Miracle-dz/UniFAR-FTUs huggingface dataset:
VEGF in 105 pheochromocytomas: enhanced expression correlates with malignant outcome

Pheochromocytomas are rare sympathoadrenal tumors that are highly vascular. Their malignancy is extremely difficult to estimate on the basis of histopathological features. Vascular endothelial growth factor (VEGF) is one of the most important angiogenic factors involved in both tumor growth and metastasis. In our search for new prognostic markers, we investigated the expression of VEGF in normal adrenal gland, in 105 primary pheochromocytomas, and in 6 metastases by using immunohistochemistry and Northern blot analysis. We also calculated the microvessel density of these tumors by staining the endothelial cells with monoclonal CD34 antibody.
FootFall: A Ground Based Operations Toolset Enabling Walking for the ATHLETE Rover

The ATHLETE (All-Terrain Hex-Limbed Extra-Terrestrial Explorer) vehicle consists of six identical, six degree of freedom limbs. FootFall is a ground tool for ATHLETE intended to provide an operator with integrated situational awareness, terrain reconstruction, stability and safety analysis, motion planning, and decision support capabilities to enable the efficient generation of flight software command sequences for walking. FootFall has been under development at NASA Ames for the last year, and having accomplished the initial integration, it is being used to generate command sequences for single footfalls. In this paper, the architecture of FootFall in its current state will be presented, results from the recent Human Robotic Systems Project? s Integrated Field Test (Moses Lake, Washington, June, 2008) will be discussed, and future plans for extending the capabilities of FootFall to enable ATHLETE to walk across a boulder field in real time will be described.
Design of architecture for mobile payments system

Mobile payments are predicted to have a bright future as m-commerce becomes more popular. However, this promising application has not been as successful as anticipated. After analyzing the current mobile payment service in China, In order to adapt future needs of mobile payment, this paper provides a four-layer framework and a new process for mobile payment. The future framework is composed of load-bearing layer, network interface and core application platform layer, business layer, and decision-making layer; the framework with the advantages of low cost, high scalability and security can be extended and improved by the developers. Then protocols and technologies in future use and success factors are described. At last this paper brings forward future work.
Model-based control of a direct drive arm. II. Control

For pt.I see ibid., p.1374-9 (1988). Work on model-based control with the MIT Serial Link Direct Drive Arm is described. It is shown that model-based control leads to performance superior to control not based on carefully constructed models. Trajectory control, trajectory learning, and force control are treated. A new type of trajectory learning is considered in which a robot fine-tunes one particular trajectory through repetition. Various experiments with the direct drive arm are reported to validate the importance of model-based control. <<ETX>>
Semantic Management of Multimedia Documents for E-Government Activity

E-Government activities have the aim to optimize the work of the governmental offices and offer, to citizens and businesses, effective, accessible and efficient services. Dematerialization, which is among the main activities of e-Government, is devoted to optimize information communication, in terms of consumed time and resources, as well as processing documents. In this work we propose a new model for multimedia document, suitable for e-Government activities, and an information system able to integrate and process different multimedia data type (as images, text, graphic objects, audio, video, composite multimedia, etc.) providing facilities for indexing, storage, retrieval, control of multimedia data, together with long term preservation strategies.
Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network

