Miracle-dz/UniFAR-FTUs huggingface dataset:
The evolution of social media and its impact on organizations and leaders

ABSTRACT This paper examines organizational impacts of social media on Fortune 100 companies over a 5-year period (2011–2016). Specifically, the study focuses on three broad areas of social media impact: (1) the adoption of social media platforms across industries and business models from 2011 to 2016, (2) the influence of social media adoption on the roles of the chief information officer (CIO) and chief marketing officer (CMO) and their changing relationships in companies over this time frame, and (3) the impact of social media on company strategy, governance, and the IT (information technology) and marketing functions. The results support the contention that the CMO role has evolved to meet the technology needs of the marketing function and that the relationship between the CMO and CIO has taken on greater importance. In most Fortune 100 companies in 2016, social media has transitioned to ownership by the marketing department and the CMO provides leadership for social media strategy while working closely with the CIO. This study contributes to a better understanding of the established role of social media in companies, governance structures, and the evolving roles of both the CIO and CMO in relation to social media trends. The study integrates the IT and marketing literature to provide an agenda for future work that builds on theory and establishes an ongoing cohesive research agenda.
Coherence Modeling Improves Implicit Discourse Relation Recognition

The research described in this paper examines how to learn linguistic knowledge associated with discourse relations from unlabeled corpora. We introduce an unsupervised learning method on text coherence that could produce numerical representations that improve implicit discourse relation recognition in a semi-supervised manner. We also empirically examine two variants of coherence modeling: order-oriented and topic-oriented negative sampling, showing that, of the two, topic-oriented negative sampling tends to be more effective.
Introduction method for argumentative dialogue using paired question-answering interchange about personality

To provide a better discussion experience in current argumentative dialogue systems, it is necessary for the user to feel motivated to participate, even if the system already responds appropriately. In this paper, we propose a method that can smoothly introduce argumentative dialogue by inserting an initial discourse, consisting of question-answer pairs concerning personality. The system can induce interest of the users prior to agreement or disagreement during the main discourse. By disclosing their interests, the users will feel familiarity and motivation to further engage in the argumentative dialogue and understand the system’s intent. To verify the effectiveness of a question-answer dialogue inserted before the argument, a subjective experiment was conducted using a text chat interface. The results suggest that inserting the question-answer dialogue enhances familiarity and naturalness. Notably, the results suggest that women more than men regard the dialogue as more natural and the argument as deepened, following an exchange concerning personality.
An Overlapping Cell Image Synthesis Method for Imbalance Data

DNA ploidy analysis of cells is an automation technique applied in pathological diagnosis. It is important for this technique to classify various nuclei images accurately. However, the lack of overlapping nuclei images in training data (imbalanced training data) results in low recognition rates of overlapping nuclei images. To solve this problem, a new method which synthesizes overlapping nuclei images with single-nuclei images is proposed. Firstly, sample selection is employed to make the synthesized samples representative. Secondly, random functions are used to control the rotation angles of the nucleus and the distance between the centroids of the nucleus, increasing the sample diversity. Then, the Lambert-Beer law is applied to reassign the pixels of overlapping parts, thus making the synthesized samples quite close to the real ones. Finally, all synthesized samples are added to the training sets for classifier training. The experimental results show that images synthesized by this method can solve the data set imbalance problem and improve the recognition rate of DNA ploidy analysis systems.
Energy dispersion in turbulent jets. Part 1. Direct simulation of steady and unsteady jets

