Miracle-dz/UniFAR-FTUs huggingface dataset:
Finding Domain Experts in Microblogs

As users and contents of microblogging services gain a sharp increase, it presents the challenge of finding domain experts who are of high profession but generally don’t have followers widely. To address this, we propose a domain experts finding system, which consists of three modules: data preprocessing module, user features extracting engine, experts identifying and ranking module. Firstly, we extract three kinds of features for characterizing social media authors, including user profile features, tweeting behavior features and linguistic content features which are generated by our Microblog Latent Dirichlet Allocation(Microblog Lda) model. Secondly, by casting the problem of finding domain experts as a 0-1 classification problem, we use the Gradient Boosted Decision Trees (GBDT) framework to do probabilistic classification over these features, execute a ranking procedure and yield a list of top N users for a given domain. Experimental results on actual datasets show our Microblog Lda outperforms LDA(Latent Dirichlet Allocation) and our system has a high accuracy in the task of finding domain experts in Microblogs.
Altitude estimation method using assumed altitude reliability based on multipath propagation model

The problem of multipath propagation in the tracking low-altitude targets with a radar is addressed. It is well known that multipath fading causes bias errors to the target altitude over the sea. Since multipath propagation depends on the frequency of the radar waveform, the actual target altitude and range, estimation of the bias errors is difficult problem. In this paper, we propose an altitude estimation method using multipath propagation model. Our method uses the reliability of each assumed altitude hypothesis based on multipath propagation model to estimate the real altitude of targets. Through computer simulation trials, the validity of our method is confirmed.
A novel changeover technique for variable-winding brushless DC motor drives

For most electrical vehicular systems, there exists a tradeoff problem for the motors between large starting torque to enhance acceleration and climbing ability and wide constant power range to increase cruising distance. The method of winding switching over for various motor configurations has been extensively proposed in the literature. However, a dead time has to be inserted during changeover operation. In the paper, a novel changeover technique for variable-winding brushless DC motors with the application to electric scooters is presented. The dead time is eliminated during the winding configuration changed from wye to delta or vice versa. This scheme both protects the related hardware and preserves the speed performance. The experimental results will demonstrate the effectiveness.
Delivery of liposome‐sequestered hydrophobic proteins to lysosomes of normal and batten disease cells

We have developed a method to deliver hydrophobic proteins such as ATP synthase subunit c and ubiquitin to lysosomes of PMN (polymorphonucleocytes) and fibroblasts. ATP synthase subunit c is stored in the lysosomes of various tissues in late infantile and juvenile forms of neuronal ceriod lipofuscinosis, also called Batten disease (BD). Whether this protein storage is due to an abbreviation in protein or in the lysosomal hydrolases of BD is still not clear. We have sequestered this protein and ubiquitin in the lipid membrane of liposomes. The liposomes coated with autologous heat‐aggregated IgG or apolipoprotein E when presented to the PMN and fibroblasts, respectively, accumulated in the lysosomes. Both normal and BD PMN degraded 125I‐ubiquitin; the rate of degradation was, however, slower by Batten PMN. These studies indicate that a hydrophobic molecule such as subunit c can be delivered to PMN and fibroblasts, and the sequestered proteins are accessible to lysosomal hydrolases. Therefore, this technique can be used to study the metabolism of highly hydrophobic proteins by lysosomes, especially the biochemical mechanism(s) of subunit c storage in BD. J. Neurosci. Res. 47:341–347, 1997. © 1997 Wiley‐Liss, Inc.
Intraneuronal β-Amyloid Aggregates, Neurodegeneration, and Neuron Loss in Transgenic Mice with Five Familial Alzheimer's Disease Mutations: Potential Factors in Amyloid Plaque Formation

