Miracle-dz/UniFAR-FTUs huggingface dataset:
T-matrix and Hapke Modeling of the Thermal Infrared Spectra of Trojan Asteroids and (944) Hidalgo: Implications for Their Regolith Particle Size and Porosity

Trojan asteroids (911) Agamemnon, (1172) Aneas, and (624) Hektor and primitive asteroid (944) Hidalgo share a common thermal infrared spectral feature: a prominent 10 μm plateau that is also present in cometary comae spectra. To fit these asteroid spectra, we modeled individual minerals using the light-scattering multiple sphere T-matrix (MSTM) and Hapke reflectance models. Modeled mineral spectra were then combined using a weighted least-squares (WLS) model that included a spectral library of varied particle sizes and porosities. We later refined our method by using the mineral abundances, particle sizes, and porosities computed by WLS as an input to rerun the MSTM and Hapke models. We were able to model the asteroid spectral features using a mixture of olivine components, fine particles, and lunar-like porosities. The Trojan asteroids and (944) Hidalgo are comparable in mineral composition and particle size to spectrally similar bodies such as comet Hale-Bopp and CO3 and CY chondrite meteorites. While the required porosities for modeling are like those present on the lunar surface, they are lower than those in the meteorites and higher than those in comets.
KAP1 is a new non-genetic vulnerability of malignant pleural mesothelioma (MPM)

Abstract Malignant pleural mesothelioma (MPM) is a rare and incurable cancer, which incidence is increasing in many countries. MPM escapes the classical genetic model of cancer evolution, lacking a distinctive genetic fingerprint. Omics profiling revealed extensive heterogeneity failing to identify major vulnerabilities and restraining development of MPM-oriented therapies. Here, we performed a multilayered analysis based on a functional genome-wide CRISPR/Cas9 screening integrated with patients molecular and clinical data, to identify new non-genetic vulnerabilities of MPM. We identified a core of 18 functionally-related genes as essential for MPM cells. The chromatin reader KAP1 emerged as a dependency of MPM. We showed that KAP1 supports cell growth by orchestrating the expression of a G2/M-specific program, ensuring mitosis correct execution. Targeting KAP1 transcriptional function, by using CDK9 inhibitors resulted in a dramatic loss of MPM cells viability and shutdown of the KAP1-mediated program. Validation analysis on two independent MPM-patients sets, including a consecutive, retrospective cohort of 97 MPM, confirmed KAP1 as new non-genetic dependency of MPM and proved the association of its dependent gene program with reduced patients’ survival probability. Overall these data: provided new insights into the biology of MPM delineating KAP1 and its target genes as building blocks of its clinical aggressiveness.
Use of Machine Learning Techniques for Predicting Heart Disease Risk from Phone Enquiries Data

This paper is about the application of known machine learning (ML) techniques for the prediction of heart disease risk. A public database is used to train and test the ML models. Results are evaluated using standard measures like precision, recall and F-score. ML models selected are well known techniques and they are based on different approaches. Chosen methods are: MLP (Multi-Layer Perceptron), SVM (Support Vector Machine) and Bagged Tree (Bootstrap Aggregated Trees). After evaluating techniques alone on their own, a new 'triple voting method' (TVM) is tested applying the three individual methods and adding their results to improve accuracy.
Stability of the Couette-Poiseuille flow by the Reynolds-Orr energy equation

The normal-mode analysis of the Reynolds-Orr energy equation governing the stability of viscous motion for general three-dimensional disturbances has been revisited. The energy equation has been solved as an unconstrained minimization problem for the Couette-Poiseuille flow. The minimum Reynolds number for every Couette-Poiseuille velocity profile has been computed and compared with those available in the literature. For fully three-dimensional disturbances, it is shown that the minimum Reynolds number is in general smaller than the corresponding two-dimensional counterpart for all the Couette-Poiseuille profiles except plane Couette flow.
ATP-competitive inhibitors modulate the substrate binding cooperativity of a kinase by altering its conformational entropy

