Miracle-dz/UniFAR-FTUs huggingface dataset:
THE FIVE SHU-POINTS

1. Literally: Jing = Well; Ying = Spring or Pool; Shu = to transport; Jing (same Jing as channel) = to pass through; He = to unite. The five Shu-Points, namely the Jing-Well, Ying-Spring, Shu-Stream, Jing-River and He-Sea points1, are an important grouping of acupuncture points of the twelve principal channels. All are located distal to, or at, the elbow and knee joints, and since the Qi flowing in these portions of the channels is passing through a particularly high rate of change in dynamic quality, the five ShuPoints play an important role in the formation of many acupuncture prescriptions. Also located on the portion of the channels distal to the elbows and knees are the XiCleft points, the Luo-Connecting points and the YuanSource points. On the Yin channels only, the YuanSource points are the same as the Shu-Stream points. Each of the five Shu-Points corresponds to one of the 5 phases (see Tables above). Historically, the naming of these points first appeared in the Spiritual Axis (Chapter: 'The Nine Needles and 12 Yuan'): Each of the five zang have five Shu, so in all there are twenty-five Shu. Each of the six Fu have six Shu, so in all there are thirty-six Shu. There are twelve main channels and fifteen Luo channels a total of twentyseven channels of Qi running up and down the body. There are many criteria that help determine the actions and indications of the acupuncture points. These include: i. The channel a point is located on (e.g. points of the Liver channel treat Liver disharmony). ii. Its related channels (e.g. points of Pericardium Jueyin channel may treat disorders of the Liver Jueyin channel; points of the Large Intestine channel may treat Lung disorders). iii. Its location on the body (e.g. all points on the chest have some effect on chest disorders). iv. Its status, for example as a Shu-Point, Xi-Cleft point, Back-Shu or Front-Mu point, Luo-Connecting, YuanSource or Hui point, Confluent Point of the 8 extraordinary channels or crossing point of more than one channel. v. Its associated Phase or Element. v. Empirical observations that have been collected on its actions. This article confines itself to discussing the classical theories concerning the five Shu-Points, and compares these theories with the indications of the points that have accumulated over the centuries in a number of classical clinical manuals. By trying to understand this sometimes difficult theory, we can improve our knowledge and understanding of the extraordinary phenomena that are the acupuncture points. FIVE SHU-POINTS
Implementation method for Wireless Signal Transfer Using Wincc and Smart Server in SCADA system

The Utilization of SCADA with PLC system has gained wide interest by several researchers. Currently, in the field of workstation and factories, which require performing the remote access connection or in the situation that regular access cannot be performed. The aim of such accessing is to perform data transfer between different equipment and stations. As a result, this paper presents and demonstrate the methodologies for handling the wireless based signal transfer for SCADA based application. Such configuration would be carried out based on the use of Wincc software and by using and creating a smart server for handling the issue of connecting HMI screen with SCADA component. The steps for performing the basic configuration has been clarified in detail in this work.
Aplicaciones practicas de los sistemas multi-UAV y enjambres aéreos

A día de hoy, existen en el mercado una gran cantidad de aeronaves sin piloto que pueden ser comandadas con ordenes de alto nivel para realizar tareas complejas de forma casi automatica, como por ejemplo el mapeo de explotaciones agrícolas. De forma natural, nos podemos preguntar si sería posible coordinar a un grupo de estos robots para realizar esas mismas tareas de forma más rápida, flexible y robusta. En este trabajo se repasan las tareas que se han planteado resolver con sistemas compuestos por grupos de aeronaves no tripuladas y los algoritmos empleados, así como los metodos y estrategias en los que están basados. Aunque el futuro de estos sistemas es prometedor, existen ciertos obstaculos legislativos y técnicos que frenan su implantación de forma generalizada.
Measuring Barriers to Cross-Provincial Trade in the People’s Republic of China

