Miracle-dz/UniFAR-FTUs huggingface dataset:
Damage characterization of carbon/epoxy composites using acoustic emission signals wavelet analysis

ABSTRACT This paper will investigate wavelet packet transform of acoustic emission (AE) signal processing in order to identify failure mechanisms of unidirectional carbon/epoxy composites. For this purpose, carbon/epoxy composites were tested in tensile test by two different loading conditions. For the first specimen, the load was applied through fiber direction (T0) and for the second specimen, the load was applied perpendicular to the fiber direction (T90), AE signals were collected during experimental test procedure and the signal’s waveforms were decomposed into various wavelet levels that each includes details and approximations so-called. Each data is related to a specific frequency range. The results show that type and percentage of failure mechanisms in various loadings are different. In T0, four micro-failure mechanisms of matrix cracking, fiber/matrix debonding, fiber pull-out and fiber breakage were observed and Fiber pull-out was determined as main inter-phase failure mechanism. Debonding were dominant failure micro mechanisms of T90. The results were verified with scanning electron microscopic observations. Graphical Abstract
Prevalence and Identification of Burkholderia pseudomallei and Near-Neighbor Species in the Malabar Coastal Region of India

Accurate identification of pathogens with biowarfare importance requires detection tools that specifically differentiate them from near-neighbor species. Burkholderia pseudomallei, the causative agent of a fatal disease melioidosis, is one such biothreat agent whose differentiation from its near-neighbor species is always a challenge. This is because of its phenotypic similarity with other Burkholderia species which have a wide spread geographical distribution with shared environmental niches. Melioidosis is a major public health concern in endemic regions including Southeast Asia and northern Australia. In India, the disease is still considered to be emerging. Prevalence surveys of this saprophytic bacterium in environment are under-reported in the country. A major challenge in this case is the specific identification and differentiation of B. pseudomallei from the growing list of species of Burkholderia genus. The objectives of this study included examining the prevalence of B. pseudomallei and near-neighbor species in coastal region of South India and development of a novel detection tool for specific identification and differentiation of Burkholderia species. Briefly, we analyzed soil and water samples collected from Malabar coastal region of Kerala, South India for prevalence of B. pseudomallei. The presumptive Burkholderia isolates were identified using recA PCR assay. The recA PCR assay identified 22 of the total 40 presumptive isolates as Burkholderia strains (22.72% and 77.27% B. pseudomallei and non-pseudomallei Burkholderia respectively). In order to identify each isolate screened, we performed recA and 16S rDNA sequencing. This two genes sequencing revealed that the presumptive isolates included B. pseudomallei, non-pseudomallei Burkholderia as well as non-Burkholderia strains. Furthermore, a gene termed D-beta hydroxybutyrate dehydrogenase (bdha) was studied both in silico and in vitro for accurate detection of Burkholderia genus. The optimized bdha based PCR assay when evaluated on the Burkholderia isolates of this study, it was found to be highly specific (100%) in its detection feature and a clear detection sensitivity of 10 pg/μl of purified gDNA was recorded. Nucleotide sequence variations of bdha among interspecies, as per in silico analysis, ranged from 8 to 29% within the target stretch of 730 bp highlighting the potential utility of bdha sequencing method in specific detection of Burkholderia species. Further, sequencing of the 730 bp bdha PCR amplicon of each Burkholderia strain isolated could differentiate the species and the data was comparable with recA sequence data of the strains. All sequencing results obtained were submitted to NCBI database. Bayesian phylogenetic analysis of bdha in comparison with recA and 16S rDNA showed that the bdha gene provided comparable identification of Burkholderia species.
Assessing a novel approach for predicting local 3D protein structures from sequence

We developed a novel approach for predicting local protein structure from sequence. It relies on the Hybrid Protein Model (HPM), an unsupervised clustering method we previously developed. This model learns three‐dimensional protein fragments encoded into a structural alphabet of 16 protein blocks (PBs). Here, we focused on 11‐residue fragments encoded as a series of seven PBs and used HPM to cluster them according to their local similarities. We thus built a library of 120 overlapping prototypes (mean fragments from each cluster), with good three‐dimensional local approximation, i.e., a mean accuracy of 1.61 Å Cα root‐mean‐square distance. Our prediction method is intended to optimize the exploitation of the sequence‐structure relations deduced from this library of long protein fragments. This was achieved by setting up a system of 120 experts, each defined by logistic regression to optimize the discrimination from sequence of a given prototype relative to the others. For a target sequence window, the experts computed probabilities of sequence‐structure compatibility for the prototypes and ranked them, proposing the top scorers as structural candidates. Predictions were defined as successful when a prototype <2.5 Å from the true local structure was found among those proposed. Our strategy yielded a prediction rate of 51.2% for an average of 4.2 candidates per sequence window. We also proposed a confidence index to estimate prediction quality. Our approach predicts from sequence alone and will thus provide valuable information for proteins without structural homologs. Candidates will also contribute to global structure prediction by fragment assembly. Proteins 2006. © 2005 Wiley‐Liss, Inc.
Birth Endowments And Parental Investments: New Evidence From Twins

