Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Recovery of Exfoliated Colonocytes from Feces Using Newly Developed Immunomagnetic Beads

We demonstrated the feasibility of a new methodology for isolating colonocytes from feces. To reduce costs and improve the recovery rate of colonocytes from feces, we attempted to develop new immunomagnetic beads. Several sizes of magnetic beads were prepared and tagged with a monoclonal antibody against EpCAM. We made several new monoclonal antibodies against EpCAM, and each monoclonal antibody was tagged to the magnetic beads. In the simulation, the most efficient recovery of HT-29 cells was obtained using the smallest size of beads. Also, beads tagged with a monoclonal antibody with a higher affinity against EpCAM had a higher recovery rate. Similar results were obtained when the smallest size of beads with the highest-affinity monoclonal antibody was applied to clinical samples. The newly developed immunomagnetic beads may be useful for isolating colorectal cancer cells from feces, enabling the cytological or molecular biological diagnosis of CRC.
Political Behavior

Focusing attention upon Parnell as party dictator and chief strategist, rather than as Ireland's enigmatic hero, O'Brien gives meaning to much of Parnell's behavior that had appeared gratuitous. His famous silences, his aloofness, and inscrutability become explicable as political strategy. The book betrays some confusion as to the strategy that prevailed before 1882, and in this reviewer's opinion the author does not fully understand the New Departure in Irish politics which influenced that strategy. There is a better case than is revealed here for believing that Parnell considered a Sinn Fein revolt in 1882. After the Kilmainham agreement of May, 1882, however, the policy was to subordinate all other pursuits to that of achieving Home Rule, and from 1886 onward the tactical situation demanded an alliance with Gladstone's Liberals. Parnell's actions during the late 1880's have often been described as evidence of his irresponsible eccentricities, but they are in general defended here as conforming to the needs of the Liberal alliance during years of agrarian unrest. The tide was with Parnell and Gladstone until the divorce scandal and the subsequent threatened defection of the Nonconformists in England from the Liberal party. The situation then called for Parnell's retirement from leadership of the Irish party in order that his policies survive. Instead, "dazzled by his own myth," says the author, he chose a "tragic ending to selfeffacement," and died in 1891 exhausted by his efforts to maintain leadership. Necessarily this approach discounts the spontaneous in Parnell, but it is a healthy corrective to sentimental views of the Irish leader, and it enhances our respect for his powers. There are more pleasures for the historian in O'Brien's book than this brief summary suggests. New light is thrown on Chamberlain's relations with the Irish party, and there is a most careful exposition of the debate, both within and outside of Committee Room 15, which preceded the splitting of the party. —THOMAS N. BROWN
Manifesto for a critical realist relational sociology

In recent years, many different versions of relational sociology have appeared. In this paper, I present a critical realist version developed since 1983, which is also called ‘relational theory of society’ (CRRS). It shares with the other relational sociologies the idea of avoiding both methodological individualism and holism. The main differences lie in the way social relations are defined, the kind of reality that is attributed to them, how they configure social formations, and the way in which their changes are conceived (morphogenesis and emergence). In particular, this approach is suitable to understand how the morphogenesis of society comes about through social relations, which are the connectors that mediate between agency and social structure. The generative mechanism that feeds social morphogenesis resides in the dynamic (that is, in their ways of operating) of the social relations networks that alter the social molecule constituting structures already in place. Social morphogenesis is a form of surplus of society with respect to itself. Society increases (or decreases) its potential for surplus depending on processes of valorization (or devalorization) of social relations.
Conventional testing methods produce submaximal values of maximum oxygen consumption

