Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain

Objectives To characterize subcortical nuclei by multi-parametric quantitative magnetic resonance imaging. Materials and Methods: The following quantitative multiparametric MR data of five healthy volunteers were acquired on a 7T MRI system: 3D gradient echo (GRE) data for the calculation of quantitative susceptibility maps (QSM), GRE sequences with and without off-resonant magnetic transfer pulse for magnetization transfer ratio (MTR) calculation, a magnetization−prepared 2 rapid acquisition gradient echo sequence for T1 mapping, and (after a coil change) a density-adapted 3D radial pulse sequence for 23Na imaging. First, all data were co-registered to the GRE data, volumes of interest (VOIs) for 21 subcortical structures were drawn manually for each volunteer, and a combined voxel-wise analysis of the four MR contrasts (QSM, MTR, T1, 23Na) in each structure was conducted to assess the quantitative, MR value-based differentiability of structures. Second, a machine learning algorithm based on random forests was trained to automatically classify the groups of multi-parametric voxel values from each VOI according to their association to one of the 21 subcortical structures. Results The analysis of the integrated multimodal visualization of quantitative MR values in each structure yielded a successful classification among nuclei of the ascending reticular activation system (ARAS), the limbic system and the extrapyramidal system, while classification among (epi-)thalamic nuclei was less successful. The machine learning-based approach facilitated quantitative MR value-based structure classification especially in the group of extrapyramidal nuclei and reached an overall accuracy of 85% regarding all selected nuclei. Conclusion Multimodal quantitative MR enabled excellent differentiation of a wide spectrum of subcortical nuclei with reasonable accuracy and may thus enable sensitive detection of disease and nucleus-specific MR-based contrast alterations in the future.
Ser71 Phosphorylation Inhibits Actin-Binding of Profilin-1 and Its Apoptosis-Sensitizing Activity

The essential actin-binding factor profilin-1 (Pfn1) is a non-classical tumor suppressor with the abilities toboth inhibit cellular proliferation and augment chemotherapy-induced apoptosis. Besides actin, Pfn1 interacts with proteins harboring the poly-L-proline (PLP) motifs. Our recent work demonstrated that both nuclear localization and PLP-binding are required for tumor growth inhibition by Pfn1, and this is at least partially due to Pfn1 association with the PLP-containing ENL protein in the Super Elongation Complex (SEC) and the transcriptional inhibition of pro-cancer genes. In this paper, by identifying a phosphorylation event of Pfn1 at Ser71 capable of inhibiting its actin-binding and nuclear export, we provide in vitro and in vivo evidence that chemotherapy-induced apoptotic sensitization by Pfn1 requires its cytoplasmic localization and actin-binding. With regard to tumor growth inhibition byPfn1, our data indicate a requirement for dynamic actin association and dissociation rendered by reversible Ser71phosphorylation and dephosphorylation. Furthermore, genetic and pharmacological experiments showed that Ser71 of Pfn1 can be phosphorylated by protein kinase A (PKA). Taken together, our data provide novel mechanistic insights into the multifaceted anticancer activities of Pfn1 and how they are spatially-defined in the cell and differentially regulated by ligand-binding.
Inside the Clockwork of the ECHO Factorial Trial: A Conceptual Model With Proposed Mediators for Prevention of Emotional Problems in Children

Having interventions that are not only evidence-based and effective but also cost-effective and efficient is important for the prevention and treatment of child and adolescent emotional problems. A randomized clinical trial (RCT) tests the total interventions effect but does not address specific components of the intervention. In this article the hypothesis and a conceptual model of the ECHO study are presented and discussed. The ECHO intervention consists of three different components each containing two levels of intervention. By using a cluster randomized factorial design, children aged 8–12 at 40 schools across Norway will be randomized to eight different experimental conditions investigating the optimal balance between effect, cost-effectiveness, and efficiency. The article presents the design and the different components being tested and discusses how optimalization can be reached through this innovative design. The article also discusses how interventions can be improved by investigating and understanding the mechanisms of change within psychological interventions. For each of the three components in the study we consider the mediators that could be active within the intervention and how the study investigates such mediation. The results will contribute to a better understanding of how psychological interventions work and how we intend to optimize the EMOTION intervention.
Participant Experiences of Transcranial Direct Current Stimulation (tDCS) as a Treatment for Antipsychotic Medication Induced Weight Gain