ATP-competitive inhibitors are currently the largest class of clinically approved drugs for protein kinases. By targeting the ATP-binding pocket, these compounds block the catalytic activity, preventing substrate phosphorylation. A problem with these drugs, however, is that inhibited kinases may still recognize and bind downstream substrates, acting as scaffolds or binding hubs for signaling partners. Here, using protein kinase A as a model system, we show that chemically different ATP-competitive inhibitors modulate the substrate binding cooperativity by tuning the conformational entropy of the kinase and shifting the populations of its conformationally excited states. Since we found that binding cooperativity and conformational entropy of the enzyme are correlated, we propose a new paradigm for the discovery of ATP-competitive inhibitors, which is based on their ability to modulate the allosteric coupling between nucleotide and substrate-binding sites.
Non-invasive transcranial electrical brain stimulation guided by functional near-infrared spectroscopy for targeted neuromodulation: a review

One of the primary goals in cognitive neuroscience is to understand the neural mechanisms on which cognition is based. Researchers are trying to find how cognitive mechanisms are related to oscillations generated due to brain activity. The research focused on this topic has been considerably aided by developing non-invasive brain stimulation techniques. The dynamics of brain networks and the resultant behavior can be affected by non-invasive brain stimulation techniques, which make their use a focus of interest in many experiments and clinical fields. One essential non-invasive brain stimulation technique is transcranial electrical stimulation (tES), subdivided into transcranial direct and alternating current stimulation. tES has recently become more well-known because of the effective results achieved in treating chronic conditions. In addition, there has been exceptional progress in the interpretation and feasibility of tES techniques. Summarizing the beneficial effects of tES, this article provides an updated depiction of what has been accomplished to date, brief history, and the open questions that need to be addressed in the future. An essential issue in the field of tES is stimulation duration. This review briefly covers the stimulation durations that have been utilized in the field while monitoring the brain using functional-near infrared spectroscopy-based brain imaging.
Religious leaders can motivate men to cede power and reduce intimate partner violence: Experimental evidence from Uganda

Significance In most societies, religious leaders play an influential role in the construction of gender norms. One setting in which they exert their influence is the premarital or couples counseling course. We hypothesized that if leaders offered a more progressive religious interpretation of gender roles during these courses, emphasizing the need for men to improve their relationships by balancing power and decision-making with their spouses, violence would reduce. We find that when Christian leaders in Uganda offered these types of courses, power shifted from men to women, and intimate partner violence decreased by five percentage points a year later. Given the ubiquity of premarital counseling within churches, the intervention has the potential to reach a massive audience.
Detection of Critical Spinal Epidural Lesions on CT Using Machine Learning

Background. Critical spinal epidural pathologies can cause paralysis or death if untreated. Although magnetic resonance imaging is the preferred modality for visualizing these pathologies, computed tomography (CT) occurs far more commonly than magnetic resonance imaging in the clinical setting. Objective. A machine learning model was developed to screen for critical epidural lesions on CT images at a large-scale teleradiology practice. This model has utility for both worklist prioritization of emergent studies and identifying missed findings. Materials and Methods. There were 153 studies with epidural lesions available for training. These lesions were segmented and used to train a machine learning model. A test data set was also created using previously missed epidural lesions. The trained model was then integrated into a teleradiology workflow for 90 days. Studies were sent to secondary manual review if the model detected an epidural lesion but none was mentioned in the clinical report. Results. The model correctly identified 50.0% of epidural lesions in the test data set with 99.0% specificity. For prospective data, the model correctly prioritized 66.7% of the 18 epidural lesions diagnosed on the initial read with 98.9% specificity. There were 2.0 studies flagged for potential missed findings per day, and 17 missed epidural lesions were found during a 90-day time period. These results suggest almost half of critical spinal epidural lesions visible on CT imaging are being missed on initial diagnosis. Conclusion. A machine learning model for identifying spinal epidural hematomas and abscesses on CT can be implemented in a clinical workflow.
Unidirectionally excited phonon polaritons in high-symmetry orthorhombic crystals

