Miracle-dz/UniFAR-FTUs huggingface dataset:
Higher tibial quantitative ultrasound in young female swimmers

Background: It has been found that swimming, a non-impact sport, generally has no effect on bone mineral density. Objectives: To examine bone properties, as measured by quantitative ultrasound, among female swimmers in comparison with control girls and women. Methods: Subjects included 61 swimmers and 71 controls aged 8.5 to 26.5 years. None of the swimmers was at the elite level and none had included resistance training in her schedule. Bone speed of sound (SOS) was measured bilaterally at the distal radius and the mid-tibia. Results: No differences were observed between swimmers and controls in body mass (mean (SD): 49.7 (12.3) v 50.7 (12.4) kg, respectively), although swimmers were taller (159 (12) v 155 (12) cm) and had lower body fat (18.3 (4.2)% v 22.3 (5.4)%). No difference was found in time since menarche (5.2 (4.0) and 4.5 (2.9) years in swimmers and controls, respectively; 21 swimmers and 25 control were premenarcheal). Radial speed of sound (SOS) increased with age but did not differ between swimmers and controls (non-dominant: 3904 (172) and 3889 (165) m/s for swimmers and controls, respectively). Tibial SOS also increased with age and was significantly higher in swimmers than in controls (non-dominant: 3774 (155) v 3712 (171) m/s). No differences were found between dominant and non-dominant sides. Conclusions: Swimming appears to be associated with higher bone SOS in the lower but not in the upper extremities. Further studies are needed to assess whether this difference reflects higher habitual activity among the swimmers or swimming specific mechanisms.
Transmission genetics of mitochondria and chloroplasts.

ORGANELLE GENOME STRUCTURE AND FUNCTION . GENOME PACKAGING: POPULATIONS WITHIN POPULATIONS . INTRACELLULAR POPULATION GENETICS: INPUT EFFECTS AND BIAS . Input Effects in Yeast . Chlamydomonas: Two Copies or Many? Other Systems . INTRACELLULAR POPULATION GENETICS: RECOMBINATION . yeast . Chlamydomonas . Other Systems . INTRACELLULAR POPULATION GENETICS: RANDOM DRIFT . Random Drift of Gene Frequencies due to SMA G. Random Drift of Gene Frequencies due to Random Replication of DNA Molecules . VEGETATIVE SEGREGATION . Vegetative Segregation as a General Law of Organelle Genetics . Hypothetical Models for Vegetative Segregation . Testing the Models . UNIPARENTAL INHERITANCE . Uniparental Inheritance as a General Law of Organelle Genetics . Mechanisms of Uniparental Inheritance . STATUS OF THE FIELD AND FUTURE DIRECTIONS . +3147
Resource allocation for NOMA downlink systems: Genetic algorithm approach

Non-orthogonal multiple access (NOMA) is one of the key technologies for 5G, where the system capacity can be increased by allowing simultaneous transmission of multiple users at the same radio resource. In this paper, we propose a genetic algorithm (GA) based multi-user radio resource allocation scheme for NOMA downlink systems. In our set-up, GA is used to determine the user groups to simultaneously transmit their signals at the same time and frequency resource while the optimal transmission power level is assigned to each user to maximize the geometric mean of user throughputs. The simulation results show that the GA based approach is a powerful heuristic to quickly converge to the target solution which balances the tradeoff between total system throughput and fairness among users.
Inferring Human Activity Recognition with Ambient Sound on Wireless Sensor Nodes

A wireless sensor network that consists of nodes with a sound sensor can be used to obtain context awareness in home environments. However, the limited processing power of wireless nodes offers a challenge when extracting features from the signal, and subsequently, classifying the source. Although multiple papers can be found on different methods of sound classification, none of these are aimed at limited hardware or take the efficiency of the algorithms into account. In this paper, we compare and evaluate several classification methods on a real sensor platform using different feature types and classifiers, in order to find an approach that results in a good classifier that can run on limited hardware. To be as realistic as possible, we trained our classifiers using sound waves from many different sources. We conclude that despite the fact that the classifiers are often of low quality due to the highly restricted hardware resources, sufficient performance can be achieved when (1) the window length for our classifiers is increased, and (2) if we apply a two-step approach that uses a refined classification after a global classification has been performed.
Comparison of Two Techniques of Robot-Aided Upper Limb Exercise Training After Stroke

