Miracle-dz/UniFAR-FTUs huggingface dataset:
VICTORIA UNIVERSITY OF WELLINGTON Te Whare Wananga o te Upoko o te Ika a Maui

This paper describes an approach to the use of gradient descent search in genetic programming for continuously evolving genetic programs for object clas-si(cid:12)cation problems. An inclusion factor is introduced to each node except the root node in a genetic program and gradient descent search is applied to the inclusion factors. Three new on-zero operators and two new continuous genetic operators are developed for evolution. This approach is examined and compared with a basic GP approach on three object classi(cid:12)cation problems of varying dif-(cid:12)culty. The results suggest that the new approach can evolve genetic programs continuously. The new method which uses the standard genetic operators and gradient descent search applied to the inclusion factors substantially outperforms the basic GP approach which uses the standard genetic operators but does not use the gradient descent and inclusion factors. However, the new method with the continuous operators and the gradient descent on inclusion factors decreases the performance on all the problems.
Risk Predicting of Macropore Flow using Pedotransfer Functions, Textural Maps, and Modeling

Leaching of P to tile drains by colloid‐facilitated transport in macropores is an important pathway for P loss in structured soils. Macropore flow is the main transport route for many organic and inorganic pollutants, but macropore flow cannot currently be reliably predicted. The objectives of this study were first to develop pedotransfer functions (PTFs) predicting near‐saturated [k(−1)] and saturated (Ks) hydraulic conductivity using simple soil parameters as predictors and second to use this information and a newly developed raster‐based soil property map of Denmark to identify risk areas for macropore flow. The data set was based on hydraulic measurements on large, undisturbed soil columns from different localities in Denmark. Unsaturated [k(h)] and saturated hydraulic conductivity were measured in the laboratory; k(−1) representing the hydraulic conductivity of the soil matrix and the difference between log(Ks) and log[k(−1)] that expresses the possible degree of preferential transport through macropores were considered crucial for the flow of water through macropores. Pedotransfer functions predicting the two key parameters (log(Ks) and log[k(−1)]) based on neural networks were derived using combinations of different soil physical parameters. The neural network was able to develop reasonably accurate PTFs predicting log[k(−1)], whereas the prediction of log(Ks) was less accurate. Using the distributed data of the hydraulic properties derived from the PTFs, outputs of water flow modeling were used to construct a new map dividing Denmark into risk categories for macropore flow. This map can be combined with other tools to identify areas where there is a high risk of contaminants leaching out of the root zone.
AMV Error Characterization and Bias Correction by Leveraging Independent Lidar Data: a Simulation using OSSE and Optical Flow AMVs

Accurate estimation of global winds is crucial for various scientific and practical applications, such as global chemical transport modeling and numerical weather prediction. One valuable source of wind measurements is Atmospheric Motion Vectors (AMVs), which play a vital role in the global observing system and numerical weather prediction models. However, errors in AMV retrievals need to be addressed before their assimilation into data assimilation systems, as they can affect the 5 accuracy of outputs. An assessment of the bias and uncertainty in passive-sensor AMVs can be done by comparing them with information from independent sources such as active-sensor winds. In this paper, we examine the benefit and performance of a colocation scheme using independent and sparse lidar wind observations as a dependent variable in a supervised machine learning model. We demonstrate the feasibility and performance of this approach in an Observing System Simulation Experiment (OSSE) 10 framework, with reference geophysical state data obtained from high resolution Weather Research and Forecasting (WRF) Model simulations of three different weather events. Lidar wind data are typically available in only one direction, and our study demonstrates that this single component of wind in high-precision active-sensor data can be leveraged (via a machine learning algorithm to model the conditional mean) to reduce the bias in the passive-sensor winds. Further, this active-sensor wind information can be leveraged through an algorithm 15 that models the conditional quantiles to produce stable estimates of the prediction intervals, which are helpful in design and application of error analysis. We also found that the uncertainty prediction of this single-component wind has a positive linear relationship with the total-vector root-mean-squared-vector-difference (RMSVD), which can aid in design of quality indicators and filters.
Molecular mechanisms of platelet-mediated liver regeneration after partial hepatectomy

