Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a classifier model for lung tumors in CT-scan images

A CT-scan is a vital tool for the diagnosis of lung cancer via tumor detection. Developing a classifier to make use of the information in CT-scan images could provide a non-invasive alternative to histopathological techniques such as needle biopsy to identify tumor types. Image features extracted from 74 lung tumor objects of CT-scan images are used in classifying tumor types. Classification is done into two major classes of non-small cell lung tumors, Adenocarcinoma and Squamous-cell Carcinoma, each constituting 30% of all lung tumors. In this first of its kind investigation, a large group of 2D and 3D image features which were hypothesized to be useful are evaluated for effectiveness in classifying the tumors. Classifiers including decision trees and support vector machines are used along with feature selection techniques (Wrappers and Relief-F) to build models for tumor classification. Results show that over the large feature space for both 2D and 3D features it is possible to recognize tumor classes with about 68% accuracy, showing new features may be of help. The accuracy achieved using 2D and 3D features is similar with 3D easier to use.
A Bibliometric Perspective on Defining External Resource Management (ERM) Research

s were gathered from 6 journals, spanning a period of 16 years. The journals were chosen on the basis of two per discipline (Operations Management, Strategy, Marketing) where one of the journals is ranked the highest, and the other known for publishing research on inter-organizational issues. The journals in question were:  Journal of Marketing  Industrial Marketing Management  Journal of Supply Chain Management  Academy of Management Journal  Journal of Operations Management  Strategic Management Journal Articles from these journals over the time period were then winnowed by removing articles covering descriptive studies, intra-organizational studies and studies that do not see external factors as resources (i.e. simply maximising profits from external factors). Articles that passed through the process concentrate on the managerial viewpoint, testing or the development of a theory, and focus on inter-organizational relations and networks. (Tanskanen et al. 2014) This thesis aims to further distill the selection of articles into observable themes in article subjects and associations, indicating shared research subjects. The result can be used to help support or explain the findings of the ERM project.
Affine-invariant B-spline moments for curve matching

This paper deals with the problem of matching and recognizing planar curves which are modeled as B-splines. The paper presents a fast algorithm for estimating the control points of the B-spline which is robust to nonuniform sampling and noise. Curve matching is achieved by using the similarity measure based on the knot points associated with the B-spline curves. This method, however, can not handle the affine transformation and/or occlusion between the curves. This paper presents solutions to these two problems through the use of a new class of weighted B-spline curve moments that results in (1) a closed-form solution for the affine transformation parameters; (2) the starting and ending points of the segment on the prototype curve that was affine transformed to yield the observed curve. The method is used for classifying affine transformed silhouette of aircrafts, and appears to perform well. <<ETX>>
Cytoplasmic Death Signal Triggered by Src-Mediated Phosphorylation of the Adenovirus E4orf4 Protein

ABSTRACT In transformed cells, the adenovirus E4orf4 death factor works in part by inducing a Src-mediated cytoplasmic apoptotic signal leading to caspase-independent membrane blebbing and cell death. Here we show that Src-family kinases modulate E4orf4 phosphorylation on tyrosine residues. Mutation of tyrosines 26, 42, and 59 to phenylalanines inhibited Src-induced phosphorylation of E4orf4 in vivo and in vitro but had no effect on the molecular association of E4orf4 with Src. However, in contrast to wild-type E4orf4, the nonphosphorylatable E4orf4 mutant was unable to modulate Src-dependent phosphorylation and was deficient in recruiting a subset of tyrosine-phosphorylated proteins. Indeed, the Src substrates cortactin and p62dok were found to associate with wild-type E4orf4 but not with the nonphosphorylatable E4orf4. Importantly, the nonphosphorylatable mutant E4orf4 was preferentially distributed in the cell nucleus, was unable to induce membrane blebbing, and had a highly impaired killing activity. Conversely, an activated form of E4orf4 was obtained by mutation of tyrosine 42 to glutamic acid. This pseudophosphorylated mutant E4orf4 was enriched in the cytoplasm and plasma membrane, showed increased binding to phosphotyrosine-containing proteins, and induced a dramatic blebbing phenotype associated with increased cell death. Altogether, our findings strongly suggest that Src-mediated phosphorylation of adenovirus type 2 E4orf4 is critical to promoting its cytoplasmic and membrane localization and is required for the transduction of E4orf4-Src-dependent induction of membrane blebbing. We propose that E4orf4 acts in part by uncoupling Src-dependent signals to drive the formation of a signaling complex that triggers a cytoplasmic death signal.
The SH2 domain protein GRB‐7 is co‐amplified, overexpressed and in a tight complex with HER2 in breast cancer.

