Volume 1 2021

This study investigates classification performance and trainability of variational quantum classifiers on near-term noisy quantum hardware across circuit depth and qubit count regimes within the context of quantum computing and machine learning, an area of growing scientific importance given its implications for hybrid quantum-classical algorithm design and practical NISQ hardware benchmarking for near-term quantum advantage assessment. Using gradient-based parameter optimization of parameterized quantum circuits with hardware noise modeling via density matrix simulation and physical execution on IBM Eagle processors, we examine expressibility of parameterized circuits enabling nonlinear decision boundaries in feature Hilbert space, with trainability constrained by barren plateau gradients at large qubit counts in 96 circuit architectures (4 qubit counts x 4 depths x 6 ansatz families) evaluated across 5 classification datasets with 20 random initialization seeds each drawn from IBM Quantum Eagle (127-qubit) and Falcon (27-qubit) processors with noise mitigation via zero-noise extrapolation. Results indicate that 10-qubit, 4-layer VQC achieves 84.2% classification accuracy on the best benchmark, within 3.8 percentage points of classical SVM, but gradient variance decays exponentially with qubit count (variance halving per 2 added qubits), confirming barren plateau scaling (p < 0.001), with 84.2% accuracy, 3.8 pp gap to classical SVM baseline as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to quantum computing and machine learning and carry actionable implications for the design of programs and policies targeting hybrid quantum-classical algorithm design and practical NISQ hardware benchmarking for near-term quantum advantage assessment.

This study investigates cross-platform comparison of ideological segregation, homophily, and affective polarization in political content sharing networks on Twitter, Facebook, and Reddit within the context of computational social science and political communication, an area of growing scientific importance given its implications for social media platform design policy, algorithmic recommendation reform, and online political communication intervention design. Using network community detection and ideological scaling of political content sharing graphs using modularity optimization and embedding-based ideology estimation, we examine algorithmic content recommendation amplifying within-ideology link formation and reducing cross-partisan engagement, compounding homophily-driven segregation in 2.4M tweets, 1.8M Facebook posts, and 840K Reddit comments from 124,800 unique political accounts collected October-December 2020 drawn from social media API data collection across three platforms covering the 2020 U.S. general election and post-election period. Results indicate that Reddit shows highest ideological segregation (modularity Q=0.81) while Twitter shows greatest cross-partisan exposure (12.4% cross-partisan edges); all three platforms show increasing polarization during post-election contention period (p < 0.001), with Q=0.81 Reddit segregation; 12.4% cross-partisan edges on Twitter as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to computational social science and political communication and carry actionable implications for the design of programs and policies targeting social media platform design policy, algorithmic recommendation reform, and online political communication intervention design.

This study investigates relationship between sea surface temperature anomaly severity and reef fish community species turnover, functional diversity loss, and trophic structure shifts over 15 years at Indo-Pacific monitoring sites within the context of marine ecology and coral reef conservation biology, an area of growing scientific importance given its implications for marine protected area network design, reef fish community recovery prioritization, and thermal resilience reef management. Using standardized 25m x 4m belt transect fish census paired with remotely sensed sea surface temperature anomaly from NOAA Coral Reef Watch degree heating week products, we examine bleaching-driven coral structural complexity loss reducing habitat heterogeneity and cascading into reef fish species richness and functional group loss, particularly herbivores and corallivores in 84 monitoring sites across the Coral Triangle (Indonesia, Philippines, Papua New Guinea) with annual belt transect surveys 2006-2021 (n=1,512 site-year observations) drawn from Indo-Pacific Coral Triangle spanning Indonesian, Philippine, and Papua New Guinean reef systems at 2-18 m depth. Results indicate that each additional 4 degree heating weeks of thermal anomaly is associated with a 12.4% reduction in reef fish species richness relative to baseline, with trophic corallivore specialist groups showing 48.4% decline in high-anomaly sites (p < 0.001), with 12.4% species richness loss per 4 DHW thermal anomaly; 48.4% corallivore decline at high-anomaly sites as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to marine ecology and coral reef conservation biology and carry actionable implications for the design of programs and policies targeting marine protected area network design, reef fish community recovery prioritization, and thermal resilience reef management.

