Selection criteria for spintronic materials: Role of spin dependent band-width narrowing/broadening

2021 ◽  
Vol 149 ◽  
pp. 109786
Author(s):  
Piyush Dua ◽  
K.P.S. Parmar ◽  
Abhishek Kumar Mishra ◽  
Shalendra Kumar ◽  
Akshansha Chauhan ◽  
...  
Keyword(s):  
Selection Criteria ◽  
Band Width

scholarly journals The role of incubator classification on performance of incubators in Kenya.

2021 ◽  
Vol 10 (6) ◽  
pp. 256-267
Author(s):  
Miriti Jane Kinya ◽  
Kenneth Lawrance Wanjau ◽  
Nyagweth Ebenezer Odeyo
Keyword(s):  
Fixed Effects ◽  
Selection Criteria ◽  
Primary Data ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Study Objective ◽  
Mixed Effect Models ◽  
Random Slopes ◽  
Linear Mixed Effect Models

The study sought to assess the importance of classifying incubators based on the programs offered for optimum performance. Client selection criteria were assessed through three constructs namely: models that fit program goals, uniqueness of ideas, and standard selection tool. A mixed cross-sectional and causal design was adopted and a census was carried out targeting all the 51 incubators. Primary data was collected with an incubator program as a grouping/ cluster variable yielding a multilevel data structure with incubator centres nested in programs. Linear mixed effect models were fitted using Stata to assess the study objective taking into account the fixed effects for the incubator centre level (level-1) and random effects for the program level (level-2). The uniqueness of ideas was found to have a significant fixed effect on performance at level one while at level two, the study found significant random intercepts of incubator centre performance across the programs. Models that match program goals and standard selection tools were also found to have significant random slopes as level two random covariates in the model. Based on the findings of significant random slopes, the study concluded that incubator classification is key for client selection criteria and enhances incubator performance.

Mendelian Executive

2021 ◽  
pp. 1-9
Author(s):  
Daniel A. Levinthal
Keyword(s):  
Rational Choice ◽  
Artificial Selection ◽  
Selection Criteria ◽  
Direct Consequence ◽  
Dynamic Environments ◽  
Differential Selection ◽  
Selection Environment ◽  
Selection Processes ◽  
Internal Selection

A “Mendelian” executive is proposed as an image of strategy-making that lies intermediate between the grand strategist suggested by rational choice approaches and a Darwinian process of random variation and market-based differential selection. The Mendelian executive is capable of intentional design efforts in order to explore possible adjacent strategic spaces. Furthermore, the argument developed here highlights the role of intentionality with respect to selection processes within the organization, and the culling and amplification of strategic initiatives. The firm is viewed as operating an “artificial selection” environment in contrast to selection as the direct consequence of the outcome of competitive processes. Examining the nature of the processes generating these experimental variants and the bases of internal selection, and how these selection criteria may themselves change, is argued to be central to the formation of strategy in dynamic environments.

scholarly journals Nonlinear Convective Pulsation Models of Second Overtone SMC Cepheids

2002 ◽  
Vol 185 ◽  
pp. 420-423
Author(s):  
M. Marconi ◽  
G. Bono ◽  
F. Caputo
Keyword(s):  
Short Distance ◽  
Selection Criteria ◽  
Distance Scale ◽  
Model Predictions ◽  
Distance Indicators

AbstractNonlinear convective pulsation models representative of SMC Cepheids pulsating in the second overtone mode are presented. Model predictions are compared with observations and implications are derived for second overtone selection criteria. The role of overtone Cepheids as distance indicators is finally investigated and the derived distance scale is at odds with the so called short distance scale.

scholarly journals Binarity as a Factor in Stellar Radio Emission

1980 ◽  
Vol 88 ◽  
pp. 31-38 ◽  
Author(s):  
D. M. Gibson
Keyword(s):  
Radio Emission ◽  
Selection Criteria ◽  
Close Binary System ◽  
The Body ◽  
Close Binary ◽  
Star Data ◽  
Statistical Support ◽  
Selected Subset ◽  
Radio Stars

A simple examination of Table I which lists the 26 positively detected “active” radio stars reveals that 21 are interacting binaries. Thus, on face value, membership in a close binary system would appear to be an important factor in producing conditions which favor stellar radio emission. However, this conclusion ignores the considerable biases which have characterized most of the surveys (c.f., references in Wendker 1978) made to date wherein selection criteria such as binarity itself, evidence for mass exchange, strong magnetic fields, optical activity, and similarity to previously detected systems have been cited. In very few cases (c.f., Gibson 1977) have complete samples (i.e., a uniform survey of all stars in a particular class to a given luminosity limit) been observed. Therefore, it is difficult to examine the role of binarity in stellar radio emission and draw conclusions which have statistical support. However, the body of radio star data does include observations of about 700 objects and thoughtful analyses of a carefully selected subset should reveal trends which, if they do not lead to firm conclusions, should at least point out the direction for future study.

scholarly journals Indications for Requesting Laboratory Tests for Concurrent Diseases in Patients with Carpal Tunnel Syndrome: A Systematic Review

