Miracle-dz/UniFAR-FTUs huggingface dataset:
Disturbance of Oligodendrocyte Function Plays a Key Role in the Pathogenesis of Schizophrenia and Major Depressive Disorder

The major psychiatric disorders such as schizophrenia (SZ) and major depressive disorder (MDD) are thought to be multifactorial diseases related to both genetic and environmental factors. However, the genes responsible and the molecular mechanisms underlying the pathogenesis of SZ and MDD remain unclear. We previously reported that abnormalities of disrupted-in-Schizophrenia-1 (DISC1) and DISC1 binding zinc finger (DBZ) might cause major psychiatric disorders such as SZ. Interestingly, both DISC and DBZ have been further detected in oligodendrocytes and implicated in regulating oligodendrocyte differentiation. DISC1 negatively regulates the differentiation of oligodendrocytes, whereas DBZ plays a positive regulatory role in oligodendrocyte differentiation. We have reported that repeated stressful events, one of the major risk factors of MDD, can induce sustained upregulation of plasma corticosterone levels and serum/glucocorticoid regulated kinase 1 (Sgk1) mRNA expression in oligodendrocytes. Repeated stressful events can also activate the SGK1 cascade and cause excess arborization of oligodendrocyte processes, which is thought to be related to depressive-like symptoms. In this review, we discuss the expression of DISC1, DBZ, and SGK1 in oligodendrocytes, their roles in the regulation of oligodendrocyte function, possible interactions of DISC1 and DBZ in relation to SZ, and the activation of the SGK1 signaling cascade in relation to MDD.
Speaker adaptation using only vocalic segments via frequency warping

Speaker adaptation techniques allow hidden Markov model (HMM) based speech synthesis systems to mimic a target voice of which a few samples are available. However, usual adaptation approaches are not applicable when the target voice is dysarthric, i.e. the target speaker has an impairment which prevents the correct pronunciation of some phonemes. As a ﬁrst step towards giving personalized synthetic voices to these particular speakers, this paper explores the possibility of adapting the whole statistical voice model using frequency warping (FW) based transformations trained exclusively with vowels. Perceptual evaluations performed for healthy voices show that the proposed method achieves reasonable results even when the adaptation data exhibit medium/low recording quality.
Effect of Annealing Temperature on Microstructure and Shape Memory Characteristics of Ti-22Nb-6Zr(at%) Biomedical Alloy

Eﬀect of annealing temperature on microstructure and shape memory characteristics of Ti–22Nb–6Zr(at%) biomedical alloys wasinvestigatedbyusingtensiletests,XRDmeasurement,scanningelectronmicroscopy(SEM)andtransmissionelectronmicroscopy(TEM). Afterseverecold-rolling,theplatewasannealedattemperaturesbetween773and1173K.The= transustemperatureinthisalloywasdeterminedtobe between 823 and 873K. The specimen annealed at 823K for 3.6ks exhibited a ﬁne subgrain structure. A fully recrystallized structure wasobserved in the specimens annealed above 873K. The annealing temperature less aﬀected the transformation temperature and recovery strain.However, the critical stress for slip decreased considerably with increasing annealing temperature, because the grain size increased. Allspecimens annealed above 823K exhibited stable superelastic behavior at room temperature. (Received November 4, 2005; Accepted December 21, 2005; Published March 15, 2006)Keywords: shape memory eﬀect, superelasticity, biomaterials, titanium based alloy, titanium–niobium–zirconium, Hall–Petch relationship
Evaluation of confining effect in geogrid-reinforced retaining wall based on two-dimensional model test

Two-dimensional small model tests for simulating the geogrid-reinforced retaining wall have been performed to clarify the mobilized confining effects, comparing with the tensile ones in the model retaining wall. The reinforced effects are estimated by the changes of the active earth pressure in the retaining wall without and with geogrid-reinforcement. The characteristics of the resulting confining effect are investigated paying attention to the space of geogrid and the unit length of geogrid, which is prepared by cutting the reinforced material where the whole length is always the same. For the covering abstract see ITRD E125786.
Learning grounded finite-state representations from unstructured demonstrations

