Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of PEGylation on Ligand-Targeted Magnetoliposomes: A Missed Goal

We tested the targeting efficiency of magnetoliposomes (MLPs) labeled with tripeptide arginine-glycine-aspartic acid (RGD) on two types of cells: HeLa cells expressing RGD receptors and 3T3 cells lacking RGD receptors. The targeting ability of RGD-MLPs was compared to that of bare MLPs and MLPs stabilized with poly(ethylene glycol) (PEG). Cellular internalization of these liposomes was determined by flow cytometry and confocal microscopy, which showed that both types of cells took up more nontargeting MLPs than targeting RGD-MLPs or PEG-MLPs, with PEG-MLPs showing the lowest degree of internalization. The presence of specific receptors on HeLa cells did not facilitate the binding of RGD-MLPs, probably due to the presence of PEG chains on the liposomal surface. The polymer increases the circulation time of the liposomes in the organism but reduces their interactions with cells. Despite the localization of the RGD peptide on the tip of PEG in RGD-MLPs, the interaction between the liposome and cell was still limited. To avoid this drawback, targeting drug delivery systems can be prepared with two types of PEG: one of a short length to enable biocompatibility and the other of a longer chain to carry the ligand.
Effect of sampling procedure on the quality control metrics of cytoscan HD array for studying cytogenetic aspects of colorectal cancer

Objectives: The method of colorectal cancer (CRC) tissue sampling would affect its molecular profile and the downstream processing. In this study, we described the impact of CRC tissue sampling procedures on the quality control (QC) metrics of cytoscan HD array. Methods: We employed a high-resolution cytoscan HD microarray platform to investigate the chromosomal aberrations that could be associated with CRC. We compared the tissue extraction procedures and their impact on the QC parameters from the cytoscan HD array determined by chromosome analysis software (Suite3.1). Median of absolute values of all pairwise differences (MAPD), waviness-standard deviation (Waviness-SD), and single nucleotide polymorphism QC (SNPQC) were the QC parameters that were analyzed. Results: From 67 patients, we collected 843 colorectal tissues. Of these, 65.7% were obtained through endoscopic procedures, and the rest was after surgical resections. The mean transit time between tissue excision and preservation was 26 ± 15.5 and 74.6 ± 24.8 min, respectively. The tissues extracted from the surgical procedure showed mean MAPD of 0.28 ± 0.06 compared to 0.24 ± 0.06, for endoscopy, P = 0.005, degree of waviness-SD of 0.20 ± 0.1 compared to 0.2 ± 0.1, P = 0.64, and SNPQC of 9.6 ± 4.2 compared to 11.1 ± 4.6, P = 0.23. Conclusions: This report provides objective results that can help in tissue sampling intended to be used for DNA based molecular studies. Tissue collection protocol should be optimized to support microarray-analysis methods. Tissue extraction from endoscopic procedures had faster transit time and relatively better quality metrics outcome than surgical procedures. However, surgical procedures have less refusal rate, higher tissue quantity, and less negative results for malignancy.
Optimizing Whole-Page Presentation for Web Search

Modern search engines aggregate results from different verticals: webpages, news, images, video, shopping, knowledge cards, local maps, and so on. Unlike “ten blue links,” these search results are heterogeneous in nature and not even arranged in a list on the page. This revolution directly challenges the conventional “ranked list” formulation in ad hoc search. Therefore, finding proper presentation for a gallery of heterogeneous results is critical for modern search engines. We propose a novel framework that learns the optimal page presentation to render heterogeneous results onto search result page (SERP). Page presentation is broadly defined as the strategy to present a set of items on SERP, much more expressive than a ranked list. It can specify item positions, image sizes, text fonts, and any other styles as long as variations are within business and design constraints. The learned presentation is content aware, i.e., tailored to specific queries and returned results. Simulation experiments show that the framework automatically learns eye-catchy presentations for relevant results. Experiments on real data show that simple instantiations of the framework already outperform leading algorithm in federated search result presentation. It means the framework can learn its own result presentation strategy purely from data, without even knowing the “probability ranking principle. ”
B vitamins for stroke prevention