Mutations in the genes for amyloid precursor protein (APP) and presenilins (PS1, PS2) increase production of β-amyloid 42 (Aβ42) and cause familial Alzheimer's disease (FAD). Transgenic mice that express FAD mutant APP and PS1 overproduce Aβ42 and exhibit amyloid plaque pathology similar to that found in AD, but most transgenic models develop plaques slowly. To accelerate plaque development and investigate the effects of very high cerebral Aβ42 levels, we generated APP/PS1 double transgenic mice that coexpress five FAD mutations (5XFAD mice) and additively increase Aβ42 production. 5XFAD mice generate Aβ42 almost exclusively and rapidly accumulate massive cerebral Aβ42 levels. Amyloid deposition (and gliosis) begins at 2 months and reaches a very large burden, especially in subiculum and deep cortical layers. Intraneuronal Aβ42 accumulates in 5XFAD brain starting at 1.5 months of age (before plaques form), is aggregated (as determined by thioflavin S staining), and occurs within neuron soma and neurites. Some amyloid deposits originate within morphologically abnormal neuron soma that contain intraneuronal Aβ. Synaptic markers synaptophysin, syntaxin, and postsynaptic density-95 decrease with age in 5XFAD brain, and large pyramidal neurons in cortical layer 5 and subiculum are lost. In addition, levels of the activation subunit of cyclin-dependent kinase 5, p25, are elevated significantly at 9 months in 5XFAD brain, although an upward trend is observed by 3 months of age, before significant neurodegeneration or neuron loss. Finally, 5XFAD mice have impaired memory in the Y-maze. Thus, 5XFAD mice rapidly recapitulate major features of AD amyloid pathology and may be useful models of intraneuronal Aβ42-induced neurodegeneration and amyloid plaque formation.
Effects of frequency-dependent membrane capacitance on neural excitability

Objective. Models of excitable cells consider the membrane specific capacitance as a ubiquitous and constant parameter. However, experimental measurements show that the membrane capacitance declines with increasing frequency, i.e., exhibits dispersion. We quantified the effects of frequency-dependent membrane capacitance, c(f), on the excitability of cells and nerve fibers across the frequency range from dc to hundreds of kilohertz. Approach. We implemented a model of c(f) using linear circuit elements, and incorporated it into several models of neurons with different channel kinetics: the Hodgkin–Huxley model of an unmyelinated axon, the McIntyre–Richardson–Grill (MRG) of a mammalian myelinated axon, and a model of a cortical neuron from prefrontal cortex (PFC). We calculated thresholds for excitation and kHz frequency conduction block, the conduction velocity, recovery cycle, strength–distance relationship and firing rate. Main results. The impact of c(f) on activation thresholds depended on the stimulation waveform and channel kinetics. We observed no effect using rectangular pulse stimulation, and a reduction for frequencies of 10 kHz and above using sinusoidal signals only for the MRG model. c(f) had minimal impact on the recovery cycle and the strength–distance relationship, whereas the conduction velocity increased by up to 7.9% and 1.7% for myelinated and unmyelinated fibers, respectively. Block thresholds declined moderately when incorporating c(f), the effect was greater at higher frequencies, and the maximum reduction was 11.5%. Finally, c(f) marginally altered the firing pattern of a model of a PFC cell, reducing the median interspike interval by less than 2%. Significance. This is the first comprehensive analysis of the effects of dispersive capacitance on neural excitability, and as the interest on stimulation with kHz signals gains more attention, it defines the regions over which frequency-dependent membrane capacitance, c(f), should be considered.
A performance comparison among the traditional R-trees, the Hilbert R-tree and the SR-tree

This work investigates the performance of several spatial access methods with respect to the distribution of the indexed spatial objects. Although having gathered storage and insertion costs as well this work focuses on some issues regarding query costs. The performance results have showed that the R/sup +/-tree was the best spatial index structure for the point queries and the enclosure range queries, whereas the R/sup */-trees have produced the best outcomes for the intersection and the containment range queries. The Hilbert R-tree and the SR-tree have generated low performance results for any investigated query type. However, additional performance tests have showed that a variation in both the size and the shape properties of the data rectangles provided competitive results for the Hilbert R-tree and the SR-tree, mainly for the intersection and the containment queries.
Multi-criteria model of runway pavement inspection policy using delay time modelling