This thesis applies a methodology based on the Novy (2013) ratio of trade barriers to identify variations in barriers to cross-provincial trade in the People’s Republic of China, econometrically tests for determinants of such variations, and together with the results of a field study determines the state of the current trade environment. Results of this study show the presence of such barriers to trade, and that those barriers have been varying over time as well as across provinces. Econometric testing shows that barriers to cross-provincial trade are highly dependent on transport infrastructure, international trade protection and industrialization. The field study contrasts both the results from the initial analysis and the econometric analysis. Implications and possible factors of this discrepancy are also discussed.
Characterization of gene expression profiles in developing kernels of maize ( Zea mays ) inbred

Maize inbred Tex6 is resistant to several pests. The objectives of this study were to characterize gene expression profiles in Tex6 kernels and identify unique genes that expressed upor down-ward in developing kernels in the later stages. Because of the resistance of Tex6 kernels, we reasoned that it would be an interesting candidate for microarray study. By using maize microarray, we analysed gene expression profiles in developing kernels from 25 DAP (days after pollination) to 45 DAP. A total of 8497 positive array spots were detected with unique IDs, in which 4247 genes were detected in all samples. The trends of total expressed genes were decreasing when kernels were maturing. Expression patterns of some genes in several metabolic pathways, including starch, lipid and storage proteins, were analysed. In comparison with 25 DAP, expressions of 211 gene features were significantly different at 45 DAP (P < 0.05), which will be used to produce a macroarray for germplasm assessment and evaluation. The real-time qRT-PCR was used to validate microarray study.
Modeling of Negative Capacitance of Ferroelectric Capacitors as a Non-Quasi Static Effect

Pulse-based studies of ferroelectric capacitor systems have been used by several groups to experimentally probe the mechanisms of apparent negative capacitance. In this paper, the behavior of such systems is modeled through SPICE simulation with a delayed-response Preisach model, and the results are compared to available data. It is found that a simple ferroelectric domain delay model can explain much of the observed behavior, capturing the qualitatively different effects of bipolar and unipolar switching, as well as the voltage dependence of said switching. The observed behavior and its modeling suggests that the observed negative capacitance is in fact associated with ferroelectric switching, and its presence is highly sensitive to the switching frequency and other details of the ferroelectric system.
Mathematical modeling of time fractional reaction – diffusion systems

We study a fractional reaction–diffusion system with two types of variables: activator and inhibitor. The interactions between components are modeled by cubical nonlinearity. Linearization of the system around the homogeneous state provides information about the stability of the solutions which is quite different from linear stability analysis of the regular system with integer derivatives. It is shown that by combining the fractional derivatives index with the ratio of characteristic times, it is possible to find the marginal value of the index where the oscillatory instability arises. The increase of the value of fractional derivative index leads to the time periodic solutions. The domains of existing periodic solutions for different parameters of the problem are obtained. A computer simulation of the corresponding nonlinear fractional ordinary differential equations is presented. For the fractional reaction–diffusion systems it is established that there exists a set of stable spatio-temporal structures of the one-dimensional system under the Neumann and periodic boundary conditions. The characteristic features of these solutions consist of the transformation of the steady-state dissipative structures to homogeneous oscillations or space temporary structures at a certain value of fractional index and the ratio of characteristic times of system. © 2007 Elsevier B.V. All rights reserved.
Policy-making power of opposition players: a comparative institutional perspective

ABSTRACT The organisation of legislative chambers and the consequences of parliamentary procedures have been among the most prominent research questions in legislative studies. Even though democratic elections not only lead to the formation of a government but also result in an opposition, the literature has mostly neglected oppositions and their role in legislative chambers. This paper proposes to fill this gap by looking at the legislative organisation from the perspective of opposition players. The paper focuses on the potential influence of opposition players in the policy-making process and presents data on more than 50 legislative chambers. The paper shows considerable variance of the formal power granted to opposition players. Furthermore, the degree of institutionalisation of opposition rights is connected to electoral systems and not necessarily correlated with other institutional characteristics such as regime type or the size of legislative chambers.
n o 04 / 05 New-Keynesian Macroeconomics and the Term Structure

