Miracle-dz/UniFAR-FTUs huggingface dataset:
ASHP guidelines on perioperative pharmacy services.

Historically, pharmacy involvement in perioperative areas primari ly consisted of providing medication stock for access by operating room (OR) staff, confirming appropriate storage conditions, checking expiration dates, submitting billing, and maintaining controlled substance accountability. In the early 1980s, pharmacists recognized the need for increased involvement and OR satellite pharmacies began to appear, particularly in academic institutions. Even so, the focus remained primarily on medication distribution and regulatory compliance. Evolving standards from regulatory and accrediting agencies as well as the need for improved charge capture and greater controlled substance accountability over the last decade drove increased pharmacy involvement in the perioperative medication-use process. Ongoing rapid changes in healthcare now demand that our attention be turned toward incorporating additional activities, such as supporting institutional quality and safety goals, developing perioperative treatment algorithms and order sets, and collaborating with the perioperative team to provide patientcentered, medication-related care in inpatient and outpatient settings. Finally, the challenge of cost-effective perioperative medication use has never been greater, with the movement from fee-for-service payment to value-based payment systems.
Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation Table of Contents Section One: Concepts and Definitions Chapter 1: Data Chapter 2: Data, People, and Systems Chapter 3: Data Management, Models, and Metadata Chapter 4: Data Quality and Measurement Section Two: DQAF Concepts and Measurement Types Chapter 5: DQAF Concepts Chapter 6: DQAF Measurement Types Section Three: Data Assessment Scenarios Chapter 7: Initial Data Assessment Chapter 8 Assessment in Data Quality Improvement Projects Chapter 9: Ongoing Measurement? Section Four: Applying the DQAF to Data Requirements Chapter 10: Requirements, Risk, Criticality Chapter 11: Asking Questions Section Five: A Strategic Approach to Data Quality Chapter 12: Data Quality Strategy Chapter 13: Quality Improvement and Data Quality Chapter 14: Directives for Data Quality Strategy Section Six: The DQAF in Depth Chapter 15: Functions of Measurement: Collection, Calculation, Comparison Chapter 16: Features of the DQAF Measurement Logical Chapter 17: Facets of the DQAF Measurement Types Appendix A: Measuring the Value of Data Appendix B: Data Quality Dimensions Appendix C: Completeness, Consistency, and Integrity of the Data Model Appendix D: Prediction, Error, and Shewhart's lost disciple, Kristo Ivanov Glossary Bibliography
Clinical Efficacy and Safety Profile of Lofexidine Hydrochloride in Treating Opioid Withdrawal Symptoms: A Review of Literature

Opioid use disorder (OUD) is a rapidly growing challenge worldwide and is characterized by an increase in dependence on opioids up to a point that a person loses control over the drug use. Multiple drugs are approved for its treatment, including methadone, buprenorphine, and diazepam. Although not approved, clonidine is also used for the treatment of OUD. On May 16, 2018, the United States Food and Drug Administration (FDA) approved a new drug lofexidine hydrochloride for the treatment of opioid withdrawal symptoms. Lofexidine is a centrally acting alpha two receptor agonist. It reduces the neurochemical surge by inhibiting the conversion of adenosine triphosphate (ATP) into cyclic adenosine monophosphate (cAMP) which in turn decrease the sympathetic outflow. This results in the improvement of withdrawal symptoms. When compared with methadone and buprenorphine, it is equally effective in controlling withdrawal symptoms. Its efficacy is also similar to clonidine with a better side effects profile. The adverse effects of lofexidine include bradycardia, hypotension, orthostasis, somnolence, sedation, dry mouth, and rebound elevations in blood pressure and prolongation of QT interval. Lofexidine is contraindicated in patients who are on beta-blockers and angiotensin converting enzyme inhibitors (ACE inhibitors). In our review, we have discussed the clinical efficacy and safety profile of lofexidine in treating opioid withdrawal symptoms and its comparison to other available treatment options.
Bedeutung der Autoantikörper gegen Zink-Transporter 8 in der Pathogenese des Typ 1 Diabetes im Kindesalter

