Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel In Silico and In Vivo Insights of Flavonoids as Anti-Diabetic and Anti-Oxidant in Rodent Models

Insulin sensitivity is a symptom of diabetes, which is caused by insulin resistance, decreasing insulin production and ultimately pancreatic cancer. The current study is focused on the anti-diabetic and anti-oxidant properties of Chrysanthemum indicum flower extract and to scientifically validate the claim by in silico docking studies of natural compounds present in the extract for their respective sites against selected proteins. Pharmacological evaluations were done using 200 and 400 mg/kg body weight of the extract. Upon treatment with methanolic extract of Chrysanthemum indicum at 200 mg/kg body weight, 400 mg/ kg body weight and glibenclamide 0.5 mg/kg body weight, significant reduction in blood glucose levels was observed. The extract was screened against reducing power assay and hydrogen peroxide scavenging assay for its anti-oxidant potential and the results were compared with the standard ascorbic acid. In both assays, the findings clearly demonstrated the extract's ability to scavenge free radicals. Docking studies were performed for natural compounds present in the extract such as epigallactocatechin, quercetin, kaempferol, apigenin, myrcetin, rutin, luteolin and standard drug glibenclamide against protein data bank ID: 1VA5, protein data bank ID: 1Z2C, protein data bank ID: 5WUA using Mcule software. The statistical verification of the model was evaluated with PROCHEK; a structure verification program relies on Ramachandran plot which determines the quality of the predicted structures. The results revealed that epigallactocatechin and rutin had shown highest glide scores which indicates a stronger receptor-ligand binding affinity among the various phytochemical constituents present in the extract and this might be the possible mechanism by which the extract showed antidiabetic and antioxidant activities. From the above, it is concluded that the extract possess anti-diabetic and anti-oxidant activity.
Professional Training and Therapeutic Resources Needed for the Adoption of Telepractice in the Philippines

With the COVID-19 pandemic necessitating the adoption of telepractice for providing speech and language therapy services, this study investigated the factors affecting the perceptions and the implementation of telepractice for school-age children by speech-language pathologists (SLPs) in the Philippines. Sixty-four SLPs completed a 36-item online survey assessing the adoption of telepractice, implementation concerns, student candidacy, continuous training in telepractice, and the SLPs’ demographics. The SLPs reported that they quickly adopted telepractice in their services for school-age students at the start of the pandemic. Multiple linear regression analyses revealed that SLPs’ perceptions of the effectiveness of telepractice were significantly affected by implementation difficulties while SLPs’ future use of telepractice was significantly predicted by training and resource availability. These results suggest that professional training and other therapeutic resources are needed to alleviate SLPs’ concerns about difficulties in implementing and continuing use of telepractice.
Cooperative Control of Hybrid Microgrids: An Economic Dispatch Solution

In this work, we develop improved consensus observers and distributed cooperative controllers for respective AC and DC sub-grids to achieve minimized cost. On this basis, an effective and simple power management strategy is proposed to generate the proper power reference for the bi-directional interlinking converter (BIC), hence, realizing global economic dispatch throughout the hybrid MG. The proposed solution eliminates the voltage deviation, and it is also resilient to communication failure and capable of plug-and-play. To validate the effectiveness of our proposed solution, comprehensive case studies are conducted via a lab-built hardware-in-the-loop (HiL) test bench. The results reveal that the proposed cooperative control approach can drive all DGs to a minimized total cost, meanwhile, eliminates the voltage deviations.
RED SUPERGIANT STARS AS COSMIC ABUNDANCE PROBES. III. NLTE EFFECTS IN J-BAND MAGNESIUM LINES

