Miracle-dz/UniFAR-FTUs huggingface dataset:
Three Tiers Neighborhood Graph and Multi-graph Fusion Ranking for Multi-feature Image Retrieval: A Manifold Aspect

Single feature is inefficient to describe content of an image, which is a shortcoming in traditional image retrieval task. We know that one image can be described by different features. Multi-feature fusion ranking can be utilized to improve the ranking list of query. In this paper, we first analyze graph structure and multi-feature fusion re-ranking from manifold aspect. Then, Three Tiers Neighborhood Graph (TTNG) is constructed to re-rank the original ranking list by single feature and to enhance precision of single feature. Furthermore, we propose Multi-graph Fusion Ranking (MFR) for multi-feature ranking, which considers the correlation of all images in multiple neighborhood graphs. Evaluations are conducted on UK-bench, Corel-1K, Corel-10K and Cifar-10 benchmark datasets. The experimental results show that our TTNG and MFR outperform than other state-of-the-art methods. For example, we achieve competitive results N-S score 3.91 and precision 65.00% on UK-bench and Corel-10K datasets respectively.
GFI1B controls its own expression binding to multiple sites

Background Transcription factors play essential roles in both normal and malignant hematopoiesis. This is the case for the growth factor independent 1b (GFI1B) transcription factor, which is required for erythroid and megakaryocytic differentiation and over-expressed in leukemic patients and cell lines. Design and Methods To investigate GFI1B regulation, we searched for multispecies conserved non-coding elements between GFI1B and neighboring genes. We used a formaldehyde-assisted isolation of regulatory elements (FAIRE) assay and DNase1 hypersensitivity to assess the chromatin conformation of these sites. Next, we analyzed transcription factor binding and histone modifications at the GFI1B locus including the conserved non-coding elements by a chromatin immunoprecipitation assay. Finally, we studied the interaction of the GFI1B promoter and the conserved non-coding elements with the chromatin conformation capture technique and used immunofluorescence to evaluate GFI1B levels in individual cells. Results We localized several conserved non-coding elements containing multiple erythroid specific transcription factor binding sites at the GFI1B locus. In GFI1B-expressing cells a subset of these conserved non-coding elements and the promoter adopt a close spatial conformation, localize with open chromatin sites, harbor chromatin modifications associated with gene activation and bind multiple transcription factors and co-repressors. Conclusions Our findings indicate that GFI1B regulatory elements behave as activators and repressors. Different protein levels within a cell population suggest that cells must activate and repress GFI1B continuously to control its final level. These data are consistent with a model of GFI1B regulation in which GFI1B binds to its own promoter and to the conserved non-coding elements as its levels rise. This would attract repressor complexes that progressively down-regulate the gene. GFI1B expression would decrease until a stage at which the activating complexes predominate and expression increases.
Property-based Semantic Similarity and Relatedness for Improving Recommendation Accuracy and Diversity

The authors introduce new measures of semantic similarity and relatedness for ontological concepts, based on the properties associated to them. They consider two concepts similar if, for some properties they have in common, they also have the same values assigned to these properties. On the other hand, the authors consider two concepts related if they have the same values assigned to different properties. These measures are used in the propagation of user interest values in ontology-based user models to other similar or related concepts in the domain. The authors tested their algorithm in event recommendation domain and in recipe domain and showed that property-based propagation based on similarity outperforms the standard edge-based propagation. Adding relatedness as a criterion for propagation improves diversity without sacrificing accuracy. In addition, assigning a certain relevance to each property improves the accuracy of recommendation. Finally, the property-based spreading activation is effective for cross-domain recommendation.
The Importance of the Subfascial Lymphatics in the Diagnosis of Lower Limb Edema: Investigations with Semiquantitative Lymphoscintigraphy

A new method of semiquantitative lymphoscintigraphy for the evaluation of lower limb edema is characterized by (1) the evaluation of both the epifascial and subfascial system in order to assess type and stage of the edema, (2) the use of high-resolution digital whole-body imaging to facilitate the calculation of functional parameters, and (3) the use of active, standardized ergometry for reproducibility. The appearance time of 99mTc-labeled human albumin nanocol loid in inguinal lymph nodes after injection and the percent uptake of colloid into lymph nodes at 40 and 120 min after injection served as functional parame ters. Patients with edema of the lower limb were compared with normal sub jects. In patients with primary lymphedema the two lymphatic compartments are functionally compromised. Early and advanced stages of postthrombotic syndromes can be distinguished by characteristic lymphoscintigraphic patterns in epifascial and subfascial lymphatic compartments. These results indicate that only the separate evaluation of both the epifascial and subfascial compartments allows an accurate functional assessment of the lymphatics in lower limb edema.
Two Applications of Inductive Counting for Complementation Problems

