scholarly journals Chronic Lyme Disease: An Evidence-Based Definition by the ILADS Working Group

Antibiotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 269 ◽  
Author(s):  
Samuel Shor ◽  
Christine Green ◽  
Beatrice Szantyr ◽  
Steven Phillips ◽  
Kenneth Liegner ◽  
...  
Keyword(s):  
Lyme Disease ◽  
Signs And Symptoms ◽  
Borrelia Burgdorferi Sensu Lato ◽  
Future Research ◽  
Evidence Based ◽  
Chronic Lyme Disease ◽  
Disease Definition ◽  
Wide Range ◽  
Relapsing Remitting ◽  
Definition Of

Objective: Chronic Lyme disease has been a poorly defined term and often dismissed as a fictitious entity. In this paper, the International Lyme and Associated Diseases Society (ILADS) provides its evidence-based definition of chronic Lyme disease. Definition: ILADS defines chronic Lyme disease (CLD) as a multisystem illness with a wide range of symptoms and/or signs that are either continuously or intermittently present for a minimum of six months. The illness is the result of an active and ongoing infection by any of several pathogenic members of the Borrelia burgdorferi sensu lato complex (Bbsl). The infection has variable latency periods and signs and symptoms may wax, wane and migrate. CLD has two subcategories, CLD, untreated (CLD-U) and CLD, previously treated (CLD-PT). The latter requires that CLD manifestations persist or recur following treatment and are present continuously or in a relapsing/remitting pattern for a duration of six months or more. Methods: Systematic review of over 250 peer reviewed papers in the international literature to characterize the clinical spectrum of CLD-U and CLD-PT. Conclusion: This evidence-based definition of chronic Lyme disease clarifies the term’s meaning and the literature review validates that chronic and ongoing Bbsl infections can result in chronic disease. Use of this CLD definition will promote a better understanding of the infection and facilitate future research of this infection.

scholarly journals A Systematic Survey on Deep Generative Models for Graph Generation

2020 ◽  
Author(s):  
Xiaojie Guo ◽  
Liang Zhao
Keyword(s):  
Generative Models ◽  
Future Research ◽  
Specific Domain ◽  
Research Directions ◽  
Wide Range ◽  
Data Representations ◽  
Future Research Directions ◽  
Definition Of ◽  
Rich History ◽  
Graph Generation

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios. As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs. Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs. Recent advances in deep generative models for graph generation is an important step towards improving the fidelity of generated graphs and paves the way for new kinds of applications. This article provides an extensive overview of the literature in the field of deep generative models for graph generation. Firstly, the formal definition of deep generative models for the graph generation as well as preliminary knowledge is provided. Secondly, two taxonomies of deep generative models for unconditional, and conditional graph generation respectively are proposed; the existing works of each are compared and analyzed. After that, an overview of the evaluation metrics in this specific domain is provided. Finally, the applications that deep graph generation enables are summarized and five promising future research directions are highlighted.

Instructional Practices, Priorities, and Preparedness for Educating Students With Autism and Intellectual Disability

2018 ◽  
Vol 34 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Victoria F. Knight ◽  
Heartley B. Huber ◽  
Emily M. Kuntz ◽  
Erik W. Carter ◽  
A. Pablo Juarez
Keyword(s):  
Intellectual Disability ◽  
Instructional Practices ◽  
Special Educators ◽  
Future Research ◽  
Professional Judgment ◽  
Evidence Based ◽  
Wide Range ◽  
Students With Autism ◽  
Services And Supports ◽  
Instructional Decision

Improving educational outcomes for students with autism and intellectual disability requires delivering services and supports marked by evidence-based practices. We surveyed 535 special educators of students with autism and/or intellectual disability about (a) their implementation of 26 instructional practices, (b) their recent access to training and resources on those practices, (c) the factors they consider when deciding which practices to use, (d) the importance they place on various instructional areas (e.g., social skills, reading), and (e) their preparedness to provide that instruction. Although teachers reported implementing a wide range of evidence-based instructional practices, their recent access to training and resources was fairly limited. Special educators identified a constellation of factors informing their instructional decision making, placing emphasis on student needs and professional judgment. When considering instructional areas, a gap was evident between ratings of importance and preparedness. We address implications for strengthening professional development pathways and offer recommendations for future research.

