Miracle-dz/UniFAR-FTUs huggingface dataset:
Basal ganglia network by constrained spherical deconvolution: A possible cortico‐pallidal pathway?

In the recent past, basal ganglia circuitry was simplified as represented by the direct and indirect pathways and by hyperdirect pathways. Based on data from animal studies, we hypothesized a fourth pathway, the cortico‐pallidal, pathway, that complements the hyperdirect pathway to the subthalamus. Ten normal brains were analyzed by using the high angular resolution diffusion imaging—constrained spherical deconvolution (CSD)‐based technique. The study was performed with a 3T magnetic resonance imaging (MRI) scanner (Achieva, Philips Healthcare, Best, Netherlands); by using a 32‐channel SENSE head coil. We showed that CSD is a powerful technique that allows a fine evaluation of both the long and small tracts between cortex and basal ganglia, including direct, indirect, and hyperdirect pathways. In addition, a pathway directly connecting the cortex to the globus pallidus was seen. Our results confirm that the CSD tractography is a valuable technique allowing a reliable reconstruction of small‐ and long‐fiber pathways in brain regions with multiple fiber orientations, such as basal ganglia. This could open a future scenario in which CSD could be used to focally target with deep brain stimulation (DBS) the small bundles within the basal ganglia loops. © 2014 International Parkinson and Movement Disorder Society
Study of Seal Glass for Solid Oxide Fuel/Electrolyzer Cells

Seal glass is essential and plays a crucial role in solid oxide fuel/electrolyzer cell performance and durability. A seal glass should have a combination of thermal, chemical, mechanical, and electrical properties in order to seal different cell components and stacks and prevent gas leakage. All the desired properties can simultaneously be obtained in a seal glass by suitable compositional design. In this dissertation, SrO-La2O3-Al2O3-B2O3-SiO2 based seal glasses have been developed and composition-structure-property relationships have been investigated. B2O3 free SrO-La2O3-Al2O3-SiO2 based seal glass is the most suitable and its compatibility with the metallic interconnects and sealing performances have been evaluated. A seal glass should be stable for 5,000-40,000 hrs in the oxidizing and reducing atmospheres at 600-900°C but both the thermal and chemical stability is a persistent problem. The effect of Al2O3 on a SrO-La2O3-Al2O3-B2O3-SiO2 based seal glass has been studied to improve the thermal properties, such as glass transition temperature, softening temperature and thermal expansion coefficient, and the thermal stability. Al2O3 improves the thermal stability but does not significantly affect the thermal properties of the seal glass. Comprehensive understanding of composition-structure-property relationships is needed to design a suitable seal glass. The thermal properties and stability of a borosilicate seal glass depend on the B2O3:SiO2 ratio in the composition. The role of B2O3:SiO2 ratio on the glass
Group dynamics

The social process by which people interact and behave in a group environment is called group dynamics. Group dynamics involves the influence of personality, power, and behaviour on the group process. Is the relationship between individuals conducive to achieving the groups goals? Is the structure and size of the group an asset in pursuing both the task and maintenance functions of the group? How is formal and informal power used to build consensus or reach decisions? Does the combination of individuals produce the right culture? How these individuals, cultures, and internal forces interact allows us to analyze and better understand group effectiveness.
Rapid Shadow Generation in Real-World Lighting Environments

We propose a new algorithm that uses consumer-level graphics hardware to render shadows cast by synthetic objects and a real lighting environment. This has immediate benefit for interactive Augmented Reality applications, where synthetic objects must be accurately merged with real images. We show how soft shadows cast by direct and indirect illumination sources may be generated and composited into a background image at interactive rates. We describe how the sources of light (and hence shadow) affecting each point in an image can be efficiently encoded using a hierarchical shaft-based subdivision of line-space. This subdivision is then used to determine the sources of light that are occluded by synthetic objects, and we show how the contributions from these sources may be removed from a background image using facilities available on modern graphics hardware. A trade-off may be made at run-time between shadow accuracy and rendering cost, converging towards a result that is subjectively similar to that obtained using ray-tracing based differential rendering algorithms. Examples of the proposed technique are given for a variety of different lighting environments, and the visual fidelity of images generated by our algorithm is compared to both real photographs and synthetic images generated using non-real-time techniques.
Integrable structure of melting crystal model with external potentials