The conservation status of asphalt pavements can have a direct impact on the use of aircraft and consequently on the safety of their users. The primary function that an airplane requires from airport asphalt pavements is related to landing and take-off processes. Therefore, for the complex operations of an airport to be properly conducted, an infrastructure is required that mainly considers the movement of aircraft, since the deterioration of pavements, either because of weather conditions or operational factors, is one of the recurring factors that is responsible for incidents involving aircraft on the ground. Thus, this article proposes a multi-criteria model for a pavement inspection policy, using Delay Time Modeling, to establish the optimal period of inspections at an airport in the Northeast of Brazil, focusing on cost and availability. An MCDM model based on MAUT was used to determine the inspection interval so that cost and availability attributes could be considered simultaneously.
Long-term medical costs of postmenopausal breast cancer therapy.

BACKGROUND Since the incidence of breast cancer is growing, prevention programs can be expected to have a large economic impact on the health care system. From a health economic point of view, one is interested in the costs saved by disease prevention. PATIENTS AND METHODS To predict 10-year cumulative incidence-based costs of postmenopausal breast cancer, a state transitional model was developed based on published clinical data. The model simulates disease progression and includes nine health states of 1 year: node-negative and node-positive early cancer; local relapse; metastasis, each with its follow-up states; and death. The cost per state was obtained from a chart review in 118 patients with different disease states. Costs were calculated from the health insurance perspective and discounted at 3%. RESULTS The cumulative 10 year cost per patient was equal to 31,774 euro [95% confidence interval (CI) 30,536-33,012 euro] of which 30% was hospital costs, 28% systemic treatment, surgery and radiotherapy and 14% testing. Costs were at their highest following diagnosis and before death. CONCLUSIONS This incidence-based approach identified the cost of postmenopausal breast cancer over time and may serve as a valid baseline for assessment of new interventions in prevention or early treatment.
GSLDA: Supervised topic model with graph regularization

In this work, we study the problem of regularizing supervised topic model using graph structure. Supervised topic model generates each document independently, whereas in many applications there are links among documents, which are quite useful for refining topics. To overcome this limit of supervised topic model, we propose a regularization framework using graph structure. By leveraging both textual content and link structure, the output of the proposed model can promote effect of topic extraction and social network analysis simultaneously. Experiment results on two real datasets demonstrate the effectiveness of the proposed approach.
Heme oxygenase-1 deficiency: the first autopsy case.

This article describes the first autopsy case of heme oxygenase (HO)-1 deficiency. A 6-year-old boy who presented with growth retardation; anemia; leukocytosis; thrombocytosis; coagulation abnormality; elevated levels of haptoglobin, ferritin, and heme in serum; a low serum bilirubin concentration; and hyperlipidemia was diagnosed as HO-1 deficient by gene analysis several months before death. Autopsy showed amyloid deposits in the liver and adrenal glands and mesangioproliferative glomerular changes in kidneys, in addition to an irregular distribution of foamy macrophages with iron pigments. Fatty streaks and fibrous plaques were noted in the aorta. Compared with HO-1--targeted mice, the present case seems to more severely involve endothelial cells and the reticuloendothelial system, resulting in intravascular hemolysis, disseminated intravascular coagulation, and amyloidosis with a short survival. This contrasts to the predominant iron metabolic disorders of HO-1--targeted mice with a long survival.
Biofeedback computer game-based training

The application of multimedia technology has been many in our every-day life. In 2004, using the concept of the biofeedback computer game-based training the authors of this paper started a project at Monash University Malaysia to help students de-stress in order to improve academic performance. This paper describes the development of a new set of multimedia applications that combine a biofeedback technology and a concept of music therapy in a game-based training for stress management. This paper also aims to present a pattern for using the iterative model of a software development process The paper concludes with a discussion about further research and development in this area
Specific mRNA destabilization in Dictyostelium discoideum requires RNA synthesis

