The berry health tool chest – an evidence map and interactive resource

2021 ◽  
Author(s):  
Kristine L Kay ◽  
Renee C Strauch ◽  
Cheryl D Granillo ◽  
Megan W Bame ◽  
Jia Xiong ◽  
...  
Keyword(s):  
Search Strategy ◽  
Design Parameters ◽  
Research Gaps ◽  
Evidence Map ◽  
Future Studies ◽  
Critical Knowledge ◽  
Nutritional Health ◽  
Health Initiatives ◽  
Study Designs ◽  
The Impact

Abstract Berry consumption is linked to diverse health benefits, but numerous questions remain regarding mechanism of action, dose efficacy, and optimal duration and frequency of intake. Addressing these outstanding questions requires an organized assessment of current research, to inform future study designs and fill critical knowledge gaps. Tools that organize such information will also facilitate consumer messaging, targeted nutritional health initiatives, and dietary intake guidelines. This review aimed to describe the development and utility of the “Berry Health Tool Chest,” an evidence map summarizing trial design features of studies characterizing the impact of berry consumption upon human health biomarkers. A systematic search strategy identified relevant high-quality human feeding studies, whose study design parameters were collected and compiled into an evidence map that is freely available as an interactive online interface enabling tabulated data to be interrogated, filtered, and exported. Of the 231 included studies, approximately 70% were of less than 3 months’ duration and/or fewer than 50 participants, illustrating research gaps that could potentially inform the design of future studies.

Theory A, Theory B and Theory C of managing people at work

2021 ◽  
Vol 5 (1) ◽  
pp. 69-75
Author(s):  
Birendra Nath Singh
Keyword(s):  
Empirical Studies ◽  
Shop Floor ◽  
Scientific Management ◽  
Business Organization ◽  
Business Organizations ◽  
Research Gaps ◽  
Future Studies ◽  
Modern Business ◽  
And Control ◽  
The Impact

Managing people and productivity are prime concerns of modern business organizations. Many empirical studies were conducted during the era of scientific management (Taylor, 1911) to investigate What and How? McGregor’s (1960) epic theory — Theory X and Theory Y, categorizing all employees into two groups and prescribing methods to motivate and control them was the best. However, his findings also suffered strong criticisms, creating research gaps. The objective of this study was to investigate further and to conclude that there are three major groups named Theory A, Theory B, and Theory C. Amongst them, a middle group — Theory B is most dominant, having all capabilities to significantly influence productivity and prosperity of organizations. The methodology used was qualitative, based upon intensive and critical shop-floor observations. Since this study was not empirical, it had many limitations requiring further researches. Therefore, rightly recommended that future studies should correlate the impact of technological advancements upon motivations and productivity of the modern business organization (Veitch, 2018).

scholarly journals Are multi-cat homes more stressful? A critical review of the evidence associated with cat group size and wellbeing

2021 ◽  
pp. 1098612X2110137
Author(s):  
Lauren R Finka ◽  
Rachel Foreman-Worsley
Keyword(s):  
Outcome Measures ◽  
Group Size ◽  
Evidence Base ◽  
Primary Objective ◽  
Current Evidence ◽  
Housing Conditions ◽  
Future Studies ◽  
Domestic Environments ◽  
Study Designs ◽  
The Impact

Objectives The primary objective of this review was to conduct a systematic critical appraisal of published literature, in order to assess the evidence regarding the impact of cat group size on cat wellbeing in the domestic home. The secondary objectives were to: (i) identify additional social and environmental mediators of cat wellbeing in these contexts; and (ii) identify general limitations within the current evidence and provide recommendations for future studies. Methods A systematic search of electronic databases (Scopus, Web of Science and Google Scholar) was conducted using targeted Boolean phrasing. Papers were retained for appraisal of full text where they included a comparison of both single (n = 1) and multi-cat (n ⩾2) domestic housing conditions and/or comparison of different multi-cat group sizes, within a single study; or where they compared outcome measures that were either behavioural and/or physiological and deemed as relevant indicators of cat wellbeing. Results A total of 1334 unique papers were returned, 15 of which were retained. Of these papers, only four stated their primary aim to be an investigation of links between cat group size and cat wellbeing. Overall, the reviewed papers did not indicate consistent directions of effects regarding cat group size and outcome measures relevant to wellbeing. This was similar for the other social and environmental mediators identified. Conclusions and relevance Inconsistency in results is likely due to the substantial methodological variation, limitations in measures used as indicators of wellbeing and limitations in general study designs and reporting. Results also highlight the complex, multifactorial relationships between cat wellbeing and various social and environmental factors. These may be as, if not more, important than absolute numbers of cats residing within a household. Due to the various limitations and general paucity of research, further studies are recommended to provide a suitable evidence base regarding impacts of multi-cat living on cat wellbeing in domestic environments.

