Miracle-dz/UniFAR-FTUs huggingface dataset:
RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

The importance of construction automation has grown worldwide, aiming to deliver new machineries for the automation of roads, tunnels, bridges, buildings and earth-work construction. This need is mainly driven by (i) the shortage and rising costs of skilled workers, (ii) the tremendous increased needs for new infrastructures to serve the daily activities and (iii) the immense demand for maintenance of ageing infrastructure. Shotcrete (sprayed concrete) is increasingly becoming popular technology among contractors and builders, as its application is extremely economical and flexible as the growth in construction repairs in developed countries demand excessive automation of concrete placement. Even if shotcrete technology is heavily mechanized, the actual application is still performed manually at a large extend. RoBétArméEuropean project targets the Construction 4.0 transformation of the construction with shotcrete with the adoption of breakthrough technologies such as sensors, augmented reality systems, high-performance computing, additive manufacturing, advanced materials, autonomous robots and simulation systems, technologies that have already been studied and applied so far in Industry 4.0. The paper at hand showcases the development of a novel robotic system with advanced perception, cognition and digitization capabilities for the automation of all phases of shotcrete application. In particular, the challenges and barriers in shotcrete automation are presented and the RoBétArmésuggested solutions are outlined. We introduce a basic conceptual architecture of the system to be developed and we demonstrate the four application scenarios on which the system is designated to operate.
Assessment of Connective Tissue in the Equine Uterus and Cervix: Review of Clinical Impact and Staining Options

Simple Summary Uterine diseases are the leading cause of infertility in mares, causing increasing costs and losses in horses’ breeding. Their current diagnosis is often supported by obtaining endometrial biopsies and hematoxylin–eosin staining, which is the basic staining used in histopathology. This review aims to show the variety of uterine changes affecting fertility and highlights the usefulness of special stains for connective tissue visualization—Masson trichrome, picrosirius red, elastica van Gieson, or periodic acid–Schiff—for a more comprehensive diagnosis. The fibrosis evaluation includes connective tissue changes in the cervix, the endometrium, and around/in the wall of blood vessels. Cervical connective tissue undergoes cyclic changes impacting fertility, whereas vascular changes, especially in multiparous mares, are crucial for adapting to physiological shifts, affecting early pregnancy and hindering placental development. Special stains are valuable for the identification of structural changes in the cervix and fibrosis in uterine blood vessels. Moreover, equine endometrosis, linked to fibrotic processes in the endometrium, emphasizes the need for wider use of special stains in diagnosis. Therefore, we advocate for special staining in reproductive tract evaluation due to its simplicity, accessibility, and effectiveness. We encourage scientists and diagnosticians to adopt additional tools for clearer pathology visualization, enabling reliable fertility predictions. Abstract Uterine diseases stand as the primary cause of infertility in mares; however, the diagnostic process often relies on obtaining endometrial biopsies and their hematoxylin–eosin staining. This review seeks to present the variability of uterine changes and their impact on fertility and underscore the utility of special stains, such as Masson trichrome, picrosirius red, elastica van Gieson, or periodic acid–Schiff, in enhancing diagnostic breadth. Connective tissue evaluation in the cervix is discussed, as it is subjected to cyclic changes and the impact on overall fertility. Vascular changes, particularly prevalent in multiparous mares, play a crucial role in adapting to physiological and pathological alterations, affecting early gestation and impeding placental development. Given that uterine vascular pathologies often involve fibrotic changes, connective tissue stains emerge as a valuable tool in this context. Moreover, equine endometriosis, predominantly associated with endometrial fibrosis, further highlights the relevance of special stains, suggesting their underutilization in the diagnostic process. Recognizing the subjective nature of diagnosing uterine pathologies and the need for additional diagnostic tools, we advocate for using dedicated stains in the histopathological evaluation of uterine samples. In conclusion, we encourage scientists and diagnosticians to embrace additional tools that enhance pathology visualization, enabling more reliable diagnoses concerning expected fertility.
Grothendieck Ring of Varieties with Actions of Finite Groups