We tested the effects of inhibitors of protein and RNA synthesis on the disaggregation-mediated destabilization of prespore mRNAs in Dictyostelium discoideum. Incubating disaggregated cells with daunomycin to inhibit RNA synthesis prevented the loss of prespore mRNAs, whereas the inhibitor decreased or did not affect levels of the common mRNAs CZ22 and actin. Protein synthesis inhibitors varied in their effects. Cycloheximide, which inhibited protein synthesis almost completely, prevented the loss of the prespore mRNAs, but puromycin, which inhibited protein synthesis less well, did not. These results indicate that the process of specific mRNA destabilization requires the synthesis of RNA and possibly of protein.
The effects of market integration on childhood growth and nutritional status: The dual burden of under‐ and over‐nutrition in the Northern Ecuadorian Amazon

Market integration is an important source of cultural change exposing indigenous populations to epidemiologic and nutrition transitions. As children and adolescents are biologically sensitive to the health effects of market integration, we examine community variation of anthropometric indicators of nutritional status and growth among a cross‐cultural sample of Kichwa, Shuar, Huaorani, and Cofán indigenous groups in the northern Ecuadorian Amazon.
Initiation of Human Parturition: V. Progesterone Binding Substance in Fetal Membranes

This study was undertaken as part of an investigation of the potential role of progesterone metabolism within fetal membranes in the initiation of human labor. The results of this study provide evidence that a progesterone binding substance is present in amnion and chorian laeve during the last few days of pregnancy. This substance binds progesterone, cortisol, and 5α-dihydroprogesterone but does not bind 20α-hydroxy-4-pregncn-3- one, R 5020, or dexamethasone. We conclude that this is a previously undescribed progesterone binding substance and propose a possible mechanism by which this substance may be involved in the initiation of human parturition.
Spectral Method for Excitation Temperature Measurement in Hollow Cathode Lamp Plasma

In this paper the excitation temperature in a Gd hollow cathode lamp is measured for the first time. This measurement has made with considering of lamp spectra. One of the important measurements in plasma before using it as an interaction region with laser, is measuring of excitation temperature. Hollow cathode lamps are one of these regions. In this paper a Gd hollow cathode lamps with Ne as buffer gas is used as a plasma region. And the excitation temperature is measured. When the lamp current was 10 mA, the excitation temperature is measured 3000K.
EPSO-based Gaussian Process for electricity price forecasting

In this paper, a new method is proposed for Locational Marginal Pricing (LMP) forecasting in Smart Grid. The marginal cost is required to supply electric power to incremental loads in case where a certain node increases power demands in a balanced power system. LMP plays an important role to maintain economic efficiency in electric power markets in a way that electricity flows from a low-cost area to high-cost ones and the transmission network congestion is alleviated. The power market players are interested in maximizing the profits and minimizing the risks through selling and buying electricity. As a result, it is of importance to obtain accurate information on electricity pricing forecasting in advance so that their aim is achieved. This paper presents the Gaussian Process (GP) technique that comes from the extension of Support Vector Machine (SVM) in which hierarchical Bayesian estimation is introduced to express the model parameters as the probabilistic variables. The advantage is that the model accuracy of GP is better than others. GP is integrated with k-means of clustering to improve the performance of GP. Also, this paper makes use of the Mahalanobis kernel in GP rather than the Gaussian one so that GP is generalized to approximate nonlinear systems. EPSO of evolutionary computation is applied to GP to determine the parameters of the kernel function. The effectiveness of the proposed method is demonstrated for real data of ISO New England in USA.
Electrophysiological properties of human hypothalamic hamartomas

The hypothalamic hamartoma (HH) is a rare developmental malformation often characterized by gelastic seizures, which are usually refractory to medical therapy. The mechanisms of epileptogenesis operative in this subcortical lesion are unknown. In this study, we used standard patch‐clamp electrophysiological techniques combined with histochemical approaches to study individual cells from human HH tissue immediately after surgical resection. More than 90% of dissociated HH cells were small (6–9μm soma) and exhibited immunoreactivity to the neuronal marker NeuN, and to glutamic acid decarboxylase, but not to glial fibrillary acidic protein. Under current‐clamp, whole‐cell recordings in single dissociated cells or in intact HH slices demonstrated typical neuronal responses to depolarizing and hyperpolarizing current injection. In some cases, HH cells exhibited a “sag‐like” membrane potential change during membrane hyperpolarization. Interestingly, most HH cells exhibited robust, spontaneous “pacemaker‐like” action potential firing. Under voltage‐clamp, dissociated HH cells exhibited functional tetrodotoxin (TTX)–sensitive Na+ and tetraethylammonium‐sensitive K+ currents. Both GABA and glutamate evoked whole‐cell currents, with GABA exhibiting a peak current amplitude 10‐fold greater than glutamate. These findings suggest that human HH tissues, associated with gelastic seizures, contained predominantly small GABAergic inhibitory neurons that exhibited intrinsic “pacemaker‐like” behavior. Ann Neurol 2005;58:371–382
An Investigation into Business Requirements Evolution in Service-Based Enterprise Systems