SH2 domain proteins are important components of the signal transduction pathways activated by growth factor receptor tyrosine kinases. We have been cloning SH2 domain proteins by bacterial expression cloning using the tyrosine phosphorylated C‐terminus of the epidermal growth factor receptor as a probe. One of these newly cloned SH2 domain proteins, GRB‐7, was mapped on mouse chromosome 11 to a region which also contains the tyrosine kinase receptor, HER2/erbB‐2. The analogous chromosomal locus in man is often amplified in human breast cancer leading to overexpression of HER2. We find that GRB‐7 is amplified in concert with HER2 in several breast cancer cell lines and that GRB‐7 is overexpressed in both cell lines and breast tumors. GRB‐7, through its SH2 domain, binds tightly to HER2 such that a large fraction of the tyrosine phosphorylated HER2 in SKBR‐3 cells is bound to GRB‐7. GRB‐7 can also bind tyrosine phosphorylated SHC, albeit at a lower affinity than GRB2 binds SHC. We also find that GRB‐7 has a strong similarity over > 300 amino acids to a newly identified gene in Caenorhabditis elegans. This region of similarity, which lies outside the SH2 domain, also contains a pleckstrin homology domain. The presence of evolutionarily conserved domains indicates that GRB‐7 is likely to perform a basic signaling function. The fact that GRB‐7 and HER2 are both overexpressed and bound tightly together suggests that this basic signaling pathway is greatly amplified in certain breast cancers.
Specific effect of high-pressure treatment of milk on cheese proteolysis

The extent of primary and secondary proteolysis of cheeses made from raw (RA), pasteurized (PA, 72 °C, 15 s) or pressure-treated (PR, 500 MPa, 15 min, 20 °C) goats' milk was assessed. Modifications in cheese-making technology were introduced to obtain cheeses with the same moisture content, and thus studied per se the effect of milk treatment on cheese proteolysis. The PR milk cheese samples were differentiated from RA and PA milk cheeses by their elevated β-lg content, and by the faster degradation of αs1-, αs2- and β-CN throughout ripening. Non-significant differences were found in either pH 4·6 soluble-nitrogen or trichloracetic acid soluble-nitrogen contents of cheeses. However, the pasteurization of milk decreased the free amino acid production in cheese. The RA milk cheeses had the highest amount of proline and the lowest concentrations of serine, tyrosine, arginine and α-aminobutyric acid, whereas PR milk cheese showed higher levels of arginine.
Use of Phase Delay Analysis for Evaluating Wideband Circuits: An Alternative to Group Delay Analysis

A phase delay analysis is proposed against pursuing a flat group delay response for the design of wideband circuits. While it is believed that a large group delay variation introduces a large data-dependent jitter, this brief reconsiders the effectiveness of the group delay analysis in the evaluation of wideband circuits. Because of its own differentiating nature, the group delay provides a good insight on the delay variation at a vicinity of a certain frequency. However, for certain kind of wideband circuits, the group delay analysis cannot provide a sufficient insight since much of useful information is lost or distorted during the differentiating operation. In this brief, the effectiveness of the phase delay analysis is investigated and comparison with a traditional group delay analysis is presented with a theoretical approach and through a few circuit examples.
Bit-Interleaved Coded Modulation for Hybrid RF/FSO Systems