This is a review of the authors' recent results on an integrable structure of the melting crystal model with external potentials. The partition function of this model is a sum over all plane partitions (3D Young diagrams). By the method of transfer matrices, this sum turns into a sum over ordinary partitions (Young diagrams), which may be thought of as a model of q -deformed random partitions. This model can be further translated to the language of a complex fermion system. A fermionic realization of the quantum torus Lie algebra is shown to underlie therein. With the aid of hidden symmetry of this Lie algebra, the partition function of the melting crystal model turns out to coincide, up to a simple factor, with a tau function of the 1D Toda hierarchy. Some related issues on 4D and 5D supersymmetric Yang-Mills theories, topological strings and the 2D Toda hierarchy are briefly discussed.
High-efficiency removal of phytic acid in soy meal using two-stage temperature-induced Aspergillus oryzae solid-state fermentation.

BACKGROUND Phytic acid of soy meal (SM) could influence protein and important mineral digestion of monogastric animals. Aspergillus oryzae (ATCC 9362) solid-state fermentation was applied to degrade phytic acid in SM. Two-stage temperature fermentation protocol was investigated to increase the degradation rate. The first stage was to maximize phytase production and the second stage was to realize the maximum enzymatic degradation. RESULTS In the first stage, a combination of 41% moisture, a temperature of 37 °C and inoculum size of 1.7 mL in 5 g substrate (dry matter basis) favored maximum phytase production, yielding phytase activity of 58.7 U, optimized via central composite design. By the end of second-stage fermentation, 57% phytic acid was degraded from SM fermented at 50 °C, compared with 39% of that fermented at 37 °C. The nutritional profile of fermented SM was also studied. Oligosaccharides were totally removed after fermentation and 67% of total non-reducing polysaccharides were decreased. Protein content increased by 9.5%. CONCLUSION Two-stage temperature protocol achieved better phytic acid degradation during A. oryzae solid state fermentation. The fermented SM has lower antinutritional factors (phytic acid, oligosaccharides and non-reducing polysaccharides) and higher nutritional value for animal feed.
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison

In this paper, we describe preliminary results from an ongoing experiment wherein we classify two large unstructured text corpora—a web corpus and a newspaper corpus—by topic domain (or subject area). Our primary goal is to develop a method that allows for the reliable annotation of large crawled web corpora with meta data required by many corpus linguists. We are especially interested in designing an annotation scheme whose categories are both intuitively interpretable by linguists and firmly rooted in the distribution of lexical material in the documents. Since we use data from a web corpus and a more traditional corpus, we also contribute to the important field of corpus comparison and corpus evaluation. Technically, we use (unsupervised) topic modeling to automatically induce topic distributions over gold standard corpora that were manually annotated for 13 coarse-grained topic domains. In a second step, we apply supervised machine learning to learn the manually annotated topic domains using the previously induced topics as features. We achieve around 70% accuracy in 10-fold cross validations. An analysis of the errors clearly indicates, however, that a revised classification scheme and larger gold standard corpora will likely lead to a substantial increase in accuracy.
Coverage Assessment and Target Tracking in 3D Domains

Recent advances in integrated electronic devices motivated the use of Wireless Sensor Networks (WSNs) in many applications including domain surveillance and mobile target tracking, where a number of sensors are scattered within a sensitive region to detect the presence of intruders and forward related events to some analysis center(s). Obviously, sensor deployment should guarantee an optimal event detection rate and should reduce coverage holes. Most of the coverage control approaches proposed in the literature deal with two-dimensional zones and do not develop strategies to handle coverage in three-dimensional domains, which is becoming a requirement for many applications including water monitoring, indoor surveillance, and projectile tracking. This paper proposes efficient techniques to detect coverage holes in a 3D domain using a finite set of sensors, repair the holes, and track hostile targets. To this end, we use the concepts of Voronoi tessellation, Vietoris complex, and retract by deformation. We show in particular that, through a set of iterative transformations of the Vietoris complex corresponding to the deployed sensors, the number of coverage holes can be computed with a low complexity. Mobility strategies are also proposed to repair holes by moving appropriately sensors towards the uncovered zones. The tracking objective is to set a non-uniform WSN coverage within the monitored domain to allow detecting the target(s) by the set of sensors. We show, in particular, how the proposed algorithms adapt to cope with obstacles. Simulation experiments are carried out to analyze the efficiency of the proposed models. To our knowledge, repairing and tracking is addressed for the first time in 3D spaces with different sensor coverage schemes.
Imaging Lymphatic System in Breast Cancer Patients with Magnetic Resonance Lymphangiography

