Miracle-dz/UniFAR-FTUs huggingface dataset:
Computed Tomographic Evaluation of Cranial Suture Obliteration for Age Estimation in an Indian Population

Background: Age estimation is a critical aspect of human identification. Age is assessed using cranial suture obliteration, pelvic morphological changes, epiphyseal fusion of long bones, dental maturation, and other standard methods. Methods: The present study investigated three-dimensional (3D) computed tomography (CT) scans of 263 individuals (183 males and 80 females) to assess the extent of ectocranial suture closure. The assessment of obliteration was done using a three-stage scoring method. Spearman’s correlation coefficient (p < 0.05) was calculated to assess the relationship between cranial suture closure and chronological age. Simple and multiple linear regression models were developed using the cranial suture obliteration scores to estimate age. Results: The standard errors of the estimate using multiple linear regression models developed for estimating age using obliteration scores of sagittal, coronal, and lambdoid sutures were 15.08 years in males, 13.27 years in females, and 14.74 years in the total study population. Conclusion: This study concludes that in the absence of additional skeletal age markers, this method can be used alone or in conjunction with other well-established methods of age assessment.
Metagenomic insights into the plasma virome of Brazilian patients with prostate cancer

ABSTRACT Growing evidence suggests that metavirome changes could be associated increased risk for malignant cell transformation. Considering Viruses have been proposed as factors for prostate cancer induction. The objective of this study was to examine the composition of the plasma metavirome of patients with prostate cancer. Blood samples were obtained from 49 male patients with primary prostate adenocarcinoma. Thirty blood donors were included as a control group. The obtained next-generation sequencing data were analyzed using a bioinformatic pipeline for virus metagenomics. Viral reads with higher abundance were assembled in contigs and analyzed taxonomically. Viral agents of interest were also confirmed by qPCR. Anelloviruses and the Human Pegivirus-1 (HPgV-1) were the most abundant component of plasma metavirome. Clinically important viruses like hepatitis C virus (HCV), cytomegalovirus and human adenovirus type C were also identified. In comparison, the blood donor virome was exclusively composed of torque teno virus types (TTV) types. The performed HPgV-1 and HCV phylogeny revealed that these viruses belong to commonly detected in Brazil genotypes. Our study sheds light on the plasma viral abundance in patients with prostatic cancer. The obtained viral diversity allowed us to separate the patients and controls, probably suggesting that malignant processes may influence virome composition. More complex and multiple approach investigations are necessary to examine the likely causal relationship between metavirome and its nvolvement in prostate cancer.
IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG

Objective: The key principle of motor imagery (MI) decoding for electroencephalogram (EEG)-based Brain-Computer Interface (BCI) is to extract task-discriminative features from spectral, spatial, and temporal domains jointly and efficiently, whereas limited, noisy, and non-stationary EEG samples challenge the advanced design of decoding algorithms. Methods: Inspired by the concept of cross-frequency coupling and its correlation with different behavioral tasks, this paper proposes a lightweight Interactive Frequency Convolutional Neural Network (IFNet) to explore cross-frequency interactions for enhancing representation of MI characteristics. IFNet first extracts spectro-spatial features in low and high-frequency bands, respectively. Then the interplay between the two bands is learned using an element-wise addition operation followed by temporal average pooling. Combined with repeated trial augmentation as a regularizer, IFNet yields spectro-spatio-temporally robust features for the final MI classification. We conduct extensive experiments on two benchmark datasets: the BCI competition IV 2a (BCIC-IV-2a) dataset and the OpenBMI dataset. Results: Compared with state-of-the-art MI decoding algorithms, IFNet achieves significantly superior classification performance on both datasets while improving the winner’s result in BCIC-IV-2a by 11%. Moreover, by conducting sensitivity analysis on decision windows, we show IFNet attains the best trade-off between decoding speed and accuracy. Detailed analysis and visualization verify IFNet can capture the coupling across frequency bands along with the known MI signatures. Conclusion: We demonstrate the effectiveness and superiority of the proposed IFNet for MI decoding. Significance: This study suggests IFNet holds promise for rapid response and accurate control in MI-BCI applications.
Intraseasonal descriptors and extremes in South African rainfall. Part II: Summer teleconnections across multiple timescales

