Miracle-dz/UniFAR-FTUs huggingface dataset:
Early delineation of ischemic tissue in rat brain cryosections by high-contrast staining.

BACKGROUND AND PURPOSE After short periods of ischemia, commonly used staining methods yield only moderate differences in optical contrast between normal and damaged brain tissue when gray-scale images are used for computer-assisted image analysis. We describe a high-contrast silver infarct staining (SIS) method that allows an early delineation of ischemic tissue as soon as 2 hours after middle cerebral artery occlusion (MCAO) in rat brain cryosections. METHODS Rats were subjected to permanent MCAO for 2, 4, 6, and 48 hours. The optical densities were quantified in nonischemic white and gray matter and in damaged tissue from gray-scale images of serial sections with the use of a video camera-based image analyzing system. SIS, hematoxylin-eosin, Nissl, and nitroblue tetrazolium stainings were performed in cryosections, and 2,3, 5-triphenyltetrazolium hydrochloride (TTC) staining was performed in unfrozen vibratome sections. In addition, the range of reduced cerebral blood flow (CBF) in areas demarcated by SIS was determined in iodo[14C]antipyrine autoradiograms of adjacent cryosections. RESULTS At all times after MCAO, only SIS showed significantly (P<0.01) lower optical densities in damaged than in normal brain tissue for both white and gray matter. TTC staining was as effective as SIS 6 and 48 hours after MCAO. The tightest correlation between areas of reduced SIS and of reduced CBF was found at a mean ischemic CBF of 22.3 mL/100 g per minute. This corresponds to a CBF range of 0 to 44 mL/100 g per minute in areas of reduced SIS. CONCLUSIONS In contrast to other staining methods, SIS allows a reliable delineation of ischemic brain tissue (core plus penumbra) from nonischemic white and gray matter of rat brain cryosections as soon as 2 hours after MCAO.
MoPPLiq: A Model for Pedagogical Adaptation of Serious Game Scenarios

In order to help teachers adapt the educational scenarios of Serious Games to their specific needs, we have built a model called MoPPliq capable of formalizing the flow of activities in the game. This model integrates all the functionalities necessary to allow teachers to restructure the Serious Game scenario without altering the logic of the game's storyline. In this paper, we describe the MoPPliq model and discuss our evaluation of its expressivity by using model transformation.
AUTOMOTIVE ASSEMBLY LINES

Dynamism and uncertainty are genuine threats for current high technology organisations. Capability to change is the crux of sustainability of current large organisations. Modern manufacturing philosophies, including agile and lean, are not enough to be competitive in global market therefore a new emerging paradigm i.e. reconfigurable manufacturing systems is fast emerging to complement the application of lean and agile manufacturing systems. Product, Process and Resource (PPR) are the core areas in an engineering domain of a manufacturing enterprise which are tightly coupled with each other. Change in one (usually product) affects the others therefore engineering change management activity has to tackle PPR change effects. Current software applications do not provide an unequivocal infrastructure where PPR can be explicitly related. It follows that reconfigurable techniques can be further complemented with the help of knowledge based systems to design, engineer, manufacture, commission and change existing processes and resources against changed products.
Periplasmic glycerophosphodiester phosphodiesterase of Escherichia coli, a new enzyme of the glp regulon.

The promoter-proximal gene (glpT) of the glpT-glpQ operon of Escherichia coli encodes a membrane permease responsible for active transport of sn-glycerol 3-phosphate. Promoter-distal glpQ encodes a periplasmic protein which is not required for active transport of sn-glycerol 3-phosphate (Larson, T.J., Schumacher, G., and Boos, W. (1982) J. Bacteriol. 152, 1008-1021). This periplasmic protein has now been identified as a phosphodiesterase which hydrolyzes glycerophosphodiesters into sn-glycerol 3-phosphate plus alcohol. The enzyme exhibited broad substrate specificity with respect to the alcohol moiety; sn-glycerol 3-phosphate was released from glycerophosphoethanolamine, glycerophosphocholine, glycerophosphoglycerol, and bis(glycerophospho)glycerol. The enzyme was specific for glycerophosphodiesters; bis(p-nitrophenyl)phosphate, a substrate for other phosphodiesterases, was not hydrolyzed. In a coupled spectrophotometric assay utilizing sn-glycerol 3-phosphate dehydrogenase and NAD, apparent activity was optimal at pH 9 and was stimulated by Ca2+. The substrates of the phosphodiesterase had no affinity for the glpT-encoded active transport system. Thus, the glpQ gene product expands the catabolic capability of the glp regulon to include a variety of glycerophosphodiesters.
Racial/Ethnic Health Disparities Among Rural Adults — United States, 2012–2015