scholarly journals What is the impact of introducing inpatient electronic prescribing on prescribing errors? A naturalistic stepped wedge study in an English teaching hospital

2019 ◽  
Vol 26 (4) ◽  
pp. 3152-3162 ◽  
Author(s):  
Bryony Dean Franklin ◽  
Seetal Puaar
Keyword(s):  
Logistic Regression ◽  
Study Design ◽  
Teaching Hospital ◽  
Electronic Prescribing ◽  
Prescribing Errors ◽  
Stepped Wedge ◽  
Future Studies ◽  
Before And After ◽  
Study Designs ◽  
The Impact

Most studies evaluating the impact of electronic prescribing on prescribing safety have used comparatively weak study designs such as uncontrolled before-and-after studies. This study aimed to apply a more robust naturalistic stepped wedge study design to compare the prevalence and types of prescribing errors for electronic prescribing and paper prescribing. Data were collected weekly during a phased electronic prescribing implementation across 20 wards in a large English hospital. We identified 511 (7.8%) erroneous orders in 6523 paper medication orders, and 312 (6.0%) in 5237 electronic prescribing orders. Logistic regression suggested no statistically significant effect of electronic prescribing use or of study week; patient and ward had significant effects. Errors involving incorrect doses and illegible or incomplete orders were less common with electronic prescribing; those involving duplication, omission, incorrect drug and incorrect formulation were more common. Actions are needed to mitigate these error types; future studies should give more consideration to the effects of patient and ward.

scholarly journals Efficacy and safety of urate-lowering therapy in people with kidney impairment: a GCAN-initiated literature review

2021 ◽  
Author(s):  
Hamish Farquhar ◽  
Ana B Vargas-Santos ◽  
Huai Leng Pisaniello ◽  
Mark Fisher ◽  
Catherine Hill ◽  
...  
Keyword(s):  
Renal Function ◽  
Renal Impairment ◽  
Case Reports ◽  
Serum Urate ◽  
Cochrane Library ◽  
Future Studies ◽  
Kidney Impairment ◽  
The Cochrane Library ◽  
Study Designs ◽  
Different Levels

Abstract Objectives To evaluate the efficacy, defined as achieving target serum urate <6.0 mg/dl, and safety of urate-lowering therapies (ULT) for people with gout and CKD stages 3–5. Methods PubMed, The Cochrane Library, and EMBASE, were searched from 1 January 1959 to 31 January 2018 for studies that enrolled people with gout, who had an estimated glomerular filtration rate (eGFR) or creatinine clearance (CrCl) of < 60 mL/min, and exposure to allopurinol, febuxostat, probenecid, benzbromarone, lesinurad or pegloticase. All study designs other than case reports were included, except for people on dialysis, for which we did include case reports. Results There were 36 reports with an analysis of efficacy and/or safety based upon renal function – allopurinol (n = 12), febuxostat (n = 10), probenecid (n = 3), benzbromarone (n = 5), lesinurad (n = 5), and pegloticase (n = 1). There were 108 reports that involved people with gout and renal impairment but did not contain any analysis on efficacy and/or safety based upon renal function – allopurinol (n = 84), febuxostat (n = 14), benzbromarone (n = 1), lesinurad (n = 3), and pegloticase (n = 6). Most studies excluded people with more severe degrees of renal impairment (eGFR or CrCl of < 30mL/min). For allopurinol in particular, there was significant variability in the dose of drug used, and efficacy in terms of urate lowering, across all levels of renal impairment. Conclusion There is a lack of evidence regarding efficacy and/or safety of currently used ULT according to different levels of renal function. Future studies should include patients with CKD and should report study outcomes stratified by renal function.

Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware

2021 ◽  
Vol 17 (4) ◽  
pp. 1-26
Author(s):  
Md Musabbir Adnan ◽  
Sagarvarma Sayyaparaju ◽  
Samuel D. Brown ◽  
Mst Shamim Ara Shawkat ◽  
Catherine D. Schuman ◽  
...  
Keyword(s):  
Unsupervised Learning ◽  
Recognition Task ◽  
Single Layer ◽  
Process Variations ◽  
Spike Timing ◽  
System Level ◽  
Design Parameters ◽  
Digital Pulse ◽  
Neuromorphic System ◽  
The Impact

Spiking neural networks (SNN) offer a power efficient, biologically plausible learning paradigm by encoding information into spikes. The discovery of the memristor has accelerated the progress of spiking neuromorphic systems, as the intrinsic plasticity of the device makes it an ideal candidate to mimic a biological synapse. Despite providing a nanoscale form factor, non-volatility, and low-power operation, memristors suffer from device-level non-idealities, which impact system-level performance. To address these issues, this article presents a memristive crossbar-based neuromorphic system using unsupervised learning with twin-memristor synapses, fully digital pulse width modulated spike-timing-dependent plasticity, and homeostasis neurons. The implemented single-layer SNN was applied to a pattern-recognition task of classifying handwritten-digits. The performance of the system was analyzed by varying design parameters such as number of training epochs, neurons, and capacitors. Furthermore, the impact of memristor device non-idealities, such as device-switching mismatch, aging, failure, and process variations, were investigated and the resilience of the proposed system was demonstrated.

scholarly journals A Fundamental Study on the Development of New Energy Performance Index in Office Buildings

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2064
Author(s):  
Jin-Hee Kim ◽  
Seong-Koo Son ◽  
Gyeong-Seok Choi ◽  
Young-Tag Kim ◽  
Sung-Bum Kim ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Requirement ◽  
Energy Performance ◽  
Office Buildings ◽  
Light Transmittance ◽  
Wall Structure ◽  
Fundamental Study ◽  
Future Studies ◽  
U Value ◽  
The Impact

Recently, there have been significant concerns regarding excessive energy use in office buildings with a large window-to-wall ratio (WWR) because of the curtain wall structure. However, prior research has confirmed that the impact of the window area on energy consumption varies depending on building size. A newly proposed window-to-floor ratio (WFR) correlates better with energy consumption in the building. In this paper, we derived the correlation by analyzing a simulation using EnergyPlus, and the results are as follows. In the case of small buildings, the results of this study showed that the WWR and energy requirement increase proportionally, and the smaller the size is, the higher the energy sensitivity will be. However, results also confirmed that this correlation was not established for buildings approximately 3600 m2 or larger. Nevertheless, from analyzing the correlation between the WFR and the energy requirements, it could be deduced that energy required increased proportionally when the WFR was 0.1 or higher. On the other hand, the correlation between WWR, U-value, solar heat gain coefficient (SHGC), and material property values of windows had little effect on energy when the WWR was 20%, and the highest effect was seen at a WWR of 100%. Further, with an SHGC below 0.3, the energy requirement decreased with an increasing WWR, regardless of U-value. In addition, we confirmed the need for in-depth research on the impact of the windows’ U-value, SHGC, and WWR, and this will be verified through future studies. In future studies on window performance, U-value, SHGC, visible light transmittance (VLT), wall U-value as sensitivity variables, and correlation between WFR and building size will be examined.

