Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapeutic Targeting of Autophagy in Disease: Biology and Pharmacology

Autophagy, a process of self-digestion of the cytoplasm and organelles through which cellular components are recycled for reuse or energy production, is an evolutionarily conserved response to metabolic stress found in eukaryotes from yeast to mammals. It is noteworthy that autophagy is also associated with various pathophysiologic conditions in which this cellular process plays either a cytoprotective or cytopathic role in response to a variety of stresses such as metabolic, inflammatory, neurodegenerative, and therapeutic stress. It is now generally believed that modulating the activity of autophagy through targeting specific regulatory molecules in the autophagy machinery may impact disease processes, thus autophagy may represent a new pharmacologic target for drug development and therapeutic intervention of various human disorders. Induction or inhibition of autophagy using small molecule compounds has shown promise in the treatment of diseases such as cancer. Depending on context, induction or suppression of autophagy may exert therapeutic effects via promoting either cell survival or death, two major events targeted by therapies for various disorders. A better understanding of the biology of autophagy and the pharmacology of autophagy modulators has the potential for facilitating the development of autophagy-based therapeutic interventions for several human diseases.
Fetal electrocardiogram waveform analysis in labour

Purpose of review ST-waveform analysis of the fetal electrocardiogram (ECG) has emerged from experimental and observational studies to clinical use based on the outcome of two large randomized controlled trials and a European Union-supported project on the structured dissemination of knowledge and experience by establishing regional centres of excellence. The review focuses on the outcome from the host of studies and those recently published. Recent findings The database is dominated by a Swedish randomized controlled trial demonstrating not only improved outcome with regard to cord-artery metabolic acidosis and fewer operative interventions for non-reassuring fetal state but, most importantly, the marked and significant reduction in the risk of neonates showing signs of moderate or severe neonatal encephalopathy. The first report from the European Union project is presented, verifying the clinical relevance of the STAN methodology. The outcome of the large European Union project of 8000 deliveries confirms the observations of the randomized controlled trials. A study on the outcome shows improvements in accuracy and consistency among clinicians when automated ST analysis is added to the fetal heart rate trace. Summary After years of dedicated research, it appears as though ST analysis of the fetal ECG has become an additional source of information allowing detailed analysis of fetal responses and more accurate identification of a non-reassuring fetal status. The technology provides continuous information throughout labour. As with any new methodology, structured efforts on training and user feedback are required to fully implement the STAN methodology in clinical practice.
Brain Structures Involved in Visual Search in the Presence and Absence of Color Singletons

It is still debated to what degree top–down and bottom–up driven attentional control processes are subserved by shared or by separate mechanisms. Interactions between these attentional control forms were investigated using a rapid event-related fMRI design, using an attentional search task. Following a prestimulus mask, target stimuli (consisting of a letter C or a mirror image of the C, enclosed in a diamond outline) were presented either at one unique location among three nontarget items (consisting of a random letter, enclosed in a circle outline; 50% probability), or at all four possible target locations (also 50% probability). On half the trials, irrelevant color singletons were presented, consisting of a color change of one of the four prestimulus masks, just prior to target appearance. Participants were required to search for a target letter inside the diamond and report its orientation. Results indicate that, in addition to a common network of parietal areas, medial frontal cortex is uniquely involved in top–down orienting, whereas bottom–up control is mainly subserved by a network of occipital and parietal areas. Additionally, we found that participants who were better able to suppress orienting to the color singleton showed middle frontal gyrus activation, and that the degree of top–down control correlated with insular activity. We conclude that, in addition to a common set of parietal areas, separate brain areas are involved in top–down and bottom–up driven attentional control, and that frontal areas play a role in the suppression of attentional capture by an irrelevant color singleton.
SPEECON – Speech Databases for Consumer Devices: Database Specification and Validation

SPEECON (Speech-Driven Interfaces for Consumer Devices) is a project which aims to develop voice-driven interfaces for consumer applications. Led by an industrial consortium, the project’s goal is to collect speech data for at least 20 languages and 600 speakers per language (mostly adults but children as well). Recorded in different environments which are expected to be representative for the future applications, the database corpus comprises both spontaneous and read speech, the latter including phonetically rich material, a large number of application commands and isolated items such as digits, names, etc. In order to safeguard consistency and high quality of the databases, all of them are subject to validation. This paper describes in detail the specifications of the databases as well as the validation procedure.
Classification of Uncertain Data using Gaussian Process Model

Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, out-dated sources and sampling errors. These kinds of uncertainty have to be handled cautiously, or else the mining results could be unreliable or even wrong. We propose that when data mining is performed on uncertain data, data uncertainty has to be considered in order to obtain high quality data mining results. In this paper we study how uncertainty can be incorporated in data mining by using data clustering as a motivating example. We also present a Gaussian process model that can be able to handle data uncertainty in data mining.
Transforming Cardiovascular Disease Prevention in Women: Time for the Pygmalion Construct to End

