Miracle-dz/UniFAR-FTUs huggingface dataset:
67 fJ / bit single-ended disturb-free 5 T loadless 4 kb SRAM using 90 nm CMOS technology

A novel single-ended SRAM is proposed in this study, where the built-in self-refleshing data retention path has been utilized to reduce the SRAM cell area. In order to reduce the power-delay product, an analytical solution to derive the optimal number of the 5T cells on the BLB is reported in this paper. The proposed SRAM is implement by TSMC 90 nm CMOS technology. According to the measurement results, the energy dissipation per write/read operation is found to be 0.479/0.091 fJ provided that the SRAM cells is supplied a 0.6 V VDD supply.
COMMUNITY CONVERGENCE IN DISTURBED SUBTROPICAL

Do communities return to their former state when we disturb them? The answer is ‘‘surely not always,’’ since some disturbances may be so devastating that recovery will be impossible. If communities do recover, then how fast is that recovery? Do different subsets of species return at the same rate? Is that rate a simple exponential recovery— meaning that the change toward the original state is fastest when the community is furthest away and it slows as the community converges? Or is recovery a more dynamically complex process? These questions are theoretically interesting and practically important. The theoretical questions are if there is a particular state—some exact composition—to which a community is likely to return, if there might be several (or many) possible such states, or if community composition is essentially haphazard. The practical implication is that if disturbed ecological communities do not tend to return to a previous state, it may be impossible to undo human impacts on natural ecosystems. We follow the fate of species assemblages following the removal of vegetation for mining. We show that these assemblages in restored subtropical coastal dune forests in South Africa do converge with a regional equilibrium state and that convergence is possible within a reasonable period. However, changes in assemblages from different trophic levels were idiosyncratic: convergence in the dung beetle assemblage did not mimic convergence for trees and birds, for example. Few of the assemblages converged exponentially, the simplest shape for the decay function. Furthermore, trends were sometimes different for different indices of community dissimilarity, suggesting that whether one accepts convergence depends, in part, on exactly what one measures.
Distribution of matrix metalloproteinase-9 (Mmp-9) -1562 C/T gene polymorphism in indonesian males with periodontitis

The aim of this research was to compare the distribution of the MMP-9 -1562 C/T (rs3918242) polymorphism in Indonesian males with and without periodontitis. This descriptive study used 100 stored biological samples. The variation in the MMP-9 (-1562 C/T) polymorphism was investigated by the polymerase chain reaction (PCR) – restriction fragment length (RFLP) method with SphI restriction enzyme digestion and electrophoresis of the resulting fragments. A significant difference was found for MMP-9 -1562 C/T genotypes and alleles between subjects with periodontitis and healthy controls (p < 0.05). The T allele was relatively uncommon, as it appeared in 2% of healthy controls, with no TT genotype observed in subjects with or without periodontitis. Nevertheless, the T allele and CT genotype appeared to be significantly associated with the risk of periodontitis. The results suggested that the T allele of the MMP-9 -1562 C/T polymorphism is significantly associated with periodontitis. Experimental article (J Int Dent Med Res 2017; 10(Special Issue): pp.778-781)
Potential antidiabetic and antioxidant activities of a heliangolide sesquiterpene lactone isolated from Helianthus annuus L. leaves

Abstract Heliangolide is a naturally occurring sesquiterpene lactone and its derivatives are biologically active compounds present in most medicinal plants. This study evaluated the antioxidant and antidiabetic properties of a heliangolide sesquiterpene lactone isolated from Helianthus annuus L. leaves. The heliangolide sesquiterpene lactone was isolated through a combination of solvent-solvent partitioning, column chromatography, thin layer chromatography and high-performance liquid chromatography techniques. The antioxidant activity of the compound was evaluated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and nitric oxide radical scavenging assays while the antidiabetic effects were investigated in alloxan-induced diabetic rats. The heliangolide derivative at the concentration of 954.2 µmol L−1 showed 23.7 % DPPH and 26 % nitric oxide radical inhibitions compared with 96.6 and 50.9 %, resp. , displayed by the controls (2,271.2 µmol L−1). It also reduced the fasting blood glucose (FBG) levels in a time-dependent manner. The highest activity was recorded within 6 h post-treatment at 0.2 mmol kg−1 bm. The heliangolide derivative exhibited significant (p < 0.05) antioxidant and antidiabetic properties and provides a basis for further development of constituents of Helianthus annuus leaves for the management of such diseases.
The Medical cause of death manual : instructions for writing cause of death statements for deaths due to natural causes

Interestingly, the medical cause of death manual instructions for writing cause of death statements for deaths due to natural causes that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
Greening the Common Agricultural Policy – Insights from a field experiment in Lower Saxony , Germany *

