Miracle-dz/UniFAR-FTUs huggingface dataset:
Ieee Transactions on Information Forensics and Security Probabilistic Deformation Models for Challenging Periocular Image Verification

—The periocular region as a biometric trait has recently gained considerable traction, especially under challenging scenarios where reliable iris information is not available for human authenti-cation. In this paper, we consider the problem of one-to-one (1 : 1) matching of highly non-ideal periocular images captured in-the-wild under unconstrained imaging conditions. Such images exhibit considerable appearance variations including non-uniform illumination variations, motion and defocus blur, off-axis gaze, and non-stationary pattern deformations. To address these challenges, we propose Periocular Probabilistic Deformation Models (PPDMs) which, 1) reduce the image matching problem to matching local image regions, and 2) approximate the perioc-ular distortions by local patch level spatial translations whose relationships are modeled by a Gaussian Markov Random Field (GMRF). Given a periocular image pair, we determine the distortion-tolerant similarity metric by regularizing local match scores by the maximum a-posteriori probability (MAP) estimate of the relative local deformations between them. Unlike existing global periocular image matching techniques, by accounting for local image deformations in the periocular matching process PPDM exhibits greater tolerance to pattern variations. We demonstrate the effectiveness of our model via extensive evaluation on a large number of " in-the-wild " periocular images. We find that PPDMs outperform many benchmark 1 : 1 image matching techniques (improving verification rates at 0.1% false accept rate by ∼30% over previous work and ∼40% when compared to the best baseline) in challenging scenarios leading to state-of-the-art verification performance on multiple real-world periocular datasets.
Frequency and type of medication discrepancies in one tertiary care hospital.

BACKGROUND/OBJECTIVE Discrepancies in records used within the medication use system have been identified as a contributing factor of medication errors. The objective of this study was to determine the frequency and type of discrepancies in the medication use system in one tertiary care hospital. METHODS Using a sample of patients (convenience sampling technique), the physician's orders, the nursing medication administration record and the pharmacy profile were compared in an attempt to identify discrepancies among them. A discrepancy was defined as a deviation from the physician's order as written in the chart. Each discrepancy was categorized according to seven components of the medication order, its location in the medication use process and its mode of delivery. RESULTS One thousand, four hundred twenty-four orders representing 197 patients from 13 nursing units were sampled for this study. Thirteen percent of the orders were discrepant and 61% of patients had at least one discrepancy. The most frequent types of discrepancies were drug omissions and unordered drugs. DISCUSSION The discrepancies identified in this study suggest that either orders are not reaching pharmacy or orders are not being processed appropriately in pharmacy. The location of discrepancies also suggests that there are deficiencies in communication between healthcare professionals.
Learning Representations by Recirculation

We describe a new learning procedure for networks that contain groups of nonlinear units arranged in a closed loop. The aim of the learning is to discover codes that allow the activity vectors in a "visible" group to be represented by activity vectors in a "hidden" group. One way to test whether a code is an accurate representation is to try to reconstruct the visible vector from the hidden vector. The difference between the original and the reconstructed visible vectors is called the reconstruction error, and the learning procedure aims to minimize this error. The learning procedure has two passes. On the first pass, the original visible vector is passed around the loop, and on the second pass an average of the original vector and the reconstructed vector is passed around the loop. The learning procedure changes each weight by an amount proportional to the product of the "presynaptic" activity and the difference in the post-synaptic activity on the two passes. This procedure is much simpler to implement than methods like back-propagation. Simulations in simple networks show that it usually converges rapidly on a good set of codes, and analysis shows that in certain restricted cases it performs gradient descent in the squared reconstruction error.
Microstructure and Deformation of Coronary Stents from CoCr-Alloys with Different Designs

