Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement of fuzzy geographically weighted clustering using particle swarm optimization

One of the most interesting interdisciplinary research topics between Geographic Information Systems and Data Mining are known as Geo-demographic analysis (GDA). Among some methods in this field, Fuzzy Geographically Weighted Clustering (FGWC) is considered as the state-of-the-art for Geo-demographic segmentation. In other hand, recent studies show that its quality of clustering achievement can be improved. One of its limitations is in cluster initialization phase, which performed randomly. In this paper, we introduce a hybrid approach of FGWC based on Particle Swarm Optimization (PSO), namely FGWC-PSO to overcome the limitation. The experimental evaluation through public data set studies shows that the proposed method obtains better clustering quality.
Construction of Two-Gene Modified Artificial Bone by Using Recombinant Adenovirus

Large osseous defects are difficult to treat because of deficient blood supply on the defected area. To get sufficient blood supply, we designed to establish the adenovirus simultaneously encoding both VEGF and Ang-1 (pAd-VIA) to accelerate the formation of new vessels in the process of bone defect repair. The construction of the adenovirus was performed according to the method reported by Tong-Chuan HE with a tiny modification. Three kinds of adenoviruses were acquired. They are adenovirus pAd-VIA simultaneously encoding VEGF and Ang-1, adenovirus pAd-VEGF encoding VEGF, and adenovirus pAd-Ang-1 encoding Ang-1. The adenovirus prepared in this study could successfully transfer VEGF and Ang-1 into mesenchymal stem cells(MSCs) with high efficiency. Two-gene modified artificial bone was established by use of these adenovirus. In the end, the two-gene modified artificial bone was proved to have good biocompatibility and biological function. Study reports presented here will pave the way for further exploration of vascularization in the process of large osseous defects repair.
Security Formalizations and Their Relationships for Encryption and Key Agreement in Information-Theoretic Cryptography

This paper analyzes the formalizations of information-theoretic security for the fundamental primitives in cryptography: symmetric-key encryption and key agreement. Revisiting the previous results, we can formalize information-theoretic security using different methods, by extending Shannon’s perfect secrecy, by information-theoretic analogues of indistinguishability and semantic security, and by the frameworks for composability of protocols. We show the relationships among the security formalizations and obtain the following results. First, in the case of encryption, there are significant gaps among the formalizations, and a certain type of relaxed perfect secrecy or a variant of information-theoretic indistinguishability is the strongest notion. Second, in the case of key agreement, there are significant gaps among the formalizations, and a certain type of relaxed perfect secrecy is the strongest notion. In particular, in both encryption and key agreement, the formalization of composable security is not stronger than any other formalizations. Furthermore, as an application of the relationships in encryption and key agreement, we simultaneously derive a family of lower bounds on the size of secret keys and security quantities required under the above formalizations, which also implies the importance and usefulness of the relationships.
Phonetic Coding and Reading in College Students With and Without Learning Disabilities

This study examined whether adult speech production and oral reading were related independent of auditory short-term memory and vocabulary. Forty-four university students served as subjects for the study. They ranged in age from 17 to 28 years old; 26 were men and 18 were women; 11 were students with learning disabilities and 33 were students without disabilities. All subjects were tested individually on tasks requiring multisyllabic pseudoword repetition, oral reading, memory for digits, and vocabulary. In both groups—with and without learning disabilities—significant correlations were found between pseudoword repetition accuracy and reading, suggesting that poor readers also have more inaccurate speech production. The correlations remained significant after controlling for both memory and vocabulary. A scatter plot of the speech-reading relationship showed performance overlap between groups, as well as within-group heterogeneity. Significance of the findings is discussed, and issues for future research are identified. is an assistant professor of special education at Central Connecticut State University. Her research interests include individual differences and risk for language and reading problems. Address: Helen S. Apthorp. Department of Special Education, Central Connecticut State University, 1615 Stanley St., New Britain, CT 06050.
IS AMBIGUITY USEFUL OR PROBLEMATIC FOR GRAMMAR GUIDED GENETIC PROGRAMMING ? A CASE STUDY

