Online Table Research Articles

PECULIARITIES OF MARKETING AND BRANDING IN THE CONFECTIONERY AND CAFE INDUSTRY

The purpose of this article is to determine the essence and theoretical features of marketing and branding in the confectionery and cafe industry, as well as the challenges associated with marketing activities in these establishments. The main research methods used in the article include induction, synthesis, analysis, comparison, and generalization. The specific features of marketing activities in confectioneries and cafes have been identified. The impact of marketing efforts on service delivery in these establishments has been studied. Key problems arising from marketing activities and brand promotion in confectioneries and cafes have been identified. Various tools used in marketing efforts within this industry, which constitute the marketing mix or marketing complex, have been explored. The peculiarities of developing a marketing plan for confectioneries and cafes using the “5R+1C” integrated marketing model, and elements of the marketing mix specific to the food industry, are discussed. The ecosystem of the internet marketing strategy for confectioneries and cafes is outlined. The necessity for increasing social media activity (SMM) and enhancing market recognition, as well as developing a user-friendly website with online table reservations and sweet order functionalities, has been emphasized. Directions for optimizing the digital strategy effectiveness for confectioneries and cafes, focused on improving brand recognition among target audiences, are proposed. Factors influencing the selection of Google’s contextual media network for the promotion of confectioneries and cafes are outlined. The required changes for social media pages and websites to enhance brand promotion are discussed. International experiences regarding the efficacy of business tools in the food industry, incorporating marketing concepts, are also explored. The main idea of advertising campaigns, centered around creating favorable conditions for customer purchases and replicating the brand’s style in every part of the establishment, is reviewed. The specifics of consumer loyalty, shaped by the brand’s appearance, communication, establishment design, and available offerings, are also examined.

The Effect of Online Table Course Videos Created with the Micro-Learning Method on Learning According to the Participants' View

The Effect of Online Table Course Videos Created with the Micro-Learning Method on Learning According to the Participants' View

DineEase

Abstract: This research paper explores the development and implementation of an online food ordering and table booking system, called "DineEase," for the college canteen. In the modern era, customers increasingly seek convenient and user-friendly methods to order food and reserve tables. DineEase addresses these demands by providing an intuitive online platform that enables customers to order meals and book tables effortlessly from their personal devices. This paper discusses the advantages, features, and future prospects of DineEase, as well as the challenges encountered during its creation and the corresponding solutions devised. By implementing DineEase, the college canteen aims to enhance customer satisfaction, streamline operations, and embrace the digital transformation in the food service industry.

A Software and Hardware Cooperation Method for Full Nyquist Rate Transmission Symbol Synchronization at E-Band Wireless Communication.

Compared with the conventional pulse-shaping transmission system, the full Nyquist rate transmission system with large bandwidth is sensitive to the sampling phase. It has only one sample available in one symbol period and is easily interfered by the channel, which does not allow the traditional symbol synchronization methods to be used directly. Another challenge is that the resource utilization for sampling data processing needs to be minimized due to the excessive consumption of the high data throughput in hardware resources. To solve these issues, we propose a symbol synchronization method based on the combination of software and hardware, which mainly includes two processes: Obtaining the initial phase by using Chirp signal and MOE criterion before communication; tracking the real-time phase using an on-line gradient table and frequency domain analysis of known data during communication. Both processes are proceeded with a phase adjustable clock. Through hardware verification, the sampling phase can be kept close to the optimal phase, thus ensuring the accuracy of the sampling data, and improving the system BER performance.

Wagers.com Wonks: A Look Ahead to 2022

Wagers.com Wonks: A Look Ahead to 2022

Erratum to Online Table of Contents. The International Journal of Entrepreneurship and Innovation 22(2)

Erratum to Online Table of Contents. The International Journal of Entrepreneurship and Innovation 22(2)

ONLINE TABLE RESERVATION WITH PRE-ORDERING

Online Table Reservation System is aweb-based solution for a Restaurant’s Pre-Ordering module; automation and digitalization of table reservation process along with pre-ordering of food and parking spot allocation. This system would allow restaurants to increase the scope of business and save a lot of time with table reservations as previous bookings are open. The system also makes it possible to quickly and easily control an online menu that customers can search and use with only a few clicks to place orders. Recommendations would be based on user activation and specifications. A new user would be recommended of the restaurants available best sellers while a regular would be recommended based on their previous food selections. Their starter and other food selections would also raise recommendations. The table will be reserved along with a parking space on the appropriate time-slot so that users do not face inconvenience. Using this system as a building block, we can develop a smartphone-compactable software application

