Miracle-dz/UniFAR-FTUs huggingface dataset:
SVM-based Protein-Protein Interaction Extraction from Medline abstracts

Nowadays, protein-protein interaction (PPI) extraction has become a research focus. Many methods have been applied to this domain, such as supervised learning approaches. This paper applied support vector machine (SVM) to extract PPI, which bases on several lexical features and one syntactic feature achieved through link grammar parser. Due to syntax's complexity different sentence structure can not have the same parse tree, which leads to the data sparseness problem here. In order to solve the sparseness problem, syntactic feature is used in a simple way. This special syntactic feature helps to improve F-score nearly five percentage points in supervised learning approach.
Free space detection using active contours in omnidirectional images

Omnidirectional catadioptric cameras offer a large field of view and a complete information about the world surrounding the robot. In this paper, we describe a method to perform a fast and robust extraction of the omnidirectional free space using active contour models. The extracted free space could help the robot in real time navigation and environment exploration tasks. The presented approach will be compared to classical active contour methods usually applied to object segmentation. Some comparative results achieved in indoor and outdoor environments are shown to validate the approach.
Histological Evaluation and Management of Rare Case of Supernumerary “Ghost” Teeth

Supernumerary teeth are teeth that exceed the normal dental formula. Their prevalence in the permanent dentition is 1–14% and they occur more frequently in maxilla with a sex ratio of 2 : 1 in favor of males. They are often associated with syndromes but there are examples of nonsyndromic multiple supernumerary teeth reported in the literature. CBCT is usually the best exam for radiographic diagnosis and treatment planning, because it provides 3D information about location and morphology of supernumerary teeth. This paper reports a rare case of four supernumerary teeth in a nonsyndromic 9-year-old boy. The peculiarity of this case is that two more exceeding teeth were found during surgical procedure. After extraction, all the teeth underwent a histological undecalcified processing for light microscopical examination. The two “ghost” supernumerary teeth seemed to be primordial dental germs, possibly resulting from an altered odontogenic process. After supernumerary teeth extraction, X-rays and exfoliation monitoring are recommended, since permanent retained teeth often erupt naturally or, at least, improve their condition. Radiographic follow-up is also useful in order to assess the formation of further teeth due to the hyperactivity of the dental lamina.
Mayday-a microarray data analysis workbench

UNLABELLED Mayday is a workbench for visualization, analysis and storage of microarray data. It features a graphical user interface and supports the development and integration of existing and new analysis methods. Besides the infrastructural core functionality, Mayday offers a variety of plug-ins, such as various interactive viewers, a connection to the R statistical environment, a connection to SQL-based databases and different data mining methods, including WEKA-library based methods for classification and various clustering methods. In addition, so-called meta information objects are provided for annotation of the microarray data allowing integration of data from different sources, which is a feature that, for instance, is employed in the enhanced heatmap visualization. SUPPLEMENTARY INFORMATION The software and more detailed information including screenshots and a user guide as well as test data can be found on the Mayday home page http://www.zbit. uni-tuebingen.de/pas/mayday. The core is published under the GPL (GNU Public License) and the associated plug-ins under the LGPL (Lesser GNU Public License).
Current Challenges for the Early Detection of Alzheimer's Disease: Brain Imaging and CSF Studies

The development of prevention therapies for Alzheimer's disease (AD) would greatly benefit from biomarkers that are sensitive to the subtle brain changes that occur in the preclinical stage of the disease. Reductions in the cerebral metabolic rate of glucose (CMRglc), a measure of neuronal function, have proven to be a promising tool in the early diagnosis of AD. In vivo brain 2-[18F]fluoro-2-Deoxy-D-glucose-positron emission tomography (FDG-PET) imaging demonstrates consistent and progressive CMRglc reductions in AD patients, the extent and topography of which correlate with symptom severity. There is increasing evidence that hypometabolism appears during the preclinical stages of AD and can predict decline years before the onset of symptoms. This review will give an overview of FDG-PET results in individuals at risk for developing dementia, including: presymptomatic individuals carrying mutations responsible for early-onset familial AD; patients with Mild Cognitive Impairment (MCI), often a prodrome to late-onset sporadic AD; non-demented carriers of the Apolipoprotein E (ApoE) ε4 allele, a strong genetic risk factor for late-onset AD; cognitively normal subjects with a family history of AD; subjects with subjective memory complaints; and normal elderly followed longitudinally until they expressed the clinical symptoms and received post-mortem confirmation of AD. Finally, we will discuss the potential to combine different PET tracers and CSF markers of pathology to improve the early detection of AD.
Fractal-based texture and HSV color features for fabric image retrieval