In [2] Antonisse made a conjecture that unambiguous grammars are better candidates for grammar-guided genetic learning. In this paper, we empirically show that it is not always the case, especially when the structural ambiguity is boosted by semantic redundancies in the grammar. We also show that the search space (or genotype space) of grammar guided genetic programming (GGGP) is truly tree sets but not string sets of formalisms.
A New Immunostain Algorithm Classifies Diffuse Large B-Cell Lymphoma into Molecular Subtypes with High Accuracy

Purpose: Hans and coworkers previously developed an immunohistochemical algorithm with ∼80% concordance with the gene expression profiling (GEP) classification of diffuse large B-cell lymphoma (DLBCL) into the germinal center B-cell–like (GCB) and activated B-cell–like (ABC) subtypes. Since then, new antibodies specific to germinal center B-cells have been developed, which might improve the performance of an immunostain algorithm. Experimental Design: We studied 84 cases of cyclophosphamide-doxorubicin-vincristine-prednisone (CHOP)–treated DLBCL (47 GCB, 37 ABC) with GCET1, CD10, BCL6, MUM1, FOXP1, BCL2, MTA3, and cyclin D2 immunostains, and compared different combinations of the immunostaining results with the GEP classification. A perturbation analysis was also applied to eliminate the possible effects of interobserver or intraobserver variations. A separate set of 63 DLBCL cases treated with rituximab plus CHOP (37 GCB, 26 ABC) was used to validate the new algorithm. Results: A new algorithm using GCET1, CD10, BCL6, MUM1, and FOXP1 was derived that closely approximated the GEP classification with 93% concordance. Perturbation analysis indicated that the algorithm was robust within the range of observer variance. The new algorithm predicted 3-year overall survival of the validation set [GCB (87%) versus ABC (44%); P < 0.001], simulating the predictive power of the GEP classification. For a group of seven primary mediastinal large B-cell lymphoma, the new algorithm is a better prognostic classifier (all “GCB”) than the Hans' algorithm (two GCB, five non-GCB). Conclusion: Our new algorithm is significantly more accurate than the Hans' algorithm and will facilitate risk stratification of DLBCL patients and future DLBCL research using archival materials. (Clin Cancer Res 2009;15(17):5494–502)
A study on mechanical behavior of surface modified jute fiber reinforced epoxy composites

Composites are materials consisting of two or more chemically distinct constituents on a macro scale having a distinct interface separating them and having bulk behavior which is considerably different from any of the constituents. In current age natural fiber is more delightful material because of its many advantages such as low density, nontoxic, nonabrasive, radially available in nature and is cost effective. A lot of work has been done in this particular area all over the world over the use of natural fibers as reinforcement for preparing different varieties of composites. Due to incompatibility between polymer and fiber it is more to likely form unwanted substances during processing and the poor resistance to moisture, reduce the use of the natural fibers as reinforcements in polymer. To this end, an attempt has been made to study the effects of chemical treatment on mechanical behavior of jute fiber reinforced epoxy composites. Composites are fabricated using simple hand lay-up technique. It has been observed that there is a significant effect of surface treatment of fiber on the mechanical behavior of composites. Finally, the morphology of fractured surfaces is examined using scanning electron microscopy (SEM).
Bacteriocin Typing of Staphylococcus Aureus Isolated from Clinical Specimens in Nagpur City