Effect of Ratio of Liquid Pigment on Colouring Cement Matrix

2019 ◽  
Vol 296 ◽  
pp. 3-8
Author(s):  
David Bujdoš ◽  
Lucia Bulíková
Keyword(s):  
Colour Change ◽  
High Ratio ◽  
General Definition ◽  
Cement Matrix ◽  
Future Research ◽  
Colour Space ◽  
Cement Mortars ◽  
Wide Range ◽  
Definition Of ◽  
Cie Lab

Nowadays, the colouring is used in wide range of architectural concrete. Therefore, determination efficiency of pigments in case of particular combination of input materials is necessary. The research deals with influence of concentration of liquid inorganic pigments on the resulting colour of cement mortars. Two liquid pigments (yellow, red) were used for measurement purposes to verify their optimal ratio to achieve the best colouring of cement specimens. Pigments were mixed in the mortars of two types of cements used for architectural and decorative design. The colour change was determined using Konica Minolta spectrophotometer in colour space CIE Lab (1976). General definition of deviation in the colour space ΔELab was applied for calculating of colour deviation. From the results of the laboratory tests is obvious that significant change of the colour of cement specimens do not show between the concentration of 6% and 9% of the pigment per cement weight yet. Consequently, using of high ratio of pigment than 9% is not profitable neither for purchaser, nor builder. Future research will focus on trials with a more elaborate share of pigment and it will have importance for price optimization in the construction industry.

scholarly journals A Development Framework for a Conversational Agent to Explore Machine Learning Concepts

2021 ◽  
Author(s):  
Ayse Kok Arslan
Keyword(s):  
Machine Learning ◽  
Conceptual Framework ◽  
Computer Science ◽  
Literacy Skills ◽  
Future Research ◽  
Conversational Agent ◽  
Development Framework ◽  
Wide Range ◽  
Science Community ◽  
Definition Of

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.

scholarly journals The Use of Signals in New-Venture Financing: A Review and Research Agenda

2020 ◽  
Vol 47 (1) ◽  
pp. 237-259 ◽  
Author(s):  
Oskar Colombo
Keyword(s):  
Research Agenda ◽  
New Venture ◽  
Future Research ◽  
Evidence Based ◽  
Integrative Framework ◽  
Body Of Knowledge ◽  
Wide Range ◽  
Venture Financing ◽  
Further Development

The use of signals to overcome information asymmetries and reduce the uncertainty inherent in resource acquisition has become a prominent theme in new-venture financing literature. In particular, the assessment of a wide range of different information signals, with the aim of conveying a venture’s quality and legitimacy to prospective investors, is receiving increased scholarly attention. With contributions from a broad spectrum of diverse research foci investigating interactions with distinct types of investors, the literature on entrepreneurial signaling in new-venture financing has become fragmented, and this is harming further development of the field. This study systematically reviews the different literature streams on entrepreneurial signaling to provide a more integrative framework, which can contribute to the cumulative and evidence-based body of knowledge about the role of entrepreneurial signaling in new-venture financing. Furthermore, the authors identify critical sender-, signal-, receiver-, and environment-related boundary conditions that influence the signaling effectiveness. In this way, the authors identify gaps in the existing literature and map directions for future research.

Structure and validity of the Clinical Perfectionism Questionnaire in female adolescents

2019 ◽  
Vol 48 (3) ◽  
pp. 268-279 ◽  
Author(s):  
Chloe Y. Shu ◽  
Amy O’Brien ◽  
Hunna J. Watson ◽  
Rebecca A. Anderson ◽  
Tracey D. Wade ◽  
...  
Keyword(s):  
Construct Validity ◽  
Factor Model ◽  
Second Order ◽  
Mental Illnesses ◽  
Female Adolescents ◽  
Future Research ◽  
Wide Range ◽  
Self Worth ◽  
Concern Over Mistakes ◽  
Definition Of

AbstractBackground:Perfectionism is a transdiagnostic risk factor across psychopathology. The Clinical Perfectionism Questionnaire (CPQ) was developed to assess change in order to provide clinical utility, but currently the psychometric properties of the CPQ with adolescents is unknown.Aims:To assess the factor structure and construct validity of the CPQ in female adolescents.Method:The CPQ was administered to 267 females aged 14–19 years of age. Confirmatory factor analysis (CFA) was used to examine the validity of the two-factor model and a second-order factor model. Pearson correlations were used to evaluate the relationships between the CPQ and a wide range of measures of perfectionism, psychopathology and personality traits.Results:The study demonstrated internal consistency, construct validity and incremental validity of the CPQ in a sample of female adolescents. The CFA in the present study confirmed the two-factor model of the CPQ with Factor 1 relating to perfectionistic strivings and Factor 2 representing perfectionistic concerns. The second-order two factor model indicated no deterioration in fit.Conclusions:The two-factor model of the CPQ fits with the theoretical definition of clinical perfectionism where the over-dependence of self-worth on achievement and concern over mistakes are key elements. The CPQ is suitable for use with female adolescents in future research that seeks to better understand the role of perfectionism in the range of mental illnesses that impact youth.

scholarly journals Women and Depression: A Phytotherapist’s Approach

2003 ◽  
Vol 8 (1) ◽  
pp. 25-39
Author(s):  
Aviva Romm
Keyword(s):  
Psychological Factors ◽  
Severe Depression ◽  
Holistic Approach ◽  
Gender Issues ◽  
Support Networks ◽  
Evidence Based ◽  
Social Emotional ◽  
Medical Practitioners ◽  
Wide Range ◽  
Definition Of

