Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing Web-based English Instructional Material Oriented to Promote Independent Learning at Indonesian University Context

The objective of this research is to develop web-based English instructional materials which enable to promote students’ independent learning at university context. To comprehend this objective, the researcher employs R & D (Research and Development) design by mixing quantitative and qualitative methods. This research is conducted at Faculty of Engineering Tadulako University. The subjects of the study are the lecturers who teach English for the general course and the students of faculty of Engineering. Subject matter experts were also involved to validate the product. The data were collected through semi-structured interview; study the related documents and the results of questionnaire distribution. The data in these phases were analyzed quantitatively and qualitatively. In reference to data analysis, five findings are documented as explored in this part of the article. In summary, the development of web-based English instructional materials oriented to promote independent learning is effective and responded positively both lecturers and students. With the various supported activities and along with the flexible learning atmosphere and methods of delivery, the web-based English instructional materials are effective to promote students’ independent learning.
Combined descriptors and classifiers for automatic image annotation

Due to the large amounts of multimedia data prevalent on the Web, researchers and industries are beginning to pay more attention to the Multimedia Semantic Web. Despite of decades of research, neither model based approaches can provide quality annotation to images. Many features extraction method and classifiers are used singly, with modest results, for automatic image annotation. The proposed approach is to select and combine together some efficient descriptors and classifiers. This document provides a semantic annotation system that combines some descriptors and classifiers in order to increase the accuracy of the annotation system. The color histograms, Texture, GIST and invariant moments, used as features extraction methods, are combined together with multiclass support vector machine, Bayesian networks, Neural networks and nearest neighbour classifiers, in order to annotate the image content with the appropriate keywords. The accuracy of the proposed approach is supported by the good experimental results obtained from ETH-80 databases.
Performance evaluation of the electromagnetic behavior of the bundle SWCNTs with circular geometry

This paper presented for the purpose of study and estimates the fundamental electromagnetic properties of the bundle of single-walled carbon nanotubes with circular geometrical structure. The bundle of single-walled carbon nanotubes (SWCNTs) dipole antenna will be employed for this purpose by using Drude method at THz frequency range. The armchair-single-walled carbon nanotube (armchair- SWCNTs) will be utilized in this work, Due to their metallic conducting properties, in order to configure the bundle of SWCNTs. The bundle that will be investigated in the current work is filled by identical SWCNTs having the same radius and same length. The radiation pattern, s11 parameters and antenna directivity of bundle SWCNTs dipole antenna are presented in this paper. Based on the performance evaluation presented in this paper, the bundle of SWCNT dipole antenna is a good candidate for the nano-antenna application instead of SWCNT dipole antenna. Also, the problem that associated with SWCNT dipole antenna can be reduced by the bundle. All results in this work explained that the bundle of SWCNTs can be used to design bundle of SWCNTs dipole antenna in a wide THz frequency band. The performance of this dipole antenna will be evaluated by using Computer Simulation Technology (Microwave studio) CST (MWS), which presents and analyses the key parameters of the antenna.
ADS-B Data Authentication Based on ECC and X.509 Certificate

An automatic dependent surveillance- broadcast (ADS-B) system has serious security problems, and the data can be spoofed during broadcasting precise position information of aircraft. A solution of the ADS-B system data authentication based on the elliptic curve cipher (ECC) and X.509 certificate is proposed. It can avoid the key distribution problem by using the symmetric key algorithm and prevent the ADS-B data from being spoofed thoroughly. Experimental test results show that the solution is valid and appropriate in ADS-B universal access transceiver (UAT) mode.
Structural Examination of Autoregulation of Multifunctional Calcium/Calmodulin-dependent Protein Kinase II*

Regulation of Ca2+/calmodulin-dependent protein kinase II is likely based on an auto-inhibitory mechanism in which a segment of the kinase occupies the catalytic site in the absence of calmodulin. We analyze potential auto-inhibitory associations by employing charge reversal and hydrophobic-to-charged residue mutagenesis. We identify interacting amino acid pairs by using double mutants to test which modification in the catalytic domain complements a given change in the auto-inhibitory domain. Our studies identify the core pseudosubstrate sequence (residues 297–300) but reveal that distinct sequences centered about the autophosphorylation site at Thr-286 are involved in the critical auto-inhibitory interactions. Individual changes in any of the residues Arg-274, His-282, Arg-283, Lys-291, Arg-297, Phe-293, and Asn-294 in the auto-inhibitory domain or their interacting partners in the catalytic domain produces an enhanced affinity for calmodulin or generates a constitutively active enzyme. A structural model of Ca2+/calmodulin-dependent protein kinase II that incorporates these interactions shows that Thr-286 is oriented inwardly into a hydrophobic channel. The model explains why calmodulin must bind to the auto-inhibitory domain in order for Thr-286 in that domain to be phosphorylated and why introduction of phospho-Thr-286 produces the important Ca2+-independent state of the enzyme.
Durkheim, Totemism, and The Manson Family: Theorizing on the Relationship Between Religion and Violence

