Miracle-dz/UniFAR-FTUs huggingface dataset:
A Treatment-Relevant Classification of Psychotic Disorders

It may be sobering to be reminded that “chlorpromazine has turned forty” 121, but it should prompt great concern that the concept of dementia praecox is about to turn 100 [3] without any fundamental change. Normally this would indicate nearing the end of the life cycle; yet while there has been a series of mid-life crises and dissent surfaces intermittently (as exemplified in the above quotation) dementia praecox approaches its centenary with a strengthened identity and enshrined in the diagnostic manuals of psychiatry in slightly revised form, as “schizophrenia” [4,5]. To be fair to Kraepelin himself, he modified his own thinking substantially during his long career, coming to reject the dichotomous model and embracing a more flexible approach. His legacy however derives from his earliest nosological framework, which created an essentially binary model of functional psychosis. Why is this enduring legacy cause for concern? Firstly, despite burgeoning technological expertise the binary model has failed to contribute to any significant clarification of the underlying substrates of
How to Find Relevant Data for Effort Estimation?

Background: Building effort estimators requires the training data. How can we find that data? It is tempting to cross the boundaries of development type, location, language, application and hardware to use existing datasets of other organizations. However, prior results caution that using such cross data may not be useful. Aim: We test two conjectures: (1) instance selection can automatically prune irrelevant instances and (2) retrieval from the remaining examples is useful for effort estimation, regardless of their source. Method: We selected 8 cross-within divisions (21 pairs of within-cross subsets) out of 19 datasets and evaluated these divisions under different analogy-based estimation (ABE) methods. Results: Between the within & cross experiments, there were few statistically significant differences in (i) the performance of effort estimators, or (ii) the amount of instances retrieved for estimation. Conclusion: For the purposes of effort estimation, there is little practical difference between cross and within data. After applying instance selection, the remaining examples (be they from within or from cross source divisions) can be used for effort estimation.
Sequence analysis of Enterococcus faecalis aggregation substance encoded by the sex pheromone plasmid pAD1

The location of the structural gene for aggregation substance on the sex pheromone plasmid pAD1 of Enterococcus faecalis was determined using an oligonucleotide deduced from the N‐terminal amino acid sequence of the purified protein. The nucleotide sequence was determined for the corresponding region and two open reading frames (ORFs) could be identified. ORF1 codes for a small (Mr 13160) acidic protein of unknown function. The gene for aggregation substance (named asa1 was found to code for a protein of 1296 amino acids (Mr 142248). The protein has a signal peptide of 43 amino acids (the resulting (Mr for mature aggregation substance is 137429) and contains in its C‐terminal region a proline‐rich sequence, previously characterized as being involved in cell wall association, which is followed by a membrane anchor. The membrane anchor showed significant similarity to that of other Gram‐positive organisms, but no other similarities to surface proteins from Gram‐positive bacteria were found. In particular, no repeats on the DNA or protein level could be detected for pAD1‐specific aggregation substance. The protein contains the amino acid motifs Arg‐Gly‐Asp‐Ser and Arg‐Gly‐Asp‐Val (once each), which, it is proposed, play a crucial role in adherence to eukaryotic cells.
Healthy human CSF promotes glial differentiation of hESC-derived neural cells while retaining spontaneous activity in existing neuronal networks

Summary The possibilities of human pluripotent stem cell-derived neural cells from the basic research tool to a treatment option in regenerative medicine have been well recognized. These cells also offer an interesting tool for in vitro models of neuronal networks to be used for drug screening and neurotoxicological studies and for patient/disease specific in vitro models. Here, as aiming to develop a reductionistic in vitro human neuronal network model, we tested whether human embryonic stem cell (hESC)-derived neural cells could be cultured in human cerebrospinal fluid (CSF) in order to better mimic the in vivo conditions. Our results showed that CSF altered the differentiation of hESC-derived neural cells towards glial cells at the expense of neuronal differentiation. The proliferation rate was reduced in CSF cultures. However, even though the use of CSF as the culture medium altered the glial vs. neuronal differentiation rate, the pre-existing spontaneous activity of the neuronal networks persisted throughout the study. These results suggest that it is possible to develop fully human cell and culture-based environments that can further be modified for various in vitro modeling purposes.
Classification guided differential evolution

