LLukas22/scidocs huggingface dataset:
MYD88 L265P is a marker highly characteristic of, but not restricted to, Waldenström’s macroglobulinemia

We evaluated the MYD88 L265P mutation in Waldenström’s macroglobulinemia (WM) and B-cell lymphoproliferative disorders by specific polymerase chain reaction (PCR) (sensitivity ∼10−3). No mutation was seen in normal donors, while it was present in 101/117 (86%) WM patients, 27/31 (87%) IgM monoclonal gammapathies of uncertain significance (MGUS), 3/14 (21%) splenic marginal zone lymphomas and 9/48 (19%) non-germinal center (GC) diffuse large B-cell lymphomas (DLBCLs). The mutation was absent in all 28 GC-DLBCLs, 13 DLBCLs not subclassified, 35 hairy cell leukemias, 39 chronic lymphocytic leukemias (16 with M-component), 25 IgA or IgG-MGUS, 24 multiple myeloma (3 with an IgM isotype), 6 amyloidosis, 9 lymphoplasmacytic lymphomas and 1 IgM-related neuropathy. Among WM and IgM-MGUS, MYD88 L265P mutation was associated with some differences in clinical and biological characteristics, although usually minor; wild-type MYD88 cases had smaller M-component (1.77 vs 2.72 g/dl, P=0.022), more lymphocytosis (24 vs 5%, P=0.006), higher lactate dehydrogenase level (371 vs 265 UI/L, P=0.002), atypical immunophenotype (CD23−CD27++FMC7++), less Immunoglobulin Heavy Chain Variable gene (IGHV) somatic hypermutation (57 vs 97%, P=0.012) and less IGHV3–23 gene selection (9 vs 27%, P=0.014). These small differences did not lead to different time to first therapy, response to treatment or progression-free or overall survival.
A transgenic Plasmodium falciparum NF54 strain that expresses GFP-luciferase throughout the parasite life cycle.

Plasmodium falciparum is the pathogenic agent of the most lethal of human malarias. Transgenic P. falciparum parasites expressing luciferase have been created to study drug interventions of both asexual and sexual blood stages but luciferase-expressing mosquito stage and liver stage parasites have not been created which has prevented the easy quantification of mosquito stage development (e.g. for transmission blocking interventions) and liver stage development (for interventions that prevent infection). To overcome this obstacle, we have created a transgenic P. falciparum NF54 parasite that expresses a GFP-luciferase transgene throughout the life cycle. Luciferase expression is robust and measurable at all life cycle stages, including midgut oocyst, salivary gland sporozoites and liver stages, where in vivo development is easily measurable using humanized mouse infections in conjunction with an in vivo imaging system. This parasite reporter strain will accelerate testing of interventions against pre-erythrocytic life cycle stages.
Zero-Shot Detection

As we move towards large-scale object detection, it is unrealistic to expect annotated training data for all object classes at sufficient scale, and so methods capable of unseen object detection are required. We propose a novel zero-shot method based on training an end-to-end model that fuses semantic attribute prediction with visual features to propose object bounding boxes for seen and unseen classes. While we utilize semantic features during training, our method is agnostic to semantic information for unseen classes at test-time. Our method retains the efficiency and effectiveness of YOLO [1] for objects seen during training, while improving its performance for novel and unseen objects. The ability of state-of-art detection methods to learn discriminative object features to reject background proposals also limits their performance for unseen objects. We posit that, to detect unseen objects, we must incorporate semantic information into the visual domain so that the learned visual features reflect this information and leads to improved recall rates for unseen objects. We test our method on PASCAL VOC and MS COCO dataset and observed significant improvements on the average precision of unseen classes.
Coverage in Wireless Sensor Networks : A Survey

