Miracle-dz/UniFAR-FTUs huggingface dataset:
A Prospective Randomized Trial Comparing Stenting to Internal Mammary Artery Grafting for Proximal, Isolated De Novo Left Anterior Coronary Artery Stenosis: The SIMA Trial

OBJECTIVE To compare coronary artery bypass grafting (CABG) with percutaneous transluminal coronary angioplasty (PTCA) in patients with proximal, isolated de novo left anterior descending coronary artery disease and left ventricular ejection fraction of 45%. PATIENTS AND METHODS In the multicenter Stenting vs Internal Mammary Artery (SIMA) study, patients were randomly assigned to PTCA and stent implantation or to CABG (using the internal mammary artery). The primary clinical composite end point was event-free survival, including death, myocardial infarction, and the need for additional revascularization. Secondary end points were functional class, antianginal treatment, and quality of life. Analyses were by intention to treat. RESULTS Of 123 patients who accepted randomization, 59 underwent CABG, and 62 were treated with stent implantation (2 patients were excluded because of protocol violation). At a mean ± SD follow-up of 2.4±o.9 years, a primary end point had occurred in 19 patients (31%) in the stent group and in 4 (7%) in the CABG group (P P =.90). The functional class, need for antianginal drug, and quality-of-life assessment showed no significant differences. CONCLUSIONS Both stent implantation and CABG are safe and highly effective treatments to relieve symptoms in patients with isolated, proximal left anterior descending coronary artery stenosis. Both are associated with a low and comparable incidence of death and myocardial infarction. However, similar to PTCA alone, a percutaneous approach using elective stent placement remains hampered by a higher need for repeated intervention because of restenosis.
The Multimodal Fusion in Security Systems Design

Rezumat: Articolul abordează problematica fuziunii multimodale ca tehnică de proiectare şi dezvoltare a sistemelor de securitate. Se realizează şi un studiu de caz pentru un model de fuziune multi-nivel, atât la nivel de caracteristici cât şi la nivel de scor, în cazul unei aplicaţii biometrice. Modelul propus de fuziune multinivel asigură o creştere a performanţelor în ambele moduri operaţionale, verificare şi identificare. Componenta de fuziune la nivel de caracteristici are contribuţia cea mai importantă la creşterea performanţelor. Cuvinte cheie: fuziune multimodală, caracteristici, sistem de securitate, reguli de combinare Abstract: The paper approaches the multimodal fusion as a design and development technique for security systems. Also there is a case study for a multi-level fusion model, both on feature and matching score level, with a biometric application. The proposed multi-level fusion model provides a performance enhancement in both operational modes, verification and identification. The featurelevel fusion component provides the most important support for the performances improvement.
Quality and Safety of Pork Steak Marinated in Fermented Dairy Products and Sous-Vide Cooked

Consumers expect the appropriate tenderness, juiciness, and taste, a well as sufficiently long shelf life from meat subjected to thermal processing. One of the methods used to achieve this effect is sous-vide (SV). However, the low temperatures used in this method may not be sufficient to ensure the safety of the meat product. In order to increase safety and reduce adverse sensory changes, we suggest marinating the meat in fermented dairy products (FDP). The aim of the study was to determine the impact of marinating meat in FDP (kefir, yogurt, buttermilk), marinating time (3–12 days), and SV temperature (60 or 80 °C) on the quality and safety of pork steaks. Marinating the meat increases the level of loss during cooking, but at the same time, has no effect on the chemical composition and activity of water. The acidity of steaks decreases with the time of marinating. A few days of meat marinating in buttermilk or yogurt slows down the fat oxidation reactions and reduces the content of oxidizing substances in meat. Meat marinated in FDP and SV cooked contains acceptable microbial values. Marinating in FDP, especially in yogurt or buttermilk, improves the quality and safety of SV-cooked pork steaks.
Development of mass spectrometers from Thomson and Aston to present

