Miracle-dz/UniFAR-FTUs huggingface dataset:
Origin of nonlinear magnetoelectric response in rare-earth orthoferrite perovskite oxides

We report a theoretical study of the non-linear magnetoelectric response of GdFeO$_3$ through an analytical approach combined with a Heisenberg model which is fitted against first-principles calculations. Our theory reproduces the non-linear change of polarization under applied magnetic field reported experimentally such that it allows to analyze the origin of the large responses in the different directions. We show that the non-linear character of the response in these materials originates from the fact that the antiferromagnetic order of Gd atoms changes non-linearly with respect to the applied magnetic field. Our model can be generalized to other materials in which the antiferromagnetic ordering breaks inversion symmetry.
Establishing α Oph as a Prototype Rotator: Precision Orbit with New Keck, CHARA, and RV Observations

Alpha Ophiuchi (Rasalhague) is a nearby rapidly rotating A5IV star that has been imaged by infrared interferometry. α Oph is also part of a known binary system, with a companion semimajor axis of ∼430 mas and a high eccentricity of 0.92. The binary companion provides the unique opportunity to measure the dynamical mass to compare with the results of rapid rotator evolution models. The lack of data near periastron passage limited the precision of mass measurements in previous work. We add new interferometric data from the MIRC combiner at the CHARA Array as well as new Keck adaptive optics imaging data with NIRC2, including epochs taken near periastron passage. We also obtained new radial velocities of both components at Fairborn Observatory. Our updated combined orbit for the system drastically reduces the errors of the orbital elements and allows for precise measurement of the primary star mass at the few percent level. Our resulting primary star mass of 2.20 ± 0.06 M ⊙ agrees well with predictions from imaging results and matches evolution models with rotation when plotting on a Hertzsprung–Russell diagram. However, to truly distinguish between nonrotating and rotating evolution models for this system, we need ∼1% errors on mass, which might be achieved once the distance is known to higher precision in future Gaia releases. We find that the secondary mass of 0.824 ± 0.023 M ⊙ is slightly underluminous when compared to stellar evolution models. We show that α Oph is a useful reference source for programs that need ±1 mas astrometry.
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data

Cryogenic electron microscopy (cryo-EM) provides images from different copies of the same biomolecule in arbitrary orientations. Here, we present an end-to-end unsupervised approach that learns individual particle orientations from cryo-EM data while reconstructing the average 3D map of the biomolecule, starting from a random initialization. The approach relies on an auto-encoder architecture where the latent space is explicitly interpreted as orientations used by the decoder to form an image according to the linear projection model. We evaluate our method on simulated data and show that it is able to reconstruct 3D particle maps from noisy- and CTF-corrupted 2D projection images of unknown particle orientations.
Investigation of a soil improvement technique for coastal regions on the basis of calcium carbonate precipitation by using the urea hydrolysis rate

In this study, we developed a new method for the evaluation of the urea hydrolysis rate as a measure of soil improvement. The urease-producing bacterium Sporosarcina aquimarina isolated from the sea off the coast of Korea was selected to enhance soil strength. The soil strength of coastal regions was enhanced using a soil improvement technique based on urea hydrolysis by S.aquimarina , with less than two types of laboratory test. The main outcomes are as follows: (1) The urea hydrolysis rate can be used for a short-term evaluations using an electronic conductivity meter. (2) The soil strength determined on the basis of microbial carbonate precipitation depends on the microbial species. (3) Enhancement of soil strength on the basis of microbial functions is highly correlated to the rate at which urea is hydrolyzed by the urease-producing bacterium.
A Thienyl-Substituted Diketopyrrolopyrrole Derivative with Efficient Reactive Oxygen Species Generation for Photodynamic Therapy.

