Miracle-dz/UniFAR-FTUs huggingface dataset:
Pediatric Adrenal Insufficiency: Challenges and Solutions

Abstract Adrenal insufficiency is an insidious diagnosis that can be initially misdiagnosed as other life-threatening endocrine conditions, as well as sepsis, metabolic disorders, or cardiovascular disease. In newborns, cortisol deficiency causes delayed bile acid synthesis and transport maturation, determining prolonged cholestatic jaundice. Subclinical adrenal insufficiency is a particular challenge for a pediatric endocrinologist, representing the preclinical stage of acute adrenal insufficiency. Although often included in the extensive work-up of an unwell child, a single cortisol value is usually difficult to interpret; therefore, in most cases, a dynamic test is required for diagnosis to assess the hypothalamic-pituitary-adrenal axis. Stimulation tests using corticotropin analogs are recommended as first-line for diagnosis. All patients with adrenal insufficiency need long-term glucocorticoid replacement therapy, and oral hydrocortisone is the first-choice replacement treatment in pediatric. However, children that experience low cortisol concentrations and symptoms of cortisol insufficiency can take advantage using a modified release hydrocortisone formulation. The acute adrenal crisis is a life-threatening condition in all ages, treatment is effective if administered promptly, and it must not be delayed for any reason.
Frequency Effects on Spelling Error Recognition: An ERP Study

Spelling errors are ubiquitous in all writing systems. Most studies exploring spelling errors focused on the phonological plausibility of errors. However, unlike typical pseudohomophones, spelling errors occur in naturally produced written language with variable frequencies. We investigated the time course of recognition of the most frequent orthographic errors in Russian (error in an unstressed vowel at the root) and the effect of word frequency on this process. During ERP recording, 26 native Russian speakers silently read high-frequency correctly spelled words, low-frequency correctly spelled words, high-frequency words with errors, and low-frequency words with errors. The amplitude of P200 was more positive for correctly spelled words than for misspelled words and did not depend on the frequency of the words. Word frequency affected spelling recognition in the later stages of word processing (350–700 ms): high-frequency misspelled words elicited a greater P300 than high-frequency correctly spelled words, and low-frequency misspelled words elicited a greater N400 than low-frequency correctly spelled words. We observe spelling effects in the same time window for both the P300 and N400, which may reflect temporal overlap between mainly categorization processes based on orthographic properties for high-frequency words and phonological processes for low-frequency words. We concluded that two independent pathways can be active simultaneously during spelling recognition: one reflects mainly orthographic processing of high-frequency words and the other is the phonological processing of low-frequency words. Our findings suggest that these pathways are associated with different ERP components. Therefore, our results complement existing reading models and demonstrate that the neuronal underpinnings of spelling error recognition during reading depend on word frequency.
Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control

Objective: We show that state-of-the-art deep neural networks achieve superior results in regression-based multi-class proportional myoelectric hand prosthesis control than two common baseline approaches, and we analyze the neural network mapping to explain why this is the case. Methods: Feedforward neural networks and baseline systems are trained on an offline corpus of 11 able-bodied subjects and 4 prosthesis wearers, using the $R^2$ score as metric. Analysis is performed using diverse qualitative and quantitative approaches, followed by a rigorous evaluation. Results: Our best neural networks have at least three hidden layers with at least 128 neurons per layer; smaller architectures, as used by many prior studies, perform substantially worse. The key to good performance is to both optimally regress the target movement, and to suppress spurious movements. Due to the properties of the underlying data, this is impossible to achieve with linear methods, but can be attained with high exactness using sufficiently large neural networks. Conclusion: Neural networks perform significantly better than common linear approaches in the given task, in particular when sufficiently large architectures are used. This can be explained by salient properties of the underlying data, and by theoretical and experimental analysis of the neural network mapping. Significance: To the best of our knowledge, this work is the first one in the field which not only reports that large and deep neural networks are superior to existing architectures, but also explains this result.
Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog

Abstract. An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the Local and Non-local Fog Experiment (LANFEX) field campaign. Seven of the SCMs represent single-column equivalents of operational numerical weather prediction (NWP) models, whilst three are research-grade SCMs designed for fog simulation, and the LESs are designed to reproduce in the best manner currently possible the underlying physical processes governing fog formation. The LES model results are of variable quality and do not provide a consistent baseline against which to compare the NWP models, particularly under high aerosol or cloud droplet number concentration (CDNC) conditions. The main SCM bias appears to be toward the overdevelopment of fog, i.e. fog which is too thick, although the inter-model variability is large. In reality there is a subtle balance between water lost to the surface and water condensed into fog, and the ability of a model to accurately simulate this process strongly determines the quality of its forecast. Some NWP SCMs do not represent fundamental components of this process (e.g. cloud droplet sedimentation) and therefore are naturally hampered in their ability to deliver accurate simulations. Finally, we show that modelled fog development is as sensitive to the shape of the cloud droplet size distribution, a rarely studied or modified part of the microphysical parameterisation, as it is to the underlying aerosol or CDNC.
HIV Knowledge and Stigmatizing Attitude towards People Living with HIV/AIDS among Medical Students in Jordan

