Title
Topic
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‘Advanced Deposition Methods for Mixed Metal Alloys and Hydroxides as High-Performance Catalysts for the Hydrogen Evolution Reaction’
“Alkaline water and anion-exchange membrane electrolyzers are considered leading solutions for the large-scale production of hydrogen due to their lower capital costs. In recent years, numerous hydrogen evolution electrocatalysts have been developed, primarily by alloying nickel with other transition metals. Despite these advancements, stability remains a challenge due to the low intrinsic corrosion resistance of these alloys. In this work, we present an advanced synthesis method that incorporates an amorphous copper hydroxide phase within a nickel–copper alloy using a pH-trap mechanism.” Find the paper and full list of authors in ACS Catalysis.
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‘Foundations of Scalable Systems’
This textbook from Ian Gorton, professor of the practice and director of mobility programs, “covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively,” according to the publisher’s webpage. This can be crucial, because “scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage.”
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‘Time-Warping Analysis for Biological Signals: Methodology and Application’
“Any set of biological signals has variability, both in the temporal and spatial domains. To extract characteristic features of the ensemble, these spatiotemporal profiles are typically summarized by their mean and variance, often requiring prior padding or resampling of the data to equalize signal length. Such compression can conceal essential information in the signal. This work presents the method of time-warping, reformulated as elastic functional data analysis (EFDA), in an accessible way.” Find the paper and full list of authors in Scientific Reports.
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‘Higher-Order Connectomics of Human Brain Function Reveals Local Topological Signatures’
“Traditional models of human brain activity often represent it as a network of pairwise interactions between brain regions. Going beyond this limitation, recent approaches have been proposed to infer higher-order interactions from temporal brain signals involving three or more regions. However, to this day it remains unclear whether methods based on inferred higher-order interactions outperform traditional pairwise ones for the analysis of fMRI data. To address this question, we conducted a comprehensive analysis using fMRI time series of 100 unrelated subjects from the Human Connectome Project.” Find the paper and full list of authors in Nature Communications.
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‘Human Mobility Is Well Described by Closed-Form Gravity-Like Models Learned Automatically from Data’
“Modeling human mobility is critical to address questions in urban planning, sustainability, public health, and economic development. However, our understanding and ability to model flows between urban areas are still incomplete. … Here, we show that simple machine-learned, closed-form models of mobility can predict mobility flows as accurately as complex machine learning models, and extrapolate better.” Find the paper and full list of authors in Nature Communications.
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‘Data-Driven Techniques in Rheology: Developments, Challenges and Perspective’
“With the rapid development and adoption of different data-driven techniques in rheology, this review aims to reflect on the advent and growth of these frameworks, survey the state-of-the-art methods relevant to rheological applications, and explore potential future directions. We classify different machine learning (ML) methodologies into data-centric and physics-informed frameworks.” Find the paper and full list of authors in Current Opinion in Colloid & Interface Science.
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Cassella receives EFTF Young Scientist Award
“Electrical and computer engineering associate professor Cristian Cassella is the recipient of the European Frequency and Time Forum (EFTF) Young Scientist Award ‘for his seminal research on metamaterials in RF microacoustics as well as for his pioneering contributions on long-range remote sensors and lower-noise frequency generators through parametric nonlinearities.’ The award is conferred in recognition of a personal contribution that demonstrated a high degree of initiative and creativity and led to already established or easily foreseeable outstanding advances in the field of time and frequency metrology.”
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‘Epitaxial Strain Tuning of Er3+ in Ferroelectric Thin Films’
“ER3+ color centers are promising candidates for quantum science and technology due to their long electron and nuclear spin coherence times, as well as their desirable emission wavelength. By selecting host materials with suitable, controllable properties, we introduce new parameters that can be used to tailor the ER3+ emission spectrum.” Find the paper and full list of authors in the Journal of Applied Physics.
