Miracle-dz/UniFAR-FTUs huggingface dataset:
Recent Progress in Traditional Chinese Medicines and Their Mechanism in the Treatment of Allergic Rhinitis

Objective To conduct a systematic review on the mechanism of action and use of traditional Chinese medicines (TCM) in allergic rhinitis treatment. Background Allergic rhinitis (AR) is a type I allergic disease of the immune system induced by immunoglobulin E mediated inflammation and is characterized by sneezing, nasal itching, paroxysmal nasal obstruction, mucosal edema, cough, and rhinorrhea. More than 500 million people have been affected by rhinitis worldwide in the past 20 years, leading to negative effects on health, quality of life, and social relationships. Currently, the trending medicines used in the case of AR include intranasal corticosteroids and oral H1 antihistamines, which are given as combinatorial medicines supplemented with immune therapy. These medications have been found to be very effective in either the short term or long term; however, they have been found to possess some serious side effects. Search Methodology. The information in this article on classical and traditional Chinese medications used to treat AR was derived from original papers and reviews published in Chinese and English language journals. Two Chinese databases (Wanfang and CNKI) and three English databases (Cochrane Library, PubMed, and Embase) were utilized for data gathering. Results Traditional Chinese remedies have been identified to influence the production of cytokines such as IL-5 and IL-6, which are key mediators of eosinophilic inflammation, TNF-α, which stimulates TH2 cells at the site of inflammation, and NF-кB, which is required for cytokine and IgE antibody production. TCM has also been shown to be successful in lowering histamine levels, preserving histological changes by decreasing the thickness of the lamina propria, and downregulating the expression of Orai1, STIM1, and TRYC1, showing low expression of Ca+2 channel proteins. Conclusion In this review, we discussed a series of classical, traditional Chinese medications, including Centipeda minima, Scutellaria baicalensis, licorice root (Glycyrrhiza uralensis), and others, as potential antiallergic agents and investigate their in vivo effect upon the production of cytokines and release of histamines for allergic rhinitis treatment.
THE NEXUS BETWEEN FISCAL POLICY AND ECONOMIC GROWTH FOR JORDAN: FRESH INSIGHTS FROM MAKI COINTEGRATION

The current study was carried out to empirically investigate the relationships between government expenditure, taxes, and debt in Jordan, using the annual time series data over the period 1980-2020. Despite the increased awareness of the importance of fiscal policy, Jordan is still seeing a drastic decrease in the volume of growth. Thus, this study was carried out to determine how government expenditure, taxes, and debt affect economic growth. For the empirical analysis, the study adopted Augmented Dicky Fuller, Phillips-Perron unit root tests, Zivot and Andrews and Lumsdaine and Papell unit root tests with structural breaks. It employs recently developed econometric techniques such as Maki cointegration tests allowing for an unknown number of breaks. The results of the cointegration test showed the presence of a cointegration relationship with structural breaks. It was found that the Jordanian crisis that occurred in 1989 harmed economic growth. However, the structural break in 2008 had an affirmative effect on economic growth. According to the study, tax revenues, public deficits, and debt can all be reduced and the economy can thrive if policymakers implement smart fiscal policies that boost gross fixed capital formation.
A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions

Screening clouds, shadows, and snow is a critical pre-processing step in many remote-sensing data processing pipelines that operate on satellite image data from polar and high mountain regions. We observe that the results of the state-of-the-art Fmask algorithm are not very accurate in polar and high mountain regions. Given the unavailability of large, labeled Sentinel-2 training datasets, we present a multi-stage self-training approach that trains a model to perform semantic segmentation on Sentinel-2 L1C images using the noisy Fmask labels for training and a small human-labeled dataset for validation. At each stage of the proposed iterative framework, we use a larger network architecture in comparison to the previous stage and train a new model. The trained model at each stage is then used to generate new training labels for a bigger dataset, which are used for training the model in the next stage. We select the best model during training in each stage by evaluating the multi-class segmentation metric, mean Intersection over Union (mIoU), on the small human-labeled validation dataset. This effectively helps to correct the noisy labels. Our model achieved an overall accuracy of 93% compared to the Fmask 4 and Sen2Cor 2.8, which achieved 75% and 76%, respectively. We believe our approach can also be adapted for other remote-sensing applications for training deep-learning models with imprecise labels.
Introducing digital pulse as a deviation management methodology for dental product development and production

