Miracle-dz/UniFAR-FTUs huggingface dataset:
First report of wing dimorphism in the genus Orthomus (Coleoptera: Carabidae)

Summary Wing polymorphism has been reported for several carabid beetles. Traditionally, a great number of ecological and evolutionary studies have focused on this peculiarity, which has implications on dispersal power. Research based on Orthomus berytensis specimens from two sampling areas of Tenerife (Canary Islands, Spain) has shown that this species exhibits a wing dimorphism, instead of being brachypterous. This makes O. berytensis the first Orthomus wing dimorphic species to date. Statistical differences in macropterous percentage between both sexes and localities were found. Also, a sexual dimorphism in elytra length and width was found, both being higher in females.
Evaluation of EEG Activation Pattern on the Experience of Visual Perception in the Driving

SUMMARY The brain processes numerous information related to traf- ﬁc scenes for appropriate perception, judgment, and operation in vehicle driving. Here, the strategy for perception, judgment, and operation is indi- vidually di ﬀ erent for each driver, and this di ﬀ erence is thought to be arise from experience of driving. In the present work, we measure and ana- lyze human brain activity (EEG: Electroencephalogram) related to visual perception during vehicle driving to clarify the relationship between expe- rience of driving and brain activity. As a result, more experts generate α activities than beginners, and also conﬁrm that the β activities is reduced than beginners. These results ﬁrstly indicate that experience of driving is reﬂected into the activation pattern of EEG.
Carrier concentration variety over multisectoral boron-doped HPHT diamond

A set of multisectoral boron-doped diamond plates cut from a 10-ct high pressure high temperature single crystal was thoroughly studied. The plates’ morphologies were examined by atomic-force microscopy, it showed the average roughness of 5–10 nm. For electrical measurements, ohmic and rectifying platinum contacts were deposited by magnetron sputtering. Schottky diodes arrays were investigated by admittance spectroscopy; current-voltage (I–V) and capacitance-voltage (C–V) characteristics were obtained and analysed. Frequency dispersion of C–V characteristics was registered. Blue (111) and white (100) faces of samples showed a drastic difference in I–V and C–V behaviour. Mathematical processing of the obtained data was performed and the depth distributions of apparent charge carriers were obtained for all diodes. The registered concentration for the white sector is in the range (1–3)·1017 cm−3, and for the blue sector it is one order more. Charge carrier distribution over the sample surface was obtained and it showed a fine correlation with sectors’ colour and growth direction with appropriate discussion.
How does it ‘sound’? Audiences, broadcasters, and managers on visual radio in Israel

In recent years, radio broadcasts on social media have extended to visual radio broadcasts (e.g. Facebook Live) that support a continuous display of viewer comments in real time. Based on 65 semi-structured in-depth interviews, this study presents for the first time the perspectives of the main actors in the visual radio scene: viewers, broadcasters, and radio executives. Findings show that broadcasters generally believe that the recent visual changes to radio, forced by the changing media environment, have an adverse impact on the radiophonic medium. In contrast, radio executives, who set policies, believe that radio must maintain a presence in the visual, viral interactive online space. For viewers, visual radio meets diverse needs, generates enjoyment, and offers the added value of interactivity and enhanced sense of activity resulting from new access to ‘behind the scenes’ of radio broadcasts. This study demonstrates how the theory of technological determinism is reflected in practice, in the radiophonic medium’s adjustments to the features of the new era – visibility, lost anonymity through increased exposure, potential for viral dissemination, and real-time responsivity – despite the fact that these features are contrary to radio’s unique fundamental features. Despite this innovative turn, all actors – executives, broadcasters, and viewers – believe that radio broadcast consumption remains dominated by the traditional in-car audio format.
Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain

Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already widely used to working hand in hand, such as medicine, biology and information technology. Our dashboard is developed in R and is supported by the Shiny package to generate an attractive visualization tool: COVID-19 Spain automatically produces daily updates from official sources (Carlos III Research Institute and Ministry of Health, Consumer Affairs and Welfare) in cases, deaths, recovered, ICU admissions and accumulated daily incidence. In addition, it shows on a georeferenced map the evolution of active, new and accumulated cases by autonomous community allowing to travel in time from the origin to the last available day, which allows to visualize the expansion of infections and serves as a visual support for epidemiological studies.
The Reach Cage environment for wireless neural recordings during structured goal-directed behavior of unrestrained monkeys

