Miracle-dz/UniFAR-FTUs huggingface dataset:
TRIM 66 knockdown inhibits cell growth , but induces cell cycle arrest and apoptosis of hepatocellular carcinoma cells

TRIM66, a member of tripartite motif (TRIM)-containing proteins, has been reported as an oncogene in osteosarcoma and lung cancer. However, the expression and biological function of TRIM66 in hepatocellular carcinoma (HCC) is still unclear. In this study, we found that mRNA and protein levels of TRIM66 were elevated in HCC tissues compared with normal tissues. Knockdown of TRIM66 inhibited the proliferation of HCC cells in vitro and the growth of xenograft tumors in vivo. Inhibition of TRIM66 in HCC cells significantly induced cell arrested in G0/ G1 phase and cell apoptosis. Moreover, we tried to investigate the underlying mechanism. We found that TRIM66 knockdown affected the protein levels of cell cycle-related proteins (Cyclin D1 and p27) and cell apoptosis-related proteins (Bcl-2, Bax, Cleaved Caspase3). Furthermore, TRIM66 knockdown led to a significant decrease in the AKT phosphorylation. Our data indicates that TRIM66 could be a potential diagnosis marker for HCC and work as anoncogene by targeting AKT signaling.
Utility of Flow Cytometry to Classify Abnormal Plasma Cell Populations in Marrow Samples Collected from Patients with Putative Plasma Cell Neoplasms

Plasma cell neoplasms comprise a spectrum of diseases that include monoclonal gammopathy of undetermined signi-ficance (MGUS) and multiple myeloma (MM). Flow cytometric immunophenotyping has become an invaluable tool as an ancillary and diagnostic test for hematologic malignancies and is being used with increasing frequency in the diag-nosis and monitoring of plasma cell neoplasms. As multiparameter flow cytometry has evolved, faster fluidics and detection systems facilitate the screening of a large number of events and the detection of multiple antigens simultaneously. This review addresses the approaches used to evaluate clonal plasma cell neoplasms and describes different surface and cytoplasmic markers and techniques that are important for the study of these diseases.
High Performance Visual Tracking with Siamese Region Proposal Network

Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks. However, most of these trackers can hardly get top performance with real-time speed. In this paper, we propose the Siamese region proposal network (Siamese-RPN) which is end-to-end trained off-line with large-scale image pairs. Specifically, it consists of Siamese subnetwork for feature extraction and region proposal subnetwork including the classification branch and regression branch. In the inference phase, the proposed framework is formulated as a local one-shot detection task. We can pre-compute the template branch of the Siamese subnetwork and formulate the correlation layers as trivial convolution layers to perform online tracking. Benefit from the proposal refinement, traditional multi-scale test and online fine-tuning can be discarded. The Siamese-RPN runs at 160 FPS while achieving leading performance in VOT2015, VOT2016 and VOT2017 real-time challenges.
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory

Recent advances in deep learning (DL) have stimulated increasing interests in neural networks (NN). From the perspective of operation type and network architecture, deep neural networks can be categorized into full convolution-based neural network (ConvNet), recurrent neural network (RNN), and fully-connected neural network (FCNet). Different types of neural networks are usually cascaded and combined as a hybrid neural network (Hybrid-NN) to complete real-life cognitive tasks. Such hybrid-NN implementation is memory-intensive with large number of memory accesses, hence the performance of hybrid-NN is often limited by the insufficient memory bandwidth. A “3D + 2.5D” integration system, which integrates a high-bandwidth 3D stacked DRAM side-by-side with a highly-parallel neural processing unit (NPU) on a silicon interposer, overcomes the bandwidth bottleneck in hybrid-NN acceleration. However, intensive concurrent 3D DRAM accesses produced by the NPU lead to a serious thermal problem in 3D DRAM. In this paper, we propose a neural processor called <italic>Parana</italic> for hybrid-NN acceleration in consideration of thermal problem of 3D DRAM. Parana solves the thermal problem of 3D memory by optimizing both the total number of memory accesses and memory accessing behaviors. For memory accessing behaviors, Parana balances the memory bandwidth by spatial division mapping hybrid-NN onto computing resources, which efficiently avoids that masses of memory accesses are issued in a short time period. To reduce the total number of memory accesses, we design a new NPU architecture and propose a memory-oriented tiling and scheduling mechanism to exploit the maximum utilization of on-chip buffer. Experimental results show that Parana reduces the peak temperature by up to 54.72 <inline-formula> <tex-math notation="LaTeX">$^\circ$</tex-math><alternatives><inline-graphic xlink:href="yin-ieq1-2858230.gif"/> </alternatives></inline-formula>C and the steady temperature by up to 32.27 <inline-formula><tex-math notation="LaTeX"> $^\circ$</tex-math><alternatives><inline-graphic xlink:href="yin-ieq2-2858230.gif"/></alternatives></inline-formula>C over state-of-the-art accelerators with 3D memory without performance degradation.
Estimation of Uncertainties for a Supersonic Retro- Propulsion Model Validation Experiment in a Wind Tunnel

