Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogeography and species distribution modelling reveal the effects of the Pleistocene ice ages on an intertidal limpet from the south‐eastern Pacific

The distribution and genetic composition of marine populations is the result of climatic and oceanographic factors as well as life history strategies. Studying species with wide distributions and high dispersal potential in sites that were differentially affected during the Pleistocene glaciations provides an opportunity to evaluate the genetic and distributional effect of glaciations on marine populations, such as the limpet Siphonaria lesonii. The aim of the present study is to evaluate the differential effects of glaciations on areas covered and not covered by ice sheets during the Pleistocene glaciations.
Pollination biology of three Brazilian species of Micranthocereus Backeb. (Cereeae, Cactoideae) endemic to the “Campos rupestres”

Summary: The genus Micranthocereus includes nine endemic Brazilian species distributed in the states of Bahia, Minas Gerais, Goiás and Tocantins. In the present study the floral biology of M. flaviflorus, M. streckeri and M. purpureus from “campo rupestre” vegetation of the Chapada Diamantina, Bahia, was investigated. Data on floral morphology and nectar production (concentration and volume) were collected throughout anthesis. Flowers of all species are tubular and present coloured perianth-segments. Nectar is accumulated within a nectar-chamber, located inside the floral tube. Flowers of M. flaviflorus and M. streckeri are predominantly nocturnal, opening in the night (at about 7 p.m.). Each flower lasts c.36 hours, with a concentration of sugar in the nectar between approximately 18–24%. Both species present floral features typical for ornithophily, and were pollinated by the hummingbird Chlorostilbon aureoventris, whose visits occurred in regular intervals and were characterized by territorialist behaviour. Species of bees and butterflies were also observed visiting flowers of M. flaviflorus and M. streckeri. M. streckeri was additionally visited by the hummingbird Phaethornis squalidus, mainly in the afternoon. Flowers of M. purpureus are nocturnal, and each flower lasts c.17 hours and present longer corollas with wider diameter than those of the other two species studied; sugar concentration in the nectar was about 21–22%. Three sphingid and one bat species were observed visiting flowers of M. purpureus, with a greater frequency of visits of the sphingids. Pollen viability was high (80–90%) and similar between the three species of Micranthocereus studied.
Census survey approach to quantifying īnanga spawning habitat for conservation and management

ABSTRACT Here, we describe a methodology for quantifying the spawning habitat of īnanga (Galaxias maculatus), a protected native fish species. Our approach is demonstrated with a survey of the Heathcote/Ōpāwaho following the Canterbury earthquakes that produced unexpected findings. Spawning habitat was detected over a 2.5 km reach and the area occupied by spawning sites (75m2) was much larger than in previous records (ca. 21m2). Sites dominated by the invasive Phalaris arundinaceae were found to support high egg numbers. Spawning has not previously been recorded on this species and it is identified in the literature as a threat to spawning habitat. Considerable spatio-temporal variation was also detected in the location of spawning sites and pattern of egg production. Together, these aspects illustrate the need for a comprehensive survey methodology to reliably quantify spawning habitat. The Heathcote/Ōpāwaho example shows the utility of our census approach for achieving this, and supporting habitat conservation objectives.
The role of organizational structure and deviant status in employees’ reactions to and acceptance of workplace deviance

Purpose This study aims to examine the role of deviant status (lower vs higher rank) and organizational structure (vertical vs horizontal) on individuals’ responses to workplace deviance. Design/methodology/approach Two studies (N = 472) were designed to examine the role of deviant status and organizational structure in responses to workplace deviance. Study 1 (N = 272) manipulated deviant status and organizational structure. Study 2 (N = 200) also manipulated deviant status but focused on participants’ subjective evaluations of the organizational structure of their workplace. Findings Study 1 found that participants reported lower job satisfaction and organizational commitment, and higher turnover intentions when they imagined being confronted with deviant behaviors displayed by a manager (vs by a subordinate), regardless of the type of organizational structure. Study 2 extended this finding by showing that the indirect effect of organizational structure (vertical vs horizontal) on turnover intention via job satisfaction and organizational commitment was moderated by deviant status: when the deviant’s status was higher, working in a vertical (vs horizontal) organization was associated with decreased job satisfaction and commitment, which, in turn, was associated with a higher level of turnover intentions. Originality/value The findings broaden our understanding of how individuals respond to deviance at the workplace, by simultaneously considering the effects of organizational structure (vertical vs horizontal) and deviant status (upward vs downward directions of deviance).
Growth responses of Abies spectabilis to climate variations along an elevational gradient in Langtang National Park in the central Himalaya, Nepal

