Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Scene Graph: Generation and Application

— Scene Graph is a data structure, which is mainly used to describe the objects, attributes and object relationships in a scene. Scene Graph is a deep representation of a scene, and is very conducive to many visual tasks, such as image retrieval, image/video captions, VQA, and even to image generation and speciﬁc relationship detection. At present, numbers of research works about scene graph are proposed, including the scene graph generation methods and the related applications. These proposed methods based on scene graph have great improvements in relative performances compared with the corresponding traditional methods, which also proves the effectiveness of scene graph in the visual understanding of a scene. Therefore, In this paper, we provide a systematic review of the existing techniques of scene graph generation and application, including not only the state-of-the arts but also those with latest trends. Particularly, we discuss the scene graph generation methods according to the inference models for visual relationship detection, and the applications of scene graph are stated according to the speciﬁc visual tasks. Finally, we point out several problems in the current scene graph generation methods, related applications and the future research directions of scene graph.
Psi locybe chuxiongensis , a new bluing species from subtropical China

A new bluing species of Psilocybe in sect. Caerulescentes is described from subtropical China. It is closely related to P. cubensis but can be differentiated by the lack of an annulus and the buff-yellow to yellowish brown, hemispheric to hemispheric-convex pileus without an umbo or papilla. Phylogenetic analyses of ITS, nrLSU and combined rpb2 - tef1 -α datasets using maximum parsimony and Bayesian inference also indicate its uniqueness. The relationship with P. cubensis is well-supported by molecular data with high support values in all three datasets. Psilocybe chu xiongensis sp. nov. is presented here with a description, photographs, and line drawings.
Activators of Airline Customers’ Sense of Moral Obligation to Engage in Pro-Social Behaviors: Impact of CSR in the Korean Marketplace

This study was designed to better comprehend airline customers’ purchase and pay intention formation by involving perceived airline corporate social responsibility (CSR), emotional factors, volitional factors, moral obligation, and brand involvement as key concepts. A survey methodology with quantitative data analysis was used. Our empirical results revealed that perceived CSR contributed to eliciting positive and negative emotions, brand attitude, and social norm. These variables significantly activated a sense of obligation to take pro-social actions. In addition, brand involvement acted as a significant moderator in the moral obligation and pay intention relationship. The adequateness of the higher-order structure of perceived CSR was verified.
Gaming roles versus gender roles in online gameplay

ABSTRACT The research presented here examines gender roles and differential experiences of men and women associated with gaming, a multi-billion-dollar industry (Entertainment Software Association, 2016). Using social role theory (Eagly, 1987) and role congruity theory (Diekman & Eagly, 2008) as theoretical frameworks, it is proposed that attitudes and beliefs related to traditional gender roles account for differences in the way that games are played and experienced by women compared to men. World of Warcraft (WoW), one of the most popular, best-selling computer games (Entertainment Software Association, 2016), was chosen to investigate gender roles in gaming. Using controlled observations of actual WoW gameplay, the current study (N = 229 observations) examined the amount of negative feedback player characters received from other online players based on the character’s gender and role type. Findings indicated that female characters playing in masculine roles did not receive more negative feedback than comparable male characters in masculine roles, counter to role congruity theory. However, female characters in feminine roles received significantly less negative feedback than female characters in masculine roles. Together, these results suggest that stereotypical gender roles have an impact on gameplay and future research needs to examine the explanatory factors behind this.
Effective Treatment of Acid Mine Drainage with Microbial Fuel Cells: An Emphasis on Typical Energy Substrates

