Miracle-dz/UniFAR-FTUs huggingface dataset:
Senna reticulata (Willd.) H. S. Irwin & Barneby (Fabaceae) AS "PASTURE KILLER" ("MATAPASTO") PIONEER TREE IN AMAZONIAN FLOODPLAINS Senna reticulata (Willd.) H.S.Irwin & Barneby (Fabaceae) "MATAPASTO", ÁRBOL PIONERO EN LAS PLANICIES INUNDABLES AMAZÓNICAS

Senna reticulata (Willd.) H. S. Irwin & Barneby (Fabaceae) is a pioneer tree which colonizes open areas in Amazonian floodplains. It is very abundant throughout Amazonia along the nutrientrich whitewater rivers, and can be considered to be one of the most efficient colonizers of open areas. It possesses a very high tolerance towards flooding of the roots and stem, and performs extremely high photosynthetic assimilation and fast growth despite prolonged waterlogging. Efficient seed dispersal and the ability of resprouting after a period of unfavourable conditions add to its effectiveness. These features led the local people to consider Senna reticulata a noxious woody weed called ‘matapasto’ (“pasture killer”) although in the successional sequence it represents a short-lived woody stage which enhances the establishment of highly diverse forests.
Correction: A Genome-Wide Longitudinal Transcriptome Analysis of the Aging Model Podospora anserina

The species name "Podospora anserina" is spelled incorrectly in the article title. The correct title is: "A Genome-Wide Longitudinal Transcriptome Analysis of the Aging Model Podospora anserina. " The correct Citation is: Philipp O, Hamann A, Servos J, Werner A, Koch I, et al. (2013) A Genome-Wide Longitudinal Transcriptome Analysis of the Aging Model Podospora anserina. PLoS ONE 8(12): e83109. doi:10.1371/journal.pone. 0083109
Dimethylamine in cloud water: a case study over the northwest Atlantic Ocean †

This study analyzes characteristics of an important alkyl amine species, dimethylamine (DMA), in cloud water over the northwest Atlantic. Data were gathered from the winter and summer 2020 deployments of the Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) on board the HU-25 Falcon. Thirty-eight out of 98 samples exhibited DMA above detection limits, with the overwhelming majority in the winter season (33, 52% of winter samples) compared to summer (5, 14% of summer samples). Higher levels of DMA were observed in the winter, especially during cold air outbreaks (CAOs), which was also the case for NO 3 − , NH 4+ , and non sea salt-SO 42 − . This is in part due to a combination of low temperatures and o ﬀ shore ﬂ ow enhanced with continental pollutants such as from agriculture, industry, urban activity, and biomass burning. Unlike the inorganic acidic anions, oxalate was signi ﬁ cantly correlated to DMA in summer and the winter in both CAO and non-CAO conditions, with a presumed reason being biomass burning supported by the consistent correlation between DMA and nss-K + in each season. ACTIVATE data are compared to a cloud water dataset from the northeast Paci ﬁ c, with the latter exhibiting much higher DMA levels due possibly to more abundant ocean biological emissions. The seasonal di ﬀ erences and enhancement in DMA during CAO conditions relative to non-CAO winter days motivates continued research into the partitioning behavior of DMA and its sources as amines play an important role in carbon and nitrogen cycles in the marine environment
Beneficial Effects of Cropping Sequences and Nutrients Management for Better Yield and Quality Advantages of Fababean ( Vicia faba L.)

: Cropping sequences have been shown to increase crop yields and improve land utilization in many cases, but it is unknown are the integration of cropping sequences and nutrients management can be enhanced and improved crop production, as well as better quality or not? Thus, two field experiments were conducted in the Experimental Research Station, National Research Centre, Nubaria District, Behaira located about 150 km from the National Research Centre and about 13 km east of Cairo/Alexandria desert road (30° 91 N latitude, 29° 96 E longitude and almost at an altitude of 14 m above the sea). The objective of the experiments was to evaluate the effect of cropping sequences and nutrients management on fababean yield and yield components, as well as quality traits. The experiments included three cropping sequences i.e., (peanut - fababean - maize), (maize - fababean - peanut) and (sunflower - fababean - peanut) and ten fertilizer treatments viz., three N levels 40, 60 and 80 kg N fed alone or in combination with Zn NPs applied once or twice compared with control 1 treatment
Effect of Crossing Boer with Damascus Goats on Productive and Reproductive Performance

