Miracle-dz/UniFAR-FTUs huggingface dataset:
Romantic alternative monitoring increases ahead of infidelity and break-up

Monitoring alternative partners may be associated with engaging in behaviors that undermine relationship fidelity and/or stability. For example, paying attention to romantic alternatives has been shown to be associated with lower relationship quality. Studies have investigated the association between alternative monitoring and relationship outcomes, but with significant methodological limitations. This study aims to longitudinally explore whether and how alternative monitoring is associated with infidelity and break-up. Participants were 779 individuals drawn from a longitudinal sample of individuals in unmarried different-sex relationships. As hypothesized, alternative monitoring was higher for those who broke up and for those who reported infidelity, compared to those who remained together without infidelity. Additionally, consistent with predictions, increases in alternative monitoring preceded break-up, and particularly large increases in alternative monitoring preceded infidelity, compared to trajectories for those who remained together and did not report infidelity. Results highlight the importance of measuring change in alternative monitoring over time, rather than only considering mean differences at a single timepoint. Clinical implications and future directions are discussed.
Effect of lac-based formulations on incidence of Penicillum italicum on Kinnow fruits

An experiment was conducted to find out the effect of lac-based formulations on incidence of Penicillium italicum on kinnow fruits and spoilage during storage at low temperature. Each fruit was punctured (10 holes) at four places by pinprick and dipped in emulsion (20%) of three different lac based formulation viz. FC -1, FC - 2 & FC - 3 and a stay fresh wax emulsion for 30 sec. For storage study, the fruits were treated with lac-based formulations and packed 30 fruits in each CFB box (5 ply) in 4 replicates for 75 days under cool chamber. Minimum incidence of P. italicum was found in stay fresh wax formulation (76.33%) followed by FC- 3. Moreover, minimum water soaked area was recorded in Stayfresh wax 9.24 em- followed by FC - 2 (9.81 cm2) after 5 days. Lac-based formulations inhibited growth of P. italicum on fruits. Spoilage of the fruits was significantly reduced by lac-based formulations during storage. These formulations did not deteriorate the quality of fruits up to 72 days under cool chamber. It may be used as coating agent to reduce the spoilage, shriveling and enhanced the shelf life of fruits.
Preconcentration of Gallium(III) and Indium(III) by Coprecipitation with Hafnium Hydroxide for Electrothermal Atomic Absorption Spectrometry

The trace amounts of gallium and indium in water were determined by graphite furnace atomic absorption spectrometry after being concentrated by the coprecipitation technique with hafnium hydroxide. Hafnium hydroxide coprecipitates quantitatively 0.2-3 μg of gallium from 50-400 ml of sample solution at pH 6.0-10.5 and 0.2 -4 μg of indium from 50-400 ml at pH 6.0-11.0. The atomic absorbances of gallium and indium are increased about 3 times by the presence of hafnium; the reproducibilities of the measurements are also improved. The calibration curve is linear from 8 to 120 ng ml"^1 of gallium or from 8 to 160 ng ml^-1 of indium. Twenty seven diverse ions tested did not interfere seriously with either element. These methods are applicable to the determination of gallium and indium in river or seawater which contains down to 0.5 ng ml^-1 of these elements.
Neural Network Predictive Modeling on Dynamic Portfolio Management—A Simulation-Based Portfolio Optimization Approach

Portfolio optimization and quantitative risk management have been studied extensively since the 1990s and began to attract even more attention after the 2008 financial crisis. This disastrous occurrence propelled portfolio managers to reevaluate and mitigate the risk and return trade-off in building their clients’ portfolios. The advancement of machine-learning algorithms and computing resources helps portfolio managers explore rich information by incorporating macroeconomic conditions into their investment strategies and optimizing their portfolio performance in a timely manner. In this paper, we present a simulation-based approach by fusing a number of macroeconomic factors using Neural Networks (NN) to build an Economic Factor-based Predictive Model (EFPM). Then, we combine it with the Copula-GARCH simulation model and the Mean-Conditional Value at Risk (Mean-CVaR) framework to derive an optimal portfolio comprised of six index funds. Empirical tests on the resulting portfolio are conducted on an out-of-sample dataset utilizing a rolling-horizon approach. Finally, we compare its performance against three benchmark portfolios over a period of almost twelve years (01/2007–11/2019). The results indicate that the proposed EFPM-based asset allocation strategy outperforms the three alternatives on many common metrics, including annualized return, volatility, Sharpe ratio, maximum drawdown, and 99% CVaR.
Spectral-Spatial Hyperspectral Image Classification Based on Homogeneous Minimum Spanning Forest

