Estimating Left Ventricular Mass from the Electrocardiogram across the Spectrum of LV Mass from Normal to Increased LV Mass in an Older Age Group by Simon W. Rabkin, Jeremy C. J. Zhou

“…Twenty QRS voltage measurements or combinations were determined in a consecutive series of 159 adults with an ECG and echocardiogram without previous myocardial infarction, left or right bundle branch block, pre-excitation, or electronic pacemaker. Results. The four strongest and significant correlations between QRS and LV mass were S in V4, deepest S wave in any precordial lead plus S in V4, S in V3, and S in V3 plus R in AVL times QRS duration. …”
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Rethinking Advanced Driver Assistance System taxonomies: A framework and inventory of real-world safety performance by Ksander N de Winkel, Michiel Christoph

“…(DMS!) (−14%) had the strongest crash rate reduction effects, followed by AEB! …”
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Neural evidence of functional compensation for fluid intelligence in healthy ageing by Ethan Knights, Richard N Henson, Alexa Morcom, Daniel J Mitchell, Kamen A Tsvetanov

“…This constitutes some of the strongest evidence yet for functional compensation in healthy ageing, at least in this brain region during visual problem-solving.…”
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Genetic Association Analysis of Fasting and 1- and 2-Hour Glucose Tolerance Test Data Using a Generalized Index of Dissimilarity Measure for the Korean Population by Jaeyong Yee, Yongkang Kim, Taesung Park, Mira Park

“…Eight single-nucleotide polymorphisms (SNPs) that were found to have the strongest main effect are reported with the corresponding genes. …”
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Multi-scenario simulation and eco-environmental effect analysis of “Production–Living–Ecological space” based on PLUS model: A case study of Anyang City by Li Lei, Li Genming, Ji Guangxing, Li Qingsong, Zhang Zhihao, Chen Weiqiang

“…At the same time, the change in regional environmental quality is closely related to the change in agricultural land. (4) The regional ecological environment quality is the result of multi-factors, among which annual precipitation has the strongest explanatory power, and all factors show synergistic effects. …”
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Associates of Cardiopulmonary Arrest in the Perihemodialytic Period by Jennifer E. Flythe, Nien-Chen Li, Shu-Fang Lin, Steven M. Brunelli, Jeffrey Hymes, Eduardo Lacson

“…Of these, lower albumin, hemoglobin, and body mass index; higher erythropoietin stimulating agent dose; and greater missed sessions had the strongest associations with outcome. Patient health markers and procedural factors are associated with peridialytic cardiopulmonary arrest. …”
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The key roles of teammates, coaches, and instrumental support in adolescent sports participation: a one-year prospective study by Gwennyth E. Spruijtenburg, Femke van Abswoude, Sebastiaan W. J. Platvoet, Mark de Niet, Bert Steenbergen

“…Social support from teammates and coaches and instrumental support emerged as the strongest predictors of hours of participation. Additionally, we found that the relationships remained stable over time. …”
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Valley floor inclination affecting valley winds and transport of passive tracers in idealised simulations by J. Mikkola, A. Gohm, V. A. Sinclair, F. Bianchi

“…The flat-floored valley exhibits the strongest night-time down-valley winds overall, but surface-based down-valley winds are more prominent in inclined valleys. …”
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A Comprehensive Characterization of Different Fractions of Corn Stover and Their Relationships to Multipollutant Sorption Characteristics by Dan Peng, Fan Ouyang, Min Deng, Lei Nie, Sifang Kong

“…The results show that each component had a certain adsorption effect on typical organic pollutants (antibiotics, oils, and dyes). CSP had the strongest oil adsorption capacity, CSR was more suitable for adsorbing antibiotics, and CSL had outstanding adsorption capacity for dye. …”
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The Influence of Interfering Substances on the Antimicrobial Activity of Selected Quaternary Ammonium Compounds by Paula A. Araújo, Madalena Lemos, Filipe Mergulhão, Luís Melo, Manuel Simões

“…The tested surfactants were efficient against both bacteria (single and consortium) with minimum bactericidal concentrations ranging from 3 to 35 mg·L−1. The strongest effect was caused by humic acids that severely quenched antimicrobial action, increasing the minimum bactericidal concentration of the surfactants on P. fluorescens and the consortium. …”
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Does the Silver Nanoparticles Production Route Affect the Proliferation of Antibiotic Resistance in Soil Ecosystem? by Jana Sedlakova-Kadukova, Miroslava Sincak, Veronika Demčakova

