Miracle-dz/UniFAR-FTUs huggingface dataset:
Inconsistency Handling in Datalog+/- Ontologies

The advent of the Semantic Web has made the problem of inconsistency management especially relevant. Datalog+/- is a family of ontology languages that is in particular useful for representing and reasoning over lightweight ontologies in the Semantic Web. In this paper, we study different semantics for query answering in inconsistent Datalog+/- ontologies. We develop a general framework for inconsistency management in Datalog+/- ontologies based on incision functions from belief revision, in which we can characterize several query answering semantics as special cases: (i) consistent answers, originally developed for relational databases and recently adopted for some classes of description logics (DLs), (ii) intersection semantics, a sound approximation of consistent answers, and (iii) lazy consistent answers, a novel alternative semantics that offers a good compromise between quality of answers and computation time. We also provide complexity results for query answering under the different semantics, including data tractability results.
Detecting genome-wide epistases based on the clustering of relatively frequent items

MOTIVATION In genome-wide association studies (GWAS), up to millions of single nucleotide polymorphisms (SNPs) are genotyped for thousands of individuals. However, conventional single locus-based approaches are usually unable to detect gene-gene interactions underlying complex diseases. Due to the huge search space for complicated high order interactions, many existing multi-locus approaches are slow and may suffer from low detection power for GWAS. RESULTS In this article, we develop a simple, fast and effective algorithm to detect genome-wide multi-locus epistatic interactions based on the clustering of relatively frequent items. Extensive experiments on simulated data show that our algorithm is fast and more powerful in general than some recently proposed methods. On a real genome-wide case-control dataset for age-related macular degeneration (AMD), the algorithm has identified genotype combinations that are significantly enriched in the cases. AVAILABILITY http://www.cs.ucr.edu/~minzhux/EDCF.zip CONTACT minzhux@cs.ucr.edu; jingli@cwru.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Facial Dominance of West Point Cadets as a Predictor of Later Military Rank

Les AA. s'efforcent de montrer que l'apparence physique d'une personne affecte ses chances en matiere de reussite sociale. Ils affirment que ce type de perspective a ete negligee jusqu'a present. Ils proposent une etude de la physionomie faciale et du caractere dominant qu'elle reflete au travers de l'analyse des portraits des cadets de West Point. Ils estiment que cet aspect physique mis en evidence influe sur le long terme mais non a moyen terme sur les carrieres des futurs officiers
Improving fluid registration through white matter segmentation in a twin study design

Robust and automatic non-rigid registration depends on many parameters that have not yet been systematically explored. Here we determined how tissue classification influences non-linear fluid registration of brain MRI. Twin data is ideal for studying this question, as volumetric correlations between corresponding brain regions that are under genetic control should be higher in monozygotic twins (MZ) who share 100% of their genes when compared to dizygotic twins (DZ) who share half their genes on average. When these substructure volumes are quantified using tensor-based morphometry, improved registration can be defined based on which method gives higher MZ twin correlations when compared to DZs, as registration errors tend to deplete these correlations. In a study of 92 subjects, higher effect sizes were found in cumulative distribution functions derived from statistical maps when performing tissue classification before fluid registration, versus fluidly registering the raw images. This gives empirical evidence in favor of pre-segmenting images for tensor-based morphometry.
Encoding of Prospective Tasks in the Human Prefrontal Cortex under Varying Task Loads

Successful realization of planned actions requires the brain to encode intentions over delays. Previous research has indicated that several regions in the rostral or anterior prefrontal cortex (PFC) encode delayed intentions. However, different processes may encode the same future task depending on task load during the delay. This difference may depend on the computational resources available when the delay is occupied with an ongoing task and when it is task-free. Here we directly investigated and compared the representation of delayed intentions in the human brain in the presence and absence of ongoing task load during the delay. We acquired fMRI data in combination with an event-based prospective memory design where human subjects remembered to perform the same future tasks over occupied and task-free delays. We used time-resolved multivoxel pattern classification and found that: (1) rostrolateral PFC (BA 46) encoded the delayed intention during both delay types; (2) rostromedial PFC (BA 10) encoded the intentions during occupied delays; whereas (3) a variety of more posterior regions, including the anterior cingulate cortex (BA 24), the supplementary motor area (BA 6), and the precuneus, encoded intentions during task-free delays. Overall, the medial PFC encoded delayed intentions more rostrally in the presence of an ongoing delay task and more caudally in its absence. Thus, rostromedial PFC may play a specialized role in the encoding of prospective memory that depends on higher computational demands (e.g., given higher task load during the delay). In contrast, the rostrolateral PFC is a more general area that encodes future intentions regardless of task load.
Finding Peace in Successful Aging