Advanced control over the excitation of ultraconfined polaritons—hybrid light and matter waves—empowers unique opportunities for many nanophotonic functionalities, e.g., on-chip circuits, quantum information processing, and controlling thermal radiation. Recent work has shown that highly asymmetric polaritons are directly governed by asymmetries in crystal structures. Here, we experimentally demonstrate extremely asymmetric and unidirectional phonon polariton (PhP) excitation via directly patterning high-symmetry orthorhombic van der Waals (vdW) crystal α-MoO3. This phenomenon results from symmetry breaking of momentum matching in polaritonic diffraction in vdW materials. We show that the propagation of PhPs can be versatile and robustly tailored via structural engineering, while PhPs in low-symmetry (e.g., monoclinic and triclinic) crystals are largely restricted by their naturally occurring permittivities. Our work synergizes grating diffraction phenomena with the extreme anisotropy of high-symmetry vdW materials, enabling unexpected control of infrared polaritons along different pathways and opening opportunities for applications ranging from on-chip photonics to directional heat dissipation.
Translingual neural stimulation affects resting‐state functional connectivity in mild‐moderate traumatic brain injury

Traumatic brain injury (TBI) can lead to movement and balance deficits. In addition to physical therapy, brain‐based neurorehabilitation efforts have begun to show promise in improving these deficits. The present study investigated the effectiveness of translingual neural stimulation (TLNS) on patients with mild‐to‐moderate TBI (mmTBI) and related brain connectivity using a resting‐state functional connectivity (RSFC) approach.
BDNF val66met genotype is not associated with psychological distress: A cross-sectional study in Indonesian Pharmacy young adults

The number of mental disorders has been increasing but has yet to receive sufficient attention. In particular, healthcare students and professionals tend to have high stress burden. Finding the root cause of psychological distress is important to formulate a method for early detection and prevention. The association of brain-derived neurotrophic factor val66met polymorphism to neuropsychiatric disorders has been widely studied. To study the interplay between brain-derived neurotrophic factor val66met polymorphism and sociodemographic factors in the pathogenesis of psychological distress among Indonesian Pharmacy students. Level of psychological distress and sociodemographic profiling was collected by using the Kessler Psychological Distress Scale and sociodemographic questionnaires, respectively. Genotyping was performed using polymerase chain reaction-amplified refractory mutation system. Pearson’s chi square and binomial logistic tests were used to evaluate the correlation. This study recruited 148 participants. The psychological distress levels of the participants were well (27.03%), mild (37.16%), moderate (25.00%), and severe (10.81%). Genotypic distributions were AA (25.67%), GA (50.68%), and GG (23.65%). No statistical significance between genotype and psychological distress was found in the study (P = .076). The sociodemographic factors also showed non significance, except for the source of tuition fee among women students (P = .049). Psychological distress is not affected by genotypic and sociodemographic factors. Further confirmatory research with larger and broader populations is required.
Effects of electroconvulsive therapy on cognition and quality of life in schizophrenia.

INTRODUCTION The effects of electroconvulsive therapy (ECT) on quality of life (QoL), and its relationship with symptom and cognitive change remains unclear. We aim to examine the association of QoL changes with psychiatric symptom and cognitive changes among patients with schizophrenia who underwent ECT. METHODS This is a retrospective cohort study of 132 patients who received ECT from July 2017 to December 2019. Sociodemographic and clinical characteristics were obtained from medical records. Changes in QoL, psychiatric symptoms and cognition function were examined after 6 sessions of ECT. Generalised linear regression was used to examine the associations of Brief Psychiatric Rating Scale (BPRS) scores and Montreal Cognitive Assessment (MoCA) scores with QoL as measured by EQ-5D scores. RESULTS The mean (standard error) improvements after ECT were statistically significant for the assessment scales of EQ-5D utility score: 0.77 (0.02) to 0.89 (0.02), P<0.001; EuroQol-5-Dimension (EQ-5D) visual analogue scale score: 66.82 (2.61) to 73.05 (1.93), P=0.012; and EQ-5D subdomain scores. Both improvement in BPRS (adjusted β coefficient -0.446, 95% confidence interval [CI] -0.840 to -0.052) and MoCA (adjusted β 12.068, 95% CI 0.865 to 12.271) scores were significantly associated with improvement in EQ-5D utility scores after adjustment for sociodemographic and clinical characteristics. Improvement of BPRS scores (psychiatric symptoms) was significantly associated with improvement of the patients' mental health that was assessed by EQ-5D subdomain scores of pain (adjusted β coefficient 0.012, 95% CI 0.004 to 0.021) and anxiety (adjusted β coefficient 0.013, 95% CI 0.002 to 0.024). Improvement of MoCA scores (cognitive function) was significantly associated with patients' physical health as assessed by EQ-5D subdomain score of usual activity (adjusted β coefficient -0.349, 95% CI -0.607 to -0.09). CONCLUSION ECT was associated with an overall improvement of QoL among patients with schizophrenia. The improvement of psychiatric symptoms was found to be significantly associated with better mental health while the improvement of cognitive function was associated with better physical health.
Spatial transcriptomic profiling to identify mesoderm progenitors with precision genomic screening and functional confirmation