: The aim of this work was studying the effect of crossing Boer with Damascus on productive and reproductive performance of goats. The results cleared the crossed kids (males and females) were superior weight at birth and weaning (P<0.01) and average daily gain (P<0.05) comparing to pure kids. Also, crossed kids (single and twin) had higher birth weight (P<0.01); weaning weight (P<0.05) and average daily gain (P<0.05). In general, male and single kids were heaver birth weight (P<0.05 and P<0.01, respectively); weaning weight and higher average daily gain than female and twin kids. Sex ratio (male: female) and single: twins were 61.54:38.46 and 23.08:76.92 in pure kids and 57.14: 42.86 and 42.86:57:14 in crossed kids. Fertility percent was the same for Boer and Damascus does (100%), while, kidding percent was high in Boer does (162.5%) when compare to Damascus does (140%). Crossed kids had lower mortality percent (4.76%) than pure kids (15.38%). Twins; males and females pure kids recorded the highest mortality percent (20.00%; 18.755% and 10.00 %, respectively).
Modeling of Market Risk by Elliptical Copulas Under the Condition of Coherence: Theory and Application

—The VaR (Value at Risk), apart from its widespread application in the banking sector to assess risks (operational, market, etc.), turns out to be an incoherence risk measure if it’s based on non-elliptical distributions. Indeed, this part will be devoted to the study of the risk measure VaR in a space of elliptical distributions (elliptical copulas) for a given portfolio, and verify that this risk measure is coherent in the Artzner sense if we work in an elliptical space, or even spherical. Finally, the VaR copula calculation for the same portfolio made up of n risk factors will be compared to other VaR calculation methods (historical VaR, parametric VaR, Monte Carlo VaR and Expected-Shortfall).
Accuracy Versus Falsiﬁcation Costs: The Optimal Amount of Evidence under Different Procedures

An arbiter can decide a case on the basis of his priors or he can ask for further evidence from the two parties to the conﬂict. The parties may misrepresent evidence in their favor at a cost. The arbiter is concerned about accuracy and low procedural costs. When both parties testify, each of them distorts the evidence less than when they testify alone. When the ﬁxed cost of testifying is low, the arbiter hears both, for intermediate values one, and for high values no party at all. The arbiter’s ability to remain uninformed as well as sequential testifying makes it more likely that the arbiter requires evidence. ( JEL D82, K41, K42)
Having a Longer View on Downtown Living

Abstract Steven Levin's painting Clouds depicts the interior of a studio apartment in the warehouse district of Minneapolis. The downtown building, which formerly housed a John Deere factory, illustrates one type of downtown housing discussed in Eugenie Birch's Longer View article. Levin lives and works in Minneapolis and has exhibited widely, including with the Plein Air Painters of America, the Salmagundi Club in New York City, and the Royal Society of Portrait Painters in London. Thanks to the Gandy Gallery (http://www.gandygallery.com/) for their help in securing use of this image. Many American cities are experiencing a rise in the number of residents in their downtowns. This phenomenon has deep roots but is extremely fragile. Six approaches to developing downtown housing dominate the arrangements. The public and private sectors have cooperated in many ways to attract this type of investment. Downtown housing, however, is only one part of the larger puzzle of urban revitalization and metropolitan growth. Many questions regarding the nature of downtown land uses, including the relationship between housing and employment, remain. This article presents statistical evidence regarding downtown housing for 45 cities and outlines the approaches many have employed to capture these housing units. It also demonstrates the difficulty of defining a city's downtown.
Physical therapy and Pilates in the functionality and quality of life of people with multiple sclerosis

