Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Parametric Dependence of Climate Feedbacks in the Atmospheric Component of CNRM‐CM6‐1

We sample 30 calibration parameters of the CNRM‐CM6‐1 atmospheric component to produce a perturbed parameter ensemble. An error score aggregating four annual‐averaged metrics is used here as an example to represent the model performance. We propose a method using statistical emulators of climatic fields and feedback parameters to produce model candidates spanning the maximal range of net feedback while minimizing the error score. Optimal candidates are found for a range of climate sensitivity chosen to span 3.8–10.1 K. The candidates show large errors in the extremes of the climate sensitivity range and none of them have better scores than the released version of CNRM‐CM6. However, 65% of the optimal candidates have errors within the inter‐model standard deviation of the seven models participating in the Cloud Feedback Model Intercomparison Project, spanning and ECS range of (4.14–7.22 K). These optimal calibrations will be used to assess feedback diversity in coupled experiments.
Vibrations of wind turbine blades in standstill: Mapping the influence of the inflow angles

The present investigation used numerical simulations to study the vibrations of a wind turbine blade in standstill. Such vibrations are presumed to affect horizontal axis wind turbine designs and can jeopardize the structural integrity of the machine. The applied numerical methods relied on a fluid–structure interaction (FSI) approach, coupling a computational fluid dynamics (CFD) solver with a multibody finite-element structural solver. A 96-m-long wind turbine blade was studied for a large parametric space, accounting for the variation of both pitch and inclination. The inclination was defined as the angle between the freestream velocity and the cross-sectional plane at the root, allowing for the introduction of a flow component in the spanwise direction. The pitch variation corresponded to the rotation of the inflow around the spanwise axis, steering the angles of attack seen by the airfoils. Two regimes of vibrations were characterized, depending on the considered range of the inclination angle. For high inclinations, the pitch angles leading to vibrations clustered around a particular region of the parametric space, and the appearance of large oscillations was accompanied by the synchronization of the loading with the frequency of motion. At low inclination angles, the mechanism triggering vibrations was relatively similar, even if the excitation spectrum was richer, and the critical pitch angles seemed to be more scattered. Regardless of the inflow, the problem was highly three-dimensional, and several complex flow phenomena such as oblique shedding and phase dislocations were identified.
European Stroke Organisation (ESO) guideline on screening for subclinical atrial fibrillation after stroke or transient ischaemic attack of undetermined origin

We aimed to provide practical recommendations for the screening of subclinical atrial fibrillation (AF) in patients with ischaemic stroke or transient ischaemic attack (TIA) of undetermined origin. These guidelines are based on the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Five relevant Population, Intervention, Comparator, Outcome questions were defined by a multidisciplinary module working group (MWG). Longer duration of cardiac rhythm monitoring increases the detection of subclinical AF, but the optimal monitoring length is yet to be defined. We advise longer monitoring to increase the rate of anticoagulation, but whether longer monitoring improves clinical outcomes needs to be addressed. AF detection does not differ from in- or out-patient ECG-monitoring with similar monitoring duration, so we consider it reasonable to initiate in-hospital monitoring as soon as possible and continue with outpatient monitoring for more than 48 h. Although insertable loop recorders (ILR) increase AF detection based on their longer monitoring duration, comparison with non-implantable ECG devices for similar monitoring time is lacking. We suggest the use of implantable devices, if feasible, for AF detection instead of non-implantable devices to increase the detection of subclinical AF. There is weak evidence of a useful role for blood, ECG and brain imaging biomarkers for the identification of patients at high risk of AF. In patients with patent foramen ovale, we found insufficient evidence from RCT, but prolonged cardiac monitoring in patients >55 years is advisable for subclinical AF detection. To conclude, in adult patients with ischaemic stroke or TIA of undetermined origin, we recommend longer duration of cardiac rhythm monitoring of more than 48 h and if feasible with IRL to increase the detection of subclinical AF.
Cognitive Functions Associated with Brain Imaging Markers in Patients with Psoriasis

