Miracle-dz/UniFAR-FTUs huggingface dataset:
Static magnetic field modulates olfactory ensheathing cell's morphology, division, and migration activities, a biophysical approach to regeneration

The moderate static magnetic fields (SMFs) have been used here as a non‐invasive tool to study their manipulative effects on the olfactory ensheathing cells (OECs) activity, growth, morphology, and migration in culture. The OECs are involved in the regeneration of primary olfactory sensory neurons and migration into the central nervous system to repair axons damaged by infection, injury, etc., that play a pivotal role in complementary regenerative medicine. Here, OECs were isolated from the olfactory bulb and cultured to confluence. An in vitro wound healing model was formed and exposed to either parallel (PaSMF) or perpendicular (PeSMF) SMF at intensities of 30, 50, and 70 mT, and cells' morphology, podia formation, proliferation, and migration were studied by time‐lapse recording. The SMFs were not cytotoxic at the intensity and exposure time applied here. The exposure of cells to 70 mT PaSMF and PeSMF increased the formation of lamellipodia and filopodia, cell migration speed, and direction of the scratch forefront cells, significantly. Treatment of cells with 70 mT PaSMF and PeSMF increased cell divisions, while 30 mT PaSMF decreased it. SMF effects on OECs division, motility, migratory direction, and velocity indicate its effect on various aspects of cell physiology and signaling at atomic and molecular levels, and have a role in tissue regeneration that involves microtubules and actin filaments formation and rearrangements. Thus, the exposure of OECs with moderate SMF might be considered a promising noninvasive approach to remotely manipulate normal and stem cell activities for therapeutic regenerative purposes in various tissues including the central nervous system.
A meta-structure for DSM-5 and ICD-11 pathological traits and the differentiation of personality functioning at different trait levels in older adults

Abstract Objectives Categorical criteria are not well suited to inform personality disorder (PD) diagnoses in older adults. More promising are the ICD-11 and DSM-5 alternative models. Both conceptualize PD by level of severity and maladaptive traits. Severity is conditional for making a PD diagnosis. Trait levels portray stylistic differences in PD expression. Yet, in older adults the hierarchical trait structure is unknown. Neither is the differentiation of the severity criterion from maladaptive traits confirmed. Methods A series of exploratory factor analyses with progressively greater numbers of factors were conducted to examine the hierarchical trait structure in 293 community dwelling older adults. The on average differentiation of a single higher order personality functioning factor from trait factors at succeeding levels of the hierarchy was estimated with Cohen q effect size. Results Six meaningful trait levels were identified. From the fourth trait level on the general personality functioning factor shared less than 15% variance on average with the trait factors. Trait factors at the sixth level corresponded to both DSM-5 and ICD-11 pathological traits. Conclusion A future nosology integrating DSM-5 and ICD-11 trait proposals would be applicable in older adults. Personality functioning can be differentiated from traits, so separate assessment of traits and severity is worthwhile.
Length-weight relationships of 55 mesopelagic fishes from the eastern tropical North Atlantic: across- and within-species variation (body shape, growth stanza, condition factor).

