Miracle-dz/UniFAR-FTUs huggingface dataset:
Ciclo del agua y elementos en suelos forestales ( Pinus radiata) de Galicia

La sostenibilidad de las masas forestales con P.radiata es analizada mediante el establecimiento de los ciclos biogeoquimicos de elementos en sistemas representativos del monte arbolado de Galicia, no sujeto a fertilizacion. Se analizan en continuo, mediante muestreos semanales, en periodos humedos, y mensuales, en verano, las entradas de elementos al suelo por precipitacion, pluviolavado, flujo de tallo y hojarasca, y las perdidas por drenaje o absorcion neta (biomasa maderable) durante dos anos completos, 1997 y 1998. La proximidad al mar afecta de modo importante la composicion de las disoluciones de entrada. La sostenibilidad de las plantaciones forestales no se ve comprometida por el desgaste debido al uso, dado que las perdidas por absorcion vegetal resultan minimas frente al importante lavado del suelo condicionado por la intensidad de las precipitaciones. El balance en el suelo resulta negativo para Ca, Na, Al y Fe y positivo para Mg y K.
A Deep Reinforcement Learning-Based Decentralized Hierarchical Motion Control Strategy for Multiple Amphibious Spherical Robot Systems With Tilting Thrusters

The variable operating conditions and hostile environments faced by underwater robots remain a challenge for motion control in unknown environments. In order to improve the capability of the amphibious spherical robot (ASR) in unknown environments, a decentralized hierarchical deep reinforcement learning (DRL) motion control method based on deep deterministic policy gradient (DDPG) for multiple ASRs system is proposed. In the low-level, a DDPG-based motion controller is trained under a compound rewarding to learn to set the configurations of the tilting angle and rotational speed of each thruster at a proper timescale. At the high-level, a planning controller consisting of different action networks is designed to generate a reasonable thrust target to guide the movement of the robot. Specifically, inspired by the artificial potential field (APF) method, the complex underwater motion can be decomposed into several simple virtual forces. Each action network is trained to learn to generate a virtual thrust target component for a specific action. By combining the outputs of several action networks, the distributed cooperative motion control for multirobot systems can then be easily achieved. Finally, the motion control strategy is applied to the physical multi-ASR system, and the experiment results have shown satisfactory performance.
Matching root water uptake patterns to �ne root and soil water distributions

Aims Exploring the relationships between water uptake, �ne root, and soil water is essential for many �elds, such as plant physiology, ecological hydrology, and water conservancy. Methods In four Populus tomentosa stands with different ages (young and mature) and stand structures (low and high stand density), we matched root water uptake patterns obtained from stable isotope techniques with �ne root and soil water distributions, respectively. The effects of soil water content and meteorological factors on these matching degrees were further explored. Results It was found that the water uptake pattern was closer to soil water distribution than to �ne root distribution in mature stands, while water uptake pattern matched both �ne root and soil water distribution closely in young stands. Increased competition intensity within a stand would suppress the matching degree between water uptake patterns and �ne root distribution, but would have little effect on the matching degree between water uptake patterns and soil water distribution. There is a relatively high positive or negative correlation between these two matching degrees in all four stands. Compared with the direct effect of soil water content, the in�uence of meteorological factors on matching degrees was relatively weak.
Co2 Emissions Trading At The Stock Exchange – Quality Enhancement Of Tourism Potential, Ecological And Economic Growth

Since climate changes have caused significant problems in the functioning of the modern world, human society and economics at the global level, it is inevitable to take appropriate protective measures. Climate change and its bad influence directly relate to the environment and indirectly to economic, i.e. tourist activities which are linked to natural potentials. For years, human or industrial activities have been emitting greenhouse gases into atmosphere, which have harmed the climate to a large extent. In order to prevent further pollution, permits for emitting greenhouse gases were introduced at various conferences on a global level. These permits are traded on the stock exchange so this paper gives an overview and description of CO2 emission trading. Such an indirect environmental protection provides the possibility of reducing harmful gasses emission into atmosphere, and thus less harming climate factors. The paper puts emphasis on the Kyoto Protocol, CO2 emissions market, situation and tendencies on the market and their influence on tourism.
Smartphone use in Neurology: a bibliometric analysis and visualization of things to come

