Miracle-dz/UniFAR-FTUs huggingface dataset:
Ten-Year Cardiovascular Risk as Predicted by the QRISK®3 Calculator in Diabetic Patients Attending a Tertiary Care Teaching Hospital in Central India and Its Application to Stratify Statin Over-Users and Under-Users

Background: Cardiovascular disease (CVD) is an important cause of morbidity and mortality in diabetic patients. As such, risk stratification is essential to identify the risk factors of CVD and provide early intervention. The QRISK®3 tool, recommended by the National Institute for Health and Care Excellence (NICE) guidelines, has the option to choose the patient’s ethnicity, which is not available in other tools. However, there is a paucity of data regarding the use of this tool in the Indian population. Therefore, this study was planned to predict 10-year CVD risk using the QRISK®3 tool and to determine statin eligibility in diabetic patients. Methods: We enrolled diabetic patients visiting our general medicine outpatient department and diabetic clinic in the study. We collected data from clinical and prescription records, as well as through patient interviews. We analyzed the data to determine the 10-year CVD risk using the QRISK®3 risk tool, which is available online. A cut-off QRISK score of 10%, as recommended by the NICE guidelines (2014), was used to stratify patients as “over-users” and “under-users. ” We also analyzed the data to determine any correlation between other risk factors and QRISK scores. Results: Of the 134 diabetic patients recruited in this study, 43 (32.09%) had a CVD risk score of <10%, of which 16 (37.21%) were categorized as “over-users. ” Of the patients, 91 had a CVD risk score of ≥10%, of which 17 (18.68%) were categorized as “under-users. ” Risk factors showing a positive correlation with QRISK score included duration of diabetes, age, blood pressure treatment, waist circumference, and non-high-density lipoprotein cholesterol level. Conclusion: QRISK score can be useful to predict 10-year CVD risk in the Indian population and to stratify patients as statin over-users and under-users. This tool can be used in the Indian set-up to identify potential candidates for statin initiation.
Hydrogen Peroxide Electrochemical Sensor Based on Ag/Cu Bimetallic Nanoparticles Modified on Polypyrrole

Due to the strong oxidizing properties of H2O2, excessive discharge of H2O2 will cause great harm to the environment. Moreover, H2O2 is also an energetic material used as fuel, with specific attention given to its safety. Therefore, it is of great importance to explore and prepare good sensitive materials for the detection of H2O2 with a low detection limit and high selectivity. In this work, a kind of hydrogen peroxide electrochemical sensor has been fabricated. That is, polypyrrole (PPy) has been electropolymerized on the glass carbon electrode (GCE), and then Ag and Cu nanoparticles are modified together on the surface of polypyrrole by electrodeposition. SEM analysis shows that Cu and Ag nanoparticles are uniformly deposited on the surface of PPy. Electrochemical characterization results display that the sensor has a good response to H2O2 with two linear intervals. The first linear range is 0.1–1 mM (R2 = 0.9978, S = 265.06 μA/ (mM × cm2)), and the detection limit is 0.027 μM (S/N = 3). The second linear range is 1–35 mM (R2 = 0.9969, 445.78 μA/ (mM × cm2)), corresponding to 0.063 μM of detection limit (S/N = 3). The sensor reveals good reproducibility (σ = 2.104), repeatability (σ = 2.027), anti-interference, and stability. The recoveries of the electrode are 99.84–103.00% (for 0.1–1 mM of linear range) and 98.65–104.80% (for 1–35 mM linear range). Furthermore, the costs of the hydrogen peroxide electrochemical sensor proposed in this work are reduced largely by using non-precious metals without degradation of the sensing performance of H2O2. This study provides a facile way to develop nanocomposite electrochemical sensors.
A New Monthly Climatology of Global Radiation for the Arctic and Comparisons with NCEP-NCAR Reanalysis and ISCCP-C2 Fields

