Miracle-dz/UniFAR-FTUs huggingface dataset:
Abnormal Intrinsic Brain Activity Patterns in Patients with Subcortical Ischemic Vascular Dementia

Objectives To investigate the amplitude of low-frequency fluctuations (ALFF) alteration of whole brain in patients with subcortical ischemic vascular dementia (SIVD). Materials and Methods Thirty patients with SIVD and 35 control subjects were included in this study. All of them underwent structural MRI and rs-fMRI scan. The structural data were processed using the voxel-based morphometry 8 toolbox (VBM8). The rs-fMRI data were processed using Statistical Parametric Mapping (SPM8) and Data Processing Assistant for Resting-State fMRI (DPARSF) software. Within-group analysis was performed with a one-sample Student's t-test to identify brain regions with ALFF value larger than the mean. Intergroup analysis was performed with a two-sample Student's t-test to identify ALFF differences of whole brain between SIVD and control subjects. Partial correlations between ALFF values and Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores were analyzed in the SIVD group across the parameters of age, gender, years of education, and GM volume. Results Within-group analysis showed that the bilateral anterior cingulate cortex (ACC), posterior cingulate cortex, medial prefrontal cortex (MPFC), inferior parietal lobe (IPL), occipital lobe, and adjacent precuneus had significantly higher standardized ALFF values than the global mean ALFF value in both groups. Compared to the controls, patients with SIVD presented lower ALFF values in the bilateral precuneus and higher ALFF values in the bilateral ACC, left insula and hippocampus. Including GM volume as an extra covariate, the ALFF inter-group difference exhibited highly similar spatial patterns to those without GM volume correcting. Close negative correlations were found between the ALFF values of left insula and the MoCA and MMSE scores of SIVD patients. Conclusion SIVD is associated with a unique spontaneous aberrant activity of rs-fMRI signals, and measurement of ALFF in the precuneus, ACC, insula, and hippocampus may aid in the detection of SIVD.
Detecting Collusive Cliques in Futures Markets Based on Trading Behaviors from Real Data

In financial markets, abnormal trading behaviors pose a serious challenge to market surveillance and risk management. What is worse, there is an increasing emergence of abnormal trading events that some experienced traders constitute a collusive clique and collaborate to manipulate some instruments, thus mislead other investors by applying similar trading behaviors for maximizing their personal benefits. In this paper, a method is proposed to detect the hidden collusive cliques involved in an instrument of future markets by first calculating the correlation coefficient between any two eligible unified aggregated time series of signed order volume, and then combining the connected components from multiple sparsified weighted graphs constructed by using the correlation matrices where each correlation coefficient is over a user-specified threshold. Experiments conducted on real order data from the Shanghai Futures Exchange show that the proposed method can effectively detect suspect collusive cliques. A tool based on the proposed method has been deployed in the exchange as a pilot application for futures market surveillance and risk management.
Epstein-Barr Virus Stimulates Torque Teno Virus Replication: A Possible Relationship to Multiple Sclerosis

Viral infections have been implicated in the pathogenesis of multiple sclerosis. Epstein-Barr virus (EBV) has frequently been investigated as a possible candidate and torque teno virus (TTV) has also been discussed in this context. Nevertheless, mechanistic aspects remain unresolved. We report viral replication, as measured by genome amplification, as well as quantitative PCR of two TTV-HD14 isolates isolated from multiple sclerosis brain in a series of EBV-positive and -negative lymphoblastoid and Burkitt's lymphoma cell lines. Our results demonstrate the replication of both transfected TTV genomes up to day 21 post transfection in all the evaluated cell lines. Quantitative amplification indicates statistically significant enhanced TTV replication in the EBV-positive cell lines, including the EBV-converted BJAB line, in comparison to the EBV-negative Burkitt's lymphoma cell line BJAB. This suggests a helper effect of EBV infections in the replication of TTV. The present study provides information on a possible interaction of EBV and TTV in the etiology and progression of multiple sclerosis.
Role of Somatosensory Cortex in Visuospatial Attention

The human somatosensory cortex (S1) is not among the brain areas usually associated with visuospatial attention. However, such a function can be presumed, given the recently identified eye proprioceptive input to S1 and the established links between gaze and attention. Here we investigated a rare patient with a focal lesion of the right postcentral gyrus that interferes with the processing of eye proprioception without affecting the ability to locate visual objects relative to her body or to execute eye movements. As a behavioral measure of spatial attention, we recorded fixation time during visual search and reaction time for visual discrimination in lateral displays. In contrast to a group of age-matched controls, the patient showed a gradient in looking time and in visual sensitivity toward the midline. Because an attention bias in the opposite direction, toward the ipsilesional space, occurs in patients with spatial neglect, in a second study, we asked whether the incidental coinjury of S1 together with the neglect-typical perisylvian lesion leads to a milder neglect. A voxelwise lesion behavior mapping analysis of a group of right-hemisphere stroke patients supported this hypothesis. The effect of an isolated S1 lesion on visual exploration and visual sensitivity as well as the modulatory role of S1 in spatial neglect suggest a role of this area in visuospatial attention. We hypothesize that the proprioceptive gaze signal in S1, although playing only a minor role in locating visual objects relative to the body, affects the allocation of attention in the visual space.
The Political Economy of Risk and Ideology

