Miracle-dz/UniFAR-FTUs huggingface dataset:
Proglycogen, macroglycogen, glucose, and glucose-6-phosphate concentrations in skeletal muscles of horses with polysaccharide storage myopathy performing light exercise.

OBJECTIVE To determine concentrations of proglycogen (PG), macroglycogen (MG), glucose, and glucose-6-phosphate (G-6-P) in skeletal muscle of horses with polysaccharide storage myopathy (PSSM) before and after performing light submaximal exercise. ANIMALS 6 horses with PSSM and 4 control horses. PROCEDURES Horses with PSSM completed repeated intervals of 2 minutes of walking followed by 2 minutes of trotting on a treadmill until muscle cramping developed. Four untrained control horses performed a similar exercise test for up to 20 minutes. Serum creatine kinase (CK) activity was measured before and 4 hours after exercise. Concentrations of total glycogen (G(t)), PG, MG, G-6-P, free glucose, and lactate were measured in biopsy specimens of gluteal muscle obtained before and after exercise. RESULTS Mean serum CK activity was 26 times higher in PSSM horses than in control horses after exercise. Before exercise, muscle glycogen concentrations were 1.5, 2.2, and 1.7 times higher for PG, MG, and G(t), respectively, in PSSM horses, compared with concentrations in control horses. No significant changes in G(t), PG, MG, G-6-P, and lactate concentrations were detected after exercise. However, free glucose concentrations in skeletal muscle increased significantly in PSSM horses after exercise. CONCLUSIONS AND CLINICAL RELEVANCE Analysis of the results suggests that glucose uptake in skeletal muscle is augmented in horses with PSSM after light exercise. There is excessive storage of PG and MG in horses with PSSM, and high concentrations of the 2 glycogen fractions may affect functional interactions between glycogenolytic and glycogen synthetic enzymes and glycosomes.
Neuroendocrine cell hyperplasia of infancy: a prospective follow-up of nine children

Neuroendocrine cell hyperplasia of infancy (NEHI) has recently been described as an obstructive airway disease that affects infants aged 1–24 months, and presents typically with tachypnoea, crackles and hypoxia. The pathogenesis of the disease is unknown. We describe the clinical course of nine infants with radiologically and histologically confirmed NEHI. Host or environmental factors were not associated with the disease development. All infants with lung function tests demonstrated findings consistent with severe irreversible peripheral airway obstruction, assessed with whole body plethysmography (6/6) or the rapid thoracoabdominal compression technique (5/5). While the symptoms abated in all infants, six infants developed a non-atopic asthma during the follow-up. Systemic or inhaled corticosteroid treatment did not affect the duration of the symptoms. NEHI may mimic severe asthma and thus this entity should be taken into account when evaluating infants with chronic respiratory symptoms.
Beyond shopping: Constructing the Sydney Olympics in three-dimensional text

The Sydney 2000 Olympic Games were 'sold' to local and international populations through a range of media, including the Sydney Olympic Store, an extravagant souvenir shop. The store intertwines a range of semiotic resources - layout, color, language, and more - to create a meaningful text. The article uses a social-semiotic framework to begin to explore the ideational, interpersonal and textual meanings made in this store, and to problematize descriptions of multimodal texts, introducing intersemiosis as a key to the textuality' of these complex texts. It is argued that the store is much more than just a place to shop; through a range of devices, it is situated within broader sociocultural frameworks, and clearly articulates with existing ideologies surrounding the International Olympic Games. Whilst highly preliminary in terms of analysis, the article suggests some starting points for the description and critique of institutionalized, multimodal texts.
Mom, dad, meet my mate: An evolutionary perspective on the introduction of parents and mates

Abstract Many studies focus on the role of parents in the selection of mates, with most showing that parents have influence, albeit variable, in this process. Within Western societies, individuals often present a potential mate to their parents. This meeting represents a turning point, signifying that one is serious about the potential mate becoming a long-term, committed partner. Although this introduction of parents and possible mate is important, there has been no prior investigation into its timing, or specific reasons (other than signifying commitment) why an individual would want to orchestrate the meeting. Using an evolutionary psychology framework, we hypothesized that individuals are motivated to bring home their mates in order to seek parental feedback and approval, as well as indicate to their mate that they are serious about the relationship. We also hypothesized individuals want to meet their new partner’s parents for insight into how their potential mate will look when older, their future health, and potential familial resources that will be available. Our findings generally supported our predictions. We also examined the influence of attachment style and birth order on the timing of the introduction, but found minimal influence for these factors.
Surface mapping brain function on 3D models