Use of the online Framingham platform for the evaluation of the cardiovascular risk in diabetes mellitus and systemic arterial hypertension patients in primary health care

BackgroundCardiovascular disease (CVD) is influenced by several factors. In this context, identifying cardiovascular risk (CVR) may contribute to taking action on modifiable risk factors especially in the population with diabetes mellitus (DM) and systemic arterial hypertension (SAH) in primary health care, where laboratory tests are often difficult to access.ObjectiveThe objective of this study was to evaluate the risk of developing cardiovascular disease in the next 10 years in diabetic and hypertensive primary healthcare patients using the online Framingham platform.Material and methodsThis is a cross-sectional study. Were evaluated 246 individuals by medical records, from the Center for Specialized Medicine in Diabetes and Hypertension. The Framingham Heart Study online table was used to assess CVR. The variables collected were blood pressure and body circumferences.ResultsSixty-five (26.42%) were diabetic, 67 (27.23%) were hypertensive, and 114 (46.34%) had DM and SAH. Significant values of CVR were observed in the SAH (19.76%) and DM + SAH (33.79%) groups when compared with the DM group (10.68%).ConclusionIn conclusion, the online Framingham platform tool was able to identify the CVR. Additionally, SAH seems to be a more powerful factor to increase CVR, and the coexistence of DM and SAH increases this risk even more.

Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19)

Creating a public understanding of the dynamics of a pandemic, such as COVID-19, is vital for introducing restrictive regulations. Gathering diverse data responsibly and sharing it with experts and citizens in a timely manner is challenging. This article reviews methodologies of COVID-19 dashboard design and discusses both technical and non-technical challenges associated. Advice and lessons learned from building a citizen-focused, automated county-precision dashboard for Germany are shared. Within four months, the web-based tool had 5 million unique visitors and 70 million sessions. Three developers set up the basic version in less than one week. Early on, data was screen scraped. An iterative process improved timeliness by adding more fine-grained data sources. A collaborative online table editor enabled near real-time corrections. Alerting was setup for errors, and statistics apply for sanity checking. Static site generation and a content delivery network help to serve large user loads in a timely manner. The flexible design allowed to iteratively integrate more complex statistics based on expert knowledge built on top of the collected data and secondary data sources such as ICU beds and citizen movement.

Identification, Evaluation, and Management of Children With Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder with reported prevalence in the United States of 1 in 59 children (approximately 1.7%). Core deficits are identified in 2 domains: social communication/interaction and restrictive, repetitive patterns of behavior. Children and youth with ASD have service needs in behavioral, educational, health, leisure, family support, and other areas. Standardized screening for ASD at 18 and 24 months of age with ongoing developmental surveillance continues to be recommended in primary care (although it may be performed in other settings), because ASD is common, can be diagnosed as young as 18 months of age, and has evidenced-based interventions that may improve function. More accurate and culturally sensitive screening approaches are needed. Primary care providers should be familiar with the diagnostic criteria for ASD, appropriate etiologic evaluation, and co-occurring medical and behavioral conditions (such as disorders of sleep and feeding, gastrointestinal tract symptoms, obesity, seizures, attention-deficit/hyperactivity disorder, anxiety, and wandering) that affect the child's function and quality of life. There is an increasing evidence base to support behavioral and other interventions to address specific skills and symptoms. Shared decision making calls for collaboration with families in evaluation and choice of interventions. This single clinical report updates the 2007 American Academy of Pediatrics clinical reports on the evaluation and treatment of ASD in one publication with an online table of contents and section view available through the American Academy of Pediatrics Gateway to help the reader identify topic areas within the report.

A review of changes to the attention deficit/hyperactivity disorder age of onset criterion using the checklist for modifying disease definitions

