Miracle-dz/UniFAR-FTUs huggingface dataset:
Baduanjin exercise in the treatment of hypertension: A systematic review and meta-analysis

Background As a therapy to prevent and treat hypertension, exercise is widely used in clinical practice. But due to the lack of documentary evidence, Baduanjin as a relaxed and convenient mode of exercise is not currently recommended by professional health organizations to treat hypertension. The purpose of this article is to examine the efficacy of Baduanjin as an antihypertensive exercise therapy. Methods Our systematic retrieved of the entire relevant literatures in 12 databases. Finally, 28 eligible trials involving Baduanjin intervention in hypertension were included. After the quality assessment and bias risk assessment of the included trials, we analyzed the blood pressure values before and after the intervention, and performed meta-analysis on the random effect results. In order to explore the factors influencing the decrease of blood pressure, we also performed a subgroup analysis of the results. Results Participants (n = 2121) were adults (61.74 ± 5.85years of age, mean ± SD), with baseline blood pressure (systolic blood pressure (SBP) = 150.7 ± 9.2 mmHg, diastolic blood pressure (DBP) = 93.2 ± 8.8 mmHg). Baduanjin was practiced 7.5 ± 3.8 sessions / week for 28.2 ± 12.8 min /session for 16.7 ± 9.2 weeks. Overall, Baduanjin resulted in SBP (−9.3 mmHg, d = −1.49, 95%CI: −1.73 to −1.13) and DBP (−6.3 mmHg, d = −1.20, 95%CI: −1.51 to −0.88) vs. the control group (p < 0.001). After a subgroup analysis of age, we found that SBP heterogeneity was significantly reduced in the elderly group. Conclusion Our results indicate that Baduanjin can effectively reduce blood pressure (i.e., 9.3 mmHg and 6.3 mmHg of SBP and DBP reductions, respectively), and reduce the incidence rate of cardiovascular disease in hypertensive patients. In addition, we will be more likely to recommend that the elderly exercise Baduanjin.
Flight planning: node‐based trajectory prediction and turbulence avoidance

To tackle the ever‐growing demand for air travel, the aviation industry has expressed great interest in assessing the impact weather uncertainty has on flight planning. However, due to the opacity of commercial flight planning systems, there has been an absence of a suitable research platform which weather centres could use to test and convey advancements in numerical weather prediction (NWP) to benefit operational flight planning.
Do identity-based perceptions lead to brand avoidance? A cross-national investigation

Purpose The purpose of this paper is to examine the effects of identity-based consumer perceptions on the brand avoidance of foreign brands across multiple markets. Design/methodology/approach Focussing on general product category brands, the study was conducted across two countries, i.e. New Zealand (Study 1) and Pakistan (Study 2), using online surveys. Study 1 explores the perceptions of university students, whereas Study 2 evaluates the perceptions of a more heterogeneous population across the country. Partial least squares–structural equation modelling was used to analyse the model. Findings First, the results confirm that individual-level identity-based drivers (undesired self-congruence and negative social influence) consistently predict brand avoidance for foreign brands across both markets, whereas country-level drivers (consumer ethnocentrism and animosity) have inconsistent effects across the markets. Second, the study demonstrates that avoidance attitude fully mediates the relationship between antecedences and intentions to avoid foreign brands. Practical implications The finding that undesired self-congruence is the strongest predictor of brand avoidance across the markets reinforces the importance of brand image congruence with the target audience. Considering the negative effect of social influence, especially on social media (i.e. Facebook and Twitter), this finding cautions managers to constantly monitor the prevailing negative word of mouth (online or offline) about the brand to mitigate its potential effect. Originality/value Drawing on social identity theory, this study explores the identity-based pre-purchase determinants of brand avoidance at the country level and at the individual level. These determinants have never been explored yet in the context of brand avoidance.
Role of 3D FLAIR in demonstration of peripheral lesions of brainstem and cranial neuropathies.

Aim: We present a pictorial review of 3D FLAIR images depicting its importance in demonstrating the peripheral lesions of brainstem particularly in relation to attachment of cranial nerves and cranial neuropathies and particularly in context of patients with multiple sclerosis (MS). Discussion: T2 axials and routine 2D FLAIR have drawbacks in depicting the lesions on the peripheral aspects of brainstem. Such lesions are commonly found in MS. The revised McDonald’s criteria (2010) put equal emphasis on periventricular, juxtacortical, infratentorial and cord lesions. Detection of peripheral lesions thus play important role in fulfilling the criteria of dissemination in space and also provide anatomic correlate in several cranial nerve palsies. In clinically isolated syndromes, demonstration of lesions at the site of affected cranial nerves increase diagnostic confidence and exclude other potential disease processes. Ability to show signal changes at cranial nerve attachment can also potentially prevent a false attribution of symptoms to neurovascular compression. Conclusion: We propose that 3D FLAIR sequence is extremely useful in detecting Review Article International Neuropsychiatric Disease Journal, 2(4): 167-174, 2014 168 abnormalities on the surface of brainstem and cranial nerve attachments and should be performed in all patients of MS and cranial nerve palsies.
The Effect of Local Value on Financial Performance in Digital Society Era