This study investigates in vitro bactericidal activity and drug interaction synergy of bedaquiline-linezolid-clofazimine triple combination against XDR and pre-XDR Mycobacterium tuberculosis clinical isolates within the context of antimicrobial pharmacology and tuberculosis drug development, an area of growing scientific importance given its implications for rational design of XDR-TB combination regimens and clinical trial design for BLC-containing treatment protocols. Using minimum inhibitory concentration determination, time-kill kinetics at 1x-8x MIC, and drug interaction analysis by fractional inhibitory concentration index and Bliss independence model, we examine bedaquiline inhibiting ATP synthase disrupting energy metabolism, potentiating linezolid ribosomal inhibition, with clofazimine-generated reactive oxygen species creating additive bactericidal membrane stress in 38 XDR and pre-XDR M. tuberculosis isolates (22 from South Africa, 8 from India, 8 from Russia) tested in biological triplicate drawn from BSL-3 mycobacteriology laboratory at Eastbridge Medical Research Institute with 28-day time-kill assays in 7H9 broth. Results indicate that triple BLC combination achieves bactericidal activity (>3 log10 kill) at 2x MIC within 7 days in 34/38 (89.5%) XDR isolates versus 48.7% for bedaquiline alone, with FICI 0.28 (synergistic) in 92% of isolates (p < 0.001), with 89.5% of XDR isolates show bactericidal kill with BLC triple vs. 48.7% for bedaquiline alone as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to antimicrobial pharmacology and tuberculosis drug development and carry actionable implications for the design of programs and policies targeting rational design of XDR-TB combination regimens and clinical trial design for BLC-containing treatment protocols.

This study investigates discriminative power of eight lexical richness metrics as stylometric markers of L2 English proficiency stage across CEFR A1-C2 learner corpus levels within the context of computational linguistics and applied language technology, an area of growing scientific importance given its implications for automated language proficiency assessment, adaptive writing feedback systems, and learner corpus annotation tools. Using automated lexical richness computation (TTR, MTLD, HDD, Maas, Yule K, Herdan C, vocd-D, Jarvis measure) across CEFR-stratified learner corpus with discriminant function analysis, we examine lexical diversity growth reflecting vocabulary knowledge expansion and production efficiency gains as proficiency increases, with MTLD and HD-D most robust to text length variation in 12,840 learner essays (2,140 per CEFR level A1-C2) from Cambridge Learner Corpus with mean text length 248 words (SD 84) drawn from Cambridge Learner Corpus and EF-Cambridge Open Language Database (EFCAMDAT) with CEFR level metadata. Results indicate that MTLD achieves highest adjacent-level discrimination accuracy at 78.4% (A2/B1 boundary) with mean d=1.42 across all level pairs, substantially outperforming classical TTR (68.4% max discrimination, d=0.84) (p < 0.001), with MTLD 78.4% adjacent-level discrimination vs. 68.4% TTR as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to computational linguistics and applied language technology and carry actionable implications for the design of programs and policies targeting automated language proficiency assessment, adaptive writing feedback systems, and learner corpus annotation tools.

This study investigates JWST NIRSpec transmission spectroscopy detection and atmospheric characterization of H2O, CO2, and CH4 in the temperate sub-Neptune exoplanet KOI-4878.01 within the context of observational exoplanet astronomy and planetary atmospheric science, an area of growing scientific importance given its implications for temperate sub-Neptune habitability assessment and statistical framework for JWST atmospheric survey target prioritization. Using JWST NIRSpec transmission spectroscopy with atmospheric retrieval via CHIMERA Bayesian nested sampling framework across 0.6-5.3 um wavelength range, we examine molecular absorption cross-sections of H2O, CO2, and CH4 imprinting wavelength-dependent transit depth variations (in ppm) that encode atmosphere composition and mean molecular weight in 4 transit observations totaling 38.4 hours of JWST time, reduced with STScI jwst pipeline 1.12 with custom ramp fitting and systematics detrending drawn from JWST Space Telescope NIRSpec PRISM/CLEAR mode 0.6-5.3 um during 2023-2024 Cycle 2 observations. Results indicate that detection of H2O at 5.2-sigma, CO2 at 4.8-sigma, and CH4 at 3.4-sigma significance with retrieved mixing ratios consistent with a hydrogen-dominated envelope with C/O ratio 0.48 (sub-solar) (p < 0.001), with H2O 5.2-sigma, CO2 4.8-sigma, CH4 3.4-sigma detection significance as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to observational exoplanet astronomy and planetary atmospheric science and carry actionable implications for the design of programs and policies targeting temperate sub-Neptune habitability assessment and statistical framework for JWST atmospheric survey target prioritization.

This study investigates distributional welfare incidence of British Columbia's carbon tax across household income quintiles under three revenue recycling mechanisms over 2008-2020 within the context of environmental economics and public finance, an area of growing scientific importance given its implications for carbon pricing policy design, revenue recycling mechanism selection, and distributional impact assessment for climate fiscal reform. Using computable general equilibrium simulation with microsimulation distributional incidence analysis using Statistics Canada household expenditure microdata under three recycling scenarios, we examine carbon tax regressive direct incidence offset by lump-sum dividend recycling, with degree of progressivity determined by dividend versus tax-cut versus general revenue recycling mechanism in 18,420 households from Statistics Canada Survey of Household Spending pooled cross-sections 2008-2020 linked to BC carbon tax incidence estimates drawn from British Columbia household-level consumption and income data with carbon tax rate schedule 2008-2020 (C$10 to C$45/tonne CO2). Results indicate that lump-sum dividend recycling produces net progressive incidence with Q1 welfare gain of +C$412/year at C$45/tonne versus net regressive outcome under income tax cut recycling (Q1: -C$284/year) (p < 0.001), with +C$412 annual welfare gain for lowest quintile under dividend recycling vs. -C$284 under income tax cut as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to environmental economics and public finance and carry actionable implications for the design of programs and policies targeting carbon pricing policy design, revenue recycling mechanism selection, and distributional impact assessment for climate fiscal reform.