Extreme events contribute significantly to rainfall variability in semi‐arid regions like South Africa. Here, following the definition of a novel typology of rainfall extremes, disentangling large‐ and small‐scale events in Part I, we use quality‐controlled observational databases in South Africa, the ERA5 reanalysis and satellite estimates TRMM‐3B42 to examine the relationship between these two types of rainfall extremes and different modes of climate variability at various timescales. At low frequencies, rainfall extremes are assessed at interannual (IV: 2–8 years) and quasi‐decadal (QDV: 8–13 years) timescales, which are primarily associated with the El Niño–Southern Oscillation (ENSO) and the Interdecadal Pacific Oscillation (IPO), respectively. At subseasonal timescales, the typology of rainfall extremes is analysed depending on the synoptic configurations, as inferred by seven convective regimes including tropical temperate troughs (TTTs: 3–7 days), and the intraseasonal variability associated with the Madden–Julien Oscillation (MJO: 30–60 days). At the IV timescale, the occurrence of large‐scale extremes is substantially higher during its wet phases thereby suggesting a 400% rise in the occurrence of large‐scale extremes as compared to its dry phases. At the QDV timescale, variability mostly relates to the modulation of small‐scale extremes during its wet phases. Teleconnections with global sea surface temperature (SST) confirm that La Niña conditions favour overall wet conditions and extremes in South Africa. The numbers of large‐scale extremes are consistently related to warmer SSTs in the North Atlantic, while their link with warmer Indian and tropical South Atlantic oceans is found to be statistically independent of the state of ENSO. At the subseasonal timescales, large‐scale extremes largely occur during three out of the seven convective regimes identified in the southern African region whereas small‐scale extremes are nearly equiprobable during all convective regimes. The occurrence of large‐scale extremes during continent‐rooted TTT is further enhanced during the locally wet phases of the MJO and is symmetrically weakened during its dry phases.
Use of blood urea nitrogen concentration as an indicator of protein status in cattle

Measuring blood urea nitrogen (UN) concentration in ruminants has become a common technique for monitoring protein status both in livestock production research and the clinical environment. The technique is used world-wide and although there is a plethora of reports on values obtained under various conditions, caution should be given to interpretation of blood UN data due to the number of variables which can affect blood UN values. This is especially true when factors other than nutrition, such as health of the animal and physiological state or stage of production are involved. The advent of rapid and inexpensive automated analytical procedures, use of UN and other metabolic indicators is expected to continue in the future. Best use of this information can only be made with an understanding and consideration of the various factors that affect these metabolic parameters. The following is intended to be a useful overview of these factors and the practice of using blood UN concentration as an indicator of protein status in cattle.
Solving an apparel trim placement problem using a maximum cover problem approach

A trim placement problem from the apparel industry is presented and solved. The problem is related to cutting and packing problems, which have received attention in the literature for close to 40 years. The problem is motivated by a pants layout problem involving irregularly-shaped pieces. A two-stage strategy is commonly employed, with large pieces, or panels, arranged first, followed by smaller pieces, or trim. This paper assumes the panels have been arranged, and presents an approach for placing the trim pieces into unused “containers” of the stock material. Groups of trim pieces are first generated using existing polygon containment algorithms. Then, groups are assigned to containers to maximize a weighted function of the trim pieces. The mathematical programming formulation is developed, which is a generalization of the Maximum Cover Problem, a well-known problem in the location literature. Due to wide variability in branch and bound solution times, a Lagrangian Heuristic incorporating an improvement heuristic is developed. Computational experience demonstrates the effectiveness of the Lagrangian Heuristic on real pants markers. The optimal solution is found for all, and solution times are less than branch and bound in 10 out of 12 problem instances (considerably less in three), and only slightly more in the other two. Times are also less variable than branch and bound, an important characteristic with an interactive layout system.
Survey of Theory and Steering Laws of Single-Gimbal Control Moment Gyros

