Miracle-dz/UniFAR-FTUs huggingface dataset:
Preoperative prediction of Ki-67 and p53 status in meningioma using a multiparametric MRI-based clinical-radiomic model

Purpose To investigate the utility of preoperative multiparametric magnetic resonance imaging (mpMRI)-based clinical-radiomic analysis combined with machine learning (ML) algorithms in predicting the expression of the Ki-67 proliferative index and p53 tumor suppressor protein in patients with meningioma. Methods This multicenter retrospective study included 483 and 93 patients from two centers. The Ki-67 index was classified into high (Ki-67≥5%) and low (Ki-67<5%)-expressed groups, and the p53 index was classified into positive (p53≥5%) and negative (p53<5%)-expressed groups. Clinical and radiological features were analyzed using univariate and multivariate statistical analyses. Six ML models were performed with different types of classifiers to predict Ki-67 and p53 status. Results In the multivariate analysis, larger tumor volumes (p<0.001), irregular tumor margin (p<0.001), and unclear tumor-brain interface (p<0.001) were independently associated with a high Ki-67 status, whereas the presence of both necrosis (p=0.003) and the dural tail sign (p=0.026) were independently associated with a positive p53 status. A relatively better performance was yielded from the model constructed by combined clinical and radiological features. The area under the curve (AUC) and accuracy of high Ki-67 were 0.820 and 0.867 in the internal test, and 0.666 and 0.773 in the external test, respectively. Regarding p53 positivity, the AUC and accuracy were 0.858 and 0.857 in the internal test, and 0.684 and 0.718 in the external test. Conclusion The present study developed clinical-radiomic ML models to non-invasively predict Ki-67 and p53 expression in meningioma using mpMRI features, and provides a novel non-invasive strategy for assessing cell proliferation.
Systems-level analysis of local field potentials reveals differential effects of lysergic acid diethylamide and ketamine on neuronal activity and functional connectivity

Psychedelic substances have in recent years attracted considerable interest as potential treatments for several psychiatric conditions, including depression, anxiety, and addiction. Imaging studies in humans point to a number of possible mechanisms underlying the acute effects of psychedelics, including changes in neuronal firing rates and excitability as well as alterations in functional connectivity between various brain nodes. In addition, animal studies using invasive recordings, have suggested synchronous high-frequency oscillations involving several brain regions as another key feature of the psychedelic brain state. To better understand how the imaging data might be related to high-resolution electrophysiological measurements, we have here analyzed the aperiodic part of the local field potential (LFP) in rodents treated with a classic psychedelic (LSD) or a dissociative anesthetic (ketamine). In addition, functional connectivity, as quantified by mutual information measures in the LFP time series, has been assessed with in and between different structures. Our data suggest that the altered brain states of LSD and ketamine are caused by different underlying mechanisms, where LFP power shifts indicate increased neuronal activity but reduced connectivity following ketamine, while LSD also leads to reduced connectivity but without an accompanying change in LFP broadband power.
Stimulation enhancement effect of the combination of exoskeleton-assisted hand rehabilitation and fingertip haptic stimulation

Introduction Providing stimulation enhancements to existing hand rehabilitation training methods may help stroke survivors achieve better treatment outcomes. This paper presents a comparison study to explore the stimulation enhancement effects of the combination of exoskeleton-assisted hand rehabilitation and fingertip haptic stimulation by analyzing behavioral data and event-related potentials. Methods The stimulation effects of the touch sensations created by a water bottle and that created by cutaneous fingertip stimulation with pneumatic actuators are also investigated. Fingertip haptic stimulation was combined with exoskeleton-assisted hand rehabilitation while the haptic stimulation was synchronized with the motion of our hand exoskeleton. In the experiments, three experimental modes, including exoskeleton-assisted grasping motion without haptic stimulation (Mode 1), exoskeleton-assisted grasping motion with haptic stimulation (Mode 2), and exoskeleton-assisted grasping motion with a water bottle (Mode 3), were compared. Results The behavioral analysis results showed that the change of experimental modes had no significant effect on the recognition accuracy of stimulation levels (p = 0.658), while regarding the response time, exoskeleton-assisted grasping motion with haptic stimulation was the same as grasping a water bottle (p = 0.441) but significantly different from that without haptic stimulation (p = 0.006). The analysis of event-related potentials showed that the primary motor cortex, premotor cortex, and primary somatosensory areas of the brain were more activated when both the hand motion assistance and fingertip haptic feedback were provided using our proposed method (P300 amplitude 9.46 μV). Compared to only applying exoskeleton-assisted hand motion, the P300 amplitude was significantly improved by providing both exoskeleton-assisted hand motion and fingertip haptic stimulation (p = 0.006), but no significant differences were found between any other two modes (Mode 2 vs. Mode 3: p = 0.227, Mode 1 vs. Mode 3: p = 0.918). Different modes did not significantly affect the P300 latency (p = 0.102). Stimulation intensity had no effect on the P300 amplitude (p = 0.295, 0.414, 0.867) and latency (p = 0.417, 0.197, 0.607). Discussion Thus, we conclude that combining exoskeleton-assisted hand motion and fingertip haptic stimulation provided stronger stimulation on the motor cortex and somatosensory cortex of the brain simultaneously; the stimulation effects of the touch sensations created by a water bottle and that created by cutaneous fingertip stimulation with pneumatic actuators are similar.
Sensitivity and specificity of measuring children's free-living cycling with a thigh-worn Fibion® accelerometer

