Miracle-dz/UniFAR-FTUs huggingface dataset:
Quercetin Zinc and Iron Metal Complexes Protect against Sodium Arsenite Intoxication in the Hepato-Renal System of Wistar Rats via the Oxidative Stress Pathway

Background Chronic exposure to arsenic is a major health concern consequent upon generation of excessive reactive oxygen species. The safety of treatment with chelating agents has not been well established; therefore, there is a need for a paradigm shift in the approach to management of arsenic toxicity. Bioflavonoids are known to influence redox homeostasis in cells; the study therefore investigates the efficacy of quercetin and its zinc and iron metal complexes on sodium arsenite (NaAr)-intoxication in rats. Methods Spectroscopic study of quercetin hydrate and its metal complexes was performed using UV-Vis and FT-IR spectrometer. Furthermore, twenty male Wistar rats were obtained and equally divided into four groups, treated orally and daily for 28 days with 10 mg/kg NaAr, 30 mg/kg quercetin, quercetin-zinc, and quercetin-iron separately. Five more rats were used as control. Plasmatic aspartate transferase (AST), alanine transferase (ALT), creatinine (CREA), and total protein (TP) were estimated. Levels of kidney and liver lipid peroxidation (LPO), glutathione (GSH), catalase (CAT), and glutathione-S-transferase (GST) were determined. Histology was used to view the lesions. Results Treatment of arsenic-toxicity with quercetin and its complexes decreased the activities of ALT, AST, CREA, TP, CAT, and GST and concentration of LPO and GSH. Quercetin-zn treatment showed a better result than quercetin-iron in the liver. Histology results showed absence of lesions in quercetin zinc and iron treatment in both the kidney and the liver. Conclusion Quercetin zinc and iron increased the bioavailability of quercetin and therefore could be relevant as adjuvants in arsenic poisoning.
A Ball-Shaped Target Development and Pose Estimation Strategy for a Tracking-Based Scanning System

This article describes a pose measurement and tracking strategy for an automatic tracking-based scanning system through developing a ball-shaped target. The target structure is introduced. Then, to determine the target pose, a coded marker and accurate center extraction method is proposed using a subpixel and cross-ratio invariance principle. Furthermore, the target coordinate system is established by vision-based target calibration. A confidence-based tracker is proposed, enabling higher tracking confidence and accuracy, and keeping a high tracking speed. The stereo vision estimates the 3-D position and orientation of the moving target in real time. The trajectory is smoothed dynamically based on the Kalman filter. Experiments are implemented to verify the tracking speed, accuracy, and spatial accessibility in robot tracking applications. In addition, the proposed target and strategy have good performance in full-space and fall-orientation tracking.
Vitamin D and genetic ancestry are associated with apoptosis rates in benign and malignant prostatic epithelium

Vitamin D metabolites may be protective against prostate cancer (PCa). We conducted a cross‐sectional analysis to evaluate associations between in vivo vitamin D status, genetic ancestry, and degree of apoptosis using prostatic epithelial terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining.
Low-Temperature Thermal Conductivity of Short Single-Walled Carbon Nanotubes Using a Modified Nosé-Hoover Thermostat

The study aims at predicting the low-temperature thermal conductivity of short single-walled carbon nanotubes (SWCNTs) through a modified Nosé-Hoover (NH) thermostat method incorporated with nonequilibrium molecular dynamics (NEMD) simulation. The thermostat method accounts for the phonon effects by virtue of the lattice vibrational and zero-point energy to accurately capture the quantum effects at temperatures below Debye temperature. Using this method, the dependences of the tube length, diameter, chirality, and temperature on thermal conductivity are examined, and the size-dependent phonon transport phenomena in the SWCNTs are also studied. The effectiveness of the proposed model is demonstrated through comparison with the results of the standard NH- and “massive” NH chain (MNHC)-based NEMD models with or without quantum corrections as well as the literature experimental and theoretical data. The results showed that the proposed model is the only one among those five that allows better agreement with the published experimental and theoretical predictions as well as the T λ-dependence (λ = 2–3) of thermal conductivity at low temperature due to the dominated phonon boundary scattering. Even with quantum corrections, by which the solution can be substantially improved, the standard NH- and MNHC-based models remain unable to follow the experimental data at temperatures below 300 K. Due to ballistic–diffusive phonon transport, the low-temperature thermal conductivity of SWCNTs with lengths greater than 5 nm shows strong dependence on tube's length, diameter, and chirality.
Metabolomics of Extracellular Vesicles: A Future Promise of Multiple Clinical Applications