Supplementation with B vitamins (vitamin B9(folic acid), vitamin B12 and vitamin B6) lowers blood total homocysteine (tHcy) concentrations by about 25% and reduces the relative risk of stroke overall by about 10% (risk ratio (RR) 0.90, 95% CI 0.82 to 0.99) compared with placebo. Homocysteine-lowering interventions have no significant effect on myocardial infarction, death from any cause or adverse outcomes. Factors that appear to modify the effect of B vitamins on stroke risk include low folic acid status, high tHcy, high cyanocobalamin dose in patients with impaired renal function and concurrent antiplatelet therapy. In regions with increasing levels or established policies of population folate supplementation, evidence from observational genetic epidemiological studies and randomised controlled clinical trials is concordant in suggesting an absence of benefit from lowering of homocysteine with folic acid for prevention of stroke. Clinical trials indicate that in countries which mandate folic acid fortification of food, folic acid supplementation has no significant effect on reducing stroke risk (RR 1.05, 95% CI 0.90 to 1.23). However, in countries without mandatory folic acid food fortification, folic acid supplementation reduces the risk of stroke by about 15% (RR 0.85, 95% CI 0.77 to 0.94). Folic acid alone or in combination with minimal cyanocobalamin (≤0.05 mg/day) is associated with an even greater reduction in risk of future stroke by 25% (RR 0.75, 95% CI 0.66 to 0.86), whereas the combination of folic acid and a higher dose of cyanocobalamin (≥0.4 mg/day) is not associated with a reduced risk of future stroke (RR 0.95, 95% CI 0.86 to 1.05). The lack of benefit of folic acid plus higher doses of cyanocobalamin (≥0.4 mg/day) was observed in trials which all included participants with chronic kidney disease. Because metabolic B12 deficiency is very common and usually not diagnosed, future randomised trials of homocysteine-lowering interventions for stroke prevention should probably test a combination of folic acid and methylcobalamin or hydroxocobalamin instead of cyanocobalamin, and perhaps vitamin B6.
Full-Complexity Characterization of Control-Invariant Domains for Systems With Uncertain Parameter Dependence

This letter proposes an algorithm to find a robust control invariant (RCI) set of desired complexity and the associated linear, state-feedback control law. The candidate RCI set is restricted to be symmetric around the origin. The algorithm is applicable to rational parameter dependent systems with bounded additive disturbance. The system constraints are framed as simple affine inequalities whereas the invariance condition as a set of sufficient LMI conditions. The proposed iterative algorithm is guaranteed to be recursively feasible and converge to some stationary point.
A Single-Center Study of Viral Respiratory Tract Infections in Hospitalized Children From the Kurdistan Region of Iraq

Viral respiratory infections are among the most common causes of disease in humans, particularly in young children, and remain a major public health problem worldwide. For many geographic regions, there is limited epidemiological information on the main causative agents of these diseases. In this article, we investigated, in a prospective study, the viral agents leading to acute respiratory disease in children younger than 15 years of age who were admitted to the pediatric emergency unit of a major teaching hospital in Erbil City, capital of the Kurdistan region, Iraq. Nasopharyngeal samples obtained from 269 hospitalized children were analyzed for viral respiratory pathogens using the xTAG Respiratory Virus Panel Fast assay, and the data were correlated with the clinical and demographic information available for these patients. One or more respiratory virus(es) were detected in 203 out of 269 (75.5%) samples. The most frequent viruses were enterovirus/rhinovirus (n = 88; 32.7%), respiratory syncytial virus (n = 55; 20.4%), and human metapneumovirus (n = 36; 13.4%). In 42 samples (15.6%), coinfections with 2 or more respiratory viruses were detected, with enterovirus/rhinovirus, respiratory syncytial virus, human metapneumovirus, and adenovirus being identified as the most common agents in viral coinfections in these patients.
Neurons in the Hippocampus of Crows Lack Responses to Non-spatial Abstract Categories

