scholarly journals Toward Multistate Pharmacy Practice: Enhancing Mobility and Portability of Pharmacist Licensure

2020 ◽  
pp. 106002802094525
Author(s):  
Alex J. Adams
Keyword(s):  
Lower Cost ◽  
Mutual Recognition ◽  
Hybrid Approach ◽  
Pharmacy Practice ◽  
Nursing Profession ◽  
Transfer Model ◽  
Recognition Model ◽  
Administrative Burden ◽  
Current State ◽  
Pharmacy Profession

Pharmacists are licensed in all 50 states. As society becomes increasingly mobile and interconnected, several models of cross-state pharmacy practice have emerged, straining the current state-based system of licensure. The nursing profession has provided a model for license portability that offers 3 primary advantages over the current pharmacist licensure model while still protecting safety: (1) faster speed, (2) lower cost, and (3) reduced administrative burden. A hybrid approach for the pharmacy profession that builds off of the expedited license transfer model and adds a mutual recognition model is ideal.

scholarly journals Partial Energy Transfer Model of Lamb Waves Scattering in Materially Isotropic Waveguides

2021 ◽  
Vol 11 (10) ◽  
pp. 4508
Author(s):  
Pavel Šofer ◽  
Michal Šofer ◽  
Marek Raček ◽  
Dawid Cekus ◽  
Paweł Kwiatoń
Keyword(s):  
Energy Transfer ◽  
Lamb Waves ◽  
Hybrid Approach ◽  
Wave Mode ◽  
Transfer Model ◽  
Material Interface ◽  
Modal Expansion ◽  
Scattering Coefficients ◽  
Expansion Technique ◽  
Partial Energy

The scattering phenomena of the fundamental antisymmetric Lamb wave mode with a horizontal notch enabling the partial energy transfer (PET) option is addressed in this paper. The PET functionality for a given waveguide is realized using the material interface. The energy scattering coefficients are identified using two methods, namely, a hybrid approach, which utilizes the finite element method (FEM) and the general orthogonality relation, and the semi-analytical approach, which combines the modal expansion technique with the orthogonal property of Lamb waves. Using the stress and displacement continuity conditions on the present (sub)waveguide interfaces, one can explicitly derive the global scattering matrix, which allows detailed analysis of the scattering process across the considered interfaces. Both methods are then adopted on a simple representation of a surface breaking crack in the form of a vertical notch, of which a certain section enables not only the reflection of the incident energy, but also its nonzero transfer. The presented results show very good conformity between both utilized approaches, thus leading to further development of an alternative technique.

Future trends in diagnosis using laboratory-on-a-chip technologies

Parasitology ◽  
1999 ◽  
Vol 117 (7) ◽  
pp. 191-203 ◽  
Author(s):  
M. S. TALARY ◽  
J. P. H. BURT ◽  
R. PETHIG
Keyword(s):  
Gene Expression ◽  
Lower Cost ◽  
Building Blocks ◽  
Cancer Diagnostics ◽  
Future Trends ◽  
Biotechnological Applications ◽  
Environmental Testing ◽  
Current State ◽  
Microelectronic Fabrication ◽  
Wide Range

There has been an enormous growth in the development of biotechnological applications, where advances in the techniques of microelectronic fabrication and the technologies of miniaturization and integration in semiconductor industries are being applied to the production of Laboratory-on-a-Chip devices. The aim of this development is to create devices that will perform the same processes that are currently carried out in the laboratory in reduced timescales, at a lower cost, requiring less reagents, and with a greater resolution of detection and specificity. The expectations of this Laboratory-on-a-Chip revolution is that this technology will facilitate rapid advances in gene discovery, genetic mapping and gene expression with broader applications ranging from infectious diseases and cancer diagnostics to food quality and environmental testing. A review of the current state of development in this field reveals the scale of the ongoing revolution and serves to highlight the advances that can be perceived in the development of Laboratory-on-a-Chip technologies. Since miniaturization can be applied to such a wide range of laboratory processes, some of the sub-units that can be used as building blocks in these devices are described, with a brief description of some of the fabrication processes that can be used to create them.

scholarly journals A Combined Approach to Predicting Rest in Dogs Using Accelerometers

