Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of observing dolphin population method using Small Vertical Take-off and Landing (VTOL) Unmanned Aerial System (AUV)

Indonesia has a very high diversity of Cetacean, observation with good accuracy and precision must be a priority in every observation. Several methods have been developed to help calculate the marine mammal population, one of them by using Vertical Take-off and Landing (VTOL) Unmanned Aerial System (UAS). VTOL UAS is flown at a certain height to capture photos that contain the number of individuals in a pod, while also mapping the movements and recording their behaviors. The aim of this study was to determine the ideal angle to capture the photos. Several observation angles, 30°, 60°, and 90° were tested Observations were conducted in three sites in Indonesia (Sepa Island, Thousand Islands, Kepulauan Seribu National Park (TNKS); Liang Beach, Maluku Island; and Nai Island Kei Achipelago). The results showed that the angles greatly affected the number of objects in the photograph. For example, on the Island of Sepa, at the angle 30°, 60°, and 90°, the number of dolphins obtained were 3, 9 and 14, respectively. This study did not find any object rejection during observation with VTOL UAS. This study suggests that higher angle of photograph from VTOL UAS increases the accuracy of the observation of marine mammals.
Multiple sampling PSC‐PWM with hierarchical control architecture for MMC‐DSTATCOM

The modular multilevel converter (MMC) is attractive for medium- and high-power applications because of its high modularity, availability and power quality. In this study, a quadruple sampling phase-shifted-carrier pulse-width modulation (PSC-PWM) strategy based on hierarchical distributed control architecture for MMC in medium-voltage power distribution static synchronous compensator (DSTATCOM) application is presented. Compared to centralised control architecture, the multi-digital signal processors master-slave hierarchical control architecture can enhance the scalability of MMC-DSTATCOM and the sub-module (SM) number can expand without limitation. To take advantage of the proposed hierarchical architecture, the multiple sampling PSC-PWM technique is employed to improve the converter performance. The spectrum of the electromotive force of MMC with quadruple sampling is almost the same as that of natural sampling, which leads to fewer harmonics in reactive and harmonic current compensating. Besides, it also raises the sampling frequency so that the MMC-DSTATCOM can compensate harmonic at the low SM switching frequency. The effectivenesses of the proposed architecture and modulation method are verified by experimental results obtained from a 60 V/2 kVA downscaled prototype.
Reducing internet demand-side gap improves digital inclusion in low-income countries: - analysis that is more comprehensive

Reducing the broadband demand-side gap brings greater improvement in digital inclusion especially in low-income countries compared to developed economies. The demand-side gap between network coverage and penetration is less than 10% in developed countries. However, the digital divide and demand-side gap in low-income countries reach 60% and 30% respectively. From this, we developed the hypothesis: the effective use of existing internet facilities can reduce half of the digital divide in low-income countries. To test this hypothesis using regression analysis, we collected four-year data of 120 economies with 44 factors. The present study findings show that 100 points change in policy and regulation of ICT, energy infrastructure, gender literacy, software piracy rate, demographic dividend, competition in telecom sector, network coverage and quality, digital content, digital skill, and gender income will bring 5.5, 10, 6, -15.8, 12, 12.5, 12, 12.5, 24.4, 13, 15, and 8.5 points change in the internet usage of individuals respectively. Furthermore, 100 points change in this internet usage of the individuals will also bring 51.9 points increase on use of the existing network facilities. This implies that low-income countries can improve their total internet subscription significantly by increasing the internet usage of individuals without having further investment. Therefore, low-income countries can use these findings as input for their digital inclusion policy that shows how to improve the driving factors and internet subscription of their citizens.
Medicare Annual Wellness Visits: A Scoping Review of Current Practice Models and Opportunities for Pharmacists

