Miracle-dz/UniFAR-FTUs huggingface dataset:
Floridians’ Engagement in Landscape Best Practices to Protect Water Resources: Information from a 2018 Survey

Extension programs are most effective when informed by a deep understanding of the target audience. To guide programs in Florida’s managed landscapes, especially pertaining to water quality and conservation, faculty from the UF/IFAS Center for Landscape Conservation and Ecology conduct an annual statewide survey. The survey gathers data that includes common landscape elements, neighborhood characteristics, engagement in irrigation and fertilizer best practices, and learning preferences. This new 5-page publication of the UF/IFAS Department of Agricultural Education and Communication presents highlights from the 2018 statewide survey with recommendations for how to use the information. Written by Laura A. Warner, Esen Momol, Claire Lewis, Tom Wichman, Wendy Wilber, and A. J. Reisinger. https://edis.ifas. ufl.edu/wc345
Operator’s State Estimation Based on the Face’s Video Images Analysis Using Deep Convolutional Neural Networks

The paper deals with the problem of operator’s state estimating. For this purpose various approaches based on using deep convolutional neural networks are proposed. The approach using automatic emotion recognition methods is considered in the most detail. During the experiment video records of the operator’s face registered during operator performing the flight task on the flight simulator were processed. To determine the type of operator’s activity the studies based on using the emotional background of the face are also carried out. The experimental results of this approach confirmed the efficiency of the selected methods, especially for monitoring the operator’s state when falling asleep.
MINDFULNESS BASED INTERVENTION FOR MANAGING PROBLEMATIC USAGE OF MOBILE PHONES

group of at-risk late adolescents. A quasi- experimental research design, following a before-after without control paradigm was adopted. A sample of 33 undergraduate female college students between 17-19 years of age (Mage = 18 years) were purposively selected to take part in the study. The Mobile Phone Problematic Usage Questionnaire (MPPUQ)[2] was used. The target group was exposed to a ve hour session on “Mindfulness for problematic phone usage”. Repeated measures t -test was used to determine signicant changes across the scores on the three dimensions of MPPUQ (preoccupation, withdrawal symptoms and overuse of mobile phones). The results revealed signicant difference in MPPUQ scores before and after the intervention with a reduction in scores following the mindfulness based intervention (t (32) = 1.91 p<. 05). It also revealed a signicant decrease in the scores on 'overuse' factor (t (32) = 2.35 p<. 05) and 'Withdrawal' factor of the MPPUQ (t (32) = 1.18, p<. 01).
An Empirical Test of the Role of Small-Scale Transmission in Large-Scale Disease Dynamics

A key assumption of epidemiological models is that population-scale disease spread is driven by close contact between hosts and pathogens. At larger scales, however, mechanisms such as spatial structure in host and pathogen populations and environmental heterogeneity could alter disease spread. The assumption that small-scale transmission mechanisms are sufficient to explain large-scale infection rates, however, is rarely tested. Here, we provide a rigorous test using an insect-baculovirus system. We fit a mathematical model to data from forest-wide epizootics while constraining the model parameters with data from branch-scale experiments, a difference in spatial scale of four orders of magnitude. This experimentally constrained model fits the epizootic data well, supporting the role of small-scale transmission, but variability is high. We then compare this model’s performance to an unconstrained model that ignores the experimental data, which serves as a proxy for models with additional mechanisms. The unconstrained model has a superior fit, revealing a higher transmission rate across forests compared with branch-scale estimates. Our study suggests that small-scale transmission is insufficient to explain baculovirus epizootics. Further research is needed to identify the mechanisms that contribute to disease spread across large spatial scales, and synthesizing models and multiscale data are key to understanding these dynamics.
Design of Early Warning System Flood and Landslide Mitigation Sensor Based on Internet of Thing

Disaster mitigation is very important in order to reduce the number of victims of both life and material. Alertness in disaster mitigation is urgently needed in every area in all countries of the world, especially in Indonesia. Embedded device technology specifically designed and programmed to detect disasters such as earthquakes, tsunamis, floods and landslides, storms and hurricanes. The sensors are used according to the type of disaster will be detected. The system will be built this serves as an early warning system that will provide early warning against floods and landslides were predicted would happen. The system can detect floods and landslides in accordance with a sensor mounted on a disaster-prone locations. Device technology development mitigation sensors embedded as floods and landslides integrate hardware and software and Internet networks. Hardware in the form of microchip controllers and software applications of information and communication technology based internet of things. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence.
Health State of Human Capital in the Economic Theory