A flexible graphics system for displaying functional and anatomic data on arbitrary collections of surfaces on or within the brain is presented. The system makes it possible to show complex, convoluted surfaces with the shading cues necessary to understand their shapes; to vary viewpoint, object position, illumination, and perspective easily; to show multiple-objects in one view, with or without transparency, in order to examine internal surfaces and intersecting objects in relation to each other; and to superimpose quantitative information on biological or otherwise defined surfaces anywhere within the volume, thus furthering understanding of both quantitative and positional information in its global context. These display techniques are applied to a new form of biological surface model, the removed surface. The surface-removal method creates a set of surfaces internal to a given object, so that, given a specified distance, every point on the created surfaces is equidistant from the surface of the enclosing object. The method is based on thresholding a derived scalar field, the minimum distance field. Models made by this method have applications in 3-D neurobiology and provide an alternative to cutaways for viewing patterns of internal functional activity. <<ETX>>
Sinusoidal Frequency Modulation Sparse Recovery for Precession Rate Estimation Using Low-Frequency Long-Range Radar

Low-frequency long-range radars (LFLRRs) are assumed to lack the ability of extracting targets micro motion signature, due to their low and nonuniform track update rate, as well as the weak micro Doppler (m-D) owing to their large wave length. The recently proposed sinusoidal frequency modulated (SFM) Fourier transform can achieve a longer integral period gain, and consequently provides a new perspective for extracting weak m-D signature. However, its direct application is unavailable for LFLRRs, since their track update rate is very low and may not even be constant. This paper derives a new approach, named sinusoidal frequency modulation sparse recovery (SFMSR) for m-D analysis with LFLRR, by exploiting the micro motion spectrum sparsity in SFM signal space. SFMSR employs the Fourier modulation dictionary, which is determined only by the frequency in SFM signal space. Unlike other sparse representation-based methods whose dictionary is discretization of a 3-D space parameterized by the micro motion amplitude, frequency, and initial phase, the SFMSR reduces the m-D analysis to 1-D parameter optimization, and therefore can enhance the precision, stability, and computational efficiency simultaneously. The temporally correlated sparse Bayesian learning in SFM signal space is employed to decompose the signal and produce highly sparse solutions. The simulation results indicate that the proposed method outperforms the existing methods in accuracy and robustness, which can provide satisfactory performance even when the carrier frequency is 430 MHz and the average data rate is 0.5 Hz.
SOLVING JOB SHOP SCHEDULING PROBLEMS WITH CONSULTANT GUIDED SEARCH METAHEURISTICS

Nature Inspired Computing (NIC) is the research area that aims to get ideas by observing how nature behaves in various situations to solve problems. NIC when compared to the traditional computing systems, respond slowly but produces good results. NatureInspired algorithms is a class of algorithms that mimic the problem solving behavior from nature. In this paper Job Shop Scheduling Problem (JSSP) is solved by using the Consultant Guided Search algorithm (CGS) a Nature-Inspired metaheuristic algorithm. JSSP instances from OR library are selected and solved by implementing CGS algorithm. It was observed that CGS algorithm has obtained best-so-far solutions for almost all the instances taken for study.
Environmental audio-visual context awareness

A truly personal and reactive computer system should have access to the same information as its user, including the ambient sights and sounds. To this end, we have developed a system for extracting events and scenes from natural audio/visual input. We find our system can (without any prior labeling of data) cluster the audio/visual data into events, such as passing through doors and crossing the street. Also, we hierarchically cluster these events into scenes and get clusters that correlate with visiting the supermarket
The Mediator Subunit MDT-15 Confers Metabolic Adaptation to Ingested Material

In eukaryotes, RNA polymerase II (PolII) dependent gene expression requires accessory factors termed transcriptional coregulators. One coregulator that universally contributes to PolII-dependent transcription is the Mediator, a multisubunit complex that is targeted by many transcriptional regulatory factors. For example, the Caenorhabditis elegans Mediator subunit MDT-15 confers the regulatory actions of the sterol response element binding protein SBP-1 and the nuclear hormone receptor NHR-49 on fatty acid metabolism. Here, we demonstrate that MDT-15 displays a broader spectrum of activities, and that it integrates metabolic responses to materials ingested by C. elegans. Depletion of MDT-15 protein or mutation of the mdt-15 gene abrogated induction of specific detoxification genes in response to certain xenobiotics or heavy metals, rendering these animals hypersensitive to toxin exposure. Intriguingly, MDT-15 appeared to selectively affect stress responses related to ingestion, as MDT-15 functional defects did not abrogate other stress responses, e.g., thermotolerance. Together with our previous finding that MDT-15:NHR-49 regulatory complexes coordinate a sector of the fasting response, we propose a model whereby MDT-15 integrates several transcriptional regulatory pathways to monitor both the availability and quality of ingested materials, including nutrients and xenobiotic compounds.
CrowdMi: Scalable and Diagnosable Mobile Voice Quality Assessment Through Wireless Analytics

