Miracle-dz/UniFAR-FTUs huggingface dataset:
Multistage Adaptive Point-Growth Network for Dense Point Cloud Completion

The point cloud data from actual measurements are often sparse and incomplete, making it difficult to apply them directly to visual processing and 3D reconstruction. The point cloud completion task can predict missing parts based on a sparse and incomplete point cloud model. However, the disordered and unstructured characteristics of point clouds make it difficult for neural networks to obtain detailed spatial structures and topological relationships, resulting in a challenging point cloud completion task. Existing point cloud completion methods can only predict the rough geometry of the point cloud, but cannot accurately predict the local details. To address the shortcomings of existing point cloud complementation methods, this paper describes a novel network for adaptive point cloud growth, MAPGNet, which generates a sparse skeletal point cloud using the skeletal features in the composite encoder, and then adaptively grows the local point cloud in the spherical neighborhood of each point using the growth features to complement the details of the point cloud in two steps. In this paper, the Offset Transformer module is added in the process of complementation to enhance the contextual connection between point clouds. As a result, MAPGNet improves the quality of the generated point clouds and recovers more local detail information. Comparing our algorithm with other state-of-the-art algorithms in different datasets, experimental results show that our algorithm has advantages in dense point cloud completion.
descriptive autopsy of suicidal deaths resulting from alcohol intoxication in Kenya

This study sought to find out the magnitude of fatalities resulting from suicide and their relation to alcohol intoxication to inform public health policy on the need for their prevention. Materials were all the bodies that fulfilled the criteria of violent fatal outcomes between June 1 2009, and May 31 2010. Bodies were categorised by gender and divided into 10 age groups of 10 years each. A complete forensic autopsy examination was done on each. This is a prospective study of suicidal deaths in Nairobi from June 1, 2009, to May 31, 2010. The study was undertaken at the city Mortuary, Nairobi. All cases of suicidal deaths for twelve consecutive months were included. Alcohol level estimation was done on a total of 400 study subjects. The 400 were consecutively selected as every fifth subject. This was a purposeful sampling. Data was entered on a proforma datasheet. The study concluded that violent deaths are a preventable public health problem in Kenya. Suicide contributes to violent deaths, the commonest mode of committing suicide is hanging, and suicidal deaths in Kenya are associated with alcohol intoxication. The study recommends that substance abuse should be interrogated more as a cause of self-destruction.
Effect of curvaton decay on the primordial power spectrum

We study the effect of curvaton decay on the primordial power spectrum. Using analytical approximations and also numerical calculations, we find that the power spectrum is enhanced during the radiation dominated era after the curvaton decay. The amplitude of the Bardeen potential is controlled by the fraction of the energy density in the curvaton at the time of curvaton decay. We show that the enhancement in the amplitude of the primordial curvature perturbation is, however, not large enough to lead to primordial black hole overproduction on scales which re-enter the horizon after the time of curvaton decay.
D.O.R.T. method as applied to electromagnetic subsurface sensing

The decomposition of the time reversal operator (D.O.R.T.) method allows detection and localization of point‐like scatterers through a very simple and robust process. Here, with the aim of applying this method to the detection and the localization of buried objects, we focus on the influence of the restriction of the measurements to a line of receivers. The finite size of the objects is also taken into account, as well as losses in the embedding medium. A simple behavior of the time reversal operator is exhibited, almost independent of the polarization, which permits one to detect scatterers in the resonance domain, with very low ambiguity. Experimental data obtained in an anechoïc chamber confirm our theoretical predictions.
Dimensionamento da movimentação interna de uma fábrica de embalagens de papel por meio da simulação de eventos discretos