Background This study used a novel protocol to test the hypothesis that a plateau in oxygen consumption (VO2max) during incremental exercise testing to exhaustion represents the maximal capacity of the cardiovascular system to transport oxygen. Methods Twenty-six subjects were randomly divided into two groups matched by their initial VO2max. On separate days, the reverse group performed (i) an incremental uphill running test on a treadmill (INC1) plus verification test (VER) at a constant workload 1 km h−1 higher than the last completed stage in INC1; (ii) a decremental test (DEC) in which speed started as same as the VER but was reduced progressively and (iii) a final incremental test (INCF). The control group performed only INC on the same days that the reverse group was tested. Results VO2max remained within 0.6 ml kg−1 min−1 across the three trials for the control group (p=0.93) but was 4.4% higher during DEC compared with INC1 (63.9±3.8 vs 61.2±4.8 ml kg−1 min−1, respectively, p=0.004) in the reverse group, even though speed at VO2max was lower (14.3±1.1 vs 16.2±0.7 km h−1 for DEC and INC1, respectively, p=0.0001). VO2max remained significantly higher during INCF (63.6±3.68 ml kg−1 min−1, p=0.01), despite an unchanged exercise time between INC1 and INCF. Conclusion These findings go against the concept that a plateau in oxygen consumption measured during the classically described INC and VER represents a systemic limitation to oxygen use. The reasons for a higher VO2 during INCF following the DEC test are unclear.
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models

We consider the task of tuning hyperparameters in SVM models based on minimizing a smooth performance validation function, e.g., smoothed k-fold cross-validation error, using non-linear optimization techniques. The key computation in this approach is that of the gradient of the validation function with respect to hyperparameters. We show that for large-scale problems involving a wide choice of kernel-based models and validation functions, this computation can be very efficiently done; often within just a fraction of the training time. Empirical results show that a near-optimal set of hyperparameters can be identified by our approach with very few training rounds and gradient computations.
--------------------------------------------------------------------------Design of MIMO-OFDM Systems Using SVD Technique

An adaptive Singular Value Decomposition (SVD) algorithm is an optimal method to obtain spatial multiplexing gain MIMO-OFDM systems. We present an orthogonal reconstruction scheme to obtain more accurate SVD outputs and then the system performance will be greatly enhanced. Moreover this project reduces high cost of implementation and high decomposing latency. Finally adaptive SVD engine is simulated in Modelsim 6.3 and synthesized in Xilinx 9.1i and implemented in Spartan 3E FPGA. Hence, the proposed reconfigurable adaptive SVD engine design is very suitable for high-throughput wireless communication applications.
Self-weighted Multiview Clustering with Multiple Graphs

In multiview learning, it is essential to assign a reasonable weight to each view according to the view importance. Thus, for multiview clustering task, a wise and elegant method should achieve clustering multiview data while learning the view weights. In this paper, we propose to explore a Laplacian rank constrained graph, which can be approximately as the centroid of the built graph for each view with different confidences. We start our work with a natural thought that the weights can be learned by introducing a hyperparameter. By analyzing the weakness of this way, we further propose a new multiview clustering method which is totally selfweighted. More importantly, once the target graph is obtained in our models, we can directly assign the cluster label to each data point and do not need any postprocessing such as K-means in standard spectral clustering. Evaluations on two synthetic datasets indicate the effectiveness of our methods. Compared with several representative graphbased multiview clustering approaches on four realworld datasets, the proposed methods achieve the better performances and our new clustering method is more practical to use.
Regionaland Interspecies Differences in Brain Progesterone Metabolism

