Miracle-dz/UniFAR-FTUs huggingface dataset:
Using the Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess the cognitive impact of electroconvulsive therapy on visual and visuospatial memory

Background The cognitive impact of electroconvulsive therapy (ECT) is rarely measured systematically in everyday clinical practice even though patient and clinician acceptance is limited by its adverse affect on memory. If patients are tested it is often with simple paper and pencil tests of visual or verbal memory. There are no reported studies of computerized neuropsychological testing to assess the cognitive impact of ECT on visuospatial memory. Method Twenty-four patients with severe depression were treated with a course of bilateral ECT and assessed with a battery of visual memory tests within the Cambridge Neuropsychological Test Automated Battery (CANTAB). These included spatial and pattern recognition memory, pattern-location associative learning and a delayed matching to sample test. Testing was carried out before ECT, during ECT, within the week after ECT and 1 month after ECT. Results Patients showed significant impairments in visual and visuospatial memory both during and within the week after ECT. Most impairments resolved 1 month following ECT; however, significant impairment in spatial recognition memory remained. This is one of only a few studies that have detected anterograde memory deficits more than 2 weeks after treatment. Conclusions Patients receiving ECT displayed a range of visual and visuospatial deficits over the course of their treatment. These deficits were most prominent for tasks dependent on the use of the right medial temporal lobe; frontal lobe function may also be implicated. The CANTAB appears to be a useful instrument for measuring the adverse cognitive effects of ECT on aspects of visual and visuospatial memory.
Inhibition of mitochondrial fatty acid oxidation in vivo only slightly suppresses gluconeogenesis but enhances clearance of glucose in mice

Mitochondrial fatty acid oxidation (mFAO) is considered to be essential for driving gluconeogenesis (GNG) during fasting. However, quantitative in vivo data on de novo synthesis of glucose‐6‐phosphate upon acute inhibition of mFAO are lacking. We assessed hepatic glucose metabolism in vivo after acute inhibition of mFAO by 30 mg kg−1 2‐tetradecylglycidic acid (TDGA) in hypoketotic hypoglycemic male C57BL/6J mice by the infusion of [U‐13C]glucose, [2‐13C]glycerol, [1‐2H]galactose, and paracetamol for 6 hours, which was followed by mass isotopomer distribution analysis in blood glucose and urinary paracetamol‐glucuronide. During TDGA treatment, endogenous glucose production was unaffected (127 ± 10 versus 118 ± 7 μmol kg−1 minute−1, control versus TDGA, not significant), but the metabolic clearance rate of glucose was significantly enhanced (15.9 ± 0.9 versus 26.3 ± 1.1 mL kg−1 minute−1, control versus TDGA,P < 0.05). In comparison with control mice, de novo synthesis of glucose‐6‐phosphate (G6P) was slightly decreased in TDGA‐treated mice (108 ± 19 versus 85 ± 6 μmol kg−1 minute−1, control versus TDGA, P < 0.05). Recycling of glucose was decreased upon TDGA treatment (26 ± 14 versus 12 ± 4 μmol kg−1 minute−1, control versus TDGA, P < 0.05). Hepatic messenger RNA (mRNA) levels of genes encoding enzymes involved in de novo G6P synthesis were unaltered, whereas glucose‐6‐phosphate hydrolase mRNA expressions were increased in TDGA‐treated mice. Glucokinase and pyruvate kinase mRNA levels were significantly decreased, whereas pyruvate dehydrogenase kinase isozyme 4 expression was increased 30‐fold; this suggested decreased glycolytic activity. Conclusion: Acute pharmacological inhibition of mFAO using TDGA had no effect on endogenous glucose production and only a marginal effect on de novo G6P synthesis. Hence, fully active mFAO is not essential for maintenance of hepatic GNG in vivo in fasted mice. (HEPATOLOGY 2008.)
Topological quantum phase transitions on the kagomé and square–octagon lattices

