Miracle-dz/UniFAR-FTUs huggingface dataset:
UAV Remote Sensing Image Rural Building Detection Based on Convolutional Neural Network

In order to improve the accuracy of intelligent detection of rural buildings, this paper uses massive remote sensing data of UAV to train convolutional neural network and improves CaffeNet model. Experimental results are as the followings: With reference to the traditional CaffeNet, the improved a-CaffeNet has an accuracy rate of 97.30%. The test time and the training time are shortened by 30.4% and 11.84% respectively. According to the experiments, this method is more suitable for remote sensing image of rural buildings detection.
Role of N-Terminal Pro-brain Natriuretic Peptide in the Early Diagnosis of Neonatal Sepsis

Abstract Objective Sepsis is one of the most significant contributors to mortality and morbidity in the neonatal population. The need to find specific biomarkers that provide meaningful information about the diagnosis of sepsis is still ongoing. This study aimed to investigate the utility of N-terminal pro-brain natriuretic peptide (NT-proBNP) as a diagnostic biomarker in newborn infants with late-onset sepsis. Methods A prospective, observational study was conducted in the neonatal intensive care unit between July 2016 and January 2017. The patients suspected of having late-onset sepsis and meeting the selection criteria were included in the study, and serial measurements of white blood cell count, serum C-reactive protein (CRP), plasma interleukin (IL) 6, and whole blood NT-proBNP levels were performed. Results The study included 87 patients diagnosed with sepsis and 35 control patients. The median NT-proBNP levels were higher in septic patients (58 [22–169] vs. 14 [7–21]; p < 0.001), showing a significant correlation with CRP and IL-6 levels (r = 0.327, p < 0.01 and r = 0.216, p < 0.05, respectively). The optimal diagnostic cutoff value for differentiating sepsis was 27.5 pg/mL. Predictive parameters of NT-proBNP, such as sensitivity (72%) and specificity (86%), were comparable to those of CRP and IL-6 for the early diagnosis of sepsis in neonates. Conclusion Plasma NT-proBNP levels were higher in septic neonates, and the predictive values were comparable to those of CRP and IL-6. However, these values were not high enough to make it a reliable diagnostic biomarker for identifying neonates in the early stages of sepsis.
A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers & Potential Solutions, Business Strategies, and Policies

The number of used batteries is increasing in quantity as time passes by, and this amount is to expand drastically, as electric vehicles are getting increasingly popular. Proper disposal of the spent batteries has always been a concern, but it has also been discovered that these batteries often retain enough energy perfectly suited for other uses, which can extend the batteries’ operational lifetime into a second one. Such use of batteries has been termed as the “second-life,” and it is high time to adopt such usage in large scale to properly exploit the energy and economics that went into battery production and reduce the environmental impacts of battery waste ending up in landfills. This paper aids in that quest by providing a complete picture of the current state of the second-life battery (SLB) technology by reviewing all the prominent work done in this field previously. The second-life background, manufacturing process of energy storage systems using the SLBs, applications, and impacts of this technology, required business strategies and policies, and current barriers of this technology along with potential solutions are discussed in detail in this paper to act as a major stepping stone for future research in this ever-expanding field.
X-ray Pinhole Camera in the Diagnostics Beamlime BL7B at PLS-II

The beam diagnostics beamline BL7B using synchrotron radiation with 8.6 keV critical photon energy from bending magnet has been used to measure the electron-beam size and photon-beam profile on real-time basis. After the completion of the PLS-II, the Compound Refractive Lens (CRL) system was implemented in the optical hutch at BL7B to measure the electron-beam size from X-ray imaging. But we could not have a good image due to short available optical path caused by limited space of the optical hutch. To solve this problem a pinhole camera is implemented in the front-end of BL7B in return for the beamline extension. The progresses on the new x-ray imaging system are introduced in this paper.
Modified Scale Invariant Feature Transform in omnidirectional images

