Miracle-dz/UniFAR-FTUs huggingface dataset:
OTT_A_212702 623..634

Breast Department, Linyi Central Hospital, Linyi, Shandong 276400, People’s Republic of China Background: Forkhead box K1 (FOXK1) is members of the FOX transcription factor family. Previous work has found out that FOXK1 promotes cell proliferation, migration and invasion in several cancers, such as gastric cancer, glioma cancer and lung cancer; however, the exact role of FOXK1 in breast cancer is still poorly known. Methods: Here, the association between FOXK1 expression and the clinicopathological characteristics of patients with breast cancer was identified. To further decipher the functional roles of FOXK1, it was overexpressed or knocked down in MCF-7, MDA-MB-231 and MCF-10A cells. Cell Counting Kit-8, colony formation and cell cycle assays were performed to examine the proliferation of breast cancer cells. Moreover, wound-healing and Transwell invasion analyses were carried out to explore the effect of FOXK1 on breast cancer cell migration and invasion. Results: Our findings discovered that FOXK1 promotes cell proliferation, migration and invasion in breast cancer. In addition, consistent with the previous report, FOXK1 also facilitates EMT in breast cancer. TargetScan was used to predict up-stream of FOXK1, indicating that miR-365-3p could regulate FOXK1 expression in breast cancer. Conclusion: The findings of the present study demonstrated that miR-365-3p-FOXK1 axis plays a key role in breast cancer.
Synthesis of Extracellular Polysaccharide by Suspensions

Plant wall polysaccharides are intimately connected with maintenance of cellular form and control of cell growth (6). Many pathogenic fungi and bacteria attack plants with enzymes that degrade the wall polysaccharides. Yet little is known about the structure and synthesis of the noncellulosic polysaccharides, which constitute as much as 75 % of the cell wall (10). Study of wall polysaccharide has been hindered by the use of heterogeneous wall extracts. For example, pectin is solubilized with boiling water, protopectin with versene or dilute acid, and hemicellulose with alkali. These extraction procedures reduce the degree of polymerization of the polysaccharides and also alter the structure in various ways. It would be advantageous to isolate and characterize plant wall polysaccharides without the necessity of extraction. Sycamore cambial cells grown in suspension possess many desirable attributes for the study of polysaccharide structure and synthesis. Thornber and Northcote have published data on the composition of cambium cells in the intact sycamore (27) and Lamport has studied a wall-specific hydroxyprolinerich protein in sycamore cell suspensions (15). One of the chief assets of this system is its friability; the cells in suspensions can be handled almost like bacterial systems. The sycamore cells grow rapidly in large amounts and can be plated or transferred by pipette. Another advantage is that by continuous transfer one selects for rapidly growing cells so that the population in the logarithmic phase of growth is more uniform than cells of plant tissues. Furthermore the supply of metabolites is readily controlled, and every cell has direct access to the external medium containing these metabolites. When desirable the cells can be grown on a defined medium. Although various wall polysaccharides may turn out to be important in controlling cell growth, we
Computer Science

We report first principles calculations of the electronic and elastic properties of yttriastabilized tetragonal zirconium dioxide doped with metal oxides like: GeO2, TiO2, SiO2, MgO and Al2O3. It is shown that addition of such dopants affects selected elastic properties of ZrO2, which is driven by the attraction of electron density by dopant atom and creation of stronger dopant–oxygen bonds. This effect contributes to the increase of superplasticity of doped material.
Performance evaluation of floating solar chimney power plant in Iran: estimation of technology progression and cost investigation

High direct solar radiation and the vast desert areas in Iran are the main factors to the attraction in using solar technologies such as floating solar chimney power plant (FSCPP) for electrical and thermal productions of energy. This article studies the performance of floating solar chimney technology for manufacturing purpose. In order to find the best area for the FSCPP, 14 different areas across the country are considered. The results revealed that FSCPP can produce 5–200 MW of electrical energy. Then a study was performed according to the return of finance rate, net price value, and finance return period criterions. The results showed that these power plants are able to be built in large scales of 100 and 200 MW of electricity with the annual capacity of 311 and 641 GW, respectively. However, a comparison between the cost analysis of two tested models shows that the 200 MW power plant with the cost of 14,273.64 Rials is more beneficial. ‏
Semi-supervised Amharic Sentiment classiﬁcation

