Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence of spinal cord injuries in Constanta County (Romania) between 2017-2021

Background: The purpose of this study was to investigated cases of spinal cord injury (SCI) during the years 2017-2021, in Constanta County (Romania) to update the data on SCI and thus identify the SCI trends in this region of Romania. Methods: The study retrospectively analysed patients with SCI in Constanța County, whose data (medical records) were provided to us by the Romania Motivation Foundation. This analysis was made for the period January 1, 2017 - August 31, 2021. Results: Ninety-six new traumatic cases of SCI were reported between 2017 and 2021 in Constanța County. It was found that the annual incidence is 2.48 per hundred thousand inhabitants. The male / female ratio was 5:1 and the mean age at injury was 33.52 ± 15.1 (33.41 ± 14.80 for men and 33.92 ± 16.01 for women). The most common cause of injury was unintentional fall (48.95%), followed by road accidents (39.58%), stab wounds (4.16%), gunshot wounds (3.12%) and injuries caused by diving 2.08%). Fifteen patients (15.62%) were quadriplegic, and 81 patients (84.37%) were paraplegic. The most common level of lesions was C4 (33.33%) in tetraplegics and T12 (25.92%) in paraplegics. The most common associated injury was head trauma (15.8%), followed by limb fractures (9.5%). The incidence rate of SCI in Constanta County increased (p <0.05) and the highest increase in the incidence of spinal cord injuries was observed among patients in the age groups 29 - 49 years. Conclusions: Due to the existence of limitations, it is difficult to obtain accurate epidemiological data for SCI. Therefore, more studies are needed to provide a large amount of data and evidence. Our data indicate the need to take measures both for prevention and to provide specialized care for this type of traumatic pathology.
Study on branch module characteristics of Artemisia ordosica and Artemisia arenaria

The branch module characteristics of Artemisia ordosica and A.arenaria were studied.The result showed that the branching angles of most branches of A.ordosica and A.arenaria were big,which could be grouped into medium-class of branching angle(the branching angle ranges from 50° to 70°). The stretch of branches showed a weakening tendency from third-grade to first-grade branches,it suggested that the branches from thirdgrade to first-grade were gradually becoming short.The branches of different grades of A.ordosica were longer than that of A.arenaria;the branch-stem ratio and the stepwise bifurcation ratio of both A.ordosica and A.arenaria showed an increasing tendency.The ratio of branches diameters of different grades of A.ordosica was bigger than that of A.arenaria;and the stepwise bifurcation ratio of A.ordosica was lower than that of A.arenaria.
Stochastic Analysis of Gaussian Processes via Fredholm Representation

We show that every separable Gaussian process with integrable variance function admits a Fredholm representation with respect to a Brownian motion. We extend the Fredholm representation to a transfer principle and develop stochastic analysis by using it. We show the convenience of the Fredholm representation by giving applications to equivalence in law, bridges, series expansions, stochastic differential equations and maximum likelihood estimations.
Intellectual Characteristics in Children With Congenital Unilateral Upper Limb Deficiencies

Introduction Some children with motor disabilities show low cognitive levels. However, the influence of motor disabilities on children’s intelligence remains to be fully elucidated. This study aimed to clarify the intellectual characteristics of children with upper limb deficiencies and the influence of upper limb impairments on intelligence. Methods The participants were 10 children from four to six years of age with congenital unilateral transradial or transcarpal limb deficiencies who received prosthetic interventions. The children’s intelligence and adaptive behaviors, including motor skills, were examined using the Wechsler Preschool and Primary Scale of Intelligence and the Vineland Adaptive Behavior Scale, respectively. Results There were no significant characteristics or discrepancies in cognitive level in children with upper limb deficiencies. The Adaptive Behavior Composite Score of the Vineland Adaptive Behavior Scale was significantly positively correlated with the Full-Scale Intelligence Quotient of the Wechsler Preschool and Primary Scale of Intelligence. Conclusions The children with congenital limb deficiencies showed average cognitive levels. Expansion of adaptive behaviors, including appropriate complementation of disabilities, may promote intellectual development in children with motor disabilities.
Progress and Prospective of the Industrial Development and Applications of Eco-Friendly Colorants: An Insight into Environmental Impact and Sustainability Issues

