Miracle-dz/UniFAR-FTUs huggingface dataset:
As relações filogenéticas de Hyloxalus Jiménez de la Espada 1870 (Anura: Dendrobatidae)

With 63 species, Hyloxalus is the most speciose genus of the superfamily Dendrobatoidea, which comprises the neotropical poison-dart frogs and their relatives. Species of this genus inhabit diversity of environments from almost sea level to high-Andean ecosystems in Colombia, Ecuador, and Peru. The genus has several problems regarding its systematics and phylogeny. For example, unresolved taxonomy of species complexes, lack of the phenotypic synapomorphies for the genus, inconsistencies in the phylogenetic relationships between previous studies, underestimated phenotypic variation despite there are notorious morphological differences (e.g., small species without toe webbing and with lateral stripes, or large species with toe webbing and without lateral stripes), and a half of species (31 species) being assigned to the genus only tentatively. Moreover, progress about our knowledge about its diversity, phylogeny, and evolution is slow, which is evident when contrasting our knowledge of the group with other dendrobatoid genera (e.g., Allobates). Therefore, the present study evaluates the phylogenetic relationships of Hyloxalus and attempts to solve some of these problems, employing as evidence phenotypic characters of both adult and larvae as well as molecular DNA sequences. Accordingly, the morphology and anatomy of most species of this genus and several other dendrobatoids species were explored and assessed to search for independent variation. This variation was used to test characters and homology hypotheses previously formulated, and to propose new characters. Also, I generated molecular DNA data from five species that have never been sequenced before, and from additional populations of the other nominal species. All evidence was analyzed in a phylogenetic analysis together with the available phenotype and genotype data of
Communication channels in the 1980s: A paratheory

ABSTRACT By the 1980s, the standard sender-receiver communication model (borrowed from Shannon and Weaver) had largely fallen out of favor in disciplinary circles. Yet, at the same time that communication and rhetoric scholars were taking aim at sender-receiver models, a different conversation about communication was circulating in public spaces. Throughout the 1980s, the rise of both New Age channeling and Pentecostal practices of speaking in tongues was, in their own ways, also re-imagining the concept of communication and the traditional categories of senders, receivers, information, and messages. In this essay, I argue that channeling as a public phenomenon in the 1980s contributed to a lay theory—or paratheory—of communication that simultaneously worked against, alongside, and outside traditional communication models. Further, this para-normal paratheory continues to resonate in some of our most troubling contemporary public rhetoric.
Testis-Specific Isoform of Na+-K+ ATPase and Regulation of Bull Fertility

An advanced understanding of sperm function is relevant for evidence-based male fertility prediction and addressing male infertility. A standard breeding soundness evaluation (BSE) merely identifies gross abnormalities in bulls, whereas selection based on single nucleotide polymorphisms and genomic estimated breeding values overlooks sub-microscopic differences in sperm. Molecular tools are important for validating genomic selection and advancing knowledge on the regulation of male fertility at an interdisciplinary level. Therefore, research in this field is now focused on developing a combination of in vitro sperm function tests and identifying biomarkers such as sperm proteins with critical roles in fertility. The Na+-K+ ATPase is a ubiquitous transmembrane protein and its α4 isoform (ATP1A4) is exclusively expressed in germ cells and sperm. Furthermore, ATP1A4 is essential for male fertility, as it interacts with signaling molecules in both raft and non-raft fractions of the sperm plasma membrane to regulate capacitation-associated signaling, hyperactivation, sperm-oocyte interactions, and activation. Interestingly, ATP1A4 activity and expression increase during capacitation, challenging the widely accepted dogma of sperm translational quiescence. This review discusses the literature on the role of ATP1A4 during capacitation and fertilization events and its prospective use in improving male fertility prediction.
Force-Displacement Analysis in Diaphragm-Embedded Fiber Bragg Grating Sensors

This paper presented the force and displacement analyses of a diaphragm-embedded fiber Bragg grating (FBG) sensor. In the first step, a numerical analysis (via finite element method) was performed considering linear elastic materials, where there is a linear variation on the strain in the optical fiber for both displacement and force (or pressure). In the second step, the experimental analysis was performed using two approaches: (i) controlling the displacement applied in the diaphragm-embedded FBG (while the force is also measured). (ii) Controlling the force applied in the sensor (also with the measurement of the displacement). Results showed reflected optical power variations and wavelength shift following the application of displacement and force. The sensitivities of both wavelength shift and optical power were different (and non-proportional) when displacement and force were compared. However, a higher correlation, determination coefficient (R2) of 0.998, was obtained in the analysis of the wavelength shift as a function of the displacement, which indicated that the strain transmission in the optical fiber is directly related to the strain in the diaphragm, whereas the force has an indirect relation with the strain and depends on the material features. Then, the possibility of simultaneous estimation of force and displacement was investigated, where the linear relation of both parameters (displacement and force) with the wavelength shift and the optical power were obtained in a limited range of displacement and force. In this range, root mean squared errors of 0.37 N and 0.05 mm were obtained for force and displacement, respectively. In addition, the force variation with a step displacement input also shows the possibility of using the proposed FBG device for the characterization of the materials’ viscoelastic features such as phase delay, creep, and stress relaxation, which can be employed for in situ characterization of different viscoelastic materials.
Developmental Cues and Molecular Drivers in Myelinogenesis: Revisiting Early Life to Re-Evaluate the Integrity of CNS Myelin

