Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Nomogram Based on the Metastatic Number and Sites and Therapy Strategies Predicting the Prognosis of Patients with Metastatic Cervical Cancer

Background Individual survival prediction is of vital importance to optimize the individualized treatment of metastatic cervical cancer (mCC) patients. The goal of this study was to identify the potential risk factors for the survival of mCC patients and construct a nomogram for their prognosis. Methods Medical records of patients with newly diagnosed mCC at the First Affiliated Hospital of Xi’an Jiaotong University were reviewed retrospectively. Risk factors were identified using Cox proportional hazards analysis and Kaplan–Meier curves. Random forest was used to identify factors associated with therapy strategy. Nomogram and dynamic nomogram were established using ‘rms’ and “DynNom” R package. Results A total of 98 patients with mCC were finally identified. In Cox analyses, multiple metastases and concurrent chemoradiotherapy (CCRT) were identified as independent predictors for overall survival (OS). We further explored the prognostic value of metastatic number and sites and therapy strategies for mCC patients by Kaplan–Meier curves. A dynamic nomogram including metastases number and sites (multiple metastases, liver and lymph node (LN) above diaphragm metastases) and chemoradiotherapy strategies (CCRT, postradiotherapy chemotherapy, and radiotherapy to metastatic sites) was constructed for predicting the prognosis of mCC patients. For newly diagnosed patients, we strongly recommended the combination of chemotherapy and definitive pelvic radiotherapy and, if possible, radiation to metastatic site, but CCRT should be implemented with caution. We constructed a dynamic nomogram indicating that patients with younger age, shorter symptom duration, and better laboratory test results are suitable for CCRT. Conclusion Survival analyses showed that the metastatic number and sites and therapy strategies are associated with the prognosis of mCC patients. The CCRT and prognostic nomograms may help clinicians to make better clinical decisions and effectively predict the prognosis for newly diagnosed mCC patients.
Evaluation of anti-Mullerian hormone, antral follicle count and progesterone concentration during estrous cycle in Murrah buffaloes

An experiment was conducted to study the anti-Mullerian hormone (AMH) concentration, antral follicle count (AFC) and progesterone (P4) concentration during estrous cycle in Murrah buffaloes. Seven animals of 5â€“10 years were selected for the study. All the animals were synchronized as per the ovsync protocol and the pair of ovary of each animal was scanned by ultrasonography on 0, 3rd, 7th, 11th, 14th, 17th and 21st day of estrous cycle. Blood was collected on the same day to evaluate serum AMH and P4 concentration. The nonsignificant difference was observed in antral follicle count of 3â€“5 mm, 5â€“8 mm and total follicles count (> 3 mm), whereas, significantly lower mean values of >8 mm of antral follicles were recorded on the day of estrus (0.14 Â±0.14) as compared to 3rd, 7th, 11th, 14th, 17th and 21st day of estrous cycle. The significant individual variation was recorded in average mean of 3 - 5 mm and total antral follicle count (>3 mm). However, the difference for 5 - 8 mm and >8 mm was nonsignificant. The positive correlation of low and high antral follicle count was observed in the present study. Two animals of low antral follicle count remained non pregnant and two animals showed 3 follicular waves during estrous cycle. The nonsignificant difference was recorded in AMH concentration during estrous cycle, whereas, individual variation in AMH concentration differ significantly. The progesterone concentration showed significant increase and decrease in values according to the stages of estrous cycle.
M-estimation, convexity and quantiles

The paper develops a class of extensions of the univariate quantile function to the multivariate case (M-quantiles), related in a certain way to M-parameters of a probability distribution and their M-estimators. The spatial (geometric) quantiles, recently introduced by Koltchinskii and Dudley and by Chaudhuri as Well as the regression quantiles of Koenker and Basset, are the examples of the M-quantile function discussed in the paper. We study the main properties of M-quantiles and develop the asymptotic theory of empirical M-quantiles. We use M-quantiles to extend L-parameters and L-estimators to the multivariate case; to introduce a bootstrap test for spherical symmetry of a multivariate distribution, and to extend the notion of regression quantiles to multiresponse linear regression models.
Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence–Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis

