bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toward Silicon‐Matched Singlet Fission: Energy‐Level Modifications Through Steric Twisting of Organic Semiconductors
Authors: Lee Calvin J. , Sharma Ashish , Panjwani Naitik A. , Etchells Isaac M. , Gholizadeh Elham M. , White Jonathan M. , Shaw Paul E. , Burn Paul. L. , Behrends Jan , Rao Akshay , Jones David 
Published: October 2023

AbstractSinglet fission (SF) is a potential avenue for augmenting the performance of silicon photovoltaics, but the scarcity of SF materials energy‐matched to silicon represents a barrier to the commercial realization of this technology. In this work, a molecular engineering approach is described to increase the energy of the S1 and T1 energy levels of diketopyrrolopyrrole derivatives such that the energy‐level requirements for exothermic SF and energy‐transfer to silicon are met. Time‐resolved photoluminescence studies show that the silicon‐matched materials are SF active in the solid state, forming a correlated triplet pair 1(TT) – a crucial intermediate in the SF process – as observed through Herzberg‐Teller emission from 1(TT) at both 77 K and room temperature. Transient electron paramagnetic resonance studies show that the correlated triplet pair does not readily separate into the unbound triplets, which is a requirement for energy harvesting by silicon. The fact that the triplet pair do not separate into free triplets is attributed to the intermolecular crystal packing within the thin films. Nevertheless, these results demonstrate a promising route for energy‐tuning silicon‐matched SF materials.
Oxygen Vacancies Modified Bi4O5I2 for Sensitive and Stable Photoelectrochemical‐Type Photodetection
Authors: Zhao Guoxiao , Sun Zaichun , Mei Bingchu 
Published: October 2023

AbstractBismuth oxyiodides, like BiOI, Bi4O5I2 and Bi5O7I, are widely recognized as a kind of famous photocatalyst. However, there are only a few studies on the photoelectrochemical (PEC) applications of bismuth oxyiodides, due to the poor photoresponse and stability in aqueous medium. In this study, enhancing the PEC performance of Bi4O5I2 by introducing oxygen vacancies is attempted through a simple photo‐assisted method. Enhancement of the PEC performance of Bi4O5I2 is investigated from the perspective of transport of photogenerated carriers. Benefiting from the promising PEC performance, the as‐constructed photodetector exhibits high sensitivity and stability. This work presents a simple route to enhance the PEC performance of bismuth‐mixed anion compounds, which can be beneficial for the design of high‐performance PEC‐type devices toward energy conversion and photodetection.
Risk assessment of obesity‐related noncommunicable diseases through body mass index trajectories in adulthood: NHANES 2007–2018
Authors: dos Santos Pereira Débora Borges , dos Santos Iolanda Karla Santana , Vieira Pastorello Cláudia Cristina , da Silva Mazzeti Camila Medeiros , Queiroz Pereira Marlus Henrique , Amorim Sena Pereira Maria Luíza , de Oliveira Mariane Helen , Lisboa Conde Wolney 
Published: October 2023

AbstractAimTo assess the impact of adult body mass index (BMI) trajectories on the risk of obesity‐related noncommunicable diseases (NCDs) in the U.S. adults after adjustment for sociodemographic and lifestyle factors.MethodsData were extracted from the National Health and Nutrition Examination Survey conducted from 2007 to 2018, including male and female participants aged 29–59 years. Rao‐Scott adjusted chi‐square was employed to detect associations between categorical variables in descriptive analyses. Cox proportional hazards models estimated hazard ratios (HR) and 95% confidence intervals (CI) for NCDs and BMI trajectories, adjusted for sociodemographic and lifestyle factors. Kaplan–Meier curves illustrated the cumulative incidence over time.ResultsAnalyses were carried out on 15 721 participants and revealing significant differences among BMI trajectories in terms of demographic, lifestyle, and health characteristics. The overall prevalence of NCDs was 28.0% (95%CI:26.6–28.9). The cumulative incidence over time was higher in the high increase, moderate increase, and mixed trajectory groups, with a correspondingly higher cumulative risk (p < 0.001). Non‐overweight trajectory was considered reference category in Cox models. The BMI trajectories were independently associated with an increased risk of NCDs, even after adjusting for potential confounders (HR: 1.7; 95%CI: 1.4–1.9 for moderate increase; HR: 3.6; 95%CI: 3.2–4.1 for high increase; and HR: 2.4; 95%CI: 2.1–2.7, for mixed). Furthermore, differences between males and females were also observed.ConclusionThe transition to and persistence of obesity into adulthood increases the risk of NCDs. The implementation of targeted interventions with long‐term monitoring of BMI may be beneficial in the prevention of future obesity‐related NCDs.
No accelerated 20‐year hearing decline after occupational noise exposure has ceased: The HUNT study
Authors: Aarhus Lisa , Molaug Ina , Engdahl Bo 
Published: October 2023