The mammalian central nervous system (CNS) coordinates its communication through saltatory conduction, facilitated by myelin-forming oligodendrocytes (OLs). Despite the fact that neurogenesis from stem cell niches has caught the majority of attention in recent years, oligodendrogenesis and, more specifically, the molecular underpinnings behind OL-dependent myelinogenesis, remain largely unknown. In this comprehensive review, we determine the developmental cues and molecular drivers which regulate normal myelination both at the prenatal and postnatal periods. We have indexed the individual stages of myelinogenesis sequentially; from the initiation of oligodendrocyte precursor cells, including migration and proliferation, to first contact with the axon that enlists positive and negative regulators for myelination, until the ultimate maintenance of the axon ensheathment and myelin growth. Here, we highlight multiple developmental pathways that are key to successful myelin formation and define the molecular pathways that can potentially be targets for pharmacological interventions in a variety of neurological disorders that exhibit demyelination.
Editorial: Uncovering Drug Resistance During Cancer Therapy

Thoracic Surgery Branch, Center for Cancer Research, National Cancer Institute (NIH), Bethesda, MA, United States, Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China, Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen, Erlangen, Germany, Department of Radiation Oncology, Universitätsklinikum Erlangen, Erlangen, Germany, Comprehensive Cancer Center Erlangen-Europäische Metropolregion Nürnberg (EMN), Erlangen, Germany, AW Medical Co Ltd, Macao, Macao SAR, China
Music Listening Was an Emotional Resource and Social Surrogate for Older Adults During the COVID-19 Pandemic: A Qualitative Study

Abstract Loneliness and isolation worsen health and wellbeing have been exacerbated by COVID-19, and represent a significant concern for supporting older adults. Music listening has effects that could be particularly supportive during periods of isolation. The aim of this study is to examine older adults’ music listening behaviour during the COVID-19 pandemic and explore music's social and emotional impact in this context. Semi-structured interviews enhanced with music-elicitation were carried out remotely between May and June 2021. Participants were self-selected, community-dwelling older adults residing in Northern Ireland (N = 14; 6 males; 60–83 years). Most were living with their spouse or family, all were of White ethnicity and had varying levels of education. Data were analysed using reflexive thematic analysis. Two main themes were identified: (1) Music as an emotional resource and (2) Music as a social surrogate. Older adults had a preference for using music to induce positive feelings, and used music for negative affect regulation and consolation. Music acted as a social surrogate providing company, and reminders of social relationships and experiences. Music listening was a valued behaviour during COVID-19. Findings have implications for how music listening might be used as an accessible, low-resource tool for supporting isolated older adults.
From ion‐sensitive field‐effect transistor to 2D materials field‐effect‐transistor biosensors

Field-effect transistors have strong applications in biosensing field from pH and glucose monitoring to genomics, proteomics, cell signaling assays, and biomedical diagnostics in general. Notable advantages are the high sensitivity (thanks to intrinsic amplification), quick response (useful for real-time monitoring), suitability for miniaturization, and compact portable read-out systems. The initial concept of ion-sensitive field-effect transistors evolved with the emergence of novel classes of materials beyond traditional semiconductors. Recently, 2D nanomaterials are redesigning the field providing superior performances with large surface-to-volume ratio, high carrier mobility, more effective local gating, high transconductance, and operation at low voltages. Here, after a brief conceptual introduction, we review progresses and perspectives of 2D materials field-effect-transistor biosensors with special focus on opportunities, most recent applications, present challenges, and future perspectives.
Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection

Objective Measurement and monitoring of blood pressure are of great importance for preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore, there is a need for advanced artificial intelligence-based systolic and diastolic blood pressure systems with a new technological infrastructure with a noninvasive process. The study is aimed at determining the minimum ECG time required for calculating systolic and diastolic blood pressure based on the Electrocardiography (ECG) signal. Methodology. The study includes ECG recordings of five individuals taken from the IEEE database, measured during daily activity. For the study, each signal was divided into epochs of 2-4-6-8-10-12-14-16-18-20 seconds. Twenty-five features were extracted from each epoched signal. The dimension of the dataset was reduced by using Spearman's feature selection algorithm. Analysis based on metrics was carried out by applying machine learning algorithms to the obtained dataset. Gaussian process regression exponential (GPR) machine learning algorithm was preferred because it is easy to integrate into embedded systems. Results The MAPE estimation performance values for diastolic and systolic blood pressure values for 16-second epochs were 2.44 mmHg and 1.92 mmHg, respectively. Conclusion According to the study results, it is evaluated that systolic and diastolic blood pressure values can be calculated with a high-performance ratio with 16-second ECG signals.
Mean-variance asset-liability management under CIR interest rate and the family of 4/2 stochastic volatility models with derivative trading

This paper investigates the effects of derivative trading on the performance of asset-liability management in the presence of stochastic interest rate and stochastic volatility under the mean-variance criterion. Specifically, the asset-liability manager can invest not only in a money market account, a zero-coupon (rollover) bond, and a stock index but also in stock derivatives. It is assumed that the interest rate follows a Cox-Ingersoll-Ross (CIR) process, and the instantaneous variance of the stock index is governed by the family of 4/2 stochastic volatility models, which embraces the Heston model and 3/2 model, as particular cases. By solving a system of three backward stochastic differential equations, closed-form expressions for the optimal strategies and optimal value functions are derived in two cases: with and without the stock derivatives. Moreover, we consider the special cases without random liabilities. Numerical examples are provided to illustrate theoretical results and explore the effects of derivative trading on efficient frontiers.
Inner Source In Product Projects: A Multiple Case Study Within A Company

Background: Inner source is the concept of applying open source development practices in the context of a company. Reported benefits of using inner source include higher-quality software and more efficient reuse of software components. While the field of inner source research has explored the traits of inner source projects whose resulting software is to be used internally, research is lacking for inner source projects that have an external party as the end customer, which we call product projects. Aim: In this thesis, we identify three especially interesting aspects of using inner source to develop product projects: feature prioritization, license issues related to third party products, and how to market the inner source project inside the company. Method: We investigate how two large inner source projects at Ericsson handle these aspects of inner source by performing a multiple case study with semistructured interviews as the primary method of data collection and thematic analysis for data analysis. Results: Through analysis of the case study we identify key practices regarding the three aspects of inner source software development under study. Conclusions: Based on the results in this thesis, we outline directions for future research on the topic of inner source in product projects.
The Role of Family Ownership in Norm-Conforming Environmental Initiatives: Lessons from China

Drawing on institutional theory and property rights literature, this paper examines how different types of ownership adopt norm-conforming environmental practices in China. We propose that compared to governmental owners and institutional investors, which align themselves with the state and financial logics, respectively, family owners will adhere to a community logic, given their emphasis on socioemotional elements and property expropriation concerns. Thus, they are prone to norm-conforming environmental practices. Using a sample of 622 Chinese firms over six years, we find general support for the notion that ownership types are strongly associated with the adoption of norm-conforming environmental practices.
Observational Evidence for Multivariate Drought Hazard Amplifications Across Disparate Climate Regimes

Drought poses significant challenges to global water security in a warming world. A global‐scale synthesis of the multivariate drought risk considering interdependencies between drought attributes across disparate climate regimes is still lacking. Leveraging precipitation and streamflow observations of 270 large catchments over the globe, we show that multivariate drought hazard amplifies significantly (at ∼65–76% of catchments) considering dependence between drought duration and severity. A signifying nature of this amplification (A) is the power‐law scaling with dependence metric ( A∝τλ;λ=5−12; $A\propto {\tau }^{\lambda };\,\lambda =5-12;$ where τ and λ are Kendall's correlation and the scaling exponent), revealing current approaches considering drought attributes as independent or linearly dependent will severely underestimate likelihood of extreme droughts. Furthermore, we find disparate responses in the multivariate imprints of meteorological to hydrological droughts across climate types, with strengths varying from large to modest in Tropics and Mid‐latitudes, which indicates weaker overlap between rain‐deficit and streamflow droughts. In contrast, a strong overlap in multivariate hazards of rain‐deficit and streamflow droughts is apparent across transitional Subtropics. Our study highlights the relevance of accounting for multivariate aspects of drought hazards to inform adaptation to water scarcity in a changing climate.
Closed-Form Expression for Ground Return Admittance in Underground Cables

This letter presents a closed-form expression for ground return admittance for a system of underground cables. It is based on the approximation of the infinite integral found using a quasi-TEM (transverse electromagnetic) formulation of the electromagnetic field. The results indicate that the frequency behavior of the closed-form expression provides useful responses up to a few megahertz, thus being a suitable alternative to the numerically challenging infinite integrals. The agreement of the closed-form results and those obtained using the infinite integrals is very good regardless of the ground conductivity considered.
Lift Fans as Gyroscopes for Controlling Compact VTOL Air Vehicles: Overview and Development Status of Oblique Active Tilting (OAT)