Wide range of products such as clothing, bed linen, curtains, and shoes, use fabrics as main raw material. Fabrics have various types of materials, colors and patterns. Harmony in combining the various types of fabrics will affect the beauty of the resulted product. A system that can be used to retrieve some fabrics similar to a fabrics sample automatically will facilitate the combining process in creating a product. In this study, a fabrics image retrieval system using combination of fractal-based texture feature and HSV color feature is developed. The Canberra Distance is used to measure similarity between features vectors. The experiment which is done using two kinds of fabrics image datasets, i.e. “batik” and “common”, gives average recall 94% and 92%, respectively.
Emotions under Discussion: Gender, Status and Communication in Online Collaboration

Background Despite the undisputed role of emotions in teamwork, not much is known about the make-up of emotions in online collaboration. Publicly available repositories of collaboration data, such as Wikipedia editor discussions, now enable the large-scale study of affect and dialogue in peer production. Methods We investigate the established Wikipedia community and focus on how emotion and dialogue differ depending on the status, gender, and the communication network of the editors who have written at least 100 comments on the English Wikipedia's article talk pages. Emotions are quantified using a word-based approach comparing the results of two predefined lexicon-based methods: LIWC and SentiStrength. Principal Findings We find that administrators maintain a rather neutral, impersonal tone, while regular editors are more emotional and relationship-oriented, that is, they use language to form and maintain connections to other editors. A persistent gender difference is that female contributors communicate in a manner that promotes social affiliation and emotional connection more than male editors, irrespective of their status in the community. Female regular editors are the most relationship-oriented, whereas male administrators are the least relationship-focused. Finally, emotional and linguistic homophily is prevalent: editors tend to interact with other editors having similar emotional styles (e.g., editors expressing more anger connect more with one another). Conclusions/Significance Emotional expression and linguistic style in online collaboration differ substantially depending on the contributors' gender and status, and on the communication network. This should be taken into account when analyzing collaborative success, and may prove insightful to communities facing gender gap and stagnation in contributor acquisition and participation levels.
WebCom-G: Grid Enabled Metacomputing

Current Grid enabling technologies consist of stand-alone architectures. A typical architecture provides middleware access to various services at different hierarchical levels. Services exposed at these levels may be leveraged by the application programmer. However, the level at which the service appears in the hierarchy determines both its richness and the complexity of its use. Thus, benefits gained by using these services are defined by the manner in which they are accessed. Generally, choosing to use a particular middleware service inclines the application programmer to use the associated middleware suite as it is difficult to cherry-pick services across middlewares. Interoperability and independent service access are not easily facilitated in current middlewares. WebCom-G is a fledgling Grid Operating System, designed to provide independent service access through interoperability with existing middlewares. This paper presents an overview of the WebCom-G Operating System and describes the WebCom-G Information System and WebCom-G's mechanism for executing Globus tasks.
Rapid and Specific Detection of the O15:K52:H1 Clonal Group of Escherichia coli by Gene-Specific PCR

ABSTRACT Primers specific for Escherichia coli O15:K52:H1 were devised based on a novel single-nucleotide polymorphism identified within the housekeeping gene fumC, i.e., G594A. In experiments comparing various reference typing methods, the new primers provided 100% sensitivity and specificity for the O15:K52:H1 clonal group, including 162 diverse clinical and reference E. coli isolates.
Metal-semiconductor phase transition in vanadium oxides and technical applications

Existing theories for the metal-semiconductor phase transition which are pertinent to this transition in vanadium oxides are reviewed. The best model for interpreting the phase transition in V$sub 2$O$sub 3$ is the model proposed by Aronov and Kudinov, in which the phase transition is attributed to an instability which arises in the subsystem of Frenkel' excitons. Experimental data supporting this point of view are reported. In vanadium dioxide the most probable explanation for the phase transition seems to be an instability of lattice vibrations, but effects due to an electron-electron interaction are also manifested experimentally. The observed metal-semiconductor phase transition in the series V/sub n/O/sub 2n-1/(n=3--9) is not related to a change in magnetic order. Many of the properties in this series, e.g., the magnetic properties, can be understood assuming that the V$sup 3+$ ion is in cleavage planes and that the V$sup 4+$ ion is in rutile blocks between these planes. The metal-semiconductor phase transition in vanadium oxides is used in automation and control applications (in thermistors with a ''critical point'') and can be used in microelectronics and opto-electronics. (AIP)
MWUs Extraction Based on Continuous Measurement of Inter-word Association with Frequency Adjustment

Extracting Multi-Word Units (MWUs) from raw text is a significant problem in natural language processing due to MWUs describe concept more accurate than single word. The statistical methods such as Mutual Information, Log- Likelihood Ratio and Chi-Squared test etc., rely on frequency of words extremely because the component words of MWUs tend to co-occur more often, and that the main components of multi-word phrase are the core terms in the text document. These core terms have a very high frequency generally and their word-building powers are very strong, so the frequency of these core terms is far higher than other component words of MWUs, and thus reduce the accuracy of the method. We proposed a method to adjust the frequency of the core words. Experimental results show that the method significantly improved the recall of the multi-word combinations and preserving the precision.
Genetic Introgression and Species Boundary of Two Geographically Overlapping Pine Species Revealed by Molecular Markers

