Miracle-dz/UniFAR-FTUs huggingface dataset:
FARMS: Framework for Animal and Robot Modeling and Simulation

The study of animal locomotion and neuromechanical control offers valuable insights for advancing research in neuroscience, biomechanics, and robotics. We have developed FARMS (Framework for Animal and Robot Modeling and Simulation), an open-source, interdisciplinary framework, designed to facilitate access to neuromechanical simulations for modeling, simulation, and analysis of animal locomotion and bio-inspired robotic systems. By providing an accessible and user-friendly platform, FARMS aims to lower the barriers for researchers to explore the complex interactions between the nervous system, musculoskeletal structures, and their environment. Integrating the MuJoCo physics engine in a modular manner, FARMS enables realistic simulations and fosters collaboration among neuroscientists, biologists, and roboticists. FARMS has already been extensively used to study locomotion in animals such as mice, drosophila, fish, salamanders, and centipedes, serving as a platform to investigate the role of central pattern generators and sensory feedback. This article provides an overview of the FARMS framework, discusses its interdisciplinary approach, showcases its versatility through specific case studies, and highlights its effectiveness in advancing our understanding of locomotion. In particular, we show how we used FARMS to study amphibious locomotion by presenting experimental demonstrations across morphologies and environments based on neural controllers with central pattern generators and sensory feedback circuits models. Overall, the goal of FARMS is to contribute to a deeper understanding of animal locomotion, the development of innovative bio-inspired robotic systems, and promote accessibility in neuromechanical research.
Immunotherapy in urothelial cancer: current status and future directions

ABSTRACT Introduction Since 2016, the progressive use of immune checkpoint inhibitors (ICIs) starting from second-line treatment has led to an improvement in overall survival in locally advanced and metastatic urothelial cancer (UC). Clinical trials are underway testing the role of ICIs since the first stages of the disease, alone or in combination with standard therapies. Areas covered This review summarizes the current updated evidence regarding the role of ICIs in the different stages of UC, the ongoing clinical trials exploring the potential benefit of immunotherapy alone or in combination with standard-of-care therapies, as well as the promising association of ICIs with antibody-drug conjugates (ADCs). Expert opinion In the first-line setting, ICIs alone in platinum-unfit patients have shown unconvincing results; the ongoing EV-302 trial will probably suggest enfortumab vedotin plus pembrolizumab as a new effective option. The optimal duration of maintenance immunotherapy is still to be determined, finding a balance with the risk-benefit profile. The clinical benefit of ICIs as second-line treatment is limited to a subset of patients that cannot be definitively established yet. In the next 5 years, a lot of new ADCs will likely emerge for the treatment of UC.
Leveraging Semantic Technologies for Collaborative Inference of Threatening IoT Dependencies

IoT Device Management (DM) refers to the remote administration of customer devices. In practice, DM is ensured by multiple actors such as operators or device manufacturers, each operating independently via their DM solution. These siloed DM solutions are limited in addressing IoT threats related to device dependencies, such as cascading failures, as these threats spread across devices managed by different DM actors, and their mitigation can no longer be performed without collaborative DM efforts. The first step toward collaborative mitigation of these threats is the identification of threatening dependency topology. However, this task is challenging, requiring the inference of dependencies from the data held by different actors. In this work, we propose a collaborative framework that infers the threatening topology of dependencies by accessing and aggregating data from legacy DM solutions. It combines the assets of Semantic Web standards and Digital Twin technology to capture on-demand the topology of dependencies, and it is designed to be used in business applications such as customer care to enhance customer Quality of Experience. We integrate our solution within the in-use Orange's Digital Twin platform Thing in the future and demonstrate its effectiveness by automatically inferring threatening dependencies in the two settings: a simulated smart home scenario managed by ground-truth DM solutions, such as Orange's implementation of the USP Controller and Samsung's SmartThings Platform, and a realistic smart home called DOMUS testbed.
Vision plays a calibrating role in discriminating threat-related vocal emotions

The ability to reliably discriminate vocal expressions of emotion is crucial to engage in successful social interactions. This process is arguably more crucial for blind individuals, since they cannot extract social information from faces and bodies, and therefore chiefly rely on voices to infer the emotional state of their interlocutors. Blind have demonstrated superior abilities in several aspects of auditory perception, but research on their ability to discriminate vocal features is still scarce and has provided unclear results. Here, we used a gating psychophysical paradigm to test whether early blind people would differ from individually matched sighted controls at the recognition of emotional expressions. Surprisingly, blind people showed lower performance than controls in discriminating specific vocal emotions. We presented segments of non-linguistic emotional vocalizations of increasing duration (100 to 400ms), portraying five basic emotions (fear, happy, sad, disgust, angry), and we asked our participants for an explicit emotion categorization task. We then calculated sensitivity indices and confusion patterns of their performance. We observed better performance of the sighted group in the discrimination of angry and fearful expression, with no between-group differences for other emotions. This result supports the view that vision plays a calibrating role for specific threat-related emotions specifically.
The free surface assumption for marine data‐driven demultiple methods *