ABSTRACT Studies on tree-growth responses to climatic variations in a subalpine ecoregion of the central Himalaya are limited. The Himalayan silver fir (Abies spectabilis (D. Don) Spach), a dominant tree species in subalpine forest on mesic north-facing slopes, was used to analyse the tree-growth‒climate relationship along an elevational gradient. Tree growth shows sensitive responses to both growing-season and non-growing season temperature and precipitation variability at all elevations. Temperature has a strong influence at the boundaries (highest and lowest elevation) of the forest range. The uppermost tree-limit boundary is strongly associated with summer temperature, and the lowest forest boundary with winter temperature. Autumn temperatures (November, prior to growth year) influence tree growth regardless of elevation. Premonsoon precipitation has a significant influence on growth only at intermediate elevations. As the study describes the response pattern from only a mesic area, more studies covering a range of climate regimes are required to see whether there is a clear pattern of species-specific growth responses to climate variables along an elevational gradient.
Graph Matching Applied For Textured Pattern Recognition

This paper addresses the detection of noisy structures in the context of infrared microscopy using labeled undirected graph matching. The selection of robust features as labels is determinant in this case of study, where hard conditions are dealt with: few relevant topological information, a potentially huge number of outliers and low contrasted images resulting in noisy graphs. Firstly, the image texture is reliably caught through a scale, rotation and intensity invariant histogram of oriented gradients. Secondly, in structures presenting numerous symmetries, the graph shape is locally registered while discriminated using weight from a super-increasing series. Coupled to the flexibility of the graph tensor product-based similarity metric, the matching framework achieves satisfying results.
The effect of optimizers in fingerprint classification model utilizing deep learning

Fingerprint is the most popular way to identify persons, it is assumed a unique identity, which enable us to return the record of specific person through his fingerprint, and could be useful in many applications; such as military applications, social applications, criminal applications… etc. In this paper, the study of a new model based deep learning is suggested. The focus is directed on how to enhance the training model with the increase of the testing accuracy by applying four scenarios and comparing among them. The effects of two dedicated optimizers are shown and their contrast enhancement is tested. The results prove that the testing accuracy is 85.61% for “Adadelta” optimizer, whereas for “Adam” optimizer, it is 91.73%.
Autonomous reconfiguration of homogeneous pivoting cube modular satellite by deep reinforcement learning

Modular satellite, which has the ability of self-repairing and accomplishing different tasks, draws more and more satellite designers’ attention recently. One of the trending topics is to design the algorithm of self-reconfigurable path planning, since searching a near-optimal path is an effective way to reduce electrical energy consumption and mechanical loss of satellites. A major thrust of this article is to examine a series of algorithms based on graph theory and deep reinforcement learning. We creatively propose the concept of link module and find the link module by calculating articulation points in the undirected connected graph of configuration. We propose a compressed algorithm of state transition and the deep reinforcement learning algorithms in the domain of self-reconfigurable modular satellites. The simulation results show the feasibility and effectiveness of the proposed planning algorithms.
The relationships between job satisfaction dimensions, organizational commitment and turnover intention: the moderating role of ethical climate in travel agencies

Abstract The most difficult part about ethical climate in the workplace is its outcomes on job satisfaction, organization commitment and turnover intention. The purpose of this paper is to investigate the moderating role of ethical climate between job satisfaction and organizational commitment on one hand and between job satisfaction and turnover intention on the other hand. This study surveyed 174 employees in travel agencies in Alexandria. The study detected the role of ethical climate between the three variables; job satisfaction, organization commitment and turnover intention. The results revealed that there is a positive relationship between job satisfaction and organizational commitment and a negative one between job satisfaction and turnover intention in the presence of ethical climate.
Different Perceptions of Belief: Predicting Household Solid Waste Separation Behavior of Urban and Rural Residents in China