The Scale Invariant Feature Transform, SIFT, is invariant to image translation, scaling, rotation, and is partially invariant to illumination changes. But, the time of features extraction and matching is huge, and the number of features is much larger then that is needed. To reduce the number of features generated by SIFT as well as their extraction and matching time, a modified approach based sampling is proposed. Mean-Shift algorithm is used in this modified SIFT to search local extrema points actively in scale space to improve the efficiency. It is demonstrated that the features extracted by modified SIFT are uniformly distributed in space, the time of feature extraction and matching is reduced obviously and the feature matching is accurate.
Roll of Membership functions in Fuzzy Logic for Prediction of Shoot Length of Mustard Plant Based on Residual Analysis

The selection for plantation of a particular type of mustard plant depending on its productivity (pod yield) at the stage of maturity. The growth of mustard plant dependent on some parameters of that plant, these are shoot length, number of leaves, number of roots and roots length etc. As the plant is growing, some leaves may be fall down and some new leaves may come, so it can not gives the idea to develop the relationship with the seeds weight at mature stage of that plant. It is not possible to find the number of roots and root length of mustard plant at growing stage that will be harmful of this plant as roots goes deeper to deeper inside the land. Only the value of shoot length which increases in course of time can be measured at different time instances. Weather parameters are maximum and minimum humidity, rain fall, maximum and minimum temperature may effect the growth of the plant. The parameters of pollution, water, soil, distance and crop management may be dominant factors of growth of plant and its productivity. Considering all parameters, the growth of the plant is very uncertain, fuzzy environment can be considered for the prediction of shoot length at maturity of the plant. Fuzzification plays a greater role for fuzzification of data, which is based on certain membership functions. Here an effort has been made to fuzzify the original data based on gaussian function, triangular function, s-function, Trapezoidal and L –function. After that all fuzzified data are defuzzified to get normal form. Finally the error analysis (calculation of forecasting error and average error) indicates the membership function appropriate for fuzzification of data and use to predict the shoot length at maturity. The result is also verified using residual (Absolute Residual, Maximum of Absolute Residual, Mean Absolute Residual, Mean of Mean Absolute Residual, Median of Absolute Residual and Standard Deviation) analysis. Keywords—Fuzzification, defuzzification, gaussian function, triangular function, trapezoidal function,s-function, , membership function, residual analysis.
Les plateformes de financement participatif culturel : une normalisation de la participation ?

Cet article analyse les plateformes de financement participatif culturel. Apres avoir defini les contours de ces plateformes, nous montrerons comment celles-ci, loin d’etre des alternatives aux industries culturelles, s’integrent au contraire comme de nouveaux intermediaires dans ce que les acteurs appellent « un ecosysteme creatif » dependant des logiques de marches, des politiques publiques, des partenariats et de l’education visant l’implication des usagers contributeurs/producteurs.
LIPOLYTIC ENZYMES

Pancreas and liver are the chief sources of lipolyt,ic enzymes in the animal body. Pancreas lipase and liver e&erase differ from each other in many regards, and t,he st,udy of their differentiating characteristics is necessary for the uhimate decision as to their identit,y or genetic relationship. An understanding of t,hese differences must be based on the essential contrast, in purpose between the groups of digestive enzymes excreted into the gast,rointestinal tract and the group of intracellular enzymes whose function in metabolism is not, as well recognized at present. The case with which an enzyme can be mobilized, the strength of its bond to t,he cell protoplasm, and its chemical character arc relat,ed to its physiological purpose. The transition of cell-bound desmoenzymes inho soluble lyoenzymes, and the release of cell-confined endoenzymes, profoundly influences their mode of action (Willstiitter, 1933). The mechanism of enzymatic lipolysis depends also on t,he degree of purity of the catalyst; for inst’ance, elimination of concomit,ant, substances by preparative procedures modifies the suscepl,ibility towards inhibiting factors or the pH optimum (Willstgtter, Haurowitz, and Memmen, 1924; Sobotka and Glick, 1934), while the addition of foreign proteins modifies the specificity (Palk, 1932). The authors will show in the following publication, that the pH-activity curves are essentially the same for liver and pancreas but vary with the nature of the buffer, the degree of enzy-
Gatekeeping under Congestion: An Empirical Study of Referral Errors in the Emergency Department