Abstract We study the physics of unsteady turbulent jets using direct numerical simulation (DNS) by introducing an instantaneous step change (both up and down) in the source momentum flux. Our focus is on the propagation speed and rate of spread of the resulting front. We show that accurate prediction of the propagation speed requires information about the energy flux in addition to the momentum flux in the jet. Our observations suggest that the evolution of a front in a jet is a self-similar process that accords with the classical dispersive scaling $z\sim \sqrt{t}$ . In the analysis of the problem we demonstrate that the use of a momentum–energy framework of the kind used by Priestley & Ball (Q. J. R. Meteorol. Soc., vol. 81, 1955, pp. 144–157) has several advantages over the classical mass–momentum formulation. In this regard we generalise the approach of Kaminski et al. (J. Fluid Mech., vol. 526, 2005, pp. 361–376) to unsteady problems, neglecting only viscous effects and relatively small boundary terms in the governing equations. Our results show that dispersion originating from the radial dependence of longitudinal velocity plays a fundamental role in longitudinal transport. Indeed, one is able to find dispersion in the steady state, although it has received little attention because its effects can then be absorbed into the entrainment coefficient. Specifically, we identify two types of dispersion. Type I dispersion exists in a steady state and determines the rate at which energy is transported relative to the rate at which momentum is transported. In unsteady jets type I dispersion is responsible for the separation of characteristic curves and thus the hyperbolic, rather than parabolic, nature of the governing equations, in the absence of longitudinal mixing. Type II dispersion is equivalent to Taylor dispersion and results in the longitudinal mixing of the front. This mixing is achieved by a deformation of the self-similar profiles that one finds in steady jets. Using a comparison with the local eddy viscosity, and by examining dimensionless fluxes in the vicinity of the front, we show that type II dispersion provides a dominant source of longitudinal mixing.
Differentially Private Hierarchical Count-of-Counts Histograms

We consider the problem of privately releasing a class of queries that we call hierarchical count-of-counts histograms . Count-of-counts histograms partition the rows of an input table into groups (e.g., group of people in the same household), and for every integer j report the number of groups of size j . Hierarchical count-of-counts queries report count-of-counts histograms at different granularities as per hierarchy defined on an attribute in the input data (e.g., geographical location of a household at the national, state and county levels). In this paper, we introduce this problem, along with appropriate error metrics and propose a differentially private solution that generates count-of-counts histograms that are consistent across all levels of the hierarchy.
Landscape, time and cultural resilience: a brief history of agriculture in Pokot and Marakwet, Kenya

ABSTRACT The Marakwet and Pokot communities of northwest Kenya are keen farmers, known notably for their creation of extensive pre-colonial irrigation networks. Over the last century both communities have been subjected to a range of external agricultural interventions but Marakwet and Pokot farming remains largely based on practices with a deeper history. We argue, however, that this continuity through time also masks smaller-scale innovations, movements and changes that attest to a dynamic, yet hidden ‘cultural resilience' spanning several centuries. We explore this deeper history through a range of archaeological, ethnographic and historical data and use this analysis to re-think the various agricultural narratives and interventions previously employed in the region.
Implementing sustainability in small and medium-sized construction firms: The role of absorptive capacity

Purpose – Construction organisations are becoming increasingly aware of the impacts of their operations, from both an environmental and, more recently, a social viewpoint. Sustainability standards can enable an organisation to evidence a benchmarked level of performance against a particular issue. To date, research on standards has largely focused on the operational and administrative aspects of their enactment, rather than how they might affect – and be appropriated by – organisational actors. The purpose of this paper is to examine how capacity for learning can affect the success of implementing standards within two construction SMEs. Design/methodology/approach – Taking an organisational learning and absorptive capacity (ACAP) perspective, this research uses the case study approach and abductive logic to understand what role learning plays with regard to sustainability standard implementation. Findings – The results reveal that strong communication channels and commitment to training programmes increas.
Experimental results using corona discharge to attempt to reproduce the Turin Shroud Image

It is well known that the Turin Shroud (TS) body image is not reproducible with all its peculiar features, but a great number of attempts have been made to reproduce at the same time the macro- and micro-scale properties of the double (front and back) image of the human body impressed on the most important Relic of the Christianity. The authors are convinced that among these experiments, those performed using CD (Corona Discharge) allowed to reproduce the greatest number of similarities.The experiments were performed in the high-voltage laboratory of the University of Padua where CD was used to produce human images using linen clothes enveloping a half-scale conductive manikin of a man postured in the same way as the TS Man.The manikin was suspended from ground and connected through the feet to a 300-kV DC supply. The resulting CD produced a human image on the enveloping linen cloth after proper aging. Due to the draping configuration, the image showed various distortions of pseudo-cylindrical type.The structure of the resulting electric field and the influence of the cover producing a partial barrier effect was studied together with the pseudo-cylindrical distortions that resulted less evident in the TS image. This information was used to study the enveloping configuration of the TS during the image formation
RhierBAPS: An R implementation of the population clustering algorithm hierBAPS

