Miracle-dz/UniFAR-FTUs huggingface dataset:
Multilevel Schwarz preconditioners for singularly perturbed symmetric reaction-diffusion systems

We present robust and highly parallel multilevel non-overlapping Schwarz preconditioners, to solve an interior penalty discontinuous Galerkin finite element discretization of a system of steady state, singularly perturbed reaction-diffusion equations with a singular reaction operator, using a GMRES solver. We provide proofs of convergence for the two-level setting and the multigrid V-cycle as well as numerical results for a wide range of regimes.
Submodular maximization with matroid and packing constraints in parallel

We consider the problem of maximizing the multilinear extension of a submodular function subject a single matroid constraint or multiple packing constraints with a small number of adaptive rounds of evaluation queries. We obtain the first algorithms with low adaptivity for submodular maximization with a matroid constraint. Our algorithms achieve a 1−1/e−є approximation for monotone functions and a 1/e−є approximation for non-monotone functions, which nearly matches the best guarantees known in the fully adaptive setting. The number of rounds of adaptivity is O(log2 n/є3), which is an exponential speedup over the existing algorithms. We obtain the first parallel algorithm for non-monotone submodular maximization subject to packing constraints. Our algorithm achieves a 1/e−є approximation using O(log(n/є) log(1/є) log(n+m)/ є2) parallel rounds, which is again an exponential speedup in parallel time over the existing algorithms. For monotone functions, we obtain a 1−1/e−є approximation in O(log(n/є)logm/є2) parallel rounds. The number of parallel rounds of our algorithm matches that of the state of the art algorithm for solving packing LPs with a linear objective (Mahoney et al., 2016). Our results apply more generally to the problem of maximizing a diminishing returns submodular (DR-submodular) function.
Sirtuin 1 represses PKC‐ζ activity through regulating interplay of acetylation and phosphorylation in cardiac hypertrophy

Activation of PKC‐ζ is closely linked to the pathogenesis of cardiac hypertrophy. PKC‐ζ can be activated by certain lipid metabolites such as phosphatidylinositol (3,4,5)‐trisphosphate and ceramide. However, its endogenous negative regulators are not well defined. Here, the role of the sirtuin1‐PKC‐ζ signalling axis and the underlying molecular mechanisms were investigated in cardiac hypertrophy.
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles

In image classification tasks, the ability of deep CNNs to deal with complex image data has proven to be unrivalled. However, they require large amounts of labeled training data to reach their full potential. In specialised domains such as healthcare, labeled data can be difficult and expensive to obtain. Active Learning aims to alleviate this problem, by reducing the amount of labelled data needed for a specific task while delivering satisfactory performance. We propose DEBAL, a new active learning strategy designed for deep neural networks. This method improves upon the current state-of-the-art deep Bayesian active learning method, which suffers from the mode collapse problem. We correct for this deficiency by making use of the expressive power and statistical properties of model ensembles. Our proposed method manages to capture superior data uncertainty, which translates into improved classification performance. We demonstrate empirically that our ensemble method yields faster convergence of CNNs trained on the MNIST and CIFAR-10 datasets.
Toward Autonomous Rotation-Aware Unmanned Aerial Grasping

Autonomous Unmanned Aerial Manipulators (UAMs) have shown promising potentials to transform passive sensing missions into active 3-dimension interactive missions, but they still suffer from some difficulties impeding their wide applications, such as target detection and stabilization. This letter presents a vision-based autonomous UAM with a 3DoF robotic arm for rotational grasping, with a compensation on displacement for center of gravity. First, the hardware, software architecture and state estimation methods are detailed. All the mechanical designs are fully provided as open-source hardware for the reuse by the community. Then, we analyze the flow distribution generated by rotors and plan the robotic arm's motion based on this analysis. Next, a novel detection approach called Rotation-SqueezeDet is proposed to enable rotation-aware grasping, which can give the target position and rotation angle in near real-time on Jetson TX2. Finally, the effectiveness of the proposed scheme is validated in multiple experimental trials, highlighting it's applicability of autonomous aerial grasping in GPS-denied environments.
The layer complexity of Arthur-Merlin-like communication