The stigmatizing attitude towards people living with HIV/AIDS (PLWHA) can be a major barrier to effective patient care. As future physicians, medical students represent a core group that should be targeted with focused knowledge and adequate training to provide patient care without prejudice. The aim of the current study was to examine HIV/AIDS knowledge, and the stigmatizing attitude towards PLWHA, among medical students in Jordan. The current study was based on a self-administered online questionnaire, which was distributed during March–May 2021, involving students at the six medical schools in Jordan, with items assessing demographics, HIV/AIDS knowledge, and HIV/AIDS stigmatizing attitude, which was evaluated using the validated HIV-stigma scale. The total number of respondents was 1362, with predominance of females (n = 780, 57.3%). Lack of HIV/AIDS knowledge among the study participants was notable for the following items: HIV transmission through breastfeeding (40.8% correct responses), HIV is not transmitted through saliva (42.6% correct responses), and vertical transmission of HIV can be prevented (48.8% correct responses). Approximately two-thirds of the respondents displayed a positive attitude towards PLWHA. For six out of the 14 HIV/AIDS knowledge items, lack of knowledge was significantly correlated with a more negative attitude towards PLWHA. Multinomial regression analysis showed that a significantly more negative attitude towards PLWHA was found among the pre-clinical students compared to the clinical students (odds ratio (OR): 0.65, 95% confidence interval (CI): 0.43–0.97, p = 0.036); and that affiliation to medical schools that were founded before 2000 was associated with a more positive attitude towards PLWHA compared to affiliation to recently founded medical schools in the country (OR: 1.85, 95% CI: 1.42–2.42, p < 0.001). About one-third of medical students who participated in the study displayed a negative attitude towards PLWHA. Defects in HIV/AIDS knowledge were detected for aspects involving HIV transmission and prevention, and such defects were correlated with a more negative attitude towards PLWHA. It is recommended to revise the current medical training curricula, and to tailor improvements in the overall HIV/AIDS knowledge, which can be reflected in a more positive attitude towards PLWHA, particularly for the recently established medical schools in the country.
Water-assisted controllable growth of atomically thin WTe2 nanoflakes by chemical vapor deposition based on precursor design and substrate engineering strategies

WTe2 nanostructures have intrigued much attention due to their unique properties, such as large non-saturating magnetoresistance, quantum spin Hall effect and topological surface state. However, the controllable growth of large-area atomically thin WTe2 nanostructures remains a significant challenge. In the present work, we demonstrate the controllable synthesis of 1T′ atomically thin WTe2 nanoflakes (NFs) by water-assisted ambient pressure chemical vapor deposition method based on precursor design and substrate engineering strategies. The introduction of water during the growth process can generate a new synthesized route by reacting with WO3 to form intermediate volatile metal oxyhydroxide. Using WO3 foil as the growth precursor can drastically enhance the uniformity of as-prepared large-area 1T′ WTe2 NFs compared to WO3 powders. Moreover, highly oriented WTe2 NFs with distinct orientations can be obtained by using a-plane and c-plane sapphire substrates, respectively. Corresponding precursor design and substrate engineering strategies are expected to be applicable to other low dimensional transition metal dichalcogenides, which are crucial for the design of novel electronic and optoelectronic devices.
Inflationary Rate in Nigeria: Impact of Foreign Capital Inflows

As the prices of daily needs are aggravating in Nigeria, the value of the country’s currency (naira) is less appreciated on a daily basis, and this pose a threat to a good standard of living in Nigeria. Therefore, this study investigated the impact of foreign capital inflows on the persistent increase in inflation in Nigeria over the period of 1985 to 2019. The Autoregressive Distributed Lags was used to obtain the parameter estimates of the long run relationship between foreign capital inflows and inflation. By using the Forecast Error Variance Decomposition techniques, the cause-effect analysis of foreign capital inflows and inflation was determined. Results provide evidence of a long run relationship between the series. Results further indicate that inflation is sensitive to foreign capital inflows variables such as net official development assistance received and remittance inflows in Nigeria. Policies that reduce the negative impact on inflation are recommended in the body of the paper.
Rapid response petrology for the opening eruptive phase of the 2021 Cumbre Vieja eruption, La Palma, Canary Islands