To properly apply supervised machine learning, sufﬁcient labeled corpus is required. In this study, we proposed a semi-supervised approach to Amharic sentiment classiﬁcation. As Amharic is less-resourced language, there is insufﬁcient labeled corpus to apply supervised machine learning. Nowadays, Amharic texts are widely used in social media, which invites for the development of machine-learning based applications. We applied Naive Bayesian with expectation maximization(NB-EM) under insufﬁcient Amharic sentiment labeled datasets with minimal annotation costs in faster development time. With 5 cross-fold validation, we tested NB-EM for Amharic sentiment classiﬁcation and achieved an accuracy of 83% with partially unlabeled corpus. We also investigated the proposed approach with varying training size and showing progressive improvement on performance of Sentiment classiﬁcation. The approach can be adopted to other less-resourced languages to remedy the shortage of labeled corpus.
Degradation of Monochrotophos Insecticide using Bacillus subtilis Isolated from Gut of Perionyx sps

The earthworms are considered as soil engineers, which plays a major role in agriculture. The prolonged application of insecticides in soil alters the fertility of the soil and the population of earthworms. In spite the toxicity of insecticides, the earthworms survive by developing resistance, which might be the results of adaptation of bacterial community in the gut of earthworms. The present work relays on isolation of bacterial strains from earthworm gut and degradation of Monocrotophos insecticide at various concentrations. The bacterial strains were isolated from the gut of the Perionyx species and were found to degrade 90% and 75% of 50 ppm and 200 ppm of Monocrotophos. The optimum pH of 9.0 resulted in 95% of degradation and 90% of degradation was observed at 10 o C. The metabolites produced on Monocrotophos degradation were analysed using FTIR, HPLC and GC-MS. The molecular characterization of the efficient insecticide-degrading bacterial strains was found to be Bacillus subtilis and Bacillus nakamurai. This study showed that the bacterial strains in the gut of earthworm were able to degrade a wide concentration of Monocrotophos insecticide.
Delft University of Technology Quality Assessment of an Integrated Care Pathway Using Telemonitoring in Patients with Chronic Heart Failure and Chronic Obstructive Pulmonary Disease Protocol for a Quasi-Experimental Study

Background: Chronic heart failure (CHF) and chronic obstructive pulmonary disease (COPD) often coexist and are associated with a high morbidity and reduced quality of life (QoL). Although these diseases share similarities in symptoms and clinical course, and exacerbations of both diseases often overlap, care pathways for both conditions are usually not integrated. This results in frequent outpatient consultations and suboptimal treatment during exacerbations, leading to frequent hospital admissions. Therefore, we propose an integrated care pathway for both diseases, using telemonitoring to detect deterioration at an early stage and a single case manager for both diseases. Objective: This study aims to investigate whether an integrated care pathway using telemonitoring in patients with combined CHF and COPD results in a higher general health-related QoL (HRQoL) as compared with the traditional care pathways. Secondary end points include disease-specific HRQoL, level of self-management, patient satisfaction, compliance to the program, and cost-effectiveness. Methods: This is a monocenter, prospective study using a quasi-experimental interrupted time series design. Thirty patients with combined CHF and COPD are included. The study period of 2.5 years per patient is divided into a preintervention phase (6 months) and a postintervention phase (2 years) in which end points are assessed. The intervention consists of an on-demand treatment strategy based on monitoring symptoms related to CHF/COPD and vital parameters (weight, blood pressure, heart rate, oxygen saturation, temperature), which are uploaded on a digital platform. The monitoring frequency and the limit values of the measurements to detect abnormalities are determined individually. Monitoring is performed by a case manager, who has the opportunity for a daily multidisciplinary meeting with both the cardiologist and the pulmonologist. Routine appointments at the outpatient clinic are cancelled and replaced by telemonitoring-guided treatment. Results: Following ethical approval of the study protocol, the first patient was included in May 2018. Inclusion is expected to be complete in May 2021. Conclusions: This study is the first to evaluate the effects of a novel integrated care pathway using telemonitoring for patients with combined CHF and COPD. Unique to this study is the concept of remote on-demand disease management by a single case JMIR Res Protoc 2020 | vol. 9 | iss. 11 | e20571 | p. 1 https://www.researchprotocols. org/2020/11/e20571 (page number not for citation purposes) Herkert et al JMIR RESEARCH PROTOCOLS
We employed two independent approaches to inactivate the angiogenic protein VEGF in newborn mice: inducible, Cre- loxP- mediated gene targeting, or administration of mFlt(1- 3)-IgG, a soluble VEGF receptor chimeric protein. Partial inhibition of VEGF achieved by inducible gene targeting