Abstract Extracellular vesicles (EVs) can contain DNA, RNA, proteins and metabolic molecules from primary origins; they are coated with a phospholipid bilayer membrane and released by cells into the extracellular matrix. EVs can be obtained from various body liquids, including the blood, saliva, cerebrospinal fluid, and urine. As has been proved, EVs-mediated transfer of biologically active molecules is crucial for various physiological and pathological processes. Extensive investigations have already begun to explore the diagnosis and prognosis potentials for EVs. Furthermore, research has continued to recognize the critical role of nucleic acids and proteins in EVs. However, our understanding of the comprehensive effects of metabolites in these nanoparticles is currently limited and in its infancy. Therefore, we have attempted to summarize the recent research into the metabolomics of EVs in relation to potential clinical applications and discuss the problems and challenges that have occurred, to provide more guidance for the future development in this field.
Bipolar Spectrum Symptoms in Patients with Fibromyalgia: A Dimensional Psychometric Evaluation of 120 Patients

Background: Fibromyalgia Syndrome (FMS) is characterized by chronic widespread pain, fatigue, unrefreshing sleep and cognitive dysfunction. Depressive and manic symptoms are often reported in FMS patients’ history. The aim of this study was to evaluate the prevalence of bipolar spectrum symptoms (BSS) and to correlate these with quality of life (QoL) scores and antidepressant treatment. Methods: From October 2017 to July 2018, a battery of QoL questionnaires (FIQ, PSQI and SF-12) was administered to 120 FMS patients after a clinical examination. The MOODS-SR lifetime questionnaire was then remotely administered to the patients included in the study. Results: The presence of depressive and manic lifetime symptoms was found, in line with the results of the available literature. A correlation was found between the history of depressive symptoms and the severity of FIQ and SF-12 scores. Despite a low statistical strength, a trend toward a correlation between a history of manic symptoms and SNRI treatment was detected. Conclusions: The correlation between the MOOD—depressive domains and poor QoL is in line with the available literature. Further studies are needed to corroborate these findings and to elucidate the relationship between manic symptoms and SNRI treatment.
The potential of seed germination inhibition test for early pregnancy detection and improved reproductive efficiency of cattle in Zambia

Early pregnancy diagnosis is an important management practice for reducing calving interval, increasing cattle reproductive efficiency, and the overall herd productivity. This study was undertaken to assess the viability of seed germination inhibition technique (Punyakoti test) for early pregnancy detection in cattle under the tropical rearing conditions. Twenty-four randomly selected cows were used for the experiment. Urine samples were collected and subjected to Punyakoti test, using maize seeds, within 6 hours of collection. Descriptive statistics employing means and standard error were used to analyse data, also, inferential statistics including analysis of variance and t-tests were employed to ascertain differences between the variables under study. Urine from pregnant cows had the highest (80.03±3.99) inhibitory effect while the distilled water group had the least (7.50±3.81) mean seed germination inhibition. The means of germinated maize seeds in pregnant and non-pregnant cow urine treatment groups were significantly different. The means of germinated maize seeds in unstripped and stripped pregnant cow urine were significantly different, while the mean shoot length values for the same treatments were not significantly different. Urine from 42 days’ pregnant cows had the highest germination inhibition (80.21±3.59) while the least (25.00±4.35) was observed on day 10. The Punyakoti test reliably detected pregnancy starting from 26 days after insemination. In conclusion, this technique can be used for detecting pregnancy as early 26 days after insemination. The potential role of steroids and involvement of abscisic acid (ABA) in seed germination inhibition requires further investigation.
The Influence of Air Temperature Inversions on Snowmelt and Glacier Mass Balance Simulations, Ammassalik Island, Southeast Greenland

