Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Search at Scale: 80 Million Gallery

Due to the prevalence of social media websites, one challenge facing computer vision researchers is to devise methods to process and search for persons of interest among the billions of shared photos on these websites. Facebook revealed in a 2013 white paper that its users have uploaded more than 250 billion photos, and are uploading 350 million new photos each day. Due to this humongous amount of data, large-scale face search for mining web images is both important and challenging. Despite significant progress in face recognition, searching a large collection of unconstrained face images has not been adequately addressed. To address this challenge, we propose a face search system which combines a fast search procedure, coupled with a state-of-the-art commercial off the shelf (COTS) matcher, in a cascaded framework. Given a probe face, we first filter the large gallery of photos to find the top-k most similar faces using deep features generated from a convolutional neural network. The k candidates are re-ranked by combining similarities from deep features and the COTS matcher. We evaluate the proposed face search system on a gallery containing 80 million web-downloaded face images. Experimental results demonstrate that the deep features are competitive with state-of-the-art methods on unconstrained face recognition benchmarks (LFW and IJB-A). Further, the proposed face search system offers an excellent trade-off between accuracy and scalability on datasets consisting of millions of images. Additionally, in an experiment involving searching for face images of the Tsarnaev brothers, convicted of the Boston Marathon bombing, the proposed face search system could find the younger brother's (Dzhokhar Tsarnaev) photo at rank 1 in 1 second on a 5M gallery and at rank 8 in 7 seconds on an 80M gallery.
Low-frequency extrapolation with deep learning

The lack of the low frequency information and good initial model can seriously affect the success of full waveform inversion (FWI) due to the inherent cycle skipping problem. Rea-sonable and reliable low frequency extrapolation is in principle the most direct way to solve this problem. In this paper, we propose a deep-learning-based bandwidth extension method by considering low frequency extrapolation as a regression problem. The Deep Neural Networks (DNNs) are trained to automatically extrapolate the low frequencies without preprocessing steps. The band-limited recordings are the inputs of the DNNs and, in our numerical experiments, the pretrained neural networks can predict the continuous-valued seismograms in the unobserved low frequency band. For the numerical experiments considered here, it is possible to ﬁnd the amplitude and phase correlations among different frequency components by training the DNNs with enough data samples, and extrapolate the low frequencies from the band-limited seismic records trace by trace. The synthetic example shows that our approach is not subject to the structural limitations of other methods to bandwidth extension, and seems to offer a tantalizing solution to the problem of properly initializing FWI.
Family presence and environmental factors at the time of a patient’s death in an ICU

Background: In an intensive care unit (ICU), privacy and proximity are reported to be important needs of dying patients and their family members. It is assumed that good communication between the ICU team and families about end‐of‐life decisions improves the possibilities of meeting families’ needs, thus guaranteeing a dignified and peaceful death in accordance with end‐of‐life care guidelines. The aim of this study was to explore the circumstances under which patients die in Swedish ICUs by reporting on the presence of family and whether patients die in private or shared rooms. An additional aim was to investigate the frequency of end‐of‐life decisions and whether nurses and family members were informed about such decisions.
Extracts from Hericium erinaceus relieve inflammatory bowel disease by regulating immunity and gut microbiota

Hericium erinaceus (HE), a traditional edible mushroom, is known as a medicine food homology to ameliorate gastrointestinal diseases. To investigate whether HE is clinically effective in alleviating inflammatory bowel disease (IBD), HE extracts (polysaccharide, alcoholic extracts and whole extracts were prepared using solvent extraction methods) were administrated for 2 weeks in rats with IBD induced by trinitro-benzene-sulfonic acid (TNBS) enema (150 mg/kg). Significant clinical and histological changes in IBD rats were identified, including damage activity, common morphous and tissue damage index scores in colonic mucosa and myeloperoxidase (MPO) activity. The damage activity, common morphous and tissue damage index scores in colonic mucosa (P <0.05) were improved, MPO activities were decreased. Inflammatory factors were also differentially expressed in colonic mucosa in IBD rats, including serum cytokines, Foxp3 and interleukin (IL)-10 were increased while NF-κB p65 and tumor necrosis factor (TNF)-α were decreased (P <0.05), and T cells were activated (P <0.05), especially in the alcohol extracts-treated group. We also found that the structure of gut microbiota of the H. erinaceus extracts-treated groups changed significantly by compared with the model group. Further studies revealed that the polysaccharides in HE extracts may play a prebiotic role, whereas the alcoholic extracts show bactericidin-like and immunomodulatory effects. Taken together, we demonstrated that H. erinaceus extracts could promote the growth of beneficial gut bacteria and improve the host immunity in vivo IBD model, which shows clinical potential in relieving IBD by regulating gut microbiota and immune system.
[18F]AV‐1451 PET in behavioral variant frontotemporal dementia due to MAPT mutation

