Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Health Technology and Healthcare Providers: Systemic Barriers to Adoption

Objectives Despite the growing use of mobile health (mHealth), certain barriers seem to be hindering the use of mHealth applications in healthcare. This article presents a systematic review of the literature on barriers associated with mHealth reported by healthcare professionals. Methods This systematic review was carried out to identify studies published from January 2015 to December 2019 by searching four electronic databases (PubMed/MEDLINE, Web of Science, Embase, and Google Scholar). Studies were included if they reported perceived barriers to the adoption of mHealth from healthcare providers’ perspectives. Content analysis and categorization of barriers were performed based on a focus group discussion that explored researchers’ knowledge and experiences. Results Among the 273 papers retrieved through the search strategy, 18 works were selected and 18 barriers were identified. The relevant barriers were categorized into three main groups: technical, individual, and healthcare system. Security and privacy concerns from the category of technical barriers, knowledge and limited literacy from the category of individual barriers, and economic and financial factors from the category of healthcare system barriers were chosen as three of the most important challenges related to the adoption of mHealth described in the included publications. Conclusions mHealth adoption is a complex and multi-dimensional process that is widely implemented to increase access to healthcare services. However, it is influenced by various factors and barriers. Understanding the barriers to adoption of mHealth applications among providers, and engaging them in the adoption process will be important for the successful deployment of these applications.
Practice‐based learning in entrepreneurship education: A means of connecting knowledge producers and users

Purpose – The purpose of this paper is to propose a practice‐based entrepreneurship education programme which enhances collaboration between educational institutions and the small business community as a means of producing a more employable, well rounded and skilled graduates.Design/methodology/approach – A case description of the business consulting programme operated at the University of Limerick.Findings – The findings highlight how a practice‐based learning module brings real business learning into the classroom and simultaneously attends to the needs of different internal and external stakeholders by producing a more flexible and employable professional graduate. Furthermore, it creates a more meaningful relationship between education institutions (knowledge producers) and industry (knowledge users). Research limitations/implications – Educators need to evaluate the benefits of practice‐based learning programmes from the external stakeholder perspective as a basis of identifying more innovative practi.
Organizational evolution and semiotics in complex environments: the case of the aerial safety

The effort in advanced information system that many organizations have achieved to improve performance under foreseeable situations has increased organizational complexity decreasing the capacity to deal with unforeseen situations. At this respect, our research question is: what is the limit for this model of development? Once reached, what are the alternatives to improve? An explanation can be organized around semiotic. To do this, the aerial safety learning model and its collateral effects will be analyzed.
Implementing Flipped Classroom Strategy in Learning Programming

Novice students encountered many difficulties and challenges when learning to program. They face problems in terms of high cognitive load in learning and lack of prior programming knowledge. Various strategies and approaches are implemented to overcome the difficulties and challenges in programming. A flipped classroom is an active learning strategy implemented in many subjects and courses, including programming. The flipped classroom strategy consists of three phases, namely, pre-class, in-class, and post-class. A focus group discussion is conducted involving 13 participants from various learning institutions. The purpose of the study is to discuss the implementation of flipped classroom strategy in programming. The study also identifies a technique for monitoring students' involvement in activities outside the classroom and proper motivation to engage students in programming. Related research questions are constructed as guidelines for the discussion. The deductive thematic analysis is performed on the transcripts of the discussion. As a result, four pre-determine codes and two codes were generated from the analysis. This study identifies suitable activities, tools, monitoring strategies, and motivation to support the implementation of a flipped classroom in programming. There is good potential through flipped classrooms in learning programming with a systematic and careful planned
When Moving‐Average Models Meet High‐Frequency Data: Uniform Inference on Volatility

We conduct inference on volatility with noisy high‐frequency data. We assume the observed transaction price follows a continuous‐time Itô‐semimartingale, contaminated by a discrete‐time moving‐average noise process associated with the arrival of trades. We estimate volatility, defined as the quadratic variation of the semimartingale, by maximizing the likelihood of a misspecified moving‐average model, with its order selected based on an information criterion. Our inference is uniformly valid over a large class of noise processes whose magnitude and dependence structure vary with sample size. We show that the convergence rate of our estimator dominates n 1/4 as noise vanishes, and is determined by the selected order of noise dependence when noise is sufficiently small. Our implementation guarantees positive estimates in finite samples.
Possibility of Using Bacteria-Destructors for Cypermetrin Degradation