We present estimates of length-weight relationships (LWRs) of 55 mesopelagic fish species of 13 taxonomic families based on data collected in the eastern tropical North Atlantic (ETNA) in March/April 2015. Our data include novel records for 19 species, while for 25 species, LWRs are based on the most robust sample sizes and for 21 species, based on the most representative size ranges available up to now. In 31 species, body lengths were within the maximum range of body lengths recorded in the area, with new records of maximum lengths for 13 species. Most values for b fell between 2.5 and 3.5 with a mean exponent b of 3.08 (median 3.12) and a mean a of 0.0172 (median 0.0113). Body shape as covariate ('elongated', 'fusiform' and 'short-deep') strongly determined the variation in log a as a function of parameter b. For the mesopelagic fish species investigated, the form factor a3.0 indicated a significant increase of median a3.0 from 'elongated' to 'fusiform' to 'short-deep' body shapes. Large variability existed in parameter b between species of the same taxonomic family. Isometric growth was indicated in only nine species, whereas a positive allometry was suggested in 22 species. Using segmented regression analysis, we investigated ontogenetic variation in LWRs in 30 species. Of these, 20 species showed a breakpoint in LWR, whereby nearly equal numbers exhibited an increase or a decrease in slope following the breakpoint. Seven out of nine species showed significant regional variation in the slope of the relationship of the relative condition factor Krel vs. body length between two or more regions of the ETNA (eastern and western part of the oxygen minimum zone (LO-E, LO-W), northern and central equatorial region (EQ-N, EQ-C)). A conspicuous pattern was an increase in Krel with body size in the LO-E (in six out of eight species), whereas in the LO-W and the equatorial regions the majority of species showed a related decrease. These findings support the idea that growth patterns in mesopelagic fishes in tropical regions show species-specific ecological niche and life history adaptations that are finely tuned to small-scale regional environmental conditions. Comparison of our data with those of other studies emphasises that, regarding the small adult sizes of many mesopelagic fish species, estimates of LWR parameters are strongly influenced by sampled size distributions. This article is protected by copyright. All rights reserved.
2022 EULAR points to consider for remote care in rheumatic and musculoskeletal diseases

Background Remote care and telehealth have the potential to expand healthcare access, and the COVID-19 pandemic has called for alternative solutions to conventional face-to-face follow-up and monitoring. However, guidance is needed on the integration of telehealth into clinical care of people with rheumatic and musculoskeletal diseases (RMD). Objective To develop EULAR points to consider (PtC) for the development, prioritisation and implementation of telehealth for people with RMD. Methods A multidisciplinary EULAR task force (TF) of 30 members from 14 European countries was established, and the EULAR standardised operating procedures for development of PtC were followed. A systematic literature review was conducted to support the TF in formulating the PtC. The level of agreement among the TF was established by anonymous online voting. Results Four overarching principles and nine PtC were formulated. The use of telehealth should be tailored to patient’s needs and preferences. The healthcare team should have adequate equipment and training and have telecommunication skills. Telehealth can be used in screening for RMD as preassessment in the referral process, for disease monitoring and regulation of medication dosages and in some non-pharmacological interventions. People with RMD should be offered training in using telehealth, and barriers should be resolved whenever possible. The level of agreement to each statement ranged from 8.5 to 9.8/10. Conclusion The PtC have identified areas where telehealth could improve quality of care and increase healthcare access. Knowing about drivers and barriers of telehealth is a prerequisite to successfully establish remote care approaches in rheumatologic clinical practice.
Clinical Utility of Next-Generation Flow-Based Minimal Residual Disease Assessment in Patients with Multiple Myeloma

Background Minimal residual disease (MRD) is an important prognostic factor for evaluating a deeper treatment response in patients with multiple myeloma (MM). We evaluated the clinical utility of next-generation flow (NGF)-based MRD assessment in a heterogeneous MM patient population. Methods Patients with suspected morphological remission after or during MM treatment were prospectively enrolled. In total, 108 bone marrow samples from 90 patients were analyzed using NGF-based MRD assessment according to the EuroFlow protocol, and progression-free survival (PFS) was evaluated according to the International Myeloma Working Group response status, cytogenetic risk, and MRD status. Results The overall MRD-positive rate was 31.5% (34/108 samples), and MRD-positive patients showed a lower PFS than MRD-negative patients (P=0.005). MRD-positive patients showed inferior PFS than MRD-negative in patients with stringent complete remission (sCR)/complete remission (P=0.014) and high-risk cytogenetic abnormalities (P=0.016). MRD was assessed twice in 18 patients with a median interval of 12 months. Sustained MRD negativity was only observed in patients with sustained sCR, and their PFS was superior to that of patients who were not MRD-negative (P=0.035). Conclusions Clinical application of NGF-based MRD assessment can provide valuable information for predicting disease progression in patients with MM in remission, including those with high-risk cytogenetic abnormalities.
Bilingualism as a Contributor to Cognitive Reserve: What it Can do and What it Cannot do