Color is the prime feature directly associated with the consumer’s attraction and choice of their food. The flavor, safety, and nutritional value of any food product are directly associated with the food color. Natural and synthetic colorants (dyes and pigments) have diversified applications in various sectors such as food, feed, pharmaceutical, textiles, cosmetics, and others. Concerning the food industry, different types of natural and synthetic colorants are available in the market. Synthetic food colorants have gained popularity as they are highly stable and cheaply available. Consumers worldwide prefer delightful foodstuffs but are more concerned about the safety of the food. After its disposal, the colloidal particles present in the synthetic colorants do not allow sunlight to penetrate aquatic bodies. This causes a foul smell and turbidity formation and gives a bad appearance. Furthermore, different studies carried out previously have presented the toxicological, carcinogenic effects, hypersensitivity reactions, and behavioral changes linked to the usage of synthetic colorants. Natural food colorings, however, have nutraceutical qualities that are valuable to human health such as curcumin extracted from turmeric and beta-carotene extracted from carrots. In addition, natural colorants have beneficial properties such as excellent antioxidant properties, antimutagenic, anti-inflammatory, antineoplastic, and antiarthritic effects. This review summarizes the sources of natural and synthetic colorants, their production rate, demand, extraction, and characterization of food colorants, their industrial applications, environmental impact, challenges in the sustainable utilization of natural colorants, and their prospects.
On the critical values of Hecke L-series

L’accès aux archives de la revue « Mémoires de la S. M. F. » ( http://smf. emath.fr/Publications/Memoires/Presentation.html), implique l’accord avec les conditions générales d’utilisation ( http://www.numdam.org/legal.php). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Assessment of Slope Stability using Classification and Regression Algorithms Subjected to Internal and External Factors

this study aims at developing a machine learning based classification and regression-based models for slope stability analysis. 1140 different cases have been analysed using the Morgenstern price method in geoSlope for non-homogeneous cohesive slopes as input for classification and regression-based models. Slope failures presents a serious challenge across many countries of the world. understanding the various factors responsible for slope failure is very crucial in mitigating this problem. therefore, different parameters which may be responsible for failure of slope are considered in this study. 9 different parameters (cohesion, specific gravity, slope angle, thickness of layers, internal angle of friction, saturation condition, wind and rain, blasting conditions and cloud burst conditions) have been identified for the purpose of this study including internal, external and factors representing the geometry of the slope has been included. Four different classification algorithms namely random Forest, logistic regression, Support vector Machine (SvM), and K nearest neighbor (Knn) has been modelled and their performances have been evaluated on several performance metrics. A similar comparison based on performance indices has been made among three different regression models decision tree, random forest, and Xgboost regression.
Clinical Efficacy and Safety of an Immune Checkpoint Inhibitor in Combination with Regorafenib Therapy as Second-Line Regimen for Patients with Unresectable Hepatocellular Carcinoma