From soils artificially contaminated with cypermethrin, 3 isolates were obtained that were resistant to cypermethrin concentrations of 40 mg/kg soil, and their morphological, cultural and biochemical properties were studied. On the basis of the obtained strains, a bacterial consortium was developed, which consists of the cultures of Pseudomonas sp. , Bacilus sp. and Ochrobactrum sp. Laboratory experiments on the decomposition of cypermethrin showed the effectiveness of this consortium, within 28 days the decomposition of cypermethrin (40 mg/kg) was 100%.
2D‐FDTD modeling of wire antennas near artificial impedance surfaces

This Letter deals with wire antennas radiating in the vicinity of an impedance surface. The use of impedance surfaces has been suggested, for instance, in the context of antenna reflectors. In this Letter a numerical surface impedance model is introduced. Some radiation patterns are calculated to validate the model. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 34: 38–40, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10366
Saturation Consideration in Modeling of the Induction Machine Using Subdomain Technique to Predict Performance

In this article, the analysis of induction machines using five separated subdomains including the rotor slot, rotor slot opening, airgap, stator slot opening, and stator slot regions is considered. The Maxwell equations of each region are solved considering the boundary conditions. Uniform distributions of the current density in the rectangular slots of both the rotor and stator are considered to find the energy of the winding and to calculate the machine inductances using the energy equation. The calculated flux density of each subdomain is used to find the flux distribution. The calculated magnetic flux intensities are required to estimate the saturation level of the motor cores and correct the saturation-related values such as the leakage and magnetizing inductances. The machine core losses are calculated based on the Steinmetz equation at the no-load condition. The calculated inductances and resistances are used in the equivalent circuit of the squirrel-cage induction machine (SCIM) for the performance prediction. The results demonstrate the reliability of the saturation model in the prediction of the saturation influence in a wide range of magnetization levels. The accuracy of the proposed model in the prediction of the performance of the SCIM is validated using two-dimensional (2-D) and 3-D finite-element analysis results. A sensitivity analysis with 75 different geometries was conducted to show the capability of the model for the performance prediction of a wide range of induction machines.
Communications of the Association for Information Systems Communications of the Association for Information Systems

: Changes in technology that have allowed organizations to capture, transmit, store, and analyze data at unprecedented levels have created numerous opportunities for both the organizations themselves and society. However, in conjunction with the opportunities that big data analytics promises, some have expressed concerns about the ethics involved in using and applying big data. In this debate, we develop questions that researchers and practitioners should consider regarding privacy, accuracy, property, accessibility, and society via identifying big data analytics’ inputs, processes, and outputs. We do so to begin a dialogue in the information systems discipline related to the ethical issues associated with big data analytics and how we as IS researchers, teachers, and practitioners can ensure we use, analyze, interpret, and apply data in a responsible and appropriate manner.
Conducted EMI analysis of a boost PFC circuit

Because of the stringent EMI regulation, noises generated from high switching frequency converters need to be analyzed and suppressed. EMI noises in power converters are generally layout and package related. This paper outlines an approach to the analysis of conducted EMI noise using the partial element equivalent circuit (PEEC) method, where parasitic elements are extracted. As an illustration, the EMI analysis of a boost PFC ballast circuit is performed. Theoretical predictions of common-mode, differential-mode, and total conducted EMI noises are verified by experimental measurements. Design guidelines on circuit layout and packaging are presented for EMI noise minimization.
Supervised Classification Problems – Taxonomy of Dimensions and Notation for Problems Identification

The paper proposes a taxonomy for categorizing the main features of the supervised learning classification problems and a notation for the identification of the supervised learning classification problem categories. The proposed taxonomy has been based on the review and analysis of the recent literature. It allowed the construction of the landscape of decision problem factors influencing the supervised learning processes. To enable a concise and coherent identification of supervised classification problems we have suggested a notation enabling description and identification of various supervised learning classification problem types and their critical features. The notation consists of 5 fields representing, in a sequence, a structure and properties of decision classes, structural model and properties of attributes, features of the data source, and the performance measure used for constructing and evaluating a classifier. The proposed notation is open and could be extended in the case of need new developments within the machine learning theory.
Localization with binaural recordings from artificial and human heads

