Miracle-dz/UniFAR-FTUs huggingface dataset:
PREDICTION OF ANTICANCER / NON-ANTICANCER DRUGS BASED ON COMPARATIVE MOLECULAR MOMENT DESCRIPTORS USING ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE

The structure-activity relationship (QSAR) model developed discriminate anticancer / non-anticancer drugs using machine learning techniques: artificial neural network (ANN) and support vector machine (SVM). The ANN used here is a feed-forward neural network with a standard back-propagation training algorithm. The performance was compared using 13 shape and electrostatic (Molecular Moments) descriptors. For the complete set of 13 molecular moment descriptors, ANN reveal a superior model (accuracy = 86.7%, Qpred = 76.7%, sensitivity = 0.958, specificity = 0.805 Matthews correlation coefficient (MCC) = 0.74) in comparison to the SVM model (accuracy = 84.28%, Qpred = 74.28%, sensitivity = 0.9285, specificity = 0.7857, MCC = 0.6998). These methods were trained and tested on a non redundant data set of 180 drugs (90 anticancer and 90 non-anticancer). The proposed model can be used for the prediction of the anti-cancer activity of novel classes of compounds enabling a virtual screening of large databases.
Relationships Between Online Social Networks and the User-User Bonds that Create Them

Recent studies have extensively examined online social networks, but have analyzed only one network for each set of users. In this work, we use YouTube as a case study and examine multiple networks amongst the same set of users, each generated by a different user-to-user relationship. We report on a number of properties of these networks and the relationships between them focusing on degree distributions, distances between nodes and the sizes of connected components.
An emperical study on sales capabilityand marketing implementation capability of smes in indiaand their impact on market share

Research on marketing capabilities and their linkage with business performance can provide a vital source of knowledge for firms to acquire competitive advantage in an industry. This study attempts to understand the sales capability and marketing implementation capability and its impact on business performance. It focuses on different processes of marketing capability and its effect on market share in B2B set up. The data was analysed by using multivariate analytical tools such as reliability analysis and Pearson correlation analysis. It can be inferred that marketing capabilities result in achieving growth in market share. Market processes and capabilities consist of processes which act as links between the firm and the customer. Hence, to enhance the business performance, firms need to enrich the links between customer and firm. It is, therefore, necessary to undertake a study which can explore different marketing capability processes and link these capabilities with business performance. The proposed research on marketing capabilities aims at delineating the best practices among small and medium enterprises (SMEs) in ‘business-to-business’ context to produce superior results such as firms'improved performance.
Colloquium: Trapping and manipulating photon states in atomic ensembles

Modern optical techniques allow one to accurately control light using atoms and to manipulate atoms using light. In this Colloquium the author reviews several ideas indicating how such techniques can be used for accurate manipulation of quantum states of atomic ensembles and photons. First a technique is discussed that allows one to transfer quantum states between light fields and metastable states of matter. The technique is based on trapping quantum states of photons in coherently driven atomic media, in which the group velocity is adiabatically reduced to zero. Next, possible mechanisms are outlined for manipulating quantum states of atomic ensembles. Specifically, a ‘‘dipole blockade’’ technique is considered in which optical excitation of mesoscopic samples into Rydberg states can be used to control the state of ensembles at the level of individual quanta. It is also noted that even simple processes involving atom-photon correlations can be used to effectively manipulate the ensemble states. Potentially these techniques can be used for implementation of important concepts from quantum information science. CONTENTS
Students’ Satisfaction and Factors in Using Mobile Learning among College Students in Kuwait

Mobile learning (ML) technology and its services have provided a new platform for higher education institutions to enhance the learning process. Mobile learning provides learners with flexibility and ubiquity. However, students’ satisfaction and factors of using ML in private and public universities remain academically unexplored. In this study, the constructivism learning theory was applied to investigate students’ satisfaction and the factors that predict the use of ML among public and private university students in the learning process. The researchers developed a questionnaire with 43 items to gather information about the degree of students’ satisfaction and factors in using mobile learning among college students for both public and private universities in Kuwait. A sample of 1,012 undergraduate students were randomly selected from three different universities in Kuwait. The study was conducted in the second semester of 2015/2016. The results showed that females were more likely to be satisfied with smartphones for educational purposes than males and that Kuwaiti students tend to be more satisfied with smartphones for educational purposes than non-Kuwaiti students. Factors used to predict students’ satisfaction with ML were Internet speed, smartphone portability, smartphone skills, screen size, gender, nationality, and college. The researchers suggest expanding the current study to include graduate students.
Approximations and bounds for binary Markov random fields

