Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on influencing factors of LED frequency response

In LED-based visible light communication, the choice of light source device is an important issue. In this paper, the frequency response (FR) of different types of blue LEDs and phosphors is measured. On the basis of that, this paper proposes the FR model of phosphor and supplements the FR model of blue LED. And also, a method is proposed to calculate the FR of phosphor coated LEDs using FR of blue LED and that of phosphor. On this basis, this paper analyses the influencing factors of the FR of blue LED and FR of phosphor respectively. It provides guidance for not only selecting the light source device but also selecting and blending phosphor in visible light communication based on LED.
Expansion and Differentiation Signal to CD8 T Cells to Stimulate Clonal Cutting Edge: Type I IFNs Provide a Third

In this study, we show that IFN- (cid:1)(cid:2) can have a direct role in linking innate and adaptive responses by providing the “third signal” needed by naive CD8 T cells responding to Ag and costimulatory ligands. Stimulation of CD8 T cells in the absence of a third signal leads to proliferation, but clonal expansion is limited by poor survival and effector functions do not develop. We show that IFN- (cid:1)(cid:2) can provide the third signal directly to CD8 T cells via a STAT4-dependent pathway to stimulate survival, development of cytolytic function, and production of IFN- (cid:3) . Provision of the third signal by either IFN- (cid:1)(cid:2) or IL-12 results in regulation of the expression of a number of genes, including several that encode proteins critical for effector function. The Journal of Immunology, 2005, 174: 4465–4469. these effects remain poorly defined, appreciation
Behaviour of Passengers by E-Hailing Services and Public Transportation in Malaysia

Shared mobility is one of the unavoidable impacts of the Industrial Revolution 4.0. This mode of travel is rapidly spreading among the local road users. However, there is lack of study on the actual perception of share mobility concept in Malaysia. This study will analyze the actual opinion and perception of Malaysia people particularly the users of shared mobility services. This study aims to investigate the factors that influence the passengers towards the use of e-hailing services. The independent variables of this research are relative advantage, ease of use, trialability, social influence and safety of using ehailing application. A survey was conducted among e-hailing users in Malaysia. With the use of a survey questionnaire, 271 targeted respondents provided valuable feedbacks. The survey consisted of two parts; the first part contained general questions about gender, age, ethnic, employment, state and preferred types of transportation between e-hailing and taxi. The second part was the major part of the questionnaire which consisted of relative advantage of e-hailing services, ease of using e-hailing services, trialability of e-hailing application, social influence and safety provided by e-hailing services. Therefore, the questionnaire was constructed according to those significant factors. The correlation analysis was used to identify the relationship between independent variables and dependent variable. From the results obtained, the linear regression showed that the relative advantage, ease of use, trialability, social influence and safety indicated a positive significant relationship with the factor that influences the passengers. Among the variables studied, the ease of use showed the most significant factor that influences the passengers to choose e-hailing services in Malaysia with Cronbach’s Alpha of 0.874. In conclusion, this study shows some important information and provides benefits particularly to e-hailing services company to be more competitive in this industry by understanding the needs and concerns of passengers when they adopt the e-hailing services. Keyword: E-Hailing, public transportation, shared mobility
The role of intestinal microbiota and its metabolites in intestinal and extraintestinal organ injury induced by intestinal ischemia reperfusion injury

Intestinal ischemia/reperfusion (I/R) is a common pathophysiological process in clinical severe patients, and the effect of intestinal I/R injury on the patient's systemic pathophysiological state is far greater than that of primary intestinal injury. In recent years, more and more evidence has shown that intestinal microbiota and its metabolites play an important role in the occurrence, development, diagnosis and treatment of intestinal I/R injury. Intestinal microbiota is regulated by host genes, immune response, diet, drugs and other factors. The metabolism and immune potential of intestinal microbiota determine its important significance in host health and diseases. Therefore, targeting the intestinal microbiota and its metabolites may be an effective therapy for the treatment of intestinal I/R injury and intestinal I/R-induced extraintestinal organ injury. This review focuses on the role of intestinal microbiota and its metabolites in intestinal I/R injury and intestinal I/R-induced extraintestinal organ injury, and summarizes the latest progress in regulating intestinal microbiota to treat intestinal I/R injury and intestinal I/R-induced extraintestinal organ injury.
A SCREENING METHOD FOR FROST TOLERANCE OF POTATO

