Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation-based uplink power control for TD-LTE in TV White Space

In order to utilize TV White Space (TVWS) by deploying the cognitive radio technology and eliminate interference to digital television (DTV) system, some researches set extra isolation which may reduce spectrum efficiency. In this study, power control is used. However, the existing TD-LTE power control algorithms are not proper for the coexistence of TD-L TE and DTV systems because the interference is not considered. A novel power control algorithm, Isolation-based Power Control Algorithm (IPCA), is proposed. Different from conventional Open-Loop Power Control (OLPC), IPCA sets target signal-to-interference-and-noise (SINR) for each user based on its isolation from DTV receiver because isolation between these two systems plays an important role in interference. Then the optimization problem of the parameter in IPCA is solved by Lagrangian multiplier method. The simulation result shows that IPCA can not only reduce the interference from TD-LTE to DTV, but also improve spectrum efficiency.
LungkineLacking Expression of the CXC Chemokine Impaired Pulmonary Host Defense in Mice

Lungkine (CXCL15) is a novel CXC chemokine that is highly expressed in the adult mouse lung. To determine the biologic function of Lungkine, we generated Lungkine null mice by targeted gene disruption. These mice did not differ from wild-type mice in their hematocrits or in the relative number of cells in leukocyte populations of peripheral blood or other tissues, including lung and bone marrow. However, Lungkine null mice were more susceptible to Klebsiella pneumonia infection, with a decreased survival and increased lung bacterial burden compared with infected wild-type mice. Histologic analysis of the lung and assessment of leukocytes in the bronchioalveolar lavage revealed that neutrophil numbers were normal in the lung parenchyma, but reduced in the airspace. The production of other neutrophil chemoattractants in the Lungkine null mice did not differ from that in wild-type mice, and neutrophil migration into other tissues was normal. Taken together, these ﬁndings demonstrate that Lungkine is an important mediator of neutrophil migration from the lung parenchyma into the airspace. The Journal of Immunology, 2001, 166: 3362–3368. M from This method consistently detected murine cy- tokine ELISA with IL-1, or addition, ELISA did not cross-react with other family, JE, or
Detection by Denaturing Gradient Gel Electrophoresis of pncA Mutations Associated with Pyrazinamide Resistance in Mycobacterium tuberculosis Isolates from the United States-Mexico Border Region

ABSTRACT Denaturing gradient gel electrophoresis (DGGE) was used to probe for mutations associated with pyrazinamide (PZA) resistance in the pncA gene of Mycobacterium tuberculosis. DGGE scans for mutations across large regions of DNA and rivals sequencing in its ability to detect DNA alterations. Specific mutations can often be recognized by their characteristic denaturation pattern, which serves as a molecular fingerprint. Five PCR target fragments were designed to scan for DNA alterations across 600 bp of pncA in 181 M. tuberculosis isolates from patients residing in the U.S-Mexico border states of Texas and Tamaulipas, respectively. A region of pncA was observed with a high GC content and a melting temperature approaching 90°C that was initially refractory to denaturation, and a DGGE target fragment was specifically designed to detect mutations in this region. DGGE detected pncA mutations in 82 of 83 PZA-resistant isolates. By contrast, only 1 of 98 PZA-susceptible isolates harbored a detectable DNA alteration. The pncA gene was sequenced from 41 isolates, and 32 DNA alterations in 32 PZA-resistant isolates were identified, including 11 new mutations. DGGE also detected nine isolates whose susceptibility to PZA appeared to be incorrect, and DNA sequencing confirmed these apparent errors in drug susceptibility testing. These results demonstrate the power and usefulness of DGGE in detecting mutations associated with PZA resistance in M. tuberculosis.
Induction of senescence in cancer cells by the G‐quadruplex stabilizer, BMVC4, is independent of its telomerase inhibitory activity

BACKGROUND AND PURPOSE Telomerase is the enzyme responsible for extending G‐strand telomeric DNA and represents a promising target for treatment of neoplasia. Inhibition of telomerase can be achieved by stabilization of G‐quadruplex DNA structures. Here, we characterize the cellular effects of a novel G‐quadruplex stabilizing compound, 3,6‐bis(4‐methyl‐2‐vinylpyrazinium iodine) carbazole (BMVC4).
Double-polarization frequency selective rasorber based on cross-frame and circle ring slot arrays