Discrete Markov random fields form a natural class of models to represent images and spatial data sets. The use of such models is, however, hampered by a computationally intractable normalising constant. This makes parameter estimation and a fully Bayesian treatment of discrete Markov random fields difficult. We apply approximation theory for pseudo-Boolean functions to binary Markov random fields and construct approximations and upper and lower bounds for the associated computationally intractable normalising constant. As a by-product of this process we also get a partially ordered Markov model approximation of the binary Markov random field. We present numerical examples with both the pairwise interaction Ising model and with higher-order interaction models, showing the quality of our approximations and bounds. We also present simulation examples and one real data example demonstrating how the approximations and bounds can be applied for parameter estimation and to handle a fully-Bayesian model computationally.
Riparian vegetation in production forest at Cemoro-Modang River, Cepu, Central Java

Production forest management is aimed at achieving not only economic benefit, but also environmental and social benefit. Riparian vegetation supports the improvement of environmental protection functions in the production forests. Riparian vegetation offers a number of environmental benefits related to water quality, streambank stabilization, and habitat. The study aims to study the potency of riparian vegetation (i.e. species composition, diversity, and similarity of species composition) in Cemoro and Modang river. This research was conducted in the forest for special purposes of Cemoro-Modang, Blora Regency, Central Java Province at BKPH Pasarsore and BKPH Cabak, KPH Cepu, Perum Perhutani Unit I. The inventory of riparian vegetation was conducted by making transects along the river sides combined with sample plots sized 20 mx20 m for trees, 10 mx10 m for poles, 5 mx5 m for saplings, 2 mx2 m for seedlings and 1 mx1 m for understory. The data collected were analyzed by vegetation analysis: Importance Value Index (IVI), species diversity, and similarity index. The result of the study showed that there are 114 species in the riparian zone of Cemoro-Modang river. There are 6, 2, 20, 16, and 85 species of vegetation for trees, poles, saplings, seedlings and understory vegetation, respectively. Riparian vegetation was dominated by Tectona grandis. Species diversity index for trees and poles were low, saplings and seedlings were moderate and understory was high. Similarity index between Cemoro and Modang river was low (i.e. 40.4%).
ROLE OF INSTITUTIONS IN ECONOMIC PERFORMANCE: AN EMPIRICAL STUDY ON INTERSTATE DIFFERENCES IN INDIAN STATES WITH REFERENCE TO JHARKHAND

Existence of good institutions plays a very important role in economic performance. Though the term ̳institutions‘ covers a very wide spectrum, this paper considers the legal aspect and extent of state intervention as important components of institutions. However political institution has also been identified as an important factor that affects industrial growth and development. This paper empirically examines the significance of these factors in explaining variations in the per capita GDP of the Indian states and the extent of industrial development across them. The study further uses the different indices of institutions for a comparative analysis among the states with reference to Jharkhand. Empirical findings suggest that the extent of state intervention is significant in explaining the variations in State Gross Domestic Product (SGDP) growth whereas legal institutions and political institutions both play a highly significant role in explaining variations in the extent of industrial development across the Indian states.
A Dynamic Analysis of the Link between Public Expenditure and Public Revenue in Nigeria and Ghana

This paper investigated the nature of the relationship between government expenditure and government revenue for Nigeria and Ghana within a dynamic framework. The major empirical and methodological contribution of this study is the use of Dynamic Ordinary Least Squares (DOLS) proposed by Stock and Watson (1993). Dynamic OLS becomes better than OLS by coping with small sample and energetic sources of bias. An Engle-Granger two-step methodology for error correction was employed. The models for revenue and expenditure for the two countries reveal causation running in both directions to and from revenue and expenditure. However, the conclusion drawn from the study supports the fiscal synchronisation hypothesis which is in dissension with views held by earlier researchers. Further, results indicate that lagging, leading and coincident effects of revenue on expenditure and vice versa are present for the two countries. On the other hand, changes in expenditure have a negative impact on revenue for the Nigerian economy and a positive impact for the Ghanaian economy. Moreover, changes in past values of expenditure impact positively on changes in revenue. This finding is peculiar to the Nigerian economy. Keywords: Dynamic ordinary least squares, fiscal synchronisation, hypothesis, error correction.
A survey of real face modeling methods

The face model has always been a research challenge in computer graphics, which involves the coordination of multiple organs in faces. This article explained two kinds of face modeling method which is based on the data driven and based on parameter control, analyzed its content and background, summarized their advantages and disadvantages, and concluded muscle model which is based on the anatomy of the principle has higher veracity and easy to drive.
EXTINCTIONS AND NEW RECORDS OF BIRDS FROM HENDERSON ISLAND, PITCAIRN GROUP, SOUTH PACIFIC OCEAN*