The validation of tau radioligands could improve the diagnosis of frontotemporal lobar degeneration and the assessment of disease‐modifying therapies. Here, we demonstrate that binding of the tau radioligand [18F]AV‐1451 was significantly abnormal in both magnitude and distribution in a patient with familial frontotemporal dementia due to a MAPT 10 + 16C>T gene mutation, recapitulating the pattern of neuropathology seen in her father. Given the genetic diagnosis and the non‐Alzheimer's pathology, these findings suggest that [18F]AV‐1451 might be a useful biomarker in primary tauopathies. Largerscale in vivo and post‐mortem studies will be needed to assess the technique's specificity.
A 380-gene meta-signature of active tuberculosis compared with healthy controls

Mycobacterium tuberculosis is estimated to have infected one third of the world's population and continues to be a significant cause of mortality and morbidity [1]. There is a need for new and improved diagnostics or treatment-monitoring tools and blood-based mRNA diagnostics are a potential solution [2]. Gene expression microarray analysis of human blood has been widely used to profile the host transcriptional response in active tuberculosis (TB) to identify potential biomarkers and better understand the host immune response [2]. So far, there has been a relative lack of concordance in the actual genes being identified from the published studies [2, 3], although there has been agreement in some of the pathways identified. Interferon (IFN) signalling has been identified as a dominant signature in many of the individual studies [2, 4]; however, when significant gene lists were combined from eight publicly available TB datasets, TREM1 (triggering receptor expressed on myeloid cells 1) signalling became the most significant pathway [5]. Modular and meta-profiling identify a common transcriptional response of patients with TB versus healthy controls http://ow.ly/YvEP7
Spectral efficiency limit of bipolar signaling in incoherent optical CDMA systems

A universal scheme is developed to reproduce the effect of bipolar signaling in a unipolar optical channel. Without any hardware modification, the electro-optic/opto-electronic (EOE) system proposed enables the transmission of any bipolar code sequence through the unipolar optical channel while maintaining the correlation properties of the codes. The bit error rate performance of the EOE system is shown to be identical to that of an optimal baseband bipolar phase shift keying code-division multiple access (CDMA) system. Hence, the maximum spectral efficiency of an incoherent optical CDMA system using bipolar codes is the same as that of an optimal bipolar baseband CDMA system.
Obtaining a Bipartite Graph by Contracting Few Edges

The Bipartite Contraction problem takes as input an $n$-vertex graph $G$ and an integer $k$, and the task is to determine whether we can obtain a bipartite graph from $G$ by a sequence of at most $k$ edge contractions. We show that Bipartite Contraction is fixed-parameter tractable when parameterized by $k$. Despite a strong resemblance between Bipartite Contraction and the classical Odd Cycle Transversal (OCT) problem, the methods developed to tackle OCT do not seem to be directly applicable to Bipartite Contraction. To obtain our result, we combine several techniques and concepts that are central in parameterized complexity: iterative compression, irrelevant vertices, and important separators. To the best of our knowledge, this is the first time the irrelevant vertex technique and the concept of important separators are applied in unison. Furthermore, our algorithm may serve as a comprehensible example of the usage of the irrelevant vertex technique.
Altered Cerebellar Functional Connectivity with Intrinsic Connectivity Networks in Adults with Major Depressive Disorder

Background Numerous studies have demonstrated the higher-order functions of the cerebellum, including emotion regulation and cognitive processing, and have indicated that the cerebellum should therefore be included in the pathophysiological models of major depressive disorder. The aim of this study was to compare the resting-state functional connectivity of the cerebellum in adults with major depression and healthy controls. Methods Twenty adults with major depression and 20 gender-, age-, and education-matched controls were investigated using seed-based resting-state functional connectivity magnetic resonance imaging. Results Compared with the controls, depressed patients showed significantly increased functional connectivity between the cerebellum and the temporal poles. However, significantly reduced cerebellar functional connectivity was observed in the patient group in relation to both the default-mode network, mainly including the ventromedial prefrontal cortex and the posterior cingulate cortex/precuneus, and the executive control network, mainly including the superior frontal cortex and orbitofrontal cortex. Moreover, the Hamilton Depression Rating Scale score was negatively correlated with the functional connectivity between the bilateral Lobule VIIb and the right superior frontal gyrus in depressed patients. Conclusions This study demonstrated increased cerebellar coupling with the temporal poles and reduced coupling with the regions in the default-mode and executive control networks in adults with major depression. These differences between patients and controls could be associated with the emotional disturbances and cognitive control function deficits that accompany major depression. Aberrant cerebellar connectivity during major depression may also imply a substantial role for the cerebellum in the pathophysiological models of depression.
The Role of Predictability in Cooperative and Competitive Joint Action

