Miracle-dz/UniFAR-FTUs huggingface dataset:
Principle and evolving role of intraperitoneal chemotherapy in ovarian cancer

Introduction: Intraperitoneal (i.p.) chemotherapy has been extensively studied in the ovarian cancer field. Despite the fact that three large randomized trials that were conducted in the United States showed survival benefit, meta-analysis also showed survival benefit and the National Cancer Institute (NCI) released a clinical announcement recommending i.p. chemotherapy for optimally debulked advanced stage ovarian cancer in 2006, i.p. chemotherapy has not been widely accepted by the gynecologic oncology community, mainly because of its toxicities. Areas covered: In this review, previously available evidence, new evidence published since the NCI clinical announcement and ongoing clinical trials will be discussed. Expert opinion: Three currently ongoing randomized Phase III trials will provide extremely important information about whether a less toxic i.p. regimen using carboplatin will be beneficial for patients with advanced ovarian cancer. They are important because it may be possible to solve many of the questions or unmet needs in i.p. chemotherapy by combining these three trials.
A Method for Purification and Viral Inactivation of Human Placenta Hemoglobin

For pilot-scale manufacturing of hemoglobin-based oxygen carrying drugs, we should get highly pure and viral inactivated hemoglobin (Hb) at high recovery. In our method, placenta hemoglobin (PHb) solutions were purified by heating in the presence of reducing agent and deoxygenating conditions so that heat-sensitive proteins were selectively precipitated and virus was inactivated. The optimum preparative condition resulted in highly purified PHb solution (>99% pure) with approximate 90% recovery and less than 2% of MetHb content, maintained oxygen carrying capacity, residual phospholipids less than 1 ppm, free of endotoxin, bacteria, type A&B antigens and virus. Finally, we compared the efficacy of blood exchange on rat with poly-PHb and poly-Hb from adult blood. The results showed no significant difference between two products. Therefore, the placenta Hb obtained from this method could be supplied as materials for oxygen carrying drugs.
Human Papilloma Virus (HPV) E7-Mediated Attenuation of Retinoblastoma (Rb) Induces hPygopus2 Expression via Elf-1 in Cervical Cancer

The human papillomavirus (HPV) is the etiologic agent of cervical cancer. In this study, we provide evidence for the human Pygopus (hPygo)2 gene as a cellular biomarker for HPV-related disease. In a tumor microarray of cervical cancer progression, hPygo2 levels were greater in high-grade lesions and squamous cell carcinomas than in normal epithelia. Similarly, hPygo2 mRNA and protein levels were greater in HPV-positive cervical cancer cells relative to uninfected primary cells. RNA interference (RNAi)-mediated depletion of HPV-E7 increased whereas E74-like factor (Elf)-1 RNAi decreased association of Retinoblastoma (Rb) tumor suppressor with the hPygo2 promoter in cervical cancer cell lines. Transfection of dominant-active Rb inhibited Elf-1-dependent activation of hPygo2, whereas Elf-1 itself increased hPygo2 expression. Chromatin immunoprecipitation assays showed that Rb repressed hPygo2 by inhibiting Elf-1 at the Ets-binding site in the hPygo2 promoter. These results suggested that abrogation of Rb by E7 resulted in derepression of Elf-1, which in turn stimulated expression of hPygo2. Thus, initiation of hPygo2 expression by Elf-1 was required for proliferation of cervical cancer cells and its expression therefore may act as a surrogate marker for dysplasia. Mol Cancer Res; 11(1); 19–30. ©2012 AACR.
Fidelity metrics for estimation models

Estimation models play a vital role in many aspects of day to day life. Extremely complex estimation models are employed in the design space exploration of SoCs, and the efficacy of these estimation models is usually measured by the absolute error of the models compared to known actual results. Such absolute error based metrics can often result in over-designed estimation models, with a number of researchers suggesting that fidelity of an estimation model (correlation between the ordering of the estimated points and the ordering of the actual points) should be examined instead of, or in addition to, the absolute error. In this paper, for the first time, we propose four metrics to measure the fidelity of an estimation model, in particular for use in design space exploration. The first two are based on two well known rank correlation coefficients. The other two are weighted versions of the first two metrics, to give importance to points nearer the Pareto front. The proposed fidelity metrics range from −1 to 1, where a value of 1 reflects a perfect positive correlation while a value of −1 reflects a perfect negative correlation. The proposed fidelity metrics were calculated for a single processor estimation model and a multiprocessor estimation model to observe their behavior, and were compared against the models' absolute error. For the multiprocessor estimation model, even though the worst average and maximum absolute error of 6.40% and 16.61% respectively can be considered reasonable in design automation, the worst fidelity of 0.753 suggests that the multiprocessor estimation model may not be as good a model (compared to an estimation model with same or higher absolute errors but a fidelity of 0.95) as depicted by its absolute accuracy, leading to an over-designed estimation model.
Estimation of object inertia parameters on robot pushing operation

