Miracle-dz/UniFAR-FTUs huggingface dataset:
Dietary isoflavones and gastric cancer: A brief review of current studies

Background: Although several in vitro and animal studies have suggested that isoflavones might exert inhibitory effects on gastric carcinogenesis, epidemiologic studies have reported inconclusive results in this field. The aim of this brief review was to investigate whether such an association exists among dietary isoflavones and gastric cancer incidence, prevention, and mortality in epidemiologic studies. Materials and Methods: We conducted a search of PubMed, Google Scholar, Cochrane, Science direct, and Iranian Scientific Databases including Scientific Information Database and IranMedex Database (up to November 2014) using common keywords for studies that focused on dietary isoflavones and gastric cancer risk. Results: A total of nine epidemiologic studies consisting of five case-controls, three prospective cohorts, and one ecologic study were included in this review. An inverse association between dietary isoflavones and gastric cancer was shown in only one case-control and one ecologic study. Conclusion: In summary, whether anticarcinogenic properties of isoflavones are established, research found no substantial correlation in this field. There are insufficient studies to draw any firm conclusions about the relationship between isoflavones intake and the risk of gastric cancer. Hence, further evidence from cohort and trial studies are needed.
Anosognosia for hemiplegia: The contributory role of right inferior frontal gyrus.

OBJECTIVE Awareness of motor functioning is most likely a complex process that requires integration of sensory-motor feedback to constantly update the system on the functioning of the limb during motor behavior. Using lesion mapping procedures and behavioral measures, the current study aimed to evaluate neural correlates of anosognosia for hemiplegia (AHP) in the acute stage (first 48 hr) of right hemisphere stroke. METHOD Thirty-five individuals with right hemisphere stroke who presented to an urban medical center within 24 hr of symptom onset were included in the study. All 35 individuals had hemiplegia, and 8 of these individuals exhibited AHP. RESULTS Fisher's exact test statistical map of lesion-deficit association (range is between-log(p) 4 to 11) found maximal value of 10.9 located in pars orbitalis (Brodmann's Area 47; BA). In this selected location, 6 out of 8 patients with AHP had tissue abnormality, whereas none of the unaffected subjects had tissue abnormality in BA 47. Right BA 44/45 was also found to be lesioned more frequently in individuals with AHP (75%) than without AHP (11%). CONCLUSIONS The current study findings provide preliminary support for unique involvement of the right inferior frontal gyrus (IFG), pars orbitalis (BA 47) in AHP. The current data suggest that frontal operculum may play a key role in awareness of limb functioning.
The effect of process parameters in fused deposition modelling on bonding degree and mechanical properties

The purpose of this paper is to study the effects of these major parameters, including layer thickness, deposition velocity and infill rate, on product’s mechanical properties and explore the quantitative relationship between these key parameters and tensile strength of the part. ,A VHX-1000 super-high magnification lens zoom three-dimensional (3D) microscope is utilized to observe the bonding degree between filaments. A temperature sensor is embedded into the platform to collect the temperature of the specimen under different parameters and the bilinear elastic-softening cohesive zone model is used to analyze the maximum stress that the part can withstand under different interface bonding states. ,The tensile strength is closely related to interface bonding state, which is determined by heat transition. The experimental results indicate that layer thickness plays the predominant role in affecting bonding strength, followed by deposition velocity and the effect of infill rate is the weakest. The numerical analysis results of the tensile strength predict models show a good coincidence with experimental data under the elastic and elastic-softened interface states, which demonstrates that the tensile strength model can predict the tensile strength exactly and also reveals the work mechanism of these parameters on tensile strength quantitatively. ,The paper establishes the quantitative relationship between main parameters including layer thickness, infill rate and deposition velocity and tensile strength for the first time. The numerically analyzed results of the tensile strength predict model show a good agreement with the experimental result, which demonstrates the effectiveness of this predict model. It also reveals the work mechanism of the parameters on tensile strength quantitatively for the first time.
Labor-Market Heterogeneity, Aggregation, and the Lucas Critique