Grandes estudos têm sido realizados envolvendo a aplicação da simulação para analisar e avaliar cenários alternativos a fim de propor soluções às atividades inerentes aos processos produtivos. O presente trabalho apresenta uma aplicação da simulação de eventos discretos em uma fábrica produtora de embalagens de papel ondulado como ferramenta para avaliar a utilização do transporte realizado por empilhadeiras no processo produtivo. O estudo demonstra o impacto na produção de embalagens devido às mudanças consideradas na movimentação interna. A aplicação da técnica de simulação permitiu verificar pontos de melhorias quanto à utilização das empilhadeiras e propor mudanças na movimentação interna de materiais, além de evitar o investimento equivocado na compra ou aluguel de mais empilhadeiras para a fábrica. As alterações realizadas provocaram um aumento de aproximadamente 5% na produção de embalagens e uma diminuição considerável no nível de estoque em processo, sem custo para a fábrica, tendo somente o rearranjo das empilhadeiras.
DISCOVERY OF TWO L AND T BINARIES WITH WIDE SEPARATIONS AND PECULIAR PHOTOMETRIC PROPERTIES

We present spatially resolved photometric and spectroscopic observations of two wide brown dwarf binaries uncovered by the Sondage Infrarouge de Mouvement Propre (SIMP) near-infrared proper motion survey. The first pair (SIMP J1619275+031350AB) has a separation of 0. ″691 (15.2 AU) and components T2.5+T4.0, at the cooler end of the ill-understood J-band brightening. The system is unusual in that the earlier-type primary is bluer in J − Ks than the later-type secondary, whereas the reverse is expected for binaries in the late-L to T dwarf range. This remarkable color reversal can possibly be explained by very different cloud properties between the two components. The second pair (SIMP J1501530−013506AB) consists of an L4.5+L5.5 (separation 0.″96, 30–47 AU) with a surprisingly large flux ratio (ΔJ = 1.79 mag) considering the similar spectral types of its components. The large flux ratio could be explained if the primary is itself an equal-luminosity binary, which would make it one of the first known triple brown dwarf systems. Adaptive optics observations could not confirm this hypothesis, but it remains a likely one, which may be verified by high-resolution near-infrared spectroscopy. These two systems add to the handful of known brown dwarf binaries amenable to resolved spectroscopy without the aid of adaptive optics and constitute prime targets to test brown dwarf atmosphere models.
Formação de padrões em meios granulares densos.

Os sistemas granulares sao conhecidos por apresentarem um comportamento em certos aspectos comparavel aos observados nos fluidos e alguns outros aos observados em solidos como, por exemplo, a formacao de padroes e a segregacao de particulas. Neste trabalho, realizamos simulacao em larga escala e obtemos padroes observados experimentalmente na injecao de graos de diferentes tamanhos numa celula de Hele-Shaw. Na simulacao utilizamos um modelo de Automata Celular Probabilistico de Gas de Rede (PLGA) definido numa rede triangular bi-dimensional e observamos que a formacao dos padroes esta relacionada tanto com o tamanho dos graos injetados, quanto com a probabilidade de movimento desses graos. Dos resultados da simulacao, fomos capazes de propor um modelo teorico simples para o fenomeno, que e produzido pelas altas tensoes impostas pela friccao entre os graos e entre estes e a celula. Como pode ser visto ao longo desse trabalho, com esse modelo teorico, fomos capazes de predizer a dimensao fractal dos padroes formados e mostrar que ela esta de acordo com os modelos de DLA (diffusion-limited aggregation). Recentemente, foi comprovado experimentalmente a dimensao fractal prevista por nosso modelo, num experimento que se obtem padroes formados por esferas de vidros dispostas entre as placas da celula de Helle-Shaw. %%%%Granular systems are known to present dynamical behavior which can be compared with that of fluids or that observed in solids. Pattern formation and segregation are some of the observable phenomena. In this work, we perform large scale simulations to obtain numerically the major features observed in grain-grain invasion experiment. A probabilistic lattice gas automata (PLGA) was used as model. Defined on a 2-dimensional triangular lattice, we observed that the patterns formed depends on the type of introduced grains, as well as on the probabilities of movement. From the results of these simulations, we were able to propose a theoretical framework for the phenomenon, which is produced by the high stress gradient regime imposed by friction between the grains and/or the plates. By means of such model, we obtain the fractal dimension of the patterns, which approaches the exponent characteristic of DLA (diffusion-limited aggregation). Recently, it was found, in an experiment with glass balls in a Helle-Shaw cells, a fractal dimension similar to that previously predict by our model.
Element-speciﬁc electronic and structural dynamics using transient XUV and soft X-ray spectroscopy