We study the topological quantum phase transitions of tight-binding electrons on two representative multi-band lattice models with superimposed staggered fluxes: the kagomé lattice and the square–octagon lattice. By considering the nearest-neighbor and next-nearest-neighbor hopping parameters (t1 and t2) and the staggered flux parameter ϕ, we obtain rich topological quantum phase transitions for both the lattices. The whole phase diagram for the kagomé lattice in the t2–ϕ parameter space is obtained. We also illustrate a series of topological quantum phase transitions as well as topological bands of high Chern numbers for the square–octagon lattice. Furthermore, interesting topological flat bands with high flatness ratios (e.g. of about 43) are found in the square–octagon lattice, especially when the next-next-nearest-neighbor hopping (t3) is included.
Hybrid Automatic-Repeat-reQuest Systems for Cooperative Wireless Communications

Hybrid-Automatic-Repeat-reQuest H-ARQ has become an indispensable technique in reliable communication systems. Hence, in this paper we review the state-of-art and investigate the performance of H-ARQ in the context of cooperative wireless communications. As a novel advance, we also propose a relay-switching regime based H-ARQ scheme, which is capable of increasing the achievable system throughput as confirmed by both theory and practice. Furthermore, we evaluate the achievable upper-bound performance in the context of perfect Channel State Information CSI. Then we proceed to quantify the performance erosion imposed by realistic CSI-based-coherent detection as well as low complexity non-coherent detection assisted cooperative H-ARQ. Finally, we propose a general design guide-lines for H-ARQ aided cooperative systems.
CREBH Determines the Severity of Sulpyrine-Induced Fatal Shock

Although the pyrazolone derivative sulpyrine is widely used as an antipyretic analgesic drug, side effects, including fatal shock, have been reported. However, the molecular mechanism underlying such a severe side effect is largely unclear. Here, we report that the transcription factor CREBH that is highly expressed in the liver plays an important role in fatal shock induced by sulpyrine in mice. CREBH-deficient mice were resistant to experimental fatal sulpyrine shock. We found that sulpyrine-induced expression of cytochrome P450 2B (CYP2B) family genes, which are involved in sulpyrine metabolism, in the liver was severely impaired in CREBH-deficient mice. Moreover, introduction of CYP2B in CREBH-deficient liver restored susceptibility to sulpyrine. Furthermore, ectopic expression of CREBH up-regulated CYP2B10 promoter activity, and in vivo knockdown of CREBH in wild-type mice conferred a significant resistance to fatal sulpyrine shock. These data demonstrate that CREBH is a positive regulator of CYP2B in response to sulpyrine administration, which possibly results in fatal shock.
Tris(ethylene diamine) nickel acetate as a promising precursor for hole transport layer in planar structured perovskite solar cells

Owing hysteresis free characteristics and good reproducibility, inverted p-i-n perovskite solar cells (PSC) are gaining large interest in the photovoltaic field. In this context, the need for stable materials calls for the development of robust transporting layers compatible with the fabrication processes of the solar cell. In this study, we introduce a new precursor, tris(ethylene diamine) nickel acetate, for low temperature (280–300 °C) deposition of NiO hole transporting layer. Full characterization of the deposited NiO film layer was performed through XRD, Raman and Auger spectroscopy. We found a direct correlation between device performance and NiO thickness with maximum efficiency exceeding 15% for the thin NiO (10 nm) layer.
Learning polyline maps from range scan data acquired with mobile robots

Geometric representations of the environment play an important role in mobile robotics as they support various tasks such as motion control and accurate localization. Popular approaches to represent the geometric features of an environment are occupancy grids or line models. Whereas occupancy grids require a huge amount of memory and therefore do not scale well with the size of the environment, line models are unable to correctly represent corners or connections between objects. In this paper we present an algorithm that learns sets of polylines from laser range scans. Starting with an initial set of polylines generated from the range scans it iteratively optimizes these polylines using the Bayesian information criterion. During the optimization process our algorithm utilizes information about the angles between line segments extracted from the original range scans. We present experiments illustrating that our algorithm is able to learn accurate and highly compact polyline maps from laser range data obtained with mobile robots.
How to prepare cytological samples for molecular testing

