Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning from training query in Meta search using Artificial neural network

Search Engines are widely used for retrieving information; Web Mining is the use full field for information retrieval by using search engine. In Meta searching user query is processed by multiple search engines, and search result merged forming a ranked list and ranked list given to the user. But the major difficulties are to find the appropriate search engine. This paper overcome the technical challenges of meta searching mainly search engine selection and provide an algorithm that learn from training data. My Algorithm is based artificial neural network and web search to provide better learning search result than previous.
Locating Software Faults Based on Control Flow and Data Dependence

Debugging software is a difficult and time-consuming work. Fault localization techniques are becoming extremely important. Coverage Based Fault Localization (CBFL) is very commonly used in fault location technique. Tarantula is a typical one. It uses the coverage statistics of failed execution paths and passed execution paths to calculate the suspiciousness in the software. However, since this technique ignores the data dependency, it is hard to find the bugs which are not in the suspicious code area but have data dependence with it. In order to improve the efficiency of fault locating, we combine control flow coverage information and data dependence from program slicing. We validate our approach experimentally using Siemens benchmark programs. The experimental results show that our approach is more effective than Tarantula.
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language

The latest advancements in machine learning and deep learning have brought forth the concept of semantic similarity, which has proven immensely beneficial in multiple applications and has largely replaced keyword search. However, evaluating semantic similarity and conducting searches for a specific query across various documents continue to be a complicated task. This complexity is due to the multifaceted nature of the task, the lack of standard benchmarks, whereas these challenges are further amplified for Arabic language. This paper endeavors to establish a straightforward yet potent benchmark for semantic search in Arabic. Moreover, to precisely evaluate the effectiveness of these metrics and the dataset, we conduct our assessment of semantic search within the framework of retrieval augmented generation (RAG).
FacetClouds: exploring tag clouds for multi-dimensional data

Tag clouds are simple yet very widespread representations of how often certain words appear in a collection. In conventional tag clouds, only a single visual text variable is actively controlled: the tags' font size. Previous work has demonstrated that font size is indeed the most influential visual text variable. However, there are other variables, such as text color, font style and tag orientation, that could be manipulated to encode additional data dimensions. FacetClouds manipulate intrinsic visual text variables to encode multiple data dimensions within a single tag cloud. We conducted a series of experiments to detect the most appropriate visual text variables for encoding nominal and ordinal values in a cloud with tags of varying font size. Results show that color is the most expressive variable for both data types, and that a combination of tag rotation and background color range leads to the best overall performance when showing multiple data dimensions in a single tag cloud.
Human hookworm Necator americanus in the intestines of young adult hamsters.

The baby hamster model, although currently used for maintenance of the laboratory-adapted strain of human hookworm, Necator americanus (Sen and Seth, 1967, Nature 214: 609-610), possesses practical limitations such as (i) necessity of infecting 2-day-old neonatals, (ii) mortality of infected animals (up to 40%; Rajasekariah et al., 1985a, Acta Tropica 42: 45-54; Rajasekariah et al., 1985b, Acta Tropica 42: 333-340), and (iii) the model is not accessible for preinfection handling of animals (e.g., immunization). These limitations have restricted its scope as model for human hookworm. Therefore there is a need to
Arabic Cross-Language Information Retrieval

Cross-language information retrieval (CLIR) deals with retrieving relevant documents in one language using queries expressed in another language. As CLIR tools rely on translation techniques, they are challenged by the properties of highly derivational and flexional languages like Arabic. Much work has been done on CLIR for different languages including Arabic. In this article, we introduce the reader to the motivations for solving some problems related to Arabic CLIR approaches. The evaluation of these approaches is discussed starting from the 2001 and 2002 TREC Arabic CLIR tracks, which aim to objectively evaluate CLIR systems. We also study many other research works to highlight the unresolved problems or those that require further investigation. These works are discussed in the light of a deep study of the specificities and the tasks of Arabic information retrieval (IR). Particular attention is given to translation techniques and CLIR resources, which are key issues challenging Arabic CLIR. To push research in this field, we discuss how a new standard collection can improve Arabic IR and CLIR tracks.
Explaining the Surge in Citizenship Applications in the 1990s: Lawful Permanent Residents in Texas