Sensorimotor neuroscience with non-human primates usually mandates partial movement restraint to confine behavioral parameters and protect recording equipment. We present the Reach Cage and a versatile visuo-haptic interaction system (MaCaQuE) for investigating goal-directed whole-body movements of unrestrained monkeys. Two rhesus monkeys learned to conduct instructed reaches towards targets flexibly positioned in the cage. 3-D wrist movements were tracked in real time with video motion capture. We wirelessly recorded up to 127 broad-band neural signals at single unit resolution from three cortical sensorimotor areas. We demonstrate that repeated movements show small enough trial-to-trial variation to allow grouping of data for sufficient statistical power, and single neuron activity is selective for different reach movements. In conclusion, the Reach Cage in combination with wireless recordings allows correlating multi-channel neural dynamics with trained repetitive simpler movements, equivalent to conventional experiments, but also more complex goal-directed whole-body motor behaviors, like walk-and-reach movements.
Improving Automated Crisis Detection Via an Improved Understanding of Crisis Language: Linguistic Categories in Social Media Crises

By applying the Linguistic Category Model (LCM) in crisis communication, this study explores the potential of verb tracking on social media to examine how linguistic categories can elucidate the intentional and/or unintentional communication of crisis attribution frames. Through a content analysis, linguistic categories used in both media posts reporting three clusters of crisis and public comments on Facebook were examined. Results indicated that linguistic abstraction in both media post and public comments describing the crisis varied based on crisis cluster, suggesting that the level of linguistic abstraction reflected perceived attribution of responsibility through stability, locus and controllability. Language used to describe preventable crisis tend to be more abstract than those used to describe accidental and victim crisis. Findings of this study empirically tested the integration of LCM in crisis communication and implied potential application of LCM in building automated environmental scanning and crisis prediction systems.
A toolkit for tissue-specific protein degradation in C. elegans

Proteins essential for embryo production, cell division, and early embryonic events are frequently re-utilized later in embryogenesis, during organismal development, or in the adult. Examining protein function across these different biological contexts requires tissue-specific perturbation. Here, we describe a method that utilizes expression of a fusion between a GFP-targeting nanobody and SOCS-box containing ubiquitin ligase adaptor to target GFP tagged proteins for degradation. When combined with endogenous locus GFP tagging by CRISPR-Cas9 or rescue of a null mutant with a GFP fusion, this approach enables routine and efficient tissue-specific protein ablation. We show that this approach works in multiple tissues—the epidermis, intestine, body wall muscle, sensory neurons, and touch neurons—where it recapitulates expected loss-of-function mutant phenotypes. The transgene toolkit and the strain set described here will complement existing approaches to enable routine analysis of the tissue-specific roles of C. elegans proteins.
More-than-human perspectives in understanding embodied learning

The abilities to learn through embodied interactions with environments are biologically imprinted in humans and other species in order to preserve their survival. By combining data from studies on the experiential learn of young children and a foal (a new-born horse), this article shows how more-thanhumans learn through self-initiated actions, embodied intra-action with their environments and considerate choices of action. The article suggests that a justification of embodied learning as crucial for survival across species could motivate the deconstruction of dualisms between embodied and verbal, and between humans and other-than-humans, promoting a more holistic understanding of learning. In times of emerging ecological challenges, embodied forms of learning can cultivate ecological awareness and provide the conditions for education for ecological sustainability.
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully

Large-scale collaborative projects recently demonstrated that several key findings from the social-science literature could not be replicated successfully. Here, we assess the extent to which a finding’s replication success relates to its intuitive plausibility. Each of 27 high-profile social-science findings was evaluated by 233 people without a Ph.D. in psychology. Results showed that these laypeople predicted replication success with above-chance accuracy (i.e., 59%). In addition, when participants were informed about the strength of evidence from the original studies, this boosted their prediction performance to 67%. We discuss the prediction patterns and apply signal detection theory to disentangle detection ability from response bias. Our study suggests that laypeople’s predictions contain useful information for assessing the probability that a given finding will be replicated successfully.
PRELIMINARY SCREENING RESISTANCE OF Musa GERMPLASMS FOR BANANA BUNCHY TOP DISEASE IN PURWODADI BOTANIC GARDEN, PASURUAN, EAST JAWA

Banana Bunchy Top Disease (BBTD) caused by Banana Bunchy Top Virus (BBTV) is one of the most serious banana diseases, constraint and devastate to the local and regional banana production. Some of banana cultivars were more readily infected by the virus, but considering no cultivars is resistant. The incidences of BBTD and the type and severity symptoms in natural conditions without any artificial inoculation were recorded. The observations results on 2009 showed that 12.14% of the total accessions indicated positively infected BBTD. The BBTD incidences were increased rapidly about twofolds per year, 28.57% in October 2011 and 54.29% in October 2011. The spread and development of BBTD is optimum at humid, high rainfall intensity and temperatures, high soil fertility and also low light intensity or shaded. The latest monitoring on February 2012 (62.14%) comprises of 64 accessions were positively infected and 39 accessions were symptomless. Those symptomless accessions were initially indicated as tolerant banana cultivars to BBTD e.g. Pisang Kepok (BBB), Pisang Sobo (BBB), Pisang Bandung (ABB), Pisang Nangka (AAB), Pisang Candi (AAB) and Pisang Raja Marto (AAB). These preliminary results are in agreement with several previous studies indicated that genotypes with one or two B genomes tend to be more tolerant to BBTD. However several cultivars which known tend to BBTD tolerant are indicated susceptible to Blood Disease. Some cultivars also showing complication symptoms both BBTD and Blood Disease.
Interactions microbiennes et adaptations en milieu extrême : peptides antimicrobiens d’archées halophiles

