Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequential Neural Rendering with Transformer

This paper address the problem of novel view synthesis by means of neural rendering, where we are interested in predicting the novel view at an arbitrary camera pose based on a given set of input images from other viewpoints. Using the known query pose and input poses, we create an ordered set of observations that leads to the target view. Thus, the problem of single novel view synthesis is reformulated as a sequential view prediction task. In this paper, the proposed Transformer-based Generative Query Network (T-GQN) extends the neural-rendering methods by adding two new concepts. First, we use multi-view attention learning between context images to obtain multiple implicit scene representations. Second, we introduce a sequential rendering decoder to predict an image sequence, including the target view, based on the learned representations. We evaluate our model on various challenging synthetic datasets and demonstrate that our model can give consistent predictions and achieve faster training convergence than the former architectures.
First Radio Evidence for Impulsive Heating Contribution to the Quiet Solar Corona

This Letter explores the relevance of nanoflare-based models for heating the quiet Sun corona. Using meterwave data from the Murchison Widefield Array, we present the first successful detection of impulsive emissions down to flux densities of ∼mSFU, about two orders of magnitude weaker than earlier attempts. These impulsive emissions have durations ≲1 s and are present throughout the quiet solar corona. The fractional time occupancy of these impulsive emissions at a given region is ≲10%. The histograms of these impulsive emissions follow a power-law distribution and show signs of clustering at small timescales. Our estimate of the energy that must be dumped in the corona to generate these impulsive emissions is consistent with the coronal heating requirements. Additionally, the statistical properties of these impulsive emissions are very similar to those recently determined for magnetic switchbacks by the Parker Solar Probe (PSP). We hope that this work will lead to a renewed interest in relating these weak impulsive emissions to the energy deposited in the corona, the quantity of physical interest from a coronal heating perspective, and explore their relationship with the magnetic switchbacks observed by the PSP.
Partial equilibration of anti-Pfaffian edge modes at 
ν=5/2

The recent thermal Hall conductance measurement of $K\ensuremath{\approx}2.5{\ensuremath{\pi}}^{2}\phantom{\rule{0}{0ex}}{k}_{B}\phantom{\rule{0}{0ex}}T/3h$ of the $\ensuremath{\nu}=5/2$ quantum Hall state provides strong evidence for the realization of a topological ground state whose quasiparticles exhibit non-Abelian statistics. However, the precise identity of the state depends on the degree of edge-mode equilibration. Here, the authors show that in the limit of strong Coulomb interaction and approximate spin degeneracy, the anti-Pfaffian state admits low-temperature edge phases that exhibit fully equilibrated electrical transport coexisting with partially equilibrated thermal transport, consistent with current experimental measurements.
randomised trial

Background: People with serious mental illness (SMI) have sexual health needs but there is little evidence to inform effective interventions to address them. In fact, there are few studies that have addressed this topic for people with SMI outside USA and Brazil. Therefore, the aim of the study was to establish the acceptability and feasibility of a trial of a sexual health promotion intervention for people with SMI in the UK. Method: The RESPECT study was a two-armed randomised controlled, open feasibility trial (RCT) comparing Sexual health promotion intervention (3 individual sessions of 1 h) (I) or treatment as usual (TAU) for adults aged 18 or over, with SMI, within community mental health services in four UK cities. The main outcome of interest was the percentage who consented to participate, and retained in each arm of the trial, retention for the intervention, and completeness of data collection. A nested qualitative study obtained the views of participants regarding the acceptability of the study using individual telephone interviews conducted by lived experience researchers. Results: Of a target sample of 100, a total of 72 people were enrolled in the trial over 12 months. Recruitment in the initial months was low and so an extension was granted. However this extension meant that the later recruited participants would only be followed up to the 3 month point. There was good retention in the intervention and the study as a whole; 77.8% of those allocated to intervention ( n = 28) received it. At three months, 81.9% (30 I; 29 TAU) and at 6 months, 76.3% (13 I and 16 TAU) completed the follow-up data collection. No adverse events were reported. There was good completeness of the data. The sexual health outcomes for the intervention group changed in favour of the intervention. Based on analysis of the qualitative interviews, the methods of recruitment, the quality of the participant information, the data collection, and the intervention were deemed to be acceptable to the participants ( n = 22). Conclusions: The target of 100 participants was not achieved within the study ’ s timescale. However, effective strategies were identified that improved recruitment in the final few months. Retention rates and completeness of data in both groups indicate that it is acceptable and feasible to undertake a study promoting sexual health for people with SMI. A fully powered RCT is required to establish effectiveness of the intervention in adoption of safer sex. Study
A Pedagogically Sound yet Efficient Deletion algorithm for Red-Black Trees: The Parity-Seeking Delete Algorithm