SUMMARY Transient extreme ultraviolet (XUV) and soft X-ray absorption techniques can measure element-speciﬁc ultrafast carrier and structural dynamics in materials or multilayer junctions. However, interpretation of the excited-state spectra is not straightforward. The core-hole couples with valence states, distorting the measured spectra. In this perspective, we describe the implementation and interpretation of XUV experiments. This description includes a guide for how to design a transient XUV/soft X-ray spectroscopy experiment by choosing a suitable edge and corresponding X-ray sources. We particularly focus on the rising use of XUV spectroscopy for understanding solar energy materials, such as measurements of polaron formation, electron and hole kinetics, and layer-resolved charge transport in junctions. The ability to measure photoexcited carriers in each layer of a multilayer junction, as well as associated reaction products, could prove particularly impactful in the study of molecules, materials, and their combinations that lead to functional devices in photochemistry and photoelectrochemistry. to be 390 G 100 cm 2 /V, which is comparable with the established value of 10 15 per cm 2 p-doped Si (450 (cid:4) 500 cm 2 /V s). 59 A charge transfer efﬁciency of 42% is also extracted from the measurement, and a surface recombination velocity at the Si-TiO 2 interface is calculated to be >200 cm/s.
Neonatal Aneurysm Rupture in a Child with a De Novo Variant to ANKRD17

Ankyrin repeat domain 17 (ANKRD17) is postulated to play a role in the integrity of blood vessels and has been reported to be associated with developmental delays, epilepsy, and growth restriction. Whereas ANKRD17-deficient mice have been demonstrated to experience catastrophic hemorrhages, vascular malformations have not been reported in human patients with pathogenic variants to ANKRD17. We report a term male neonate with a heterozygous de novo variant to ANKRD17 (ANKRD17; c6988 C > G, P.[P2330a]) who experienced subarachnoid hemorrhage from a ruptured aneurysm involving the left middle cerebral artery. He experienced acute symptomatic seizures and required clipping of his aneurysm at 35 days of life, later progressing to developing multifocal drug-resistant epilepsy. To our knowledge, this case represents the first report of a cerebrovascular malformation from a patient with ANKRD17. Further work is needed to investigate whether pathogenic variants to ANKRD17 can lead to cerebral aneurysms or other cerebrovascular malformations in children.
Image Disparity Estimation through Type-based Stereo Matching

This paper describes an image disparity estimation method using region-based stereo matching. Region-based disparity estimation yields a disparity map as the unit of segmented region. However it estimates disparity imprecisely because it not only has matching errors but also applies an identical way to disparity estimation, which does not consider each type of matched regions. To solve this problem, we proposes a disparity estimation method which considers the type of matched regions. That is, the proposed method classifies whole matched regions into a similar-matched region, a dissimilar-matched region, a false-matched region and a miss-matched region. We then performs proper disparity estimation for each type of matched regions. This method minimizes the error in estimating disparity which is caused by inaccurate matching and also improves the accuracy of disparity of the well-matched regions. The experimental results show the improved accuracy of the proposed method.
Seaside Renewable Energy Resources Literature Review

