Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunohistochemical expression of HIK1083 and MUC6 in endometrial carcinomas

Gastric‐type endocervical adenocarcinoma (EA) is characterised by aggressive behaviour and pathogenesis independent of human papillomavirus infection. Because of its morphology and frequent mutation‐pattern expression of p53, gastric‐type EA may be confused with several types of endometrial carcinoma, particularly in biopsy and curettage specimens. HIK1083 and MUC6 are immunohistochemical markers used to support a diagnosis of gastric‐type EA; however, the rates of expression of these markers in endometrial tumours are largely unknown. We therefore aimed to assess the expression of HIK1083 and MUC6 in a cohort of different types of endometrial carcinoma.
Transferrable Prototypical Networks for Unsupervised Domain Adaptation

In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a remold of the distances to the prototype of each class. Specifically, we present Transferrable Prototypical Networks (TPN) for adaptation such that the prototypes for each class in source and target domains are close in the embedding space and the score distributions predicted by prototypes separately on source and target data are similar. Technically, TPN initially matches each target example to the nearest prototype in the source domain and assigns an example a ``pseudo" label. The prototype of each class could then be computed on source-only, target-only and source-target data, respectively. The optimization of TPN is end-to-end trained by jointly minimizing the distance across the prototypes on three types of data and KL-divergence of score distributions output by each pair of the prototypes. Extensive experiments are conducted on the transfers across MNIST, USPS and SVHN datasets, and superior results are reported when comparing to state-of-the-art approaches. More remarkably, we obtain an accuracy of 80.4% of single model on VisDA 2017 dataset.
Search for New Aggregable Fragments of Human Insulin

In this study, three independent methods were used to identify short fragment of both chains of human insulin which are prone for aggregation. In addition, circular dichroism (CD) research was conducted to understand the progress of aggregation over time. The insulin fragments (deca- and pepta-peptides) were obtained by solid-phase synthesis using 4-(4,6-dimethoxy-1,3,5-triazin-2-yl)-4-methylmorpholinium toluene-4-sulfonate (DMT/NMM/TosO-) as a coupling reagent. Systematic studies allowed identification of the new fragments, expected to be engaged in triggering aggregation of the entire structure of human insulin under physiological conditions. It was found that the aggregation process occurs through various structural conformers and may favor the formation of a fibrous structure of aggregate.
Evaluation of the Incorporation of Recurrence Score into the American Joint Committee on Cancer Eighth Edition Staging System in Patients with T1-2N0M0, Estrogen Receptor-Positive, Human Epidermal Growth Receptor 2-Negative Invasive Breast Cancer: A Population-Based Analysis.

BACKGROUND The current study aimed to evaluate the predictive performance of the American Joint Committee on Cancer eighth edition staging system in patients with invasive breast cancer based on the Surveillance, Epidemiology, and End Results database. SUBJECTS, MATERIALS, AND METHODS Patients diagnosed with T1-2N0M0, estrogen receptor-positive, human epidermal growth factor receptor 2-negative breast cancer from 2010 to 2014 were retrospectively recruited in this analysis. Patients were reassigned to different stages according to the anatomic staging system (AS), prognostic staging system (PS), and prognostic and genomic staging criteria downstaging patients with recurrence score (RS) lower than 11 (PGS_RS11). Cox models were conducted for multivariate analyses, and likelihood ratio (LR) χ2, Akaike information criterion (AIC), and Harrell's concordance index (C-index) were calculated for the comparison of different staging systems. Additionally, adjustments were made to generate prognostic and genomic staging criteria downstaging patients with RS lower than 18 (PGS_RS18) and RS lower than 25 (PGS_RS25). RESULTS PGS_RS11 was an independent predictor for breast cancer-specific survival, as were PS and AS. Adjusted for age and ethnicity, PGS_RS11 (AIC = 2,322.763, C-index = 0.7482, LR χ2 = 113.17) showed superiority in predicting survival outcomes and discriminating patients compared with AS (AIC = 2,369.132, C-index = 0.6986, LR χ2 = 60.80) but didn't outperform PS (AIC = 2,320.992, C-index = 0.7487, LR χ2 = 114.94). The predictive and discriminative ability of PGS_RS18 was the best (AIC = 2297.434, C-index = 0.7828, LR χ2 = 138.50) when compared with PS and PGS_RS11. CONCLUSION PGS_RS11 was superior to AS but comparable with PS in predicting prognosis. Further validations and refinements are needed for the better incorporation of RS into staging systems. IMPLICATIONS FOR PRACTICE Staging systems are of critical importance in informing prognosis and guiding treatment. This study's objective was to evaluate the newly proposed staging system in the American Joint Committee on Cancer eighth edition staging manual, which combined biological and genomic information with the traditional TNM classification for the first time to determine tumor stages of breast cancer. The superiority of the prognostic and genomic staging system was validated in our cohort and possibly could encourage the utility of genomic assays in clinical practice for staging assessment and prognosis prediction.
Seroprevalence and risk factors associated with Toxoplasma gondii infection among pregnant women in Ile Ife, Southwestern Nigeria

