Miracle-dz/UniFAR-FTUs huggingface dataset:
Gradient-based Point Cloud Denoising with Uniformity

Point clouds captured by depth sensors are often contaminated by noises, obstructing further analysis and applications. In this paper, we emphasize the importance of point distribution uniformity to downstream tasks. We demonstrate that point clouds produced by existing gradient-based denoisers lack uniformity despite having achieved promising quantitative results. To this end, we propose GPCD++, a gradient-based denoiser with an ultra-lightweight network named UniNet to address uniformity. Compared with previous state-of-the-art methods, our approach not only generates competitive or even better denoising results, but also significantly improves uniformity which largely benefits applications such as surface reconstruction.
Axonemal regulation by curvature explains sperm flagellar waveform modulation

Flagellar motility is critical to natural and many forms of assisted reproduction. The rhythmic beating and wave propagation by the flagellum propels sperm through fluid and enables modulation between penetrative progressive motion, activated side-to-side yaw and hyperactivated movement associated with detachment from epithelial binding. These changes occur in response to the properties of the surrounding fluid environment, biochemical activation state, and physiological ligands, however a parsimonious mechanistic explanation of flagellar beat generation that can explain motility modulation is lacking. In this paper we present the Axonemal Regulation of Curvature, Hysteretic model (ARCH), a curvature control-type model based on switching of active moment by local curvature, embedded within a geometrically nonlinear elastic model of the flagellum exhibiting planar flagellar beats, together with nonlocal viscous fluid dynamics. The biophysical system is parameterised completely by four dimensionless parameter groupings. The effect of parameter variation is explored through computational simulation, revealing beat patterns that are qualitatively representative of penetrative (straight progressive), activated (highly yawing) and hyperactivated (non-progressive) modes. Analysis of the flagellar limit cycles and associated swimming velocity reveals a cusp catastrophe between progressive and non-progressive modes, and hysteresis in the response to changes in critical curvature parameter. Quantitative comparison to experimental data on human sperm exhibiting typical penetrative, activated and hyperactivated beats shows a good fit to the time-average absolute curvature profile along the flagellum, providing evidence that the model is capable of providing a framework for quantitative interpretation of imaging data.
Spatial Aware Multi-Task Learning Based Speech Separation

During the Covid, online meetings have become an indispensable part of our lives. This trend is likely to continue due to their convenience and broad reach. However, background noise from other family members, roommates, office-mates not only degrades the voice quality but also raises serious privacy issues. In this paper, we develop a novel system, called Spatial Aware Multi-task learning-based Separation (SAMS), to extract audio signals from the target user during teleconferencing. Our solution consists of three novel components: (i) generating fine-grained location embeddings from the user's voice and inaudible tracking sound, which contains the user's position and rich multipath information, (ii) developing a source separation neural network using multi-task learning to jointly optimize source separation and location, and (iii) significantly speeding up inference to provide a real-time guarantee. Our testbed experiments demonstrate the effectiveness of our approach
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Noisy label Facial Expression Recognition (FER) is more challenging than traditional noisy label classification tasks due to the inter-class similarity and the annotation ambiguity. Recent works mainly tackle this problem by filtering out large-loss samples. In this paper, we explore dealing with noisy labels from a new feature-learning perspective. We find that FER models remember noisy samples by focusing on a part of the features that can be considered related to the noisy labels instead of learning from the whole features that lead to the latent truth. Inspired by that, we propose a novel Erasing Attention Consistency (EAC) method to suppress the noisy samples during the training process automatically. Specifically, we first utilize the flip semantic consistency of facial images to design an imbalanced framework. We then randomly erase input images and use flip attention consistency to prevent the model from focusing on a part of the features. EAC significantly outperforms state-of-the-art noisy label FER methods and generalizes well to other tasks with a large number of classes like CIFAR100 and Tiny-ImageNet. The code is available at https://github.com/zyh-uaiaaaa/Erasing-Attention-Consistency.
Error Compensation Framework for Flow-Guided Video Inpainting