Coronary heart disease is still one of the most common sources for death in western industrial countries. Since 1986, a metal vessel scaffold (stent) has been inserted to prevent the vessel wall from collapsing. Most of these coronary stents are made from CrNiMosteel (316L). Due to its austenitic structure, the material shows a good combination of strength, ductility, corrosion resistance, and biocompatibility. However, this material has some disadvantages like its non-MRI compatibility and its poor fluoroscopic visibility. Other typically used materials are the CoBase alloys L-605 and F-562 which are MRI compatible as well as radiopaque. Another interesting fact is their excellent radial strength and therefore the ability to produce extra thin struts with increased strength. However, because of a strut diameter much less than 100 μm, the cross section consists of about 5 to 10 crystal grains (oligocrystalline). Thus, very few or even just one grain can be responsible for the success or failure of the whole stent. To investigate the relation between microstructure, mechanical factors and stent design, commercially available Cobalt-Chromium stents were investigated with focus on distinct inhomogeneous plastic deformation due to crimping and dilation. A characteristic, material related deformation behavior with predominantly primary slip was identified to be responsible for the special properties of CoCr stents.
PENGARUH TINGKAT KEMANDIRIAN KELUARGA TERHADAP KEMAMPUAN KELUARGA MERAWAT LANSIA DENGAN HIPERTENSI DI WILAYAH RW. 06 LEBDOSARI KALIBANTENG KULON SEMARANG

Keluarga adalah unit terkecil dari masyarakat yang terdiri dari kepala keluarga dan beberapa orang yang berkumpul dan tinggal di suatu tempat di bawah suatu atap dalam keadaan saling ketergantungan. Dalam proses keperawatan keluarga, keluarga dituntut untuk mandiri dalam merawat keluarga. Kriteria kemandirian keluarga berdasarkan tingkat kemandirian diantaranya: menerima petugas kesehatan, menerima pelayanan kesehatan sesuai rencana keperawatan keluarga, keluarga dapat mengungkapkan masalah kesehatan, memanfaatkan fasilitas pelayanan kesehatan, melakukan tindakan keperawatan sederhana, melakukan tindakan pencegahan secara aktif. Tujuan penelitian adalah untuk mengetahui pengaruh tingkat kemandirian keluarga terhadap kemampuan keluarga dengan lansia hipertensi di wilayah RW 06 Kalibanteng Kulon Semarang. Desain yang digunakan kuasi eksperimen one group pretest-posttest. Jumlah sampel sebanyak 40 keluarga yang memenuhi kriteria inklusi, dengan teknik purposive sampling. Uji statistik yang digunakan adalah Wilcoxon. Didapatkan p value 0,000 maka Ha dterima artinya ada pengaruh penkes kemandirian keluarga terhadap kemampuan keluarga merawat lansia hipertensi di RW 06 Lebdosari Kelurahan Kalibanteng Kulon Semarang Barat.
First report on: Acute toxicity and gill histopathology of fresh water fish Cyprinus carpio exposed to Zinc oxide (ZnO) nanoparticles

Nanotechnology is an advancing field of research which has revolutionized all industrial needs, such as medical, environmental and other industrial applications. Despite the rapid progress and early acceptance of nanotechnology, the potential for adverse health effects due to prolonged exposure at various concentration levels in humans and the environment has not yet been studied. With the widespread application of nanomaterials, numerous nanoscale products might consequently be released into aquatic environments and elicit an impact not only on one particular ecosystem but also on human health. The environmental impact of nanomaterials is expected to increase dramatically in near future. Zinc oxide (ZnO) nanoparticles have wide ranging applications in a diverse array of industrial and consumer products, ceramic manufacturing, paint formulation, sunscreen and hair care products. Toxicological studies indicate that ZnO nanoparticles have adverse impacts on human health and environmental species. Hence it is due process to characterize the health and safety aspects of ZnO nanoparticles to humans and environment. The present study has been conducted to develop first hand information on the acute toxicity (LC50) and gill histopathology of ZnO nanoparticles in fresh water fish, Cyprinus carpio. It was found that the 50% lethal concentration (LC50) of ZnO nanoparticle for C. carpio is 4.897 mg/L. Gill histopathological damage exposed to sub- lethal concentration of ZnO nanoparticles for 21 d are also discussed in this paper.
A Large Benchmark Dataset for Web Document Clustering