The digital era reduces the boundaries obstacles between societies. However, the local value still has role because the value encourages the management to behave ethically. The aim of this study is to provide empirical evidence about the important role of local wisdom value to encourage the optimal financial company performance. This study uses the local value, such as Islamic Value, that has recognized formally by Indonesia Government as Jakarta Islamic Index. Management considers the Islamic Sharia as local wisdom value of Indonesian to behave ethically. The result shows that local value has significant positive effect to financial performance. The result also supported by the finding that corporate governance score that has formulated globally is insignificant different between the members of Jakarta Islamic Index and Non Jakarta Islamic Index. The result implies that local wisdom can be considered on digital era as the part of corporate governance formulation because it captures the certain region characteristics. This study contributes to agency theory through the awareness of management on local value emerged from local wisdom value to align with shareholder’s interest. This study also contributes to the implementation of corporate governance practice, because the local wisdom value can become the social enforcement for management to behave ethically. Keywords—local value; ethics; digital era; agency theory; financial performance
Improved Path Planning Based on Rapidly-Exploring Random Tree for Mobile Robot in Unknown Environment

An improved path planning algorithm is proposed by combining rapidly-exploring random tree (RRT) and rolling path planning.In this algorithm,the real-time local environment information detected by the robot is fully used and the on-line planning is performed in a rolling style.Therefore,the RRT algorithm can be used in both known and unknown environment.Only the local environmental map is calculated in the planning to improve the planning efficiency,and thus the planning in real time is guaranteed.The calculation of analytical expressions of the obstacle can be ignored.Hence,the memory is saved greatly.Based on the algorithm of rapidly-exploring random,the heuristic evaluation function is introduced into the improved algorithm,so that the exploring random tree can grow in the direction of target point.The regression analysis,which avoids local minimum,enhances the capability of searching unknown space.The simulation results verify the effectiveness of the improved algorithm.
Stochastically modeling the projected impacts of climate change on rainfed and irrigated US crop yields

Food demands are rising due to an increasing population with changing food preferences, placing pressure on agricultural production. Additionally, climate extremes have recently highlighted the vulnerability of the agricultural system to climate variability. This study seeks to fill two important gaps in current knowledge: how irrigation impacts the large-scale response of crops to varying climate conditions and how we can explicitly account for uncertainty in yield response to climate. To address these, we developed a statistical model to quantitatively estimate historical and future impacts of climate change and irrigation on US county-level crop yields with uncertainty explicitly treated. Historical climate and crop yield data for 1970–2009 were used over different growing regions to fit the model, and five CMIP5 climate projections were applied to simulate future crop yield response to climate. Maize and spring wheat yields are projected to experience decreasing trends with all models in agreement. Winter wheat yields in the Northwest will see an increasing trend. Results for soybean and winter wheat in the South are more complicated, as irrigation can change the trend in projected yields. The comparison between projected crop yield time series for rainfed and irrigated cases indicates that irrigation can buffer against climate variability that could lead to negative yield anomalies. Through trend analysis of the predictors, the trend in crop yield is mainly driven by projected trends in temperature-related indices, and county-level trend analysis shows regional differences are negligible. This framework provides estimates of the impact of climate and irrigation on US crop yields for the 21st century that account for the full uncertainty of climate variables and the range of crop response. The results of this study can contribute to decision making about crop choice and water use in an uncertain future climate.
Teaching In The Middle And Secondary Schools

Thank you very much for reading teaching in the middle and secondary schools. As you may know, people have look numerous times for their favorite readings like this teaching in the middle and secondary schools, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some harmful bugs inside their laptop. teaching in the middle and secondary schools is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the teaching in the middle and secondary schools is universally compatible with any devices to read.
Two New β3 Integrin Mutations in Indian Patients with Glanzmann Thrombasthenia: Localization of Mutations Affecting Cysteine Residues in Integrin β3