Les archees halophiles sont des procaryotes vivant dans des conditions d’extreme salinite. Ces micro-organismes colonisent les environnements hypersalins et synthetisent des peptides antimicrobiens appeles halocines, qui pourraient leur conferer un avantage selectif sur leurs competiteurs. Parmi les peptides antimicrobiens d’archees halophiles decrits, on distingue l’halocine C8, initialement purifiee a partir de la souche halophile Natrinema sp. AS7092. Ce travail de these a permis de montrer que la production d’halocine C8 etait conservee chez plusieurs archees halophiles appartenant aux genres : Natrinema, Haloterrigena, Haloferax et Halobacterium. Une activite antimicrobienne associee des particules superieures a 100 kDa non infectieuses suggere que l’halocine C8 pourrait etre localisee dans des vesicules membranaires. Ce travail presente des resultats qui deboucheront sur une meilleure comprehension des competitions microbiennes dans les environnements hypersalins et du role ecologique des halocines.
Consistent-Resolution Network for 3D Hand Shape Estimation from a Single RGB Image

We propose a novel method for 3D hand shape estimation from a single RGB image. Most exiting methods leverage a deep network to extract a low-resolution representation to estimate 3D coordinates, which always leads to the loss of spatial information. In contrast, we present a Consistent-Resolution Network (CRNet) to extract the same resolution representation as the original image, thus preserve more details about spatial information. Specifically, we introduce the recent high-resolution network (HRNet) to generate high-resolution feature maps, which can attain high-resolution representation of the original image. Then, we design a deconvolution module to recover this map to the size of the original image. Therefore, we can directly leverage this feature to learn the precise 2D shape and the depth map, and transfer them into 3D coordinates in the camera space. Through extensive experiments on a large real-world dataset FreiHAND, we show that our proposed method can predict precise and suitable 3D hand shape from a monocular view.
Understanding the role of stress granules in the inner ear

The human ear undergoes stress constantly. Exposure to noise, drugs or ageing contribute to the irreversible loss of hair cells, resulting in hearing loss. To understand why we go deaf, it is important to understand how the ear responds to stress. Stress granules (SGs) are aggregates of mRNA and proteins that are formed during stress. The SG-pathway has been implicated in the cochlea’s response to aminoglycoside antibiotics, suggesting that SGs play an important role during ototoxicity. Dysregulation of SG-formation has also been linked to neurodegeneration, supporting the hypothesis that SGs play a critical role in cell survival. Here, the formation and regulation of SGs have been investigated in an inner ear context using a combination of inner ear-derived UB/OC-2 cells, cochlear explants and the in-vivo mouse cochlea. Cells were labelled for two SG-proteins, TIA-1 and Caprin-1, and polyA+ mRNA was detected within SGs using RNA-immuno-FISH. A novel quantification method was developed to characterise in detail the number and size of SGs upon two stress paradigms, heat shock and arsenite. PolyA+ mRNA was observed to aggregate within SGs following different types of stress, suggesting that SGs are involved in post transcriptional regulation of gene expression in the cochlea. Experiments in cochlear explants suggest that pharmacological induction of SGs promotes outer hair cell survival during aminoglycoside exposure. In addition, SG formation was observed in the in-vivo C57BL/6 cochlea during ageing, suggesting that SGs may be related to cochlear degeneration. Hsp70, previously shown to promote hair cell survival following ototoxicity has been associated with SGs in other systems. Here, Hsp70 expression was evaluated in OC 2 cells following different stressors and evidence suggests it to be a key regulator of SGs. Taken together, these data implicate the SG pathway with maintenance of auditory function as a potential therapeutic target for further investigation.
Potential use of sicilian landraces in biofortification of modern durum wheat varieties: Evaluation of caryopsis micronutrient concentrations