Abstract We define a Grothendieck ring of varieties with actions of finite groups and show that the orbifold Euler characteristic and the Euler characteristics of higher orders can be defined as homomorphisms from this ring to the ring of integers. We describe two natural λ-structures on the ring and the corresponding power structures over it and show that one of these power structures is effective. We define a Grothendieck ring of varieties with equivariant vector bundles and show that the generalized (‘motivic’) Euler characteristics of higher orders can be defined as homomorphisms from this ring to the Grothendieck ring of varieties extended by powers of the class of the complex affine line. We give an analogue of the Macdonald type formula for the generating series of the generalized higher-order Euler characteristics of wreath products.
On the method of assessment of seismotectonic potential

In the scope of this work we have investigated the interrelation of seismicity with geological features and rock mechanical properties mainly on the example of the eastern part of the Baltic Shield. It has been found that earthquake occurrence depends on the rock lithology, its age and the geological evolution of the region. The empirical relationship between energy strength and maximum magnitude are offered. It was revealed that occurrence of the largest earthquakes of the region is connected with undeformed granitized blocks of the crust or granitoid batholithes that have been associated with compression processes. It is known that the typical Archean granite-greenstone highly fractured crust shows a layered formation with variable deformational properties and reduced efficient brittleness. The maps of energy strength, seismic potential and maximum magnitude of the north part of the Kola Peninsula were compiled.
Model Reference Adaptive Control Method for Dielectric Elastomer Material-Based Intelligent Actuator

This article presents a model reference adaptive control method (MRACM) for the high-precision tracking control of a dielectric elastomer material-based intelligent actuator (DEMIA). First, a dynamics model of the DEMIA is established to delineate its complex nonlinear behaviors. Second, a feed-forward inverse compensation control method (FICCM) is proposed to compensate for the nonlinear behaviors of the DEMIA, so as to preliminarily achieve its tracking control. Third, due to the fact that model uncertainties and external disturbances are inescapable in practical applications, a MRACM based on the established nominal model of the DEMIA is further presented to improve the tracking control performance. The stability of the entire control system is proved via the Lyapunov method. In the end, a series of tracking control experiments with different multifrequency expected trajectories are executed to illustrate the validity of the proposed control methods. The root-mean-square errors of all control experiment results are less than 2.8%, which reflects that the proposed MRACM is distinguished from a practical application perspective.
Rhéologie et biréfringence d'écoulement, du macroscopique au microscopique

La birefringence d'ecoulement est une technique experimentale qui peut etre associee avec profit a l'etude du comportement rheologique de nombreux fluides complexes. Elle apparait dans certains fluides mis en mouvement sous l'action de contraintes; le liquide devient alors equivalent a un cristal anisotrope. Les grandeurs optiques caracteristiques d'un fluide birefringent sont l'angle d'extinction et l'intensite de la birefringence, dont on decrira une technique de mesure originale qui fait appel a la diffusion Rayleigh. Les liens entre optique et rheologie vont apparaitre dans la relation de Lodge et dans la loi tensio-optique; cette derniere, lorsqu'elle s'applique, permet d'atteindre certaines caracteristiques microscopiques (anisotropie de polarisabilite, longueur de persistance) des particules en solutions. Enfin, quelques exemples choisis dans les fluides micellaires illustreront ce travail et apporteront une confirmation de l'interet des etudes optiques dans le domaine de la rheo-physique des fluides complexes.
A NOVEL FORECASTING MODEL BASED ON COMBINING TIME-VARIANT FUZZY LOGICAL RELATIONSHIP GROUPS AND K-MEANS CLUSTERING TECHNIQUE

