Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Climate change poses water resource challenges for many already water stressed watersheds throughout the world. One such watershed is the Upper Neuse Watershed in North Carolina, which serves as a water source for the large and growing Research Triangle Park region. The aim of this study was to quantify possible changes in the watershed’s water balance due to climate change. To do this, we used the Soil and Water Assessment Tool (SWAT) model forced with different climate scenarios for baseline, mid‐century, and end‐century time periods using five different downscaled General Circulation Models. Before running these scenarios, the SWAT model was calibrated and validated using daily streamflow records within the watershed. The study results suggest that, even under a mitigation scenario, precipitation will increase by 7.7% from the baseline to mid‐century time period and by 9.8% between the baseline and end‐century time period. Over the same periods, evapotranspiration (ET) would decrease by 5.5 and 7.6%, water yield would increase by 25.1% and 33.2%, and soil water would increase by 1.4% and 1.9%. Perhaps most importantly, the model results show, under a high emission scenario, large seasonal differences with ET estimated to decrease by up to 42% and water yield to increase by up to 157% in late summer and fall. Planning for the wetter predicted future and corresponding seasonal changes will be critical for mitigating the impacts of climate change on water resources.
Temporal patterns of physical activity and sedentary time and their association with health at mid-life : the Northern Finland Birth Cohort 1966 study

Physical activity reduces mortality and morbidity and improves physical and psychological health. Lately, the detrimental health associations of excess sedentary time have also been acknowledged. It is still unknown how temporal patterns of physical activity and sedentary time are associated with health, as previous studies have mainly focused on summary metrics of these behaviors; for example, the weekly duration of moderate to vigorous physical activity. This study aimed to investigate the associations between the amount and temporal patterns of physical activity and sedentary time and health at mid-life. Physical activity and sedentary time were objectively measured for two weeks using an accelerometer-based activity monitor in the Northern Finland Birth Cohort 1966 46-year follow-up (n=5,621). Participants attended clinical examinations and completed health and behaviour questionnaires. A machine learning method (Xmeans cluster analysis) was used to identify distinct groups of participants with different patterns of physical activity and sedentary behaviour based on the activity data. A positive, dose-response association was found with perceived health and self-reported leisure time and objectively measured moderate to vigorous physical activity. Higher prolonged sedentary time was associated with better heart rate variability but not with resting heart rate or post-exercise heart rate recovery. Four distinct physical activity clusters (inactive, evening active, moderately active and very active) were recognised. The risk of developing cardiovascular disease was significantly lower in the very active cluster compared to the inactive, and in women also in the moderately active cluster compared to the inactive and evening active clusters. On average, the cardiovascular disease risk was low, indicating good cardiovascular health in the study population. Prolonged sedentary time was associated with cardiac autonomic function, which in this study was not explained by physical activity or cardiorespiratory fitness level. Higher cardiovascular disease risk was found in the activity clusters in which the amount of physical activity was lower and in women took place later in the evening. Results of the study can be used for designing feasible interventions for risk groups with unhealthy physical activity and sedentary behaviour patterns.
AN EXAMPLE OF PRAGMATIC ANALYSIS IN NATURAL LANGUAGE PROCESSING: SENTIMENTAL ANALYSIS OF MOVIE REVIEWS

Natural Language Processing (NLP) studies are one of the most exciting applications of artificial intelligence and it is foreseen that NLP will cause new and revolutionist changes in human-computer interaction. In this aspect, NLP is analyzed in five different segments: Phonology, Morphology, Syntax, Semantics, Pragmatics Analysis. In this paper, a sentimental analysis will be conducted using movie reviews left by users on beyazperde.com. The sentimental analysis allows to automatically draw conclusions about the mood from text data. Thus, numerous reviews left on a movie can be sorted as a positive or negative mood without the need of reading all of them one by one. The ability to sort the reviews automatically according to their mood is invaluable to those who are considering watching the said movie, actors\actresses, producers and advertisers. Such application arms media companies with new and improvable opportunities to create effective strategies. In this aspect, viewer expectations can be analyzed, and this information can be utilized for the upcoming program projects. Importance of communications and information technologies is undeniable. It is foreseen that this paper will aid the production of information processing in Turkish.
“3S Project”: A Community Based Social Marketing Campaign for Promoting Sustainable Consumption Behavior Among Youth