Targeting useful and relevant information on the WWW is a topical and highly complicated research area. A thriving research effort that feeds into this area is document clustering, which overlaps closely with areas usually known as text classification and text categorisation. A foundational aspect of such research (which has been proven over and over again in other research disciplines) is the use of standard datasets, against which different techniques can be properly benchmarked and assessed in comparison to each other. We note herein that, so far in this broad area of research, as many datasets have been used as research papers written, thus making it difficult to reason about the relative performance of different categorisation/clustering techniques used in different papers. In this paper we propose a standard dataset with a variety of properties suitable for a wide range of clustering and related experiments. We describe how the dataset was generated, and provide a pointer to it, and encourage its access and use. We also illustrate the use of part of the dataset by establishing benchmark results for simple k-means clustering, comparing the relative performance of k-means on a pair of ‘close’ categories and a pair of ‘distant’ categories. We naturally find that performance is better on the pair of ‘distant’ categories, however the experiments reveal that although stop-word removal is confirmed as helpful, word-stemming is, (perhaps counter to intuition), not necessarily always recommended on ‘distant’ categories.
Cardioprotective effect of calcineurin inhibition in an animal model of renal disease.

AIMS Chronic kidney disease is directly associated with cardiovascular complications. Heart remodelling, including fibrosis, hypertrophy, and decreased vascularization, is frequently present in renal diseases. Our objective was to investigate the impact of calcineurin inhibitors (CNI) on cardiac remodelling and function in a rat model of renal disease. METHODS AND RESULTS Male Sprague Dawley rats were divided into six groups: sham-operated rats, 5/6 nephrectomized rats (Nx) treated with vehicle, CNI (cyclosporine A 5.0 or 7.5, or tacrolimus 0.5 mg/kg/day) or hydralazine (20 mg/kg twice a day) for 14 days, starting on the day of surgery. Creatinine clearance was significantly lower and blood pressure significantly higher in Nx rats when compared with controls. Morphological and echocardiographic analyses revealed increased left ventricular hypertrophy and decreased number of capillaries in Nx rats. Treatment with CNI affected neither the renal function nor the blood pressure, but prevented the development of cardiac hypertrophy and improved vascularization. In addition, regional blood volume improved as confirmed by contrast agent-based echocardiography. Hydralazine treatment did not avoid heart remodelling in this model. Gene expression analysis verified a decrease in hypertrophic genes in the heart of CNI-treated rats, while pro-angiogenic and stem cell-related genes were upregulated. Moreover, mobilization of stem/progenitor cells was increased through manipulation of the CD26/SDF-1 system. CONCLUSION We conclude from our studies that CNI-treatment significantly prevented cardiac remodelling and improved heart function in Nx rats without affecting renal function and blood pressure. This sheds new light on possible therapeutic strategies for renal patients at high cardiovascular risk.
of Tumor Cell-dependent Platelet Aggregation Potential of Murine B 16 Melanoma Cell Line through Blocking-Trimethylsphingosine on Metastatic N , N , N Inhibitory Effect of Cell Membrane Signaling as Target in Cancer Therapy II : Updated