Abstract In many applications, a realistic description of air temperature inversions is essential for accurate snow and glacier ice melt, and glacier mass-balance simulations. A physically based snow evolution modeling system (SnowModel) was used to simulate 8 yr (1998/99–2005/06) of snow accumulation and snow and glacier ice ablation from numerous small coastal marginal glaciers on the SW part of Ammassalik Island in SE Greenland. These glaciers are regularly influenced by inversions and sea breezes associated with the adjacent relatively low temperature and frequently ice-choked fjords and ocean. To account for the influence of these inversions on the spatiotemporal variation of air temperature and snow and glacier melt rates, temperature inversion routines were added to MircoMet, the meteorological distribution submodel used in SnowModel. The inversions were observed and modeled to occur during 84% of the simulation period. Modeled inversions were defined not to occur during days with strong winds and .
Early Childhood Educators’ Personality and Competencies for Teaching Children with Disabilities as Predictors of Their Professional Burnout

Znanstvena istraživanja ukazuju da je preduvjet očuvanja dobrobiti djece i mladih očuvanje mentalnog zdravlja odgojno-obrazovnih djelatnika. Stoga je važno sustavno proučavati korelate profesionalnog sagorijevanja odgajatelja, kao što su osobine ličnosti i kompetentnost, te mogućnosti njegova predviđanja, što je bio i cilj ovog istraživanja. Na uzorku od 203 odgajateljice s područja Istarske županije, Rijeke i Zagreba primijenjena su tri upitnika: Petofaktorski upitnik ličnosti, Ljestvica samoprocijenjenih kompetencija za rad s djecom s teškoćama u razvoju, te Upitnik profesionalnog sagorijevanja. Utvrđene su niske razine svih dimenzija profesionalnog sagorijevanja, srednja razina samoprocijenjenih kompetencija za rad s djecom s teškoćama u razvoju u redovnim skupinama, te visoke razine svih osobina ličnosti osim neuroticizma. Korelacijske su analize pokazale značajnu povezanost između snižene samoprocijenjene kompetentnosti za rad s djecom s teškoćama u razvoju u redovnim skupinama i povećanog neuroticizma i profesionalne opterećenosti, te značajno snižene ugodnosti. Sve dimenzije povišenog profesionalnog sagorijevanja pokazale su značajnu povezanost s povišenim neuroticizmom i značajno sniženom ugodnošću, dok je povišena ekstraverzija značajno povezana sa sniženom profesionalnom opterećenošću. Snižena razina samoprocijenjene kompetentnosti za rad s djecom s teškoćama i visoki neuroticizam su značajni prediktori svih dimenzija profesionalnog sagorijevanja, dok se ugodnost pokazala značajnim prediktorom samo za profesionalnu neispunjenost. Rezultati su raspravljeni u svjetlu postojećih istraživanja, te implikacija za unaprjeđenje prakse rada odgajatelja s djecom s teškoćama u razvoju.
Predicting Chaotic Time Series Using Recurrent Neural Network

A new proposed method, i.e. the recurrent neural network (RNN), is introduced to predict chaotic time series. The effectiveness of using RNN for making one-step and multi-step predictions is tested based on remarkable few datum points by computer-generated chaotic time series. Numerical results show that the RNN proposed here is a very powerful tool for making prediction of chaotic time series.
Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model

Laboratoire de Probabilite ´setMode`les Aleatoires, Universite Paris VI, 175 rue du Chevaleret,75013 Paris, FranceWe consider a semiparametric convolution model where the noise has known Fourier transform whichdecays asymptotically as an exponential with unknown scale parameter; the deconvolution density isless smooth than the noise in the sense that the tails of the Fourier transform decay more slowly,ensuring the identiﬁability of the model. We construct a consistent estimation procedure for the noiselevel and prove that its rate is optimal in the minimax sense. Two convergence rates are distinguishedaccording to different smoothness properties for the unknown density. If the tail of its Fouriertransform does not decay faster than exponentially, the asymptotic optimal rate and exact constant areevaluated, while if it does not decay faster than polynomially, this rate is evaluated up to a constant.Moreover, we construct a consistent estimator of the unknown density, by using a plug-in method inthe classical kernel estimation procedure. We establish that the rates of estimation of thedeconvolution density are slower than in the case of an entirely known noise distribution. In fact,nonparametric rates of convergence are equal to the rate of estimation of the noise level, and we provethat these rates are minimax. In a few speciﬁc cases the plug-in method converges at even slowerrates.Keywords: analytic densities; deconvolution; L
Spectroscopy of Rashba spin splitting in InSb quantum wells