In the absence of effective pharmacological interventions for the prevention of dementia, attention has turned to lifestyle factors that contribute to cognitive reserve. Although cognitive reserve cannot prevent the occurrence of disease, the trajectory is different for high reserve and low reserve patients, giving more time for independent living to high reserve individuals. We argue that lifelong bilingual experience meets the criteria for an experience that confers cognitive reserve, although neural reserve, a related concept, is more difficult to validate. Bilingual patients show symptoms at a later stage of disease and decline more rapidly than comparable monolingual patients. These patterns are considered in terms of evidence from behavioural, imaging and epidemiological studies. Finally, the role of bilingualism in protecting against symptoms of some forms of dementia are discussed in the context of other protective factors and the limits of this reserve approach in dealing with the consequences of dementia.
Reproductive Coercion and Intimate Partner Violence Victimization Among a Racially and Ethnically Diverse Young Adult Sample

Reproductive coercion is an understudied form of intimate partner violence (IPV) that occurs when a person attempts to control the autonomous reproductive decision making of their intimate partner. Previous research has demonstrated that individuals who experience reproductive coercion are more likely to experience other forms of IPV (e.g., physical and sexual). Research has also shown that Black/African American and Latinx/Hispanic individuals are at an increased risk of experiencing reproductive coercion compared to their White/Non-Hispanic peers. However, most of the research on reproductive coercion has been conducted in family-planning clinics where IPV is reported at a higher rate than in community samples. Thus, using a diverse community sample of female-identifying young adults (N = 370) who were recruited as part of an ongoing longitudinal study on dating violence, we examined the prevalence of lifetime reproductive coercion and its relationship with other forms of IPV, as well as the differences in prevalence among racial and ethnic groups. Lifetime prevalence of being victimized by any form of reproductive coercion was 11.4%. Results indicated that individuals who experienced reproductive coercion were more likely to experience physical and sexual IPV relative to those who did not experience reproductive coercion. With respect to race/ethnicity, 5.6% of White participants, 10.5% of Black/African American participants, and 14.8% of Hispanic/Latinx participants reported experiencing reproductive coercion. Chi-square analyses showed Hispanic/Latinx participants had a significantly higher prevalence of reproductive coercion when compared to White/Non-Hispanic participants. These findings suggest a need for additional research on culturally-specific risk and protective factors related to reproductive coercion among Hispanic/Latinx individuals to identify potential intervention and prevention strategies.
Copy‐number intratumor heterogeneity as high‐risk feature of stage II colon cancer†

Overall, the prognosis of patients suffering from stage II colon cancer is relatively favorable. However, a proportion of patients develop a recurrence following surgery. Clinical and histopathological properties that identify high‐risk patients are of limited value and better biomarkers are urgently required. In a recent issue of The Journal of Pathology, Lahoz et al proposed that copy‐number‐based biomarkers could be employed for patient stratification. The authors studied copy‐number alterations (CNAs) at the genomic scale by measuring the total CNA load (the aberrant genome fraction), and at a smaller scale by identifying common arm‐ or cytoband‐level alterations. Both the overall CNA load and specific chromosomal regions were associated with an increased risk of recurrence. Most interestingly, it was demonstrated that copy‐number intratumor heterogeneity, as defined by subclonal CNAs, is associated with poor disease outcome. This study demonstrates that structural genomic aberrations are promising biomarkers for patient stratification in early colon cancer. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Intravenous lacosamide and phenytoin for the treatment of acute exacerbations of trigeminal neuralgia: A retrospective analysis of 144 cases

