Miracle-dz/UniFAR-FTUs huggingface dataset:
Magnetic Logic Devices Based on Field-Coupled Nanomagnets

Nanomagnets that exhibit two distinct stable states of magnetization can be used to store digital bits. This phenomenon is already applied in today’s magnetic random access memories (MRAM). In addition, interacting networks of such nanomagnets, with physical spacing on the order of 10 nm between them, have been proposed to propagate and process binary information by means of magnetic coupling. The application of field-coupled nanomagnets for digital logic circuits was described in a concept called magnetic quantumdot cellular automata (MQCA) [1][2]. MQCA offer very low power dissipation and high integration density of functional devices. In addition, it can operate over a wide temperature range from near absolute zero to the Curie temperature of the employed ferromagnetic material. We introduce a logic gate similar to that proposed by Parish and Forshaw [3], which performs majority-logic operation. The nanomagnets are arranged in a cross-geometry as shown in Fig. 1, where the dipole coupling between the nanomagnets produces ferromagnetic and antiferromagnetic ordering of the magnetic states. Consider that the magnetic state of nanomagnets A, B, and C can be set by some inputs, and that a horizontal external magnetic field, called the clock-field, can allow the system to relax to its ground state. Then, majority logic operation can be performed by the central nanomagnet M, and the result can be transferred to another nanomagnet labeled as “out”. The cross-geometry can be extended, and inputs can be provided by adding nanomagnets that are oriented along the clock-field. Varying the position of these horizontally elongated nanomagnets, all eight input combinations in the majority-logic truth table can be tested. Figure 1. (a) An elongated polycrystalline NiFe alloy nanomagnet exhibits two stable magnetic states in the direction of its longest axis. (b) Majority gate geometry built up from nanomagnets. We demonstrate room temperature operation of majority gates made of NiFe alloy and fabricated by electron-beam lithography on silicon. Dipolar ordering in the nanomagnetnetworks is imaged by magnetic force microscopy (MFM), and the operation is explained by means of micromagnetic simulations. Figure 2 introduces a particular majority gate, in which the magnetic state of A is set to be the opposite to that of B and C. In this gate, A, B, and C all exert torque on the central dot’s magnetic moment in the same direction. Simulations show that, as the clock-field is reduced, the switching of the nanomagnets inside the gate begins at the input dots. The central dot switches after A, B, and C, and the switching propagates along the antiferromagnetically-coupled chain to the right. The figure demonstrates the final states after two independent experiments, in which the clock-field was applied in opposite directions. The MFM data shows the correct alignment of the magnetic moments in both cases.
Identification of the OGLE blazars behind the large and small magellanic clouds

We report the selection of blazar candidates behind the Large and Small Magellanic Clouds. Both flat spectrum radio quasar and BL Lacreate objects were selected based on the long-term, multi-colour Optical Gravitational Lensing Experiment photometric data. We cross-correlated the Magellanic Quasar Survey catalogue of spectroscopically confirmed quasars and quasar candidates located behind the Magellanic Clouds with the radio data at six frequencies from 0.8 to 20 GHz. Among the 1654 objects visible in optical range, we identified a sample of 44 newly selected blazar candidates, including 27 flat spectrum radio quasars and 17 BL Lacs. We examined selected objects with respect to their radio, optical, and mid-infrared properties.
Antioxidant activity of aqueous extract of Monascus fermented Indian variety of rice in high cholesterol diet fed-Streptozotocin diabetic rats, an in vivo study

The present study was designed to investigate antioxidant activity of aqueous extract of Monascus fermented Indian variety of rice in high cholesterol diet fed- streptozotocin (STZ) induced diabetic rats.The Indian variety rice IR-532-E-576 was fermented with Monascus purpureus for 10 days and sterilized. High cholesterol fed-STZ-induced diabetic rats received aqueous extract of Monascus fermented Indian variety of rice at the concentration of 1.2 g / Kg of bw and 2.4 g / Kg bw daily for 30 days. The oxidative parameters like lipid peroxidation (LPO), reduced glutathione (GSH), superoxide dismutase (SOD) and catalase activities were assessed.High cholesterol diet and STZ increased the level of LPO and reduced the level of SOD, GSH and catalase, where as on administration of aqueous extract of Monascus fermented Indian variety of rice reduced the level of LPO to almost normal and increased the levels of GSH, SOD and catalase dose dependently.The present study concluded that consumption of Monascus fermented rice can be good dietary supplement for diabetes and hyperlipidemia.
Latent Autoimmune Diabetes in Adults Complicated by Persistent Isolated Glucosuria in the Absence of Hyperglycemia

