Miracle-dz/UniFAR-FTUs huggingface dataset:
Reproductive Biology and Endocrinology Study of Rna Interference Inhibiting Rat Ovarian Androgen Biosynthesis by Depressing 17alpha-hydroxylase/17, 20-lyase Activity in Vivo

Background: 17alpha-hydroxylase/17, 20-lyase encoded by CYP17 is the key enzyme in androgen biosynthesis pathway. Previous studies demonstrated the accentuation of the enzyme in patients with polycystic ovary syndrome (PCOS) was the most important mechanism of androgen excess. We chose CYP17 as the therapeutic target, trying to suppress the activity of 17alpha-hydroxylase/ 17, 20-lyase and inhibit androgen biosynthesis by silencing the expression of CYP17 in the rat ovary.
Performance Analysis of ANN based Gait Recognition

It is well-known that biometrics are a powerful tool for reliable automated person identification. Automatic gait recognition is one of the newest of the emergent biometrics and has many advantages over other biometrics. The most notable advantage is that it does not require contact with the subjects nor does it require the subject to be near a camera. This work employs a gait recognition process with binary silhouette-based input images and Artificial Neural Network (ANN) based classification in MATLAB. The performance of the recognition method depends significantly on the quality of the extracted binary silhouettes. In this work, a computationally low-cost fuzzy correlogram based method is employed for background subtraction. Even highly robust background subtraction and shadow elimination algorithms produce erroneous outputs at times with missing body portions, which consequently affect the recognition performance. Frame Difference Energy Image (FDEI) reconstruction is performed to alleviate the detrimental effect of improperly extracted silhouettes and to make the recognition method robust to partial incompleteness. Subsequently, features are extracted via two methods and fed to the BPNN (Back Propagation Neural Network based classifier which uses feature vector (exemplars) to compute similarity scores and carry out identification using weight vectors i.e. Frame-to-Exemplar-Distance (FED) vector. The FED uses the distance measure between pre-determined feature vectors and the weight vectors of the current frame as an identification criterion. The ANN performance is evaluated for recognition and speed parameters at different training gait angles.
Budgeted learning of nailve-bayes classifiers

There is almost always a cost associated with acquiring training data. We consider the situation where the learner, with a fixed budget, may 'purchase' data during training. In particular, we examine the case where observing the value of a feature of a training example has an associated cost, and the total cost of all feature values acquired during training must remain less than this fixed budget. This paper compares methods for sequentially choosing which feature value to purchase next, given the budget and user's current knowledge of Naive Bayes model parameters. Whereas active learning has traditionally focused on myopic (greedy) approaches and uniform/round-robin policies for query selection, this paper shows that such methods are often suboptimal and presents a tractable method for incorporating knowledge of the budget in the information acquisition process.
Quality of Life versus Length of Life: Are Cancer Patients' Preferences Stable Over Time?

ii Acknowledgements iv List of Figures ix List of Tables x Chapter One: Introduction 1 1.1 Quality of Life and Cancer 1 1.1.1 Background 1 1.1.2 Quality of Life Assessment of People with Cancer 2 1.2 Length of Life and Cancer 3 1.3 Quality of Life versus Length of Life and Cancer Treatment 3 1.3.1 Background 3 1.3.2 Cancer Patients’ Preferences for Quality of Life versus Length of Life 3 1.3.3 Stability of Patient Preferences for Quality versus Quantity 4 1.3.4 Practical Value 4 1.4 Aims of the Study 5 Chapter Two: Review of Literature 7 2.1 The Significance of QoL for Cancer Treatment Decision-making 8 2.1.1 QoL and Treatment for Breast Cancer 9 2.1.2 QoL and Treatment for Bowel Cancer 10 2.1.3 QoL and Treatment for Prostate Cancer 11 2.2 The Significance of LoL for Cancer Treatment Decision-making 12 2.3 Overview of Determinants of Patients’ Preferences in Cancer Treatment Decision-making 14 2.3.1 Treatment-Related Determinants 14 2.3.2 Socio-demographic Characteristics and QoL as Determinants 15 2.3.3 Clinical Characteristics as Determinants 17 2.3.4 Time-related Determinants 17 2.3. 5 Cognitive/affective Determinants 17 2.3. 6 Specialist-related Determinants 18 2.3. 7 Summary of Determinants of Patients’ Preferences 18 2.4 Approaches to Assessing QoL for Cancer Treatment Decision-making 19 2.4. 1 Background 19 2.4. 2 Descriptive and Valuational QoL Measures in Cancer 20 2.5 QoL versus LoL in Treatment Decision-making 21 2.5. 1 Studies on Preferences of Patients with Cancer for QoL versus LoL 22 2.5. 2 The Stability of Patients’ Preferences for QoL versus LoL 23 Chapter Three: Methods 25 3.1 Aims of the Study 25 3.2 Study Design 25 3.3 Setting and Sample 26 3.4 Ethical and Regulatory Procedures 27
Security Properties Verification of Security Protocols