In communication complexity the Arthur-Merlin (AM) model is the most natural one that allows both randomness and non-determinism. Presently we do not have any super-logarithmic lower bound for the AM-complexity of an explicit function. Obtaining such a bound is a fundamental challenge to our understanding of communication phenomena. In this work we explore the gap between the known techniques and the complexity class AM. In the first part we define a new natural class Small-advantage Layered Arthur-Merlin (SLAM) that have the following properties: - SLAM is (strictly) included in AM and includes all previously known sub-AM classes with non-trivial lower bounds. - SLAM is qualitatively stronger than the union of those classes. - SLAM is a subject to the discrepancy bound: in particular, the inner product function does not have an efficient SLAM-protocol. Structurally this can be summarised as SBP $\cup$ UAM $\subset$ SLAM $\subseteq$ AM $\cap$ PP. In the second part we ask why proving a lower bound of $\omega(\sqrt n)$ on the MA-complexity of an explicit function seems to be difficult. Both of these results are related to the notion of layer complexity, which is, informally, the number of "layers of non-determinism" used by a protocol. We believe that further investigation of this concept may lead to better understanding of the communication model AM and to non-trivial lower bounds against it.
How to Modulate Tumor Hypoxia for Preclinical In Vivo Imaging Research

Tumor hypoxia is related with tumor aggressiveness, chemo- and radiotherapy resistance, and thus a poor clinical outcome. Therefore, over the past decades, every effort has been made to develop strategies to battle the negative prognostic influence of tumor hypoxia. For appropriate patient selection and follow-up, noninvasive imaging biomarkers such as positron emission tomography (PET) radiolabeled ligands are unprecedentedly needed. Importantly, before being able to implement these new therapies and potential biomarkers into the clinical setting, preclinical in vivo validation in adequate animal models is indispensable. In this review, we provide an overview of the different attempts that have been made to create differential hypoxic in vivo cancer models with a particular focus on their applicability in PET imaging studies.
Türk Turizm Sektöründe Yabancı İşgören Profili ve Sosyo-Kültürel Uyum Durumları Üzerine Bir Araştırma

Literaturde kulturel uyumun is basarimi uzerinde onemli olcude etkisi olduguna yonelik goruslerin cokluguna ragmen Turkiye’de yabanci isgorenlerin adaptasyonu uygulamalarinin ve bu konuda yapilmis calismalarinin yetersizligi, ozellikle yuksek oranda yabaci istihdam eden turizm sektorunde bir incelemeyi gerekli kilmaktadir. Bu kapsamda, gerceklestirilen arastirmanin amaci, Turkiye’de Turizm Sektorunde calisan yabanci isgoren profilinin tanimlanmasi ve kulturel adaptasyon durumlarinin belirlenmesidir. Arastirmanin amacini gerceklestirmek icin, konuyla ilgili ayrintili literatur taramasi yapilmis ve soz konusu isgoren profiline sahip isletmelerde Sosyo-Kulturel Adaptasyon olcegi kullanilarak, is basarimi beklenen bireyin karakteristigi tanimlanmaya ve sonuc olarak uluslararasi insan kaynaklari yonetimi alani icin yabanci isgoren secim ve degerlendirme surecine ek bir boyut saglamaya calisilmistir. Cok asamali ornekleme yontemi kullanilarak, yabanci isgorenlerin cogunlugunun istihdam edildigi Antalya ve Istanbul sehirlerinde, 1 Temmuz – 31 Agustos 2011 tarihleri arasinda uygulanmis olup turizm isletmelerinde calisan toplam 416 isgoren uzerinde, soz konusu olcek kullanilarak bilgi toplanmistir. Arastirma bulgularina gore, anket uygulanan turizm isletmeleri yabanci isgorenlerinin, aslinda adaptasyondan ziyade bir nitelik problemi oldugu ortaya cikmaktadir. Deneklerin sadece %29’u lisans duzeyi ve uzerinde egitim almis, cogu henuz egitim caginda, ogrenci veya stajyer konumunda kisilerden olusmaktadir. Genc ve beklentisi dusuk duzeyde oldugu belirlenen isgorenler belirgin bir uyum sorunu gostermese de “Memnuniyetsiz biri ile ugrasma”, “Tatmin Edici Olmayan Hizmetlerle Ugrasma”, “Olaylari Turk Bakis Acisi ile Gorme” ve “Burokrasi ile Ugrasma” konularinda daha zorlanmalari, kulturel farkliliklarin, bir problem durumunda belirginlestigine isaret etmektedir.
Does stress affect food preferences? – a randomized controlled trial investigating the effect of examination stress on measures of food preferences and obesogenic behavior