A high-quality model validation experiment was performed in the NASA Langley Research Center Unitary Plan Wind Tunnel to assess the predictive accuracy of computational fluid dynamics (CFD) models for a blunt-body supersonic retro-propulsion configuration at Mach numbers from 2.4 to 4.6. Static and fluctuating surface pressure data were acquired on a 5-inch-diameter test article with a forebody composed of a sphericallyblunted, 70-degree half-angle cone and a cylindrical aft body. One non-powered configuration with a smooth outer mold line was tested as well as three different powered, forward-firing nozzle configurations: a centerline nozzle, three nozzles equally spaced around the forebody, and a combination with all four nozzles. A key objective of the experiment was the determination of experimental uncertainties from a range of sources such as random measurement error, flowfield non-uniformity, and model/instrumentation asymmetries. This paper discusses the design of the experiment towards capturing these uncertainties for the baseline non-powered configuration, the methodology utilized in quantifying the various sources of uncertainty, and examples of the uncertainties applied to non-powered and powered experimental results. The analysis showed that flowfield nonuniformity was the dominant contributor to the overall uncertainty – a finding in agreement with other experiments that have quantified various sources of uncertainty.
Melatonin Supplementation Decreases Aerobic Exercise Training Induced-Lipid Peroxidation and Malondialdehyde in Sedentary Young Women

Abstract Five percent of consumed oxygen produces a number of reactive oxygen species (ROS) including free radicals and other chemical products such as malondialdehyde (MDA). MDA increases lipid peroxidation such as low density lipoproteins cholesterol (LDL-c). Melatonin can decrease MDA and lipid peroxidation, but there are limited data about melatonin supplementation on MDA and lipid peroxidation of women. So the aim of this study was to evaluate the effects of melatonin supplementation on exercise-induced MDA and lipid peroxidation of sedentary young women. Twenty sedentary young (20–25 years old) women were selected and randomly divided into two exercise training-supplement (n=10) and exercise training (n=10) groups. Pretest/posttest body mass, BMI, rest heart rate (RHR), body fat percent, menstrual cycle, blood sampling for MDA and lipid profile were collected. Aerobic exercise training was performed for 8 weeks, triple weekly. Melatonin supplementation was ingested at 3 mg/day for exercise training-supplement. Results showed that the long term exercise training increased MDA concentrations, and melatonin supplementation significantly suppressed MDA surge (−25.2±2.87; 95% CI=−30.91 to −19.49). Moreover, post-exercise training LDL-c levels significantly declined due to melatonin supplementation in sedentary young women (19.5±2.41; 95% CI=12.272 to 25.728). We concluded that 3 mg melatonin supplementation following aerobic exercise training would attenuate ROS and improve lipid profile of young sedentary women.
Landscape disturbance and sporadic hybridization complicate field identification of chipmunks

