Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender differences in presentation of chronic major depression.

The authors examine gender differences in presentation of illness in 96 males and 198 females with DSM-III-R chronic major depression (i.e., major depression of at least 2 years' duration). Women were found to have increased severity of illness as measured by Hamilton Rating Scale for Depression (HAM-D), Beck Depression Inventory (BDI), and Clinical Global impressions (CGI) scores. Symptom comparisons revealed that women experience more psychomotor retardation than men. Women reported increased functional impairment on the Social Adjustment Scale-Self-Report (SAS-SR), particularly in the areas of marital and family adjustment. Men were more likely to have a history of alcohol and substance abuse/dependence. These findings represent the first systematic study of gender differences in a chronic depressive population.
Deep Convolutional Neural Networks for facial expression recognition

Facial expression recognition is a very active research topic due to its potential applications in the many fields such as human-robot interaction, human-machine interfaces, driving safety, and health-care. Despite of the significant improvements, facial expression recognition is still a challenging problem that wait for more and more accurate algorithms. This article presents a new model that is capable of recognizing facial expression by using deep Convolutional Neural Network (CNN). The CNN model is generated by using Caffe in Digits environment. Moreover, it is trained and tested on NVIDIA Tegra TX1 embedded development platform including a 250 Graphics Processing Unit (GPU) CUDA cores and Quadcore ARM Cortex A57 processor. The proposed model is applied to address the facial expression problem on the publicly available two expression databases, the JAFFE database and the Cohn-Kanade database.
Robust speed controller for a PMSM drive

A robust speed controller based on mixed sensitivity is presented to improve the speed control performance of the PMSM servo system. Selecting suitable state variables and choosing appropriate weighting functions, the state equation of the system is built and the vibration of system is quantitatively described. Then the robust control problem comes down to the solution of Riccati Equation. Changing the parameter of the weighting functions can get the desired parameters of the robust controller. Simulation results demonstrate that compared with conventional PI control, the robust controller can reduce the speed ripple and has good attenuation to disturbance of load impact. Simulation results also show that there is a trade-off between the dynamic performance and the robustness. There should be a comprise between rise time, overshot of speed response and robustness to inertia.
Genetic and Environmental Risks for High Blood Pressure Among African American Mothers and Daughters

Objective: To determine the relationship between genetic and environmental lifestyle factors (physical activity and sodium) on blood pressure (BP) among African-American women. Method: In this cross-sectional study involving 108 African-American mothers and daughters from a Midwestern area, investigators obtained BP measurements, information on minutes of physical activity, amount of sodium intake, and buccal swab saliva samples. Results: Of the 4 single nucleotide polymorphisms (SNPs) on the sodium bicarbonate cotransporter gene (SLC4A5), rs8179526 had a statistically significant interaction with cytosine/thymine (C/T) genotype by sodium status on systolic BP (SBP; p = .0077). For gene × physical activity interaction, 2 significant interactions (cytosine/adenine [C/A] genotype by physical activity and adenine/adenine [A/A] genotype by physical activity, p = .0107 and p = .0171, respectively) on SBP and 1 on diastolic BP (DBP; A/A genotype by physical activity, p = .0233) were found on rs1017783. Two significant guanine/adenine [G/A] genotype by physical activity interactions were found on rs6731545 for SBP and DBP (p = .0160 and p = .0492, respectively). Discussion: A gene × environmental interaction with rs8179526 has a protective effect on SBP in African-American women with high sodium intake. Participants with C/T genotype of rs8179526 who consumed greater than 2,300 mg of sodium had lower SBP than those who consumed less than recommended. Women with thymine/thymine (T/T) genotype of rs8179526 who consumed greater than 2,300 mg had lower SBP than those who consumed less. Awareness of both the protective and deleterious properties of rs8179526 in African-American women may one day assist in determining appropriate treatment plans.
AIT-082, a cognitive enhancer, is transported into brain by a nonsaturable influx mechanism and out of brain by a saturable efflux mechanism.