The key to video inpainting is to use correlation information from as many reference frames as possible. Existing flow-based propagation methods split the video synthesis process into multiple steps: flow completion ->pixel propagation ->synthesis. However, there is a significant drawback that the errors in each step continue to accumulate and amplify in the next step. To this end, we propose an Error Compensation Framework for Flow-guided Video Inpainting (ECFVI), which takes advantage of the flow-based method and offsets its weaknesses. We address the weakness with the newly designed flow completion module and the error compensation network that exploits the error guidance map. Our approach greatly improves the temporal consistency and the visual quality of the completed videos. Experimental results show the superior performance of our proposed method with the speed up of x6, compared to the state-of-the-art methods. In addition, we present a new benchmark dataset for evaluation by supplementing the weaknesses of existing test datasets.
Comparison of postural balance between female and male adolescents

Correspondence to: Patrícia Paludette Dorneles – Universidade Federal de Santa Maria – Centro de Educação Física e Desportos – Faixa de Camobi, km 9 – Avenida Roraima, 1000 – CEP: 97105-900 – Santa Maria (RS), Brasil – E-mail: patriciapaludette@gmail.com Presentation: Aug. 2012 – Accepted for publication: Jul. 2013 – Financing source: none – Conflict of interests: nothing to declare – Presentation at a scientific event: I Congresso de Iniciação Científica de Pós-Graduação – Approval at the Ethics Committee n. 0083.0. 243.000-09. Comparison of postural balance between female and male adolescents Comparação do equilíbrio postural entre adolescentes do sexo feminino e masculino Comparación del equilibrio postural entre adolescentes del sexo femenino y masculino Patrícia Paludette Dorneles, Gabriel Ivan Pranke, Carlos Bolli Mota
Efficacy of selected insecticides and essential oils of botanicals against thrips ( Scirtothrips dorsalis Hood) on chilli ( Capsicum annuum L.)

A field trail was conducted at the Central field, Department of Entomology SHUATS, Prayagraj during kharif August to November 2019. Seven treatments were evaluated against Scirtothrips dorsalis i.e T1 fipronil 5 SC @ 2ml/lit, T2 Acetamipride 20 SP @ 0.3g/lit T3 Imidacloprid 17.8 SL @ 0.2ml/lit, T4 Pongamia oil @ 6ml/lit, T5 Eucalyptus @ 10ml/lit, T6 Basil oil @ 1ml/lit, T7 Neem oil @ 2.5ml/lit against chilli thrips ( Scirtothrips dorsalis ). Result revealed that among the different treatments T1 Fipronil (93.82%) proved to be the most effective treatments followed by T3 Imidacloprid (92.30%), T2 Acetamipride (90.13%), T7 Neem oil (88.69%), T5 Eucalyptus oil (87.28%) and T4 Pongamia oil (86.48%), whereas T6 Basil oil (84.28%) was found to be least effective against this pest. the plot treated with T1 Fipronil 5 SC show highest yield (112 q/ha), followed by T3 Imidacloprid 17.8 SL (105 q/ha), T2 Acetamipride 20 SP (96 q/ha), T7 Neem oil (86 q/ha), T5 Eucalyptus oil (80 q/ha), T4 Pongamia oil (75 q/ha) and T6 Basil oil (72 q/ha) as compared to control T0 (55 q/ha).
Efficacy of postoperative oral tepoxalin after decompressive surgery in dogs with degenerative lumbosacral stenosis