This paper proposes a technique that can estimate the inertia parameters of a graspless unknown object, which is pushed by robot fingers. Using the fingertip different accelerations (or angular accelerations), velocities (or angular velocities) and forces information measured in pushing operations, the algorithms to estimate the object mass (or moment of inertia) are described. Then, a line called C.M. Line, is defined in this paper. The line contains the center of mass and is between two fingertips which are in point-contact with an object side. By using two or more than two orientation-different C.M. lines, an algorithm to estimate the center of mass of the object is given. Lastly, experimental verification on the proposed approach is performed and its results are outlined.
Management of indoxacarb poisoning in a regional setting

Sir, A 23-year-old male was admitted in our emergency room 3 h after suicidal ingestion of about 50 ml of unknown insecticide. His medical and family histories were negative for hereditary disorders. The patient was feeling lethargic and headache. On examination, he had stable vital signs. The heart and lung sounds were normal on auscultation. The skin and nail beds were grayish colored that did not respond to supplemental oxygen therapy. His oxygen saturation on pulse oximetry was 86% despite 6 L/min of supplemental oxygen. An arterial blood sample was obtained that appeared to be a dark brown color. The arterial blood gas (ABG) sample showed a pH of 7.37, an arterial oxygen pressure (PO2) of 129 mm Hg, a PCO2 of 44 mm Hg, bicarbonate of 24.9 mmol/L, and an oxygen saturation of 90%. His findings were suggestive for methemoglobinemia. The patient’s relatives brought the poison container about 4 h after admission; and it was indoxacarb, an oxadiazine insecticide.
Pertussis in Poland.

BACKGROUND Since 1997, an unexpected 2-5-fold increase in the incidence of pertussis has been reported in Poland in comparison with the previous 10 years, although the introduction of the diphtheria-tetanus-pertussis (DTP) vaccination in 1960 reduced the incidence of pertussis approximately 100-fold in the 1980s. The aim of the study was to analyse all available data on pertussis in Poland to identify the risks associated with its re-emergence. METHODS Available data on notification, incidence, mortality, hospitalization, geographical distribution, incidence according to age, and diagnosis of pertussis were collected from national surveillance monographs and statistically evaluated. RESULTS Analyses performed in the study found two periods of rising and falling trends: in the incidence before and after 1989, respectively. Moreover, after 1989, the age-specific incidence among children aged 0-4 years decreased, and among 5-9, 10-14, and 15-19 year olds increased in comparison to the previous decade. The incidence rate of pertussis among infants was similar in both decades analysed. Clustering of pertussis incidence increase in provinces along a line from North East to South West was observed. CONCLUSIONS As vaccination coverage did not decrease and diagnostics have not been improved since the 1980s, it is possible that waning immunity and the appearance of Bordetella pertussis vaccine escape mutants are involved in the changing pertussis epidemiological parameters. Further monitoring studies, together with improving diagnostics, might allow more precise epidemiological data to be obtained. An additional booster dose of acellular pertussis vaccine at age 6 years has been included in the current vaccination schedule.
From development to evolution: the re-establishment of the "Alexander Kowalevsky Medal".

The Saint Petersburg Society of Naturalists has reinstated the Alexander O. Kowalevsky Medal. This article announces the winners of the first medals and briefly reviews the achievements of A.O. Kowalevsky, the Russian comparative embryologist whose studies on amphioxus, tunicates and germ layer homologies pioneered evolutionary embryology and confirmed the evolutionary continuity between invertebrates and vertebrates. In re-establishing this international award, the Society is pleased to recognize both the present awardees and the memory of Kowalevsky, whose work pointed to that we now call evolutionary developmental biology.
Long-lasting sport practice and lone atrial fibrillation.

AIMS To analyse whether the proportion of patients with lone atrial fibrillation engaged in chronic sport practice was higher than that observed in the general population. METHODS AND RESULTS The records of 1160 patients, seen at the arrhythmia outpatient clinic, were reviewed. A total of 70 patients (6%) suffered lone atrial fibrillation and were younger than 65 years. Thirty two of them had been engaged in long-term sport practice. All patients in the sport group were men as compared to only 50% in the sedentary group (P<0 x 0001). To avoid the confounding effect of sex distribution, women were excluded. Sportsmen started their episodes of atrial fibrillation at a younger age, they had a lower incidence of mild hypertension and their episodes of atrial fibrillation were predominantly vagal in contrast to the sedentary patients. The echocardiographic parameters were similar to those observed in the sedentary patients, but when compared with 20 healthy controls, they showed greater atrial and ventricular dimensions and a higher ventricular mass. The proportion of sportsmen among patients with lone atrial fibrillation is much higher than that reported in the general population of Catalonia: 63% vs 15% (P<0 x 05). CONCLUSION Long-term vigorous exercise may predispose to atrial fibrillation.
Self-calibration of a mobile manipulator using structured light

