This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.

This article focuses on citation recommendation in the related studies section by applying the term function of a citation context, potentially improving the efficiency of writing a literature review. The citation recommendation strategy can be helpful for valuable citation discovery, semantic scientific retrieval, and automatic literature review generation.

This presentation explores the variation in interlinear-glossed text (IGT) in 5 closely related South-Central Tibeto-Burman languages with verb stem alternation, reduplicated adverbial modifiers, and pre-verbal directionals. While IGT is a rich representation of language, IGT for even closely related languages can look markedly different due to individual linguists’ divergent analyses. In comparing the discrepancies between representations of such features, we gain insight into the underlying analytic thinking of the annotator to reexamine and improve analyses.

This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.

This article is a study aimed at predicting and enhancing the properties of the blend, as well as exploring the mechanism, of a polylactic acid (PLA)/amorphous cellulose composite system through molecular characterization. The static properties of the amorphous cellulose/PLA blend model and the mechanical response of the material under uniaxial tension were studied by molecular dynamics simulation to establish the structure–property relationship.

Article presents POSMM, Python-Optimized Standard Markov Model classifier, which is a new incarnation of the Markov model approach to metagenomic sequence analysis. The authors claim that by combining POSMM with ultrafast classifiers such as Kraken2, their complementary strengths can be leveraged to produce higher overall accuracy in metagenomic sequence classification than by either as a standalone classifier. POSMM is a user-friendly and highly adaptable tool designed for broad use by the metagenome scientific community.

Article presents a reliable, scalable, and inexpensive technology for the fabrication of ordered arrays of metal nanoparticles with large areal coverage on various substrates. Using a simple model, the experimental results were interpreted and supported by numerical estimations.

Presentation on using a flipped course format and including an open textbook, OpenStax: Chemistry 2e. Flipped courses provide lecture content that is accessible online, and they use class time for active learning activities. It is a part of 2022 University of North Texas Open Access Symposium that was held on March 8, 2022.

Video recording of the 2022 University of North Texas Open Access Symposium held on March 8, 2022.

Presentation exploring leadership as a multi-directional relationship. It was presented at the 2023 Conference on Academic Library Management held June 5-9, 2023.

Article is a study determining whether ReN cells, a superior cell model system for studying neurodevelopment, differentiation, and neuroprotection, express proteins involved in canonical eCB NAE signaling and whether oxidative stress can induce their expression. This study is a first step toward determining how oxidative stress affects CB1, CB2, FAAH, NAAA, and NAPE-PLD expression and their potential defense against oxidative stress.

Article presents a case study of a 35 year-old Caucasian woman who experienced multiple vertebral fractures two months after her second pregnancy. The results suggest a potential role of heterozygous WNT1 variants in the pathogenesis of early-onset osteoporosis. The authors suggest that teriparatide is one of the most appropriate available therapies for such cases.

Article on deep-learning framework for edge intelligence EDL-EI (event-driven deep learning for edge intelligence). To verify the proposed framework, the authors include a case study of air-quality scenarios based for the most polluted cities in South Korea and China.

Article on the ion-exchange and associated interfacial reaction mechanisms of silicate glasses. This work reports findings that shed light on the complex ion-exchange mechanisms during glass hydration and enables more detailed understanding of the corrosion and glass-water interactions of silicate glasses which has the potential to impact both science and technology.

Article describes how complexes with closed-shell (d10–d10) interactions have been studied for their interesting luminescence properties in organic light-emitting diode (OLED) devices. The present computational study aims at understanding the chemical bonding/interactions in a series of molecules with unusually short metal–metal bond distances between monovalent coinage-metal (d10–d10) centres.

Article studying high light absorption in two devices: a stack of Au-pattern/insulator/Au-film and a stack of Au-pattern/weakly-absorbing-material/Au-film where the Au-pattern was structured in graded photonic super-crystal. Multiple-band absorption, including one near 1500 nm, in a stack of Au-pattern/spacer/Au-film was observed.

Presentation introduces the concepts of Flipped Instruction and Agile Project Management and discusses how those methodologies may be applied to student roles in library and digital humanities projects. It was presented at the Association of College and Research Libraries (ACRL) Together Wherever virtual event held on June 8-12, 2020.

Article conducting an intensive study on the problems of low recognition efficiency and noise in the overlapping structure of protein functional modules, based on topological characteristics of PPI network. Developing a protein function module recognition method ECTG based on Topological Features and Gene expression data for Protein Complex Identification. The experimental results show that the ECTG algorithm can detect protein functional modules better.

Video recording of the second webinar from the Oral History Forum. The theme of the webinar explores the relevant issues and concerns regarding creating and generating oral histories in a time of social and technological change.

This article is a study where the authors integrated the multi-omics datasets such as copy number aberration, DNA methylation, gene and microRNA expression to identify the signature microRNA-gene associations from frequently aberrated DNA regions across pan-cancer utilizing a LASSO-based regression approach.

Article presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL.

Proposes a fabrication method for making a lightweight, anisotropic, and compressible wood aerogel with aligned cellulose fibers by a simple chemical treatment.

This article explores determinants of behavioral intention toward sustainable apparel products (SAP). It examines both consumer characteristics (shopping values, consciousness of sustainability, perceived consumer effectiveness, and environmental knowledge) and marketing perspective (evaluation criteria of SAP) determinants for encouraging sustainable apparel consumption behaviors. Significant country differences emerge and validate that differentiated marketing strategies are required when targeting global consumers.

Article describing the strategic motivations and critical factors involved in the competition-based evolution of smart home ecosystems from early to growth phases, leading to a decision among the largest competitors to engage in coopetition.