Robots exhibit flexible behavior largely in proportion to their degree of knowledge about the world. Such knowledge is often meticulously hand-coded for a narrow class of tasks, limiting the scope of possible robot competencies. Thus, the primary limiting factor of robot capabilities is often not the physical attributes of the robot, but the limited time and skill of expert programmers. One way to deal with the vast number of situations and environments that robots face outside the laboratory is to provide users with simple methods for programming robots that do not require the skill of an expert. For this reason, learning from demonstration (LfD) has become a popular alternative to traditional robot programming methods, aiming to provide a natural mechanism for quickly teaching robots. By simply showing a robot how to perform a task, users can easily demonstrate new tasks as needed, without any special knowledge about the robot. Unfortunately, LfD often yields little knowledge about the world, and thus lacks robust generalization capabilities, especially for complex, multi-step tasks. We present a series of algorithms that draw from recent advances in Bayesian non-parametric statistics and control theory to automatically detect and leverage repeated structure at multiple levels of abstraction in demonstration data. The discovery of repeated structure provides critical insights into task invariants, features of importance, high-level task structure, and appropriate skills for the task. This culminates in the discovery of a finite-state representation of the task, composed of grounded skills that are flexible and reusable, providing robust generalization and transfer in complex, multi-step robotic tasks. These algorithms are tested and evaluated using a PR2 mobile manipulator, showing success on several complex real-world tasks, such as furniture assembly.
Application Location Based Service (LBS) Location Search Palembang Nature-Based Android

With the development of information systems to make the operating system more diverse mobile devices, the emergence of the Android operating system that is open allows users to search for and acquire various information easily and quickly. Application Search Nature Places is an application that can help bring information on nearby Places Nature is all around. Can be used in the Android Operating System and Global Positioning System (GPS). To be able to use this application, users must be connected to the Internet because it requires data taken from Google Maps. The main facilities contained in this application is a feature that makes it Map and Route users in finding the intended location. With the LBS application is expected to provide information that is accurate, clear and precise to determine location points Nature Palembang, and can facilitate local and foreign tourists and the public, especially the city of Palembang.
Common Information Multicast with Different Data Rates

The task of multicast is to deliver common information to all users in a group. However, these users' different channel qualities result in their decoding capabilities being different. Therefore, the multicast design faces a dilemma to convey common information in terms of different decoding capabilities. Motivated by this, a multicast transmission scheme is proposed in this paper. In the proposed scheme, the base station transmitter prescribes the modulation and coding scheme to be used, considering the difference between the better channel-case and worse channel-case users' decoding capabilities, and the adaptive hierarchical modulation promises that each users can process the received signals according to his own decoding capabilities. Compared to the traditional multicast transmission with fixed data rate, the numerical results prove the efficiency of the proposed scheme in exploiting the users' decoding capabilities.
Glucagon-Like Peptide 1 Recruits Microvasculature and Increases Glucose Use in Muscle via a Nitric Oxide–Dependent Mechanism

Glucagon-like peptide 1 (GLP-1) increases tissue glucose uptake and causes vasodilation independent of insulin. We examined the effect of GLP-1 on muscle microvasculature and glucose uptake. After confirming that GLP-1 potently stimulates nitric oxide (NO) synthase (NOS) phosphorylation in endothelial cells, overnight-fasted adult male rats received continuous GLP-1 infusion (30 pmol/kg/min) for 2 h plus or minus NOS inhibition. Muscle microvascular blood volume (MBV), microvascular blood flow velocity (MFV), and microvascular blood flow (MBF) were determined. Additional rats received GLP-1 or saline for 30 min and muscle insulin clearance/uptake was determined. GLP-1 infusion acutely increased muscle MBV (P < 0.04) within 30 min without altering MFV or femoral blood flow. This effect persisted throughout the 120-min infusion period, leading to a greater than twofold increase in muscle MBF (P < 0.02). These changes were paralleled with increases in plasma NO levels, muscle interstitial oxygen saturation, hind leg glucose extraction, and muscle insulin clearance/uptake. NOS inhibition blocked GLP-1–mediated increases in muscle MBV, glucose disposal, NO production, and muscle insulin clearance/uptake. In conclusion, GLP-1 acutely recruits microvasculature and increases basal glucose uptake in muscle via a NO-dependent mechanism. Thus, GLP-1 may afford potential to improve muscle insulin action by expanding microvascular endothelial surface area.
e-mail authorship verification for forensic investigation