Metabolites of [3H]progesterone were studied in slices prepared from different brain regions of male rat, mouse, and monkey. The major metabolites were 5α‐dihydroprogesterone (5α‐DHP) and 3α,5α‐tetrahydroprogesterone (3α,5α‐THP) in rat brain slices, 5α‐DHP and 20α‐ dihydroprogesterone (20α‐DHP) in mouse brain slices, and 20α‐DHP in monkey brain slices. In rat olfactory bulb slices, 5α‐DHP represented 25.2 ± 3.3% of total radioactivity and 3α,5α‐THP 17.5 ± 2.8%, whereas in rat medulla oblongata slices, 5α‐DHP was 31.3 ± 3.5% and 3α,5α‐ THP 5.4 ± 1.5% of total radioactivity. In slices from other rat brain regions, both metabolites represented 12–20% of total radioactivity. ‐The highest metabolite content in mouse brain was also detected in olfactory bulb slices, where 5α‐DHP represented 16.6 ± 4.6% and 20α‐DHP 9.5 ± 2.3% of total radioactivity. In cortical and corpus callosum slices of monkey brain, 26.8 ± 4.4% and 2.4 ± 0.5% of total radioactivity, respectively, were converted to 20α‐DHP, and less than 3% of total radioactivity could be attributed to any of the other metabolites detected. The 3α,α‐THP content in both rat and monkey brain was below 1 nM, but increased in rat brain to 6.7 ± 2.5 nM after electroshock. Endogenous 3α,5α‐THP might play an important role in the regulation of rat behavior through the modulation of GABA action on the GABAA receptor. The significant interspecies differences in the brain progesterone metabolism should be considered in evaluating the functional role of neurosteroids in various species.
Asymptotically good LDPC convolutional codes with AWGN channel thresholds close to the Shannon limit

In this paper, we perform an iterative decoding threshold analysis of LDPC block code ensembles formed by terminating (J,K)-regular and irregular AR4JA-based LDPC convolutional codes. These ensembles have minimum distance growing linearly with block length and their thresholds approach the Shannon limit as the termination factor tends to infinity. Results are presented for various ensembles and termination factors, which allow a code designer to trade-off between distance growth rate and threshold.
Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels

This paper presents an improved genetic algorithm with multiplier updating (IGA/spl I.bar/MU) to solve power economic dispatch (PED) problems of units with valve-point effects and multiple fuels. The proposed IGA/spl I.bar/MU integrates the improved genetic algorithm (IGA) and the multiplier updating (MU). The IGA equipped with an improved evolutionary direction operator and a migration operation can efficiently search and actively explore solutions, and the MU is employed to handle the equality and inequality constraints of the PED problem. Few PED problem-related studies have seldom addressed both valve-point loadings and change fuels. To show the advantages of the proposed algorithm, which was applied to test PED problems with one example considering valve-point effects, one example considering multiple fuels, and one example addressing both valve-point effects and multiple fuels. Additionally, the proposed algorithm was compared with previous methods and the conventional genetic algorithm (CGA) with the MU (CGA/spl I.bar/MU), revealing that the proposed IGA/spl I.bar/MU is more effective than previous approaches, and applies the realistic PED problem more efficiently than does the CGA/spl I.bar/MU. Especially, the proposed algorithm is highly promising for the large-scale system of the actual PED operation.
Lymphocyte-Activating Factor Independence and Cooperation with B TLR4 Promotes B Cell Maturation:

We have previously shown that TLR4 triggering promotes the generation of CD23 + CD93 + transitional T2-like cells in vitro from mouse B cell precursors, suggesting a possible role for this receptor in B cell maturation. In this study, we perform an extensive study of cell surface markers and functional properties of B cells matured in vitro with LPS, comparatively with the well-known B cell maturation factor B lymphocyte-activating factor (BAFF). LPS increased generation of CD23 + transitional B cells in a TLR4-dependent way, upregulating IgD and CD21 and downregulating CD93, without inducing cell proliferation, in a manner essentially equivalent to BAFF. For both BAFF and LPS, functional maturation of the IgM + CD23 + CD93 + cells was conﬁrmed by their higher proliferative response to anti-CD40 plus IL-4 compared with IgM + CD23 neg CD93 + cells. BAFF-R-Fc–mediated neutralization experiments showed that TLR4-induced B cell maturation was independent of BAFF. Distinct from BAFF, maturation by LPS relied on the activation of canonical NF- k B pathway, and the two factors together had complementary effects, leading to higher numbers of IgM + CD23 + CD93 + cells with their simultaneous addition. Importantly, BCR cross-linking abrogated the generation of CD23 + B cells by LPS or BAFF, indicating that signals mimicking central tolerance act on both systems. Addition of cyclosporin A reverted BCR-mediated inhibition, both for BAFF and LPS, suggesting similar regulation of signaling pathways by calcineurin. Finally, LPS-injected mice showed a rapid increase of mature B cells in the bone marrow, suggesting that TLR4 signaling may effectively stimulate B cell maturation in vivo, acting as an accessory stimulus in B cell development, complementary to the
Three-dimensional (3-D) reconstruction of the spine from a single X-ray image and prior vertebra models