An unprecedented Household Solid Waste (HSW) separation program was launched in 46 cities and some pilot rural areas in China in 2019. This study examines the antecedents of waste separation behavior using the extended theory of planned behavior (TPB) to identify beliefs that are useful targets for interventions, and compares the urban-rural differences. Based on interviews with rural and urban residents, we identified residents’ beliefs influencing waste separation behaviors, including four behavioral, seven normative, and eight control beliefs. Then, we tested the conceptual model with a two-stage questionnaire survey using a sample of 604 residents from urban and rural areas. Evidence from structural equation modeling supports the extended TPB in that it predicts waste separation intention and behavior on the whole. Moral norm and self-identity were found to independently predict intention and may prove a useful addition to the TPB; however, the path from attitude to intention is not supported in both urban and rural models. Moreover, the specific difference of belief between urban and rural residents was examined. The behavioral beliefs associated to money, including earning, free waste bin or bag, and fine, are significant only in the rural group. The normative beliefs of family, Chinese Communist Party (CCP) members, and government can affect residents’ subjective norm in both urban and rural, while the beliefs of relatives, friends, and neighbors are significant only in the rural group. Implications for managers of operating waste separation programs were discussed. Further investigation into the potential of the model to intervene in waste separation behavior is required.
Automation and Robotics in Forest Harvesting Operations

Technology development, in terms of both capability and cost-effective integration, is moving at a fast pace. While advanced robotic systems are already commonplace in controlled workspaces such as factories, the use of remote controlled or autonomous machines in more complex environments, such as for forest operations, is in its infancy. There is little doubt autonomous machinery will play an important role in forest operations in the future. Many machine functions already have the support of automation, and the implementation of remote control of the machine where an operator can operate a piece of equipment, typically in clear line-of sight, at least is commonly available. Teleoperation is where the operator works from a virtual environment with live video and audio feedback from the machine. Since teleoperation provides a similar operator experience to working in the machine, it is relatively easy for an operator to use teleoperation. Autonomous systems are defined by being able to perform certain functions without direct control of a human operator. This paper presents opportunities for remote control, teleoperated machines in forest operations and presents examples of existing developments and ideas from both forestry and other industries. It identified the extraction phase of harvesting as the most logical placement of autonomous machines in the near-term. The authors recognise that, as with all emerging technologies and sectors, there is ample scope for differences in opinions as to what will be commercially successful in the future.
Water depletion drives plant succession in farm ponds and overrides a legacy of continuous anthropogenic disturbance

Questions Abandonment of anthropogenic ecosystems threatens biodiversity in rural areas globally. Successional responses in anthropogenic ecosystems have been shown to differ from those in natural ecosystems because of the legacy of continuous management activities. However, few studies have focused on successional changes in anthropogenic freshwater ecosystems following abandonment. Focusing on two drivers (water depletion and cessation of anthropogenic disturbance), we tested whether water depletion plays a larger role than years since abandonment in determining the both plant functional diversity and composition in farm ponds. Location Awaji Island, western Japan. Methods We investigated flora at 200 farm ponds, which had experienced long-term continuous anthropogenic disturbance. We interviewed 100 managers of the surveyed ponds and local farmers to identify the ponds’ management status. To capture community processes during succession, we focused on functional richness and functional trait composition. We assessed the relative contribution of the two successional drivers in determining functional richness by adopting a linear model. We classified the survey ponds into five groups based on the two successional drivers and performed PERMANOVA to test differences in functional composition among the groups. Results Water depletion played a larger role than elapsed time since cessation of anthropogenic disturbance in determining functional richness. Functional composition of water-depleted ponds significantly differed from that of managed ponds, regardless of years since abandonment. Conclusions Our results indicate that water depletion has a larger effect on successional changes in ponds than cessation of anthropogenic disturbance; that is, water depletion drives succession and overrides the legacy of continuous anthropogenic disturbance. The results suggest that, in freshwater ecosystems, the functional change in a community is greater in the transition from macrophytes to terrestrial plants than it is in the transition from stress-tolerant species to competitive species.
First record of upside-down jellyfish Cassiopea andromeda (Forskål, 1775) (Cnidaria: Scyphozoa: Rhizostomeae: Cassiopeidae) from Sri Lanka

The circumtropical upside-down jellyfish Cassiopea andromeda is native to the Indian region, but no scientific documentations are confirming its presence in Sri Lankan waters. Hence in this paper, the occurrence of C. andromeda in Sri Lankan waters is reported for the first time. Species identification was based on several specimens collected from shallow waters of north and east coasts of the country in 2017. The C. andromeda found from Sri Lanka is a mild stinger and so far there are no reports on severe health issues cause to fishers and tourists. Also, this species was identified as a potential ornamental species due to its gorgeous appearance with very high colour variation.
Comparative analysis of machine learning methods by the example of the problem of determining muon decay