The Internet provides a convenient platform for cyber criminals to anonymously conduct their illegitimate activities, such as phishing and spamming. As a result, in recent years, authorship analysis of anonymous e-mails has received some attention in the cyber forensic and data mining communities. In this paper, we study the problem of authorship verification: given a set of e-mails written by a suspect along with an e-mail dataset collected from the sample population, we want to determine whether or not an anonymous e-mail is written by the suspect. To address the problem of authorship verification of textual documents and employ detection measures that are more suited in the context of forensic investigation, we borrow the NIST's speaker recognition evaluation (SRE) framework. Our experimental results on real world e-mail dataset suggest that the employed framework addresses the e-mail authorship verification problem with a matching success as in case of speaker verification. The proposed framework produces an average equal error rate of 15--20% and minDCF equal to 0.0671 (with 10-fold cross validation technique) in correctly verifying the author of a malicious e-mail.
Interactions of Campylobacter jejuni Cytolethal Distending Toxin Subunits CdtA and CdtC with HeLa Cells

ABSTRACT Campylobacter jejuni produces a toxin, called cytolethal distending toxin (CDT), which causes direct DNA damage leading to invocation of DNA damage checkpoint pathways. The affected cells arrest in G1 or G2 and eventually die. CDT consists of three protein subunits, CdtA, CdtB, and CdtC, with CdtB recently identified as a nuclease. However, little is known about the functions of CdtA or CdtC. In this work, enzyme-linked immunosorbent assay-based experiments were used to show, for the first time, that both CdtA and CdtC bound with specificity to the surface of HeLa cells, whereas CdtB did not. Varying the order of the addition of subunits for reconstitution of the holotoxin had no effect on activity. In addition, mutants containing deletions of conserved regions of CdtA and CdtC were able to bind to the surface of HeLa cells but were not able to participate in holotoxin assembly. Finally, both Cdt mutant subunits were able to effectively compete with CDT holotoxin in the HeLa cell binding assay.
Maximizing throughput multicast routing forwireless networks

Multicast routing for wireless networks has been widely studied in the literature. In this paper, we design efficient algorithm for maximizing multicast throughput in wireless networks. We assume that we are given a set of wireless devices. All wireless devices are assumed to have the uniform (or quasi-uniform) transmission ranges and have the uniform interference range (or quasi-uniform interference range). We further assume that each wireless node Vi will have a capacity Wi when no interference occurred during its transmission and it can transmit continuously. We present an efficient routing and node scheduling algorithms such that the achieved multicast capacity is within a constant factor of the optimum. Our theoretical throughput performance guarantees are proved under a various number interference models.
Photofabrication of a photonic crystal using interference of a UV laser

We have developed a method to fabricate photonic crystals using an interference pattern of laser beams. Photopolymerizable resin is used for solidifying a lattice. Interference of two beams forms a one-dimensional grid and a two-dimensional lattice, and that of three beams forms a three-dimensional hexagonal lattice. The experimental setup and the process of fabrication are described. The use of the structure to photonic crystal is also discussed.
Prediction of drug–target interaction networks from the integration of chemical and genomic spaces