Ziel der Arbeit war es, die Zusammenhange zwischen Autoantikorpern gegen Zink-Transporter 8 (ZnT8A), den Genotypen des fur ZnT8 kodierenden Gens SLC30A8 und des Risikos fur Typ 1 Diabetes zu bestimmen. Dafur wurden ZnT8A in Seren von 1633 prospektiv beobachteten Kindern gemessen, die einen erstgradigen Verwand-ten mit Typ 1 Diabetes haben und die Genotypen bestimmt. Es zeigte sich, dass der SLC30A8 Genotyp die Varianten der ZnT8A beeinflusste und bei ZnT8A-positiven Kindern das Diabetes-Risiko stratifizierte.
An Novel Energy Balanced Dynamic Routing Protocol Based on Probability in Wireless Sensor Netwoks

Nodes in most wireless sensor networks (WSNs) are powered by batteries with limited energy. So it requires energy efficiency techniques to increase the lifetime of the network.In this paper, an novel energy balanced dynamic routing protocol based on probability(EBDRP-P) is proposed,which is able to prolong network lifetime and balance energy consumption between cluster heads. We introduce the typical energy model to compute energy consumption and state conversion to reduce energy consumption. In addition,we use residual energy,distance and neighbor cluster head number to compute probability of a head becomes the next hop,then reference the ideas of minimum cost spanning routing tree to constructure dynamic routing,namely,always select the maximum probability head as the next hop,which can balance the energy consumption between cluster heads and to prolong network lifetime.Further, simulation experiments are conducted to compare the EBDRP-P with some wellknown clustering algorithms and simulation results show that the proposed methods overcomes the existing methods in the aspects of energy consumption and network lifetime in wireless sensor networks.
Select environmental and genetic determinants of adiponectin and obesity in black and white women

Adiponectin is a promising biomarker linking obesity and disease risk and may be a useful therapeutic for cardiovascular disease, cancer, and type 2 diabetes. However, limited data are available regarding adiponectin in black women among whom obesity is highly prevalent. We conducted a cross-sectional analysis in Southern Community Cohort Study participants to assess racial differences and correlates of serum adiponectin. Adiponectin was measured in 996 black and 996 white women age 40-79 years recruited at community health centers across the southeastern US from 2002 to 2006. Blacks had significantly lower adiponectin levels than whites (geometric means 11.7 versus 15.1 ug/ml, p<0.0001). Among blacks, adiponectin levels were lower among overweight and obese women compared to healthy weight women but showed no clear decreasing trend with increasing severity of obesity; adjusted geometric means (95% confidence interval) were 15.0 (13.8-16.4), 11.5 (10.6-12.5), 9.7 (9.0-10.6), 11.4 (10.3-12.6), and 10.9 (9.5-12.6) ug/ml for body mass index [BMI] categories of 18.5-24.9, 25-29.9, 30-34.9, 35-39.9, and 40-45. In contrast, among whites there was a monotonic reduction in adiponectin across all BMI categories (adjusted geometric means = 19.9 (18.3-21.7), 15.1 (13.9-16.4), 14.3 (13.2-15.5), 12.5 (11.2-13.9), and 11.0 (9.7-12.5) ug/ml). In multiple linear regression models, BMI, age, HDL-cholesterol, and hypertension were important predictors of adiponectin in both groups whereas socioeconomic status (education and income), cigarette smoking, physical activity, and
The Influence of Twitter: Super Bowl Commercial through Social Network

Applying data mining techniques to social media can yield interesting perspectives to understanding individual and human behavior, detecting hot issues and topics, or discovering a group and community. This study aims to address the question of how people use Twitter and to assess the power of Twitter in terms of creating consumer interest in commercials based on an analysis of Twitter messages about various Super Bowl ads by applying data-mining techniques to a case study.
Hippocampal subfields and limbic white matter jointly predict learning rate in older adults