In this paper, we propose a novel architecture for hybrid radio frequency (RF)/free-space optics (FSO) wireless systems. In particular, we show that a hybrid system robust to all weather conditions is obtained by joint bit-interleaved coded modulation (BICM) of the bit steams transmitted over the RF and FSO sub-channels. An asymptotic performance analysis reveals that a properly designed convolutional code can exploit the diversity offered by the independent sub-channels. Furthermore, we develop a code design criterion and provide an efficient code search procedure. Simulation results show that hybrid RF/FSO systems with BICM outperform previously proposed hybrid systems employing a simple repetition code and selection diversity.
The risk-return trade-off of companies listed at the Nairobi Stock Exchange

CAPM is basically a linear model that relates risk and return in which beta is the coefficient of the difference between the market return and the risk-free rate. However, in this research beta is not the gradient but the independent variable, while by rearrangement of the model the difference between the, market return is the gradient. The research sought to find out whether this relationship between return and risk captured by beta is as linear as suggested by the CAPM. To achieve this objective data were collected from the NSE for the period 4th January 2006 to 29th December 2010 which included Wednesday stock prices, Wednesday stock volumes, and the dividends. This was used to calculate the returns of stocks, the average Wednesday market returns and the betas of the companies. The values of beta and return were reduced to annual values thereby enabling every company to have five paired values of return and beta. Regression analysis was conducted on the paired values of risk and return for each company. The tests used in the regression tests were the T test and the F test. Most of the companies did not pass the linearity test as only thirty-two out of the fortythree had their F-values greater than the critical values of F. The test for the significance of the coefficient term also revealed that thirty-eight companies did not pass this test. The results therefore testify that the relationship between return and beta of firms at the NSE is not linear based on the Wednesday return.
The Core-Shell Model: implications for treatment assessment and community work

The past 20 years have witnessed an intensive, well-thoughtout effort of the Addiction Research Foundation to integrate assessment and referral centers with the larger system of substance abuse treatment in Ontario. This set of papers chronicles the development of the Core-Shell Model and the Action Plan and provides an important contribution to the health services literatures on assessment, matching, and community development. The papers discuss the evolution of the assessment and referral centers from a number of perspectives. The Martin paper describes the conceptual basis of the Core-Shell Model. It drew from work by Glaser and colleagues (Glaser
Transformations in E-Business Technologies and Commerce: Emerging Impacts

In Lee is a professor in the School of Computer Sciences at the College of Business and Technology at Western Illinois University in the US. He is a two-time winner of the Research Excellence Award in the College of Business and Technology at WIU. He is the founding Editor-in-Chief of the International Journal of E-Business Research. He has published his research in such journals as Communications of the ACM, IEEE Transactions on Systems, Man and Cybernetics, IEEE Transactions on Engineering Management, International Journal of Production Research, Decision Support Systems, Computers and Operations Research, International Journal of Production Economics, Business Horizons, Knowledge and Process Management, Journal of Small Business Management, Management Decision, Computers and Education, International Small Business Journal, Computers in Human Behavior, Business Process Management Journal, Computers and Industrial Engineering and others. Prior to his academic career, he worked for a number of multinational corporations. He has also served as a consultant for various government agencies and private organizations. His current research interests include web technology development and management, investment strategies for computing technologies and mobile services. He received his PhD in Business Administration from the University of Illinois at Urbana-Champaign. In Lee (Western Illinois University, USA)
Limited Diagnostic Capacities of Two Commercial Assays for the Detection of Leptospira Immunoglobulin M Antibodies in Laos

