Miracle-dz/UniFAR-FTUs huggingface dataset:
A new method of small target detection based on neural network

The detection and tracking of moving dim target in infrared image have been an research hotspot for many years. The target in each frame of images only occupies several pixels without any shape and structure information. Moreover, infrared small target is often submerged in complicated background with low signal-to-clutter ratio, making the detection very difficult. Different backgrounds exhibit different statistical properties, making it becomes extremely complex to detect the target. If the threshold segmentation is not reasonable, there may be more noise points in the final detection, which is unfavorable for the detection of the trajectory of the target. Single-frame target detection may not be able to obtain the desired target and cause high false alarm rate. We believe the combination of suspicious target detection spatially in each frame and temporal association for target tracking will increase reliability of tracking dim target. The detection of dim target is mainly divided into two parts, In the first part, we adopt bilateral filtering method in background suppression, after the threshold segmentation, the suspicious target in each frame are extracted, then we use LSTM(long short term memory) neural network to predict coordinates of target of the next frame. It is a brand-new method base on the movement characteristic of the target in sequence images which could respond to the changes in the relationship between past and future values of the values. Simulation results demonstrate proposed algorithm can effectively predict the trajectory of the moving small target and work efficiently and robustly with low false alarm.
Reduction in Toxicity of Nano-Ag-Polyvinyl-pyrrolidone Using Hydra Proteins and Peptides during Zebrafish Embryogenesis

Hydra magnipapillata cells reduce the toxicity of silver nanomaterials to zebrafish (Danio rerio) embryos. In this study, we investigated whether Hydra protein (HP) and Hydra basal disc peptide (Hym176) materials reduce nano-Ag-polyvinylpyrrolidone (N-Ag-PVP) toxicity during embryogenesis of the nanosensitive organism zebrafish. Protein (HP) was extracted from Hydra, and peptide (Hym176) was extracted from the hydra basal disc, which is attractive to nanomaterials and related to the immune system. The experimental conditions were exposure to N-Ag-PVP, HP, N-Ag-PVP+HP, Hym176, or N-Ag-PVP+Hym176 during embryo development. N-Ag-PVP+HP group showed lower toxicity than N-Ag-PVP group. In addition, in the N-Ag-PVP+HP group formed aggregated nanomaterials (≥200 nm size) through electrostatic bonding. In the gene expression profile, HP group differed in gene expression profile compared the other experimental groups and it was no genetic toxicity. HP showed a tendency to reduce side effects and abnormal gene expression produced by N-Ag-PVP with no evidence of inherent toxicity. Considering the potential nanotoxicity effects of released nanomaterials on the ecosystem, the reduction of nanotoxicity observed with HP natural materials should be regarded with great interest in terms of the overall health of the ecosystem.
Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases

Human monocytes are divided in three major populations; classical (CD14+CD16−), non-classical (CD14dimCD16+), and intermediate (CD14+CD16+). Each of these subsets is distinguished from each other by the expression of distinct surface markers and by their functions in homeostasis and disease. In this review, we discuss the most up-to-date phenotypic classification of human monocytes that has been greatly aided by the application of novel single-cell transcriptomic and mass cytometry technologies. Furthermore, we shed light on the role of these plastic immune cells in already recognized and emerging human chronic diseases, such as obesity, atherosclerosis, chronic obstructive pulmonary disease, lung fibrosis, lung cancer, and Alzheimer's disease. Our aim is to provide an insight into the contribution of human monocytes to the progression of these diseases and highlight their candidacy as potential therapeutic cell targets.
Toxicological Behavior of Gold Nanoparticles on Various Models: Influence of Physicochemical Properties and Other Factors

Potential applications of gold nanoparticles in biomedicine have increasingly been reported on account of the ease of synthesis, bioinert characteristics, optical properties, chemical stability, high biocompatibility, and specificity. The safety of these particles remains a great concern, as there are differences among toxicity study protocols used. This article focuses on integrating results of research on the toxicological behavior of gold nanoparticles. This can be influenced by the physicochemical properties, including size, shape, surface charge, and other factors, such as methods used in the synthesis of gold nanoparticles, models used, dose, in vivo route of administration, and interference of gold nanoparticles with in vitro toxicity assay systems. Several researchers have reported toxicological studies with regard to gold nanoparticles, using various in vitro, in vivo, and in ovo models. The conflicting results concerning the toxicity of gold nanoparticles should thus be addressed to justify the safe use of gold nanoparticles in biomedicine.
Mitochondrial Hyperacetylation in the Failing Hearts of Obese Patients Mediated Partly by a Reduction in SIRT3: The Involvement of the Mitochondrial Permeability Transition Pore.