We use electron spin resonance in the far infrared to probe the Landau-level spin splitting in symmetric and asymmetric InSb quantum wells. The asymmetric wells exhibit a strong deviation in behavior from the symmetric wells at low magnetic fields with apparent g factors far in excess of the bulk g factor of InSb. These asymmetry-induced shifts in the spin resonance depend on Landau-level index as predicted by the BychkovRashba model. We analyze the shifts to extract values for the Rashba parameter.
Photoassisted amorphization of the phase-change memory alloy Ge 2 Sb 2 Te 5

Subnanosecond time-resolved x-ray absorption measurements have been used to probe dynamical changes in the local structure about Ge atoms in the phase-change alloy ${\text{Ge}}_{2}{\text{Sb}}_{2}{\text{Te}}_{5}$ during the optical recording (amorphization) process using an optical pump and x-ray probe technique to examine the reversible phase transition from the metastable crystalline phase to the amorphous phase. We provide unambiguous evidence that the amorphization process does not proceed via the molten state but is a photoassisted process. We argue that the transition to the amorphous phase is a consequence of photoassisted destabilization of the resonant bonding present in the crystalline phase. This observation challenges the currently existing paradigm of the phase-change process which implicitly assumes the existence of the molten phase as a prerequisite for the creation of the amorphous phase. Implications from this finding are discussed, including the possibility to use the polarization of light as an extra coordinate for data recording.
Error bounds for balanced truncation of linear time-varying systems

In this paper error bounds for truncated balanced linear time-varying systems in discrete time are obtained. The analysis is based on direct calculations with the time-varying observability and controllability Lyapunov inequalities. The obtained bounds in the induced /sub 2/-norm, generalize well-known error-bound formulas for time-invariant systems. The case of time-varying state-space dimension is considered, and this proves to be valuable both for technical and practical reasons. The input-output stability of truncated models is shown to be guaranteed.
SemEval-2019 Task 4: Hyperpartisan News Detection

Hyperpartisan news is news that takes an extreme left-wing or right-wing standpoint. If one is able to reliably compute this meta information, news articles may be automatically tagged, this way encouraging or discouraging readers to consume the text. It is an open question how successfully hyperpartisan news detection can be automated, and the goal of this SemEval task was to shed light on the state of the art. We developed new resources for this purpose, including a manually labeled dataset with 1,273 articles, and a second dataset with 754,000 articles, labeled via distant supervision. The interest of the research community in our task exceeded all our expectations: The datasets were downloaded about 1,000 times, 322 teams registered, of which 184 configured a virtual machine on our shared task cloud service TIRA, of which in turn 42 teams submitted a valid run. The best team achieved an accuracy of 0.822 on a balanced sample (yes : no hyperpartisan) drawn from the manually tagged corpus; an ensemble of the submitted systems increased the accuracy by 0.048.
Anomalous Ultraviolet Line Flux Ratios in the Cataclysmic Variables 1RXS J232953.9+062814, CE 315, BZ Ursae Majoris, and EY Cygni, Observed with the Hubble Space Telescope Space Telescope Imaging Spectrograph

Brief Hubble Space Telescope Space Telescope Imaging Spectrograph spectroscopic snapshot exposures of the cataclysmic variables 1RXS J232953.9+062814, CE 315, BZ UMa, and EY Cyg reveal very large N V/C IV line flux ratios, similar to those observed in AE Aqr. Such anomalous line flux ratios have so far been observed in 10 systems and presumably reflect a different composition of the accreted material compared to the majority of cataclysmic variables. We discuss the properties of this small sample in the context of the recent proposal by Schenker et al. that a significant fraction of the present-day population of cataclysmic variables may have passed through a phase of thermal timescale mass transfer.
Sustained Low Efficiency Dialysis in Critically Ill Children With Acute Kidney Injury: Single-Center Observational Cohort in a Resource-Limited Setting