This study investigated the seroprevalence of anti-Toxoplasma IgG and IgM antibodies as well as associated risk factors among pregnant women attending ante-natal care clinics in Ile Ife, Southwestern, Nigeria. A cross sectional hospital study was carried out in three major health care facilities within the study area between June and October, 2019. Three hundred and twenty pregnant women aged between 14-50 years were enrolled during the study period and their blood samples were screened for IgG and IgM antibodies against T. gondii using ELISA test. Structured questionnaires were also used to obtain participants’ socio-demographic data and some risk factors associated with the infection. Among the 320 pregnant women studied, overall seroprevalence of T. gondii was 34.68%, whereas 23.75% of the pregnant women were seropositive to IgG, 10.94% showed seropositivity to IgM antibodies. The analysis of the study also revealed that the seropositivity of T. gondii increased as the age of the pregnant women increased and decreases with increase in level of educational attainment. Significant associations were recorded among seropositivity of T. gondii infection and marital status, cat ownership, habit of tasting raw/undercooked meat and presence of rodents/cockroaches in the household (P˂ 0.05). The findings of this study show that the seropositivity to anti-toxoplasma antibodies is high in the study area. Therefore, there is a need to educate pregnant women about the risk factors that can lead to toxoplasma infection in order to reduce congenital toxoplasma cases among their offspring and newborns. It is also very important to include testing for toxoplasma antibodies as part of the ante-natal investigation that will be carried out on pregnant women.
Re-traumatization Cycle: Sexual Abuse, Post-Traumatic Stress Disorder and Sexual Risk Behaviors among Club Drug Users

Abstract Background: Club drug users are high risk and vulnerable population for adverse drug-related consequences and sexual risk behaviors. Few investigations have addressed the possible interrelationship between early trauma and PTSD among young club drug using populations. Objective: Exposure to traumatic experiences – especially in childhood, has been linked to risk behaviors exposure and substance use disorder. This study aimed to assess and compare drug use patterns and the presence of childhood sexual abuse (CSA) experiences among ecstasy and LSD users with and without Posttraumatic Stress Disorder (PTSD). Method: This cross-sectional study employed targeted sampling and ethnographic mapping approaches via face-to-face interviews conducted at bars and electronic music festivals. The Global Appraisal of Individual Needs questionnaire was used as the primary assessment instrument. Participants were from 18 to 39 years of age, had used ecstasy and/or LSD in the 90 days prior to the interview, and were not in treatment for alcohol and other drug problems. Results: Out of the 240 participants, 123 (51.2%) presented PTSD symptoms. Those presenting PTSD were younger, less educated, with lower income, and presented higher drug use severity than those without PTSD symptoms. Moreover, a higher prevalence of sexual risk behavior was verified among those with PTSD. There was an association between PTSD symptoms and CSA history, where 64.2% of individuals with PTSD also presented CSA, compared to 47% among those without PTSD (p = .028). Individuals with co-occurring history of CSA and PTSD symptoms reported earlier use of ecstasy, LSD, and cocaine compared to individuals with a history of CSA but without PTSD. Conclusions: In the present study, participants with a history of PTSD demonstrate a history of CSA, as well as pronounced severity in several areas – precocity of use, severity of addiction, and greater exposure to situations of sexual risk. Thus, a cycle of traumatization may be established through early potential trauma, which can remain unprocessed and contribute to earlier and more severe substance use and sexual risk behaviors. Identification of PTSD symptoms and risk for HIV and other STIs among young club drug users is critical to address focused treatment approaches for this vulnerable population.
Cyclic Ketones as Future Fuels: Reactivity with OH Radicals.