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‘Topological Data Analysis Based Characteristics of Electroencephalogram Signals in Children With Sleep Apnea’
“This study aims to identify differences in the functional neural connectivity of the brain of paediatric patients with obstructive sleep apnea. Using EEG signals from 3673 paediatric patients, we grouped subjects into OSA or control groups based on sleep oxygen desaturation levels and apnea-hypopnea index (AHI), and applied topological data analysis (TDA) techniques. We evaluated our approach through statistical testing of TDA-based EEG features, which indicate fundamental differences in the functional neural connectivity of subjects with sleep apnea as compared to controls.” Find the paper and full list of authors in the Journal of Sleep Research.
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‘3D spatial distribution of Sost mRNA and sclerostin protein expression in response to in vivo tibia loading in female mice’
“Bones adapt to external mechanical loads through a process known as mechanoadaptation. Osteocytes are the bone cells that sense the mechanical environment and initiate a biological response. Investigating the changes in osteocyte molecular expression following mechanical loading has been instrumental in characterizing the regulatory pathways involved in bone adaptation. … We used WISH-BONE (Whole-mount In Situ Histology of Bone) to investigate the spatial distribution of Sost-mRNA transcripts and its encoded protein, sclerostin, in 3D mouse tibia midshaft following in vivo tibia loading. Our findings showed a decrease in the percentage of Sost-positive osteocytes.” Find the paper and authors list in…
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Patent for ‘robotic aquaculture system and methods’
Professors Joseph Ayers, Mark Patterson, Jerome Hajjar, Milica Stojanovic and Amy Mueller were awarded a patent for “Robotic aquaculture system and methods.”
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Abur receives IEEE PES Charles Concordia Power Systems Engineering Award
Electrical and computer engineering university distinguished professor Ali Abur received the 2025 IEEE Power and Energy Society (PES) Charles Concordia Power Systems Engineering Award “for contributions to power system state and network model estimation.”
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‘Building the Future of Food Safety Technology’
Associate teaching professor Darin Detwiler presents a textbook that “focuses on evaluating, developing, testing and predicting Blockchain’s impact on the food industry, the types of regulatory compliance needed, and other topics important pertaining to consumers,” according to the publisher’s web page. “Building the Future of Food Safety Technology: Blockchain and Beyond” introduces blockchain to the topic of food safety, which “is being looked at more and more as a solution to food-supply problems.”
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‘Optics for Engineers’
Associate professor of electrical and computer engineer Charles DiMarzio “provides an accessible introduction to the fundamentals of geometric and physical optics as they relate to practical problems encountered by engineers and researchers” with his textbook “Optics for Engineers,” according to the publisher’s web page. In a new edition, DiMarzio “focuses on topics that are critical to understanding how the basic principles of optics affect design decisions.”
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‘Community Data: Creative Approaches to Empowering People With Information’
Assistant professor of journalism Rahul Bhargava’s book, “Community Data: Creative Approaches to Empowering People With Information,” aims to align data science “with good social outcomes, learning from the practices of newspapers, museums, community groups, artists, and libraries,” according to the book’s Amazon page. Bhargava’s book also “introduces a community-driven framework as a response to the urgent need to realign data theories and methods around justice and empowerment,” while expanding storytellers’ toolkits beyond “the limited vocabulary of surveys, spreadsheets, charts and graphs.”
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Cassella receives patent for improving RF filtering
“Electrical and computer engineering associate professor Cristian Cassella was awarded a patent for ‘Two dimensional rod resonator for RF filtering.'”
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‘Low dimensionality of Phenotypic Space as an Emergent Property of Coordinated Teams in Biological Regulatory Networks’
“Cell-fate decisions involve coordinated genome-wide expression changes, typically leading to a limited number of phenotypes. Although often modeled as simple toggle switches, these rather simplistic representations often disregard the complexity of regulatory networks governing these changes. Here, we unravel design principles underlying complex cell decision-making networks in multiple contexts.” Find the paper and full list of authors in Cell Press.
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‘Interlayer Dzyaloshinskii-Moriya Interactions Induced via Nonlinear Phononics in Bilayer van der Waals Materials’
“We theoretically study the impact of light-driven structural changes via nonlinear phononics on the magnetic order of untwisted bilayer van der Waals materials. We consider an illustrative example of the AA-stacked bilayer honeycomb lattice and show that high-intensity light in resonance with selected phonons induces large-amplitude phonon displacements that modify the magnetic Hamiltonian of the system. … We find that the structural changes in the strongly driven regime lower the symmetry relative to the equilibrium lattice and produce changes in the magnetic interactions between the local moments.” Find the paper and full list of authors in Physical Review B.