Background There has been a surge in mental health concerns during the COVID-19 pandemic, which has prompted the increased use of digital platforms. However, there is little known about the mental health needs and behaviors of the global population during the pandemic. This study aims to fill this knowledge gap through the analysis of real-world data collected from users of a digital mental health app (Wysa) regarding their engagement patterns and behaviors, as shown by their usage of the service. Objective This study aims to (1) examine the relationship between mental health distress, digital health uptake, and COVID-19 case numbers; (2) evaluate engagement patterns with the app during the study period; and (3) examine the efficacy of the app in improving mental health outcomes for its users during the pandemic. Methods This study used a retrospective observational design. During the COVID-19 pandemic, the app’s installations and emotional utterances were measured from March 2020 to October 2021 for the United Kingdom, the United States of America, and India and were mapped against COVID-19 case numbers and their peaks. The engagement of the users from this period (N=4541) with the Wysa app was compared to that of equivalent samples of users from a pre–COVID-19 period (1000 iterations). The efficacy was assessed for users who completed pre-post assessments for symptoms of depression (n=2061) and anxiety (n=1995) on the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) test measures, respectively. Results Our findings demonstrate a significant positive correlation between the increase in the number of installs of the Wysa mental health app and the peaks of COVID-19 case numbers in the United Kingdom (P=.02) and India (P<.001). Findings indicate that users (N=4541) during the COVID period had a significantly higher engagement than the samples from the pre-COVID period, with a medium to large effect size for 80% of these 1000 iterative samples, as observed on the Mann-Whitney test. The PHQ-9 and GAD-7 pre-post assessments indicated statistically significant improvement with a medium effect size (PHQ-9: P=.57; GAD-7: P=.56). Conclusions This study demonstrates that emotional distress increased substantially during the pandemic, prompting the increased uptake of an artificial intelligence–led mental health app (Wysa), and also offers evidence that the Wysa app could support its users and its usage could result in a significant reduction in symptoms of anxiety and depression. This study also highlights the importance of contextualizing interventions and suggests that digital health interventions can provide large populations with scalable and evidence-based support for mental health care.
Stability of thermal convection in two superimposed miscible viscous fluids

The stability of two-layer thermal convection in high-Prandtl-number fluids is investigated using laboratory experiments and marginal stability analysis. The two fluids have different densities and viscosities but there is no surface tension and chemical diffusion at the interface is so slow that it is negligible. The density stratification is stable. A wide range of viscosity and layer depth ratios is studied. The onset of convection can be either stationary or oscillatory depending on the buoyancy number B, the ratio of the stabilizing chemical density anomaly to the destabilizing thermal density anomaly: when B is lower than a critical value (a function of the viscosity and layer depth ratios), the oscillatory regime develops, with a deformed interface and convective patterns oscillating over the whole tank depth; when B is larger than this critical value, the stratified regime develops, with a flat interface and layers convecting separately. Experiments agree well with the marginal stability results. At low Rayleigh number, characteristic time and length scales are well-predicted by the linear theory. At higher Rayleigh number, the linear theory still determines which convective regime will start first, using local values of the Rayleigh and buoyancy numbers, and which regime will persist, using global values of these parameters.
Two-layer Hall effect model for intermediate band Ti-implanted silicon

Si samples have been implanted with very high Ti doses (over the theoretical Mott limit) to obtain an intermediate band (IB) in the host semiconductor. The electronic transport properties of this material have been analyzed by temperature-dependent sheet resistance and Hall effect measurements in the 7–400 K range. The experimental results are successfully explained by means of an analytical two-layer model, in which the implanted layer and the substrate behave as an IB/n-Si type junction. We deduce that the IB is located at 0.38 eV below the conduction band, which is around one third of the Si bandgap, i.e., theoretically close to the optimum location for an IB. Finally, we obtain that carriers at the IB behave as holes with a mobility of 0.4–0.6 cm2 V−1 s−1. This extremely low mobility is the one expected for a semifilled, metallic band, being this metallic condition of the IB a requirement for IB solar cells.
Bacterial DNAemia in Alzheimer’s Disease and Mild Cognitive Impairment: Association with Cognitive Decline, Plasma BDNF Levels, and Inflammatory Response