Field-grown tuber-bearing potatoes were screened for frost tolerance in a late stage of development. Three different clones of Soiamwu tuberosum L and two interspecific crosses between clones of S. tberosum and the wild potato species & deumissum LindL were studied. Two different methods were used. (a) Temperature-induced fluorescence changes of intact leaves were measured in freeze-thaw cycles between 20°C and -10°C. The variable fluorescence pattern was characterized in relation to frost tolerance. (b) Controled freezings of plants in a climate chamber with successively increased low temperature stress, of 1 to 2 hours duration during the dark period. Freezing damages were classified visualy. The short-term frost during the fluorescence measurement was compared with the long-term frost treatments in the climate chamber. The results of the two were identical to ranking of the different clones for frost tolerance. The temperature-induced fluorescence changes also monitored progressive damages to the chloroplast membranes when plants were exposed to successively lower temperatures in a controled climate chamber freezing test. It was deduced from the fluorescence measurements that the freezing injury of potato occurs on the water splitting side of photosystem
Bibliometric Survey on Supply Chain in Healthcare using Artificial Intelligence

With the increasing demand for the supply chain in the service sector, new techniques have become essential. With the latest emerging technologies, it has become crucial to have a bibliometric analysis of supply chain management (SCM) in the healthcare sector. The paper represents the analysis of research supply chain in the service sector using artificial intelligence techniques. The main aim of the analysis is to accomplish the technology in healthcare supply chain management using SCOPUS, Google Scholar, Research Gate, etc. and the various softwares like Gephi, GSP Visualizer, etc. The bibliometric analysis shows that India has ranked 4th in publishing documents on healthcare supply chain and artificial intelligence after the US, China and the UK. The prominent keywords used are supply chain management and the healthcare sector. Artificial Intelligence is another vital keyword for this study, which applies to all domains.
Application of TOPSIS Method to Green Supplier Selection for a Thai OTOP Producer

In recent years, the level of consciousness and awareness of environmental problems is increasingly concerned by society, businesses and governments globally. In order to decrease hazardous environment effects, a number of organizations have been forced to improve and diminish the harmful impact of business activities in terms of production, consumption and purchasing behavior which may affect the environment. Despite environmental concern, several consumers are also willing to pay more for environmental benefits. Supplier selection is one of the most crucial parts in the decision-making process by which the companies classify, assess and select the suppliers of their required raw materials. The appropriate supplier selection will lead to environmental performance which affect the quality of final product. Thus, this paper presents an approach for evaluating and ranking suppliers with respect to traditional and environmental criteria. Such problem is regarded as multi-criteria decision making (MCMD) in nature that both qualitative and quantitative criteria have to be considered. In this study, TOPSIS method was applied to rank the green suppliers. An illustrate example in herbal cosmetics and personal care products from a Thai OTOP producer, is conducted to demonstrate how to select the most suitable supplier. A set of criteria were identified from literature review and then confirmed by the case company. The decision was made on the basis of observation of three suppliers with ten criteria. The proposed model helps the case company in finding the suitable supplier according to the operating conditions and market performance of those potential suppliers. The findings of this study could contribute a noteworthy tool to help a small enterprise in the supplier evaluation more precisely and reduce the subjective bias to some extent.
CALL FOR PAPERS Novel Therapeutics in Renal Diseases A PTBA small molecule enhances recovery and reduces postinjury fibrosis after aristolochic acid-induced kidney injury

Tatiana Novitskaya, Lee McDermott, Ke Xin Zhang, Takuto Chiba, Paisit Paueksakon, Neil A. Hukriede, and Mark P. de Caestecker Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Cell and Developmental Biology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania; and Department of Developmental Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
VARIOUS TECHNIQUES FOR FRUIT DISEASES AND DETECTION

— Fruit and vegetable techniques is the major applications that can be used in the market to automatically detect the types of the fruit or vegetable purchased by the customer and to generate costs for it. We surveyed the approaches used for fruit disease detection, segmentation and classification of the images. We also compared state-of-the-art methods in this paper in two parts fruit and vegetable classification and fruit disease classification. In this paper number of techniques has been explained the from the year 2006 to 2016, almost every technique has been included.all the methods are explained briefly including their advantages and disadvantages.The methods in this paper are able to difference between different kind of fruits and its diseases which are very color,accuracyand texture.With the help of table which includes authors name,techniques,algorithms and challenges .
Autonomous Intelligent Charging/Discharging of Electric Vehicles using Distributed Multi-Agent ADMM Framework for Grid Ancillary Services