Purpose This study aimed to evaluate the safety and efficacy of a combination of programmed death-1 (PD-1) inhibitor and regorafenib as second-line treatment for advanced hepatocellular carcinoma (HCC). Patients and Methods We retrospectively analyzed the data of 38 patients with unresectable HCC who were treated with PD-1 inhibitor in combination with regorafenib as a second⁃line therapy as well as the data of 32 patients treated with regorafenib only therapy as a control. The clinical data, previous treatment strategies, follow-up imaging results, and adverse events during follow-ups were recorded. The mRECIST Criteria were used to evaluate the treatment outcome of intrahepatic lesions, and the Kaplan–Meier method was used to evaluate survival time. Results Up to the last follow-up, the rego-PD-1 group had higher objective response rate (39.5% vs 15.6%, P = 0.028), longer progression-free survival (median 5.9 vs 4.6 months; P = 0.044), and better overall survival (OS) (median 14.5 vs 9.5 months; P = 0.041) than the regorafenib only group. Among the 38 patients in rego-PD-1 group, 1 patient (2.7%) achieved complete response, 14 patients (36.8%) achieved partial response, 14 patients (36.8%) achieved stable disease, and 9 patients (23.7%) achieved progressive disease. Among the 32 patients in regorafenib alone, 5 (15.6%) achieved partial response, 12 (37.5%) achieved stable disease, and 15 (46.9%) achieved progressive disease. Regorafenib alone, Child–Pugh B, and tumors >3 were independent prognostic factors for poor OS. The difference in the incidence of grade 3/4 adverse events between the two groups was not statistically significant (36.8% vs 28.1%; P = 0.439). Grade ≥3 treatment-related adverse events included hypertension and diarrhea. Conclusion PD-1 inhibitor combined with regorafenib is a promising regimen in treating patients with unresectable HCC owing to its safety and effectiveness as well as low incidence of serious adverse events with its use.
Safflower Flavonoid 3′5′Hydroxylase Promotes Methyl Jasmonate-Induced Anthocyanin Accumulation in Transgenic Plants

Flavonoids are the most abundant class of secondary metabolites that are ubiquitously involved in plant development and resistance to biotic and abiotic stresses. Flavonoid biosynthesis involves multiple channels of orchestrated molecular regulatory factors. Methyl jasmonate (MeJA) has been demonstrated to enhance flavonoid accumulation in numerous plant species; however, the underlying molecular mechanism of MeJA-induced flavonoid biosynthesis in safflower is still not evident. In the present study, we revealed the underlying molecular basis of a putative F3′5′H gene from safflower imparting MeJA-induced flavonoid accumulation in transgenic plants. The constitutive expression of the CtF3′5′H1 gene was validated at different flowering stages, indicating their diverse transcriptional regulation through flower development in safflower. Similarly, the CtF3′5′H1-overexpressed Arabidopsis plants exhibit a higher expression level, with significantly increased anthocyanins and flavonoid content, but less proanthocyanidins than wild-type plants. In addition, transgenic plants treated with exogenous MeJA revealed the up-regulation of CtF3′5′H1 expression over different time points with significantly enhanced anthocyanin and flavonoid content as confirmed by HPLC analysis. Moreover, CtF3′5′H1- overexpressed Arabidopsis plants under methyl violet and UV-B irradiation also indicated significant increase in the expression level of CtF3′5′H1 with improved anthocyanin and flavonoid content, respectively. Noticeably, the virus-induced gene silencing (VIGS) assay of CtF3′5′H1 in safflower leaves also confirmed reduced anthocyanin accumulation. However, the CtF3′5′H1 suppression in safflower leaves under MeJA elicitation demonstrated significant increase in total flavonoid content. Together, our findings confirmed that CtF3′5′H1 is likely mediating methyl jasmonate-induced flavonoid biosynthesis in transgenic plants via enhanced anthocyanin accumulation.
Random packing of an interval. II

We showed in [2] that if an object of initial size x (x large) is subjected to a succession of random partitions, then the object is decomposed into a large number of terminal cells, each of relatively small size, where if Z(x, B) denotes the number of such cells whose sizes are points in the set B, then there exists c, (0 < ≦ 1), such that Z(x, B)x −c converges in probability, as x → ∞, to a random variable W. We show here that if a parent object of size x produces k offspring of sizes y 1, y 2, ···, y k and if for each k x - y 1 - y 2 - ··· - y k (the ‘waste’ or the ‘cover’, depending on the point of view) is relatively small, then for each n the nth cumulant, Ψ n (x, B), of Z(x, B) satisfies Ψ n (x, B)x -c → κ n (B), as x → ∞, for some κ n (B). Thus, writing N = x c , Z(x, B) has approximately the same distribution as the sum of N independent and identically distributed random variables (The determination of the distribution of the individual appears to be a difficult problem.) The theory also applies when an object of moderate size is broken down into very fine particles or granules.
Semi-Automated Quality Assurance of Deformable Image Registration