Objective: To explore the existing practice models and practice opportunities surrounding pharmacist-delivered Medicare Annual Wellness Visits (AWVs), with the goal of improving patient access through advanced pharmacy-based health services. Data Sources: English-language articles published in peer-reviewed journals from January 2011 to March 2018 were reviewed by searching PubMed and Google Scholar databases using permutations of terms such as “pharmacist/pharmacy,” “Medicare,” “Annual Wellness Visit,” “develop/development,” and “implement/implementation. ” Study Selection and Data Extraction: Original articles reporting resources (inputs), processes, and programmatic outcomes (uptake and delivery, interventions made, financial models, satisfaction) of pharmacist-delivered AWV services were retained. Data Synthesis: Eight articles describing 6 unique studies representing current pharmacist-delivered AWV practices were included in the final review. All identified articles used observational study designs and were published in peer-reviewed journals from 2014 to 2017. Five studies utilized staff (in-house) pharmacists working in internal or family medicine clinics via collaborative practice agreements; one study described a model for outsourcing AWV services through a community pharmacy. Pharmacists completed 37 to 300 AWVs and performed both medication- and non-medication-related interventions, with a mean of 3.5 to 5.4 interventions/patient. Quarterly revenue ranged from $3750 to $22 340 (USD), with 40 pharmacist-hours required for initial program development. Implications for Patient Care and Clinical Practice: This scoping review will serve as a guide for pharmacists wishing to implement AWV services in their own practices. Conclusions: There is opportunity for ambulatory/community pharmacists to expand their practices to include AWV services in states that allow collaborative practice agreements. Interprofessional collaboration between physicians and pharmacists can optimize and aid adoption of pharmacist-delivered AWV services.
A Game-Theoretic Multi-Level Energy Demand Management for Smart Buildings

The advent of smart grids offers us the opportunity to better manage the electricity grids. One of the most interesting challenges in the modern grids is the consumer demand management. Indeed, the development in information and communication technologies encourages the development of demand-side management systems. This paper introduces two electricity management mechanisms in a smart buildings’ context. We first use negotiation and multi-leader–follower game techniques to model the interactions between the electricity providers and the buildings’ consumers. Then, we propose a distributed energy demand scheduling approach based on game theory with minimal interactions between consumers to optimize the energy demand cost. This approach aims to reduce the total energy cost and the peak to average consumption ratio, and to maximize the exploitation of renewable energy. We use a multi-agent system to model the system entities. The performance evaluation demonstrates that our distributed approach reduces the total consumption cost as well as each consumer bill.
Hand Gesture Recognition using Blob Detection for Immersive Projection Display System

We developed a vision interface immersive projection system, CAVE in virtual rea using hand gesture recognition with computer vis background image was subtracted from current webcam and we convert the color space of the imag Then we mask skin regions using skin color range t a noise reduction operation. We made blobs fro gestures were recognized using these blobs. Using recognition, we could implement an effective bothering devices for CAVE. Keywords—CAVE, Computer Vision, Ges Virtual Reality
Tracking down global NH3 point sources with wind-adjusted superresolution

Abstract. As a precursor of atmospheric aerosols, ammonia (NH3) is one of the primary gaseous air pollutants. Given its short atmospheric lifetime, ambient NH3 concentrations are dominated by local sources. In a recent study, Van Damme et al. (2018) have highlighted the importance of NH3 point sources, especially those associated with feedlots and industrial ammonia production. Their emissions were shown to be largely underestimated in bottom-up emission inventories. The discovery was made possible thanks to the use of oversampling techniques applied to 9 years of global daily IASI NH3 satellite measurements. Oversampling allows one to increase the spatial resolution of averaged satellite data beyond what the satellites natively offer. Here we apply for the first time superresolution techniques, which are commonplace in many fields that rely on imaging, to measurements of an atmospheric sounder, whose images consist of just single pixels. We demonstrate the principle on synthetic data and on IASI measurements of a surface parameter. Superresolution is a priori less suitable to be applied on measurements of variable atmospheric constituents, in particular those affected by transport. However, by first applying the wind-rotation technique, which was introduced in the study of other primary pollutants, superresolution becomes highly effective in mapping NH3 at a very high spatial resolution. We show that plume transport can be revealed in greater detail than what was previously thought to be possible. Next, using this wind-adjusted superresolution technique, we introduce a new type of NH3 map that allows tracking down point sources more easily than the regular oversampled average. On a subset of known emitters, the source could be located within a median distance of 1.5 km. We subsequently present a new global point-source catalog consisting of more than 500 localized and categorized point sources. Compared to our previous catalog, the number of identified sources more than doubled. In addition, we refined the classification of industries into five categories – fertilizer, coking, soda ash, geothermal and explosives industries – and introduced a new urban category for isolated NH3 hotspots over cities. The latter mainly consists of African megacities, as clear isolation of such urban hotspots is almost never possible elsewhere due to the presence of a diffuse background with higher concentrations. The techniques presented in this paper can most likely be exploited in the study of point sources of other short-lived atmospheric pollutants such as SO2 and NO2.
Formation of the Galilean Satellites: Conditions of Accretion