Background : Multiple Sclerosis is a chronic progressive disease that affects the Central Nervous System, causing destruction of myelin, and like many autoimmune diseases, it should be caused by a combination of environmental and genetic factors. Objective : To evaluate the influence of conventional physical therapy and the Pilates method in patients with Relapsing Remitting MS (RRMS) on their daily activities and quality of life. Methods : We retrospectively analyzed 25 medical records of patients submitted to Pilates (group A with 12 patients) and physical therapy (group B with 13 patients) with only one technique for each group from 2018 to 2019. Some scales were used: the Berg Balance Scale, Modified Fatigue Impact Scale (MFIS), MRC Medical Research Council Scale (MRC)
Editorial : a proposal

Introduction To support the design and evaluation of human centered ubiquitous technologies, we must explore the relationship between in situ capture and annotation to ex situ reflection, elaboration and exchange. In this document, I describe prior work that indicates why that relationship is important and provide research questions arising from this relationship. I then propose a project, Editorial, to explore these questions.
MIT Open Access Articles Graph homomorphisms between trees

In this paper we study several problems concerning the number of homomorphisms of trees. We begin with an algorithm for the number of homomorphisms from a tree to any graph. By using this algorithm and some transformations on trees, we study various extremal problems about the number of homomorphisms of trees. These applications include a far reaching generalization and a dual of Bollob´as and Tyomkyn’s result concerning the number of walks in trees. Some other main results of the paper are the following. Denote by hom( H, G ) the number of homomorphisms from a graph H to a graph G . For any tree T m on m vertices we give a general lower bound for hom( T m , G ) by certain entropies of Markov chains deﬁned on the graph G . As a particular case, we show that for any graph G ,
Accelerometers for CHAMP, GRACE and GOCE space missions: synergy and evolution

The STAR ultra-sensitive space accelerometer, based on the accurate electrostatic levitation of a parallelepiped proof-mass, is integrated at the center of the mass of the CHAMP satellite to be launched in 1999. STAR will perform the measurement of the non-gravitational accelerations which perturb the low-altitude orbit to be finely determined from the on-board GPS receiver, aiming at the recovery of the Earth's gravity field. The operation, design and technology of the accelerometer are well suited for optimization of the measurements provided for different mission performance requirements and environments. The Super-STAR instrument is designed keeping in view the two GRACE satellites, with a reduced full-scale range, and a resolution ten times better, leading to 10 -10 ms -2 over an 1 Hz bandwidth. The launching of the GRACE satellites is scheduled for 2001 and the GOCE project is a good candidate for a follow-on mission. The GOCE's on-board gradiometer can be composed of a very stable carbon-carbon structure with similar electrostatic accelerometers: taking advantage of the fine active thermal control of the instrument case and of the drag-free compensation system of the satellite, a few 10 -3 Eotvos can be reached at an altitude as low as 250 km.
MIT Open Access Articles Possibilities for an Aerial Biosphere in Temperate Sub Neptune-Sized Exoplanet Atmospheres

: The search for signs of life through the detection of exoplanet atmosphere biosignature gases is gaining momentum. Yet, only a handful of rocky exoplanet atmospheres are suitable for observation with planned next-generation telescopes. To broaden prospects, we describe the possibilities for an aerial, liquid water cloud-based biosphere in the atmospheres of sub Neptune-sized temperate exoplanets, those receiving Earth-like irradiation from their host stars. One such planet is known (K2-18b) and other candidates are being followed up. Sub Neptunes are common and easier to study observationally than rocky exoplanets because of their larger sizes, lower densities, and extended atmospheres or envelopes. Yet, sub Neptunes lack any solid surface as we know it, so it is worthwhile considering whether their atmospheres can support an aerial biosphere. We review, synthesize, and build upon existing research. Passive microbial-like life particles must persist aloft in a region with liquid water clouds for long enough to metabolize, reproduce, and spread before downward transport to lower altitudes that may be too hot for life of any kind to survive. Dynamical studies are needed to ﬂesh out quantitative details of life particle residence times. A sub Neptune would need to be a part of a planetary system with an unstable asteroid belt in order for meteoritic material to provide nutrients, though life would also need to efﬁciently reuse and recycle metals. The origin of life may be the most severe limiting challenge. Regardless of the uncertainties, we can keep an open mind to the search for biosignature gases as a part of general observational studies of sub Neptune exoplanets.
Context-Aware AI-Driven CRM: Enhancing Customer Journeys Through Real-Time Personalization and Predictive Analytics