AbstractObjectivesIt has been suggested that noise exposure can accelerate hearing decline after the noise exposure has ceased. We aimed to assess long‐term hearing decline in persons with and without prior occupational noise exposure.MethodsWe conducted a population‐based longitudinal study in Norway using the Trøndelag Health Study (HUNT) from 1996 to 1998 (baseline) and from 2017 to 2019 (follow‐up). The sample included 1648 participants with baseline age ≥55 years (42% men, mean age 60 years) and <5 years occupational noise exposure after baseline. We analyzed the association between occupational noise exposure before baseline and mean hearing decline between 1998 and 2018 (20‐year decline) at each frequency, adjusted for age, sex, education, and impulse noise exposure before baseline.ResultsOccupational noise exposure before baseline (N = 603) was associated with baseline hearing loss, but not with later accelerated 20‐year decline, at any frequency. Noise‐exposed persons had less subsequent 20‐year decline at 3 kHz than did nonexposed. Restricting the noise‐exposed group to persons who also had a baseline Coles notch (hearing thresholds at 3, 4, or 6 kHz of 10 dB or more compared with thresholds at 1 or 2 kHz and 6 or 8 kHz; N = 211), the exposed group showed less 20‐year decline at both 3 and 4 kHz, as well as less accelerated 20‐year decline at 8 kHz, compared with the nonexposed.ConclusionOur large long‐term longitudinal study shows no increased risk of continuing hearing decline after occupational noise exposure has ceased. The finding supports a conclusion that ear damage stops when the noise exposure is ended.
4‐OH‐TEMPO radical grafted onto a novel polyaromatic ether sulfone containing carboxyl side chains as solid catalyst for alcohol oxidation
Authors: Zhang Wenyu , Zhang Yu , Cai Weijie , Wang Dazhi , Zhang Shaoyin 
Published: October 2023

Abstract2,2,6,6‐Tetramethylpiperidinium‐nitroxide (TEMPO) is a mild and efficient catalyst, which is important in the industrial production of selective oxidation of alcohols to the corresponding aldehyde or ketone compounds. However, it is a challenge to recover the expensive TEMPO catalyst in homogeneous catalytic systems. In this study, a novel polymer‐supported catalyst was prepared using 4‐hydroxy‐2,2,6,6‐tetramethylpiperidin‐1‐oxy (4‐OH‐TEMPO) and polyaromatic ether sulfone (PAES). The successful grafting of 4‐OH‐TEMPO in PAES‐C was demonstrated by 1H nuclear magnetic resonance (1H NMR) and Fourier transform infrared (FT‐IR), load capacity can be calculated by elemental analysis (EA). BET and scanning electron microscopy (SEM) to depict the structure‐performance relationship. Herein, SEM images revealed the existence of porous structure. This structure can effectively adsorb NO molecules to form a PAES‐TEMPO/NOx catalytic system to selectively oxidize benzyl alcohol. The experimental results indicated the high activity, the subsequent benzyl alcohol oxidation cycle can reach more than 93% conversion without showing a large loss of selectivity. More importantly, the as‐prepared catalyst exhibited the attractive recyclability (recovery rate is 98%). After 10 consecutive runs, no significant loss of conversion and selectivity was observed (the conversion rate of benzyl alcohol was more than 93% and the selectivity was more than 95%). This study might provide some recommendation on the development of highly efficient catalysts for alcohol oxidation.
Evaluation of in vitro SARS‐CoV‐2 inactivation by a new quaternary ammonium compound: Bromiphen bromide
Authors: Strizzi Sergio , Cappelletti G. , Biasin M. , Artasensi Angelica , Fumagalli Laura , Casiraghi Antonella 
Published: October 2023

