Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information

Feature Selection is the process of selecting a subset of relevant features (i.e. predictors) for use in the construction of predictive models. This paper proposes a hybrid feature selection approach to breast cancer diagnosis which combines a Genetic Algorithm (GA) with Mutual Information (MI) for selecting the best combination of cancer predictors, with maximal discriminative capability. The selected features are then input into a classifier to predict whether a patient has breast cancer. Using a publicly available breast cancer dataset, experiments were performed to evaluate the performance of the Genetic Algorithm based on the Mutual Information approach with two different machine learning classifiers, namely the k-Nearest Neighbor (K-NN), and Support vector machine (SVM), each tuned using different distance measures and kernel functions, respectively. The results revealed that the proposed hybrid approach is highly accurate for predicting breast cancer, and it is very promising for predicting other cancers using clinical data.
Cellular capsules as a tool for multicellular spheroid production and for investigating the mechanics of tumor progression in vitro

Significance Tumor growth intrinsically generates pressure onto the surrounding tissues, which conversely compress the tumor. These mechanical forces have been suggested to contribute to tumor growth regulation. We developed a microfluidic technique to produce 3D cell-based assays and to interrogate the interplay between tumor growth and mechanics in vitro. Multicellular spheroids are grown in permeable elastic capsules. Capsule deformation provides a direct measure of the exerted pressure. By simultaneously imaging the spheroid by confocal microscopy, we show that confinement induces a drastic cellular reorganization, including increased motility of peripheral cells. We propose that compressive stress has a beneficial impact on slowing down tumor evolution but may have a detrimental effect by triggering cell invasion and metastasis. Deciphering the multifactorial determinants of tumor progression requires standardized high-throughput preparation of 3D in vitro cellular assays. We present a simple microfluidic method based on the encapsulation and growth of cells inside permeable, elastic, hollow microspheres. We show that this approach enables mass production of size-controlled multicellular spheroids. Due to their geometry and elasticity, these microcapsules can uniquely serve as quantitative mechanical sensors to measure the pressure exerted by the expanding spheroid. By monitoring the growth of individual encapsulated spheroids after confluence, we dissect the dynamics of pressure buildup toward a steady-state value, consistent with the concept of homeostatic pressure. In turn, these confining conditions are observed to increase the cellular density and affect the cellular organization of the spheroid. Postconfluent spheroids exhibit a necrotic core cemented by a blend of extracellular material and surrounded by a rim of proliferating hypermotile cells. By performing invasion assays in a collagen matrix, we report that peripheral cells readily escape preconfined spheroids and cell–cell cohesivity is maintained for freely growing spheroids, suggesting that mechanical cues from the surrounding microenvironment may trigger cell invasion from a growing tumor. Overall, our technology offers a unique avenue to produce in vitro cell-based assays useful for developing new anticancer therapies and to investigate the interplay between mechanics and growth in tumor evolution.
Room-temperature ionic liquids as replacements for organic solvents in multiphase bioprocess operations.

Organic solvents are widely used in a range of multiphase bioprocess operations including the liquid-liquid extraction of antibiotics and two-phase biotransformation reactions. There are, however, considerable problems associated with the safe handling of these solvents which relate to their toxic and flammable nature. In this work we have shown for the first time that room-temperature ionic liquids, such as 1-butyl-3-methylimi- dazolium hexafluorophosphate, [bmim][PF(6)], can be successfully used in place of conventional solvents for the liquid-liquid extraction of erythromycin-A and for the Rhodococcus R312 catalyzed biotransformation of 1, 3-dicyanobenzene (1,3-DCB) in a liquid-liquid, two-phase system. Extraction of erythromycin with either butyl acetate or [bmim][PF(6)] showed that values of the equilibrium partition coefficient, K, up to 20-25 could be obtained for both extractants. The variation of K with the extraction pH was also similar in the pH range 5-9 though differed significantly at higher pH values. Biotransformation of 1,3-DCB in both water-toluene and water-[bmim][PF(6)] systems showed similar profiles for the conversion of 1,3-DCB initially to 3-cyanobenzamide and then 3-cyanobenzoic acid. The initial rate of 3-cyanobenzamide production in the water-[bmim][PF(6)] system was somewhat lower, however, due to the reduced rate of 1,3-DCB mass transfer from the more viscous [bmim] [PF(6)] phase. It was also shown that the specific activity of the biocatalyst in the water-[bmim] [PF(6)] system was almost an order of magnitude greater than in the water-toluene system which suggests that the rate of 3-cyanobenzamide production was limited by substrate mass transfer rather than the activity of the biocatalyst.
Performance Enhancement of Routing Protocol for Longer Life Time of WSN