This paper assesses biases in policy predictions due to the lack of invariance of "structural" parameters in representative-agent models. We simulate data under various fiscal policy regimes from a heterogeneous-agents economy with incomplete asset markets and indivisible labor supply. Imperfect aggregation manifests itself through preference shocks in the estimated representative-agent model. Preference and technology parameter estimates are not invariant with respect to policy changes. As a result, the bias in the representative-agent model's policy predictions is large compared to the length of predictive intervals that reflect parameter uncertainty.
Short-to-Medium-Range Order and Atomic Packing in Zr 48 Cu 36 Ag 8 Al 8 Bulk Metallic Glass

Due to its excellent glass-forming ability (GFA), the Zr48Cu36Al8Ag8 bulk metallic glass (BMG) is of great importance in glass transition investigations and new materials development. However, due to the lack of detailed structural information, the local structure and atomic packing of this alloy is still unknown. In this work, synchrotron measurement and reverse Monte Carlo simulation are performed on the atomic configuration of a Zr-based bulk metallic glass. The local structure is characterized in terms of bond pairs and Voronoi tessellation. It is found that there are mainly two types of bond pairs in the configuration, as the body-centered cubic (bcc)-type and icosahedral (ico)-type bond pairs. On the other hand, the main polyhedra in the configuration are icosahedra and the bcc structure. That is, the bcc-type bond pairs, together with the ico-type bond pairs, form the bcc polyhedra, introducing the distortion in bcc clusters in short range. However, in the medium range, the atoms formed linear or planar structures, other than the tridimensional clusters. That is, the medium-range order in glass is of 1D or 2D structure, suggesting the imperfect ordered packing feature.
LFG Generation by Grammar Specialization

This article describes an approach to Lexical-Functional Grammar (LFG) generation that is based on the fact that the set of strings that an LFG grammar relates to a particular acyclic f-structure is a context-free language. We present an algorithm that produces for an arbitrary LFG grammar and an arbitrary acyclic input f-structure a context-free grammar describing exactly the set of strings that the given LFG grammar associates with that f-structure. The individual sentences are then available through a standard context-free generator operating on that grammar. The context-free grammar is constructed by specializing the context-free backbone of the LFG grammar for the given f-structure and serves as a compact representation of all generation results that the LFG grammar assigns to the input. This approach extends to other grammatical formalisms with explicit context-free backbones, such as PATR, and also to formalisms that permit a context-free skeleton to be extracted from richer specifications. It provides a general mathematical framework for understanding and improving the operation of a family of chart-based generation algorithms.
The Effects of 16-Week Group Exercise Program on Physical Function and Mental Health of Elderly Korean Women in Long-Term Assisted Living Facility

Aims:The purpose of this study was to compare the effects of 16-week group exercise program on the physical function (ie, strength, flexibility, and balance) and mental health (ie, self-esteem and depression) of older elderlyl women (≥75 years old) compared with younger elderly women (<75 years old). Background:Exercise is crucial in maintaining older women's health and well-being. However, because most elders have at least one chronic disease, their physical function declines, so their dependence on others for instrumental daily living activities often increases. Older women typically have multiple barriers to participation in physical activities including higher disability rates. Method:Of the total of 40 older women (older than 65 years) enrolled, 21 were older elders and 16 were younger elders. Lower body strength (using 30-second chair test), flexibility (sit-and-reach test), and static balance (ability to balance on one leg with open and closed eyes) were assessed. Self-esteem (using Rosenberg's Self-esteem Questionnaire) and depressive symptoms (using Yesavage's Geriatric Depression Scale) were assessed. Two-way analysis of variance was used to examine the differences between the 2 age groups. Findings:The intervention program was effective in improving body strength, flexibility, static balance, and self-esteem, regardless of age. Furthermore, older elders receiving the intervention program demonstrated greater improvement in self-esteem than younger elders did, although there were intervention effects in both age groups. Conclusion:Elderly women can realize benefits from a group exercise program that can improve their functional ability and self-esteem, both important to cardiovascular health.
Treatment of dual diagnosis disorders