Objective. We explore the increase in citizenship applications in the mid-1990s in order to test popular explanations for them, such as the consequences of IRCA legalization, fear of loss of public benefits, and effects of citizenship outreach programs. Methods. We rely on a nonrandom sample of 526 lawful permanent residents in four Texas cities. About half had applied for citizenship and all were taking affirmative steps via participation in citizenship or English-language classes. Results. Having received amnesty under IRCA predicts rapid application for citizenship upon eligibility but is not associated with greater mastery of the naturalization process or better English skills. Fear of losing eligibility for public benefits and campaigns promoting naturalization motivated about one-quarter of citizenship applicants. Much larger proportions cite their desire to participate fully in American life, to sponsor the immigration of relatives, and to ensure opportunities for their children. The main obstacle they identify is limited English proficiency. Conclusions. Although factors peculiar to the political environment of the 1990s affected many permanent residents, most cited traditional incentives having to do with investment in opportunities for themselves and their families. Our data suggest that the most effective way to facilitate naturalization is to devote more resources to English-language training.
Stream Oriented Modular Architecture with Polymorphic Processing Engines

Stream computing has shown to be an effective technique to decouple communication from computation in many application domains. It provides an efficient mitigation of bandwidth restrictions, by reducing the amount of memory accesses and by maximizing the available computational resources, potentiating the parallel processing using multiple execution engines. However, it frequently implies significant development costs, since efficient stream-based architectures are usually attained through application-specific full-custom processors, often tightened to the application at hand. To circumvent this limitation, a modular stream computing architecture aiming generic and high performance applications is presented. The proposed architecture, designed for reconfigurable hardware, is composed of modular processing engines that can be customized by the end-user in many ways, such as in terms of their number, type and precision of the functional units. Furthermore, these processing engines are designed as programmable cores, allowing the execution of a wide set of applications using the same configuration. From the conducted evaluation by using a series of benchmark case studies, it was observed that the proposed architecture achieves competitive results when compared with alternative solutions.
Comparison of clinical utilities of the platelet count and platelet-lymphocyte ratio for predicting survival in patients with cervical cancer: a single institutional study and literature review.

OBJECTIVE To compare the clinical utilities of the platelet count and platelet-lymphocyte ratio (PLR) for predicting survival in patients with cervical cancer. RESULTS Multivariate analyses demonstrated that thrombocytosis and elevated PLR were found to be independent prognostic factors for progression-free survival (PFS, P = 0.0077, P = 0.044) and overall survival (OS, P = 0.025, P = 0.019) in separate Multivariate analyses. In the ROC analysis, the platelet count showed a significantly greater area under the ROC curve (AUC) value than that of PLR for predicting patient recurrence (0.5941 versus 0.5331, p = 0.018) and survival (0.6139 versus 0.5468, p = 0.029). In patients without thrombocytosis, elevated PLR correlated with shorter survival (PFS, P = 0.041; OS, P = 0.017). In contrast, PLR in patients with thrombocytosis did not provide prognostic information. We divided patients into 3 prognostic groups using platelet counts and PLR: high-risk (thrombocytosis with any PLR); intermediate-risk (elevated PLR without thrombocytosis); low-risk (none of the above), which allowed for individualized and accurate survival estimates. MATERIALS AND METHODS The baseline characteristics and clinical outcomes of cervical cancer patients were identified. Patients were grouped according to their pretreatment platelet counts or PLR, and clinicopathological characteristics and patient survival were then compared between these groups. The clinical utilities of the platelet count and PLR were compared using a time-dependent receiver operating characteristic (ROC) analysis. CONCLUSIONS Pretreatment thrombocytosis and elevated PLR were identified as independent predictors in cervical cancer patients. Platelet counts were superior to PLR for predicting the prognosis of uterine cervical cancer patients. Our prognostic model consisting of platelet counts and PLR offers individualized survival estimates.
Generalized Chern-Simons-Schrodinger system with critical exponential growth: the zero mass case