Pulse methodology is a lean deviation management methodology that helps to visualise the deviations using visualisation artefacts (e.g., white boards and TVs) and frequent meetings for internal synchronisations within a company. The purpose of this study is to fill the gap within the lean literature about teaching and introducing pulse methodology. It presents a case study where digital pulse methodology was introduced to a customer-order-driven product development and production company within the dental device industry to help the company efficiently manage the deviations arising from daily operations so that it becomes more lean by visualising important data and capturing and reusing knowledge. The presented case study and the conclusions will be useful for researchers, companies, and consultants who want to try out pulse methodology or understand the implementation process.
Optimizing the PID Controller by Using the Genetic Algorithm

This paper aims to develop a Proportional Integral Derivative (PID) controller for the Automatic Voltage Regulator (AVR) of the Synchronous Generator, Automatic Voltage Regulator is responsible for keeping the output voltage of the Generator constant and stable. The Automatic Voltage Regulator system can be represented by a fourth order Transfer Function. The parameters of the controller are evaluated by using the Genetic Algorithm tuning method, for this method the Genetic Algorithm Optimization toolbox in MATLAB is used. A PID controller and a PID Filter controller are developed in order to come up with the optimum controller design for the system. The performance of the Genetic Algorithm based controller has been compared with the classical Ziegler-Nichols based controller. The results show that the Genetic Algorithm based controller outperforms the Ziegler-Nichols based controller, the optimum controller design is achieved by the GA based PID filter controller.
Implementation of a Modified Lid Driven Cavity in OpenFOAM

The standard lid-driven cavity test case is one of the most used validation cases in CFD. Whilst comparisons with experimental and particularly DNS simulations are possible, there is no analytical solution, and the case is ill-posed when considering the boundary conditions. A modified lid driven cavity (MLDC) case exists in the literature in which the lid velocity is non-uniform and which introduces a spatially varying body force, and for which there is a closed-form analytical solution to the Navier-Stokes equations which is a function of the Reynolds number. In this paper I present an implementation of the MLDC as a modification of the standard OpenFOAM case, using run time coding for the boundary conditions and fvOptions, and show how convergence to the solution is affected by numerical parameters ofsimpleFoam such as choice of matrix inversion. The existance of an analytical solution also allows the investigation of the relation between the solver residual and the true solution error.
EFEKTIVITAS KUALITAS LAYANAN DI TENGAH PERSAINGAN ONLINE TRAVEL AGENT MELALUI KEPUASAN PELANGGAN

This research aims to determine the effect of service quality on customer satisfaction through the purchasing decision of airlines ticket products at Holiday Indonesia. This research is descriptive quantitative research, with a population of customers who have purchased airplane tickets at Holiday Indonesia at least two times in 2020 as many as 415 customers. The sampling technique in this study used the purposive sampling technique, namely 119 samples that had met the criteria. Data processing uses path analysis as the method used to determine the direct and indirect effects between variables and the Sobel test to determine whether purchasing decisions are capable of being a mediator between the relationship between service quality and customer satisfaction. The results show that service quality has a positive and significant effect on purchasing decisions. Service quality has a positive and significant effect on customer satisfaction and purchasing decisions have a positive and significant impact on customer satisfaction. The relationship between service quality and customer satisfaction can be mediated by purchasing decisions with a Z value (mediation), and concluded that the purchasing decision variable has a significant influence as a mediator between the relationship between service quality and customer satisfaction.
Nostalgia across cultures