For a sustainable energy future, research directions should orient toward exploring new fuels suitable for future advanced combustion engines to achieve better engine efficiency and significantly less harmful emissions. Cyclic ketones, among bio-derived fuels, are of significant interest to the combustion community for several reasons. As they possess high resistance to autoignition characteristics, they can potentially be attractive for fuel blending applications to increase engine efficiency and also to mitigate harmful emissions. Despite their importance, very few studies are rendered in understanding of the chemical kinetic behavior of cyclic ketones under engine-relevant conditions. In this work, we have conducted an experimental investigation for the reaction kinetics of OH radicals with cyclopentanone and cyclohexanone for the first time over a wide range of experimental conditions ( T = 900-1330 K and p ≈ 1.2 bar) in a shock tube. Reaction kinetics was followed by monitoring UV laser absorption of OH radicals near 306.7 nm. Our measured rate coefficients, with an overall uncertainty (2σ) of ±20%, can be expressed in Arrhenius form as (in units of cm3 molecule-1 s-1): k1(CPO+OH)=1.20×10-10exp(-2115KT) (902-1297 K); k2(CHO+OH)=2.11×10-10exp(-2268KT) (935-1331 K). Combining our measured data with the single low-temperature literature data, the following three-parameter Arrhenius expressions (in units of cm3 molecule-1 s-1) are obtained over a wider temperature range: k1(CPO + OH) = 1.07×10-13(T300K)3.20exp(1005.7KT) (298-1297 K); k2(CHO+OH)=3.12×10-13(T300K)2.78exp(897.5KT) (298-1331 K). Discrepancies between the theoretical and current experimental results are observed. Earlier theoretical works are found to overpredict our measured rate coefficients. Interestingly, these cyclic ketones exhibit similar reactivity behavior to that of their linear ketone counterparts over the experimental conditions of this work.
Investigating the Factors affecting the Self-care Behaviors Status of Patients with Type II diabetes and the Role of Demographic Variables: A Case Study in Iran

Background: Self-care practices in diabetes patients are crucial to keep the illness under control and prevent complications. Effective management of diabetes will be a difficult task without an adequate understanding of the current level of practice related to diabetes self-care. Therefore, this study aims to assess the factors affecting the self-care behaviors status of patients with Type II diabetes and the role of demographic variables in Iran. Methods: The present study is a descriptive-analytical study that was designed and conducted in 2020. This study's statistical population was type II diabetic patients at the Diabetes Research Center of Ayatollah Taleghani Hospital in Kermanshah who were selected by available sampling method of 280 samples. Data collection tools included demographic characteristics questionnaire and standard self-care questionnaire for the Glasgow and Tobert diabetic patients. Data were analyzed using SPSS-23 software, independent t-tests, one-way analysis of variance, and stepwise regression. Results: The mean of self-care scores was 2.07±2.08 and indicated an unfavorable condition. The highest mean scores of self-care were in the field of regular use of medications, and the lowest scores were in the field of blood-glucose testing. The mean scores of self-care were significantly different based on marital status, occupation status, residence, type of treatment, duration of diabetes, years, smoking status (P<0.05). Regression results showed that the variables predictors; type of treatment, smoking status, the complication of diabetes, education level status, place of residence explained 515% of the variance of self-care.Conclusion: The study showed that the extent to which individuals adhere to Type II diabetes recommended management is substantially low. Improving awareness of patients and the community at large is imperative, especially on the diet, exercise, blood-glucose testing, foot care, and no smoking.
Identity statuses in prebariatric patients with obesity: Associations with eating disorder symptoms, psychological complaints, and coping behaviour?