The combination of spectral and spatial information is known as a suitable way to improve the accuracy of hyperspectral image classification. In this paper, we propose a spectral-spatial hyperspectral image classification approach composed of the following stages. Initially, the support vector machine (SVM) is applied to obtain the initial classification map. Then, we present a new index called the homogeneity order and, using that with K-nearest neighbors, we select some pixels in feature space. The extracted pixels are considered as markers for Minimum Spanning Forest (MSF) construction. The class assignment to the markers is done using the initial classification map results. In the final stage, MSF is applied to these markers, and a spectral-spatial classification map is obtained. Experiments performed on several real hyperspectral images demonstrate that the classification accuracies obtained by the proposed scheme are improved when compared to MSF-based spectral-spatial classification approaches.
Atmospheric Pressure Chemical Vapor Deposition of Tin Sulfides (SnS, Sn2S3, and SnS2) on Glass

Atmospheric pressure chemical vapor deposition of SnS2, Sn2S3, and SnS has been achieved onto glass substrates from the reaction of SnCl4 with H2S at 300−545 °C. The films show good uniformity and surface coverage, adherence, and a variety of colors (black, yellow, brown, and gray) dependent on deposition temperature and film thickness. Growth rates were on the order of 1−2 μm min-1. All the films were crystalline. For substrate temperatures of up to 500 °C single phase films with the hexagonal SnS2 structure (a = 3.65(1) A, c = 5.88(1) A) were formed. At 525 °C a film of mixed composition containing predominantly orthorhombic Sn2S3 (a = 8.83(1) A, b = 3.76(1) A, c = 14.03(1) A) was formed together with some SnS2. At 545 °C films with orthorhombic SnS structure (a = 4.30(1) A, b = 11.20(1) A, c = 3.99(1) A) were formed. Scanning electron microscopy (SEM) revealed a variety of different film thicknesses and morphologies, including needles, plates, and ovoids, dependent on the deposition temperature and tim.
How realistic are the wakes of scaled wind turbine models?

Abstract. The aim of this paper is to analyze to which extent wind tunnel experiments can represent the behavior of full-scale wind turbine wakes. The question is relevant because on the one hand scaled models are extensively used for wake and farm control studies, whereas on the other hand not all wake-relevant physical characteristics of a full-scale turbine can be exactly matched by a scaled model. In particular, a detailed scaling analysis reveals that the scaled model accurately represents the principal physical phenomena taking place in the outer shell of the near wake, whereas differences exist in its inner core. A large-eddy simulation actuator-line method is first validated with respect to wind tunnel measurements and then used to perform a thorough comparison of the wake at the two scales. It is concluded that, notwithstanding the existence of some mismatched effects, the scaled wake is remarkably similar to the full-scale one, except in the immediate proximity of the rotor.
Photocatalytic Activities of Rutile and Anatase Nanoparticles Selectively Prepared from an Aqueous Solution

Nanoscale particles of rutile- and anatase-type titanium dioxides were selectively grown in acidic solutions of titanyl sulfate. The variation of photocatalytic activity as a function of UV light intensity was investigated using rutile and anatase powders having almost the same size (20-30 nm) and shape for a clear comparison of the performance depending on the crystal structure. Whereas the performance of anatase evaluated with the decomposition of methylene blue and the reduction of Cr(VI) under UV light was proportional to the square root of the UV light intensity, rutile showed a saturation of the activity in the high-intensity region regardless of the light sources and photochemical reactions. The saturating tendency of rutile weakened with an electron-withdrawing reaction or a decrease in the grain size. Then, the performance of rutile could be superior to that of anatase under illumination at a low-light-intensity. The difference in the photocatalytic performance between rutile and anatase is tentatively ascribed to a high recombination rate of generated electrons and holes associated with a low mobility of carriers in rutile.
Design and Implementation of a Novel Variable Stiffness Actuator With Cam-Based Relocation Mechanism

Variable stiffness actuators (VSAs) are widely explored as they could improve the safe performance for human-robot interaction and make the system torque controllable based on the internal compliance. This article presents a novel VSA based on the cam-based relocation mechanism (CRM-VSA), which is utilized to change the locations of pivot and spring of a lever mechanism simultaneously. Consequently, such structure makes the actuator compacted and the stiffness regulation designable, which could help engineers to pursue different demands of stiffness regulation. The simultaneous relocations of the pivot and spring also permit a wide range of adjustable stiffness. By introducing linear guide pairs, the internal friction of the relocations of pivot and spring could be greatly reduced, thus enhancing the energy efficiency. To evaluate the performance of the proposed CRM-VSA, the point-to-point control strategy is developed, which contributes to a higher tracking accuracy and oscillation attenuation at both the start and end points of the trajectory. In addition, the performance of torque controllability is also verified through experiments. These excellent capabilities enable the proposed CRM-VSA to be qualified for constructing a robotic arm toward service applications.
Trends in studies of edge influence on vegetation at human-created and natural forest edges across time and space