Previous experiments have shown that localization with binaural recordings made with artificial heads is inferior to localization in real life and also to localization with recordings made in the ears of selected humans. These results suggest that artificial heads may be improved. A new experiment was made, employing recordings from two human heads and seven artificial heads some of which had been developed recently. The listening room setup from previous experiments was used and 20 listeners participated. As in the earlier experiments, more directional errors were seen with binaural recordings than in real life. A clear learning effect was seen over five days, emphasizing the need of a balanced experimental design. The new results show that artificial heads are still not as good for recording as a well-selected human head, although some of the new heads come close. The accumulated results from the present and four earlier studies provide sufficient statistics to conclude that there are significant differences between some currently available artificial heads.
Design of a miniaturized and broadband embedded communication antenna

In this paper, a miniaturized and broadband embedded communication antenna has been designed. In the design, miniaturization was achieved by top-loading metal disc and short-circuit columns. The bandwidth of the design is more than 25%. The H-plane gain is more than −2dBi, and the horizontal gain roundness is less than 3dB.
Virtual Screening to Identify the Protein Network Interaction of Berberine with Red Complex Pathogens

Introduction: Periodontal disease is an infection of the tissues that hold your teeth in place. It's typically caused by poor brushing and flossing habits that allow plaque, a sticky film of bacteria, to build up on the teeth and harden. Elimination of these pathogens from the site of infection remains a perplexing task, which demands the use of antibiotics. The emergence of drug resistant forms has spurred interest into identifying novel therapeutic targets against these pathogens. Aim: The present study employs virtual screening method to identify the protein network interaction of berberine with red complex pathogens. Materials and Methods: Computational tools were used to identify the targets, assess their functional role and virulence property. Further, the peptide epitopes present in the virulence factors were identified using the BepiPred tool. The subcellular location of the virulence proteins was also elucidated using PSORTb. Results: Berberine was found to target vital protein transporters such as TetR family transcriptional regulator and MerR family transcriptional regulator, which is known to play a crucial role in the survival of bacterial cells. Conclusion: Hence the present study provides preliminary data on the protein targets of berberine against red complex pathogens. However, in vitro studies using the compound is warranted to further confirm the efficacy of the compound.
DarkVLP: “Lights-Off” Visible-Light Positioning

Visible-light positioning (VLP) has been considered as a promising indoor positioning technology due to its high precision and low cost. However, current VLP techniques are greatly limited by the assumption that lights have to be turned on to emit shining light beams, which is not applicable to scenarios that do not need the illumination all the time. In this article, we design and implement a novel VLP system, DarkVLP, to achieve high-precision positioning when lights are “turned off. ” The “turn off” state means lights emit the extremely low luminance that is imperceptible to human eyes. In order to realize such a system, we have to tackle nontrivial challenges in data encoding/decoding, modulation/demodulation, and positioning algorithm. Specifically, we propose the sliding rheostat-based modulation scheme to eliminate the need of a complex signal synchronization mechanism and landmark recognition algorithm at the receiver. We also propose the dual-photodiode-based positioning algorithm, which effectively mitigates effects of substantial signal strength fluctuation, to reliably achieve VLP. In the end, we design novel circuits and prototype our system DarkVLP on commercial off-the-shelf devices. The results of extensive experiments demonstrate that our DarkVLP system could achieve submeter precision under the extremely low luminance, which greatly broadens application scenarios of VLP.
Strategy for the Development of a New Lipstick Formula

The strategy to adopt for the development of a new lipstick formula requires, as a first step, the definition of the most important characteristics of a modern product. Successively, the identification of the key properties of any innovative ingredient is necessary. Then, a comprehension of the key parameters in the establishment of a stable equilibrium among the different formula components in the solid state is important. Moreover, it is necessary to study the interactions among the new ingredients and the other structural components in the formula. Finally, an evaluation of the sensory properties of the different final formulae for fine-tuning of practical performances needs to be carefully carried out. In this study, a systematic formulation approach tried to obtain a new lipstick formula using a new vegetal-derived emollient *(INCLUDING COCO-CAPRYLATE/CAPRATE, HYDROGENATED OLIVE OIL UNSAPONIFIABLES) with sensorial properties similar to some types of silicones. Some application trials of the new raw material were carried out. The following aspects of this ingredient were investigated: (1) Compatibility and thickening with waxes, (2) dispersion power of pigments, and (3) influence on sensory characteristics of the formulated lipstick. This new emollient has been shown to improve some aspects of a lipstick formula, in particular shine, homogeneity, and covering effect. The optimization of the formula, in order to increase the sensation of softness on the lips, is described. *Plantasens Olive LD SP ECO, supplier Clariant Gmbh.
Stochastic modelling for traffic crashes on non urban highways in India