OBJECTIVE In the present study, we focused on the associations between identity processes/statuses and eating and general psychopathology and coping in prebariatric patients suffering from morbid obesity. METHOD Our sample consisted of 369 prebariatric patients (68.8% female) who filled out self-report questionnaires to assess identity processes, eating and general psychopathology, and coping. RESULTS Concerning identity processes, ruminative exploration was positively related to eating-related and general psychopathology and maladaptive coping, whereas commitment processes were protective against psychopathology and maladaptive coping. Based on cluster analyses, we identified five identity statuses, being achievement, foreclosure, moratorium, diffusion, and an undifferentiated status, showing some heterogeneity within the prebariatric patient group. Patients in the diffused and moratorium statuses reported more eating and general psychopathology and more maladaptive coping compared with prebariatric patients of the other statuses. CONCLUSIONS Given the clinical vulnerability to psychopathology of patients in the moratorium and diffused statuses, it would be advisable to increase the psychological help in their prebariatric and postbariatric trajectories.
Is Quantum Mechanics Self-Interpreting?

Fuchs and Peres (2000) claimed that standard Quantum Mechanics needs no interpretation. In this essay, I show the flaws of the arguments presented in support to this thesis. Specifically, it will be claimed that the authors conflate QM with Quantum Bayesianism (QBism) - the most prominent subjective formulation of quantum theory; thus, they endorse a specific interpretation of the quantum formalism. Secondly, I will explain the main reasons for which QBism should not be considered a physical theory, being it concerned exclusively with agents’ beliefs and silent about the physics of the quantum regime. Consequently, the solutions to the quantum puzzles provided by this approach cannot be satisfactory from a physical perspective. In the third place, I evaluate Fuchs and Peres arguments contra the non-standard interpretations of QM, showing again the fragility of their claims. Finally, it will be stressed the importance of the interpretational work in the context of quantum theory.
Graded Incorporation of Defatted Yellow Mealworm (Tenebrio molitor) in Rainbow Trout (Oncorhynchus mykiss) Diet Improves Growth Performance and Nutrient Retention

Simple Summary Efforts to find sustainable ingredients for aquaculture feeds have been increasing. Insect meal is a promising and emerging ingredient because insects are part of the natural diet of fish and have a low ecological footprint. Here, we studied the effect of a gradual replacement of fishmeal with insect meal from yellow mealworm on juvenile rainbow trout performance. Overall, fish grew faster with the incorporation of the insect meal in the feed, and their capacity to convert feed into fish biomass also increased. The retention of ingested key nutrients also increased with the incorporation of insect meal in the feed. In summary, juvenile trout fed an insect-based diet grew faster and required lower feed intake to grow than juvenile trout fed on a common diet with standard levels of fishmeal. These results support the transition of fishmeal to insect meal in aquafeeds, which will improve the sustainability of the aquaculture industry. Abstract Insects are emerging as a sustainable alternative to fishmeal and fish oil in aquafeeds. This study assessed the effect of graded incorporation levels of defatted yellow mealworm (Tenebrio molitor) protein meal on juvenile rainbow trout (Oncorhynchus mykiss) growth performance, body composition, and apparent nutrient digestibility. The trial comprised five dietary treatments: control diet with 25% fishmeal, and four experimental diets with yellow mealworm protein meal at 5%, 7.5%, 15%, or 25%, which corresponded to a fishmeal replacement of 20%, 30%, 60%, or 100%, respectively. After 90 days, the graded incorporation of insect protein meal led to a significant stepwise increase in final body weight, and a significant improvement of specific growth rate, feed conversion ratio, and protein efficiency ratio compared to the control treatment. Regardless of the incorporation level, the insect protein meal had no effects on fish whole-body composition and apparent digestibility coefficients of dry matter, protein, fat, phosphorus, and energy. Protein, phosphorus, and energy retention significantly increased in fish fed the diets with an insect protein meal. In conclusion, the yellow mealworm protein meal could effectively replace 100% of fishmeal in the diet of juvenile rainbow trout with positive effects on its overall zootechnical performance.
RepPoints: Point Set Representation for Object Detection