The selection process has caused modern durum wheat cultivars to achieve higher yields with different protein quality but also to have low micronutrient amounts. In order to evaluate the suitability of germplasm for the recovery of such nutrient content, macro- and microelements concentrations in twelve ancient Sicilian durum wheat landraces and in three modern cultivars were compared. According to the results, the substantial differences in macro- and micro-element concentrations between the two groups of wheat genotypes suggest ancient Sicilian landraces can effectively represent a suitable genetic material for biofortification plans of micronutrients in modern varieties.
Identity formation in music teacher education: The role of the curriculum

The purpose of this descriptive quantitative research was to examine undergraduate music teacher education curricula in the context of professional identity formation and in comparison with teacher education curricula in other subjects. Comprehensive course listings for undergraduate degree programs in music teacher education, mathematics teacher education, and English teacher education were gathered from the official course catalogs of 16 higher education institutions. These data were coded and analyzed to determine the amount of coursework in each program devoted to developing pedagogical skills, subject-area content knowledge, and other skills. Results indicated that while the amount of content-focused and pedagogy-focused courses was relatively balanced in English and mathematics teacher education programs, music teacher education programs devoted a significantly larger proportion of the curriculum to content-based courses. While scholars have called on music teacher educators to prioritize the development of a teacher identity in undergraduate music education students, current music teacher education curricula may not be aligned with these recommendations.
Evaluation of user concentration in ubiquitous and cognitive artificial intelligence‐assisted English online guiding system integrating face and eye movement detection

In recent years, artificial intelligence technology has made significant breakthroughs. Big data, cloud computing, speech recognition, deep learning, and so on have become new hot spots after the Internet of things. The rapid development of artificial intelligence technology promotes the innovation of foreign language teaching ideas and learning methods. The new ecology and new paradigm of foreign language guiding must be reconstructed. The biggest difference between the Internet of things and the Internet is that the Internet of things is directly connected with all kinds of sensors. It does not need people to input information through the keyboard but automatically obtain information and carry out automatic processing. The deep integration of smart classroom and English online teaching will help to promote the reform and innovation of English teaching and provide a new way for the development of English online teaching. In this paper, we analyze the fusion of face recognition technology and eye tracking system and analyze the user focus evaluation theory in the Internet of things environment. Based on the above technology, this paper proposes an online English teaching user focus evaluation system in the context of artificial intelligence.
Resident Sentiment toward a Dominant Tourist Market: Scale Development and Validation

Given the limitations in existing resident attitude research, a new concept of resident sentiment is proposed to describe local residents’ overall perceptions of and emotional dispositions toward a dominant tourist market, in which attitude is a constituent part and behavioral response is implied. To operationalize this higher-order latent concept, this study developed measurements for its five components (cognitive and affective attitudes, identification, and two collective mentalities) identified from an earlier exploratory study. An online survey received 1,000 usable responses from Hong Kong residents to validate this construct in a nomological network. The results not only indicate the reliability and validity of the refined scales, but also provide support for resident sentiment as a better indicator of residents’ behavioral responses than attitude. Resident sentiment has the potential for significant use in extending resident attitude studies by academics, as well as being a performance measure for practitioners seeking destination sustainability.
The complete mitochondrial genome of Electrona carlsbergi (Myctophiformes, Myctophidae) with phylogenetic consideration

Abstract The complete mitochondrial genome of Electrona carlsbergi was obtained, which was 18,282 bp in size and including 13 protein-coding genes, 2 ribosomal RNAs, 23 transfer RNAs and 1 control region. The overall nucleotide composition is 27.92% for A, 24.66% for T, 30.90% for C and 16.52% for G. Among 23 tRNA genes, 8 tRNAs were encoded on the L-strand. Further, the phylogenetic tree, which based on complete mtDNA sequences, revealed that the E. carlsbergi was genetically closest to species E. antarctica and Krefftichthys anderssoni. This study could provide a basic data for the studies on evolution for low temperature adaptability, stock evaluation and conservation genetics.
Near-Optimal Weather Routing by Using Improved A* Algorithm

With soaring oil prices worldwide, determining the most optimal routes for economical ship operation has become an important issue. Optimizing ship routes is economically important for ship operation, but it is also essential to meet the standards of environmental regulations recently imposed by the International Maritime Organization. For this purpose, various algorithms for determining ship routes have been developed to ensure the economical operation of ships via utilization of marine climate data and Automatic Identification System (AIS) data. However, such algorithms require a large amount of computational time and do not provide optimal routes because they do not consider practical operating conditions, such as weather and ocean conditions. In this study, an improved A* algorithm using AIS and weather data is proposed to overcome the limitation of the original A* algorithm, one of the most widely used path-finding algorithms. The improved A* algorithm uses an adaptive grid system that efficiently explores nodes according to map grid deformation by latitude. It finds economical routes by minimizing the estimated time of arrival generated by machine learning through 16-way node exploration. For verification of the proposed method, the original A* algorithm and improved A* algorithm were compared through a case study.