Bacteriocin synthesis is a valuable character of some staphylococcal strains. Staphylococcal bacteriocins are lethal to strains belonging to the same or related species as well as have a broad activity spectrum against many Gram-positive and Gram-negative bacteria. On the other hand, studies on the possibility of typing S. aureus, on the basis of their sensitivity to bacteriocins, are rarely published. Therefore, the purpose of this study was to use the production of bacteriocin from active strains in typing of S. aureus. A total of 22 S. aureus were isolated from 50 clinical specimens of wound infections. Four staphylococci isolates (S. aureus 5, S. aureus 8, S. aureus 13 and S. aureus 20) were selected on the basis of sensitivity to most antibiotics which were used as basic indicator strains to determine the most producing staphylococcin isolates. Five staphylococcal isolates (S. aureus 1, S. aureus 4, S. aureus 12, S. aureus 17 and S. aureus 19) were chosen as good Staphylococcin producers according to their widest inhibition zone on the basic indicator isolates. Then the five isolates (producers) were tested against 22 S. aureus (Indicator) by well diffusion method. Staphylococcin of S. aureus 1, S. aureus 4, S. aureus 12, S. aureus 17 and S. aureus 19 strains inhibited 17 (77.27%), 20 (90.90%), 18 (81.81%), 16 (72.72%) and 20 (90.90%) of the tested isolates respectively. Depending on the sensitivity to the staphylococcin used, the isolates of S. aureus were classified into 4 groups. The most numerous group was characterized by the susceptibility to all five staphylococcin and comprised 13 (59.09%) isolates of S. aureus, followed by four isolates (18.18%) susceptible to three staphylococcin, three isolates (13.63%) susceptible to four staphylococcin while the lowest numerous were found in 2 isolates (9.09%) susceptible to only one staphylococcin.
Worst-case analysis of target localization errors in fiducial-based rigid body registration

Fiducial-based rigid registration is the preferred method for aligning the preoperative image with the intra-operative physical anatomy in existing image-guided surgery systems. After registration, the targets locations usually cannot be measured directly, so the Target Registration Error (TRE) is often estimated with the Fiducial Registration Error (FRE), or with Fitzpatrick TRE (FTRE) estimation formula. However, large discrepancies between the FRE and the TRE have been exemplified in hypothetical setups and have been observed in the clinic. In this paper, we formally prove that in the worst case the FRE and the TRE, and the FTRE and the TRE are independent, regardless of the target location, it location, the number of fiducials, and their configuration. The worst case occurs when the unknown Fiducial Localization Error (FLE) is modeled as an affine anisotropic inhomogeneous bias. Our results generalize previous examples, contribute to the mathematical understanding of TRE estimation in fiducial-based rigid-body registration, and strengthen the need for realistic and reliable FLE models and effective TRE estimation methods.
Multi-stage coordinated prefetching for present-day processors

Data prefetching is an important technique for hiding memory latency. Latest microarchitectures provide support for both hardware and software prefetching. However, the architectural features supporting either are different. In addition, these features can vary from one architecture to another. As a result, the choice of the right prefetching strategy is non-trivial for both the programmers and compiler-writers. In this paper, we study different prefetching techniques in the context of different architectural features that support prefetching on existing hardware platforms. These features include, the size of the line fill buffer or the Miss Status Handling Registers servicing prefetch requests at each level of cache, the aggressiveness and effectiveness of the hardware prefetchers, interaction between software prefetch requests and the hardware prefetcher, the nature of the instruction pipeline (in-order/out-of-order execution), etc. Our experiments with two widely different processors, a latest multi-core (SandyBridge) and a many-core (Xeon Phi) processor, show that these architectural features have a significant bearing on the prefetching choice in a given source program, so much so that the best prefetching technique on SandyBridge performs worst on Xeon Phi and vice-versa. Based on our study of the interaction between the host architecture and prefetching, we find that coordinated multi-stage prefetching that brings data closer to the core in stages, yields best performance. On SandyBridge, the mid-level cache hardware prefetcher and L1 software prefetching coordinate to achieve this end, whereas on Xeon Phi, pure software prefetching proves adequate. We implement our algorithm in the ROSE source-to-source compiler framework. Experimental results demonstrate that coordinated prefetching achieves a speed-up (geometric mean over benchmarks from the SPEC suite) of 1.55X and 1.3X against the hardware prefetcher and the Intel compiler, respectively, on Xeon Phi. On SandyBridge, a speed-up of 1.08X is obtained over its effective hardware prefetcher.
Dual-Layer Corrugated Plate Antenna