Stein J, Krebs HI, Frontera WR, Fasoli SE, Hughes R, Hogan N: Comparison of two techniques of robot-aided upper limb exercise training after stroke. Am J Phys Med Rehabil 2004;83:720–728. Objective:This study examined whether incorporating progressive resistive training into robot-aided exercise training provides incremental benefits over active-assisted robot-aided exercise for the upper limb after stroke. Design:A total of 47 individuals at least 1 yr poststroke were enrolled in this 6-wk training protocol. Paretic upper limb motor abilities were evaluated using clinical measures and a robot-based assessment to determine eligibility for robot-aided progressive resistive training at study entry. Subjects capable of participating in resistance training were randomized to receive either active-assisted robot-aided exercises or robot-aided progressive resistance training. Subjects who were incapable of participating in resistance training underwent active-assisted robotic therapy and were again screened for eligibility after 3 wks of robotic therapy. Those subjects capable of participating in resistance training at 3 wks were then randomized to receive either robot-aided resistance training or to continue with robot-aided active-assisted training. Results:One subject withdrew due to unrelated medical issues, and data for the remaining 46 subjects were analyzed. Subjects in all groups showed improvement in measures of motor control (mean increase in Fugl-Meyer of 3.3; 95% confidence interval, 2.2–4.4) and maximal force (mean increase in maximal force of 3.5 N, P = 0.027) over the course of robot-aided exercise training. No differences in outcome measures were observed between the resistance training groups and the matched active-assisted training groups. Subjects’ ability to perform the robotic task at the time of group assignment predicted the magnitude of the gain in motor control. Conclusion:The incorporation of robot-aided progressive resistance exercises into a program of robot-aided exercise did not favorably or negatively affect the gains in motor control or strength associated with this training, though interpretation of these results is limited by sample size. Individuals with better motor control at baseline experienced greater increases in motor control with robotic training.
A Store-operated Calcium Channel in Drosophila S2 Cells

Using whole-cell recording in Drosophila S2 cells, we characterized a Ca2+-selective current that is activated by depletion of intracellular Ca2+ stores. Passive store depletion with a Ca2+-free pipette solution containing 12 mM BAPTA activated an inwardly rectifying Ca2+ current with a reversal potential >60 mV. Inward currents developed with a delay and reached a maximum of 20–50 pA at −110 mV. This current doubled in amplitude upon increasing external Ca2+ from 2 to 20 mM and was not affected by substitution of choline for Na+. A pipette solution containing ∼300 nM free Ca2+ and 10 mM EGTA prevented spontaneous activation, but Ca2+ current activated promptly upon application of ionomycin or thapsigargin, or during dialysis with IP3. Isotonic substitution of 20 mM Ca2+ by test divalent cations revealed a selectivity sequence of Ba2+ > Sr2+ > Ca2+ >> Mg2+. Ba2+ and Sr2+ currents inactivated within seconds of exposure to zero-Ca2+ solution at a holding potential of 10 mV. Inactivation of Ba2+ and Sr2+ currents showed recovery during strong hyperpolarizing pulses. Noise analysis provided an estimate of unitary conductance values in 20 mM Ca2+ and Ba2+ of 36 and 420 fS, respectively. Upon removal of all external divalent ions, a transient monovalent current exhibited strong selectivity for Na+ over Cs+. The Ca2+ current was completely and reversibly blocked by Gd3+, with an IC50 value of ∼50 nM, and was also blocked by 20 μM SKF 96365 and by 20 μM 2-APB. At concentrations between 5 and 14 μM, application of 2-APB increased the magnitude of Ca2+ currents. We conclude that S2 cells express store-operated Ca2+ channels with many of the same biophysical characteristics as CRAC channels in mammalian cells.
Exploiting Background Knowledge to Build Reference Sets for Information Extraction