Modern object detectors rely heavily on rectangular bounding boxes, such as anchors, proposals and the final predictions, to represent objects at various recognition stages. The bounding box is convenient to use but provides only a coarse localization of objects and leads to a correspondingly coarse extraction of object features. In this paper, we present \textbf{RepPoints} (representative points), a new finer representation of objects as a set of sample points useful for both localization and recognition. Given ground truth localization and recognition targets for training, RepPoints learn to automatically arrange themselves in a manner that bounds the spatial extent of an object and indicates semantically significant local areas. They furthermore do not require the use of anchors to sample a space of bounding boxes. We show that an anchor-free object detector based on RepPoints can be as effective as the state-of-the-art anchor-based detection methods, with 46.5 AP and 67.4 $AP_{50}$ on the COCO test-dev detection benchmark, using ResNet-101 model. Code is available at \href{https://github.com/microsoft/RepPoints}{\color{cyan}{https://github.com/microsoft/RepPoints}}.
Shear Flow‐Interchange Instability in Nightside Magnetotail as Proposed Cause of Auroral Beads as a Signature of Substorm Onset

A geometric wedge model of the near‐Earth nightside plasma sheet is used to derive a wave equation for low‐frequency shear flow‐interchange waves which transmit E→×B→ sheared zonal flows along magnetic flux tubes toward the ionosphere. Discrepancies with the wave equation result used in Kalmoni et al. (2015, https://doi.org/10.1002/2015JA021470) for shear flow‐ballooning instability are discussed. The shear flow‐interchange instability appears to be responsible for substorm onset. The wedge wave equation is used to compute rough expressions for dispersion relations and local growth rates in the midnight region of the nightside magnetotail where the instability develops, forming the auroral beads characteristic of geomagnetic substorm onset. Stability analysis for the shear flow‐interchange modes demonstrates that nonlinear analysis is necessary for quantitatively accurate results and determines the spatial scale on which the instability varies.
Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation

Automated phenotyping and interpretation of rapid whole-genome sequencing improve time to diagnosis of genetic diseases in hospitalized children. A streamlined genetic diagnosis pipeline When treating seriously ill children, time is of the essence. Clark et al. built an automated pipeline to analyze EHR data and genome sequencing data from dried blood spots to deliver a potential diagnosis for hospitalized, often critically ill, children with suspected genetic diseases. Their pipeline required minimal user intervention, increasing usability and shortening time to diagnosis, delivering a provisional finding in a median time of less than 24 hours. Although this pipeline would need to be adapted for use at different hospital systems, such an automated tool could aid clinicians to expedite an accurate genetic disease diagnosis, potentially hastening lifesaving changes to patient care. By informing timely targeted treatments, rapid whole-genome sequencing can improve the outcomes of seriously ill children with genetic diseases, particularly infants in neonatal and pediatric intensive care units (ICUs). The need for highly qualified professionals to decipher results, however, precludes widespread implementation. We describe a platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation. Genome sequencing was expedited by bead-based genome library preparation directly from blood samples and sequencing of paired 100-nt reads in 15.5 hours. Clinical natural language processing (CNLP) automatically extracted children’s deep phenomes from electronic health records with 80% precision and 93% recall. In 101 children with 105 genetic diseases, a mean of 4.3 CNLP-extracted phenotypic features matched the expected phenotypic features of those diseases, compared with a match of 0.9 phenotypic features used in manual interpretation. We automated provisional diagnosis by combining the ranking of the similarity of a patient’s CNLP phenome with respect to the expected phenotypic features of all genetic diseases, together with the ranking of the pathogenicity of all of the patient’s genomic variants. Automated, retrospective diagnoses concurred well with expert manual interpretation (97% recall and 99% precision in 95 children with 97 genetic diseases). Prospectively, our platform correctly diagnosed three of seven seriously ill ICU infants (100% precision and recall) with a mean time saving of 22:19 hours. In each case, the diagnosis affected treatment. Genome sequencing with automated phenotyping and interpretation in a median of 20:10 hours may increase adoption in ICUs and, thereby, timely implementation of precise treatments.