Psoriasis is a severe inflammatory disease associated with a higher comorbidity of depression, cognitive dysfunction and brain atrophy. The association between psoriasis, magnetic resonance imaging (MRI) markers and cognitive impairment has rarely been investigated, and the existing results are conflicting. Methods. This study included 89 subjects (53 patients with psoriasis and 36 healthy controls). The severity of psoriasis was evaluated using the Psoriasis Area and Severity Index (PASI) score; for depression, the Hospital Anxiety and Depression Scale (HADS) scale was used. Neuropsychological tests were also applied, including a Trail Making Test (TMT) as well as Digit Span, Stroop, Verbal Fluency and Rey Auditory Verbal Learning tests. MRI scans were performed using a 1.5 T scanner. Brain volumetry, white matter lesions, grey matter and white matter were evaluated. The extent of these changes was assessed on the Fazekas scale. The differences between groups were evaluated using a Student’s t-test and a Mann-Whitney U test, and a Pearson correlation analysis was also performed. Results. Patients with psoriasis presented worse achievements on all the neuropsychological tests and showed more intense changes on MRI compared to healthy controls. The severity of psoriasis as determined by PASI scores was associated with depression, and a greater psychomotor slowness severity of changes in the brain was associated with poorer results on the neurological tests. Conclusions. Our results indicate the possibility of progressive brain atrophy related to cognitive decline in psoriasis.
Impact of Strong and Weak Stratospheric Polar Vortices on the Mesosphere and Lower Thermosphere

The impact of strong and weak Northern Hemisphere stratospheric polar vortices on the zonal mean and atmospheric tides in the mesosphere and lower thermosphere (MLT) is investigated using Specified Dynamics Whole Atmosphere Community Climate Model (WACCM) with thermosphere‐ionosphere eXtension (SD‐WACCM‐X) simulations and Aura Microwave Limb Sounder observations. The observed and simulated zonal mean anomalies during strong and weak vortices are in good agreement. Zonal mean and tidal anomalies during weak polar vortex events are consistent with those known to occur during sudden stratospheric warmings. Generally opposite, though weaker, anomalies are found to occur when the stratospheric polar vortex is strong. The most notable impact in the MLT is a reduction in the migrating semidiurnal tide of ∼25%–35% during strong polar vortex times. The results demonstrate that, in addition to weak polar vortex events, a strong stratospheric polar vortex can also have an appreciable impact on the middle and upper atmosphere.
Efficacy of Different Cold-Water Immersion Temperatures on Neuromotor Performance in Young Athletes

Cold-Water-Immersion (CWI) has been frequently used to accelerate muscle recovery and to improve performance after fatigue onset. In the present study, the aim was to investigate the effects of different CWI temperatures on neuromuscular activity on quadriceps after acute fatigue protocol. Thirty-six young athletes (16.9 ± 1.4 years-old; 72.1 ± 13.8 kg; 178.4 ± 7.2 cm) were divided into three groups: passive recovery group (PRG); CWI at 5 °C group (5G); and CWI at 10 °C group (10G). All participants performed a fatigue exercise protocol; afterwards, PRG performed a passive recovery (rest), while 5G and 10G were submitted to CWI by means of 5 °C and 10 °C temperatures during 10 min, respectively. Fatigue protocol was performed by knee extension at 40% of isometric peak force from maximal isometric voluntary contraction. Electromyography was used to evaluate neuromuscular performance. The passive recovery and CWI at 5 °C were associated with normalized isometric force and quadriceps activation amplitude from 15 until 120 min after exercise-induced fatigue (F = 7.169, p < 0.001). CWI at 5 °C and 10 °C showed higher muscle activation (F = 6.850, p < 0.001) and lower median frequency (MF) than passive recovery after 15 and 30 min of fatigue (F = 5.386, p < 0.001). For neuromuscular efficiency (NME) recovery, while PRG normalized NME values after 15 min, 5G and 10G exhibited these responses after 60 and 30 min (F = 4.330, p < 0.01), respectively. Passive recovery and CWI at 5 °C and 10 °C revealed similar effects in terms of recovery of muscle strength and NME, but ice interventions resulted in higher quadriceps activation recovery.
A High-Luminescence Biomimetic Nanosensor Based on N, S-GQDs-Embedded Zinc-Based Metal–Organic Framework@Molecularly Imprinted Polymer for Sensitive Detection of Octopamine in Fermented Foods