This study aims to evaluate a community-based social marketing (CBSM) campaign for promoting sustainable consumption behavior (SCB) among Thai youth. As a result, the “3S Project” was a CBSM campaign innovation to promote SCB among Thai youth which was created and piloted with a small segment of university students. The project was evaluated using quasi-experimental research in the form of a non-equivalent control group, designed for checking the effectiveness. Multivariate analysis of variance (MANOVA) at . 05 statistically significant level was employed in this analysis. After intervention, it found that the “3S Project” innovation was effective. The mean scores of the experimental group were higher than the mean scores of the control group significantly in all five indicators, including the attitude towards behavior, the subjective norm, the perceived behavioral control, the intention to perform SCB, and sustainable consumption behavior (SCB). These results were recognized as new findings in the field of social marketing communication. They extend the existing body of knowledge in this field of study because using CBSM for sustainable behavior change in Thailand is still considered as being in its initial stage. Therefore, the results of this research project will be strongly beneficial for social marketing practitioners, communication campaign planners, and any organizations related to promote SCB among youth on all levels (international level, national level, and even local level) in utilizing this CBSM campaign innovation for promoting SCB among the Thai youth, both effectively and efficiently.
Which factors most challenged instructors’ integration of technology in KSA education between 2009 and 2019? A systematic analysis review

The introduction of technologies such as E-learning, Learning Management System (LMS), Twitter, Facebook etc. into teaching and learning practices can make the education environment more attractive and active. However, there are some impediments, both external and internal, that influence the use of this technology. As a result, this study attempts to review and analyse studies that have investigated the important internal and external obstacles to faculty members’ use of technology in Saudi education. This study is a systematic analysis review of the relevant literature published between 2009 and 2019. The methodology adopted was the searching of databases. Many databases were searched in order to find the largest number possible of resources and references. Following the criteria established for collecting this data, 16 studies were finally included in the review. The results indicate that a lack of interests and knowledge, and attitudes are the most common internal elements that affect instructors’ use of technology in the Saudi education context, whereas lack of training and time were mentioned as the most common elements that affect instructors use of technology in Saudi education by previous research. This paper discusses the review findings and makes some recommendations.
Master's thesis: Permutations With Restricted Movement.

We study restricted permutations of sets which have a geometrical structure. The study of restricted permutations is motivated by their application in coding for flash memories, and their relevance in different applications of networking technologies and various channels. We generalize the model of $\mathbb{Z}^d$-permutations with restricted movement suggested by Schmidt and Strasser in 2016, to restricted permutations of graphs, and study the new model in a symbolic dynamical approach. We show a correspondence between restricted permutations and perfect matchings. We use the theory of perfect matchings for investigating several two-dimensional cases, in which we compute the exact entropy and propose a polynomial-time algorithm for counting admissible patterns. We prove that the entropy of $\mathbb{Z}^d$-permutations restricted by a set with full affine dimension depends only on the size of the set. We use this result in order to compute the entropy for a class of two-dimensional cases. We discuss the global and local admissibility of patterns, in the context of restricted $\mathbb{Z}^d$-permutations. Finally, we review the related models of injective and surjective restricted functions.
Temporal distribution of fruit-feeding butterflies (Lepidoptera, Nymphalidae) in the eastern extreme of the Amazon region

ABSTRACT Rainfall is one of the most influential factors driving insect seasonality in the Amazon region. However, few studies have analyzed the temporal dynamics of fruit-feeding butterflies in the Brazilian Amazon, specially in its eastern portion. Here, we evaluated the diversity patterns and temporal distribution of fruit-feeding butterflies in a remnant of eastern Amazon forest in the Baixada Maranhense, northeastern Brazil. Specifically, we tested whether fruit-feeding butterflies are temporally structured and whether rainfall influences species richness and abundance. Butterflies were collected with baited traps in both the rainy and dry seasons for two consecutive years. In total, we captured 493 butterflies belonging to 28 species, 15 genera and eight tribes. Three species comprised about half of the overall abundance, and Satyrinae was the most representative subfamily. The fruit-feeding butterfly assemblage showed a strong temporal structure during the second year of sampling, but not during the first year. Species composition and richness did not differ between rainy and dry seasons, and neither abundance nor richness was influenced by rainfall. Our results indicate that seasonality is not a strong environmental filter in this region, and that other biotic and abiotic factors are probably driving the community structure. The predominance of palms in the Baixada Maranhense, which are used as host plants by larvae of several lepidopteran species (specially satyrines) and are available year-round, might have contributed to the observed patterns of temporal diversity.
Network Utility Maximization Resource Allocation for NOMA in Satellite-Based Internet of Things

High-throughput satellite (HTS) is viewed as a promising solution for the next generation of satellite-based Internet of Things (S-IoT). Considering that the onboard communication resources, such as power and storage, are limited, we formulate a joint network stability and resource allocation optimization problem to maximize the long-term network utility of a nonorthogonal multiple access (NOMA) S-IoT downlink system. First, we establish two virtual queues for both the data queueing and power expenditure. Then, a joint optimal problem can be formulated as a problem that optimizes the time average of network utility, which perfectly matches the Lyapunov optimization framework. Therefore, by taking into account the condition of successive interference cancellation decoding, we propose a practical solution under the Karush–Kuhn–Tucker (KKT) conditions, and further introduce an optimal solution by using the particle swarm optimization (PSO) algorithm for the joint resource allocation problem. The simulation results demonstrate that our joint optimization allocation schemes outperform the existing benchmark schemes.
Negative Pressure Wound Therapy Applied to a Meshed Split-Thickness Skin Graft