Motivation: The identification of interactions between drugs and target proteins is a key area in genomic drug discovery. Therefore, there is a strong incentive to develop new methods capable of detecting these potential drug–target interactions efficiently. Results: In this article, we characterize four classes of drug–target interaction networks in humans involving enzymes, ion channels, G-protein-coupled receptors (GPCRs) and nuclear receptors, and reveal significant correlations between drug structure similarity, target sequence similarity and the drug–target interaction network topology. We then develop new statistical methods to predict unknown drug–target interaction networks from chemical structure and genomic sequence information simultaneously on a large scale. The originality of the proposed method lies in the formalization of the drug–target interaction inference as a supervised learning problem for a bipartite graph, the lack of need for 3D structure information of the target proteins, and in the integration of chemical and genomic spaces into a unified space that we call ‘pharmacological space’. In the results, we demonstrate the usefulness of our proposed method for the prediction of the four classes of drug–target interaction networks. Our comprehensively predicted drug–target interaction networks enable us to suggest many potential drug–target interactions and to increase research productivity toward genomic drug discovery. Availability: Softwares are available upon request. Contact: Yoshihiro.Yamanishi@ensmp.fr Supplementary information: Datasets and all prediction results are available at http://web.kuicr. kyoto-u.ac. jp/supp/yoshi/drugtarget/.
An Interactive Web-Based Visualization Tool in Action: User Testing and Usability Aspects

In this paper, we present our efforts in relation to the evaluation of an interactive web-based visualization tool developed for supporting environmental sciences learning. The tool enables the visualization of different types of geo-tagged content and sensor data collected using mobile devices. It also utilizes APIs that provide multiple visual representations of the data set. These representations allow users to actively interact with graphs, maps, images, and data tables. In order to test the usability, novelty and interactivity of our web-based visualization tool, we have conducted a study involving university students in the field of teaching environmental sciences. The results and analysis of the user testing indicate that the tool's usability and performance were satisfactory. Outcomes from the user testing have resulted in a number of concrete suggestions for further enhancement and improvements of our visualization tool in relation to application functionality, navigation and interaction.
Socially aware peers for futuristic web of things

Research in Internet of Things (IoT's) have surpassed the notions of connectivity and smartness, and entered into an era of sociable objects. A model based on socially-influenced interactions for “social objects” is presented to demonstrate its application and strength. Adopting an agent-based modeling method and simulation, a comparative study of competitive vs. cooperative behavior of peers in shared services scenario is presented. The simulation results reveal that social ability of the peers could result in substantial increase in quality of interactions between social objects.
Inhibition of voltage-gated calcium channels as common mode of action for (mixtures of) distinct classes of insecticides.

Humans are exposed to distinct structural classes of insecticides with different neurotoxic modes of action. Because calcium homeostasis is essential for proper neuronal function and development, we investigated the effects of insecticides from different classes (pyrethroid: (α-)cypermethrin; organophosphate: chlorpyrifos; organochlorine: endosulfan; neonicotinoid: imidacloprid) and mixtures thereof on the intracellular calcium concentration ([Ca(2+)]i). Effects of acute (20 min) exposure to (mixtures of) insecticides on basal and depolarization-evoked [Ca(2+)]i were studied in vitro with Fura-2-loaded PC12 cells and high resolution single-cell fluorescence microscopy. The data demonstrate that cypermethrin, α-cypermethrin, endosulfan, and chlorpyrifos concentration-dependently decreased depolarization-evoked [Ca(2+)]i, with 50% (IC50) at 78nM, 239nM, 250nM, and 899nM, respectively. Additionally, acute exposure to chlorpyrifos or endosulfan (10μM) induced a modest increase in basal [Ca(2+)]i, amounting to 68 ± 8nM and 53 ± 8nM, respectively. Imidacloprid did not disturb basal or depolarization-evoked [Ca(2+)]i at 10μM. Following exposure to binary mixtures, effects on depolarization-evoked [Ca(2+)]i were within the expected effect additivity range, whereas the effect of the tertiary mixture was less than this expected additivity effect range. These results demonstrate that different types of insecticides inhibit depolarization-evoked [Ca(2+)]i in PC12 cells by inhibiting voltage-gated calcium channels (VGCCs) in vitro at concentrations comparable with human occupational exposure levels. Moreover, the effective concentrations in this study are below those for earlier described modes of action. Because inhibition of VGCCs appears to be a common and potentially additive mode of action of several classes of insecticides, this target should be considered in neurotoxicity risk assessment studies.
A simple second-order consensus and formation control for multi-vehicle systems