Reducing the energy gap of photosensitizer between singlet and triplet states (ΔEST ) can improve the efficiency of intersystem crossing, further enhancing the resulting generation of reactive oxygen species for photodynamic therapy. In this study, two photosensitizer chromophores-phenyl-substituted diketopyrrolopyrrole and thienyl-substituted diketopyrrolopyrrole (TDPP)-were synthesized. Theoretical calculations indicate that TDPP can greatly reduce the ΔEST (0.48 eV) relative to that of diketopyrrolopyrrole (0.66 eV). Experiments confirmed that TDPP generates reactive oxygen species more efficiently than diketopyrrolopyrrole. After conjugation of TDPP with methoxy poly(ethylene glycol)carboxyl (mPEG-COOH), the resulting TDPP-mPEG has excellent water solubility, biocompatibility and photostability. When it serves as photosensitizer for photodynamic therapy, in vitro and in vivo measurements indicate that TDPP-mPEG can effectively inhibit tumor growth and shows great potential for the treatment of cancer in the clinic.
A Machine Learning-Based Prediction Model for Preterm Birth in Rural India

Preterm birth (PTB) in a pregnant woman is the most serious issue in the field of Gynaecology and Obstetrics, especially in rural India. In recent years, various clinical prediction models for PTB have been developed to improve the accuracy of learning models. However, to the best of the authors' knowledge, most of them suffer from selecting the most accurate features from the medical dataset in linear time. The present paper attempts to design a machine learning model named as risk prediction conceptual model (RPCM) for the prediction of PTB. In this paper, a feature selection approach is proposed based on the notion of entropy. The novel approach is used to find the best maternal features (responsible for PTB) from the obstetrical dataset and aims to predict the classifier's accuracy at the highest level. The paper first deals with the review of PTB cases (which is neglected in many developing countries including India). Next, we collect obstetrical data from the Community Health Centre of rural areas (Kamdara, Jharkhand). The suggested approach is then applied on collected data to identify the excellent maternal features (text-based symptoms) present in pregnant women in order to classify all birth cases into term birth and PTB. The machine learning part of the model is implemented using three different classifiers, namely, decision tree (DT), logistic regression (LR), and support vector machine (SVM) for PTB prediction. The performance of the classifiers is measured in terms of accuracy, specificity, and sensitivity. Finally, the SVM classifier generates an accuracy of 90.9%, which is higher than other learning classifiers used in this study.
Sliding Amyand’s hernia: a case report and review of literature

Abstract First operated by Claudius Amyand in 1735. Amyand’s hernia is a rare presentation and accounts for only 1% of all inguinal hernias. Amyand’s hernia is described when the appendix is trapped within an inguinal hernia. In most cases, Amyand’s hernia is an incidental finding intra-operatively due to variable clinical manifestations, and features. Amyand’s hernia has variable theories explaining its pathophysiology besides having multiple proposed surgical approaches either via laparoscopic or open repair and with the latter being in a debate of pro and against mesh repair. We present a case of a sliding Amyand’s hernia in which the vermiform appendix and part of the cecum were adherents to the wall of a right inguinal hernial sac. Amyand’s hernia is a rare form of inguinal hernias and its presentation is widely variable. However, in most cases, it is non-complicated and is found as an incidental intraoperative finding. Many studies debate among different diagnostic and management approaches to serve a better outcome with fewer operative complications.
Efficacy of a Combination of Metformin and Vildagliptin in Comparison to Metformin Alone in Type 2 Diabetes Mellitus: A Multicentre, Retrospective, Real-World Evidence Study