Abstract Lay summary: Human and animal studies have shown that chronic stress interfers with both homeostatic and hedonic appetite control. Here, we investigated the effect of chronic stress on food preferences and eating behavior in real life settings. In random order, fifty healthy students participated in two test periods of 4–5 days; a stressful period (one week prior to an examination) and a nonstressful period (four weeks after an examination). Food preferences were assessed by counting money spent on highly rewarding foods bought with gift certificates, and changes in eating behavior was further assessed by the Three Factor Eating Questionnaire. Cohen’s Perceived Stress Scale, the Recovery-Stress Questionnaire, heart rate variability and Cortisol awakening response were used to evaluate the level of stress. Data on glycemic control, blood pressure, physical activity and sleep were also collected. Forty-four subjects had complete data on the primary outcome. Self-perceived stress was higher and recovery lower in the exam period (p ≤ .001). Subjects were less cognitively restrained (p = .037), less moderately-to-vigorously and lightly physically active (p ≤ .037) and were more sedentary (p = .009) in the examination period. However, no difference was found in money spent on high reward foods, disinhibition or hunger between the examination and control condition. Furthermore, no differences in the physiological markers of stress, glycemic measures and sleep were found. Data does not convincingly support the hypothesis that perceived stress increases the preference for highly palatable foods or leads to adverse effects on different markers of health. However, the stressor might have been to mild to induce obesogenic behaviors.
Effects of exposure to electromagnetic field from mobile phone on serum hepcidin and iron status in male albino rats

ABSTRACT Background: Electromagnetic fields (EMF) created by mobile phones during communication have harmful effects on different organs. Objectives: To explore the effects of exposure to EMF of mobile phones for different durations on hematological parameters and serum hepcidin in male albino rats. Methods: Three groups of eight rats: Sham group: rats were exposed to a mobile phone while it was switched off, Experimental group I: rats were exposed to microwave radiation from a mobile phone at 9 am for 30 min. Experimental group II: rats were exposed to microwave radiations from a mobile phone at 9 am for an hour. In all groups, the exposure was conducted daily for a total period of 5 months, followed by estimation of serum hepcidin, total leukocyte count (TLC), interleukin 6 (IL6), serum iron, serum ferritin, plasma hemoglobin (Hb), hematocrit value (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), unsaturated iron binding capacity (UIBC), total iron binding capacity (TIBC) and 1.25 dihydroxycholecalciferol levels. Results: In Experimental group II, there was a significant increase in serum hepcidin, TLC, IL6 and serum ferritin; however, serum iron, TIBC, UIBC, 1.25 dihydroxycholecalciferol, plasma Hb, Hct, MCV and MCH were significantly lower in comparison to sham-exposed group. In Experimental group I, there was a significant increase in serum hepcidin, IL6 and TLC, along with non-significant changes in the remaining studied parameters in comparison to the sham-exposed group. Conclusion: Chronic exposure to EMF from mobile phones increases hepcidin level with subsequent impairment of iron parameters, in addition to negatively affecting both UIBC and TIBC.
Aerosol Jet Printed 3D Electrochemical Sensors for Protein Detection

The use of electrochemical sensors for the analysis of biological samples is nowadays widespread and highly demanded from diagnostic and pharmaceutical research, but the reliability and repeatability still remain debated issues. In the expanding field of printed electronics, Aerosol Jet Printing (AJP) appears promising to bring an improvement in resolution, miniaturization, and flexibility. In this paper, the use of AJP is proposed to design and fabricate customized electrochemical sensors in term of geometry, materials and 3D liquid sample confinement, reducing variability in the functionalization process. After an analysis of geometrical, electrical and surface features, the optimal layout has been selected. An electrochemical test has been then performed quantifying Interleukin-8, selected as reference protein, by means of Anodic Stripping Voltammetry. AJP sensors have been compared with standard screen-printed electrodes in terms of current density and relative standard deviation. Results from AJP sensors with Ag-based Anodic Stripping Voltammetry confirmed nanostructures capability to reduce the limit of detection (from 2.1 to 0.3 ng/mL). Furthermore, AJP appeared to bring an improvement in term of relative standard deviation from 50 to 10%, if compared to screen-printed sensors. This is promising to improve reliability and repeatability of measurement techniques integrable in several biotechnological applications.
E46K Mutant α-Synuclein Is Degraded by Both Proteasome and Macroautophagy Pathway