Nostalgia, a sentimental longing for one's past, has been garnering keen empirical attention in the psychological literature over the last two decades. After providing a historical overview, we place the emotion in cross-cultural context. Laypeople in many cultures conceptualize nostalgia similarly: as a past-oriented, social, self-relevant, and bittersweet emotion, but more sweet (positively toned) than bitter (negatively toned). That is, the nostalgizer reflects on a fond and personally important event—often their childhood or valued relationships—relives the event through rose-colored glasses, yearns for that time or relationship, and may even wish to return briefly to the past. Also, triggers of nostalgia (e.g., adverts, food, cold temperatures, loneliness) are similar across cultures. Moreover, across cultures nostalgia serves three key functions: it elevates social connectedness (a sense of belongingness or acceptance), meaning in life (a sense that one's life is significant, purposeful, and coherent), and self-continuity (a sense of connection between one's past and present self). Further, nostalgia acts as a buffer against discomforting psychological states (e.g., loneliness) similarly in varied cultural contexts. For example, (1) loneliness is positively related to, or intensifies, nostalgia; (2) loneliness is related to, or intensifies, adverse outcomes such as unhappiness or perceived lack of social support; and (3) nostalgia suppresses the relation between loneliness and adverse outcomes. Additionally, nostalgia facilitates one's acculturation to a host culture. Specifically, (1) nostalgia (vs. control) elicits a positive acculturation orientation toward a host culture; (2) nostalgia (vs. control) amplifies bicultural identity integration; and (3) positive acculturation orientation mediates the effect of host-culture nostalgia on bicultural identity integration. We conclude by identifying lacunae in the literature and calling for follow-up research.
GSM and GPRS Security Using OsmocomBB

This thesis analyzes the security of Norwegian GSM and GPRS networks using the OsmocomBB project, which aims to create a free and open source GSM baseband software implementation. OsmocomBB was used to understand the GSM system, and to understand and implement two types of attacks. The first one is an eavesdropping attack, and the second one is a set of Denial-of-Service attacks: the RACH flood attack, the IMSI attach flood attack, the IMSI detach attack, and an attack based on race conditions in the paging process. The feasibility of these attacks on Norwegian networks was assessed. It was found that both Telenor and Netcom seem protected from the eavesdropping attack. The IMSI detach attack is effective on Telenor, but not on Netcom. The other Denial-of-Service attacks are probably effective, but were not tested since they could damage the networks.
A video painterly stylization using semantic segmentation

ABSTRACT Most deep-learning-based style transfers methods for video extraction use features from only a single style image to perform texture synthesis. However, this does not allow users to be creative or selective. Moreover, styles are applied to both foreground objects and backgrounds. This paper presents a painterly style transfer algorithm for video based on semantic segmentation that can segment the foreground and background, enabling different stylizations. First, a fully convolutional neural network was constructed for semantic segmentation, and a GrabCut method with a dynamic bounding box was used to correct segments and refine contours and edges. Second, an enhanced motion estimation method was applied between the foreground and background objects. Third, style transfer was used to extract textures from a style image and perform texture synthesis on a content image while preserving the architecture of the content image. The proposed method not only improves the motion boundaries of optical flow but also rectifies discontinuous and irregular segmentation due to occlusion and shape deformation. Finally, the proposed method was evaluated on various videos.
MobilityFirst Lite Over Things

OF THE THESIS MobilityFirst Lite Over Things by Haoyang Yu Thesis Director: Professor Yanyong Zhang New features like global reachability, mobility and multiple communication models are needed with the development of Internet of Things (IoT). However many approaches have been proposed to build an IoT platform based on IP-overlay architecture, but these solutions inheritly have constraints for new requirements in IP-based architecture. MobilityFirst, a clean-slate future Internet architecture, was proposed in order to provide new features like global reachability, mobility and diverse communication models, using globally unique identifiers (GUID), global name resolution services (GNRS), etc; however, it is too bulky for computing-constraints and memory-limited devices. In this paper, we are designing the MobilityFirst Lite (MF-Lite) Over Things architecture, which can run on a computing-limited embedded system for packet dissemination and data gathering. The MF-Lite, over things, protocol supports different communication patterns like unicast and multicast. The sensor motes used with GUID are globally reachable and have seamless connection in sensor-to-sensor and sensor-toinfrastructure.
Effect of Spice form and Extraction Period on Total Phenolic Content of Selected Ugandan Spices

