Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary evaluation of a new control approach to achieve speed adaptation in robotic transfemoral prostheses

Robotic prostheses can improve walking ability in persons with transfemoral amputations by closely matching kinetics and kinematics of the intact leg during walking. However, achieving this goal requires the prosthesis to adapt to walking speed, a function that no powered transfemoral prosthesis has yet achieved. In this paper, we present, and perform initial testing on a new control framework that allows biologically accurate leg function at varying walking speeds, without the need for tuning. The proposed framework comprises two novel controllers that rely on quasi-stiffness modulation in stance phase and minimum jerk trajectory in swing phase. Preliminary testing was conducted in an able-bodied subject using a bypass adapter to walk on a robotic prosthesis at five different walking speeds (from 0.62 to 1.16 m/s). Experimental results demonstrated the ability of the proposed controller to approximate intact leg function at different walking speeds.
Posttranscriptional control of airway inflammation

Acute inflammation in the lungs is a vital protective response, efficiently and swiftly eliminating inciters of tissue injury. However, in respiratory diseases characterized by chronic inflammation, such as chronic obstructive pulmonary disease and asthma, enhanced expression of inflammatory mediators leads to tissue damage and impaired lung function. Although transcription is an essential first step in the induction of proinflammatory genes, tight regulation of inflammation requires more rapid, flexible responses. Increasing evidence shows that such responses are achieved by posttranscriptional mechanisms directly affecting mRNA stability and translation initiation. RNA‐binding proteins, microRNAs, and long noncoding RNAs interact with messenger RNA and each other to impact the stability and/or translation of mRNAs implicated in lung inflammation. Recent research has shown that these biological processes play a central role in the pathogenesis of several important pulmonary conditions. This review will highlight several posttranscriptional control mechanisms that influence lung inflammation and the known associations of derangements in these mechanisms with common respiratory diseases. WIREs RNA 2018, 9:e1455. doi: 10.1002/wrna.1455
Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene.

BACKGROUND Melanocortin 4 receptor (MC4R) deficiency is the commonest monogenic form of obesity. However, the clinical spectrum and mode of inheritance have not been defined, pathophysiological mechanisms leading to obesity are poorly understood, and there is little information regarding genotype-phenotype correlations. METHODS We determined the nucleotide sequence of the MC4R gene in 500 probands with severe childhood obesity. Family studies were undertaken to examine cosegregation of identified mutations with obesity. Subjects with MC4R deficiency underwent metabolic and endocrine evaluation; the results were correlated with the signaling properties of mutant receptors. RESULTS Twenty-nine probands (5.8 percent) had mutations in MC4R; 23 were heterozygous, and 6 were homozygous. Mutation carriers had severe obesity, increased lean mass, increased linear growth, hyperphagia, and severe hyperinsulinemia; homozygotes were more severely affected than heterozygotes. Subjects with mutations retaining residual signaling capacity had a less severe phenotype. CONCLUSIONS Mutations in MC4R result in a distinct obesity syndrome that is inherited in a codominant manner. Mutations leading to complete loss of function are associated with a more severe phenotype. The correlation between the signaling properties of these mutant receptors and energy intake emphasizes the key role of this receptor in the control of eating behavior in humans.
Poverty, Non-White Poverty, and the Sen Index

This paper investigates the impact of economic growth, and more specifically robust economic growth along with other macroeconomic determinants, on poverty levels using both the U.S. official measure of poverty and an estimated time series of Sen indices of poverty. The results reveal that the period of robust economic expansion that the U.S. economy experienced during the 1990s did not have a significant impact on poverty using either measure. In addition, we find that the impact of growth and other macro controls is dramatically different when a subset of the poverty population, namely non-white poverty, is investigated. The percentage of households headed by women is shown to be a significant factor in examining poverty for this subgroup.
Certain Answers Meet Zero-One Laws

Query answering over incomplete data invariably relies on the standard notion of certain answers which gives a very coarse classification of query answers into those that are certain and those that are not. Here we propose to refine it by measuring how close an answer is certainty. This measure is defined as the probability that the query is true under a random interpretation of missing information in a database. Since there are infinitely many such interpretations, to pick one at random we adopt the approach used in the study of asymptotic properties and 0-1 laws for logical sentences, and define the measure as the limit of a sequence. We show that in the standard model of missing data, the 0-1 law is observed: this limit always exists and can be only 0 or 1 for a very large class of queries. Thus, query answers are either almost certainly true, or almost certainly false. We prove that almost certainly true answers are precisely those returned by the naive evaluation of the query. When databases satisfy constraints, the measure is defined as the conditional probability of the query being true if the constraints are true. This too is defined as a limit, and we prove that it always exists, can be an arbitrary rational number, and is computable. For some constraints, such as functional dependencies, the 0-1 law continues to hold. As another refinement of the notion of certainty, we introduce a comparison of query answers: an answer with a larger set of interpretations that make it true is better. We identify the precise complexity of such comparisons, and of finding sets of best answers, for first-order queries.
Living and Working in Ethnic Enclaves: Language Proficiency of Immigrants in U.S. Metropolitan Areas