Background and objectives Smartphones are a ubiquitous part of society with increasing use as a healthcare tool. We aimed to analyze the published literature on smartphone usage within the field of Neurology to define the scientific landscape and forecast future research initiatives. Methods We performed a bibliometric review of smartphone uses in Neurology based on a search of two Web of Science databases from inception through September 16, 2022. This librarian-guided review was conducted using Bibliometrix for data assessment and visualization. Temporal trends in publications, citation counts, collaborations, and author affiliations were among key metrics evaluated. VOS viewer identified hot spots based on generating co-occurrences and bibliographic coupling mapping. Results Our search found 3,920 publications. The U.S. produced the most topic-based publications, collaborating most frequently with U.K., Canada, and China-based authors. The most prolific institutions included Karolinska Institute, University of Sydney, and University of Pittsburgh. Bioelectromagnetics, Stroke, and Neurology were the most cited journals. Rapid growth in scientific production occurred in recent years, including during the COVID-19 pandemic. Hotspots and keyword co-occurrence included telehealth, machine learning, and self-management. Temporal trends reflect transitioning from a focus of initial publications regarding mobile phone safety to more recent application of smartphones as “smart” tools for single modality diagnosis, monitoring, management, and treatment of neurological diseases. Discussion There has been rapid expansion of the published literature on smartphone uses in Neurology. Initial focus on smartphones and health risk has shifted to uses for neurological disease diagnosis, detection, and management, with relevance as a global interface for collaboration and clinical practice.
to Store

Complement components have a reputation to be very labile. One of the reasons for this is the spontaneous hydrolysis of the internal thioester that is found in both C3 and C4 (but not in C5). Despite the fact that ≈ 20,000 papers have been published on human C3 there is still no reliable method to store the protein without generating C3(H 2 O), a fact that may have affected studies of the conformation and function of C3, including recent studies on intracellular C3(H 2 O). The aim of this work was to de ﬁ ne the conditions for storage of native C3 and to introduce a robust method that makes C3 almost resistant to the generation of C3(H 2 O). Here, we precipitated native C3 at the isoelectric point in low ionic strength buffer before freezing the protein at -80°C. The formation of C3(H 2 O) was determined using cation exchange chromatography and the hemolytic activity of the different C3 preparations was determined using a hemolytic assay for the classical pathway. We show that freezing native C3 in the precipitated form is the best method to avoid loss of function and generation of C3(H 2 O). By contrast, the most ef ﬁ cient way to consistently generate C3(H 2 O) was to incubate native C3 in a buffer at pH 11.0. We conclude that we have de ﬁ ned the optimal storage conditions for storing and maintaining the function of native C3 without generating C3(H 2 O) and also the conditions for consistently generating C3(H 2 O)
The West Mageik Lake Sill Complex as an analogue for magma transport during the 1912 Eruption at the Valley of Ten Thousand Smokes, Alaska

We compare the structure and intrusive history of the West Mageik Lake sill complex to possible conduits for magma transport during the 1912 eruption at the nearby Valley of Ten Thousand Smokes (VTTS), on the Alaska Peninsula, to shed light on some of the enigmatic aspects of the 1912 eruption, including its unusual feeder system and eruptive sequence. At West Mageik Lake, Late Tertiary (? ) rhyolitic magma propagated along a roughly east-west trend as sills that followed bedding planes and through-going joint sets in the Jurassic Naknek siltstone. This demonstrates the feasibility of arc-parallel transport of rhyolitic magma as sills at shallow crustal levels.
UAV-Enabled Integrated Sensing, Computing, and Communication for Internet of Things: Joint Resource Allocation and Trajectory Design

As an aerial service platform for Internet of Things (IoT), unmanned aerial vehicle (UAV) can provide integrated sensing, computing and communication (ISCAC) services for the IoT nodes. In this article, a UAV-enabled ISCAC system is proposed for IoT to meet the evolving requirements of emerging services in 6G networks. This system has three functions: 1) sensing user equipments (UEs) for acquiring radar sensing information; 2) executing computing tasks; and 3) offloading incomplete tasks to the access point (AP) for further processing. Through jointly optimizing UAV CPU frequency, UAV radar sensing power, transmit power of UEs, and UAV trajectory, the weighted total energy consumption of both the UAV and the UEs can be minimized. We present a three-layer iterative optimization algorithm to tackle the original nonconvex optimization problem. Finally, the effectiveness of the algorithm and its superiority in energy consumption compared to other benchmark schemes are verified through simulation results.
A Review Paper on Various Approaches for Image Mosaicing

Image mosaicing is one of the most important subject of research in computer vision. Image mosaicing requires the integration of direct methods and feature based methods. Direct methods are found to be useful for mosaicing large overlapping regions, small translations and rotations while feature based methods are useful for small overlapping regions. Feature based image mosaicing is combination of corner detection, corner matching, motion parameters estimation and image stitching. In this paper we present a review on different approaches for image mosaicing and the literature over the past in the field of image mosaicing methods. We take an overview on the various methods for image mosaicing.
The effects of different grazing intensity on soil organic carbon content in meadow steppe