A geometric theory regarding singularity problems of single gimbal control moment gyrosystems is outlined. Most control moment gyrosystems have impassable and inescapable singular states that obstruct continuous changes of the total angular momentum vector. The remaining problem of the theory regarding degenerate singularity is described with an unproved conjecture. Based on the theory, various steering laws such as gradient methods and singularity robust methods for the pyramid-type control moment gyrosystem, and those for variable speed control moment gyros are surveyed and analyzed. Problems of the attitude control by these steering laws are examined by geometrical analyses without numerical simulation.
Prevalence, clinical characteristics and associated factors of cardiac cephalalgia: A prospective study

Background The prevalence of cardiac cephalalgia is unknown and there is limited information about its clinical features. We aimed to assess the prevalence of cardiac cephalalgia, its clinical characteristics and associated factors. Methods We conducted a prospective study of patients with suspected acute coronary syndrome admitted to the Cardiology Service at Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain, over a one-year period. We interviewed patients within the first 24 hours of admission using a standardized case-report form to assess the presence of headache in relation to the acute coronary syndrome and its characteristics. Results We included 438 patients, 381 with confirmed myocardial ischemia. Prevalence of cardiac cephalalgia was 14.2% (n = 54). The most common features were frontal location, pressing quality and moderate intensity. Pain referred to the jaws (aOR 2.61; 95% CI 1.33–5.12; p = 0.005), palpitations (aOR 3.65; 95% CI 1.57–8.50; p = 0.003) and circumflex coronary artery as the culprit artery for the myocardial ischemia (aOR 3.8; 95% CI 1.07–13.74; p = 0.021) were related to cardiac whereas history of hypertension was inversely associated (aOR 0.37: 95% CI 0.18–0.74; p = 0.005). Conclusion The prevalence of cardiac cephalalgia was 14.2%. Our study provides valuable information about cardiac cephalalgia characteristics that suggest revision of current diagnostic criteria.
Dynamic three-dimensional imaging with cubic-meter-level measurement volume using multi-scale band-limited illumination profilometry

Dynamic three-dimensional (3D) surface imaging using phase-shifting fringe projection profilometry is currently driven by industrial manufacturing, archaeological inspection, and entertainment. However, existing techniques cannot simultaneously provide the robustness in solving spatially isolated 3D objects, the tolerance of large variation in surface reflectance, and the flexibility of tunable working distances with a cubic meter (m3)-level measurement volume at video rate. To overcome these limitations, we have developed multi-scale band-limited illumination profilometry (MS-BLIP). MS-BLIP implements multi-frequency fringe projection with the associated phase unwrapping, which enables robust 3D imaging of spatially isolated objects. Meanwhile, MS-BLIP adopts dual-level intensity projection to enhance its dynamic range, which allows recovering 3D information from surfaces with large reflectance variation. Moreover, MS-BLIP applies a newly developed iterative method for distortion compensation, which improves the 3D reconstruction quality over a cubic-meter-level measurement volume. Finally, a dove prism is used to adjust the orientation of the field of view, which helps MS-BLIP fit different experimental scenarios. With a measurement volume of up to 1.5 m3 and a working distance of up to 2.8 m, MS-BLIP showcases the video-rate 3D surface imaging of full human-body movements.
Impact of Obesity on the IL-6 Immune Marker and Th17 Immune Cells in C57BL/6 Mice Models with Imiquimod-Induced Psoriasis