Introduction: Spice consumption is one of the globally recognized healthy nutritional practices. Most spices contain phenolic compounds that may prevent or prolong the onset of non-communicable diseases. The harvesting, processing and preparation procedures of such spices may influence the phenolic amount extracted and eventual biological availability. Literature about how extraction period and spice form affects total phenolic content yield in water infusions is scanty. Aim: This study determined the effect of spice form and length of extraction time on the total phenolic content (TPC) yield of the selected Ugandan spices infused in water. Methods: Samples of Ocimum gratissimum, Allium sativum, Cymbopogon citratus and Zingiber officinale, were collected in triplicates from Kanungu, Bushenyi and Lugazi Districts, in Uganda. Fresh and dry samples of these spices were infused in hot water for four minutes and 40 minutes and sieved with Whatman paper, No. 1. Phenolic content was measured with a spectrophotometer at Makerere University, Biochemistry Department, following Folin-ciocalteu method, using gallic acid as the reference standard. Results were analyzed using GraphPad Prism 8.0. 1 software. Results: Higher TPC yield was generally observed in dry samples compared to the flesh ones and 40-minute extracts of both fresh and dry samples also had higher TPC content compared to the four minutes ones. The highest TPC yield was observed in Cymbopogon citratus (12.21±0.75 mg GAE/g) among the dry samples and Ocimum gratissimum (10.02±2.45 mg GAE/g) among the fresh samples, extracted for 40 minutes. Conclusion: Longer extraction time and sample dryness maximize TPC yield. Ocimum gratissimum and Cymbopogon citratus may benefit consumers by improving their antioxidant status.
Lean beyond waste: Towards the reduction of variability and buffers in healthcare

In de zorg is Lean een populaire manier van procesverbetering en het reduceren van verspillingen is een speerpunt in een Lean aanpak. Naast het reduceren van deze verspillingen worden Lean initiatieven ook geacht zich te richten op variabiliteit en de hier uit voortkomende buffers. Er wordt onderscheid gemaakt worden tussen natuurlijke en kunstmatige variabiliteit. Deze kunstmatige variabiliteit komt voort uit ons eigen handelen en moet worden gereduceerd. In een zorgomgeving zijn voornamelijk tijds- en capaciteitsbuffers van toepassing. Naast deze reeds bekende buffervormen is er in dit proefschrift ook uitgebreid aandacht voor een ander buffermechanisme: het bufferen met bewerkingstijd. De resultaten in dit proefschrift dragen bij aan de basis van Lean theorie. In vier onderzoeksprojecten richten we ons op de rollen van variabiliteit en buffers, aspecten van Lean volwassenheid. Ondanks het grote aantal bestudeerde interventies in het eerste onderzoeksprojecten zijn er slechts enkele interventies die aantoonbaar variabiliteit reduceren en doorlooptijd verkorten. Het overgrote deel van de interventies blijkt zich te richten op het reduceren van duidelijke verspillingen. We laten zien dat een relatief kleine kennisbijdrage de focus van de interventies weet te verbreden. Dit proefschrift identificeert meerdere mogelijkheden om Lean in de zorg effectiever toe te passen.
Irrigation Management Transfer Between Public Organizations and the Role of Participatory Irrigation Management Under Public Irrigation Management in Korea†