Many of us grow and age with grace and success. We pray for the peace that is beyond all understanding and embrace the 1955 motto of the American Gerontological Society, “of adding life to years, not just more years to life. ” We may wonder at times if we are getting any closer to our goals. It is projected that 40 million people aged 85 and older will be living in the United States in 2040, and even now, more than 40 percent of the population over age 85 remains fully functional. We are living longer and healthier. In fact, over the last century the years spent in active, healthy retirement have increased ten-fold (Valliant and Mukamel 2001). Aging, however, is often viewed through a lens synonymous with failing or declining rather than one of success or peace. Evidence suggests that our senses begin a slow decline at age twenty, and we know, for example, that most of us at age 70 will only be able to identify 50 percent of the smells we could recognize at 40. More than half of us at 70 will not drive at night, and that by age 90 fewer than 50 percent of us will use public transportation (U.S. Bureau of the Census 2000). Change happens: our hair turns white, our small bodies might become somewhat larger, and our once wrinkle-free face now has crow’s feet. But experience increases as well and, for some, so do wisdom and faith. It is important to note that most mental deterioration before age 80 reflects disease and not the normal aging process (Schale 1990).
General dynamic recovery for compensating CSP

Compensation is a technique to roll-back a system to a consistent state in case of failure. Recovery mechanisms for compensating calculi specify the order of execution of compensation sequences. Dynamic recovery means that the order of execution is determined at runtime. In this paper, we define an extension of Compensating CSP, called DEcCSP, with general dynamic recovery. We provide a formal, operational semantics for the calculus, and illustrate its expressive power with a case study. In contrast with previous versions of Compensating CSP, DEcCSP provides mechanisms to replace or discard compensations at runtime. Additionally, we bring back to DEcCSP standard CSP operators that are not available in other compensating CSP calculi, and introduce channel communication.
Segmenting a document by stylistic character

As part of a larger project to developan aid for writers that would help to eliminate stylistic inconsistencies within a document, we experimented with neural networks to find the points in a text at which its stylistic character changes. Our best results, well above baseline, were achieved with time-delay networks that used features related to the author’s syntactic preferences. Low-level and vocabulary-based features were not found to be useful.
Research on XML Element Search Results Clustering

Clustering XML search results is an effective way to improve performance. However, the key problem is how to measure similarity between XML documents. This paper studies XML search results clustering based on element granularity and proposes one similarity measurement method. The method firstly uses latent semantic indexing technology(LSI) to obtain term semantics and then combines the XML element node content and semantic structure properties(CASS). To evaluate clustering performance, two new performance evaluation methodologies, namely R_ClusterRatio and R_DocuRatio are introduced. It is motivated by the observations of relevant documents distribution and the fact that the experiment data collection, IEEE CS corpus, do not provide classification information. Experiment results show that proposed similarity method combining term semantics with content and structure semantics integration(LSI-CASS) is feasible, and it produces better clustering quality than LSI-CAS.
Using grounded theory to research parent participation

There are many interpretations and applications of the grounded theory method which have contributed to different understandings of grounded theory and different versions of how the key components (theoretical sampling, constant comparative analysis and theoretical saturation) should be implemented. The esoteric terminology coupled with the matrix style of the analysis process can be challenging for new researchers. This paper uses data from a study on parent participation to illustrate the application of the key components of grounded theory. Grounded theory provides clear guidelines on how to analyse qualitative data and so is a rigorous method that provides structure and direction to the researcher. However, theoretical sampling with vulnerable groups can be problematic and requires further discussion and debate from other users of grounded theory.
An Adaptive Algorithm for Morse Code Recognition