The importance of human capital for economic well-being is historic. Theories show that people's development is the basis for the sustainable growth of the economy. The state of health of the population has always influenced the economic state and was also influenced by the economy; thus, in the context of a precarious economy, lack of food and low levels of living lead to various diseases, as in France, eighteenth century to the revolution of 1789, there have been 30 years of famine and disease caused by lack of food, which has stagnated economic evolution. Thus, the topic of actuality, regarding the field of economic growth and the increasing integration of human health in this process, are the premises of a complex analysis of an interdisciplinary approach. The importance of the topic is derived from understanding the health of human capital as a resource for the development of society and not as a resource consumer while understanding the role of the individual decision in managing their health. Beyond the individual perspective on health, its subjective perception and individual decision-making for the choice of behavior that maximizes health, the state can be an important factor in ensuring the functioning of national health systems. The main objective of this paper is to identify, based on the specialized literature consulted on the impact of human capital and, in particular, its health, on economic growth, by analyzing the ways and the factors by which human capital influences economic activity.
PRAKTIK FINANSIAL TEKNOLOGI ILEGAL DALAM BENTUK PINJAMAN ONLINE DITINJAU DARI ETIKA BISNIS

Kemajuan teknologi berdampak bagi aspek kehidupan ekonomi masyarakat. Munculnya finansial teknologi dalam bentuk pinjaman online memberikan kemudahan untuk mendapatkan dana yang diinginkan dengan waktu yang singkat dan mudah prosesnya. Penelitian ini bertujuan untuk membahas praktik pinjaman online ilegal dari perspektif etika bisnis. Metode penelitian yang digunakan adalah Yuridis Normatif dengan spesifikasi penelitian deskriptif analitis. Pada praktik Financial Technology (tekfin) yaitu pinjaman online ditemukan beberapa masalah seperti munculnya pinjaman online illegal, tercatat sejak Januari 2018 hingga April 2019, Otoritas Jasa Keuangan telah memblokir 947 entitas tekfin berjenis pinjaman antar pihak (peer to peer lending) tak berizin. Apabila dilihat dari perspektif etika bisnis, kegiatan pinjaman online bisa dilakukan dengan saling menjaga kepercayaan yang memiliki pengaruh besar terhadap reputasi perusahaan. Namun apabila perusahaan tersebut ilegal dapat memicu terjadinya tindak pidana seperti penipuan, pencucian uang atau penyalahgunaan data milik konsumen. Kondisi tersebut dipicu oleh masih banyak masyarakat yang belum mengetahui mengenai bisnis finansial teknologi.
Toward the optimized crowdsourcing strategy for OCR post-correction

Purpose Digitization of historical documents is a challenging task in many digital humanities projects. A popular approach for digitization is to scan the documents into images, and then convert images into text using optical character recognition (OCR) algorithms. However, the outcome of OCR processing of historical documents is usually inaccurate and requires post-processing error correction. The purpose of this paper is to investigate how crowdsourcing can be utilized to correct OCR errors in historical text collections, and which crowdsourcing methodology is the most effective in different scenarios and for various research objectives. Design/methodology/approach A series of experiments with different micro-task’s structures and text lengths were conducted with 753 workers on the Amazon’s Mechanical Turk platform. The workers had to fix OCR errors in a selected historical text. To analyze the results, new accuracy and efficiency measures were devised. Findings The analysis suggests that in terms of accuracy, the optimal text length is medium (paragraph-size) and the optimal structure of the experiment is two phase with a scanned image. In terms of efficiency, the best results were obtained when using longer text in the single-stage structure with no image. Practical implications The study provides practical recommendations to researchers on how to build the optimal crowdsourcing task for OCR post-correction. The developed methodology can also be utilized to create golden standard historical texts for automatic OCR post-correction. Originality/value This is the first attempt to systematically investigate the influence of various factors on crowdsourcing-based OCR post-correction and propose an optimal strategy for this process.
Towards quantitative photoacoustic tomography for partial view array transducers

One of the challenges of quantitative Photoacoustic (PA) imaging is unmixing the optical absorption (μa) of the tissue from system response (C) and Grüneisen parameter (Γ). In this study, we have calculated the absorption coefficient and functional parameters, i.e. total hemoglobin (tHb) and oxygen saturation (sO2) of 5 blood tubes with sO2 values ranging from 24.9% to 97.6% at different depths in intralipid solution. Beer’s law is used to calculate the optical fluence in the target area. Initial values for μa and C×Γ are found by fitting a line to the log of PA beam data. These initial values are iteratively updated using a conjugate gradient method. This process is repeated for all 11 wavelengths. The absorption coefficient spectrum follows the molar extinction coefficient spectrum of deoxy hemoglobin for lower sO2 percentages, and it becomes closer to the spectrum of oxy hemoglobin when the sO2 percentage increases. The calculated absorption coefficients at 11 wavelengths are used to estimate the absolute value of the tHb and sO2 of each blood sample at different depths. The mean error of the estimated tHb values for blood tubes at all depths with respect to the real values are less than 13%. Moreover, the largest sO2 estimation error is 7.5% for the blood sample with sO2 of 24.9%. Our quantitative PA method performed well for the data collected from blood samples. We are investigating this method on our clinical data.
An Investigation Into the Origin of Nitrate in Arctic Sea Ice