Lesion studies suggest a role of the avian hippocampus in spatial and episodic memory. However, whether the avian hippocampus is also involved in processing categorical information and non-spatial working memory contents remains unknown. To address this question, we trained two crows in a delayed-match-to-sample test to assess and briefly memorize the number of items in dot displays, i.e., their numerosity. We recorded neuronal activity in hippocampus while crows solved this task. Hardly any hippocampal neurons responded to the category ‘numerosity,’ during neither sample presentation, nor during the memory delay. This was in striking contrast to previous recordings in the telencephalic association area ‘nidopallium caudolaterale’ (NCL) of the same crows, in which we previously reported an abundance of numerosity-selective and working memory-selective neurons. Our data suggest that categorical information is not processed in the avian hippocampus.
Dietary Habits in Patients with Chronic Spontaneous Urticaria: Evaluation of Food as Trigger of Symptoms Exacerbation

Background Many patients with chronic spontaneous urticaria (CSU) identify different foods as triggers of their symptoms and frequently make dietary restrictions without enough information. Objective To explore the diet habits of CSU patients and estimate the clinical impact of the foods most frequently reported to be suspect. Methodology Patients were interrogated about their clinical history of urticaria. Skin prick test and sIgE serum were done for most frequently reported foods by patients. Food challenge test was also performed. A group of healthy subjects was included to compare the dietary habits and the results of the diagnostic tests. Results Patients with CSU (n 245) and healthy (n 127) subjects were included. 164 (66%) subjects from CSU group and 31 (24%) from the control group reported at least one adverse reaction with foods. Food IgE sensitization was similar in both groups (17.5% versus 16.5%, respectively). 410 food challenge tests in 164 CSU patients and 38 in 38 control subjects were performed. 1.2% in CSU group and 0.7% in control group had a positive oral challenge test. Conclusion Despite the high frequency of self-report by patients, foods are uncommon triggers of CSU. Nevertheless, food challenge tests have to be offered early during medical evaluation to avoid unnecessary restrictions.
On Computing Centroids According to the p-Norms of Hamming Distance Vectors

In this paper we consider the $p$-Norm Hamming Centroid problem which asks to determine whether some given binary strings have a centroid with a bound on the $p$-norm of its Hamming distances to the strings. Specifically, given a set of strings $S$ and a real $k$, we consider the problem of determining whether there exists a string $s^*$ with $\big(\sum_{s \in S}d^p(s^*,s)\big)^{1/p} \leq k$, where $d(,)$ denotes the Hamming distance metric. This problem has important applications in data clustering, and is a generalization of the well-known polynomial-time solvable \textsc{Consensus String} $(p=1)$ problem, as well as the NP-hard \textsc{Closest String} $(p=\infty)$ problem. Our main result shows that the problem is NP-hard for all fixed rational $p > 1$, closing the gap for all rational values of $p$ between $1$ and $\infty$. Under standard complexity assumptions the reduction also implies that the problem has no $2^{o(n+m)}$-time or $2^{o(k^{\frac{p}{(p+1)}})}$-time algorithm, where $m$ denotes the number of input strings and $n$ denotes the length of each string, for any fixed $p > 1$. Both running time lower bounds are tight. In particular, we provide a $2^{k^{\frac{p}{(p+1)}+\varepsilon}}$-time algorithm for each fixed $\varepsilon > 0$. In the last part of the paper, we complement our hardness result by presenting a fixed-parameter algorithm and a factor-$2$ approximation algorithm for the problem.
Generative Adversarial Imitation from Observation

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions. The lack of action information both distinguishes IfO from most of the literature in imitation learning, and also sets it apart as a method that may enable agents to learn from a large set of previously inapplicable resources such as internet videos. In this paper, we propose both a general framework for IfO approaches and also a new IfO approach based on generative adversarial networks called generative adversarial imitation from observation (GAIfO). We conduct experiments in two different settings: (1) when demonstrations consist of low-dimensional, manually-defined state features, and (2) when demonstrations consist of high-dimensional, raw visual data. We demonstrate that our approach performs comparably to classical imitation learning approaches (which have access to the demonstrator's actions) and significantly outperforms existing imitation from observation methods in high-dimensional simulation environments.
Body density of humpback whales (Megaptera novaengliae) in feeding aggregations estimated from hydrodynamic gliding performance