AbstractThe pneumonia (COVID‐19) outbreak caused by the novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which unpredictably exploded in late December of 2019 has stressed the importance of being able to control potential pathogens with the aim of limiting their spread. Although vaccines are well known as a powerful tool for ensuring public health and controlling the pandemic, disinfection and hygiene habits remain crucial to prevent infection from spreading and maintain the barrier, especially when the microorganism can persist and survive on textiles, surfaces, and medical devices. During the coronavirus disease pandemic, around half of the disinfectants authorized by the US Environmental Protection Agency contained quaternary ammonium compounds (QACs); their effectiveness had not been proven. Herein, the in vitro SARS‐CoV‐2 inactivation by p‐bromodomiphen bromide, namely bromiphen (BRO), a new, potent, and fast‐acting QAC is reported. This study demonstrates that BRO, with a dose as low as 0.02%, can completely inhibit SARS‐CoV‐2 replication in just 30 s. Its virucidal activity was 10‐ and 100‐fold more robust compared to other commercially available QACs, namely domiphen bromide and benzalkonium chloride. The critical micellar concentration and the molecular lipophilicity potential surface area support the relevance of the lipophilic nature of these molecules for their activity.
Edge‐centric functional network reveals new spatiotemporal biomarkers of early mild cognitive impairment
Authors: Wang Weiping , Du Ruiying , Wang Zhen , Luo Xiong , Zhao Haiyan , Luan Ping , Ouyang Jipeng , Liu Song 
Published: October 2023

AbstractMost neuroimaging studies of the pathogenesis of early mild cognitive impairment (EMCI) rely on a node‐centric network model, which only calculates correlations between brain regions. Considering the interaction of low‐order correlations between pairs of brain regions, we use an edge‐centric network model to study high‐order functional network correlations. Here, we compute edge time series (eTS) to obtain overlapping communities and study the relationship between subnetworks and communities in space. Then, based on the overlapping communities, we calculate the normalized entropy to measure the diversity of each node. Next, we compute the high‐amplitude co‐fluctuation of the eTS to explore the pattern of brain activity with temporal precision. Our results show that the normal control and EMCI patients differ in brain regions, subnetworks, and the whole brain. In particular, entropy values show a gradual decrease, and brain network co‐fluctuation increases with disease progression. Our study is the first to investigate the pathogenesis of EMCI from the perspective of spatiotemporal flexibility and cognitive diversity based on high‐order edge connectivity, further characterizing brain dynamics and providing new insights into the search for biomarkers of EMCI.
Differentiation and identification of enantiomers by nuclear magnetic resonance spectroscopy with support of quantum mechanical computations
Authors: Brzezicki Artur , Garbacz Piotr 
Published: October 2023

AbstractWe report nuclear magnetic resonance studies of two chiral building blocks of solifenacin, phenyltetrahydroisoquinoline and quinuclidinol, in which chiral solvating agents, Mosher's acid, and Pirkle's alcohol were used for spectral discrimination between enantiomers of solifenacin constituents. Based on the constraints following from measurements of the nuclear Overhauser effect, structures of phenyltetrahydroisoquinoline and Pirkle's alcohol solvates were found. Next, shifts of nuclear magnetic resonance signals of phenyltetrahydroisoquinoline due to the application of Pirkle's alcohol were computed using density functional theory methods. The computed carbon‐13 shifts reproduce those determined experimentally, allowing us to attribute the absolute configuration to phenyltetrahydroisoquinoline enantiomers without the need for the use of empirical rules.
Leveraging business failure to drive eco‐innovation adoption: An integrated conceptual framework
Authors: Amankwah‐Amoah Joseph 
Published: October 2023