Predictability may be an important component of cooperative action, or it may arise as a by-product of involuntary entrainment with another’s behavior. Further, differences previously observed in cooperative versus competitive actions may represent a fundamental distinction between behaviors with opposite goals, or they may simply reflect the output of different physical actions. The role of predictability in cooperative versus competitive behavior was directly tested using a joint sequential button-pressing task in which Participant 1 (P1) pressed a key followed by P2 pressing a key. In the cooperative condition, both actors shared the goal of minimizing P2’s response times (RTs). In the competitive condition, P1 tried to maximize P2’s RTs, whereas P2 continued to try to minimize them. It was found that P1 was much more predictable in the timing of his or her presses in the cooperative condition than in the competitive condition, and this coincided with faster P2 responses when cooperating than when competing. A 2nd experiment showed the effects of the predictability of P1’s responses on the speed of P2 responses were similar when P1 was replaced by a schematic hand, showing the responses could not have been due to the transmission of subtle nonverbal cues by P1. These results demonstrate that being predictable is an important strategy in the timing of cooperative joint action, whereas being unpredictable is an important strategy in competition, and that they have opposite effects on a coactor’s ability to respond quickly.
The Development and Validation of a New Machiavellianism Scalet

A new measure of Machiavellianism, the Machiavellian Personality Scale (MPS), was developed and validated over two studies. Machiavellianism is conceptualized as one's propensity to distrust others, engage in amoral manipulation, seek control over others, and seek status for oneself Study I developed and tested the factor structure of the scale, whereas Study 2 provided evidence for the convergent, divergent, and criterion-related validity of the MPS. The results of these studies supported the a priori factor structure of the MPS and indicated that it is a valid predictor of such outcomes as job satisfaction, task performance, and counterproductive work behaviors.
Computational Reconstruction of Iron- and Manganese-Responsive Transcriptional Networks in α-Proteobacteria

We used comparative genomics to investigate the distribution of conserved DNA-binding motifs in the regulatory regions of genes involved in iron and manganese homeostasis in alpha-proteobacteria. Combined with other computational approaches, this allowed us to reconstruct the metal regulatory network in more than three dozen species with available genome sequences. We identified several classes of cis-acting regulatory DNA motifs (Irr-boxes or ICEs, RirA-boxes, Iron-Rhodo-boxes, Fur-alpha-boxes, Mur-box or MRS, MntR-box, and IscR-boxes) in regulatory regions of various genes involved in iron and manganese uptake, Fe-S and heme biosynthesis, iron storage, and usage. Despite the different nature of the iron regulons in selected lineages of alpha-proteobacteria, the overall regulatory network is consistent with, and confirmed by, many experimental observations. This study expands the range of genes involved in iron homeostasis and demonstrates considerable interconnection between iron-responsive regulatory systems. The detailed comparative and phylogenetic analyses of the regulatory systems allowed us to propose a theory about the possible evolution of Fe and Mn regulons in alpha-proteobacteria. The main evolutionary event likely occurred in the common ancestor of the Rhizobiales and Rhodobacterales, where the Fur protein switched to regulating manganese transporters (and hence Fur had become Mur). In these lineages, the role of global iron homeostasis was taken by RirA and Irr, two transcriptional regulators that act by sensing the physiological consequence of the metal availability rather than its concentration per se, and thus provide for more flexible regulation.
Insights of long‐term geomorphological evolution of coastal landscapes in hot‐spot oceanic islands

The Canary Islands form a volcanic archipelago in which a west–east (W–E) chain of progressively older and less active islands can be observed. In the Canary Islands, unlike most hot‐spot archipelagos, certain geodynamic peculiarities have promoted longer periods of island survival, exceeding 20 Myr. This factor makes these islands a suitable context for this work, which aims to analyze extensively the coastal geomorphic structure on islands with different development states. For this, three islands in different volcanic phases were selected: La Palma (1.8 Myr), Gran Canaria (14.5 Myr) and Fuerteventura (22.6 Myr). An ad hoc landform‐based hierarchical taxonomy was designed to analyze the coastal geomorphic structure of the three islands. Based on a multi‐sourced analysis in geographic information system (GIS) and field recognition, a comprehensive cartographic database was collected using the coastline data‐storing (CDS) method as a feature abundance proxy. Three different aspects of the geomorphological structure were compared and related between the islands: (i) composition, (ii) abundance and (iii) diversity. Through their comparison, we attempt to explore geomorphological aspects of coastal evolution over geological spatiotemporal scales. Composition was explored analyzing the distribution of the feature's longshore frequencies (p). Abundance, by metrics of local abundance (N∩) and whole density (NU). Diversity, through four indices: normalized richness (S) and Margalef index (M) to estimate richness; Simpson index (D) and Shannon index (H’) to estimate evenness. We identified a systematic transformation in the dominant landform composition and a systematic trend in increasing geomorphological abundance and diversity from younger to older islands. The results show a long‐term structural pattern defined by the increase in coastal geomorphic complexity (abundance and diversity) over geological time, as the coasts evolve from predominantly rocky‐erosive to increasingly clastic‐depositional environments. This long‐term geomorphological pattern may be a general aspect of hot‐spot island archipelagos, which can bring a new perspective to the knowledge of their coastal evolution. © 2018 John Wiley & Sons, Ltd.
Stable Sampling Equilibrium in Common Pool Resource Games