This paper argues for the central role of risk aversion in shaping political ideology. We develop a political economy model, which makes explicit the link between risk aversion, the labor market, government policy, and ideology. Our model distinguishes the effects of risk aversion from unemployment risk and our evidence sheds light on debates over explanations for the welfare state. We test our model using a large-scale household panel with an experimentally validated measure of risk aversion. We find that risk aversion is a systematic and important determinant of political-economic attitudes and is at least as important as, if not more so, an individual’s position in the income distribution.
Conditional loss of PTEN leads to testicular teratoma and enhances embryonic germ cell production

The tumor suppressor gene PTEN, which is frequently mutated in human cancers, encodes a lipid phosphatase for phosphatidylinositol 3,4,5-triphosphate [PtdIns(3,4,5)P3] and antagonizes phosphatidylinositol 3 kinase. Primordial germ cells (PGCs), which are the embryonic precursors of gametes, are the source of testicular teratoma. To elucidate the intracellular signaling mechanisms that underlie germ cell differentiation and proliferation, we have generated mice with a PGC-specific deletion of the Pten gene. Male mice that lacked PTEN exhibited bilateral testicular teratoma, which resulted from impaired mitotic arrest and outgrowth of cells with immature characters. Experiments with PTEN-null PGCs in culture revealed that these cells had greater proliferative capacity and enhanced pluripotent embryonic germ (EG) cell colony formation. PTEN appears to be essential for germ cell differentiation and an important factor in testicular germ cell tumor formation.
If Learning Maths Requires a Teacher, Where did the First Teachers Come From?

This is the latest progress report on a long term quest to defend Kant’s philosophy of mathematics. In humans, and other species with competences that evolved to support interactions with a complex, varied and changing 3-D world, some competences go beyond discovered correlations linking sensory and motor signals. Dealing with novel situations or problems requires abilities to work out what can, cannot, or must happen in the environment, under certain conditions. I conjecture that in humans these products of evolution form the basis of mathematical competences. Mathematics grows out of the ability to use, reflect on, characterise, and systematise both the discoveries that arise from such competences and the competences themselves. So a “baby” human-like robot, with similar initial competences and meta-competences, could also develop mathematical knowledge and understanding, acquiring what Kant called synthetic, nonempirical knowledge. I attempt to characterise the design task and some ways of making progress, in part by analysing transitions in child or animal intelligence from empirical learning to being able to “work things out”. This may turn out to include a very general phenomenon involved in so-called “U-shaped” learning, including the language learning that evolved later. Current techniques in AI/Robotics are nowhere near this. A long term collaborative project investigating the evolution and development of such competences may contribute to robot design, to developmental psychology, to mathematics education and to philosophy of mathematics. There is still much to do.
Directional Discretized Occluders for Accelerated Occlusion Culling

We present a technique for accelerating the rendering of high depth‐complexity scenes. In a preprocessing stage, we approximate the input model with a hierarchical data structure and compute simple view‐dependent polygonal occluders to replace the complex input geometry in subsequent visibility queries. When the user is inspecting and visualizing the input model, the computed occluders are used to avoid rendering geometry which cannot be seen. Our method has several advantages which allow it to perform conservative visibility queries efficiently and it does not require any special graphics hardware. The preprocessing step of our approach can also be used within the framework of other visibility culling methods which need to pre‐select or pre‐render occluders. In this paper, we describe our technique and its implementation in detail, and provide experimental evidence of its performance. In addition, we briefly discuss possible extensions of our algorithm.
The ART of performance: engaging young people with assisted reproductive technologies*

ABSTRACT More children than ever before are conceived with the use of assisted reproductive technologies and many are raised in families that are structurally different from most. Research on the experiences of children growing up in diverse families has shown that children may face disapproval, a lack of understanding, and in some cases, bullying by those outside of their home environment, including from their peers at school This study evaluated the use of theatrical performance and post-performance discussions as a method of informing young people about different families. Findings indicated that performance was an effective and engaging learning tool, as it presented first-hand experiences of family diversity. Post-performance discussions were important in enabling young people to improve their understanding of different methods of Assisted Reproductive Technologies and diverse family forms. Young people were found to value engagement activities that are unbiased, interactive, and do not make them feel awkward or uncomfortable.
Differential mechanisms mediating descending pain controls for antinociception induced by supraspinally administered endomorphin-1 and endomorphin-2 in the mouse.