Abstract Purpose – To explain the unswerving loyalty given to Charles Manson by his followers from a religious perspective by drawing on Durkheim’s (1912/1976) theory of religion and Hall’s (2003, 2013) theory of religion and violence. Design/methodology/approach – A qualitative analysis of archived multimedia either quoting, or written by, members of the Manson Family. Specifically, a theoretical thematic analysis is used to draw inferences on how members explained their participation in the 1969 murders. Findings – The Manson Family display a unified belief system premised on the sacredness ascribed to Helter Skelter, forming a moral community at Spahn Ranch. Manson was conceived as the clan’s God, thereby meeting most of Durkheim’s requirements for a religious formation. A main component of their belief system was the inevitability of Helter Skelter, or the upcoming racial revolution; the ultimate war and end of the world. This belief provides one explanation for the Manson murders; that they were carried out as a religious duty to initiate Helter Skelter. Originality/value – Despite the continued public fascination with the Manson murders, only a few studies have applied a sociotheoretical framework to explain this event and none have used a religious account from the perspective of those involved. By introducing religion as one plausible framework, this research is not only an extension of Durkheim’s work but also contributes to existing literature on the relationship between religion and violence.
Building Change Detection by Histogram Classification

This paper presents a supervised classification method applied to building change detection in VHR aerial images. Multi-spectral stereo pairs of 0.3m resolution have been processed to derive elevation, vegetation index and colour features. These features help filling a 5-dimensional histogram whose bins finally hold the ratio of built-up and non built-up pixels, according to the vector database to be updated. This ratio is used as building confidence at each pixel to issue a building confidence map from which to perform building verification and detection. The implementation based on histogram is very simple to code, very fast in execution and compares in this application to a state-of-the-art supervised classifier. It has been tested for the Belgian National Mapping Agency (IGN) to identify areas with high probability of change in building layers.
A Fully Coupled Nonlinear Scheme for Time-Domain Modeling of High-Power Microwave Air Breakdown

In this paper, the air breakdown problem encountered with high-power microwave operation is modeled using a fully coupled nonlinear Newton scheme in the time domain. As a highly nonlinear process, the air breakdown is resulted from the complicated electromagnetic-plasma interactions, which can be described by a coupled system where Maxwell's equations govern the electromagnetic fields, and a simplified plasma fluid equation governs the plasma current. The resulting nonlinear Maxwell's equations are solved by the time-domain finite-element method with a proposed Newton's method, while the simplified plasma fluid equation is solved with another point-wise Newton's method. These two sets of equations are coupled together using a proposed inner-outer iterative scheme to guarantee the convergence and accuracy of the numerical solution. Numerical examples are presented to characterize the nonlinear phenomenon of the breakdown process and the self-sustaining property of the plasma current.
Topic Segmentation for Short Texts

Topic segmentation, which aims to fmd the boundaries between topic blocks in a text, is an important task for semantic analysis of texts. Although different solutions have been proposed for the task, many limitations and difficulties exist in the approaches. In particular most of the methods do not work well for such case as short texts, internet news and student's writings. In this paper, we focus on the short texts and present a method for topic segmentation. It can overcome the limitations in previous works. In preliminary experiments, the method show the accuracy of topic segmentation is increased effectively.
Low Doses of Cisplatin Induce Gene Alterations, Cell Cycle Arrest, and Apoptosis in Human Promyelocytic Leukemia Cells

Cisplatin is a known antitumor drug, but its mechanisms of action are not fully elucidated. In this research, we studied the anticancer potential of cisplatin at doses of 1, 2, or 3 μM using HL-60 cells as a test model. We investigated cisplatin effects at the molecular level using RNA sequencing, cell cycle analysis, and apoptotic assay after 24, 48, 72, and 96 hours of treatment. The results show that many genes responsible for molecular and cellular functions were significantly altered. Cisplatin treatment also caused the cells to be arrested at the DNA synthesis phase, and as the time increases, the cells gradually accumulated at the sub-G1 phase. Also, as the dose increases, a significant number of cells entered into the apoptotic and necrotic stages. Altogether, the data show that low doses of cisplatin significantly impact the viability of HL-60 cells, through modulation of gene expression, cell cycle, and apoptosis.
Dynamical Evolution of Neutrino-cooled Accretion Disks: Detailed Microphysics, Lepton-driven Convection, and Global Energetics