Purpose of review Treatment of dual diagnosis [co-occurrence of a substance use disorder (SUD) in patients with mental illness] poses several challenges for mental health professionals. This article seeks to review the recent advances in dual diagnosis treatment with respect to pharmacotherapy and psychosocial approaches. Recent findings Atypical antipsychotics are commonly used for comorbid schizophrenia and SUD. Whereas there is no difference between risperidone and olanzapine, clozapine appears to have a distinct advantage in reducing psychotic symptoms as well as substance abuse (including smoking). There is emerging evidence that quetiapine is beneficial in dually diagnosed patients, particularly using alcohol, cocaine and amphetamine. A combination of naltrexone and sertraline was found to be effective in patients with depressive disorder and alcohol dependence. Effectiveness of atomoxetine is yet to be established in patients with comorbid adult attention-deficit/hyperactivity disorder with respect to decrease in substance abuse. Integrated intervention is the choice of treatment for patients with dual diagnosis. Summary In spite of the high association between substance use and psychiatric disorders, there is a surprising paucity of studies related to treatment and outcome. A few well-designed studies have been recently published and more studies of this nature are required in order to address the challenges posed in the treatment of dual disorders.
Pore network model of primary freeze drying

The pore scale progression of the sublimation front during primary freeze drying depends on the local vapor transport and the local heat transfer as well. If the pore space is size distributed, vapor and heat transfer may spatially vary. Beyond that, the pore size distribution can substantially affect the physics of the transport mechanisms if they occur in a transitional regime. Exemplarily, if the critical mean free path is locally exceeded, the vapor transport regime passes from viscous flow to Knudsen diffusion. At the same time, the heat transfer is affected by the local ratio of pore space to the solid skeleton. The impact of the pore size distribution on the transitional vapor and heat transfer can be studied by pore scale models such as the pore network model. As a first approach, we present a pore network model with vapor transport in the transitional regime between Knudsen diffusion and viscous flow at constant temperature in the dry region. We demonstrate the impact of pore size distribution, temperature and pressure on the vapor transport regimes. Then we study on the example of a 2D square lattice, how the presence of micro and macro pores affects the macroscopic progression of the sublimation front. Keywords: pore size distribution; transitional vapor transport; pore network model; fractured sublimation front.
Wear Life Prediction of CrN Coating Layer on the Press Tool for Stamping the Ultra High Strength Steel Sheet

In this study, a wear test method was proposed to predict the wear life of the CrN layer coated on the surface of the press tools for manufacturing the auto-parts with ultra high strength steel (UHSS) with a tensile strength of 1.5 GPa. The pin-on-disc type wear test was carried out to confirm the feasibility and the reproducibility of the wear amount according to the test conditions such as the normal force, the sliding velocity, and the sliding speed. The test conditions were obtained from the finite element stamping analysis and the wear simulation. With the wear amount from the wear test, a prediction model of the wear depth in the CrN coating layer was proposed according to the test conditions with the design of experiments such as Taguchi method and the response surface method. The derived prediction model was then compared to the result of the Archard wear model, fully describing that the proposed model can effectively predict the wear life of the press tools for the auto-parts with UHSS.
Real-Time Implementation of Bi Input-Extended Kalman Filter-Based Estimator for Speed-Sensorless Control of Induction Motors