The increasing popularity of Electric Vehicles (EVs) in the distribution grid along with technological advancement in EV electronics such as vehicle to grid (V2G) technique has enabled them to participate in grid ancillary services. To achieve this, the EVs need to establish a contract with third-party aggregators and connect to a charging unit, either residential or commercial. At any time they are connected, the EVs can decide to take part in the ancillary services program oﬀered to them by the aggregators. If agreed, the aggregators will use the EVs as a power source capable of charging/discharging power according to the input signal, and in return, they will be compensated. This inter-temporal nature of charging/discharging is also transforming the traditional optimal power ﬂow (OPF) problem into a dynamic OPF problem. This chapter aims at developing a multi-layer time-dependent optimization algorithm to utilize EV potential and provide ancillary services while maximizing its utilization function. Speciﬁcally, in the upper layer, an autonomous distributed ADMM algorithm is developed to optimize the cost for charging/discharging EVs while using them to regulate the voltage at each bus in the distribution grid. The distributed ADMM algorithm is also expanded to the lower layer where the individual EVs active and reactive power is controlled for voltage regulation while maintaining the desired state of the charge of the vehicle at the end of the charging period. The eﬀectiveness and performance improvement of the proposed multi-layer al-gorithm is illustrated through analytical analysis and simulation results.
Ludorative Acts: Questioning the Existence of Performative Acts in Video Games

This paper aims at questioning the existence of performative acts in video games and proposing the presence of acts, for the purpose of this paper, called ludorative acts. To prove that ludorative acts are existent, the award-winning and commercially successful Konami’s Metal Gear Solid franchises are analyzed. The analyzed titles are Metal Gear Solid, Metal Gear Solid 2: Sons of Liberty, Metal Gear Solid 3: Snake Eater, and Metal Gear Solid 4: Guns of the Patriot. The findings reveal that ludorative acts have four characteristics distinguishing the acts from performative acts. They are mechanistic-narrative, configurative, spatial-multimodal, and HCI (Human Computer Interaction)-Infovis (Information Visualization) bound. The emergence of these four characteristics from which ludorative acts are constructed roots from the fact that ludology, the science of play, and narratology, the study of narratives, are the primary substances of video games. The two substances are linguistically embodied through the appearance of two different language uses in video games. They are instruction based expressions, derived from the ludology of the video games, and narration based, rooted from the narratology of the video games.
Dual-Channel CNN-BiGRU Sentiment Analysis Method Based on Part of Speech

: For less research on lexical to emotional tendency in sentiment analysis, traditional CNN model sentiment classification method will have classification inaccuracy problem, this paper proposes a dual-channel CNN-BiGRU sentiment analysis method research method based on part of speech, can use rules to extract the corresponding lexical text combined with the original text to construct a dual-channel input to the neural network, the CNN can extract local semantic features, the Bi-GRU is used to extract global features containing context, which are fused with local features to complement them, and finally the fused features are input to the classifier for sentiment tendency determination. The experimental results on Chinese dataset show that the proposed-to-model approach in this paper has improved in accuracy, recall, and F-value compared to traditional neural networks.
Drought and Migration during the Great Depression

Little is known about America’s worst drought outside of the area known as the Dust Bowl. I create a new dataset of county-level migration, drought, and Depression severity to study the impact of drought with an emphasis on migration. I find that the drought influenced county-level in and out-migration especially during and after 1934, which was the worst drought year in the last millennium. Counties that suffered extreme drought in 1934 witnessed an 8.1 percentage point decline in population (from 1930 to 1935) compared to non-drought counties within the same state. Net population declines related to drought continued through the late 1930s. These results contribute to our understanding of what circumstances lead to mass environmental migration.
STREAM ANALYTICS OF TRENDING MOVIES BASED ON SENTIMENT ANALYSIS

-Online user produced content analysis is getting awareness with its extensive applications from both intellectual researchers and business. Sentiment analysis is widely applied to twitter on different reviews on online and social media. In our work, we address movie reviews. The large numbers of data samples are produce via twitter reviews. In this work we intend classified mining algorithms of machine learning for practical aspect-sentiment match ups from subjective on movie reviews by utilizing the online movie streaming reviews. These reviews are classifying and applying machine learning algorithms to attain maximum accuracy. For evaluation purpose we use azure stream analytics to classifying the movie review tweets based on trending movie sentiment analysis.
DESIGN OF RECONFIGURABLE SLOT ANTENNA USING VARACTOR DIODE AT FREQUENCY 4.5GHZ

In this Research Paper, reconfigurable slot antenna for LTE (2.6GHz), AMT-fixed service (4.5GHz), and WLAN (5.4GHz) applications is displayed. There are two L-shaped slots and a U-shaped slot placed in the ground plane. The size of the antenna is short down as a result of these slots. There are three varactor diodes placed in these slots. This is done for the intention of frequency, directivity, and polarization reconfiguration. The directivities and polarization conditions of the antenna are changed at various frequencies i.e. at 2.6GHz, 5.4GHz, and at 4.5 GHz. These three various types of frequencies correspond to different states of the antenna. The states of the antenna are swapped by redirecting the varactor diodes on and off. The varactor diodes are used in this paper as they have the characteristic of fast frequency tuning.
Quantifying the Reliability and effectiveness of Early Warning Systems for Natural Hazards