In the past, integral formulations for marine data‐driven demultiple methods have been derived from reciprocity theorems. Two fundamental assumptions in these derivations were that the sea‐surface is flat and has a known reflection coefficient, often taken to be minus one. In this paper, we show that for dual sensor data these assumptions can be relaxed. The sea‐surface has to obey the same conditions as any other reflecting boundary in the subsurface: it must be constant in time but shape and reflection strength can vary in space. For both surface‐related multiple elimination, and multiple attenuation by multi‐dimensional deconvolution, we derive integral equations that depend only on the measured pressure and particle velocity fields. Finally, we show there is an intimate connection between the integral equations for the methods.
Epidemiological and molecular evidence of intrafamilial transmission through sexual and vertical routes in Bahia, the state with the highest prevalence of HTLV-1 in Brazil

Introduction Familial clustering of HTLV-1 and related diseases has been reported in Brazil. However, intrafamilial transmission of HTLV-1 based on molecular analysis has been studied only in a few communities of Japanese immigrants and African-Brazilians. Objective To investigate the familial clustering of HTLV-1 infection and to determine the likely routes of transmission through epidemiological and genetic analyzes. Methods Medical records of 1,759 HTLV-1+ patients from de the Center for HTLV in Salvador, Brazil, were evaluated to identify first-degree relatives previously tested for HTLV-1. Familial clustering was assumed if more than one member of the same family was HTLV-1+. LTR regions of HTLV-1 sequences were analyzed for the presence of intrafamilial polymorphisms. Family pedigrees were constructed and analyzed to infer the likely transmission routes of HTLV-1. Results In 154 patients at least one other family member had tested positive for HTLV-1 (a total of 182 first-degree relatives). Of the 91 couples (182 individuals), 51.6% were breastfed, and 67.4% reported never using a condom. Of the 42 mother-child pairs, 23.8% had a child aged 13 years or younger; all mothers reported breastfeeding their babies. Pedigrees of families with 4 or more members suggests that vertical transmission is a likely mode of transmission in three families. Three families may have had both vertical and sexual transmission routes for HTLV-1. The genetic signatures of the LTR region of 8 families revealed 3 families with evidence of vertical transmission, another 3 families (spouses) with sexual transmission, and one family with both transmission routes. HTLV-1 sequences belonged to Cosmopolitan subtype HTLV-1a Transcontinental subgroup A. Conclusion Sexual and vertical transmission routes contribute to the intrafamilial spread of HTLV-1 in the state of Bahia.
Seasonality and risk factor analysis of respiratory syncytial virus infection in children in Taiwan—A retrospective study from 1995 to 2005

Respiratory syncytial virus (RSV) is one of the important pathogens leading to acute respiratory tract infection in infants and young children. We aimed to investigate the seasonality of RSV infection in different parts of Taiwan and to delineate the risk factors for severe RSV infections. We collected RSV‐infected patients' data by retrospective chart review. A total of 1740 RSV‐infected children aged under 18 years were enrolled. The infection was acquired during hospitalization in 103 (7.1%) children, while none of them required ventilator support or needed intensive care before RSV infection. The need for intensive care or ventilator support was significantly associated with congenital heart disease (CHD), chronic lung disease, and neuromuscular diseases. Age <1 year and nosocomially acquired infection are also significant predictors for the need of intensive care. Only the presence of CHD, especially acyanotic CHD, was significantly associated with a fatal outcome. RSV infection occurs all year round. Monthly distribution of RSV infections in Northern Taiwan showed a bimodal pattern, with one peak from March to May, and another from August to October. The distribution in Southern Taiwan showed a single peak from April to July. The occurrence of RSV correlates positively with temperature and rain. The bimodal seasonal distribution pattern in Northern Taiwan may be a transitional pattern shifting from a single high winter peak in temperate areas to a wider summer peak in tropical areas. Continuous surveillance is needed to explore the possible effect of global warming on the seasonality of RSV infection.
On the Relation Between Cross-Linguistic Influence, Between-Language Priming and Language Proficiency: Priming of Ungrammatical Adjective Placement in Bilingual Spanish-Dutch and French-Dutch Children