Non-local thermodynamic equilibrium (NLTE) calculations for Mg i in red supergiant stellar atmospheres are presented to investigate the importance of NLTE for the formation of Mg i lines in the NIR J-band. Recent work using medium resolution spectroscopy of atomic lines in the J-band of individual red supergiant stars has demonstrated this technique is a very promising tool for investigating the chemical composition of the young stellar population in star forming galaxies. As in previous work, where NLTE effects were studied for iron, titanium, and silicon, substantial effects are found resulting in significantly stronger Mg i absorption lines. For the quantitative spectral analysis the NLTE effects lead to magnesium abundances significantly smaller than in local thermodynamic equilibrium with the NLTE abundance corrections varying smoothly between −0.4 dex and −0.1 dex for effective temperatures between 3400 and 4400 K. We discuss the physical reasons of the NLTE effects and the consequences for extragalactic J-band abundance studies using individual red supergiants in the young massive galactic double cluster h and χ Persei.
Temporal and spatial analysis of indicators on segregation of Syrian refugees in Turkey with mobile phone data

Measuring and monitoring immigrant integration is important for evidence based policy making. Mobile data proposes a valuable opportunity for developing fine grained indicators of segregation and integration of sub-populations. Due to privacy and ethical reasons, mobile phone data is rarely shared with researchers. In this study, we use anonymous and aggregated data sets prepared using mobile positioning data (XDR) collected by Turkcell throughout 2020 with the purpose of calculating different indicators of segregation for refugees in order to understand the temporal and spatial variation of these indicators. In this study, isolation index and dissimilarity index were calculated and compared in terms of their measure of migrant segregation.
[Job] Locked and [Un]loaded: The Effect of the Affordable Care Act Dependency Mandate on Reenlistment in the U.S. Army

One concern with employer-based health insurance is job lock or the inability for employees to leave their current employment for better opportunities for fear of losing benefits. We use the implementation of the Affordable Care Act's dependency mandate as a natural experiment. Data from the United States Army overcome some limitations in previous studies including the ability to examine workers with fixed contract expiration dates, uniform pay, and health coverage. We find that the ACA decreased reenlistment rates by 3.13 percent for enlisted soldiers aged 23-25. We also find that younger veterans who leave the Army are more likely to attend college. These findings show that the ACA reduced job lock and increased college-going.
Echocardiographic Quantification of Superior Vena Cava (SVC) Flow in Neonates: Pilot Study of Modified Technique

Ultrasound Superior Vena Cava (SVC) flow assessment is a common measure of systemic and cerebral perfusion, although accuracy is limited. The aim of this study was to evaluate whether any improvements in accuracy could be achieved by measuring stroke distance from the instantaneous mean velocity, rather than from peak velocity, and by directly tracing area from images obtained with a high frequency linear probe. Paired phase contrast magnetic resonance imaging (PCMRI) and ultrasound assessments of SVC flow were performed in a pilot cohort of 7 infants. Median postnatal age, corrected gestation and weight at scan were 7 (2–74) days, 34.8 (31.7–37.2) weeks 1870 (970–2660) g. Median interval between PCMRI and ultrasound scans was 0.3 (0.2–0.5) h. The methodology trialed here showed a better agreement with PCMRI (mean bias −8 mL/kg/min, LOA −25–+8 mL/kg/min), compared to both the original method reported by Kluckow et al. (mean bias + 42 mL/kg/min, LOA −53–+137 mL/kg/min), and our own prior adaptation (mean bias + 23 mL/kg/min, LOA −25–+71 mL/kg/min). Ultrasound assessment of SVC flow volume using the modifications described led to enhanced accuracy and decreased variability compared to prior techniques in a small cohort of premature infants.
Wideband Switchable-Capacitor Loaded Differential Phase Shifter with Lattice Structures