Following the recent independent proofs of Immerman [SIAM J. Comput. , 17 (1988), pp. 935–938] and Szelepcsenyi [Bull. European Assoc. Theoret. Comput. Sci., 33 (1987), pp. 96–100] that nondeterministic space-bounded complexity classes are closed under complementation, two further applications of the inductive counting technique are developed. First, an errorless probabilistic algorithm for the undirected graph s-t connectivity problem that runs in $O(\log n)$ space and polynomial expected time is given. Then it is shown that the class LOGCFL is closed under complementation. The latter is a special case of a general result that shows closure under complementation of classes defined by semi-unbounded fan-in circuits (or, equivalently, nondeterministic auxiliary pushdown automata or tree-size bounded alternating Turing machines). As one consequence, it is shown that small numbers of “role switches” in two-person pebbling can be eliminated.
Teacher leaders' perceptions of the use of humor in the high school classroom

The purpose of this study was to investigate teacher leaders' perceptions of the use of humor in the high school classroom. For the purposes of this qualitative research the case study method was used. The question of what makes teachers successful with their use of humor in the classroom has been divided into four categories: climate, communication, engagement, and relationships. Nine high school classroom teachers from various curriculum areas comprised the sample. This research was completed using a case study methodology allowing for observations of teachers and personal interviews. Two observations of each classroom were completed during a 10-day period during spring 2012. Following the classroom observations, these teacher leaders participated in interviews about their perceptions of the use humor in the class and then they discussed their conceptions in a focus group format. Coupled with the information garnered during the classroom observations, the teachers' responses during the interviews and focus groups provided information about their attitudes toward the use of humor in the classroom. The use of teacher leaders' humor in the classroom has not previously been studied at the high school level in any detail. Based on the information gathered, as well as teacher comments, conversations, and discussions, it is clear that these teacher leaders all believe that humor makes instruction more effective. Using humor supports the classroom climate and the communication between students and teachers and their relationships and it also, encourages engagement. All of these topics, which are key to successful instruction, are covered in this study. A significant finding from this study is that teacher leaders support the use of humor in their effective instruction.
Shared waypoints and social tagging to support collaboration in software development

This paper presents the conceptual design of TagSEA, a collaborative tool to support asynchronous software development. Our goal is to develop a lightweight source code annotation tool that enhances navigation, coordination, and capture of knowledge relevant to a software development team. Our design is inspired by combining "waypoints" from geographical navigation with "social tagging" from social bookmarking software to support coordination and communication among software developers. We describe the motivation behind this work, walk through the design and implementation, and report early feedback on how this lightweight tool supports collaborative software engineering activities. Finally, we suggest a number of new research directions that this topic exposes.
Plan-based complex event detection across distributed sources

Complex Event Detection (CED) is emerging as a key capability for many monitoring applications such as intrusion detection, sensor-based activity & phenomena tracking, and network monitoring. Existing CED solutions commonly assume centralized availability and processing of all relevant events, and thus incur significant overhead in distributed settings. In this paper, we present and evaluate communication efficient techniques that can efficiently perform CED across distributed event sources. Our techniques are plan-based: we generate multi-step event acquisition and processing plans that leverage temporal relationships among events and event occurrence statistics to minimize event transmission costs, while meeting application-specific latency expectations. We present an optimal but exponential-time dynamic programming algorithm and two polynomial-time heuristic algorithms, as well as their extensions for detecting multiple complex events with common sub-expressions. We characterize the behavior and performance of our solutions via extensive experimentation on synthetic and real-world data sets using our prototype implementation.
LWI and Safari: A New Index Structure and Query Model for Graph Databases

Graph databases are gaining importance in several emerging applications, especially molecular biology. In many exist- ing approaches, such databases are regarded as a "schema- less" collection of labeled graphs. However, there are often user-defined schemes that help in limiting the search space while answering a query and to deliver meaningful results. Techniques based only on index structures do not exploit such situations. This paper presents our work on a graph database system called GRACE, where a Data Manipula- tion Language (DML) called Safari is proposed for graph databases and is closely integrated with structural indexes in the DBMS. Users may define schematic structures over a subset of graphs in the database and add them into the database as any other member graphs. The query model in turn can use such member graphs to define its search space in order to deliver more meaningful results. Queries can be composed, so that schemas defining search spaces can be generated dynamically. An augmenting index struc- ture called labeled walk index (LWI) is also proposed that is extensively used for answering structural queries in Safari.
Clustering Web Documents based on Efficient Multi- Tire Hashing Algorithm for Mining Frequent Termsets