Depression, anxiety, and similar disorders are the most commonly encountered women’s health problems in Western countries with women experiencing higher rates of depression than men. Alternative and conventional medical practitioners are consulted for the treatment of mild to moderate and even severe depression perhaps more than any other mood and affective disorder, mood disorders being the primary emotional imbalance encountered in clinical herbal practice. The medical definition of depression provides a narrow parameter against which a wide range of human sadness and grief is measured and categorized. This unfortunately may lead to the inappropriate labeling, medicating, and potential stigmatization of many who appear to fit the diagnosis of depression and the marginalization and exclusion from diagnosis of those who do not necessarily fit neatly into this category, yet who truly suffer from this malady of emotion. The causes of depression are multifactorial. A truly comprehensive holistic approach must consider physical pathologicetiologies (e. g., endocrinologicdysregulation) as well as social, emotional, and psychological factors ranging from availability of support networks to issues of selfesteem, gender issues faced by women in contemporary times, socioeconomic factors, as well as diet, nutrition, and exercise levels. This article addresses many of these multifactorial issues, providing the reader with both evidence-based and traditional information on the use of complementary and herbal the rapeutic approaches to depression in women.

scholarly journals Developing a Conversational Agent to Explore Machine Learning Concepts

2021 ◽  
Vol 21 ◽  
pp. 26-34
Author(s):  
Ayse Kok Arslan
Keyword(s):  
Machine Learning ◽  
Conceptual Framework ◽  
Computer Science ◽  
Literacy Skills ◽  
Future Research ◽  
Conversational Agent ◽  
Wide Range ◽  
Science Community ◽  
Definition Of ◽  
User Centered

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.

scholarly journals АНАЛІЗ СУЧАСНОГО СТАНУ РОЗВИТКУ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ МІКРОАПАРАТІВ МУЛЬТИКОПТЕРНОГО ТИПУ

2021 ◽  
pp. 125-134
Author(s):  
О. Г. Гребеніков
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Statistical Data ◽  
Weather Conditions ◽  
Future Research ◽  
Prototype Model ◽  
Aerial Vehicles ◽  
Starting Point ◽  
Wide Range ◽  
Range Of Functions ◽  
Definition Of

The development of unmanned aerial vehicles is of great interest to both the largest aircraft companies and design enthusiasts, and among the total volume of developments, the volume of multicopter unmanned aerial vehicles occupies one of the leading positions. In this regard, the analysis of existing developments and the definition of future research in this direction is relevant. Multi-helicopter drones have a wide range of functions in both military and civilian use.The paper collects and analyzes statistical data of micro-unmanned aerial vehicles of the multicopter type to determine the achievements in the field of design of micro-unmanned aerial vehicles (UAVs). The current classification of UAVs is considered; as a result of the analysis of statistical data its expansion is offered. The take-off and mass characteristics of the micro UAV are described. The tables showing the existing UAVs are given. In addition, the flight characteristics, aerodynamic schemes and type of engine that are most rationally suited for micro-unmanned aerial vehicles according to their purpose and class are determined.Based on the obtained data, a prototype model of a micro-UAV with improved characteristics was built. The model successfully completed all tasks. This indicates that the new UAV "Fear-1" is a successful project and it has the ability to remotely control by phone or any other equipment designed for this purpose. In addition, the designed device can additionally hang in the specified coordinates."Fear-1" confidently performs tasks in automatic mode, as well as independently decides to return to the starting point of takeoff, if: there is a loss of communication, the battery level has reached a certain level, the UAV has completed its task or used more miles -amperes than specified by the output parameters. The drone has the ability to fly in "Follow me" mode on the selected GPS transmitter. The quadcopter was tested in difficult weather conditions, when the wind force reached 8 points (about 22 m / s). Noise immunity tests were also performed in the industrial frequency range (from 2.4 GHz to 5.8 GHz).

Resource Leveraging to Achieve Large-Scale Implementation of Effective Educational Practices

2018 ◽  
Vol 21 (2) ◽  
pp. 67-76 ◽  
Author(s):  
Robert H. Horner ◽  
Caryn S. Ward ◽  
Dean L. Fixsen ◽  
George Sugai ◽  
Kent McIntosh ◽  
...  
Keyword(s):  
Large Scale ◽  
Central Element ◽  
Scaling Up ◽  
Effective Practices ◽  
Future Research ◽  
Evidence Based ◽  
Evidence Based Practices ◽  
Measurement Planning ◽  
Definition Of ◽  
Resource Leveraging

We propose in this article that a central element in the large-scale implementation of evidence-based practices is the process by which initial investment in local demonstrations is leveraged into larger implementation efforts. We offer a definition of this “resource leveraging” and propose a process for both measuring and reporting the effects of leveraging. We suggest that resource leveraging become a valid focus of future research and that the intentional measurement, planning, and management of resource leveraging be used to improve the scaling-up of effective practices.

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