Learning English is a potentially profitable investment for immigrants in the U.S.: while there are initial costs, the subsequent benefits include the ability to communicate with the majority of the population, potentially leading to better paying jobs and economic success in the new country. These payoffs are lessened if immigrants choose to live and work in ethnic enclaves where the necessity to communicate in English is weak. Ethnic enclaves are widespread and persistent in the U.S. This study uses data from the 2010 American Community Survey to examine the impact of residential and occupational segregation on immigrants' ability to speak English. We allow for heterogeneity in the relationship between segregation and English language proficiency across ethnic groups and focus specifically on Mexican and Chinese immigrants. Our results show that immigrants in the U.S. who live and work among high concentrations of their countrymen are less likely to be proficient in English than those who are less residentially and occupationally segregated. The magnitude of the effect of segregation on language proficiency varies across immigrants' birthplaces and other salient characteristics defining the immigration context.
Scheduling a two-stage no-wait hybrid flowshop with separated setup and removal times

This paper studies the two-stage no-wait hybrid flowshop scheduling problem where one of the two stages consists of several identical parallel machines and the setup and removal times of each job at each stage are separated from the processing time. In view of the NP-complete of this problem, heuristic algorithms regarding sequencing and assigning of jobs to each stage as independent procedure are proposed. Two theorems are also proposed for sequencing job procedure. Computational experience demonstrates the effectiveness of the heuristic algorithm including the proposed theorems in finding a near optimal schedule.
Introducing i-vectors for joint anti-spoofing and speaker verification

Any biometric recognizer is vulnerable to direct spoofing attacks and automatic speaker verification (ASV) is no exception; replay, synthesis and conversion attacks all provoke false acceptances unless countermeasures are used. We focus on voice conversion (VC) attacks. Most existing countermeasures use full knowledge of a particular VC system to detect spoofing. We study a potentially more universal approach involving generative modeling perspective. Specifically, we adopt standard ivector representation and probabilistic linear discriminant analysis (PLDA) back-end for joint operation of spoofing attack detector and ASV system. As a proof of concept, we study a vocoder-mismatched ASV and VC attack detection approach on the NIST 2006 speaker recognition evaluation corpus. We report stand-alone accuracy of both the ASV and countermeasure systems as well as their combination using score fusion and joint approach. The method holds promise. Index Terms: speaker recognition, spoofing, voice conversion attack, i-vector, joint verification and anti-spoofing
Effects of a computer-supported interactive tailored patient assessment tool on patient care, symptom distress, and patients' need for symptom management support: a randomized clinical trial

OBJECTIVE To examine the effects of a computer-assisted, interactive tailored patient assessment (ITPA) tool in oncology practice on: documented patient care, symptom distress, and patients' need for symptom management support during treatment and rehabilitation. DESIGN AND METHODS For this repeated measures clinical trial at a university hospital in Norway, 145 patients starting treatment for leukemia or lymphoma were randomly assigned to either an intervention (n=75) or control group (n=70). Both groups used the ITPA for symptom assessments prior to inpatient and outpatient visits for up to one year. The assessment summary, which displayed patients' self-reported symptoms, problems, and distress in rank-order of the patient's need for support, was provided to physicians and nurses in the intervention group only but not in the control group. RESULTS Significantly more symptoms were addressed in the intervention group patient charts versus those of the control group. Symptom distress in the intervention group decreased significantly over time in 11 (58%) of 19 symptom/problem categories versus 2 (10%) for the control group. Need for symptom management support over time also decreased significantly more for the intervention group than the control group in 13 (68%) symptom categories. CONCLUSION This is the first study to show that an ITPA used in an interdisciplinary oncology practice can significantly improve patient-centered care and patient outcomes, including reduced symptom distress and reduced need for symptom management support.
Nucleolin Interacts with the Feline Calicivirus 3′ Untranslated Region and the Protease-Polymerase NS6 and NS7 Proteins, Playing a Role in Virus Replication