Soil organic carbon(SOC),total nitrogen(TN) and mechanical composition Meadow steppe soil were studied,which showed that SOC and TN of surface soil(0-20 cm)had no significant difference under light and moderate grazing,but significantly higher than that on heavy grazed land.The grassland vegetation coverage was higher under light grazing compared to moderate and heavy grazing.So moderately grazed grassland was the threshold and should be addressed.SOC of surface soil(0-20 cm)linearly correlated to TN but they had no significant linear correlation to mechanical composition.
DECOMPOSITION OF LONG-TERM CHANGES IN POLITICAL OPINIONS ACCORDING TO GROUP-SPECIFIC MARKOV PROCESSES*

In this paper I use longitudinal data for Poland to test the assumption that political opinion change through time is not entirely due to some universal and time-constant processes; rather, it depends on the initial conditions in a person’s state. Information on Poles’ evaluations of the past socialist regime available for repeated intervals, and over a sufficiently long time period—ten years—allows me to decompose long-term changes in assessment of socialism into short-term change, and the reliability of responses according to group-specific Markov processes. I obtain three types of stochastic matrices: Mt, t+10, Mt, t+1, Mrel = R , where M refers to a matrix of opinions in time t by opinions in subsequent time, t refers to specific years, and R is the reliability matrix from the measurement of opinions in one-month period. To assess the fit of the observed transition matrix for the 10-year period as a linear combination of matrices Mt, t+1 and Mrel, I apply the random effect maximum likelihood function in STATA, with the bootstrap option for obtaining the standard errors of the coefficients. Results demonstrate that Markovtype processes do not have significant explanatory power for long-term change in opinions about socialism. Substantively, this means that the ‘subjective’ legacy of the past, namely peoples’ views of the former regime, matters.
Towards a Better Super-App Architecture from a Browser Security Perspective

As multi-service mobile applications, the super-apps provide users with great convenience and satisfy most of our daily needs. Riding on the increasing popularity of super-apps, researchers from academia and industry have studied multiple aspects of mini-apps regarding security issues, including permission mechanisms, secure communication, access control, etc. However, little effort has been spent to analyze the underlying web technologies employed by super-apps. In this paper, we conduct the first study to understand the security mechanisms of super-apps from a browser perspective. We describe the relationship and significant differences between browsers and super-apps, especially the security features of traditional browsers and the challenges in applying them to super-apps. Further, we propose security guidelines about resources, storage, credentials, and privacy management to build a more secure super-app.
The Rac-GEF Tiam1 controls integrin-dependent neutrophil responses

Rac GTPases are required for neutrophil adhesion and migration, and for the neutrophil effector responses that kill pathogens. These Rac-dependent functions are impaired when neutrophils lack the activators of Rac, Rac-GEFs from the Prex, Vav, and Dock families. In this study, we demonstrate that Tiam1 is also expressed in neutrophils, governing focal complexes, actin cytoskeletal dynamics, polarisation, and migration, in a manner depending on the integrin ligand to which the cells adhere. Tiam1 is dispensable for the generation of reactive oxygen species but mediates degranulation and NETs release in adherent neutrophils, as well as the killing of bacteria. In vivo, Tiam1 is required for neutrophil recruitment during aseptic peritonitis and for the clearance of Streptococcus pneumoniae during pulmonary infection. However, Tiam1 functions differently to other Rac-GEFs. Instead of promoting neutrophil adhesion to ICAM1 and stimulating β2 integrin activity as could be expected, Tiam1 restricts these processes. In accordance with these paradoxical inhibitory roles, Tiam1 limits the fMLP-stimulated activation of Rac1 and Rac2 in adherent neutrophils, rather than activating Rac as expected. Tiam1 promotes the expression of several regulators of small GTPases and cytoskeletal dynamics, including αPix, Psd4, Rasa3, and Tiam2. It also controls the association of Rasa3, and potentially αPix, Git2, Psd4, and 14-3-3ζ/δ, with Rac. We propose these latter roles of Tiam1 underlie its effects on Rac and β2 integrin activity and on cell responses. Hence, Tiam1 is a novel regulator of Rac-dependent neutrophil responses that functions differently to other known neutrophil Rac-GEFs.
Non-finality Effects in Middle English Stress: Regularisation or Emerging Grammar?