Summary New mutations in the β3 integrin subunit have been identified in two unrelated Glanzmann thrombasthenia patients originating from India and Bangladesh. Both patients had histories of excessive bleeding and were found to have Glanzmann thrombasthenia based on absent ADPinduced platelet aggregation. Immunoblotting of platelet lysates of Patient 1 demonstrated reduced levels of αIIb and an unexpected high Mr β3 band of ∼260,000, with little or no normal-sized β3. Upon reduction, a weak β3 band of normal Mr was observed. Platelet lysates of Patient 2 demonstrated undetectable levels of β3. Sequence analyses identified homozygous mutations in the β3 genes of both patients. Patient 1 had a C506Y missense mutation resulting in the expression of an unpaired cysteine; we propose that the Mr ∼260,000 band is a disulfide-bonded β3 dimer. Patient 2 had an insertion mutation resulting in a frameshift and premature termination. Both mutations affect biogenesis of platelet αIIbβ3 receptors. This work was supported in part by grants HL19278 (B.S.C.), AHA Heritage Affiliate, Ilma F. Kern Foundation in honor of Jonathan Halperin, MD (D.L.F.), The Charles Slaughter Foundation (D.L.F.), and a fellowship from an Institutional NRSA, NHLBI T32 HL07824-06 (to W.B.M.)
An automated collision-avoidance motion planner among moving objects or machines

An automated motion planner is proposed for coordinating collision-free motions among dynamic moving objects or machines in a 3D space. Based on the concept of modified path-velocity decomposition, an algorithm is proposed for evaluating the performance of different motion strategies. As a result, the motion planner coordinates collision-free motions for multiple uncontrollable/controllable objects moving in a shared environment. A dynamic object can also be a multibody object such as a robot. The applicability of the proposed approach is demonstrated through two examples. The results show that multiple controllable and uncontrollable machines can work together in an industrial environment by efficiently avoiding collisions. <<ETX>>
Senses by Seasons: Tourists’ Perceptions Depending on Seasonality in Popular Nature Destinations in Iceland

Seasonality in visitor arrivals is one of the greatest challenges faced by tourist destinations. Seasonality is a major issue for sustainable tourism as it affects the optimal use of investment and infrastructure, puts pressure on resources and can create negative experience of crowding at destinations. Peripheral areas commonly experience more pronounced fluctuations in visitor arrivals. Iceland is one of those destinations. Although the number of tourists visiting the country has multiplied in recent years, seasonality is still a major challenge, especially in the more rural peripheral areas of the country. Iceland’s high season for tourism occurs during its brief summer (June to August), but in recent years more people visit the country on shorter winter trips, creating new management challenges. This research is based on an on-site questionnaire survey conducted in seven popular nature destinations in Iceland which compares the experience of summer and winter visitors. The results show that winter visitors are more satisfied with the natural environment while their satisfaction with facilities and service is in many cases lower. The areas are generally perceived as being more beautiful and quieter in winter than in summer. However, most destinations are considered less accessible and less safe in the winter. Tourists are much less likely to experience physical crowding during winter, although winter visitors are more sensitive to crowds, most likely because of expectations of fewer tourists. Finally, this research shows that tourists are less likely to encounter negative effects of tourism on the environment in the winter, (e.g., erosion or damage to rocks and vegetation), than in summer. The results highlight the importance of understanding visitor perceptions in a seasonal and temporal context.
Shaping Future Type of Poverty - The Foresight of Future Socio-economic Problems & Solutions - Taking Poverty as a Context- Beyond 2030

The collective international efforts since the early 1990s have managed to alleviate and eliminate extreme poverty in many regions of the world. However, with the fast development of poverty elimination, the world development is bringing new types of poverty that not clearly visualised and shaped yet. This paper target to study the type of projects and then practices that could mitigate the relative poverty in the future. List of the current sources of poverty and poverty-related problems tackled by the inspiration economy project were reviewed. 27 type of projects were identified and plotted on a matrix to see their role in managing the complication, rather than the complexity of the poverty elimination project. The matrix shows the poverty elimination projects that need to be continued to address the new coming types of poverty. Recommendation for what actions can be taken, from now, to change the mindset of those categories who have the potential to be poor or continue to be poor in the future, are taken based on the discussions of specific criteria of identifying future poverty. Future field driven poverty-focused action research is advised, in order measure the changing social norms of poverty-related problems in the future.
Vergleich der optischen Eigenschaften von hyperspektralen Kameras

Der Beitrag beschaftigt sich mit dem Vergleich zweier hyperspektraler Kameras: ein System mit einem Offner-Spektrographen und eine Kamera mit direkt auf dem Sensorchip aufgebrachten spektralen Filtern. Dabei sollte geklart werden, ob und wie sich beide Systeme in ihren optischen Eigenschaften unterscheiden. Auserdem sollen entsprechende Mase fur die Beschreibung untersucht und dafur angewendet werden. Im Deutschen Zentrum fur Luft- und Raumfahrt (DLR) wird zurzeit das Projekt DLR Earth Sensing Imaging Spectrometer (DESIS) bearbeitet (ECKARDT et al. 2015). Dabei handelt es sich um ein hyperspektrales System mit einem optischen Gitter im Offner-Design. Dieses wird kunftig an der International Space Station (ISS) installiert, um von dort die Ozeane, die Erdoberflache und auch die Atmosphare zu beobachten. Die Idee zu diesem System entstand bereits im Jahr 1998. Im Rahmen einer Vorstudie um 2002 entstand das Offner-Spektrometer (Bread-board), welches nun fur den Vergleich genutzt wird. Im Verlaufe der Arbeit wird untersucht, wie sich die raumlichen und spektralen Eigenschaften (z.B. Auflosung) der klassischen high-end und neuartigen low-cost Variante verhalten.
Authentic Learning Experiences: A Real-World Approach to Project-Based Learning