Identifying structure in collections of sequence data sets remains a common problem in genomics. hierBAPS, a popular algorithm for identifying population structure in haploid genomes, has previously only been available as a MATLAB binary. We provide an R implementation which is both easier to install and use, automating the entire pipeline. Additionally, we allow for the use of multiple processors, improve on the default settings of the algorithm, and provide an interface with the ggtree library to enable informative illustration of the clustering results. Our aim is that this package aids in the understanding and dissemination of the method, as well as enhancing the reproducibility of population structure analyses.
Secure and Dependable Cloud Storage Services for CRM U .

Cloud storage allows users to remotely store their knowledge and luxuriate in the on-demand prime quality cloud applications while not the burden of native hardware and software package management. Although the advantages area units clear, such a service is additionally relinquishing users’ physical possession of their outsourced knowledge that inevitably poses new security risks toward the correctness of the info in cloud. So as to handle this new downside and additional come through a secure and dependable cloud storage service, we have a tendency to propose during this paper a versatile distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded knowledge. The projected style permits users to audit the cloud storage with terribly light-weight communication and computation price. The auditing result not solely ensures robust cloud storage correctness guarantee, however additionally at the same time achieves quick knowledge error localization, i.e., the identification of misbehaving server. Considering the cloud knowledge area unit dynamic in nature, the projected style additional supports secure and economical dynamic operations on outsourced knowledge, as well as block modification, deletion, and append. Analysis shows the projected theme is very economical and resilient against Byzantine failure, malicious knowledge modification attack, and even server colluding attacks.
Fisher ’ s Effect in Nigeria : Empirical Analysis using ARDL ( Bound Test ) Approach

There has been controversy over the submission on the fisher hypothesis; that there must be a one-to-one relationship between interest rate and inflation. Perhaps, several methods have been used to establish the theoretical framework of the fisher effect, but full fishers effect results was not actualized in Nigeria. On this basis, the study re-examine the fisher effects in Nigeria considering the scope between 1986 – 2011( post-SAP era). The newly developed Autoregressive Distributed Lags (ARDL) model to cointegration was employed to investigate the existence of a long run relation among the series, and also the existence of fisher effect. The study reveals a partial fisher effect for the post-SAP era in Nigeria; a negative relation between interest rate and consumer price index while there exist a positive relation with broad money supply. There exist a long run cointegration among interest rate, money supply and consumer price index a proxied as inflation.
Moving toward Xeno-free Culture of Human Pluripotent Stem Cells

Human pluripotent stem cells (hPSCs) were conventionally cultured on feeder cells that are isolated from mouse embryonic fibroblast (MEF). However, these culture compo‐ nents could contaminate the hPSCs and can limit the application of hPSCs for clinical use. On the other hand, we demonstrated that exogenous basic fibroblast growth factor (bFGF) could be omitted from the hPSC culture media if we used the suitable feeder cells. We also showed that although hPSCs can proliferate on the feeder-free culture system, however, genetic instability of hPSCs has been reported in such environment. Feeder cells enable hPSCs to maintain their pluripotency. The feeder cells are usually grown in a culture medium containing fetal bovine serum (FBS) prior to coculture with hPSCs. The use of FBS might limit the clinical application of hPSCs. We proposed the use of human cord blood-derived serum (hUCS) and showed a positive effect on culture of mesenchymal stem cells. The results showed that human foreskin fibroblasts (HFFs) cultured in hUCS-containing medium (HFF-hUCS) displayed fibroblastic features, short population doubling times, high proliferation rates, and normal karyotypes after prolonged culture. These studies of hPSC xeno-free culture have been growing in both basic research and clinical trial. The data regarding the current clinical trials of using hPSCs convince the researchers not only about the possibility of application of hPSCs for cell-based therapy, but also the quality of established hPSC lines. Most of the hPSC lines that were published in the literature and registered in the National Institute of Health (NIH), hPSCreg of the European Union are not Good Manufacturing Practice (GMP) grade cell lines. Since one of the goals of using hPSCs is therapeutic purpose, GMP for derivation, cultivation, and handling
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance

The Wasserstein distance between two probability measures on a metric space is a measure of closeness with applications in statistics, probability, and machine learning. In this work, we consider the fundamental question of how quickly the empirical measure obtained from $n$ independent samples from $\mu$ approaches $\mu$ in the Wasserstein distance of any order. We prove sharp asymptotic and finite-sample results for this rate of convergence for general measures on general compact metric spaces. Our finite-sample results show the existence of multi-scale behavior, where measures can exhibit radically different rates of convergence as $n$ grows.
Chapter 3 Helicobacter pylori and Hematologic Diseases

Helicobacter pylori infection is the most common infection of the human species, with de‐ veloping countries displaying a marked disadvantage in contrast to developing coun‐ tries. While H. pylori infection is asymptomatic in most infected individuals, it is intimately related to malignant diseases of the stomach, such as gastric cancer and gastric MALT lymphoma, as well as benign diseases, for example chronic gastritis and duodenal and gastric peptic ulcers. Since the discovery that gastric mucosa could be colonized by bacteria, evidence of greater than 50 extragastric manifestations has been reported, link‐ ing H. pylori infection and the development of diseases associated with cardiology, der‐ matology, endocrinology, obstetrics and gynecology, hematology, pneumology, neurology, odontology, ophthalmology, otorhinolaryngology, and pediatrics. This chap‐ ter presents the extragastric manifestations of H. pylori infection expressed through hema‐ tologic diseases; particularly those included in the international consensus, and discusses guidelines for the management of H. pylori infection, such as iron deficiency, vitamin B12 (cobalamin) deficiency, and immune thrombocytopenia. Other manifestations reviewed include immune neutropenia, antiphospholipid syndrome, and plasma cell dyscrasias, such us monoclonal gammopathy of undetermined significance, multiple myeloma, and Henoch–Schönlein purpura.
Two-Level Block Decompositions for Solving Helmholtz Equation via Chebyshev Pseudo Spectral Method

In this paper, we consider solving the Helmholtz equation in the Cartesian domain , subject to homogeneous Dirichlet boundary condition, discretized with the Chebyshev pseudo-spectral method. The main purpose of this paper is to present the formulation of a two-level decomposition scheme for decoupling the linear system obtained from the discretization into independent subsystems. This scheme takes advantage of the homogeneity property of the physical problem along one direction to reduce a 2D problem to several 1D problems via a block diagonalization approach and the reflexivity property along the second direction to decompose each of the 1D problems to two independent subproblems using a reflexive decomposition, effectively doubling the number of subproblems. Based on the special structure of the coefficient matrix of the linear system derived from the discretization and a reflexivity property of the second-order Chebyshev differentiation matrix, we show that the decomposed submatrices exhibits a similar property, enabling the system to be decomposed using reflexive decompositions. Explicit forms of the decomposed submatrices are derived. The decomposition not only yields more efficient algorithm but introduces coarse-grain parallelism. Furthermore, it preserves all eigenvalues of the original matrix.
Betting Against the Glass Ceiling: Supervisor Gender & Employee Job Satisfaction in the Casino-Entertainment Industry

This exploratory study expands on hospitality management literature, specifically on the influence of a supervisor’s gender in regards to employee job satisfaction within the casino-entertainment sector. Employee job satisfaction was analyzed using company, department, and supervisor variables based on 961 surveys. The study’s results suggest that employees with male supervisors have a higher employee satisfaction level than employees with supervisors that are female. Hospitality organizations are therefore encouraged to create leadership programs to ensure women are a part of corporate leadership’s success formula for the future.
Implementing Personnel Management System as SaaS

Cloud computing is where software applications, data storage and processing capacity are accessed via the internet. This paper involves with analysis of the importance of cloud computing in software application developed as a service. To achieved that, a web based application OPMaSwas developed to provide service that will improvetheaudit readiness and compliance, couple with conformance to records retention policies and automated record management bundled using SaaS model. The web application is meant to manage personnel of any given organization, providing strong functionalities developed in modules such as; personnel information management module, training information management module, leave management module, resume management module, appraisal management module, document management module, reporting module and payroll management module. This applies to a lot of third world countries especially in Nigeria where interest e-commerce is fast growing. The system was evaluated using software performance methods where a reasonable performance was achieved as compared to state of the art software.