Scalable and diagnosable are the two most crucial needs for voice call quality assessment in mobile networks. However, while these two requirements are widely accepted by mobile carriers, they do not receive enough attention during the development. Current related research mainly focuses on audio feature analysis, which is costly, sensitive to language and tones, and infeasible to be applied to large-scale mobile networks. In this paper, we revisit this problem, and for the first time explore wireless network, the causal factor that directly impacts the mobile voice quality but yet lacks attention for decades. We design CrowdMi, a wireless analytical tool that model the mobile voice quality by crowdsourcing and mining the network indicators of cellphones. CrowdMi mines hundreds of network indicators to build a causal relationship between voice quality and network conditions, and carefully calibrates the model according to the widely accepted perceptual objective listening quality assessment (POLQA) voice assessment standard. We implement a light-load CrowdMi Client App in Android smartphones, which automatically collects data through user crowdsourcing and outputs to the CrowdMi Server in our data center that runs the mining algorithm. We conduct a pilot trial in VoLTE network in different geographical areas and network coverages. The trial shows that the CrowdMi does not require any additional hardware or human effort, and has very high model accuracy and strong diagnosability.
Bacteria Foraging Optimization based synthesis of Concentric Circular Antenna Array

In this paper, optimal designs of three-ring Concentric Circular Antenna Arrays (CCAA) without and with central element feeding are reported. For each optimal design, optimal current excitation weights and optimal radii are determined having the objective of maximum Sidelobe Level (SLL) reduction. The optimization technique adopted is Bacteria Foraging Optimization (BFO). The extensive computational results show that the CCAA having central element feeding yield much more reduction in SLL as compared to the same not having central element feeding. Moreover, the particular CCAA containing 4, 6 and 8 number of elements in three successive rings along with central element feeding yields grand minimum SLL (-36.14 dB).
Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

Online social networks are an important setting for understanding the intersection of online communities and offline political processes. This paper analyzes the different ways that people discuss elections on Twitter. Using data from a random sample totaling 113,985 tweets and 30,995 users, we examine the differences between users who employ various strategies to talk about US 2010 Congressional candidates. We show that users who simply include the text of a candidate's name in a message exhibit different behaviors than those who use platform-specific mechanisms. Users who employ free-text tend to have younger accounts, are less likely to be ‘verified’, and generate fewer messages about candidates. Furthermore, candidates’ share of the free-text Twitter public has a larger correlation with their vote tallies than @mentions or hashtags. This research has methodological implications for studying the dynamics between online discourse and offline behavior. Overall, our findings support the view that forms of communication that are more accessible are more indicative of broader social trends.
Robust Regression and its Application in Financial Data Analysis

— This research is aimed to describe the application of robust regression and its advantages over the least square regression method in analyzing financial data. To do this, relationship between earning per share, book value of equity per share and share price as price model and earning per share, annual change of earning per share and return of stock as return model is discussed using both robust and least square regressions, and finally the outcomes are compared. Comparing the results from the robust regression and the least square regression shows that the former can provide the possibility of a better and more realistic analysis owing to eliminating or reducing the contribution of outliers and influential data. Therefore, robust regression is recommended for getting more precise results in financial data analysis. are the observations concomitant of high error residual [11]. The error volume is equal to the difference between the observed quantity and the predicted quantity for ith observation. This can be derived from:
HOW MUCH LEARNING IS SUFFICIENT IN INTERFERENCE GAMES ?

This paper studies the learning behavior of self-interested users interacting in a two-user OR-channel interference game. We discuss how a strategic user should learn the behavior of its opponent, adapt its actions, and improve its own performance. Specifically, we investigate the tradeoff that can be made by a user between learning duration and performance, if the opponent plays a mixed strategy. First, we assume a stationary opponent and we apply optimization theory and large deviations theory to analytically derive an upper bound of the minimum training required by the user given the tolerable performance loss and outage probability. Next, we extend the results to the cases, where an adaptive opponent plays a conditional strategy based on its bounded memory. By solving linear programs, we design optimized learning strategies that minimize an upper bound of the duration of learning against the adaptive opponent.
Low-complexity signal processing for ISI channels

We present-a low-complexity soft detection and soft decoding magnetic disk drive read channel with a modified soft-output signal space detector (S/sup 3/D) which uses 3D-110 equalization and an error/erasure decoding Reed Solomon (RS) code. The detector determines max-log reliability information for intersymbol interference (ISI) channels with stationary white and colored noise. It can be implemented with only little additional hardware compared to the ordinary signal space detector. The erasures of the RS code are determined by the soft information and by an additional inner error detecting code (EDC) which is matched to the error patterns of the S/sup 3/D. The proposed system permits an improvement of the decoding performance in practical hard disk applications.
I-CAB: the Italian Content Annotation Bank