Mass spectrometry contributed to the understanding of the structure of elementary matter including the isotopic nature of the chemical elements, isotopic abundances, nuclear binding, and the investigation of nuclides far-off stability. In this paper the continuous development of mass spectrometers from W. Wien’s first mass analysis to J.J. Thomson’s discovery of isotopes, F.W. Aston’s mass spectrometers, and the Mattauch–Herzog double focusing spectrometer to the present rare isotope facilities will be discussed. Separators with magnetic sector fields e.g. from A.O. Nier and the Oak Ridge separator batteries for large-scale isotope production are included. The first applications to chemistry and geochemistry will ector mass spectrometers istorical developments
New High Performance 8 T SRAM Cell Using FinFET Technology

In the design of memory, the estimation of dynamic power, dynamic current, leakage current and power of leakage are very essential, especially for low power applications. In this paper, we propose a FinFET base 8T Static Random Access Memory (SRAM) cell. FinFETs also promise to improve the difficult performance report power of compromise. FinFET can be used to reduce the leakage current and power of leakage. The purpose of this paper is to reduce the leakage current, power and improve the power of FinFET based 8T SRAM cell. The present paper represents the simulation of 8T and the analysis of SRAM different parameters such as power dissipation, leakage current and power of leakage. By this paper the leakage current improve 4.35 nA to 2.83 nA and leakage power 16.60 nW to 11.35 nW. The WSNM is 530.30 and RSNM is 516.70Mv. In this paper we use Empyrean Aether tools at 22 nm technology.
TO MOVE OR NOT TO MOVE ? MOVEMENT , INTERVENTION AND OPTIONALITY IN THE ACQUISITION OF A ’-DEPENDENCIES

The general cross-linguistic picture for the acquisition of A’-dependencies shows that they do not all emerge at the same point in time. Both whquestions and relative clauses (RCs) are acquired as early as 3-4 years old when the head of the dependency is the subject (see examples in (a) below). Object dependencies with a ‘bare’ (–NP) moved element (i.e. who-questions and ‘free’ RCs) illustrated in (1b) and (4b) are also consolidated early (Avrutin 2000, Friedmann, Belletti & Rizzi 2009). In contrast, object dependencies with a lexical restriction (meaning sequences such as ‘the/which + NP’, given in (2b) and (3b)) are difficult for children to comprehend until around the age of 6 (Corrêa 1995, Adani 2011, Friedmann et al. 2009, a.o.):
A Low-Energy Application Specific Instruction-Set Processor towards a Low-Computational Lossless Compression Method for Stimuli Position Data of Artificial Vision Systems

This paper proposes a novel data compression method for artificial vision systems and its low-energy implementation in order to reduce energy consumption in a wireless communication subsystem. The artificial vision systems are one of the methods for realizing visual prosthesis by controlling stimulus to visual nerves, and they consist of an inner stimulating unit and an outer image processing unit. The outer unit transmits information regarding stimulation to the inner unit via wireless communication, which occupies a large portion of the whole energy consumption. Reducing traffic in wireless communication is important to prevent damage caused by extra heat dissipation of the inner unit, which leads to excess energy consumption. The proposed compression method marks a higher compression ratio than the conventional compression methods by taking advantage of the analyses of stimuli position data, which is dominant in traffic. The proposed method is implemented as an application-domain specific instruction-set processor to achieve both configurability of stimulation control and compression efficiency. The evaluation results show that the proposed implementation reduces energy consumption by about 87% and 62% in the compression and decompression process, respectively. These results indicate that the proposed method can expect to reduce energy consumption in a wireless communication receiver dramatically.
Hedge Fund Activists: Do They Take Cues from Institutional Exit?

This paper investigates the role of institutional trading in the emergence of hedge fund activism – an important corporate governance device. We find that institutional selling volume raises a firm’s probability of becoming an activist target. Institutional sales appear to accelerate the timing of a campaign at firms whose potential benefits from monitoring have already been recognized by activists rather than bring attention to firms that are outside the activists’ radar screen. Further, we study the hedge funds’ accumulation of target shares at the daily frequency and find that: (i) institutional selling volume increases hedge fund buying volume, and (ii) this effect is significantly stronger for firms with lower expected benefits from activism. For identification, we exploit each individual institution’s funding circumstances as an exogenous determinant of institutional trading volume. Taken together, our results provide empirical support to theoretical predictions that expected gains from trading with uninformed investors supplement expected gains from monitoring in determining the activist’s targeting decision.
WHO EMRO | Hypertension and associated cardiovascular risk factors among urban slum dwellers in Egypt: a population-based survey