This review paper describes seaside renewable energy resources. The motivation and need behind this work are to give background literature on the use of climate change effects as a resource support for shallow geothermal-energy (seaside energy solutions) production. This leads to combating and mitigating climate change by using its effect to our advantage. As a part of my literature review as a report series, this report gives some background about seaside energy solutions relating to water quality and climate change. This review paper addresses all aspects of renewable energy. The methodology implemented in this review paper and other series was a systematic literature review process. After searching and collecting articles from three databases, they were evaluated by title, abstract and whole article then synthesized into the literature review. The key conclusion is that seaside renewable energy is mainly shallow geothermal-energy and most of the methods use climate change effects to their advantage such as sediment heat energy production. The main recommendation is to use the effects of climate change to combat and mitigate its causes and further consequences. The overall conclusions are built on the relationships between different aspects of the topics. The paper contributes a precise current review of renewable energy. It is the last part of a series of four review papers on climate change, land uplift, water resources, and these seaside energy solutions.
Nano-Clays for Cancer Therapy: State-of-the Art and Future Perspectives

To date, cancer continues to be one of the deadliest diseases. Current therapies are often ineffective, leading to the urgency to develop new therapeutic strategies to improve treatments. Conventional chemotherapeutics are characterized by a reduced therapeutic efficacy, as well as them being responsible for important undesirable side effects linked to their non-specific toxicity. In this context, natural nanomaterials such as clayey mineral nanostructures of various shapes (flat, tubular, spherical and fibrous) with adjustable physico-chemical and morphological characteristics are emerging as systems with extraordinary potential for the delivery of different therapeutic agents to tumor sites. Thanks to their submicron size, high specific surface area, high adsorption capacity, chemical inertia and multilayer organization of 0.7 to 1 nm-thick sheets, they have aroused considerable interest among the scientific community as nano systems that are highly biocompatible in cancer therapy. In oncology, the nano-clays usually studied are halloysite, bentonite, laponite, kaolinite, montmorillonite and sepiolite. These are multilayered minerals that can act as nanocarriers (with a drug load generally between 1 and 10% by weight) for improved stabilization, efficient transport and the sustained and controlled release of a wide variety of anticancer agents. In particular, halloysite, montmorillonite and kaolinite are used to improve the dissolution of therapeutic agents and to delay and/or direct their release. In this review, we will examine and expose to the scientific community the extraordinary potential of nano-clays as unique crystalline systems in the treatment of cancer.
Editorial – The affordances of art

This special issue on the theme of the affordances of art is organised around a lecture Erik Rietveld presented at the University of Twente on the occasion of being appointed as Socrates Professor. In his lecture, Erik describes three affordance-related aspects of the making practices at Rietveld Architecture-Art-Affordances (RAAAF), a visual art and architecture studio Erik and his brother Ronald Rietveld founded in 2006. The special issue includes 22 reflections on Erik’s lecture written by commentators from a broad range of different fields including art history, architecture, ecological psychology, dynamical systems cognitive science, anthropology, archaeology and the philosophy of 4e cognition. Erik and I provide a response that reflects on what it means to make philosophical art installations. The special issue also includes an interview conducted with art-historian Anja Novak reflecting on the potential of ecological-enactive cognitive science to further our understanding of experiential engagement with art. Finally, Erik has written an opinion article in which he sets out the next steps in his research programme of developing a conceptual framework for understanding ‘change-ability’ – skills for coordinating with a rapidly changing world. The key insight behind the framework is that changing the affordances of the living environment can contribute to changing otherwise rigid and undesirable patterns of behaviour. Erik reflects on the role that artworks can play in inviting reflection on how the practices that organise and shape human life could be different, a task that is increasingly urgent in a time when removing obstacles to change is necessary.
Valeurs propres des endomorphismes de Frobenius

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Sparse Arrays: Vector Sensors and Design Algorithms