Mesoderm, derived from a new layer between epiblast and hypoblast during gastrulation, can differentiate into various tissues, including muscles, bones, kidneys, blood, and the urogenital system. However, systematic elucidation of mesoderm characteristics and specific markers remains a challenge. This study aims to screen and identify candidate genes important for mesoderm development.
Gastrointestinal parasites diagnoses at the primary health care units: a comparative analysis of diagnostic abilities of parasitology staff technicians versus medical parasitologists in Ismailia, Egypt.

BACKGROUND This study aims to compare parasitology technicians (ParaTechs) with medical staff parasitologists (MedParas) in terms of diagnostic ability and to assess the actual occurrence of gastrointestinal parasites in selected faecal samples from primary health care units (PHCUs). METHODS The study included five PHCU ParaTechs in the El-Kassassin rural area, evaluated using a scoring system for their knowledge, skills, practices and parasitology laboratory facilities. Seventy-five faecal samples previously examined for ova and parasites by ParaTechs were chosen for re-evaluation by MedParas. RESULTS The most deficient ParaTechs-related factor was the parasitological knowledge, which scored 23.9% of the maximum score, while ParaTechs had acceptable levels of skills and practices, scored 60% and 61%, respectively. Compared with MedParas, false positive ParaTech diagnoses made up 8.8% of all negative samples, while false negative diagnoses made up 85.4% of all positive samples. ParaTechs underestimated the count or misidentified the type of parasites in one-third of the true positive samples. The overall rate of misdiagnosis among ParaTechs was 53.3% of all samples. CONCLUSIONS Regular ParaTech training, including culture and staining at parasitology labs, and collaboration between the Ministry of Health and Population and academic institutions are essential to increase ParaTechs diagnostic abilities.
Midgut malrotation presenting with hyperemesis gravidarum: A case report

Rationale: Midgut malrotation is a rare congenital abnormality resulting from failure of complete intestinal rotation and subsequent fixation during early fetal development. There appeared to be no obvious symptoms in most patients, and a few patients may exhibit symptoms similar to hyperemesis gravidarum, such as nausea and vomiting. Here, we present a case of midgut malrotation presenting as hyperemesis gravidarum. Patient concerns: A 27-year-old woman with an intrauterine pregnancy of 27 + 6 weeks complained of severe nausea and vomiting for 2 weeks. Diagnosis: Magnetic resonance imaging showed obvious dilatation in the proximal part of the duodenum and gastric cavity and the absence of a duodenal path dorsal to the superior mesenteric artery, which was diagnosed as midgut malrotation. Interventions: Considering that the patient’s vital signs were stable, without manifestation of peritonitis or the risks of surgery to the fetus, conservative treatment was adopted. Unfortunately, the fetus developed severe hydrocephalus at 32 weeks. The patient and her family decided to abandon the fetus, and a mid-trimester-induced abortion was performed. Outcomes: The related symptoms completely disappeared after delivery, and the relevant examination after discharge also confirmed the presence of midgut malrotation without gastrointestinal discomfort within 1 year after delivery. Lessons: Midgut malrotation can be considered as a differential diagnosis of hyperemesis gravidarum. Conservative treatment under close monitoring is desirable in pregnant women diagnosed with midgut malrotation.
Soil gas radon, indoor radon and its diurnal variation in the northern region of Cameroon