Red-black (RB) trees are one of the most efficient variants of balanced binary search trees. However, they have always been blamed for being too complicated, hard to explain, and not suitable for pedagogical purposes. Sedgewick (2008) proposed left-leaning red-black (LLRB) trees in which red links are restricted to left children, and proposed recursive concise insert and delete algorithms. However, the top-down deletion algorithm of LLRB is still very complicated and highly inefficient. In this paper, we first consider 2-3 red-black trees in which both children cannot be red. We propose a parity-seeking delete algorithm with the basic idea of making the deficient subtree on a par with its sibling: either by fixing the deficient subtree or by making the sibling deficient, as well, ascending deficiency to the parent node. This is the first pedagogically sound algorithm for the delete operation in red-black trees. Then, we amend our algorithm and propose a parity-seeking delete algorithm for classical RB trees. Our experiments show that, despite having more rotations, 2-3 RB trees are almost as efficient as RB trees and twice faster than LLRB trees. Besides, RB trees with the proposed parity-seeking delete algorithm have the same number of rotations and almost identical running time as the classic delete algorithm. While being extremely efficient, the proposed parity-seeking delete algorithm is easily understandable and suitable for pedagogical purposes.
Metode Penelitian Administrasi

Metode penelitian administrasi adalah cara ilmiah untuk mendapatkan data dengan tujuan dan kegunaan tertentu yang berkaitan dengan keseluruhan proses penyelenggaraan dalam usaha kerja sama dua orang atau lebih atau usaha bersama untuk mendayagunakan semua sumber (personel ataupun materiel) secara efektif, efisien, dan rasional untuk menunjang tercapainya tujuan. Tujuan dari penelitian tersebut adalah untuk meramalkan, mengontrol, dan menjelaskan gejala-gejala yang teramati untuk mendapatkan kebenaran. Masalah pokok administrasi adalah mengendalikan, merakit, dan memanfaatkan unsur-unsur administrasi dengan efektif dan efisien. Pelaksanaan administrasi itu sendiri harus ditopang oleh organisasi, sistem informasi, dan sistem manajemen. Dalam pendekatan sistem, kegiatan administrasi merupakan salah satu komponen instrumental proses penyelenggaraan administrasi. Landasan kegiatan administrasi tersebut berpedoman pada empat prinsip, yaitu prinsip fleksibilitas, efektif dan efektivitas, berorientasi pada tujuan, dan kontinuitas. Adapun objek penelitian administrasi berkaitan dengan penelitian kepemimpinan dalam administrasi, penelitian dalam organisasi dan pengorganisasian, serta penelitian dalam administrasi kepegawaian negara. Semua uraian tentang hal-hal yang berkaitan dengan proses kegiatan penelitian tersebut diwujudkan dalam laporan penelitian. Isi laporan penelitian tidak hanya tentang langkah-langkah yang telah dilalui oleh peneliti, tetapi juga latar belakang permasalahan, kerangka berpikir, dukungan teori, dan sebagainya, yang bersifat memperkuat makna penelitian yang dilakukan. Penyajian laporan artinya menguraikan hasil-hasil penelitian setelah penelitian selesai dilaksanakan, dan penyajian hasil penelitian dapat menggunakan penyajian verbal, matematis, dan penyajian visual.
Violent music vs violence and music: Drill rap and violent crime in London

The current policy of removing drill music videos from social media platforms such as YouTube remains controversial because it risks conflating the co-occurrence of drill rap and violence with a causal chain of the two. Empirically, we revisit the question of whether there is evidence to support the conjecture that drill music and gang violence are linked. We provide new empirical insights suggesting that: i) drill music lyrics have not become more negative over time if anything they have become more positive; ii) individual drill artists have similar sentiment trajectories to other artists in the drill genre, and iii) there is no meaningful relationship between drill music and real-life violence when compared to three kinds of police-recorded violent crime data in London. We suggest ideas for new work that can help build a much-needed evidence base around the problem.
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

Siamese neural network is a very powerful architecture for both feature extraction and metric learning. It usually consists of several networks that share weights. The Siamese concept is topology-agnostic and can use any neural network as its backbone. The two most popular loss functions for training these networks are the triplet and contrastive loss functions. In this paper, we propose two novel loss functions, named Fisher Discriminant Triplet (FDT) and Fisher Discriminant Contrastive (FDC). The former uses anchor-neighbor-distant triplets while the latter utilizes pairs of anchor-neighbor and anchor-distant samples. The FDT and FDC loss functions are designed based on the statistical formulation of the Fisher Discriminant Analysis (FDA), which is a linear subspace learning method. Our experiments on the MNIST and two challenging and publicly available histopathology datasets show the effectiveness of the proposed loss functions.
On Optimal Transformer Depth for Low-Resource Language Translation