Most of previous the forecasting approaches based on fuzzy time series (FTS) used the same length of intervals. The weakness of the static length of intervals is that the historical data are roughly put into intervals, although the variance of them is not high. In this paper, a new forecasting model based on combining the fuzzy time series and K-mean clustering algorithm with three computational methods, K-means clustering technique, the time variant fuzzy logical relationship groups and defuzzification forecasting rules, is presented. Firstly, the authors use the K-mean clustering algorithm to divide the historical data into clusters and adjust them into intervals with different lengths. Then, based on the new intervals obtained, the proposed method is used to fuzzify all the historical data and create the time -variant fuzzy logical relationship groups based on the new concept of time – variant fuzzy logical relationship group. Finally, Calculate the forecasted output value by the improved defuzzification technique in the stage of defuzzification. To evaluate performance of the proposed model, two numerical data sets are utilized to illustrate the proposed method and compare the forecasting accuracy with existing methods. The results show that the proposed model gets a higher average forecasting accuracy rate to forecast the Taiwan futures exchange (TAIFEX) and enrollments of the University of Alabama than the existing methods based on the first – order and high-order fuzzy time series.
The ice transport through the Fram Strait

4 . l. lntroduetion 5 1.1. Previous estimates 5 1.2. SpeeiaJ features 5 1.2.1. Fraeture patterns 5 1.2.2. Loeal iee formation . 7 1.2.3. Cireulation on the NE Greenland shelf 9 1.2. 4. lee edge eddies 10 . 1.3. Momentum balanee 13 Observ ations 14 2.1. lee drift pattern 15 . 2.1.1. Wind drift 18 2.1.2. Current drift 24 2.2. lee thiekness distribution 29 2.2.1. Submarine observations . 29 2.2.2. Cross-stream iee type variation . 30 2.2.3. Drillings 31 . 2.3. lee eoneentrations 34 . 3. The iee volume transport . 34 4. Aeknowledgements 37 . 5. Referenees 37 .
Development of a Novel Biomarker for the Progression of Idiopathic Pulmonary Fibrosis

The progression of idiopathic pulmonary fibrosis (IPF) is diverse and unpredictable. We identified and validated a new biomarker for IPF progression. To identify a candidate gene to predict progression, we assessed differentially expressed genes in patients with advanced IPF compared with early IPF and controls in three lung sample cohorts. Candidate gene expression was confirmed using immunohistochemistry and Western blotting of lung tissue samples from an independent IPF clinical cohort. Biomarker potential was assessed using an enzyme-linked immunosorbent assay of serum samples from the retrospective validation cohort. We verified that the final candidate gene reflected the progression of IPF in a prospective validation cohort. In the RNA-seq comparative analysis of lung tissues, CD276, COL7A1, CTSB, GLI2, PIK3R2, PRAF2, IGF2BP3, and NUPR1 were up-regulated, and ADAMTS8 was down-regulated in the samples of advanced IPF. Only CTSB showed significant differences in expression based on Western blotting (n = 12; p < 0.001) and immunohistochemistry between the three groups of the independent IPF cohort. In the retrospective validation cohort (n = 78), serum CTSB levels were higher in the progressive group (n = 25) than in the control (n = 29, mean 7.37 ng/mL vs. 2.70 ng/mL, p < 0.001) and nonprogressive groups (n = 24, mean 7.37 ng/mL vs. 2.56 ng/mL, p < 0.001). In the prospective validation cohort (n = 129), serum CTSB levels were higher in the progressive group than in the nonprogressive group (mean 8.30 ng/mL vs. 3.00 ng/mL, p < 0.001). After adjusting for baseline FVC, we found that CTSB was independently associated with IPF progression (adjusted OR = 2.61, p < 0.001). Serum CTSB levels significantly predicted IPF progression (AUC = 0.944, p < 0.001). Serum CTSB level significantly distinguished the progression of IPF from the non-progression of IPF or healthy control.
La Escuela bajo los preceptos de la Teoría del Caos: incertidumbre, caos, complejidad, lógica difusa y bioaprendizajes

This article seeks to show an approximation of the Chaos Theory to the social universe and the School, while pretends to illustrate the possibility of an interpolation of the triad chaos, uncertainty and complexity to the understanding of educational and learning processes. It looks for relationships between different concepts of Chaos Theory and dynamics of the School. It also shows scientific principles such as the uncertainty and complexity principle as an option to address the realities in daily education, and in other way, who allows to conceive the School within the framework of learning linked to the act of life, to the pleasure of learning and the Earth as a vital and educational niche
Dual-Target Radiosurgery for Concomitant Continuous Pain Presentation of Trigeminal Neuralgia: Radiomodulation Effect and Dose

