Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Knowledge Distillation for Training Fast Low Resolution Face Recognition Model

Low resolution (LR) face recognition (FR) is a challenging, yet common problem for FR task, especially for surveillance scenario. The issue addressed here is not just to build a LR-FR model, more importantly to make it run fast. Here, the knowledge distillation method is adopted for our task, where the teacher's knowledge can be 'distilled' into a small student model by guiding its training process. For LRFR task, the original knowledge distillation scheme would update the teacher's weights first by tuning it using LR augmented train set, and then the student model is trained using same train set under updated teacher's guidance. The problem of this method is that the weights tuning of large teacher model is time-consuming, especially for large-scale dataset. In this paper, we proposed an improved scheme to enable us to avoid the teacher retraining and still be able to train the small model for LR-FR task. Here, different from the original scheme, the train sets for teacher and student model become different, where the train set for teacher model keeps unchanged and the one student is LR augmented. Therefore, it becomes unnecessary to update teacher model any more since the train set is the unchanged. Only the small student model needs to be trained under the original teacher's guidance. This can speed up the whole training process, especially for large-scale dataset. The different train sets for teacher and student will increase the data distribution discrepancy. To solve this problem, we constrained the multikernel maximum mean discrepancy between outputs to reduce this influence. Experimental results show our method can accelerate the training process by about 5 times, while preserving the accuracy. Our student model has same level coresponding author: wangmengjiao@cn.fujitsu. com with respect to state-of-art accuracy on LFW and SCFace. It can achieve 3x acceleration comparing to teacher model and only takes 35ms to run on a CPU.
What does the language of foods say about us?

In this work we investigate the signal contained in the language of food on social media. We experiment with a dataset of 24 million food-related tweets, and make several observations. First,thelanguageoffoodhaspredictive power. We are able to predict if states in the United States (US) are above the medianratesfortype2diabetesmellitus(T2DM), income, poverty, and education – outperforming previous work by 4–18%. Second, we investigate the effect of socioeconomic factors (income, poverty, and education) on predicting state-level T2DM rates. Socioeconomic factors do improve T2DM prediction, with the greatestimprovementcomingfrompovertyinformation(6%),but,importantly,thelanguage of food adds distinct information that is not captured by socioeconomics. Third, we analyze how the language of food has changed over a five-year period (2013 – 2017), which is indicative of the shift in eating habits in the US during that period. We find several food trends, and that the language of food is used differently by different groups such as differentgenders. Last,weprovideanonlinevisualization tool for real-time queries and semantic analysis.
Fish community structure of Juramento reservoir, São Francisco River basin, Minas Gerais, Brazil

Many rivers in Brazil as the Sao Francisco (SFR) have been impounded for reservoirs construction purposes. However, there is a lack of knowledge on their fish fauna in many areas, including headwaters. The present study aimed to describe the fish community structure from Juramento reservoir, located on Juramento River, a branch of SFR basin. Six bimonthly samplings were made in four different sites. Gill and cast nets, beach seines and sieves were used to collect fish. Ecological indexes as well as the relationship between fish abundance and some limnological variables were determined. 3288 fish belonging to 33 species (16.5% of the total described for SFR basin) were captured, being 75.7% Characiformes, 18.1% Siluriformes, 3% Cyprinodontiformes and 3% Gymnotiformes. Only two non-native species, 'tamboata' - Hoplosternum littorale (Hancock, 1828) and 'trairao' - Hoplias lacerdae Ribeiro, 1908 were found. The highest catches in number occurred in the dry period (March-October) and the lowest one in the wet season (November-February). Diversity was higher at Barragem station and richness did not vary between reservoir zones. Five migratory species were found downstream of the dam (four exclusively there), whereas only the 'curimbata-pioa' - Prochilodus costatus Valenciennes, 1850 occurred in the reservoir. The low observed correlations between fish abundance and the limnological variables utilized suggest that the local fish fauna is not strongly affected by their variation.
Towards an Agile Approach in Academic Software Development - A Case Study

The main focus of this paper is to emphasize the advantages of the Agile strategy when applied to a typical Project Management task. As software development has an old tradition, a comparison of the strengths of the new approach will be presented in detail, aiming to prove that the popularity of Agile is not without reason. There are software tools that help IT architects keep their teams and projects on track, and a case study for the academic environment will be discussed. The Conclusions part will summarize the results and shed some light on the future.
Impact of Lipophilic Surfactant on the Rheology and Stability of Water-in-Soybean Oil Emulsion