BackgroundWidening definitions of health conditions have the potential to affect millions of people and should only occur when there is strong evidence of benefit. In the last version of the Diagnostic and Statistical Manual of Mental Disorders (DSM), the DSM-5 Committee changed the Attention Deficit Hyperactivity Disorder (ADHD) age of onset criterion in two ways: raising the age of symptom onset and removing the requirement for symptoms to cause impairment. Given concerns about ADHD prevalence and treatment rates, we aimed to evaluate the evidence available to support these changes using a recently developed Checklist for Modifying Disease Definitions.MethodsWe identified and analysed research informing changes to the DSM-IV-TR ADHD age of onset criterion. We compared this evidence to the evidence recommended in the Checklist for Modifying Disease Definitions.ResultsThe changes to the DSM-IV-TR age of onset criterion were based on a literature review (publicly available as a 2 page document with online table of included studies), which we appraised as at high risk of bias. Estimates of the change in ADHD prevalence resulting from change to the age of onset criterion were based on a single study that included only a small number of children with ADHD (n = 68) and only assessed the impact of change to the age component of the criterion. No evidence was used by, or available to the Committee regarding the impact on prevalence of removal of the requirement for impairment, or the effect of the criterion changes on diagnostic precision, the prognosis of, or the potential benefits or harms for individuals diagnosed by the new, but not old criterion.ConclusionsThe changes to the age of onset criterion were based on minimal research evidence that suffered from either high risk of bias or poor applicability. The minimal documentation available makes it difficult to judge the rigor of the process behind the criterion changes. Use of the Checklist for Modifying Disease Definitions would assist future proposed modifications of the DSM ADHD criteria, provide guidance on the studies needed to inform potential changes and would improve the transparency and documentation of the process.

Confidentiality and Differential Privacy in the Dissemination of Frequency Tables

For decades, national statistical agencies and other data custodians have been publishing frequency tables based on census, survey and administrative data. In order to protect the confidentiality of individuals represented in the data, tables based on original data are modified before release. Recently, in response to user demand for more flexible and responsive table publication services, frequency table publication schemes have been augmented with on-line table generating servers such as the US Census Bureau FactFinder and the Australian Bureau of Statistics (ABS) TableBuilder. These systems allow users to build their own custom tables, and make use of automated perturbation routines to protect confidentiality. Motivated by the growing popularity of table generating servers, in this paper we study confidentiality protection for perturbed frequency tables, including the trade-off with analytical utility, focusing on a version of the ABS TableBuilder as a concrete example of a data release mechanism, and examining its properties. Confidentiality protection is assessed in terms of the differential privacy standard, and this paper can be used as a practical introduction to differential privacy, to calculations related to its application, to the relationship between confidentiality protection and utility and to confidentiality in general.

DirtyGrid I: 3D Dust Radiative Transfer Modeling of Spectral Energy Distributions of Dusty Stellar Populations

Abstract Understanding the properties of stellar populations and interstellar dust has important implications for galaxy evolution. In normal star-forming galaxies, stars and the interstellar medium dominate the radiation from ultraviolet (UV) to infrared (IR). In particular, interstellar dust absorbs and scatters UV and optical light, re-emitting the absorbed energy in the IR. This is a strongly nonlinear process that makes independent studies of the UV-optical and IR susceptible to large uncertainties and degeneracies. Over the years, UV to IR spectral energy distribution (SED) fitting utilizing varying approximations has revealed important results on the stellar and dust properties of galaxies. Yet the approximations limit the fidelity of the derived properties. There is sufficient computer power now available that it is now possible to remove these approximations and map out of landscape of galaxy SEDs using full dust radiative transfer. This improves upon previous work by directly connecting the UV, optical, and IR through dust grain physics. We present the DirtyGrid, a grid of radiative transfer models of SEDs of dusty stellar populations in galactic environments designed to span the full range of physical parameters of galaxies. Using the stellar and gas radiation input from the stellar population synthesis model PEGASE, our radiative transfer model DIRTY self-consistently computes the UV to far-IR/sub-mm SEDs for each set of parameters in our grid. DIRTY computes the dust absorption, scattering, and emission from the local radiation field and a dust grain model, thereby physically connecting the UV-optical to the IR. We describe the computational method and explain the choices of parameters in DirtyGrid. The computation took millions of CPU hours on supercomputers, and the SEDs produced are an invaluable tool for fitting multi-wavelength data sets. We provide the complete set of SEDs in an online table.

An Offline Optimization and Online Table Look-Up Strategy of Two-Layer Model Predictive Control

Two-layer model predictive control is restricted in the field of high real-time control and poor computational controller, due to the high computational complexity. In this paper, we propose an off-line optimization and online table look-up strategy of two-layer model predictive control to address the problem. In the upper layer of steady-state target calculation, offline optimization, and online table look-up is developed to calculate steady-state targets. In the lower layer of dynamic optimization, an unconstrained model predictive control is adopted to track the steady-state targets from the upper layer. For the case that the online table look-up method is infeasible, multi-parametric LP and linear weighted sum methods are presented. An exhaustive simulation of a fat system is made to explore the performance of the strategy of the two-layer model predictive control. Furthermore, the properties of computation complexity, steady-state, and robustness are examined from the point of implementation. Simulated studies demonstrate the effectiveness of the proposed strategy.