Skin defects caused by burns, trauma, infections, and chronic ulcers, such as venous ulcers and diabetic foot ulcers, are commonly presented to plastic and reconstructive surgeon in clinical practice. There are several therapeutic methods of the skin and soft tissue defect: inducing secondary healing from the wound dressing to the skin graft or flap surgery. Skin grafting is the most frequently used procedure in the area of reconstructive surgery, defined as a technique for the transfer of cutaneous tissue from one site (donor site) of the body to another (recipient site). Each step of the skin grafting procedure is important, as is postoperative care. Many studies have been published about the three phases of skin graft success: serum imbibition, revascularization, and maturation. To improve graft survival, close contact between the graft and the wound bed is Negative Pressure Wound Therapy Applied to a Meshed Split-Thickness Skin Graft
Low-Cost Interior Permanent Magnet Machine With Multiple Magnet Types

This article is a contribution to answer the following question: Is it possible to design a permanent magnet machine with the performance expected from rare-earth magnets but at a lower cost? Performance being understood as torque, size, efficiency, demagnetization, and temperature rise together. The question is addressed with a systematic exploration of different interior permanent magnet machine topologies mixing rare-earth and ferrite permanent magnets. The study starts from a production baseline, the Prius 2010 traction motor, with interior magnets placed in a single V pattern. It investigates various rotor designs, most specifically, single V and double V patterns as well as spoke configurations. The stator cross-section design and winding selection are fixed, providing a solid comparison basis from the point of view of machine cooling. For each rotor design, torque potential and machine material cost are assessed, the latter expressed as torque per dollar. A promising configuration was found based on a spoke pattern for which further modeling was performed to assess efficiency as well as mechanical strength and resistance to short circuits and to demagnetization. It reduces the rare-earth magnet volume by over 60%.
Medicines and therapeutic pluralism in Maputo: exploring modalities of trust and the (un)certainties of everyday users

The increased accessibility of medicines across the globe has expanded choice in therapeutic consumption. These changes give rise to increasing complexity and new uncertainties regarding the repertoire of therapeutic resources available for everyday users. This raises questions of how individuals evaluate different therapeutic resources and how they choose among such diversity in their daily lives. Using ongoing research in Maputo, Mozambique, in this article I explore how different modalities of trust influence decision-making processes concerning medicine use for minor ailments, particularly the role of trust in the management of perceived uncertainty and risk in a context of therapeutic pluralism. In this article, I draw on data from a study on pharmaceutical use in Maputo, Mozambique. The research included 8 months of ethnographic fieldwork in 2013 and 2014 plus seven focus group discussions with a total of 42 participants. I found that three main layers of trust framed individuals’ relations to medicine use: trust in medical systems, trust in health organisations and providers and trust in personal and socially shared experiences. Despite being strongly intertwined, these different layers played different roles in decision-making. The third layer, grounded on ‘lay’ bases of knowledge and experience, played a major role when individuals chose between the available repertoire of therapeutic resources for minor ailments.
Effect of long-term fertiliser regimes and weather on spring barley yields in sandy soil in North-East Germany

ABSTRACT The interaction effects of different fertilisation regimes and weather variability on crop yield is a challenge that requires long-term investigation. Therefore, yield data for spring barley (SB) in an agricultural long-term field experiment, established in 1963 in Müncheberg, northeast Germany, were analysed to reveal the effects of 21 fertiliser regimes and different weather conditions on SB yields. SB yields were significantly affected by fertilisation regimes (11%), annual weather conditions (55%) and their interaction effect (8%). Mineral N fertilization decreased overall yield variability across seasons as compared to no fertilization and organic fertilization regimes showed higher yield variability. A suitable combined application of mineral nitrogen and organic fertiliser was found to be an effective way to produce higher SB yields than the application of either mineral nitrogen or organic fertiliser alone. A Bayesian linear regression model showed total precipitation during the growing season (April–July) positively affected on SB yields when high mineral N was supplied. At the early growth stage, a precipitation rate (March) and temperature (April or sowing day) negatively affected on SB yield.
Cardiac CT and MRI for Assessment of Cardioembolic Stroke