BACKGROUND/AIMS Cyclophilin D (CypD) mediates the mitochondrial permeability transition pore (mPTP) opening that contributes to mitochondrial dysfunction. CypD is regulated by its acetylation/deacetylation state that depends on Sirtuin-3 (SIRT3) mitochondrial deacetylase. Since obesity and metabolic syndrome decrease SIRT3 activity and expression, we tested the hypothesis that CypD hyperacetylation promotes mitochondrial dysfunction under this pathophysiological state, which is associated with ventricular dysfunction and heart failure. METHODS Myocardial tissue samples from patients with left ventricular heart failure, with either obesity or normal weight, were processed for the expression of SIRT3 and acetylation profile by Western Blot (WB). In addition, a rat model of obesity and metabolic syndrome induced by 30% (w/v) of sucrose was conducted. The WB analysis was used to determine the levels of mitochondrial expression of SIRT3, Adenine Nucleotide Translocator (ANT), CypD and the acetylation profile, as well as immunoprecipitation to establish the acetylation levels of CypD. Mitochondrial function was assessed by oxygen consumption analysis and maximum Ca2+ retention capacity. Oxidative stress was assessed by aconitase activity, protein carbonyl and thiol groups content. RESULTS SIRT3 expression in the biopsies of the failing human hearts showed a 46% decrease in the expression levels of obese patients in comparison to the non-obese patients (p=0.0219). Remarkably, body mass index was associated with protein acetylation (0.627; p = 0.035), suggesting that the acetylation profiles of the failing hearts of obese patients are partly mediated by a reduction in SIRT3, which is also associated with higher BNP levels, indicating a more severe ventricular dysfunction (-0.636; p = 0.043). Accordingly, obese rats demonstrated a SIRT3 mitochondrial expression decrease of 22% concomitantly with a hyperacetylated mitochondrial profile, including CypD. Cardiac mitochondria from obese animals were 2.5-fold more prone to mPTP opening than the controls. CONCLUSION Our results indicate that obesity reduces SIRT3 expression and that CypD hyperacetylation increases mPTP opening, suggesting that the activation of SIRT3 might be a potential target to decrease ventricular dysfunction and slow the progression of heart failure.
Frequency of urinary tract infection in children with antenatal diagnosis of urinary tract dilatation

Background Neonates with congenital urinary tract dilatation (UTD) may have an increased risk of urinary tract infections (UTI). At present, the management of these patients is controversial and the utility of continuous antibiotic prophylaxis (CAP) remains uncertain as the literature presents contradicting evidence. The aim of this observational study was to assess UTI occurrence in children with prenatal diagnosis of urinary collecting system dilatation without antibiotic prophylaxis. Methods Between June 2012 and August 2016, we evaluated the incidence of UTI and the clinical and ultrasonography evolution in 407 children with a prenatally diagnosed UTD. All subjects underwent two prenatal ultrasounds scans (USs) at 20 weeks and 30 weeks of gestation and within 1 month of birth. Patients with a confirmed diagnosis of UTD underwent US follow-up at 6, 12 and 24 months of life. According to the UTD classification system stratify risk, after birth UTD were classified into three groups: UTD-P1 (low risk group), UTD-P2 (intermediate risk group), and UTD-P3 (high risk group). Voiding cystourethrogram was performed in all patients who presented a UTI and in those with UTD-P3. No patient underwent CAP. Results Postnatal US confirmed UTD in 278 out of 428 patients with the following rates: UTD-P1 (126), UTD-P2 (95) and UTD-P3 (57). During postnatal follow-up, 6.83% patients presented a UTI (19 out of 278). Eleven out of 19 had vesicoureteral reflux (VUR), and other four were diagnosed with obstructive uropathy and underwent surgical correction. Five patients presented a UTI reinfection. Conclusion The occurrence of UTI in patients with urinary collecting system dilatation was low. The recent literature reports an increased selection of multirestistant germs in patients with VUR exposed to CAP. This study constitutes a strong hint that routine continuous antibiotic prophylaxis could be avoided in patients with UTD.
Two-Pass End-to-End Speech Recognition