Abstract After hearing a structure in one language, bilinguals are more likely to produce the same structure in their other language. Such between-language priming is often interpreted as evidence for shared syntactic representations between a bilingual’s two languages and is positively related to proficiency. Recently, shared syntactic structures and structural priming have been invoked to explain cross-linguistic influence in bilingual children. This paper examines the relation between cross-linguistic influence, between-language priming and language proficiency. Almost all studies on between-language priming have focussed on grammatical structures. However, cross-linguistic influence has also been found to result in ungrammatical structures. In this study, we investigated whether ungrammatical adjective placement can be primed from a Germanic language to a Romance language and vice versa, and how to best account for any such priming. Furthermore, we examined the role of proficiency in explaining priming effects and whether this fits with an error-based learning account. Our results show that it is possible to prime ungrammatical structures, that this is lexically constrained, and that it is more likely to occur at lower levels of proficiency. We argue that the same mechanisms underlying grammatical priming can also explain our findings of ungrammatical priming.
Dynamics of the ascent and eruption of water containing dissolved CO2 on Mars

Volcanic activity on Mars can interact with the crust, providing CO2 to the hydrosphere and fracturing the cryosphere. We examine both heat transfer between magma and cryosphere ice and CO2 transfer between magma and aquifer water. Over the short time scales required to fracture the cryosphere, plausible amounts of CO2 transferred from magma are readily dissolved at the base of an aquifer under typical pressure and temperature conditions. We examine the physical mechanism by which, in some circumstances, subsurface water containing dissolved CO2 is released through fractures to the surface and emerges as a liquid fountain. All of the bulk densities of mixtures of water and released CO2, for the range of surface pressures found on Mars, are significantly greater than the atmosphere density. Using a series of models we find a relationship between the dissolved CO2 fraction in an aquifer and the height of a fountain that would form at the surface above a crustal fracture connecting the aquifer to the surface. Water eruption velocities range from ∼54 to ∼163 m s−1, leading to water fountain heights of at least a few hundred meters up to a few thousand meters with large CO2 content. Such fountains could be responsible for both the erosion observed at the source of Athabasca Vallis and the series of arcuate ridges surrounding the eastern end of the source graben of Mangala Vallis. Any mixtures of water and carbon dioxide that supplied the outflow channels in the Hesperian or Amazonian may have erupted as such fountains.
Treatment of Systemic Sclerosis–associated Interstitial Lung Disease: Evidence-based Recommendations. An Official American Thoracic Society Clinical Practice Guideline

Background Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with systemic sclerosis (SSc). To date, clinical practice guidelines regarding treatment for patients with SSc-ILD are primarily consensus based. Methods An international expert guideline committee composed of 24 individuals with expertise in rheumatology, SSc, pulmonology, ILD, or methodology, and with personal experience with SSc-ILD, discussed systematic reviews of the published evidence assessed using the Grading of Recommendations, Assessment, Development, and Evaluation approach. Predetermined conflict-of-interest management strategies were applied, and recommendations were made for or against specific treatment interventions exclusively by the nonconflicted panelists. The confidence in effect estimates, importance of outcomes studied, balance of desirable and undesirable consequences of treatment, cost, feasibility, acceptability of the intervention, and implications for health equity were all considered in making the recommendations. This was in accordance with the American Thoracic Society guideline development process, which is in compliance with the Institute of Medicine standards for trustworthy guidelines. Results For treatment of patients with SSc-ILD, the committee: 1) recommends the use of mycophenolate; 2) recommends further research into the safety and efficacy of (a) pirfenidone and (b) the combination of pirfenidone plus mycophenolate; and 3) suggests the use of (a) cyclophosphamide, (b) rituximab, (c) tocilizumab, (d) nintedanib, and (e) the combination of nintedanib plus mycophenolate. Conclusions The recommendations herein provide an evidence-based clinical practice guideline for the treatment of patients with SSc-ILD and are intended to serve as the basis for informed and shared decision making by clinicians and patients.
Drivers y tendencias en los escenarios futuros de la cadena de la soja Argentina.

Soybean production is a very important industry in Argentina, due to both the large extension of land it uses, and the high export revenues it provides. Therefore, any prospective analysis of this sector is of major relevance for the economy of the country. Prospective studies of an industrial sector allow the identification of the technological, scientific, economic, and social drivers which underlay the macro-environmental changes in a way we can eventually anticipate possible outcomes of their interplay and so help us prepare for future challenges. In this work we apply tools of scenario building for the purpose of identifying the drivers of the dynamic of the agro-food industry related to soybean in Argentina. The specific objectives of this study are the characterization of the soybean industry chain, the identification of both the stakeholders and the key variables of each of the links of the soybean chain, and the analysis of the trends of each of the sectors involved. In the identification of the main stakeholders of the soybean industry in Argentina it is remarkable the concentration of the destination markets of their products, the limited number of companies which provide goods, services and other inputs to this industry, and the atomization of the production itself. The most relevant variables which affect soybean industry in Argentina are the national government policies, trading companies strategies, biotechnology, and the emergence of the agriculture-related bio-energy. The future trends of the soybean industry in Argentina would be mostly dependent upon the new inputs from biotechnology, and highly affected by the reduction of the number of firms controlling it. The destination markets will be mainly determined by the market developments in China up to the year 2012, and by the global developments of the use of agriculture-derived bio-energy.
Possible impacts of anthropogenic and natural aerosols on Australian climate: a review