ABSTRACT The diagnostic utility of immunochromatographic (Leptotek) and enzyme-linked immunosorbent assay (ELISA; Panbio) tests for the detection of Leptospira immunoglobulin M antibodies was assessed in febrile adults admitted in Vientiane, Laos. Both tests demonstrated poor diagnostic accuracy using admission serum (Leptotek sensitivity of 47.3% and specificity of 75.5%: ELISA sensitivity of 60.9% and specificity of 65.6%) compared to the Leptospira “gold standard” microscopic agglutination test.
Low-power spectral phase correlator using periodically poled LiNbO3 waveguides

We report a novel optical spectral phase correlation scheme for coded ultrashort pulses based on the use of long periodically poled lithium niobate second harmonic generation waveguides. Second harmonic efficiency as high as 50%/pJ was obtained, which allowed us to demonstrate nonlinear detection of individual pulses at 0.25 pJ input energies over a 500-MHz detection bandwidth with >50:1 signal-to-noise ratio. These results offer the possibility of sub-pJ real-time operation of such devices as nonlinear receivers in ultrashort-pulse optical code-division multiple-access (CDMA) networks.
The Nature of Faint 24 µ m sources Seen in Spitzer Observations of ELAIS-N1

The Spitzer Space Telescope has undertaken the deepest ever observations of the 24 µ m sky in the ELAIS-N1 ﬁeld with the MIPS instrument as part of GOODS Science Veriﬁcation observations. We present completeness corrected extragalactic source counts down to 24 µ m ﬂux densities of 20 µ Jy (30% completeness), a factor of 10000 more sensitive than IRAS. The shape of the counts conﬁrms model predictions for a strong evolution of the infrared luminosity function between redshift of 0 and 1, and suggests a ﬂattening in the evolutionary parameters at higher redshifts. Models that ﬁt the counts indicate that luminous infrared galaxies (10 11 < L(8-1000 µ m) < 10 12 L ⊙ ) in the redshift range 0.5 < z < 2 . 5 con-stitute > 60% of 24 µ m sources seen in the ﬂux range 20 < S ν < 1000 µ Jy. At least 85%, and possibly all of the 24 µ m sources have a counterpart in the IRAC 3.6 µ m and 4.5 µ m near-infrared channels consistent with the expected spectral energy distribution of infrared luminous galaxies at moderate redshift. The similarity between the observed mid-infrared to near-infrared ﬂux ratios of the Spitzer detected sources and the 15 µ m/HK-band ﬂux ratios of the ISOCAM 15 µ m sources seen in the HDF-N strongly suggests that faint 24 µ m sources are high-redshift analogs of ISOCAM 15 µ m sources, and that they have the potential to provide an evolutionary connection between the well-studied z ∼ 3 Lyman-break galaxy population and the dusty starburst galaxies seen at z ∼ 1.
Radiation Therapy for Metastatic Spinal Cord Compression in Patients with Hepatocellular Carcinoma.

AIM This is the first study to investigate patients with metastatic spinal cord compression (MSCC) from hepatocellular carcinoma (HCC). PATIENTS AND METHODS Eight patients were analyzed with regard to survival and motor dysfunction. RESULTS Out of seven factors (age, affected vertebrae, ambulatory status, bone lesions, other distant metastases, time developing motor dysfunction, performance score) ambulatory status (p=0.005) and distant metastases (p=0.032) had a significant influence on survival. Both factors were used as a predictive tool (points: not ambulatory 0, ambulatory 1, distant metastases 0, no distant metastases 1). Total scores were 0, 1 or 2 points. Three-month survival rates were 0%, 67% and 100%, six-month survival rates 0%, 0% and 100%. Progression of motor dysfunction was prevented in 63% of patients; time developing motor deficits showed a trend (p=0.08). CONCLUSION Many patients with MSCC from HCC have a short survival, which can be predicted with a new tool. Radiation therapy can stop progression of motor dysfunction.
A Novel Centroid Localization for Wireless Sensor Networks