This paper presents the real-time implementation of a bi input-extended Kalman filter (EKF) (BI-EKF)-based estimator in order to overcome the simultaneous estimation problem of the variations in stator resistance Rs and rotor resistance Rr' aside from the load torque tL and all states required for the speed-sensorless control of induction motors (IMs) in the wide speed range. BI-EKF algorithm consists of a single EKF algorithm using consecutively two inputs based on two extended IM models developed for the simultaneous estimation of Rr' and Rs. Therefore, from the point of real-time implementation, it requires less memory than previous EKF-based studies exploiting two separate EKF algorithms for the same aim. By using the measured stator phase voltages and currents, the developed estimation algorithm is tested with real-time experiments under challenging variations of Rs , Rr', and tL in a wide speed range; the results obtained from BI-EKF reveal significant improvement in the all estimated states and parameters when compared with those of the single EKFs estimating only Rr' or Rs.
Predicting Protein-Protein Interactions Using BiGGER: Case Studies

The importance of understanding interactomes makes preeminent the study of protein interactions and protein complexes. Traditionally, protein interactions have been elucidated by experimental methods or, with lower impact, by simulation with protein docking algorithms. This article describes features and applications of the BiGGER docking algorithm, which stands at the interface of these two approaches. BiGGER is a user-friendly docking algorithm that was specifically designed to incorporate experimental data at different stages of the simulation, to either guide the search for correct structures or help evaluate the results, in order to combine the reliability of hard data with the convenience of simulations. Herein, the applications of BiGGER are described by illustrative applications divided in three Case Studies: (Case Study A) in which no specific contact data is available; (Case Study B) when different experimental data (e.g., site-directed mutagenesis, properties of the complex, NMR chemical shift perturbation mapping, electron tunneling) on one of the partners is available; and (Case Study C) when experimental data are available for both interacting surfaces, which are used during the search and/or evaluation stage of the docking. This algorithm has been extensively used, evidencing its usefulness in a wide range of different biological research fields.
Morphology of knee extension torque-time curves following anterior cruciate ligament injury and reconstruction.

BACKGROUND Mechanical instability, neurosensory deficits, and/or modified coactivation strategies following anterior cruciate ligament injury and surgery might compromise the ability of the knee extensors to exert a precise force during isokinetic knee extension with maximal effort. The purpose of this study was to examine the effects of an anterior cruciate ligament deficiency and reconstruction on knee extensor torque-time curve smoothness and to elucidate its association with hamstring (antagonist) activation and physical performance. METHODS Thirteen subjects who had a unilateral deficiency of the anterior cruciate ligament, twenty-five matched subjects with a unilateral reconstructed anterior cruciate ligament, and thirty-three control subjects performed knee extension and flexion repetitions bilaterally with maximal effort at 180 degrees/sec on a Cybex dynamometer. For the subjects with a deficient or a reconstructed anterior cruciate ligament, hamstring activation was measured electromyographically. Physical performance was measured by requiring subjects to perform single-limb timed hopping on the involved limb. RESULTS In the subjects with a reconstructed or a deficient anterior cruciate ligament, wavelet-derived mean instantaneous frequency of the extensor torque-time curves was significantly (p < 0.001) higher in the involved limb than in the noninvolved limb and the limbs of the control subjects. Furthermore, for the subjects with a reconstructed or deficient anterior cruciate ligament, the mean instantaneous frequency of the extensor torque-time curves was positively associated with the level of hamstring antagonist activity (r = 0.580, p < 0.001) and with hopping performance (b = -0.943, p = 0.019), whereas isokinetic peak torque was not (b = -0.001, p = 0.797). CONCLUSIONS For individuals who have a deficient or a reconstructed anterior cruciate ligament, an increased frequency content of the knee extensor torque is not, as previously and commonly assumed, a deleterious manifestation of the neuromuscular system. Rather, our results suggest that torque smoothness reduces as hamstring activation increases-a positive neuromuscular adaptation that enhances joint stability and, hence, optimizes physical performance. Wavelet-derived measures of extensor torque smoothness may provide valuable clinical information regarding joint function that conventional isokinetic torque measures cannot.
Caregiver perception of apathy in persons with mild cognitive impairment or Alzheimer's disease: a longitudinal study