AbstractDespite a growing body of research on business failure and eco‐innovation, these two streams of research have developed in isolation, thus lacking an organizing framework to account for how businesses can utilize peer companies' failures as a source of eco‐innovation. This study addresses this gap in the current literature by advancing an integrated conceptual framework that illuminates failure as a catalyst for learning and the mechanisms through which organizations can enhance their environmental innovation efforts and competitiveness. The study proposes a multidimensional 2 × 2 typology encompassing dimensions of process and product eco‐innovation, alongside two underlying factors of business failure. These factors further elucidate the mechanisms through which organizations can learn from others' failures, ultimately becoming more resilient and adaptable in the face of new challenges. The implications of this analysis for future research and practice will be further examined, shedding light on promising domains for learning from failure and fostering innovation.
Comparison of the nutrient composition of eggs produced in the Guatemalan highlands during the wet and dry seasons
Authors: Wallace Taylor C. , Montenegro‐Bethancourt Gabriela , Rohloff Peter , Jimenez Elizabeth Yakes , Proaño Gabriela V. , McCabe George P. , Steiber Alison , Ruosch Andrew , Laessig Ian , Ladwig Edward , You Hong 
Published: October 2023

AbstractThe potential of chicken eggs as a nutritionally complete protein and source of key micronutrients during the first 1000 days post‐conception has been progressively recognized across the globe, particularly in resource‐poor settings. Fluctuation of egg nutrient content by season is relatively unknown, which may influence international food composition databases and outcomes in intervention studies using egg supplementation. To better interpret the findings of The Saqmolo' Project, we conducted comprehensive nutrient analyses on eggs produced during the wet and dry seasons in the highlands of central Guatemala. We randomly collected 36 shell eggs from a local farm during both seasons, hard‐boiled, and prepared them for transport to the United States, where they were pooled and assessed for their nutrient composition. Methods of the Association of Official Analytical Chemists, the American Oil Chemists Society, and the American Association of Cereal Chemists were utilized to determine total energy, moisture, ash, total protein, total fat, fatty acids, total carbohydrates, 12 vitamins, 11 minerals, and carotenoids, by season, in some instances with modifications. Differences in nutrient composition between de‐shelled hard‐boiled eggs collected between seasons were assessed using an analysis of variance (ANOVA) and Tukey's family error rate comparison test. Most nutrients in eggs produced in the highlands of central Guatemala differed negligibly (but statistically significantly) based on seasonality. Only vitamins A and E, folate, choline, and calcium fluctuated at clinically significant levels relative to the AI/RDA for infants 7–12 months. Total energy, protein, trans fatty acids, moisture, and vitamin D3 levels did not differ between seasons (p > .05). Further multi‐year sampling is needed to examine how seasonal variation affects the nutrient composition of eggs. These data may be used to supplement existing national and regional food composition databases.
The effect of older population on public health spending: Evidence from Spain
Authors: Navarro‐García Carlos , Sarria‐Santamera Antonio 
Published: October 2023

AbstractBackgroundThe gradual ageing of the population, and its effect on public spending, constitutes an urgent challenge for advanced economies. Through this study, we analyse the effect of older people, and their health and individual characteristics, on public health spending.MethodsUsing logistic regression methods, we have analysed the use of different health services and health technologies by older people in Spain, controlled for several health, socioeconomic, and other individual factors.ResultsThe main factors that explain the consumption of both health services and health technology, above age, are related to the so‐called need factors: self‐reported health status, presence of chronic diseases, and disability.ConclusionKnowing the main factors that imply greater public health spending is a topic of special interest for designing efficient health policies, in a context of growth in public health spending. In this way, preventive attention on the so‐called need factors may be an important driver to improve the effectiveness of spending.
MetaSVs: A pipeline combining long and short reads for analysis and visualization of structural variants in metagenomes
Authors: Li Yuejuan , Cao Jiabao , Wang Jun 
Published: October 2023

AbstractStructural variants (SVs, including large‐scale insertions, deletions, inversions, and translocations) significantly impact the functions of genes in the microbial genome, and SVs in the microbiome are associated with diverse biological processes and human diseases. With the advancements in sequencing and bioinformatics technologies, increasingly, sequencing data and analysis tools are already being extensively utilized for microbiome SV analyses, leading to a higher demand for more dedicated SV analysis workflows. Moreover, due to the unique detection biases of various sequencing technologies, including short‐read sequencing (such as Illumina platforms) and long‐read sequencing (e.g., Oxford Nanopore and PacBio), SV discovery based on multiple platforms is necessary to comprehensively identify the wide variety of SVs. Here, we establish an integrated pipeline MetaSVs combining Nanopore long reads and Illumina short reads to analyze SVs in the microbial genomes from gut microbiome and further identify differential SVs that can be reflective of metabolic differences. Our pipeline provides researchers easy access to SVs and relevant metabolites in the microbial genomes without the requirement of specific technical expertise, which is particularly useful to researchers interested in metagenomic SVs but lacking sophisticated bioinformatic knowledge.
Weak‐type Fefferman–Stein inequality and commutators on weak Orlicz–Morrey spaces
Authors: Kawasumi Ryota 
Published: October 2023