Problem/Condition Rural communities often have worse health outcomes, have less access to care, and are less diverse than urban communities. Much of the research on rural health disparities examines disparities between rural and urban communities, with fewer studies on disparities within rural communities. This report provides an overview of racial/ethnic health disparities for selected indicators in rural areas of the United States. Reporting Period 2012–2015. Description of System Self-reported data from the 2012–2015 Behavioral Risk Factor Surveillance System were pooled to evaluate racial/ethnic disparities in health, access to care, and health-related behaviors among rural residents in all 50 states and the District of Columbia. Using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties to assess rurality, this analysis focused on adults living in noncore (rural) counties. Results Racial/ethnic minorities who lived in rural areas were younger (more often in the youngest age group) than non-Hispanic whites. Except for Asians and Native Hawaiians and other Pacific Islanders (combined in the analysis), more racial/ethnic minorities (compared with non-Hispanic whites) reported their health as fair or poor, that they had obesity, and that they were unable to see a physician in the past 12 months because of cost. All racial/ethnic minority populations were less likely than non-Hispanic whites to report having a personal health care provider. Non-Hispanic whites had the highest estimated prevalence of binge drinking in the past 30 days. Interpretation Although persons in rural communities often have worse health outcomes and less access to health care than those in urban communities, rural racial/ethnic minority populations have substantial health, access to care, and lifestyle challenges that can be overlooked when considering aggregated population data. This study revealed difficulties among non-Hispanic whites as well, primarily related to health-related risk behaviors. Across each population, the challenges vary. Public Health Action Stratifying data by different demographics, using community health needs assessments, and adopting and implementing the National Culturally and Linguistically Appropriate Services Standards can help rural communities identify disparities and develop effective initiatives to eliminate them, which aligns with a Healthy People 2020 overarching goal: achieving health equity.
The neurogenic basic helix–loop–helix transcription factor NeuroD6 confers tolerance to oxidative stress by triggering an antioxidant response and sustaining the mitochondrial biomass

Preserving mitochondrial mass, bioenergetic functions and ROS (reactive oxygen species) homoeostasis is key to neuronal differentiation and survival, as mitochondria produce most of the energy in the form of ATP to execute and maintain these cellular processes. In view of our previous studies showing that NeuroD6 promotes neuronal differentiation and survival on trophic factor withdrawal, combined with its ability to stimulate the mitochondrial biomass and to trigger comprehensive antiapoptotic and molecular chaperone responses, we investigated whether NeuroD6 could concomitantly modulate the mitochondrial biomass and ROS homoeostasis on oxidative stress mediated by serum deprivation. In the present study, we report a novel role of NeuroD6 as a regulator of ROS homoeostasis, resulting in enhanced tolerance to oxidative stress. Using a combination of flow cytometry, confocal fluorescence microscopy and mitochondrial fractionation, we found that NeuroD6 sustains mitochondrial mass, intracellular ATP levels and expression of specific subunits of respiratory complexes upon oxidative stress triggered by withdrawal of trophic factors. NeuroD6 also maintains the expression of nuclear-encoded transcription factors, known to regulate mitochondrial biogenesis, such as PGC-1α (peroxisome-proliferator-activated receptor γ co-activator-1α), Tfam (transcription factor A, mitochondrial) and NRF-1 (nuclear respiratory factor-1). Finally, NeuroD6 triggers a comprehensive antioxidant response to endow PC12-ND6 cells with intracellular ROS scavenging capacity. The NeuroD6 effect is not limited to the classic induction of the ROS-scavenging enzymes, such as SOD2 (superoxide dismutase 2), GPx1 (glutathione peroxidase 1) and PRDX5 (peroxiredoxin 5), but also to the recently identified powerful ROS suppressors PGC-1α, PINK1 (phosphatase and tensin homologue-induced kinase 1) and SIRT1. Thus our collective results support the concept that the NeuroD6–PGC-1α–SIRT1 neuroprotective axis may be critical in co-ordinating the mitochondrial biomass with the antioxidant reserve to confer tolerance to oxidative stress.
INSPIRED: Intention-based Privacy-preserving Permission Model