ABSTRACT Cellular proteins play many important roles during the life cycle of all viruses. Specifically, host cell nucleic acid-binding proteins interact with viral components of positive-stranded RNA viruses and regulate viral translation, as well as RNA replication. Here, we report that nucleolin, a ubiquitous multifunctional nucleolar shuttling phosphoprotein, interacts with the Norwalk virus and feline calicivirus (FCV) genomic 3′ untranslated regions (UTRs). Nucleolin can also form a complex in vitro with recombinant Norwalk virus NS6 and -7 (NS6/7) and can be copurified with the analogous protein from feline calicivirus (p76 or NS6/7) from infected feline kidney cells. Nucleolin RNA levels or protein were not modified during FCV infection; however, as a consequence of the infection, nucleolin was seen to relocalize from the nucleoli to the nucleoplasm, as well as to the perinuclear area where it colocalizes with the feline calicivirus NS6/7 protein. In addition, antibodies to nucleolin were able to precipitate viral RNA from feline calicivirus-infected cells, indicating a direct or indirect association of nucleolin with the viral RNA during virus replication. Small interfering RNA (siRNA)-mediated knockdown of nucleolin resulted in a reduction of the cytopathic effect and virus yield in CrFK cells. Taken together, these results demonstrate that nucleolin is a nucleolar component that interacts with viral RNA and NS6/7 and is required for feline calicivirus replication.
When the Direct Electrical Cortical Stimulation Failed: A Case Report

Direct electrical cortical stimulation is often considered the “gold standard” to identify motor or other eloquent cortices during surgical procedures. However, this method sometimes fails or is insufficient by itself, and the use of other methods can be very helpful in reducing post-operative morbidity. We report the case of a 28-year-old patient who was considered for surgical resection of epileptic focus due to intractable seizure. During surgery both direct electrical stimulation and cortical somatosensory evoked potentials failed to identify the motor and sensory areas for unclear reasons. The surgical plan for resection of his seizure focus was aborted because of its anatomical proximity to the motor strip. Postoperatively, fMRI was performed revealing motor activation at the pre and post central sulcus, which was used as a guide to a successful repeat intraoperative cortical stimulation and resection of the epileptic focus. Functional MRI is a useful tool for identifying motor or other eloquent cortices. During pre-operative planning of neurosurgical procedures involving cortical regions adjacent to eloquent cortex, the use of a multimodal approach can greatly improve accuracy and decrease the risk of post-operative deficits. doi:10.4021/jnr104e
Core–Shell Structure of Monodisperse Poly(ethylene glycol)-Grafted Iron Oxide Nanoparticles Studied by Small-Angle X-ray Scattering

The promising applications of core–shell nanoparticles in the biological and medical field have been well investigated in recent years. One remaining challenge is the characterization of the structure of the hydrated polymer shell. Here we use small-angle X-ray scattering (SAXS) to investigate iron oxide core–poly(ethylene glycol) brush shell nanoparticles with extremely high polymer grafting density. It is shown that the shell density profile can be described by a scaling model that takes into account the locally very high grafting density near the core. A good fit to a constant density region followed by a star-polymer-like, monotonously decaying density profile is shown, which could help explain the unique colloidal properties of such densely grafted core–shell nanoparticles. SAXS experiments probing the thermally induced dehydration of the shell and the response to dilution confirmed that the observed features are associated with the brush and not attributed to structure factors from particle aggregates. We thereby demonstrate that the structure of monodisperse core–shell nanoparticles with dense solvated shells can be well studied with SAXS and that different density models can be distinguished from each other.
AMP-activated Protein Kinase Mediates Carotid Body Excitation by Hypoxia*

Early detection of an O2 deficit in the bloodstream is essential to initiate corrective changes in the breathing pattern of mammals. Carotid bodies serve an essential role in this respect; their type I cells depolarize when O2 levels fall, causing voltage-gated Ca2+ entry. Subsequent neurosecretion elicits increased afferent chemosensory fiber discharge to induce appropriate changes in respiratory function (1). Although depolarization of type I cells by hypoxia is known to arise from K+ channel inhibition, the identity of the signaling pathway has been contested, and the coupling mechanism is unknown (2). We tested the hypothesis that AMP-activated protein kinase (AMPK) is the effector of hypoxic chemotransduction. AMPK is co-localized at the plasma membrane of type I cells with O2-sensitive K+ channels. In isolated type I cells, activation of AMPK using 5-aminoimidazole-4-carboxamide riboside (AICAR) inhibited O2-sensitive K+ currents (carried by large conductance Ca2+-activated (BKCa) channels and TASK (tandem pore, acid-sensing potassium channel)-like channels, leading to plasma membrane depolarization, Ca2+ influx, and increased chemosensory fiber discharge. Conversely, the AMPK antagonist compound C reversed the effects of hypoxia and AICAR on type I cell and carotid body activation. These results suggest that AMPK activation is both sufficient and necessary for the effects of hypoxia. Furthermore, AMPK activation inhibited currents carried by recombinant BKCa channels, whereas purified AMPK phosphorylated theα subunit of the channel in immunoprecipitates, an effect that was stimulated by AMP and inhibited by compound C. Our findings demonstrate a central role for AMPK in stimulus-response coupling by hypoxia and identify for the first time a link between metabolic stress and ion channel regulation in an O2-sensing system.
A Data Driven Framework for Real Time Power System Event Detection and Visualization