This letter presents a subwavelength slot-fed high-gain dual-layer corrugated plate antenna for X -band applications. The antenna is realized by placing a second corrugated layer that has three radiating slots on top of the traditional corrugated plate antenna. The addition of the second layer improves the gain and bandwidth of the proposed antenna. Compared to a traditional single-layer corrugated plate antenna, the proposed dual-layer antenna has higher gain, lower sidelobe level, narrower half-power beamwidth, and better impedance bandwidth. A prototype of the proposed antenna is built and tested, and the measured results show that the antenna has a peak gain of 16.3 dBi at 11.3 GHz. The gain of the proposed antenna has been improved by more than 4 dBi due to coupling more energy to the second layer's three slots. Finally, the operating principles of the proposed antenna are also discussed and analyzed thoroughly.
The Influence of Transcription Factor Competition on the Relationship between Occupancy and Affinity

Transcription factors (TFs) are proteins that bind to specific sites on the DNA and regulate gene activity. Identifying where TF molecules bind and how much time they spend on their target sites is key to understanding transcriptional regulation. It is usually assumed that the free energy of binding of a TF to the DNA (the affinity of the site) is highly correlated to the amount of time the TF remains bound (the occupancy of the site). However, knowing the binding energy is not sufficient to infer actual binding site occupancy. This mismatch between the occupancy predicted by the affinity and the observed occupancy may be caused by various factors, such as TF abundance, competition between TFs or the arrangement of the sites on the DNA. We investigated the relationship between the affinity of a TF for a set of binding sites and their occupancy. In particular, we considered the case of the transcription factor lac repressor (lacI) in E.coli, and performed stochastic simulations of the TF dynamics on the DNA for various combinations of lacI abundance and competing TFs that contribute to macromolecular crowding. We also investigated the relationship of site occupancy and the information content of position weight matrices (PWMs) used to represent binding sites. Our results showed that for medium and high affinity sites, TF competition does not play a significant role for genomic occupancy except in cases when the abundance of the TF is significantly increased, or when the PWM displays relatively low information content. Nevertheless, for medium and low affinity sites, an increase in TF abundance (for both cognate and non-cognate molecules) leads to an increase in occupancy at several sites.
MicroRNA-mediated alteration of TET2 interaction network in myeloproliferative neoplasms

Myeloproliferative neoplasms (MPNs) constitute a type of proliferative and dysplastic myeloid tumors, which are frequently found in the elderly people. Although some kinds of gene mutations in MPNs have been studied, the biological mechanisms behind this disease are still not very clear. Researchers have found that MPN patients with TET2 mutations have low level of 5hmC. However, they do not give reasons why there is also low level of 5hmC in patients with wild-type TET2. The aim of this study is to investigate into the role of TET2 and its interacting proteins in MPN under the repression by microRNAs. MicroRNAs are short, endogenous, non-coding RNA molecules, which regulate the target genes expression. We hypothesize that microRNAs lead to low level of 5hmC by down-regulating the expression of TET2 and other proteins interacting with TET2 in MPN patients with wild-type TET2, which is similar to the function of TET2 mutations. Bioinformatics tools were performed in this study. There were 11 databases considered, only 3 of which predicted microRNAs binding to TET2. Moreover, 10 proteins were found to be associated with TET2 according to STRING database and their targeting miRNA predictions was compared with that of TET2. The hypothesis can be supported by he predicted simultaneous repression of DNMT-1 and TET2 by miR-152.
Antisense RNA regulation of the fatB iron transport protein gene in Vibrio anguillarum

We have recently identified an antisense RNA (RNAα) that regulates the expression of the fatA iron transport gene encoding the outer membrane receptor for the iron‐anguibactin complex. In this work, we demonstrate that RNAα also inhibits the expression of fatB, which encodes a 35 kDa iron transport protein and has domains homologous to other periplasmic transport proteins. The expression of fatA and fatB is repressed under iron‐rich conditions, in which RNAα is induced. RNAα is homologous to two‐thirds of the coding region of fatB. By cloning RNAα coding sequences immediately downstream of a tet promoter, we were able to obtain constitutive expression of the antisense RNA. The cloned region contains approximately 83% of the 650 nucleotide RNAα and is complementary to only 51% of the fatB mRNA but is still capable of causing a repression of the expression of the fatB gene. Our results in this work demonstrate that RNAα probably affects the stability of the fatB‐specific mRNA.
Elementary Dislocation Theory