Rising automation requirements in manufacturing lead to an increasing demand for robot self-calibration. Self-calibration becomes a challenging task for mobile robots since the environment is dynamic, at least from the perspective of moving robots. This paper proposes a new self-calibration method by tracking the end-effector with the help of a head-mounted projector (see Fig. 1). Pseudorandom coded light is projected into the environment and single images are decoded. The pattern consists of checkerboard-like corner-primitives, which are detected by a camera-pair, mounted on the robot base. Triangulation yields the primitives' positions. The projector can be described as an inverse camera model, so its pose is determinable by taking the primitive points as reference. The extrinsic hand-projector and camera-robot transformations are given by the commonly known formula AX = ZB. Further optimization and the incorporation of the joint parameters allow the calibration of the manipulator. Self-calibration means that no sort of calibration object like a checkerboard is needed. Since the decoding is applied to single images, the environment is permitted to change, and the robot is allowed to move around freely during calibration. Experimental results of this method show a submillimeter accuracy of the proposed projector tracking as well as improvements of the robot's accuracy in its typical workspace.
Design process and preliminary psychometric study of a video game to detect cognitive impairment in senior adults

Introduction Assessment of episodic memory has been traditionally used to evaluate potential cognitive impairments in senior adults. Typically, episodic memory evaluation is based on personal interviews and pen-and-paper tests. This article presents the design, development and a preliminary validation of a novel digital game to assess episodic memory intended to overcome the limitations of traditional methods, such as the cost of its administration, its intrusive character, the lack of early detection capabilities, the lack of ecological validity, the learning effect and the existence of confounding factors. Materials and Methods Our proposal is based on the gamification of the California Verbal Learning Test (CVLT) and it has been designed to comply with the psychometric characteristics of reliability and validity. Two qualitative focus groups and a first pilot experiment were carried out to validate the proposal. Results A more ecological, non-intrusive and better administrable tool to perform cognitive assessment was developed. Initial evidence from the focus groups and pilot experiment confirmed the developed game’s usability and offered promising results insofar its psychometric validity is concerned. Moreover, the potential of this game for the cognitive classification of senior adults was confirmed, and administration time is dramatically reduced with respect to pen-and-paper tests. Limitations Additional research is needed to improve the resolution of the game for the identification of specific cognitive impairments, as well as to achieve a complete validation of the psychometric properties of the digital game. Conclusion Initial evidence show that serious games can be used as an instrument to assess the cognitive status of senior adults, and even to predict the onset of mild cognitive impairments or Alzheimer’s disease.
A Precoded OFDMA System with User Cooperation

A new cooperative scheme for a two-user orthogonal frequency division multiple access (OFDMA) uplink communication scenario is proposed. Each user is equipped with one transmit/receive antenna. Before transmission, inter-block linear precoding is introduced to pairs of blocks. The cooperative transmission is implemented in cycles of three time slots. During each slot, a user transmits either his data, or a weighted mixture of his data and the data that he received in previous slots of the same cycle. The weights are obtained in an optimum fashion, so that a user that faces deep fading on certain subcarriers can benefit from the other user's channel, without taxing significantly the resources of that user. It is shown that the proposed scheme achieves the maximum available diversity for both users (full cooperation), or for the weak user (half cooperation) without increasing the number of antennas needed as compared to an energy-equivalent noncooperative OFDMA system that also uses inter-block precoding. Further, the proposed use of inter-block precoding allows one to exploit the cooperation induced diversity in 1.5 slots on the average; 2 slots would be needed if intra-block precoding was used instead.
Shared Decision Making

Mit dem Pilotprojekt „Bayern goes SDM“ verfolgt Bayern die systematische Implementierung von Shared Decision Making (SDM), um die Versorgungsqualität, das Behandlungsergebnis und nicht zuletzt die Patientenzufriedenheit zu verbessern. Mit der Implementierung von SDM will das Bayerische Zentrum für Krebsforschung (BZKF) Patient*innen und Ärzt*innen in der Therapieentscheidungsfindung unterstützen.
Haptic rendering techniques for the interactive exploration of CFD datasets in virtual environments

In pure CFD visualization tools, some flow features are hard to visualize such as the properties of a local flow probe. Haptic rendering techniques offer an intuitive understanding and allow more detailed insights than the visual perception solely. In our application framework ViSTA FlowLib for the interactive visualization and exploration of unsteady flows in virtual environments we implemented haptic rendering techniques as an add-on feature for the commonly used visualization algorithms for scalar and vector fields. We extended the ideas of Pao and Lawrence and developed new promising techniques.
Service Topic Model with Probability Distance