Objective Cycling is an important part of children's active travel, but its measurement using accelerometry is a challenge. The aim of the present study was to evaluate physical activity duration and intensity, and sensitivity and specificity of free-living cycling measured with a thigh-worn accelerometer. Methods Participants were 160 children (44 boys) aged 11.5 ± 0.9 years who wore a triaxial Fibion® accelerometer on right thigh for 8 days, 24 h per day, and reported start time and duration of all cycling, walking and car trips to a travel log. Linear mixed effects models were used to predict and compare Fibion-measured activity and moderate-to-vigorous activity duration, cycling duration and metabolic equivalents (METs) between the travel types. Sensitivity and specificity of cycling bouts during cycling trips as compared to walking and car trips was also evaluated. Results Children reported a total of 1,049 cycling trips (mean 7.08 ± 4.58 trips per child), 379 walking trips (3.08 ± 2.81) and 716 car trips (4.79 ± 3.96). There was no difference in activity and moderate-to-vigorous activity duration (p > .105), a lower cycling duration (−1.83 min, p < .001), and a higher MET-level (0.95, p < .001) during walking trips as compared to cycling trips. Both activity (−4.54 min, p < .001), moderate-to-vigorous activity (−3.60 min, p < .001), cycling duration (−1.74 min, p < .001) and MET-level (−0.99, p < .001) were lower during car trips as compared to cycling trips. Fibion showed the sensitivity of 72.2% and specificity of 81.9% for measuring cycling activity type during the reported cycling trips as compared to walking and car trips when the minimum required duration for cycling was less than 29 s. Conclusions The thigh-worn Fibion® accelerometer measured a greater duration of cycling, a lower MET-level, and a similar duration of total activity and moderate-to-vigorous activity during free-living cycling trips as compared to walking trips, suggesting it can be used to measure free-living cycling activity and moderate-to-vigorous activity duration in 10–12-year-old children.
WAGNER DOS SANTOS VIEIRA A SEMI-AUTOMATIC FRAMEWORK TO IDENTIFY BRIGHT SPOTS AS POTENTIAL HYDROCARBON INDICATORS IN SEISMIC DATA, USING AN MPPDB INFRASTRUCTURE AND ROUGH SET THEORY

This work describes a framework with a computational process to assist interpreters during the seismic interpretation activity, detecting bright spots as potential hydrocarbon indicators within a seismic dataset. Such dataset comprises a set of seismic attributes, and since the dataset can be vast the manual seismic interpretation can be hard or even unviable, thus our framework emerges to tackle this problem. Our proposal uses Rough Set theory and a massively parallel processing infrastructure. Through Rough Set, we can attempt to reduce the set of seismic attributes and, we create a set of classification rules to detect bright spots. To achieve the classification rules, we run a Rough Set's supervised training process in the framework implementation, incorporating specialist’s knowledge, which increases the accuracy of our results. Regarding performance, our framework further may be faster than another proposal since we properly distributed the seismic data in a massively parallel processing database. Another advantage that our framework has over another approach is: our classification rules may be generic for any seismic dataset. Thus, the rules generation occurs just once at our framework implementation. Since we always keep the same set of rules, to guarantee flexibility to our seismic interpretation support framework, we provide to the interpreter user a set of input parameters, which allows tuning the pattern query for detect bright spots. Finally, preliminary experiments running on real seismic data of Dutch coast show that our framework can identify bright spots related to hydrocarbon accumulation.
Development of bifurcated current sheets in solar wind reconnection exhausts