The transformation of cardiovascular disease prevention for women must address that a number of nontraditional atherosclerotic cardiovascular disease risk factors are unique to or predominant in women. As well, many traditional atherosclerotic cardiovascular disease risk factors impart differential risks for women and for men. Gender-specific risk assessment and management have the potential to improve atherosclerotic cardiovascular disease outcomes in women.
Sensitivity of cache replacement policies

The sensitivity of a cache replacement policy expresses to what extent the execution history may influence the number of cache hits and misses during program execution. We present an algorithm to compute the sensitivity of a replacement policy. We have implemented this algorithm in a tool called Relacs that can handle a large class of replacement policies including LRU, FIFO, PLRU, and MRU. Sensitivity properties obtained with Relacs demonstrate that the execution history can have a strong impact on the number of cache hits and misses if FIFO, PLRU, or MRU is used. A simple model of execution time is used to evaluate the impact of cache sensitivity on measured execution times. The model shows that measured execution times may strongly underestimate the worst-case execution time for FIFO, PLRU, and MRU.
A lossless compression system realization utilizing phit-serial network-on-chip paradigm

The routing efficiency of on-chip networks remains an open problem for system engineers dealing with multi-core processors. The presented research includes consideration of phit-serial links in a Network-on-Chip (NoC) architecture. We propose measures for communication overhead for a single wormhole router embedded in a square mesh plane. As a source of data bit-stream, we use a lossless compression system based on blending predictors. According to the experimental results, the influence of flow control unit (flit) and physical control digit (phit) lengths on total transfer time is of a non-linear character. The transfer time is proportional to the flit length and inverse proportional to the phit size.
Treating agnosic alexia complicated by additional impairments

In this paper we present a cognitive analysis and therapy study of a patient, MGM, who was alexic due to a profound visual agnosia. Our analysis indicates that the patient had impaired processing of multiple form elements, and impaired verbal memory, along with relatively good phonological skills. A set of therapies was introduced in which MGM was taught (1) to identify letters, (2) to link letters to phonemes, (3) to blend consonant clusters, and (4) to use a verbal compensatory strategy to read irregular words. We demonstrate that the therapy was successful in helping MGM to read. We discuss the results in the light of arguments about the utility of cognitive approaches to therapy.
The cell biology of Listeria monocytogenes infection

Listeria monocytogenes has emerged as a remarkably tractable pathogen to dissect basic aspects of cell biology, intracellular pathogenesis, and innate and acquired immunity. In order to maintain its intracellular lifestyle, L. monocytogenes has evolved a number of mechanisms to exploit host processes to grow and spread cell to cell without damaging the host cell. The pore-forming protein listeriolysin O mediates escape from host vacuoles and utilizes multiple fail-safe mechanisms to avoid causing toxicity to infected cells. Once in the cytosol, the L. monocytogenes ActA protein recruits host cell Arp2/3 complexes and enabled/vasodilator-stimulated phosphoprotein family members to mediate efficient actin-based motility, thereby propelling the bacteria into neighboring cells. Alteration in any of these processes dramatically reduces the ability of the bacteria to establish a productive infection in vivo.
Les difficultés d'apprentissage procédural chez les enfants dysphasiques

RÉSUMÉ : Les difficultés d’apprentissage procédural chez les enfants dysphasiques cet article présente les données de la littérature suggérant que l’apparition des troubles langagiers et non langagiers des enfants dysphasiques peut être liée à des difficultés d’apprentissage procédural touchant principalement les traitements séquentiels. en effet, les enfants dysphasiques rencontrent des difficultés pour apprendre des séquences visuo-motrices et langagières. ces difficultés ne se limitent pas à l’apprentissage initial, mais elles s’étendent également à la phase de consolidation en mémoire à long terme. enfin, des travaux récents montrent qu’il est possible d’améliorer les capacités d’apprentissage procédural, ce qui ouvre la voie vers de nouvelles pistes de rééducation. Mots clés : Dysphasie – Apprentissage procédural – Apprentissage séquentiel – Développement du langage.
An altitudinal comparison of caterpillar (Lepidoptera) assemblages on Ficus trees in Papua New Guinea

Aim This analysis of caterpillar (Lepidoptera) beta‐diversity between tropical lowlands and highlands attempts to separate the effects of between‐site (1) turnover of herbivore species on particular host plants, (2) changes in host use by herbivores, and (3) turnover of plant species on changes in herbivore assemblages.
Individual Differences in the Use of Command Line and Menu Computer Interfaces