Abstract Background Scant evidence is available on the use of intravenous pain treatment in acute exacerbations of trigeminal neuralgia. The aim of this descriptive study was to evaluate the effectiveness and security of intravenous lacosamide and phenytoin in the treatment of acute trigeminal neuralgia pain. Methods We reviewed patients who attended the emergency department of a tertiary hospital between 2012 and 2020 for exacerbations of trigeminal neuralgia pain and were treated with either intravenous phenytoin or lacosamide for the first time. Primary endpoints were pain relief and adverse effects during the hospital stay. A comparative analysis between both treatment groups was performed. Results We studied 144 episodes in 121 patients (median age 61 years, 66.1% women). Trigeminal neuralgia etiology was secondary in 9.9%. Pain relief was observed in 77.8% of 63 patients receiving lacosamide infusions, and adverse effects in 1.6%. Pain relief was observed in 72.8% of 81 phenytoin infusions and adverse effects in 12.3%, all mild. No difference was observed in pain relief between groups, but the proportion of adverse effects was significantly different (p = 0.023). Statistically significant differences were also detected in readmissions within six months, time to readmission, and pain relief status at first follow-up visit. Conclusion Intravenous lacosamide and phenytoin can be effective and safe treatments for acute pain in trigeminal neuralgia. According to our series, lacosamide might be better tolerated than phenytoin and lead to lower readmissions and sustained pain relief.
Speed control of interior permanent magnet synchronous motor drive for the flux weakening operation

A novel flux-weakening scheme for the interior permanent magnet synchronous motor (IPMSM) is proposed. This is implemented based on the output of the synchronous PI current regulator-reference voltage to the PWM inverter. The onset of flux weakening and the flux level are adjusted inherently by the outer voltage regulation loop to prevent saturation of the current regulator. Attractive features of this flux weakening scheme include no dependency on the machine parameters. The guarantee of current regulation at any operating condition, and smooth and fast transition into and out of the flux weakening mode. Experimental results at various operating conditions including the case of detuned parameters are presented to verify the feasibility of the proposed control scheme.
Deep Weakly-Supervised Learning Methods for Classiﬁcation and Localization in Histology Images: A Comparative Study

challenging histology datasets – one for colon cancer ( GlaS ), and a second for breast cancer ( CAMELYON16 ). Overall, the results indicate poor localization performance, particularly for generic methods that were initially designed to process natural images. Methods designed to address the challenges of histology data often use priors such as ROI size, or additional pixel-wise supervision estimated from a pretrained classiﬁer, allowing them to achieve better results. However, all methods suffer from high false positive/negative localization. Classiﬁcation performance is mainly affected by the model selection process, using either the classiﬁcation or localization metric. Finally, four key challenges are identi-ﬁed for the application of deep WSOL methods in histology – under/over activation of CAMs, sensitivity to thresholding, and model selection – and research avenues are provided to mitigate these issues. Our code is publicly available 1 .
Outcome coding choice in randomized trials of programs to reduce violence

Over the last decade, the number of randomized trials of programs to reduce intimate partner violence (IPV) has grown precipitously. However, most trials continue to measure and code violence using standards originally designed for global prevalence surveys. This choice may have consequences in terms of bias, power, and eﬃciency of trial estimates and may limit what we can learn about how programs are working. In this paper, we return to ﬁrst principles to develop a generative model for violence reduction. We then use this model to better understand trade-oﬀs in outcome coding choices via simulation. We re-analyze results from seven recent trials in Southern and Eastern Africa to highlight some of our ﬁndings. We conclude with a discussion of key take-aways for trialists.
Deeper Insights into ViTs Robustness towards Common Corruptions

Recent literature have shown design strategies from Convolutions Neural Networks (CNNs) beneﬁt Vision Transformers (ViTs) in various vision tasks. However, it remains unclear how these design choices impact on robustness when transferred to ViTs. In this paper, we make the ﬁrst attempt to investigate how CNN-like architectural designs and CNN-based data augmentation strategies impact on ViTs’ robustness towards common corruptions through an extensive and rigorous benchmarking. We demonstrate that overlapping patch embedding and convolutional Feed-Forward Network (FFN) boost performance on robustness. Furthermore, adversarial noise training is powerful on ViTs while fourier-domain augmentation fails. Moreover, we introduce a novel conditional method enabling input-varied augmentations from two angles: (1) Generating dynamic augmentation parameters conditioned on input images. It conduces to state-of-the-art performance on robustness through conditional convolutions; (2) Selecting most suitable augmentation strategy by an extra predictor helps to achieve the best trade-off between clean accuracy and robustness.
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes

MOTIVATION Digital pathological analysis is run as the main examination used for cancer diagnosis. Recently, deep learning-driven feature extraction from pathology images is able to detect genetic variations and tumor environment, but few studies focus on differential gene expression in tumor cells. RESULTS In this paper, we propose a self-supervised contrastive learning framework, HistCode, to infer differential gene expression from whole slide images (WSIs). We leveraged contrastive learning on large-scale unannotated WSIs to derive slide-level histopathological features in latent space, and then transfer it to tumor diagnosis and prediction of differentially expressed cancer driver genes. Our experiments showed that our method outperformed other state-of-the-art models in tumor diagnosis tasks, and also effectively predicted differential gene expression. Interestingly, we found the genes with higher fold change can be more precisely predicted. To intuitively illustrate the ability to extract informative features from pathological images, we spatially visualized the WSIs colored by the attention scores of image tiles. We found that the tumor and necrosis areas were highly consistent with the annotations of experienced pathologists. Moreover, the spatial heatmap generated by lymphocyte-specific gene expression patterns was also consistent with the manually labeled WSIs.
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction

Temporal knowledge prediction is a crucial task for early event warning, which has gained increasing attention recently. It aims to predict future facts based on relevant historical facts using temporal knowledge graphs. There are two main difficulties associated with the prediction task: from the perspective of historical facts, modeling the evolutionary patterns of facts to accurately predict the query and from the query perspective, handling the two cases where the query contains seen and unseen entities in a unified framework. Driven by these two problems, we propose a novel adaptive pseudo-Siamese policy network for temporal knowledge prediction based on reinforcement learning. Specifically, we design the policy network in our model as a pseudo-Siamese network consisting of two sub-policy networks. In the sub-policy network I, the agent searches for the answer to the query along the entity-relation paths to capture static evolutionary patterns. In sub-policy network II, the agent searches for the answer to the query along relation-time paths to deal with unseen entities. Moreover, we develop a temporal relation encoder to capture the temporal evolutionary patterns. Finally, we design a gating mechanism to adaptively integrate the results of the two sub-policy networks to help the agent focus on the destination answer. To assess the performance of our model, we conduct link prediction on four benchmark datasets, and extensive experimental results demonstrate that our method achieves considerable performance compared with existing methods.
GeV Gamma-Ray Emission and Molecular Clouds toward Supernova Remnant G35.6–0.4 and the TeV Source HESS J1858+020

It is difficult to distinguish the hadronic process from the leptonic one in γ-ray observation, which is however crucial in revealing the origin of cosmic rays. As an endeavor in this regard, we focus in this work on the complex γ-ray emitting region, which partially overlaps with the unidentified TeV source HESS J1858+020 and includes supernova remnant (SNR) G35.6−0.4 and H ii region G35.6−0.5. We reanalyze CO line, H i, and Fermi-LAT GeV γ-ray emission data of this region. The analysis of the molecular and H i data suggests that SNR G35.6−0.4 and H ii region G35.6−0.5 are located at different distances. The analysis of the GeV γ-rays shows that GeV emission arises from two point sources: one (SrcA) coincident with the SNR, and the other (SrcB) coincident with both HESS J1858+020 and H ii region G35.6−0.5. The GeV emission of SrcA can be explained by the hadronic process in the SNR–molecular cloud association scenario. The GeV-band spectrum of SrcB and the TeV-band spectrum of HESS J1858+020 can be smoothly connected by a power-law function, with an index of ∼2.2. The connected spectrum is well explained with a hadronic emission, with the cutoff energy of protons above 1 PeV. It thus indicates that there is a potential PeVatron in the H ii region and should be further verified with ultrahigh-energy observations with, e.g., LHAASO.