We have previously demonstrated that both endomorphin-1 and endomorphin-2 produce their antinociception by the stimulation of mu-opioid receptors. However, the antinociception induced by endomorphin-2 contains an additional component, which is mediated by the release of dynorphin A (1-17) acting on kappa-opioid receptors. These studies were done to determine whether the antinociception induced by endomorphin-1 and endomorphin-2 given supraspinally was mediated by the activation of different descending pain control pathways in the mouse. Specific receptor antagonists or antisera against endogenous opioid peptides were injected intrathecally to block the receptors or bind the released endogenous opioid peptides, and endomorphin-1 or endomorphin-2 was then administered i.c. v. to activate the descending pain control systems to produce antinociception. The tail-flick response was used as antinociceptive test. The blockade of the alpha(2)-adrenoceptors and 5-hydroxytryptamine receptors in the spinal cord by i.t. injection of yohimbine and methysergide, respectively, inhibited the antinociception induced by i.c. v. -administered endomorphin-1 and endomorphin-2. However, the antinociception induced by endomorphin-2 was inhibited by i.t. pretreatment with delta(2)-opioid receptor antagonist naltriben or kappa-opioid receptor antagonist nor-binaltorphimine, but not by the mu-opioid receptor antagonist D-Phe-Cys-Tyr-D-Try-Orn-Thr-Pen-Thr-NH(2) or the delta(1)-opioid receptor antagonist 7-benzylidene naltrexamine. Intrathecal pretreatment with antiserum against Met-enkephalin attenuated the antinociception induced by i.c. v. -administered endomorphin-2, but not endomorphin-1. Furthermore, i.t. pretreatment with antiserum against dynorphin A (1-17) also inhibited the antinociception induced by i.c. v. -administered endomorphin-2, but not endomorphin-1. Intrathecal pretreatment with antiserum against Leu-enkephalin or beta-endorphin did not inhibit i.c. v. -administered endomorphin-1- or endomorphin-2-induced antinociception. The results indicate that, like other opioid micro-receptor agonists, morphine, and [D-Ala(2), N-Me-Phe(4), Gly(5)-ol]-enkephalin, endomorphin-1 and endomorphin-2 given i.c. v. produce antinociception by activating spinipetal noradrenergic and serotonergic pathways for producing antinociception. However, the antinociception induced by endomorphin-2 given i.c. v. also contains other components, which are mediated by the release of Met-enkephalin and dynorphin A (1-17) acting on opioid delta(2)- and kappa-receptors, respectively, in the spinal cord.
An Optimized Model for Blasting Parameters in Underground Mines' Deep-Hole Caving Based on Rough Set and Artificial Neural Network

For better predicting and optimizing the blasting parameters in underground deep-hole mining, 16 groups of deep-hole blasting parameters are collected and collated, combining rough set and artificial neuron network theory, an optimized model for basting parameters in underground mines’ long-hole caving based on rough set and artificial neural network is set up. Adopting the rough set software for data reduction, then using the reduced data and raw data as the inputs of the ANN software, the predictions have completed. The input attributes of the ANN model are 6, the RS—ANN model input attributes are 5, both training samples are 12, both forecast samples are 3, the former average prediction accuracy is 0.91 ~ 13.7%, the latter is 0.12 ~ 7.97%. This study shows that rough set is effective in data reduction while retaining key information; the predicted results of RS—ANN model coincide with the actual situation, and the overall accuracy increased by more.
Non-stationary discharge patterns in motor cortex under subthalamic nucleus deep brain stimulation

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) directly modulates the basal ganglia (BG), but how such stimulation impacts the cortex upstream is largely unknown. There is evidence of cortical activation in 6-hydroxydopamine (OHDA)-lesioned rodents and facilitation of motor evoked potentials in Parkinson's disease (PD) patients, but the impact of the DBS settings on the cortical activity in normal vs. Parkinsonian conditions is still debated. We use point process models to analyze non-stationary activation patterns and inter-neuronal dependencies in the motor and sensory cortices of two non-human primates during STN DBS. These features are enhanced after treatment with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), which causes a consistent PD-like motor impairment, while high-frequency (HF) DBS (i.e., ≥100 Hz) strongly reduces the short-term patterns (period: 3–7 ms) both before and after MPTP treatment, and elicits a short-latency post-stimulus activation. Low-frequency DBS (i.e., ≤50 Hz), instead, has negligible effects on the non-stationary features. Finally, by using tools from the information theory [i.e., receiver operating characteristic (ROC) curve and information rate (IR)], we show that the predictive power of these models is dependent on the DBS settings, i.e., the probability of spiking of the cortical neurons (which is captured by the point process models) is significantly conditioned on the timely delivery of the DBS input. This dependency increases with the DBS frequency and is significantly larger for high- vs. low-frequency DBS. Overall, the selective suppression of non-stationary features and the increased modulation of the spike probability suggest that HF STN DBS enhances the neuronal activation in motor and sensory cortices, presumably because of reinforcement mechanisms, which perhaps involve the overlap between feedback antidromic and feed-forward orthodromic responses along the BG-thalamo-cortical loop.
iStuff: a physical user interface toolkit for ubiquitous computing environments