The present paper looks at stress-shifting processes which transformed penultimate stress (pilgrima:Ze, "pilgrimage") into word-initial stress (pilgrima(:)Z) in Middle English. The change also involved final-vowel deletion. The contact between the ME stress system and that derived from French loans seems to be resolved via regularisation in the direction of the borrowing language. However, we claim that this process of stress shifting already points towards changes in the English grammar of stress. We provide an Optimality Theory (Prince & Smolensky, 1993/2004; McCarthy & Prince, 1993) analysis of this phenomenon, suggesting that stress regularisation results from a conspiracy of both paradigmatic and grammatical forces. Not only does the resulting pattern (pilgrima(:)Z) comply with the wordinitial stress dominant pattern in OE and ME, but also it is less marked from a phonological viewpoint. This suggests an emerging grammatical role of the constraint NONFINALITY in ME grammar.
Research on Factors Affecting User Experience of Tmall International Platform

This research takes the influencing factors of cross-border e-commerce Tmall International user experience as the research object, adopting the Technology Acceptance Model (TAM) as the theoretical model, and conducting quantitative research through methods such as literature method, questionnaire survey, and data analysis. The research results show that there is a significant positive correlation between user experience and service experience, product experience and platform experience. Among them, service experience makes the greatest contribution to user experience, followed by product experience and platform experience. These findings are of great significance for cross-border e-commerce platforms such as Tmall International to conduct international marketing and improve user experience and competitiveness. They also provide useful reference for further research on factors affecting cross-border e-commerce user experience.
Visuospatial bootstrapping: Evidence for binding of verbal and spatial information in working memory

Traditionally, working memory is held to comprise separate subcomponents dedicated to the temporary storage of visuospatial and verbal information. More recently, the addition of an episodic buffer has been proposed where information from multiple memory systems is integrated. We report an experiment designed to investigate the effects of providing additional visuospatial information in a verbal working memory task. When to-be-remembered digits were arranged in a horizontal line, performance was no better than when digits were presented in a single location. However, when digits were presented in a keyboard array, performance was significantly better. It is argued that this pattern is hard to reconcile with the traditional model of working memory, and that the “spatial bootstrapping” effect provides evidence towards models of working memory that incorporate an episodic buffer.
Visuospatial Bootstrapping : When Visuospatial and Verbal Memory Work Together

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DMT-Net: Deep Multiple Networks for Low-Light Image Enhancement Based on Retinex Model

Images captured under low-light conditions are typically prone to undesirable visual phenomena, particularly color distortion and additive noise, that impede the aesthetics and performance of high-level vision tasks. Therefore, developing an enhancement method is necessary to obtain visually pleasing images. This paper proposes deep multiple networks for low-light image enhancement based on the Retinex model (defined as DMT-Net), wherein each network is configured to perform its own role in the YCbCr color space. More specifically, Decoupled-Net is presented to decouple the luminance channel into reflectance and illumination components accurately using the Retinex model. Denoising-Net is connected to Decoupled-Net to eradicate additive noise in the reflectance component. Boosting-Net enhances the illumination component and reduces halo artifacts. In addition, we propose Chrominance-Net to mitigate the distortion of the Cb and Cr channels. Our study also focuses on having a suitable norm order for the loss function based on kurtosis characteristics, such that each network is properly trained to minimize the residual in the training process. Finally, the experimental results prove that our proposed method outperforms numerous other cutting-edge methods in both qualitative and quantitative terms.
The founder as the microfoundation of slack resource and firms’ R&D investment

This paper studies the relationship between slack and research and development (R&D) investment by addressing the role of the founder as the ‘microfoundation’ among Chinese newly listed firms. We propose a contingent approach to understanding the slack-R&D investment relationship by examining the influence of the founder’s human capital and social ties, which is distinguished into political and managerial ties. Our results show that the founder’s human capital, measured by its educational level, strengthens the relationship between absorbed and unabsorbed slack resources and R&D investment. We also find that the founder’s managerial ties strengthen the relationship between resource slack and R&D intensity, whereas political ties weaken that link. Our results demonstrate the founder’s crucial role in underpinning resource utilization in newly listed firms and emphasise the importance of social ties in driving firms’ R&D activities in emerging economies.
THE SYSTEMIC IMPACT ON THE ENVIRONMENT OF THE CLOSURE OF THE ŞOTÂNGA MINE EXPLOITATION, DÂMBOVIŢA COUNTY

The Şotânga mine belongs to S.N. C. S.A. Ploiesti and includes several exploitation areas located in the central/ part of the Dâmboviţa County. The lignite deposits are hosted into the Neogene strata (Miocene and Pliocene) of the Şotânga – Gheboieni anticlinorium, in the contact area between the sub-Carpathians and the piedmont plain. The Şotânga 2 mine is situated in the Şotânga commune and is an area where underground mining activities were conducted between 1954 and 1994. The closure of the 2 Şotânga mine through the Government Ordinance 816/1998 was done in compliance with the Environmental Quality Restoration Program
China's Climate and Energy Policy: On Track to Low-carbon Growth?

China has become the world’s largest emitter of greenhouse gases, and in many ways is the linchpin of global climate change policy. If China’s coal use and carbon dioxide emissions keep growing alongside GDP then current global goals for limiting climate change will be out of reach. If, however, China manages to decouple its emissions trajectory from its economic growth then ambitious global emissions reductions scenarios remain feasible, and other industrialising countries may be inclined to emulate China’s pathway.