The recent irrigation management transfer (IMT) from local government to the Korean Rural Community Corporation (KRC) run by the government for better service is an emerging social issue. In this study, we conducted an extensive survey to learn about IMT between the KRC and local government. Structured questionnaires were prepared and a survey conducted with farmers, KRC members and local government officials. Most agreed with the IMT from local government to the KRC. However, the transfer of assets revealed divided opinions. The survey results show that the farmers' contribution to the maintenance of canals, including clearing water weeds and dredging ditches, was required to maintain quality even after the transition to KRC management in accordance with political and social issues. The survey also confirmed that some actions have to be implemented to improve irrigation management by encouraging farmers' participation under the public irrigation management (PubIM) system. These actions include reorganization of the discarded water management committee to revive the concept of participatory irrigation management (PIM) and subsidies (direct payments) for loyal farmers as an incentive for their labour. Copyright © 2016 John Wiley & Sons, Ltd.
DELAY IN DIAGNOSIS OF ANTERIOR CRUCIATE LIGAMENT RUPTURES

Introduction: Rupture of the anterior cruciate ligament (ACL) is a common injury and often presents with a typical injury pattern. Historic literature has shown that the accuracy of diagnosis of ACL ruptures is poor at the initial medical consultation despite the history of injury strongly suggesting an ACL injury. The aims of this study were to determine: if the accuracy of diagnosis of ACL ruptures at initial presentation has improved over the last decade; grade of medical staff at initial and subsequent consultations; the mechanism of injury; and the subsequent delay in diagnosis and definitive treatment. Materials and Methods: One hundred and thirty two consecutive patients who underwent ACL reconstruction between January 2005 and January 2009 were analysed using prospective collected data. The mean age of the patients was 29 years (12–57). Sixteen patients were excluded due to chronic ACL injury (15). Results: One hundred and sixteen patients (117 ACL ruptures) were included in the analysis. A typical injury pattern was documented in 87 (75%) of cases. The most common sporting activities associated with an ACL injury were football (35.3%), skiing (21.6%), rugby (10.3%) and other (32.8%). The vast majority of patients (68.1%) sought medical attention within 1 week from time of injury. The diagnosis of an ACL rupture was made in 33 cases (28%) at the initial medical consultation. The diagnosis was made in 13 (11%) of cases with the use of MRI and 6 (5%) cases at arthroscopy. The most common diagnoses made in cases of failed ACL rupture diagnosis were medial meniscal tear (10.3%), medial collateral ligament injury (7.8%) and none (33.6%). The mean time to diagnosis was 21 weeks (0–192) and the mean time to ACL reconstruction was 44 weeks (1–240). Conclusions: Despite a typical mechanism of injury leading to ACL rupture the rate of initial diagnosis remains poor. This often leads to an unnecessary delay in diagnosis and subsequent treatment. Possible reasons for this are discussed.
Accurate classiﬁcation of bioclimatic data: spatial analysis

— This paper presents a general methodology for processing bioclimatic data in the spatial domain whose main goal is to derive indications related to the moisture/dryness level of a region and provide water management authorities with information about its irrigation requirements. The methodology uses point-scale measurements of weather related data to perform a detailed analysis of the spatial behavior of the corresponding bioclimatic indicators at the continuous regional scale. The proposed methodology, although more demanding in terms of computation resources, gives more accurate results than standard approximate approaches available in current GIS packages. This methodology has been applied to a particular case study using the well known De Martonne index as a bioclimatic indicator.
Study of Efficient Device Discovery Method for Fast Connection in Wi-Fi Direct

Wi-Fi Direct standard technology has been widely deployed on the recently manufactured products such as smart phone, smart monitor, TV, set-top box, and gaming console, and it was published from Wi-Fi Alliance with the name of Wi-Fi Peer-to-Peer Technical Specifications (v1.4, 2014) for direct connection on the wireless communication environment. However, the connection process of this standard needs 5 to 10 seconds so it can lead to user`s inconvenience as well as long delay for connection. From the focus of that this problem was derived from long discovery process composed of Scan and Find, as a result, the proposed scheme on this paper modified and adapted Scan and Find processes with reassembling steps of them for reducing the connection delay. In addition, the analysis and experiments were progressed for the evaluations of the proposed scheme.