Abstract Measurements from the Russian “North Pole” series of drifting stations, the United States drifting stations“T-3” and “Arlis II,” land stations, and, where necessary, over the northern North Atlantic and coastal Greenland, empirically derived values from earlier Russian studies are used to compile a new gridded monthly climatology of global (downwelling shortwave) radiation for the region north of 65°N. Spatio-temporal patterns of fluxes and effective cloud transmittance are examined and comparisons are made with fields from the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis and those derived from the International Satellite Cloud Climatology Project (ISCCP) C2 (monthly) cloud product. All months examined (March–October) show peak fluxes over the Greenland ice sheet. March, September, and October feature a strong zonal component. Other months exhibit an asymmetric pattern related to cloud fraction and optical depth, manifested by an At.
Automatic reinforcement for robust model‐free neurocontrol of robots without persistent excitation

Model‐based adaptive control suffers over parametrization from the many adaptive parameters compared to the order of system dynamics, leading to sluggish tracking with a poor adaptation transient without robustness. Likewise, adaptive model‐free neurocontrol that relies on the Stone–Weierstrass theorem also suffers from similar problems in addition to over‐fitting to approximate inverse dynamics. This article proposes a novel reinforced adaptive mechanism to guarantee a transient and robustness for the model‐free adaptive control of nonlinear Lagrangian systems. Inspired by the symbiosis of Actor‐Critic (AC) architecture and integral sliding modes, the reinforced stage neural network, analogous to the critic, injects excitation signals to reinforce the parametric learning of the adaptive stage neural network, analogous to the actor to improve the approximation of inverse dynamics. The underlying integral sliding surface error drives improved learning onto a low‐dimensional invariant manifold to guarantee local exponential convergence of tracking errors. Lyapunov stability substantiates the robustness with an improved transient response. Our proposal stands for a hybrid approach between AC and neurocontrol, where the reinforced stage does not require a value function nor reward to provide automatic reinforcement to the adaptive stage parametric adaptation. Dynamic simulations are presented for a nonlinear robot manipulator under different conditions.
Clinical Association of Anti-TPO in Patients with Chronic Urticaria

Background: Chronic urticaria may occur when the body's immune system attacks its self-tissues. It is a skin condition marked by brief purpuric wheals that last longer than six weeks. Uncertainty surrounds the disease's etiopathogenesis. Autoimmunity and endocrine dysfunction may both be at play, according to the available research. Objective: This study aimed to evaluate if thyroid immunity is statistically linked with chronic urticaria. Methods: This case-control study was held from June 2022 to March 2023 at Department of Dermatology & Venerology in IMCH, Popular diagnostic center and Digital Hospital in Gazipur. We examined the prevalence of autoantibodies (Anti-TPO) in 50 chronic urticaria patients and 50 healthy volunteers. In all participants, thyroid hormone and thyroid auto-antibodies were assessed. Results: Thyroid function abnormalities were found 7 (13.42%) patients and Anti-TPO is positive in 38(76%) patients respectively. Only 2 (4%) of the individuals in the control group had positive anti-TPO tests. With chronic urticaria, anti-TPO levels were considerably greater (P 0.05) than in the control group. Conclusions: This study shows a significant association between chronic urticaria and thyroid auto-immunity. The test is conducted to detect thyroid auto-antibodies is relevant in patients with chronic urticaria. J Rang Med Col. September 2023; Vol. 8, No. 2: 29-33
Climate Change and Potato Production in Contrasting South African Agro-ecosystems

Explorations of the impact of climate change on potential potato yields were obtained by downscaling the projections of six different coupled climate models to high spatial resolution over southern Africa. The simulations of daily maximum and minimum temperatures, precipitation, wind speed, and solar radiation were used as input to run the crop growth model LINTUL-Potato. Pixels representative for potato growing areas were selected for four globally occurring agro-ecosystems: rainy and dry winter and summer crops. The simulated inter-annual variability is much greater for rainfall than for temperature. Reference evapotranspiration and radiation are projected to hardly decline over the 90-year period, whilst temperatures are projected to rise significantly by about 1.9 °C. From literature, it was found that radiation use efficiency of potato increased with elevated CO2 concentrations by almost 0.002 gMJ−1ppm−1. This ratio was used to calculate the CO2 effect on yields between 1960 and 2050, when CO2 concentration increases from 315 to 550 ppm.
Hybridisation of WSN and satellite