The iStuff toolkit of physical devices, and the flexible software infrastructure to support it, were designed to simplify the exploration of novel interaction techniques in the post-desktop era of multiple users, devices, systems and applications collaborating in an interactive environment. The toolkit leverages an existing interactive workspace in-frastructure, making it lightweight and platform independent. The supporting software framework includes a dynamically configurable intermediary to simplify the mapping of devices to applications. We describe the iStuff architecture and provide several examples of iStuff, organized into a design space of ubiquitous computing interaction components. The main contribution is a physical toolkit for distributed, heterogeneous environments with run-time retargetable device data flow. We conclude with some insights and experiences derived from using this toolkit and framework to prototype experimental interaction techniques for ubiquitous computing environments.
Controller design and real-time fault diagnosis for a humanoid robot

An effective controller is crucial for a humanoid robot since a humanoid robot generally has more than thirty DOFs to be controlled in real-time and needs to deal with information of multiple sensors. On the other hand, real-time fault diagnosis is increasingly important for the humanoid robot due to its mechanism and control complexity and inherent instability of risking tipping itself over. In this paper, we propose a distributed controller consisting of the online planning sub-system and the motion control sub-system based on CAN bus and Ethernet for humanoid robots. Moreover, a real-time fault diagnosis method is proposed to observe the most probable faults, such as joint over-limit, force/torque sensor failure, encoder failure, and inertial sensor failure. The effectiveness of our designed controller and fault diagnosis was confirmed by experiments on our newly-built humanoid robot.
Seipin is required for converting nascent to mature lipid droplets

How proteins control the biogenesis of cellular lipid droplets (LDs) is poorly understood. Using Drosophila and human cells, we show here that seipin, an ER protein implicated in LD biology, mediates a discrete step in LD formation—the conversion of small, nascent LDs to larger, mature LDs. Seipin forms discrete and dynamic foci in the ER that interact with nascent LDs to enable their growth. In the absence of seipin, numerous small, nascent LDs accumulate near the ER and most often fail to grow. Those that do grow prematurely acquire lipid synthesis enzymes and undergo expansion, eventually leading to the giant LDs characteristic of seipin deficiency. Our studies identify a discrete step of LD formation, namely the conversion of nascent LDs to mature LDs, and define a molecular role for seipin in this process, most likely by acting at ER-LD contact sites to enable lipid transfer to nascent LDs. DOI: http://dx.doi. org/10.7554/eLife.16582. 001
Bit mapping for balanced PCM cell programming

Write bandwidth is an inherent performance bottleneck for Phase Change Memory (PCM) for two reasons. First, PCM cells have long programming time, and second, only a limited number of PCM cells can be programmed concurrently due to programming current and write circuit constraints, For each PCM write, the data bits of the write request are typically mapped to multiple cell groups and processed in parallel. We observed that an unbalanced distribution of modified data bits among cell groups significantly increases PCM write time and hurts effective write bandwidth. To address this issue, we first uncover the cyclical and cluster patterns for modified data bits. Next, we propose double XOR mapping (D-XOR) to distribute modified data bits among cell groups in a balanced way. D-XOR can reduce PCM write service time by 45% on average, which increases PCM write throughput by 1.8x. As error correction (redundant bits) is critical for PCM, we also consider the impact of redundancy information in mapping data and error correction bits to cell groups. Our techniques lead to a 51% average reduction in write service time for a PCM main memory with ECC, which increases IPC by 12%.
On properties of the special coordinate basis of linear systems

In this paper, we provide, for the first time in the literature, rigorous and complete proofs to all the key properties of the special coordinate basis of linear timeinvariant systems. The special coordinate basis decomposition or technique developed by Sannuti and Saberi in 1987 has a distinct feature of explicitly displaying the finite and infinite zero structures, the invertibility structures, as well as the invariant and almost invariant geometric subspaces of a given system. The technique has been extensively used in the literature to solve many system and control problems. We believe that the result of this paper is a complement of the seminal work of Sannuti and Saberi. It makes the theory of the special coordinate basis more complete.