Results: Smoking, insufficient fruit/vegetable consumption, low physical activity and diabetes were reported by 43.4%, 92.2%, 98.4% and 8.7% of the sample respectively. The prevalence of hypertension and overweight/obesity were 31.2% and 73.0% respectively. Most of the participants (83.8%) had ≥ 3 cardiovascular risk factors. A significantly higher proportion of men smoked, engaged in less physical activity, had diabetes and had multiple risk factors. Hypertension was significantly associated with age 30–
Optimization and statistical learning theory for piecewise smooth and switching regression. (Optimisation et théorie statistique de l'apprentissage pour la régression douce par morceaux et à commutations)

This manuscript deals with several machine learning problems. More precisely, we study two regression problems involving multiple models: piecewise smooth regression and switching regression. Piecewise smooth regression refers to the case where the target function involves jumps (of values or derivatives) and is usually tackled by learning multiple smooth models and a classifier determining the active model on the basis of the input. Switching regression refers to the case where the target function switches between multiple behaviors arbitrarily (and thus independently of the input). The first part of the document focuses on optimization and computational complexity issues. Here, we try to characterize under which conditions it is possible to exactly minimize the empirical risk of these particular regression models. In the second part, we analyze the generalization performance of the models in the framework of statistical learning theory. The standard tools of this framework are introduced in a chapter dedicated to multi-category classification, which we encounter in piecewise smooth regression and which also shares a number of characteristic features with switching regression regarding the analysis in generalization. Technically, the first part contains proofs of NP-hardness, polynomial-time exact algorithms for fixed dimensions and a global optimization method with reasonable computing time for moderate dimensions. The second part derives risk bounds by relying on the estimation of Rademacher complexities, structural decomposition lemmas, chaining arguments and covering numbers. The obtained risk bounds are discussed with a particular emphasis on their dependency on the number of component models.
Breakfast Skipping and Health Status among University Professionals in Bangladesh.

Objective: Regularly skipping breakfast put people at high risk of a number of conditions – such as high blood pressure, diabetes, obesity and high cholesterol. The objective of this study was to evaluate the prevalence of breakfast skipping and associated health risk among university professionals in Bangladesh. Study design: A cross-sectional descriptive study design was performed on a total of 120 university professionals, who were randomly selected in two distinct universities in Dhaka city, Bangladesh. Factors associated with breakfast skipping were identified using multivariate regression models. Result: Results indicated that approximately 35.8% of the sample skipped breakfast. Gender was the only statistically significant sociodemographic variable, with females skipping at over two times the rate of males (OR 95% CI: 1.9; 0.90-4.13). The reasons given for skipping breakfast were almost exclusively habit (39.5%), work pressure (23.2%) and lack of time (16.2%). Skippers were significantly more likely to be obese (OR 2.4; 95% CI 1.02- 5.7), less energetic (OR 3.5; 95% CI 1.5-8.6), associated with health problems (OR 4.3; 95% CI 1.8- 10.17) and eating tendency of fast food (OR 2.5; 95% CI 1.13 - 5.5). Gastric and heart burn (X 2 =4.19 , p <0.05) and high blood pressure (X 2 =5.027, p< 0.05) were detected among 34.9% and 27.9 % of those employees respectively identified as breakfast skippers and they showed significantly high prevalence. Conclusion: Breakfast skipping is highly prevalent among university professionals with significant association of different health problems in Bangladesh. Health promotion strategies should be used to encourage all adults to eat breakfast regularly.
A Sensor Fusion Approach to Extending Range of Environment Mapping Devices

Currently available commercial spatial mapping devices mostly use infrared camera to obtain a depth map which is e ﬀ ective only for short to medium distances (3-4 meters). However, that range can be extended by using existing environment mapping devices and techniques and a combination of a camera, Inertial Measurement Unit, and Light Detection and Ranging devices supported by sensor fusion and computer vision techniques. The proposed approach consists of three steps. The ﬁrst step is data collection and data fusion using embedded hardware; the second step is data processing (segmentation) and the third step is creating a geometry mesh of the environment. The developed system was evaluated by measuring the room dimension and objects within the room. This low cost system can expand the mapping range of the existing mixed reality devices such as Microsoft HoloLens device.
A Two-Stage Algorithm for Joint Multimodal Image Reconstruction\ast