Monitoring some types of events can be very challenging depending on where data is collected. Hence, the use of in-situ wireless sensor networks combined with observing satellites can be very useful. These two technologies are often used to monitor systems separately but it is rare that data collected each one is used mutually to consolidate a view of the system state. We propose an architecture composed of WSN and LEO satellites. This architecture has to handle links’ disruptions. In this study, the architecture relies on DTN. The main issue of this architecture is the routing within the whole network. The scenario we interest in is based on wildfires monitoring and detection.
Directional reception and verification of acoustic well logging data

A method of directional reception of acoustic well logging data is introduced.By controlling the phase of reception of each element,the received stacking energy is enhanced when the waveforms satisfy inphase stacking in certain direction.Using an aluminum model well,simu-lation on borehole acoustic well logging is carried out.Waveforms are processed with directional re-ception.The results show that both refracted and the reflected compression waves are significantly strengthened.
Next Generation Vehicles, Safety, and Cybersecurity—The CMX Framework

Safety, privacy, efficiency and cybersecurity (SPEC) properties are mandatory in vehicular networks. Owing to intrinsic limitations, the V2X framework and related communicating autonomous vehicles are inadequate. We explore the CMX framework (Coordinated Mobility for X = SPEC), Next Generation Vehicles (NGVs), and protocols for safety-critical inter-vehicle communications and agreements that solve problems left open in the V2X framework. Then, we focus on cyberattacks and physical attacks against isolated NGVs and cohorts of NGVs. The cyberphysical security analysis investigates more than 20 attacks and demonstrates that the goal set for CMX is verified. In the presence of attacks, safety is never compromised, possibly at the expense of diminished efficiency.
Analysis of Corona on Hybrid DC and AC Overhead Transmission Lines

This article is aimed at calculating the onset voltage of corona on ac and dc conductors of a hybrid transmission line along with corona current–voltage (<inline-formula> <tex-math notation="LaTeX">$I$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula>) characteristic of both the dc conductor operating separately or with ac conductor forming a hybrid line and the ac conductor with and without dc conductor. This makes it possible to calculate the corona power losses on ac and dc conductors. The charge simulation method is applied for evaluating the electric field anywhere around the conductors of the hybrid line and for tracing the field lines emanating from the dc conductor. The onset voltage of corona on the ac and dc conductors is calculated based on the condition of triggering burst- and Triclel-pulses for positive or negative corona. For an applied voltage above the corona onset voltage, the dc corona current is calculated by solving Poisson’s equation along with the current density, and its continuity equations through an iterative procedure conducted over the field lines emanating from the dc conductor. The ac contribution to the <inline-formula> <tex-math notation="LaTeX">$I$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> characteristic of the hybrid line is evaluated by calculating the energy required for space charge oscillation back and forth around the ac conductor per unit time. The presence of the ac conductor decreases the onset voltage of corona on the dc conductor. For any value of the applied dc voltage, the dc corona current increases with the increase of the applied ac voltage. The calculated onset voltage and the corona <inline-formula> <tex-math notation="LaTeX">$I$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$V$ </tex-math></inline-formula> characteristics on the hybrid line agreed reasonably with those measured experimentally.
L'aquifère karstique du moyen Atlas tabulaire : problème de la turbidité affectant les sources du complexe Ribaa-Bittit (Maroc)