It is now widely recognized that birth endowments can have long-lasting effects on the accumulation of human capital. An important question is how parents respond to shifts in child endowments. Some of the estimates in literature may be affected by small samples and unobservable mother-specific factors, limiting the power of policy implications. We exploit variation within twins to estimate the effect of birth weight on health investments in children. Using data from 68 developing countries, we find that lower birth weight babies receive less health care investments in infancy. These effects are larger for countries with higher infant mortality rates, lower life expectancy, and poorer sanitation facilities. Collectively, the findings suggest that parental behaviors contribute to amplify the baseline effects of birth endowments on the accumulation of human capital.
Signatures of automaticity during practice: Explicit instruction about L1 processing routines can improve L2 grammatical processing

ABSTRACT This study examined the extent to which explicit instruction about first language (L1) and second language (L2) processing routines improved the accuracy, speed, and automaticity of learners’ responses during sentence interpretation practice. Fifty-three English-speaking learners of L2 French were assigned to one of the following treatments: (a) a “core” treatment consisting of L2 explicit information (EI) with L2 interpretation practice (L2-only group); (b) the same L2 core+L1 practice with L1 EI (L2+L1 group); or (c) the same L2 core+L1 practice but without L1 EI (L2+L1prac group). Findings indicated that increasing amounts of practice led to more accurate and faster performance only for learners who received L1 EI (L2+L1 group). Coefficient of variation analyses (Segalowitz & Segalowitz, 1993) indicated knowledge restructuring early on that appeared to lead to gradual automatization over time (Solovyeva & DeKeyser, 2017; Suzuki, 2017). Our findings that EI and practice about L1 processing routines benefited the accuracy, speed, and automaticity of L2 performance have major implications for theories of L2 learning, the role of L1 EI in L2 grammar learning, and L2 pedagogy.
Monopolistic competition in general equilibrium: Beyond the CES

We propose a general model of monopolistic competition and derive a complete characterization of the market equilibrium using the concept of Relative Love for Variety. When the RLV increases with individual consumption, the market generates pro-competitive effects. When it decreases, the market mimics anti-competitive behavior. The CES is a borderline case. We extend our setting to heterogeneous firms and show that the cutoff cost decreases (increases) when the RLV increases (decreases). Last, we study how combining vertical, horizontal and cost heterogeneity affects our results.
A Track-Before-Detect Algorithm With Thresholded Observations and Closely-Spaced Targets

In this letter, we consider the detection architecture in , where a track-before-detect processor elaborates the plot-lists provided on a scan-by-scan basis by the detector and plot-extractor of a radar system. We derive a novel track formation procedure in order to provide improved performance in the presence of multiple, closely-spaced targets. Numerical examples are provided to assess the detection capabilities and the accuracy in the estimation of the target position.
PSiOS: bring your own privacy & security to iOS devices

Apple iOS is one of the most popular mobile operating systems. As its core security technology, iOS provides application sandboxing but assigns a generic sandboxing profile to every third-party application. However, recent attacks and incidents with benign applications demonstrate that this design decision is vulnerable to crucial privacy and security breaches, allowing applications (either benign or malicious) to access contacts, photos, and device IDs. Moreover, the dynamic character of iOS apps written in Objective-C renders the currently proposed static analysis tools less useful. In this paper, we aim to address the open problem of preventing (not only detecting) privacy leaks and simultaneously strengthening security against runtime attacks on iOS. Compared to similar research work on the open Android, realizing such a system for the closed-source iOS is highly involved. We present the design and implementation of PSiOS, a tool that features a novel policy enforcement framework for iOS. It provides fine-grained, application-specific, and user/administrator defined sandboxing for each third-party application without requiring access to the application source code. Our reference implementation deploys control-flow integrity based on the recently proposed MoCFI (Mobile CFI) framework that only protects applications against runtime attacks. We evaluated several popular iOS applications (e.g., Facebook, WhatsApp) to demonstrate the efficiency and effectiveness of PSiOS.
Analysis of problem solving in terms of cognitive style

The purpose of this study was to analyze the problem solving based on the type of cognitive style. Subjects used in this study are students of class X SMK located in Purworejo. The method used in this research is qualitative descriptive. Data collection techniques used in this research is a problem-solving test to determine student problem solving and GEFT to determine the type of cognitive style possessed by students. The result of this research is to determine the mastery of each type in cognitive style, that is Field Independent type and Field Dependent type on problem solving indicator. The impact of this research is the teacher can know the mastery of student problem solving on each type of cognitive style so that teacher can determine the proper way of delivering to student at next meeting.
Reconstructing compressed photo and video data