Football league win prediction based on online and league table data

As we are proceeding towards an internet driven world, the impact of internet is increasing in our day to lives. This not only gives impact on the virtual world but also leave a mark in the real world. The social media sites contains huge amount of information, the only thing is to collect the relevant data and analyse the data to form a real world prediction and it can do far more than that. In this paper we study the relationship between the twitter data and the normal data analysis to predict the winning team in the NFL (National Football League).The prediction is based on the data collected on the on-going league which includes performance of each player and their previous statistics. Alongside with the data available online we are combining the twitter data which we extracted by the tweets pertaining to specific teams and games in the NFL season and use them alongside statistical game data to build predictive models for future or the outcome of the game i.e. which team will lose or win depending upon the statistical data available.Specifically the tweets within the 24 hours of match will be considered and the main focus of twitter data will be upon the last hours of tweets i.e. pre-match twitter data and post-match twitter data. We are experimenting on the data and using twitter data we are trying to increase the performance of the existing predictive models that uses only the game stats to predict the future.

Curves of medium genus with many points

The defect of a curve over a finite field is the difference between the number of rational points on the curve and the Weil–Serre upper bound for the number of points on the curve. We present algorithms for constructing curves of genus 5, 6, and 7 with small defect. Our aim is to be able to produce, in a reasonable amount of time, curves that can be used to populate the online table of curves with many points found at manypoints.org.

One–generator quasi–abelian codes revisited

The class of 1-generator quasi-abelian codes over finite fields is revisited. Alternative and explicit characterization and enumeration of such codes are given. An algorithm to find all 1-generator quasi-abelian codes is provided. Two 1-generator quasi-abelian codes whose minimum distances are improved from Grassl’s online table are presented.

Kidney Toxicity Related to Herbs and Dietary Supplements: Online Table of Kidney Toxicity Cases

Kidney Toxicity Related to Herbs and Dietary Supplements: Online Table of Kidney Toxicity Cases

SELECTING M GIANTS WITH INFRARED PHOTOMETRY: DISTANCES, METALLICITIES, AND THE SAGITTARIUS STREAM

ABSTRACT Using a spectroscopically confirmed sample of M giants, M dwarfs, and quasars from the LAMOST survey, we assess how well Wide-field Infrared Survey Explorer (WISE) and Two Micron All Sky Survey color cuts can be used to select M giant stars. The WISE bands are very efficient at separating M giants from M dwarfs, and we present a simple classification that can produce a clean and relatively complete sample of M giants. We derive a new photometric relation to estimate the metallicity for M giants, calibrated using data from the APOGEE survey. We find a strong correlation between the color and , where almost all of the scatter is due to photometric uncertainties. We show that previous photometric distance relations, which are mostly based on stellar models, may be biased and devise a new empirical distance relation, investigating trends with metallicity and star formation history. Given these relations, we investigate the properties of M giants in the Sagittarius stream. The offset in the orbital plane between the leading and trailing tails is reproduced, and by identifying distant M giants in the direction of the Galactic anticenter, we confirm that the previously detected debris in the outer halo is the apocenter of the trailing tail. We also find tentative evidence supporting an existing overdensity near the leading tail in the northern Galactic hemisphere, possibly an extension to the trailing tail (so-called Branch C). We have measured the metallicity distribution along the stream, finding a clear metallicity offset between the leading and trailing tails, in agreement with models for the stream formation. We include an online table of M giants to facilitate further studies.

Analysis of downshift’s improvement to energy efficiency of an electric vehicle during regenerative braking

Downshift during regenerative braking helps to improve the energy efficiency of electric vehicles. Two main problems are involved in the downshift process. One is the determination of optimal downshift point, and the other is the cooperative control of regenerative braking and hydraulic braking. In order to achieve a systemic solution to these problems, a hierarchical control strategy is brought forward for an electric vehicle with a two-speed automated mechanical transmission. For the upper controller, an off-line calculation and on-line look-up table method is adopted to obtain the optimal downshift point, and a series regenerative braking distribution strategy is designed. For the medium controller, a nonlinear sliding mode observer is designed to obtain the actual hydraulic brake torque. For the lower controller, cooperative control of regenerative braking and hydraulic braking is given to ensure brake safety during downshift process, and a resembling pulse width modulation method is proposed to regulated the hydraulic brake torque. Simulation results and hardware-in-loop test show that the proposed algorithm is effective in improving the energy efficiency of electric vehicles.