“…Results and Discussion: Biologically synthesized AgNPs exhibited the strongest antimicrobial activity, significantly reducing bacterial populations within a day, and demonstrated minimal impacts on the development of antibiotic resistance in long-term. …”
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Determinants of Dyadic Relationship and Its Psychosocial Impact in Patients with Parkinson’s Disease and Their Spouses by Michaela Karlstedt, Seyed-Mohammad Fereshtehnejad, Dag Aarsland, Johan Lökk

“…PD-patients’ MS score (p=.001) and NMSQuest (p ≤ .001) were significant predictors of PDQ8. Strongest predictor of CB was PD-partners’ MS score (<.001) and IQCODE (p=.050). …”
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Role of Focusing Distance in Picosecond Laser-Induced Cu Plasma Spectra by Linyu Chen, Hu Deng, Zhixiang Wu, Zhonggang Xiong, Jin Guo, Quancheng Liu, Akwasi Danso Samuel, Liping Shang

“…Due to the shielding effects of mixed plasma, the strongest spectral intensity is achieved in the prefocused case, no matter how much beam irradiance is employed. …”
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Evaluating the adoption of agile project management practices in Chinese technology companies: Risk management implications by Lei Cheng

“…Nevertheless, wide differences in adoption and risk management practices were identified among different organizational roles: senior management and Scrum Masters displayed higher rates than some other roles. The strongest factor predicting risk mitigation practices in relation to individual characteristics was environmental factors, that were followed by organizational and cultural factors. …”
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Experimental Simulation of a Tennis Ball using Wind Tunnel by Cesar Almiro de Souza, Julio Cesar Costa Campos, Antonio Marcos de Oliveira Siqueira, Pedro Casanova Treto, Alvaro Messias Bigonha Tibiriça, Henrique Márcio Pereira Rosa, Rogério Fernandes Brito

“…The balls without fluff showed the strongest influence of the position of the seam, which characterizes the influence of this parameter. …”
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Design of Highly Adhesive Urchin‐Like Gold Nanostructures for Effective Topical Drug Administration and Symptomatic Relief of Corneal Dryness by Sandip Ghosh, Yun‐Han Su, Chia‐Jung Yang, Jui‐Yang Lai

“…The gold nanostructures with the most pronounced branch lengths exhibit the strongest cytoadhesion and bioadhesion capabilities, which significantly enhance the corneal retention of nano‐urchins by 150‐fold at 7 days post‐instillation compared with smooth‐surfaced gold nanoparticles. …”
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Spatiotemporal analysis of the impact of green finance on carbon dioxide emissions based on panel data of cities in China by Qiuyi Xu, Li Yao, Kaifang Shi, Wei Zhou, Xuguang Tang

“…Notably, green credit exhibits the strongest mitigation of carbon intensity in the eastern region, while green insurance demonstrates the highest impact in the western region. …”
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Unveiling the Multifaceted Driving Mechanism of Digital Transformation in the Construction Industry: A System Adaptation Perspective by Mengqi Yuan, Wenfei Zang, Long Li, Ziwei Yi

“…The influence of the technological dimension is the strongest, and the organizational dimension is the weakest. …”
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Methyl-Arginine Profile of Brain from Aged PINK1-KO+A53T-SNCA Mice Suggests Altered Mitochondrial Biogenesis by Georg Auburger, Suzana Gispert, Nadine Brehm

“…Now we studied brain hemispheres of DM mice at age of 18 months in a hypothesis-free approach, employing a quantitative label-free global proteomic mass spectrometry scan of posttranslational modifications focusing on methyl-arginine. The strongest effects were documented for the adhesion modulator CMAS, the mRNA decapping/deadenylation factor PATL1, and the synaptic plasticity mediator CRTC1/TORC1. …”
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Modeling Equatorial to Mid‐Latitudinal Global Night Time Ionospheric Plasma Irregularities Using Machine Learning by Ephrem Beshir Seba, Giovanni Lapenta

“…These findings emphasize the significance of these variables in controlling the strongest PI characteristics observed in the Atlantic sector, which has garnered considerable attention in PI research. …”
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