Atmospheric deposition has been suggested to be an important source of reactive nitrogen stored in Northern Hemisphere land‐fast ice, in contrast to Antarctic sea ice, where bulk nutrients originate predominantly from underlying seawater. A paucity of sea ice studies in the open Arctic Ocean limits our understanding of the potential for melting ice to contribute to primary production in N‐deplete waters of the Arctic. As part of the U.S. western Arctic GEOTRACES 2015 expedition, samples of pack ice, overlying snow, atmospheric aerosols, and underlying seawater were collected between 82°N and 89°N. To identify the provenance of N in sea ice, we measured a suite of tracers including the isotopic composition of nitrate, ammonium, water, and particulate N. Relatively low concentrations of nitrate and ammonium were detected in sea ice (0.1–8.2 and 0.6–1.2 μmol L−1, respectively), and in atmospheric samples (1.1–3.7 and 0.8–1.2 μmol L−1, respectively). Atmospheric nitrate in snow had characteristically high Δ17O and δ18O (Δ17ONO3 = δ17O − 0.52 × δ18O = 27.1–33.5‰ versus Vienna Standard Mean Ocean Water (VSMOW); δ18ONO3 = 70.8–87.8‰), and low δ15NNO3 (−5.9–2‰ versus N2). In contrast to the atmospheric samples, the sea ice δ15NNO3 was typically higher (−0.3–15.0‰) and the δ17ONO3 and δ18ONO3 much lower (Δ17ONO3 = 0–12.4‰; δ18ONO3 = 23.3–67.5‰). The presence of Δ17ONO3 in the sea ice indicated that 0–40% of the nitrate is sourced from the atmosphere, while the majority of the nitrate is non‐atmospheric (Δ17ONO3 = 0‰). Based upon concentration, isotopic observations, and dynamic box modeling with atmospheric deposition and biological processes, we find that the majority of nitrate can be explained by in‐situ biological nitrate production.
An efficient quadratic finite volume method for variable coefficient Riesz space‐fractional diffusion equations

A quadratic finite volume (FV) method for steady‐state Riesz space‐fractional diffusion equations (sFDEs) with variable diffusivity coefficient is developed using piecewise quadratic basis functions, and a resulting linear algebra system with two‐by‐two block‐type Toeplitz‐like coefficient matrix is formulated. It is proved that the method requires a minimum memory of order O(N) , where N is the number of spatial partitions. Moreover, as two of the produced Toeplitz‐like submatrices are not square, a new fast nonsquare Toeplitz‐like matrix‐vector product is specially designed, which requires an almost linear computational complexity of order O(Nlog2N) . Then, a fast version of biconjugate gradient stabilized (BiCGSTAB) solution algorithm, named FBiCGSTAB, is proposed for the FV scheme. The FV method combined with Crank‐Nicolson (CN) time discretization is applied to solve time‐dependent sFDEs, and an efficient CN‐FV scheme is developed and analyzed. Finally, numerical results are presented to show the utility of the fast FV and fast CN‐FV methods.
Exergo-Economic Optimization of Organic Rankine Cycle for Saving of Thermal Energy in a Sample Power Plant by Using of Strength Pareto Evolutionary Algorithm II

Waste heat recovery plays an important role in energy source management. Organic Rankine Cycle (ORC) can be used to recover low-temperature waste heat. In the present work a sample power plant waste heat was used to operate an ORC. First, two pure working fluids were selected based on their merits. Four possible thermodynamic models were considered in the analysis. They were defined based on where the condenser and evaporator temperatures are located. Four main thermal parameters, evaporator temperature, condenser temperature, degree of superheat and pinch point temperature difference were taken as key parameters. Levelized energy cost values and exergy efficiency were calculated as the optimization criteria. To optimize exergy and economic aspects of the system, Strength Pareto evolutionary algorithm II (SPEA II) was implemented. The Pareto frontier solutions were ordered and chose by TOPSIS. Model 3 outperformed all other models. After evaluating exergy efficiency by mixture mass fraction, R245fa [0.6]/Pentane [0.4] selected as the most efficient working fluid. Finally, every component’s role in determining the levelized energy cost and the exergy efficiency and were discussed. The turbine, condenser and evaporator were found as the costliest components.
Evaluating current satellite capability to observe diurnal change in nitrogen oxides in preparation for geostationary satellite missions