Microbial dysbiosis (MD) provokes gut barrier alterations and bacterial translocation in the bloodstream. The increased blood bacterial DNA (BB-DNA) may promote peripheral- and neuro-inflammation, contributing to cognitive impairment. MD also influences brain-derived neurotrophic factor (BDNF) production, whose alterations contribute to the etiopathogenesis of Alzheimer’s disease (AD). The purpose of this study is to measure BB-DNA in healthy elderly controls (EC), and in patients with mild cognitive impairment (MCI) and AD to explore the effect on plasma BDNF levels (pBDNF), the inflammatory response, and the association with cognitive decline during a two-year follow-up. Baseline BB-DNA and pBDNF were significantly higher in MCI and AD than in EC. BB-DNA was positively correlated with pBDNF in AD, plasma Tumor necrosis factor-alpha (TNF-α), and Interleukin-10 (IL-10) levels in MCI. AD patients with BB-DNA values above the 50th percentile had lower baseline Mini-Mental State Examination (MMSE). After a two-year follow-up, AD patients with the highest BB-DNA tertile had a worse cognitive decline, while higher BB-DNA levels were associated with higher TNF-α and lower IL-10 in MCI. Our study demonstrates that, in early AD, the higher the BB-DNA levels, the higher the pBDNF levels, suggesting a defensive attempt; BB-DNA seems to play a role in the AD severity/progression; in MCI, higher BB-DNA may trigger an increased inflammatory response.
Activated carbon and cellulose-reinforced biodegradable chitosan foams

Chitosan foams with promising mechanical properties, heat-insulating ability, and flame retardancy were produced through oven drying. The chitosan foams were reinforced with cellulose, boric acid, and different ratios of activated carbon. The foams showed desirable low density (80.2 to 109.8 kg/m3) and compression properties. The compression resistance and compression modulus of foams ranged between 53.6 and 98.5 KPa and 214 to 394 KPa, respectively. Thermal conductivity tests revealed that the foams endowed low thermal conductivity values (0.035 to 0.051 W/mK). The limiting oxygen index (LOI) of the foams was as high as 32.9% for activated carbon (20 g/L). The activated carbon reinforcement produced higher thermal properties and decreased the mass loss 48.1% at 600 °C. The produced foams exhibited good biodegradability (39% degradation in 15 days). The overall test results showed that the chitosan foams can be utilized as a promising environmentally friendly material in thermal insulation fields.
Effectiveness of weekly local mothers’ kitchen recipe talks to improve dietary iron intake among tribes of Andhra Pradesh, India: A prospective cohort study

ABSTRACT Introduction: Anemia is a major public health problem in India, especially among tribal women. The study was done to estimate the prevalence of iron intake below the estimated average requirement in the diet and to study the effectiveness of weekly local mothers’ kitchen recipe talks. Methodology: A total of 340 women from scheduled tribes participated in a prospective cohort study over 10 months in 10 clusters in the Guntur district of Andhra Pradesh, India. A questionnaire, a 24-hour dietary recall, and an assessment of hemoglobin were done to gather information at baseline and after three months of weekly local recipe talks in mothers’ kitchens. Results: A total of 340 women were studied. The mean age of the mothers was 23.5 ± 3.6 years. At baseline prevalence, the mean intake of daily iron in diet among mothers was 9.04 ± 3.18 (SD) mg/day. The prevalence of anemia among mothers at the baseline was 63.8%. The mean intake of daily iron in the diet at the end line was significantly higher with a P value of 0.019 among mothers who attended 10 or more weekly local mothers’ kitchen recipe talks and did not take iron folic acid (IFA). Mothers who attended 10 or more weekly local mothers’ kitchen recipe talks without IFA intake have a significant drop in the prevalence of severe anemia. Conclusion: The integration of weekly local mothers’ kitchen recipe talks in the ongoing Integrated Child Development Service Scheme can be a boon for early-aged, less-literate, inexperienced, and financially poor mothers.
Thyrotoxicosis-Induced Cardiogenic Shock: Acute Management Using a Multidisciplinary Approach

