bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversification inside a lamprophyric dyke and cone sheet complex converging onto a hidden carbonatite centre (Frederikshåbs Isblink, SW Greenland)
Authors: Klausen Martin Bromann , Frazenburg Madelaine R
Published: September 2024

Both radiating dykes and proximal cone sheets converge onto a positive aeromagnetic anomaly of an inferred carbonatitic centre, hidden beneath a retreating edge of the Frederikshåbs Isblink glacier. This convergence, together with sub-parallel incompatible element patterns by all intrusions, suggests a cogenetic relationship that warrants investigation into potential diversification processes. More primitive high- and low-Mg damtjernites, which for three dykes conform to more porphyritic dyke cores and aphyric margins, respectively, can be explained by high-Mg trends being controlled by the fractionation/accumulation of mainly augite and olivine (or other mafic phases), while discordant low-Mg trends require additional decoupled magnetite fractionation. It is proposed that each dyke intrusion tapped the differentiated top of a central magma chamber, occasionally followed by an unconsolidated mafic cumulate mush, excluding denser magnetites, with in situ flow segregation playing a subordinate additional role. Beyond the most differentiated damtjernite, more evolved phonolitic nephelinites to carbonaceous alnöites split into bulk rock geochemical T-trends that can only relate to late-stage segregations into magmas with varying proportions of interstitial igneous (not secondary) analcime and carbonate – collectively increasing in volume with differentiation. While the analcime component also appears to segregate more readily into veins and ocelli than carbonatite, it is speculated if such low viscosity, density and liquidus rest melts, inside igneous centres, more efficiently aggregated into voluminous, buoyant analcime caps above slightly denser carbonatites. Similar converging plumbing systems and diversification processes are proposed for other complexes, where kimberlitic parents were simply extracted from deeper mantle sources.
The association of solid fuel use in households for cooking with elevated blood pressure among reproductive-aged married women in Bangladesh
Authors: Khan Nuruzzaman , Islam Syful , Khan Mostaured Ali , Kabir Iqbal , Chowdhury Atika Rahman , Paul Diba , Ali Hazrat
Published: September 2024

Bangladesh is experiencing a rapid increase in hypertension prevalence, particularly in socio-economically disadvantaged communities. The higher use of solid fuel in these communities could be one of the significant factors contributing to this trend, but evidence supporting this hypothesis is limited in Bangladesh. Therefore, this study aims to investigate the associations of household solid fuel use and its exposure level with systolic and diastolic blood pressure (DBP) and hypertension. We analysed 7,320 women’s data from 2017/18 Bangladesh Demographic and Health Survey. We considered three outcome variables: (i) systolic blood pressure (BP) (continuous response), (ii) DBP (continuous response), and (iii) hypertension status (yes, no). Our primary exposures of interest were fuel type (clean vs solid) and the potential level of household air pollution exposure through solid fuel use (unexposed, moderately exposed, and highly exposed). We used a multilevel mixed-effects Poisson regression model with robust variance to determine association between exposure and outcome variables while adjusting for confounders. Of the total respondents analysed, approximately 82% used solid fuel for cooking. The age-standardised prevalence of hypertension was 28%. Respondents using solid fuel were found to be 1.44 times (95% confidence interval [CI], 1.04–1.89) more likely to develop hypertension compared to clean fuel users. Compared to women using clean fuel, the likelihood of hypertension was found to be 1.61 times (95% CI, 1.07–2.20) higher among the moderately exposed group and 1.80 times (95% CI, 1.27–2.32) higher among the highly exposed group. Similar associations were reported for systolic and DBP. The use of solid fuel increases the risk of becoming hypertensive and elevates systolic and DBP. Policies and programmes are necessary to increase awareness of the adverse effects of solid fuel use on health, including hypertension. Efforts should be made to reduce solid fuel use and ensure proper ventilation systems in households where solid fuel is used.
Early twentieth-century recordings in higher music education: a preliminary analysis of the students’ views
Authors: Zicari Massimo , Biasutti Michele
Published: September 2024

This article examines how classical music students understand early twentieth-century recordings in higher music education. A qualitative research method was chosen to investigate the beliefs and self-reported practices of 16 students enrolled in a European conservatoire, whose attitudes were considered through the administration of a semi-structured questionnaire and an interview. Their responses identified seven main themes: 1) beliefs, 2) sources, 3) self-reported practices, 4) repertoires/performers, 5) educational implications, 6) limits and 7) benefits.

Results show how much students value early twentieth-century recordings – especially when it comes to analysing the performance practices of the past and developing new interpretations – and how articulate their responses can be with regard to specific stylistic and technical issues. However, possibly due to informal learning strategies and the lack of curricular teaching activities focusing on listening to and analysing recorded interpretations, some responses highlighted a misrepresentation of our recent musical past and the need for a more structured curricular activity. This last should benefit from a vast body of scholarly literature whose relevance is still underestimated among music practitioners.
Generalised knotoids
Authors: ADAMS COLIN , ROMRELL ZACHARY , BONAT ALEXANDRA , CHANDE MAYA , CHEN JOYE , JIANG MAXWELL , SANTIAGO DANIEL , SHAPIRO BENJAMIN , WOODRUFF DORA
Published: September 2024