Gene introgression and hybrid barriers have long been a major focus of studies of geographically overlapping species. Two pine species, Pinus massoniana and P. hwangshanensis, are frequently observed growing adjacent to each other, where they overlap in a narrow hybrid zone. As a consequence, these species constitute an ideal system for studying genetic introgression and reproductive barriers between naturally hybridizing, adjacently distributed species. In this study, we sampled 270 pine trees along an elevation gradient in Anhui Province, China and analyzed these samples using EST-SSR markers. The molecular data revealed that direct gene flow between the two species was fairly low, and that the majority of gene introgression was intermediated by backcrossing. On the basis of empirical observation, the on-site distribution of pines was divided into a P. massoniana zone, a hybrid zone, and a P. hwangshanensis zone. STRUCTURE analysis revealed the existence of a distinct species boundary between the two pine species. The genetic boundary of the hybrid zone, on the other hand, was indistinct owing to intensive backcrossing with parental species. Compared with P. massoniana, P. hwangshanensis was found to backcross with the hybrids more intensively, consistent with the observation that morphological and anatomical characteristics of trees in the contact zone were biased towards P. hwangshanensis. The introgression ability of amplified alleles varied across species, with some being completely blocked from interspecific introgression. Our study has provided a living example to help explain the persistence of adjacently distributed species coexisting with their interfertile hybrids.
The Shift from Local to Global Visual Processing in 6-Year-Old Children Is Associated with Grey Matter Loss

Background A real-world visual scene consists of local elements (e.g. trees) that are arranged coherently into a global configuration (e.g. a forest). Children show psychological evolution from a preference for local visual information to an adult-like preference for global visual information, with the transition in visual preference occurring around 6 years of age. The brain regions involved in this shift in visual preference have not been described. Methods and Results We used voxel-based morphometry (VBM) to study children during this developmental window to investigate changes in gray matter that underlie the shift from a bias for local to global visual information. Six-year-old children were assigned to groups according to their judgment on a global/local task. The first group included children who still presented with local visual processing biases, and the second group included children who showed global visual processing biases. VBM results indicated that compared to children with local visual processing biases, children with global visual processing biases had a loss of gray matter in the right occipital and parietal visuospatial areas. Conclusions These anatomical findings are in agreement with previous findings in children with neurodevelopmental disorders and represent the first structural identification of brain regions that allow healthy children to develop a global perception of the visual world.
The specifications of E-Commerce Secure System using Z language

This paper uses formal methods to improve the security of the ecommerce system specifications and reduce the number of security threats to the minimum. The result shows the effectiveness of using formal methods for empowering ecommerce security. Z specification language is used to design the e-commerce system & specify security constraints. Besides, Z/EVES formal methods tool is considered for demonstrating our work.
Editorial, Eliot R. Smith, January 2012

The beginning of a new editorial term at the Attitudes and Social Cognition section of the Journal of Personality and Social Psychology (JPSP) is a natural occasion for reflection on this journal’s mission. My reflection has centered on two points. First, this journal has traditionally sought to publish articles that make a meaningful theoretical advance by linking empirical findings to underlying processes. Most JPSP articles are relatively long and rich, incorporating several studies that not only document a theoretically predicted effect but often offer replications to establish its robustness and perhaps some moderating factors or boundary conditions. Most articles will certainly continue to fit this mold, especially given the recent proliferation of outlets for shorter oneor two-study articles. But, in my view, the inclusion of multiple studies in an article is not a criterion but a means to an end, which is exploring, developing, and validating new theoretical ideas. Sometimes a single-study article can achieve this goal, and I welcome such articles. Conversely, multiple studies that simply replicate a single primary finding uncontextualized by serious theoretical development are not what I am looking for. My goal is for the signature of a JPSP article to continue to be a genuine advance in theoretical understanding. Second, JPSP is often regarded as a core service to or resource for our field, meaning personality and social psychology. But JPSP’s role and mission extend outside our field. Recent scientometric analyses establish that personality and social psychology as a whole and JPSP in particular constitute a hub of science. Focusing specifically on psychology, Yang and Chiu (2009) examined citation data from 17 American Psychological Association journals and concluded that “personality and social psychology is located at the heart of psychological knowledge” (p. 349). JPSP is identified as a “knowledge broker” that “absorbed and integrated knowledge from many other subfields and disseminated value-added knowledge to various consumers” (Yang & Chiu, 2009, p. 355). JPSP imports knowledge from more basic areas of psychology (e.g., cognitive and neuroscience) and generates results that prove useful to the more applied areas of psychology (e.g., clinical or organizational). The authors noted that
Molecular cloning and expression of an isomalto-dextranase gene from Arthrobacter globiformis T6