In this study, a novel fluorescent molecularly imprinted nanosensor (N, S-GQDs@ZIF-8@MIP) based on the nitrogen and sulfur co-doped graphene quantum dots decorated zeolitic imidazolate framework-8 was constructed for the detection of octopamine (OA). Herein, ZIF-8 with a large surface area was introduced as a supporter of the sensing system, which effectively shortened the response time of the sensor. Meanwhile, high green luminescent N, S-GQDs and a maximum emission wavelength of 520 nm under 460 nm excitation and a 12.5% quantum yield were modified on the surface of ZIF-8 as a signal tag that can convert the interactions between the sensor and OA into detectable fluorescent signals. Finally, N, S-GQDs@ZIF-8@MIP was acquired through the surface molecular imprinting method. Due to the synergy of N, S-GQDs, ZIF-8, and MIP, the obtained sensor not only demonstrated higher selectivity and sensitivity than N, S-GQDs@ZIF-8@NIP, but also displayed faster fluorescence response than N, S-GQDs@MIP. Under optimal conditions, the developed sensor presented a favorable linear relationship in the range of 0.1–10 mg L−1 with a detection limit of 0.062 mg L−1. Additionally, the proposed N, S-GQDs@ZIF-8@MIP strategy was effectively applied to the detection of OA in fermented samples, and the obtained results had a satisfactory correlation with those of HPLC.
Epidemiological characterization of HIV/AIDS in adolescents who live in a municipality from southern Brazil

Objetivo: Caracterizar o perfil epidemiológico dos casos de HIV/AIDS em adolescentes. Métodos: Estudo transversal, realizado com dados secundários do Sistema Nacional de Informação de Agravos de Notificação, de 2007 a 2019, de adolescentes residentes em um município no Sul do Brasil. Verificou-se por meio de análise descritiva e medidas de frequência variáveis demográficas, características de transmissão, infecções oportunistas e evolução dos casos. Resultados: Foram notificados 84 casos, com predomínio de idade entre 17 a 19 anos (92,8%); ensino médio completo/incompleto (50,0%); sexo masculino (73,8%) e raça branca (69,0%). Quanto à exposição ao HIV, 75,0% eram homens com relações homoafetivas declaradas. A incidência, por quadriênios, foi a seguinte: 14 casos, 26 casos e 41 casos, e em 2019, 3 casos. O coeficiente de mortalidade foi de 0,35/100.000 habitantes. Dos diagnósticos, 67,9% foram confirmados por teste rápido e 39,3% por exames laboratoriais. No momento do diagnóstico, 42,9% apresentavam AIDS. Os sinais clínicos de maior prevalência foram caquexia (10,7%), astenia (8,3%) e tosse persistente (7,1%). As infecções oportunistas mais presentes foram candidíase oral (6,7%), linfadenopatia (4,4%) e alterações no sistema nervoso central (4,4%). Conclusão: Evidencia-se a vulnerabilidade dos adolescentes e necessidade de intensificar políticas públicas para prevenção e diagnóstico precoce nessa faixa etária.
MicroRNA Profile of Human Small Intestinal Tumors Compared to Colorectal Tumors

Small intestinal tumors (adenoma and adenocarcinoma, SIT) are rare, and their microRNA (miRNA) expression profiles have not been established. Previously, we reported a relationship between miRNA expression profiles and the development, growth, morphology, and anticancer drug resistance of colorectal tumors. Here, we demonstrate that the miRNA expression profile of SIT is significantly different from those of tumors of the colon. We compared the onco-related miRNA expression profiles of SIT and colorectal tumors and found them to be different from each other. The expressions of miR-143 and miR-145 were frequently downregulated in SIT and colorectal tumors but not in sessile serrated adenoma/polyp tumors. The profiles of SIT and colorectal carcinomas of miR-7, miR-21, and miR-34a were considerably different. Upregulation of miR-31 expression was not found in any SIT cases. Our data suggested that miR-143 and miR-145 might act as anti-oncomirs common to adenocarcinoma of the small intestine, similar to those of colorectal adenoma and other cancers. However, the expression profiles of the other miRNAs of SIT were significantly different from those of colorectal tumors. These findings contribute useful insights into the tumor development and diagnosis of SIT.
Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice

ABSTRACT There is empirical evidence that decision makers show negative behaviours towards algorithmic advice compared to human advice, termed as algorithm aversion. Taking a trust theoretical perspective, this study broadens the quite monolithic view on behaviour to its cognitive antecedent: cognitive trust, i.e. trusting beliefs and trusting intentions. We examine initial trust (cognitive trust and behaviour) as well as its development after performance feedback by conducting an online experiment that asked participants to forecast the expected demand for a product. Advice accuracy was manipulated by ± 5 % relative to the participant’s initial forecasting accuracy determined in a pre-test. Results show that initial behaviour towards algorithmic advice is not influenced by cognitive trust. Furthermore, the decision maker’s initial forecasting accuracy indicates a threshold between near-perfect and bad advice. When advice accuracy is at this threshold, we observe behavioural algorithm appreciation, particularly due to higher trusting integrity beliefs in algorithmic advice.
Detection of pulmonary hypertension with six training strategies based on deep learning technology

Pulmonary hypertension (PH) is a progressive condition with high mortality. At present, the most accurate diagnosis method is invasive. However, noninvasive methods existed are inaccurate, and could not be used for continuous monitoring. The heart sound (HS) signals allow the earliest monitoring to diagnose a possible cardiovascular pathology. It has become an important tool for evaluating hemodynamic status of heart in outpatient monitoring. The primary aim of this study is to detect the PH disease using the HS signals. The authors develop and test a wavelet scattering convolution network (WSCN) based on long short term memory (LSTM) approach to detect the PH by using the HS signals. We conduct validation using 131 subjects through five cross‐validations. Six methods are used to test the different training strategies and models. We have validated our experiment based on subject dependent, subject independent, subject without segmentation, classification with feature extraction, classification without feature extraction, and classification by CNN and ensemble methods, respectively. Our best general model has a classification accuracy of 94.40%, which outperforms the previous best performance in terms of PH in the literature. The capability of the method is high as it is assessed by the five evaluation indicators, such as the accuracy, specificity, precision, sensitivity, and F1 score. Moreover, establishing the diagnosis with the WSCN+LSTM approach is less time cost. The WSCN based on the LSTM approach is developed to detect PH disease. The system for PH classification, allows for noninvasive assessment of a heart condition in suspect patients without many cost and without risk of invasive detection.
Effect of Cajanus cajan (L.) Supplementation on Growth, Nutrient Digestibility and Biochemical Indices of Giant Rat (Cricetomys gambianus Waterhouse, 1840)

The effects of Cajanus cajan on growth, nutrient digestibility and biochemical indices of 54 Giant rats were studied for 42 days department of zoology laboratory of University of Nigeria, Nsukka. The rats were divided randomly into six groups of 0%, 10%, 20%, 30%, 40% and 50% C. cajan diet respectively, with a total of 9 giant rats in each group. The diets contained protein, fibre, ash, fat and sugar /energy. Feed efficiency increased in the rats fed on 30% and 50% C. cajan. Crude protein digestibility decreased (P< 0.05) with increased levels of C. cajan . The values of plasma total protein, albumin, Albumin/ Globulin ratio, glucose, total cholesterol and urea nitrogen revealed non- significant changes among the groups that received different dietary treatments (P>0.5). The activities of small intestine trypsin of rats fed on diet 20% were higher than those of other diets, (p<0.05). The rats fed on 50% diet had the highest relative weight of stomach while the ones fed on 0% diet had also the highest relative weight of small intestinal contents and caecum. Inclusion of C. cajan also increased (P< 0.05) the relative weights of kidney, liver and carcass cut parts. This study recommend that C. cajan be included in growing giant rats diets up to 25% of the dry matter.
Predicting Risk for Comorbid Reading and Mathematics Disability Using Fluency–Based Screening Assessments

The first purpose of this study was to examine the prevalence of risk for comorbid reading and mathematics disabilities (RMD) at start of first grade, when measured in a representative sample of 3,062 students with first–grade fluency measures (word reading; computation). The second purpose was to examine the utility of these measures for predicting RMD status within a sample of 577 students when RMD status was assessed at the end of second grade in terms of reading and math accuracy. When set at or below the 16th percentile, first–grade risk for RMD was two times more common than chance; at or below the 7th percentile, it was five times more common. Logistic regression showed that the two first–grade fluency measures accurately distinguished students with and without RMD in second grade; however, when cut scores were set to capture 85% of students with RMD, false positives were high. Overall, the results provide support for the use of fluency measures as an initial gating procedure in first grade, but additional gating steps appear necessary in the screening process to reduce false positives.
Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems

Sparse Bayesian learning (SBL)-based channel state information (CSI) estimation schemes are developed for filter bank multicarrier (FBMC) systems using offset quadrature amplitude modulation (OQAM). Initially, an SBL-based channel estimation scheme is designed for a frequency-selective quasi-static single-input single-output (SISO)-FBMC system, relying on the interference approximation method (IAM). The IAM technique, although has low complexity, is only suitable for channels exhibiting mild frequency-selectivity. Hence, an alternative time-domain (TD) model based sparse channel estimation framework is developed for highly frequency-selective channels. Subsequently, the Kalman filtering (KF)-based IAM and its TD counterpart are developed for sparse doubly-selective CSI estimation in SISO-FBMC systems. These schemes are also extended to FBMC-based multiple-input multiple-output (MIMO) systems, for both quasi-static and doubly-selective channels, after demonstrating the special block and group-sparse structures of the IAM and TD-based models respectively, which are the characteristic features of such channels. The Bayesian Cramér-Rao lower bounds (BCRLBs) and the time-recursive BCRLBs are derived for the proposed quasi-static as well as doubly-selective sparse CSI estimation models, respectively. Our numerical results closely match the analytical findings, demonstrating the enhanced performance of the proposed schemes over the existing techniques.
RBC indices and morphological pattern of anemia in geriatric population: A cross-sectional study in Eastern India

Background: Geriatric anemia is one of the neglected and undiagnosed health problems throughout the world leading to increased morbidity and mortality among this vulnerable age group. Anemia in elderly is often an indicator of an underlying co-morbid condition. Morphological pattern of anemia may reflect the underlying etiology and thus directs the appropriate way to management of the condition. Aims: To evaluate the severity and morphological pattern of anemia in geriatric age groups. Materials and Methods: Elderly individuals aged 60 years or older of either sex with Hb level <12 gm/dl in women and <13 gm/dl in males were included in this study as geriatric anemic population. Blood samples were analyzed for Hb, hematocrit (Hct), Mean corpuscular volume (MCV), Mean corpuscular haemoglobin (MCH), Mean corpuscular haemoglobin concentration (MCHC) and Red cell distribution width (RDW-CV). Anemia was graded as mild, moderate and severe according to WHO criteria. Morphological classification was done based on RBC indices and peripheral blood smear examination. Statistical analysis was done using SPSS software. Results: Total 277 geriatric anemic subjects were included in this study. Female to male ratio was 1.9:1. Most of the participants (60.29%) were in the age group of 60-69 years. Majority had mild anemia (48.02%). Normocytic-normochromic was the most predominant morphological subtype (74.73%). Mean Hb, MCH and MCHC were found to be significantly lower in geriatric females compared to males (P < 0.05). Conclusion: Normocytic-normochromic anemia of mild degree was the most common type of anemia among geriatric population. Evaluation of morphological pattern of anemia may help in appropriate management of underlying condition.
Performance Of Rice Varieties And Nitrogen Levels Under Aerobic Condition In Eastern Terai

An experiment was conducted for two years (2016 – 2017) to evaluate the performance of rice varieties and nitrogen level under aerobic conditions in the Regional Agriculture Research Station, Tarahara, Sunsari Nepal. The treatments were two varieties of rice (Sukhkhadhan 3 and Sukhkhadhan 6) and five levels of Nitrogen (0, 30, 60, 90 and 120 kg/ha) which was assigned in a split-plot design with three replications. The varieties were treated as the main factor and nitrogen levels were assigned as a sub-plot factor. In both years, the plant height, number of tillers per meter square, panicle number per meter square, panicle length, filled grains, thousand grain weights were recorded. All the recorded values of these paremeters were remarkably same with the application of 120:30:30 N:P2O5:K2O kg/ha and application of 90:30:30 N:P2O5:K2O kg/ha. The grain yields of 3.47 t/ha (2016) and 4.77 t/ha (2017) and straw yields of 7.65 t/ha (2016) and 7.44 t/ha (2017) were recorded with the application of 120:30:30 N:P2O5:K2O kg/ha which found statistically at par with the application of 90:30:30 N:P2O5:K2O kg/ha in both years. Furthermore, grain yield of Sukhkhadhan 3 (3.46 t/ha) remained statistically similar with that of Sukhkhadhan 6 (3.38 t/ha).