- In the era of digital transformation, customer relationship management (CRM) has become a key component of business success. Traditional CRM systems, however, often fail to provide the level of personalization and responsiveness required to meet customers' ever-evolving expectations. This paper introduces a context-aware, AI-driven CRM framework that leverages real-time personalization and predictive analytics to enhance customer journeys. By integrating machine learning algorithms, natural language processing, and big data technologies, the proposed framework allows for dynamic and adaptive interactions with customers, ensuring a seamless and engaging experience across multiple touchpoints. We conducted an in-depth analysis of the framework's effectiveness in various industries, highlighting the benefits and challenges associated with its implementation. Our findings demonstrate that context-aware, AI-driven CRM systems significantly improve customer satisfaction, retention, and overall business performance. This research contributes to the ongoing efforts in advancing AI-powered CRM technologies and provides valuable insights for organizations seeking to revolution ize their customer engagement strategies.
Update on the clinical utility and practical use of ropivacaine in Chinese patients

: We reviewed the Chinese and English literature for efficacy and tolerability data as well as pharmacological properties of ropivacaine in Chinese patients. Ropivacaine is a long-acting amide local anesthetic agent that elicits nerve block via reversible inhibition of sodium ion influx in nerve fibers. The available evidence in the literature on anesthesia practice indicates that ropivacaine produces equally surgical sensory block and postoperative and obstetrics analgesia with good maternal and fetal outcome to those of bupivacaine or levobupivacaine. It appears to be associated with comparable onset, quality, and duration of sensory block, but with a lower incidence or grade of motor block, compared to bupivacaine. The satisfaction of both patients and surgeons is high when ropivacaine is used. Thus, ropivacaine appears to be an important option for regional anesthesia and for the management of postoperative and labor pain, with its enhanced sensorimotor differentiation blockage at lower concentrations and enhanced safety at higher concentrations.
Ecuadorian Companies' Assets, Income, and Corporate Social Responsibility

Financial statement income and Corporate Social Responsibility are debated worldwide. The purpose of this study is to determine the extent to which corporate social responsibility (CSR) initiatives have an impact on economic returns and asset accumulation. This will be accomplished by conducting an exhaustive analysis of the CSR reports of Ecuadorian companies in conjunction with their financial statements obtained from control agencies such as the Superintendence of Companies of Ecuador and the Internal Revenue Service. Logistic regression with regulatory data is used to verify monetary income and Corporate Social Responsibility application
Varietal Performances of Spinach ( Spinacia oleracea L.) at Coastal Region in Bangladesh

: Spinach is a common vegetable crop which are grown widely in everywhere at Bangladesh. A field study was conducted during Rabi season, 2019-2020 at Agricultural Research Fields in Noakhali Science and Technology University, Noakhali which is situated at coastal part of Bangladesh. Mainly 4 varieties of spinach ( Spinacia oleracea L.) were used to evaluate the varietal performances in the coastal region of Bangladesh. The treatments used in the experiment were T (Punjab all green), T (Kopi Palong), T (Sathi) and T (Evan) 1
Les sélecteurs minimaux et les réseaux tolérant aux pannes