This paper describes the method’s application to pitch control of dual-fan VTOL air vehicles and its ongoing development at Gress Aerospace. Illustrated schematically in Figure 1, lift-fan oblique active tilting (OAT) is used in our subscale prototypes with excellent results and, consequently, full scale is planned (Figure 2). Lift Fans as Gyroscopes for Controlling Compact VTOL Air Vehicles: Overview and Development Status of Oblique Active Tilting
Solar radiation nowcasting through advanced CNN model integrated with ResNet structure

Although a range of solar radiation forecasting methods have been developed for predicting photovoltaic generation, only a few of them focus on solar radiation forecasting for building energy demand. From the perspective of building performance modelling, solar radiation forecasting needs to meet several critical requirements including high spatial resolution (1m-2km) and high temporal resolution (5-60mins), the accurate value of Direct Normal Irradiance (DNI) and Diffuse Horizontal Irradiance (DHI), which differs the requirement for predicting photovoltaic generation. As the geometric sum of DNI and DHI, accurate prediction of Global Horizontal Irradiance (GHI) with high spatial-temporal resolution tends to be the prerequisite for precise prediction of DNI and DHI. This research aims to construct a hybrid nowcasting model to predict GHI in high spatial-temporal resolution. In this article, the authors adopt an advanced Convolutional Neural Network (CNN) model with Residual Neural Network (ResNet) structure to identify the cloud image information and predict the GHI at 10 minutes intervals merely using cloud images captured by a ground-based sky camera. On this basis, several ResNet structures are compared to achieve the optimal nowcasting model for GHI. The results present that the ResNet structure can efficiently capture the cloud information and the ResNet-152 achieves better performance than other alternative structures on the nowcasting of GHI. Finally, the authors discussed the calculation of synchronous DNI and DHI using the predictive GHI and Dirint model, and the application of DNI and DHI as the input for the simulation of building energy management.
Robust Controller Design for Two Wheeled Inverted Pendulum System

In this paper, the design of a robust controller for two wheeled inverted pendulum (TWIP) system is presented. In the first stage of the design, a full state feedback H2 control is designed for stabilizing the inclination of (TWIP) system to upright position. The H∞ controller for the stabilized system is synthesized in the second stage. The mathematical model of the system based on the Newtonian approach is developed. The results verify that the proposed controller can compensate the system parameter uncertainty with a more desirable time response specifications.
Differential Influence of General Anthropometric and Motor Predictors on Pre-planned Agility in Pubescent Boys and Girls: A Multiple Regression Study

In this study, we investigated the influence of balance, jumping power, and speed as well as morphological variables for three different agility tests in early pubescent boys (n=73) and girls (n=63). The predictors included body height and mass, body fat, high jumps, the overall stability index, ankle mobility, and a 10 and a 15 m sprint. The statistical analysis included calculations of correlations, regression models for the correlated variables, and the validation of the regression models. The calculated regression models for the male group explained 38% of the variance in a Zig-Zag test, 12% in a 20-yard test (20Y), and 81% in a T-test. The significant regression model for the Zig-Zag test included body mass, high jumps, and a 10 m sprint. The 20Y test had no predictors in the male group. For the T-test, the only predictor was the 10 m sprint. The calculated regression models for the female group explained 57% of the variance in the Zig-Zag test, 32% in the 20Y test, and 42% in the T-test. The significant regression model in the female group included only the 10 m sprint for all three agility criteria. The regression models were cross-validated using the second half of the sample (boys: n=36; girls: n=31). The correlation between the predicted and the achieved scores provided a statistically significant validation for all agility tests.
ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth

Monitoring the growth of bacterial cultures is one of the most common techniques in microbiology. This is usually achieved by using expensive and bulky spectrophotometric plate readers which periodically measure the optical density of bacterial cultures during the incubation period. In this study, we present a completely novel way of obtaining bacterial growth curves based on the classification of scanned images of cultures rather than using spectrophotometric measurements. We trained a deep learning model with images of bacterial broths contained in microplates, and we integrated it into a custom-made software application that triggers a flatbed scanner to timely capture images, automatically processes the images, and represents all growth curves. The developed tool, ScanGrow, is presented as a low-cost and high-throughput alternative to plate readers, and it only requires a computer connected to a flatbed scanner and equipped with our open-source ScanGrow application. In addition, this application also assists in the pre-processing of data to create and evaluate new models, having the potential to facilitate many routine microbiological techniques.