This paper reconsiders evidence from experimental common pool resource games from the perspective of a dynamic model of sampling. Despite being parameter-free, the model is able to replicate some striking features of the data: monotonic frequency distributions, the persistent use of strictly dominated actions, and stable heterogeneity in choices. We argue that these patterns cannot be fully accounted for by existing theories based on other-regarding preferences and norms, and that the dynamics of sampling provide a useful complementary explanation for behavior in social dilemmas.
A Novel Approach to Proactive Primary Care–Based Case Finding and Multidisciplinary Management of Falls, Syncope, and Dizziness in a One‐Stop Service: Preliminary Results

National and international evidence and guidelines on falls prevention and management in community‐dwelling elderly adults recommend that falls services should be multifactorial and their interventions multicomponent. The way that individuals are identified as having had or being at risk of falls in order to take advantage of such services is far less clear. A novel multidisciplinary, multifactorial falls, syncope, and dizziness service model was designed with enhanced case ascertainment through proactive, primary care–based screening (of individual case notes of individuals aged ≥60) for individual fall risk factors. The service model identified 4,039 individuals, of whom 2,232 had significant gait and balance abnormalities according to senior physiotherapist assessment. Significant numbers of individuals with new diagnoses ranging from cognitive impairment to Parkinson's disease to urgent indications for a pacemaker were discovered. More than 600 individuals were found who were at high risk of osteoporosis according to World Health Association Fracture Risk Assessment Tool score, 179 with benign positional paroxysmal vertigo and 50 with atrial fibrillation. Through such screening and this approach, Comprehensive Geriatric Assessment Plus (Plus falls, syncope and dizziness expertise), unmet need was targeted on a scale far outside the numbers seen in clinical trials. Further work is needed to determine whether this approach translates into fewer falls and decreases in syncope and dizziness.
Mortality prediction at admission to intensive care: A comparison of microalbuminuria with acute physiology scores after 24 hours

ObjectiveTo compare low level albumin excretion (microalbuminuria), a marker of systemic capillary permeability, with mortality, Acute Physiologic And Chronic Health Evaluation (APACHE II) score, the Simplified Acute Physiologic (SAP II) score, and their derived mortality probabilities in patients admitted to a general intensive care unit. DesignProspective observational study. SettingA 14-bed intensive care unit in a university teaching hospital. PatientsA total of 140 consecutive patients (59 surgical, 48 medical, 22 trauma, and 11 burns). InterventionsUrine collection within 15 mins of intensive care unit admission for assessment of microalbuminuria. Measurements and Main ResultsMicroalbuminuria, expressed as the albumin-creatinine ratio (ACR: normal, <2.3 mg/mmol), was compared with mortality, APACHE II and SAP II scores and their derived mortality probabilities after 24 hrs, intensive care unit stay, and markers of organ function and inflammation. Median (95% confidence interval) ACR at admission for survivors (n = 115) and nonsurvivors (n = 25) were 4.2 (3.6–6.5) and 17.8 (8.0–40.8) mg/mmol, respectively (p = .0002 Mann Whitney). For 92 surgical, trauma, and burn patients, of whom 81 survived, ACR of >5.9 mg/mmol gave a sensitivity for death of 100%, specificity of 59%, positive predictive value of 25%, and negative predictive value of 100%. Mortality probability receiver operator characteristic curve areas for ACR, APACHE II, and SAP II were 0.843 (p < .0001), 0.793 (p = .0004), and 0.770 (p = .0017), respectively. ACR was associated with intensive care unit stay (p = .0021) and highest serum C-reactive protein (p = .0002), serum creatinine (p < .0001), and bilirubin (p = .0009). For 48 medical patients, of whom 34 survived, admission ACRs for survivors and nonsurvivors were 8.3 (5.7–10.8) and 10.7 (4.1–48.2) mg/mmol, respectively (p = .32). SAP II, but not APACHE II, score was significantly higher for nonsurvivors. ConclusionsFor surgical, trauma, and burn patients, but not medical patients, microalbuminuria within 15 mins of intensive care unit admission predicted death as well as APACHE II and SAP II scores calculated after 24 hrs, and it shows promise as a predictor of outcome.