We propose a new two-stage joint image reconstruction method by recovering edges directly from observed data and then assembling an image using the recovered edges. More specifically, we reformulate joint image reconstruction with vectorial total-variation regularization as an l1 minimization problem of the Jacobian of the underlying multimodality or multicontrast images. We provide detailed derivation of data fidelity for the Jacobian in Radon and Fourier transform domains. The new minimization problem yields an optimal convergence rate higher than that of existing primaldual based reconstruction algorithms, and the per-iteration cost remains low by using closed-form matrix-valued shrinkages. We conducted numerical tests on a number of multicontrast CT and MR image datasets, which demonstrate that the proposed method significantly improves reconstruction efficiency and accuracy compared to the state-of-the-art joint image reconstruction methods.
Phytochemical Screening and Estimation of Flavonoids in Leaves, Roots and Stem of Martynia annua Linn

India is one of the ancient traditional herbal ayurvedic knowledge system which employs a large number of plant species such as Ayurveda (2000 species), Siddha (1121 species), Unani (751 species) and Tibetan (337 species) [1]. Use of different plants as a source of various medicines has been inherited from the onset of human civilization and is an important component of the healthcare system [2]. Medicinal plants are used for nutritional as well as medicinal needs. Important herbal products include herbal teas, functional foods, medicinal raw materials, essential oils, flavoring and dietary supplements [3]. The fact of using medicinal plants as a medicine lies in the reason that they contain chemical compounds of therapeutic values [4]. These are the naturally occurring compounds found in the medicinal plants, vegetables, fruits, flowers, leaves, roots, stem bark and work together with nutrients and fibers to act as a defense system and protect humans against diseases. These compounds are called secondary metabolites that often play an important role in plant defense against herbivory [5] and other interspecies defenses. These chemical compounds form the backbone of the modern medicines or drugs [6].
Design and Simulation of Boost Converter with MPPT Techniques

Abstract: The increase in use of renewable energy sources lead to use more of photovoltaic system which has higher advantages than others. The power from solar panel is difficult to track because sudden change in solar irradiation and other climatic conditions. Therefore power is extracted with the help of MPPT algorithm. In this paper, solar panel is designed for 18V input and 147V output conditions. The controller is designed with P&O and Incremental conductance algorithm and their results are compared. From the simulation results it is observed that incremental conductance algorithm has better performance.
Bridging the Gap between Representative-Agent and Heterogeneous-Agent Models

Understanding the differences and similarities between heterogeneous-agent models and representative-agent models has been at the forefront of macroeconomics for the last twenty years. While it is known that perfect macroeconomic aggregation can fail for even trivial reasons, this does not preclude use of representative-agent abstraction if the divergence implied for aggregate behavior is small. For instance, in a seminal paper on heterogeneity in macroeconomic models, Krusell and Smith (1998), finds that even in the face of idiosyncratic risk with heterogeneous income, wealth, and preferences, a model might only keep track of a “representative budget” with little loss in information, and that a heterogeneous-agent model might attain “approximate aggregation,” in which it behaves substantially similarly to a representative agent model, in spite of a breakdown in perfect aggregation. However, other papers find that modeling heterogeneity can cause substantial deviations in behavior, as in Chang and Kim (2007, 2014) and Takahashi (2014). This paper provides a bridge for understanding where representative-agent and heterogeneous-agent models might diverge. By quadraticizing univariate outcome response to a parameter change for both heterogeneous-agent and representative-agent models, I obtain a closed formula that relates differences to five causes: (1) the covariance of linear outcome responsiveness with a parameter change, (2) the variance of the parameter change, weighted by the mean quadratic responsiveness to the change, (3) the covariance of quadratic outcome responsiveness with a parameter change (4) the co-skewness of linear responsiveness with tax change, and (5) initial miscalibration in responsiveness. My formula helps shed light on the conditions under which approximate aggregation can fail. I apply my model to understand four important macroeconomic models: the approximate
Schmerzen in Knochen und Bindegewebe. In der Kontrollgruppe aus der Allgemeinpraxis lag der Anteil mit den Beschwerden bei jeweils 8%, 9% und 28%. Folgende Krankheiten und Symptome werden demnach von Schwermetallen gefördert:-Psyche: Depressionen, „Vegetative Dystonie“, Angstneurosen, Panikattacken