sensor networks are the key part of mobile ad-hoc network (MANET) and the every node has to be active for long time to send information on the server. Since it has been operated with battery so there is a challenge to keep such node active for long time. The way nodes are active for long period of time is to change the pattern of data transfer between node and the server. To achieve this goal several routing protocols came under existence. One of them is low energy adaptive clustering hierarchy (LEACH) is performing better lifetime of the WSN. In this paper the LEACH routing protocols is modified and made more energy efficient by changing the selection procedure of the cluster heads. By making the probability little bit higher for cluster head selection makes lifetime of the cluster longer than existing work.
Tumor necrosis factor alpha as a marker of systemic and local inflammation in “healthy” smokers

Background Tobacco smoking induces a local and systemic inflammatory reaction and also a decline in pulmonary function. There are some novel noninvasive methods to measure the degree of inflammatory bronchial reaction, including the exhaled breath condensate (EBC) in which several inflammatory markers can be measured, including tumor necrosis factor alpha (TNF-α). There is a clear clinical need to develop methods that allow early detection of smokers at risk of losing pulmonary function. Objectives The aims of the present study are: 1) to show that smokers show higher levels of TNF-α both in serum and EBC; 2) to analyze the possible influence of gender, age, and weight on this parameter; and 3) to determine a possible association between smoking and pulmonary function parameters and TNF-α levels. Material and methods We have prospectively analyzed two cohorts of smokers and non-smokers subjects without any chronic or acute disease (within eight weeks of study initiation). We have performed pulmonary function tests with bronchodilators and also collected EBC and blood samples before smoking cessation. Statistical analysis was performed with SPSS 11.0 for Windows Statistical Package. Results The study has enrolled 17 patients (8 smokers), 50% of whom were females. Mean age was 38.59 years old (standard deviation, 7.4). The mean number of cigarettes smoked in the smoker group was 26.14 (11.29) cigarettes/day and the mean age when tobacco first began was 15.14 (2.04) years. We have not been able to show any significant differences in TNF-α levels according to age or weight. For the whole series we have not found any significant influence of gender in TNF-α levels, but after dividing the series in smokers and nonsmokers, we have shown higher levels of TNF-α in serum (5.59 [0.26] pg/mL vs 5.56 [0.37] pg/mL; nonsignificant [NS]) and EBC (4.94 [0.41] pg/mL vs 4.22 [0.36] pg/mL; p = 0.031) in male smokers. On the other hand, nonsmoking females showed slightly higher TNF-α levels in serum (5.70 [0.50] pg/mL vs 5.42 [0.29] pg/mL; NS) and EBC (4.54 [0.92] vs 4.11 [0.41 pg/mL]; NS). Smokers had higher TNF-α levels in EBC (4.46 [0.58] pg/mL vs 4.34 [0.62] pg/mL; NS), while serum TNF-α levels were slightly higher in nonsmokers (5.52 [0.56] pg/mL vs 5.50 [0.27] pg/mL; NS). We have not demonstrated any association between tobacco consumption and TNF-α levels. We have not shown any significant relation between pulmonary function and the studied parameters, with only a modest association between forced expiratory volume at one second and forced vital capacity and TNF-α levels in EBC. Conclusion Smokers show higher TNF-α levels in EBC. Among smokers, males show higher levels of TNF in serum and EBC. We have not confirmed any significant influence of age or weight on TNF-α levels. These levels do not seem to be influenced either by the amount of tobacco or the time since habit began. We have shown a modest relation between pulmonary function and TNF-α levels in EBC.
[Ultrasonography of the first metatarsophalangeal joint in gout].