Service-Based Enterprise Systems represents an eme rging paradigm in software development. Over the years, its usage has increased exponentially in fields such as manufacturing, banking, telecommu nication and healthcare due to its ability to promote reusability, loosely-coup led and scalability for software development. However to accommodate the evolution o f business requirements in SBES, there needs to be in place a standard strat egic approach. Moreover, handling business requirements evolution in natural language is very challenging when deluge scale of requirements are expected. Therefore, we propose an approach to automate the activity of evaluating the ne d to evolve phase which firstly conducted in service evolution life cycle. The proposed approach follows Change-oriented Service Life Cycle methodology as gu ideline to portray different phases in service evolution. As proof of concep t we will select a few SBES projects to evaluate the feasibility of the propose d approach.
Downregulation of mitochondrial connexin 43 by high glucose triggers mitochondrial shape change and cytochrome C release in retinal endothelial cells.

PURPOSE To determine connexin 43 (Cx43) localization in mitochondria and investigate the effects of high glucose (HG) on mitochondrial Cx43 (mtCx43) expression and whether altered mtCx43 channel activity is involved in promoting apoptosis in retinal endothelial cells. METHODS MtCx43 localization was determined using immunostaining, green fluorescent protein (GFP)-tagged Cx43 followed by confocal imaging, and Western blot analysis using protein isolated from mitochondria of rat retinal endothelial cells (RRECs). To assess HG effects on mtCx43 expression, RRECs were grown in normal (5 mM) or HG (30 mM) medium for 7 days, and mtCx43 protein level assessed by Western blot analysis. To determine if mtCx43 channel inhibition affected mitochondrial morphology, RRECs grown sparsely were left untreated or treated with β-glycerrhetinic acid (β-GA), an inhibitor of connexin channels, and imaged using confocal microscopy. Additionally, mitochondria isolated from RRECs were treated with β-GA, and cytochrome c release assessed by Western blot. RESULTS Cx43 localization on the mitochondria of RRECs was confirmed with immunofluorescence staining using Cx43 antibody and GFP-tagged Cx43 imaged in live cells. Western blot analysis indicated that Cx43 was located primarily on the inner mitochondrial membrane, and mtCx43 protein level was significantly reduced in RRECs grown in HG condition. Treatment of RRECs with β-GA significantly decreased mtCx43 phosphorylation, induced mitochondrial fragmentation, and isolated mitochondria treated with β-GA showed increased cytochrome c release. CONCLUSIONS HG-induced downregulation of mtCx43 protein resulting in decreased channel activity may promote mitochondrial morphology changes and cytochrome c release, suggesting a novel mechanism for hyperglycemia-induced apoptosis in diabetic retinopathy.
Pore water pressure sensor for landslide prediction

The paper presents a cost effective pore water pressure sensor (PWP) for landslide prediction, based on an integrated silicon pressure sensor. The sensor can be associated with a landslide sensor or can work independently. The aim of the landslide sensor is to detect the wetting condition and the tiny displacements of the ground. The pore water pressure has a simple construction, by measuring the pressure of the air in a small enclosure, air that is compressed by the water table. The pressure is measured with a silicon pressure sensor and it is converted in mm water column. Depending on the underground structure, many such sensors are necessary at different levels. The information is collected at the ground level via a serial point to multipoint network. The sensor has a low cost, fine accuracy, low power consumption and is easy to install.