A review is presented of the aerosol–climate interaction with specific focus on the Australian region. The uncertainties associated with this interaction are much larger than those associated with greenhouse gases or other forcing agents, and are currently a major obstacle in climate‐change research. However, new research suggests that aerosol effects are of comparable importance to greenhouse gases as a driver of recent climate trends in the Southern Hemisphere, including Australia. A significant new result from climate modelling is that anthropogenic aerosol over Asia affects meridional temperature gradients and atmospheric circulation, and may have caused an increase in rainfall over north‐western Australia. Global ocean circulation provides another mechanism whereby aerosol changes in the Northern Hemisphere can affect climate in the Southern Hemisphere, suggesting an urgent need for further targeted studies using coupled ocean‐atmosphere global climate models. To better model climate variability and climate change in the Australian region, more research is needed into the sources of aerosol and their precursors, their atmospheric distributions and transformations, and how to incorporate these processes robustly in global climate models (GCMs). The following priorities are suggested for further research in Australia linking aerosol observations and modelling: natural aerosol over the Southern Ocean, tropical biomass‐burning aerosol in Indonesia and Australia, secondary organic aerosol (SOA) from volatile organic compounds (VOCs), wind‐blown dust and modulation of rainfall by anthropogenic aerosol. Copyright © 2008 Royal Meteorological Society
Iheringia, Série Zoologia

The Plant Stress Hypothesis predicts that stressed plants are more attacked by herbivorous insects. In this work, we investigated the influence of light stress on Crotalaria spectabilis Roth (Fabaceae) and on its main herbivore, the moth Utetheisa ornatrix (L., 1758) (Erebidae: Arctiinae). Specifically, we verified whether plants stressed by shading differ from non-stressed plants in terms of productivity, morphological characteristics and water percentage. We also evaluated the performance of moths in stressed and non-stressed plants. Seeds were sown in pots. When the plants reached 50 cm in height, they were randomly divided into two groups: stressed plants (treatment group) and non-stressed plants (control group). The stressed plants were covered by a black mesh, providing 50% of shading. Eight characteristics of stressed and non-stressed C. spectabilis plants were evaluated: height, fresh and dry aerial biomass, number of pods and seeds, leaf hardness, number of trichomes, leaf area, specific leaf mass and percentage of leaf water. Moths were raised individually on leaves of stressed and non-stressed plants and we obtained the larval survival, larval development time, pupal weight and female fecundity. The non-stressed plants had significantly higher percentage of water in the leaves, greater fresh aerial biomass and a higher number of trichomes than the stressed plants. The survival rate was 98% for larvae raised on leaves from stressed plants and 92% on leaves from nonstressed plants. The larval developmental time was significantly shorter and the weight of female pupae significantly higher in non-stressed plants than in stressed plants. Thus, the Plant Stress Hypothesis was only corroborated by two tested variables: number of trichomes (lower in stressed plants) and larval survival (higher in stressed plants). Trichomes are among the main types of plant defenses against herbivory and reducing their number on leaves would make stressed plants more susceptible to attack by moth larvae, a fact corroborated by a greater larval survival. One of the possible explanations for the lack of corroboration of the Plant Stress Hypothesis for most of the variables tested is that other characteristics can be changed under stress conditions, such as the concentration of secondary compounds.
Iheringia, Série Zoologia

Daily activity patterns are important elements of species behavior that reflect how they interact with their environment and with other related species. To investigate these patterns is crucial to understand how environmental or community changes may affect this behavior in each particular species. Within the Felidae family, research becomes fundamental to assess how small wild cats respond to local conditions and pressures, once there is a large gap in studies addressing such issues. Leopardus guttulus (Hensel, 1872) is an endangered species classified as Vulnerable (VU) at a regional and global level, being threatened mainly by the loss and fragmentation of its habitats. The aim of this study is to document the daily activity patterns of L. guttulus at the Lami Biological Reserve, and the influence of seasonality and temperature on those patterns. We also aimed to quantify how many individuals were using the Biological Reserve during the study period and evaluate their permanence in the area. We obtained 25 independent records for L. guttulus, which was the only cat species recorded at the site during the study period. In general, the species presented a cathemeral habit, being active throughout the 24 hours of the day, but with a more crepuscular/nocturnal activity in the spring and summer. The relationship between the species’ activity and temperature showed that more than 70% of the records were obtained in a narrow range of 10-17°C. We identified at least two individuals that remained at the site from four to six months of the year, with a higher detection frequency between August and November. Our results showed some interesting trends for the temporal activity of L. guttulus, suggesting flexibility related to seasonality, and the importance of the biological reserve to the preservation of this cat species in the southern limit of its distribution.