Some figures in this document are best viewed in colour. If you received a black-and-white copy, please consult the online version if necessary. Summary Forensic investigators sometimes need to verify the integrity and processing history of digital photos and videos. The multitude of storage formats and devices they need to access also presents a challenge for evidence recovery. This thesis explores how visual data files can be recovered and analysed in scenarios where they have been stored in the JPEG or H.264 (MPEG-4 AVC) compression formats. My techniques make use of low-level details of lossy compression algorithms in order to tell whether a file under consideration might have been tampered with. I also show that limitations of entropy coding sometimes allow us to recover intact files from storage devices, even in the absence of filesystem and container metadata. I first show that it is possible to embed an imperceptible message within a uniform region of a JPEG image such that the message becomes clearly visible when the image is recompressed at a particular quality factor, providing a visual warning that recompression has taken place. I then use a precise model of the computations involved in JPEG decompression to build a specialised compressor, designed to invert the computations of the decompressor. This re-compressor recovers the compressed bitstreams that produce a given decompression result, and, as a side-effect, indicates any regions of the input which are inconsistent with JPEG decompression. I demonstrate the algorithm on a large database of images, and show that it can detect modifications to decompressed image regions. Finally, I show how to rebuild fragmented compressed bitstreams, given a syntax description that includes information about syntax errors, and demonstrate its applicability to H.264/AVC Baseline profile video data in memory dumps with randomly shuffled blocks.
Seizure Initiation and Propagation in the Pilocarpine Rat Model of Temporal Lobe Epilepsy

Temporal lobe epilepsy (TLE) is the most common type of epilepsy in adulthood. It is characterized by seizures originating from the limbic system, particularly the hippocampus, parahippocampal regions, and amygdala. TLE is frequently associated with an initial precipitating injury such as perinatal
The Formation of Stellar Clusters

We review recent work that investigates the formation of stellar clusters, ranging in scale from globular clusters through open clusters to the small scale aggregates of stars observed in T associations. In all cases, recent advances in understanding have been achieved through the use of state of the art stellar dynamical and gas dynamical calculations, combined with the possibility of intercomparison with an increasingly large dataset on young clusters. Among the subjects that are highlighted are the frequency of cluster-mode star formation, the possible relationship between cluster density and the highest stellar mass, subclustering and the dynamical interactions that occur in compact aggregates, such as binary star formation. We also consider how the spectrum of stellar masses may be shaped by the process of competitive accretion in dense environments and how cluster properties, such as mass segregation and cluster morphology, can be used in conjunction with numerical simulations to investigate the initial conditions for cluster formation. Lastly, we contrast bottom-up and top-down scenarios for cluster formation and discuss their applicability to the formation of clusters on a range of scales.
Akuntansi Keperilakuan Teori dan Implementasi

Akuntansi keperilakuan merupakan bagian dari disiplin akuntansi yang mengkaji hubungan antara perilaku manusia dan sistem akuntansi, serta dimensi keperilakuan dari organisasi di mana manusia dan sistem akuntansi itu berada. Akuntansi keperilakuan bermanfaat dalam mempelajari pengaruh antara perilaku manusia terhadap desain,bangunan,danpenggunaan sistem informasi akuntansi yang diterapkan dalam perusahaan,mempelajari perilaku manusia yang mempengaruhi kerja,motivasi ,produktivitas,pengambilan keputusan,kepuasan kerja dan kerjasama;danmerupakan metode untuk yang dapat dipergunakan untuk mempengaruhi perilaku, dan bagaimana mengatasiresistensiitu. Pokok bahasan yang dibahasdi buku ini antara lain: • Pengantar Akuntansi Keperilakuan • Pertimbangan dan Pengambilan Keputusan dalam Akuntansi Keperilakuan • Teori Utilitas, Paradok Rasionalitas dan Model Deskriptif dalam pengambilan keputusan • Heuristik ketersediaan,keterwakilan,penjangkaran dan penyesuaian • Fiksasi Fungsional dan Data • Ekskalasi Komitmen • Pendekatan Kontingensi pada RancanganSistem Akuntansi • Aspek keperilakuan dalam Penganggarandan Auditing • Topik-topik penelitian Akuntansi Keperilakuans
The Aphasia Database on the Web: Description of a Model for Problems of Classification in Medicine.