Self-localization of sensor nodes is one of the key issues in wireless sensor networks. Based on the analysis of traditional range-free algorithms such as centroid and APIT (approximate perfect point in triangulation test) schemes, the effect of random deployment of all nodes on node localization is researched. And then, an improved centroid localization algorithm (ICLA) based on APIT and the quality of perpendicular bisector is proposed. In ICLA, nodes are categorized into several kinds and localized, respectively. Extensive simulation results indicate that ICLA obtains a better localization result in random topology networks without any additional hardware. Therefore, ICLA can be an alternate solution for the node self-localization problem in large-scale wireless sensor networks.
HOPELESSNESS AND SUICIDAL IDEATION IN OUTPATIENTS WITH TREATMENT-RESISTANT DEPRESSION: PREVALENCE AND IMPACT ON TREATMENT OUTCOME

Depression and hopelessness are risk factors for suicide. The purpose of this study was to examine the extent of suicidal ideation and hopelessness in outpatients with treatment-resistant depression (TRD) and to study the impact of suicidal ideation and hopelessness on treatment with nortriptyline (NT). The degree of suicidal ideation and hopelessness was assessed during the screen visit with the use of items #3 and #30 of the Hamilton Depression Rating Scale (HAM-D) in 89 patients with TRD who entered a 6-week open trial of NT. Forty of these patients also completed the Beck Hopelessness Index (BHI) during the screen visit. In separate logistic regressions, the scores from the BHI and the two HAM-D items were then tested as predictors of clinical response to the 6-week trial with NT, controlling for the severity of depression. More than half of patients reported thoughts or wishes of death to self and significant hopelessness. A greater degree of hopelessness before treatment in completers, reflected by the score on the HAM-D item #30, predicted response to NT. More than half of patients with prominent hopelessness who completed the trial responded. Patients with TRD are more likely than not to report prominent suicidal ideation and hopelessness. Furthermore, a full 6-week trial of NT, a relatively noradrenergic tricyclic antidepressant, may be particularly useful in patients who have failed to respond to several antidepressants and also report significant hopelessness.
Family strengths: a potential determinant of the duration of untreated psychosis among hospitalized African‐American first‐episode patients

Aim: Evidence suggests that treatment delay, represented by the duration of untreated illness (DUI) and the duration of untreated psychosis (DUP), may be a potentially powerful determinant of the early course of primary psychotic disorders. Yet, research on the predictors of treatment delay has only just begun. To date, there are virtually no empirical data on the relationship between family functioning and treatment delay in the context of first‐episode psychosis. In this study, it was hypothesized that family strengths would be inversely correlated with DUI and DUP; and families of patients with a short DUI/DUP would have greater family strengths than those of patients with a long DUI/DUP.
Remedial operation of a fault-tolerant flux-switching permanent magnet motor for electric vehicle applications

Fault-tolerant flux-switching permanent magnet (FT-FSPM) motor is a new class of stator-PM brushless motors, a potential candidate for many applications where reliability and power density are of importance. In this paper, a new method is proposed for torque ripple minimization, in which the key is to introduce harmonic currents to compensate for non-ideal sinusoidal back-EMF. Moreover, a fault-tolerant control strategy is investigated, in which the effect of harmonic back-EMF is considered. Both simulation and experimental results confirm that the proposed control algorithms can reduce torque ripple under open-circuit fault conditions.
Comprehensive View of the Factors Associated with Knowledge Sharing and Organizational Innovation

Knowledge sharing and Innovation important topics at this century because all organizations lead employee to create new ideas also, transfer knowledge to increase performance interaction. This research paper examine the critical academic work in each streams of inquiry, the significance of knowledge management and its tie-in to innovation activities is broadly mentioned through focusing on knowledge sharing dimension IT support, organizational culture, empowerment leaders, rewards and its link with organizational innovation activities is widely acknowledged about new Tec, new market share, new stockholder and administrative innovation. This research paper work to propose theoretical model based factors derived from taxonomies by data collection from the second information collection via using literature review to make critical review. This paper recommends the organizations to adoption factors of knowledge sharing as a positive way to achieve innovation and competitive advantage.