INTRODUCTION About one half of the first gout attacks occur in the first metatarsophalangeal joint (MTPJ1); in the disease course this joint is practically inevitably affected. Radiographic evidence of bone erosions is the indication for hypouricaemic therapy in order to prevent joint destruction and nephropathy. Advantages of ultrasonography (US) comparing to conventional x-ray findings in depicting early bone erosions in various inflammatory arthropathies have been demonstrated by several studies. OBJECTIVE The aims of this study were to compare US and x-ray findings in the detection of MTPJ1 erosions in patients with gout, to correlate sonographic and clinical features, and to detect possible characteristic sonographic features of gout. METHODS Thirty patients (60 MTPJ1) with primary gout (ACR) and 10 age-matched control subjects (20 MTPJ1) with different inflammatory arthropathies were clinically evaluated. Standard dorsiplantar weight bearing and lateral weight bearing x-ray views of both feet were taken. US was performed and interpreted by an independent sonographer on the presence of bone erosions, synovial fluid, synovial hypertrophy, Doppler signal and hyperechoic spots. Statistical analysis was performed (Spearman and Pearson correlation coefficient, Wilcoxon and chi2 test.) RESULTS Twenty-four studied MTPJ1 had evidence of erosions, 17 only on US and seven both on x-ray and on US (Z = -4.123; p = 0.000). US findings showed that hyperechoic spots were the most prominent feature of gouty MTPJ1 (chi2 = 40.909; p = 0.000), followed by erosions and synovial fluid presentation. CONCLUSION US of MTPJ1 in gout discovers significantly more erosions than x-ray, which may have therapeutic implications. The evidence of hyperechoic spots (surrogate crystals) of the different size, number and orientation is a major sonographic feature of the MTPJ1 in gout, which may be of importance in the diagnosis of certain cases (low serum urate, unavailable synovial fluid or the urate crystals absence).
Hershel: Single-Packet OS Fingerprinting

Traditional TCP/IP fingerprinting tools (e.g., nmap) are poorly suited for Internet-wide use due to the large amount of traffic and intrusive nature of the probes. This can be overcome by approaches that rely on a single SYN packet to elicit a vector of features from the remote server. However, these methods face difficult classification problems due to the high volatility of the features and severely limited amounts of information contained therein. Since these techniques have not been studied before, we first pioneer stochastic theory of single-packet OS fingerprinting, build a database of 116 OSs, design a classifier based on our models, evaluate its accuracy in simulations, and then perform OS classification of 37.8M hosts from an Internet-wide scan.
Electro‐Optical Study of Subphthalocyanine in a Bilayer Organic Solar Cell

Ultra‐thin films of subphthalocyanine (SubPc) were grown onto Si/SiO2 substrates by organic molecular beam deposition and the complex refractive index has been characterized by spectroscopic ellipsometry. The peak maximum in the extinction coefficient is determined to be 1.6 at 590 nm and the dielectric constant equals 3.9 in the limit of long wavelength. These values are extraordinary high when compared to the well‐known metal‐phthalocyanines and will be beneficial for the performance in a photovoltaic cell. The amorphous SubPc structure on top of indium‐tin‐oxide (ITO) as well as quartz glass is imaged by atomic force microscopy and scanning electron microscopy and we have characterized the nearly flat surface topology. Next, subphthalocyanine films in combination with buckminsterfullerene (C60) have been studied in a planar bilayer donor/acceptor heterojunction by current density‐voltage characterization under AM 1.5 simulated illumination at various light intensities. A power conversion efficiency of 3.0 % under 1 sun was measured. Finally, the external and internal quantum efficiencies demonstrated peak maxima at 590 nm of 46 % and 55 %, respectively. Considering the abrupt junction at the donor/acceptor interface, the electron transfer from SubPc to the acceptor material is thus determined to be highly efficient.
Induction of Endothelial-Leukocyte Interaction by Interferon-γ Requires Coactivation of Nuclear Factor-κB