How and why magmatic systems reactivate and evolve is a critical question for monitoring and hazard mitigation efforts during initial response and ongoing volcanic crisis management. Here we report the first integrated petrological results and interpretation provided to monitoring authorities during the ongoing eruption of Cumbre Vieja, La Palma, Canary Islands, Spain. The first eruptive products comprised simultaneous Strombolian fountain-fed lava flows and tephra fall from near-continuous eruption plumes. From combined field, petrographic and geochemical analyses conducted in the 10 days following sample collection, we infer low percentage mantle melts with a variably equilibrated multimineralic crystal-cargo and compositional fractionation by winnowing during eruptive processes. Hence ‘rapid response’ petrology can untangle complex magmatic and volcanic processes for this eruption, which combined with further study and methodological improvement can increasingly assist in active decision making.
Kinematics analysis of the front kick with and without impact on traditional karate

Background & Study Aim: The traditional karate is a martial art that includes an application of many forms of kick in situations to combat sports, this way, involving different training methods to improve the technique of kicking. The objective of this study is the kinematics variables of the front kick of karate practitioners of traditional style in conditions with impact in a target and without impact. Material & Methods: Collected the anthropometrical data from 8 graduate male karateists athletes with brown and black belt (30.1 ± 10.2 years, body weight of 85.3 ± 16.2 kg and height of 178.9 ± 4.9 cm, time of medium training 13.7 ± 4.7 years). The assessment of kinematic of the kick was made by means of computed kinemetry, acquiring 3 sequences of front kick in conditions with and without impact with both sides of the individuals, being analysed in the Skillspector 1.3. 2 software. The statistical analysis was performed in the SPSS software. Results: In relation to the kinematics variables analysed the velocity of 5th metatarsus in the condition with impact and using the dominant member was significantly larger than the other conditions, as well as at the speed of the lateral malle olus in the condition with impact and utilizing the dominant member. In relation to the angle of the ankle joint the condition without impact presented better results, the knee joint the best results were seen in the condition without impact. Conclusions: Finally, the study concludes that the kicks conducted with impact by the dominant member has higher speed values, however the kicks without impact present better angular conditions to the technique of the kick. Therewith, recommends that it be prioritized in sports training traditional karate the application of kicks with the impact targets.
Activation of the brain during motor imagination task with auditory stimulation

Introduction Auditory stimulation is one of the most important influence factors in the cognitive process. It is an important guiding role in cognitive motor process. However, previous studies on auditory stimuli mainly focused on the cognitive effects of auditory stimuli on the cortex, while the role of auditory stimuli in motor imagery tasks is still unclear. Methods In order to explore the role of auditory stimuli in motor imagery tasks, we studied the EEG power spectrum distribution characteristics, frontal parietal mismatch negative (MMN) wave characteristics, and the Inter trial phase locking consistency (ITPC) characteristics of the prefrontal cognitive cortex and parietal motor cortex. In this study, 18 subjects were hired to complete the motor imagery tasks, induced by auditory stimuli of task related verbs and task independent nouns. Results EEG power spectrum analysis showed that the activity of the contralateral motor cortex was significantly increased under the stimulation of verbs, and the amplitude of mismatch negative wave was also significantly increased. ITPC is mainly concentrated in μ, α, and γ bands in the process of motor imagery task guided by the auditory stimulus of verbs, while it is mainly concentrated in the β band under the nouns stimulation. This difference may be due to the impact of auditory cognitive process on motor imagery. Discussion We speculate that there may be a more complex mechanism for the effect of auditory stimulation on the inter test phase lock consistency. When the stimulus sound has the corresponding meaning to the motor action, the parietal motor cortex may be more affected by the cognitive prefrontal cortex, thus changing its normal response mode. This mode change is due to the joint action of motor imagination, cognitive and auditory stimuli. This study provides new insight into the neural mechanism of motor imagery task guided by auditory stimuli, and provides more information on the activity characteristics of the brain network in motor imagery task by cognitive auditory stimulation.
Psychometric Properties of the Emotional Exhaustion Scale (ECE) in Chilean Higher Education Students