OBJECTIVES: To evaluate use of sustained low efficiency dialysis (SLED) in critically ill children with acute kidney injury in a resource-limited setting. DESIGN: Observational database cohort study (December 2016 to January 2020). SETTING: PICU of a tertiary hospital in India. PATIENTS: Critically ill children undergoing SLED were included in the study. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographic and clinical data, prescription variables, hemodynamic status, complications, kidney, and patient outcomes of all children undergoing SLED in the PICU were analyzed. A total of 33 children received 103 sessions of SLED. The median (interquartile range, IQR) age and weight of children who received SLED were 9 years (4.5–12.8 yr) and 26 kg (15.2–34 kg), respectively. The most common diagnosis was sepsis with septic shock in 17 patients, and the mean (±sd) Pediatric Risk of Mortality III score at admission was 11.8 (±6.4). The median (IQR) number and mean (±sd) duration of inotropes per session were 3 hours (2–4 hr) and 96 (±82) hours, respectively. Of 103 sessions, the most common indication for SLED was oligoanuria with fluid overload and the need for creating space for fluid and nutritional support in 45 sessions (44%). The mean (±sd) duration of SLED was 6.4 (±1.3) hours with 72 of 103 sessions requiring priming. The mean (±sd) ultrafiltration rate per session achieved was 4.6 (±3) mL/kg/hr. There was significant decrease in urea and creatinine by end of SLED compared with the start, with mean change in urea and serum creatinine being 32.36 mg/dL (95% CI, 18.53–46.18 mg/dL) (p < 0.001) and 0.70 mg/dL (95% CI, 0.35–1.06 mg/dL) (p < 0.001), respectively. Complications were observed in 44 of 103 sessions, most common being intradialytic hypotension (21/103) and bleeding at the catheter site (21/103). Despite complications in one third of the sessions, only nine sessions were prematurely stopped, and 23 of 33 patients receiving SLED survived. Conclusion: In critically ill children, our experience with SLED is that it is feasible and provides a viable form of kidney replacement therapy in a resource-limited setting.
Increased Consumption of Ultra-Processed Food Is Associated with Poor Mental Health in a Nationally Representative Sample of Adolescent Students in Brazil

The objective of this study was to analyze the association between ultra-processed food (UPF) consumption and mental health symptoms in a nationally representative sample of the Brazilian adolescent student population. Cross-sectional analyses with data from the National School-Based Health Survey (PeNSE 2019) were performed. Self-reported information was obtained for the frequency of five mental health symptoms in the last month and the consumption of thirteen UPFs in the last 24 h. Generalized linear models adjusting for the main confounders were performed for each sex. Of the 94,767 adolescent students (52.4% girls) included, 8.1% of the boys and 27.2% of the girls reported “almost always” or “always” having at least four of the five mental health symptoms. In the fully adjusted models, compared to the boys who consumed ≤3 UPF, those consuming ≥6 UPF reported more frequent symptoms of poor mental health (ß-coefficient = 0.27 [0.03, 0.51]; p-for-trend = 0.005). A similar association was observed in girls (ß-coefficient = 0.31 [0.13, 0.50]; p-for-trend = 0.001). In conclusion, in this large sample of adolescent students from an entire country, the higher the consumption of UPF was, the higher the frequency of reported symptoms of poor mental health. These findings remained significant regardless of sociodemographic and lifestyle factors, self-perceived body image, and bullying victimization.
Dimensional Analysis of School Based Pesantren Design Development

The development dimension refers to managerial concept of education strategies. Analysis on the implementation of strategic management at school was conducted using SWOT analysis. This research aims to determine the education strategic management model applied at School Based Pesantren in Aceh Province. This research used qualitative approach with survey method and analytic study. The results show that the organizational development begins with the high ideals of teachers abilitty that supported by institutional independence in school management. The finding revealed that the effectiveness of school development refers to the instilling of the values ​​of pesantren, namely the spirit of sincerity; hence the teachers did not depend on school for their lives. As for the stabilization of the ubudiyyah of the students, it helps in increasing academic achievement. Keywords: Dimensional Analysis, Islamic Based-School, Design Development Pesantren