Most small-molecule drug candidates fail before entering the market, frequently because of unexpected toxicity. Often, toxicity is detected only late in drug development, because many types of toxicities, especially idiosyncratic adverse drug reactions (IADRs), are particularly hard to predict and detect. Moreover, drug-induced liver injury (DILI) is the most frequent reason drugs are withdrawn from the market and causes 50% of acute liver failure cases in the United States. A common mechanism often underlies many types of drug toxicities, including both DILI and IADRs. Drugs are bioactivated by drug-metabolizing enzymes into reactive metabolites, which then conjugate to sites in proteins or DNA to form adducts. DNA adducts are often mutagenic and may alter the reading and copying of genes and their regulatory elements, causing gene dysregulation and even triggering cancer. Similarly, protein adducts can disrupt their normal biological functions and induce harmful immune responses. Unfortunately, reactive metabolites are not reliably detected by experiments, and it is also expensive to test drug candidates for potential to form DNA or protein adducts during the early stages of drug development. In contrast, computational methods have the potential to quickly screen for covalent binding potential, thereby flagging problematic molecules and reducing the total number of necessary experiments. Here, we train a deep convolution neural network—the XenoSite reactivity model—using literature data to accurately predict both sites and probability of reactivity for molecules with glutathione, cyanide, protein, and DNA. On the site level, cross-validated predictions had area under the curve (AUC) performances of 89.8% for DNA and 94.4% for protein. Furthermore, the model separated molecules electrophilically reactive with DNA and protein from nonreactive molecules with cross-validated AUC performances of 78.7% and 79.8%, respectively. On both the site- and molecule-level, the model’s performances significantly outperformed reactivity indices derived from quantum simulations that are reported in the literature. Moreover, we developed and applied a selectivity score to assess preferential reactions with the macromolecules as opposed to the common screening traps. For the entire data set of 2803 molecules, this approach yielded totals of 257 (9.2%) and 227 (8.1%) molecules predicted to be reactive only with DNA and protein, respectively, and hence those that would be missed by standard reactivity screening experiments. Site of reactivity data is an underutilized resource that can be used to not only predict if molecules are reactive, but also show where they might be modified to reduce toxicity while retaining efficacy. The XenoSite reactivity model is available at http://swami.wustl. edu/xenosite/p/reactivity.
Input design for subspace-based fault detection

This paper considers the problem of auxiliary input design for subspace-based fault detection methods. In several real applications, particularly in the damage detection of mechanical structures and vibrating systems, environment noise is the only input to the system. In some applications, white noise produces low quality output data for the subspace-based fault detection method. In those methods, a residual is calculated to detect the fault based on the output information. However, some modes of the system may not influence the outputs and the residual appropriately if the input is not exciting enough for those modes. In this paper, “rotated inputs” method is implemented to excite the system modes. In addition to produce a residual more sensitive to the weak modes, it is possible to detect system order changes due to the fault using the rotated inputs. Simulation results demonstrate the efficiency of injecting these auxiliary inputs to improve the subspace-based fault detection methodology.
NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture

In many areas, such as social science, politics or market research, people need to deal with dataset shifting over time. Distribution drift phenomenon usually appears in the field of sentiment analysis, when proportions of instances are changing over time. In this case, the task is to correctly estimate proportions of each sentiment expressed in the set of documents (quantification task). Basically, our study was aimed to analyze the effectiveness of a mixture of quantification technique with one of deep learning architecture. All the techniques are evaluated using the SemEval-2017 Task4 dataset and source code, mentioned in this paper and available online in the Python programming language. The results of an application of the quantification techniques are discussed.
Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan

OBJECTIVES Diabetic nephropathy (DN) is a major leading cause of kidney failure. Recent studies showed that serological microRNAs (miRs) could be utilized as biomarkers to identify disease pathogenesis; the DN-related miRs, however, remained to be explored. METHODS A prospective case-control study was conducted. The clinical significance of five potential miRs (miR-21, miR-29a, miR-29b, miR-29c and miR192) in type 2 Diabetes Mellitus (T2DM) patients who have existing diabetic retinopathy with differential Albumin:Creatinine Ratio (ACR) and estimated Glomerular Filtration Rate (eGFR) was performed using quantitative RT-PCR analysis. The subjects with diabetic retinopathy enrolled in Taipei City Hospital, Taiwan, were classified into groups of normal albuminuria (ACR<30mg/g; N=12); microalbuminuria (30mg/g300mg/g; N=21) as well as 18 low-eGFR (eGFR<60ml/min) and 32 high-eGFR (eGFR>60ml/min). The level of serum miRs was statistically correlated with age, Glucose AC, ACR, eGFR and DN progression. RESULTS The levels of miR-21, miR-29a and miR-192 were significantly enriched in the overt proteinuria group compared with microalbuminuria and/or overt proteinuria groups. It was shown that only miR-21 level was significantly up-regulated in low-eGFR group compared with high-eGFR patients. Interestingly, Pearson's correlation coefficient analysis demonstrated that DN progressors showed significantly greater levels of miR-21, miR-29a, miR-29b and miR-29c in comparison with non-progressors implying the clinical potential of DN associated miRs in monitoring and preventing disease advancement. CONCLUSION Our findings showed that miR-21, miR-29a/b/c and miR-192 could reflect DN pathogenesis and serve as biomarkers during DN progression.
Sexual Functioning in Young Women and Men: Role of Attachment Orientation