Document Clustering is one of the main themes in text mining. It refers to the process of grouping documents with similar contents or topics into clusters to improve both availability and reliability of text mining applications. Some of the recent algorithms address the problem of high dimensionality of the text by using frequent termsets for clustering. Although the drawbacks of the Apriori algorithm, it still the basic algorithm for mining frequent termsets. This paper presents an approach for Clustering Web Documents based on Hashing algorithm for mining Frequent Termsets (CWDHFT). It introduces an efficient Multi-Tire Hashing algorithm for mining Frequent Termsets (MTHFT) instead of Apriori algorithm. The algorithm uses new methodology for generating frequent termsets by building the multi-tire hash table during the scanning process of documents only one time. To avoid hash collision, Multi Tire technique is utilized in this proposed hashing algorithm. Based on the generated frequent termset the documents are partitioned and the clustering occurs by grouping the partitions through the descriptive keywords. By using MTHFT algorithm, the scanning cost and computational cost is improved moreover the performance is considerably increased and increase up the clustering process. The CWDHFT approach improved accuracy, scalability and efficiency when compared with existing clustering algorithms like Bisecting K-means and FIHC.
Pea3 expression is regulated by FGF signaling in developing retina

FGF signaling has been implicated as an important regulator of retinal development. As a first step in characterizing potential downstream targets of FGF signaling in the retina, we have analyzed expression of Pea3, a member of the Pea3 class of Ets‐domain transcription factors, in the developing eye. We find that Pea3 is expressed in the developing retina, and its transcription is regulated by FGF receptor activation. In addition, FGF signaling activates Cath5, a gene necessary for retinal ganglion cell differentiation. These results suggest that FGF signaling via MAPK up‐regulates transcription factors that in turn control retinal ganglion cell differentiation. Developmental Dynamics 235:327–335, 2006. © 2005 Wiley‐Liss, Inc.
Koefisien Reliabilitas Pada Pengukuran Kepribadian yang Bersifat Multidimensi

Psychological instruments which usually measure the underlying latent abilities or personality traits are called multidimensional measurements. The assumption of these measurements is that there are . two or more common factors that create interrelationship among the measured variables. Factor analysis is the method which proves the interrelationship of two or more factors. Researchers usually ignore the interrelationship found in these multidimensional measurements as they apply reliability formula, which is one-dimensional (I.e., Alpha Coefficient), to find out the reliability coefficient for multidimensional instruments used to measure personality traits. This article is aimed to answer the question if Alpha Coefficient is the right coefficient for one-dimensional measurement and if the Alpha Coefficient will underestimate or overestimate the reliability coefficient of the measurement. Some other reliability coefficients for multidimensional measurements are outlined.
The Impact of Research on Legal Policy: The Minneapolis Domestic Violence Experiment

Experimental research has recently shown a powerful impact on legal policy. An experiment demonstrating a deterrent effect of arrest on domestic violence has shaped public policy. Stimulated by efforts to publicize the results of the Minneapolis Domestic Violence Experiment (Sherman and Berk, 1984a), police departments were persuaded to adopt an arrest policy for misdemeanor domestic violence. Over one-third of respondents from U.S. police departments in 117 cities said their policy had been influenced by the experiment, although respondents from some departments that adopted an arrest policy did not recognize the experiment or its results. Lempert (1987, 1984), citing medical research as precedent, suggests that this impact is premature and inappropriate until replications are completed. However, we find no indication that medical research employs a standard of delaying adoption of research results prior to replication. Our analysis suggests that publicity can encourage replication of legal research at other sites and thus improve the knowledge base for policy recommendations.
Asynchrony induces stability in cellular automata based models

Two cellular automata based computer simulations: an immune network model on one hand and the classical game of life on the other hand, despite similar algorithmic presentations, exhibit surprisingly distinct time evolution: respectively a fixed point and the complex dynamics characteristic of class IV cellular automata. At the conclusion of a complete investigation to understand better which of the algorithmic dif ferences is responsible for this behavioural dif ference, we provide evidence that asynchronous rather than synchronous updating turns out to be the key factor . Experimenting and discussing in more detail this stability induction, we show that the responsibility of asynchrony for freezing game of life type of simulation can be theoretically justified in some particular cases by finding an associate L yapunov function whose monotonous tendency proves the stability . The implications of such sensitivity to the updating mechanism for the future of cellular automata based models are reviewed.
Insights into the Selective Pressures Restricting Pelargonium Flower Break Virus Genome Variability: Evidence for Host Adaptation