Previous work on information extraction from unstructured, ungrammatical text (e.g. classified ads) showed that exploiting a set of background knowledge, called a "reference set," greatly improves the precision and recall of the extractions. However, finding a source for this reference set is often difficult, if not impossible. Further, even if a source is found, it might not overlap well with the text for extraction. In this paper we present an approach to building the reference set directly from the text itself. Our approach eliminates the need to find the source for the reference set, and ensures better overlap between the text and reference set. Starting with a small amount of background knowledge, our technique constructs tuples representing the entities in the text to form a reference set. Our results show that our method outperforms manually constructed reference sets, since hand built reference sets may not overlap with the entities in the unstructured, ungrammatical text. We also ran experiments comparing our method to the supervised approach of Conditional Random Fields (CRFs) using simple, generic features. These results show our method achieves an improvement in F1-measure for 6/9 attributes and is competitive in performance on the others, and this is without training data.
Arthritic Joint-Targeting Small Interfering RNA-Encapsulated Liposome: Implication for Treatment Strategy for Rheumatoid Arthritis

RNA interference, mediated by small interfering RNA (siRNA), is effective in silencing genes with a high degree of specificity. To explore the therapeutic potential of systemically administered siRNA for rheumatoid arthritis (RA), we tested the complex of siRNA and the recently developed wrapsome (siRNA/WS) containing siRNA-encapsulated liposome in mice with collagen-induced arthritis (CIA). Mice with CIA received an intravenous injection of Cy5-labeled siRNA/WS. Fluorescence stereoscopic microscopy and flow cytometry were used to assess the siRNA/WS tissue distribution. The efficacy of siRNA-targeting tumor necrosis factor (TNF)-α/WS in CIA was evaluated by arthritis score. TNF-α mRNA levels in the joints were measured by real-time reverse transcriptase-polymerase chain reaction. The intensity of Cy5 fluorescence was higher in arthritic joints than in nonarthritic sites in Cy5-siRNA/WS-treated mice and remained higher up to 48 h after injection, compared with that in naked Cy5-siRNA-treated mice. Cy5 fluorescence intensity was higher in synovial cells than in splenocytes, bone marrow cells, and peripheral blood leukocytes. The majority of Cy5-positive synovial cells were CD11b+ with only a few CD3+ cells. Treatment with TNF-α siRNA/WS resulted in significant decreases in severity of arthritis and TNF-α mRNA level in the joints compared with control siRNA/WS. In conclusion, the use of our WS allowed efficient and targeted delivery of siRNAs to arthritic joints. The siRNA/WS was mainly incorporated into CD11b+ cells, including macrophages and neutrophils, in the inflamed synovium, suggesting its potential therapeutic effects in RA by silencing the expression of inflammatory molecules produced by these cells.
A method for behavior modeling in data oriented approach to systems design

Behavior analysis and modeling of entities is discussed as one of practical methods for data oriented approach to systems design. For this purpose, the notions of normalization and abstraction of entities are introduced to refine conceptual Schemas in the framework of the ER(Entity-Relationship) model. Behavior of entities, which is defined as a set of states and transactions that bring about state transitions, is analyzed and modeled using the ER model and diagrammatic techniques of Petri Nets. A formalization of behavior description, together with the notion of transaction normalization, is also proposed. Based on the behavior modeling, an idea for data oriented approach to information systems design is discussed.
Novel highly scalable multi-level cell for STT-MRAM with stacked perpendicular MTJs

We fabricated a new scalable multi-level cell for spin transfer torque magnetoresistive random-access memory that consists of stacked perpendicular magnetic tunnel junctions (MTJs) with a diameter of 50nm using one step etching. The cell features series-connecting MTJs using perpendicular magnetic anisotropy at the CoFeB/MgO interface and a well controlled stray field from the pinned layers resulting in Hshift~0. The cell demonstrated four-level operation with low-voltage switching (<; 0.5 V).
Lexical acquisition in progressive aphasia and frontotemporal dementia