We introduce security protocols by analyzing and verifying their properties. We use spi-calculus, an extension of the π-calculus, that enables us to consider cryptographic issues in more details. In this work we represent the security protocol as a process and we use the behavioral equivalences for describing secrecy and authenticity properties. Our goal is to design the practical procedure for verification of security protocols.
A 14 bit CMOS A/D converter based on dynamic current memories

Dynamic current memories allow the realization of accurate cyclic or pipeline A/D converters without requiring floating capacitors while being insensitive to linearity, hysteresis, and matching of components. A cyclic A/D converter based on this principle has been integrated in a 3- mu m CMOS technology and exhibits a 14-bit linearity. The authors present fundamental limits in terms of speed, accuracy, and noise of cyclic (pipeline) converters based on dynamic current memories. Limiting factors for the accuracy are mainly the charge injection in the gate storage capacitance, and the output conductance of the MOS current memory. Charge injection is minimized by using carefully designed compensation switches and by controlling some gate voltages. The effect of the output conductance is reduced by using a cascode transistor whose drain voltage is controlled by a current conveyor. <<ETX>>
Load balanced Birkhoff-von Neumann switches

Motivated by the need of a simple and high performance switch architecture that scales up with the speed of fiber optics, we propose a switch architecture with two-stage switching fabrics and one-stage buffering. The first stage performs load balancing, while the second stage is a Birkhoff-von Neumann input-buffered switch that performs switching for load balanced traffic. Such a switch is called the load balanced Birkhoff-von Neumann switch in this paper. The on-line complexity of the switch is O(1). It is shown that under a mild technical condition on the input traffic, the load balanced Birkhoff-von Neumann switch achieves 100% throughput as an output-buffered switch for both unicast and multicast traffic with fan-out splitting. When input traffic is bursty, we show that load balancing is very effective in reducing delay, and the average delay of the load balanced Birkhoff-von Neumann switch converges to that of an output-buffered switch under heavy load. Also, by simulations, we demonstrate that load balancing is more effective than the conflict resolution algorithm, i-SLIP, in heavy loads. When both the load balanced Birkhoff-von Neumann switch and the corresponding output-buffered switch are allocated with the same finite amount of buffer at each port, we also show that the packet loss probability in the load balanced Birkhoff-von Neumann switch is much smaller than that in an output-buffered switch when the buffer is large.
Spontaneous Muscle Hematoma in Dengue Hemorrhagic Fever: A Report of Four Cases

Background: Dengue is the most common arboviral infection in the world. Dengue hemorrhagic fever (DHF) presents with manifestations like bleeding gums, melena, menorrhagia, epistaxis and hemoptysis which are well documented. Spontaneous intramuscular hematoma is a rare manifestation of DHF and very few such cases were reported so far. Case Report: We report four cases of DHF complicated by spontaneous muscle hematomas, of which three were managed conservatively and one case needed transcatheter embolization. Conclusion: Sudden onset abdominal or back pain with decreasing hemoglobin level in the setting of dengue fever should incite a suspicion of spontaneous muscle hematoma. Nevertheless, orificial bleeding should be ruled out first. Diagnosis is by ultrasonogram or computerised tomography. Such cases are managed conservatively with fluid resuscitation, packed cell transfusion and analgesia. Most of the patients improve well with appropriate management. Intervention by embolization is rarely needed.
Optimisation de la retransmission des paquets perdus en streaming P2P