Background & aims: In addition to their function in thrombosis and hemostasis, platelets play an important role in the stimulation of liver regeneration. It has been suggested that platelets deliver mitogenic cargo to the regenerating liver, and accumulation of platelets in the regenerating liver has been demonstrated. We studied kinetics of platelet influx in the regenerating liver and investigated the signal that initiates platelet influx. Methods: We visualized platelets in the liver remnant after partial hepatectomy in mice using intravital microscopy and assessed liver regeneration by examination of liver/body weight ratio and the number of proliferating hepatocytes examined by immunohistochemistry. Results: We demonstrated rapid but transient platelet influx into the liver remnant after a partial liver resection. Liver regeneration in thrombocytopenic mice was substantially impaired as evidenced by a reduced liver-to-body weight ratio and decreased numbers of proliferating hepatocytes at day 3 compared to mice with normal platelet counts. In contrast, liver regeneration was only mildly impaired when thrombocytopenia was induced 2 hours after partial liver resection. Platelet influx into the liver remnant was virtually absent in the presence of an antibody to von Willebrand factor (VWF) suggesting that VWF release from liver sinusoidal endothelial cells mediates platelet influx. Additionally, liver regeneration in mice deficient in VWF was markedly impaired. Conclusions: A rapid but transient VWF-dependent platelet influx into the liver remnant drives platelet-mediated liver regeneration.
Computing sample size and stopping boundaries with known standard

, a t test is performed, and we use the signiﬁcance level approach described in [ ADAPT ] gsbounds . The table at the bottom of the output provides the p -value corresponding to each critical value. We can compare the p -value for the t test with these p -value boundaries.
Employee resilience in Morocco: Exploratory Analysis and Perspectives through Organizational drivers La résilience des employés au Maroc : Analyse exploratoire et perspectives à travers les leviers organisationnels

The concept of resilience has recently been of particular interest in the managerial debate; in fact, it is a recent approach that organizations can use to address challenges and rethink how they can deal with adversity, especially in the current circumstances. In a context of constant change and crisis, employee resilience in organizations is of paramount importance. However, research on individual resilience at the professional level is still limited, hence the interest of our current study, which aims to understand how organizations and employees were responding to the COVID-19 crisis in Morocco and developing the resilience of their employees. To our knowledge, very few studies have specifically explored this topic in organizations in Morocco. We used NVIVO 12 software and manually, the Braun & Clarke analysis model (2006 cited by Maguire, M. and Delahunt, B. (2017)) to analyze the body of interviews conducted. Among the main results of our research, Human Resources Management (HRM) professionals interviewed noted that the resilience of employees in Morocco in times of crisis is increasingly recognized for its positive effects on various organizational aspects. They add that resilient employees are distinguished by their ability to manage their emotions and adapt with creativity and ambition, besides maintaining their performance despite constraints. Finally, organizational factors, especially HRM practices, are key to building employee resilience. Therefore, like researchers such as Luthans, Vogelgesant, and Lester (2006) (cited by Bardoel et al. 2014), our experts interviewed encourage organizations to invest in the development of psychological capital and especially in the resilience of their employees.
Short‐period P‐wave generation by Rayleigh‐wave scattering at Novaya Zemlya

The teleseismic P-wave signal from underground explosions at Novaya Zemlya Island is followed by a coda lasting several minutes. The power level of the coda was measured on Lasa beams for two explosions and on five single seismometer records for one explosion. If we use a statistical approach, the measured coda level can be explained by assuming that the coda is a result of scattering of source-generated Rayleigh waves to P body waves by the island coastlines, river valleys, and other topographic features that are found within a few hundred kilometers of the source. The rate at which the coda decays with time is consistent with the hypothesis of coda generation by scattering.
Barriers and facilitators to family participation in the care of their Barriers and facilitators to family participation in the care of their hospitalized loved ones hospitalized loved ones

This study’s objective was to better understand family members’ experiences in order to identify how healthcare organizations can facilitate their participation in the care of a hospitalized loved one. Eighteen individuals at the bedside of a hospitalized loved one were interviewed individually. Roles at the bedside and factors that facilitated their participation or represented barriers were examined. A qualitative analysis using a mixed inductive/deductive approach was performed. Reassurance and emotional support, as well as sharing information with the healthcare team emerged as main roles. Quality and timeliness of the information received about the patient’s condition, prognosis and changes in medical condition, as well as information on how to participate in their care, were the factors most frequently evoked as facilitating participation. On the other hand, the need to improve communication channels and access to doctors were highlighted. Most family members having no prior knowledge or exposure to healthcare environments reported feeling overwhelmed in this foreign environment. Among the suggestions on how to improve their experience, having a well-identified contact person who liaises with them and who can instruct them on how to participate in care during hospitalization and back at home was frequently suggested. Furthermore, many mentioned that recognizing the experiential knowledge they have of the patient allows for more holistic care and contributes to improve both patient and family experience. Families need to be adequately recognized and supported and have access to information in a timely manner so that their contribution to their loved one’s care is maximized and the burden associated with this stressful experience alleviated.
Morphodynamic Response to Wave Group Forcing

A numerical model is used to compute the time-dependent behaviour of the nearshore bathymetry under wave group forcing using the depth-averaged shallow water equations in combination with an advection-diffusion equation for the sediment concentration. After verification with prototype flume measurements, a morphodynamic computation for a pocket beach has been carried out for two different conditions. The first case consideres wave groups made up by a bichromatic wave resulting in an alongshore rhythmic double-barred beach. The second case considers wave groups made up by a directionally spread short wave field resulting in a single barred beach intersected by irregularly spaced rip-channels.
Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment

Automated credit risk assessment plays an important role in agricultural lending. However, credit risk assessment in the agricultural domain has unique challenges due to the impact of weather, pest outbreaks, commodities market dynamics, and other volatile forces that drive risk. Training a model to account for these factors requires immense data assets that are challenging to obtain. Indeed, even the best credit risk assessment models in this domain are trained using data from single-institutions that often focus on dedicated geographical regions, or singular commodities. Hence, most agricultural credit risk models exhibit poor out-of-domain performance. In this paper, we use a novel dataset describing nearly 100 thousand historical loans, sourced from 9 large agricultural lenders to train a Bayesian network model for loan delinquency classification. The proposed model exhibited improved calibration (relative improvement in Expected Calibration Error) in out-of-domain performance tests when compared to three state-of-the-art credit risk scoring approaches: Logistic regression (81 ± 15% improvement), XGBoost (80 ± 14% improvement), and an Artificial Neural Networks (7 ± 2% improvement). We conclude that Bayesian networks provide better modeling of agricultural credit risk by combining (limited) data assets with expert domain knowledge. Our approach is likely to generalize to any credit risk assessment task where small sample sizes is of concern.
Recurrent Early Triassic ocean anoxia

The Early Triassic record, from the Smithian stratotype, shows that the organic carbon isotope record from northwest Pangea closely corresponds to major fluctuations in the inorganic carbon records from the Tethys, indicating truly global perturbations of the carbon cycle occurred during this time. Geochemical proxies for anoxia are strongly correlated with carbon isotopes, whereby negative shifts in δ 13 C org are associated with shifts to more anoxic to euxinic conditions, and positive shifts are related to return to more oxic conditions. Rather than by a delayed or prolonged recovery, the Early Triassic is better characterized by a series of aborted biotic recoveries related to shifts back to ocean anoxia, potentially driven by recurrent volcanism.
The Astronomical Significance of the Clockwise Misalignment from Cardinal Directions in the Maya Lowlands

In this paper we outline the results of our archaeoastronomical study dealing with a number of Mayan settlements located in the lowlands of Campeche, Yucatan and Quintana Roo (Mexico), in order to try to explain the well- known clockwise misalignments with respect to the astronomical cardinal directions. In this work we present the results of our analysis and propose a solution of this problem. The methodology followed in our study is based on statistical methods as well as on the astronomical computations. In a preliminary research we at first analysed the topographic maps of the Mayan sites checking that the deviation of the main axes of the cities is always rotated by few degrees in a clockwise direction from the astronomical North, but with different azimuths. We have successfully tested various hypotheses on the astronomical criteria applied by the Mayan people in order to build and orient their cities, and we are able to show that exists a strict relationship between the architectural alignments and the astronomical observations of the most important stars in the framework of the Mayan religion.
Analysis on Ground Stress Measurement and Application in Xinji No.1 Mine

In order to have a ground stress measurement in Xinji No.1 Mine,during the initial geological exploration period,the hydraulic fracturing method was applied to measure the ground stress fields of the typical located No.S-5 borehole and No.S-9 borehole in the mine.The analysis and study on the measured results showed that the stress fields in the mine were mainly in horizontal with the obvious tectonic stress features.The max,min and vertical main stress would be increased with the mine depth increased.The max horizontal main stress measured in the mine was 13.95～25.23 MPa and the direction of the stress was close to NE.The min horizontal main stress was 12.16～21.17 MPa.In comparison with the analysis,the measured results and the regional geological tectonic ground stress field in the Huainan Mining Area were basically fitted to each other.
Numerical Simulation of Tsunamis Due to a Landslide

Tsunamis, generated by falling rigid bodies, have been numerically simulated using the MPS model, in the vertical two dimensions. The numerical result for the water surface displacement of the first wave is in harmony with the corresponding experimental result obtained using the cylinders. A tsunami component traveling toward the shore and running up the slope can be confirmed in the present cases. The tsunami height, immediately after the large circles enter the water, does not depend much on the offshore still water depth, while the tsunami-height reduction is suppressed, when the offshore still water depth is shallower. Conversely, the tsunami height, immediately after the small circles enter the water, increases as the offshore still water depth is shallower. Both the tsunami height, immediately after the falling bodies enter the water, and the reduction rate of tsunami height, are larger for the large circles than for the small circles. In the cases where the falling rigid bodies include both the large and small circles, the reduction rate of the water level near the tsunami source is larger, when the large circles are stacked on the offshore side at the initial condition.
Check dam influence on vegetation species diversity in mountain torrents of the Mediterranean environment