Twenty-three client-owned dogs with degenerative lumbosacral stenosis (DLS) treated by decompressive surgery were included in this study. The dogs were assigned to postoperative medication protocols of tepoxalin (10 mg/kg, SID) for 2 weeks (8 dogs, group 1), of tepoxalin (10 mg/kg, SID) for 6 weeks (7 dogs, group 2), and of carprofen (2 mg/kg, BID) for 2 weeks (8 dogs, group 3). Gait function after decompressive surgery of the dogs was evaluated by force plate analysis (FPA) and questionnaires filled out by their owners. FPA was performed before surgery, and at 4 days, 6 weeks, and 6 months after surgery. Peak vertical (Fz + ), braking (Fy + ), and propulsive forces (Fy - ), and also pelvic/thoracic (P/T) limb ratio of Fz + (P/TFz + ), Fy + (P/TFy + ), and Fy - (P/TFy - ) were determined. Questionnaires were completed by the owners before surgery, and at 6 weeks and 6 months after surgery. During the period of the study, the Fz + , Fy + and Fy - of the most affected pelvic limb were not different among the groups. The P/TFy - decreased at 4 days after surgery in all groups, but the difference was not significant. At 6 weeks and 6 months after surgery, there was no significant difference in the P/TFy - of the dogs in groups 1, 2, and 3. From the questionnaires, the majority of owners were moderately to very satisfied with the result of surgery. In conclusion, tepoxalin has similar postoperative anti-inflammatory and analgesic efficacy to carprofen in dogs with DLS that undergo decompressive spinal surgery.
Gametophyte and sporophyte crosstalk during fertilization in Arabidopsis

Embryo, endosperm and seed coat are the three tissues forming a mature Arabidopsis seed. Their development and differentiation start soon after the fertilization: embryo and endosperm derives from the fusion between male and female gametes, whereas the seed coat comes from the differentiation of the ovule integuments. It is a five-layer tissue surrounding the female gametophyte; the innermost layer of the seed coat is called endothelium and is deputed to the synthesis and accumulation of proanthocyanidins. It has been demonstrated that two MADS Box transcription factors, STK and ABS, collaborate in defining the identity of this layer. Indeed, the stk abs double mutant does not differentiate the endothelium and since there is no accumulation of PA, this double mutant seeds appear yellow instead of the typical brownish color of the wild type seeds. Other phenotypes characterize this mutant: a drastic reduction of the fertilization rate and a huge accumulation of starch in the mature ovules surrounding the central cell are noted. In this work we show that this two phenotypes are linked: indeed,
An investigation of pedigree dog breeding and ownership in the UK : experiences and opinions of veterinary surgeons, pedigree dog breeders and dog owners

Pedigree dog welfare in the United Kingdom is a controversial subject. This PhD aimed to investigate small animal veterinary surgeons’ (VS), pedigree dog breeders’ (PDB) and owners’ perceptions surrounding canine health, their roles, information acquisition and the quality of online resources available to new dog owners. Via a mixed-methods approach VS and PDB were asked about their perceptions of pedigree dog welfare using online questionnaires. Focus groups were then used to explore these parties’ opinions on advising dog owners and buyers. Dog owners were administered an online questionnaire to explore drivers of dog acquisition and sourcing of information about canine health. A further sample of dog owners provided possible internet search terms they would use to find information on how to care for a new dog. These terms were used for a scoping review to examine the quality of available information. The VS and PDB exhibited varied perceptions relating to pedigree dog breeding, inherited disease and health screening programmes. Each group considered themselves the most knowledgeable on these topics and lacked clarity on how their roles interrelated. Focus groups showed conflicting views on advising dog owners and buyers. Dog owners varied in their drivers for ownership, from whom they obtained information and the internet search terms used when looking for information online. The scoping review identified a lot of easy to understand, poor quality information. VS and PDB need to better understand and appreciate each others’ roles, perspectives and knowledge to instigate effective collaboration and improve pedigree dog health. Owners are diverse and require a multifaceted educational approach to improve knowledge. The quality of online information for owners needs to be made clear and a coordinated approach involving all stakeholders is required to enable dissemination of practical, evidence-based information on pedigree dog health.
The determining factors of farmers’ water conservation behavior in agricultural sector: A case from farmers of the Southern Basin of Lake Urmia