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2649 ◽  
Author(s):  
Cassim Ladha ◽  
Christy Hoffman
Keyword(s):  
Resting State ◽  
State Of The Art ◽  
Hybrid Approach ◽  
Well Being ◽  
Housing Conditions ◽  
Combined Approach ◽  
Current State ◽  
Healthy Dogs ◽  
State Of Rest ◽  
Health And Well Being

The ability to objectively measure episodes of rest has clear application for assessing health and well-being. Accelerometers afford a sensitive platform for doing so and have demonstrated their use in many human-based trials and interventions. Current state of the art methods for predicting sleep from accelerometer signals are either based on posture or low movement. While both have proven to be sensitive in humans, the methods do not directly transfer well to dogs, possibly because dogs are commonly alert but physically inactive when recumbent. In this paper, we combine a previously validated low-movement algorithm developed for humans and a posture-based algorithm developed for dogs. The hybrid approach was tested on 12 healthy dogs of varying breeds and sizes in their homes. The approach predicted state of rest with a mean accuracy of 0.86 (SD = 0.08). Furthermore, when a dog was in a resting state, the method was able to distinguish between head up and head down posture with a mean accuracy of 0.90 (SD = 0.08). This approach can be applied in a variety of contexts to assess how factors, such as changes in housing conditions or medication, may influence a dog’s resting patterns.

scholarly journals The Evolution of Relations between Russia and the Republic of Korea: to Mark the 30th Anniversary of Mutual Recognition

2020 ◽  
Vol 34 ◽  
pp. 18-25
Author(s):  
En Un Kim ◽  
◽  
Keyword(s):  
Mutual Recognition ◽  
Republic Of Korea ◽  
Diplomatic Relations ◽  
Mutual Understanding ◽  
Mutual Trust ◽  
Balanced Development ◽  
Current State ◽  
The Republic ◽  
Almost All ◽  
Goals And Objectives

After the establishment of diplomatic relations, Russia and South Korea have passed a difficult way of developing mutual understanding and a certain degree of mutual trust and practical actions. Their relationships have evolved from great optimism to pragmatic and balanced development and the current state characterized in the anniversary year by the slogan “Be friends. Trust. Act”. The republic of Korea has achieved almost all the goals set during the normalization of relations and received huge profits from the cooperation with Russia. Conversely, Russia has not achieved most of the goals and objectives set 30 years ago.

scholarly journals Pruning Fuzzy Neural Network Applied to the Construction of Expert Systems to Aid in the Diagnosis of the Treatment of Cryotherapy and Immunotherapy

2019 ◽  
Vol 3 (2) ◽  
pp. 22 ◽  
Author(s):  
Augusto Junio Guimarães ◽  
Paulo Vitor de Campos Souza ◽  
Vinícius Jonathan Silva Araújo ◽  
Thiago Silva Rezende ◽  
Vanessa Souza Araújo
Keyword(s):  
Neural Network ◽  
Pattern Classification ◽  
Fuzzy Neural Network ◽  
Hybrid Approach ◽  
Hpv Infection ◽  
Current State ◽  
Fuzzy Neural ◽  
Classification Tasks ◽  
Intelligent Models ◽  
Excellent Tool

Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and genital condyloma in humans. Up to now, numerous methods have come into existence for the prevention and treatment of this disease. In this context, this paper aims to help predict the susceptibility of the patient to forms treatment using both cryotherapy and immunotherapy. These studies facilitate the choice of medications, which can be painful and embarrassing for patients who have warts on intimate parts. However, the use of intelligent models generates efficient results but does not allow a better interpretation of the results. To solve the problem, we present the method of a fuzzy neural network (FNN). A hybrid model capable of solving complex problems and extracting knowledge from the database will pruned through F-score techniques to perform pattern classification in the treatment of warts, and to produce a specialist system based on if/then rules, according to the experience obtained from the database collected through medical research. Finally, binary pattern-classification tests realized in the FNN and compared with other models commonly used for classification tasks capture results of greater accuracy than the current state of the art for this type of problem (84.32% for immunotherapy, and 88.64% for cryotherapy), and extract fuzzy rules from the problem database. It was found that the hybrid approach based on neural networks and fuzzy systems can be an excellent tool to aid the prediction of cryotherapy and immunotherapy treatments.