Differential evolution (DE) is an efficient and powerful evolutionary algorithm for numerical optimization. In DE, different search strategies are presented. Generally, different strategies are suitable to different problems, whereas it is difficult to select the best one for a problem at hand. In this paper, we propose a multi-strategy based DE framework based on the classification technique. More specifically, a set of candidate trial vectors are generated by using the multiple strategies, and the best one is chosen as the trial vector according to the classification technique. As an illustration, the extreme learning machine (ELM) is selected as the classification method in our framework. Then, four state-of-the-art DE variants (i.e., SaDE, CoDE, EPSDE, and JADE) are integrated into the framework to implement multi-strategy adaptation in DE. The proposed variants are extensively evaluated on a suite of 13 benchmark optimization problems. Experimental results show that our approach is very competitive with state-of-the-art DE variants.
Increasing the chromatic number of a random graph

What is the minimum number of edges that have to be added to the random graph $G=G_{n,0.5}$ in order to increase its chromatic number $\chi=\chi(G)$ by one percent ? One possibility is to add all missing edges on a set of $1.01 \chi$ vertices, thus creating a clique of chromatic number $1.01 \chi$. This requires, with high probability, the addition of $\Omega(n^2/\log^2 n)$ edges. We show that this is tight up to a constant factor, consider the question for more general random graphs $G_{n,p}$ with $p=p(n)$, and study a local version of the question as well. The question is motivated by the study of the resilience of graph properties, initiated by the second author and Vu, and improves one of their results.
Decreased prevalence of dementia associated with statins: a national population‐based study

Dementia is a neurodegenerative disorder that presents a progressive decline in cognitive function and loss of short‐term memory with age. Several studies have shown that statin, an oral lipid‐lowering drug, may reduce the risk of developing dementia. The objective of this study is to explore the association between statin and the development of dementia.
Physicochemical characterization of pure persimmon juice: nutritional quality and food acceptability.

Technological process for production of non-astringent persimmon (Diospyros kaki Thunb. cv. "Rojo Brillante") juice was described. The degree of fruit ripening expressed as color index (CI) varied between 12.37 and 16.33. Persimmon juice was characterized by determining physicochemical quality parameters as yield, total soluble solids (TSS), pH, titratable acidity (TA), organic acids, and main sugars. A thermal treatment of 90 ºC for 10 s was effective in controlling naturally occurring microorganisms for at least 105 d of storage without significantly affecting production of soluble brown pigments (BPs) and 5-hydroxymethyl furfural (5-HMF), total phenolic compounds (TPC), antioxidant capacity and acceptability of juice by panelists. Storage time affected all and each of the above parameters, reducing BPs, TPC and antioxidant capacity but increasing 5-HMF content. Refrigerated storage enhanced the acceptability of the juices. This information may be used by the juice industry as a starting point for production of pure persimmon juices.
ASAHI: OK for failure A robot for supporting daily life, equipped with a robot avatar

This paper introduces a daily-life-support robot, ASAHI. ASAHI is equipped with a robot avatar, which converses with the user using speech and gesture. He can perform a simple support task, such as bringing an object, as well as following the user to move around the floor. The feature of ASAHI is that it has an ability to recover from failures such as misrecognition of objects or losing the person it is following, by communicating with the user and expressing the robot's internal states.
Quantifying Proprioceptive Reflexes During Position Control of the Human Arm