Lake Urmia is one of the endangered ecosystems in Iran that needs to revivification as soon as possible. The assumption of the research is if farming systems, which interact with such ecosystem, save water; it will be possible to revitalize a part of the lake. To address this issue, this contribution hypothesizes whether the determining factors, which include the environmental NGOs’ effectiveness, the requirement to NGOs’ water interventions, responsibility, indulgence, and perceived behavior control, explain the water conservation behavior (WCB). We selected a representative sample of 368 farmers (N ≈ 23750) using the stratified random sampling method. They were surveyed via the questionnaire. A group of faculty members in the field of agricultural extension and education delivered their recommendations to approve of the face validity of the questionnaire. After performing a pilot study, we used the Confirmatory Factor Analysis (CFA) and Cronbach’s Alpha to assess the reliability of indices in the questionnaire. Using the multiple regression analysis, results indicated that factors, i.e., the perceived behavioral control (the strongest predictor), environmental NGOs’ effectiveness, and the requirement to NGOs’ water interventions could entirely contribute to explain 0.53% of the variance in WCB. Those farmers with the greater behavioral control were more likely to declare less perception toward the environmental NGOs’ effectiveness, and the less perceived need for environmental NGOs’ water interventions. In conclusion, the contribution delivers implications based on the research findings.
Non-exercise models for prediction of aerobic fitness and apllicability on epidemiological studies: descriptive review and analysis of the studies

A low cardiorespiratory fitness is an independent risk factor for mortality from all causes, but mainly for coronary heart disease. Nevertheless, there are many difficulties to evaluate it by exercise testing in the epidemiological context. Alternative forms of evaluation have therefore been suggested using non-exercise regression models. This study aimed to review and critically analyze these models and their applicability in epidemiological studies. A systematic review was conducted considering papers published between 1966 and 2002. There were selected 24 studies attending the inclusion criteria. Only five of them related the standard error of estimation (SEE), the equation fully reported, present a higher sample size and made the cross-validation. These studies presented a higher adjusted R2, what mean the quality and the prediction power of them. The authors conclude that cardiorespiratory evaluation by non-exercise models in epidemiological studies could be feasible. However, few models seem to fulfill the minimum external validation requirements to provide data that could be generalized for large populations.
Forest fires and other examples of self-organized criticality

We review the properties of the self-organized critical (SOC) forest-fire model. The paradigm of self-organized criticality refers to the tendency of certain large dissipative systems to drive themselves into a critical state independent of the initial conditions and without fine tuning of the parameters. After an introduction, we define the rules of the model and discuss various large-scale structures which may appear in this system. The origin of the critical behaviour is explained, critical exponents are introduced and scaling relations between the exponents are derived. Results of computer simulations and analytical calculations are summarized. The existence of an upper critical dimension and the universality of the critical behaviour under changes of lattice symmetry or the introduction of immunity are discussed. A survey of interesting modifications of the forest-fire model is given. Finally, several other important SOC models are briefly described.
Transcriptome and mebabolomic pro ling: the effect of LED light quality on morphological traits, and phenylpropanoid-derived compounds accumulation in Sarcandra glabra seedlings

Dejin Xie Fujian Agriculture and Forestry University https://orcid.org/0000-0003-4879-4981 Lingyan Chen Fujian Agriculture and Forestry University Chengcheng Zhou Fujian Agriculture and Forestry University Muhammad Waqqas Khan Tarin Fujian Agriculture and Forestry University Deming Yang Fujian Agriculture and Forestry University Ke Ren Fujian Agriculture and Forestry University Tianyou He Fujian Agriculture and Forestry University Jundong Rong Fujian Agriculture and Forestry University Yushan Zheng (  zys1960@163.com )
2020 BEST PIC III PAPER and BEST OVERALL PAPER WINNER - Do Open-EndedDesignProjects Motivate First-Year Engineering Students?

This complete research paper examines students’ situational motivation responses to open-ended design projects with varying degrees of autonomy control in a freshman Introduction to Engineering course. Four sections of the course were given different project themes with different constraints on scope and materials. The Situational Motivation Scale (SIMS) survey, an instrument to measure four types of motivation (intrinsic motivation, identified regulation, external regulation and amotivation) based on Self-Determination Theory (SDT), was administered weekly to the students enrolled in the four sections during the nine-week open-ended design project. A Basic Needs Satisfaction Scale (BNSS) survey was given at the end of the semester to measure the degree to which three basic psychological needs, autonomy, relatedness, and competence, were satisfied. Quantitative analysis reveals that the open-ended design project with the least constraints prompts more positive self-determination compared to the one with the most constraints. The provision of choice and control has a more prominent impact on female students’ motivation than on male students. The perceived need satisfaction of competence may play a role in shaping students’ motivational responses.
Exploration of the patterns of microbial colonization of intravascular devices in severely ill patients