This article complements the structural New-Keynesian macro framework with a no-arbitrage affine term structure model. Whereas our methodology is general, we focus on an extended macro-model with an unobservable time varying inflation target and the natural rate of output which are filtered from macro and term structure data. We obtain large and significant estimates of the Phillips curve and real interest rate response parameters. Our model also delivers strong contemporaneous responses of the entire term structure to various macroeconomic shocks. The inflation target dominates the variation in the “level factor” whereas the monetary policy shocks dominate the variation in the “slope and curvature factors”. Geert Bekaert Senghoon Cho Antonio Moreno Columbia Business School Korea Development Depto. de Economía Columbia University Institute Universidad de Navarra 10027 NY, New York P.O. Box 113, Seoul 31009 Pamplona EE.UU KOREA SPAIN gb241@columbia.edu shcho@kdi.re. kr antmoreno@unav.es
Reproductive biology No evidence for the presence of oogonia in the human ovary after their final clearance during the first two years of life

A.G. Byskov1,*, P.E. Høyer2†, C. Yding Andersen1, S.G. Kristensen1, A. Jespersen3, and K. Møllgård2 Laboratory of Reproductive Biology, Section 5712, University Hospital of Copenhagen, Rigshospitalet, Section 5712, Blegdamsvej 9, DK-2100 Copenhagen, Denmark Department of Cellular and Molecular Medicine, Developmental Biology Unit, The Panum Institute, Copenhagen, Denmark Laboratory of Zoology, Biological Institute, University of Copenhagen, Copenhagen, Denmark
Overview of Heating Greenhouses with Renewable Energy Sources a Case Study in Crete-Greece

Heating greenhouses results in higher productivity and better quality of the produced crops mainly in Northern climates. Apart of conventional fuels already used for heating them, renewable energy sources are expected to play an important role in the near future. Among them solar energy, geothermal energy and biomass have been used in various greenhouses all over the world. A successful operation of a greenhouse cultivated with flowers during 2012-2014 in Crete-Greece heated with olive kernel wood proves that this solid fuel is a cheap energy source which can cover all the heating needs of the greenhouse lowering at the same time its CO2 emissions due to energy use. Olive kernel wood is an endogenous, renewable and CO2 neutral energy source in areas where olive trees grow. Additional installation of a Photovoltaic system in the greenhouse already heated with solid biomass in Crete will result in zeroing its CO2 emissions due to energy use in it. Since the heat demand in the greenhouse is much higher than the electricity demand, replacement of fossil fuel with a renewable fuel results in significant decrease of CO2 emissions due to energy use.
Sexual Dimorphism Prediction of Darevskia bithynica (Méhely 1909) from Northwestern Anatolia, Turkey by Using Artificial Neural Network

The main aim of the manuscript is to predict the gender of Darevskia bithynica by using a feed-forward back-propagation multilayer artificial neural network (ANN). Nine morphological characters were used as an input parameters of the model. The gender type male or female is the output parameter. The total number of data is 115. In order to train, validate and test the ANN model 70%, 15% and 15% of the total data are randomly selected. The regression coefficient (R) values are evaluated as prediction performance. The network with 20 neurons in the hidden is the optimal structure of the ANN that predict the lizard gender with a high R values as 0.98, 0.97 and 0.96 for training, testing and all data, respectively. The lower mean square error (MSE) values for training and testing data are calculated as 0.0145 and 0.0161, respectively. The obtained results satisfactorily confirm the high ability of the ANNs in predicting the gender of Darevskia bithynica.
Effectiveness of dehydroepiandrosterone in poor ovarian responders undergoing in vitro fertilization : a meta-analysis of randomized controlled trials