A novel double-polarization frequency selective rasorber is presented. Based on the equivalent circuit model, two absorption bands are created at both sides of a transmission window. Cross-frame elements loaded with resistors is employed to provide the window in passband as well as the absorbing characteristic in stopband, meanwhile circle ring slot arrays with lossless characteristic is used to match the impedance of the lossy FSS layer. A simple structure is obtained by combining these two elements. The simulation results indicate that insertion loss of 0.35 dB can be obtained at 5.25 GHz and a bandwidth of 101% for the reflection less than 10 dB is achieved under normal incidence.
Effect of reduced ground plane in a vertex-fed hexagonal C-band antenna

Vertex-fed hexagonal planar antennas excite higher order modes. Monopole like radiation characteristics may be achieved through ground plane reduction. The paper presents the effect of reduced ground plane (RGP) which may be used as a technique to excite a higher-order mode and suppress spurious frequency radiation, if any, due to probe feeding. The designed antenna structure has a hexagonal slot at the centre of a hexagonal patch fed through a probe at a vertex of the hexagon. To understand the effect of RGP on antenna performance, an equivalent circuit model is analyzed and discussed. A study on surface current distribution over patch surface confirms radiation of TM12 mode. The proposed C-band antenna exhibits a gain of 3.84 dB at 5 GHz and a bandwidth of around 600 MHz that makes it suitable for indoor WLAN applications.
You can teach elephants to dance: agile VM handoff for edge computing

VM handoff enables rapid and transparent placement changes to executing code in edge computing use cases where the safety and management attributes of VM encapsulation are important. This versatile primitive offers the functionality of classic live migration but is highly optimized for the edge. Over WAN bandwidths ranging from 5 to 25 Mbps, VM handoff migrates a running 8 GB VM in about a minute, with a downtime of a few tens of seconds. By dynamically adapting to varying network bandwidth and processing load, VM handoff is more than an order of magnitude faster than live migration at those bandwidths.
Application of neural networks to denoising of CT images of lungs

One of the most challenging problems in the field of digital image processing is image denoising. When processing medical images, it is of particular relevance to improve the perceived quality of images, while preserving the diagnostically relevant information. This paper investigates the capacity of a neural network framework for medical image denoising. Specifically, the performance of the proposed image denoising method is evaluated on a database of computed tomography images of lungs using various image quality metrics, such as peak signal-to-noise ratio and mean squared error. Image denoising relies on block segmentation of noisy and low-pass filtered images to generate the input and the target data for the neural network training. This paper investigates how the choice of block size, network architecture, and the training method affect the denoising performance when image is degraded with additive Gaussian noise. The paper proposes the use of Kohonen's self-organizing maps for segmentation of feature space and the use of multiple, finely tuned multi-layer perceptrons to achieve an improved denoising performance.
Effect of DNAzymes targeting Akt1 on cell proliferation and apoptosis in nasopharyngeal carcinoma

The phosphoinositide 3-kinase (PI3K)/Akt signaling pathway is important in nasopharyngeal carcinoma (NPC) pathogenesis. Activated PI3K and its downstream target Akt are concernful signaling molecules and key survival factors involved in the control of cell proliferation, apoptosis and oncogenesis. The protein kinase Akt1, one of the Akt family members, is involved in several signaling pathways for tumor development and progression, suggesting that Akt1 might be an interesting target for a molecular tumor therapy. DNAzyme is a single-stranded DNA catalyst that can be engineered to bind to their complementary sequence in the target mRNA and cleave the mRNA. In this study, based on the analysis of sequences, thermodynamics and site distribution within the Akt1 gene, five DNAzymes were designed. We found that the DNAzyme, namely Dz2, strongly inhibited Akt1 mRNA and protein expression in the NPC cell line CNE1-LMP1. It was showed that the inhibition of cell proliferation, stimulation of apoptosis and inhibition of xenograft growth in nude mice can also exerted by Dz2. Besides, the apoptosis was shown to be associated with the suppression of the Bcl-2 and increased expression of Bax. Thus, DNAzyme targeting Akt1, Dz2, can inhibit multiple key tumorigenic processes in vitro and in vivo and may serve as a useful anti-cancer agent in NPC.
Fully pipelined and hardware efficient architecture to improve peak signal to noise ratio for real-time demosaicking