Obese psoriatic patients experience higher disease severity and exhibit poorer treatment responses and clinical outcomes. It has been proposed that proinflammatory cytokines produced by adipose tissue exacerbate psoriasis; however, the role of obesity in psoriasis remains unclear. This study aimed to elucidate the role of obesity in the pathogenesis of psoriasis, focusing on immunological changes. To induce obesity, mice were fed a high-fat diet for 20 weeks. We then applied imiquimod to the skin on a mouse’s back for seven consecutive days to induce psoriasis and scored lesion severity every day for seven days. Cytokine levels in serum and the Th17 cell population in the spleen and draining lymph nodes were studied to identify immunological differences. The clinical severity was more remarkable, and histologically the epidermis was also significantly thicker in the obese group. Increased levels of IL-6 and TNF-α were observed in serum after psoriasis. They were elevated to a greater degree, with greater expansion of the functional Th17 cell population in the obese group. It is concluded that obesity could exacerbate psoriasis through mechanisms that involve elevated proinflammatory cytokine secretion and an expanded Th17 cell population.
The Influence of Ultra-Low Tidal Volume Ventilation during Cardiopulmonary Resuscitation on Renal and Hepatic End-Organ Damage in a Porcine Model

The optimal ventilation strategy during cardiopulmonary resuscitation (CPR) has eluded scientists for years. This porcine study aims to validate the hypothesis that ultra-low tidal volume ventilation (tidal volume 2–3 mL kg−1; ULTVV) minimizes renal and hepatic end-organ damage when compared to standard intermittent positive pressure ventilation (tidal volume 8–10 mL kg−1; IPPV) during CPR. After induced ventricular fibrillation, the animals were ventilated using an established CPR protocol. Upon return of spontaneous circulation (ROSC), the follow-up was 20 h. After sacrifice, kidney and liver samples were harvested and analyzed histopathologically using an Endothelial, Glomerular, Tubular, and Interstitial (EGTI) scoring system for the kidney and a newly developed scoring system for the liver. Of 69 animals, 5 in the IPPV group and 6 in the ULTVV group achieved sustained ROSC and were enlisted, while 4 served as the sham group. Creatinine clearance was significantly lower in the IPPV-group than in the sham group (p < 0.001). The total EGTI score was significantly higher for ULTVV than for the sham group (p = 0.038). Aminotransferase levels and liver score showed no significant difference between the intervention groups. ULTVV may be advantageous when compared to standard ventilation during CPR in the short-term ROSC follow-up period.
Phenotypic correlates of serum neurofilament light chain levels in amyotrophic lateral sclerosis

Objective To investigate the relationship between serum levels of the neuroaxonal degeneration biomarker neurofilament light chain (NFL) and phenotype in ALS. Materials and methods Serum NFL (sNFL) concentration was quantified in 209 ALS patients and 46 neurologically healthy controls (NHCs). Results sNFL was clearly increased in ALS patients and discriminated them from NHCs with AUC = 0.9694. Among ALS patients, females had higher sNFL levels, especially in case of bulbar onset. sNFL was more increased in phenotypes with both upper (UMN) and lower motor neuron (LMN) signs, and particularly in those with UMN predominance, compared to LMN forms. At the same time, primary lateral sclerosis (PLS) had significantly lower levels compared to UMN-predominant ALS (AUC = 0.7667). sNFL correlated negatively with disease duration at sampling and ALSFRS-R score, positively with disease progression rate, differed among King’s stages, and was negatively associated with survival. It also correlated with clinical/neurophysiological indices of UMN and LMN dysfunction (Penn UMN Score, LMN score, MRC composite score, active spinal denervation score). On the contrary, sNFL was not associated with cognitive deficits nor with respiratory parameters. Notably, we found a negative correlation between sNFL and estimated glomerular filtration rate (eGFR). Interpretation We confirm that ALS is characterized by increased sNFL levels, whose main determinant is the rate of degeneration of both UMNs and LMNs. sNFL is a biomarker of only motor, not of extra-motor, disease. The negative correlation with kidney function might reflect varying renal clearance of the molecule and deserves further investigation before introducing sNFL measurement as routine test in clinical care of ALS patients.
Cloud-Resolving Ensemble Simulations of Mediterranean Heavy Precipitating Events: Uncertainty on Initial Conditions and Lateral Boundary Conditions