We examine formation conditions for the Galilean satellites in the context of models of late-stage giant planet accretion and satellite-disk interactions. We first reevaluate the current standard, in which the satellites form from a "minimum mass subnebula" disk, obtained by augmenting the mass of the current satellites to solar abundance and resulting in a disk mass containing about 2% of Jupiter's mass. Conditions in such a massive and gas-rich disk are difficult to reconcile with both the icy compositions of Ganymede and Callisto and the protracted formation time needed to explain Callisto's apparent incomplete differentiation. In addition, we argue that disk torques in such a gas-rich disk would cause large satellites to be lost to inward decay onto the planet. These issues have prevented us from identifying a self-consistent scenario for the formation and survival of the Galilean satellites using the standard model. We then consider an alternative, in which the satellites form in a circumplanetary accretion disk produced during the very end stages of gas accretion onto Jupiter. In this case, an amount of gas and solids of at least ∼0.02 Jovian masses must still be processed through the disk during the satellite formation era, but this amount need not have been present all at once. We find that an accretion disk produced by a slow inflow of gas and solids, e.g., 2 × 10-7 Jovian masses per year, is most consistent with conditions needed to form the Galilean satellites, including disk temperatures low enough for ices and protracted satellite accretion times of ≥105 yr. Such a "gas-starved" disk has an orders-of-magnitude lower gas surface density than the minimum mass subnebula (and for many cases is optically thin). Solids delivered to the disk build up over many disk viscous cycles, resulting in a greatly reduced gas-to-solids ratio during the final stages of satellite accretion. This allows for the survival of Galilean-sized satellites against disk torques over a wide range of plausible conditions.
Understanding the factors influencing road public transport policy implementation in Taiwan

Many studies [1-4] have shown that improving bus-based public transport is a more cost-effective and flexible option compared with rail investment. The Taiwanese National Road Public Transport Plan (NRPTP) was launched in 2010 to increase bus patronage and public transport market share in Taiwan. A qualitative method was adopted to explore the key factors influencing attainment of NRPTP objectives. The key factors include a lack of understanding of NRPTP objectives within implementing agencies, patchy local road public transport proposals, insufficient implementing capacity, insufficient skilled street-level-bureaucrats, lack of Mayoral commitments and resource limitations. In addition, this study draws out some suggestions for the next period (2017-2020) of NRPTP implementation. The suggestions include a method to formulate the policy objectives, NRPTP guidance revision, adjustment of the policy implementation process, better monitoring, providing greater support to the local implementing agencies, raising NRPTP implementation up the list of priorities within local authorities, and relaxing the current limitations on budget spending.
A First Description of the Phenolic Profile of EVOOs from the Maltese Islands Using SPE and HPLC: Pedo-Climatic Conditions Modulate Genetic Factors