Early warning systems (EWS) are undergoing a rapid technical development and are increasingly applied to mitigate losses due to natural hazards. To make EWS comparable to alternative mitigation measures such as nets, a novel framework approach for the quantification is developed. The framework approach is based on a generic classification for EWS enabling their structured analyses and includes three main parts to quantify the effectiveness from the reliability of the EWS.
REVIEW ON FLEXIBLE AC TRANSMISSION SYSTEM COMPONENTS IN THE DEREGULATED POWER SYSTEM

In deregulated power system, the flexible alternating current transmission system (FACTS) devices plays an important role for improving transmission system reliability, management, dynamic control of real and reactive power at significant buses and quality of power supply for sensitive industry. Many researchers have been developing innovative practices and procedures for effective implementation of FACTS components, but still plethora of nations are unable to use all FACTS devices such as static synchronous series compensator (SSSC), unified power flow controller (UPFC), static compensator (STATCOM, Static VAR Compensator (SVC), thyristor controlled Series Reactor (TCSR) and thyristor-controlled series capacitor(TCSC) due to their economical constrains and control issues in the online environment. This paper thoroughly reviews the impacts of different FACTS components on different issues of power system issues like stability, quality, control, load flow, power oscillation damping, avoidance of outage, reliability indices and so on. In particular this paper also includes the overview of FACT devices and its classification in different ways, different observations and identified the research gap to investigate further for effective utilization of FACTS devices in the modern power systems across the world. Keywords—FACTS, SSSC, SVC , STATCOM, TCSC,
DC offset minimisation of three-phase multilevel inverter configuration under fault and DC link voltage unbalance conditions

In recent days, multilevel inverters are quite popular in the photovoltaic system to improve the power quality. One of the popular multilevel inverters for medium power applications is neutral point clamping inverter. However, with the limited number of switching combinations, energy balancing and fault-tolerant operation is a major issue. The absence of energy balance mechanism may lead to unequal charge and discharge patterns in the batteries used in off-grid applications, which in turn results in the un-equal voltage at the batteries terminals. The difference in voltage between the sources can introduce the DC voltage offset at AC output, which causes serious problems when fed to the transformers or inductive loads like the induction motor. To address this problem, a five-level inverter is proposed which is capable of energy balancing between the two DC sources, minimising the DC voltage offset and able to operate in some fault-tolerant conditions. At the same time, this topology uses less number of switches as compared to conventional three-phase five-level inverters. The proposed topology is developed by combining conventional two-level and three-level inverters. The topology is verified by simulation using Matlab Simulink and tested on a laboratory prototype. The control algorithm for prototype is implemented with the help of Xilinx SPARTAN-6 (XC6SLX9) FPGA board.
Image Mosaicing for UAV-based Pushbroom Hyperspectral Imaging

ABSTRACT: Hyperspectral imaging has many applications in agricultural and environmental remote sensing. There are many metrics that can be derived from spectral data such as vegetation indices which can detect the presence of stress and disease. A push-broom imaging system captures via line-scanning, and is capable of a higher spectral resolution than a snapshot camera which can only operate on limited spectral band counts. Combining this with the low-cost and flexible deployment of unmanned aerial vehicles (UAV) can yield on-demand data of high spatial and spectral resolution. The challenge lies in mosaicing the push-broom images. Since each image line-scan has only one spatial axis, using area and feature based image mosaicing algorithms is ineffective. We designed a push-broom hyperspectral imaging system from commercial-off-the-shelf (COTS) components intended for UAV flight captures. This paper details the image mosaicing approach that utilizes the data from Global Positioning System (GPS) and inertial measurement unit (IMU) sensors. The algorithm is homography-based and uses the position and attitude of the UAV and camera to compute the relative positions of the target and image planes, and projects the line-scans in a single mosaic. Test flights were performed using a DJI Matrice 600 Pro to determine the accuracy of the mosaics in preserving known measurements and features.
HSOA Journal of Gerontology & Geriatric Medicine Anaemia in the Older Person

Anaemia is a common entity and a marker of morbidity and mor- tality in the older person (defined as 65 years and older). For the older person, anaemia of inflammation and chronic disease is by far more prevalent than iron deficiency. Differentiation between the two remains a challenge despite emergence of newer biochemical tests as the aetiology of anaemia is often multifactorial. Dose regimen for iron replacement therapy is changing to help promote absorption and reduction in side effects from oral iron. Intravenous iron is utilised for non-oral responders, in mixed anaemia such as inflammato ry