Prior research has documented various ways in which adult attachment styles are characteristic of differential behavioral and cognitive patterns within romantic relationships and sexuality. However, few studies have examined the direct influence of anxious or avoidant attachment orientation on sexual function. The aim of the present study was to assess the impact of insecure attachment on sexual function. Undergraduate students completed questionnaires measuring attachment style and sexual functioning. Among women, attachment avoidance tended to be associated with impairments in all aspects of sexual function, whereas anxious attachment tended to be associated with declines in arousal, satisfaction, and ability to achieve orgasm. A different trend was seen in men: Anxious attachment tended to be associated with multiple facets of sexual dysfunction, while avoidant attachment did not correlate with any sexual function deficits and was associated with superior physiological competence. These results suggest that both anxious and avoidant attachment styles are important yet differential predictors of sexual function in men and women.
Identification and characterization of BipA, a Bordetella Bvg‐intermediate phase protein

The Bordetella BvgAS sensory transduction system has traditionally been viewed as controlling a transition between two distinct phenotypic phases: the Bvg+ or virulent phase and the Bvg− or avirulent phase. Recently, we identified a phenotypic phase of Bordetella bronchiseptica that displays reduced virulence in a rat model of respiratory infection concomitant with increased ability to survive nutrient deprivation. Characterization of this phase, designated Bvg‐intermediate (Bvgi), indicated the presence of antigens that are maximally, if not exclusively, expressed in this phase and therefore suggested the existence of a previously unidentified class of Bvg‐regulated genes. We now report the identification and characterization of a Bvgi phase protein, BipA (Bvg‐intermediate phase protein A), and its structural gene, bipA. Reverse transcriptase–polymerase chain reaction (RT–PCR) analysis indicates that bipA is expressed maximally under Bvgi phase conditions and thus represents the first identified Bvgi phase gene. bipA encodes a 1578‐amino‐acid protein that shares amino acid sequence similarity at its N‐terminus with the proposed outer membrane localization domains of intimin (Int) of enteropathogenic and enterohaemorrhagic Escherichia coli and invasin (Inv) of Yersinia spp. Although not apparent at the amino acid level, BipA is also similar to Int and Inv in that the proposed membrane‐spanning domain is followed by several 90‐amino‐acid repeats and a distinct C‐terminal domain. Localization studies using an antibody directed against the C‐terminus of BipA indicated that its C‐terminus is exposed on the bacterial cell surface. Western blot analysis with this same antibody indicated that BipA homologues are expressed in Bvgi phase Bordetella pertussis and Bordetella parapertussis. Comparison of a ΔbipA strain with wild‐type B. bronchiseptica indicated that BipA is not required for Bvgi phase‐specific aggregative adherence to rat lung epithelial cells in vitro or for persistent colonization of the rabbit respiratory tract in vivo. However, our data are consistent with the hypothesis that BipA, and the Bvgi phase in general, play an important role in the Bordetella infectious cycle, perhaps by contributing to aerosol transmission.
Capacity and Optimal Resource Allocation for Fading Broadcast Channels — Part II : Outage Capacity