This article presents an experimental investigation of the process of computer-based command generation. The comparative cognitive demands imposed by menu and command line interfaces are examined in relation to individual differences in expertise and cognitive ability. Three-way interactions between associative memory, expertise, and command generation method indicated similarities in the performance of expert participants with low associative memory and that of novices. Spatial memory also interacted with expertise, with novices with low spatial memory performing more poorly than any other group. Implications for interface design are considered.
Oral health Attitude Knowledge Behavior and Consent towards Dental treatment among School children

This study aims at determining the oral health awareness level, attitude, knowledge, behavior, pattern of dental health practice and consent towards their dental treatment as well as to evaluate the factors that determine these variables and their association with socioeconomic status. School children of age 8-15 years were recruited for this study. They are divided into two groups: high socioeconomic and low socioeconomic status. The subjects completed a questionnaire thataimed to evaluate school children’s behavior, knowledge, attitude, perception of their oral health and consent towards their dental treatment. 15.9% subjects found to brush their teeth twice in a day among high socioeconomic group and 9.9% among low socioeconomic. Among 22.5% of high socioeconomic and 8.6% of low socioeconomic group pain is the driving factor for dental visit. 13.2% and 11.3% of high and low socioeconomic class wants that they should be involved in decision making process about their treatment. The result of this study indicate that children and parents attitude ,awareness toward oral health need to beimproved irrespective of socioeconomic status of family but special attention must be given to low socioeconomic class. Comprehensive oral health education programs are required to achieve these goals.
Can’t RIDD off viruses

The mammalian genome has evolved to encode a battery of mechanisms, to mitigate a progression in the life cycle of an invasive viral pathogen. Although apparently disadvantaged by their dependence on the host biosynthetic processes, an immensely faster rate of evolution provides viruses with an edge in this conflict. In this review, I have discussed the potential anti-virus activity of inositol-requiring enzyme 1 (IRE1), a well characterized effector of the cellular homeostatic response to an overloading of the endoplasmic reticulum (ER) protein-folding capacity. IRE1, an ER-membrane-resident ribonuclease (RNase), upon activation catalyses regulated cleavage of select protein-coding and non-coding host RNAs, using an RNase domain which is homologous to that of the known anti-viral effector RNaseL. The latter operates as part of the Oligoadenylate synthetase OAS/RNaseL system of anti-viral defense mechanism. Protein-coding RNA substrates are differentially treated by the IRE1 RNase to either augment, through cytoplasmic splicing of an intron in the Xbp1 transcript, or suppress gene expression. This referred suppression of gene expression is mediated through degradative cleavage of a select cohort of cellular RNA transcripts, initiating the regulated IRE1-dependent decay (RIDD) pathway. The review first discusses the anti-viral mechanism of the OAS/RNaseL system and evasion tactics employed by different viruses. This is followed by a review of the RIDD pathway and its potential effect on the stability of viral RNAs. I conclude with a comparison of the enzymatic activity of the two RNases followed by deliberations on the physiological consequences of their activation.
CYTOCHEMICAL STUDIES OF MITOCHONDRIA

1. Mitochondria isolated from rat liver were disrupted with 0.3 per cent deoxycholate and a number of subfractions were isolated from this preparation by differential centrifugation. 2. The protein N, RNA and phospholipide content, as well as the succinoxidase, cytochrome c oxidase, adenylate kinase, and DPNH-cytochrome c reductase of these fractions were determined. 3. Two of these subfractions, found to consist of mitochondrial membranes (2), contained ∼ 12 per cent of the protein N and ∼ 35 per cent of the phospholipide of the whole mitochondria and accounted for ∼ 70 per cent of the succinoxidase and cytochrome c oxidase activity of the original mitochondrial preparation. There was no discernible adenylate kinase, DPNH-cytochrome c reductase, or phosphorylating activities in these fractions, nor could they oxidize other substrates of the Krebs's cycle. 4. The most active fraction (60 minutes at 105,000 g pellet) had a higher phospholipide/protein value than the whole mitochondria and showed a seven-to elevenfold concentration of succinoxidase and cytochrome c oxidase activities. 5. Evidence has been given to indicate that the various components of the succinoxidase complex are present in this membrane fraction in the same relative proportions as in the whole mitochondria. 6. The implications of these findings are discussed.
Cyclophilin Inhibitors: An Emerging Class of Therapeutics for the Treatment of Chronic Hepatitis C Infection