This paper presents a differential K/Ka-band switchable-capacitor loaded phase shifter with lattice structures using 28-nm CMOS technology. The lattice structure, which has a wideband characteristic, is loaded with switchable-capacitors and provides 22.5° phase shift. Seven of the lattice phase shifters are cascaded with a switched line 180° phase shifter, resulting in a full 360° phase shifter. The measured bandwidth for a root mean square (rms) phase error of < 5° is from 22.5 to 33.5 GHz, where the rms amplitude error is < 0.53 dB. The measured insertion loss is $\mathbf{11.6}\pm \mathbf{0.8}\mathbf{dB}$ at 28 G Hz, and the input and output return losses are both> 10 dB from 22.5 to 33.5 GHz. Over the 5G NR bands at 28 GHz (24.25 to 29.5 GHz), rms phase error is < 2.4° and rms amplitude error is < 0.49 dB. The fabricated phase shifter has a size of 0.45 mm2 excluding pads. The proposed K/Ka-band phase shifter based on lattice structures has a wide bandwidth while maintaining low rms phase and amplitude errors.
Comparison of Amblyopia Treatment Effect with Dichoptic Method Using Polarizing Film and Occlusion Therapy Using an Eye Patch

We developed a novel, low-cost, easily administered method that uses a polarizing film to enable dichoptic treatment for amblyopia. In this study, we compared its effects with occlusion therapy using an eye patch. Fifty-eight patients (aged 4.7 ± 1.0 years) diagnosed with anisometric amblyopia were included and instructed to wear complete refractive correction glasses with either occlusion therapy using an eye patch (eye patch group) or dichoptic treatment using polarizing film (polarizing film group) for 2 h per day. We examined the improvement in the visual acuity and compliance rate of the patients 2 months after treatment initiation. After treatment, the polarizing film group showed significant improvement in visual acuity compared with the eye patch group. Moreover, the compliance rate was significantly better in the polarizing film group than in the eye patch group. In both groups, there was a significant correlation between the improvement in visual acuity and compliance rate. This new dichoptic treatment using a polarizing film was shown to be effective for anisometropic amblyopia.
Automated Identification of ‘Dunkelflaute’ Events: A Convolutional Neural Network-Based Autoencoder Approach

As wind and solar power play increasingly important roles in the European energy system, unfavourable weather conditions, such as ‘Dunkelflaute’ (extended calm and cloudy periods), will pose ever greater challenges to transmission system operators. Thus, accurate identification and characterization of such events from open data streams (e.g., reanalysis, numerical weather prediction, and climate projection) are going to be crucial. In this study, we propose a two-step, unsupervised deep learning framework (named WISRnet) to automatically encode spatial patterns of wind speed and insolation, and subsequently, identify Dunkelflaute periods from the encoded patterns. Specifically, a deep convolutional neural network (CNN)-based autoencoder (AE) is first employed for feature extraction from the spatial patterns. These two-dimensional CNN-AE patterns encapsulate both amplitude and spatial information in a parsimonious way. In the second step of the WISRnet framework, a variant of the well-known k-means algorithm is used to divide the CNN-AE patterns in region-dependent meteorological clusters. For the validation of the WISRnet framework, aggregated wind and solar power production data from Belgium are used. Using a simple criterion from published literature, all the Dunkelflaute periods are directly identified from this six year-long dataset. Next, each of these periods is associated with a WISRnet-derived cluster. Interestingly, we find that the majority of these Dunkelflaute periods are part of only five clusters (out of twenty five). We show that in lieu of proprietary power production data, the WISRnet framework can identify Dunkelflaute periods from public-domain meteorological data. To further demonstrate the prowess of this framework, it is deployed to identify and characterize Dunkelflaute events in Denmark, Sweden, and the UK.
Balanced Free Essential Amino Acids and Resistance Exercise Training Synergistically Improve Dexamethasone-Induced Impairments in Muscle Strength, Endurance, and Insulin Sensitivity in Mice