Using data from over 300,000 visits to an emergency department (ED), we study the accuracy of gatekeeping decisions (admission to the hospital or discharge home) and the effectiveness of a second gatekeeping stage (a clinical decision unit (CDU) in our context) at reducing gatekeeping errors. While only 9.9% of patients in our sample are routed through the CDU, we find that had the unit not been in place during the observation period, then the rates of unnecessary hospitalization and wrongful discharge of patients from the ED would have increased by 14.3% and 29.6%, respectively. We find that a key contributor to the success of the two-stage gatekeeping system is admission control, which ensures that only those higher-risk patients who stand to benefit most from being placed into the CDU are referred there. In fact, we estimate that had patients instead been allocated at random to the CDU, then the unit's effectiveness would have reduced by more than half. We also investigate a critical trade-off in operating a two-stage system: resources must be split between the two stages, increasing congestion in the first stage. We demonstrate in our context, though, that the combination of an ED with a CDU performs better than a commensurately enlarged ED without a CDU that pools the capacity of both stages. Together, our results provide insights as to the circumstances under which adding additional stages to a gatekeeping system may be advantageous.
Gender, E-Banking, and Customer Retention

Abstract This research seeks to investigate the role of gender in the relationship between e-banking dimensions and customer retention. A measure of the key constructs was developed based on prior research. A survey approach was adopted to gather the research data. The study is guided by the social script theory. Gender plays different roles in the relationship with e-banking dimensions and customer retention. The study provides critical evidence to support the social script theory, such that gender moderates the relationships between convenience, website design and customer retention. The study aids managers of banks to recognize e-banking components that are not affected by gender and those that are ingrained. This has implications for e-banking segmentation strategies and tactics. Gender issues are important to the local and national economies, and also the global community. The study is focused on a specific industry and thus curtails our understanding in other sectors of the economy.
Adaptive Control of Depth of Anesthesia using a Fractional Order Gradient Based Adaptation Mechanism

In this paper, a model reference adaptive controller (MRAC) with a RST control structure is employed to control the depth of the anesthesia. The polynomial coefficients of the RST controller are adjusted according to a fractional order normalized gradient based adaptation mechanism. The propofol infusion rate and the Bispectral Index (BIS) are considered as the system input and output, respectively. The propofol distribution in the patient model is described with a Pharmacokinetic-Pharmacodynamic (PK-PD) model. The PK-PD model parameters depend on physical specifications of the patient like age, weight, and gender. The proposed MRAC is employed to reach the desired BIS in the presence of disturbance and the measurement noise for different patients. Simulation results demonstrate the effectiveness of the proposed method.
The New Locality Record of Centrolophus niger (Gmelin, 1789), from Büyükeceli Coast (North-Eastern Mediterranean Sea)

Buyukeceli kiyilarinda (Kuzey-Dogu Akdeniz) 400 m derinlikte bir trol teknesi ile disi bir Centrolophus niger (Gmelin, 1789) bireyi avlanmistir. Bu bireyin boyu 51,9 cm bulunmustur. Bu calisma Turkiye’nin Akdeniz ve Ege sahilleri boyunca besinci lokalite kaydi verilmis ve ayni zamanda Turkiye’nin Buyukeceli Akdeniz kiyisindan bu turun ilk kez varligi rapor edilmistir.
Noninvasive Vagus Nerve Stimulation Alters the Neural and Physiological Response to Noxious Thermal Challenge

