This article reports on a study where 2D TMDs (MoS₂ and WS₂) and the 3D allotrope of carbon and graphite were incorporated into acrylonitrile butadiene styrene (ABS) and polyethylene terephthalate glycol (PETG) matrices in order to form polymer matrix composites (PMCs). The multipronged analysis described in this study was motivated by the purpose to fuse together topics of low-cost, additive manufacturing with 2D layered materials, and studying their ensuing mechanical and tribological properties.

Article determines Abraham model L solute descriptors for 174 additional mono-methyl branched alkanes based on published linear-programmed gas chromatographic retention indices.

Article studying the influence of microwave signals of different shapes on the magnetoacoustic wave system with a giant nonlinearity in canted antiferromagnet FeBO₃ at room temperature, which is close to its phase transition to the paramagnetic state. Results represent the first observation of the macroscopic quantum statistical phenomenon, Bose-Einstein condensation of magnetoacoustic wave quanta in a wave system with a high level of thermal fluctuations.

Authors of the article systematically investigated how the membrane charge populations affect permselectivity by decoupling their effects from the impact of the pore structure using a multivariate strategy for constructing covalent-organic-framework membranes. The complex interplay between pore-pore interactions in response to charge variations for ion transport across the upscaled nanoporous membranes helps explain the obtained results. This study has far-reaching implications for the rational design of ionic membranes to augment energy extraction rather than intuitively focusing on achieving high densities.

Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia through a systematic literature review of 19 peer reviewed articles from five databases. The findings indicated that cancer in general, epilepsy, and systemic diseases altogether are areas currently getting big attention. The challenges are attributed to the nature of health data, failure in collaboration for data sharing, ethical and legal issues, interoperability of systems, poor knowledge skills and culture, and poor infrastructure. Development of modern technologies, experimental technologies and methods, cloud computing, Internet of Things, social networks and Ethiopia’s government initiative to promote private technological firms could be an …

This presentation asserts that in Ethiopia, the BDA concept and its implementation are either not know or left insignificant. The aim of this study was to investigate the current trends, challenges and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia.

This article discusses the decision-making model (DMM), a paradigmatic instance of criticality, which deals with bounded rationality issues in a similar way as quantum probability (QP), generating choices that cannot be accounted by classical probability (CP). This work may contribute to considering criticality as another possible fundamental pillar in order to improve the understanding of cognition and of quantum mechanics.

Article integrating ecophysiological information with the development of new high-resolution climatic layers for Antarctica, to better understand how the distribution of P. steinenii may respond to change over the next century under different IPCC climate change scenarios. The authors conclude that the species has the potential to expand its distribution to include parts of the west and east coasts of the Antarctic Peninsula and even coastal ice-free areas in parts of continental Antarctica. The authors also propose P. steinenii as an effective native sentinel and indicator species of climate change in the Antarctic.

This article formulates a within-subject Bayesian rate ratio effect size (BRR) for autocorrelated count data that would obviate the need for small sample corrections. The authors illustrate this within-subject effect size using real data for an ABAB design and provide codes for practitioners who may want to compute BRR.

Paper offering an extended discourse on the full range of activities comprising the bibliographical maker movement, which in recent years has coalesced around the idea that maker culture may be employed to enhance our understanding of not only the history but also the future of the book.

Article describes how a fundamental question of the 21st century centers around the role and place of humans in their environment. The authors assert that this paper aimed to discover and manifest the connection and similarities between the philosophy of Thoreau and the ancient worldview of Taoism.

Article asserts that this research presents a novel and environmentally friendly approach for the synthesis of multifunctional nanobiocomposites for the efficient removal of toxic heavy metal and dye, as well as the disinfection of wastewater microorganisms. The synthesized bioinspired nanocomposite KAC-CS-AgNPs could be an innovative solution for effective and sustainable wastewater treatment and has great potential for commercial applications.

Article prepares and characterizes a small series of new [FeFe]-ase biomimics which contain a ferrocenyl diphosphine as a surrogate for the Fe₄S₄ moiety in the H-cluster of the enzyme. Mechanistic details of both proton reduction and H₂ oxidation have been studied by DFT allowing speculative reaction schemes to be developed.

Article describes how additively manufactured flexible and high-performance piezoelectric devices are highly desirable for sensing and energy harvesting of 3D conformal structures. This study reports a significantly enhanced piezoelectricity in polyvinylidene fluoride (PVDF) achieved through the in situ dipole alignment of PVDF within PVDF-2D molybdenum disulfide composite by 3D printing.

Article states that despite remarkable advances in cancer research, cancer remains one of the leading causes of death worldwide. The author's proposed framework for cancer diagnostics detects cancers and their tissues of origin using a unified model of cancers encompassing 33 cancers represented in The Cancer Genome Atlas. Their model exploits the learned features of different cancers reflected in the respective dysregulated epigenomes, holding a great promise in early cancer detection.

The presentation is about changing the landscape of scholarly communications. The presentation describes how using social justice lenses could promote OA and OER.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the panels and the panelists argue that open access to scholarly knowledge production should be the modus operandi in the time and age we live in. Open access to knowledge is critical not just to accelerate advances in finding solutions to societal issues, but also to meet the growing expectations around higher education institutions’ social responsibilities in times of uncertainties.

This article discusses closed-form expressions for the magnetic fields produced by rectangular- and circular-shaped finite-length solenoids and current loops. The closed-form expression for the magnetic field of a rectangular-shaped finite-length solenoid is derived using the Biot–Savart law. Closed-form expressions for the magnetic fields of solenoids and current loops can be used to avoid approximations in analytical models and may reduce computation time in computer simulations.

Authors of the article present a suite of high-resolution simulations of an isolated dwarf galaxy using four different hydrodynamical codes: Gizmo, Arepo, Gadget, and Ramses. They find reasonable agreement on the time-averaged star formation rates as well as the joint density–temperature distributions between all codes.

Article all-aluminum microchannel heat exchangers have recently gained popularity in the heating, ventilation, and air conditioning industry. Despite their attractive thermal performance design, these heat exchangers make coils used in automotive, commercial, and residential applications prone to crevice corrosion. This study uses high-fidelity conjugate heat transfer simulations to model a micro channel heat exchanger system that includes fins and tubes with crossflow to compare their thermal effectiveness to gain insight into potential crevice corrosion of the MCHE alloy.

This article presents density functional theory (DFT) research where nine different molecules, each with different combinations of A (triel) and E (divalent metal) elements, were reacted to effect methane C–H activation.

This is a correction to an article. The original article contained an error in author spelling, which has since been amended.

This article studies the corrosion and corrosion fatigue characteristics of LPBF 316L stainless steels (SS) in 3.5 wt.% NaCl solution using an electrochemical method, high cycle fatigue, and fatigue crack propagation testing.

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.