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‘Bundling Effect of Semiconductor-Enriched Single-Walled Carbon Nanotube Networks’
“Despite continual progress in creating semiconductor-enriched single-walled carbon nanotube (SWCNT) networks, significant challenges still remain in achieving electronically homogeneous channels for field-effect transistors (FETs) due to persisting metallic percolation and uncontrollable nanotube bundling. To address this critical issue, we systematically explored the bundling effect of the SWCNTs on the electrical characteristics of SWCNT network-based FETs.” Find the paper and full list of authors in Materials Science in Semiconductor Processing.
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‘Essentials of Education Policy: Processes and Possibilities for Educational Leaders’
Essentials of Education PolicyProcesses and Possibilities for Educational Leaders Teaching professor William Ewell has published “Essentials of Education Policy: Processes and Possibilities for Educational Leaders,” which “improves students’ and educational leaders’ understanding of the complex education policy system in the U.S.,” according to the publisher’s webpage. “Through an applied pedagogical approach that connects analytical concepts from public policy and education research to professional practice, the book offers academic content and applications for elementary, secondary, and postsecondary education leaders.” The book’s lessons are “grounded in pillars of policy studies.”
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‘Biochemical Characterization of Disease-Associated Variants of Human Ornithine Transcarbamylase’
“Human ornithine transcarbamylase deficiency (OTCD) is the most common ureagenesis disorder in the world. OTCD is an X-linked genetic deficiency in which patients experience hyperammonemia to varying degrees depending on the severity of the genetic mutation. More than two-thirds of the known mutations are caused by single nucleotide substitutions. In this paper, partial order optimum likelihood (POOL), a machine learning method, is used to analyze single nucleotide substitutions in OTC with varying disease phenotypes and predicted catalytic efficiencies.” Find the paper and full list of authors in ACS Chemical Biology.
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‘The Microbiome’s Influence on the Neurobiology of Opioid Addiction and Brain Connectivity’
“Opioids are the most effective and potent analgesics available for acute pain management. With no viable alternative for treating chronic or post operative pain, it is not surprising that over 10 million people misuse opioids. This study explores the developmental influence of the microbiome on resistance to opioid addictive behavior and functional connectivity.” Find the paper and full list of authors in Brain Research Bulletin.
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‘Antibiotic Pretreatment Inhibits White Band Disease Infection by Suppressing the Bacterial Pathobiome’
“Diseases have caused unprecedent mortality in Caribbean coral communities. White band disease (WBD) has killed up to 95% of all endangered Caribbean Acroporids since it was first observed in 1979. … To better understand the disease etiology of WBD, we pretreated corals with antibiotics to determine how prophylactic use of antibiotics impacts the transmission of WBD in a replicated tank-based experiment. We found the prophylactic use of antibiotics led to significantly reduced infection rates in disease exposed corals with a 30-percentage point decrease in the infection rate.” Find the paper and full list of authors in Frontiers in Marine Science.
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‘Root of Unity Quantum Cluster Algebras and Discriminants’
“We describe a connection between the subjects of cluster algebras, polynomial identity algebras, and discriminants. For this, we define the notion of root of unity quantum cluster algebras and prove that they are polynomial identity algebras. Inside each such algebra we construct a (large) canonical central subalgebra, which can be viewed as a far reaching generalization of the central subalgebras of big quantum groups constructed by De Concini, Kac, and Procesi and used in representation theory.” Find the paper and full list of authors in Journal of the London Mathematical Society.
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‘Getting out of South Carolina’s Juvenile Justice System’
Incarcerated juveniles in South Carolina often “receive fewer hours of education than they were getting prior to incarceration, if any. Getting out of South Carolina’s Juvenile Justice System highlights the importance of prevention and community programming, as well as preparation for the return to mainstream society. Through stories from juveniles, parents, judges, prosecutors and defense attorneys, author Kimberly Nolan addresses the issues within the juvenile justice system in South Carolina and offers ideas on how to support young offenders as they navigate both the transition to adulthood and community living.”