This review is focused on the challenges in standardising and optimising molecular testing workflow in cytopathology. Although cytological samples yield optimal quality DNA, whose minimal amounts in most cases suffice even for multigene mutational profiling, the success of molecular testing is strongly dependent on standardised preanalytical protocols for maximising DNA yield and quality. Sample cytopreparation influences, even more, the quality of RNA and consequently the potential success of reverse transcription-PCR. Here, the educational and technical involvement of the cytopathologist as a relevant component of a multidisciplinary team, in the issues related to test request, specimen collection, fixation, processing, staining, tumour fraction enrichment, DNA quality/quantity assessment and storage conditions is discussed. In addition, the specific sample requirements related to more recent technological developments are examined, underlining the modern role of the cytopathologist, whose continuous education is crucial to meet the opportunities of molecular medicine.
IcoNoClast: Tackling Voltage Noise in the NoC Power Supply Through Flow-Control and Routing Algorithms

Power supply noise (PSN) is a growing concern in modern multiprocessor system-on-chips (MPSoCs). The advent of new architectures, such as the network-on-chip (NoC), the standard for on-chip communication in MPSoCs, has given rise to new challenges in maintaining reliable and energy-efficient operation. The growing NoC power footprint, increase in the transistor current, and high switching speed of the logic devices exacerbate the peak PSN in the NoC power delivery network (PDN). Hence, preserving power supply integrity in the NoC PDN is critical. In this paper, we propose IcoNoClast, a collection of a novel flow-control protocol (PAF) and an adaptive routing algorithm (PSN-aware routing), to mitigate the PSN in NoCs. Our best scheme achieves ~15% and ~12% improvements in the regional peak PSN and energy efficiency across a range of PARSEC benchmarks, with a 4.1% performance overhead and marginal area and power footprints.
Development of hypothalamic serotoninergic neurons requires Fgf signalling via the ETS-domain transcription factor Etv5b

Serotonin is a monoamine neurotransmitter that is involved in numerous physiological functions and its dysregulation is implicated in various psychiatric diseases. In all non-placental vertebrates, serotoninergic (5-HT) neurons are present in several regions of the brain, including the hypothalamus. In placental mammals, however, 5-HT neurons are located in the raphe nuclei only. In all species, though, 5-HT neurons constitute a functionally and molecularly heterogeneous population. How the non-raphe 5-HT populations are developmentally encoded is unknown. Using the zebrafish model we show that, in contrast to the raphe populations, hypothalamic 5-HT neurons are generated independently of the ETS-domain transcription factor Pet1 (Fev). By applying a combination of pharmacological tools and gene knockdown and/or overexpression experiments, we demonstrate that Fgf signalling acts via another ETS-domain transcription factor, Etv5b (Erm), to induce hypothalamic 5-HT neurons. We provide evidence that Etv5b exerts its effects by regulating cell cycle parameters in 5-HT progenitors. Our results highlight a novel role for Etv5b in neuronal development and provide support for the existence of a developmental heterogeneity among 5-HT neurons in their requirement for ETS-domain transcription factors.
Query suggestion using hitting time

Generating alternative queries, also known as query suggestion, has long been proved useful to help a user explore and express his information need. In many scenarios, such suggestions can be generated from a large scale graph of queries and other accessory information, such as the clickthrough. However, how to generate suggestions while ensuring their semantic consistency with the original query remains a challenging problem. In this work, we propose a novel query suggestion algorithm based on ranking queries with the hitting time on a large scale bipartite graph. Without involvement of twisted heuristics or heavy tuning of parameters, this method clearly captures the semantic consistency between the suggested query and the original query. Empirical experiments on a large scale query log of a commercial search engine and a scientific literature collection show that hitting time is effective to generate semantically consistent query suggestions. The proposed algorithm and its variations can successfully boost long tail queries, accommodating personalized query suggestion, as well as finding related authors in research.
A new antimicrobial and radical-scavenging glycoside from Paullinia pinnata var. cameroonensis