This study investigates the behavioral economic underpinnings of the current policy approaches to integrate environmental objectives into the Common Agricultural Policy. We conduct an economic field experiment with farmers in the German state of Lower Saxony. We analyze the impact of the following policy design features on farmers’ decisions to adopt environmentally-friendly agricultural practices: (i) framing of the policy: whether farmers perceive themselves as being part of the problem or the solution, (ii) degree of control: mandatory vs. voluntary policy (iii) framing of incentives as either losses or gains compared to the status-quo. All policy designs tested result in a significant increase in hectares conserved compared to a baseline scenario without policy. Also behavioral factors do significantly affect farmers’ behavior at the individual level. Only framing is found to significantly affect policy effectiveness.
Arxiv preprint using ICLR template A DVERSARIAL M IXUP R ESYNTHESIZERS

In this paper, we explore new approaches to combining information encoded within the learned representations of autoencoders. We explore models that are capable of combining the attributes of multiple inputs such that a resynthesised output is trained to fool an adversarial discriminator for real versus synthesised data. Furthermore, we explore the use of such an architecture in the context of semi-supervised learning, where we learn a mixing function whose objective is to produce interpolations of hidden states, or masked combinations of latent representations that are consistent with a conditioned class label. We show quantitative and qualitative evidence that such a formulation is an interesting avenue of research.
Analysis of BCL 11 A gene polymorphisms and hemolysis parameters in patients with sickle-cell disease

Introduction: Patients with sickle-cell disease (SCD) present chronic hemolysis with increased serum biomarkers. Genetic polymorphisms of the BLC11A gene modulate fetal hemoglobin (HbF), thus reducing hemolysis. Objective: To associate the polymorphisms of BCL11A gene with the hemolysis markers: reticulocyte, bilirubin, uric acid, lactate dehydrogenase (LDH), and methemoglobin (MetHb) in SCD patients. Methods: The study included 45 patients with SCD of both sexes using hydroxyurea (HU), treated at a Hospital in Fortaleza, Ceará, Brazil, along with 80 healthy individuals as the control group. MetHb, uric acid, and bilirubin measurements were carried out with the spectrophotometric method, and LDH with a kinetic method, a reticulocyte count by a manual method; and evaluation of BCL11A polymorphisms, in real time polymerase chain reaction (PCR). Data were analyzed using the statistical software GraphPad Prism. The level of significance was set at < 5%. Results: In region rs7557939 of the BCL11A gene genotype, A/G showed a significant increase of MetHb (p = 0.0297), and the A/A genotype showed high concentration of LDH (p = 0.0316) in the same region. The use of HU at doses ≥ 10 mg/kg/day showed a decrease of LDH (p = 0.02), and treatment for > 50 months was linked to the reticulocyte count (p = 0.0155). Conclusion: Polymorphisms in the rs7557939 region of the BCL11A gene appear to somehow interfere in the clinical setting of patients with SCD, suggesting relation with the concentration of MetHb and LDH. This study pioneered an investigation into the association of hemolysis biomarkers with BCL11A gene polymorphisms in SCD.
Inside Consultants : Revelation of Another Reality Application of liminality concept to the work of inside consultants Master Programme in Managing People , Knowledge and Change

Providing of consulting services has been a subject of rapid development during the last three decades. This recent development has led to blurrin g the line between consultancies and outsourcing services. In this respect, consulting f irms outsource skilled and experienced consultants who are contracted to work at a client site for a certain period of time. Consultants based at the client offices are thus in the role of insiders, establishing close relations with representatives of a client organisation. Such clos e inter-organisational cooperation significantly challenges traditionally understood o rganisational boundaries. As a result, outsourced consultants in the role of insiders find themselves in between their consultancy company and the client, in between inside and outsi de. In order to explore and map this uncertain position of inside consultants we apply t he anthropological concept of liminality, introduced by Arnold van Gennep and further develop d by Victor Turner. Moreover we bring to light Eliade’s work on sacred and profane world and show how the Romanian philosopher’s theory can benefit the view of inside consultants as liminal entities. This paper will thus provide an in-depth description of the co mplex dimensions of inside consultants’ position, identity construction and their sense of belonging.
Overextended Root Canal Filling of an Immature Maxillary Central Incisor – Case Report

Overextension refers to inadequate and poor root canal obturation that extends beyond the periapical region of the tooth. Root canal overextension is often associated with a wide range of local complications and results in sustained periapical infection and inflammation. long term periapical infection delays definitive prosthetic management of the involved tooth. The condition of blunderbuss root canal can be associated with various factors that can render pulp tissue non-vital during apexogenesis. an immature tooth often presents as an endodontic challenge due to the need for meticulous precautions that are required during its management. in the presented case report, the overextended contents of the immature tooth were removed by periapical surgery and the contents within the root canal system were removed using an orthograde manner. The main canal was obturated with mineral trioxide aggregate. eight month follow-up showed complete healing clinically and the radiograph showed successful periapical healing (Dent. Med. Probl. 2014, 51, 3, 397–401).
Lethal toxicity of deltamethrin and histological changes in the vital organs of fingerlings of Labeo rohita