Objectives: Patients with trigeminal neuralgia (TN) experience concomitant continuous pain (CCP) that can be difficult to treat. A dual-target approach delivering a high dose of radiation to the nerve and the contralateral thalamus can develop a fast radiomodulation effect on lowering pain. We sought to determine if this effect was dose dependent. Methods: We retrospectively reviewed 21 patients treated with radiosurgery in CCP and severe TN pain, with a visual analog scale (VAS) score of nine out of 10 at the time of treatment. Ten patients were treated with a high dose (>120 Gy) in the thalamus 90 Gy to the nerve, and the rest with a low dose (<120 Gy) to the thalamus and >90 Gy to the nerve. Results: Of those who received the high dose to the thalamus, six patients (60%) received 140 Gy, and four (40%) received 120 Gy, with a median dose to the trigeminal nerve of 90 and 85 Gy, respectively. The high thalamus dose showed a radiomodulation effect from day 1. The low thalamus dose did not produce radiomodulation on any of the first four days. The percentage of VAS score reduction one month after treatment was higher in the high-thalamus dose group than in the low-thalamus dose group. At three months, VAS score was 2 in the high-dose group and 4 in the low-dose group. Conclusions: The radiomodulation effect in pain and dual-target radiosurgery is dose dependent in CCP in TN; a high dose can provide a more consistent clinical result than a lower dose.
Magnetization reversal and local switching fields of ferromagnetic Co/Pd microtubes with radial magnetization

Author(s): Puwenberg, N; Reiche, CF; Streubel, R; Khan, M; Mukherjee, D; Soldatov, IV; Melzer, M; Schmidt, OG; Buchner, B; Muhl, T | Abstract: © 2019 American Physical Society. Three-dimensional nanomagnetism is a rapidly growing field of research covering both noncollinear spin textures and curved magnetic geometries including microtubular structures. We spatially resolve the field-induced magnetization reversal of free-standing ferromagnetic microtubes utilizing multifrequency magnetic force microscopy (MFM). The microtubes are composed of Co/Pd multilayer films with perpendicular magnetic anisotropy that translates to an anisotropy with radial easy axis upon rolling-up. Simultaneously mapping the topography and the perpendicular magnetostatic force derivative, the relation between surface angle and local magnetization configuration is evaluated for a large number of locations with slopes exceeding 45 degrees. The angle-dependence of the switching field is concurrent with the Kondorsky model, i.e., the rolled-up nanomembrane behaves like a planar magnetic film with perpendicular anisotropy and a pinning dominated magnetization reversal. Additionally, we discuss methodological challenges when detecting magnetostatic force derivatives near steep surfaces.
Alagille syndrome: clinical perspectives

Alagille syndrome is an autosomal dominant, complex multisystem disorder characterized by the presence of three out of five major clinical criteria: cholestasis with bile duct paucity on liver biopsy, congenital cardiac defects (with particular involvement of the pulmonary arteries), posterior embryotoxon in the eye, characteristic facial features, and butterfly vertebrae. Renal and vascular abnormalities can also occur. Inter- and intrafamilial variabilities in the clinical manifestations are common. We reviewed the clinical features and management as well as the molecular basis of Alagille syndrome.
Decision Making Drivers

This paper contends that because decision makers are receptive, decision making errors are expensive and getting more expensive, and because academic insights will undoubtedly follow from study on improvement, it is now important to concentrate efforts on the hunt for characteristics that influence decision making. This study tries to summarize the key aspects that affect decision making and how these factors have a significant impact and influence on decision makers, in addition to promoting for research on improvement tactics. To identify these key elements, the researcher concentrates on reviewing the literature.
Marine Ecosystems: Diversity and Functions