2003 ◽  
Vol 49 (9) ◽  
pp. 1437-1444 ◽  
Author(s):  
Mariska A J van Dijk ◽  
Johannes B Reitsma ◽  
Johan C Fischer ◽  
Gerard T B Sanders
Keyword(s):  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Selection Criteria ◽  
Controlled Trial ◽  
Odds Ratios ◽  
Repetitive Motion ◽  
Laboratory Screening ◽  
Methodologic Quality ◽  
Tunnel Syndrome

Abstract Background: Carpal tunnel syndrome (CTS) is known as a repetitive motion disorder, but the role of other diseases in the development or prognosis of CTS is uncertain. We reviewed the literature to determine whether there is evidence for an increased prevalence of specific conditions in CTS patients and whether this evidence would support laboratory screening for these conditions. Methods: Medline, Embase, and Cochrane Controlled Trial Register were searched for key words related to CTS and associated diseases. Relevant articles were selected according to specific criteria. Sources of bias and heterogeneity attributable to differences in study design and in patient selection were investigated by subgroup analysis. Results: After an initial search, we limited ourselves to three potentially important conditions: diabetes mellitus (DM), hypothyroidism (HT), and rheumatoid arthritis (RA). We identified nine articles with a total of 4908 CTS patients and 7671 controls that met our selection criteria. The nine studies were heterogeneous with respect to clinical and methodologic factors. In general, the prevalence of concurrent diseases was higher in CTS patients than in controls: the pooled odds ratios were 2.2 (95% confidence interval, 1.5–3.1) for DM, 1.4 (1.0–2.0) for HT, and 2.2 (1.4–3.4) for RA. Studies of lower methodologic quality reported, on average, higher odds ratios. Only one study provided information about whether the diagnosis of the concurrent condition was already made at the time of the CTS diagnosis. Conclusions: We found evidence that the prevalences of DM, HT, and RA are higher in CTS patients, but only one study specifically addressed the issue of the prevalence of nonmanifest cases of the concurrent condition. At present, there is insufficient evidence for routine laboratory screening for concurrent conditions in all newly diagnosed CTS patients.

scholarly journals Selecting Legal Advisors in M&As: Organizational Learning and the Role of Multiplicity of Mental Models

2018 ◽  
Vol 45 (5) ◽  
pp. 2193-2224 ◽  
Author(s):  
Bastian Westbrock ◽  
Katrin Muehlfeld ◽  
Utz Weitzel
Keyword(s):  
Organizational Learning ◽  
Mergers And Acquisitions ◽  
Mental Models ◽  
Selection Criteria ◽  
Turning Point ◽  
Firm Characteristics ◽  
Selection Rules ◽  
Cross Border ◽  
Country Specific

Management scholars have identified a variety of firm characteristics as antecedents to organizational learning. In this study, we conceptualize intraorganizational multiplicity of mental models as a complementary element that facilitates shifting from lower- to higher-level learning. Specifically, we investigate whether multiplicity of mental models—proxied by four measures—helps acquirers to categorically adapt selection rules for legal advisors in mergers and acquisitions (M&As) from domestic toward international settings. In developing our conceptual framework, we integrate resource-based, social network, and organizational learning perspectives. Empirically, we draw on 11,511 acquisition attempts announced from 1998 to 2010 (completion/abandonment assessed as of January 10, 2015, at the latest). The results largely support our theory: First, choosing legal advisors in domestic and international deals calls for different selection rules. While in domestic deals, network-related characteristics are more important drivers of lawyers’ performance relative to their country-specific expertise, the comparative relevance of these attributes is reversed in cross-border deals. Yet, initially, acquirers fail to recognize this. Also, they do not initially adjust their selection criteria appropriately in response to accumulating M&A experience of their own. Only after having attempted a substantial number of cross-border M&As, they reach a turning point at which they rebalance their selection criteria such that they reflect the predominant relevance of country expertise in cross-border settings. Finally, recognition of the need to categorically reassess selection criteria in international deals is significantly facilitated by an acquirer’s multiplicity of mental models.

scholarly journals Stroke Treatment With PAR-1 Agents to Decrease Hemorrhagic Transformation

2021 ◽  
Vol 12 ◽  
Author(s):  
Patrick D. Lyden ◽  
Kent E. Pryor ◽  
Jennifer Minigh ◽  
Thomas P. Davis ◽  
John H. Griffin ◽  
...  
Keyword(s):  
Perceived Risk ◽  
Selection Criteria ◽  
Developed Countries ◽  
The United States ◽  
Hemorrhagic Transformation ◽  
Stroke Treatment ◽  
Protease Activated Receptor 1 ◽  
Poor Outcomes ◽  
Endovascular Mechanical Thrombectomy