Objective To investigate the feasibility of gadolinium (Gd) contrast-enhanced magnetic resonance lymphangiography (MRL) in breast cancer patients within a typical clinical setting, and to establish a Gd-MRL protocol and identify potential MRL biomarkers for differentiating metastatic from non-metastatic lymph nodes. Materials and Methods 32 patients with unilateral breast cancer were enrolled and divided into 4 groups of 8 patients. Groups I, II, and III received 1.0, 0.5, and 0.3 ml of intradermal contrast; group IV received two 0.5 ml doses of intradermal contrast. MRL images were acquired on a 3.0 T system and evaluated independently by two radiologists for the number and size of enhancing lymph nodes, lymph node contrast uptake kinetics, lymph vessel size, and contrast enhancement patterns within lymph nodes. Results Group III patients had a statistically significant decrease in the total number of enhancing axillary lymph nodes and lymphatic vessels compared to all other groups. While group IV patients had a statistically significant faster time to reach the maximum peak enhancement over group I and II (by 3 minutes), there was no other statistically significant difference between imaging results between groups I, II, and IV. 27 out of 128 lymphatic vessels (21%) showed dilatation, and all patients with dilated lymphatic vessels were pathologically proven to have metastases. Using the pattern of enhancement defects as the sole criterion for identifying metastatic lymph nodes during Gd-MRL interpretation, and using histopathology as the gold standard, the sensitivity and specificity were estimated to be 86% and 95%, respectively. Conclusion Gd-MRL can adequately depict the lymphatic system, can define sentinel lymph nodes, and has the potential to differentiate between metastatic and non-metastatic lymph nodes in breast cancer patients.
New Extensions of Pairing-based Signatures into Universal (Multi) Designated Verifier Signatures

The concept of universal designated verifier signatures was introduced by Steinfeld, Bull, Wang and Pieprzyk at Asiacrypt 2003. These signatures can be used as standard publicly verifiable digital signatures but have an additional functionality which allows any holder of a signature to designate the signature to any desired verifier. This designated verifier can check that the message was indeed signed, but is unable to convince anyone else of this fact. We propose new efficient constructions for pairing-based short signatures. Our first scheme is based on Boneh-Boyen signatures and its security can be analyzed in the standard security model. We prove its resistance to forgery assuming the hardness of the so-called strong Diffie-Hellman problem, under the knowledge-of-exponent assumption. The second scheme is compatible with the Boneh-Lynn-Shacham signatures and is proven unforgeable, in the random oracle model, under the assumption that the computational bilinear Diffie-Hellman problem is untractable. Both schemes are designed for devices with constrained computation capabilities since the signing and the designation procedure are pairing-free. Finally, we present extensions of these schemes in the multi-user setting proposed by Desmedt in 2003.
CANCER AND DIABETES

Dr. Hsin-Chieh Yeh is Associate Professor of Medicine, Epidemiology, and Oncology, Director of the Johns Hopkins-University of Maryland Diabetes Research Center Healthcare and Population Science Core, and Associate Director of the Welch Center for Prevention, Epidemiology, and Clinical Research at the Johns Hopkins University, Baltimore, MD. Dr. Asieh Golozar is Epidemiologist at Bayer AG, Pharmaceuticals, Berlin, Germany. Dr. Frederick L. Brancati was Distinguished Service Professor of Medicine and Epidemiology at the Johns Hopkins University, Baltimore, MD, at the time of his death.
Compressive Strength and Leaching Behavior of Mortars with Biomass Ash