The development of heart failure and cardiomyopathy has been identified as an infrequent but life-threatening complication of thyrotoxicosis or thyroid storm. Thyrotoxicosis-induced cardiomyopathy and cardiogenic shock have been shown to be one of the major causes of sudden mortality in adults. However, the treatment of thyrotoxicosis with non-cardioselective beta-blockers has been implicated in the development of severe decompensation and even cardiogenic shock if cardiac function is not known and often requires a multidisciplinary care team to address it. Here, we have reported the case of a 63-year-old male with a past medical history of hyperthyroidism who presented to the emergency room with persistent shortness of breath. Vital signs were notable for hypotension, tachycardia with an irregular heartbeat, with ECG suggestive of atrial fibrillation with a rapid ventricular rate. The thyroid function test was significant for severely suppressed TSH, and the Burch-Wartofsky Score was >45. The patient rapidly decompensated shortly after being given IV metoprolol, subsequently requiring intubation and pressor support. Two-dimensional (2D) echocardiography (or echo) done afterward was significant for four-chamber dilation with mild global hypokinesis and reduced left ventricular ejection fraction. Endocrinology, Cardiology, and Pulmonary Critical Care teams were consulted to assist in multi-modality management. The administration of a non-cardioselective beta-blocker in decompensated heart failure was suggested as the cause of the rapid deterioration. Through a multi-modality management approach, the patient subsequently improved and was eventually discharged with the resolution of thyroid storm and cardiogenic shock, and with close follow-up with the primary care provider, endocrinologist, and cardiologist. This case illustrates the significance of a multidisciplinary team approach in the acute management of thyrotoxicosis-induced cardiogenic shock, as recommendations from the team were instrumental in helping the patient recover from the acute phase of the illness. Also, this case further highlights the significance of assessing the cardiac function, preferably performing echo before starting the patient on beta-blockers.
Parallel Exchange of Randomized SubGraphs for Optimization of Network Alignment: PERSONA

The aim of Network Alignment in Protein-Protein Interaction Networks is discovering functionally similar regions between compared organisms. One major compromise for solving a network alignment problem is the trade-off among multiple similarity objectives while applying an alignment strategy. An alignment may lose its biological relevance while favoring certain objectives upon others due to the actual relevance of unfavored objectives. One possible solution for solving this issue may be blending the stronger aspects of various alignment strategies until achieving mature solutions. This study proposes a parallel approach called PERSONA that allows aligners to share their partial solutions continuously while they progress. All these aligners pursue their particular heuristics as part of a particle swarm that searches for multi-objective solutions of the same alignment problem in a reactive actor environment. The actors use the stronger portion of a solution as a subgraph that they receive from leading or other actors and send their own stronger subgraphs back upon evaluation of those partial solutions. Moreover, the individual heuristics of each actor takes randomized parameter values at each cycle of parallel execution so that the problem search space can thoroughly be investigated. The results achieved with PERSONA are remarkably optimized and balanced for both topological and node similarity objectives.
Design of minimum mass structures with specified natural frequencies.