ABSTRACT Soil gas radon and indoor radon measurements have been carried out in Mayo-Louti and Benoué Divisions in northern Cameroon. Concentrations of radon in soil have been measured using Markus 10 at the depth of about 1 m. Radon concentration in soil varies from 0.9 to 13.8 kBq m−3 with a mean value of 4.6 kBq m−3. Average daily indoor radon concentrations measured with RadonEye+2 detectors vary from 7 to 60 Bq m−3 with an average of 17 Bq m−3. Indoor radon concentrations measured with passive RADTRAK detectors range between 15 and 104 Bq m−3 with a geometric value of 38 Bq m−3 and a geometric standard deviation of 1.5. This geometric value is lower than the value of 30 Bq m–3 given by UNSCEAR. Indoor radon inhalation dose ranges between 0.28 and 1.97 mSv a−1 with geometric value of 0.72 mSv a−1 (at 0.03 standard deviation). Outdoor radon inhalation ranges between 0.02 and 0.26 mSv a−1 with a mean value of 0.09 mSv a−1. The total annual effective dose due to indoor and outdoor radon exposure for this study area is 0.81 mSv a−1, less than 1.15 mSv a−1 the world average value given by UNSCEAR. There is no significant radiological risk for the inhabitants.
Compression of D_{2} to 460 GPa and Isotopic Effects in the Path to Metal Hydrogen.

How are nuclear quantum fluctuations affecting the properties of dense hydrogen approaching metallization? We report here Raman spectroscopy and synchrotron infrared absorption measurements on deuterium up to 460 GPa at 80 K. By comparing to a previous similar study on hydrogen, isotopic effects on the electronic and vibrational properties in phase III are disclosed. Also, evidence of a probable transition to metal deuterium is observed, shifted by about 35 GPa compared to that in hydrogen. Advanced calculations, quantifying a reduction of the band gap caused by nuclear quantum fluctuations, are compared to the present data.
Asymmetric generalizability of multimodal brain‐behavior associations across age‐groups

Machine learning methods have increasingly been used to map out brain‐behavior associations (BBA), and to predict out‐of‐scanner behavior of unseen subjects. Given the brain changes that occur in the context of aging, the accuracy of these predictions is likely to depend on how similar the training and testing data sets are in terms of age. To this end, we examined how well BBAs derived from an age‐group generalize to other age‐groups. We partitioned the CAM‐CAN data set (N = 550) into the young, middle, and old age‐groups, then used the young and old age‐groups to construct prediction models for 11 behavioral outcomes using multimodal neuroimaging features (i.e., structural and resting‐state functional connectivity, and gray matter volume/cortical thickness). These models were then applied to all three age‐groups to predict their behavioral scores. When the young‐derived models were used, a graded pattern of age‐generalization was generally observed across most behavioral outcomes—predictions are the most accurate in the young subjects in the testing data set, followed by the middle and then old‐aged subjects. Conversely, when the old‐derived models were used, the disparity in the predictive accuracy across age‐groups was mostly negligible. These findings hold across different imaging modalities. These results suggest the asymmetric age‐generalization of BBAs—old‐derived BBAs generalized well to all age‐groups, however young‐derived BBAs generalized poorly beyond their own age‐group.
Low-temperature nanowelding silver nanowire hybrid flexible transparent conductive film for green light OLED devices

Flexible organic light emitting diodes (OLED) have attracted great attention in many applications. MXene based flexible transparent conductive films (TCFs) are the most promising next-generation electrodes for flexible electronics. Herein, the sandwich conductive structure of silver nanowires (AgNWs) network, new 2D nanosheets with excellent conductivity, hydrophilicity and mechanical flexibility and PEDOT:PSS contributes to a highly transparent and conductive hybrid electrode through a simple, scalable, low-cost spray method. The Ti3C2T x /AgNWs/PEDOT-PET film shows a low sheet resistance (<30 Ω/sq) and high transmittance (>80%) at 550 nm. Flexible OLED with such hybrid anode has the maximum brightness, current efficiency and current density, as high as 10 040 cd m−2, 3.7 cd A−1 and 535.5 mA cm−2, respectively. These results indicate that the novel Ti3C2T x /AgNWs/PEDOT-PET TCFs have a great potential for high-performance flexible optoelectronic devices.