ABSTRACT The molecular diversity of Pelargonium flower break virus (PFBV) was assessed using a collection of isolates from different geographical origins, hosts, and collecting times. The genomic region examined was 1,828 nucleotides (nt) long and comprised the coding sequences for the movement (p7 and p12) and the coat (CP) proteins, as well as flanking segments including the entire 3′ untranslated region (3′ UTR). Some constraints limiting viral heterogeneity could be inferred from sequence analyses, such as the conservation of the amino acid sequences of p7 and of the shell domain of the CP, the maintenance of a leucine zipper motif in p12, and the preservation of a particular folding in the 3′ UTR. A remarkable covariation, involving five specific amino acid sites, was found in the CP of isolates largely propagated in the local lesion host Chenopodium quinoa and in the progeny of a PFBV variant subjected to serial passages in this host. Concomitant with this covariation, up to 30 nucleotide substitutions in a 1,428-nt region of the viral RNA could be attributable to C. quinoa-specific adaptation, representing one of the most outstanding cases of host-driven genome variation for a plant virus. Globally, the results indicate that the selective pressures exerted by the host play a critical role in shaping PFBV populations and that these populations are likely being selected for at both protein and RNA levels.
Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers

In this paper we describe a body of work aimed at extending the reach of mobile navigation and mapping. We describe how running topological and metric mapping and pose estimation processes concurrently, using vision and laser ranging, has produced a full six-degree-of-freedom outdoor navigation system. It is capable of producing intricate three-dimensional maps over many kilometers and in real time. We consider issues concerning the intrinsic quality of the built maps and describe our progress towards adding semantic labels to maps via scene de-construction and labeling. We show how our choices of representation, inference methods and use of both topological and metric techniques naturally allow us to fuse maps built from multiple sessions with no need for manual frame alignment or data association.
Depression, unlike Normal Sadness, is Associated with a “Flatter” Self-Perception and a “Flatter” Phenomenal World

Three variables—manifest anxiety, psychological resilience, and phenomenal flatness—were tested for their ability to qualitatively differentiate depression from normal sadness. Toward this end, 221 college students completed the Center for Epidemiological Studies' Depression Scale, our newly developed Multidimensional Sadness Inventory, the Short Form of the Manifest Anxiety Scale, the Connor-Davidson Resilience Scale, the Scale of Social Desirability, our newly developed Test for Flat versus Deep Object-Perception, our newly developed Survey of Flat versus Deep Person-Perception, and our newly developed Survey of Flat versus Deep Self-Perception. On each trial in the Test for Flat versus Deep Object-Perception, the students observed two ambiguous figures—a circle/sphere with a radius of 1 unit and a square/cube with sides 1.675 units long—and they selected the bigger object—either the “phenomenally flat” circle with an area 12% larger than the area of the square, or the “spatially deep” cube with a volume 12% larger than the volume of the sphere. On the Survey of Flat versus Deep Person-Perception, the students indicated how they perceive other students on 43 rating scales anchored by one adjective synonymous with flat and by another adjective synonymous with deep, and on the Survey of Flat versus Deep Self-Perception, they rated how they perceive themselves on the same 43 scales. Our results indicate that lower resilience and higher anxiety are associated not only with greater depression, but also with greater sadness controlling for depression. Greater phenomenal flatness on the other hand, as gauged by our measures of flat versus deep object-perception, person-perception, and self-perception, is associated with greater depression but not with greater sadness controlling for depression.
Image quality and position variability assessment in minutiae-based fingerprint verification

The assessment of a complete minutiae-based fingerprint automatic verification system, when degrading variability factors are included, is presented. A new large public fingerprint database, the so-called MCYT Fingerprint Database, is used to evaluate the performance of the system in verification tasks. The design of this database, in terms of controlled variability in fingerprint positioning, has made it possible to determine the system performance when the test or the stored images are subject to changes in fingerprint core placing. Some procedures are proposed to cope with this problem, including a multiple-reference strategy. Human supervision and labelling of the image quality of the acquired fingerprint images has also been accomplished, permitting a precise assessment of the proposed minutiae extraction and pattern matching processes. Results, including enhanced procedures for both position variability control and image quality consideration, are presented in terms of DET plots, leading to highly competitive verification scores in terms of EER.