This meta-analysis aimed to evaluate whether DHEA could improve the probability of pregnancy in poor ovarian responders undergoing IVF/ICSI cycles. Electronic literature searches were carried out in MEDLINE, Scopus, EMBASE, Cochrane, CNKI, Wanfang, and VIP databases up to April 2016. All randomized controlled trials in which pretreatment with DHEA was compared with placebo or blank control were identified. Standard meta-analytic methodology was used for the combination of results and the exploration of bias. The primary outcome was clinical pregnancy rate, the secondary outcomes were the number of retrieved oocytes, cancellation rate, E2 level on the day of hCG administration, miscarriage rate, and total dose of gonadotropin units. A total of nine studies (1072 cases) met the inclusion criteria. The clinical pregnancy rate (OR: 1.64, 95% CI: 1.20-2.24; P = 0.002), the number of retrieved oocytes (MD 1.27, 95% CI: 0.60-1.94; P = 0.0002) were significantly higher and the cancellation rate (OR 0.54, 95% CI: 0.33-0.87; P = 0.01) was significantly lower in the DHEA group. Miscarriage rate (OR: 0.54, 95% CI: 0.24-1.22; P = 0.14), E2 level on the day of hCG administration (MD: -13.62, 95% CI: -300.33-273.10; P = 0.93), and total dose of gonadotropin (MD -257.40; 95% CI: -696.45-181.66; P = 0.25) did not significantly differ between two groups. Based on the present meta-analysis, pre-IVF DHEA treatment may improve the clinical pregnancy rate, increase the number of retrieved oocytes and lower the cancellation rate. The miscarriage rate, total dose of gonadotropin, and E2 level on the day of hCG administration were not affected.
Multivariate statistical analysis for portfolio selection of italian stock market

The use of bivariate cointegrated vector autoregressive models and Baba-Engle-Kraft-Kroner models ( Engle et al. 1995), is proposed for the selection of a stock portfolio (Markowitz type portfolio) based on estimates of average returns on shares and the volatility of share prices. The model put forward envisages the use of explicative variables. This article employs the intrinsic value of shares as a variable, which will make it possible to take the theory of value into account. The model put forward is applied to a series of data regarding the prices of 150 shares traded on the Italian stock market.
Microstrip Patch Antenna at 28 GHz for 5 G Applications

 Abstract— This paper presents the design and simulation of a microstrip patch antenna operating at 28 GHz for 5G communication. The antenna operates at the Local Multipoint Distribution Service band having a center frequency at 27.91 GHz with a maximum reflection coefficient of –12.59 dB, a very wide bandwidth of 582 MHz and a high gain of 6.69 dB. The transmission line of the antenna used is an inset feed. The substrate used is Rogers RT Duroid 5880 which has a dielectric constant of 2.2 and a height of 0.254 mm. The antenna dimensions were calculated and simulated results have been displayed and analyzed using HFSS.
University of Groningen Exchange Protein Activated by Cyclic AMP 2 ( Epac 2 ) Plays a Specific and Time-Limited Role in Memory Retrieval

Knowledge on the molecular mechanisms involved in memory retrieval is limited due to the lack of tools to study this stage of the memory process. Here we report that exchange proteins activated by cAMP (Epac) play a surprisingly specific role in memory retrieval. Intrahippocampal injection of the Epac activator 8-pCPT-20OMe-cAMP was shown to improve fear memory retrieval in contextual fear conditioning whereas acquisition and consolidation were not affected. The retrieval enhancing effect of the Epac activator was even more prominent in the passive avoidance paradigm. Down-regulation of Epac2 expression in the hippocampal CA1 area impaired fear memory retrieval when the memory test was performed 72 h after training, but not when tested after 17 days. Our data thus identify an important time-limited role for hippocampal Epac2 signaling in cognition and opens new avenues to investigate the molecular mechanisms underlying memory retrieval. VC 2009 Wiley-Liss, Inc.
qSOFA as a predictor of ICU outcomes in a resource-limited setting in KwaZulu-Natal Province, South Africa