A fundamental feature of any drug designed to treat a disease of the central nervous system is the ability to cross the blood-brain barrier. Passage across the blood-brain barrier of AIT-082, a cognitive enhancer, was investigated in mice. [(14)C]AIT-082 crossed the blood-brain barrier in young male Swiss-Webster mice with a mean influx constant (K(i)) of 0.6 +/- 0.2 microl g(-1) min(-1). Furthermore, [(14)C]AIT-082 was transported into brain of both young and old male C57BL/6 mice with a K(i) of 0.35 +/- 0.06 and 0.33 +/- 0.02 microl g(-1) min(-1), respectively. There was no significant effect of age or strain on the movement of [(14)C]AIT-082 across the blood-brain barrier in mice. When 110- or 650-fold excess unlabeled AIT-082 was included in the injection solution, the K(i) was not significantly changed in either Swiss-Webster or C57BL/6 mice. This indicated that [(14)C]AIT-082 crossed the blood-brain barrier by a nonsaturable mechanism. The passage of AIT-082 into brain extracellular fluid was confirmed with capillary depletion and microdialysis. The efflux of [(14)C]AIT-082 from brain also was examined. After i.c. v. injection, [(14)C]AIT-082 levels in brain decreased over time with a t(1/2) of 20.0 +/- 1.0 min. Excess unlabeled AIT-082 (600-fold) increased the t(1/2) to 35.5 +/- 3.6 min. Together, these data indicate that AIT-082 moves into brain via a nonsaturable mechanism and is actively transported out of brain.
Using a Cross-Institutional Collaborative Model to Deliver a National Roundtable Conference on Assessment: A Case Study

This paper describes the organisation, preparation and delivery of a major project, namely, a national roundtable conference on assessment, in the context of a wider project involving the development and application of a model of collaboration between tertiary institutions based on a distributive leadership framework. It analyses feedback received from round table participants and comments on both the utility and the limitations of the adopted model for the purpose of the round table project.
Effects of monensin on ruminal fluid viscosity, pH, volatile fatty acids and ammonia levels, and microbial activity and population in healthy and bloated feedlot steers.

Zusammenfassung Der Einflus von Monensin auf die Viskositat der Pansenflussigkeit, den Pansen — pH, die Konzentration von fluchtigen Fcttsauren und Ammoniak, die mikrobielle Besiedlung und Aktivitat von blahsuchtigen und gesunden Mastrindern Der Zusatz von 40 ppm Monensin zum Futter fuhrte bei blahsuchtigen Mastrindern zur Erhohung des Futterverzehrs und der Gewichtszunahme. Ferner wircl bei Monensin-Zu-lage die Viskositat der Pansenflussigkeit erniedngt. Es wurde kein Einflus auf den pH-Wert in der Pansenflussigkeit und bei der in vitro-Gasproduktionsgeschwmdigkeit beob-achtet. Ferner wird die Propionsaure-Konzentration erhoht und die Konzentration an Es-sigsaure und Ammoniak herabgesetzt. Die gesamte Anzahl an Ciliaten wird vermindert ohne Veranderung in der Zusammensetzung Ciliaten-Population. Die Anzahl an gramne-gativen kleinen Kokken und Stabchen veranderte sich in der gewunschten Weise. Im Vergleich zu den blahsuchtigen Tieren zeigten gesunde Mastrinder eine geringere Viskositat des Pansensaftes, ein niedrigeres Propionat: Acetat-Verhaltnis und eine niedri-gere NH3-Konzentration. Es wurden grose Unterschiede in der Mikrobenpopulation von gesunden und blahsuchtigen Rindern festgestelk.
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning

In this article, we describe the system that we used for the memotion analysis challenge, which is Task 8 of SemEval-2020. This challenge had three subtasks where affect based sentiment classification of the memes was required along with intensities. The system we proposed combines the three tasks into a single one by representing it as multi-label hierarchical classification problem.Here,Multi-Task learning or Joint learning Procedure is used to train our model.We have used dual channels to extract text and image based features from separate Deep Neural Network Backbone and aggregate them to create task specific features. These task specific aggregated feature vectors ware then passed on to smaller networks with dense layers, each one assigned for predicting one type of fine grain sentiment label. Our Proposed method show the superiority of this system in few tasks to other best models from the challenge.
Mealtime Behaviors of Young Children: A Comparison of Normative and Clinical Data