Demosaicking is used in real-time digital camera system. Digital camera captures images in the form of red, green and blue colors in a particular mosaic pattern by monochromatic detectors. So each pixel captures onlya single color among red, green and blue colors in the form of Bayer pattern. Demosaicking is the process of findingthe two unknown colors among red, green and blue colors of each pixel. Malver-He-Cutler demosaicking algorithm uses a linear interpolation demosaicking method to find the unknown colors and it is widely used in digital cameras for demosaicking. In this paper, a new algorithm is proposed to obtain thetwo unknown colors of each pixel and compared withthat of the existing Malver-He-Cutler demosaicking algorithm. To compare these two algorithms, MATLAB and MATLAB Simulink Model using System Generator Blocks are used. Fromthe experiment performed using the imagesof SIPI database, the new algorithm yields better performance than the existing Malver-He-Cutler algorithm. To implement any design some hardware circuitry is used in real life. That hardware circuit should use less number of hardware units to save power and chip area. This new demosaicking design is implemented by using hardware sharing to reduce the number of multipliers and adders.
Foraging Activity of Xylocopa cearensis (Ducke) in Sand Dune Landscape

Bees foraging strategy is affected by the distribution and abundance of flower resources, mainly nectar and pollen. Homing-time of female Xylocopa cearensis (Ducke) bees to their nests was assessed through a simple translocation method. The hypothesis addressed was that resource distribution in the landscape level influences bee homing time. The study area comprises about 300ha in a sand dune field with patchy shrubs in Salvador, Bahia, Brazil. The mean homing time after translocation was 60 min (sd = 4.36 min; n= 03), except for one bee that did not returned. The translocation technique was successfully applied to large solitary bees, since they do return to their own nest and can be easily recognized when arriving. Also, bees returned carrying pollen, what suggests foraging activity after translocations. Results evidence landscape functional connectivity since bees were able to move through local habitats. Further studies should address movement cost tradeoffs and its consequences on bee diversity conservation.
Does the UK Stock Market Overreact? Some Further Evidence for Stock Market Efficiency

One of the central hypotheses of behavioural finance is that stock prices systematically overreact. The seminal study is DeBondt and Thaler (1985), which appears to show that past winners (stocks that have earned the highest positive abnormal returns during the pre-formation period) tend to exhibit negative abnormal returns during the post-formation period, and similarly that past losers (stocks that have earned the greatest negative abnormal returns during the pre-formation period) tend to exhibit positive abnormal returns during the post-formation period. Pre- and post-formation periods range from one year to five years. It is further reported that stocks that have 'overreacted' the most, i.e. where the pre-formation period is longer, and hence where the abnormal returns are more extreme, tend to exhibit a correspondingly greater 'correction' during the post-formation period. The ensuing debate has focussed mainly on whether the results can be explained by a risk-premium story. However, the question has also been raised as to whether the purported overreaction effect actually exists at all, or whether it is merely an artefact created by data or methodological biases. The present study addresses the second of these issues, by carrying out an overreaction study using a new survivorship and look-ahead bias-free database on the UK stock market, SFD Capital UK Fully Listed Version 2.1, and using both cumulative abnormal return and holding period return methodologies in computing long-term returns. Using cumulative abnormal returns largely corroborates the results of DeBondt and Thaler (1985), while using holding period returns finds no evidence of overreaction. It is argued that the main results of the paper provide further evidence for weak form efficiency in the UK stock market.
Antisense inhibition of BCL‐2 expression induces retinoic acid‐mediated cell death during differentiation of human NT2N neurons