Wireless Sensor Network is an emerging field which is accomplishing much importance because of its vast contribution in varieties of applications. Wireless Sensor Networks are used to monitor a given field of interest for changes in the environment. Coverage is one of the main active research interests in WSN.In this paper we aim to review the coverage problem In WSN and the strategies that are used in solving coverage problem in WSN.These strategies studied are used during deployment phase of the network. Besides this we also outlined some basic design considerations in coverage of WSN.We also provide a brief summary of various coverage issues and the various approaches for coverage in Sensor network. Keywords— Coverage; Wireless sensor networks: energy efficiency; sensor; area coverage; target Coverage.
A measurement study of Napster and Gnutella as examples of peer-to-peer file sharing systems

In this paper, we present and analyze an extensive measurement study of Napster and Gnutella.
Thermal ablation of tumours: biological mechanisms and advances in therapy

Minimally invasive thermal ablation of tumours has become common since the advent of modern imaging. From the ablation of small, unresectable tumours to experimental therapies, percutaneous radiofrequency ablation, microwave ablation, cryoablation and irreversible electroporation have an increasing role in the treatment of solid neoplasms. This Opinion article examines the mechanisms of tumour cell death that are induced by the most common thermoablative techniques and discusses the rapidly developing areas of research in the field, including combinatorial ablation and immunotherapy, synergy with conventional chemotherapy and radiation, and the development of a new ablation modality in irreversible electroporation.
Climatic factors influencing dengue cases in Dhaka city: A model for dengue prediction

BACKGROUND & OBJECTIVES
Transmission of dengue virus depends on the presence of Aedes mosquito. Mosquito generation and development is known to be influenced by the climate. This study was carried out to examine whether the climatic factors data can be used to predict yearly dengue cases of Dhaka city, Bangladesh.


METHODS
Monthly reported dengue cases and climate data for the years 2000-2008 were obtained from the Directorate General of Health Services (DGHS) and Meteorological Department of Dhaka, Bangladesh, respectively. Data for the period 2000 to 2007 were used for development of a model through multiple linear regressions. Retrospective validation of the model was done with 2001, 2003, 2005 and 2008 data. Log transformation of the dependent variable was done to normalize data for linear regression. Average monthly humidity, rainfall, minimum and maximum temperature were used as independent variables and number of dengue cases reported monthly was used as dependent variable. Accuracy of the model for predicting outbreak was assessed through receiver operative characteristics (ROC) curve.


RESULTS
Climatic factors, i.e. rainfall, maximum temperature and relative humidity were significantly correlated with monthly reported dengue cases. The model incorporating climatic data of two-lag month explained 61 per cent of variation in number of reported dengue cases and this model was found to predict dengue outbreak (≥ 200 cases) with considerable accuracy [area under ROC curve = 0.89, 95%CI = (0.89-0.98)].


INTERPRETATION & CONCLUSIONS
Our results showed that the climate had a major effect on the occurrence of dengue infection in Dhaka city. Though the prediction model had some limitations in predicting the monthly number of dengue cases, it could forecast possible outbreak two months in advance with considerable accuracy.
Materializing Six Years : Lucy R. Lippard and the Emergence of Conceptual Art

"In 1973 the critic and curator Lucy R. Lippard published Six Years, a book with possibly the longest subtitle in the bibliography of art: The dematerialization of the art object from 1966 to 1972: a cross-reference book of information on some esthetic boundaries: consisting of a bibliography into which are inserted a fragmented text, art works, documents, interviews, and symposia, arranged chronologically and focused on so-called conceptual or information or idea art with mentions of such vaguely designated areas as minimal, anti-form, systems, earth, or process art, occurring now in the Americas, Europe, England, Australia, and Asia (with occasional political overtones) edited and annotated by Lucy R. Lippard. Six Years, sometimes referred to as a conceptual art object itself, not only described and embodied the new type of art-making that Lippard was intent on identifying and cataloging, it also exemplified a new way of criticizing and curating art. Nearly forty years later, the Brooklyn Museum takes Lippard's celebrated experiment in curated concatenation as a template, turning a book that resembled an exhibition into an exhibition materializing the ideas in her book. The artworks and essays featured in this publication recall the thrill that was tangible in Lippard's original documentation, reminding us that during the late sixties and early seventies all possible social and material parameters of art (making) were played with, worked over, inverted, reduced, expanded, and rejected. By tracing Lippard's own activities in those years, the book also documents the early blurring of boundaries among critical, curatorial, and artistic practices. With more than 200 images of work by dozens of artists (printed in color throughout), this book brings Lippard's curatorial experiment full circle" -- p. [4] of cover.
Support vector machine classification and validation of cancer tissue samples using microarray expression data