Latent autoimmune diabetes in adults (LADA) is an autoimmune diabetes of adult-onset with the presence of diabetes associated autoantibodies. Familial renal glucosuria (FRG) is an inherited renal tubular disorder that causes persistent isolated glucosuria in the absence of hyperglycemia. We report a novel case of LADA and certain FRG. A 44-year-old man was admitted to our hospital for uncontrolled diabetes. Before admission, he had never suffered from diabetic coma and showed an improvement in HbA1c only with diet therapy. His HbA1c was 11.9% (107 mmol/mol), and anti-glutamic acid decarboxylase antibody was 13.0 U/mL. A glucagon stimulation test showed the decrease of insulin secretion: plasma C-peptide (CPR) 0 min, 0.69 ng/mL; CPR 6 min, 0.90 ng/mL. Analysis of genomic DNA revealed a novel heterozygous mutation in the SGLT2 coding gene, SLC5A2 (c.875G >A, p.Cys292Tyr), which was assessed as probably damaging with a score of 0.998 (sensitivity: 0.27; specificity: 0.99) by an in silico analysis. Therefore, he was diagnosed with LADA and certain FRG. He has not shown any symptoms and his HbA1c improved to 6.4% (46 mmol/mol) three months after the introduction of insulin therapy. Our case clearly implies the clinical effectiveness of SGLT2 inhibition in patients with LADA.
Addressing Mobility in RPL With Position Assisted Metrics

Mobility is still an open challenge in wireless sensor networks (WSNs). Energy efficient routing strategies designed for static WSNs, such as routing protocol for low-power and lossy networks (RPL), generally have a slow response to topology changes. Moreover, their high signalling cost to keep up-to-date routes in the presence of mobile nodes makes them inefficient in these scenarios. In this paper, we introduce Kalman positioning RPL (KP-RPL), a novel routing strategy for WSNs with both static and mobile nodes, based on RPL. The objective of KP-RPL is to provide robust and reliable routing, considering the positioning inaccuracies and node disconnections that arise in real-life WSNs. This considers the original RPL for the communication among static nodes and position-based routing for mobile nodes, which use a novel RPL metric that combines Kalman positioning and blacklisting. The simulation results show that the reliability and the robustness of the network in harsh conditions are enhanced compared with geographical routing. Moreover, KP-RPL reduces the density and the number of simultaneously active anchor nodes for positioning. As a result, the infrastructure cost is lower, and the network lifetime is extended.
Thermal Transport in Soft PAAm Hydrogels

As the interface between human and machine becomes blurred, hydrogel incorporated electronics and devices have emerged to be a new class of flexible/stretchable electronic and ionic devices due to their extraordinary properties, such as softness, mechanically robustness, and biocompatibility. However, heat dissipation in these devices could be a critical issue and remains unexplored. Here, we report the experimental measurements and equilibrium molecular dynamics simulations of thermal conduction in polyacrylamide (PAAm) hydrogels. The thermal conductivity of PAAm hydrogels can be modulated by both the effective crosslinking density and water content in hydrogels. The effective crosslinking density dependent thermal conductivity in hydrogels varies from 0.33 to 0.51 Wm−1K−1, giving a 54% enhancement. We attribute the crosslinking effect to the competition between the increased conduction pathways and the enhanced phonon scattering effect. Moreover, water content can act as filler in polymers which leads to nearly 40% enhancement in thermal conductivity in PAAm hydrogels with water content vary from 23 to 88 wt %. Furthermore, we find the thermal conductivity of PAAm hydrogel is insensitive to temperature in the range of 25–40 °C. Our study offers fundamental understanding of thermal transport in soft materials and provides design guidance for hydrogel-based devices.
12-17-2015 Finding Function in the Unknown