Genetic studies have revealed that rare mutations and multiplications of the gene locus in α-synuclein (α-syn) are implicated in the pathogenesis of Parkinson’s disease (PD). However, the pathological effects of α-syn are still obscure. The neurotoxicity of α-syn is mainly determined by its protein levels, which depend on a balance between synthesis and degradation. Therefore, verifying the possible routes contributing to the clearance of α-syn is important for PD therapy. In this study, we established stable lines overexpressing human wild-type (WT) and E46K mutant α-syn in rat PC12 cells and investigated the degradation pathways of α-syn by using a panel of inhibitors and inducers of lysosome and proteasome function. We also monitored the degradation kinetics of α-syn by using cycloheximide to block protein synthesis. Our data showed that both proteasome and chaperon-mediated autophagy (CMA) are responsible for the degradation of the WT α-syn. Meanwhile, E46K mutant α-syn is mainly degraded by the proteasome and macroautophagy pathway. Compared with the WT protein, E46K mutant α-syn turned over more slowly in PC12 cells. In addition, overexpression of E46K mutant α-syn increased vulnerability of PC12 cells to apoptosis insults when compared with WT α-syn. Our findings may verify the possible routes contributing to the degradation of the E46K mutant α-syn.
Calorie information and dieting status modulate reward and control activation during the evaluation of food images

Several public health departments throughout North America have responded to the obesity epidemic by mandating that restaurants publish calories at the point of purchase—with the intention of encouraging healthier food decisions. To help determine whether accompanying calorie information successfully changes a food’s appetitive value, this study investigated the influence of calorie information on brain responses to food images. During functional magnetic resonance imaging (fMRI) scanning, dieting (N = 22) and non-dieting (N = 20) participants viewed pictures of food with and without calorie information and rated their desire to eat the food. When food images were paired with calorie information, not only did self-reported desire to eat the food decrease, but reward system activation (Neurosynth-defined from the term “food”) decreased and control system activation (the fronto-parietal [FP] control system) increased. Additionally, a parametric modulation of reward activation by food preferences was attenuated in the context of calorie information. Finally, whole brain multivariate pattern analysis (MVPA) revealed patterns of activation in a region of the reward system—the orbitofrontal cortex (OFC)—that were more similar for food images presented with and without calorie information in dieting than non-dieting participants, suggesting that dieters may spontaneously consider calorie information when viewing food. Taken together, these results suggest that calorie information may alter brain responses to food cues by simultaneously reducing reward system activation and increasing control system activation. Moreover, individuals with greater experience or stronger motivations to consider calorie information (i.e., dieters) may more naturally do so, as evidenced by a greater degree of representational similarity between food images with and without calorie information. Combining an awareness of calories with the motivation to control them may more effectively elicit diet-related behavior change.
Chitosan-Based Nanoparticles Containing Cherry Extract from Prunus avium L. to Improve the Resistance of Endothelial Cells to Oxidative Stress