Chipmunks (Tamias spp.) in western North America are important for their numerical abundance, their role in pathogen transmission, and the composition and structure of food webs. As such, land management agencies (e.g., U.S. Forest Service) often conduct field surveys to monitor the diversity and abundance of chipmunk species as a measure of forest health. These small mammal communities often include several morphologically similar chipmunk species, some of which occasionally hybridize, which can make field identification of species difficult. However, species-specific differences in both spatial distribution and habitat use make it imperative that biotic inventories correctly identify chipmunk species. We compared molecular-based and field-based, external phenotypic identifications of 4 chipmunk species in the Lake Tahoe Basin of the Sierra Nevada in California and Nevada, USA. Across all years and sites, we found an error rate of 14% for field-based identifications with significantly lower rates of misidentification in relatively undisturbed wildlands in comparison to recently burned wildlands or urbanized sites. We also found evidence for sporadic hybridization between focal species, including cases of mito-nuclear mismatch. Our study highlights the utility of molecular tools in corroborating field identifications of chipmunks in changing landscapes. © 2016 The Wildlife Society.
Immunohistochemical Expression of Cytokeratin 5/6 in Gynaecological Tumors.

Gynecological malignancies are very common as they represent second most common cause of fatal cancer in women comprising 42.5% of all malignancies in women. Histopathological examination is helpful to a larger extent in diagnosis of all gynecological malignancies but has limitations in cases of undifferentiated malignancies and tumors showing heterogeneous composition. In such cases immunohistochemistry is strongly recommended. Various tumour markers applied for specific diagnosis are cytokeratin, vimention, carcinoembryonic antigen (CEA), Epithelial membrane antigen (EMA). Cytokeratin 5/6 being present in cervical epithelium show strong positivity for squamous cell carcinoma and hence preferred. Focal positivity of cytokeratin 5/6 is also seen in ovarian and endometrial adenocarcinoma in areas of squamous differentiation. In the present study expression of cytokeratin 5/6 positivity was evaluated in cervical, ovarian and endometrial carcinoma using primary antibody cytokeratin 5/6; clone D 5/16 B4 (M7237) (DAKO) in formalin fixed and paraffin embedded tissue sections. Results were be correlated with histological types and different grades.
Comparing Student Perceptions of Textbooks: Does Liking Influence Learning?

Faculty perceptions of textbook quality, anecdotal posts to listservs, and published ratings frequently determine textbook choice. Although faculty members intend to have students use the textbooks, few published empirical studies assess student opinions. In two studies, students rated widely adopted introductory psychology textbooks on eight categories ranging from visual aids to writing quality. Results showed little inter-textbook differences; however, students indicated clear preferences. We found different patterns in preferences for visual material (e.g., photographs) versus written material (e.g., examples), but no differences in the ratings of tables and in the use of research examples. Students clearly differentiate between textbooks, but textbook ratings did not relate to quiz scores on text material.
BROWNFIELD DILEMMAS IN THE TRANSFORMATION OF POST-COMMUNIST CITIES: A CASE STUDY OF OSTRAVA, CZECH REPUBLIC

The main purpose of the paper is to analyse the procedures of urban brownfield solutions, with a focus on the environmental and cultural-historical aspects. The paper explores the dilemmas of brownfield regeneration and redevelopment. These processes are placed in the wider perspective of multi transformation processes of post-communist cities. We compared two former industrial zones Karolina and the Lower Area of Vítkovice in the city of Ostrava where we illustrated the key factors influencing their transformation. These case studies point to a unique example of urban industrial brownfields concentrated within the area around the city centre, surrounded by residential zones. These brownfields also reveal the scope of the problem, as they are connected not only with the urban structure, but also with environmental, economic, social and cultural aspects. To research the issue in depth, we mostly used a qualitative approach to examine perceptions and to frame the brownfield issue. We partly applied frame analysis, a narrative approach and we also used research techniques such as document content analysis, and in-depth interviews with relevant stakeholders who are involved in the remediation of brownfields and their subsequent re-use (N=15). We researched how stakeholders perceive and frame the problem and which solutions they prefer. Moreover, having made a comparison of the state of affairs between 2001 and 2012, we presented a deeper insight into the topic. We found quite a wide range of opinions toward the brownfields issue and its solutions. The main issues were related to people striving to find the identity of the city and the tension between the old and the new: looking for the direction of future development and the face of the city of Ostrava. We identified location, level of environmental degradation and social-economic conditions as the main factors that influence the brownfield issue.
Perceived Self-Efficacy in Cognitive Development and Functioning