The main objective of this study was to estimate the psychometric properties of the Emotional Fatigue Scale (ECE) in a sample of 1308 Chilean university students and confirm the unifactorial structure of the scale. Exploratory and confirmatory factor analyses were carried out. The ECE assessment had an internal consistency of 0.893 (Cronbach’s Alpha). An exploratory factor analysis with Varimax rotation and a confirmatory analysis were performed, obtaining the factor that explains 52.3% of the variance. The results indicated that the ECE has adequate psychometric properties for use with higher education students in Chile. The ECE scale has good psychometric properties to be applied in the Chilean university context. Its usage may be very relevant to contribute to higher education institutions to emphasize students’ mental health and prevent possible severe pathologies in future professionals. It is suggested to use the ECE scale together with the EES-Int, which is the only interpretation table for this instrument.
Bioinspired Self-Shaping Clay Composites for Sustainable Development

Bioinspired self-shaping is an approach used to transform flat materials into unusual three-dimensional (3D) shapes by tailoring the internal architecture of the flat material. Bioinspiration and bioinspired materials have a high potential for fostering sustainable development, yet are often fashioned out of expensive and synthetic materials. In this work, we use bioinspiration to endow clay with self-shaping properties upon drying. The composites created are based on clay and starch, and the internal architecture is built using celery fibers. The viscosity, shrinkage, and bending of the architected composite monolayers are studied for several compositions by measuring penetration depth and using optical characterization methods. Bilayer structures inspired from plants are then processed using a simple hand layup process to achieve bending, twisting, and combinations of those after drying. By layering a mixture of 32 vol% clay, 25.8 vol% starch, and 42.2 vol% water with 40 wt% embedded aligned celery fibers, it is possible to obtain the desired shape change. The work presented here aims at providing a simple method for teaching the concept of bioinspiration, and for creating new materials using only clay and plant-based ingredients. Rejuvenating clay with endowed self-shaping properties could further expand its use. Furthermore, the materials, methods, and principles presented here are affordable, simple, largely applicable, and could be used for sustainable development in the domain of education as well as materials and structures.
The Risk Measurement under the Variance-Gamma Process with Drift Switching

The paper discusses an extension of the variance-gamma process with stochastic linear drift coefficient. It is assumed that the linear drift coefficient may switch to a different value at the exponentially distributed time. The size of the drift jump is supposed to have a multinomial distribution. We have obtained the distribution function, the probability density function and the lower partial expectation for the considered process in closed forms. The results are applied to the calculation of the value at risk and the expected shortfall of the investment portfolio in the related multivariate stochastic model.
Valproic acid and prolonged QT: highlights from the FDA Adverse Event Reporting System FAERS database

Several drugs can induce QT prolongation; however, the role of valproic acid played on the onset of this side effect has not been elucidated yet. Moreover, epilepsy itself represents a risk factor for the development of cardiovascular diseases; therefore, it is crucial to characterize the potential correlation between valproic acid and the occurrence of this cardiovascular complication. We performed a descriptive analysis on the U.S. Food and Drug Administration Adverse Event Reporting System database, retrieving all adverse event reports involving valproic acid as suspect drug. After deduplication and data cleaning, we selected all cases reporting valproic acid as unique suspect and we analyzed those reporting the adverse event of interest, identifi ed through the Standardized MedDRA Query “Torsade de pointes/QT prolongation”. Finally, we evaluated each case presenting other concomitant medications to explore potential drug-drug-interactions. Of 52,080 reports included in the analysis, 540 cases were referred to “Torsade de pointes/QT prolongation”. Loss of consciousness and syncope were the most reported events, included, respectively, in 241 (44.63%) and in 118 (21.85%) Individual Case Safety Reports. QT elongation and abnormal electrocardiogram QT interval are reported only in 26 (0.1%) cases, ventricular arrhythmia only in 2 cases and the development of torsade de pointes has been recorded just in 1 case. Sudden death has been reported in 20 (0.1%) cases. Our analysis revealed a very low number of cases reporting the adverse event of interest. The adverse event seems to be the consequence of multifactorial coexisting causes rather than imputable to the valproate alone.
C-AND: Mixed Writing Scheme for Disturb Reduction in 1T Ferroelectric FET Memory

Ferroelectric field effect transistor (FeFET) memory has shown the potential to meet the requirements of the growing need for fast, dense, low-power, and non-volatile memories. In this paper, we propose a memory architecture named crossed-AND (C-AND), in which each storage cell consists of a single ferroelectric transistor. The write operation is performed using different write schemes and different absolute voltages, to account for the asymmetric switching voltages of the FeFET. It enables writing an entire wordline in two consecutive cycles and prevents current and power through the channel of the transistor. During the read operation, the current and power are mostly sensed at a single selected device in each column. The read scheme additionally enables reading an entire word without read errors, even along long bitlines. Our Simulations demonstrate that, in comparison to the previously proposed AND architecture, the C-AND architecture diminishes read errors, reduces write disturbs, enables the usage of longer bitlines, and saves up to 2.92X in memory cell area.