Forest edges, or boundaries between adjacent ecosystems, play important ecological roles. Both anthropogenic and natural forest edges affect vegetation while contributing to landscape heterogeneity. The recent proliferation of studies on vegetation at edges suggests that a comprehensive review of global edge studies is timely. We reviewed the literature on forest edges to identify trends in edge studies over time, determine types and localities of studied edges, and compare findings on edge influence. We found 446 studies conducted in 55 different countries that considered edge influence on vegetation structure and (or) composition. Research on vegetation at anthropogenic edges has increased and expanded geographically, but studies are still scarce in some areas and at natural forest edges. Forest edges were generally characterized by greater species diversity and nonnative species abundance than interior forest. Distance of edge influence on vegetation extended furthest at tropical anthropogenic forest edges compared with other edge types and locations. Edge influence on responses caused by indirect effects of edges generally extended further into the forest than edge influence on responses related to forest structure. Our findings indicate that vegetation characteristics differ between edge and forest types and should be considered in the sustainable management of heterogeneous forested landscapes.
Effect of Short-Term Resuspension Events on Trace Metal Speciation in Polluted Anoxic Sediments

The effects of the short-term resuspension of a contaminated anoxic estuarine sediment on solid-phase metal speciation have been studied. Preliminary experiments investigated the oxidation rates of model metal sulfide phases to provide mechanistic information for interpreting the observations on the natural sediment. FeS and MnS model phases were particularly labile and oxidized rapidly in aerated waters. In contrast, CdS, CuS, PbS, and ZnS model phases were kinetically stable over periods of several hours. The oxidation rate of free sulfide (HS-) was significantly slower than that of FeS and MnS. Upon sediment resuspension, the rapid decrease in acid volatile sulfide (AVS) could be accounted for by the oxidation of iron monosulfide phases. Over prolonged resuspension periods (>300 min), AVS decreased to values lower than the simultaneously extracted metals [SEM = ∑Cd, Cu, Ni, Pb, Zn (1 M HCl extraction, 30 min)] concentration, indicating that a significant fraction of trace metal sulfide phases may be ox.
Facile Synthesis of Dihydroquinolines via Palladium Catalyzed Sequential Amination and Cyclisation of Morita‐Baylis‐Hillman Alcohols

Abstract Quinolines and its derivatives are significant class of heterocyclic compounds which are identified as the key component in many natural products and biologically important molecules. We describe herein a facile method for the synthesis of quinoline derivatives from Morita‐Baylis‐Hillman (MBH) Alcohols via Palladium Catalyzed intramolecular aryl amination followed by allylic amination pathway. The reaction between a series of MBH alcohols and amino compounds (Tosyl, aliphatic and aromatic amines) under optimized reaction conditions with Pd(PPh3)2Cl2/DPPP catalyst system, afforded the corresponding 1,2‐dihydroquinolines upto 95 % isolated yield.
Lung cancer screening strategy for non-high-risk individuals: a narrative review

Lung cancer is the deadliest malignancy worldwide, accounting for almost 20% of all cancer deaths. Clinical trials, such as NLST and NELSON, have proved the survival benefit of lung cancer screening using low-dose computed tomography (LDCT), and most of the lung cancer screening guidelines recommended annual lung cancer screening by LDCT for high-risk individuals. However, a relatively high proportion of lung cancer patients do not have risk factors, and it is questionable whether non-high-risk individuals should receive LDCT screening. In this review, we reviewed risk factors of lung cancer and summarized the benefits and potential harms of LDCT screening. After clarifying the differences between China and western countries in lung cancer screening, we recommended that non-high-risk individuals should receive LDCT screening with an interval of five to ten years. To better balance benefits and harms from LDCT screening, we also proposed a flexible screening strategy using LDCT based on lung cancer risk. Hopefully, it may help reduce unnecessary radiation exposure from CT scans while decreasing mortality of lung cancer.
Managing hidden late complications in irradiated head and neck cancer patients using a practical integrative approach: a narrative review

Radiation techniques have evolved in the last twenty years towards ubiquitous use of intensity modulated radiation therapy (IMRT), which has decreased late complications from radiation to the head and neck area. Despite this, devastating sequelae still impair the long-term functioning of head and neck patients. There are the well-known sequelae of trismus, osteoradionecrosis and xerostomia. However, inadequately addressed sequalae such as dysphagia, odynophagia, hypoguesia, internal lymphedema and cognitive impairment do significant hidden damage to patients’ quality of life (QOL). Research has demonstrated that QOL can continue to decline even 10 years post radiation treatment, when many clinicians have long since ended follow-ups. Patients often underreport these symptoms and physicians are not trained to specifically ask about these symptoms long-term. This paper will use an evidence-based approach to look at the hidden sequelae of radiation to the head and neck area, review the current data regarding integrative approaches, and provide a practical integrative system for the practicing clinician. A practical system would include exercise, psychosocial techniques for the mind and emotions, meditation and early referral to a registered dietitian nutritionist (RDN) to educate and support the patients’ nutritional needs. Integrative techniques have been shown in the literature to provide an increased QOL and also in some studies, a direct improvement in patients’ recurrence rates and mortality. If more providers were to understand and put more emphasis on early integrative interventions, it could improve long-term head and neck cancer QOL and mortality outcomes after radiation.
Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