This study aimed to analyse the dynamic properties of the muscle spindle feedback system of shoulder muscles during a posture task. External continuous force disturbances were applied at the hand while subjects had to minimize their hand displacements. The results were analysed using two frequency response functions (FRFs) from which the model parameters were derived, being 1) the mechanical admittance and 2) the reflexive impedance. These FRFs were analysed by a neuromusculoskeletal model that implicitly separates the reflexive feedback properties (position, velocity and acceleration feedback gains) from intrinsic muscle visco-elasticity. The results show substantial changes in estimated reflex gains under conditions of variable bandwidth of the applied force disturbance or variable degrees of external damping. Position and velocity feedback gains were relatively larger when the force disturbance contained only low frequencies. With increasing damping of the environment, acceleration feedback gain decreased, velocity feedback gain remained almost constant and position feedback gain increased. It is concluded that under the aforementioned circumstances, the reflex system increases its gains to maximize the mechanical resistance to external force disturbances while preserving sufficient stability.
Tribological Properties of Nano/Micro-Patterned PMMA Surfaces on Silicon Wafer

Nano/micro-patterns made of polymethyl methacrylate (PMMA) that are biomimetic in nature, were fabricated on silicon wafer using capillary force lithography. Patterns with three different aspect ratios were investigated for their adhesion and friction properties at nano-scale using AFM, and for friction at micro-scale using mirco-tribo tester. The patterned samples exhibited superior tribological properties, both at nano and micro-scales when compared to that of the non-patterned PMMA thin film.Copyright © 2005 by ASME
Sensor-Based Cooperative Multi-Robot 3D Environment Reconstruction

In this paper, we discuss the task of unknown environment exploration with a team of robots. The goal is to reconstruct the 3D scene from onboard sensor data. There are mainly three problems involved: reconstruction, motion planning, and multiple robot collaboration. First we introduce the principal algorithms of reconstruction 3D models from difierent kinds of vision sensors. Given the 3D model, feature-based localization combined with probability framework can be used to locate each of the robots. Then the problem is to plan the next moving step for every robot. In the multiple robots situation, we not only have to consider collision avoidance between robots, but also make the full use of multiple robots collaboration. Finally, we conclude that it is feasible and more e‐cient to have robot team exploration.
The Expression Pattern of the Na+ Sensor, NaX in the Hydromineral Homeostatic Network: A Comparative Study between the Rat and Mouse

The Scn7a gene encodes for the specific sodium channel NaX, which is considered a primary determinant of sodium sensing in the brain. Only partial data exist describing the NaX distribution pattern and the cell types that express NaX in both the rat and mouse brain. To generate a global view of the sodium detection mechanisms in the two rodent brains, we combined NaX immunofluorescence with fluorescent cell markers to map and identify the NaX-expressing cell populations throughout the network involved in hydromineral homeostasis. Here, we designed an anti-NaX antibody targeting the interdomain 2–3 region of the NaX channel’s α-subunit. In both the rat and mouse, NaX immunostaining was colocalized with vimentin positive cells in the median eminence and with magnocellular neurons immunopositive for neurophysin associated with oxytocin or vasopressin in both the supraoptic and paraventricular nuclei. NaX immunostaining was also detected in neurons of the area postrema. In addition to this common NaX expression pattern, several differences in NaX immunostaining for certain structures and cell types were found between the rat and mouse. NaX was present in both NeuN and vimentin positive cells in the subfornical organ and the vascular organ of the lamina terminalis of the rat whereas NaX was only colocalized with vimentin positive cells in the mouse circumventricular organs. In addition, NaX immunostaining was specifically observed in NeuN immunopositive cells in the median preoptic nucleus of the rat. Overall, this study characterized the NaX-expressing cell types in the network controlling hydromineral homeostasis of the rat and mouse. NaX expression pattern was clearly different in the nuclei of the lamina terminalis of the rat and mouse, indicating that the mechanisms involved in systemic and central Na+ sensing are specific to each rodent species.
Intracranial fine simulations based on a four layers craniocerebral model