A numerical procedure is developed for proportioning the members of an elastic structure so that one or more of its natural frequencies assume given values and the total structural mass is a minimum. It is assumed that the structure is required to support nonstructural masses and that the vibratory inertia loads due to structural masses must be of appreciable magnitude relative to those generated by nonstructural masses. The principal development is based on a finite element idealization and matrix formulation in which the inertia and stiffness matrices of each structural element are proportional to the mass of the element. Lagrange multipliers are employed to introduce the free vibration equations as constraint conditions.
Total bond energies of exact classical solutions of molecules generated byMILLSIAN 1.0compared to those computed using modern 3–21Gand 6–31G*basis sets

Mills [1-12] solved the structure of the bound electron using classical laws and subsequently developed a unification theory based on those laws called the Grand Unified Theory of Classical Physics (GUTCP) with results that match observations for the basic phenomena of physics and chemistry from the scale of the quarks to cosmos. Millsian 1.0 is a program comprising molecular modeling applications of GUTCP, solving atomic and molecular structures based on applying the classical laws of physics, (Newton’s and Maxwell’s Laws) to the atomic scale. The functional groups of all major classes of chemical bonding including those involved in most organic molecules have been solved exactly in closed-form solutions. By using these functional groups as building blocks, or independent units, a potentially infinite number of molecules can be solved. As a result, Millsian software can visualize the exact three-dimensional structure and calculate physical characteristics of almost any molecule of any length and complexity. Even complex proteins and DNA (the molecules that encode genetic information) can be solved in real-time interactively on a personal computer. By contrast, previous software based on traditional quantum methods must resort to approximations and run on powerful computers for even the simplest systems. The energies of exact classical solutions of molecules generated by Millsian 1.0 and those from a modern quantum mechanics-based program, Spartan’s precomputed database using 3-21G and 6-31G* basis sets at the Hartree-Fock level of theory, were compared to experimental values. The Millsian results were consistently within an average relative deviation of about 0.1% of the experimentally values. In contrast, the 3-21G and 6-31G* results deviated over a wide range of relative error, typically being >30-150% with a large percentage of catastrophic failures, depending on functional group type and basis set.
Does Global Value Chain Participation Enhance Export Diversification?

This paper examines the effect of global value chain (GVC) participation on export diversification using a dataset covering 134 countries from 2002 to 2018. Applying the two-step System GMM estimator, we find that GVC participation contributes to the diversification of both export products and export partners. Our empirical results further reveal that this positive effect powerfully works through backward GVC participation, while the impact of forward GVC participation on export product diversification varies among countries with different levels of trade liberalization and policy stability.
METTL3 is aberrantly expressed in endometriosis and suppresses proliferation, invasion, and migration of endometrial stromal cells

Endometriosis (EM) is one of the leading gynecological disorders, and associated with excessive functioning of endometrial stromal cells (ESCs). The current study was conducted to determine the expression and role of methyltransferase‐like 3 (METTL3) in the proliferation, invasion, and migration of ESCs in EM. The documented expression levels of METTL3, microRNA (miR)‐21‐5p, and WNT inhibitory factor 1 (WIF1) in eutopic (Eut) and ectopic (Ect) endometrial tissues and ESCs were determined by a combination of real‐time quantitative polymerase chain reaction and Western blot assay. After transfection with pcDNA3.1‐METTL3, miR‐21‐5p mimic, and WIF1 small interfering RNA, cell counting kit‐8, colony formation, and Transwell assays were performed in the Ect ESCs (Ect‐ESCs). Subsequently, the binding of miR‐21‐5p to METTL3 was analyzed, along with quantification of the N6‐methyladenosine (m6A) level, the enrichments of METTL3 and m6A on WIF1, and the mRNA stability of WIF1. In our findings, METTL3 was downregulated in the EM tissues and cells. METTL3 overexpression intrinsically reduced the proliferation, invasion, and migration of Ect‐ESCs. miR‐21‐5p inhibited the METTL3 expression while METTL3 enhanced the mRNA stability and expression of WIF1 via m6A modification. Additionally, a negative correlation of METTL3 was identified with miR‐21‐5p along with a positive correlation with the WIF1 mRNA in EM tissues. The miR‐21‐5p overexpression or WIF1 downregulation enhanced the proliferation, invasion, and migration of Ect‐ESCs. Collectively, miR‐21‐5p inhibited the METTL3‐mediated m6A modification and mRNA stability of WIF1, thereby facilitating the proliferation, invasion, and migration of Ect‐ESCs.