Corresponding author Kwang Nam Jin, MD Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea Tel: 82-2-870-2540 Fax: 82-2-870-3539 E-mail: wlsrhkdska@gmail.com Cardioembolic stroke is generally severe with a high risk for both early and long-term recurrence, requiring early diagnosis. Cardiac CT and MRI are accurate noninvasive alternatives to echocardiography which can demonstrate the potential cardiac source of an embolism and exclude other potential sources. The major sources of cardioembolic stroke include atrial fibrillation, recent myocardial infarction, valvular heart disease, endocarditis, and atrial myxoma. Minor sources of cardioembolism are paradoxical embolism due to patent foramen ovale and atrial septal aneurysm, atrial or ventricular septal defects, calcific aortic stenosis, and mitral annular calcification. The appropriate clinical application of cardiac CT and MRI can allow an exact and timely diagnosis to be made in embolic stroke patients.
THE FAKEBETES CHALLENGE: A Pilot Study of the Patient as Educator in Diabetes Care

Objective: Healthcare providers do not typically fully understand what it is like to live with a chronic condition. One strategy to help healthcare providers better understand the day-to-day challenges of living with diabetes is to practice being a patient. The purpose of this study was to understand the experiences of healthcare providers and patient educators who participated in the Fakebetes Challenge, a high-fidelity simulation of living with diabetes that utilized patients who were living with diabetes as teachers. Research Design and Methods: In this descriptive qualitative pilot study, blogs written by participants following their participation in the Fakebetes Challenge were examined using content analysis. Results: The Fakebetes Challenge was beneficial to both health care provider learners and patient experts who served as educators. Three themes were identified: 1) enjoyment from the teach ing-learning process of having Fakebetes; 2) healthcare providers’ ability to relate, understand, and empathize; and 3) Fakebetes Challenge concerns and frustrations expressed by Fakebetes Teaching Associates. Conclusion: The Fakebetes Challenge as a pedagogical approach is promising in educating healthcare providers about the day-to-day challenges of living with diabetes and should be replicated with a larger sample. Patients with personal experience and expertise in diabetes can supplement healthcare provider education and support patient-centered care.
K‐PSO: An improved PSO‐based container scheduling algorithm for big data applications

In recent years, Docker container technology is being applied in the field of cloud computing at an explosive speed. The scheduling of Docker container resources has gradually become a research hotspot. Existing big data computing and storage platforms apply with traditional virtual machine technology, which often results in low resource utilization, a long time for flexible scaling and expanding clusters. In this paper, we propose an improved container scheduling algorithm for big data applications named Kubernetes‐based particle swarm optimization(K‐PSO). Experimental results show that the proposed K‐PSO algorithm converges faster than the basic PSO algorithm, and the running time of the algorithm is cut in about half. The K‐PSO container scheduling algorithm and algorithm experiment for big data applications are implemented in the Kubernetes container cloud system. Our experimental results show that the node resource utilization rate of the improved scheduling strategy based on K‐PSO algorithm is about 20% higher than that of the Kube‐scheduler default strategy, balanced QoS priority strategy, ESS strategy, and PSO strategy, while the average I/O performance and average computing performance of Hadoop cluster are not degraded.
The Impact of Big Data on Supply Chain Resilience: the Moderating Effect of Supply Chain Complexity

: Big data represents a new era in data exploration. Less is known on how big data impact on supply chain resilience. This paper explores the relationship between big data and supply chain resilience with considering the mediating role of supply chain visibility and the moderating role of supply chain complexity. Based on data obtained from Chinese manufacturing firms, the analysis shows that there is a direct relationship between big data and supply chain resilience. Big data also enhances supply chain resilience by improving visibility. However, contrary to the hypothesis supply chain complexity moderate the relationship in a negative direction.
High Precision CMOS Integrated Delay Chain for X-Ku Band Applications

A high-precision delay chain circuit integrated in a 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology working in the frequency bandwidth of 8–18 GHz has been designed and tested. The designed delay control integrated circuit with 5-bit delay control provides a maximum delay of 125 ps and has a delay resolution of 3.9 ps. Measured delay error of the fabricated chip is less than 9.3%, making it a considerably accurate delay control circuit. Low delay-error performance has resulted from incorporating a novel delay cell in this delay chain circuit. This newly proposed delay cell is a lumped-element coupled transmission line loaded with a second-order all-pass network (APN). The APN-loaded coupled line delay cell has larger delay-bandwidth product and is less prone to parasitic capacitances of inductor elements compared with conventional passive second-order APN delay cells. The fabricated chip utilizing the novel delay cell occupies an area of <inline-formula> <tex-math notation="LaTeX">$0.9\times3.6$ </tex-math></inline-formula> mm<sup>2</sup> and consumes 115.5- and 13.5-mW dc power from a 3.3-V voltage supply in its high- and low-power modes, respectively.