Many baleen whales undertake annual fasting and feeding cycles, resulting in substantial changes in their body condition, an important factor affecting fitness. As a measure of lipid-store body condition, tissue density of a few deep diving marine mammals has been estimated using a hydrodynamic glide model of drag and buoyancy forces. Here, we applied the method to shallow-diving humpback whales (Megaptera novaeangliae) in North Atlantic and Antarctic feeding aggregations. High-resolution 3-axis acceleration, depth and speed data were collected from 24 whales. Measured values of acceleration during 5 s glides were fitted to a hydrodynamic glide model to estimate unknown parameters (tissue density, drag term and diving gas volume) in a Bayesian framework. Estimated species-average tissue density (1031.6 ± 2.1 kg m-3, ±95% credible interval) indicates that humpback whale tissue is typically negatively buoyant although there was a large inter-individual variation ranging from 1025.2 to 1043.1 kg m-3. The precision of the individual estimates was substantially finer than the variation across different individual whales, demonstrating a progressive decrease in tissue density throughout the feeding season and comparably high lipid-store in pregnant females. The drag term (CDAm-1) was estimated to be relatively high, indicating a large effect of lift-related induced drag for humpback whales. Our results show that tissue density of shallow diving baleen whales can be estimated using the hydrodynamic gliding model, although cross-validation with other techniques is an essential next step. This method for estimating body condition is likely to be broadly applicable across a range of aquatic animals and environments.
The Role of Fur in the Transcriptional and Iron Homeostatic Response of Enterococcus faecalis

The ferric uptake regulator (Fur) plays a major role in controlling the expression of iron homeostasis genes in bacterial organisms. In this work, we fully characterized the capacity of Fur to reconfigure the global transcriptional network and influence iron homeostasis in Enterococcus faecalis. The characterization of the Fur regulon from E. faecalis indicated that this protein (Fur) regulated the expression of genes involved in iron uptake systems, conferring to the system a high level of efficiency and specificity to respond under different iron exposure conditions. An RNAseq assay coupled with a systems biology approach allowed us to identify the first global transcriptional network activated by different iron treatments (excess and limited), with and without the presence of Fur. The results showed that changes in iron availability activated a complex network of transcriptional factors in E. faecalis, among them global regulators such as LysR, ArgR, GalRS, and local regulators, LexA and CopY, which were also stimulated by copper and zinc treatments. The deletion of Fur impacted the expression of genes encoding for ABC transporters, energy production and [Fe-S] proteins, which optimized detoxification and iron uptake under iron excess and limitation, respectively. Finally, considering the close relationship between iron homeostasis and pathogenesis, our data showed that the absence of Fur increased the internal concentration of iron in the bacterium and also affected its ability to produce biofilm. These results open new alternatives in the field of infection mechanisms of E. faecalis.
Novel Trajectories of Bromocriptine Antidiabetic Action: Leptin-IL-6/ JAK2/p-STAT3/SOCS3, p-IR/p-AKT/GLUT4, PPAR-γ/Adiponectin, Nrf2/PARP-1, and GLP-1

Bromocriptine (BC), a sympatholytic dopaminergic D2 receptor agonist, has been comprehensively used in clinic to treat Parkinson’s disease (PD) and prolactinomas. Besides, BC represents a novel therapeutic option in type 2 diabetes (T2DM); however, the precise mechanisms are not completely unveiled. Hence, the objective of the current work is to clarify the potential molecular pathways of the insulin sensitizing effect of BC in the skeletal muscle of diabetic rats and to evaluate its possible interaction with sitagliptin (SG) as an add-on therapy. Here experimental model impersonates unhealthy dietary habit and T2DM was adopted, in which rats were fed high caloric diet of fat and fructose for 6 weeks followed by a single sub-diabetogenic dose of streptozotocin (STZ) (35 mg/kg; HF/Fr/STZ). Diabetic rats were treated with BC, SG at two dose levels (SG10 and SG20) and combination of BC + SG10 for 2 weeks. BC successfully corrected glucose/lipid profile, as well as leptin and GLP-1. On the muscular molecular level, BC curtailed the inflammatory signal IL-6/JAK2/p-STAT3/SOCS3, while enhanced the PPAR-γ/adiponectin signaling, resulting in activation of the insulin signaling pathway (p-IR/p-AKT/GLUT4). Moreover, BC confirmed its antioxidant capabilities by altering Nrf2 and PARP-1; the study also highlighted novel mechanisms for SG as well. On almost all tested parameters/pathways, the combination regimen surpassed each drug alone to reach a comparable level to the high dose of SG. In conclusion, our finding shed some light on novel anti-diabetic mechanisms of BC. The study also points to the potential use of BC as an adds-on to standard anti-diabetic therapies.
Load-Balanced Task Allocation for Improved System Lifetime in Mobile Crowdsensing