Magnetic induction tomography (MIT) is an effective brain health monitoring system. The application and the data analysis of the MIT system are difficult because of the uneven distribution of intracranial electrical characteristics. To study the effect of the intracranial main ingredients on the MIT signal, a four layers craniocerebral model was put forward in this paper, which was established according to the human physiological structure. First of all, a skull model was established according to the anatomic structure. Structures of the skull model including eyes, occipital bone and frontal bone were revised. And brain parenchyma, cerebral spinal and head cortex were added on that basis. Finally, we analyzed the conductivity characteristics of each part of the organizational structure. The model was put into the MIT system. And the induced current data of the model was gained. It provides a reference for the design of the MIT system.
A NOVEL HANDOVER ALGORITHM FOR LTE BASED MACRO-FEMTO HETEROGENEOUS NETWORKS

This paper presents a novel Handover mechanism to minimize target Femto Access Points (FAPs) list during macro-to-femto and femto-to-femto handover in LTE based Macro-Femto Heterogeneous Networks. HandOver is the procedure that transfers an ongoing call from one cell to another as the users move through the coverage area of cellular system. The femtocell has a limited coverage area (15 meters to 30 meters), and subsequently, HandOver is decided based on mobile User Equipment (UE) speed for handover between macrocell-to-femtocell and femtocell-to-femtocell. In the existing networks, for handover procedure, serving Base Station will decide the cell selection based on mostly the signal strength of the neighbouring femtocells. This information is provided by the Measurement Reports sent by the corresponding UE. In this paper, we present a novel handover management scheme which considers both the Received Signal Strength and Cell Load of the target Femtocells for making the Handover decision. This proposed scheme for macro-femto heterogeneous network reduces the number of target FAPs to avoid handover to overloaded femtocells and also reduce the number of handovers.
Model checking on TLM-2.0 IPs through automatic TLM-to-RTL synthesis

Transaction-level modeling (TLM) is the leading design style to deal with the increasing complexity of modern embedded systems. TLM provides designers with high-level interfaces and communication protocols for abstract modeling and efficient simulation of system platforms. The Open SystemC Initiative (OSCI) has recently released the TLM-2.0 standard for facilitating the interchange of models between suppliers and users, and thus encouraging the use of virtual platforms for fast simulation prior to the availability of register-transfer level (RTL) code. On the other hand, verification of TLM IPs still relies on simulation-based techniques since formal verification methodologies (such as model checking) and tools are not mature enough to be applied at TLM level. In this paper, we propose a methodology to apply existing RTL model checkers for verifying TLM IPs. The methodology relies on the automatic synthesis of the TLM IP models into equivalent RTL descriptions, in order to verify the TLM properties through the equivalent RTL model of the IPs.
Compressive sensing for through-the-wall radar imaging

Abstract. Through-the-wall radar imaging (TWRI) is emerging as a viable technology for providing high-quality imagery of enclosed structures. TWRI makes use of electromagnetic waves to penetrate through building wall materials. Due to the “see” through ability, TWRI has attracted much attention in the last decade and has found a variety of important civilian and military applications. Signal processing algorithms have been devised to allow proper imaging and image recovery in the presence of high clutter, which is caused by front walls and multipath due to reflections from internal walls. Recently, research efforts have shifted toward effective and reliable imaging under constraints on aperture size, frequency, and acquisition time. In this respect, scene reconstructions are being pursued with reduced data volume and within the emerging compressive sensing (CS) framework. We present a review of the CS-based scene reconstruction techniques that address the unique challenges associated with fast and efficient imaging in urban operations. Specifically, we focus on ground-based imaging systems for indoor targets. We discuss CS-based wall mitigation, multipath exploitation, and change detection for imaging of stationary and moving targets inside enclosed structures.
Species-Specific Recognition of Single-Stranded RNA via Toll-like Receptor 7 and 8