The cardiovascular system is the first organ system to develop and reach a functional state in an embryo (Hamilton et al., 1962). The initial steps consist of ‘vasculogenesis’, the differentiation of endothelial cell precursors, the angioblasts, from the mesenchyme (Risau, 1995). The juvenile vascular system evolves from the primary capillary plexus by subsequent pruning and reorganization of endothelial cells in a process called ‘angiogenesis’. This complex remodeling process involves the recruitment of mural cells and starts in almost all organ systems during late embryonic development (Nehls and Drenckhahn, 1993; Patan et al., 1997). Although vascularization occurs concomitantly to organ growth, surprisingly little is known about the role of endothelial cells and angiogenesis in regulating normal growth and organ homeostasis during postnatal development. Several positive regulators of angiogenesis have been identified, including aFGF, bFGF, TGFα, TGF-β, HGF, TNFα, VEGF, angiogenin, IL-8 and the angiopoietins (for a review, see Carmeliet and Collen, 1998). Also, the αvβ3 integrin pathway has been shown to play a role in angiogenesis (Brooks et al., 1994). The negative regulators include thrombospondin (Good et al., 1990), the 16 kDa fragment of prolactin (Clapp et al., 1993), SPARC (Sage et al., 1995), angiostatin (O’Reilly et al., 1994) and endostatin (O’Reilly et al., 1997). The interplay between positive and negative regulators of angiogenesis is thought to give rise to the complex patterns of vascularization observed in different tissues and organs (Risau, 1997). The endothelial cell-specific mitogen VEGF is a key mediator of normal and abnormal angiogenesis (Ferrara and Davis-Smyth, 1997). VEGF exerts its biological effects by binding to its respective tyrosine kinase receptors VEGFR1 (Flt-1) and VEGFR2 (Flk-1/KDR), both of which are expressed on endothelial cells. Mouse embryos null for either receptor die in utero between days 8.5 and 9.5 (Fong et al., 1995; Shalaby et al., 1995). Strong experimental evidence links Flk-1/KDR activation to VEGF-induced mitogenesis and angiogenesis (Ferrara and Davis-Smyth, 1997). In contrast, the function of Flt-1 is less clear and recent studies have unexpectedly shown that this receptor may perform its role in angiogenesis primarily as a ligand binding molecule, rather than as a signaling tyrosine kinase (Hiratsuka et al., 1998). VEGF is essential for embryonic development and loss of even a single VEGF allele results in embryonic lethality (Carmeliet et al., 1996; Ferrara et al., 1996). Several lines of evidence suggest that VEGF is not only a mitogen but also a survival factor for newly formed blood vessels. However, this pro-survival role in vivo has only been 1149 Development 126, 1149-1159 (1999) Printed in Great Britain © The Company of Biologists Limited 1999 DEV4078
An Enhanced Implementation of Image Fusion for Multifocus Images Using Nihs Transform and DC