The requirements for many applications of state-of-the-art speech recognition systems include not only low word error rate (WER) but also low latency. Specifically, for many use-cases, the system must be able to decode utterances in a streaming fashion and faster than real-time. Recently, a streaming recurrent neural network transducer (RNN-T) end-to-end (E2E) model has shown to be a good candidate for on-device speech recognition, with improved WER and latency metrics compared to conventional on-device models [1]. However, this model still lags behind a large state-of-the-art conventional model in quality [2]. On the other hand, a non-streaming E2E Listen, Attend and Spell (LAS) model has shown comparable quality to large conventional models [3]. This work aims to bring the quality of an E2E streaming model closer to that of a conventional system by incorporating a LAS network as a second-pass component, while still abiding by latency constraints. Our proposed two-pass model achieves a 17%-22% relative reduction in WER compared to RNN-T alone and increases latency by a small fraction over RNN-T.
CONNECTION OF THE GENETIC POLYMORPHISM CYP3A5 AND SLCO1B1 WITH THE MUSCULAR SYMPTOMS, CAUSED BY SIMVASTATIN IN PATIENTS WITH CHD, ETHNIC UZBEKS: RESULTS OF THE CASE-CONTROL STUDY

Цель исследования. Изучить возможное влияние полиморфизма генов CYP3A5 (6986A>G), CYP2C9 (430C>T), CYP2C9 (1075A>C), SLCO1B1 (521T>C) и BCRP (ABCG2, 421C>A) на возникновение мышечных симптомов при лечении симвастатином у больных ишемической болезнью сердца, этнических узбеков. Материал и методы. В исследование по методу «случай-контроль» были включены 63 больных с хронической ишемической болезнью сердца (ИБС). Группу «случай» составили 13 пациентов, у которых были зарегистрированы клинические симптомы миопатии, у 4 из них одновременно отмечено повышение уровня трансаминаз >3 раз. В группу «контроль» были включены 50 пациентов с хронической ИБС, без побочных эффектов при лечении симвастатином. Генотипирование было выполнено PCR-RFLP методом. Результаты. При сравнении распространённости наиболее часто встречающихся гомозиготных генотипов с вариантными, оказалось, что в группе «случай» преобладал генотип *3/*3 гена CYP3A5 (ОШ 8,56; 95% ДИ 2,14-34,1; Р=0,003). При сравнении частоты распределения аллелей гена SLCO1B1 в группе случай преобладало носительство аллели С (ОШ 3,54; 95%; ДИ 1,35-9,27; χ2=5,7; Р=0,017). Заключение. У больных ИБС, этнических узбеков, носительство генотипа *3/*3 гена CYP3A5 и аллеля С гена SLCO1B1 ассоциировано с мышечными симптомами вызванными симвастатином. Ключевые слова: непереносимость статинов, полиморфизмы генов CYP3A5, CYP2C9, SLCO1B1, BCRP. Для цитирования: Шек АБ, Курбанов РД, Абдуллаева ГЖ, Нагай АВ, Хошимов ШУ, Низамов УИ, Зияева АВ. Связь генетического полиморфизма CYP3A5 и SLCO1B1 с мышечными симптомами, вызванными симвастатином у больных ИБС, этнических узбеков: результаты исследования случай-контроль. Сибирское медицинское обозрение. 2017;(2):35-41.DOI: 10.20333/2500136-2017-2-35-41
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