1. Description of a Dislocation 2. The Stress Field Around a Dislocation 3. Forces on a Dislocation 4. Dislocation Reactions in Crystals 5. Dislocation Multiplication, Twinning, Peierls Forces and Related Topics 6. Image Forces, Interactions with Point Defects and Other Topics
Concept for a new frontiers mission to Ganymede: A Planetary Science Summer School study

As part of the NASA Planetary Science Summer School 2010, the Ganymede Interior, Surface and Magnetosphere Observer (GISMO) team developed a robotic mission to Ganymede, one of Jupiter's icy moons. This process included the formulation of the science objectives and the selection of a payload tailored to meet these goals. The team then designed a mission architecture aimed toward achieving the science objectives. Using a sequence of 14 flybys of Ganymede, the vehicle would use a simple, staged operation of the science payload. This timeline allows for a simplified design, with relatively low risk and cost. Principle challenges included the finite power available to the vehicle, along with a limited data downlink rate. Otherwise, this preliminary design would meet all mission requirements, as determined by the science goals, and within the allocated cost cap.
Research on Power-Grid Crisis Management and Online Intelligent Decision-Making System of Power-Grid Security

Power grid crisis that have taken place at home and abroad warns the importance of power grid crisis management. This paper studies the development of the theory on power grid crisis management. Deficiency of the traditional human-intelligence decision-making rule indicates the necessity of research on Online Intelligent Decision-making System of Power-grid Security based on Data Mining. This paper also introduces the development of relevant theory and its concrete application. Research on the above will have profound significance for China to deal with power grid crisis.
Multimodality In Biosecure: Evaluation On Real Vs. Virtual Subjects

In this paper, we present the BioSecure Network of Excellence and its objectives in terms of biometric evaluation. A particular focus is given in this project to multimodal evaluation, which requires special attention due to the lack of large-size available multimodal databases. We show in this paper that the evaluation of score fusion methods for two a priori independent modalities is possible on standard size (roughly 100 persons) virtual databases, but at the price of a careful statistical protocol
Micro-Evolution in Grasshoppers Mediated by Polymorphic Robertsonian Translocations

Abstract This review focuses on grasshoppers that are polymorphic for Robertsonian translocations because in these organisms the clarity of meiotic figures allows the study of both chiasma distribution and the orientation of trivalents and multivalents in metaphase I. Only five species of such grasshoppers were found in the literature, and all of them were from the New World: Oedaleonotus enigma (Scudder) (Orthoptera: Acrididae), Leptysma argentina Bruner, Dichroplus pratensis Bruner, Sinipta dalmani Stål, and Cornops aquaticum Bruner. A general feature of these species (except O. enigma) is that fusion carriers suffer a marked reduction of proximal and interstitial (with respect to the centromere) chiasma frequency; this fact, along with the reduction in the number of linkage groups with the consequent loss of independent segregation, produces a marked decrease of recombination in fusion carriers. This reduction in recombination has led to the conclusion that Robertsonian polymorphic grasshopper species share some properties with inversion polymorphic species of Drosophila, such as the central-marginal pattern (marginal populations are monomorphic, central populations are highly polymorphic). This pattern might be present in D. pratensis, which is certainly the most complex Robertsonian polymorphism system in the present study. However, L. argentina and C. aquaticum do not display this pattern. This issue is open to further research. Since C. aquaticum is soon to be released in South Africa as a biological control, the latitudinal pattern found in South America may repeat there. This experiment's outcome is open and deserves to be followed.
A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers

We present FPT, a scheduling framework for periodic tasks that uses the temporal characteristic of periodic tasks to alleviate the overhead of geo-distributed data centers. In FPT, clients are able to express the periodicity about their tasks, and this characteristic is used to realize one-time scheduling for multiple executions. For a set of periodic tasks, aiming to find the minimum number of VMs required to guarantee the schedulability and generate the task execution sequence on each VM, an algorithm is also presented. A case-study and its evaluation are given to show the efficiency of our framework.