Background: Despite the growing number of studies on the use of non-invasive brain stimulation in people with schizophrenia, there is limited research on participant views of such treatment methods. Aim: Explore participant experiences and perceptions of transcranial direct current stimulation (tDCS). Methods: Twelve people with schizophrenia took part in semi-structured interviews after having completed 5 sessions of tDCS. Thematic analysis was used to identify codes and themes. Results: Five themes were identified: (1) motivation for study enrolment; (2) concerns about tDCS; (3) factors reducing the fear of tDCS; (4) experience of tDCS; (5) perceived effects of tDCS. Conclusions: The study provides insight into the perceptions and experiences of each individual. Participants were concerned about the safety of tDCS and associated it with invasive procedures such as electroconvulsive therapy and lobotomy. Educational materials and a good relationship with the researcher played an important role in reducing the fear of brain stimulation. All participants described tDCS as uncomfortable, however, agreed that unpleasant sensations only lasted for a short while (20 s−5 min). After the first session, participants no longer felt anxious about the remaining ones. Strategies to improve treatment experience and study recruitment have been identified.
PDE2 Inhibits PKA-Mediated Phosphorylation of TFAM to Promote Mitochondrial Ca2+-Induced Colorectal Cancer Growth

Growing evidence indicates that the dysregulation of mitochondrial calcium (Ca2+) plays a critical role in the growth of tumor cells, including colorectal cancer (CRC). However, the underling mechanism is not fully elucidated. In this study, the regulatory effects of mitochondrial Ca2+ on phosphodiesterase 2 (PDE2)/cAMP/PKA axis and the phosphorylation of mitochondrial transcription factor A (TFAM) as well as the growth of CRC cells were systematically investigated both in vitro and in vivo. Our findings demonstrated that MCU-induced mitochondrial Ca2+ uptake activated mitochondrial PDE2 in CRC cells. Moreover, overexpression MCU in CRC led to a 1.9-fold increase in Ca2+ uptake compared to control cells. However, knockdown of MCU resulted in 1.5-fould decrease in Ca2+ uptake in mitochondria compared to the controls. Activation of mitochondrial PDE2 significantly inhibited the activity of mitochondrial protein kinase A (PKA), which subsequently leads to decreased phosphorylation of TFAM. Our data further revealed that PKA regulates the phosphorylation of TFAM and promotes the degradation of phosphorylated TFAM. Thus, TFAM protein levels accumulated in mitochondria when the activity of PKA was inhibited. Overall, this study showed that the overexpression of MCU enhanced CRC growth through promoting the accumulation of TFAM proteins in mitochondria. Conversely, knockdown of MCU in CRC cells resulted in decreased CRC growth. Collectively, these data suggest that the mitochondrial Ca2+-activated PDE2/cAMP/PKA axis plays a key role in regulating TFAM stability and the growth of CRC cells.
A Comparative Study on Changes in Total and Differential Milk Cell Counts, Activity, and Expression of Milk Phagocytes of Healthy and Mastitic Indigenous Sahiwal Cows