The objective of this study was to compare the behavior of healthy young children around feeding and mealtimes to the behavior of two clinical groups, children referred for feeding problems without related medical issues and those with medical issues associated with the feeding problems. Using the Behavioral Pediatrics Feeding Assessment Scale, data were obtained for 96 healthy children between the ages of 9 months and 7 years, and descriptive information is presented in the paper on these normal mealtime behaviors. In comparing this normative data to similar data obtained from the clinical groups, our primary purpose was to investigate whether children with feeding problems engage in fundamentally different behaviors (maladaptive) or similar behaviors, but at an increased frequency to normal children. Factor analysis identified five common patterns of behavior across the three groups. The difference in parental report of feeding difficulties between healthy and clinical groups appears to reflect the frequency in which the child with feeding difficulties engages in the problematic behavior, rather than fundamental differences in behaviors exhibited during mealtimes.
Optimization of wide-bandwidth hard disk drive actuator design using statistical methods

As track density of hard disk drives is intensified, actuator dynamics has emerged as one of the most important design factors not only for high-performance models but also desktop applications. In spite of many different complex physical considerations required for successful wide-bandwidth actuator designs, most current design processes that rely purely upon designer's experience-based historical approaches do not effectively account all factors to determine optimum design. A development of design optimization procedure for a high-performance actuator is presented in this paper. A position error signal (PES) estimator employing both numerical model and experimental data is developed for effective and accurate optimization process. Statistically formulated optimization method presented here delivers not only wide-bandwidth actuator design for PES reduction but higher shockproof HDA design. Furthermore the presented method incorporates volume production parameters so that designers are able to predict design tolerance and cost relations.
Crossing Boundaries: Revisiting the Thresholds of Vernacular Architecture

Abstract This paper discusses and questions the boundaries of vernacular architecture as conceived, interpreted and reinterpreted since the late eighteenth century. The activities and boundaries of the Vernacular Architecture Group are considered in the context of work in other fields also concerned with architecture and the vernacular. The paper argues for a broad understanding of vernacular architecture as an inclusive social study that is not necessarily restricted by boundaries of time and place.
Gelatin Zymography and Substrate Cleavage Assays of Matrix Metalloproteinase-2 in Breast Carcinoma Cells Overexpressing Membrane Type-1 Matrix Metalloproteinase

Gelatin zymography is the common method for examining matrix metalloproteinase-2 (MMP-2) in cells and media samples. Activation of the latent MMP-2 zymogen involves its binding to the cell surface MT1-MMP•TIMP-2 (membrane type-1 matrix metalloproteinase/tissue inhibitor of matrix metalloproteinase-2) complex with subsequent cleavage of proMMP-2 by TIMP-2–free adjacent MT1-MMP. This is followed by autolytic maturation of the activation intermediate and the release of the mature MMP-2 species from cell surfaces into the extracellular milieu. To observe the MMP-2 activation pathway in more detail, proMMP-2–deficient MCF7 breast carcinoma cells expressing MT1-MMP were incubated with excess proMMP-2 to saturate the available MT1-MMP•TIMP-2 surface receptors. After removal of the unbound material, the kinetics of proMMP-2 activation and MMP-2 release from cells into media was monitored by gelatin zymography and substrate cleavage. Our observations demonstrate that gelatin zymography is insufficient for providing meaningful information about the status of MMP-2. The proteolytically competent mature MMP-2 moiety alone, but not in its complex with TIMP-2, was released from the cells. In tissue culture conditions, the enzyme’s proteolytic activity was suppressed in the next 30 to 60 minutes by tissue inhibitors of MMPs, especially by TIMP-1. The picture emerges that there is a likely temporal regulation of MMP-2 activity by TIMPs in tumor cells. These relatively rapid changes of the MMP-2 status cannot be detected by gelatin zymography. Additional studies are needed to examine the significance of this phenomenon in vivo.
Dynamical Analysis of a New Chaotic Attractor