The deep ocean, often called the abyss, covers 66% of the planet. Schematically, it is the marine zone where there is not enough light to allow plants to grow. In fact, the lightened part of the ocean is shallow and does not exceed a few hundred meters; the rest of the ocean can reach much greater depths (11 km in the Mariana Trench) and is in complete darkness except for slight glows of bioluminescence. In the absence of local organic production, the organisms living at depth subsist due to organic matter produced in surface waters. This organic matter, in the form of decomposed matter, feces and molts, is clumped together by secretions from gelatinous organisms, sediments at depth and is degraded under the action of heterotrophic microbial communities, or is being recycled by pelagic organisms. Stratification of the water column, depth, surface production and seasonal variations as well as distance from continental shelves directly affect the flow of organic matter that reaches deep sediments.
Aggregate productivity and the allocation of resources over the business cycle ∗

This paper proposes a novel decomposition of aggregate productivity to evaluate the role of resource reallocation for the cyclical dynamics of aggregate productivity. The decomposition, which is derived from the aggregation of heterogeneous firm-level production functions, accounts for changes in allocative efficiency, as well as for changes in entry and exit. This approach thereby extends Solow (1957)’s growth accounting exercise to a framework with firm heterogeneity and frictions in the allocation of resources across firms. I apply the decomposition to a comprehensive dataset of French manufacturing and service firms and find that entry and exit contribute little to the year-on-year variability of aggregate productivity. Resource reallocation across incumbent firms, however, plays an important role in the dynamics of aggregate productivity. The efficiency of resource allocation improves during downturns and tend to reduce the volatility of aggregate productivity.
GaN Super-Heterojunction FETs With 10-kV Blocking and 3-kV Dynamic Switching

This article reports on two generations of GaN-on-sapphire super-heterojunction (SHJ) transistors, aiming at the realization of 10-kV class power transistors with low static and dynamic ON-resistance. First generation (Gen. 1) GaN SHJ-FETs used a single 2-D electron gas (2DEG) channel design with Schottky gate. Experimental results indicated the feasibility of achieving 10-kV blocking, however, room for improvement to reduce static source-to-drain ON-resistance <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS},\text {ON}}$ </tex-math></inline-formula> and dynamic <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS},\text {ON}}$ </tex-math></inline-formula> degradation. A second generation (Gen. 2) SHJ-MOSFET was designed using an epitaxy with two 2DEG channels for larger ON-state drain current and smaller <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS},\text {ON}}$ </tex-math></inline-formula>. The high-voltage capability and dynamic <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS},\text {ON}}$ </tex-math></inline-formula> degradation mitigation were reached by implementing the GaN SHJ design, while simultaneously avoiding surface trapping between the gate and the SHJ structure. Gen. 2 experimentally showed scaling of blocking voltage with SHJ length up to 10 kV, reduced static <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS},\text {ON}}$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$71.4~\Omega \cdot $ </tex-math></inline-formula>mm (73.5 <inline-formula> <tex-math notation="LaTeX">$\text{m}\Omega \cdot $ </tex-math></inline-formula>cm<inline-formula> <tex-math notation="LaTeX">$^{{2}}{)}$ </tex-math></inline-formula>, low <inline-formula> <tex-math notation="LaTeX">${R}_{\text {DS,ON}}{C}_{\mathrm {O(}\mathrm {tr})}$ </tex-math></inline-formula>of ~4.9 ps, and controlled current collapse of 123% when switched from an OFF-state bias of 3 kV.
De-Coding the 'Beijing Consensus': Is it an Alternative Growth Model?

China’s robust economic growth and development, as a result of its reform and opening policies, has produced phenomenal success. The most striking feature has been China’s survival in the global financial and economic crisis, which has led to the dramatic contraction of the world economies, mainly the United States and the European Union. Here, the quintessential question that requires attention is: ‘How did China survive the economic catastrophe when big powers contracted? ’ In this aspect, the Chinese growth and development model - collectively known as the ‘Beijing Consensus’ - is argued to be China’s success factor in the economic crisis. Whereby, the prospect of rapid economic development without political liberalization has become the new jargon of development, which comes with ‘no strings attached’. Therefore, based on the available sources, this paper seeks to provide an understanding of this new alternative model called the Beijing Consensus and how it is distinct from the Western-led model of the Washington Consensus.