In this paper we present work in progress for the creation of the Italian Content Annotation Bank (I-CAB), a corpus of Italian news annotated with semantic information at different levels. The first level is represented by temporal expressions, the second level is represented by different types of entities (i.e. person, organizations, locations and geo-political entities), and the third level is represented by relations between entities (e.g. the affiliation relation connecting a person to an organization). So far I-CAB has been manually annotated with temporal expressions, person entities and organization entities. As we intend I-CAB to become a benchmark for various automatic Information Extraction tasks, we followed a policy of reusing already available markup languages. In particular, we adopted the annotation schemes developed for the ACE Entity Detection and Time Expressions Recognition and Normalization tasks. As the ACE guidelines have originally been developed for English, part of the effort consisted in adapting them to the specific morpho-syntactic features of Italian. Finally, we have extended them to include a wider range of entities, such as conjunctions.
Neural Basis of Anhedonia and Amotivation in Patients with Schizophrenia: The role of Reward System

Anhedonia, the inability to feel pleasure, and amotivation, the lack of motivation, are two prominent negative symptoms of schizophrenia, which contribute to the poor social and occupational behaviors in the patients. Recently growing evidence shows that anhedonia and amotivation are tied together, but have distinct neural correlates. It is important to note that both of these symptoms may derive from deficient functioning of the reward network. A further analysis into the neuroimaging findings of schizophrenia shows that the neural correlates overlap in the reward network including the ventral striatum, anterior cingulate cortex and orbitofrontal cortex. Other neuroimaging studies have demonstrated the involvement of the default mode network in anhedonia. The identification of a specific deficit in hedonic and motivational capacity may help to elucidate the mechanisms behind social functioning deficits in schizophrenia, and may also lead to more targeted treatment of negative symptoms.
From embedded test to embedded diagnosis

Testing integrated circuits with millions of transistors puts strong requirements on test volume, test application time, test speed, and test resolution. To overcome these challenges, it is widely accepted to partition test resources between the automatic test equipment (ATE) and the circuit under test (CUT). These strategies may reach from simple test data compression/decompression schemes to implementing a complete built-in self-test. Very often these schemes come with reduced diagnostic resolution. In this paper, an overview is given on techniques for embedding test into a circuit while still keeping diagnostic capabilities. Built-in diagnosis techniques may be used after manufacturing, for chip characterization and field return analysis, and even for rapid prototyping.
Psychology and hearing impairment: focussing on the people with the loss

Hearing loss has a wide range of repercussions which are easily overlooked. Lipreading is surrounded by psychological issues, involving phenomenology, individual differences, and its interaction with other processes which compete for the same mental resources. Profound loss affects speech production as well as speech reception. The changes which occur in speech production are awkward to describe in standard phonetic terms, yet they can be shown to affect listeners. Novel techniques, which describe the statistics of speech signals considered as acoustic waveforms, measure the abnormalities objectively, and have potentially widespread applications. Deafened people’s own accounts suggest that their loss leads to distinctive experiences which hearing people tend not to understand. Questionnaire and interview techniques confirm that these experiences are widespread, and predict the overall impact of hearing loss better than objecti ve, biomedical measures. As more hearing impaired people have accessed Higher E.
Anatomy of the Gynecomastia Tissue and Its Clinical Significance

Background: Gynecomastia is a very common entity in men, and several authors estimate that approximately 50% to 70% of the male population has palpable breast tissue. Much has been published with regard to the etiology, diagnosis, and treatment of gynecomastia. However, the anatomy of the gynecomastia tissue remains elusive to most surgeons. Purpose: The purpose of this article was to define the shape and consistency of the glandular tissue based on the vast experience of the senior author (MB). Patients and Methods: Between the years 1980 and 2014, a total of 5124 patients have been treated for gynecomastia with surgical excision, liposuction, or a combination of both. A total of 3130 specimens were collected with 5% of the cases being unilateral. Results: The specimens appear to have a unifying shape of a head, body, and tail. The head is semicircular in shape and is located more medially toward the sternum. The majority of the glandular tissue consists of a body located immediately deep to the nipple areolar complex. The tail appears to taper off of the body more laterally and toward the insertion of the pectoralis major muscle onto the humerus. Conclusions: This large series of gynecomastia specimens demonstrates a unique and unifying finding of a head, body, and tail. Understanding the anatomy of the gynecomastia gland can serve as a guide to gynecomastia surgeons to facilitate a more thorough exploration and subsequently sufficient gland excision.