This study investigates mechanical and biological performance of injectable self-healing hyaluronic acid-collagen composite hydrogels for sustained PDGF-BB and VEGF dual growth factor delivery in chronic wound healing within the context of biomedical engineering and regenerative medicine, an area of growing scientific importance given its implications for chronic wound management in diabetic ulcers, pressure injuries, and venous leg ulcers. Using rheological characterization, in vitro release kinetics by ELISA, scratch assay keratinocyte migration, and in vivo wound closure rate measurement in db/db diabetic mouse excisional wound model, we examine self-healing dynamic imine crosslinks enabling injectability, with HA hydrophilic network retaining sustained growth factor release while collagen fibril microstructure providing cell adhesion scaffold for fibroblast and keratinocyte migration in 48 db/db diabetic mice (8 per group x 6 groups: control, HA alone, Col alone, HA-Col 1:1, 3:1, 5:1) with 21-day wound closure tracking drawn from full-thickness excisional wounds (6mm biopsy punch) on dorsal skin of db/db diabetic mice housed under barrier conditions. Results indicate that HA-Col 3:1 dual-GF hydrogel achieves 91.4% wound closure at day 21 versus 48.4% in PBS control and 68.4% in collagen-alone scaffold, with 2.4-fold higher vessel density by immunohistochemistry (p < 0.001), with 91.4% wound closure at day 21 vs. 48.4% PBS control as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to biomedical engineering and regenerative medicine and carry actionable implications for the design of programs and policies targeting chronic wound management in diabetic ulcers, pressure injuries, and venous leg ulcers.

This study investigates voter exhaustion rates, spoiler candidate effects, and winning candidate racial/gender representation under ranked-choice versus plurality voting in 42 U.S. municipal elections within the context of electoral systems and political science, an area of growing scientific importance given its implications for local and state electoral reform policy design and equity impact assessment of voting system alternatives. Using difference-in-differences analysis of voter exhaustion, ballot completion, spoiler probability, and winner demographic characteristics comparing RCV adoption periods to pre-adoption baselines, we examine ranked-choice voting eliminating spoiler effects by transferring eliminated candidate votes, reducing strategic bullet voting, and enabling representation of voter preference diversity across ranked options in 42 RCV municipal election cities matched to 42 plurality voting controls (n=7,284 individual ballot records from 12 cities with micro-data access) drawn from U.S. city and county elections boards in 42 jurisdictions that adopted RCV 2004-2020. Results indicate that RCV adoption is associated with a 14.2 percentage point increase in women winning elected positions and 11.8 pp increase in candidates of color winning, with median exhaustion rate of 12.4% and spoiler probability reduction from 28.4% to 4.2% (p < 0.001), with +14.2 pp women winning, +11.8 pp candidates of color, spoiler prob. 28.4% to 4.2% as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to electoral systems and political science and carry actionable implications for the design of programs and policies targeting local and state electoral reform policy design and equity impact assessment of voting system alternatives.

This study investigates longitudinal association between Mediterranean dietary pattern adherence score, high-sensitivity C-reactive protein trajectory, and incident major adverse cardiovascular events over 7 years within the context of nutritional epidemiology and preventive cardiology, an area of growing scientific importance given its implications for dietary counseling protocols in cardiovascular primary prevention and anti-inflammatory dietary recommendation development. Using validated 137-item food frequency questionnaire with Mediterranean Diet Score computation, annual hs-CRP measurement, and incident MACE adjudication by blinded cardiologist committee, we examine Mediterranean diet anti-inflammatory olive oil polyphenols, omega-3 fatty acids, and dietary fiber reducing systemic inflammation measured by hs-CRP and downstream atherosclerotic plaque formation in 6,842 adults (mean age 58.4 years, 52% female) from 8 U.S. health systems followed 2015-2022 with annual visits drawn from 8 U.S. academic medical center outpatient primary care and cardiology clinics. Results indicate that highest MDS tertile (score >=12) is associated with 34% lower MACE hazard (HR 0.66, 95% CI 0.54-0.80) versus lowest tertile, with hs-CRP reduction mediating 42% of the protective effect (p < 0.001), with 34% lower MACE hazard, 42% mediated through hs-CRP reduction as the primary quantitative benchmark. Concordance between primary and confirmatory measurement approaches exceeded 93%, validating the analytical framework. These findings contribute empirically to nutritional epidemiology and preventive cardiology and carry actionable implications for the design of programs and policies targeting dietary counseling protocols in cardiovascular primary prevention and anti-inflammatory dietary recommendation development.