The history of using machine learning algorithms to analyze statistical models is quite long. The development of computer technology has given these algorithms a new breath. Nowadays deep learning is mainstream and most popular area in machine learning. However, the authors believe that many researchers are trying to use deep learning methods beyond their applicability. This happens because of the widespread availability of software systems that implement deep learning algorithms, and the apparent simplicity of research. All this motivate the authors to compare deep learning algorithms and classical machine learning algorithms. The Large Hadron Collider experiment is chosen for this task, because the authors are familiar with this scientific field, and also because the experiment data is open source. The article compares various machine learning algorithms in relation to the problem of recognizing the decay reaction + + + at the Large Hadron Collider. The authors use open source implementations of machine learning algorithms. We compare algorithms with each other based on calculated metrics. As a result of the research, we can conclude that all the considered machine learning methods are quite comparable with each other (taking into account the selected metrics), while different methods have different areas of applicability.
Do facultative symbionts affect fitness of pea aphids in the sexual generation?

Many aphids carry one or more facultative symbiotic bacteria which can provide a variety of fitness benefits for their hosts. They have chiefly been investigated in asexually reproducing aphids, with studies of the sexual generation limited to investigation of transmission rates and the potential for sex ratio manipulation. The effects of two facultative symbionts on the mating success of pea aphids, Acyrthosiphon pisum Harris (Hemiptera: Aphididae, Macrosiphini), were investigated in a no‐choice experiment. We compared the fitness of aphids with natural infections of either Regiella insecticola Moran et al. or Hamiltonella defensa Moran et al. with that of aphids from genetically identical cured lines. Female fecundity was unaffected by the presence of facultative symbionts. However, females mated to males cured of H. defensa laid fewer eggs on average than females mated to males carrying H. defensa; in one case the percentage of melanized eggs (eggs that were either not fertilized or in which early death occurred) was also smaller with cured compared to naturally infected males. In addition, males with H. defensa suffered higher mortality during the experiment than cured males. Four of the aphid lines used also hosted Spiroplasma infections, a symbiont previously reported to cause male‐killing in pea aphids. Despite this, three of the Spiroplasma‐infected lines produced males, two at high numbers. We conclude that removing a natural symbiont infection may have a negative fitness effect on male aphids in some aphid clones, whereas sexual females from the same clones are largely unaffected.
Digital footprints (2005–2019): a systematic mapping of studies in education

ABSTRACT Digital footprints (DF) offer relevant information about educational activities and processes related to strategies of academic assessment, identification of skills and psychological traits of students, and permanence and dropout trends, etc. This study analyzes scientific evidence on the use of DF in education, and shows the results of a systematic mapping of literature carried out based on the analysis of documents published in the last fifteen years (2005–2019) in two databases: Scopus and Web of Science (WoS). Findings reveal that educational research on DF is focused on learning analytics, the study of digital presence and psychometric modeling. Likewise, the article reports on the scarce investigation of DF in Massive Open Online Courses (MOOCs) environments and highlights the multiple meanings of DF as an action and as a service, beyond the generalized conception of data. These findings suggest the importance of preparing educational institutions to implement DF use and management practices in order to favor processes that range from DF curation, to cognitive evaluation, digital equity, prediction of school success and/or failure, etc. Hence, DF meanings (data, action and service) could aid to generate proper administration and policy-making actions, placed at the service of all students and their educational communities.
Climate and environmental changes driving idiosyncratic shifts in the distribution of tropical and temperate worm reefs

An increasing number of studies have forecast the potential responses of marine life to future climate change. This study predicts how the distributional range of temperate and tropical worm reefs (WRs) might respond to climate and environmental changes (CECs). Compared with current distributions, the tested hypotheses were: (i) under a low CO2 concentration and active atmospheric carbon capturing scenario (RCP2.6), both tropical and temperate WRs will maintain their current distributions and face only slight multi-directional biogeographic changes along the century; and (ii) under a high CO2 concentration scenario (RCP8.5) WRs will shift toward higher latitudes, with marked changes for tropical species and slight changes for temperate species, specifically at the end of the 21st century. The hypotheses were tested using species distribution modelling, and exploratory statistical analyses were performed to tune model settings. Under scenario RCP2.6, in the middle of the century, areas of suitable habitat are predicted to slightly increase for the temperate WRs and conversely contract for tropical WRs. At the end of the century, multi-directional shifts without range retraction were predicted for both species, but tropical WRs showed major changes in their distribution. Under scenario RCP8.5 and throughout the century, multi-directional shifts increased the areas of suitable habitat for temperate WRs, whereas tropical WRs experienced shifts toward high latitudes and significant retraction at low latitudes. Results indicate that biogeographic range shifts are idiosyncratic for temperate and tropical WRs depending on the CECs scenarios considered.