Intelligent reflecting surfaces (IRSs) constitute a disruptive wireless communication technique capable of creating a controllable propagation environment. In this paper, we propose to invoke an IRS at the cell boundary of multiple cells to assist the downlink transmission to cell-edge users, whilst mitigating the inter-cell interference, which is a crucial issue in multicell communication systems. We aim for maximizing the weighted sum rate (WSR) of all users through jointly optimizing the active precoding matrices at the base stations (BSs) and the phase shifts at the IRS subject to each BS’s power constraint and unit modulus constraint. Both the BSs and the users are equipped with multiple antennas, which enhances the spectral efficiency by exploiting the spatial multiplexing gain. Due to the non-convexity of the problem, we first reformulate it into an equivalent one, which is solved by using the block coordinate descent (BCD) algorithm, where the precoding matrices and phase shifts are alternately optimized. The optimal precoding matrices can be obtained in closed form, when fixing the phase shifts. A pair of efficient algorithms are proposed for solving the phase shift optimization problem, namely the Majorization-Minimization (MM) Algorithm and the Complex Circle Manifold (CCM) Method. Both algorithms are guaranteed to converge to at least locally optimal solutions. We also extend the proposed algorithms to the more general multiple-IRS and network MIMO scenarios. Finally, our simulation results confirm the advantages of introducing IRSs in enhancing the cell-edge user performance.
Genetic diversity in cultivated Salvia officinalis L . using molecular markers

Albania continues to be a significant supplier of wild Medicinal and Aromatic Plants to the world markets of which Sage remains the major export item accounting for about 70% of the total sage imports to the US in 2013. Sage plants were randomly picked from different cultivation sites in Albania (North/Koplik; Southeast/Skrapar and South/Libohove) in order to screen genetic diversity amongst them employing Randomly Amplified Polymorphic DNA markers using twenty decameric oligonucleotide primers. A total of 2132 DNA bands were generated of which notably clear and scorable were 1555 (from 150 to 1999bp). Primers produced between 63 and 156 bands per Sage plant with an average of 107 bands per primer. Cultivated Sage plant generated between 112 to166 DNA bands with an average of 143 bands per plant. DNA banding patterns, obtained from the Shimadzu Multina PCR-RAPD analysis, were quite polymorphic and were used to carry out hierarchical cluster analysis using the average linkage between groups method of SPSS version 22. The dendrogram showed splitting of the North cultivated Sage from the Southern (southeast and south) group due to (dis)similarity in climate and soil structure/texture. Southeast cultivated Sage plants exhibited some genetic diversity within the group (intrinsic factors driven). This study indicates that RAPDs were fast and easy to use and proved to be efficient discriminatory tools detecting a high level of polymorphism within the same species (intraspecific level) which is explained with ecological variation and the genetic make-up of each individual.
Dock5 is a new regulator of microtubule dynamic instability in osteoclasts

Osteoclast resorption is dependent on a podosome‐rich structure called sealing zone. It tightly attaches the osteoclast to the bone creating a favourable acidic microenvironment for bone degradation. This adhesion structure needs to be stabilised by microtubules whose acetylation is maintained by down‐regulation of deacetylase HDAC6 and/or of microtubule destabilising kinase GSK3β activities. We already established that Dock5 is a guanine nucleotide exchange factor for Rac1. As a consequence, Dock5 inhibition results in a decrease of the GTPase activity associated with impaired podosome assembly into sealing zones and resorbing activity in osteoclasts. More, administration of C21, a chemical compound that directly inhibits the exchange activity of Dock5, disrupts osteoclast podosome organisation and protects mice against bone degradation in models recapitulating major osteolytic diseases.
Design and Characterization of SGK3-PROTAC1, an Isoform Specific SGK3 Kinase PROTAC Degrader