Our previous study shows that an essential amino acid (EAA)-enriched diet attenuates dexamethasone (DEX)-induced declines in muscle mass and strength, as well as insulin sensitivity, but does not affect endurance. In the present study, we hypothesized that the beneficial effects will be synergized by adding resistance exercise training (RET) to EAA, and diet-free EAA would improve endurance. To test hypotheses, mice were randomized into the following four groups: control, EAA, RET, and EAA+RET. All mice except the control were subjected to DEX treatment. We evaluated the cumulative rate of myofibrillar protein synthesis (MPS) using 2H2O labeling and mass spectrometry. Neuromuscular junction (NMJ) stability, mitochondrial contents, and molecular signaling were demonstrated in skeletal muscle. Insulin sensitivity and glucose metabolism using 13C6-glucose tracing during oral glucose tolerance tests were analyzed. We found that EAA and RET synergistically improve muscle mass and/or strength, and endurance capacity, as well as insulin sensitivity, and glucose metabolism in DEX-treated muscle. These improvements are accomplished, in part, through improvements in myofibrillar protein synthesis, NMJ, fiber type preservation, and/or mitochondrial biogenesis. In conclusion, free EAA supplementation, particularly when combined with RET, can serve as an effective means that counteracts the adverse effects on muscle of DEX that are found frequently in clinical settings.
Sampling parts of random integer partitions: a probabilistic and asymptotic analysis

Abstract Let λ be a partition of the positive integer n, selected uniformly at random among all such partitions. Corteel et al. (1999) proposed three different procedures of sampling parts of λ at random. They obtained limiting distributions of the multiplicity μn = μn(λ) of the randomly-chosen part as n → ∞. The asymptotic behavior of the part size σn = σn(λ), under these sampling conditions, was found by Fristedt (1993) and Mutafchiev (2014). All these results motivated us to study the relationship between the size and the multiplicity of a randomly-selected part of a random partition. We describe it obtaining the joint limiting distributions of (μn; σn), as n → ∞, for all these three sampling procedures. It turns out that different sampling plans lead to different limiting distributions for (μn; σn). Our results generalize those obtained earlier and confirm the known expressions for the marginal limiting distributions of μn and σn.
A High Bandwidth Energy Efficient Linear Transimpedance Amplifier for Short-Range 100 GBd PAM-4 Applications

We present a linear transimpedance amplifier with 67 GHz bandwidth. The amplifier has a maximum differential transimpedance of 72.5 dB-Ohm with automatic and manual gain control modes. For enhanced dynamic range, the IC includes input DC current regulation, as well as output DC offset correction using replica biasing. With an input-referred noise current density of 16.3 pA/sqrt(Hz) and power consumption of 193 mW, the presented circuit topology is suitable for short-range PAM-4 electro/optical communications.
A two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominance

Many‐objective evolutionary algorithms (MaOEAs) are widely used to solve many‐objective optimization problems. As the number of objectives increases, it is difficult to achieve a balance between the population diversity and the convergence. Additionally, the selection pressure decreases rapidly. To tackle these issues, this paper proposes a two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominance (called TS‐DGPD). First, a two‐stage method is utilized for environmental selection. The first stage employs the cosine distance to accelerate the convergence. The second stage uses L p ${L}_{p}$ ‐norm maintain the population diversity. Moreover, a dynamic generalized Pareto dominance (DGPD) is used to increase the selection pressure of the population. To evaluate the performance of TS‐DGPD, we compare it with several other MaOEAs on two benchmark sets with 3, 5, 8, 10, 15, and 20 objectives. Experimental results show that TS‐DGPO performs satisfactorily on convergence and diversity.
Decomposability of bimodule maps

Consider a unital C*-algebra A, a von Neumann algebra M, a unital sub-C*-algebra C of A and a unital *-homomorphism $\pi$ from C to M. Let u: A --> M be a decomposable map (i.e. a linear combination of completely positive maps) which is a C-bimodule map with respect to $\pi$. We show that u is a linear combination of C-bimodule completely positive maps if and only if there exists a projection e in the commutant of $\pi(C)$ such that u is valued in eMe and $e\pi(.)e$ has a completely positive extension A --> eMe.
Automatic Latent Fingerprint Pose Estimation