Acid mine drainage (AMD), characterized by a high concentration of heavy metals, poses a threat to the ecosystem and human health. Bioelectrochemical system (BES) is a promising technology for the simultaneous treatment of organic wastewater and recovery of metal ions from AMD. Different kinds of organic wastewater usually contain different predominant organic chemicals. However, the effect of different energy substrates on AMD treatment and microbial communities of BES remains largely unknown. Here, results showed that different energy substrates (such as glucose, acetate, ethanol, or lactate) affected the startup, maximum voltage output, power density, coulombic efficiency, and microbial communities of the microbial fuel cell (MFC). Compared with the maximum voltage output (55 mV) obtained by glucose-fed-MFC, much higher maximum voltage output (187 to 212 mV) was achieved by MFCs fed individually with other energy substrates. Acetate-fed-MFC showed the highest power density (195.07 mW/m2), followed by lactate (98.63 mW/m2), ethanol (52.02 mW/m2), and glucose (3.23 mW/m2). Microbial community analysis indicated that the microbial communities of anodic electroactive biofilms changed with different energy substrates. The unclassified_f_Enterobacteriaceae (87.48%) was predominant in glucose-fed-MFC, while Geobacter species only accounted for 0.63%. The genera of Methanobrevibacter (23.70%), Burkholderia-Paraburkholderia (23.47%), and Geobacter (11.90%) were the major genera enriched in the ethanol-fed-MFC. Geobacter was most predominant in MFC enriched by lactate (45.28%) or acetate (49.72%). Results showed that the abundance of exoelectrogens Geobacter species correlated to electricity-generation capacities of electroactive biofilms. Electroactive biofilms enriched with acetate, lactate, or ethanol effectively recovered all Cu2+ ion (349 mg/L) of simulated AMD in a cathodic chamber within 53 h by reduction as Cu0 on the cathode. However, only 34.65% of the total Cu2+ ion was removed in glucose-fed-MFC by precipitation with anions and cations rather than Cu0 on the cathode.
Relationships in Gas Chromatography—Fourier Transform Infrared Spectroscopy—Comprehensive and Multilinear Analysis

Molecular spectroscopic detection techniques, such as Fourier transform infrared spectroscopy (FTIR), provides additional specificity for isomers where often mass spectrometry (MS) fails, due to similar fragmentation patterns. A hyphenated system of gas chromatography (GC) with FTIR via a light-pipe interface is reported in this study to explore a number of GC–FTIR analytical capabilities. Various compound classes were analyzed—aromatics, essential oils and oximes. Variation in chromatographic peak parameters due to the light-pipe was observed via sequentially-located flame ionization detection data. Unique FTIR spectra were observed for separated mixtures of essential oil isomers having similar mass spectra. Presentation of GC×FTIR allows a ‘comprehensive’-style experiment to be developed. This was used to obtain spectroscopic/separation profiles for interconverting oxime species with their individual spectra in the overlap region being displayed on a color contour plot. Partial least square regression provides multivariate quantitative analysis of co-eluting cresol isomers derived from GC–FTIR data. The model resulted in an R2 of 0.99. Prediction was obtained with R2 prediction value of 0.88 and RMSEP of 0.57, confirming the method’s suitability. This study explores the potential of GC–FTIR hyphenation and re-iterates its value to derive unambiguous and detailed molecular information which is complementary to MS.
Eurasian Gates: The Earliest Human Dispersals

This paper revises the current state of the debate about the earliest hominin dispersals out of Africa. First we review the archaeological evidence for the earliest occupation of Asia and Europe. Next we summarize the environmental parameters related to the earliest phases of human evolution--specifically, climatic implications for human adaptations andfaunal dispersals. We discuss which were the first hominins to leave Africa, and we propose the invention of technology as a fundamental step for the development of our genus, likely related to changes in subsistence and diet during the late Pliocene and early Pleistocene. From our point of view, hominins were able to generalize the use of technology, as well as to generate, integrate, and diffuse new information into their collective social behavior. We refer to this concept as "socialization. " Hence, technology and the socialization thereof became integral aspects of the ecological niche of hominins.
Significance of electrodermal activity response in children with autism spectrum disorder

The human Autonomic Nervous System (ANS) controls the body’s physiological responses such as heart rate, electrodermal activity, temperature, and pupil diameter. The physiological responses are increased in the presence of a stressing stimuli and this is a typical ANS response. However, in case of children with Autism Spectrum Disorder (ASD), they suffer from autonomic dysregulation as reported in past owing to their atypical ANS response. This study investigated the ANS response of children with ASD and compares it with the response of normal children. EDA response datasets of 35 children with ASD and 55 normal children were acquired with the help of E4 wristband at a sampling rate of 4Hz. The signals were preprocessed to remove artefacts and noise and later compared. Furthermore, an SVM classifier was also used to classify the EDA response signals of normal children and children with ASD. The obtained results highlight that the ANS response of children with ASD is atypical as their EDA response is blunt and shows no significant tonic and phasic changes in EDA levels in the presence of stressing stimuli. In addition to that, an accuracy of 75% was obtained using the LF kernel of SVM classifier. The study further unfolds the hypoactive sympathetic response of children with ASD during a stressing event. Furthermore, this will help in future to anticipate the emotional responses of children with ASD such as anger, happiness, and anxiety.
Boundary detection using unbiased sparseness-constrained colour-opponent response and superpixel contrast