Transformers have shown great promise as an approach to Neural Machine Translation (NMT) for low-resource languages. However, at the same time, transformer models remain difficult to optimize and require careful tuning of hyper-parameters to be useful in this setting. Many NMT toolkits come with a set of default hyper-parameters, which researchers and practitioners often adopt for the sake of convenience and avoiding tuning. These configurations, however, have been optimized for large-scale machine translation data sets with several millions of parallel sentences for European languages like English and French. In this work, we find that the current trend in the field to use very large models is detrimental for low-resource languages, since it makes training more difficult and hurts overall performance, confirming previous observations. We see our work as complementary to the Masakhane project ("Masakhane" means "We Build Together" in isiZulu.) In this spirit, low-resource NMT systems are now being built by the community who needs them the most. However, many in the community still have very limited access to the type of computational resources required for building extremely large models promoted by industrial research. Therefore, by showing that transformer models perform well (and often best) at low-to-moderate depth, we hope to convince fellow researchers to devote less computational resources, as well as time, to exploring overly large models during the development of these systems.
Metabolism and Thermoregulation in the Sea Otter

and its vulnerability it was exterminated in many areas, and in recent years has been afforded complete protection as an endangered species (Allen 1942; Murie 1959). Fortunately, through protection and the development of successful transplanting procedures, the sea otter has become firmly established in many locations so that the species is no longer in danger (Kenyon 1969). Recently it has been an object of attention as a prominent faunal element on Amchitka Island, and this has led to further information on its ecology and natural history (Allen 1942; Murie 1959). The sea otter is the largest of the Mustelidae, being rivaled only by the giant Amazonian otter (Pteronura brasiliensis), itself threatened with extinction. Among the Mustelidae it is the only truly marine form and as such the most adapted for aquatic life. It has also attracted attention as one of the few "tool-using" ani-
Effects of climate-induced coral bleaching on coral-reef fishes - ecological and economic consequences

Global climate change is having devastating effects on habitat structure in coral-reef ecosystems owing to extreme environmental sensitivities and consequent bleaching of reef-building scleractinian corals. Coral bleaching frequently causes immediate loss of live coral and may lead to longer-term declines in topographic complexity. This review identifies coral cover and topographic complexity as critical and distinct components of coral-reef habitats that shape communities of coral-reef fishes. Coral loss has the greatest and most immediate effect on fishes that depend on live corals for food or shelter, and many such fishes may face considerable risk of extinction with increasing frequency and severity of bleaching. Coral loss may also have longer-term consequences for fishes that require live corals at settlement, which are compounded by devastating effects of declining topographic complexity. Topographic complexity moderates major biotic factors, such as predation and competition, contributing to the high diversity of fishes on coral reefs. Many coral-reef fishes that do not depend on live coral are nonetheless dependent on the topographic complexity provided by healthy coral growth. Ecological and economic consequences of declining topographic complexity are likely to be substantial compared with selective effects of coral loss but both coral cover and topographic complexity must be recognised as a critical component of habitat structure and managed accordingly. Urgent action on the fundamental causes of climate change and appropriate management of critical elements of habitat structure (coral cover and topographic complexity) are key to ensuring long-term persistence of coral-reef fishes.
Stressors encountered by patients undergoing open-heart surgery at a Cairo University Hospitals

Background Coronary artery bypass grafting (CABG) as one of the treatment modalities for patients with coronary artery diseases has a major physical, psychological, and emotional impact on the patients. Therefore, these patients must routinely be assessed for the effect of stressors, especially before and after surgery. Aim The aim of this study was to assess stressors encountered by patients undergoing open-heart surgery at a Cairo University Hospitals. Research questions a) What are perceived preoperative stressors in patients undergoing open heart surgery during hospitalization? b) What are the perceived post operative stressors in patients undergoing open heart surgery during hospitalization? Research design A descriptive exploratory design was utilized. Sample A convenience sample consisting of 60 patients was included in the current study. Setting This study was carried out at a Cardiothoracic Department and an ICU of a cardiothoracic surgery, affiliated to one of the Cairo university hospitals. Tools Demographic data, medical data; and Intensive Care Unit Environmental Stressor Scale (ICUESS) were utilized to collect data pertinent to the current study. Results Preoperative stressors in the current study were found to be due to: continuous lighting, use of curtains as spacers between beds, nurses working in urgency, repeated awakening patients up to give medicines, workers’ loud voice, the death of other patients, hearing other patients’ complaints and sleep disturbance. However postoperative stressors were due to: inability to sleep, seeing families and friends only for few minutes and seeing each visitor individually, having pain, thirst, presence of nasal, oral and chest tubes, unfamiliarity with time, day or date. Conclusion and Recommendations Routine preoperative assessment of patients undergoing CABAG is recommended to identify and reduce stressors. Furthermore, preoperative patients’ education should be incorporated into routine nursing practice to reduce anxiety and prevent postoperstive complications.
Hospital acquired infection