Petschek‐type reconnection is expected to result in bifurcations of reconnection current sheets. In contrast, Hall reconnection simulations show smooth changes in the reconnecting magnetic field. Here we study three solar wind reconnection events where different spacecraft sample oppositely directed reconnection exhausts from a common reconnection site. The spacecraft's relative separations and measurements of the exhaust width are used to geometrically calculate each spacecraft's distance from the X line. We find that in all cases spacecraft farthest from the X line observe clearly bifurcated reconnection current sheets, while spacecraft nearer to the X line do not. These observations suggest that clear bifurcations of reconnection current sheets occur at large distances from the X line (~1000 ion skin depths) and that Petschek‐type signatures are less developed close to the reconnection site. This may imply that fully developed bifurcations of reconnection current sheets are unlikely to be observed in the near‐Earth magnetotail.
The relation between human papilloma virus serotype infection and colposcopic, cytological and histopathological abnormalities among the Egyptian women: retrospective study

Objective. Correlating Human Papillomavirus (HPV) serotyping, the findings of PAP-smear, colposcopy with colposcopic directed biopsy. Sharing our epidemiological data guides the local health authorities to formalize national screening protocols. Patient and Methods . A retrospective study was conducted at the Gynecological clinic of a tertiary University Hospital during the period between 2015 to 2020. A total of 285 women's medical records were reviewed for epidemiological, clinical presentation and Pap smear, HPV serotypes, colposcopy findings, and colposcopic guided biopsy. The results were plotted and correlated based on histopathological results. Results. HPV substantial risk types were detected in 74 (25.8%), and minimal risk serotypes were detected in 28(9.7%). 16 positivity was evident in 13 (12.03%) patients, followed by HPV 31 serotype in 12(11.1%), HPV-51 detected in 11 (10.8%), HPV 18 positivity in 10 (10.02%), while HPV negative in 128 (44.7%). The sensitivity of colposcopy was higher than Pap smear (93.2% Vs 68.52%); however, its specificity was only 69.1% compared to 96.7% of the Pap smear. Our results demonstrated a high agreement between colposcopy and histology 95.36%. similarly, Pap smear and colposcopy agreement was high up to 98 %, but between Pap smear and histology was 84%. Conclusions. Pairing the result of HPV serotypes with the grade of abnormal cytology, colposcopic appearance, and histopathological findings could improve the early detection of preinvasive lesions.
Learning-Based MIMO Detection With Dynamic Spatial Modulation

In this paper, we investigate signal detection in emerging dynamic spatial modulation (DSM) based MIMO systems, where the existing mapping and detection methods do not work efficiently. In order to address this issue, we begin by proposing a combinatorial mapping-based DSM (CM-DSM) scheme in this paper. The proposed CM-DSM scheme employs a combinatorial 3D mapping to address the detection ambiguity by leveraging the combinatorial nature of DSM. Additionally, this mapping helps construct an appropriate decision tree for the optimal signal detection. By leveraging the resulting tree, we further propose a memory-bounded tree search (METS) algorithm, which efficiently finds the maximum likelihood (ML) estimate. To further enhance detection efficiency, we propose a deep learning boosted version of METS (DL-METS), which efficiently reduces the computational complexity via estimating the optimal heuristic function. Simulation results show that both the proposed METS and DL-METS work well in the considered system. In particular, the proposed DL-METS achieves nearly optimal detection performance while maintaining almost the lowest expected computational complexity, which strongly validates the effectiveness of the proposed algorithm.
Serial bias in the perception of biological motion emotional states

People can judge the emotions of other individuals by their movements, which are influenced by previously occurring movements, possibly because previously occurring movements provide a priori information about the current. In the current study, we presented sequences of biological motion of different emotional states and examined the influence of previously occurring actions on the evaluation of emotion for the current action in the biological motion sequence. We found that: first, emotion evaluation for the current biological motion systematically deviated from, rather than bias toward, past evaluation, showing a repulsive bias, with the amplitude of the bias negatively correlated with overall emotion recognition error. Second, the amplitude of the bias was not found to correlate with autistic traits or empathy, but with third-person movement imagery. Results tentatively suggest that there is no attractive bias in biological motion emotion perception, and the repulsive bias produced by previously observed biological motion states on current evaluation is an adaptation-like aftereffect, which en-hances the accuracy of emotion recognition, but it is part of general visual cognitive rather than social cognitive functioning.
The role of aircraft noise annoyance and noise sensitivity in the association between aircraft noise exposure and saliva cortisol levels

The HYDE study combined HYENA (HYpertension and Exposure to Noise near Airports) and DEBATS (Discussion on the health effects of aircraft noise) datasets. It previously showed significant associations between aircraft noise levels and cortisol outcomes in women, but not in men. The present study aims to assess the role of aircraft noise annoyance and noise sensitivity in these latter associations. Cortisol levels were determined in saliva samples, provided for 439 and 954 participants in HYENA and DEBATS respectively. Information on demographic and lifestyle factors, aircraft noise annoyance, and noise sensitivity was collected during a face-to-face interview. After adjustment for aircraft noise annoyance or noise sensitivity, previous results were unchanged. However, associations between aircraft noise levels and cortisol outcomes tended to be stronger in participants highly annoyed or highly sensitive to noise, showing a flattening in the (absolute and relative) variations per hour in cortisol levels with higher noise levels. These results suggest a modifying effect of annoyance and of noise sensitivity in the association between aircraft noise levels and cortisol outcomes. Nevertheless, they need to be confirmed.
Mechanical behavior analysis of LEM-infilled cold-formed steel walls