In this two-part paper, we study three capacity regions for fading broadcast channels and obtain their corresponding optimal resource allocation strategies: the ergodic (Shannon) capacity region, the zero-outage capacity region, and the capacity region with outage. In Part I, we obtained the ergodic capacity region of the fading broadcast channel under different spectrum-sharing techniques. In this paper, we derive the outage capacity regions of fading broadcast channels, assuming that both the transmitter and the receivers have perfect channel side information. These capacity regions and the associate optimal resource allocation policies are obtained for code division (CD) with and without successive decoding, for time division (TD), and for frequency division (FD). We show that in an -user broadcast system, the outage capacity region is implicitly obtained by deriving the outage probability region for a given rate vector. Given the required rate of each user, we find a strategy which bounds the outage probability region for different spectrum-sharing techniques. The corresponding optimal power allocation scheme is a multiuser generalization of the threshold-decision rule for a single-user fading channel. Also discussed is a simpler minimum common outage probability problem under the assumption that the broadcast channel is either not used at all when fading is severe or used simultaneously for all users. Numerical results for the different outage capacity regions are obtained for the Nakagamifading model.
Predictive Value of Fever and Palmar Pallor for P. falciparum Parasitaemia in Children from an Endemic Area

Introduction Although the incidence of Plasmodium falciparum malaria in some parts of sub-Saharan Africa is reported to decline and other conditions, causing similar symptoms as clinical malaria are gaining in relevance, presumptive anti-malarial treatment is still common. This study traced for age-dependent signs and symptoms predictive for P. falciparum parasitaemia. Methods In total, 5447 visits of 3641 patients between 2–60 months of age who attended an outpatient department (OPD) of a rural hospital in the Ashanti Region, Ghana, were analysed. All Children were examined by a paediatrician and a full blood count and thick smear were done. A Classification and Regression Tree (CART) model was used to generate a clinical decision tree to predict malarial parasitaemia a7nd predictive values of all symptoms were calculated. Results Malarial parasitaemia was detected in children between 2–12 months and between 12–60 months of age with a prevalence of 13.8% and 30.6%, respectively. The CART-model revealed age-dependent differences in the ability of the variables to predict parasitaemia. While palmar pallor was the most important symptom in children between 2–12 months, a report of fever and an elevated body temperature of ≥37.5°C gained in relevance in children between 12–60 months. The variable palmar pallor was significantly (p<0.001) associated with lower haemoglobin levels in children of all ages. Compared to the Integrated Management of Childhood Illness (IMCI) algorithm the CART-model had much lower sensitivities, but higher specificities and positive predictive values for a malarial parasitaemia. Conclusions Use of age-derived algorithms increases the specificity of the prediction for P. falciparum parasitaemia. The predictive value of palmar pallor should be underlined in health worker training. Due to a lack of sensitivity neither the best algorithm nor palmar pallor as a single sign are eligible for decision-making and cannot replace presumptive treatment or laboratory diagnosis.
Novel synthetic ferrimagnet pinned Layers for metallic CPP spin valves requiring high pinning-field and output

We have succeeded in enhancing the current-perpendicular-to-plane (CPP) magnetoresistance of the synthetic spin-valves by controlling the spin-dependent transport through the synthetic ferrimagnetic pinned layer using impurities. The new pinned layer overcomes the disadvantage of the synthetic pinned layer in CPP spin-valves for the magnetoresistance reduction. The experimental results are well described by our calculations based on the two-current theory. The proposed pinned layer, together with our newly developed magnetoresistive ferromagnetic materials, will be quite effective in producing CPP spin-valve sensors for ultrahigh-density data storage systems.
Multidimensional QoE Assessment of Multi-view Video and Audio (MVV-A) IP Multicast Transmission Methods