ABSTRACT Objective: Discrepancy between self- and caregiver apathy ratings was examined longitudinally for persons with mild cognitive impairment or Alzheimer's disease. Particular focus was on the distinction between the positive and negative caregiver bias and its predictive value for a clinical diagnosis of apathy. Method: Apathy rating discrepancy was based on the apathy evaluation scale. Dyads were categorized depending on whether the caregiver reported fewer deficits (positive caregiver bias) or more deficits (negative caregiver bias) than the cognitively impaired person did. Results: Caregiver ratings and rating discrepancy showed a significant increase from baseline to follow-up. By contrast, self- and clinician ratings showed no change across the two time points. Ratings with a negative caregiver bias remained stable, while those with a positive caregiver bias showed a significant increase in the caregiver ratings but also a significant decrease in the self-ratings. A negative caregiver bias at baseline was significantly related to greater likelihood of having clinical apathy at follow-up, adjusted for an array of control variables. Conclusion: Positive and negative caregiver bias should be distinguished, as they seem to reflect distinct dyadic processes and are relevant for clinical outcome. Furthermore, negative rating discrepancies can be considered a risk factor for developing apathy.
Personal Area Networks: Near-Field Intrabody Communication

As electronic devices become smaller, lower in power requirements, and less expensive, we have begun to adorn our bodies with personal information and communication appliances. Such devices include cellular phones, personal digital assistants (PDAs), pocket video games, and pagers. Currently there is no method for these devices to share data. Networking these devices can reduce functional I/O redundancies and allow new conveniences and services. The concept of Personal Area Networks (PANs) is presented to demonstrate how electronic devices on and near the human body can exchange digital information by capacitively coupling picoamp currents through the body. A low-frequency carrier (less than 1 megahertz) is used so no energy is propagated, minimizing remote eavesdropping and interference by neighboring PANs. A prototype pan system allows users to exchange electronic business cards by shaking hands.
Token-Level Metaphor Detection using Neural Networks

Automatic metaphor detection usually relies on various features, incorporating e.g. selectional preference violations or concreteness ratings to detect metaphors in text. These features rely on background corpora, hand-coded rules or additional, manually created resources, all speciﬁc to the language the system is being used on. We present a novel approach to metaphor detection using a neural network in combination with word embeddings, a method that has already proven to yield promising results for other natural language processing tasks. We show that foregoing manual feature engineering by solely relying on word embeddings trained on large corpora produces comparable results to other systems, while removing the need for additional resources.
Current symptomatology in multiple sclerosis and neuromyelitis optica

Several symptoms and signs are characteristic of multiple sclerosis (MS) such as Lhermitte's sign, Uhthoff's phenomenon and painful tonic seizure. Neuromyelitis optica (NMO) is another inflammatory disease of the central nervous system, and most of the opticospinal form of MS is thought to be NMO. This study aimed to investigate the frequencies of symptoms and signs, previously regarded as characteristic of MS, in NMO and MS patients.
Fault Analysis of the Stream Cipher Snow 3G

Snow 3G is the backup encryption algorithm used in the mobile phone UMTS technology to ensure data confidentiality. Its design - a combiner with memory - is derived from the stream cipher Snow 2.0, with improvements against algebraic cryptanalysis and distinguishing attacks. No attack is known against Snow 3G today. In this paper, a fault attack against Snow 3G is proposed. Our attack recovers the secret key with only 22 fault injections.
The identification of important concepts in highly structured technical papers

Automatic abstracting, typically based on extraction of important sentences from a text, has been treated as a largely separate task from automatic indexing. This paper describes an approach in which the indexing and abstracting tasks are effectively combined. It is applicable to highly structured empirical research papers, whose content can be organised using a semantic frame. During a scan of a source text, stylistic clues and constructs are used for extracting candidate fillers for the various slots in the frame. Subsequently, an actual concept name is chosen for each slot by comparing the various candidates and their weights.