MOTIVATION
DNA microarray experiments generating thousands of gene expression measurements, are being used to gather information from tissue and cell samples regarding gene expression differences that will be useful in diagnosing disease. We have developed a new method to analyse this kind of data using support vector machines (SVMs). This analysis consists of both classification of the tissue samples, and an exploration of the data for mis-labeled or questionable tissue results.


RESULTS
We demonstrate the method in detail on samples consisting of ovarian cancer tissues, normal ovarian tissues, and other normal tissues. The dataset consists of expression experiment results for 97,802 cDNAs for each tissue. As a result of computational analysis, a tissue sample is discovered and confirmed to be wrongly labeled. Upon correction of this mistake and the removal of an outlier, perfect classification of tissues is achieved, but not with high confidence. We identify and analyse a subset of genes from the ovarian dataset whose expression is highly differentiated between the types of tissues. To show robustness of the SVM method, two previously published datasets from other types of tissues or cells are analysed. The results are comparable to those previously obtained. We show that other machine learning methods also perform comparably to the SVM on many of those datasets.


AVAILABILITY
The SVM software is available at http://www.cs. columbia.edu/ approximately bgrundy/svm.
Developing optofluidic technology through the fusion of microfluidics and optics

We describe devices in which optics and fluidics are used synergistically to synthesize novel functionalities. Fluidic replacement or modification leads to reconfigurable optical systems, whereas the implementation of optics through the microfluidic toolkit gives highly compact and integrated devices. We categorize optofluidics according to three broad categories of interactions: fluid–solid interfaces, purely fluidic interfaces and colloidal suspensions. We describe examples of optofluidic devices in each category.
Jitter Amplification Characterization of Passive Clock Channels at 6.4 and 9.6 Gb/s

Jitter amplification characteristics of different forwarded clock channels at 6.4 and 9.6 Gb/s are illustrated with model correlations. The effect illustrates the need for quarter rate clocking at higher speed, in lossy serial links
Energy Saving in Automotive E / E Architectures

Reducing electrical energy consumption in the complex E/E-architectures of modern passenger vehicles has increasingly been a topic for discussion over the last couple of years. Most of the electronic functionality is not in constant use while the car is operational. Therefore it is obvious that either entire ECUs or some functionality within one ECU can be deactivated temporarily. Partial networking, a more radical approach to power saving, introduces partially deactivated nodes into given E/E networks. This functionality requires new bus transceiver devices decoupling a node from an active bus with selective wake capability. The implementation of those devices in the CAN branches of forthcoming vehicle networks is currently in preparation at some carmakers. Usage in further automotive bus systems (LIN, FlexRay, Ethernet) will follow later. Nodes which cannot temporarily reply to a request from another node would usually lead to a network error. Communication and error handling of the entire network needs to be adapted to this new situation, and proper mechanisms need to be implemented to deal with deactivated nodes. Therefore some carmakers have looked for smoother methods of managing temporarily deactivated nodes without impacting other ECUs in a given network. AUTOSAR concepts of ECU degradation and pretended networking target this aim. ECU degradation uses simple mechanisms to enable the AUTOSAR stack to save power, while pretended networking assists network operations to continue to run. Both mechanisms, working together, enable applications to save power and keep network operations running while facilitating fast ECU wake-up times. This paper briefly introduces these different methods and respective implementations in semiconductor devices. At the end of the paper, there is a calculation based on some realistic assumptions, what kind of savings could be achieved assuming these methods will be comprehensively introduced in vehicle architectures.
FINDING ALL THE SOLUTIONS OF CYCLIC 9 USING GRÖBNER BASIS TECHNIQUES