Through high-throughput RNA sequencing (RNAseq), transcriptomes for a single cell, tissue, or organism(s) can be ascertained at a high resolution. While a number of bioinformatic tools have been developed for transcriptome analyses, significant challenges exist for studies of non-model organisms. Without a reference sequence available, raw reads must first be assembled de novo followed by the tedious task of BLAST searches and data mining for functional information. We have created a pipeline, PyRanger, to automate this process. The pipeline includes functionality to assess a single transcriptome and also facilitate comparative transcriptomic studies. Keywords—de novo transcriptomics, RNA-seq, comparative gene expression
Estimation of energy losses in a Wind Park

The study of energy losses in any electric installation is closely related to energy efficiency. Its calculation depends on the number and the quality of the available electrical measurements. Typically, every wind park has electrical measurements in all its wind turbines and its HV point of connection. However, it is difficult to calculate in an easy way these losses due to problems like redundancy, inaccuracy, lack of data, etc. A state estimation (SE) method will be proposed in this article, in order to calculate the power losses. By means of available measurements (power, voltage, current.) and parameters of the network (cables, transformers.), the losses taking place in each element can be obtained. SE also allows detecting errors in measurement and calculating the wind park state when certain measurement equipments are unavailable. Wind speed measurements are used to get pseudo-measurement if necessary and to filter errors. Finally, an economic study will be done taking into account the different ways of selling wind energy in the Spanish network. Consequently, the economic importance of losses will be evaluated too. The location of this project is The Sotavento Wind Park, Serra da Loba, Spain. The results shown throughout this article have been applied there with the aim of analysing its energy efficiency.
Temel Sayı Yeterliklerindeki Eksiklikler İlköğretim Öğrencilerinde Düşük Matematik Başarısına Neden Olabilir

There are two hypotheses about why individuals have mathematics learning difficulties (MLD). The core deficit hypothesis claims that disorders in number module which was designated for processing quantities either at approximate or exact levels cause learning difficulties in mathematics. The access deficit hypothesis on the other hand posits that the reason behind MLD is not deficits in processing quantities but deficits in connecting quantities to symbols or vice versa. To test these two hypotheses, we designed dot enumeration, symbolic number comparison, and mental number line tasks. Participants were 487 students from 1st to 4th grades selected from 12 different schools in a mid-Anatolian, large metropolitan city in Turkey. Students were given a curriculum based arithmetic achievement test and they were divided into four groups as MLD risk, low achieving, typical achieving, and high achieving based on the achievement test scores. Results showed that there were large significant differences both among groups and grades. The largest difference was observed in canonic dot counting tasks from first through fourth grade. While Arabic number comparison tasks were important at first and second grade, MNL tasks became more important at the third and fourth grade. We conclude that the results provided evidence for both core deficit hypothesis and access deficit hypothesis. Numerical efficiency changes very little from first to fourth grade. Future research should consider testing for unique contributions of exact and approximate number systems and access to symbols as well as mapping their neural correlates.
Detection of a monoclonal antibody therapy (ofatumumab) by serum protein and immunofixation electrophoresis

care admissions, statins have demonstrated anti-leukaemic effects in vitro (Sassano et al, 2007) and reduction in the incidence of graft-versus-host disease (GVHD) in patients. In the latter case, the benefits of statins were restricted to donor statin administration, while recipient statin treatment affected successful graft-versus-tumour effect (Rotta et al, 2010). Further studies are warranted to determine whether the antiinflammatory and antithrombotic properties of statins are beneficial in a patient who has developed severe acute GVHD and not limited to prevention. In summary, the management of septic haematology patients may benefit from the use of BPW among other parameters and statins may be considered in such patients in selected situations, bearing in mind their adverse risk profile of abnormal liver function tests and myositis.
Effects of oral vitamin C supplement on the serum lipid profile