Two phenotypic parameters, aberrant expression of protein kinase C and tumor cell-induced platelet aggregation (PA), have been correlated with abnormal growth behavior and metastatic potential of tumor cells. We recently observed that A'. A'. A'-trimethylsphingosine (TIMS) and Â¿V. /Vdimethylsphingosine (DMS), but not sphingosine (SPN), had an inhibi tory effect (via blocking of transmembrane signaling) on the growth of various human tumor cell lines in vitro as Â»ellas in vivo in nu/nu mice (K. Endo et al. Cancer Res., 51: 1613-1618, 1991). We therefore investigated the effects of TMS, DMS, and SPN on (a) PA induced by ADP and thrombin; (b) PA induced by melanoma cell line B16/BL6; and (r )experimental lung colonization as well as spontaneous lung metastasis of BL6 cells in syngeneic C57BL/6 mice. In experiments on agonistinduced PA, TMS inhibited PA and ATP secretion 5-fold more strongly than DMS or SPN. This effect may be based on the inhibition of M, 47,000 platelet protein phosphorylation and/or inhibition of phosphatidylinositol turnover as a transmembrane signaling pathway in platelets. Tumor cell (BL6 melanoma)-induced PA and ATP secretion were also strongly inhibited by TMS, but not by DMS or SPN. Unlike ADPor thrombin-induced PA, HI 6 cell-induced PA was not inhibited by Calphostin-C (a potent protein kinase C inhibitor) or cilostazol (a potent inhibitor of PA based on inhibition of cyclic AMP phosphodiesterase). Since many previous studies suggested that the ability of tumor cells to induce PA is related to the degree of malignancy (e.g., metastatic poten tial) of tumor cells, we studied the effect of TMS on lung metastatic potential. Three independent sets of experiments, as described below, all showed clear inhibition of lung metastasis by administration of TMS: (a) i.v. coinjection of BL6 melanoma cells and TMS; (b) i.v. injection of TMS and, l h later, BL6 cells; (c) spontaneous metastasis to lung from s.c. HI 6 tumor (TMS administered after establishment of tumor, followed by resection of tumor). In comparison to tumor growth inhibition produced by TMS or DMS, inhibition of melanoma metastasis by TMS is obvious at lower doses.
Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis

This paper investigates whether leading indicators can help explain the cross-country incidence of the 2008-09 financial crisis. Rather than looking for indicators with specific relevance to the current crisis, the selection of variables is driven by an extensive review of more than eighty papers from the previous literature on early warning indicators. The review suggests that central bank reserves and past movements in the real exchange rate are the two leading indicators that have proven the most useful in explaining crisis incidence across different countries and crises in the past. For the 2008-09 crisis, we use six different variables to measure crisis incidence: drops in GDP and industrial production, currency depreciation, stock market performance, reserve losses, or participation in an IMF program. We find that the level of reserves in 2007 appears as a consistent and statistically significant leading indicator of the current crisis, in line with the conclusions of the earlier literature. In addition to reserves, recent real appreciation is a statistically significant predictor of devaluation and of a measure of exchange market pressure during the current crisis. That our data on the crisis period include the first quarter of 2009 may explain why we find stronger results than earlier papers such as Obstfeld, Shambaugh and Taylor (2009, 2010) and Rose and Spiegel (2009a,b).
Between containment, confinement and dispersal: the evolution of the Italian reception system before and after the ‘refugee crisis’

ABSTRACT In this article, I will analyse how the Italian reception system has been transformed after the ‘refugee crisis’, showing how the change cannot be reduced to a mere expansion of the reception capacity. I will do this by tracing a genealogy of the Italian reception system and highlighting its main features before and after the ‘refugee crisis’. My hypothesis is that the ‘refugee crisis’ and the sense of emergency it created has stimulated the emergence of distinct segments within the Italian reception system functioning according to radically different philosophies and objectives. This, in addition to increasing the overall lack of consistency of the system, is having a profound impact on the rights of asylum seekers, greatly increasing the risk of their spatial and social segregation within Italian society.
The Relationship between Cognitive Appraisal and Adherence to Medical Regimens in Type 2 Diabetic Patients.

INTRODUCTION Non-adherence to medical regimen has remained a challenge to the medical profession as well as to social sciences. To achieve positive results, the factors negatively impacting patient adherence to medical regimens (i.e., diet, drug and exercise regimen) must be scrutinized in detail. The objective of this research was to explore the relationship between cognitive appraisal and adherence to medical regimens in type 2 diabetic patients. METHODS In this correlational study, 218 type 2 diabetes patients receiving treatment at the Diabetes Clinic affiliated with Gonabad University of Medical Sciences were selected through non-probability (convenience) sampling from April 2012 to May 2013. Two valid and reliable questionnaires of cognitive appraisal and adherence to medical regimens were completed by each patient. The data were analyzed using SPSS ver 13. RESULTS A relationship was observed between perceived cognitive and adherence to some aspects of medical regimen. Also direct relationship was observedbetween perceived cognitive in form challenge and adherence of diet in patients with diabetes. There was no statistically significant relationship between aspects of cognitive appraisal and adherence to the drug regimen. CONCLUSION The results suggest that interventions undertaken to improve adherence to medical regimen, particularly to drug regimen in patients with type 2 diabetes, should be focused on enriching cognitive appraisal. Nurses need to help patients perceive diabetes as less of a threat and in fact should empower them, so as to look upon it as more of a challenge.
Computer simulation of three dimensional shearing of granular materials: Formation of shear bands