Direction-of-arrival (DOA) estimation of acoustic sources is of great interest in a number of applications. Acoustic vector sensors (AVSs) provide an edge over traditional scalar sensors since they measure the acoustic velocity field in addition to the acoustic pressure. It is known that a uniform linear array (ULA) of M conventional scalar sensors can identify up to M-1 DOAs. However, using second-order statistics, the class of sparse scalar sensor arrays have been shown to identify more source DOAs than the number of sensors. In this thesis, we extend these results using sparse AVS arrays. We first assume that the sources are quasi-stationary and use the Khatri-Rao subspace approach to estimate the source DOAs. In addition, a spatial-velocity smoothing technique is proposed to estimate the DOAs of stationary sources. For both scenarios, we show that the number of source DOAs that can be identified is significantly greater than the number of physical vector sensors. The second problem considered in this thesis is sensor selection for non-linear models. It is often necessary to guarantee a certain estimation accuracy by choosing the best subset of the available set of sensors. A non-linear measurement model in additive Gaussian noise is considered. To solve the sensor selection problem, which is inherently combinatorial, a greedy algorithm based on submodular cost functions is developed. The proposed low-complexity greedy algorithm is computationally attractive as compared to existing sensor selection solvers for non-linear models. The submodular cost ensures optimality of the greedy algorithm.
Examining the Associations between Post-Stroke Cognitive Function and Common Comorbid Conditions among Stroke Survivors

A considerable complication for stroke survivors is the subsequent development of cognitive decline or dementia. In this study, the relationship between the inflammation-centered comorbidity burden on post-stroke cognitive function among community-dwelling stroke survivors capable of independent living was examined. Data for this secondary analysis were collected from stroke survivors (n = 97) participating in a randomized clinical trial. Participants provided baseline responses, regarding cognitive function (mini-mental status exam, MMSE; Montreal cognitive assessment, MoCA), history of stroke comorbid conditions, and the Stroke Prognosis Instrument-II (SPI-II), an index of stroke comorbidity and recurrent stroke risk within the next two years. Relationships and differences between groups were tested for significance using Spearman’s correlation, Kruskal–Wallis, or Mann–Whitney U tests. Most stroke survivors (69%) had multiple comorbidities. Total SPI-II scores were negatively correlated to both MoCA and MMSE scores (r = −0.25, p = 0.01; r = −0.22, p = 0.03, respectively), and differences in MoCA scores among SPI-II risk groups (low, medium, high) were evident (p = 0.05). In contrast, there were no differences in MoCA or MMSE scores when comorbid conditions were examined individually. Lastly, no gender differences were evident in cognitive assessments. Our data support the premise that comorbidity’s burden impacts post-stroke cognitive decline, more than a single comorbid condition. Inflammation may be an important component of this comorbidity burden. Future studies that operationalize this concept will better illuminate the complex phenomenon of post-stroke cognitive decline for improved clinical rehabilitation modalities.
Risk and uncertainty of plastic mulch adoption in raspberry production systems

Abstract Agriculture plays a central role in providing food security and essential goods globally. Producers must consider and manage risk to ensure that the production system and its associated individuals are capable of enduring unexpected and disruptive events. Analyzing the different types of risk and accompanying uncertainties that growers experience can be essential to better reflect and understand the realities of their circumstances, but these concepts are not always accounted for in the adoption process. Drawing on the importance of risk and uncertainty, this study aims to assess the different types of risk and uncertainties involved in the risk decision-making process of the processed raspberry industry, where plastic mulch is a new production technique. Semi-structured interviews were conducted with participants involved in the use, research, outreach, manufacturing, and distribution of plastic mulch, specifically polyethylene (PE) mulch and soil-biodegradable mulch (BDM). Findings indicate that risk can be present in various forms including production, price, and hidden risks, with production and price risks being the most significant to all participants. When accounting for overall risk, PE mulch was considered riskier to industry representatives but less risky to growers and most research and outreach specialists. BDM was considered risky due to the uncertainties about durability, degradability, and the unknown impacts on the environment if BDM fragments do not degrade readily. The application of PE mulch and/or BDM can be beneficial for the raspberry production systems but will require time for additional research and effort to disseminate information to a wider agricultural audience.