To determine whether nuclear factor (NF)-kappaB is necessary to confer endothelial cell responsiveness to interferon (INF)-gamma in terms of vascular cell adhesion molecule (VCAM)-1 expression and leukocyte adhesion, human endothelial cells were treated with IFN-gamma in the presence of low concentrations (LCs) of interleukin (IL)-1alpha (</=100 pg/mL), which activates NF-kappaB but does not induce VCAM-1 expression. Although IFN-gamma induced major histocompatibility complex class II antigen expression and although a high concentration of IL-1alpha (10 ng/mL) induced leukocyte adhesion and VCAM-1 expression, neither IFN-gamma nor LC IL-1alpha was able to induce VCAM-1 expression or leukocyte adhesion. However, the combination of IFN-gamma and LC IL-1alpha induced VCAM-1 expression and increased leukocyte adhesion (67% and 49% of high-concentration IL-1alpha, respectively). Electrophoretic mobility shift assays and immunoblotting of nuclear extracts showed that IFN-gamma activated signal transducers and activators of transcription (STAT)-1alpha and interferon regulatory factor (IRF)-1 but not NF-kappaB, whereas LC IL-1alpha activated NF-kappaB but not STAT-1alpha or IRF-1. Nuclear run-on studies showed that LC IL-1alpha is necessary but not sufficient for inducing VCAM-1 gene transcription and that the combination of IFN-gamma and LC IL-1alpha is required for full VCAM-1 gene transcription. These findings suggest that factors that activate NF-kappaB can synergize with IFN-gamma in promoting endothelial-leukocyte interaction.
Vendor’s Conduct and Contract Mechanism in IT Outsourcing Based on Information Inferiority

In IT outsourcing, contract defects often cause outsourcing failure. Many client firms do not know well how to design the contract because they have no way to access private information of vendors, so vendors are likely to conduct out of constraint. This work combined relational contract with conventional one to establish an integral management mechanism. It at first gave the cost-increment analysis method to improve relational contract design so that it would facilitate outsourcing contract to work efficiently. Then analyzed the relation between vendor profit-gaining and its varied conducts, and built up the method of contract design to allow vendor gaining profit only when it conducts following its true types. In the method, the private information was sorted into a variety of conduct types and universal decision was found out aiming all the types. The mechanism effectively incents and constrains vendors without relying on private information.
Histological verification of the prehypogastric and ovarian ganglia confirms a bilaterally symmetrical organization of the ganglia comprising the aortic plexus in female human cadavers

The aortic plexus is a network of sympathetic nerves positioned along the infrarenal abdominal aorta. Recently, we characterized the aortic plexus and its ganglia (inferior mesenteric, left/right spermatic, and prehypogastric ganglion) in males; however, the literature minimally describes its anatomy in females. In the present study, we conducted the first histological examination of the left and right ovarian ganglia, while also investigating whether females, like males, exhibit a prehypogastric ganglion. The ganglia were dissected from embalmed (n = 32) and fresh (n = 1) human cadavers, and H&E staining was used to confirm the presence of a left ovarian ganglion in 31/31 specimens, a right ovarian ganglion in 29/29 specimens and a prehypogastric ganglion in 25/28 specimens. Comparable to the topographic arrangement in males, there is a bilateral organization of the ganglia comprising the aortic plexus in females. More specifically, the left and right ovarian ganglia were positioned in close relation to their respective ovarian artery, whereas the prehypogastric ganglion was positioned within the right cord of the aortic plexus, contralateral to the inferior mesenteric ganglion. Using immunohistochemistry, it was shown that all ganglia from the fresh cadaver stained positive for tyrosine hydroxylase, thereby confirming their sympathetic nature. Having provided the first topographical and histological characterization of the ovarian and prehypogastric ganglia in females, future studies should seek to determine their specific function.
Research on the Innovation of Marketing Channels for High-Tech Enterprises in the Background of E-commerce