Milk somatic cell counts (SCCs) have been used as a gold standard to monitor mammary health as well as an indicator of raw milk quality. The present work was undertaken to compare the changes in the milk SCC, milk differential leukocyte counts (DLCs), phagocytic activity (PA) of milk neutrophils and macrophages (by nitroblue tetrazolium assay), extracellular trap formation (PicoGreen assay) and mRNA expression of various genes in milk neutrophils and macrophages (reverse transcription–polymerase chain reaction), and milk plasma cortisol concentration (enzyme-linked immunosorbent assay) in healthy, subclinical mastitis (SCM), and clinical mastitis (CM) cows. Milk was collected from healthy, SCM, and CM cows grouped based on their SCCs and California mastitis test with eight cows in each group. Milk SCC was estimated by SCC counter, and DLC was done after staining the milk slide under a microscope at 100×. Total SCCs in healthy, SCM, and CM cows were on an average of 128.30, 300.3, and 694.40 × 103 cells/mL, respectively. Milk DLCs indicated a lower percentage of macrophage and lymphocytes and a higher (p < 0.05) percentage of neutrophils in SCM and CM compared to healthy milk. The percentage of mature segmented neutrophils was lower, whereas immature band neutrophils were higher (p < 0.05) in the SCM and CM groups as compared to healthy cows. The viability, in vitro PA, and extracellular trap formation of neutrophils were lower (p < 0.05) in SCM and CM milk samples as compared to healthy samples. However, the PA of macrophage remained unchanged in all the studied groups. The relative mRNA expression of Toll-like receptors (TLR2, TLR4), myeloperoxidase, and interleukin 2α (IL-2α) receptor (CD25) were minimum in healthy samples and increased (p < 0.05) with the progress of mammary inflammation. However, CD44 decreased (p < 0.05), and CD62L remained unchanged in mastitis as compared to healthy cows. Plasma cortisol concentrations were higher (p < 0.05) in mastitis as compared to healthy cows and were negatively correlated with the number of milk macrophages and the functions of milk phagocytes. Estimation of total SCC, milk DLC, and activity of milk phagocytes is essential for effective control and prevention of incidence of mastitis in dairy cows.
Sparger Type Influence on the Hydrodynamics of the Draft Tube Airlift Reactor with Diluted Alcohol Solutions

The objective of this work was to investigate the influence of normal aliphatic alcohols (from methanol to n-octanol) and the gas sparger type (single orifice, perforated plate, and sinter plate) on the hydrodynamics of a draft tube airlift reactor. The results showed that the presence of alcohols led to both an increase in the gas holdup and reduction of the downcomer liquid velocity, in comparison to the values obtained in water. The type of gas sparger also changed the hydrodynamic behavior—the gas holdup increased with dispersion effectiveness, from single orifice to sinter plate, while the effect on the downcomer liquid velocity was in conjunction with the liquid phase properties. Simple correlations were developed to predict the gas holdup and the downcomer liquid velocity. Beside the gas superficial velocity, the proposed correlations include the surface tension gradient, as a unique parameter which represents the liquid phase properties, and sparger related variables: the ratio of the sparger’s to.
CMAR_A_202664 2963..2976

1Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700 People’s Republic of China; 2Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, USA; 3Department of Chronic Disease Epidemiology, Yale School of Public Health, School of Medicine, Yale University, New Haven, CT, 06520-8034, USA; 4Center for Biomedical Data Science, Yale Cancer Center, Yale University, New Haven, CT, USA Background: Accumulating evidence suggests an antineoplastic role of MicroRNA-34a
Giving a Voice to Students with Disabilities to Design Library Experiences: An Ethnographic Study

Although librarians generally display an inclusive management style, barriers to students with disabilities remain widespread. Against this backdrop, a collaborative research project called Inclusive Library was launched in 2019 in Catalonia, Spain. This study empirically tests how involving students with disabilities in the experience design process can lead to new improvements in users’ library experience. A mix of qualitative techniques, namely focus groups, ethnographic techniques and post-experience surveys, were used to gain insights from the 20 libraries and 20 students with disabilities collaborating in the project. Based on the participants’ voices and follow-up experiences, the study makes several suggestions on how libraries can improve their accessibility. Results indicate that ensuring proper resource allocation for accessibility improves students with disabilities’ library experience. Recommendations for library managers are also provided.
STUDIES ON PROXIMATE COMPOSITION AND AMINOACIDS PROFILE OF Sardinella longiceps, CLUPIDAE FROM COASTAL TAMILNADU, INDIA

The present study was focused on proximate composition and amino acids profile of Sardinella longiceps collected from three different coastal areas of Tamilnadu like Chennai, Tuticorin and Kanyakumari. This study aims to investigate the chemical composition, amino acid fractions in fish tissues. This study, revealed that moisture, protein, and fat are the main constituents of fish. Protein content showed higher % in the fish collected from Chennai coastal area than Tuticorin and Kanyakumari fish samples. Totally 21 Amino acids were estimated among which 13 Amino acids were in higher concentration in Chennai coast and 5 in Kanyakumari and 3 at Tuticorin. Protein was highest at Chennai coast in Proximate Composition amino acids profile were found to be present in Chennai > Kanyakumari > Tuticorin.
Multi-waveform cross-correlation search method for intermediate-duration gravitational waves from gamma-ray bursts