Background Early use of combination therapy in diabetes patients may lead to sustained glycemic control and thereby reduce the progression of diabetic complications. Given the limitation of the traditional stepwise intensification strategy, early combination therapy can be an effective approach. Therefore, this study aims to assess the real-world efficacy of a combination of metformin and vildagliptin in comparison to metformin alone in type 2 diabetes mellitus (T2DM) patients in India. Methods This was an observational, retrospective, non-interventional study based on electronic medical records (EMRs) of 2740 T2DM patients, retrieved from 2010 onwards from 22 diabetes centres across India. Adult drug naïve patients with a 5-year history of T2DM treated with either metformin or a combination of metformin and vildagliptin for at least 3 months were considered for this study. Efficacy assessment was done to evaluate the post-treatment HbA1c levels and patients requiring additional oral antidiabetic drugs (OADs) at the time of follow-up visit. Patients were also analyzed for the occurrence of adverse events. Results Out of the total, 2452 patients were in metformin only arm, and 288 patients were in metformin plus vildagliptin treatment arm. A more significant reduction in HbA1c level was observed in metformin plus vildagliptin arm than metformin only arm (median: −0.5% vs 0%, respectively; p<0.001). Patients requiring additional OAD at follow-up were significantly lesser in the metformin plus vildagliptin arm than the metformin only arm (15.6% vs 35.2%, respectively; p<0.001). The adverse events were comparable across the two arms, and commonly reported adverse events were giddiness, fatigue and gastric discomfort. Conclusion The findings of this EMR-based real-world study emphasizes the need for early initiation of combination therapy (metformin plus vildagliptin) over metformin monotherapy for achieving better glycemic control.
Breastfeeding Practices and Problems Among Obese Women Compared with Nonobese Women in a Brazilian Hospital

Background: Women who are obese have lower rates of breastfeeding initiation and duration and are less likely to breastfeed exclusively compared with women who are not obese. To develop programs to improve breastfeeding practices among this group of women, we investigated the association between maternal obesity and breastfeeding practices and problems in the first days postpartum. Methods: We analyzed medical records from postpartum women at a rooming-in maternity ward in State of São Paulo, Brazil, between 2016 and 2018. We included those who had intended to exclusively breastfeed, had given birth to a singleton and were admitted to rooming-in. We analyzed exclusive breastfeeding and nonexclusive breastfeeding each day of hospitalization and the presence of breastfeeding problems, comparing women in the obese category (body mass index [BMI] ≥30 kg/m2) to normal and overweight women (≥18.6 to ≤29.9 kg/m2). Results: Two hundred and twenty-four postpartum women participated, including 86 women in the obese category. More than 50% of women with obesity reported a breastfeeding problem in the first and second postpartum days (p = 0.026 and p = 0.017, respectively) compared with the 41% and 38% nonobese group. Children of obese women were 2.8 times more likely to have poor latch during breastfeeding (95% confidence interval [CI]: 1.29–6.10) compared with the nonobese group on the third day. Conclusion: Maternal obesity increased the probability of breastfeeding difficulties and nonexclusive breastfeeding at discharge. Professionals need to support breastfeeding techniques in the days immediate after delivery to improve breastfeeding outcomes for mothers with obesity.
TRIM66 Overexpression Promotes Glioma Progression and Regulates Glucose Uptake Through cMyc/GLUT3 Signaling

Objective Tripartite motif 66 (TRIM66) is reported to be closely associated with human cancers. However, the roles of TRIM66 in glioma remain unclear. The present study aimed to investigate the clinical significance and biological roles of TRIM66 in human glioma. Methods TRIM66 expression in glioma tissues was examined by immunohistochemistry. TRIM66 overexpression and siRNA knockdown were performed in glioblastoma cell lines. CCK8, colony formation assay, transwell assay, Annexin V and JC1 staining, glucose uptake assay, and Western blotting were used to explore the biological roles and potential underlying mechanisms of TRIM66 in glioma progression. Results Our results showed that TRIM66 was overexpressed in 52/95 glioma cases. The rates of TRIM66 overexpression in Grade I, Grade II, Grade III, and Grade IV gliomas were 16.6%, 41.3%, 58.6%, and 70.9%, respectively. Oncomine data showed that TRIM66 was upregulated in glioblastoma and oligodendroglioma compared with normal brain tissues. TRIM66 expression was higher in glioblastoma cell lines compared with normal SVG p12 glial cell line. TRIM66 promoted in vitro and in vivo proliferation, invasion, and inhibited temozolomide (TMZ)-induced apoptosis. Notably, TRIM66 increased glucose metabolism by upregulating glucose uptake, glucose consumption, and ATP production. Western blotting showed that TRIM66 positively regulated cMyc and GLUT3. Depletion of cMyc by siRNA abolished the effect of TRIM66 on GLUT3. Chromatin immunoprecipitation (ChIP) assay showed that cMyc could bind to the promoter regions of GLUT3 in glioblastoma cells. Conclusion TRIM66 was upregulated in human gliomas, where it promoted cell growth and chemoresistance. Our data also identified novel roles of TRIM66 in glioma progression. TRIM66 upregulates glucose uptake and mitochondrial function through the cMyc/GLUT3 signaling, which makes it a potential therapeutic target.
FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers

Accurate screening on cancer biomarkers contributes to health assessment, drug screening, and targeted therapy for precision medicine. The rapid development of high-throughput sequencing technology has identified abundant genomic biomarkers, but most of them are limited to single-cancer analysis. Based on the combination of Fisher score, Recursive feature elimination, and Logistic regression (FRL), this paper proposes an integrative feature selection algorithm named FRL to explore potential cancer genomic biomarkers on cancer subsets. Fisher score is initially used to calculate the weights of genes to rapidly reduce the dimension. Recursive feature elimination and Logistic regression are then jointly employed to extract the optimal subset. Compared to the current differential expression analysis tool GEO2R based on the Limma algorithm, FRL has greater classification precision than Limma. Compared with five traditional feature selection algorithms, FRL exhibits excellent performance on accuracy (ACC) and F1-score and greatly improves computational efficiency. On high-noise datasets such as esophageal cancer, the ACC of FRL is 30% superior to the average ACC achieved with other traditional algorithms. As biomarkers found in multiple studies are more reliable and reproducible, and reveal stronger association on potential clinical value than single analysis, through literature review and spatial analyses of gene functional enrichment and functional pathways, we conduct cluster analysis on 10 diverse cancers with high mortality and form a potential biomarker module comprising 19 genes. All genes in this module can serve as potential biomarkers to provide more information on the overall oncogenesis mechanism for the detection of diverse early cancers and assist in targeted anticancer therapies for further developments in precision medicine.
The Role of the Thalamus in the Neurological Mechanism of Subjective Sleepiness: An fMRI Study

Purpose The thalamus, the region that forms the attentional network and transmits external sensory signals to the entire brain, is important for sleepiness. Herein, we examined the relationship between activity in the thalamus-seed brain network and subjective sleepiness. Materials and Methods Fifteen healthy male participants underwent an experiment comprising a baseline evaluation and two successive interventions, a 9-day sleep extension followed by 1-night total sleep deprivation. Pre- and post-intervention tests included the Karolinska sleepiness scale and neuroimaging for arterial spin labeling and functional connectivity. We examined the association between subjective sleepiness and the functional magnetic resonance imaging indices. Results The functional connectivity between the left or right thalamus and various brain regions displayed a significant negative association with subjective sleepiness, and the functional connectivity between the left and right thalamus displayed a significant positive association with subjective sleepiness. The graph theory analysis indicated that the number of positive functional connectivity related to the thalamus showed a strong negative association with subjective sleepiness, and conversely, the number of negative functional connectivity showed a positive association with subjective sleepiness. Arterial spin labeling analysis indicated that the blood flow in both the left and right thalami was significantly negatively associated with subjective sleepiness. Functional connectivity between the anterior cingulate cortex and salience network areas of the left insular cortex, and that between the anterior and posterior cingulate cortices showed a strong positive and negative association with subjective sleepiness, respectively. Conclusion Subjective sleepiness and the thalamic-cortical network dynamics are strongly related, indicating the application of graph theory to study sleepiness and consciousness. These results also demonstrate that resting functional connectivity largely reflects the “state” of the subject, suggesting that the control of sleep and conscious states is essential when using functional magnetic resonance imaging indices as biomarkers.
High Endothelin Receptor Type A Expression as an Independent Prognostic Biomarker and Correlated with Immune Infiltrates in Stomach Adenocarcinoma