With the rapid growth of corporate in modern society, based on the enterprise level, we pay close attention to corporate social responsibility in no-market environment, and other related non-market strategy patterns on the level of the strategic management. In no-market environment, such as strict government control, by analyzing of game between main interests about Pollution of Electromagnetic Radiation, under the circumstance of the government making standard but not directly getting involved, we propose to analyze strategic CSR and no-market strategy by dynamic game tree. Furthermore, we propose that the corporate decides the corporate social orientation and invests in environmental protection by applying acts of no-market strategy, not just enhances the social image in more from the moral dimension of promoting competitive strength and enhancing product differentiation advantages.
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

Learning to form appropriate, task-relevant working memory representations is a complex process central to cognition. Gating models frame working memory as a collection of past observations and use reinforcement learning (RL) to solve the problem of when to update these observations. Investigation of how gating models relate to brain and behavior remains, however, at an early stage. The current study sought to explore the ability of simple RL gating models to replicate rule learning behavior in rats. Rats were trained in a maze-based spatial learning task that required animals to make trial-by-trial choices contingent upon their previous experience. Using an abstract version of this task, we tested the ability of two gating algorithms, one based on the Actor-Critic and the other on the State-Action-Reward-State-Action (SARSA) algorithm, to generate behavior consistent with the rats'. Both models produced rule-acquisition behavior consistent with the experimental data, though only the SARSA gating model mirrored faster learning following rule reversal. We also found that both gating models learned multiple strategies in solving the initial task, a property which highlights the multi-agent nature of such models and which is of importance in considering the neural basis of individual differences in behavior.
eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences

eggNOG is a public resource that provides Orthologous Groups (OGs) of proteins at different taxonomic levels, each with integrated and summarized functional annotations. Developments since the latest public release include changes to the algorithm for creating OGs across taxonomic levels, making nested groups hierarchically consistent. This allows for a better propagation of functional terms across nested OGs and led to the novel annotation of 95 890 previously uncharacterized OGs, increasing overall annotation coverage from 67% to 72%. The functional annotations of OGs have been expanded to also provide Gene Ontology terms, KEGG pathways and SMART/Pfam domains for each group. Moreover, eggNOG now provides pairwise orthology relationships within OGs based on analysis of phylogenetic trees. We have also incorporated a framework for quickly mapping novel sequences to OGs based on precomputed HMM profiles. Finally, eggNOG version 4.5 incorporates a novel data set spanning 2605 viral OGs, covering 5228 proteins from 352 viral proteomes. All data are accessible for bulk downloading, as a web-service, and through a completely redesigned web interface. The new access points provide faster searches and a number of new browsing and visualization capabilities, facilitating the needs of both experts and less experienced users. eggNOG v4.5 is available at http://eggnog.embl. de.
Prediction of analog performance parameters using oscillation based test

Oscillation based test (OBT) is a low-cost and vectorless test technique for analog and mixed-signal integrated circuits. Previous research with OBT has focused primarily on structural issues with an emphasis on fault detection rather than determining the conformance of the circuit under test (CUT) with its specifications, or evaluation of CUT performance. This paper presents a novel methodology for efficient interpretation of OBT results. The proposed predictive oscillation based test (POBT) methodology uses adaptive regression models to predict the performance parameters of the CUT from the oscillation measurements. Simulation results indicate that, under parametric variations, this methodology can determine CUT performance parameters, resulting in enhanced test effectiveness.