In motion control, the generation of motion profiles for non-linear kinematics is usually computationally complex. In order to minimize the workload on the machine’s control system, the approach pursued is outsourcing complex calculation tasks to the offline area. In this offline motion preparation, predefined criteria have to be taken into account to guarantee process stability on the real machine. During the motion preparation, a high performance is desired, characterized by less data generated and at the same time little computing effort. The evaluation will use the example of a motion specification, which is characterized by a large amount of data compared to conventional motion specifications. Thus, the demands on performance become even higher. This paper examines the performance of different motion preparation approaches known from literature. On the one hand, selected spline-based algorithms are discussed and compared. A recursive algorithm based on monomial splines is recommended for use in the example. On the other hand, a very simple approach based on the linearization of the non-linear workspace of the mechanism is presented and applied on the algorithms. With this, the performance increased significantly again.
Improved calibration of Green-Ampt infiltration in the
EROSION-2D/3D model using a rainfall-runoff experiment
database

Abstract. Soil infiltration is one of the key factors that has an influence on soil erosion caused by rainfall. Therefore, a well-represented infiltration process is a necessary precondition for successful soil erosion modelling. Complex natural conditions do not allow the full mathematical description of the infiltration process and additional calibration parameters are required. The Green-Ampt based infiltration module in the EROSION-2D/3D model is adjusted by calibration of the skinfactor parameter. Previous studies provide skinfactor values for several combinations of soil and vegetation conditions. However, their accuracies are questionable and estimating the skinfactors for other than the measured conditions yields significant uncertainties in the model results. This study presents new empirically based transfer functions for skinfactor estimation that significantly improve the accuracy of the infiltration module and thus the overall EROSION-2D/3D model performance. The transfer functions are based on a statistical analysis of the rainfall-runoff simulation database, which contains 273 experiments compiled by two independent working groups. Linear mixed effects models, with a manual backward elimination approach for the predictor selection, were applied to derive the transfer functions. Soil moisture and bulk density were identified as the most significant predictors explaining 79 % of the skinfactor variability, followed by the soil texture and the impact of previous rainfall events. The mean absolute percentage error of the skinfactor prediction was improved from 192 % using the currently available method, to 66 % using the presented transfer functions. Error propagation of the predicted skinfactors into the surface runoff and soil loss on the hypothetical slope showed significant improvement in the EROSION-2D/3D results. A first validation of real rainfall-runoff events indicates good model performance for events with a higher total precipitation and intensity.
A New Control Performance Evaluation Based on LQG Benchmark for the Heating Furnace Temperature Control System

Temperature control systems are a series of processes with large time-delay and non-linear characteristics. Research shows that using fractional-order modeling and corresponding control strategies can better control these processes. At the same time, the existing studies for control performance assessment are almost committed to the integer order control systems, and the methods used in few literatures on performance assessment of fractional order systems are also one-sided. This paper applies the linear quadratic Gaussian (LQG) evaluation benchmark to the performance evaluation of fractional-order control systems for the first time, starting with the LQG evaluation benchmark considering the input and output performance. The LQG benchmark can be obtained by the analytical algorithm, which simplifies the complexity of LQG solution. Finally, taking the application of the fractional predictive function control (FO-PFC) controller in the experiment of industrial heating furnace temperature control as an example, the effectiveness of the LQG benchmark is verified.
Improved Loss-of-Lubrication Performance with Lubricants Containing Nano-Graphene Platelets and Ionic Liquids

In this study, nano-graphene platelets (NG) and a phosphonium-phosphate-based ionic liquid (IL) were studied as additives to rotorcraft gearbox oil to improve the resistance to scuffing under starved lubricated conditions. Behavior under a loss of lubrication was evaluated using a high-speed ball-on-disk tribometer and a reciprocating cylindrical pin-on-disk tribometer. In addition, the scuffing load and friction over a wide range of sliding and entrainment speeds was determined. On the high-speed ball-on-disk tribometer, an oil blend containing both NG and IL additives was able to operate two times longer than an unadditivized oil before scuffing after the lubrication supply was removed. The increase in time to scuffing was larger for two additives together than the sum of their parts. The additives showed an increase in scuffing load individually but were detrimental when mixed together with a lower scuffing load. The combination of NG and IL show promise as additives to increase the operation time of gears during loss of lubrication, however at the potential cost of decreasing the load-carrying capacity of the oil.