Dynamical behaviors of a new chaotic attractor is investigated in this paper. Some basic properties, bifurcations, routes to chaos, and periodic windows of the new system are studied either analytically or numerically. Meanwhile, the transition between the Lorenz attractor and Chen's attractor through the new system is explored.
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing

Thanks to advancements in diagnosis and treatment, prostate cancer patients have high long-term survival rates. Currently, an important goal is to preserve quality-of-life during and after treatment. The relationship between the radiation a patient receives and the subsequent side effects he experiences is complex and difficult to model or predict. Here, we use machine learning algorithms and statistical models to explore the connection between radiation treatment and post-treatment gastro-urinary function. Since only a limited number of patient datasets are currently available, we used image flipping and curvature-based interpolation methods to generate more data in order to leverage transfer learning. Using interpolated and augmented data, we trained a convolutional autoencoder network to obtain near-optimal starting points for the weights. A convolutional neural network then analyzed the relationship between patient-reported quality-of-life and radiation. We also used analysis of variance and logistic regression to explore organ sensitivity to radiation and develop dosage thresholds for each organ region. Our findings show no connection between the bladder and quality-of-life scores. However, we found a connection between radiation applied to posterior and anterior rectal regions to changes in quality-of-life. Finally, we estimated radiation therapy dosage thresholds for each organ. Our analysis connects machine learning methods with organ sensitivity, thus providing a framework for informing cancer patient care using patient reported quality-of-life metrics.
Chondrocyte Nuclear Response to Osmotic Loading

Cartilage compression results in changes in the shape, volume as well as hydrostatic and osmotic pressure of chondrocytes in situ. For example, changes in the cellular osmotic environment have been shown to modulate chondrocyte biosynthesis and gene expression, however, the mechanosensing mechanisms mediating these responses are relatively unknown. Nuclear shape and size changes resulting from cell deformation have been suggested to alter cell functions, and as such we recently performed a study that reported that chondrocytes and their nuclei respond to osmotic loading with alterations in their size. In the current study, we focus on the potential role of the actin cytoskeleton in mediating the transmission of osmotic loading-induced cell size changes to the nucleus
Propagation Measurements at 2.4 GHz Inside a University Building and Estimation of Saleh- Valenzuela Parameters

In this paper we analyze measurements conducted in an indoor environment of our university building at a central frequency of 2.4 GHz in terms of the Saleh-Valenzuela channel. The channel parameters are extrapolated by processing the power-delay profiles measured by a vector network analyzer. Final adjustments of the parameters are obtained by comparison of simulated and measured delay-spread cumulative density functions, where a quite good agreement between the two is obtained. The predictions of the coherence bandwidth are satisfactory as well. We also considered some extensions to the original form of the model and concluded that the one that would be worthy to apply is the one that, besides temporal, incorporates also spatial information about the channel, whereas other modifications are found to be unnecessary or even unjustified for evaluation of this indoor propagation scenario.
CNDS Expert Finding System for TREC 2005

This paper describes our system developed for Expert Finding task of Enterprise Track for TREC2005. This system employs 3 methods, traditional IR method, email clustering method and entry page finding method, to find experts related to a specific topic in W3C corpus. Experiment indicates that traditional IR method is useful to expert finding if the query is well generated, email clustering method is helpful when the mail list is relevant to a unique work group or committee, and entry page finding method is valuable while the topic is the theme of a special group. We use result aggregation methods of linear synthesis to combine the results generated by the three methods,. Of our 5 runs submitted for Expert Finding task, the best run is the one generated by linear synthesis, providing a MAP score of 0.2174(Bpref of 0.4299 and p@10 of 0.3460)
Strategies for membrane interaction proteomics: No mass spectrometry required