Reconceptualizing Arab Media Research: Moving From Centrism Toward Inclusiveness and Balance

2020 ◽  
pp. 107769902094292
Author(s):  
Claudia Kozman
Keyword(s):  
Research Productivity ◽  
Collaborative Research ◽  
Hybrid Approach ◽  
Decisive Role ◽  
Arab Countries ◽  
Arab Media ◽  
Current State ◽  
Traditional Societies ◽  
Media Research ◽  
Productivity Factors

This essay provides a brief overview of the dominant trends in Arab media research, paying particular attention to the most common methodologies they rely on. To understand the current state of Arab media scholarship, the article explores the various influences that have played a decisive role in determining the quality and quantity of research productivity. Factors such as the Arab countries’ historical roots, traditional societies, patterns in education, and current conflicts in the region are shown to have an impact on Arab scholars’ engagement with research. To aid the advancement of theory of Arab media research, this essay advocates for conducting collaborative research and proposes a hybrid approach that merges epistemologies in a culture-sensitive, empirical manner that is capable of making universal generalizations while staying true to the specificities of the region itself.

Leadership Advice for the Front Lines: Interviews with Max Ray, Sara White, and Scott Knoer

2010 ◽  
Vol 45 (4) ◽  
pp. 309-313
Author(s):  
Anders Westanmo ◽  
Eric Geurkink ◽  
Jannet M. Carmichael
Keyword(s):  
Local Level ◽  
Pharmacy Practice ◽  
Professional Organizations ◽  
Pharmacy Profession ◽  
Self Development ◽  
The Individual ◽  
Pharmacy Leaders

Pharmacy is striving to evolve from a technical profession in which pharmacists prepare and dispense medications to one in which they take responsibility for the development and execution of each patient's pharmacotherapeutic plan. This is being guided by pharmacy leaders and professional organizations, but they are not able to make the changes necessary to achieve their vision alone. In order to effectively implement change, pharmacists need to own their vision of pharmacy practice. The authors spoke to a number of established leaders in the pharmacy profession about what the individual pharmacist could do to change the culture and environment at the local level. The leaders' advice proved remarkably consistent and could be summarized into three categories: vision, socialization (relationships and networks), and self-development. Excerpts from three of these interviews were compiled into one report to be used as a guide to help pharmacists implement changes needed to achieve the vision of pharmacy practice.

scholarly journals Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Junfeng Yang ◽  
Yuwen Huang ◽  
Fuxian Huang ◽  
Gongping Yang
Keyword(s):  
Nearest Neighbor ◽  
State Of The Art ◽  
Recognition Rate ◽  
K Nearest Neighbor ◽  
Biometric Recognition ◽  
Recognition Model ◽  
The Third ◽  
Model Based ◽  
Current State ◽  
Biometric Trait

Photoplethysmography (PPG) biometric recognition has recently received considerable attention and is considered to be a promising biometric trait. Although some promising results on PPG biometric recognition have been reported, challenges in noise sensitivity and poor robustness remain. To address these issues, a PPG biometric recognition framework is presented in this article, that is, a PPG biometric recognition model based on a sparse softmax vector and k-nearest neighbor. First, raw PPG data are rerepresented by sliding window scanning. Second, three-layer features are extracted, and the features of each layer are represented by a sparse softmax vector. In the first layer, the features are extracted by PPG data as a whole. In the second layer, all the PPG data are divided into four subregions, then four subfeatures are generated by extracting features from the four subregions, and finally, the four subfeatures are averaged as the second layer features. In the third layer, all the PPG data are divided into 16 subregions, then 16 subfeatures are generated by extracting features from the 16 subregions, and finally, the 16 subfeatures are averaged as the third layer features. Finally, the features with first, second, and third layers are combined into three-layer features. Extensive experiments were conducted on three PPG datasets, and it was found that the proposed method can achieve a recognition rate of 99.95%, 97.21%, and 99.92% on the respective sets. The results demonstrate that the proposed method can outperform current state-of-the-art methods in terms of accuracy.

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