Age-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants 61–82 years of age (Mage=69.66, SDage=3.92 years) we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task over five learning trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, as well as their latent interaction. Results showed limbic WM and the interaction of HC and WM – but not HC volume alone – predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher levels of WM anisotropy. We conclude that structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.
Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator

Wind farm control has demonstrated power production improvements using yaw-based wake steering compared to individual turbine optimization. However, slower yaw actuation rates in response to rapid inflow changes lend to impracticality of yaw-based steering, as it causes time-varying downstream rotor–wake overlap, power production fluctuation, and consequent reduction. Therefore, closed-loop wake control is required to mitigate wake deflection uncertainty. To respond to rapid inflow variations, rotor speed actuated is investigated here. Furthermore, wake position information is required as feedback for closed-loop control function. For field-installed turbines, nacelle-based Light detection and ranging (LIDAR) is expected to provide this information. So far, LIDAR-derived wake position has been determined through model-based field reconstruction of scattered LIDAR data. However, this requires sophisticated, economically prohibitive LIDARs. To incorporate inexpensive, two-beam LIDAR for wake detection, a tip vortex-based approach was developed and is also presented here. These contributions can be considered as intermediate steps toward realization of a novel closed-loop wake control.
What Do Patients Complain About Online: A Systematic Review and Taxonomy Framework Based on Patient Centeredness

Background Complaints made online by patients about their health care experiences are becoming prevalent because of widespread worldwide internet connectivity. An a priori framework, based on patient centeredness, may be useful in identifying the types of issues patients complain about online across multiple settings. It may also assist in examining whether the determinants of patient-centered care (PCC) mirror the determinants of patient experiences. Objective The objective of our study was to develop a taxonomy framework for patient complaints online based on patient centeredness and to examine whether the determinants of PCC mirror the determinants of patient experiences. Methods First, the best fit framework synthesis technique was applied to develop the proposed a priori framework. Second, electronic databases, including Web of Science, Scopus, and PubMed, were searched for articles published between 2000 and June 2018. Studies were only included if they collected primary quantitative data on patients’ online complaints. Third, a deductive and inductive thematic analysis approach was adopted to code the themes of recognized complaints into the framework. Results In total, 17 studies from 5 countries were included in this study. Patient complaint online taxonomies and theme terms varied. According to our framework, patients expressed most dissatisfaction with patient-centered processes (101,586/204,363, 49.71%), followed by prerequisites (appropriate skills and knowledge of physicians; 50,563, 24.74%) and the care environment (48,563/204,363, 23.76%). The least dissatisfied theme was expected outcomes (3651/204,363, 1.79%). People expressed little dissatisfaction with expanded PCC dimensions, such as involvement of family and friends (591/204,363, 0.29%). Variation in the concerns across different countries’ patients were also observed. Conclusions Online complaints made by patients are of major value to health care providers, regulatory bodies, and patients themselves. Our PCC framework can be applied to analyze them under a wide range of conditions, treatments, and countries. This review has shown significant heterogeneity of patients’ online complaints across different countries.
Thalamic-Medial Temporal Lobe Connectivity Underpins Familiarity Memory

The neural basis of memory is highly distributed, but the thalamus is known to play a particularly critical role. However, exactly how the different thalamic nuclei contribute to different kinds of memory is unclear. Moreover, whether thalamic connectivity with the medial temporal lobe (MTL), arguably the most fundamental memory structure, is critical for memory, remains unknown. We explore these questions using an fMRI recognition memory paradigm that taps familiarity and recollection (i.e., the two types of memory that support recognition) for objects, faces and scenes. We show that the mediodorsal thalamus (MDt) plays a material-general role in familiarity, while the anterior thalamus plays a material-general role in recollection. Material-specific regions were found for scene familiarity (ventral posteromedial and pulvinar thalamic nuclei) and face familiarity (left ventrolateral thalamus). Critically, increased functional connectivity between the MDt and the parahippocampal (PHC) and perirhinal cortices (PRC) of the MTL underpinned increases in reported familiarity confidence. These findings suggest that familiarity signals are generated through the dynamic interaction of functionally connected MTL-thalamic structures.
Hydrogels as Drug Delivery Systems; Pros and Cons