The number of Web services are growing rapidly on the Internet. Topics of services are becoming various. Semantic-based keyword search is used to retrieve proper services for service consumers. According to the semantic information implied in service database, we build a topic model to cluster and management related services. Our service recommendation approach can extract service patterns from correlated topics in semantic service descriptions. We use Latent Dirichlet Allocation to obtain the service patterns, and use Concept lattice to model the correlation between the extracted topics. Higher precision results are obtained in the experiments.
Factorized Multi-Modal Topic Model

Multi-modal data collections, such as corpora of paired images and text snippets, require analysis methods beyond single-view component and topic models. For continuous observations the current dominant approach is based on extensions of canonical correlation analysis, factorizing the variation into components shared by the different modalities and those private to each of them. For count data, multiple variants of topic models attempting to tie the modalities together have been presented. All of these, however, lack the ability to learn components private to one modality, and consequently will try to force dependencies even between minimally correlating modalities. In this work we combine the two approaches by presenting a novel HDP-based topic model that automatically learns both shared and private topics. The model is shown to be especially useful for querying the contents of one domain given samples of the other.
Culture Wars: The Struggle To Define America

Introduction * PrologueStories from the Front * Cultural Conflict in America * The Anatomy of Cultural Conflict The New Lines Of Conflict * The Historical Roots of the Culture War * Competing Moral Visions Cultural Warfare * Discourse of Adversaries * The Technology of Public Discourse The Fields Of Conflict * Opening Observations * Family * Education * Media and the Arts * Law * Electoral Politics * Parting Observations Toward Resolution * Moral Pluralism and the Democratic Ideal * Epilogue
Windows to the Brain: Insights From Neuroimaging

Foreword. Preface. Imaging Technique. Blood flow imaging of the brain: 50 years' experience. Functional magnetic resonance imaging: application to posttraumatic stress disorder. Ecstasy in the brain: a model for neuroimaging. The future for diffusion tensor imaging in neuropsychiatry. Cortical inhibition in alcohol dependence. Application of magnetoencephalography to the study of autism. Applications of xenon computed tomography in clinical practice: detection of hidden lesions. New techniques for understanding Huntington's disease. Specific Diseases. Sudden onset panic: epileptic aura or panic disorder? Bipolar disorder: imaging state versus trait. Blast-related traumatic brain injury: what is known? Mild traumatic brain injury: neuroimaging of sports-related concussion. Traumatic axonal injury: novel insights into evolution and identification. Functional imaging as a window to dementia: corticobasal degeneration. Metachromatic leukodystrophy: a model for the study of psychosis. Identification of HIV-associated progressive multifocal leukoencephalopathy: magnetic resonance imaging and spectroscopy. The expanding role of imaging in prion disease. Applications of functional imaging to carbon monoxide poisoning. Binswanger's disease: an ongoing controversy. Normal pressure hydrocephalus: significance of magnetic resonance imaging in a potentially treatable dementia. Neuropsychiatric presentation of multiple sclerosis. Anatomy and Circuitry. Functional neuroanatomy of sleep and sleep deprivation. Neural underpinnings of fear and its modulation: implications for anxiety disorders. Rabies and the cerebellum: new methods for tracing circuits in the brain. Conversion hysteria: lessons from functional imaging. The limbic thalamus. Understanding emotion regulation in borderline personality disorder: contributions of neuroimaging. Functional anatomy of central pain. An update on estrogen: higher cognitive function, receptor mapping, neurotrophic effects. Treatment. Predicting treatment response in obsessive-compulsive disorder. Schizophrenia: what's under the microscope? Surgical treatment of mental illness: impact of imaging. Index.
Network market analysis using large scale social network conversation of Indonesia's fast food industry

The high competitiveness of the Indonesia Fast Food market has forced the industry to find the new way to understand market behavior. The new challenge should include faster data collection and analytical process, preferably time delivery needed close to real-time. The common practice of gathering market data using questionnaires and interviews are considered expensive and time-consuming process compared to mining online conversation with brand community respected. With the availability of large-scale data from online social network services (oSNS), we can extract valuable information represent dynamic behavior of the market. Many brands have their presence in oSNS as a part of their customer relationship management (CRM) effort. The social interactions formed in oSNS can be modeled using Social Network Analysis (SNA) methodology. In this paper, we compare two brand communities of head to head competitive product in the fast food industry, they are McDonald's and Burger King. The SNA model constructs large-scale network, its size, reaching close to a million of nodes and edges. The result will give us insight about what is important in understanding the dynamic market beside the market size represented by the community conversations.