We show how computer algebra methods based on Groebner basis computation and implemented in the program FGb enable us to compute all the solution of the Cyclic $9$ problem a previously untractable problem. There are one type of infinite solutions of dimension two and 6156 isolated points without multiplicities.
Optimal Fuzzy Logic EMS design for residential grid-connected microgrid with hybrid renewable generation and storage

This paper presents the design of an optimal Energy Management System (EMS) based on a Fuzzy Logic Controller (FLC) for a residential grid-connected microgrid with hybrid renewable generation (wind, photovoltaic) and storage system. The aim of the fuzzy EMS design is to minimize the grid fluctuations and to preserve the storage system lifetime. The proposed EMS uses a FLC to anticipate the appropriate value of the grid power regarding the microgrid energetic rate-of-change and the battery State-of-Charge (SOC). The performance of the proposed EMS is verified through numerical simulations using real data provided by Public University of Navarre's (UPNa) microgrid. The simulation results have demonstrated the proper behavior of the proposed fuzzy EMS, since a low-frequency grid power profile with minimum fluctuations is achieved.
Integrated Multifunctional Nanosystems for Medical Diagnosis and Treatment

This article provides an overview on the development of integrated multifunctional nanosystems for medical diagnosis and treatment. In particular, a novel system is developed specifically for achieving simultaneous diagnosis and treatment of cancer. Critical issues are addressed on the architecture and assembly of nanocomponents based on medical requirements: targeted in vivo imaging, controlled drug release, localized hyperthermia, and toxicity. Nanotube-based carriers are summarized with surface functionalized properties. Other types of nanocarriers are also included such as super paramagnetic composite nanospheres and biodegradable hydroxylapatite nanoparticles. In addition, polymeric-based nanosystems are introduced with several novel features: they can be biodissolved due to environmental pH and temperature fluctuations. The nanocarriers are surface tailored with key functionalities: surface antibodies for cell targeting, anti-cancer drug loading, and magnetic nanoparticles for both hyperthermia and MRI. Future requirements, aims, and trends in the ith intelligent
Catastrophic failure of a Boston Scientific Artisan spinal cord stimulator.

To the Editor: INTRODUCTION The most common reasons for revision or removal of permanent spinal cord stimulator leads are infection and mechanical failure. Most mechanical failures involve displacement of an intact lead or a fracture of the wires within one or both electrodes. This is the report of a case of catastrophic failure of a paddle lead. The implications regarding certain fixation techniques and the information that is lacking in the literature will be discussed.
IMPROVEMENT IN SALT TOLERANCE OF MAIZE BY EXOGENOUS APPLICATION OF GLYCINEBETAINE: GROWTH AND WATER RELATIONS

Effect of exogenous glycinebetaine (0, 50, and 100 mM) applied at different growth stages i.e., vegetative, reproductive and both at the vegetative and reproductive stages on growth and water relations was assessed in the plants of two maize cultivars, Golden and C-20 under salt stress. Salt stress impaired growth by reducing plant fresh and dry biomass of both maize cultivars. Imposition of salt stress also had adverse effects on leaf water potential, leaf osmotic potential and leaf turgor potential. However, salt induced reduction in growth of both maize cultivars was ameliorated by exogenously applied GB. Furthermore, GB applied at the vegetative growth stage was more effective in ameliorating the adverse effects of salt stress on both maize cultivars than when applied at the reproductive stage or at both the vegetative and reproductive growth stages. Leaf water potential and leaf turgor potential of the salt stressed plants of both cultivars were increased due to foliar application of GB. The ameliorative effect of GB on growth of both maize cultivars under saline conditions was due to GB-induced improvement in plant water status. The adverse effects of salt stress on maize can be alleviated by the exogenous application of GB at different growth stages by modulating water relations.
Quality of life, depression, anxiety and loneliness in patients with
bullous pemphigoid. A case control study*

Background:
Bullous pemphigoid (BP) is a chronic, autoimmune blistering skin disease that affects patients' daily life and psychosocial well-being.


Objective:
The aim of the study was to evaluate the quality of life, anxiety, depression and loneliness in BP patients.