Chapter 1: Authentic Learning Experiences: An Introduction Chapter 2: Creating a Challenging Investigation Chapter 3: Creating the Community/Career Connection Chapter 4: Justification of One's Work Chapter 5: Creating a Meaningful Outside Audience Chapter 6: The Common Core and Other Standards Chapter 7: Designing Interdisciplinary Authentic Learning Experiences Chapter 8: Authentic Assessment Chapter 9: Facilitating Authentic Learning Experiences
Comparison of the Effect of Plyometric Training on Oxidative Stress and Biochemical Parameters among Tennis Players

Abstract The present research is aimed at examining the effect of 8-week plyometric trainings on oxidative stress and biochemical parameters among tennis players. In this study, 39 male certified male tennis players between the ages of 20-25 voluntarily participated. The participants in this research were divided into two groups randomly as control group (Age-22.67±1.61, Height-180.43±6.85, Weight-77.43±7.79 kg and BMI-23.73±1.23 kg/m2), and experimental group (Age-22.76±1.58, Height-176.40±8.49, Weight- 73.25±10.04 and BMI-23.45±1.72). Experimental group were subjected to a program of 105-minutes; 35-minute plyometric training and 70-minute standard tennis training; while control group was engaged in 105-minute standard tennis training without any plyometric training for 8 weeks. Before and after 8-week training programs, blood samples were taken from the participants after 12-hour night fasting. Mann-Whitney U test was used for the analysis of pre-tests of groups; in-group pre-test and post-test differences were tested with Wilcoxon test. As a result, the findings showed that eight-week plyometric training increased MDA, GSH, and levels supports the assumption that regular physical activity has positive health effects.
Oil Market Analysis for Teal

The goal of our project was to identify key economic indicators that have a significant influence on the price of oil per barrel. We identified five key indicators: Change in Inventory, OPEC Policy, GDP, Rig Count, Social/Environmental Factors. We used SPSS to build a linear multi-regression model between the dependent variable (price of oil) and the five indicators. We identified statistically significant variables and examined multiple scenarios in respective case of fluctuations in social/environmental factors and OPEC policy.
Can Club Model Explain the Rise of the Islamic State

The Islamic State of Iraq and the Levant has become a major threat of the contemporary period. It is therefore important to find the efficient way how to fight this group successfully. Besides political, social and psychological approaches to the counter-terrorism topic, there is also the club model in economics of religion that can surprisingly well model behaviour of radical extremist units and that proposes implications for counter-terrorism policy. It implies that terrorist organizations that provide social services can function as clubs. They introduce prohibitions such as dress code to ensure active participation and use sacrifices to screen out free-riders. Both of these practices make these groups unusually successful. This thesis has two main goals. Firstly, we show that ISIL has all the necessary attributes to fit into the club model framework, which we confirm by suggestive evidence that this organization uses escalated violence to select loyal members. Secondly, based on the club logic, we claim that efficient policy measures to fight ISIL should be focused on improving provisions of public goods in Syria and Iraq, creating better paid jobs and encouraging education. JEL Classification D2, H41, H56, O17, Z12
Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future

Social-ecological network (SEN) concepts and tools are increasingly used in human-environment and sustainability sciences. We take stock of this budding research area to further show the strength of SEN analysis for complex human-environment settings, identify future synergies between SEN and wider human-environment research, and provide guidance about when to use different kinds of SEN approaches and models. We characterize SEN research along a spectrum specifying the degree of explicit network representation of system components and dynamics. We then systematically review one end of this spectrum, what we term ‘fully articulated SEN’ studies, which specifically model unique social and ecological units and relationships. Results show a larger number of papers focus on methodological advancement and applied ends. While there has been some development and testing of theories, this remains an area for future work and would help develop SENs as a unique field of research, not just a method. Authors have studied diverse systems, while mainly focusing on the problem of social-ecological fit alongside a scattering of other topics. There is strong potential, however, to engage other issues central to human-environment studies. Analyzing the simultaneous effects of multiple social, environmental, and coupled processes, change over time, and linking network structures to outcomes are also areas for future advancement. This review provides a comprehensive assessment of (fully articulated) SEN research, a necessary step that can help scholars develop comparable cases and fill research gaps.