Lit. : Valko M. , Morris H. , Cronin MTD (2005): Metals, Toxicity and Oxidative Stress. Curr. Med. Chem. 12, 11611208. Zusammenfassende Arbeit zur Toxikologie der Schwermetalle mit Bezug zu den Redox-Systemen der Zelle (Glutathion usw.) (Ordner Schwermetalle, Zahnmetalle). Schwerund Übergangsmetalle wie Eisen, Nickel, Chrom, Zink, Cadmium, Quecksilber und Blei, reichern sich hoch signifikant in Brustkrebsgewebe an, wenn man die Konzentrationen von gesunden Kontrollpersonen vergleicht. Im Gewebe führen sie zu einer verstärkten Produktion freier Radikale, Lipid-Peroxidation, DNASpaltung, Mutationen und Krebsauslösung. Beim Eisen entstehen in der Fentonund Haber-Weiss-Reaktion dadurch hohe Konzentrationen von Hydroxyl-Radikalen, die zu Lipidperoxidation, Apoptose und DNA-Schäden führen. Fenton-Reaktion: Fe++ + H2O2 --> Fe3+ + OH* + OH-
The Function of the Legs in the Free Walking Stick Insect, Carausius morosus

1. The function of the legs of a free walking mature stick insect ( Carausius morosus) is investigated in four different walking situations: walks on a horizontal path, walks on a horizontal plane, walks on a horizontal beam with the body hanging from the beam and walks up a vertical path. 2. The geometrical data, which are necessary to describe the movement of the legs, are determined (Tables 1, 2, 3, 4; Figs. 2, 3, 4, 5). 3. The forces, by which the leg of a free walking animal acts on the walking surface, are measured (Table 5). Typical results are shown in Figures 6, 7, 8, 9 for each walking situation. From these forces and the known geometrical relationships the torques, which are produced by the antagonistic muscle systems at each leg joint, can be calculated (Fig. 10). Those torques calculated for different typical leg positions are shown in Table 6, 7, 8, 9 for each walking situation. 4. The results show that many things change depending upon the particular walking situation: the angular range in which the leg is moved (Table 2, Fig. 4), the activation and the kind of predominance of the antagonistic muscles (Table 6, 7, 8, 9), and especially the function of the single legs. Additionally, when looking at the direction of movement of a limb one cannot say which of the antagonistic muscles is predominating. Sometimes just the muscle opposite to the actual movement predominates (Table 7). 5. For two walking situations the function of the legs can be demonstrated in a simple way. In a walk on the horizontal plane: the forelegs mainly have feeler function, the middlelegs have only supporting function, while the hindlegs have supporting as well as propulsive function. In ~/ walk with the body hanging from the horizontal beam: forelegs and hindlegs are used mainly to support the body, while the middlelegs additionally provide the propulsive forces. 6. In walking up the vertical path all legs provide support and propulsive forces. When walking on the horizontal path foreand middlelegs on the
IT SYSTEMS TO SUPPORT INNOVATION An empirical analysis of IT Systems to Support Innovative Product Development in Analog Devices B.V

The provision of systems to support and promote innovation has become a significant concern for New Product Development (NPD) processes as they try to cope with the rapid rate of technology development, change of customer’s needs, and shortened product life cycles. Companies such as Analog Devices Inc. (ADI) see the creation of an environment that encourages knowledge to be created, stored, shared and applied for the benefit of the organization and its customers as a key strategic activity. Despite the fact that such initiatives have been widely reported in the business press, the role of IT systems to support innovation in new product development is not well understood. This paper describes one such in initiative – as it was executed in practice in Analog Device’s NPD organization in Ireland. The work is presented in the context of current research in Knowledge Management Systems (KMS). The structure of the paper is set out in Table 1.