In this article, I review the diverse ways in which perceived self-efficacy contributes to cognitive development and functioning. Perceived self-efficacy exerts its influence through four major processes. They include cognitive, motivational, affective, and selection processes. There are three different levels at which perceived self-efficacy operates as an important contributor to academic development. Students' beliefs in their efficacy to regulate their own learning and to master academic activities determine their aspirations, level of motivation, and academic accomplishments. Teachers' beliefs in their personal efficacy to motivate and promote learning affect the types of learning environments they create and the level of academic progress their students achieve. Faculties' beliefs in their collective instructional efficacy contribute significantly to their schools' level of academic achievement. Student body characteristics influence school-level achievement more strongly by altering faculties' beli.
Computational models for infering biochemical networks

Biochemical networks are of great practical importance. The interaction of biological compounds in cells has been enforced to a proper understanding by the numerous bioinformatics projects which contributed with a vast amount of biological information. The construction of biochemical systems (systems of chemical reactions) which include both topology and kinetic rates of the chemical reactions is NP-hard and is a wellstudied systems biology problem. In this paper we propose a hybrid architecture which combines genetic programming and simulated annealing in order to generate and optimize both the topology (the network) and the reaction rates of a biochemical system. Simulations and analysis of an artificial model and three real models (two models and the noisy version of one of them show promising results for the proposed method. Keywords—systems biology, biochemical systems, genetic programming, simulated annealing, optimization, Petri nets
Effect of open-plan office noise on occupant comfort and performance

SUMMARY This study investigated effects on comfort, symptoms, and office work performance of exposure to office noise. Forty-nine subjects who were employees working in open-plan offices participated in two full-day experiments simulating an ordinary work day; one day with and one day without exposure to pre-recorded office noise. Exposure to office noise affected negatively ratings of adverse perceptions, selected symptoms, and self-assessed performance, but not the performance of the simulated office tasks. Occupants who in their daily work were disturbed by open-plan office noise were less tolerant to the noise exposure than those who were not.
Analysis of Dust Aerosol by Using Dual-Wavelength Lidar

Simulation of dust aerosol optical property is rather difficult, due to its extremely irregular shape, which often brings about difficulties in transforming its physical properties (such as size distribution) into optical properties (such as scattering phase function) in remote sensing retrieval and atmospheric radiation model. Some recent researches reveal that homogeneous spheroids seem to be an applicable optical model when dust particles are not much bigger than the wavelength, spheroids with reasonable shape distribution can simulate the scattering phase function of dust particles quite well. Based on the existed dual-wavelength lidar inversion algorithms, a modified method is proposed in the paper. Assuming the size distributions of dust aerosol can be modeled by bimodal lognormal distributions dominated by particles ranged in coarse mode, the size distributions and lidar ratios of dust aerosol at two wavelengths can be derived from dual-wavelength lidar measurement. By applying this algorithm to the data of dual-wavelength lidar at Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL), preliminary results show that for the case of pure dust the retrieved size distribution agree with that observed by Aerodynamic Particle Sizer Spectrometer, and the derived mean lidar ratios are 45.7 ± 5.3 sr at 532 nm and 33.9 ± 1.5 sr at 1064 nm.
Autonomous Operation of a Hybrid AC/DC Microgrid With Multiple Interlinking Converters

