This article develops a spatial prioritization model based on accurate estimates of remotely-sensed data and maps of threats potentially affecting long-term species persistence to identify priority areas for the conservation of the Endangered Greek meadow viper Vipera graeca, a cold-adapted species inhabiting mountaintops in the Pindos Mountains of Greece and Albania.

Article exploring phonon dynamics in mechanically exfoliated two-dimensional WSe₂ using temperature-dependent and laser-power-dependent Raman and photoluminescence (PL) spectroscopy. The work reported sheds fundamental insights into the evolution of phonon dynamics in WSe₂ and should help pave the way for designing high-performance electronic, optoelectronic and thermoelectric devices in the future.

This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems are outlined. Finally, future research for massive MIMO systems for 5G and beyond is discussed.

This article presents a systematic literature review of papers published from 1960 to 2019 that illustrate hybrid simulation can be as effective as high fidelity simulators in certain training scenarios while at the same time providing a superior training context to enhance learners patient to care-giver interactions and to better immerse the trainee in the feelings and emotion of the scenario.

The article is a memorial to Wesley J. Thompson (1947-2019) and highlights his contributions to the studies of neuromuscular synapses and glial cells. Thompson graduated from North Texas State University (now University of North Texas) with Bachelor of Science and Master of Arts degree, and he went on to build a meaningful career that spanned the globe. He will be remembered not only as a great scientist but also as a great mentor and friend.

This paper focuses on how the University of North Texas (UNT) Libraries was able to develop a successful partnership with the UNT Office of Innovation and Commercialization (OIC) and move outside the Libraries’ normal sphere of influence to help create a patent internship program for students. The paper is published in the Texas Library Journal Special Edition for Summer 2020, and it was a contributed paper at the Texas Library Association 2020 Virtual Summer of Learning conference.

Article addressing if a new Bayesian framework can be introduced and ways to overcome subjectivity. The authors introduce a new method called Generalized Bayesian Dating (GBD) for inferring dates of language groups from lexical and phonological data. This work has implications for future performance testing in the area of linguistic dating.

Article demonstrates that using Field Environmental Philosophy (FEP) methodology, inconspicuous species can be made visible and their ecological, ethical, aesthetic, and economic values can be recognized by citizens.

Article is a study that aims to identify actionable clinical and culture characteristics of IVF treatment that influence blastocyst developmental rate, with the goal of acquiring optimal success.

This article is a review presenting examples of gene editing responsible for conferring both biotic and abiotic stresses in tomato simultaneously. The literature on using this powerful technology to improve fruit quality, yield, and nutritional aspects in tomato is highlighted.

This article identifies a bulk texture effect on elastic anisotropy in laser powder bed fused Ti6Al4V by employing an effective bulk modulus elastography technique coupled with ultrasound shear wave velocity measurement at a frequency of 20 MHz inside the material.

This article uses embryos and larvae of Atractosteus tropicus as a model to study fish survival, growth, and development as a function of temperature, salinity, and air saturation during developmental periods. Results suggest identifiable critical windows of development in the early ontogeny of A. tropicus and contribute to the knowledge of fish larval ecology and the interactions of individuals × stressors × time of exposure.

This article collected detailed primary data—the Elementary School Operating Status database (ESOS)—to measure the percentage of school districts offering in-person, remote, and hybrid instruction models for elementary schools by state in September 2020 to understand the nature and magnitude of school closures across states during the COVID-19 pandemic and its effect on maternal labor force participation. The article shows that schools are a vital source of care for young children, and that without in-person instruction, mothers have been sidelined from the labor force.

This article uses agent-based simulations in three “artificial societies” (one predominantly religious; one predominantly secular; and one in between), to demonstrate that worldview pluralism within one’s neighborhood and family social networks can be a significant predictor of religious (dis)affiliation but in pluralistic societies worldview diversity is less important and, instead, people move toward worldview neutrality.

This article applies learning analytics to design a smart collaborative educational game to enhance primary school children's learning of English vocabulary. The findings of this study can help researchers and practitioners incorporate LA in their educational games to help students enhance language acquisition.

This article shows a connection between spin Hall effect and HOTIs using a combination of ab initio calculations and tight-binding modeling. The model demonstrates how a non-zero bulk midgap spin Hall conductivity (SHC) emerges within the HOTI phase. This work guides novel experimental and theoretical advances towards higher-order topological insulator realization and applications.

This article varies the surface anchoring strength and achieves a uniform lying helical structure with long-range order as thermodynamically stable state without any external support in Chiral nematic liquid crystals (CLCs).

Article studying twistoptics for manipulating optical properties in twisted moiré photonic patterns without physical rotations. The presented approach can lead toward the study of twistoptics for the manipulating of optical properties in moiré patterns with different twist angles.

This article identifies discriminant metabolites between a resistant (R) and a susceptible (S) sugarcane variety at the early stages of pathogen colonization (30 and 120 days after inoculation—DAI) by untargeted and targeted metabolomics of leaves and xylem sap using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). The data represent a valuable resource of potential biomarkers for metabolite-assisted selection of resistant varieties to RS.

This article is guided by Lubans et al.'s conceptual framework and examines the longitudinal relationships of physical activity (PA) motivation with leisure-time PA and depressive symptoms among college students over one academic year. The findings suggest sex-specified motivational intervention strategies and PA promotion programs/opportunities are needed to reduce depression symptoms among college students over time.

This article adds to the growing body of research in meeting science, explored from a library perspective. The authors investigate the predictors of success for productive meetings, librarian perceptions of effective meeting leadership, and best practices for meeting leadership.

This article presents the governing equations and analytical solutions of the classical and shear deformation theories of functionally graded axisymmetric circular plates.

This article combines machine learning (ML), finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. It also provides a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.

Article states that though adult psychopathic traits emerge from both genetic and environmental risk, no studies have examined etiologic associations between adult psychopathic traits and experiences of parenting in childhood, or the extent to which parenting practices may impact the heritability of adult psychopathic traits using a genetically-informed design. Utilizing a genetically-informed design, the authors found that both genetic and non-shared environmental factors contribute to the emergence of psychopathic traits.