Achieving economic sustainability in the olive oil production sector is a challenge. This is particularly so for small scale producers who are faced with pressing, production and marketing costs that relative to overall sales, minimise profits. In this study we aimed to describe the phenolic profile of extra virgin olive oils (EVOOs) derived from the Maltese islands. The polar fractions from EVOOs from nine indigenous (six Bidni and three Malti), one historically acclimatized tree (Bajda), 12 locally-grown but foreign cultivars and 32 foreign EVOOs were extracted using SPE (solid phase extraction), separated using HPLC analysis at 280 nm and 320 nm and identified using mass spectrometry. Application of ANOVA and Tukey post hoc hypothesis testing for analysis of variance on the peak areas identified a significantly higher concentration of p-coumaric acid, tyrosol acetate, DHPEA-EDA and oleocanthal in EVOOs derived from indigenous or historically acclimatized cultivars. Imported but locally grown cultivars showed differences when compared to the same cultivar grown in other countries, confirming that pedo-climatic conditions modulate genetic factors.
Effects of Herbicides on Nitrogen Fixation of Alfalfa (Medicago sativa) and Red Clover (Trifolium pratense)

EPTC (S-ethyl dipropylthiocarbamate), benefin (N-butyl-N-ethyl-α α,α-trifluoro-2,6-dinitro-N-propyl-p-toluidine], butralin[4-(1,1-dimethylethyl)-N-(1-methylpropyl)2,6-dinitrobenzenamine], diclofopmethyl {methyl 2-[4-(2,4-dichlorophenoxy)phenoxy]-propanoate} and 2,4-DB [4-(2,4-dichlorophenoxy)butyric acid] were evaluated in the greenhouse for effects on growth, nodulation, and NH3 production of alfalfa (Medicago sativa L.) and medium red clover (Trifolium pratense L.). Some reduction in nodulation occurred from some rates of the herbicides, but reduction in nodulation was usually associated with reduced plant growth caused by herbicidal injury.
A New Three-Phase Multipoint Clamped 5L-HPFC With Reduced PSD Count and Switch Stress

The tradeoff between advantages and the overall part count of classical multilevel converters are leading to an active interest on introducing a new topology with reduced power semiconductor device (PSD) count. In this paper, a new multipoint clamped three-phase five-level high-power-factor converter (5L-HPFC) is proposed. The converter can be modeled as a diode-clamped converter with omission of clamping diodes. The impact of voltage stress on PSDs with two pulsewidth modulation strategies is studied, and a methodology for reducing switch stress per each leg is presented. Comprehensive comparative analysis is carried out with existing topologies. The minimum value of normalized index makes the proposed topology suitable for medium-voltage and high-power applications. In addition, a new single-band hysteresis current controller (SBHC) is proposed and compared with conventional single-band and multiband current control techniques for ac–dc power conversion applications. Furthermore, the proposed topology with the SBHC is investigated under the following conditions: bidirectional power flow capability, supply unbalance, harmonics elimination, and power factor correction. The validation of a new 5L-HPFC with the proposed controlling scheme is verified with simulation and a downscaled experimental setup.
A Method for the Evaluation of Cooray–Rubinstein Formula Based on Talbot's Method for Numerical Inverse Laplace Transform

The Cooray–Rubinstein formula (C–R formula) has been widely used to calculate the horizontal electric field generated by a lightning return stroke over the lossy ground. To evaluate the time-domain C–R formula by a recursive convolution, an alternative method is proposed in this paper, where the formulation in terms of the “step response” corresponding to the ground surface impedance, denoted as <inline-formula><tex-math notation="LaTeX">$k_{\varepsilon }(t)$</tex-math></inline-formula>, is evaluated by the numerical inverse Laplace transform (NILT). Considering the good performance of Talbot's method for the NILT, Talbot's method is adopted to express <inline-formula><tex-math notation="LaTeX">$k_{\varepsilon }(t)$</tex-math></inline-formula> in terms of a series of exponential functions, which can avoid the tedious piecewise approximation used by the available method and make the recursive convolution easier to program. In addition, some key formulae for the recursive convolution with complex poles and residues are presented in this paper. Numerical examples are provided to validate the proposed method.
Multi-Step Wind Speed Forecasting Based On Ensemble Empirical Mode Decomposition, Long Short Term Memory Network and Error Correction Strategy