Double-stranded ribonucleic acid (dsRNA) serves as a danger signal associated with viral infection and leads to stimulation of innate immune cells. In contrast, the immunostimulatory potential of single-stranded RNA (ssRNA) is poorly understood and innate immune receptors for ssRNA are unknown. We report that guanosine (G)- and uridine (U)-rich ssRNA oligonucleotides derived from human immunodeficiency virus–1 (HIV-1) stimulate dendritic cells (DC) and macrophages to secrete interferon-α and proinflammatory, as well as regulatory, cytokines. By using Toll-like receptor (TLR)–deficient mice and genetic complementation, we show that murine TLR7 and human TLR8 mediate species-specific recognition of GU-rich ssRNA. These data suggest that ssRNA represents a physiological ligand for TLR7 and TLR8.
Expression of gap junction proteins connexins 26, 30, and 43 in Dupuytren’s disease

Background and purpose Dupuytren’s disease (DD) is a benign fibroproliferative process of the palmar aponeurosis showing similarities to wound healing. Communication of cells involved in wound healing is mediated by the composition of gap junction (GJ) proteins. We investigated the expression of 3 GJ proteins, connexins 26, 30, and 43 (Cx26, Cx30, and Cx43) in DD. Patients and methods Fragments of Dupuytren’s tissue from 31 patients (mean age 56 (30–76) years, 24 male) were analyzed immunohistochemically and compared to control tissue for expression of the GJ proteins Cx26, Cx30, and Cx43 and also alfa-smooth muscle actin (α-SMA). Results 14 of 31 samples could be attributed to the involutional phase (α-SMA positive) whereas 17 samples had to be considered cords in the residual phase (α-SMA negative). Expression of Cx26 and Cx43 was seen in 12 of the 14 samples from the involutional phase, and Cx30 was seen in 7 of these. Only 4 of the 17 samples from the residual phase showed any Cx, and there was none in the controls. Interpretation The high expression of GJ proteins Cx26, Cx30, and Cx43 in α-SMA positive myofibroblast-rich nodules, which are characteristic of the active involutional phase of DD, suggests that connexins could be a novel treatment target for the treatment of DD.
European Option Pricing under Fractional Stochastic Interest Rate Model

Under the assumption of stock price and interest rate obeying the stochastic differential equation driven by fractional Brownian motion, we establish the mathematical model for the financial market in fractional Brownian motion setting. Using the risk hedge technique, fractional stochastic analysis and PDE method, we obtain the general pricing formula for the European option with fractional stochastic interest rate. By choosing suitable Hurst index, we can calibrate the pricing model, so that the price can be used as the actual price of option and control the risk management
Genetic-Based Optimal Design of a PID Controller for Substrate Temperature in a HFCVD System

In large-area HFCVD system, substrate temperature is a key factor which deeply affects the quality of diamond films. It is hard for traditional PID method to control the temperature efficiently. This paper presents a genetic- based PID control scheme for the control of in HFCVD system. Computer simulation and experiment on the system are performed. The results show that the controller designed upon GAs has good dynamic quality and steady-state precision, could meet well the need of the temperature control during depositing diamond films.
The formation mechanism of barium titanate thin film under hydrothermal conditions

Barium titanate thin films were produced under the hydrothermal conditions, and their formation mechanism was investigated. The phase structure and surface morphology of the resultant films were directly dependent on the reaction conditions. The films that have a reaction time shorter than 8 h below the processing temperature of 150 °C in the 0.8 N Ba(OH)_2 solution were composed of compounds with the component ratio m (Ba)/ m (Ti) < 1, and a flower-like surface morphology. With extended reaction time under the higher temperature, the films showed a multiphase structure and a mosaic or island-like surface morphology. In the case of 1.0 N, 1.5 N Ba(OH)_2 solution, well-crystallized, monoperovskite BaTiO_3 thin films having uniform, mirror-like, and visible-defectless surfaces were produced at a processing temperature of 180 °C after 24 h. The experimental results were explained by hypothesizing that the formation mechanism consists of a “dissolutions-crystallization process”.