This interdisciplinary project plans to implement big data resources from CERN to provide a method for semi-automated quality assurance of patient registration. The study used computed tomography scans and spinal canal contours of 90 head-and-neck cancer patients from the publicly listed Centuximab collection. Inter-patient deformable registrations were performed on this cohort to produce a bank of 876 registrations each labelled with two contour validation metrics: the Dice similarity coefficient and the Hausdorff distance. The deformable vector field of each registration was used in combination with patient data to train two 3D convolutional neural networks to predict each contour validation metric. A workflow for this novel method and its initial test results are presented. Access to CERN's multiple-site grid computing resources will allow the increase in the registration dataset by an order of magnitude and the training and testing of deeper network architectures.
Price Discrimination in International Airline Markets

We develop a model of inter-temporal and intra-temporal price discrimination by monopoly airlines to study the ability of different discriminatory pricing mechanisms to increase efficiency and the associated distributional implications. To estimate the model, we use unique data from international airline markets with flight-level variation in prices across time, cabins, and markets and information on passengers’ reasons for travel and time of purchase. The current pricing practice yields approximately 77% of the first-best welfare. The source of this inefficiency arises primarily from private information about passenger valuations, not dynamic uncertainty about demand. We also find that if airlines could discriminate between business and leisure passengers, total welfare would improve at the expense of business passenger surplus. Also, replacing the current pricing that involves screening passengers across cabin classes with offering a single cabin class has minimal effect on total welfare.
Genetic Analysis of Multiple Primary Malignant Tumors in Women with Breast and Ovarian Cancer

Familial cancer syndromes, which are commonly caused by germline mutations in oncogenes and tumor suppressor genes, are generally considered to be the cause of primary multiple malignant neoplasias (PMMNs). Using targeted genomic sequencing, we screened for eight germline mutations: BRCA1 185delAG, BRCA1 T300G, BRCA1 2080delA, BRCA1 4153delA, BRCA1 5382insC, BRCA2 6174delT, CHEK2 1100delC, and BLM C1642T, which provoke the majority of cases of hereditary breast and ovary cancer syndrome (HBOC), in genomic (blood) DNA from 60 women with PMMNs, including breast (BC) and/or ovarian cancer(s) (OC). Pathogenic allelic forms were discovered in nine samples: in seven instances, it was BRCA1 5382insC, and in the following two, BRCA1 4153delA and BRCA1 T300G. The age of onset in these patients (46.8 years) was younger than in the general Russian population (61.0) for BC but was not for OC: 58.3 and 59.4, correspondingly. There were invasive breast carcinomas of no special type and invasive serous ovarian carcinomas in all cases. Two or more tumors of HBOC-spectrum were only in five out of nine families of mutation carriers. Nevertheless, every mutation carrier has relatives who have developed malignant tumors.
The Gaia Astrometry Mission: Status after CDR Completion

Gaia is an ESA science cornerstone mission, which relies on the proven principles of ESA's Hipparcos mission to solve one of the most difficult yet deeply fundamental challenges in modern astronomy: to create an extraordinarily precise three-dimensional map of about one billion stars aiming at star magnitudes down to 20 throughout our Galaxy and beyond. In the process, it will map the motion of the stars, which encodes the origin and subsequent evolution of the Galaxy. Through comprehensive photometric classification, it will provide the detailed physical properties of each star observed: characterizing their luminosity, temperature, gravity, and elemental composition. This massive stellar census will provide the basic observational data to tackle an enormous range of important problems related to the origin, structure, and evolutionary history of our Galaxy. To achieve Gaia’s challenging mission goals, the spacecraft contain a number of novel design solutions. Astrium SAS in Toulouse has been awarded the contract to build the Gaia spacecraft in Spring 2006. Since then the program has successfully completed the design and development phase and is now in the integration and verification phase of the flight model. This paper describes the Gaia mission, focusing on the main spacecraft design features as well as on the status of the Gaia mission.
Antigingivitis, Desensitizing, and Antiplaque Effects of Alkaline Toothpastes: A Randomized Clinical Trial