Changes in expression of the proto‐oncogene Bcl‐2are well known in the developing brain, with a high expression level in young post‐mitotic neurons that are beginning the outgrowth of processes. The physiological significance of the Bcl‐2 up‐regulation in these neurons is not fully understood. We used a differentiation model for human CNS neurons to study the expression and function of Bcl‐2. NT2/D1 human neuronal precursor cells differentiated into a neuronal phenotype in the presence of 10 µm retinoic acid for 3–5 weeks. This concentration of retinoic acid was not toxic to undifferentiated NT2/D1 cells but was sufficient to up‐regulate the BCL‐2 protein in 6 days. The BCL‐2 levels increased further after 3 weeks, i.e. when the cells started to show neuronal morphology. Inhibition of the accumulation of endogenous BCL‐2 with vectors expressing the antisense mRNA of Bcl‐2 caused extensive apoptosis after 3 weeks of the retinoic acid treatment. The loss of neuron‐like cells from differentiating cultures indicated that the dead cells were those committed to neuronal differentiation. Death was related to the presence of retinoic acid since withdrawal of retinoic acid after 16 days of treatment dramatically increased cell surviving. The ability of BCL‐2 to prevent retinoic acid‐induced cell death was also confirmed in undifferentiated NT2/D1 cells that were transfected with a vector containing Bcl‐2 cDNA in sense orientation and exposed to toxic doses (40–80 µm) of retinoic acid. Furthermore, down‐regulation of BCL‐2 levels by an antisense oligonucleotide in neuronally differentiated NT2/D1 cells increased their susceptibility to retinoic acid‐induced apoptosis. These results indicate that one function of the up‐regulation of endogenous BCL‐2 during neuronal differentiation is to regulate the sensitivity of young post‐mitotic neurons to retinoic acid‐mediated apoptosis.
Are patients with primary hypothyroidism in India receiving appropriate thyroxine replacement? An observational study

Background: A large proportion of patients worldwide under treatment for hypothyroidism with thyroxine show suboptimal Thyroid Stimulating Hormone (TSH) values. There is a paucity of Indian data on ‘out-of-range’ TSH values in patients with primary hypothyroidism receiving levothyroxine treatment. Aim: To assess the percentage of primary hypothyroid patients with abnormal thyroid function despite being prescribed levothyroxine for at least 2 m. Materials and Methods: A cross-sectional, single visit, observational study in adult patients with primary hypothyroidism on treatment with levothyroxine for at least 2m was undertaken across 10 cities in India. Compliance to thyroxine therapy was assessed by interviewing the subjects and their quality of life was assessed by administering the SF-36 questionnaire. A random blood sample (5ml) was drawn from the study subjects during the same visit for assessing serum TSH levels. TSH levels were correlated with the current dose of levothyroxine. Results: A total of 1950 subjects (mean age 41.4 ± 11.17 years; female 81.2%, male 18.8%) with primary hypothyroidism were enrolled in the study. Of the 1925 subjects in whom TSH values were available, 808 (41.97%) were under-treated (TSH > 4 mIU/L) and 243 (12.62%) were over-treated (TSH < 0.4mIU/L). The mean dose of thyroxine in this study was 1.23 μg/kg/day (±0.85). Majority of subjects (90.79%) were compliant/moderately compliant to thyroxine therapy. Age and autoimmune hypothyroidism were the factors that had significant impact on serum TSH. Subjects with abnormal TSH had significantly lower scores for role limitation due to emotional problems (P = 0.0278) and due to physical health (P = 0.0763). Conclusion: This study concluded that around half (54%) of known hypothyroid subjects had out-of-range serum TSH despite being treated with levothyroxine for at least 2m. The mean daily dose of thyroxine (1.23 μg/kg ± 0.85) was less than the recommended full replacement dose.
Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks

Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell carcinoma, and small cell carcinoma) is required. However, improving the accuracy and stability of diagnosis is challenging. In this study, we developed an automated classification scheme for lung cancers presented in microscopic images using a deep convolutional neural network (DCNN), which is a major deep learning technique. The DCNN used for classification consists of three convolutional layers, three pooling layers, and two fully connected layers. In evaluation experiments conducted, the DCNN was trained using our original database with a graphics processing unit. Microscopic images were first cropped and resampled to obtain images with resolution of 256 × 256 pixels and, to prevent overfitting, collected images were augmented via rotation, flipping, and filtering. The probabilities of three types of cancers were estimated using the developed scheme and its classification accuracy was evaluated using threefold cross validation. In the results obtained, approximately 71% of the images were classified correctly, which is on par with the accuracy of cytotechnologists and pathologists. Thus, the developed scheme is useful for classification of lung cancers from microscopic images.
Usability of Various LTCC in Microstrip Filters Construction