A new glycoside, pinnatoside A (1), together with two known compounds (2 and 3), were isolated from the stems of Paullinia pinnata. Their structures were elucidated on the basis of extensive spectroscopic analysis and chemical methods. Compound 1 showed significant antibacterial activity with a minimum inhibitory concentration (MIC) value of 1.56 μg/mL against Escherichia coli, and 2 displayed significant antibacterial activity with a MIC value of 1.56 μg/mL against Enterobacter aerogenes and E. coli. Equally, compound 1 exhibited the best radical-scavenging activity (RSa50 = 25.07 ± 0.49 μg/mL).
A new type of direct-drive variable-reluctance actuators for industrial automation

Most advanced manufacturing processes require highspeed and high precision motion control for material transfer, packaging, assembly, and electrical wiring. Examples are surface mounting of electronic components, wire bonding of semiconductor chips, and assembly of watches and hard disks. To achieve precise motion control, most of these high-performance manufacturing machines use rotary d.c. or a.c. motors as the prime motion actuator, and couple their output shafts to mechanical motion translators (e.g. reduction gear, belt, ball screw, etc.). Though this is the most widely used method, it has disadvantages of reduced accuracy, complex mechanical structure, difficult adjustments and alignments, high production cost, and low reliability. in this paper, the author proposes a new direction in high performance machine design, and suggests that future high performance motion systems should be designed through "simplifying the mechanics through specialized direct-drive actuators and advanced control methodologies". For this purpose, this paper investigates a class of variable reluctance (VR) direct-drive motion actuators for high performance machines. The paper looks into several specialized motion actuator systems designed by the author, (including limited stroke actuator, gripper, artificial limb, linear motion device, and planar motion device), highlights their features and advantages, and describes the challenges of controlling these devices.
A Fully-Integrated Wireless Bondwire Accelerometer With Closed-loop Readout Architecture

This paper presents a fully-integrated wireless bondwire accelerometer using a closed-loop readout interface that effectively reduces the noise from electrical circuits and long-term frequency drifts. The proposed accelerometer was fabricated using 0.18- μm CMOS technology without micro electromechanical systems (MEMS) processing. To reduce manufacturing errors, the bondwire inertial sensors are wire-bonded on the chip pads, thereby enabling a precisely-defined length and space between sensing bondwires. The proposed wireless accelerometer using a pair of 15.2 μm and 25.4 μm bondwires achieves a linear transducer gain of 33 mV/g, bandwidth of 5 kHz, a noise floor of 700 μg/√Hz, and 4.5 μg bias stability. The acceleration data is digitalized by an energy-efficient 10-bit SAR ADC and then wirelessly transmitted in real time to the external reader by a low-power on-off shift keying (OOK) transmitter. The proposed architecture consumes 9 mW and the chip area is 2 mm × 2.4 mm.
Models and Creativity

In order to determine whether exposure to a symbolic model could affect creative behavior, 130 male and female college students were randomly exposed to a prolific divergent thinking model, a prolific convergent thinking model, an inadequate convergent thinking model or no model on an unusual uses task. On identical, similar, and generalization tasks, Ss exposed to either convergent model tended to show more convergent responses and fewer divergent responses than those exposed to a divergent thinking model. On 4 of the 9 measures females had significantly higher scores than males, but there were no significant sex by treatment interactions.
Rate Distortion Theory for Individual Data

We develop rate-distortion theory for individual data with respect to general distortion measures, that is, a theory of lossy compression of individual data. This is applied to Euclidean distortion, Hamming distortion, Kolmogorov distortion, and Shannon-Fano distortion. We show that in all these cases for every function satisfying the obvious constraints there are data that have this function as their individual rate-distortion function. Shannon’s distortion-rate function over a random source is shown to be the pointswise asymptotic expectation of the individual distortion-rate functions we have defined. The great differences in the distortion-rate functions for individual non-random (that is, the aspects important to lossy compression) data we established were previously invisible and obliterated in the Shannon theory. The techniques are based on Kolmogorov complexity.
Handbook of Graph Grammars and Computing by Graph Transformations, Volume 1: Foundations

A graph program consists of declarations of conditional graph transformation rules G. Rozenberg, editors: Handbook of Graph Grammars and Computing. We introduce s-graph grammars, a new grammar formalism for computing Handbook of Graph Grammars and Computing by Graph Transformation, pp. The double-pushout approach to graph transformation, which was invented in the early 1970's, is Handbook of Graph Grammars and Computing by Graph.
Optimal power allocation for a wireless multi-antenna energy harvesting node with arbitrary input distribution