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Changes in intestinal flora, TNF-α, L-17, and IL-6 levels in patients with gestational diabetes mellitus

To study the changes in intestinal flora and different inflammatory factors in patients with gestational diabetes mellitus (GDM), a total of 80 patients with GDM treated in our hospital were selected as the study group. Meanwhile, another 60 normal pregnant women were selected as the control group. The contents of intestinal Bifidobacterium, Lactobacillus, and Bacteroides were measured in both groups followed by comparison of the incidence of intestinal flora imbalance. In the meantime, the levels of tumor necrosis factor alpha (TNF-α), interleukin-17 (IL-17), and interleukin-6 (IL-6) in serum were detected and compared between those two groups. Afterwards, multivariate logistic regression was used to analyze the risk factors related to GDM. The number of Bifidobacterium, Lactobacillus, and Bacteroides in the study group was significantly less than those in the control group. The incidence of intestinal flora imbalance in the study group was 33.75%, which is higher than that in the control group. The serum levels of inflammatory factors, including TNF-α, IL-17, and IL-6 in the study group were significantly higher than those in the control group. The result of multivariate logistic regression analysis showed that Bifidobacterium, Lactobacilli, Bacteroides, TNF-α, IL-17, and IL-6 were risk factors related to GDM. Patients with GDM are prone to intestinal flora imbalance with elevated different inflammatory, which affects immune function in patients and may play an important role in the development of diabetes mellitus.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress

php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2017:10 57–64 Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress
Comparing Alternative Single-Step GBLUP Approaches and Training Population Designs for Genomic Evaluation of Crossbred Animals

As crossbreeding is extensively used in some livestock species, we aimed to evaluate the performance of single-step GBLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) methods to predict Genomic Estimated Breeding Values (GEBVs) of crossbred animals. Different training population scenarios were evaluated: (SC1) ssGBLUP based on a single-trait model considering purebred and crossbred animals in a joint training population; (SC2) ssGBLUP based on a multiple-trait model to enable considering phenotypes recorded in purebred and crossbred training animals as different traits; (SC3) WssGBLUP based on a single-trait model considering purebred and crossbred animals jointly in the training population (both populations were used for SNP weights' estimation); (SC4) WssGBLUP based on a single-trait model considering only purebred animals in the training population (crossbred population only used for SNP weights' estimation); (SC5) WssGBLUP based on a single-trait model and the training population characterized by purebred animals (purebred population used for SNP weights' estimation). A complex trait was simulated assuming alternative genetic architectures. Different scaling factors to blend the inverse of the genomic (G−1) and pedigree (A22-1) relationship matrices were also tested. The predictive performance of each scenario was evaluated based on the validation accuracy and regression coefficient. The genetic correlations across simulated populations in the different scenarios ranged from moderate to high (0.71–0.99). The scenario mimicking a completely polygenic trait (hQTL2= 0) yielded the lowest validation accuracy (0.12; for SC3 and SC4). The simulated scenarios assuming 4,500 QTLs affecting the trait and hQTL2=h2 resulted in the greatest GEBV accuracies (0.47; for SC1 and SC2). The regression coefficients ranged from 0.28 (for SC3 assuming polygenic effect) to 1.27 (for SC2 considering 4,500 QTLs). In general, SC3 and SC5 resulted in inflated GEBVs, whereas other scenarios yielded deflated GEBVs. The scaling factors used to combine G−1 and A22-1 had a small influence on the validation accuracies, but a greater effect on the regression coefficients. Due to the complexity of multiple-trait models and WssGBLUP analyses, and a similar predictive performance across the methods evaluated, SC1 is recommended for genomic evaluation in crossbred populations with similar genetic structures [moderate-to-high (0.71–0.99) genetic correlations between purebred and crossbred populations].