Les reseaux pair-a-pair (P2P) jouent aujourd'hui un role primordial dans la livraison de la video a grande echelle. La perte des paquets sur les reseaux IP, peut affecter defavorablement la qualite de la video recue. Differents mecanismes de reparation de perte sont utilises aujourd'hui. Ces mecanismes ont ete proposes initialement pour des applications n'ayant pas de contraintes de delai de reparation. Ils ne peuvent pas, donc, garantir la qualite de la video en cas de perte. Nous proposons dans ce papier un nouveau mecanisme de reparation de perte. Il permet d'optimiser la qualite de la video transmise sur les reseaux P2P. Son principe consiste a demander les paquets perdus a un pair selectionne aleatoirement parmi les pairs du reseau ayant ces paquets. Ce pair ne sera pas systematiquement leur fournisseur initial. Ce mecanisme vise a augmenter la probabilite de choisir un pair disponible pour faire la retransmission. Ceci peut augmenter la probabilite de recevoir les paquets retransmis avant leur temps de visualisation. Ce qui ameliore la qualite de la video recue. Nos etudes par simulations ont montre l'efficacite de ce mecanisme par rapport aux mecanismes actuels de retransmission.
L’ambivalence selon Bleuler : les nouvelles trajectoires d’un symptôme oublié

Individualisee en 1910 par Eugen Bleuler comme symptome fondamental des troubles du spectre de la schizophrenie, l’ambivalence designe la tendance de l’esprit schizophrenique a faire coexister, de maniere non dialectique et indepassable pour le sujet, deux attitudes affectives ou deux idees opposees en meme temps et avec la meme puissance. L’originalite de Bleuler est d’avoir pense l’ambivalence comme etant le resultat d’un relâchement associatif produit par une scission (« Spaltung »), voire une disparition (« Zerspaltung ») nette et radicale des associations fortes issues de la pensee empirique. Ce symptome, qui est toujours present meme dans les cas les plus legers, peut se manifester sous une forme affective (« affective Ambivalenz »), volitive (« Ambitendez ») ou intellectuelle (« intellektuelle Ambivalenz »). Desormais, les criteres actuels permettant de poser un diagnostic de schizophrenie ne font plus aucunement mention de l’ancienne ambivalence bleulerienne, le reproche principal etant celui d’etre un symptome trop rare, trop vague et trop psychanalytique. C’est probablement ce dernier point qui est le plus fonde. L’ambivalence affective, placee au centre de la theorie des pulsions, se decline selon la structure de personnalite du sujet : elle est integree chez le patient nevrotique (Freud, 1938), clivee chez le patient limite (Kernberg, 2004) et paradoxale chez le patient schizophrene (Racamier, 1990). Sous la loupe de la psychopathologie, nous allons decrire ces differentes formes d’ambivalence et expliquer en quoi elles se differencient, pour montrer que l’ambivalence bleulerienne reste un trouble de base tout a fait interessant a diagnostiquer, avant de presenter les equivalents que nous avons su trouver du cote de la phenomenologie psychiatrique et de completer notre expose par les apports de la psychologie experimentale et des neurosciences psychiatriques.
Endemic dissemination of different sequence types of carbapenem-resistant Klebsiella pneumoniae strains harboring blaNDM and 16S rRNA methylase genes in Kerman hospitals, Iran, from 2015 to 2017

Introduction The emergence and spread of Klebsiella pneumoniae strains resistant to multiple antimicrobial agents are considered as a serious challenge for nosocomial infections. Materials and methods In this study, 175 nonrepetitive clinical isolates of K. pneumoniae were collected from hospitalized patients in Kerman, Iran. Extended-spectrum β-lactamases (ESBLs), AmpC, and carbapenemase-producing isolates were recognized by phenotypic methods. The resistance genes including efflux pumps oqxA/oqxB, 16S rRNA methylase, ESBL, AmpC, and carbapenemase were detected by PCR-sequencing method. Molecular typing was performed by enterobacterial repetitive intergenic consensus-PCR and multilocus sequence typing methods among blaNDM-positive isolates. Results Thirty-seven (21.14%) isolates along with sequence types (STs): ST43, ST268, ST340, ST392, ST147, and ST16 were harbored blaNDM. ST43 in 2015 and ST268 during 2016–2017 were the most frequent STs among New Delhi metallo-beta-lactamase (NDM)-positive isolates. We found the distribution of some isolates with blaNDM, blaCTX-M, blaSHV, blaOXA, blaTEM, blaCMY, rmtC, and oqxA/oqxB. Enterobacterial repetitive intergenic consensus-PCR represented seven clusters (A–G) plus four singletons among NDM-positive isolates. This study provides the first report of blaNDM-1-positve K. pneumoniae along with ST268 as well as the spread of nosocomial infections with six different STs harboring blaNDM-1 and other resistance genes in hospital settings especially neonatal intensive care unit. Conclusion The dissemination of various clones of NDM-producing K. pneumoniae can contribute to increase the rate of their spread in health care settings. Therefore, molecular typing and detection of resistance genes have an important role in preventing and controlling infection by limiting the dissemination of multidrug-resistant isolates.
A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks

Wind velocity (strength and direction) is an important parameter for unmanned aerial vehicle (UAV)-based environmental monitoring tasks. A novel wind velocity estimation method is proposed for rotorcrafts. Based on an extended state observer, this method derives the wind disturbance from rotors’ speeds and rotorcraft’s acceleration and position. Then the wind disturbance is scaled to calculate the airspeed vector, which is substituted into a wind triangle to obtain the wind velocity. Easy-to-implement methods for calculating the rotorcraft’s thrust and drag coefficient are also proposed, which are important parameters to obtain the wind drag and the airspeed, respectively. Simulations and experiments using a quadrotor in both hovering and flight conditions have validated the proposed method.
Event Implementing Privacy of Data and Classification Approach using Data Anonymization Techniques

Now a day’s to provide privacy of personal information is a challenging to data management communities. So that the communities are allow to processing of personal information without loss of data. To provide privacy of personal information the communities are using so many data anonymization techniques. One of the data anonymization technique is tree structured data oriented for provide privacy of personal information. In the tree structured data anonymization technique will face the problem of time complexity for generalized data. So that to generalize the personal information it will build the data oriented tree structure and perform the search operation. To overcome this problem we are proposed Posteriori Probability of generalizations approach for performing classification of data. Before performing this process we can store data into database within format cipher format. So that by converting plain format data into cipher format we are using extended tiny encryption algorithm. By implementing encryption process we can provide privacy of personal information and also improve efficiency of stored data. So that by using those operations we can provide privacy of personal information and also get required treatment for particular diseases. In this paper we are take personal information related to the medical data and perform those operations on that data. By implementing those concepts we can overcome time complexity and also provide more security of data.
MASked-unconTrolled hypERtension management based on office BP or on ambulatory blood pressure measurement (MASTER) Study: a randomised controlled trial protocol

Introduction Masked uncontrolled hypertension (MUCH) carries an increased risk of cardiovascular (CV) complications and can be identified through combined use of office (O) and ambulatory (A) blood pressure (BP) monitoring (M) in treated patients. However, it is still debated whether the information carried by ABPM should be considered for MUCH management. Aim of the MASked-unconTrolled hypERtension management based on OBP or on ambulatory blood pressure measurement (MASTER) Study is to assess the impact on outcome of MUCH management based on OBPM or ABPM. Methods and analysis MASTER is a 4-year prospective, randomised, open-label, blinded-endpoint investigation. A total of 1240 treated hypertensive patients from about 40 secondary care clinical centres worldwide will be included -upon confirming presence of MUCH (repeated on treatment OBP <140/90 mm Hg, and at least one of the following: daytime ABP ≥135/85 mm Hg; night-time ABP ≥120/70 mm Hg; 24 hour ABP ≥130/80 mm Hg), and will be randomised to a management strategy based on OBPM (group 1) or on ABPM (group 2). Patients in group 1 will have OBP measured at 0, 3, 6, 12, 18, 24, 30, 36, 42 and 48 months and taken as a guide for treatment; ABPM will be performed at randomisation and at 12, 24, 36 and 48 months but will not be used to take treatment decisions. Patients randomised to group 2 will have ABPM performed at randomisation and all scheduled visits as a guide to antihypertensive treatment. The effects of MUCH management strategy based on ABPM or on OBPM on CV and renal intermediate outcomes (changing left ventricular mass and microalbuminuria, coprimary outcomes) at 1 year and on CV events at 4 years and on changes in BP-related variables will be assessed. Ethics and dissemination MASTER study protocol has received approval by the ethical review board of Istituto Auxologico Italiano. The procedures set out in this protocol are in accordance with principles of Declaration of Helsinki and Good Clinical Practice guidelines. Results will be published in accordance with the CONSORT statement in a peer-reviewed scientific journal. Trial registration number NCT02804074; Pre-results.
Intrinsic thalamocortical connectivity varies in the age of onset subtypes in major depressive disorder