This study investigated the use of a biomass ash produced by a fuel combination made with wood, corn stover, and corn cob as cement replacement for the production of mortar. Biomasses are now widely accepted as a substitute for conventional fuels and are becoming essential for cost-effective production of energy. This study aimed to provide an opportunity for the annual agricultural corn-crop residue, corn stover and cob, which is increasingly being used as fuel for its valuable energy content. Measurements of workability, compressive strength, and leachate properties (pH, salinity, heavy metals and calcium ion release) of mortar specimen, at different cement substitution levels and ages, were evaluated. The results obtained reveal definitive possibilities for such mixed biomass ash to be used in cement-based materials, such as mortars. Moreover, a multiple regression analysis has been reported between the mass of calcium ions leached and the mixture composition with the compressive strength. Data show that further confirmation, on a longer span of time and of other types of mechanical properties and environmental tests, would be necessary to fully implement the use of such biomass ashes in various types of cement-based construction materials, in order to divert them from landfill disposal.
A Paradigm Shift in U.S. Breast Reconstruction: Increasing Implant Rates

Background: Despite its benefits in body image, self-esteem, sexuality, and quality of life, historically fewer than 25 percent of patients undergo immediate breast reconstruction. After passage of the Women Health and Cancer Rights Act, studies failed to demonstrate changes in reconstructive rates. A recent single-year report suggests significant shifts in U.S. breast reconstruction patterns. The authors' goal was to assess long-term trends in rates and types of immediate reconstruction. Methods: A serial cross-sectional study of immediate breast reconstruction trends was performed using the Nationwide Inpatient Sample database from 1998 to 2008. Data on mastectomies, reconstructive method (autologous/implant), and sociodemographic/hospital predictors were obtained. Results: Immediate breast reconstruction rates increased on average 5 percent per year, from 20.8 percent to 37.8 percent (p < 0.01). Autologous reconstruction rates were unchanged. Implant use increased by an average of 11 percent per year (p < 0.01), surpassing autologous methods as the leading reconstructive modality after 2002. The strongest predictors of implant use were procedures performed after 2002, bilateral mastectomies, patients operated on in Midwest/West regions, and Medicare recipients. In contrast to bilateral mastectomies, which increased by 17 percent per year (p < 0.01), unilateral mastectomies decreased by 2 percent per year (p < 0.01). Bilateral mastectomy defects had significantly higher reconstruction rates than unilateral counterparts (p < 0.01). Conclusions: The significant rise in immediate reconstruction rates in the United States correlates closely to a 203 percent expansion in implant use. Although the reason for the increase in implant use is multifactorial, changes in mastectomy patterns, such as increased use of bilateral mastectomies, are one important contributor.
Multiple Response Optimization of Laser-Induced Breakdown Spectroscopy Parameters for Multi-Element Analysis of Soil Samples

Laser-induced breakdown spectroscopy (LIBS) is an emerging analytical technique to perform elemental analysis in natural samples independent of their physical state (solid, liquid, or gaseous). Due to its instrumental features, LIBS shows promising potential to perform analysis in situ and in environments at risk. Since the analytical performance of LIBS strongly depends on the choice of experimental conditions, each particular application needs a specific instrumental adjustment. The present study evaluated three LIBS instrumental parameters regarding their influences on signal-to-noise ratio (SNR) of seven elements in soil samples: laser pulse energy, delay time, and integration time gate. A multivariate technique was used due to the significant interaction among the evaluated parameters. Subsequently, to optimize LIBS parameters for each individual element response, a method for multiple response optimization was used. With only one simple screening design, it was possible to obtain a good combination among the studied parameters in order to simultaneously increase the SNR for all analytes. Moreover, the analysis of individual response for elements is helpful to understand their physical behavior in the plasma and also how they are embedded in the sample matrix.
Bimetallic surface plasmon resonance photonic crystal fiber biosensor using refractory plasmonic material