Applying conventional dc-voltage-based droop approaches for hybrid ac/dc microgrids interconnected by a single interlinking converter (IC) can properly manage the power flow among ac and dc subgrids. However, due to the effect of line resistances, these approaches may create a circulating power as well as overstressing the ICs in the case of employing multiple ICs for interconnecting the ac and dc subgrids. This paper proposes an autonomous power sharing approach for hybrid microgrids interconnected through multiple ICs by introducing a superimposed frequency in the dc subgrid. Hence, a suitable droop approach is presented to manage the power among the dc and ac sources as well as ICs. The outcomes are proportional power sharing, preventing circulating power and overstressing the ICs as well as acceptable dc voltage regulation. Furthermore, the maximum transferred power by the ICs can be improved by employing the proposed approach. The effectiveness of the proposed approach is evaluated by simulation.
Growing up in Scotland : family and school influences on children’s social and emotional well-being

■ ■ Family stressors such as poor maternal health, family mental health/ substance use problems and low maternal warmth were associated with child mental health problems but not child subjective well-being. Experiencing a recent death, illness or accident in the family, and less positive parenting (positive reinforcement of good behaviour and involvement in the child’s activities) were associated with children’s subjective well-being, irrespective of levels of behavioural and emotional difficulties. Growing Up in Scotland: Family and school influences on children’s social and emotional well-being
Tipping versus Cooperating to Supply a Public Good

In some important multi-player situations, such as efforts to supply a global public good, players can choose the game they want to play. In this paper we conduct an experimental test of the decision to choose between a “tipping” game, in which every player wants to contribute to the public good provided enough other players contribute, and a prisoners’ dilemma, the classic cooperation game. In the prisoners’ dilemma, the first best outcome is attainable, but cannot be sustained as a Nash equilibrium. In the tipping game, only a second best outcome may be attainable, but there exists a Nash equilibrium that is strictly preferred to the one in the prisoners’ dilemma. We show that groups do significantly better when they choose the tipping game, and yet many groups repeatedly choose the prisoners’ dilemma, indicating a mistaken and persistent tendency to prefer a game with potentially higher payoffs to one having a strategic advantage.
The Evolving Beta-Liquidity Relationship of Hedge Funds

Using an optimal changepoint approach, we find a structural change in the relation between hedge funds’ stock market exposure and aggregate stock market liquidity that takes place in the period 2000 to 2002. Before the structural break, market betas have no relation to liquidity and only a few style categories of hedge funds show increased market presence when liquidity is low. After the break, the relationship is inverted, pointing towards an increased liquidity timing ability of hedge funds, as users of liquidity. We relate our findings to best execution rules and decimalization in the US stock market that were introduced in that period and impacted aggregate liquidity conditions. Furthermore, the returns to a momentum strategy display a similar structural break and momentum-loading funds constitute a sizeable proportion of hedge funds that manifest a distinct beta-liquidity evolution with a structural break in that period.
Shear-induced dispersion in a dilute suspension of rough spheres

In the absence of Brownian motion, inertia and inter-particle forces, two smooth spheres collide in a simple shear flow in a reversible way returning to their initial streamlines. Because the minimum separation during the collision can be less than 10−4 of the radius, quite a small surface roughness can have a significant irreversible effect on the collision. We calculate the change between the initial and final streamlines caused by roughness. Repeated random collisions in a dilute suspension lead to a diffusion of the particles across the streamlines. We calculate the shear-induced diffusivity for both self-diffusion and down-gradient diffusion.
Pair density waves in superconducting vortex halos

We analyze the interplay between a d-wave uniform superconducting and a pair-density-wave (PDW) order parameter in the neighborhood of a vortex. We develop a phenomenological nonlinear sigma-model, solve the saddle point equation for the order parameter configuration, and compute the resulting local density of states in the vortex halo. The intertwining of the two superconducting orders leads to a charge density modulation with the same periodicity as the PDW, which is twice the period of the charge-density-wave that arises as a second-harmonic of the PDW itself. We discuss key features of the charge density modulation that can be directly compared with recent results from scanning tunneling microscopy and speculate on the role PDW order may play in the global phase diagram of the hole-doped cuprates.