L'aquifere liasique du Moyen Atlas tabulaire recele des ressources en eau considerables. La nappe est libre au niveau du Causse et devient captive au niveau de la plaine sous un recouvrement mio-plio-quatemaire. Au niveau du complexe Ribaa-Bittit, une partie des eaux du causse moyen atlasique debouche dans la plaine par l'intermediaire d'une dizaine de sources qui totalisent un debit d'environ 4 m3/s. Le regime et le fonctionnement hydraulique de ces resurgences ne sont pas bien connus. Le climat de la region est du type tempere en zone montagneuse (P = 1200 mm) et semi-aride dans la plaine (P = 400 mm) . Le regime des pluies est tres irregulier, ce qui se traduit par des fluctuations importantes des debits des sources . Les ressources en eau sont utilisees pour la satisfaction des besoins domestiques et agricoles. Les systemes d'irrigation utilises sont le plus souvent du type traditionnel, grand consommateur d'eau. La qualite chimique des eaux est en general tres bonne, avec un residu sec de l'ordre de 0.5 g/l et un facies bicarbonate magnesien a calcique, caracteristique des formations carbonatees. La permeabilite en grand des dolomies rend la nappe vulnerable a toute sorte de pollution. Deux sources sont captees pour l'alimentation en eau potable de la ville de Meknes (500 000 hbts), avec un debit de l'ordre de 0.8 m3/s. La turbidite de l'eau des sources devient excessive (plus de 200 NTU) apres les grandes averses, rendant l'eau impropre a la consommation. Une etude hydrogeologique d'ensemble portant sur le climat, la geologie, la geomorphologie, le regime des sources et le suivi de la qualite de l'eau a l'exutoire, a permis d'apprecier l'origine de cette turbidite.
The Impact of the FertiStrong Mobile Application on Anxiety and Depression in Men: A Randomised Control Pilot Study

Background: Male factor accounts for up to half of all cases of infertility. Previously, research has focused on the psychological effects of infertility on female partners, but recent studies show negative consequences on male patients as well. Despite evidence that men are affected by infertility, there is limited studies focusing on coping methods for them. Aims: Determine if a cognitive-behavioral and relaxation mobile application, targeted at men experiencing infertility, could lead to decreases in psychological distress. Settings and Design: Randomized controlled. Materials and Methods: Thirty-nine men participated in a randomized pilot study of the FertiStrong application. Participants completed a demographic form, the Hospital Anxiety and Depression Scale (HADS) and Fertility Problem Inventory (FPI) at baseline and one month follow-up. The intervention group downloaded the FertiStrong application and used it when needed. Control participants received routine infertility care. Statistical Analysis Used: Normally distributed data is presented as mean+/- SD; Differences in proportions were tested using Chi-square test and within group comparison were performed using paired t-test. Results: One participant was excluded, resulting in 38 participants, 19 in each group. There were no baseline differences in demographic characteristics (P>0.31). For the HADS anxiety domain, the control group had a small increase between baseline and follow up, while the intervention group had a small decrease. For the HADS depression domain, there was a slight increase in the controls. For the FPI, the control group had a two-point increase, from moderately stressed to extremely high while the intervention group had a five-point decrease, from extremely high to moderately high, but was not significant. Each FPI domain-specific score in the intervention group decreased and one, Rejection of Childfree lifestyle, was significant (P=0.03). The increase in stress level was significantly greater in the control group (P<0.02). Conclusion: Recruitment was challenging due to the short recruitment phase and the sample size was smaller than planned. However, there were several significant improvements noted in the intervention group and on all testing, the intervention group trended to less distress. More research is needed on convenient interventions for men experiencing infertility.
Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines

Wine is a relevant part of the diet in many countries, showing significant nutritional properties, providing health benefits to consumers, and having a significant weight in economy. Also, wine plays an important role in many cultures as a part of their social relationships, feasts, or religion where some of them may become a sign of luxury and distinction. For those reasons, objective and subjective quality of wines is an important issue in their production and marketing. To improve wine excellence, some production methods try to relate its physicochemical properties to the quality as it is perceived by humans. Then, modern data prescriptive analysis can be applied to measure the importance (the influence) of each wine attribute. This paper examines and compare several metrics of the attribute importance and its application to the quality-aware design and production of wines. Moreover, for the cases where the perceived quality is characterized using a discrete value, a novel importance metric, based on the Jensen-Shannon Divergence (JSD) is introduced and compared to the existing ones. The results show that JSD clearly overperforms other metrics previously proposed in the literature. Also, it can be asserted that JSD properly reflects the importance of discrete multivalued functions. The results, using this metric in an importance performance analysis of a public wine dataset, show that the main physicochemical attributes of a red wine are citric acidity, alcohol, sulphates and fixed acidity. As for the white wine case, the main attributes are alcohol, free sulfure dioxide and pH.
Title: The Automated Geospatial Watershed Assessment Tool