Purpose: Ascorbic acid has protective effects against coronary heart disease. These effects are attributed to its antioxidant properties and its relation to plasma lipids. This study investigated the effects of supplementing one gram of vitamin C per day on the serum serum lipoproteins of healthy 18 to 55 years old individuals in Iran. Materials and Methods: This study was conducted on 55 healthy individuals aged 18 to 55 years old at a medical center of Iran’s Army. None of the participants had taken vitamin supplements three months before participating in the study. Their diet patterns were evaluated by estimating the energy and nutrients intake. At the beginning of the study, serum triglyceride, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and total cholesterol levels of the participants were measured. Then, the participants received one gram of vitamin C on a daily basis for 30 days. Blood parameters were measured on the 15 th and 30 th days of supplementation and were compared with each other. The findings were analyzed with Student’s t-test and analysis of variance (ANOVA) test using Statistical Package for Social Sciences (SPSS) software version 18. Results: After receiving vitamin C supplement for 30 days, a significant reduction was seen in the participants’ total cholesterol level (12.2%) and average plasma triglyceride concentration level (8.09%). HDL cholesterol level significantly increased (14.5%) after one month of vitamin C supplementation (P =.032). Conclusion: Taking one gram of vitamin C daily may significantly reduce serum lipoprotein levels in healthy individuals.
Comparative study and storage stability of serum hepatobiliary enzyme activities in Murrah buffaloes.

The present study was designed and conducted to fi nd the appropriate physical baseline values for hepatobiliary enzymes such as, alanine aminotransferases (ALT), aspartate aminotransferases (AST), alkaline phosphatase (ALP) and gamma glutamyltransferases (GGT) in adult healthy Murrah buffaloes in hot humid climatic conditions and also to assess the ideal storage condition for buffalo sera samples meant for the assay of hepatobiliary enzymes by storing at room temperature (22 to 27oC), 4oC and -20oC up to 14 days. The normal mean serum activities of ALT, AST, ALP and GGT were 50.0 ± 3.53, 130.0 ± 7.29, 323.6 ± 32.09 and 10.11 ± 1.28 IU/L, respectively. ALT and GGT were found to be suffi ciently stable up to the study period of 14 days at both 4oC and -20oC but unstable at room temperature. AST was found to be stable for 11 days at 4oC and 8 days at room temperature and was stable only 2 days at -20oC. Alkaline phosphatase showed great variation upon storage as compared to the other hepatobiliary enzymes and it is suggested that its estimation should be performed in fresh serum samples to get a more accurate result. Thus, the present study reveals specifi c reference values for each serum hepatobiliary enzyme in Murrah buffaloes of the hot humid tropics. From these results it is also advisable to consider stability of each serum hepatobiliary enzymes for different animals separately before preserving sera samples to get more valid and reliable results.
Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model

In many robotic applications, an autonomous agent must act within and explore a partially observed environment that is unobserved by its human teammate. We consider such a setting in which the agent can, while acting, transmit declarative information to the human that helps them understand aspects of this unseen environment. Naturally, the human will have preferences about what information they are given. This work adopts an information-theoretic view of the human's preferences: the human scores information based on the induced change in weighted entropy of their belief about the environment state. We formulate this setting as a belief MDP and give an algorithm for solving it approximately. Then, we give an algorithm that allows the agent to learn the human's preferences online. We validate our approach experimentally in simulated discrete and continuous partially observed search-and-recover domains.
MSH 3 rs 26279 polymorphism increases cancer risk : a meta-analysis