We present a detailed, two-dimensional numerical study of the microphysical conditions and dynamical evolution of accretion disks around black holes when neutrino emission is the main source of cooling. Such structures are likely to form after the gravitational collapse of massive rotating stellar cores or the coalescence of two compact objects in a binary (e.g., the Hulse-Taylor system). The physical composition is determined self-consistently by considering two regimes, neutrino opaque and neutrino transparent, with a detailed equation of state that takes into account neutronization, nuclear statistical equilibrium of a gas of free nucleons and α-particles, blackbody radiation, and a relativistic Fermi gas of arbitrary degeneracy. Various neutrino emission processes are considered, with e± capture onto free nucleons providing the dominant contribution to the cooling rate. We find that important temporal and spatial scales, related to the optically thin/optically thick transition, are present in the disk and manifest themselves clearly in the energy output in neutrinos. This transition produces an inversion of the lepton gradient in the innermost regions of the flow that drives convective motions and affects the density and disk scale height radial profiles. The electron fraction remains low in the region close to the black hole and, if preserved in an outflow, could give rise to heavy-element nucleosynthesis. Our specific initial conditions arise from the binary merger context, and so we explore the implications of our results for the production of gamma-ray bursts.
Estimating F-Formations for Mobile Robotic Telepresence

In this paper, we present a method for the automatic detection of F-formations for mobile robot telepresence (MRP). The method consists of two phases a) estimating face orientation in video frames and b) estimating the F-formation based on detected faces. The method works in real time and is tailored for images of lower resolution that are typically collected from MRP units.
All-Topology, Semi-Abstract Syntactic Features for Text Categorization

Good performance on Text Classification (TC) tasks depends on effective and statistically significant features. Typically, the simple bag-of-words representation is widely used because unigram counts are more likely to be significant compared to more compound features. This research explores the idea that the major cause of poor performance of some complex features is sparsity. Syntactic features are usually complex being made up of both lexical and syntactic information. This paper introduces the use of a class of automatically extractable, syntactic features to the TC task. These features are based on subtrees of parse trees. As such, a large number of these features are generated. Our results suggest that generating a diverse set of these features may help in increasing performance. Partial abstraction of the features also seems to boost performance by counteracting sparsity. We will show that various subsets of our syntactic features do outperform the bag-of-words representation alone.
A Better Algorithm for Random k-SAT

Let *** be a uniformly distributed random k -SAT formula with n variables and m clauses. We present a polynomial time algorithm that finds a satisfying assignment of *** with high probability for constraint densities $m/n , where *** k ***0. Previously no efficient algorithm was known to find solutions with non-vanishing probability beyond m /n = 1.817·2 k /k [Frieze and Suen, Journal of Algorithms 1996].
An active boosting-based learning framework for real-time hand detection

Human hand detection problem has important applications in sign language and human machine interfaces. In this work, we present a novel approach for learning a vision-based hand detection system. The main contribution is a robust on-line boosting-based framework for real-time detection of a hand in unconstrained environments. The use of efficient representative features allows fast computation while dealing with vast changing of hand appearances and background. Interactive on-line training allows efficiently train and improve the detector. Moreover, we propose a strategy to efficiently improve the performance meanwhile reduce hand labeling effort. Besides, if necessary, we use a verification process to prevent ldquodriftingrdquo of classifier over time. The proposed method is practically favorable as it meets the requirements of real-time performance, accuracy and robustness. It works well with reasonable amount of training samples and is computational efficient. Experiments for detection of hands in challenging data sets show the outperform of our approach.
Characterization and semantic modeling of services in multiservice networks

The use of the Internet as a global communication infrastructure to support a wide range of multiconstrained applications and services poses new challenges to ISPs regarding network services management and auditing. In this context, the semantic characterization and modeling of services provided to users assumes an essential role in fostering service management automation. Moreover, the semantic and formal description of services allows enhancing the negotiation and interoperability between clients and service providers. This paper reports the first steps toward the definition of an ontology for multiservice networks that eases and systemizes decision support of QoS deployment in ISP infrastructures, according to service levels established in SLAs. Other management tasks such as dynamic service negotiation and configuration, service monitoring and auditing may also benefit from the present ontology proposal.
A simple row‐replacement method