Gamma-ray Bursts (GRBs) are flashes of γ-rays thought to originate from rare forms of massive star collapse (long GRBs), or from mergers of compact binaries (short GRBs) containing at least one neutron star (NS). The nature of the post-explosion / post-merger remnant (NS versus black hole, BH) remains highly debated. In ∼ 50% of both long and short GRBs, the temporal evolution of the X-ray afterglow that follows the flash of γ-rays is observed to “plateau” on timescales of ∼ 10 − 10 s since explosion, possibly signaling the presence of energy injection from a long-lived, highly magnetized NS (magnetar). The Cross-Correlation Algorithm (CoCoA) proposed by [R. Coyne et. al., Phys Rev D. 93 104059 (2016)] aims to optimize searches for intermediate-duration (10 − 10 s) gravitational waves (GWs) from GRB remnants. In this work, we test CoCoA on real data collected with ground-based GW detectors. We further develop the detection statistics on which CoCoA is based to allow for multi-waveform searches spanning a physically-motivated parameter space, so as to account for uncertainties in the physical properties of GRB remnants.
Anything goes? Exploring the limits of employment law in UK hospitality and catering

Through a case study of the UK hospitality and catering sector, this article explores the limits of employment law as a means of protecting workers from ill or unfair treatment. Finding microbreaches of the law to be common practice in the sector—akin to industry norms or ‘custom and practice’—it considers the routinisation of these microbreaches as an instance of conflict between formal legal rules and social norms. The conflict is problematic because it means that workers are less likely to perceive breach of their legal rights as an injustice worthy of challenge. The industry norms observed have been formed under the influence of an asymmetrical distribution of information and power, including organisational control over the labour process. If employment law is to be made effective, a realignment of legal rules with social norms is needed and, at the same time, the correction of this asymmetry.
A NONSTANDARD FINITE DIFFERENCE METHOD APPLIED TO A MATHEMATICAL CHOLERA MODEL

In this paper, we aim to construct a nonstandard finite difference (NSFD) scheme to solve numerically a mathematical model for cholera epidemic dynamics. We first show that if the basic reproduction number is less than unity, the disease-free equilibrium (DFE) is locally asymptotically stable. Moreover, we mainly establish the global stability analysis of the DFE and endemic equilibrium by using suitable Lyapunov functionals regardless of the time step size. Finally, numerical simulations with different time step sizes and initial conditions are carried out and comparisons are made with other well-known methods to illustrate the main theoretical results.
Buffering Effect of Spousal Support on Stress Levels in Mothers of Children with a Diagnosis of Autism Spectrum Disorder in Kerala, India

Abstract Objectives Bringing up a child with the diagnosis of autism spectrum disorder (ASD) can be highly stressful. This study aimed to assess perceived stress, level of spousal support, emotion-focused coping styles, and other potentially associated factors among mothers accompanying children diagnosed with ASD for care from selected institutions in Kerala, India. Materials and Methods Consenting parents accompanying children to therapeutic programs in selected institutions were administered a semi structured interview schedule incorporating questions of the vernacular version of the Perceived Stress Scale (PSS-10), emotion-based coping strategies, spousal support in care of the child diagnosed with ASD, and possible-associated factors. Since internal consistency of stress and coping questionnaires were low, principal component analysis was used to extract composite variables with reasonable psychometric characteristics for stress and coping. Statistical Analysis Ordinal logistic regression was performed with a three-level stress category as the outcome variable. Results High stress was significantly associated with low spousal support (adjusted odds ratio or AOR: 2.80; 95% confidence intervals or CI 1.28–6.11), having a completely dependent child (AOR 4.24 [95% CI 1.92–9.38]), and low acceptance levels (AOR 2.60 [95% CI 1.14–5.89]). Unlike mothers with high spousal support, mothers with low spousal support were likely to have difficulty in interacting with others (p = 0.02) and a low level of acceptance (p = 0.05). Conclusion Spousal support is important to preserve psychological health in mothers of children diagnosed with ASD. Mothers with low spousal support may need interventions that help increase acceptance levels or decrease avoidant behavior.
SIMULATION OF Ti6Al4V USING DEFORM 3D