We investigated the characteristics of language difficulty in frontotemporal dementia (FTD) by exposing these patients to a new verb in a naturalistic manner and then assessing acquisition of the grammatical, semantic, and thematic matrix information associated with the new word. We found that FTD patients have difficulty relative to healthy seniors in their acquisition of the new verb, but that progressive nonfluent aphasia (PNFA), semantic dementia (SD), and social/dysexecutive variant (SOC/EXEC) subgroups of FTD demonstrate relatively distinct impairment profiles. Specifically, PNFA patients showed relative difficulty assigning the new verb to its correct grammatical form class, reflecting compromised processing of the associated grammatical information. SD patients were impaired at associating the new word with its pictorial representation, suggesting impaired processing of the new verb's semantic attributes. SOC/EXEC patients showed their greatest difficulty judging violations of the new word's associated thematic roles, implying that limited executive resources underlie in part the difficulty in integrating grammatical and semantic information into a coherent thematic matrix. Similar impairment profiles were seen during a follow-up session one week after the initial evaluation. These deficits in lexical acquisition reflect the breakdown of a language-processing system that consists of highly interactive but partially dissociable grammatical, semantic, and resource-based components, leading to relatively distinct language-processing deficits in each subgroup of patients with FTD.
A Tree-Based Context Model for Object Recognition

There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context model can rule out some unlikely combinations or locations of objects and guide detectors to produce a semantically coherent interpretation of a scene. However, the performance benefit of context models has been limited because most of the previous methods were tested on data sets with only a few object categories, in which most images contain one or two object categories. In this paper, we introduce a new data set with images that contain many instances of different object categories, and propose an efficient model that captures the contextual information among more than a hundred object categories using a tree structure. Our model incorporates global image features, dependencies between object categories, and outputs of local detectors into one probabilistic framework. We demonstrate that our context model improves object recognition performance and provides a coherent interpretation of a scene, which enables a reliable image querying system by multiple object categories. In addition, our model can be applied to scene understanding tasks that local detectors alone cannot solve, such as detecting objects out of context or querying for the most typical and the least typical scenes in a data set.
The canine epiphyseal-derived mesenchymal stem cells are comparable to bone marrow derived-mesenchymal stem cells

Mesenchymal stem cells (MSCs) hold great potential in cell therapy and have attracted increasing interests in a wide range of biomedical sciences. However, the scarcity of MSCs and the prolonged isolation procedure limited the clinical application. To address these 2 issues, we developed a method to isolate MSCs from bone biopsy tissues of euthanized canine body donors. Compared to the traditional method to isolate MSCs from aspirated bone marrow (BMSCs), the isolation procedure for MSCs from harvested epiphyseal cancellous bone (EMSCs) was less time-consuming. The isolated EMSCs had similar plastic-adherence, tri-lineage differentiation and consistent surface marker profiles compared to BMSCs. We harvested BMSCs and EMSCs from 24 euthanized cases from clinics and 42 euthanized donors from a local shelter. The successful rate for EMSC isolation is significantly higher compared to BMSC isolation, while the other properties of the isolated MSCs including the clonogenicity, proliferative potentials and molecular phenotypes were not discernibly different between the MSCs established by the two methods. In conclusion, we demonstrated a new procedure to harvest MSCs by bone biopsy at the epiphyseal region. This method is less time consuming and more reliable, and the resulting MSCs are comparable to those harvested by bone marrow aspiration. The combination of the two methods can greatly improve the efficiency to harvest MSCs.
Financial Distress and Its Associations With Physical and Emotional Symptoms and Quality of Life Among Advanced Cancer Patients.