The investigation was carried out to find out the lethal concentration (LC50) and safe concentration for deltamethrin on fingerlings of Labeo rohita by acute toxicity test along with the observations on associated histological alterations in the vital organs upon sub lethal exposure. The static bioassay methodology was followed to find out the 24h, 48h, 72h and 96 h LC50 values for deltamethrin. 3 replications were taken for each treatment. The safe application factors for deltamethrin were 1. 00μg/l and presumable harmless concentration were 0.117 μg/l. Sub lethal studies were conducted by exposing the fishes to the 1/10th of the LC50 values for deltamethrin separately for a period of 30 days with provision of food, aeration and water replenishment. The histopathological alterations observed includes degenerated hepoto-pancreatic tissue, appearance of blood streak among hepatocytes, formation of blood cells among hepatocytes, swelling of the hepatocytes, diffused necrosis in liver. Histopathological changes observed in gill includes swollen branchial arch with accumulation of infiltrating cells, etc.
HGSF Working Paper Series #4 Food Provision in Schools in Low and Middle Income Countries: Developing an Evidenced Based Programme Framework

The fourth paper in the HGSF Working Paper Series titled, Food Provision in Schools in Low and Middle Income Countries: Developing an Evidenced Based Programme Framework explores some of the trade-offs associated with the different methods of food service provision in schools, in terms of costs, benefits and the associated demand for food to develop an evidence based rationale for school feeding programmes.
Introduction to Supervised Machine Learning February 4 , 2019 1 Classification and Regression Machine

Examples: • Classification: The US Postal Service (USPS) uses digit recognition, a machine learning technique, to read handwritten ZIP codes on envelopes. Many thousands or even millions of images of the digit ’0’ are provided, together with the label ’0’, and similarly for the other nine digits. These images are provided by the USPS, and someone painstakingly looks at each image and records a label for it in a file. The machine learning algorithm must identify some commonalities among all images of the same digit (these commonalities are the “pattern” in the data) so that if a previously unseen image shows up without a label, it can be automatically labeled without human intervention. The way the machine learning algorithm captures the “pattern” in practice is by computing a function that takes an image as input and produces the appropriate label as output. • Regression: YouTube may be interested in an automatic method to predict the median age of the viewers of each given video clip, so that it can target ads it shows with each video more specifically and cost-effectively. In this scenario, YouTube may collect data through surveys, perhaps by asking viewers to state their ages voluntarily when they access a new clip. Individual responses may not be very reliable, but if there are enough of them per video clip, the empirical median might be an accurate summary. The machine learning algorithm must identify some pattern that connects properties of each video to the median age of its viewers. Once that pattern is found, it can be used to predict median ages of viewers without including the annoying survey.
Filtering Spam Results Out of Search Queries

While modern search engines do a reasonable job organizing search results by relevance, the lack of a major shift in the underlying technology has allowed exploitation to occur. Spam results are becoming more frequent in some subset of queries, particularly those topics which are similar to the types of topics which are considered spam in email. It is hypothesized that using the same technique that is used to filter spam email can be used to filter spam search results. In addition, utilization of some of the unique characteristics of how spam search results are presented, and grouped, might provide additional classification opportunities.
Minimum Manhattan Networks an Experimental Approach

In this work we discuss the following network construction problem: Given a set P of n points in the plane, a Manhattan network of P is a set of axis-parallel line segments whose union contains a shortest rectilinear path between every pair of points in P . A minimum Manhattan network of P is a Manhattan network of minimum total length. Currently it is unknown whether it is possible to compute a minimum Manhattan network in polynomial time, though several constant-factor approximations have been proposed, with a 1.5-approximation as best known result so far. We present an algorithm that is based on solving an LP-relaxation of the problem, and then using a cutting-plane based optimization algorithm to get to an integral solution. The algorithm finds the optimum solution in several 100.000 random instances. We did not, however, succeed in proving that it always yields the optimum, nor that it always runs in polynomial time. Moreover we show that the minimum Manhattan network problem is not half-integral.
Ultrasonic Tomography Using Lamb Wave Propagation Parameters

Tomography refers to the cross-sectional imagining of an object from either transmission or reflection data collected by illuminating the object from different directions. In this work, an ultrasonic tomography system based on Lamb waves, developed in our laboratory, is presented. We discuss the inverse problem of tomography imaging using data collected from ultrasonic plate waves interacting with a discontinuity. Here the main focus is on improving the quality of tomography maps using two reconstruction techniques (backprojection and MART). Results of experiments for defect reconstruction on a thin plate are presented. It was found that MART can provide a better reconstruction image than the backprojection technique, with minimal distortion, of a two-step circular discontinuity embedded in an aluminum plate.
ignalling networks in focus hoGTPase signalling at epithelial tight junctions : Bridging the GAP etween polarity and cancer