A (p, λ, k)−network is an undirected graph with p+λ inputs, p+k outputs and internal vertices of degree four. A (p, λ, k)−network is valid if for any choice of p inputs and p outputs, there exist p edge-disjoint paths from the inputs to the outputs. In the special case λ = 0, a (p, λ, k)−network is already known as a selector. We wish to determine N(p, λ, k), the minimum number of nodes in a valid (p, λ, k)−network. For this, we present validity certificates from which derive lower bounds for N(p, λ, k). We also provide constructions, and hence upper bounds, based on expanders. The problem is very sensitive to the order of λ and k. For instance, when λ and k are small compared to p, the question reduces to avoid certain forbidden local configurations. For larger values of λ and k, the problem is to find graphs with a good expansion property for small sets. This lead us to introduce a new parameter called robustness. In many cases, we provide asymptotically tight bounds for N(p, λ, k). Key-words: on-board networks, selectors, superselectors, fault tolerance, switching networks, routing, expanders, connectivity, disjoint paths. ∗ Projet Mascotte (cnrs, inria, unsa), INRIA Sophia-Antipolis, 2004 route des Lucioles BP 93, 06902 Sophia-Antipolis Cedex, France † École Polytechnique, 91120 Palaiseau ‡ Projet Algorithmes, INRIA Rocquencourt, F-78153 Le Chesnay, France § This author is partialy supported by Région Provence Alpes Côte d’Azur Les sélecteurs minimaux et les réseaux tolérant aux pannes Résumé : Un réseau (p, λ, k) est un graphe non orienté avec p + λ entrées, p + k sorties et des noeuds internes de degré 4. Un réseau (p, λ, k) est valide si pour n’importe quel choix de p entrées et de p sorties il existe p chemins arêtes disjoints reliant les entrées aux sorties. Dans le cas particulier λ = 0, un réseau (p, λ, k) est un sélecteur. Notre objectif est de déterminer N(p, λ, k) : le nombre minimum de noeuds d’un réseau (p, λ, k) valide. Pour cela, on utilise une condition suffisante de validité qui nous permet d’obtenir les bornes inférieures pour N(p, λ, k). D’autre part on propose des constructions de réseaux valides utlisant des expandeurs, ce qui donne les bornes suppérieures. Le problm̀e dépend très fortement des ordres de λ et k, par exemple lorsque λ et k sont petits par rapport à p, certains patterns sont interdits. Pour les valeurs plus grandes de λ et k, on peut construire un réseau (p, λ, k) valide à partir d’un graphe ayant de bonne propriété d’expension concernant les petits ensembles de sommets. Cela nous emmène à introduire un nouveau paramètre : la robustness. On obtient dans de nombreux cas des bornes assymptotiques exactes. Mots-clés : réseaux embarqués, sélecteurs, supersélecteurs, tolérance aux pannes, réseaux de switchs, routage, expandeur, connectivité, chemins disjoints. Minimal Selectors and Fault Tolerant Networks 3
Spatiotemporal variability of evapotranspiration in Pantanal, Brazil, using satellite images

Despite the importance of evapotranspiration (ET) for the Pantanal, there are few studies about it. In this study we aim to estimate evapotranspiration in Pantanal by applying a spectral-agrometeorological model SAFER (Simple Algorithm for Retrieving Evapotranspiration) using satellite images and data from meteorological stations to analyze spatiotemporal variability of ET biome´s. We used 46 images taken by MODIS (Moderate Resolution Imaging Spectroradiometer) satellite, with a 250 m spatial resolution and a 16-day resolution time, covering rainy (October 2011 to March 2012) and dry (April to September 2012) periods. The SAFER model was effective to estimate ET large scale for rainy and dry season and was sensitive to variations observed in the land use class as well as the relation with the air temperature, solar radiation and rainfall. The highest values of ET were observed in the rainy season, due to the higher availability of water because of rainfall and higher incidence of solar radiation, and the smaller ET values were observed in the dry season.
Data Augmentation and the Improvement of the Performance of Convolutional Neural Networks for Heart Sound Classification

—The effective management and early diagnosis of cardiovascular diseases (CVDs) are crucial to bring down the mortality associated these diseases. Because detecting CVDs can be a difficult task, especially when no symptoms are present, developing systems that can detect CVDs or heart abnormalities automatically has attracted significant research attention in recent times. For this purpose, several convolutional neural networks (CNNs) learned using heart sound signals (i.e., the phonocardiogram or PCG) have been proposed. Generally, CNNs require a high volume of annotated training data to achieve high performance. However, annotated PCG (i.e., PCGs labelled as abnormal or normal) dataset is not sufficient for training CNNs. To address this issue, the classification performance of CNNs need to be improved, so that they can be trained even on an insufficient PCG database. In this study, we consider two data augmentation (DA) methods: window slicing with spectrogram, which slices a single PCG to generate multiple signals and transforms the signals into spectrogram data; the other is a synthetic spectrogram based generative adversarial network, which generates synthetic data. To demonstrate the validity of the two DA methods, we performed experiments concerning heart sound detection and discussed the results of the experiments in terms of accuracy, sensitivity, and specificity.