Mobile operating systems adopt permission systems to protect system integrity and user privacy. In this work, we propose INSPIRED, an intention-aware dynamic mediation system for mobile operating systems with privacy-preserving capability. When a security or privacy sensitive behavior is triggered, INSPIRED automatically infers the underlying program intention by examining its runtime environment and justifies whether to grant the relevant permission by matching with user intention. We stress on runtime contextual-integrity by answering the following three questions: who initiated the behavior, when was the sensitive action triggered and under what kind of environment was it triggered? Specifically, observing that mobile applications intensively leverage user interface (UI) to reflect the underlying application functionality, we propose a machine learning based permission model using foreground information obtained from multiple sources. To precisely capture user intention, our permission model evolves over time and it can be user-customized by continuously learning from user decisions. Moreover, by keeping and processing all user's behavioral data inside her own device (i.e., without sharing with a third-party cloud for learning), INSPIRED is also privacy-preserving. Our evaluation shows that our model achieves both high precision and recall (95%) based on 6,560 permission requests from both benign apps and malware. Further, it is capable of capturing users' specific privacy preferences with an acceptable median f-measure (84.7%) for 1,272 decisions from users. Finally, we show INSPIRED can be deployed on real Android devices to provide real-time protection with a low overhead.
Reflections inspired by Ethnic Boundary Making: Institutions, Power, Networks by Andreas Wimmer

This essay engages with Wimmer's Ethnic Boundary Making to consider how cultural processes feed into inequality. It describes the strengths of the book, relates it to my early work, and draws on Lamont, Beljean, and Clair (forthcoming), to describe two types of identification processes (racialization and stigmatization) and two types of rationalization processes (standardization and evaluation) that contribute to an understanding of the relationship between symbolic and social boundaries. It stresses similarities and differences between approaches and suggests possible points for convergence.
2DOF control system design for maneuverability matching and gust disturbance rejection in in-flight simulator MuPAL-α

Multipurpose aviation laboratory-α (MuPAL-α) is an experimental aircraft developed by the Japan aerospace exploration agency (JAXA). Its one of the most important functions is to realize in-flight simulation, i.e., to simulate maneuverability of other aircraft via practical flight experiments. To achieve the desired maneuverability matching under model uncertainty and gust disturbance, in this paper, we construct reference feedforward type 2DOF (RFF-2DOF) control system. We will show via numerical simulation that satisfactory results are obtained by constructing RFF-2DOF control system.
Molecular phylogeny of some European heteronemertean (Nemertea) species and the monophyletic status of Riseriellus, Lineus, and Micrura.

The 16S rRNA mitochondrial gene was used to reconstruct the relationships among 10 heteronemertean species (subclass Heteronemertea, phylum Nemertea); Lineus ruber and L. viridis are represented by more than one specimen to assess intraspecific variation in these enigmatic species, and the analysis includes in total 14 terminal taxa incorporating one palaeonemertean species (Tubulanus annulatus) for outgroup rooting. The aligned sequences were subjected to maximum parsimony, maximum-likelihood, and neighbor-joining analyses to estimate the phylogenetic relationship of the species. The results were concordant from all analyses and indicate that neither Lineus nor Micrura are monophyletic taxa, and that there is no support from a phylogenetic point of view to establish the monotypic genus Riseriellus.
Life course epidemiology: Modeling educational attainment with administrative data

Background Understanding the processes across childhood and adolescence that affect later life inequalities depends on many variables for a large number of individuals measured over substantial time periods. Linkable administrative data were used to generate birth cohorts and to study pathways of inequity in childhood and early adolescence leading to differences in educational attainment. Advantages and disadvantages of using large administrative data bases for such research were highlighted. Methods Children born in Manitoba, Canada between 1982 and 1995 were followed until age 19 (N = 89,763), with many time-invariant measures serving as controls. Five time-varying predictors of high school graduation—three social and two health—were modelled using logistic regression and a framework for examining predictors across the life course. For each time-varying predictor, six temporal patterns were tested: full, accumulation of risk, sensitive period, and three critical period models. Results Predictors measured in early adolescence generated the highest odds ratios, suggesting the importance of adolescence. Full models provided the best fit for the three time-varying social measures. Residence in a low-income neighborhood was a particularly influential predictor of not graduating from high school. The transmission of risk across developmental periods was also highlighted; exposure in one period had significant implications for subsequent life stages. Conclusion This study advances life course epidemiology, using administrative data to clarify the relationships among several measures of social behavior, cognitive development, and health. Analyses of temporal patterns can be useful in studying such other outcomes as educational achievement, teen pregnancy, and workforce participation.
A UML profile for delta-oriented programming to support software product line engineering