The establishment and maintenance of epithelial polarity must be correctly controlled for normal development and homeostasis. Tight junctions (TJ) in vertebrates define apical and basolateral membrane domains in polarized epithelia via bi-directional, complex signalling pathways between TJ themselves and the cytoskeleton they are associated with. RhoGTPases are central to these processes and evidence suggests that their regulation is coordinated by interactions between GEFs and GAPs with junctional,
A Modified Preconditioning Framework for the Gauss-Jacobi Method Applied to Circuit Simulation

Simulation is a means of evaluating a hardware circuit and to verify design alternatives. It is an important phase of the design cycle. Mixed-signal simulation allows simulating a system with both digital and analog components. Such systems are becoming more and more commonplace. Digital components exhibit discrete behavior while analog components exhibit continuous behavior. It is in the best interests of the design community to have a fast mixed-signal simulator. The continuous time simulator, which is one part of the mixed-signal simulator deals with simulating the analog components. The input to a continuous time simulator is a system of Ordinary Differential Algebraic Equations (ODAEs). One of the steps in the simulation of a system of ODAEs is the linear system solution. Typically a direct numerical method like LU decomposition is used for a linear system solution. It has been shown that the Gauss-Jacobi method can offer a performance speed-up compared to the LU decomposition method. In this thesis we attempt to further speed-up the execution of Gauss-Jacobi solver by preconditioning the coefficient matrix. We then present several interesting results to see how exactly the preconditioning approach relates to the execution time of the Gauss-Jacobi method. To my loving family & dearest uncle Bhavani Prasad
Conducteur d'Artin d'une représentation de de Rham

Résumé. — Nous munissons l’anneau B+dR de Fontaine d’une filtration par « valuation de convergence ». Cette filtration est stable par l’action de GK = Gal(K/K) et sa restriction à K coïncide avec la filtration induite par la filtration de GK par les sous-groupes de ramification. Si V est une représentation de de Rham de GK , cette filtration induit une filtration croissante de DdR(V ) et on montre que, si V est potentiellement semi-stable, l’invariant numérique naturel associé à cette filtration coïncide avec le conducteur d’Artin de la représentation Dpst(V ) du groupe de Weil-Deligne de K.
AN ETHNOGRAPHY OF ORGANIZATIONAL CHANGE

A large state agency had been experiencing a variety of changes. The new head of the agency approached communication researchers about doing analyses of the effectiveness of communication in the agency. The researchers conducted two studies: a qualitative one to identify organizational and organizational communication themes, and a quantitative one to describe the relationships among and between factors. This paper is an analysis of the qualitative effort. There were two purposes of the study described here: (1) to describe cultural aspects of an organization experiencing change; and (2) to report what organizational members identified as communication strengths and weaknesses. The qualitative effort assisted the later quantitative study, and the paper will conclude with observations about the benefits of mixed designs. Contains 57 references. (RS) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ********************************************************************************
IT–IST at the SIGMORPHON 2019 Shared Task: Sparse Two-headed Models for Inflection

This paper presents the Instituto de Telecomunicações–Instituto Superior Técnico submission to Task 1 of the SIGMORPHON 2019 Shared Task. Our models combine sparse sequence-to-sequence models with a two-headed attention mechanism that learns separate attention distributions for the lemma and inflectional tags. Among submissions to Task 1, our models rank second and third. Despite the low data setting of the task (only 100 in-language training examples), they learn plausible inflection patterns and often concentrate all probability mass into a small set of hypotheses, making beam search exact.
A Mathematical Modelling Approach to Design Microstrip Patch Antenna with Optimal Performance

The design of microstrip patch antenna (MPA) demands reliable electro-magnetic interactions (EmI) to meet the antenna design requirement. The antenna array faces problem with adjustment of design parameters such as elements dimensions, shape, spacing etc. Under this scenario, mathematical approach required to be essential to design the systematic design of array. But, the realistic models of arrays are computationally expensive in providing accuracy. Thus provide low cost computation, various approaches based on meta-heuristics like particle swarm optimization, genetic algorithms are proven effective against handling of such issues of pattern synthesis i.e., existence of side lobes. But, meta-heuristics requires thousands of function to evaluate the antenna design. In this paper, accurate mathematical modelling approach is presented to design Micro strip Patch Antenna with Optimal Performance. The mathematical model (using MATLAB) includes optimization of side lobes, optimization of radiation as well as reflection responses. The performance analysis of the approach is performed by considering the radiation, reflection coefficients, operating frequency and minimization of side lobes. The simulation outcomes of the antenna design give the reduced computational cost at 10GHz micro strip patch antenna.