We consider the existence of ground state solutions for a class of zero-mass Chern-Simons-Schr\"{o}dinger systems \[ \left\{ \begin{array}{ll} \displaystyle -\Delta u +A_0 u+\sum\limits_{j=1}^2A_j^2 u=f(u)-a(x)|u|^{p-2}u, \newline \displaystyle \partial_1A_2-\partial_2A_1=-\frac{1}{2}|u|^2,~\partial_1A_1+\partial_2A_2=0, \newline \displaystyle \partial_1A_0=A_2|u|^2,~ \partial_2A_0=-A_1|u|^2, \end{array} \right. \] where $a:\mathbb R^2\to\mathbb R^+$ is an external potential, $p\in(1,2)$ and $f\in \mathcal{C}(\mathbb R)$ denotes a nonlinearity that fulfills the critical exponential growth in the Trudinger-Moser sense at infinity. By introducing an improvement of the version of Trudinger-Moser inequality, we are able to investigate the existence of positive ground state solutions for the given system using variational method.
Weekly nab-Rapamycin in Patients with Advanced Nonhematologic Malignancies: Final Results of a Phase I Trial

Purpose: This dose-finding phase I study investigated the maximum-tolerated dose (MTD) and safety of weekly nanoparticle albumin-bound rapamycin (nab-rapamycin) in patients with untreatable advanced nonhematologic malignancies. Experimental Design: nab-Rapamycin was administered weekly for 3 weeks followed by 1 week of rest, with a starting dose of 45 mg/m2. Additional doses were 56.25, 100, 150, and 125 mg/m2. Results: Of 27 enrolled patients, 26 were treated. Two dose-limiting toxicities (DLT) occurred at 150 mg/m2 [grade 3 aspartate aminotransferase (AST) elevation and grade 4 thrombocytopenia], and two DLTs occurred at 125 mg/m2 (grade 3 suicidal ideation and grade 3 hypophosphatemia). Thus, the MTD was declared at 100 mg/m2. Most treatment-related adverse events (TRAE) were grade 1/2, including thrombocytopenia (58%), hypokalemia (23%), mucositis (38%), fatigue (27%), rash (23%), diarrhea (23%), nausea (19%), anemia (19%), hypophosphatemia (19%), neutropenia (15%), and hypertriglyceridemia (15%). Only one grade 3 nonhematologic TRAE (dyspnea) and one grade 3 hematologic event (anemia) occurred at the MTD. One patient with kidney cancer had a partial response and 2 patients remained on study for 365 days (patient with mesothelioma) and 238 days (patient with neuroendocrine tumor). The peak concentration (Cmax) and area under the concentration–time curve (AUC) of rapamycin increased with dose between 45 and 150 mg/m2, except for a relatively low AUC at 125 mg/m2. nab-Rapamycin significantly inhibited mTOR targets S6K and 4EBP1. Conclusions: The clinical dose of single-agent nab-rapamycin was established at 100 mg/m2 weekly (3 of 4 weeks) given intravenously, which was well tolerated with preliminary evidence of response and stable disease, and produced a fairly dose-proportional pharmacokinetic profile in patients with unresectable advanced nonhematologic malignancies. Clin Cancer Res; 19(19); 5474–84. ©2013 AACR.
Synergistic interaction between the Arp2/3 complex and cofilin drives stimulated lamellipod extension

Both the Arp2/3 complex and cofilin are believed to be important for the generation of protrusive force at the leading edge; however, their relative contributions have not been explored in vivo. Our results with living cells show that cofilin enters the leading edge immediately before the start of lamellipod extension, slightly earlier than Arp2/3, which begins to be recruited slightly later as the lamellipod is extended. Blocking either the Arp2/3 complex or cofilin function in cells results in failure to extend broad lamellipods and inhibits free barbed ends, suggesting that neither factor on its own can support actin polymerization-mediated protrusion in response to growth factor stimulation. High-resolution analysis of the actin network at the leading edge supports the idea that both the severing activity of cofilin and the specific branching activity of the Arp2/3 complex are essential for lamellipod protrusion. These results are the first to document the relative contributions of cofilin and Arp2/3 complex in vivo and indicate that cofilin begins to initiate the generation of free barbed ends that act in synergy with the Arp2/3 complex to create a large burst in nucleation activity.
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations

We propose and analyse estimators for statistical functionals of one or more distributions under nonparametric assumptions. Our estimators are derived from the von Mises expansion and are based on the theory of influence functions, which appear in the semiparametric statistics literature. We show that estimators based either on data-splitting or a leave-one-out technique enjoy fast rates of convergence and other favorable theoretical properties. We apply this framework to derive estimators for several popular information theoretic quantities, and via empirical evaluation, show the advantage of this approach over existing estimators.
Osa associates with the Brahma chromatin remodeling complex and promotes the activation of some target genes

The yeast SWI/SNF complex and its Drosophila and mammalian homologs are thought to control gene expression by altering chromatin structure, but the mechanism and specificity of this process are not fully understood. The Drosophila osa gene, like yeast SWI1, encodes an AT‐rich interaction (ARID) domain protein. We present genetic and biochemical evidence that Osa is a component of the Brahma complex, the Drosophila homolog of SWI/SNF. The ARID domain of Osa binds DNA without sequence specificity in vitro, but it is sufficient to direct transcriptional regulatory domains to specific target genes in vivo. Endogenous Osa appears to promote the activation of some of these genes. We show evidence that some Brahma‐containing complexes do not contain Osa and that Osa is not required to localize Brahma to chromatin. These data suggest that Osa modulates the function of the Brahma complex.
From Process Models to Concurrent Systems in Alvis Language

Business Process Model and Notation (BPMN) is the leading visual notation used for modelling business processes. This paper shows how the Alvis modelling language can be used for formal analysis of BPMN models. Alvis supports graphical modelling of interconnections among subsystems called agents as wellas a high-level programming speciﬁcation for describing the agents’ behaviour. Its advantage is the possibility of formal veriﬁcation using proven model checking techniques. We propose a translation from the BPMN model to the Alvis representation, which is discussed and evaluated using an illustrative example of a process for evaluation of a student assignment. Thanks to the translation it is possible to perform formal veriﬁcation of a BPMN model in a high-level concurrent environment. As opposed to some low-level representations, such as Petri nets, semantics of Alvis is close to the original BPMN model. Moreover, if a concurrent system behaviour is speciﬁed using a BPMN model, it is possible to generate a formal model (a preliminary implementation) of the system.
A Lazy SMT-Solver for a Non-Linear Subset of Real Algebra

There are several methods for the synthesis and analysis of hybrid systems that require efficient algorithms and tools for satisfiability checking. For analysis, e.g., bounded model checking describes counterexamples of a fixed length by logical formulas, whose satisfiability corresponds to the existence of such a counterexample. As an example for parameter synthesis, we can state the correctness of a parameterized system by a logical formula; the solution set of the formula gives us possible safe instances of the parameters. For discrete systems, which can be described by propositional logic formulas, SAT-solvers can be used for the satisfiability checks. For hybrid systems, having mixed discrete-continuous behavior, SMT-solvers are needed. SMT-solving extends SAT with theories, and has its main focus on linear arithmetic, which is sufficient to handle, e.g., linear hybrid systems. However, there are only few solvers for more expressive but still decidable logics like the first-order theory of the reals with addition and multiplication -- real algebra. Since the synthesis and analysis of non-linear hybrid systems requires such a powerful logic, we need efficient SMT-solvers for real algebra. Our goal is to develop such an SMT-solver for the real algebra, which is both complete and efficient.
Components of social support, buffering effects and burnout: Implications for psychological functioning

Abstract The present study was conducted in order to examine the buffering effect on burnout of various forms of social support from different sources. Respondents in the study were female and male teachers. Burnout was assessed using the Maslach Burnout Inventory (MBI) composed of three subscales: Emotional Exhaustion, Depersonalization and Lack of Personal Accomplishment. Social support was assessed by a modified version of the Caplan scale. The effects of three types of support were assessed: Informational, practical and emotional support from three sources — the teacher's supervisor, co-workers and friends and family. Examination of multiple regression interaction terms between support and sources of stress indicate that, of the three sources of social support, a teacher's co-workers are the most important buffers of emotional exhaustion. There was a buffering effect of informational support on emotional exhaustion. When emotional support functioned as a buffer, the effects were observed in depersonal.
Cloning and sequencing of protein L-isoaspartyl O-methyl transferase of Salmonella Typhimurium isolated from poultry.