Increased adoption and deployment of phasor measurement units (PMU) has provided valuable fine-grained data over the grid. Analysis over these data can provide real-time insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data. This paper describes a PMU data management system that supports input from multiple PMU data streams, features an event-detection algorithm, and provides an efficient method for retrieving archival data. The event-detection algorithm rapidly correlates multiple PMU data streams, providing details on events occurring within the power system in real-time. The event-detection algorithm feeds into a visualization component, allowing operators to recognize events as they occur. The indexing and data retrieval mechanism facilitates fast access to archived PMU data. Using this method, we achieved over 30x speedup for queries with high selectivity. With the development of these two components, we have developed a system that allows efficient analysis of multiple time-aligned PMU data streams.
Protein abundances and interactions coevolve to promote functional complexes while suppressing non-specific binding

How do living cells achieve sufficient abundances of functional protein complexes while minimizing promiscuous non-functional interactions? Here we study this problem using a first-principle model of the cell whose phenotypic traits are directly determined from its genome through biophysical properties of protein structures and binding interactions in crowded cellular environment. The model cell includes three independent prototypical pathways, whose topologies of Protein-Protein Interaction (PPI) sub-networks are different, but whose contributions to the cell fitness are equal. Model cells evolve through genotypic mutations and phenotypic protein copy number variations. We found a strong relationship between evolved physical-chemical properties of protein interactions and their abundances due to a "frustration" effect: strengthening of functional interactions brings about hydrophobic interfaces, which make proteins prone to promiscuous binding. The balancing act is achieved by lowering concentrations of hub proteins while raising solubilities and abundances of functional monomers. Based on these principles we generated and analyzed a possible realization of the proteome-wide PPI network in yeast. In this simulation we found that high-throughput affinity capture - mass spectroscopy experiments can detect functional interactions with high fidelity only for high abundance proteins while missing most interactions for low abundance proteins.
Scattering of phonons on two-level systems in disordered crystals

We calculate the scattering rates of phonons on two-level systems in disordered trigonal and hexagonal crystals. We apply a model in which the two-level system, characterized by a direction in space, is coupled to the strain field of the phonon via a tensor of coupling constants. The structure of the tensor of coupling constants is similar to the structure of the tensor of elastic stiffness constants, in the sense that they are determined by the same symmetry transformations. In this way, we emphasize the anisotropy of the interaction of elastic waves with the ensemble of two-level systems in disordered crystals. We also point to the fact that the ratio γl/γt has a much broader range of allowed values in disordered crystals than in isotropic solids.
Aliasing and anti-aliasing in branch history table prediction

Branch history table (BHT) prediction is a simple and effective method of predicting branch direction at run-time in a microprocessor. Unfortunately, this method suffers from performance limitations due to aliasing, which is when more than one branch uses a single entry in the branch history table. Theoretically, for programs that exhibit pseudo-random branch positioning, aliasing can be predicted and reduced, thereby improving performance. In this paper, we develop a probabilistic model for aliasing and "anti-aliasing", and we use SimpleScalar to explore the extent to which "anti-aliasing" is useful in real programs. Our results show that programs can be "anti-aliased" to some extent when using history tables of 256 entries or greater, and that for large enough history tables, a significant percentage of table entries are unused and available for "anti-aliasing. "
A Comparative Study of Fixation Density Maps

—Fixation density maps (FDM) created from eye tracking experiments are widely used in image processing applications. The FDM are assumed to be reliable ground truths of human visual attention and as such one expects high similarity between FDM created in different laboratories. So far, no studies have analysed the degree of similarity between FDM from independent laboratories and the related impact on the applications. In this paper, we perform a thorough comparison of FDM from three independently conducted eye tracking experiments. We focus on the effect of presentation time and image content and evaluate the impact of the FDM differences on three applications: visual saliency modelling, image quality assessment, and image retargeting. It is shown that the FDM are very similar and that their impact on the applications is low. The individual experiment comparisons, however, are found to be signiﬁcantly different, showing that inter-laboratory differences strongly depend on the experimental conditions of the laboratories. The FDM are publicly available to the research community.
Term proximity in document retrieval systems

The Automated information retrieval has appeared with the huge production of documents stored digitally, it allows you to find documents relevant to a user query formulated by keywords. The use of the neighborhood words of query can improve the relevance of research. The proposed method of representation of the documents has the advantage of integrating the information in its model of the neighborhood of terms. We evaluated our approach in terms of research relevance also the time of indexing and research. The obtained results show a remarkable improvement in the relevance due to the use of the neighborhood of the terms, and this hasn't influence on the indexing and research time that stay so quick.