In aphasiology many inconsistencies exist in the definition and interpretation of aphasic syndromes. These syndromes are the co-occurrence of a set of symptoms. Thus, ambiguities in these clinical, aphasic categories are suited to be generalized to many problems of classification in medicine. In this paper the aphasia database is launched as a model for data mining in medicine. Nominal and topological data about 265 aphasic patients is collected in this database, which is a model for benchmarking different methods of soft computing.
Cognitive, achievement, and background variables predicting diagnosis of the college student with a reading based learning disability /

Historically, the discrepancy model has been used to diagnosis a learning disabled college student who comes to college without a previous diagnosis. The validity of this model has been challenged and many colleges have moved towards implementation of a clinical model, which includes the use of an intracognitive discrepancy and educational and developmental history as a basis for diagnosis. This has also been problematic because there is little agreement among researchers regarding cognitive profiles or developmental history specific to the adult LD population. This study proposes to examine cognitive, achievement, and interview data gathered at OSLTs office for Disability Services fijom 1992 to 1997 while testing college students for learning disabilities. The purposes of this study were to: 1) describe university students who have been experiencing academic problems due to self-reported reading problems and have been assessed; 2) determine how well the two discrepancy based models and interview information identifies reading LD from non reading LD among postsecondary students seeking learning disability support services for self-reported reading problems; and 3) determine if there is a significant difference in test scores between those diagnosed with a reading LD and those not diagnosed with a reading LD. Data from 156 college students with reported reading difficulty who were evaluated for LD were analyzed. It was found that those who referred themselves for testing are generally male Caucasians with a history of academic problems and low average reading comprehension. Approximately half of those who were tested were found eligible for LD services. The majority of those who qualified for LD were also male Caucasians, slightly older than the average college student. The strongest predictor of eligibility for LD services was the presence of an aptitude/achievement discrepancy. Intracognitive discrepancy was a weak predictor and background variables were not correlated with eligibility for LD. It was
Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study

Objective We assessed the relationship of mortality with glycated hemoglobin (HbA1c) variability and with absolute change in HbA1c. Design A population-based prospective observational study with a median follow-up time of 6 years. Methods Based on a validated algorithm, 11 205 Danish individuals with type 2 diabetes during 2001–2006 were identified from public data files, with at least three HbA1c measurements: one index measure, one closing measure 22–26 months later, and one measurement in-between. Medium index HbA1c was 7.3%, median age was 63.9 years, and 48% were women. HbA1c variability was defined as the mean absolute residual around the line connecting index value with closing value. Cox proportional hazard models with restricted cubic splines were used, with all-cause mortality as the outcome. Results Variability between 0 and 0.5 HbA1c percentage point was not associated with mortality, but for index HbA1c ≤8% (64 mmol/mol), a variability above 0.5 was associated with increased mortality (HR of 1 HbA1c percentage point variability was 1.3 (95% CI 1.1 to 1.5) for index HbA1c 6.6–7.4%). For index HbA1c≤8%, mortality increased when HbA1c declined, but was stable when HbA1c rose. For index HbA1c>8%, change in HbA1c was associated with mortality, with the lowest mortality for greatest decline (HR=0.9 (95% CI 0.80 to 0.98) for a 2-percentage point decrease). Conclusions For individuals with an index HbA1c below 8%, both high HbA1c variability and a decline in HbA1c were associated with increased mortality. For individuals with index HbA1c above 8%, change in HbA1c was associated with mortality, whereas variability was not.
Metabelian SL(n,C) representations of knot groups II: fixed points and deformations

Given a knot K in an integral homology sphere Σ with exterior NK , there is a natural action of the cyclic group Z/n on the space of SL(n,C) representations of the knot group π1(NK), and this induces an action on the SL(n,C) character variety Xn(NK). We identify the fixed points of this action in X∗ n(NK) with characters of irreducible metabelian representations. We then show that for any irreducible metabelian representation α, we have dimCH(NK ; sl(n,C)ad α) ≥ n− 1. If equality holds, then we prove that the character ξα is a smooth point in Xn(NK) and that there exists an (n− 1)–dimensional family of characters of irreducible SL(n,C) representations of π1(NK) near ξα. We relate the cohomological condition that dimCH(NK ; sl(n,C)ad α) = n − 1 to the vanishing of H1(Σφ), where Σφ denotes the associated metabelian branched cover of Σ branched along K.
Hyperlipidemia: a new therapeutic target for diabetic neuropathy

Abstract Emerging data establish dyslipidemia as a significant contributor to the development of diabetic neuropathy. In this review, we discuss how separate metabolic imbalances, including hyperglycemia and hyperlipidemia, converge on mechanisms leading to oxidative stress in dorsal root ganglia (DRG) sensory neurons. We conclude with suggestions for novel therapeutic strategies to prevent or reverse diabetes‐induced nerve degeneration.