Analysis in simulation give an effective approach to use graphical comparison and representation of various parameters and their effect on variables. Temperature study is a very essential parameter in machining of hard metals. Similarly a number of other factors are important in this study like velocity, force, stress etc. The present study explores the basic finishing characteristics of the magnetic abrasive produced by the sintering process. After sintering process improved quality magnetic abrasives was obtained, where the abrasive particle sticks on the base metal matrix.
COPD_A_292109 1243..1253

I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Kazan State Medical University, Kazan, Russia; Ryazan State Medical University Named After Academician I. P. Pavlov, Ryazan, Russia; The Main Military Clinical Hospital Named After Academician N. N. Burdenko, Moscow, Russia; Regional Clinical Hospital No. 4, Chelyabinsk, Russia; Pirogov Russian National Research Medical University, Moscow, Russia; Chelyabinsk Road Clinical Hospital “Russian Railways”, Chelyabinsk, Russia; Nikiforov’s All-Russian Center for Emergency and Radiation Medicine of the Emergencies, St. Petersburg, Russia; I.P. Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia; NorthWestern State Medical University Named After I.I. Mechnikov, St. Petersburg, Russia; Regional State City Hospital No. 5, Barnaul, Russia; Regional State Clinical Hospital, Barnaul, Russia; Voronezh Regional Clinical Hospital No. 1, Voronezh, Russia; St. Petersburg State City Polyclinic No. 106, St. Petersburg, Russia; St. Petersburg State Vvedenskaya City Clinical Hospital, St. Petersburg, Russia; State Samara City Hospital No. 4, Samara, Russia; Privolzhsky Research Medical University, Nizhny Novgorod, Russia; State City Clinical Hospital No. 10, Nizhny Novgorod, Russia
Deep Learning for Terrain Surface Classification: Vibration-based Approach

As robots become more pervasive in the service sector, control in dynamic environment has become an important element in optimising the deployment of mobile robots. A mobile robot should be knowledgeable not only of the barriers, but also of the surface on which the robot navigates to estimate slippage and adaptive control. We note that various terrains/surfaces have different characteristics, which can directly influence the handling, driving, efficiency, and stability of the robot vehicle. Knowledge of the terrain can provide valuable information for establishing effective and secure navigation strategies. We built a mobile robot prototype equipped by Inertial Measurement Unit (IMU) to obtain the terrain data and applied deep learning models to classify the terrain using the data. Three deep learning configurations have been proposed in this paper, i.e. long short-term memory (LSTM), 1D convolutional network (1D CNN), and convolutional neural network-long short-term memory network (CNN-LSTM). The deep learning architectures were trained and evaluated based on the data collected from five different surfaces. It is shown that the CNN-LSTM performs the best with an F1 score of 98.49%. The other two networks also generalize relatively well with the unseen vibration sequences with F1 scores of 97.47% and 95.98% for the 1D CNN and LSTM, respectively. Finally, we investigate the effect of varying input sequence to find the optimal length, so that we are able to obtain the highest accuracy and generalization of the deep learning networks.
TEACHER FREEZING OF SECONDARY SCHOOL TEACHERS IN RELATION TO THEIR LOCUS OF CONTROL

The present study is an attempt to study the effect of locus of control on teacher freezing of secondary school teachers. Descriptive Survey Method was used. A sample of 320 senior secondary school teachers was taken on the basis of random sampling method. Teacher Freezing Scale by Taj Haseen (1996) and Locus of Control Scale (LCS) By Hasnain and Joshi (1992) were taken to assess the teacher freezing and locus of control of teachers. Mean, Standard Deviation, ‘t’ test and Karl Pearson’s Product Moment Coefficient Correlation were used to analyze the data. Findings of the study were: (i) Teachers having extrinsic locus of control have higher teacher freezing than those teachers with intrinsic locus of control; (ii) Male teachers having extrinsic locus of control have higher teacher freezing than those male teachers having intrinsic locus of control and (iii) Female teachers having extrinsic locus of control have higher teacher freezing than those female teachers having intrinsic locus of control.