The Morse code is an international communication language that is simple, speedy, and low cost. The automatic recognition of Morse code is difficult because maintaining a stable typing rate is not easy. In this paper, a suitable adaptive automatic recognition method, the variable degree variable step size Least-Mean-Square algorithm, is provided and its procedure is divided into three modules: character separation, character recognition, and adaptive processing. Experimental results showed that the proposed method obtained high recognition rate.
LRRA: Location-Related Rate Adaptation Algorithm in IEEE 802.11p for DSRC Technology in VANET

Traffic management, road sensing and multimedia delivery in vehicular ad-hoc network (VANET) are application domains whose performance depend on network throughput. Rate adaptation is the key method to maximize the throughput by estimating the current channel qualities and deciding the best bitrate for the next frames. In VANET, rate adaptation is more challenging due to the rapid variation of channel qualities caused by the high speed and density of vehicles. Fortunately, vehicles are subject to certain recurring patterns particularly when vehicles communicate with the road side units (RSU). In this paper, we design and implement a location-related rate adaptation algorithm (LRRA) which combines the historical information stored in database and current channel conditions to jointly maximize the throughput. We evaluate LRRA with outdoor experiments and ns-3 simulations. The results show that LRRA is superior to most current rate adaptation algorithms.
AGE, INTELLIGENCE, AND SEX AS VARIABLES IN THE CONFORMITY BEHAVIOR OF NEGRO AND WHITE CHILDREN.

Negro and White children at ages 7, 9, 12, and 15 years were subjected to simulated group pressures. Two criteria of conformity were employed in a multiple regression technique. The main effect variables of sex, age, race, and IQ plus simple interactions accounted for 36 per cent of the variance on criterion 1 and 26 per cent on criterion 2. Age and race were significant main effect variables. Negro females conformed less than White females. IQ was not a significant variable. The two criteria correlated . 76. The importance of criterion specificity was emphasized. Results were discussed in terms of differential cultural roles, and the regression analysis model was recommended for investigation of the relation between personality factors and conformity behavior.
Novel in vivo method for evaluation of healing around implants in bone.

A material implanted in bone is always inserted into coagulating blood. Protein and cell interactions during this initial implantation time will govern later healing. Many studies have focused on the tissue surrounding implants. We have developed a method for evaluation of healing around implants in bone by studying cells adhering to the implant surface. Hydrophilic titanium discs were inserted into rat tibiae. Samples were retrieved after 1, 2, 4, and 8 days of implantation and were analyzed by fluorescence microscopy techniques and scanning electron microscopy. Both proliferating and apoptotic cells were found on the surface. Generally, cells closest to the implant surface were nonviable whereas cells in the fibrin network a distance from the surface were viable. Bone morphogenetic protein-2 (BMP-2) is an osteogenic substance. An increase in BMP-2-positive cells was seen during the implantation period, and a population of large BMP-2-positive cells appeared on the surface after 4 days of implantation. The method developed here is a suitable tool for rapid evaluation of the initial healing around implant material.
Overcoming traditional electrically small antenna tradeoffs with meta-structures

Metamaterial-inspired near-field resonant parasitic (NFRP) electrically small antennas (ESAs) have been designed and experimentally validated to have not only high radiation efficiencies, but also multi-functionality, large bandwidths, high directivities and reconfigurability. These expanded capabilities have been attained by introducing more complex meta-structures, i.e., multiple NFRP elements loaded with fixed and tunable lumped elements, as well as active circuits. Different classes of passive and active NFRP ESAs that have successfully produced these effects will be reviewed, and several recently reported ESA systems will be introduced and discussed.
APLICACIÓN DE UN MÉTODO PARA EL ANÁLISIS DE LAS REDES SEMÁNTICAS EN PACIENTES QUE SUFRIERON UN ACCIDENTE CEREBRO VASCULAR APPLICATION OF A SEMANTIC NETWORK ANALYSIS METHOD IN STROKE PATIENTS