In this preliminary analysis of the subfossil bird bones from Henderson Island 29 taxa were identified, which were divided into five groups: 1) four endemic extinctions, 2) five local extinctions, 3) a minimum of 12 breeding residents, 4) three non-breeding migrants, and 5) five birds of uncertain status. Over half of the landbird species known from Henderson Island are listed here for the first time, including one new genus and at least three new species. Most of the bird bones collected were associated with prehistoric Polynesian occupation sites dating from ca. AD 1000 to 1600. Humans may have caused the extinction of at least four of the eight endemic landbirds, which equates with similar extinction rates on other Pacific islands. -from Authors
Madagascar's escape from Africa: A high‐resolution plate reconstruction for the Western Somali Basin and implications for supercontinent dispersal

Accurate reconstructions of the dispersal of supercontinent blocks are essential for testing continental breakup models. Here, we provide a new plate tectonic reconstruction of the opening of the Western Somali Basin during the breakup of East and West Gondwana. The model is constrained by a new comprehensive set of spreading lineaments, detected in this heavily sedimented basin using a novel technique based on directional derivatives of free‐air gravity anomalies. Vertical gravity gradient and free‐air gravity anomaly maps also enable the detection of extinct mid‐ocean ridge segments, which can be directly compared to several previous ocean magnetic anomaly interpretations of the Western Somali Basin. The best matching interpretations have basin symmetry around the M0 anomaly; these are then used to temporally constrain our plate tectonic reconstruction. The reconstruction supports a tight fit for Gondwana fragments prior to breakup, and predicts that the continent‐ocean transform margin lies along the Rovuma Basin, not along the Davie Fracture Zone (DFZ) as commonly thought. According to our reconstruction, the DFZ represents a major ocean‐ocean fracture zone formed by the coalescence of several smaller fracture zones during evolving plate motions as Madagascar drifted southwards, and offshore Tanzania is an obliquely rifted, rather than transform, margin. New seismic reflection evidence for oceanic crust inboard of the DFZ strongly supports these conclusions. Our results provide important new constraints on the still enigmatic driving mechanism of continental rifting, the nature of the lithosphere in the Western Somali Basin, and its resource potential.
Lost in Transition: The Costs and Consequences of Sectoral Labour Adjustment (Perdus Dans La Transition: Les Coûts Et Conséquences Des Ajustements Sectoriels Du Travail) 

This paper uses an equilibrium search and matching model to study Canada’s sectoral labour adjustment in 2002–2006 during an increase in global commodity prices and exchange rate appreciation. I estimate economically significant adjustment costs for the aggregate economy in this episode and demonstrate that difficulty in transferring skills between jobs for individual workers can be an important contributor to these aggregate costs. The analysis also demonstrates that the level of unemployment benefits impacts the economy’s sectoral composition, its aggregate productivity, and the speed of its adjustment to shocks. (Ce texte utilise un modele d’equilibre de la recherche et de l’arrimage pour etudier les ajustements sectoriels du travail au Canada dans la periode 2002–2006 – une periode d’appreciation des prix globaux des produits de base et du taux de change. J'estime que les couts d’ajustement sont economiquement significatifs pour l’economie agregee au cours de cet episode, et que la difficultea transferer les competences entre emplois pour les travailleurs individuels peut etre une source importante de ces couts agreges. Les analyses montrent aussi que le niveau des prestations d’assurance‐emploi a un impact sur la composition sectorielle de l’economie, sur la productivite, et sur la vitesse des ajustements aux chocs.)
A methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence

This paper proposed a knowledge-based methodology for determining the resolvability of N occluded vehicles seen in a monocular image sequence. The resolvability of each vehicle is determined by: firstly, deriving the relationship between the camera position and the number of vertices of a projected cuboid on the image; secondly, finding the direction of the edges of the projected cuboid in the image; and thirdly, modeling the maximum number of occluded cuboid edges of which the occluded cuboid is irresolvable. The proposed methodology has been tested rigorously on a number of real world monocular traffic image sequences that involves multiple vehicle occlusions, and is found to be able to successfully determine the number of occluded vehicles as well as the resolvability of each vehicle. We believe the proposed methodology will form the foundation for a more accurate traffic flow estimation and recognition system.
Influence of long-term cadmium ions exposure on mitotic and apoptotic activities and protein synthesis in mouse liver

3 Department of Biochemistry, Kaunas University of Medicine, Lithuania The aim of this study was to evaluate in vivo the effects of long-term exposure to cadmium ions (Cd2+) on cell death, mitotic activity and translational machinery of mouse liver cells. It was determined that after intraperitoneal injections of cadmium chloride solution (0.16 mg Cd2+ per 1 kg of body mass) for six weeks, three times per week, the number of TUNEL positive cells containing fragmented nuclei was significantly higher than in control (p < 0.0001); the median score was 1. Cadmium-induced cell death was accompanied by activation of mitosis. These data indicate an activation of liver regeneration during sub-chronic exposure to Cd2+. Examination of liver translation showed that Cd2+ reduced both the incorporation of [14C]-labeled leucine into newly synthesized peptides and proteins and the acceptor activity of tRNALeu. In comparison with the control, liver exposure to Cd2+ caused activation of leucyl-tRNA synthetase.
Energy-conserving local time stepping based on high-order finite elements for seismic wave propagation across a fluid-solid interface