Cherries are known for their nutraceutical properties, in particular for their antioxidant ability due to their polyphenol content, which causes a reduction of cardiovascular disease (CVD) risk factors. However, once ingested these molecules are degraded in the Gastrointestinal (GI) tract before reaching the blood, which is the action site. The object of the present work is to evaluate the ability of cherry extract (CE), encapsulated in nanoparticles (NPs) based on different chitosan (Ch) derivatives, to promote a protective effect of human umbilical vein endothelial cells (HUVECs) involved in vascular dysfunction against oxidative stress. CE-loaded NPs based on quaternary ammonium chitosan (NP1) and an S-protected thiolated derivative thereof (NP2) were prepared. The mean particle size (NP1 344.9 ± 17.8, NP2 339.9 ± 68.2 nm), the polydispersity index, the encapsulation efficiency (NP1 78.4 ± 4.5, NP2 79.8 ± 0.6%), and the zeta potential (NP1 14.8 ± 0.3, NP2 15.8 ± 0.5 mV) did not appear to be significantly different. Both NP types improved the CE apparent permeation parameters with respect to the control. Conversely, CE-loaded NP2 protected HUVECs from oxidative stress and reduced reactive oxygen species (ROS) production more than CE-loaded NP1 and free CE. In addition to promoting HUVEC resistance, NP2 could be a useful tool to overcome the problem of cherry seasonality.
Solute Carrier Family 27 Member 4 (SLC27A4) Enhances Cell Growth, Migration, and Invasion in Breast Cancer Cells

Fatty acid metabolism is important in the regulation of breast cancer progression. Some of the proteins involved in fatty acid transport have been demonstrated to promote the proliferation, migration, and invasion in breast cancer cells. Solute carrier family 27 member 4 (SLC27A4) is a fatty acid transporter protein and is related to very long chain acyl-CoA synthetase activity. In the present study, bioinformatic analysis revealed that relatively high SLC27A4 expression was observed in all subtypes of breast tumor tissues when compared to normal breast tissues. Silencing SLC27A4 expression significantly reduced uptake of free fatty acids in two breast cancer cell lines, Hs578T and MDA-MB-231. Cell growth inhibition was observed in SLC27A4-silenced Hs578T and cell cycle was arrested at G2/M. In addition, the capacity of migration and invasion decreased in both cell lines after knockdown of SLC27A4. The epithelial–mesenchymal transition signaling pathway was inhibited because protein expression of Slug, vimentin, α-smooth muscle actin, and other regulators was lower than that in control cells. Taken together, our results confirm that high SLC27A4 is associated with tumor progression in breast cancer cells. It is worth investigating whether SLC27A4 serves a diagnostic marker and therapeutic target in further studies.
Decision making processes and alcohol use among college students

Abstract Objective: The neurobiological model of risk-taking and the dual-process model of decision making each provide possible explanations of risky behavior among youth, but their interconnections have rarely been explored, especially among college students, a time of increased alcohol use. Participants: n = 382; Mage = 19.25, SD = 1.33. Method: Participants completed a survey about their deliberative and intuitive decision making style (based on the dual-process model), their socioemotional and cognitive control processes (based on the neurobiological model), and alcohol use. Results: Structural equation modeling showed that dual-process variables and neurobiological variables were positively related. Deliberative decision making and cognitive control were negatively related to alcohol use whereas intuitive decision making was not. Comment: Discussion focuses on the integration of theoretical models with real-world health behaviors and considers implications of the current findings in terms of prevention and intervention to reduce drinking among college students.
Geographic variation in dengue seroprevalence and force of infection in the urban paediatric population of Indonesia

Understanding the heterogeneous nature of dengue transmission is important for prioritizing and guiding the implementation of prevention strategies. However, passive surveillance data in endemic countries are rarely adequately informative. We analyzed data from a cluster-sample, cross-sectional seroprevalence study in 1–18 year-olds to investigate geographic differences in dengue seroprevalence and force of infection in Indonesia. We used catalytic models to estimate the force of infection in each of the 30 randomly selected sub-districts. Based on these estimates, we determined the proportion of sub-districts expected to reach seroprevalence levels of 50%, 70% and 90% by year of age. We used population averaged generalized estimating equation models to investigate individual- and cluster-level determinants of dengue seropositivity. Dengue force of infection varied substantially across Indonesia, ranging from 4.3% to 30.0% between sub-districts. By age nine, 60% of sub-districts are expected to have a seroprevalence ≥70%, rising to 83% by age 11. Higher odds of seropositivity were associated with higher population density (OR = 1.54 per 10-fold rise in population density, 95% CI: 1.03–2.32) and with City (relative to Regency) administrative status (OR = 1.92, 95% CI: 1.32–2.79). Our findings highlight the substantial variation in dengue endemicity within Indonesia and the importance of understanding spatial heterogeneity in dengue transmission intensity for optimal dengue prevention strategies including future implementation of dengue vaccination programmes.