1,2,3 Shahid Iqbal*, 1 Musa Kaleem Baloch, 1 Gulzar Hameed and 1 Rubina Naz Department of Chemistry, Gomal University, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan. Biopolymers and Colloids Research Laboratory, Department of Food Science, University of Massachusetts, Amherst, MA 01003, USA. Department of Chemistry, Kohat University of Science and Technology (KUST), Kohat, 26000, Khyber Pakhtunkhwa, Pakistan. shahidchem7@gmail.com*
Green Synthesis of Zinc Oxide Nanoparticles using Seed Extract of Murraya koenigii and Their Antimicrobial Activity against Some Human Pathogens

In the present report, simple and green protocols for the synthesis of ZnO nanoparticles under ambient conditions from the aqueous extracts of Murraya koenigii seeds were reported. The synthesized nanoparticles are characterized by UV spectrometer, FT-IR spectroscopy, powder XRD pattern, scanning electron microscope (SEM) and transmission electron microscopy (TEM) analysis. The synthesized ZnO nanoparticles tested for antimicrobial activities by Bauer-Kirby method using human pathogenic bacterial and fungal species. The synthesized nanoparticles exhibited good antimicrobial agent for all the four bacterial and three fungal species.
Decline of an endangered amphibian during an extreme climatic event

Climate change is a poorly understood, emerging threat to many amphibian species. One of the ways climate change is likely to affect amphibians is through increased recruitment failure associated with more frequent climatic extremes. To understand the risk posed by this threat, we combined 13 years of annual monitoring and multi-scaled habitat modelling at the site (n = 60), pool (n = 105) and nest (n = 170) levels to investigate the decline of the endangered northern corroboree frog (Pseudophryne pengilleyi), during the most severe drought on record in southern Australia. We documented the local extinction of 42% of P. pengilleyi breeding sites during the climatic extreme. Using logistic regression we investigated habitat variables associated with extinction sites. We found that locally extinct sites now resemble historically absent sites, with fewer pools, less water, and drying-related tree invasion. Extended periods of limited water availability at extinction sites is likely to have restricted breeding, contributing to localised extinctions. Habitat variables recorded at the pool and nest level did not significantly influence P. pengilleyi presence/absence, indicating that site level wetness had an overriding effect. We anticipate that increasing climate variability is likely to disproportionately threaten seasonal pool-breeding amphibian species, exacerbating the global amphibian biodiversity crisis. However, our work with P. pengilleyi suggests there are a range of simple habitat manipulations that could help to ameliorate the impacts.
Heat Transfer Enhancement of Cylindrical Heat Pipes Using Lattice Boltzmann Method

A pseudo three dimensional numerical analysis is presented for simulation of cylindrical heat pipe using the Lattice Boltzmann method. The analysis includes the heat conduction in the wall and liquid-wick regions as well as the vapor region. Comparisons between the present model and previous numerical results showed very good agreement. The estimations of the liquid and vapor velocity profiles and temperature distributions are also presented and discussed. It is shown that the vapor flow field remains nearly symmetrical about the heat pipe centerline. Numerical results under different working conditions are presented, which provide guidance for the heat pipe design.
An Inside Look into Doppler Ultrasound

Over the past decade, with the advancement of technology, there have been dramatic changes in ultrasound instrumentation and application. Some of these technological improvements include better resolution, increased portability, specialized probe design, and the use of more sophisticated computer enhanced processing (Christensen et al., 1994). Despite these technological improvements, ultrasound has long been recognized to have many advantages over other types of imaging. For example, it is non invasive, non ionizing, readily available, and relatively inexpensive (Christensen et al., 1994). Traditional real-time ultrasound imaging provides functional motion data, as well as information about the internal architectural structure of organs (Toal, 1994). With the advent of spectral and color Doppler capabilities, ultrasonographic imaging has expanded its role in disease assessment. The technological advancements, widespread education, and the subsequent recognition of its many applications have lead to an increased use of Doppler ultrasound as an adjunct for early detection of heart and vascular conditions, as well as other diseases including cancer. Doppler ultrasound involves the analysis of the changes in the blood flow characteristics within the target vessels, and the resulting
Evaluation of Glucocorticoid Faecal Monitoring as a Non-Invasive Assessment of Stress in Captive Crab-Eating Fox (Cerdocyoun thous) After ACTH Stimulation