Background Stomach adenocarcinoma (STAD) is the most common gastrointestinal cancer and is associated with high mortality worldwide. Endothelin receptor type A (EDNRA) is associated with guanine-nucleotide-binding (G) proteins and plays important roles in cellular processes and various diseases. Purpose To investigate the prognosis value of EDNRA expression and its correlation with immune infiltrates in patients with STAD. Methods The association between clinical characteristics and EDNRA expression in STAD was analyzed using the Wilcoxon signed-rank test and logistic regression. The Kaplan–Meier plotter analysis and Cox regression were constructed to evaluate the influence of EDNRA on prognosis, and a receiver operating characteristic (ROC) curve and nomogram were constructed. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were conducted to analyze the correlation between EDNRA and immune infiltrates. In addition, Oncomine, TIMER databases and qRT-PCR of STAD cell lines were used to verify the EDNRA expression in STAD. Results Our results revealed that EDNRA expression was significantly higher in patients with STAD than normal gastric tissues, and the results have been confirmed by RT-qPCR. KM-plotter analysis revealed that patients with STAD had shorter OS, FP, and PPS (P<0.001). Multivariate Cox analysis further confirmed that high EDNRA expression was an independent risk factor for OS in patients with STAD. Moreover, other clinicopathologic features were related with worse prognosis in STAD, including age, lymph nodes metastases and primary outcome. More importantly, ROC analysis also confirmed the diagnostic value, and a prognostic nomogram involving age, T, M, N classification, pathologic stage, residual tumor and EDNRA was constructed. GSEA revealed that high EDNRA expression was correlated with immunoregulatory interactions between lymphoid and non lymphoid cells pathways, natural killer cell activation involved in immune response, interleukin 1 receptor binding and pathways in cancer, and ssGSEA showed that EDNRA is correlated with macrophages and NK cells. Conclusion Collectively, EDNRA can be an independent prognostic biomarker and correlated with immune infiltration in stomach adenocarcinoma.
Knowledge and Attitude of Dental Clinicians towards Light-Curing Units: A Cross-Sectional Study

Objectives Light curing is crucial when applying composite resin restorations. Complete polymerization of the resin depends on delivering adequate light energy to it. Dental clinicians may be unaware of the importance of proper light-curing techniques. This study aimed at evaluating and comparing the level of knowledge of general practitioners (GPs) and specialists (SPs) regarding light-curing units. Materials and Methods An electronic survey was conducted online among GPs and SPs of various specialties, working in the governmental sector in Riyadh, Saudi Arabia. Collected data were analyzed for statistical significance. Results 310 dentists were included in the study. Nearly half of the GPs (45.9%) and more than half of SPs (56.8%) use light-emitting diode (LED) type light-curing units (LCUs). 36.9% of GPs and 29.6% of SPs were unsure about the type of LCUs they use in their dental clinics. 10.8% of GPs and 8.5% of SPs knew the proper term of the power output of LCU. 52.2% of the GPs and 55.7% of SPs were wrong about advancements in technology of LED LCUs. Regarding the use of radiometer, 48.2% of SPs and 35.1% of GPs had responded wrongly, and 37.7% of SPs and 52.3% of GPs were not familiar with the device, showing a statistical significance (p=0.040). There was no statistical significance observed in the responses pertaining to their years of experience, expected for two questions. Conclusion Both GPs and SPs displayed inadequate knowledge regarding the use of LCUs. Further educational programs are recommended to spread awareness about the handling of LCUs among dental clinicians.