The gene encoding an extracellular isomalto-dextranase, designated imd, was isolated from the chromosomal DNA of Arthrobacter globiformis T6 and cloned and expressed in Escherichia coli. A single open reading frame consisting of 1,926 base pairs that encoded a polypeptide composed of a signal peptide of 39 amino acids and a mature protein of 602 amino acids (M(r), 65,900) was found. The primary structure had no significant homology with the structures of any other reported carbohydrases, including two other dextranases. Transformed E. coli cells carrying the 2.3-kb fragment overproduced isomalto-dextranase into the periplasmic space under control of the promoter of the imd gene itself.
An Improved Pattern Mining Technique for Analysis of Prognostication of Breast Carcinoma Disease

This paper presents a study of different techniques of information mining algorithms used for the aim of predicting carcinoma because it is understood to any or all that prediction of carcinoma survivability has been a difficult research problem for several researchers. Since the early dates of the related analysis, a lot of advancement has been recorded in many related fields. For an instance, a sincere thanks to existing biomedical technologies, higher instructive prognostic factors are being measured and recorded; because of low value computer components and software system technologies, high volume good quality information is being collected and keep automatically; and at last thanks to higher analytical strategies, those voluminous information is being processed effectively and with efficiency. Therefore, the most objective of this manuscript is to report on a research project where we have a tendency to take advantage of these available technological advancements to develop prediction models for carcinoma survivability.
Mechanochemical Synthesis of Nanocrystalline (Fe,Co)3О4-Based Alloys and their Magnetic Properties

The structure of nanocrystalline Fe-Co-O alloys produced by high-energy ball milling and subsequent low-temperature annealing were investigated by X-ray diffraction analysis, scanning and transmission electron microscopy. The magnetic properties were measured in vibrating sample magnetometers at room temperature. The mixtures of FeO and Co powders were used as starting materials. The nanocrystalline composite alloys, obtained as a result of the milling, contained FeO and -Fe with the crystallite size of 12-18 nm as well as an amorphous phase. However, alloys subjected to subsequent annealing contained Fe3O4 and -Fe phases with crystallite size of 10-30 nm, in which Co is dissolved. Unlike the starting materials the produced powders exhibit properties typical of magnetically hard alloys. The intrinsic coercive force of the annealed powders increases with increasing (Fe,Co)3O4 phase content and reaches approximately 800 Oe.
Improved Targeting of Pancreatic Cancer

Purpose: The early detection and diagnosis of pancreatic cancer remains a major clinical challenge in which imaging procedures have a central role. The purpose of this study was to evaluate a pretargeting method with a bispecific PAM4 (bsPAM4; anti-MUC1) antibody for radioimmunoscintigraphy of experimental human pancreatic cancer. Experimental Design: A bispecific F(ab′)2 antibody was generated from chimeric PAM4 Fab′ and murine 734 (anti-indium-diethylenetriaminepentaacetic acid) Fab′ fragments and then used in conjunction with 2 peptide haptens (111In-IMP-156 and 99mTc-IMP-192). Biodistribution studies and radioimmunoscintigraphic imaging properties of the radiolabeled bsPAM4, and pretargeted, radiolabeled peptides were examined in the CaPan1 human pancreatic tumor grown as s.c. xenografts in athymic nude mice. Tumor uptake and tumor:nontumor ratios were compared with a nontargeting irrelevant anti-CD20, bispecific rituximab, radiolabeled peptides alone, and with directly labeled PAM4. Results: Biodistribution results indicated significantly greater tumor uptake of radiolabeled peptides at 3 h after injection when pretargeting was performed with bsPAM4 as compared with the bispecific rituximab [20.2 ± 5.5 percentage of injected dose per gram of tissue (%ID/g) versus 0.9 ± 0.1%ID/g, respectively, for 111In-IMP-156, and 16.8 ± 4.8%ID/g versus 1.1 ± 0.2%ID/g, respectively, for 99mTc-IMP-192]. Similar results were obtained at the 24-h time point. Tumor:nontumor ratios were >30 for all of the tissues except the kidneys, where a ratio of 7.8 ± 2.8 was observed. By immunoscintigraphy, tumors could be visualized as early as 30 min after injection of the radiolabeled peptide. Conclusions: These studies demonstrate the feasibility of using the pretargeted, bispecific antibody technology for nuclear imaging of pancreatic cancer. The advantage of pretargeted bsPAM4 antibody as an imaging platform is the high specificity for pancreatic cancer as compared with the physicochemical parameters identified by current imaging technologies.