Department of Physics, University Duisburg-Essen, GermanyABSTRACT: We used computer simulations to study spontaneous strain localization in granular materi-als, as a result of symmetry breaking non-homogeneous deformations. Axisymmetric triaxial shear testswere simulated by means of standard three-dimensional Distinct Element Method (DEM) with spheri-cal grains. Carefully prepared dense specimens were compressed between two platens and, in order tomimic the experimental conditions, stress controlled, (initially) axisymmetric boundary conditions wereconstructed. Strain localization gave rise to visible shear bands, previously found experimentally undersimilar conditions by several groups, and diﬀerent morphologies could be reproduced. We examinedthe stress-strain relation during the process and found good agreement with experiments. Formationmechanism of shear bands is discussed.1 INTRODUCTIONSpontaneous symmetry breaking in granular mate-rials occurs in many diﬀerent forms. Here we focuson strain localization and subsequent developmentof shear bands. Shear bands appear nearly alwaysif dry granular material is subjected to shear. Itsﬁrst study dates back to the nineteenth centuryand since then it was investigated in many diﬀer-ent geometries and specially designed laboratorytests (e.g. plane strain, biaxial, and triaxial tests). Here we present numerical studies of axisymmetrictriaxial tests, the most common laboratory tests inGeomechanics.In a simpliﬁed picture, a triaxial test typicallyconsists of a cylindrical specimen enclosed betweentwo end platens and surrounded by a rubber mem-brane. An external pressure is applied on the mem-brane, either by placing the system into a pressur-ized ﬂuid, or creating a relative vacuum inside thesystem. The end platens are pressed against eachother in a controlled way, either with constant ve-locity (strain control) or with constant force (stresscontrol). The force resulting on the platens, or thedisplacement rate of the platens is recorded, as wellas the volume change of the specimen.The triaxial test is an elementary test, per-formed to obtain mechanical properties of soils.Antifriction devices (lubricated end platens) weredesigned in order to suppress strong heteroge-neous responses, such as barreling and local-ization of deformation along failure planes. Inthe past 20 years the study of localization pat-terns gained more attention and strain localiza-tion became an important research ﬁeld, as ex-perimental tools as Computed Tomography (CT)became available to study the internal struc-ture of strained specimens (Desrues et al. 1996;Batiste et al. 2004). Such studies revealed complexlocalization patterns and shear band morphologiesdepending on the test conditions.2 SIMULATION METHODWe used standard three-dimensional DistinctElement Method (Cundall & Strack 1979) (alsoknown as Molecular Dynamics) to perform sim-ulations of strain controlled triaxial shear tests.As an advantage, contrary to the Finite Ele-ment Method (FEM) commonly used in sim-
Implicit metric on a deformation of the Atiyah-Hitchin manifold

Using twistor methods we derive a generating function which leads to the hyperk\" ahler metric on a deformation of the Atiyah-Hitchin monopole moduli space. This deformation was first considered by Dancer through the quotient construction and is related to a charge two monopole configuration in a completely broken SU(3) gauge theory. The manifold and metric are the first members of a family of hyperk\" ahler manifolds which are deformations of the $D_k$ rational singularities of $C^2$.
QUANTIFICATION OF VARIANCE ERROR

This paper accurately quantifies the way in which noise induc e estimation errors are dependent on model structure, underlying system freque ncy r sponse, measurement noise and input excitation. This exposes several new principles. In particular, it is shown here that when employing Output–Error model structures in a predicti on-error framework, then the ensuing estimate variability in the frequency domain depen ds on the underlying system pole positions. As well, it is also established that the variabil ty s affected by the choice of model structure, in that it is twice as much when system poles are es timated as when they are a-priori known and fixed, even though the model order is the same in both cases. These results are unexpected according to pre-existing theory.