petabyte scale in the cloud computing paradigm.Thus, the demand for building a service stack to distribute,manage and process massive data sets has risen drastically.Data collection has become easy due to the rapid development of both mobile devices and wireless networks.During the processing of image queries. Many factor are affecting quality of the retrievel system. Image searching and ranking , indexing are the insufficient factors to affect the quality of image search results. There are many factors which affect the quality of image search results.The learning of the model is from the image output extracts the designed with the evolutionary feedback system to perform the image retrievel by processing the image search query.