Surface plasmon resonance (SPR) photonic crystal fiber (PCF) biosensors have recently attracted the attention of many researchers due to their unique properties which paved the way for many applications. Unlike the conventional configurations of SPR, the PCF-based sensors make remote sensing and real-time detection feasible. In addition, it is required to remove the conventional fiber cladding for obtaining a high sensitivity. In this paper, the use of Titanium Nitride (TiN) as a refractory plasmonic material in a highly sensitive plasmonic PCF is presented and analyzed by full vectorial finite element method. The proposed design relies on a silver layer as a plamonic material. Further, a thin coating layer of the abrasion-resistant alternative plasmonic material TiN is used to protect the silver layer from oxidation. In this investigation, the Ag/TiN configuration achieves high refractive index sensitivities of 9400 nm/RIU for both quasi-transverse electric (TE) and quasi-transverse magnetic (TM) modes by optimizing the design geometrical parameters. It is found out that the resonant peaks corresponding to the two polarized modes are extremely sensitive to the analyte refractive index variations. Moreover, the performance of the suggested design has high linearity. To the best of the authors’ knowledge, it is the first time to introduce TiN in a bimetallic PCF biosensor as a plasmonic material with high sensitivity.
Reduced darunavir dose is as effective in maintaining HIV suppression as the standard dose in virologically suppressed HIV-infected patients: a randomized clinical trial.

OBJECTIVES Maximizing ART efficiency is of growing interest. This study assessed the efficacy, safety, pharmacokinetics and economics of a darunavir dose-reduction strategy. METHODS This was a multicentre, randomized, open-label clinical trial in HIV-infected patients with plasma HIV-1 RNA <50 copies/mL while receiving triple ART including 800 mg of darunavir once daily. Participants were randomized to continue 800 mg of darunavir (DRV800) or to 600 mg of darunavir (DRV600), both once daily. Treatment failure was defined as two consecutive HIV-1 RNA determinations >50 copies/mL or discontinuation of study treatment by week 48. The study was registered at https://www.clinicaltrialsregister. eu (trial number 2011-006272-39). RESULTS Fifty participants were allocated to each arm. The mean (SD) CD4+ T cell count at baseline was 562 (303) cells/mm(3) and HIV-1 RNA had been <50 copies/mL for a median (IQR) of 106.9 (43.4-227.9) weeks before enrolment. At week 48 no treatment failure had occurred in 45/50 (90%) DRV600 patients and in 47/50 (94%) DRV800 patients (difference -4%; 95% CI lower limit, -12.9%). When only patients with virological data were considered, that endpoint was met by 45/48 (94%) in the DRV600 arm and 47/49 (96%) in the DRV800 arm (difference -2.2%; 95% CI lower limit, -9.6%). Darunavir exposure was similar in the two arms. The average reduction in annual cost per successfully treated DRV600-arm patient was US$7273. CONCLUSIONS The efficacy of a darunavir daily dose of 600 mg seemed to be similar to the efficacy of the standard 800 mg dose in virologically suppressed HIV-infected patients on triple ART. This strategy can potentially translate to substantial savings in the cost of care of HIV-infected patients.
Modélisation multi-échelle des composites tissés à matrice thermoplastique sous chargements cycliques non proportionnels

Dans ce travail, un modele micromecanique etabli sur le principe de l’homogeneisation periodique est utilise pour decrire le comportement macroscopique des composites a matrice thermoplastique sous chargements cycliques et non proportionnels. Avec l’approche proposee, le comportement macroscopique du composite est determine a partir d’une simulation par elements finis d’une cellule unitaire representative de la microstructure en integrant les lois de comportement specifiques des constituants : la matrice et les torons. Le comportement de la matrice est modelise a l’aide d’une loi de comportement presentant un couplage entre viscoelasticite, viscoplasticite et endommagement ductile. Pour les torons, une loi de comportement basee a la fois sur des concepts micromecaniques et phenomenologiques est utilisee. Cette derniere permet de prendre en compte l’endommagement ainsi que l’anelasticite induit par la presence d’un reseau diffus de microfissures. Les capacites du modele a capturer, a l’echelle macroscopique, les effets temporels induits par la matrice, couples aux mecanismes d’endommagement intra-torons, sont demontrees a travers plusieurs exemples ou le composite est soumis a des chargements cycliques et non proportionnels.