There are many ways in which semantic organization can be assessed. The methods usual ly used are useful in many ways but fail to provide the possibility to visualise the con fi guration of a semantic network corresponding to a certain group of concepts and to make qualitative and quantitative comparisons between different networks. The aim of the current rese
Emotional Intelligence in Promoting Self-Efficacy of the Visually Impaired Fresh Students of Federal College of Education (Special) Oyo, Nigeria

This study investigated the use of Emotional Intelligence (EI) in promoting self-efficacy of the visually impaired fresh students. Twenty eight visually impaired students participated in the study, made up of 19 males and 9 females of age range from 18 to 23 and a mean age of 20.5. The instrument used for data collection was Emotional Intelligence Scale (EIS) developed by Schutte et al. (1988). Three hypotheses were formulated and tested at 0.05 level of alpha. The results indicated that there were significant differences in the level of improvement experienced by the treated group compared to control group. Also the male and female subjects were significantly different in their responses to treatment. The year of onset of blindness of the subjects indicated significant difference in the subjects’ responses. Emotional Intelligence programme is thus an effective programme for managing self-efficacy.
¿Espectadores o actores potenciales? El debate sobre los sistemas de creencias políticas de los ciudadanos

I. LOS FUNDAMENTOS DEL DEBATE. —II. EL PARADIGMA CLÁSICO: LA DESESTRUCTURACIÓN DEL MUNDO POLÍTICO DE LOS CIUDADANOS: a) Los niveles de conceptualización ideológica, b) La consistencia de las opiniones políticas, c) El grado de estabilidad de las opiniones. —III. REVISIONES Y CRITICAS: LA IMPORTANCIA DEL CONTEXTO POLITICO. —IV. HACIA UNA CONCEPCIÓN MÁS AMPLIA Y FLEXIBLE DE LA ORGANIZACIÓN DE LOS SISTEMAS DE CREENCIAS POI.fTICAS. —V. CONCLUSIÓN: SISTEMAS DE CREENCIAS Y COMPORTAMIENTO POLÍTICO. —REFERENCIAS BIBLIOGRÁFICAS.
Reduced postischemic macrophage infiltration and interstitial fibrosis in osteopontin knockout mice.

BACKGROUND Osteopontin (OPN) is a phosphoprotein that is up-regulated in several experimental models of renal disease, including ischemia/reperfusion injury. OPN has been described as a macrophage chemoattractant, may serve as a survival factor for tubular cells, and is implicated in the development of tubulointerstitial fibrosis. However, the precise role of this protein in renal pathophysiology remains unclear. METHODS OPN knockout and wild-type mice were subjected to 30 minutes of warm renal ischemia combined with a contralateral nephrectomy, and sacrificed at six different time points, ranging from 12 hours to seven days after reperfusion. Besides functional and morphological parameters of postischemic acute renal failure (ARF), macrophage infiltration, apoptosis and expression of collagen types I and IV were investigated. RESULTS Postischemic ARF in OPN knockouts and wild-types showed a similar course and severity, without significant differences in either functional or morphological disease parameters. However, macrophage infiltration was significantly diminished in OPN knockouts after five and seven days, in cortex as well as in the outer stripe of the outer medulla (OSOM). Furthermore, OPN knockout mice showed significantly enhanced apoptosis in the injury phase and significantly less collagen I and IV expression in the regeneration phase of postischemic ARF. CONCLUSIONS There was no influence of OPN protein on the severity or course of functional impairment or morphological injury in the first seven days after an ischemic insult to the kidney. However, our results demonstrate that OPN favors macrophage recruitment to the postischemic kidney, inhibits apoptosis, and stimulates the development of renal fibrosis after an acute ischemic insult.
Comparison of Osteopontin, Megakaryocyte Potentiating Factor, and Mesothelin Proteins as Markers in the Serum of Patients with Malignant Mesothelioma