: The sustainable development of the engineering structures mainly depends on the environmental- friendly to structural components. This requires the development of sustainable and new materials and structures that would be a worthy alternative for the available. This paper proposed a novel type of cold-formed steel (CFS) shear wall which filling light EPS mortars (LEM) into the space of CFS framing. LEM-infilled CFS walls carry forward the merits of traditional CFS wall, for example lightweight, easy installation, superior earthquake resistance and efficient energy saving. Moreover, employing recycled desulfurization gypsum and EPS in the structural materials reduce environmental pollution. However, the behavior of LEM-infilled CFS wall is not fully explored yet, which results in the low understanding and application of the material around the world. Based on this background, a review of mechanical response tests will contribute to a better awareness. In this paper, three types of mechanical behaviours are discussed including axial compressive behaviour, out-of-plane flexural behaviour, and cyclic behaviour. The previous researches on the mechanical performance of LEM-infilled CFS walls were reviewed. And the typical failure patterns and general results were described and discussed. This work will provide an excellent reference to current practice and future exploration.
Business Strategy and Firm Performance: The Mediating Role of Accounting Information Systems

This study aims to examine the relationships between business strategy (cost leadership and innovative differentiation) and firm performance, the mediating role of the accounting information systems among Jordanian public listed companies. Previous studies had investigated the direct relationship of Business strategy and AIS to enhance the firm performance. Therefore, This study introduced an integrated model for service firms to achieve better performance through appropriate competitive business strategy and mediating variables such as AIS. To achieve the objectives of this study, data were collected from 192 service firms listed in Jordanian Stock Exchange. The partial least squares (PLS) statistical analysis tool had been used to analyze the constructs of this study. Result had revealed that businesses strategy significantly affect AIS. Whereas, AIS has a significant effect on financial performance. as well as, the result showed that AIS mediate the relationship between business strategy and financial performance.
Infant and Adult Human Intestinal Enteroids are Morphologically and Functionally Distinct

Background & Aims Human intestinal enteroids (HIEs) are gaining recognition as physiologically relevant models of the intestinal epithelium. While HIEs from adults are used extensively in biomedical research, few studies have used HIEs from infants. Considering the dramatic developmental changes that occur during infancy, it is important to establish models that represent infant intestinal characteristics and physiological responses. Methods We established jejunal HIEs from infant surgical samples and performed comparisons to jejunal HIEs from adults using RNA sequencing (RNA-Seq) and morphologic analyses. We validated differences in key pathways through functional studies and determined if these cultures recapitulate known features of the infant intestinal epithelium. Results RNA-Seq analysis showed significant differences in the transcriptome of infant and adult HIEs, including differences in genes and pathways associated with cell differentiation and proliferation, tissue development, lipid metabolism, innate immunity, and biological adhesion. Validating these results, we observed a higher abundance of cells expressing specific enterocyte, goblet cell and enteroendocrine cell markers in differentiated infant HIE monolayers, and greater numbers of proliferative cells in undifferentiated 3D cultures. Compared to adult HIEs, infant HIEs portray characteristics of an immature gastrointestinal epithelium including significantly shorter cell height, lower epithelial barrier integrity, and lower innate immune responses to infection with an oral poliovirus vaccine. Conclusions HIEs established from infant intestinal tissues reflect characteristics of the infant gut and are distinct from adult cultures. Our data support the use of infant HIEs as an ex-vivo model to advance studies of infant-specific diseases and drug discovery for this population. Importance Tissue or biopsy stem cell-derived human intestinal enteroids are increasingly recognized as physiologically relevant models of the human gastrointestinal epithelium. While enteroids from adults and fetal tissues have been extensively used for studying many infectious and non-infectious diseases, there are few reports on enteroids from infants. We show that infant enteroids exhibit both transcriptomic and morphological differences compared to adult cultures. They also differ in functional responses to barrier disruption and innate immune responses to infection, suggesting that infant and adult enteroids are distinct model systems. Considering the dramatic changes in body composition and physiology that begins during infancy, tools that appropriately model intestinal development and diseases are critical. Infant enteroids model key features of the infant gastrointestinal epithelium. This study is significant in establishing infant enteroids as age-appropriate models for infant intestinal physiology, infant-specific diseases and responses to pathogens.