Blood sampling is a common method in biological research of domestic animals for studying hormone mechanisms. However, this approach can be stressful for wild species, and compromise research concerning animal welfare. The crab-eating fox (Cerdocyoun thous) is a medium-sized canid found in South America and a popular zoo species in that region. However, almost nothing is known of their biology or what factors impact captive welfare. Thus, a non-invasive method to measure adrenal activity and stress was developed for quantifying fecal glucocorticoids non-invasively in this species. The physiological relevance of the cortisol immunoassay was demonstrated by injection of exogenous ACTH into two males and one female, which led to a significant increase in fecal glucocorticoid metabolites within 24-48 h. From these findings we conclude that fecal samples can be used for the non-invasive assessment of adrenocortical status in crab-eating fox.
Usefulness of Direct Cholangiopancreatoscopy for Management of Pancreatic Calculi: Case Study (with video)

1 Internist and Gastroenterologist in the Gastroenterology and Echoendoscopy Unit (UGEC) at the National University Hospital and Professor of Medicine at the National University of Colombia in Bogotá, Colombia 2 Internist and Gastroenterologist in the Gastroenterology and Echoendoscopy Unit (UGEC) at the National University Hospital in Bogotá, Colombia 3 Internist and Gastroenterology Fellow in the Gastroenterology and Echoendoscopy Unit (UGEC) at the National University Hospital and the National University of Colombia in Bogotá, Colombia
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation

In the Japanese language different levels of honorific speech are used to convey respect, deference, humility, formality and social distance. In this paper, we present a method for controlling the level of formality of Japanese output in English-to-Japanese neural machine translation (NMT). By using heuristics to identify honorific verb forms, we classify Japanese sentences as being one of three levels of informal, polite, or formal speech in parallel text. The English source side is marked with a feature that identifies the level of honorific speech present in the Japanese target side. We use this parallel text to train an English-Japanese NMT model capable of producing Japanese translations in different honorific speech styles for the same English input sentence.
POLYNUCLEOTIDES BY MUTAGENESIS AND RECOMBINATION

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MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning

The increasing industrial demands to deploy deep neural networks on resource constrained mobile device motivates recent researches of efficient structure for deep learning. One popular approach is to densify network connectivity by sharing feature maps between layers. A side effect of this approach is that the volume of the feature maps and the convolution computation will exponentially blow up. In this work, we propose a novel structure, named Multi-Layer Feature Federation Network (MuffNet), to address this issue. The MuffNet is a densely connected network but con-sumes much less memory and computation at inference. The key idea of the MuffNet is to elaborately split the feature maps of one layer to different groups. Each feature map group is then shared only once with the other layer. In this way we maintain the network computation within bud-get while keeping the topology density of the network. On the theoretical side, we show that under the same compu-tational budget, MuffNet is a better universal approximator for functions containing high frequency components. We validate the superiority of MuffNet on popular image classification and object detection benchmark datasets. The extensive experiments show that MuffNet is more efficient especially for small models under 45 MFLOPs.
Why Is This First? Understanding and Analyzing Internet Search Results

Primarily due to their convenience, online search engines such as Google and Bing are becoming a central location for obtaining information. As a result, societies give search engines tremendous control over the spread of information to the public. Through a high-school-level sample lesson plan, the article was written to promote dialogue with teachers on the importance of teaching the intricacies of search engines. The sample lesson plan begins with fundamental knowledge on the functionality of search engines with emphasis on algorithms. With this instruction, students can understand not only search engines, but also their manipulation potential, which leads to ramifications. Using the manipulation potential as a catalyst, many societal concerns are raised, such as spread of misinformation, oppression of certain groups, and impact on behavior. Through this instruction and dialogue, practitioners will have a resource to integrate search engines into their curriculum in response to this new concern.
What We Learn from China's Rising Shadow Banking: Exploring the Nexus of Monetary Tightening and Banks' Role in Entrusted Lending

We argue that China's rising shadow banking was inextricably linked to potential balance-sheet risks in the banking system. We substantiate this argument with three didactic findings: (1) commercial banks in general were prone to engage in channeling risky entrusted loans; (2) shadow banking through entrusted lending masked small banks' exposure to balance-sheet risks; and (3) two well-intended regulations and institutional asymmetry between large and small banks combined to give small banks an incentive to exploit regulatory arbitrage by bringing off-balance-sheet risks into the balance sheet. We reveal these findings by constructing a comprehensive transaction-based loan dataset, providing robust empirical evidence, and developing a theoretical framework to explain the linkages between monetary policy, shadow banking, and traditional banking (the banking system) in China.
Screening and detection of extracellular cellulases (endo- and exo-glucanases) secreted by filamentous fungi isolated from soils using rapid tests with chromogenic dyes