Membrane‐bound proteins are one of the most important protein types in the cell, and are involved in many major cell processes and signaling pathways. Most proteins, including those at membranes, must interact with other proteins to form complexes, which are essential for their function(s). In this review, we describe some of the major non‐mass spectrometry‐based methods and technologies used for the investigation of intracellular membrane protein complexes including Tango, fluorescence/bioluminescence resonance energy transfer (F/BRET), luminescence‐based mammalian interactome mapping (LUMIER), protein‐fragment complementation assay (PCA), and membrane yeast two‐hybrid assay (MYTH). We highlight the advantages and drawbacks of these methods, describe recent studies utilizing these methods, and discuss some of the major findings in the study of membrane protein‐based cell pathways.
Membrane-embedded Synaptotagmin Penetrates cis ortrans Target Membranes and Clusters via a Novel Mechanism*

The synaptic vesicle protein synaptotagmin I has been proposed to serve as a Ca2+ sensor for rapid exocytosis. Synaptotagmin spans the vesicle membrane once and possesses a cytoplasmic domain largely comprised of two C2 domains designated C2A and C2B. We have determined how deep the Ca2+-binding loops of Ca2+·C2A penetrate into the lipid bilayer and report mutations in synaptotagmin that can uncouple membrane penetration from Ca2+-triggered interactions with the SNARE complex. To determine whether C2A penetrates into the vesicle (“cis”) or plasma (“trans”) membrane, we reconstituted a fragment of synaptotagmin that includes the membrane-spanning and C2A domain (C2A-TMR) into proteoliposomes. Kinetics experiments revealed that cis interactions are rapid (≤500 μs). Binding in the trans mode was distinguished by the slow diffusion of trans target vesicles. Both modes of binding were observed, indicating that the linker between the membrane anchor and C2A domain functions as a flexible tether. C2A-TMR assembled into oligomers via a novel N-terminal oligomerization domain suggesting that synaptotagmin may form clusters on the surface of synaptic vesicles. This novel mode of clustering may allow for rapid Ca2+-triggered oligomerization of the protein via the membrane distal C2B domain.
A simple method for calculating mosquito mortality rates, correcting for seasonal variations in recruitment

Abstract A simple age‐structured exponential growth model is presented for the analysis of the population dynamics of mosquitoes (Diptera: Culicidae). In this model, the proportion of parous mosquitoes R depends on the birth rate β, and the length of the first gonotrophic cycle g, but not on the mortality rate. If the age structure is fairly constant, R= exp(– βg). Extensions of the model correcting for feeding patterns are given. A simple method is applied to an example of Anopheles gambiae Giles biting density and parity ratio in Côte d'Ivoire (fortnightly sampled longitudinal data set), for calculation of the seasonally fluctuating mortality rate, correcting for effects of recruitment. The seasonal variations in birth rate and mortality rate are discussed in relation to variations in density and rainfall.
Argumentation: A Methodology to Facilitate Critical Thinking

Abstract Caring is a difficult nursing activity that involves a complex nature of a human being in need of complex decision-making and problem solving through the critical thinking process. It is mandatory that critical thinking is facilitated in general and in nursing education particularly in order to render care in diverse multicultural patient care settings. This paper aims to describe how argumentation can be used to facilitate critical thinking in learners. A qualitative, exploratory and descriptive design that is contextual was used. Purposive sampling method was used to draw a sample and Miles and Huberman methodology of qualitative analysis was used to analyse data. Lincoln and Guba’s strategies were employed to ensure trustworthiness, while Dhai and McQuoid-Mason’s principles of ethical consideration were used. Following data analysis the findings were integrated within literature which culminated into the formulation of guidelines that can be followed when using argumentation as a methodology to facilitate critical thinking.
The Role of Commitment in Dynamic Contracts: Evidence from Life Insurance

We look at the life insurance industry to study the properties of long term contracts in a world where consumers cannot commit to a contract. The main issue is how contracts are designed to deal with classification risk. We present a model that captures the main features of this industry. The data is especially suited for a test of the theory since it includes information on the entire profile of future premiums. The lack of commitment by consumers shapes contracts in the way predicted by the theory. All types of contracts involve front-loading. This generates a partial lock-in of consumers. Contracts that are more front-loaded have a lower present value of premiums over the period of coverage. This is consistent with the idea that more front-loaded contracts retain better risk pools. The estimates suggest that classification risk is almost completely insured by long term level-premium contracts.