Ischemic stroke is the most widespread cause of disability and a leading cause of death in developed countries. To date, the most potent approved treatment for acute stroke is recanalization therapy with thrombolytic drugs such as tissue plasminogen activator (rt-PA or tPA) or endovascular mechanical thrombectomy. Although tPA and thrombectomy are widely available in the United States, it is currently estimated that only 10–20% of stroke patients get tPA treatment, in part due to restrictive selection criteria. Recently, however, tPA and thrombectomy selection criteria have loosened, potentially allowing more patients to qualify. The relatively low rate of treatment may also reflect the perceived risk of brain hemorrhage following treatment with tPA. In translational research and a single patient study, protease activated receptor 1 (PAR-1) targeted therapies given along with thrombolysis and thrombectomy appear to reduce hemorrhagic transformation after recanalization. Such adjuncts may likely enhance the availability of recanalization and encourage more physicians to use the recently expanded selection criteria for applying recanalization therapies. This narrative review discusses stroke therapies, the role of hemorrhagic transformation in producing poor outcomes, and presents the data suggesting that PAR-1 acting agents show promise for decreasing hemorrhagic transformation and improving outcomes.

scholarly journals SELECTION CRITERIA FOR PRIORITY NATIONAL PROJECTS FROM THE PERSPECTIVE OF ECONOMIC SECURITY

2018 ◽  
Vol 2018 (1) ◽  
pp. 148-154
Author(s):  
А. Пивень ◽  
A. Piven
Keyword(s):  
National Security ◽  
Russian Federation ◽  
Selection Criteria ◽  
Selection Process ◽  
Economic Security ◽  
The State ◽  
Regional Level ◽  
Cluster Approach ◽  
The Russian Federation

<p>The current paper features some results of theoretical and methodical justification of selection process for priority national projects that would ensure the economic security of the Russian Federation and its regions. The role of economic security is reflected in the system of national security of the state, the interrelation between the priority national projects and the system of economic security of the Russian Federation in the context of the challenges and threats formulated in domestic standard acts of strategic character. It is shown that the current strategy of sustainable development of regions is formed and implemented through a prism of priority national projects, but optimum ensuring economic security at the regional level is impossible without a scientifically and methodically reasonable regulation from the state. To provide methodically reasonable selection criteria for priority national projects in certain regions from the perspective of economic security, the author proposes to use the cluster approach, which allows one to define development priorities in the region and the direction of its economic security ensuring. Some theoretical and monographic generalizations have made it possible to correct the region clustering potential assessment technique in the context of economic security. Approbation of the developed technique has shown a possibility of its application to assess the level of priority of national projects at the regional level.</p>

Taming Cryoablation for Lung Tumors

2018 ◽  
Author(s):  
Anshuman Bansal ◽  
Fereidoun Abtin
Keyword(s):  
Patient Selection ◽  
Selection Criteria ◽  
Patient Positioning ◽  
Lung Tumors ◽  
Lung Cancers ◽  
Percutaneous Cryoablation ◽  
Patient Selection Criteria ◽  
Physical Principles

This chapter details the indications, uses, and techniques of using percutaneous cryoablation to treat lung tumors. The chapter reviews the role of ablative therapy for primary lung cancers as well as metastatic disease to the lung. It reviews the basic physical principles of cryoablation and the advantages of percutaneous cryoablation compared to other percutaneous heat-based ablative modalities. Patient selection criteria and post-ablation follow-up protocols are discussed. The chapter reviews procedural considerations, including choice of anesthesia, patient positioning, probe trajectory, and post-procedural recovery. It also details techniques that can be used to minimize and treat complications as well as tips for treating more challenging lesions.

scholarly journals Saving Lives and Changing Minds with Twitter in Disasters and Pandemics: A Literature Review

2020 ◽  
Vol 1 (1) ◽  
pp. 59-77
Author(s):  
Hamed Seddighi ◽  
Ibrahim Salmani ◽  
Saeideh Seddighi
Keyword(s):  
Natural Hazards ◽  
Selection Criteria ◽  
Literature Search ◽  
Aid Workers ◽  
Inclusion Criteria ◽  
Building Trust ◽  
Public Sentiment ◽  
Twitter Data ◽  
Comprehensive Literature Search

Twitter is a major tool for communication during emergencies and disasters. This study aimed to investigate Twitter use during natural hazards and pandemics. The included studies reported the role of Twitter in disasters triggered by natural hazards. Electronic databases were used for a comprehensive literature search to identify the records that match the mentioned inclusion criteria published through May 2020. Forty-five articles met the selection criteria and were included in the review. These indicated ten functions of Twitter in disasters, including early warning, dissemination of information, advocacy, assessment, risk communication, public sentiment, geographical analysis, charity, collaboration with influencers and building trust. Preventing the spread of misinformation is one of the most important issues in times of disaster, especially pandemics. Sharing accurate, transparent and prompt information from emergency organizations and governments can help. Moreover, analyzing Twitter data can be a good way to understand the mental state of the community, estimate the number of injured people, estimate the points affected by disasters and model the prevalence of epidemics. Therefore, various groups such as politicians, government, nongovernmental organizations, aid workers and the health system can use this information to plan and implement interventions.

Sign in / Sign up

Export Citation Format

Share Document