Background Sepsis is a major cause of morbidity and mortality, especially in critical care patients. Developing tools to identify patients who are at risk of poor outcomes and prolonged length of stay in intensive care units (ICUs) is critical, particularly in resource-limited settings. Objectives To determine whether the quick sequential organ failure assessment (qSOFA) score based on bedside assessment alone was a promising tool for risk prediction in low-resource settings. Methods A retrospective cohort of adult patients admitted to the intensive care unit (ICU) at Edendale Hospital in Pietermaritzburg, South Africa (SA), was recruited into the study between 2014 and 2018. The association of qSOFA with in-ICU mortality was measured using multivariable logistic regression. Discrimination was assessed using the area under the receiver operating characteristic curve and the additive contribution to a baseline model using likelihood ratio testing. Results The qSOFA scores of 0, 1 and 2 were not associated with increased odds of in-ICU mortality (adjusted odds ratio (aOR) 1.24, 95% confidence interval (CI) 0.86 - 1.79; p=0.26) in patients with infection, while the qSOFA of 3 was associated with in-ICU mortality in infected patients (aOR 2.82; 95% CI 1.91 - 4.16; p<0.001). On the other hand, the qSOFA scores of 2 (aOR 3.25; 95% CI 1.91 - 5.53; p<0.001) and 3 (aOR 6.26, 95% CI 0.38 - 11.62, p<0.001) were associated with increased odds of in-ICU mortality in patients without infection. Discrimination for mortality was fair to poor and adding qSOFA to a baseline model yielded a statistical improvement in both cases (p<0.001). Conclusion qSOFA was associated with, but weakly discriminant, for in-ICU mortality for patients with and without infection in a resource-limited, public hospital in SA. These findings add to the growing body of evidence that support the use of qSOFA to deliver low-cost, high-value critical care in resource-limited settings Contributions of the study This study expanded the data supporting the use of qSOFA in resource-limited settings beyond the emergency department or ward to include patients admitted to the ICU. Additionally, this study demonstrated stronger predictive abilities in a population of patients admitted with trauma without suspected or confirmed infection, thus providing an additional use of qSOFA as a risk-prediction tool for a broader population.
Universal variational quantum computation

Variational quantum algorithms dominate contemporary gate-based quantum enhanced optimisation [1], eigenvalue estimation [2] and machine learning [3]. Here we establish the quantum computational universality of variational quantum computation by developing two objective functions which minimise to prepare states with high 2-norm overlap with the outputs of quantum circuits. The fleeting resource is the number of expected values which must be iteratively minimised using a classical-to-quantum feedback loop. An efficient solution to this optimisation problem is given by considering the quantum circuit being simulated itself. The first construction is efficient in the number of expected values for $n$-qubit circuits containing $\mathcal{O}(\text{poly} \ln n)$ non-Clifford gates$-$the number of expected values has no dependence on Clifford gates appearing in the simulated circuit. The second approach adapts the Feynman-Kitaev clock construction yielding $\mathcal{O}(L^2)$ expected values while introducing not more than $\mathcal{O}(\ln L)$ slack qubits, for a quantum circuit partitioned into $L$ Hermitian blocks (gates). The variational model is hence universal and necessitates (i) state-preparation by a control sequence followed by (ii) measurements in one basis. Resources can be reduced by gradient-free or gradient-based minimisation of a polynomially bounded number of expected values. Partitions of the circuit being simulated seed an iterative classical-to-quantum feedback and optimization process which seeks to reduce coherence time.
Artificial Intelligence Methodologies Applied to Prompt Pluvial Flood Estimation and Prediction

Regarding urban flooding issues, applying Artificial Intelligence (AI) methodologies can provide a timely prediction of imminent incidences of flash floods. The study aims to develop and deploy an effective real-time pluvial flood forecasting AI platform. The platform integrates rainfall hyetographs embedded with uncertainty analyses as well as hydrological and hydraulic modeling. It establishes a large number synthetic of torrential rainfall events and their simulated flooding datasets. The obtained data contain 6000 sets of color-classified rainfall hyetograph maps and 300,000 simulated flooding maps (water depth) in an urban district. The generated datasets are utilized for AI image processing. Through the AI deep learning classifications, the rainfall hyetograph map feature parameters are detected and extracted. The trained features are applied to predict potential rainfall events, recognize their potential inundated water depths as well as display flooding maps in real-time. The performance assessments of the platform are evaluated by Root Means Square Error (RMSE), Nash Sutcliffe Efficiency Coefficient (NSCE) and Mean Absolute Percentage Error (MAPE). The results of RMSE and NSCE indicators illustrate that the methodologies and approaches of the AI platform are reliable and acceptable. However, the values of MAPE show inconsistency. Ultimately, the platform can perform and be utilized promptly in real-time and ensure sufficient lead time in order to prevent possible flooding hazards.