Introduction: There is increasing interest in identifying a blood-based marker for the asbestos-related tumor, malignant mesothelioma. Three potential markers for mesothelioma are mesothelin, megakaryocyte potentiating factor (MPF) and osteopontin. The purpose of the current study was to directly compare these biomarkers in the same sample population, determining their sensitivity and specificity in establishing a diagnosis, and to determine if diagnostic accuracy for mesothelioma is improved by combining the data from all three markers. Methods: Serum levels of mesothelin, MPF and osteopontin were determined by commercially available assays in 66 samples from patients with pleural malignant mesothelioma, 20 healthy individuals, 21 patients with asbestos-related lung or pleural disease, 30 patients presenting with benign pleural effusions and 30 patients with other malignancies. Results: Serum levels of the three markers were elevated in mesothelioma patients. At a level of specificity of 95% relative to healthy controls and patients with benign asbestos related disease, the sensitivity for mesothelioma was 34% for MPF, 47% for osteopontin and 73% for mesothelin. Osteopontin and MPF were unable to differentiate patients with mesothelioma from patients with other malignancies or those presenting with transudative pleural effusions. Combining the data from the three biomarkers using a logistic regression model did not improve sensitivity for detecting mesothelioma above that of the mesothelin marker alone. Conclusion: Serum mesothelin remains the most specific marker for the diagnosis of mesothelioma.
A fluorescent hydrophobic probe used for monitoring the kinetics of exocytosis phenomena.

A fluorescence method is presented for quantitatively analyzing exocytosis phenomena and monitoring their kinetics. The method is based on the particular properties of a hydrophobic fluorescent probe, 1-[4-(trimethylammonio)phenyl]-6-phenylhexa-1,3,5-triene (TMA-DPH) [Prendergast, F.G. , Haugland, R.P., & Callahan, P.J. (1981) Biochemistry 20, 7333-7338; Kuhry, J.G. , Fonteneau, P., Duportail, G. , Maechling, C. , & Laustriat, G. (1983) Cell Biophys. 5, 129-140; Kuhry, J.G. , Duportail, G. , Bronner, C. , & Laustriat, G. (1985) Biochim. Biophys. Acta 845, 60-67]. When this probe is interacted with intact resting cells in aqueous suspensions, it labels solely the membranes that are in contact with the external medium and is incorporated into them according to a partition equilibrium; i.e., the amount of the probe incorporated is proportional to the available membrane surface. TMA-DPH is highly fluorescent in membranes and not at all in water. Thus, a measurement of the TMA-DPH fluorescence intensity provides a signal proportional to the membrane surface. In secretory cells, the membrane surface available for the probe is increased upon fusion of the membrane of the secretory granules with the cell plasma membranes, directly or via intergranule fusion. Thus, when these cells are stimulated, more TMA-DPH is incorporated than in resting cells since the probe is allowed to also interact with the granule membranes now connected with the external medium by pores. This process results in a proportional increase in the TMA-DPH fluorescence intensity. The response was found to be very rapid and able to follow accurately the exocytosis kinetics. (ABSTRACT TRUNCATED AT 250 WORDS)
Treatment Effect Estimation Using Nonlinear Two-Stage Instrumental Variable Estimators: Another Cautionary Note.

OBJECTIVE To examine the settings of simulation evidence supporting use of nonlinear two-stage residual inclusion (2SRI) instrumental variable (IV) methods for estimating average treatment effects (ATE) using observational data and investigate potential bias of 2SRI across alternative scenarios of essential heterogeneity and uniqueness of marginal patients. STUDY DESIGN Potential bias of linear and nonlinear IV methods for ATE and local average treatment effects (LATE) is assessed using simulation models with a binary outcome and binary endogenous treatment across settings varying by the relationship between treatment effectiveness and treatment choice. PRINCIPAL FINDINGS Results show that nonlinear 2SRI models produce estimates of ATE and LATE that are substantially biased when the relationships between treatment and outcome for marginal patients are unique from relationships for the full population. Bias of linear IV estimates for LATE was low across all scenarios. CONCLUSIONS Researchers are increasingly opting for nonlinear 2SRI to estimate treatment effects in models with binary and otherwise inherently nonlinear dependent variables, believing that it produces generally unbiased and consistent estimates. This research shows that positive properties of nonlinear 2SRI rely on assumptions about the relationships between treatment effect heterogeneity and choice.