The lifetime of autonomous wireless nodes can be extended by using energy harvesters in the node. This additional source of energy implies a loss of optimality of the traditional transmission strategies such as waterfilling. In this paper, the precoding strategy along N independent channel uses that maximizes the mutual information in linear vector Gaussian channels for arbitrarily distributed inputs is studied, under non-causal knowledge of the harvested energy over time. Precisely, the optimal right singular vectors and singular values of each precoder are derived. The derivation of the left singular vectors is a computationally hard problem, similarly as in the case of non-harvesting nodes, and is left as an open problem. At each channel use, the observed channel is diagonalized and power is allocated following the proposed MIMO Mercury Water-Flowing solution.
Sperm motility assessment using computer assisted semen analysis (CASA): a comparison of standard microscope slides and coverslips and the 20 µm MicroCell™

Computer assisted semen analysis (CASA) uses instrumentation that makes precise measurements of sperm motility, but the values obtained can be influenced by a number of technical aspects. Motility of human sperm was measured using a Sperm Class Analyzer (Microptic S.L., Barcelona, Spain), and the effect of using different counting chamber/slide configurations was investigated. Results for 20μm MicroCell slides (Vitrolife Sweden AB, Göteborg, Sweden) were compared with microscope slides and 22mmx22mm coverslips loaded with either 5μl (CV.5μl) or 10μl (CV.10μl) semen. Operator-correction of readings for all slide configurations resulted in a significantly lower number of sperm assessed due to the elimination of non-sperm bodies. Following operator-correction, the MicroCell chamber and CV. 10μl slide gave similar readings for both progressive motility and immotility for up to 5 minutes, whereas the CV. 5μl had a progressive increase in immotile sperm. The interval to analysis was therefore standardised at 2 minutes prior to the measurement of kinetic parameters, and the MicroCell values were significantly different to the CV. 10μl for curvilinear velocity (VCL), average path velocity (VAP) and straight line velocity (VSL), and the CV. 5μl for VAP. It is concluded that the same configuration be used within the same study, and that care should be taken when comparing different studies that have used different slide/chamber configurations. Disclaimer: The authors declare no conflicts of interest, whether of a financial or other nature J Reprod Stem Cell Biotechnol 7:1-8 Correspondence: Callum Robinson, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, 6027, Australia. E-mail: callum.robinson@fertilitynorth.com. au Funding: The authors received no financial support for the research, authorship, or publication of this article. Acknowledgements:The authors would like to thank the men who provided samples for this study, and the laboratory staff at Fertility North for their help and support.
Classification of Web Job Advertisements: A Case Study

This work is concerned with classifying Web job advertisements against a standard classification system of occupations, by applying and comparing different text classification techniques. As a first step, we evaluated the classification algorithms using a hit/not-hit approach, that is either the prediction is correct or not compared to a gold classification provided by domain experts. Then, we built a distance function on top of the affinity relationship between occupations provided by the classification system. Both the classification scores we computed and the affinity distance employed have allowed a more finely grained evaluation of the classified outcomes, providing to authors useful insights towards the improvement of the classification process.
MULTIVALENT ELECTROSTATIC INTERACTIONS AND AUTOINHIBITION UNDERLIE PHASE SEPARATION OF NPM 1 WITH R-RICH NUCLEOLAR PROTEIN SURF 6

The nucleolus, the largest membrane-less organelle, is critical to cellular functioning as the site of ribosome biogenesis and as a fundamental cell stress sensor. It has previously been shown that the nucleolus assembles via liquid-liquid phase separation of its components from the surrounding nucleoplasm. Here, we show that two abundant nucleolar proteins often upregulated in certain cancers, Nucleophosmin (NPM1) and Surfeit locus protein 6 (Surf6), interact via multivalent electrostatic interactions and form phase-separated droplets. Utilizing microscopic techniques, we propose a novel interaction of the C-terminal nucleic acid binding domain of NPM1 to modulate self valency through autoinhibition of its acidic residues.