Previous research has developed a method to assess the impact of check dams on riparian vegetation and related river bed sediment size with vegetation coverage and development. On the basis of this knowledge, this paper aims to investigate the effects on riparian species diversity induced by 32 check dams in four torrent headwaters of Southern Italy. Species richness and composition of riparian vegetation in the active channel were surveyed upstream and downstream of each check dam and in intermediate (less disturbed) sites. Furthermore, links between hydromorphological processes and vegetation diversity were analysed.
Green Human Resource Management and Pro-Environmental Behaviour: Effect of Green Organizational Identity and Green Shared Vision

Connecting pro-environmental behaviour (PEB) with green human resource management (GHRM), especially in hospitals, is becoming a new research interest. Previous research has called for a comprehensive theoretical framework linking the GHRM principles with the attitudes and behaviors underping pro-environmental conduct. This study replies to those calls and also provides pioneering inputs as there is a lack of studies in the green HRM field, especially in Vietnam's health sector. Utilizing the Ability-Motivation-Opportunity theory (AMO), this study developed and tested a moderated mediation model that investigated the impact of GHRM on employees' environmental behavior by relating it to the Green Organizational Identity (GOI) mediated effects and the regulatory impact of Green Share Vision (GSV) in business. Data from a sample collected from 80 hospitals with 696 self-administered questionnaires were obtained and employed structural equation modeling with SPSS version 20 and AMOS version 20 software. Results reveal that GHRM positively impacts GOI and PEB, and GOI acts as a mediator between GHRM and PEB, alongside the mediation effect of GSV between these two variables. The results have also found that GHRM moderates PEB when the GSV is moderated within the new model accepted. The study offers several managerial implications as a final contribution to assisting managers and policymakers in developing effective GHRM and PEB policies.
Discovering Gray Pine (Pinus sabiniana) in Oregon

Until fairly recently, gray pine was believed to be restricted to California, where John Muir encountered it. But the fi rst report of it in Oregon dates back to 1831, when David Douglas wrote to the Linnaean Society of his rediscovery of Pinus sabiniana in California. In his letter from San Juan Bautista, Douglas claimed to have collected this pine in 1826 in Oregon while looking for sugar pine (Pinus lambertiana) between the Columbia and Umpqua rivers (Griffin 1962). Unfortunately, Douglas lost most of his fi eld notes and specimens when his canoe overturned in the Santiam River (Harvey 1947). Lacking notes and specimens, he was reluctant to report his original discovery of the new pine in Oregon until he found it again in California (Griffin 1962). Despite the delay in reporting it, Douglas clearly indicated that he had seen this pine before he found it in California, and the Umpqua region has suitable habitat for gray pine. John Strong Newberry1 (1857), naturalist on the 1855 Pacifi c Railroad Survey, described an Oregon distribution for Pinus sabiniana: “It was found by our party in the valleys of the coast ranges as far north as Fort Lane in Oregon. ” Fort Lane was on the eastern fl ank of Blackwell Hill (between Central Point and Gold Hill in Jackson County), so his description may also include the Applegate Valley. Built in September 1853 for service in the Rogue River War, Fort Lane was abandoned three years later. Named for General
Sentiment analysis of Artificial Advisors in Search and Rescue Tasks

The potential of Artificial Intelligence in assisting human teamwork has yet to be fully realized, despite its success in other domains. To ensure AI’s effectiveness and credibility as a team advisor, it must be able to effectively infer team dynamics and issue appropriate interventions. This study focuses on AI-mediated human teamwork in an simulated search and rescue (SAR) task, where a team of humans is monitored and guided by an artifical social intelligence (ASI). Six different ASIs are compared against a human baseline investigating the characteristics and effectiveness of their interventions. When adjusted for initial player competence ASIs performed on par with the human advisor although the human advisor was rated as more trustworthy and useful. Additionally, sentiment analysis of the interventions reveals that participants were more likely to accept interventions with negative emotions and resulted in improved team performance.
Primary study on the quantitative relationship between the typical building structures in western China

Estimation of earthquake losses is based on the damage degree of buildings in a region.Earthquake damage index is a number between 0 and 1 which shows the damage degree in a mathematical variant.It expresses the earthquake resistant ability of the buildings.Research of damage index is of significance in the earthquake damage prediction before earthquake and the estimation of earthquake losses after the earthquake.In this paper,the authors collected,analyzed and processed the detailed materials of the estimation of earthquake losses which occurred between 2001 and 2004.Based on this,the authors then calculated the Mean Damage Index of each type of buildings at every investigation point.The relationship between the mean damage index of each type of buildings and the mean damage index of brick buildings was obtained,which may be helpful for the estimation of earthquake losses on field and after the earthquake.