In this paper, we deal with Multi-View Video and Audio (MVV-A) IP transmission in which a server multicasts the audio and video data to multiple users. We consider two transmission methods, one is the all viewpoints transmission method, while the other is the requested viewpoint transmission method. The former transmits all the viewpoints data. The latter transmits only the requested viewpoint data by the user. This paper compares the two methods in terms of QoE. We conduct multidimensional assessment with eight pairs of polar terms by the SD (Semantic Differential) method, which can assess an object from many points. As a result, we investigate how the multicast transmission methods affect the user's satisfaction.
In Vitro Callus Induction and Shoot Regeneration from Leaf Explants of Glinus lotoides (L.)—An Important Medicinal Plant

G. lotoides L. is a threatened plant that is frequently harvested for medicinal purpose. However, its distribution in the world is limited because of short period of seed viability and poor seed germination. The objective of this study was to develop in vitro propagation protocol for G. lotoides through callus induction. For callus induction, different concentrations of 2,4-D (2,4-dichlorophenoxyacetic acid), NAA (α-naphthalene acetic acid) and BAP (6-benzyl amino purine) were used. Seeds were sown on growth regulator-free MS medium and shoots from the in vitro germinated seedlings were excised and cultured on MS medium containing 0.5 mg/l BAP. Young leaves from these shoots were used as explant for callus induction and shoot regeneration. Maximum callus induction (100%) was observed on medium containing 2,4-D (0.5, 2.0, 3.5 mg/l) or NAA (2.0, 2.5 mg/l) in combination with 0.5 mg/l BAP. However, 2,4-D was the best in overall callus induction. The highest regeneration (20%) frequency was achieved on the medium containing 0.5 mg/l BAP. Highest number of shoot (2.83 ± 1.22) and shoot length (2.16 ± 0.87 cm) per explant were obtained in the presence of 0.25 mg/l BAP + 0.5 mg/l KIN (Kinetin). In shoot multiplication media, maximum mean (6.43 ± 0.87) of shoot was observed on MS medium containing 0.5 mg/l BAP. The best shoot length (1.70 ± 0.14 cm) was recorded on control medium. The highest (95%), maximum root number (14.10 ± 1.47) and root length (1.01 ± 0.10 cm) were obtained on a medium supplemented with 1.5 mg/l Indole-3-butyric acid (IBA). All the plants (100%) were survived after acclimatization in greenhouse. The present study can be useful for callus induction and indirect shoot regeneration form G. lotoides.
Calnexin-Assisted Biogenesis of the Neuronal Glycine Transporter 2 (GlyT2)

The neuronal transporter GlyT2 is a polytopic, 12-transmembrane domain, plasma membrane glycoprotein involved in the removal and recycling of synaptic glycine from inhibitory synapses. Mutations in the human GlyT2 gene (SLC6A5) that cause deficient glycine transport or defective GlyT2 trafficking are the second most common cause of hyperekplexia or startle disease. In this study we examined several aspects of GlyT2 biogenesis that involve the endoplasmic reticulum chaperone calnexin (CNX). CNX binds transiently to an intermediate under-glycosylated transporter precursor and facilitates GlyT2 processing. In cells expressing GlyT2, transporter accumulation and transport activity were attenuated by siRNA-mediated CNX knockdown and enhanced by CNX overexpression. GlyT2 binding to CNX was mediated by glycan and polypeptide-based interactions as revealed by pharmacological approaches and the behavior of GlyT2 N-glycan-deficient mutants. Moreover, transporter folding appeared to be stabilized by N-glycans. Co-expression of CNX and a fully non-glycosylated mutant rescues glycine transport but not mutant surface expression. Hence, CNX discriminates between different conformational states of GlyT2 displaying a lectin-independent chaperone activity. GlyT2 wild-type and mutant transporters were finally degraded in the lysosome. Our findings provide further insight into GlyT2 biogenesis, and a useful framework for the study of newly synthesized GlyT2 transporters bearing hyperekplexia mutations.