When studying seismic wave propagation in fluid-solid models based on a numerical technique in the time domain with an explicit time scheme it is often of interest to resort to time substepping because the stability condition in the solid part of the medium can be more stringent than in the fluid. In such a case, one should enforce the conservation of energy along the fluid-solid interface in the time matching algorithm in order to ensure the accuracy and the stability of the time scheme. This is often not done in the available literature and approximate techniques that do not enforce the conservation of energy are used instead. We introduce such an energy-conserving local time stepping method, in which we need to solve a linear system along the fluid-solid interface. We validate it based on numerical experiments performed using high-order finite elements. This scheme can be used in any other numerical method with a diagonal mass matrix.
Induction of auditory perceptual learning

Performance on many perceptual tasks improves with practice even in adults, indicating that our sensory systems are not rigid but rather can be changed through experience. My co-workers and I have been investigating the factors that induce perceptual learning on auditory skills. We have evidence that two key requirements for perceptual improvement to occur across days are performance of the task to be learned and a sufficient amount of training per day. Beyond these core requirements, we also have documented that perceptual training can be made more efficient by not exceeding the required amount of daily training and by replacing a subset of the training trials with stimulus exposure alone. The elements of successful training regimens provide insights into perceptual-learning mechanisms. A greater knowledge of these mechanisms will lead to more effective training strategies to help restore perceptual skills in people with perceptual disorders as well as to enhance those skills in people with normal perception.
Cryopreservation: It's Not Just About Cell Yield

I mproved biological packaging for cells, tissues, and organs is necessary to meet the worldwide shipping demands critical to the success of the regenerative/reparative medicine revolution (1). In the first article of our biopreservation series we reviewed the general principles underlying cryopreservation (storage at – 80 to –196 oC) and hypothermic storage (storage at 4 to 8 oC) — the two major biological packaging processes by which cells and tissues are stored and shipped for the in vitro toxicology, drug discovery, cell therapy, and organ transplant markets (2). That article served, in part, as a tutorial detailing how each of the two processes is used, how they differ in complexity, and how a specific bioprocessing application can be best matched to the appropriate biopreservation process. Noted was a common feature shared by both processes and not generally recognized: Most preservation techniques yield suboptimal preservation at multiple levels of transcriptional and enzymatic biochemical responses that occur many hours after return to normothermic conditions (37 oC, for example). Those changes can lead to a loss of cellular function critical to applications that range from the hybridoma bioprocessing industry to cell therapy applications such as pancreatic islet transplantation. Expanding on concepts presented in the first article, this second article focuses primarily on cryopreservation. It discusses the cellular changes and molecular alterations that occur as a result of cryopreservation and their influence on cell viability and function.
Exploring the Meaning of Fun: A Missed Opportunity to Retain Underrepresented Groups in Engineering?

Although more students from underrepresented groups are completing bachelor's degrees in engineering, these groups are still disproportionally represented in engineering professions. Recent research indicates that student engagement, both in and out of the classroom, can contribute to increased engagement and retention in engineering after college. This research sought to understand how “fun” manifests itself in the lives of underrepresented students and how “fun” is linked to student engagement. This case study used semi-structured interviews to investigate two students’ (one Hispanic male and one White female) meaning of “fun” as they described their participation in in-class and out-of-class activities. The major theme that emerged was the importance of fun when participating in both in-class and out-of-class activities. Fun in out-of-class activities was associated with the development of a well-rounded engineer who can effectively manage the dynamics of work/life balance. The interview participants provided examples of fun in-class experiences that increased their levels of engagement through deeplearning instructional strategies. This research contributes a different perspective on student engagement in higher engineering education and supports the value of out-of-class activities and meaningful in-class activities in the development of underrepresented engineering students.
Information Extraction for Ontology Population Tasks. An Application to the Italian Archaeological Domain

In the last year many approaches to Information Extraction (IE) task has been developed. Some of these are concept-based systems which use a reduced number of characteristics in order to represent semantic content. On the other hand, some systems are based on term-representation. More recent techniques involve ontology-based approaches. In fact, “ontologies reflect the structure of the domain and constrain the potential interpretations of terms” [1]. In this paper we present an on-going research, based on Lexicon-Grammar (LG) framework, which aims at improving Term Extraction (TE) in the Archaeological domain. We intend to demonstrate how our language formalization technique can be applied for processing unstructured texts in order to both entity recognition and domain ontology population tasks. Starting from the assumption that a coherent and consistent language formal description is crucial and indispensable to achieve a correct semantic representation of whatsoever knowledge domain, this study focuses on a different approach to content analysis and IE.