Previous studies have investigated the association of mutS homolog 3 (MSH3) rs26279 G > A polymorphism with the risk of different types of cancers including colorectal cancer, breast cancer, prostate cancer, bladder cancer, thyroid cancer, ovarian cancer and oesophageal cancer. However, its association with cancer remains conflicting. We performed a comprehensive meta-analysis to derive a more precise estimation of the relationship between MSH3 rs26279 G > A polymorphism and cancer susceptibility. Systematically searching the PubMed and EMBASE databases yielded 11 publications with 12 studies of 3282 cases and 6476 controls. The strength of the association was determined by crude odds ratios (OR) and 95% confidence intervals (CI). Overall, pooled risk estimates demonstrated that MSH3 rs26279 G > A was significantly associated with an increased overall cancer risk under all the genetic models (GG vs. AA: OR = 1.27, 95% CI = 1.09-1.48, P = 0.002; AG vs. AA: OR = 1.10, 95% CI = 1.00-1.21, P = 0.045; GG vs. AG + AA: OR = 1.23, 95% CI = 1.06-1.42, P = 0.005; AG + GG vs. AA: OR = 1.13, 95% CI = 1.04-1.24, P = 0.006; G vs. A: OR = 1.13, 95% CI = 1.05-1.20, P = 0.001). The association was more evident for colorectal cancer and breast cancer. Moreover, the significant association was also observed in the following subgroups: Europeans, Asians, population-based studies, hospital-based studies, and studies comprising relatively large sample size (≥ 200). Our meta-analysis results demonstrated that MSH3 rs26279 G > A polymorphism is associated with an increased risk of overall cancer, especially for the colorectal cancer and breast cancer.
Metabolic diversification in human retinal pigment epithelium cells induced by hyperglycemic and hypoxic conditions

Diabetic retinopathy is the leading cause of visual loss in individuals under the age of 55. Most investigations into the pathogenesis of diabetic retinopathy have been concentrated on the neural retina since this is where clinical lesions are manifested. Recently, however, various abnormalities in the structural and secretory functions of retinal pigment epithelium that are essential for neuroretina survival, have been found in diabetic retinopathy. In this context, here we study the effect of hyperglycemic and hypoxic conditions on the metabolism of a human retinal pigment epithelial cell line (ARPE-19) by integrating quantitative proteomics using tandem mass tagging (TMT), untargeted metabolomics using MS and NMR, and 13C-glucose isotopic labeling for metabolic tracking. We observed a remarkable metabolic diversification under our simulated in vitro hyperglycemic conditions of diabetes, characterized increased flux through polyol pathways and inhibition of the Krebs cycle and oxidative phosphorylation. Importantly, under low oxygen supply RPE cells seem to consume rapidly glycogen storages and stimulate anaerobic glycolysis. Our results therefore pave the way to future scenarios involving new therapeutic strategies addressed to modulating RPE metabolic impairment, with the aim of regulating structural and secretory alterations of RPE. Finally, this study shows the importance of tackling biomedical problems by integrating metabolomic and proteomics results.
Absorption efficiency of receiving antennas

A receiving antenna with a matched load will always scatter some power. This paper sets an upper and a lower bound on the absorption efficiency (absorbed power over sum of absorbed and scattered powers), which lies between 0 and 100% depending on the directivities of the antenna and scatter patterns. It can approach 100% as closely as desired, although in practice this may not be an attractive solution. An example with a small endfire array of dipoles shows an efficiency of 93%. Several examples of small conical horn antennas are also given, and they all have absorption efficiencies less than 50%.
REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS

Abstract. UAVs are becoming an important tool for field monitoring and precision farming. A prerequisite for observing and analyzing fields is the ability to identify crops and weeds from image data. In this paper, we address the problem of detecting the sugar beet plants and weeds in the field based solely on image data. We propose a system that combines vegetation detection and deep learning to obtain a high-quality classification of the vegetation in the field into value crops and weeds. We implemented and thoroughly evaluated our system on image data collected from different sugar beet fields and illustrate that our approach allows for accurately identifying the weeds on the field.
A Hybrid Approach for Twitter Sentiment Analysis

This paper introduces an approach for automatically classifying the sentiment of Twitter messages. These messages are classified as either positive or negative. This is useful for consumers who want to extract the sentiment of product before purchase, or companies that want to monitor the public sentiment of their brand. In this paper, a three stage hierarchical model is proposed for sentiment extraction, first labeling with emoticons is done, then tweets are labeled using pre-defined lists of words with strong positive or negative sentiments and finally tokens are weighted based on subjectivity lexicon and proposed probability based method. Further, various cascading and hybrid methods are proposed based on subjectivity lexicon and Probability based method. In addition to this, effect of discourse relations is also investigated at the pre-processing step. Experimental results show the effectiveness of the proposed hybrid approach for sentiment classification of tweets.