The lateral bending test is routinely used by clinicians for the preoperative assessment of spinal mobility. The evaluation of bending motion is usually based on the qualitative analysis of a two-dimensional (2-D) antero-posterior X-ray image. The aim of this paper is to introduce a novel three-dimensional (3-D) reconstruction technique that is a prerequisite for the quantitative 3-D analysis of lateral bending motion. An algorithm was developed for the 3-D reconstruction of the spine from a single X-ray image. The X-ray is calibrated using a small calibration object and an explicit calibration algorithm. The information contained in the single X-ray is completed by registering a priori 3-D geometric models of individual vertebrae. Part of the error yielded by the 3-D/2-D registration is corrected by a vertebral alignment constraint that aims to minimize intervertebral dislocations. Three-dimensional models of 15 different scoliosis patients, obtained from a standard stereo-radiographic 3-D reconstruction, were used in simulation and validation experiments. Experimental results show that the new method is robust and accurate. With pessimistic levels of simulated noise, the average root mean square reconstruction error is 2.89 mm, which is appropriate for common clinical applications.
Implementation Intentions on the Effect of Salt Intake among Hypertensive Women: A Pilot Study

This experimental study was aimed at assessing the potential effect of a theory-driven intervention—implementation intentions—on reducing salt intake among hypertensive Brazilian women. Ninety-eight participants were randomly assigned to participate in an implementation intentions intervention aimed at promoting lower salt intake through decreased addition of salt and salty spices to meals (intervention group, n = 49; group, n = 49). Endpoints were assessed at baseline and at the 2-month follow-up. Primary endpoints were a self-reporting measure of salt intake given by salt addition to meals (discretionary salt + salty spices = total added salt) and the 24 h urinary-sodium excretion. Secondary endpoints included intention, self-efficacy, and habit related to adding salt to meals. Patients in the intervention group showed a significant reduction in salt intake as assessed by 24 h urinary-sodium excretion. A significant reduction in the measure of habit was observed for both groups. No differences were observed for intention and self-efficacy. The results of this pilot study suggest the efficacy of planning strategies to help hypertensive women reduce their salt intake.
A neural network learning method for belief networks

This article presents a learning method for a special class of belief networks known as noisy‐or networks. By extending the Hebbian rule of neural networks, two learning rules are developed to learn the probabilities of nodes and the internode causal strengths, respectively. The latter rule also learns structures of networks because a nonzero causal strength indicates the existence of a causal link. One distinct feature of this method is its ability to work in a sequential or incremental manner in which a network adjusts its parameters upon the arrival of every case description. As a result, this method is capable of not only constructing a causal knowledge base from a fixed set of case data but also dynamically adapting an existing knowledge base to a changing environment. To prove the convergence of learning, a Liapunov function is identified for the dynamic system defined by the learning rules. Computer experiment results show that this method is significantly faster than some existing learning methods for belief networks. © 1996 John Wiley & Sons, Inc.
Effects on cheating of achievement anxiety and knowledge of peer performance.