Hydrogels are cross-linked polymers with hydrophilic groups which enable them to absorb large amounts of water. Hydrogel based delivery systems have been used for delivery of different types of active pharmaceuticals. Although hydrogels have numerous capability and advantages in drug delivery including biocompatibility, low toxicity and good swelling behavior but depending on chemical moieties of the gel forming polymers and route of administration some limitations would appear in delivery of active pharmaceutical using hydrogel as delivery vehicle. Development of successful hydrogel based delivery system is possible upon knowledge about the hydrogels forming polymers physiochemical properties and understanding the influencing factors which control the swelling behaviors, hydrophilicity, biodegradability, biocompatibility and targetability of the selected polymer. In this review at first classification of the hydrogel with different approaches including chemical moieties, crosslinking agent behaviors and release controller mechanism was performed and limitations arise from each category was described and finally different approaches to overcome each of this limitation was proposed.
Integumental lips’ height and separation in different Angle’s classes of malocclu-sions

Aims: To reveal the possible soft tissue difference in the upper and lower lip heights, separations and coverage of lower lip to upper incisors in different Angle’s classes of malocclusion, to determine any difference in the mean between males and females for each variable and to find any correlation among the variables. Materials and Methods: Nightly nigh students (52 males, 47 females), 20–23 years of age that was randomly selected from the college of dentistry, University of Mosul.The overall sample was classified depending on Angle’s classification of malocclusion into four groups (Class I, II.1, II.2 and III). For each group, four facial soft tissue variables were measured directly using electronic digital viernier caliper. Results: A major findings that emerged from the research is that the Class I subjects possessed higher values of upper lip length followed by Class II then Class III, this difference is significant between Class I,III and II,III and non significant between I,II. Where as Class III subjects possessed non significant higher values of lower lip length followed by Class II then Class I. The lip separation value is non significantly higher in Class II subjects followed by Class III then Class I. While Class III subjects possessed non significant higher values of lower lip to incisor superior followed Class I then Class II. Conclusions: For each specific Angle’s class of malocclusion, a specific facial soft tissue parameters. The upper lip length is greater in Class I subjects. Class III subjects have the greater lower lip length. The inter–labial gap is larger in Class II subjects.While the coverage of the lower lip to incisor superior is greater in Class III subjects. Most of the variables are higher in males than females. Complex correlations among the studied variables are found that varied between weak to high positive or negative with varying degree of significance.
Integrating population genetics to define conservation units from the core to the edge of Rhinolophus ferrumequinum western range

The greater horseshoe bat (Rhinolophus ferrumequinum) is among the most widespread bat species in Europe but it has experienced severe declines, especially in Northern Europe. This species is listed Near Threatened in the European IUCN Red List of Threatened Animals and it is considered to be highly sensitive to human activities and particularly to habitat fragmentation. Therefore, understanding the population boundaries and demographic history of populations of this species is of primary importance to assess relevant conservation strategies. In this study, we used 17 microsatellite markers to assess the genetic diversity, the genetic structure and the demographic history of R. ferrumequinum colonies in the Western European part of its distribution. We found high levels of genetic diversity and large population size on the European mainland and lower estimates in England and Northern France. Analyses of clustering and isolation by distance showed a barrier effect of the Channel and potentially of the Mediterranean Sea on R. ferrumequinum bat dispersal. Conversely, we could not reveal any gene flow disruption from both sides of the Western Pyrenees. These results provide important information to improve the delineation of R. ferrumequinum management units in its western range. We suggest that a large management unit corresponding to the European mainland population must be considered. Particular attention should be given to mating territories as they seem to play a key role in maintaining the high levels of genetic mixing between colonies. Smaller management units corresponding to English and Northern France colonies must also be implemented. These insular or peripheral colonies could be at higher risk of extinction in a near future.