The mechanisms by which noninvasive vagal nerve stimulation (nVNS) affect central and peripheral neural circuits that subserve pain and autonomic physiology are not clear, and thus remain an area of intense investigation. Effects of nVNS vs sham stimulation on subject responses to five noxious thermal stimuli (applied to left lower extremity), were measured in 30 healthy subjects (n=15 sham and n=15 nVNS), with fMRI and physiological galvanic skin response (GSR). With repeated noxious thermal stimuli a group × time analysis showed a significantly (p < .001) decreased response with nVNS in bilateral primary and secondary somatosensory cortices (SI and SII), left dorsoposterior insular cortex, bilateral paracentral lobule, bilateral medial dorsal thalamus, right anterior cingulate cortex, and right orbitofrontal cortex. A group × time × GSR analysis showed a significantly decreased response in nVNS group (p < .0005) in bilaterally in SI, lower and mid medullary brainstem, and inferior occipital cortex. Finally, nVNS treatment showed decreased activity in pronociceptive brainstem nuclei (e.g. the reticular nucleus and rostral ventromedial medulla) and key autonomic integration nuclei (e.g. the rostroventrolateral medulla, nucleus ambiguous, and dorsal motor nucleus of the vagus nerve). In aggregate, noninvasive vagal nerve stimulation reduced the physiological response to noxious thermal stimuli and impacted neural circuits important for pain processing and autonomic output.
Response of Cotton (Gossypium hirsutum) to Coastal Bermudagrass (Cynodon dactylon) Density in a No-tillage System

Field experiments were established in 1989 and 1990 at the Southern Piedmont Conservation Research Center near Watkinsville, GA, to determine effects of coastal bermudagrass density on cotton in a conservation tillage system. Cotton height, canopy width, leaf area indices, and seed cotton yields were determined at coastal bermudagrass densities of 0 to 3600 kg ha−1 as achieved by herbicide inputs. Soil water measurements were recorded in cotton plots with a range of coastal bermudagrass densities using time domain reflectometry. Cotton growth and yields were reduced by coastal bermudagrass competition both years of the study. At the highest coastal bermudagrass density of 3600 kg ha−1, cotton height was reduced compared to cotton alone as early as 5 wk after planting. Seed cotton yields were reduced 25% at the highest coastal bermudagrass densities both years of the study. At the 15-cm soil depth, coastal bermudagrass significantly reduced soil water in cotton. Soil water in cotton at 30, 45, and 60 cm was not affected by coastal bermudagrass.
Analysis the effect of Changing Height of the Substrate of Square Shaped Microstrip Patch Antenna on the Performance for 5G Application

This paper deals with the design and study of parameters of square shaped microstrip patch antenna suitable for 5G communication systems. It is designed on Rogers RT Duroid 5880, which has a dielectric constant of 2.2. In this study, a micro-strip line fed patch antenna array, operating at a resonant frequency of 10.21GHz which is preferred for 5G applications, is implemented using the Computer Simulation Technology (CST) software. The designed antenna attained a fractional bandwidth of 1.62%, a wide bandwidth of 165 MHz and a reflection coefficient of -14.341dB. The transmission line used for the antenna is an inset feed. In order to design a microstrip patch antenna, the substrate material and its thickness are initially selected. The selection of a proper dielectric material and its thickness is very crucial in designing microstrip patch antenna. This paper also explains how antenna performance changes with the thickness variation of the substrate. The modified antennas can operate around 28 GHz and 10 GHz, the frequency bands recently proposed for 5G applications. The radiation pattern, return loss, 3D gain and VSWR curves are simulated for all designed antennas.
Reliability and Validity of Chinese Adolescent Quality of Life Mental Health Scale (AQOL-MHS)