: Boundaries play a crucial role in various image-based tasks, but many existing non-learning-based boundary detection methods underperform in recognising authentic boundaries from a complex background. In this study, the authors address this problem using the sparseness-constrained colour-opponent response and the superpixel contrast. First, building on the biologically inspired colour-opponency mechanism, the authors elaborate a method to compute the unbiased sparseness-constrained colour-opponent response. In this procedure, locations showing colour variations are enhanced, while the textural locations are preliminarily suppressed by the cue of local sparseness measure. Second, with the help of superpixel segmentation, the authors present an effective approach to obtain the superpixel contrast map. This approach helps to exploit the object shape information in suppressing textures. Consequently, the authors propose a non-learning-based method to detect boundaries in images, combining the unbiased sparseness-constrained colour-opponent response and the overall superpixel contrast map. Experiment results on widely adopted datasets manifest that the authors method outperforms most of the competing methods. In particular, compared with the state-of-the-art surround-modulation method, the proposed method obtains a comparable performance while consuming much less runtime.
Chromosomal Location of Wheat Quantitative Trait Loci Affecting Agronomic Performance of Seven Traits, Using Reciprocal Chromosome Substitutions

A major limitation to the genetic improvement of wheat (triticum aestivum L.) is the lack of information about quantitative trait loci (QTLs). The objective of this study was to determine the chromosomal locations of QTLs controlling grain yield and yield components, grain test weight, plant height, and anthesis date. Reciprocal sets of chromosome substitution lines in duplicate between two hard red winter wheat cultivars, Cheyenne (CNN) and Whichita (WI), were used to identify the chromosomes bearing QTLs (.)
Seed lipoxygenase products modulate Aspergillus mycotoxin biosynthesis

Oilseed crops are frequently subject to contamination by mycotoxins produced by Aspergillus spp. , particularly aflatoxin (AF) and to a lesser extent sterigmatocystin (ST). Several studies have suggested that metabolites generated from the plant lipoxygenase (LOX) pathway may either decrease or increase mycotoxin production by Aspergillus spp. We tested the possibility that the occurrence of seed LOX isozymes that produce distinct hydroperoxy fatty acids may account for these different effects on AF biosynthesis. For example, soybean LOX1 catalyzes the addition of O2 to the C13 position of linoleic and linolenic acids while maize embryo LOX catalyzes the addition of O2 to the C9 position. In vitro experiments showed that 13S-hydroperoxy fatty acids at concentrations of 10 and 100 μM repressed AF and ST pathway gene expression and significantly (P = 0.05) reduced AF and ST production in both A. parasiticus (AF producer) and A. nidulans (ST producer). Treatment with 1 μM 13S-hydroperoxy linoleic acid also si.
Post-Traumatic Stress Disorder in Children and Adolescents: Some Recent Research Findings

Childhood trauma can have a profound effect on development, with a lifelong impact on physical growth, psychological development, and mental health. This chapter provides a framework for adolescent health professionals to understand the impacts of traumatic stress on children and adolescents. This chapter mainly takes the Wenchuan Earthquake studies in China as an example, and reviews recent research findings on epidemiological characteristics of PTSD and related mental disorders, as well as on possible influencing factors and mechanisms for post-traumatic adaptation in children and adolescents. Important intervention strategies for PTSD in children and adolescents are introduced. Prospects for future research are also discussed.
Identification of object characteristics using the fusion sensor method in wireless sensor network environments