This study characterizes the degree to which current polar-orbiting satellites can evaluate the daytime change in NO2 vertical column density (VCD) in urban, suburban, and rural areas. We examine these issues by considering the diurnal cycle of NO2 over the United States, using the large NO2 monitoring network supported by states, tribes, and the US Environmental Protection Agency (EPA). Through this analysis, we identify the potential opportunities and limitations of current space-based NO2 data in capturing diurnal change. Ground-based monitoring data from the US EPA are compared with satellite retrievals of NO2 from the KNMI Tropospheric Emissions Monitoring Internet Service (TEMIS) for two instruments: GOME-2 with a mid-morning overpass, and OMI with an early afternoon overpass. Satellite data show evidence of higher morning NO2 in the vicinity of large urban areas. Both satellites and ground monitors show ∼1.5–2x greater NO2 abundance between morning and afternoon in urban areas. Despite differences in horizontal resolution and overpass time, the two satellite retrievals show similar agreement with ground-based NO2 measurements. When analyzed on a pixel-by-pixel basis, we find evidence for spatial structure in the diurnal change in NO2 between city center and surrounding areas in Southern California. Wider analysis of urban-suburban structure in diurnal NO2 change is hindered by resolution differences in the two satellite instruments, which have the potential to create data artefacts. This study highlights the value of future geostationary instruments to provide comparable satellite retrievals for NO2 over the course of a day, and research needs related to the effective utilization of NO2 satellite data for air quality applications.
Excision and tension-free primary closure of pilonidal disease.

Objectives This study aimed to estimate simple excision and tension free primary closure and to study its effectiveness in terms of operating and healing time, duration of hospital stay, degree of post operation complications, and rate of recurrence. Material and Methods This is study included 78 patients, of whom 71 were (91%) males and 7 (9%) females, who underwent excision and tension free closure. The procedure was based on bilateral side flaps, which were released and dissected 2-3 cm from the edge of the wound. Patient's age, gender, body mass index, wound healing, operation, drain removal, length of hospital stay, and complications and recurrence were analysed. Results The study involved 78 patients, 71 (91%) males and 7 (9%) females. Median age of the patients was 28.5 years. Mean operation time was 44.6 minutes . Sixty-one patients (78.2%) had full primary healing without any complication. No one had hematoma or seroma, but five (6.4%) cases had a minor wound infection and three (3.8%) obese patients developed recurrence. Mean length of hospital stay was 2.5 days , most patients went back to their work within 3 weeks. Median follow-up period was in a 26.2 weak range (1-51.4 weak). Five (6.41%) cases had wound infection and three (3.85%) developed recurrence. Conclusion Excision and tension free primary closure were found to be simple procedures associated with lower rates of wound infection, shorter hospital stay, lower recurrence, early wound recovery and short period of being absent from work. Surgery can be easily performed and preferred for cases of non-recurrent pilonidal sinus and cyst.
Effects of gas pressurization on the interpretation of NMR hydrocarbon measurements in organic rich shales

The estimation of total hydrocarbons (HCs) in place is one of the most important economic challenges in unconventional resource plays. Nuclear magnetic resonance (NMR) has proven to be a valuable tool in directly quantifying both hydrocarbons and brines in the laboratory and the field. Some major applications of NMR interpretation include pore body size distributions, wettability, fluid types, and fluid properties. However, for tight formations, the effects of the factors on NMR relaxation data are intertwined. One purpose of this study is to review the interpretation of NMR response of HCs in a tight rock matrix through illustrated examples. When comparing NMR data between downhole wireline and laboratory measurement, three important elements need to be considered: 1) temperature differences, 2) system response differences, and 3) pressure (mainly due to the lost gasses.) The effect of temperature on HCs would be presented with experimental results for bulk fluids. Whereas, the effect of pressure is investigated by injecting gas back into rock matrix saturated with original fluids. The experiments were performed within an NMR transparent Daedalus ZrO2 pressure cell, which operates at pressures up to 10,000 psi. The results show that, at ambient temperature and pressure, NMR responds to a fraction of HCs, which is volatile enough to be observed as an NMR relaxation sequence. The invisible fraction of HCs to NMR sequence at ambient condition can be up to 20% of the total extractable HCs. Molecular relaxation is impacted by fluid viscosity, pore size, and surface affinity. In other words, the fluid with higher viscosity (either due to temperature or gas loss), presenting in smaller pore, or highly affected by the pore surface, will relax faster, and would be partially invisible to NMR, especially in the field. This is critical to the interpretation of NMR response for liquid rich source rocks, in which all of the above molecular relaxing restrictions can be found. Thus, engineers can underestimate movable HCs by using routine core analysis data.