Innovations in healthcare have led to survival of a higher proportion of critically-ill, elderly and immuno-compromised patients. Intravascular devices (IVDs) are indispensable in providing safe, reliable vascular access and continuous haemodynamic monitoring of these patients in the intensive care unit. Unfortunately, many healthcare-acquired or nosocomial infections in severely ill patients can be caused by the very medical devices that are implanted to provide life-sustaining care. IVDs comprising peripheral arterial catheters (ACs), non-tunnelled short-term central venous catheters (CVCs) and peripherally-inserted central catheters (PICCs) breach the skin and provide a potential avenue for external micro-organisms to invade the tissue or bloodstream. All IVDs are associated with a risk of both local and systemic catheter-related bloodstream infection (CRBSI).
Equilibrium forest demography explains the distribution of tree sizes across North America

The distribution of tree sizes within a forest strongly in ﬂ uences how it will respond to disturbances and environmental changes such as future climate change and increases in atmospheric CO 2 . This means that global vegetation models must include variation in tree size to accurately represent carbon sinks, such as that seen in North America. Here we use an analytical model of large-scale forest demography which assumes tree growth varies as a power of tree diameter whilst tree mortality is independent of size. The equilibrium solutions of this model are able to accurately reproduce the tree-size distributions, for 61 species and four plant functional types, measured across North America, using just a single species-speci ﬁ c ﬁ tting parameter, μ , which determines the ratio of mortality to growth. The predictions of metabolic scaling theory for tree-size distributions are also tested and found to deviate signi ﬁ cantly from observations and that maybe explained by the assumptions made about how individual trees ﬁ ll the available space. We show that equilibrium forest demography implies a single curve that relates mean tree diameter to μ , and that this can be used to make reasonable estimates of the whole dataset mean trunk diameter by ﬁ tting only to the larger trees. Our analysis suggests that analytical solutions such as those in this paper may have a role in aiding the understanding and development of next-generation Dynamic Global Vegetation Models based on ecosystem demography.
This information is current as Lymphocyte Subset B − IgM + Where It Defines an IgD CCR 7 Is Mainly Expressed in Teleost Gills ,

Print ISSN: 0022-1767 Online ISSN: 1550-6606. Immunologists, Inc. All rights reserved. Copyright © 2013 by The American Association of 9650 Rockville Pike, Bethesda, MD 20814-3994. The American Association of Immunologists, Inc., is published twice each month by The Journal of Immunology at U N IV E R IT A E T -U N D L A N D E SB IB L IO T H E K D U E SE L D O R F on D ecem er 9, 2013 hp://w w w jim m unl.org/ D ow nladed from
Study on Actuator Line Modeling of Two NREL 5-MW Wind Turbine Wakes

The wind turbine wakes impact the efficiency and lifespan of the wind farm. Therefore, to improve the wind plant performance, research on wind plant control is essential. The actuator line model (ALM) is proposed to simulate the wind turbine efficiently. This research investigates the National Renewable Energy Laboratory 5 Million Watts (NREL 5-MW) wind turbine wakes with Open Field Operation and Manipulation (OpenFOAM) using ALM. Firstly, a single NREL 5-MW turbine is simulated. The comparison of the power and thrust with Fatigue, Aerodynamics, Structures, and Turbulence (FAST) shows a good agreement below the rated wind speed. The information relating to wind turbine wakes is given in detail. The top working status is proved at the wind speed of 8 m/s and the downstream distance of more than 5 rotor diameters (5D). Secondly, another case with two NREL 5-MW wind turbines aligned is also carried out, in which 7D is validated as the optimum distance between the two turbines. The result also shows that the upstream wind turbine has an obvious influence on the downstream one.