The advent of the replicon system together with advances in cell culture have contributed significantly to our understanding of the function of virally-encoded structural and nonstructural proteins in the replication cycle of the hepatitis C virus. In addition, in vitro systems have been used to identify several host proteins whose expression is critical for supporting such diverse activities as viral entry, RNA replication, particle assembly, and the release of infectious virions. Among all known host proteins that participate in the HCV replication cycle, cyclophilins are unique because they constitute the only host target that has formed the basis of pharmaceutical drug discovery and drug development programs. The introduction of the nonimmunosuppressive cyclophilin inhibitors into clinical testing has confirmed the clinical utility of CsA-based inhibitors for the treatment of individuals with chronic hepatitis C infection and has yielded new insights into their mechanism(s) of action. This review describes the biochemical evidence for the potential roles played by cyclophilins in supporting HCV RNA replication and summarizes clinical trial results obtained with the first generation of nonimmunosuppressive cyclophilin inhibitors.
Toward a Minimal Representation of Affective Gestures

This paper presents a framework for analysis of affective behavior starting with a reduced amount of visual information related to human upper-body movements. The main goal is to individuate a minimal representation of emotional displays based on nonverbal gesture features. The GEMEP (Geneva multimodal emotion portrayals) corpus was used to validate this framework. Twelve emotions expressed by 10 actors form the selected data set of emotion portrayals. Visual tracking of trajectories of head and hands were performed from a frontal and a lateral view. Postural/shape and dynamic expressive gesture features were identified and analyzed. A feature reduction procedure was carried out, resulting in a 4D model of emotion expression that effectively classified/grouped emotions according to their valence (positive, negative) and arousal (high, low). These results show that emotionally relevant information can be detected/measured/obtained from the dynamic qualities of gesture. The framework was implemented as software modules (plug-ins) extending the EyesWeb XMI Expressive Gesture Processing Library and is going to be used in user centric, networked media applications, including future mobiles, characterized by low computational resources, and limited sensor systems.
Lily: A miniature floating robotic platform for programmable stochastic self-assembly

Fluid-mediated programmable stochastic self-assembly offers promising means to formation of target structures capable of a variety of functionalities. While miniaturized building blocks allow for finer resolutions in such structures, as well as access to unconventional environments, they can only be endowed with very limited on-board resources. In this paper we present the design, fabrication, and experimental results validating the key functionalities of the Lily robot as the building block in a programmable stochastic fluidic self-assembly system, capable of forming 2D structures. In particular, we aim at driving a system including an arbitrary number of Lilies to form target structures through parallel self-assembly, using exclusively local information and communication. While capable of wireless communication to a base station, Lilies are endowed with custom-designed electropermanent magnets to latch and also to communicate locally with their neighbors. Several experiments validate the reliability of the radio channel as well as the robustness of the local induction-based communication which allows for data transfer at 9600 bps with a success rate of 92.8% without repetition. The latches are shown to hold four times the weight of a single robot and to drag in another Lily from a distance of 4 mm in water.
Temporal variation, dormancy, and coexistence: a field test of the storage effect.

Theoretical models suggest that overlapping generations, in combination with a temporally fluctuating environment, may allow the persistence of competitors that otherwise would not coexist. Despite extensive theoretical development, this "storage effect" hypothesis has received little empirical attention. Herein I present the first explicit mathematical analysis of the contribution of the storage effect to the dynamics of competing natural populations. In Oneida Lake, NY, data collected over the past 30 years show a striking negative correlation between the water-column densities of two species of suspension-feeding zooplankton, Daphnia galeata mendotae and Daphnia pulicaria. I have demonstrated competition between these two species and have shown that both possess long-lived eggs that establish overlapping generations. Moreover, recruitment to this long-lived stage varies annually, so that both daphnids have years in which they are favored (for recruitment) relative to their competitor. When the long-term population growth rates are calculated both with and without the effects of a variable environment, I show that D. galeata mendotae clearly cannot persist without the environmental variation and prolonged dormancy (i.e., storage effect) whereas D. pulicaria persists through consistently high per capita recruitment to the long-lived stage.
Statistical Analysis of Bus Networks in India

In this paper, we model the bus networks of six major Indian cities as graphs in L-space, and evaluate their various statistical properties. While airline and railway networks have been extensively studied, a comprehensive study on the structure and growth of bus networks is lacking. In India, where bus transport plays an important role in day-to-day commutation, it is of significant interest to analyze its topological structure and answer basic questions on its evolution, growth, robustness and resiliency. Although the common feature of small-world property is observed, our analysis reveals a wide spectrum of network topologies arising due to significant variation in the degree-distribution patterns in the networks. We also observe that these networks although, robust and resilient to random attacks are particularly degree-sensitive. Unlike real-world networks, such as Internet, WWW and airline, that are virtual, bus networks are physically constrained. Our findings therefore, throw light on the evolution of such geographically and constrained networks that will help us in designing more efficient bus networks in the future.