Gingivitis is a widespread disease commonly associated with dentin hypersensitivity, that, in turn, may complicate routine dental care, leading to plaque accumulation. We aimed to assess the antigingivitis, desensitizing, and antiplaque effects of a fluoride-containing (TWF) alkaline toothpaste and a fluoride-free (TW) alkaline toothpaste. Eighty-four consenting patients aged 20–25 years with diagnosed gingivitis and dentin hypersensitivity (DH) were recruited in this double-blind, parallel-group study and randomly divided into two groups (each n = 42). Eighty-two patients completed the entire study protocol. The outcomes were assessed after 4 weeks of intervention. A significant improvement in gingival condition was found according to the modified gingival index, with effect sizes of 0.99 [CI95%: 0.52–1.46] and 1.71 [CI95%: 1.18–2.24], and the gingival bleeding index, with effect sizes of 3.17 [CI95%: 2.39–3.94] and 2.64 [CI95%: 1.96–3.32] in the TW and TWF groups, respectively. DH also decreased in both groups, with a significantly greater reduction in the TWF group (effect sizes of 3.28 [CI95%: 2.51–4.04] and 3.10 [CI95%: 2.40–3.80] according to the visual analog scale and Schiff scale, respectively). No side effects were registered. In conclusion, the use of alkaline toothpaste provided a significant reduction in gingival inflammation and bleeding, DH, and oral hygiene after 4 weeks of daily use in young adults. Trial Registration: NCT0562376. Funding: none.
STRENGTHENING NUTRITION-SENSITIVE AGRICULTURE THROUGH BIO FORTIFICATION : INTRODUCING A COMPREHENSIVE FRAMEWORK BASED ON FINDINGS FROM A CANADIAN / ETHIOPIAN PROJECT

This paper examines the links between agriculture and nutrition as it seeks to address food and nutrition security in Southern Ethiopia. It draws on data from field research supported by the Canadian International Food Security Research Fund, through the International Development Research Center/Global Affairs Canada. The review aims to introduce a comprehensive framework linking pulse food productivity, bioavailability of micronutrients from pulses through household level processing, nutrition education, and marketing, and their leverage on nutrition security. The development of the framework and subsequent discussion are based on key findings of selected analysis of research conducted in two large pulse producing regions of Ethiopia (SNNPR and Oromia). In order to simplify the understanding of the pathways, 20 case studies conducted by independent research teams are cited and reviewed in the results section, and these are presented under four headings: 1) Agronomic practices and soil management; 2) Pulse based food processing; 3) Nutrition education; and 4) Gender and livelihood. It is noted that effective application of the framework creates an enabling environment for agriculture to become more nutrition-sensitive to respond to the growing concerns of hidden hunger and malnutrition among Ethiopian households.
Multimorphology Sparsity Regularized Image Super-Resolution

It is difficult to design an effective image super-resolution model and algorithm that can preserve the geometric structures and texture.Two incoherent geometry and texture sub-dictionaries are constructed,which can provide sparse representations of geometry and texture structures respectively.Thus,a multi-morphology sparse representation model is established.Furthermore,a convex variational model is proposed for multi-frame image super-resolution with multi-morphology sparsity regularization.The regularization term constrains the underlying image to have a sparse representation in a multi-component dictionary.The fidelity term restricts the consistency with the measured image in terms of the data degradation model.An alternate minimization iteration algorithm is proposed to solve it numerically and proximal forward-backward operator splitting method is adopted for each sub-problem.Numerical experiments for optics and infrared images are presented and the experimental results demonstrate that our super-resolution model and numerical algorithm are both effective.