OBJECTIVE There are limited data on the effects of financial distress (FD) on overall suffering and quality of life (QOL) of patients with advanced cancer (AdCa). In this cross-sectional study, we examined the frequency of FD and its correlates in AdCa. PATIENTS AND METHODS We interviewed 149 patients, 77 at a comprehensive cancer center (CCC) and 72 at a general public hospital (GPH). AdCa completed a self-rated FD (subjective experience of distress attributed to financial problems) numeric rating scale (0 = best, 10 = worst) and validated questionnaires assessing symptoms (Edmonton Symptom Assessment System [ESAS]), psychosocial distress (Hospital Anxiety and Depression Scale [HADS]), and QOL (Functional Assessment of Cancer Therapy-General [FACT-G]). RESULTS The patients' median age was 60 years (95% confidence interval [CI]: 58.6-61.5 years); 74 (50%) were female; 48 of 77 at CCC (62%) versus 13 of 72 at GPH (18%) were white; 21 of 77 (27%) versus 32 of 72 (38%) at CCC and GPH, respectively, were black; and 7 of 77 (9%) versus 27 of 72 (38%) at CCC and GPH, respectively, were Hispanic (p < .0001). FD was present in 65 of 75 at CCC (86%; 95% CI: 76%-93%) versus 65 of 72 at GPH (90%; 95% CI: 81%-96%; p = .45). The median intensity of FD at CCC and GPH was 4 (interquartile range [IQR]: 1-7) versus 8 (IQR: 3-10), respectively (p = .0003). FD was reported as more severe than physical distress, distress about physical functioning, social/family distress, and emotional distress by 45 (30%), 46 (31%), 64 (43%), and 55 (37%) AdCa, respectively (all significantly worse for patients at GPH) (p < .05). AdCa reported that FD was affecting their general well-being (0 = not at all, 10 = very much) with a median score of 5 (IQR: 1-8). FD correlated (Spearman correlation) with FACT-G (r = -0.23, p = .0057); HADS-anxiety (r = .27, p = .0014), ESAS-anxiety (r = .2, p = .0151), and ESAS-depression (r = .18, p = .0336). CONCLUSION FD was very frequent in both groups, but median intensity was double among GPH patients. More than 30% of AdCa rated FD to be more severe than physical, family, and emotional distress. More research is needed to better characterize FD and its correlates in AdCa and possible interventions. IMPLICATIONS FOR PRACTICE Financial distress is an important and common factor contributing to the suffering of advanced cancer patients and their caregivers. It should be suspected in patients with persistent, refractory symptom expression. Early identification, measurement, and documentation will allow clinical teams to develop interventions to improve financial distress and its impact on quality of life of advanced cancer patients.
Ref-1/APE1 as a Transcriptional Regulator and Novel Therapeutic Target in Pediatric T-cell Leukemia

The increasing characterization of childhood acute lymphoblastic leukemia (ALL) has led to the identification of multiple molecular targets but has yet to translate into more effective targeted therapies, particularly for high-risk, relapsed T-cell ALL. Searching for master regulators controlling multiple signaling pathways in T-ALL, we investigated the multifunctional protein redox factor-1 (Ref-1/APE1), which acts as a signaling “node” by exerting redox regulatory control of transcription factors important in leukemia. Leukemia patients' transcriptome databases showed increased expression in T-ALL of Ref-1 and other genes of the Ref-1/SET interactome. Validation studies demonstrated that Ref-1 is expressed in high-risk leukemia T cells, including in patient biopsies. Ref-1 redox function is active in leukemia T cells, regulating the Ref-1 target NF-κB, and inhibited by the redox-selective Ref-1 inhibitor E3330. Ref-1 expression is not regulated by Notch signaling, but is upregulated by glucocorticoid treatment. E3330 disrupted Ref-1 redox activity in functional studies and resulted in marked inhibition of leukemia cell viability, including T-ALL lines representing different genotypes and risk groups. Potent leukemia cell inhibition was seen in primary cells from ALL patients, relapsed and glucocorticoid-resistant T-ALL cells, and cells from a murine model of Notch-induced leukemia. Ref-1 redox inhibition triggered leukemia cell apoptosis and downregulation of survival genes regulated by Ref-1 targets. For the first time, this work identifies Ref-1 as a novel molecular effector in T-ALL and demonstrates that Ref-1 redox inhibition results in potent inhibition of leukemia T cells, including relapsed T-ALL. These data also support E3330 as a specific Ref-1 small-molecule inhibitor for leukemia. Mol Cancer Ther; 16(7); 1401–11. ©2017 AACR.
Pregabalin: Its Pharmacology and Use in Pain Management

Pregabalin is a new synthetic molecule and a structural derivative of the inhibitory neurotransmitter &ggr;-aminobutyric acid. It is an &agr;2-&dgr; (&agr;2-&dgr;) ligand that has analgesic, anticonvulsant, anxiolytic, and sleep-modulating activities. Pregabalin binds potently to the &agr;2-&dgr; subunit of calcium channels, resulting in a reduction in the release of several neurotransmitters, including glutamate, noradrenaline, serotonin, dopamine, and substance P. In this review, I will discuss the pharmacology of pregabalin and available efficacy studies in pain management. This review will focus on the advances in pregabalin pharmacology since my previous review in 2005.