Background Differences in the thalamocortical system have been shown in patients with major depressive disorder (MDD). Given prior evidence of phenotypic heterogeneity by the age of onset in MDD, we examined whether differences in thalamocortical connectivity could identify biological subtypes of MDD defined by the age of illness onset. Methods A total of 94 subjects including 20 early-onset (EO) MDD (onset, 18 years), 34 adult-onset (AO) MDD, and 40 healthy controls (HCs) underwent resting-state functional MRI. Blood-oxygen-level-dependent time courses were extracted from six cortical regions of interest (ROIs) consisting of frontal, temporal, parietal, and occipital lobes and precentral and postcentral gyri. Each ROI’s time course was then correlated with each voxel in thalamus, while covarying out signal from every other ROI. Results The analysis of variance results showed significant main effects of group in frontal and temporal connectivity with thalamus. Group contrasts showed a right fronto-thalamic hypo-connectivity only in AO-MDD, but not in EO-MDD, when compared to HCs. However, direct comparison between EO-MDD and AO-MDD showed no differences. Furthermore, there was a right temporal–thalamic hyperconnectivity in both EO-MDD and AO-MDD patients relative to HCs. These results were not accounted for by sex, age, or illness burden. Conclusion The age of illness onset may be a source of heterogeneity in fronto-thalamic intrinsic connectivity in MDD.
Tilted Fiber Bragg Grating Sensor Using Chemical Plating of a Palladium Membrane for the Detection of Hydrogen Leakage

A tilted fiber Bragg grating (TFBG) hydrogen sensor coated with a palladium (Pd) membrane by the electroless plating method is proposed in this paper. A uniform layer of Pd metal is fabricated in aqueous solutions by the chemical coating method, which is used as the sensitive element to detect the change of the surrounding refractive index (SRI) caused by hydrogen absorption. The change in SRI causes an unsynchronized change of the cladding modes and the Bragg peak in the TFBG transmission spectrum, thereby eliminating the cross-sensitivity due to membrane expansion and is able to simultaneously monitor the presence of cracks in the pipe, as well as the hydrogen leakage. By subtracting the wavelength shift caused by fiber expansion, the change of SRI, i.e., the information from the H2 level, can be separately obtained. The drifted wavelength is measured for the H2 concentration below the hydrogen explosion limit between 1% and 4%. The chemical-based coating has the advantages of a low cost, a simple operation, and being suitable for coating on long fiber structures. The proposed sensor is able to detect the H2 signal in 5 min at a 1% H2 concentration. The proposed sensor is proved to be able to monitor the hydrogen level without the cross-sensitivity of temperature variation and expansion strains, so could be a good candidate for security applications in industry.
MoPer 1 is required for growth , conidiogenesis , and pathogenicity in Magnaporthe oryzae

Background: GPI-anchoring is a prevalent Glycosylphosphatidylinositol modification process of posttranslational protein and is necessary for cell wall integrity in eukaryotes. To date, the function of GPI anchored-related protein remains unknown in phytopathogenic fungi. Results: We here characterized the functions of MoPer1, a homolog of Saccharomyces cerevisiae ScPer1, from the rice blast fungus Magnaporthe oryzae. Transcriptional analysis demonstrated that MoPER1 was significantly upregulated during conidiation and infection. We found that the ΔMoper1 mutant was defective in conidiation and appressoria formation, and MoPer1 was involved in osmotic stress response and maintaining the cell wall integrity. Pathogenicity assays indicated that deletion of MoPEP1 significant reduction in virulence. Microscopic examination of the lesions revealed that the invasive hyphae of ΔMoper1 mutants were mostly restricted to the primary infected leaf sheath cells. Conclusions: Our results indicated that MoPer1 is necessary for growth, conidiogenesis, and pathogenicity of the fungus. Our study facilitated to deep elucidate the pathogenic molecular mechanism of M. oryzae, and also provided a very helpful reference value for developing effective fungicide pointed at as the gene for target.