Methods:
Fifty-seven BP patients and fifty-seven healthy controls were recruited for the study. The quality of life of each patient was assessed using the Dermatology Life Quality Index (DLQI) scale. Moreover, they were evaluated for anxiety and depression according to the Hospital Anxiety Depression Scale (HADS-scale), while loneliness was measured through the Loneliness Scale-Version 3 (UCLA) scale.


Results:
The mean DLQI score was 9.45±3.34. Statistically significant differences on the HADS total scale and in HADS-depression subscale (p=0.015 and p=0.002, respectively) were documented. No statistically significant difference was found between the two groups on the HADS-anxiety subscale. Furthermore, significantly higher scores were recorded on the UCLA Scale compared with healthy volunteers (p=0.003).


Conclusion:
BP had a significant impact on quality of life and the psychological status of patients, probably due to the appearance of unattractive lesions on the skin, functional problems and disease chronicity.
Kinetics of cobalt oxidation in solvent extraction by 8-quinolinol and Kelex 100

Abstract During solvent extraction by 8-quinolinol and Kelex 100, Co(II) chelates are irreversibly oxidized, by atmospheric oxygen, to Co(III) chelates which are poorly strippable. This oxidation which is first order with respect to Co(II) is influenced by organic phase features: Strong donor compounds stabilize Co(II) by formation of mixte complexes and considerably reduce the oxidation rate, the order of efficiency being: octanol Acidic compounds also stabilize Co(II), the order of efficiency being: “VERSATIC” 10 = acetic acid = benzoic acid
Finding Unknown Malice in 10 Seconds: Mass Vetting for New Threats at the Google-Play Scale

An app market’s vetting process is expected to be scalable and effective. However, today’s vetting mechanisms are slow and less capable of catching new threats. In our research, we found that a more powerful solution can be found by exploiting the way Android malware is constructed and disseminated, which is typically through repackaging legitimate apps with similar malicious components. As a result, such attack payloads often stand out from those of the same repackaging origin and also show up in the apps not supposed to relate to each other. Based upon this observation, we developed a new technique, called MassVet, for vetting apps at a massive scale, without knowing what malware looks like and how it behaves. Unlike existing detection mechanisms, which often utilize heavyweight program analysis techniques, our approach simply compares a submitted app with all those already on a market, focusing on the difference between those sharing a similar UI structure (indicating a possible repackaging relation), and the commonality among those seemingly unrelated. Once public libraries and other legitimate code reuse are removed, such diff/common program components become highly suspicious. In our research, we built this “DiffCom” analysis on top of an efficient similarity comparison algorithm, which maps the salient features of an app’s UI structure or a method’s control-flow graph to a value for a fast comparison. We implemented MassVet over a stream processing engine and evaluated it nearly 1.2 million apps from 33 app markets around the world, the scale of Google Play. Our study shows that the technique can vet an app within 10 seconds at a low false detection rate. Also, it outperformed all 54 scanners in VirusTotal (NOD32, Symantec, McAfee, etc.) in terms of detection coverage, capturing over a hundred thousand malicious apps, including over 20 likely zero-day malware and those installed millions of times. A close look at these apps brings to light intriguing new observations: e.g., Google’s detection strategy and malware authors’ countermoves that cause the mysterious disappearance and reappearance of some Google Play apps.
Autonomous Fruit Picking Machine: A Robotic Apple Harvester

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt età la diffusion de documents scientifiques de niveau recherche, publiés ou non, ´ emanant desétablissements d'enseignement et de recherche français oú etrangers, des laboratoires publics ou privés. Summary. This paper describes the construction and functionality of an Autonomous Fruit Picking Machine (AFPM) for robotic apple harvesting. The key element for the success of the AFPM is the integrated approach which combines state of the art industrial components with the newly designed flexible gripper. The gripper consist of a silicone funnel with a camera mounted inside. The proposed concepts guarantee adequate control of the autonomous fruit harvesting operation globally and of the fruit picking cycle particularly. Extensive experiments in the field validate the functionality of the AFPM.