Multilayer packages represent a traditional application of Low Temperature Co-fired Ceramics (LTCC) in electronics. Nowadays, the use of the LTCC is becoming very popular in construction of microstrip filters applied in GHz (HF) range. Research and development on the LTCC microstrip filters performed at Technical University of Kosice has revealed yet unexplored possibility of using various LTCC up to 13 GHz and in this way a possibility of microelectronic structure production applied in the communication application. In this study, we will find out a method of shrinkage instability elimination as well as a correlation between shrinkage and mechanical properties. Dimensional accuracy and flatness of the ceramic substrate is the most important factor in the development of the microstrip filters applied in the HF area. The paper reviews LTCC processes from this point of view and shows that the main aspect of LTCC technology is targeting a more precise manufacturing tolerance control in which electrical performance (scattering parameters) is sensitive to the HF area such as realization of fine line microstrip structure.
Nrf2 degron‐fused reporter system: a new tool for specific evaluation of Nrf2 inducers

The transcription factor Nrf2 is degraded through the proteasome pathway, but is stabilized in response to oxidative and electrophilic stresses, and activates cytoprotective enzyme genes through binding to the antioxidant/electrophile response element (ARE/EpRE). Nrf2 inducers thus have considerable potential as therapeutic drugs. Although ARE‐driven reporters are commonly employed to validate Nrf2 inducers, these reporters are relatively nonspecific. We have generated a new reporter, Nrf2d‐LacZ, which may prove to be a better tool for validation of Nrf2 inducers. We made the Nrf2d‐LacZ reporter by fusing the N‐terminus of Nrf2 harboring a Neh2 degron to β‐galactosidase (LacZ), and compared its activity in immortalized mouse embryo fibroblasts (MEFs) with conventional ARE‐luciferase (ARE‐Luc) reporters in 293T cells, and in MEFs. Nrf2d‐LacZ was degraded in unstressed conditions, but stabilized upon exposure to stresses. LacZ activity was induced by electrophiles in a dose‐dependent manner, and the induction was detected much more rapidly compared with ARE‐Luc. Nrf2d‐LacZ was activated not only by electrophiles but also by a variety of other Nrf2 inducing stresses. Although ARE‐Luc was activated by 12‐O‐Tetradecanoylphorbol 13‐acetate in an Nrf2‐independent manner, Nrf2d‐LacZ was not activated by TPA, thus emphasizing the specificity of the Nrf2d‐LacZ reporter system for validation of Nrf2 inducers.
Histone Deacetylase 7 and FoxA1 in Estrogen-Mediated Repression of RPRM

ABSTRACT Activation of estrogen receptor α (ERα) results in both induction and repression of gene transcription; while mechanistic details of estrogen induction are well described, details of repression remain largely unknown. We characterized several ERα-repressed targets and examined in detail the mechanism for estrogen repression of Reprimo (RPRM), a cell cycle inhibitor. Estrogen repression of RPRM is rapid and robust and requires a tripartite interaction between ERα, histone deacetylase 7 (HDAC7), and FoxA1. HDAC7 is the critical HDAC needed for repression of RPRM; it can bind to ERα and represses ERα's transcriptional activity—this repression does not require HDAC7's deacetylase activity. We further show that the chromatin pioneer factor FoxA1, well known for its role in estrogen induction of genes, is recruited to the RPRM promoter, is necessary for repression of RPRM, and interacts with HDAC7. Like other FoxA1 recruitment sites, the RPRM promoter is characterized by H3K4me1/me2. Estrogen treatment causes decreases in H3K4me1/me2 and release of RNA polymerase II (Pol II) from the RPRM proximal promoter. Overall, these data implicate a novel role for HDAC7 and FoxA1 in estrogen repression of RPRM, a mechanism which could potentially be generalized to many more estrogen-repressed genes and hence be important in both normal physiology and pathological processes.