Feature-based approaches to software design, like delta-oriented programming, are well-suited to support multi-product software development paradigms, such as Software Product Lines. Currently, the popular UML notation does not support delta-oriented software design, so that several ad-hoc notations tend to be used. This paper presents a systematic approach to import concepts from delta-oriented programming into the mainstream notation UML. This is done with minimal overhead by specifying a new, slim, delta-oriented UML profile. It is compatible with languages that support delta-oriented programming such as DeltaJ and ABS. The usefulness of the profile is evaluated with a case study.
Towards the design of an end-to-end automated system for image and video-based recognition

Over many decades, researchers working in object recognition have longed for an end-to-end automated system that will simply accept 2D or 3D image or videos as inputs and output the labels of objects in the input data. Computer vision methods that use representations derived based on geometric, radiometric and neural considerations and statistical and structural matchers and artificial neural network-based methods where a multi-layer network learns the mapping from inputs to class labels have provided competing approaches for image recognition problems. Over the last four years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements on object detection/recognition challenge problems. This has been made possible due to the availability of large annotated data, a better understanding of the non-linear mapping between image and class labels as well as the affordability of GPUs. In this paper, we present a brief history of developments in computer vision and artificial neural networks over the last forty years for the problem of image-based recognition. We then present the design details of a deep learning system for end-to-end unconstrained face verification/recognition. Some open issues regarding DCNNs for object recognition problems are then discussed. We caution the readers that the views expressed in this paper are from the authors and authors only!
Design and Optimization of Anti-amyloid Domain Antibodies Specific for β-Amyloid and Islet Amyloid Polypeptide*

Antibodies with conformational specificity are important for detecting and interfering with polypeptide aggregation linked to several human disorders. We are developing a motif-grafting approach for designing lead antibody candidates specific for amyloid-forming polypeptides such as the Alzheimer peptide (Aβ). This approach involves grafting amyloidogenic peptide segments into the complementarity-determining regions (CDRs) of single-domain (VH) antibodies. Here we have investigated the impact of polar mutations inserted at the edges of a large hydrophobic Aβ42 peptide segment (Aβ residues 17–42) in CDR3 on the solubility and conformational specificity of the corresponding VH domains. We find that VH expression and solubility are strongly enhanced by introducing multiple negatively charged or asparagine residues at the edges of CDR3, whereas other polar mutations are less effective (glutamine and serine) or ineffective (threonine, lysine, and arginine). Moreover, Aβ VH domains with negatively charged CDR3 mutations show significant preference for recognizing Aβ fibrils relative to Aβ monomers, whereas the same VH domains with other polar CDR3 mutations recognize both Aβ conformers. We observe similar behavior for a VH domain grafted with a large hydrophobic peptide from islet amyloid polypeptide (residues 8–37) that contains negatively charged mutations at the edges of CDR3. These findings highlight the sensitivity of antibody binding and solubility to residues at the edges of CDRs, and provide guidelines for designing other grafted antibody fragments with hydrophobic binding loops.
Dynamic power control in Wireless Body Area Networks using reinforcement learning with approximation

A Wireless Body Area Network (WBAN) is made up of multiple tiny physiological sensors implanted in/on the human body with each sensor equipped with a wireless transceiver that communicates to a coordinator in a star topology. Energy is the scarcest resource in WBANs. Power control mechanisms to achieve a certain level of utility while using as little power for transmission as possible can play an important role in reducing energy consumption in such very energy-constrained networks. In this paper, we propose a novel power controller to mitigate internetwork interference in WBANs and increase the maximum achievable throughput with the minimum energy consumption. The proposed power controller employs reinforcement learning with approximation to learn from the environment and improve its performance. We compare the performance of the proposed controller to two other power controllers, one based on game theory and the other one based on fuzzy logic. Simulation results show that compared to the other two approaches, RLPC provides a substantial saving in energy consumption per bit, with a substantial increase in network lifetime.
Acquisition of Conceptual Data Models from Natural Language Descriptions

Acquiring information systems specifications from natural language description is presented as a problem class that requires a different treatment of semantics when compared with other applied NL systems such as database and operating system interfaces. Within this problem class, the specific task of obtaining explicit conceptual data models from natural language text or dialogue is being investigated. The knowledge brought to bear on this task is classified into syntactic, semantic and systems analysis knowledge. Investigations with a simple syntactic parse and with a semantic analysis using McCord's Slot Grammar are reported, and the structure of the systems analysis knowledge is considered.
Personality Disorder Diagnosis: Limitations of the Five-Factor Model

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