: Image fusion is a process of mixing the complementary as well as the common features of a set of images, to generate a resultant image with high quality information content in terms of subjective as well as objective analysis point of view. The objective of the research work is to develop some novel image fusion algorithm and their application in various fields such as medical image fusion and edge detection of multi-focus images etc. The process of fusing two or more images to obtain another individual image will contain exact kind of sequence. Then propose the fusion technique with the combination of Improved IHS and DCT. Using IHS (intensity, hue, saturation) color space and related color transformation can solve the problem of color clipping. The spatial frequencies are applied to each individual block and the blocks with the immense spatial frequencies compose the DCT presentation of the output image. The performance analysis of this method is analyzed by the parameters like RMSE, CC, Entropymethod improves the output image quality visually and outperforms the previous DCT based techniques.
THE EMOTIONAL QUALITY OF MUSICAL SOUND INTERFACE TO UNDERSTAND CONTEXTS. WITH THE CASE OF USING A SMARTPHONE

Musical sound interfaces that were diverse in their tonality and pitch were employed to investigate the influence of emotions on contextual interpretation; two empirical studies using a smartphone platform were conducted. The measured appropriateness of the interfaces for several purposes determined the influence of emotions on the perception of context, revealing a significant relation between the interfaces’ emotional qualities, which were rated in terms of pleasure and arousal, and the perceived context represented by appropriateness. In addition, the contextual attributes of the interfaces measured by verbal estimation were shown to be correlated with the sounds’ pleasure and arousal. Throughout the studies the effect of emotional qualities on the musical interfaces’ contextual attributes were verified, and the implementation of findings required further explorations.
ENHANCEMENT OF RESISTANCE TO ANTIBIOTICS IN NEISSERIA GONORRHEOAE

Objectives: The aim of this research work is to find out the causes of the enhancing pattern of the hindrance to the frequently utilized antibiotics by the NG (Neisseria Gonorrhoeae) diagnosed instantaneously in the smears of gramstained smears & cultures of the secretions of urethra. Methodology: This was a retroactive research work in which the detection of the NG from the obtained urethral or prostatic discharges/secretions & their anti-bio gram carried out. Total 133 patients from male gender suspected of having NG visiting the outpatient department of the Skin and V.D. in the Gangaram Hospital Lahore from February 2018 to December 2018 were the part of this research work. The collection of the secretion of urethral or prostatic carried out from the suspected patients of NG. The smears of gram-stained for the identification of the gram negative diplococci with the utilization of microscope and chocolate agar media carried for all the collected samples from the suspected patients. The testing of anti-microbial susceptibility with the utilization of the standard method of disc diffusion conducted utilizing antibiotics which were frequently available in the treatment against gonorrhea. Results: An important amount of the patients was available as positive for NG in both type of secretions of urethral & prostatic. The basic tools for the identification of the NG both examination with the help of microscope and culture were comparable equally with one another. The isolates of the bacteria displayed around 11.6% resistant patients against drugs of Ciprofloxacin & Gentamycin whereas Penicillin & Amoxicillin were available as the low effectual medicines. There was an equivocal sensitivity for the drugs of Cephalexin, Doxycycline and Tetracycline. Conclusion: This research work emphasize the microscopic examination of the gram stained smears as best tools for the fast identification of NG. It also discovers the fact of highly enhance pattern of resistance to antibiotic by the NG to the very common drugs available in the prescription.
00.01: Future challenges and developments in the design of steel structures – an Australian perspective

The paper provides an overview of recent advances towards developing the Direct Design Method (DDM) and its implementation in design standards. The DDM allows design by advanced structural analysis (GMNIA) requiring no recourse to a design standard for checking member or cross‐sectional strength. As the capability of structural analysis programs increasingly incorporate both geometric and material nonlinear effects, and as standard desktop computers have become sufficiently powerful to run GMNIA analysis, the DDM is poised to become the future method of design. The paper outlines the system reliability framework that underpins the DDM and the calibration of the Method for 2D and 3D hot‐rolled structural frames as well cold‐formed structural frames featuring cross‐sectional instability. The system reliability implications of the DDM and load and resistance factor design (LRFD) are discussed. The paper also discusses the philosophy of teaching steel structural design and argues this is most rationally and efficiently undertaken using the DDM. Lastly, the paper comments on ongoing and future developments on the DDM including the implementation of the method in design practice.
In silico biology of bone modelling and remodelling: regeneration

Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms involved still remain to be elucidated. Over the last decade, many mathematical models have been established to investigate the regeneration process in silico. The first models considered only the influence of the mechanical environment as a regulator of the healing process. These models were followed by the development of bioregulatory models where mechanics was neglected and regeneration was regulated only by biological stimuli such as growth factors. The most recent mathematical models couple the influences of both biological and mechanical stimuli. Examples are given to illustrate the added value of mathematical regeneration research, specifically in the in silico design of treatment strategies for non-unions. Drawbacks of the current continuum-type models, together with possible solutions in extending the models towards other time and length scales are discussed. Finally, the demands for dedicated and more quantitative experimental research are presented.
Applications of topological cyclic homology to algebraic K-theory

Algebraic K-theory has applications in a broad range of mathematical subjects, from number theory to functional analysis. It is also fiendishly hard to calculate. Presently there are two main inroads: motivic and cyclic homology. I've been asked to present an overview of the applications of topological cyclic homology to algebraic K-theory"from a historical perspective". The timeline spans from the very early days of algebraic K-theory to the present, starting with ideas in the seventies around the"tangent space"of algebraic K-theory all the way to the current state of affair where we see a resurgence in structural theorems, calculations and a realization that variants of cyclic homology have important things to say beyond the moorings to K-theory. Comments, especially with respect to historical accuracy or missing recent contributions, are very welcome
Closed-Form Diffeomorphic Transformations for Time Series Alignment

Time series alignment methods call for highly expressive, differentiable and invertible warping functions which preserve temporal topology, i.e diffeomorphisms. Diffeomorphic warping functions can be generated from the integration of velocity fields governed by an ordinary differential equation (ODE). Gradient-based optimization frameworks containing diffeomorphic transformations require to calculate derivatives to the differential equation's solution with respect to the model parameters, i.e. sensitivity analysis. Unfortunately, deep learning frameworks typically lack automatic-differentiation-compatible sensitivity analysis methods; and implicit functions, such as the solution of ODE, require particular care. Current solutions appeal to adjoint sensitivity methods, ad-hoc numerical solvers or ResNet's Eulerian discretization. In this work, we present a closed-form expression for the ODE solution and its gradient under continuous piecewise-affine (CPA) velocity functions. We present a highly optimized implementation of the results on CPU and GPU. Furthermore, we conduct extensive experiments on several datasets to validate the generalization ability of our model to unseen data for time-series joint alignment. Results show significant improvements both in terms of efficiency and accuracy.
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks

The large computing and memory cost of deep neural networks (DNNs) often precludes their use in resource-constrained devices. Quantizing the parameters and operations to lower bit-precision offers substantial memory and energy savings for neural network inference, facilitating the use of DNNs on edge computing platforms. Recent efforts at quantizing DNNs have employed a range of techniques encompassing progressive quantization, step-size adaptation, and gradient scaling. This paper proposes a new quantization approach for mixed precision convolutional neural networks (CNNs) targeting edge-computing. Our method establishes a new pareto frontier in model accuracy and memory footprint demonstrating a range of quantized models, delivering best-in-class accuracy below 4.3 MB of weights (wgts.) and activations (acts.). Our main contributions are: (i) hardware-aware heterogeneous differentiable quantization with tensor-sliced learned precision, (ii) targeted gradient modification for wgts. and acts. to mitigate quantization errors, and (iii) a multi-phase learning schedule to address instability in learning arising from updates to the learned quantizer and model parameters. We demonstrate the effectiveness of our techniques on the ImageNet dataset across a range of models including EfficientNet-Lite0 (e.g., 4.14MB of wgts. and acts. at 67.66% accuracy) and MobileNetV2 (e.g., 3.51MB wgts. and acts. at 65.39% accuracy).