Abstract This study assesses the impact of uncertainty on convective-scale initial conditions (ICs) and the uncertainty on lateral boundary conditions (LBCs) in cloud-resolving simulations with the Application of Research to Operations at Mesoscale (AROME) model. Special attention is paid to Mediterranean heavy precipitating events (HPEs). The goal is achieved by comparing high-resolution ensembles generated by different methods. First, an ensemble data assimilation technique has been used for assimilation of perturbed observations to generate different convective-scale ICs. Second, three ensembles used LBCs prescribed by the members of a global short-range ensemble prediction system (EPS). All ensembles obtained were then evaluated over 31- and/or 18-day periods, and on 2 specific case studies of HPEs. The ensembles are underdispersive, but both the probabilistic evaluation of their overall performance and the two case studies confirm that they can provide useful probabilistic information for the HPEs co.
The size distribution of raindrops

Experimental data relating to drop size distribution in rain are examined and it is shown that in many cases the size distribution is in accordance with the following formulae 1 - F = exp [-(x/a)n] a = A IpW = C Ir where F = fraction of liquid water in the air comprised by drops with diameter less than x. I = rate of precipitation. W = amount of liquid water per unit volume of air. A, C, p, r and n are constants. If × is measured in mm, I in mm/hr and W in mm3/m3 the mean values of A, C, p, r and n are 1.30, 67, 0.232, 0.846 and 2.25 respectively. There may be appreciable variations from these mean values, particularly in the case of n, if the precipitation is essentially of a showery or orographic nature. Tables based on these formulae are given showing values of W and of the number and total volume of drops between certain diameter limits for various rates of rainfall.
Awareness of Placental Pathologic Examination Criteria and Utilization of Pathology Reports among Obstetricians

Background and Objectives: Several studies have reported a low rate of pathological examination of the placentas and a poor utilization of pathology reports. We assessed Saudi obstetricians’ awareness and utilization of the placental pathological examination guidelines of the College of American Pathologists (CAP) and evaluated their understanding of the reports. Materials and Methods: An anonymous survey was distributed to obstetricians registered in the Saudi Commission of Health Specialties database. We examined the association between the participants’ level of training or practice as well as their institution type with the surveyed elements. Results: Of 292 respondents, 34.2% were aware of the CAP guidelines. Most of them were practicing in government hospitals. Moreover, 18.2% of them routinely sent the placenta for pathological examination, and approximately 70.5% routinely reviewed the pathology reports and understood the nomenclature used; these percentages were significantly higher among university hospital practitioners. The residents were the least aware of the CAP guidelines and the least likely to review and understand the pathology reports. Regardless of the CAP guidelines awareness, the most common indication for placental pathologic examination was fetal anomalies, followed by medicolegal reasons and infections. Conclusions: Placental pathologic examination appeared uniformly underutilized in Saudi Arabia. Obstetricians are required to generate awareness of the need to comply with the CAP guidelines and to improve the understanding and utilization of pathology reports.
Enhancement of Second-Harmonic Generation by Helicoidal Distributed Feedback Action in a Ferroelectric Smectic C* Liquid Crystal Using Two Counter-Propagating Fundamental Waves

A remarkable enhancement was observed in the second-harmonic generation (SHG) from the helicoidal structure of a ferroelectric smectic C* liquid crystal, when two counter-propagating fundamental waves generate SH light with the same wavelength as the optical pitch of the helicoid. This enhanced signal based on a helicoidal distributed feedback action is proportional to the fourth power of the sample thickness in thick cells, and becomes larger compared with the conventional phase-matched SHG signal in relatively thick samples, i.e., 100 µm.