Objective: To test the reliability and validity of the Chinese version of Adolescent Quality of Life Mental Health Scale (AQOL-MHS). Method: The AQOL-MHS was converted into Chinese and culturally adapted. The internal consistency, test-retest reliability, construct validity, discriminant validity, and criterion validity were used to evaluate the reliability and validity of the Chinese version of AQOL-MHS. Result: The critical ratio method and correlation coefficient method were applied to delete 5 items that did not meet the requirements, and 26 items were retained. Cronbach's α coefficients of the total scale and the three dimensions were all greater than 0.7, and test-retest reliability of the total scale and three dimensions were all greater than 0.8. At the same time, confirmatory factor analysis showed that many indicators such as x/df, GFI, RMSEA, AGFI, CFI, IFI, PNFI, PGFI were well fitted, and the three dimensions of the scale were well correlated with several mature scales currently recognized. The total scores of the AQOL-MHS and scores of each dimension in the school group were significantly lower than those of the psychiatric specialist clinic group, and the differences were statistically significant (P<0.05). Conclusion: The Chinese version of AQOL-MHS has good reliability and validity and can be applied to young people with mental problems in China.
Research on Network Navy Behavior in the Field of Electronic Commerce

With the development of web2.0, people's daily life is highly informationized, and the network navy has sprung up. It relies on huge amounts of garbage information to gain benefits and form a new industry chain. Among them, the identification of the E-commerce network Navy has become a prominent research issue in many network Navy problems. Compared with the normal users, the network navy has obvious differences. Starting from the behavior research of the E-commerce network Navy, analyzing the behavior pattern of the navy can achieve the purpose of identifying the abnormal users.
A Data-Analytics Approach for Enterprise Resilience

Enterprise resilience plays an important role to prevent business services from disruptions caused by human-induced disasters such as failed change implementations and software bugs. Traditional expert-centric approach has difficulty to maintain continued critical business functions because the disasters can often only be handled after their occurrence. This paper introduces a data-analytics approach, which leverages system monitoring data for the enterprise resilience. With the power of data mining and machine learning techniques, we build an intelligent business analytics system to detect the potential disruptions proactively, and to assist the operational team for enterprise resilience enhancement. We demonstrate the effectiveness of our approach on a real enterprise system monitoring dataset in simulation.
On the Accuracy of Binomial Model for the Valuation of Standard Options with Dividend Yield in the Context of Black-Scholes Model

This paper presents the accuracy of binomial model for the valuation of standard options with dividend yield in the context of Black-Scholes model. It is observed that the binomial model gives a better accuracy in pricing the American type option than the Black-Scholes model. This is due to fact that the binomial model considers the possibilities of early exercise and other features like dividend. It is also observed that the binomial model is both computationally efficient and accurate but not adequate to price path dependent options.
Applying user-centred design for smartwatch-based pedestrian navigation system

ABSTRACT The characteristics of a smartwatch impose several challenges regardig the design of a pedestrian navigation aid. This paper illustrates how landmark-based pedestrian navigation systems for smartwatches can be developed, considering the small screen sizes as well as the very limited interaction capacities of these wrist-worn devices. Particularly, by the use of a user-centred design approach, an initial user interface was developed, tested, and refined in two field experiments to create a final user interface. A combination of map view and direction view was proposed, where the map view provides an overview of the environment and route, while the direction view gives clear instructions (turning information) for decision points. The interface was further enhanced by the use of vibrations before decision points. In addition, landmarks were carefully considered and incorporated into both map view and direction view. The field experiments showed that these key features of the revised interface can effectively support pedestrian navigation via smartwatches.
Wide speed range permanent magnet synchronous generator design for a DC power system

A wide speed range permanent magnet synchronous generator (PMSG) system is studied in this paper, including the PMSG design and comparative study on control strategies with a pulse width modulation (PWM) rectifier, the purpose of which is to regulate the DC-link voltage. It is of great importance to study the foregoing DC power system based on the PMSG and PWM rectifier, where vector control (VC) can be implemented and the corresponding field-weakening strategy can be realized by injecting a field-weakening current component without any auxiliary devices. Large machine inductance is desired in order to limit the short-circuit current and the loaded voltage drop. Different control strategies including VC, direct torque control (DTC) and direct voltage control (DVC) are studied and compared with both simulations and experiments.