This paper contains an explanation of the research results to solve the problem of selecting the category of mangosteen fruit in a grading process using method image processing through geometry measurements of flat areas, color measurements, shape and texture characteristics. The aim is to implement the selection process through a grading machine to be able to sort two categories of mangosteen fruit based on the characteristics that are trained using the Linear Discriminant Analysis method. The proposed method is the use of four image sensors which are perpendicular to each other in the grading process line. Each sensor provides a decision on the group of objects it identifies, “accepted” if it meets all the requirements or “rejected” if one of the requirements is not met. The results of each sensor decision are sent to the sink node in the wireless sensor network environment to be jointly decided using the method of redundant cooperative sensor whether the objects identified together can be “accepted” or “rejected”. The results of grouping give an error rate of ± 9.8%. The biggest identification error comes from the measurement of colors caused by light noise.
Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment.
Understanding the User Behavior of Foursquare: A Data-Driven Study on a Global Scale

Being a leading online service providing both local search and social networking functions, Foursquare has attracted tens of millions of users all over the world. Understanding the user behavior of Foursquare is helpful to gain insights for location-based social networks (LBSNs). Most of the existing studies focus on a biased subset of users, which cannot give a representative view of the global user base. Meanwhile, although the user-generated content (UGC) is very important to reflect user behavior, most of the existing UGC studies of Foursquare are based on the check-ins. There is a lack of a thorough study on tips, the primary type of UGC on Foursquare. In this article, by crawling and analyzing the global social graph and all published tips, we conduct the first comprehensive user behavior study of all 60+ million Foursquare users around the world. We have made the following three main contributions. First, we have found several unique and undiscovered features of the Foursquare social graph on a global scale, including a moderate level of reciprocity, a small average clustering coefficient, a giant strongly connected component, and a significant community structure. Besides the singletons, most of the Foursquare users are weakly connected with each other. Second, we undertake a thorough investigation according to all published tips on Foursquare. We start from counting the numbers of tips published by different users and then look into the tip contents from the perspectives of tip venues, temporal patterns, and sentiment. Our results provide an informative picture of the tip publishing patterns of Foursquare users. Last but not least, as a practical scenario to help third-party application providers, we propose a supervised machine learning-based approach to predict whether a user is an influential by referring to the profile and UGC, instead of relying on the social connectivity information. Our data-driven evaluation demonstrates that our approach can reach a good prediction performance with an F1-score of 0.87 and an AUC value of 0.88. Our findings provide a systematic view of the behavior of Foursquare users and are constructive for different relevant entities, including LBSN service providers, Internet service providers, and third-party application providers.
Genetic Variation for Habitat Preference: Evidence and Explanations

Because adaptive shifts may often be initiated by evolutionary changes in behavior, it is of interest to determine the extent to which natural populations harbor genetic variation for ecologically important behaviors. Habitat preference is an especially significant behavior, because it determines the regime of natural selection acting on loci that affect adaptation to the environment. A survey of the literature reveals that genetic variation for habitat selection is common, especially in arthropods and mollusks, the groups that have been studied most frequently. Possible adaptive mechanisms by which this variation could be maintained within populations include a genetic correlation between density-independent fitness in a habitat and a preference for it; and soft selection, whereby density-dependent population regulation occurs independently in separate habitats. Several studies have documented a phenotypic correlation between preference and performance, but as yet, no such genetic correlations have been unequivocally demonstrated. We show theoretically that under hard selection, optimal habitat selection may often lower the probability of maintaining a polymorphism at a locus that affects adaptation to different habitats. Soft selection appears much more likely to promote variation for habitat preference. Mechanisms including resource competition and natural enemies whose numbers build up in a habitat-specific manner in response to host or prey density have the capacity to bring about selection favoring alleles whose carriers prefer relatively underused habitats. We believe that more progress in understanding the evolution of habitat preference will come from studies of these ecological mechanisms than from further demonstrations of the mere existence of genetic variation for such preferences.
Use of focal species in marine conservation and management: a review and critique

1. Focal species (i.e. indicators, keystones, umbrellas, and flagships) have been advocated for the management and conservation of natural environments. 2. The assumption has been that the presence or abundance of a focal species is a means to understanding the composition and/or state of the more complex community. 3. We review the characteristics of focal species, and evaluate their appropriateness and utility judged against conservation objectives. 4. It appears that indicator species (of both composition and condition) may be of greatest general utility, and that several types of focal species may exhibit useful indicator properties. Copyright © 2001 John Wiley & Sons, Ltd.