In this study, we propose a novel method towards automatic pose estimation in latent fingerprint images. Proposed method utilizes one of the most popular models in image classification, namely MobileNetV3, for pose estimation using latent images. With the pre-processing steps applied before classification, the region where the traces are found in the crime scene traces is segmented and the noise level is reduced. The proposed method was tested using 2034 tagged latent fingerprints obtained from the General Directorate of Security (EGM) in Ankara, Turkey. Proposed methods improves the classification accuracy considerably compared to an earlier method developed towards this task.
Polyploidy and Myc Proto-Oncogenes Promote Stress Adaptation via Epigenetic Plasticity and Gene Regulatory Network Rewiring

Polyploid cells demonstrate biological plasticity and stress adaptation in evolution; development; and pathologies, including cardiovascular diseases, neurodegeneration, and cancer. The nature of ploidy-related advantages is still not completely understood. Here, we summarize the literature on molecular mechanisms underlying ploidy-related adaptive features. Polyploidy can regulate gene expression via chromatin opening, reawakening ancient evolutionary programs of embryonality. Chromatin opening switches on genes with bivalent chromatin domains that promote adaptation via rapid induction in response to signals of stress or morphogenesis. Therefore, stress-associated polyploidy can activate Myc proto-oncogenes, which further promote chromatin opening. Moreover, Myc proto-oncogenes can trigger polyploidization de novo and accelerate genome accumulation in already polyploid cells. As a result of these cooperative effects, polyploidy can increase the ability of cells to search for adaptive states of cellular programs through gene regulatory network rewiring. This ability is manifested in epigenetic plasticity associated with traits of stemness, unicellularity, flexible energy metabolism, and a complex system of DNA damage protection, combining primitive error-prone unicellular repair pathways, advanced error-free multicellular repair pathways, and DNA damage-buffering ability. These three features can be considered important components of the increased adaptability of polyploid cells. The evidence presented here contribute to the understanding of the nature of stress resistance associated with ploidy and may be useful in the development of new methods for the prevention and treatment of cardiovascular and oncological diseases.
Variance Reduction MCMs with Application in Environmental Studies: Sensitivity Analysis

This paper studies generator sensitivity of some variance reduction Monte Carlo methods (MCMs) with acceptance‐rejection for approximate calculation of multiple integrals. This investigation is important basis for the development of the grid application Monte Carlo Sensitivity Analysis for Environmental Systems in the framework of the SEE‐GRID‐SCI project.Monte Carlo are among the most widely used methods in real simulations. These methods can be considered as methods for computing an integral in the unit cube of an appropriate dimension, called the constructive dimensionality of the method.Since its worst‐case convergence rate of O(N−1/2) does not depend on the dimension of the integral, Monte Carlo is sometimes the only viable method for a wide range of high‐dimensional problems. Many studies show that the outcome of the simulation may be sensitive to the random generators being used, which means that obtaining unbiased estimates requires careful selection of the random generators. The random number gen.
Acoustic Delay Lines in Thin-Film Lithium Niobate on Silicon Carbide

This work demonstrates the first group of GHz low-loss and wideband acoustic delay lines (ADLs) using transferred Y-cut thin-film lithium niobate (LiNbO3) on silicon carbide (SiC) platform. Single-phase unidirectional transducers (SPUDT) in ADLs effectively excite shear horizontal surface acoustic wave (SH-SAW) with high electromechanical coupling (K2) beyond 30%. The film stack confines the traveling acoustic wave in the piezoelectric layer with low propagation loss. SH-SAW ADL prototypes are built between 1.0 GHz and 2.7 GHz with delays between 3 ns and 1.04 μs. The prototypes achieve 3-dB fractional bandwidth (FBW) around 8% and minimum insertion loss (IL) between 2.5 dB and 5.7 dB. The acoustic propagation $Q$ of SH-SAW in LiNbO3-on-SiC is extracted as around 2000 between 1 and 3 GHz, exceeding reported solidly mounted platforms so far. LiNbO3-on-SiC ADLs show great potential for RF and cross-domain applications at GHz.