Updating a video screen involves row replacement, i.e, the task of updating an existing screen row to produce the desired row. In many environments, screen operations require transmitting characters to the terminal by a process that is painfully slow compared to computing speeds. Thus, it is worth while to compute a minimal set of row updating commands, as long as the time to do so does not outweigh the savings in character transmission time. This paper presents a simple and practical algorithm for optimal row replacement and describes experience with its use in a screen editor.
Image retrieval employing genetic dissimilarity weighting and feature space transformation functions

We present two promising Relevance Feedback methods based on Genetic Algorithms used to enhance the performance on the task of image retrieval according to the user's interests. The first method adjusts the dissimilarity function by using weighting functions while the second method redefines the feature space by means of linear and nonlinear transformation functions. Experimental results on real datasets demonstrate that our methods are effective and the results show that the transformation approach outperforms the weighting approach, achieving a precision gain of up to 70%.
Absent fathers and sexual strategies

(2002). Low-income fathers and 'Responsible Fatherhood' programs: A qualitative investigation of participants' experiences. a balance between risk and protection: Fathers' attitudes and practices toward child injury prevention. (2005). Early stress predicts age at menarche and first birth, adult attachment, and expected lifespan. (2014). Father absence and timing of menarche in adolescent girls from a UK cohort: The mediating role of maternal depression and major financial problems. Journal of A s Father' s Day is drawing near, many of us may find ourselves thinking about our relationships with our fathers. For some of us, this may include memories of fishing trips and baseball games. For others, it may bring back feelings of disappointment and anger about times that our fathers were absent from our lives. Regardless of whether your relationship with your father was something to cherish or something that you would just as soon forget, fathers play a unique and important role in their children' s development, particularly for daughters. Relative to males of other species, human males (or, 'men', as they are more commonly known) invest an exceptional amount of time, energy, and resources in caring for their offspring (Geary, 2000, 2005). A large body of research suggests that this is time well spent. For instance, numerous studies have found an association between father presence and a decreased risk of illness and infant mortality relative to children from single-parent households (Figueredo et al., 2006; Geary, 2000, 2005). As children begin to explore the world around them, paternal involvement is associated with increased self-confidence for environmental exploration and risk-taking (Paquette & Bigras, 2010). Because fathers more than mothers often encourage children to push boundaries (Brussoni & Olsen, 2011), father involvement is also associated with less fear of failure (Teevan et al., 1986) and higher self-esteem (Harper & Ryder, 1986) relative to children who grow up without their biological father. Male parental investment of time and money is also linked with a number of desirable social outcomes, including greater academic achievement in childhood, higher socioeconomic status (SES) in adulthood, and increased upward social Not surprisingly, whereas the presence of one' s father is found to have a positive influence on developmental outcomes, father absence is reliably associated with a variety of dubious psychological dispositions and social outcomes. For instance, research has demonstrated that children from father-absent homes are less able to delay gratification than children from two-parent homes (Mischel et al., …
UX of Social Network Edmodo in Undergraduate Engineering Students

The main objective of this research is to describe the use that students make of an academic SNS (social network service) and detail the relationship between socio-demographic and academic factors associated with the use of EDMODO and the perception of the contribution to the acquisition of skills for the future career. In the analysis of user experience, participants positively evaluated EDMODO and found that the level of satisfaction is positively associated with the academic results obtained, and negatively with perceived usefulness in terms of the impact on their grades.
Texture Features for Image Retrieval using Wavelet Transform

Accuracy and efficiency are two important issues in designing content-based image retrieval system. In this paper we present an approach on a wavelet transform called tree-structured transform or wavelet packets for texture analysis. A simple texture classification algorithm having excellent performance for dominant channels decomposition tree structured is proposed here. The performance of our method is compared with the full-decomposition tree-structured and dimensionally reduced tree structure.
Towards automatic verification of Erlang programs by π-calculus translation

ERLANG is a concurrent, dynamically typed, distributed, purely functional programming language with non-purely functional libraries that is mainly employed in telecommunication systems. This paper provides a contribution to the formal modeling and verificationn of programs written in Erlang. It presents a mapping of Erlang programs to the π-calculus, a process algebra whose name-passing feature allows representation of the mobile aspects of software written in Erlang in a natural way.