Making Up 3D Bodies

2021 ◽  
Vol 4 (2) ◽  
pp. 1-9
Author(s):  
Kiona Hagen Niehaus ◽  
Rebecca Fiebrink
Keyword(s):  
Software Tool ◽  
The Body ◽  
Design Parameters ◽  
Artistic Practice ◽  
Human Form ◽  
Modeling Systems ◽  
Exploratory Approach ◽  
Disability Status ◽  
High Level ◽  
The Impact

This paper describes the process of developing a software tool for digital artistic exploration of 3D human figures. Previously available software for modeling mesh-based 3D human figures restricts user output based on normative assumptions about the form that a body might take, particularly in terms of gender, race, and disability status, which are reinforced by ubiquitous use of range-limited sliders mapped to singular high-level design parameters. CreatorCustom, the software prototype created during this research, is designed to foreground an exploratory approach to modeling 3D human bodies, treating the digital body as a sculptural landscape rather than a presupposed form for rote technical representation. Building on prior research into serendipity in Human-Computer Interaction and 3D modeling systems for users at various levels of proficiency, among other areas, this research comprises two qualitative studies and investigation of the impact on the first author's artistic practice. Study 1 uses interviews and practice sessions to explore the practices of six queer artists working with the body and the language, materials, and actions they use in their practice; these then informed the design of the software tool. Study 2 investigates the usability, creativity support, and bodily implications of the software when used by thirteen artists in a workshop. These studies reveal the importance of exploration and unexpectedness in artistic practice, and a desire for experimental digital approaches to the human form.

scholarly journals Simulation Tests of a Cow Milking Machine—Analysis of Design Parameters

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1358
Author(s):  
Ewa Golisz ◽  
Adam Kupczyk ◽  
Maria Majkowska ◽  
Jędrzej Trajer
Keyword(s):  
Mathematical Model ◽  
Simplified Model ◽  
Design Parameters ◽  
Degree Polynomial ◽  
Fourth Degree ◽  
Local Loss ◽  
Linear Drag ◽  
Milking Machine ◽  
Machine Analysis ◽  
The Impact

The objective of this paper was to create a mathematical model of vacuum drops in a form that enables the testing of the impact of design parameters of a milking cluster on the values of vacuum drops in the claw. Simulation tests of the milking cluster were conducted, with the use of a simplified model of vacuum drops in the form of a fourth-degree polynomial. Sensitivity analysis and a simulation of a model with a simplified structure of vacuum drops in the claw were carried out. As a result, the impact of the milking machine’s design parameters on the milking process could be analysed. The results showed that a change in the local loss and linear drag coefficient in the long milk duct will have a lower impact on vacuum drops if a smaller flux of inlet air, a higher head of the air/liquid mix, and a higher diameter of the long milk tube are used.

scholarly journals Conceptualising natural and quasi experiments in public health

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Frank de Vocht ◽  
Srinivasa Vittal Katikireddi ◽  
Cheryl McQuire ◽  
Kate Tilling ◽  
Matthew Hickman ◽  
...  
Keyword(s):  
Public Health ◽  
Study Design ◽  
Grey Literature ◽  
Public Health Research ◽  
Natural Experiments ◽  
Target Trial ◽  
Design Elements ◽  
Randomized Controlled ◽  
Study Designs ◽  
The Impact

Abstract Background Natural or quasi experiments are appealing for public health research because they enable the evaluation of events or interventions that are difficult or impossible to manipulate experimentally, such as many policy and health system reforms. However, there remains ambiguity in the literature about their definition and how they differ from randomized controlled experiments and from other observational designs. We conceptualise natural experiments in the context of public health evaluations and align the study design to the Target Trial Framework. Methods A literature search was conducted, and key methodological papers were used to develop this work. Peer-reviewed papers were supplemented by grey literature. Results Natural experiment studies (NES) combine features of experiments and non-experiments. They differ from planned experiments, such as randomized controlled trials, in that exposure allocation is not controlled by researchers. They differ from other observational designs in that they evaluate the impact of events or process that leads to differences in exposure. As a result they are, in theory, less susceptible to bias than other observational study designs. Importantly, causal inference relies heavily on the assumption that exposure allocation can be considered ‘as-if randomized’. The target trial framework provides a systematic basis for evaluating this assumption and the other design elements that underpin the causal claims that can be made from NES. Conclusions NES should be considered a type of study design rather than a set of tools for analyses of non-randomized interventions. Alignment of NES to the Target Trial framework will clarify the strength of evidence underpinning claims about the effectiveness of public health interventions.

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