In this paper an attempt has been made to develop correlation between highway geometric parameters, traffic parameters and crash rate for two lane non urban highways. To simulate the stochastic nature of crash occurrence, Poisson regression and negative binomial regression has been employed. A detailed study has been carried out on a two lane non urban highway (National Highway No 58) in India. The study included collecting of traffic and geometric features of the highway along with past crash data for 8 years. Variables included in the model are access density per km, curve density per km, intersection density per km, space mean speed, shoulder width, volume of heavy vehicles, volume of non-motorized and animal drawn vehicles and total volume. The dependent variable is crash rate per year per km. Strong positive relationships were observed between volume of heavy vehicle and crashes and speed and crash rate. Shoulder width and lane width show negative relationship with crash rate.
A SYSTEM ARCHITECTURE FOR VISUAL TRAFFIC SURVEILLANCE

In this paper, a VTS architecture is proposed, which incorporates background estimation, lane detection, occlusion detection, feature extraction and parameter estimation into a framework of vehicle extraction, modeling, motion estimation and tracking. In principle, the background estimation uncovers the stationary background, which can be used for extracting the moving vehicles. The lane detection produces centerlines that can simplify the modeling and motion estimation. The occlusion detection reduces ambiguity arising from motion estimation. The feature extraction allows identification and labeling of individual vehicles whereas the parameter estimation retrieves information such as flow rate and saturation rate. Extensive testing of the proposed architecture on real traffic sequences shows that it is indeed capable of dealing with occlusion, tracking vehicles and estimating travel parameters in an accurate and robust manner. For the covering abstract see IRRD E102946.
Cardiomyocytes Cellular Phenotypes After Myocardial Infarction

Despite the increasing success of interventional coronary reperfusion strategies, mortality related to acute myocardial infarction (MI) is still substantial. MI is defined as sudden death of myocardial tissue caused by an ischemic episode. Ischaemia leads to adverse remodelling in the affected myocardium, inducing metabolic and ionic perturbations at a single cell level, ultimately leading to cell death. The adult mammalian heart has limited regenerative capacity to replace lost cells. Identifying and enhancing physiological cardioprotective processes may be a promising therapy for patients with MI. Studies report an increasing amount of evidence stating the intricacy of the pathophysiology of the infarcted heart. Besides apoptosis, other cellular phenotypes have emerged as key players in the ischemic myocardium, in particular senescence, inflammation, and dedifferentiation. Furthermore, some cardiomyocytes in the infarct border zone uncouple from the surviving myocardium and dedifferentiate, while other cells become senescent in response to injury and start to produce a pro-inflammatory secretome. Enhancing electric coupling between cardiomyocytes in the border zone, eliminating senescent cells with senolytic compounds, and upregulating cardioprotective cellular processes like autophagy, may increase the number of functional cardiomyocytes and therefore enhance cardiac contractility. This review describes the different cellular phenotypes and pathways implicated in injury, remodelling, and regeneration of the myocardium after MI. Moreover, we discuss implications of the complex pathophysiological attributes of the infarcted heart in designing new therapeutic strategies.
An Analysis of the Strategy of Product Platform

Product platform is a set of subsystems and interfaces that form a common structure from which a stream of related products can be efficiently developed and produced. Core capability is a key driver for successful product platform development and core technology is the basis of all competitive strategies for high-tech enterprises and their products, and the core products supported by it is the physical embodiment of core competence.
Faith, Hope, Charity

New updated! The latest book from a very famous author finally comes out. Book of faith hope charity, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
Gate-Length Biasing Technique of Complementary Pass-Transistor Adiabatic Logic for Leakage Reduction

Scaling down sizes of MOS transistors has resulted in dramatic increase of leakage currents. To decrease leakage power dissipations is becoming more and more important in low-power nanometer circuits. This paper proposes a gate-length biasing technique for complementary pass-transistor adiabatic logic (CPAL) circuits to reduce sub-threshold leakage dissipations. The flip-flops based on CPAL circuits with gate-length biasing techniques are presented. A traffic light controller using two-phase CPAL with gate-length biasing technique is demonstrated at 45nm CMOS process. The BSIM4 model is adopted to reflect the characteristics of the leakage currents. All circuits are simulated using HSPICE. Simulation results show that the CPAL traffic light controller with the gate-length biasing technique attains 20% to 5% energy savings compared with the one using the original gate length 25MHz to 200MHz.