Mobile CrowdSensing (MCS) applications rely on sensor data collected from a number of mobile participant devices; the participant devices need to sustain in the system for longer duration in order to services multiple requests. In this work, we propose two online load-balanced algorithms, that use available resources on mobile devices, to efficiently allocate tasks to a subset of participants. We have conducted extensive simulations to compare our algorithms with three baseline approaches and observed significant improvements in the system lifetime and the total number of tasks serviced. To further validate our results, we also conduct real-world experiments on 8 smartphones. We achieve 29.3% increase in the number of tasks serviced, with drastic improvements in system lifetime (in resource constrained cases) over the state-of-the-art approaches.
Simulation of partial discharges initiation in voids in medium voltage cables insulators

This article studies the behavior of the underground electric cables for medium voltage. We are interested in the appearance conditions of partial electric discharges in the voids observed in the insulating parts of these cables. Their dimensions vary from 1 to 20 μm. We focused on solving the Laplace equation for the electrical and the thermal constraints by the finite element method. The main objective of this study is to show that the classical Paschen curve cannot be used in this case. For this reason, we have proposed a modification of this curve which takes into account the insulating part in XLPE. We show in these cables that the partial electric discharges happen only beyond a nominal voltage of 44.2 kV. On the other hand, we conclude that the real charges at the void's wall are higher than the apparent charges and can be up to 3500 times more. The real charge values are of the order of 10−4 to 10−8 pC depending on the size of the void.
ANTRENÖR-SPORCU İLİŞKİSİNİN DEĞERLENDİRİLMESİ: GEÇERLİK VE GÜVENİRLİK ÇALIŞMASI.

Bu calismanin amaci, Jowett ve Ntoumanis (2004) tarafindan gelistirilen “Antrenor-Sporcu Iliskisi Envanteri”’nin Turkce versiyonunun psikometrik ozelliklerinin test edilmesidir. Calismaya, 71 been developed by Jowett and Ntoumanis (2004). antrenor (yas=35.75r10.71) ve 151 sporcu ( Envanterin yapi gecerligini degerlendirmek icin dogrulayici faktor analizi kullanilmistir. Yapi yas=15.66r1.87) gonullu olarak katilmistir. icin 0.69 ile 0.78 arasinda degismektedir. Sonuc olarak, “Antrenor-Sporcu Iliskisi Envanteri”’nin hem antrenorler hem de sporcular icin gecerli ve guvenilir bir olcum araci oldugunu soyleyebiliriz
Quantitative Study on Dissolution Behavior of Nd2O3 in Fluoride Melts

The dissolution of rare earth oxides in molten fluorides is a critical step in the preparation of the corresponding rare earth metals by oxide-fluoride electrolysis. However, quantitatively understanding the nature of dissolution, especially in the case of molten salts, is usually difficult to be achieved by postmortem characterization. In this paper, the dissolution behavior of Nd2O3 particles in molten fluorides was studied via in situ observation with confocal scanning laser microscopy. Combining direct observation with thermodynamic analyses on the oxide dissolution, the rate-limiting step(s) and the effects of parameters like temperature, salt type, and composition on the dissolution rate are identified. This study provides a methodology to estimate the dissolution kinetics of rare earth oxides in molten fluorides during their primary and secondary processing.
A Dense CNN approach for skin lesion classification

This article presents a Deep CNN, based on the DenseNet architecture jointly with a highly discriminating learning methodology, in order to classify seven kinds of skin lesions: Melanoma, Melanocytic nevus, Basal cell carcinoma, Actinic keratosis / Bowen's disease, Benign keratosis, Dermatofibroma, Vascular lesion. In particular a 61 layers DenseNet, pre-trained on IMAGENET dataset, has been fine-tuned on ISIC 2018 Task 3 Challenge Dataset exploiting a Center Loss function.