AbstractWe consider the Fefferman–Stein inequality for weak Orlicz–Morrey spaces and the commutators and on weak Orlicz–Morrey spaces, where T is a Calderón–Zygmund operator, is a generalized fractional integral operator and b is a function in generalized Campanato spaces. We give a necessary and sufficient condition for the boundedness from of and from a weak Orlicz Morrey space to another weak Orlicz–Morrey space. We use the Fefferman–Stein inequality to prove the boundedness of the commutators. Since weak Orlicz–Morrey spaces contain the weak Lebesgue, weak Orlicz and weak Morrey spaces as special cases, our results contain the bounedness on these function spaces which are also new results.
Self‐adjointness for the MIT bag model on an unbounded cone
Authors: Cassano Biagio , Lotoreichik Vladimir 
Published: October 2023

AbstractWe consider the massless Dirac operator with the MIT bag boundary conditions on an unbounded three‐dimensional circular cone. For convex cones, we prove that this operator is self‐adjoint defined on four‐component ‐functions satisfying the MIT bag boundary conditions. The proof of this result relies on separation of variables and spectral estimates for one‐dimensional fiber Dirac‐type operators. Furthermore, we provide a numerical evidence for the self‐adjointness on the same domain also for non‐convex cones. Moreover, we prove a Hardy‐type inequality for such a Dirac operator on convex cones, which, in particular, yields stability of self‐adjointness under perturbations by a class of unbounded potentials. Further extensions of our results to Dirac operators with quantum dot boundary conditions are also discussed.
Growth performance of Rainbow Trout in reservoir tributaries and implications for steelhead growth potential above Skagit River dams
Authors: Jensen B. L. , Johnson R. C. , Duda J. J. , Ostberg C. O. , Code T. J. , Mclean J. H. , Stenberg K. D. , Larsen K. A. , Hoy M. S. , Beauchamp D. A. 
Published: October 2023

Abstract

Objective
In the Pacific Northwest (USA), Pacific salmon Oncorhynchus spp. populations have been declining significantly for decades, prompting stakeholders to respond with a variety of conservation and restoration measures. One such measure being considered in the Skagit River basin (Washington, USA) is the introduction of steelhead Oncorhynchus mykiss (anadromous Rainbow Trout) above the impassable Gorge, Diablo, and Ross dams to bolster their populations. Because freshwater growth is key to survival at subsequent life stages, we evaluated current trends in size and growth of Rainbow Trout among key tributaries to Gorge, Diablo, and Ross reservoirs using empirical data collection and bioenergetics modeling.

Methods
For nine candidate streams, a bioenergetics model was used to assess how temperature and prey consumption affected growth performance of Rainbow Trout between annuli 1 and 2, and 2 and 3. Thermal scenarios were created to evaluate how fish growth responded to temperature variability while total annual consumption was constrained within empirical growth estimates. We then compared these results to back-calculated size thresholds established by size-at-age observed in wild steelhead adults that returned to the Skagit River below the dams.

Result
Of the streams proposed for introductions, there was one instance (McMillan Creek) in the nominal simulations where growth met or exceeded the size at annulus 2 or 3 of a returning adult steelhead (24.9 g at annulus 2 and 50.3 g at annulus 3). Modeled growth under different thermal scenarios showed that colder temperatures (0.1–10.7°C, Canyon Creek) produced higher growth than under the nominal or warm scenarios (2.0–15.3°C, Canyon Creek), as well as one additional tributary where size at annulus 2 or 3 (±2 SE) was comparable to the threshold established by adult steelhead below the dams (Big Beaver Creek, annulus 3).

Conclusion
These results suggest Rainbow Trout growth is most limited by prey availability in the examined upper Skagit tributaries.