It is of great significance for wind power plant to construct an accurate multi-step wind speed prediction model, especially considering its operations and grid integration. By integrating with a data pre-processing measure, a parameter optimization algorithm and error correction strategy, a novel forecasting method for multi-step wind speed in short period is put forward in this article. In the suggested measure, the EEMD (Ensemble Empirical Mode Decomposition) is applied to extract a series of IMFs (intrinsic mode functions) from the initial wind data sequence; the LSTM (Long Short Term Memory) measure is executed as the major forecasting method for each IMF; the GRNN (general regression neural network) is executed as the secondary forecasting method to forecast error sequences for each IMF; and the BSO (Brain Storm Optimization) is employed to optimize the parameter for GRNN during the training process. To verify the validity of the suggested EEMD-LSTM-GRNN-BSO model, eight models were applied on three different wind speed sequences. The calculation outcomes reveal that: (1) the EEMD is able to boost the wind speed prediction capacity and robustness of the LSTM approach effectively; (2) the BSO based parameter optimization method is effective in finding the optimal parameter for GRNN and improving the forecasting performance for the EEMD-LSTM-GRNN model; (3) the error correction method based on the optimized GRNN promotes the forecasting accuracy of the EEMD-LSTM model significantly; and (4) compared with all models involved, the proposed EEMD-LSTM-GRNN-BSO model is proved to have the best performance in predicting the short-term wind speed sequence.
Wilson loops and integrability

These notes provide an introduction toward Wilson loops in supersymmetric Yang–Mills theory with a focus toward their integrability properties. In addition to a brief discussion of exact results for the circular Wilson loop and the cusp anomalous dimension, the notes focus on non-local symmetries, utilizing the integrability of the minimal surface problem that appears at strong coupling.
La- and Mn-Codoped Bismuth Ferrite/Ti3C2 MXene Composites for Efficient Photocatalytic Degradation of Congo Red Dye

Over the years, scarcity of fresh potable water has increased the demand for clean water. Meanwhile, with the advent of nanotechnology, the use of nanomaterials for photocatalytic degradation of pollutants in wastewaters has increased. Herein, a new type of nanohybrids of La- and Mn-codoped bismuth ferrite (BFO) nanoparticles embedded into transition-metal carbide sheets (MXene–Ti3C2) were prepared by a low-cost double-solvent sol–gel method and investigated for their catalytic activity in dark and photoinduced conditions. The photoluminescence results showed that pure BFO has the highest electron hole recombination rate as compared to all the codoped BFO/Ti3C2 nanohybrids. The higher electron–hole pair generation rate of the nanohybrids provides a suitable environment for fast degradation of organic dye molecules. The band gap of the prepared nanohybrid was tuned to 1.73 eV. Moreover, the BLFO/Ti3C2 and BLFMO-5/Ti3C2 degraded 92 and 93% of the organic pollutant, respectively, from water in dark and remaining in the light spectrum. Therefore, these synthesized nanohybrids could be a promising candidate for catalytic and photocatalytic applications in future.
Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Epilepsy is an important public health issue. An appropriate epileptiform discharge pattern detection of this neurological disease is a typical problem in biomedical engineering. In this paper, a new method is proposed for spike-and-wave discharge pattern detection based on Kendall's Tau-b coefficient. The proposed approach is demonstrated on a real dataset containing spike-and-wave discharge signals, where our performance is evaluated in terms of high Specificity, rule in (SpPIn) with 94% for patient-specific spike-and-wave discharge detection and 83% for a general spike-and-wave discharge detection.
How do housing cycles influence listed firms’ R&D investment: evidence from the collateral channel

ABSTRACT Firm innovation is essential to long-run economic growth. Financially constrained R&D firms may use firm-owned properties as collateral to finance their R&D projects. Therefore, the housing price cycle can affect firms’ R&D investment through influencing their real estate value. By examining listed R&D firms during the housing boom period 2002–2006 in the U.S., we find that a $1 increase in real estate value leads a firm to increase its R&D investment by $0.38. We also find that this collateral effect is more pronounced among financially constrained R&D firms than that among unconstrained ones. Additionally, we examine the housing bust period 2008–2012, and find that real estate depreciation retarded R&D investment, especially among constrained R&D firms.