In this paper, we propose a simple consensus algorithm for systems modeled by second-order dynamics, and derive necessary and sufficient conditions under which consensus can be reached based on algebraic graph theory and matrix analysis. We apply the simple second-order consensus algorithm to tackle formation control problems. The second-order consensus protocol and a multi-vehicle system formation control example are shown in simulation to illustrate our strategies.
Application of paraelectric to a miniature capacitive energy harvester realizing several tens micro watt — Relationship between polarization hysteresis and output power

We previously proposed a vertical type vibratory energy harvester using polymer electret and dielectric. A proof mass consists of counter electrode and dielectric beneath it, which faces with electret on base electrode fabricated on a substrate. A narrow gap between mass and electret is feasible, since dielectric prevents discharge from electret to counter electrode. The narrow gap leads to large output power. In this article, we propose to use paraelectric as the dielectric material instead of previously used ferroelectric, taking account that ferroelectric has a severe hysteresis on polarization-electric field (PE) characteristics, which may cause energy loss. We experimentally prove the superiority of paraelectric (compounded TiO2-BaO, εr: 100) to ferroelectric (Pb(Zr, Ti)O3, εr: 2,600) in terms of output power. A miniature harvester with paraelectric employing double swastika-shaped springs for suppressing unwanted vibration modes generated 45 μW for free vibration at 20 Hz/0.8 mm amplitude (acceleration: 1.3 g).
Characteristics of Some Lactic Acid Bacteria Used as Starter Cultures in Dry Sausage Production

The fermentation characteristics of two commercial (Duploferment 66 and Saga II) and five Norwegian lactic acid bacteria used in dry sausage production were compared with those of Lactobacillus plantarum ATCC 8014. The Norwegian strains lacked the ability to ferment mannitol, sorbitol, lactose, and d-(+)-raffinose and grew at 8 but not at 42°C, in contrast to the ATCC culture and the two commercial strains. The lactate dehydrogenase activity of the Norwegian strains was not stimulated by pyruvate. All strains were capable of peroxide destruction when grown in the presence of myoglobin.
An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations

For general non‐linear parametrized partial differential equations (PDEs), the standard Galerkin projection is no longer efficient to generate reduced‐order models. This is because the evaluation of the integrals involving the non‐linear terms has a high computational complexity and cannot be pre‐computed. This situation also occurs for linear equations when the parametric dependence is nonaffine. In this paper, we propose an efficient approach to generate reduced‐order models for large‐scale systems derived from PDEs, which may involve non‐linear terms and nonaffine parametric dependence. The main idea is to replace the non‐linear and nonaffine terms with a coefficient‐function approximation consisting of a linear combination of pre‐computed basis functions with parameter‐dependent coefficients. The coefficients are determined efficiently by an inexpensive and stable interpolation at some pre‐computed points. The efficiency and accuracy of this method are demonstrated on several test cases, which show significant computational savings relative to the standard Galerkin projection reduced‐order approach. Copyright © 2008 John Wiley & Sons, Ltd.
A comparison between developmental and direct encodings. An update of the GECCO 2006 Paper 'The Dead State'

A comparison between developmental and direct encodings. An update of the GECCO 2006 Paper 'The Dead State' The original paper seems to be not included in the proceedings, see here: http://www.informatik. uni-trier.de/~ley/db/conf/gecco/gecco2006.html and here: http://portal.acm. org/citation.cfm? id=1143997
An Alternative System Identification Method for Friction Stir Processing

An Alternative System Identification Method for Friction Stir Processing Dustin J. Marshall Department of Mechanical Engineering, BYU Master of Science Temperature control has been implemented in friction stir processing and has demonstrated the ability to give improved process control. In order to have optimal control of the process, the parameters of the system to be controlled must be accurately identified. The system parameters change with tool geometry and materials, workpiece materials, and temperature. This thesis presents the use of the relay feedback test to determine the system parameters. The relay feedback test is easy to use and promotes system stability during its use. The results from the relay feedback test can be used to determine controller gains for a PID controller. The use of this method, as well as the quality of the resulting control is demonstrated in this paper.