A toolkit for distributed hydrologic modeling at multiple scales using two independent models within a geographic information system is presented. This open-source, freely available software was developed through a collaborative endeavor involving two Universities and two government agencies. Called the Automated Geospatial Watershed Assessment tool (AGWA), this software is written for the ArcView GIS platform and is distributed as an extension via the Internet. AGWA uses commonly available GIS data layers to fully parameterize, execute, and visualize results from both the Soil and Water Assessment Tool (SWAT) and Kinematic Runoff and Erosion model (KINEROS2). These two distributed hydrologic models operate at different time scales and are suitable for application across a range of spatial scales. Descriptions of the GIS framework, hydrologic models, spatial analyses and algorithms that control the modeling process are given. Model requirements, limitations on the model applications and calibration techniques are described with examples of the use of AGWA for watershed modeling and assessment at a range of scales.
Epidemiology and characterization of Providencia stuartii isolated from hospitalized patients in southern Brazil: a possible emerging pathogen

This study aimed to characterize the virulence factors and antimicrobial resistance of Providencia stuartii , an opportunistic pathogen that causes human infections. We examined 45 isolates of P. stuartii both genotypically and phenotypically by studying their adherence to HeLa cells, biofilm formation, cytotoxicity and antimicrobial resistance, and analysed their genomes for putative virulence and resistance genes. This study found that most isolates possessed multiple virulence genes, including fimA, mrkA, fptA, iutA, ireA and hlyA, and were cytotoxic to Vero cells. All the isolates were resistant to amoxicillin plus clavulanic acid, levofloxacin and sulfamethoxazole plus trimethoprim, and most were resistant to ceftriaxone and cefepime. All isolates harboured extended-spectrum beta-lactamase coding genes such as bla CTX-M-2 and 23/45(51.11 %) of them also harboured bla CTX-M-9. The gene KPC-2 (carbapenemase) was detected in 8/45(17.77 %) isolates. This study also found clonality among the isolates, indicating the possible spread of the pathogen among patients at the hospital. These results have significant clinical and epidemiological implications and emphasize the importance of a continued understanding of the virulence and antimicrobial resistance of this pathogen for the prevention and treatment of future infections.
Development of a Novel H-Shaped Electrochemical Aptasensor for Detection of Hg2+ Based on Graphene Aerogels–Au Nanoparticles Composite

Hg2+, a highly toxic heavy metal, poses significant environmental and health risks, necessitating rapid detection methods. In this study, we employed an electrochemical aptasensor for rapid and sensitive detection of Hg2+ based on DNA strands (H2 and H3) immobilized graphene aerogels-Au nanoparticles (GAs-AuNPs) hybrid recognition interface and exonuclease III (Exo III)-mediated cyclic amplification. Firstly, Gas-AuNPs were modified on the surface of the ITO electrode to form a sensing interface to increase DNA loading and accelerate electron transfer. Then, DNA helper was generated with the addition of Hg2+ via Exo III-mediated cycling. Finally, the hairpin structures of H2 and H3 were opened with the DNA helper, and then the methylene blue (MB) functionalized DNA (A1 and A2) combined with the H2 and H3 to form an H-shaped structure. The current response of MB as an electrochemical probe was proportional to the concentration of Hg2+. Under optimal conditions, the aptasensor showed excellent performance for Hg2+, achieving a linear range from 1 fM to 10 nM and a detection limit of 0.16 fM. Furthermore, the aptasensor was used to detect Hg2+ in spiked milk samples, achieving a high recovery rate and demonstrating promising application prospects.