Aim: To clone the Salmonella Typhimurium protein L-isoaspartyl O-methyl transferase (PIMT) enzyme and to analyze the sequence with PIMT gene of other pathogenic serovars of Salmonella. Materials and Methods: Salmonella Typhimurium strain E-2375 was procured from the National Salmonella Center, IVRI. The genomic DNA was isolated from Salmonella Typhimurium. Polymerase chain reaction (PCR) was carried out to amplify PIMT gene using the designed primers. The PCR product was cloned into pET28c plasmid vector and transformed into Escherichia coli DH5α cells. The plasmid was isolated from E. coli and was sequenced. The sequence was analyzed and submitted in Genbank. Results: The PCR product revealed a distinct amplicon of 627 bp. The clone was confirmed by PCR. Sequencing data revealed 100% homology between PIMT sequences from Salmonella Typhimurium strain E-2375 (used in the current study) and PIMT sequences of standard reported strain (Salmonella Typhimurium str. LT2) in NCBI data base. This submitted sequence in Genbank having accession no. KJ575536. Conclusions: PIMT gene of Salmonella is highly conserved in most of the pathogenic Salmonella serovars. The PIMT clone can be used to isolate PIMT protein. This PIMT protein will be helpful to identify isoaspartate containing proteins thus can help in study Salmonella virulence.
A comparison of stuck-at fault coverage and I/sub DDQ/ testing on defect levels

This paper presents experimental data comparing the effect of functional stuck-at fault testing and I/sub DDQ/ testing on defect levels. Results obtained for parts tested with varying stuck-at fault coverage are compared with results from I/sub DDQ/ testing. Empirical data are analyzed against two theoretical fault models to demonstrate that correlation can be obtained. The results indicate that significant benefits can be gained from I/sub DDQ/ testing, even with non-deterministic test locations and relatively few measurements. Data are also presented on the impact of I/sub DDQ/ testing on burn-in monitoring and customer field failures of ASIC designs. Finally some practical issues associated with implementing I/sub DDQ/ tests are discussed. <<ETX>>
Sampling Protein Form and Function with the Atomic Force Microscope*

To study the structure, function, and interactions of proteins, a plethora of techniques is available. Many techniques sample such parameters in non-physiological environments (e.g. in air, ice, or vacuum). Atomic force microscopy (AFM), however, is a powerful biophysical technique that can probe these parameters under physiological buffer conditions. With the atomic force microscope operating under such conditions, it is possible to obtain images of biological structures without requiring labeling and to follow dynamic processes in real time. Furthermore, by operating in force spectroscopy mode, it can probe intramolecular interactions and binding strengths. In structural biology, it has proven its ability to image proteins and protein conformational changes at submolecular resolution, and in proteomics, it is developing as a tool to map surface proteomes and to study protein function by force spectroscopy methods. The power of AFM to combine studies of protein form and protein function enables bridging various research fields to come to a comprehensive, molecular level picture of biological processes. We review the use of AFM imaging and force spectroscopy techniques and discuss the major advances of these experiments in further understanding form and function of proteins at the nanoscale in physiologically relevant environments.
Computer-Assisted Tone Arrangement Using Calculated Consonance

Relative consonance of groups of compound tones is calculated using a model that is based on the physiological theory of tone consonance developed by H. Helmholtz. The calculated consonance, represented as ‘dissonance landscapes’, is at the centre of a proposed computational method for arranging tones in harmonious relationships. Examples of applying the method using an experimental software for computer-assisted microtonal composition are presented.