SGK3 is a PX domain containing protein kinase activated at endosomes downstream of class 1 and 3 PI3K family members by growth factors and oncogenic mutations. SGK3 plays a key role in mediating resistance of breast cancer cells to class 1 PI3K or Akt inhibitors, by substituting for the loss of Akt activity and restoring proliferative pathways such as mTORC1 signaling. It is therefore critical to develop tools to potently target SGK3 and obstruct its role in inhibitor resistance. Here, we describe the development of SGK3-PROTAC1, a PROTAC conjugate of the 308-R SGK inhibitor with the VH032 VHL binding ligand, targeting SGK3 for degradation. SGK3-PROTAC1 (0.3 μM) induced 50% degradation of endogenous SGK3 within 2 h, with maximal 80% degradation observed within 8 h, accompanied by a loss of phosphorylation of NDRG1, an SGK3 substrate. SGK3-PROTAC1 did not degrade closely related SGK1 and SGK2 isoforms that are nevertheless engaged and inhibited by 308-R. Proteomic analysis revealed that SGK3 was the only cellular protein whose cellular levels were significantly reduced following treatment with SGK3-PROTAC1. Low doses of SGK3-PROTAC1 (0.1–0.3 μM) restored sensitivity of SGK3 dependent ZR-75-1 and CAMA-1 breast cancer cells to Akt (AZD5363) and PI3K (GDC0941) inhibitors, whereas the cis epimer analogue incapable of binding to the VHL E3 ligase had no impact. SGK3-PROTAC1 suppressed proliferation of ZR-75-1 and CAMA-1 cancer cell lines treated with a PI3K inhibitor (GDC0941) more effectively than could be achieved by a conventional SGK isoform inhibitor (14H). This work underscores the benefit of the PROTAC approach in targeting protein kinase signaling pathways with greater efficacy and selectivity than can be achieved with conventional inhibitors. SGK3-PROTAC1 will be an important reagent to explore the roles of the SGK3 pathway.
Public attitudes towards healthcare policies promoting tobacco cessation in Germany: results from the representative German study on tobacco use (DEBRA study)

Objective The aim of this study was to assess public acceptance of four possible healthcare policies supporting tobacco dependence treatment in line with the Framework Convention for Tobacco Control, Article 14 recommendations in Germany. Design Cross-sectional household survey. Setting Data were drawn from the German population and collected through computer-assisted, face-to-face interviews. Participants Representative random sample of 2087 people (>14 years) from the German population. Outcome measures Public acceptance was measured regarding (1) treatment cost reimbursement, (2) standard training for health professionals on offering cessation treatment, and making cessation treatment a standard part of care for smokers with (3) physical or (4) mental disorders. Association characteristics with smoking status and socio-economic status (SES) were assessed. Results Support for all policies was high (50%–68%), even among smokers (48%–66%). Ex-smokers and never-smokers were more likely to support standard training on cessation for health professionals than current smokers (OR 1.43, 95% CI 1.07 to 1.92; OR 1.43; 95% CI 1.14 to 1.79, respectively). Ex-smokers were also more likely than current smokers to support cessation treatment for smokers with mental disorders (OR 1.39, 95% CI 1.11 to 1.73). Men were less likely than women to support cessation treatment for smokers with physical diseases (OR 0.74, 95% CI 0.60 to 0.91) and free provision of treatment (OR 0.80, 95% CI 0.66 to 0.97). Offering cessation treatment to smokers with physical disorders was generally more accepted than to those with mental health issues. Conclusions The majority of the German population supports healthcare policies to improve the availability and affordability of tobacco dependence treatment. Non-smokers were more supportive than current smokers of two of the four policies, but odds of support were only about 40% higher. SES characteristics were not consistently associated with public acceptance. Trial registration number DRKS00011322.
Variational Denoising Network: Toward Blind Noise Modeling and Removal

Blind image denoising is an important yet very challenging problem in computer vision due to the complicated acquisition process of real images. In this work we propose a new variational inference method, which integrates both noise estimation and image denoising into a unique Bayesian framework, for blind image denoising. Specifically, an approximate posterior, parameterized by deep neural networks, is presented by taking the intrinsic clean image and noise variances as latent variables conditioned on the input noisy image. This posterior provides explicit parametric forms for all its involved hyper-parameters, and thus can be easily implemented for blind image denoising with automatic noise estimation for the test noisy image. On one hand, as other data-driven deep learning methods, our method, namely variational denoising network (VDN), can perform denoising efficiently due to its explicit form of posterior expression. On the other hand, VDN inherits the advantages of traditional model-driven approaches, especially the good generalization capability of generative models. VDN has good interpretability and can be flexibly utilized to estimate and remove complicated non-i.i. d. noise collected in real scenarios. Comprehensive experiments are performed to substantiate the superiority of our method in blind image denoising.