Cheating, operationally defined as the falsification of scores on a word construction task, was found, as predicted, to be influenced by achievement anxiety and knowledge of the performance of a peer reference group in 111 high school Ss. However, achievement anxiety was positively correlated with cheating only when-knowledge of reference group performance was provided. Likewise, providing Ss with knowledge of the reference group's superior or inferior performance elicited cheating only at high anxiety levels. The results are interpreted in terms of the general hypothesis that cheating is a response instrumental to the avoidance of aversive social comequences. The Effects on Cheating of Achievement Anxiety and Knowledge of Peer Performance Liev Shelton and John P. Hill Institute of Child Development, University of Minnesota Several recent studies implicate achievement anxiety and knowledge of the performance of successful peers in the instigation of deviant achievement responses. Gilligan (1963) found that scores on the Test Anxiety Scale for Children (Sarason, Davidson, Lighthall, Waite, 6c Ruebush, 1960) were positively associated with cheating on a ray gun game (Grinder, 1961) in which success is impossible without commission of proscribed responses. The test anxiety scores were interpreted as a measure of fear of failure and cheating was seen as a means of avoiding failure. Using the same ray gun task, Hill and Kochendorfer (in press), Shelton (1967, 1968) and Saravay (1968) have found that the incidence of cheating is greater when Ss are informed about the successful performance of peers than when they are not. Taylor and Lewit (1966) obtained similar results using a strength of grip task with adolescent boys. The Ss who were made aware of superior perfamance by a peer (actually a confederate of E) falsely inflated their scores more than did those who received no such information. Findings from these studies have led to the general hypothesis that the provision of information about successful peer performance in the presence of failure leads to
Doing 'Boards-in-Action' Research - an ethnographic approach for the capture and analysis of directors' and senior managers' interactive routines

This paper is the first of two papers which will introduce a research approach where groups of directors and senior managers have, not only been observed, but also captured interacting with each other on audio tape recordings. It represents a move from asking board members questions during interviews to seeing and hearing them interactively perform in the boardroom (and elsewhere) over a period of time. When we undertake such ethnographic research what we primarily see is directors and senior managers talking to each other. We suggest that through a close study of their talk-based interpersonal routines, a detailed account of their skills and how factors such as knowledge or know-how and experience are deployed to influence boardroom process is possible. In this first paper our objective is limited to: making a case for a focus upon talk-based interpersonal routines in the boardroom/top management team (TMT); an introductory outline of our theoretical and analytical infrastructure drawn from sociology and; reproducing one illustrative extract of directors; talk to show what this data looks like. We conclude by outlining an emerging alternative avenue for developing boards/TMTs in a grounded and reflective fashion.
Regression Tree Fields — An efficient, non-parametric approach to image labeling problems

We introduce Regression Tree Fields (RTFs), a fully conditional random field model for image labeling problems. RTFs gain their expressive power from the use of non-parametric regression trees that specify a tractable Gaussian random field, thereby ensuring globally consistent predictions. Our approach improves on the recently introduced decision tree field (DTF) model [14] in three key ways: (i) RTFs have tractable test-time inference, making efficient optimal predictions feasible and orders of magnitude faster than for DTFs, (ii) RTFs can be applied to both discrete and continuous vector-valued labeling tasks, and (Hi) the entire model, including the structure of the regression trees and energy function parameters, can be efficiently and jointly learned from training data. We demonstrate the expressive power and flexibility of the RTF model on a wide variety of tasks, including inpainting, colorization, denoising, and joint detection and registration. We achieve excellent predictive performance which is on par with, or even surpassing, DTFs on all tasks where a comparison is possible.
Identification of Elite Swimmers' Race Patterns Using Cluster Analysis

The identification of elite swimmers' race patterns at the same time is an important unresolved problem. This problem appears to be of fundamental importance for coaches in training promising elite swimmers. To address this problem, a system of cluster analysis for studying group structures on the basis of elite swimmers' race results and various available race components, such as lengths, speeds and times, is described that uses standard statistical algorithms to arrange elite swimmers according to similarity in their race patterns. The outputs are displayed graphically using tree-like dendrograms, conveying elite swimmers' race patterns in a form intuitive for coaches. As an illustration of this, we have used this method to uncover a number of key race components in connection with Ian Thorpe's race results in the men's 400m freestyle final at the Sydney 2000 Summer Olympics
A case of ridge-related re-entrant atrial tachycardia utilizing the vein of Marshall to span a conduction gap at the mitral isthmus scar.

A 41-year-old man had undergone pulmonary vein isolation and linear ablation at the roof and mitral isthmus (MI) for persistent atrial fibrillation. He subsequently experienced atrial tachycardia (AT). The activation map during the AT revealed macro-re-entrant AT with impulse propagation …