The screening plate method is commonly used for previous detection of cellulases produced by micro-organisms with biotechnological potential. In this manuscript, the authors aim to evaluate the hydrolytic ability of different fungi isolated from soil for the production of cellulolytic enzymes for cellulose degradation and determining the enzymatic index (EI) in relation to the growth of fungal colony and halo. The fungi were grown in carboxymethyl cellulose medium (CMC 1% w/v) and Avicel medium (Cellulose microcrystalline 1% w/v) for the determination of endo-glucanases and exo-glucanases respectively at 28°C for 48 h. Four chromogenic dyes were used: Congo Red, Phenol Red, Trypan Blue and Gram’s Iodine. Also, another screening method was compared using carboxymethyl cellulose medium (CMC 1% w/v) at 28°C for 96 h and exposed with Congo Red dye in buffer Tris HCl 0.1 M, pH 8.0. The results obtained allowed to find significant differences between the tested fungi, the growth time and chromogenic dyes. The strains with higher Enzymatic Index (EI) were JCO1, UFT1, UFT2 and UFT3 for endo-glucanases and JCO2, UFT1, UFT2 and UFT3 for exo-glucanases. Keywords: Cellulases, chromogenic dyes, filamentous fungi, endo-glucanase, exo-glucanase. African Journal of Biotechnology , Vol 13(52) 4694-4701
CLEP_A_191418 257..273

Aurore Bergamasco Nadine Hartmann Laura Wallace Patrice Verpillat 1YolaRx Consultants, Paris, France; 2Boehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany; 3Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CO, USA; 4Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany Background: Interstitial lung disease (ILD) is one of the leading causes of mortality in patients with systemic sclerosis (SSc). To further understand this patient population, we present the first systematic review on the epidemiology of SSc and SSc-associated ILD (SSc-ILD). Methods: Bibliographic databases and web sources were searched for studies including patients with SSc and SSc-ILD in Europe and North America (United States and Canada). The systematic review was limited to publications in English, German, French, Spanish, Italian, and Portuguese, published between January 1, 2000 and February 29, 2016. For all publications included in the review, the methodologic quality was assessed. For each dimension and region, data availability in terms of quantity and consistency of reported findings was evaluated. Results: Fifty publications reporting epidemiologic data (prevalence, incidence, demographic profile, and survival and mortality) were included; 39 included patients with SSc and 16 included patients with SSc-ILD. The reported prevalence of SSc was 7.2–33.9 and 13.5–44.3 per 100,000 individuals in Europe and North America, respectively. Annual incidence estimates were 0.6–2.3 and 1.4–5.6 per 100,000 individuals in Europe and North America, respectively. Associated ILD was present in ~35% of the patients in Europe and ~52% of the patients in North America. In Europe, a study estimated the prevalence and annual incidence of SSc-ILD at 1.7–4.2 and 0.1–0.4 per 100,000 individuals, respectively. In both Europe and North America, SSc-ILD was diagnosed at a slightly older age than SSc, with both presentations of the disease affecting 2–3 times more women than men. Ten-year survival in patients with SSc was reported at 65–73% in Europe and 54–82% in North America, with cardiorespiratory manifestations (including ILD) associated with poor prognosis. Conclusion: This systematic review confirms that SSc and SSc-ILD are rare, with geographic variation in prevalence and incidence.
WST 47.2 -17 (157-164)

A novel on-line method and system for characterisation of sludge flocs in view of improving sludge dewatering has been developed. The characterisation of sludge flocs was carried out after the conditioning or the flocculation process. The system uses a conventional CCD-line scan camera providing an on-line monitoring of the relative floc size distribution by image processing procedures. The image processing procedure has been re-evaluated and adapted to the practical dewatering results, obtained from a chamber filter press of 250 × 250 mm size. A good correlation between the calculated sensor signal and the sludge dewaterability of digested sludge in terms of the up-concentration factor was found. Although different sludge compositions and flocculation systems have been tested within the whole experimental period of six months, a good reproducibility of this correlation was also found. A well balanced floc size distribution is necessary showing that not too many but still some fine flocs and also not too large but compact flocs lead to improved dewaterability. This has been illustrated by an extended range of floc size measurements ranging between 50 μm and 29 mm. The conditioning monitoring system would be suitable for the control of production of good size-balanced flocs to compensate fluctuations in sludge characteristics of the sludge to be conditioned.