In 2010, Turaev introduced knotoids as a variation on knots that replaces the embedding of a circle with the embedding of a closed interval with two endpoints which here we call poles. We define generalised knotoids to allow arbitrarily many poles, intervals and circles, each pole corresponding to any number of interval endpoints, including zero. This theory subsumes a variety of other related topological objects and introduces some particularly interesting new cases. We explore various analogs of knotoid invariants, including height, index polynomials, bracket polynomials and hyperbolicity. We further generalise to knotoidal graphs, which are a natural extension of spatial graphs that allow both poles and vertices.
The Failure of Galois Descent for p-Selmer Groups of Elliptic Curves
Authors: PATERSON ROSS
Published: September 2024

We show that if F is
$\mathbb{Q}$
or a multiquadratic number field,
$p\in\left\{{2,3,5}\right\}$
, and
$K/F$
is a Galois extension of degree a power of p, then for elliptic curves
$E/\mathbb{Q}$
ordered by height, the average dimension of the p-Selmer groups of
$E/K$
is bounded. In particular, this provides a bound for the average K-rank of elliptic curves
$E/\mathbb{Q}$
for such K. Additionally, we give bounds for certain representation–theoretic invariants of Mordell–Weil groups over Galois extensions of such F.

The central result is that: for each finite Galois extension
$K/F$
of number fields and prime number p, as
$E/\mathbb{Q}$
varies, the difference in dimension between the Galois fixed space in the p-Selmer group of
$E/K$
and the p-Selmer group of
$E/F$
has bounded average.
Response of indicator species to changes in food web and ocean dynamics of the Ross Sea, Antarctica
Authors: Ainley David G. , Morandini Virginia , Salas Leo , Nur Nadav , Rotella Jay , Barton Kerry , Lyver Phil O'B. , Goetz Kimberly T. , Larue Michelle , Foster-Dyer Rose , Parkinson Claire L. , Arrigo Kevin R. , Van Dijken Gert , Beltran Roxanne S. , Kim Stacy , Brooks Cassandra , Kooyman Gerald , Ponganis Paul J. , Shanhun Fiona , Anderson Dean P.
Published: September 2024

Most of the Ross Sea has been designated a marine protected area (MPA), proposed ‘to protect ecosystem structure and function’. To assess effectiveness, the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) selected Adélie (Pygoscelis adeliae) and emperor (Aptenodytes forsteri) penguins, Weddell seals (Leptonychotes weddellii) and Antarctic toothfish (Dissostichus mawsoni) as ecosystem change ‘indicator species’. Stable for decades, penguin and seal populations increased during 1998–2018 to surpass historical levels, indicating that change in ecosystem structure and function is underway. We review historical impacts to population trends, decadal datasets of ocean climate and fishing pressure on toothfish. Statistical modelling for Adélie penguins and Weddell seals indicates that variability in climate factors and cumulative extraction of adult toothfish may explain these trends. These mesopredators, and adult toothfish, all prey heavily on Antarctic silverfish (Pleuragramma antarcticum). Toothfish removal may be altering intraguild predation dynamics, leading to competitive release of silverfish and contributing to penguin and seal population changes. Despite decades of ocean/weather change, increases in indicator species numbers around Ross Island only began once the toothfish fishery commenced. The rational-use, ecosystem-based viewpoint promoted by CCAMLR regarding toothfish management needs re-evaluation, including in the context of the Ross Sea Region MPA.
Bidirectional relationships between childhood adversities and psychosocial outcomes: A cross-lagged panel study from childhood to adolescence
Authors: Hales George K. , Debowska Agata , Rowe Richard , Boduszek Daniel , Levita Liat
Published: September 2024

Childhood adversities have been linked to psychosocial outcomes, but it remains uncertain whether subtypes of adversity exert different effects on outcomes. Research is also needed to explore the dynamic interplay between adversity and psychosocial outcomes from childhood to mid-adolescence. This study aimed to investigate these relationships and their role in shaping adolescent wellbeing. Data were extracted from three timepoints of the UK Household Longitudinal Survey when participants (n = 646) were aged 10–15. Cross-lagged panel models were used to explore the relationship between cumulative adversities, and separately non-household (i.e., bullying victimization and adverse neighborhood) and household (i.e., sibling victimization, quarrelsome relationship with parents, financial struggles, and maternal psychological distress) adversities, and psychosocial outcomes (i.e., internalizing and externalizing problems, delinquency, and life satisfaction). Our results revealed that heightened cumulative adversity predicted psychosocial outcomes from childhood to mid-adolescence. Increased levels of household adversity predicted psychosocial outcomes throughout early to mid-adolescence, while non-household adversity only predicted psychosocial outcomes in early adolescence. Furthermore, worse psychosocial outcomes predicted higher levels of adversities during adolescence, highlighting bidirectionality between adversity and psychosocial outcomes. These findings underscore the varying impacts of adversity subtypes and the mutually reinforcing effects of adversities and psychosocial functioning from childhood to mid-adolescence.
On Hofmann–Streicher universes
Authors: Awodey Steve
Published: September 2024

We take another look at the construction by Hofmann and Streicher of a universe
$(U,{\mathcal{E}l})$
for the interpretation of Martin-Löf type theory in a presheaf category
$[{{{\mathbb{C}}}^{\textrm{op}}},\textsf{Set}]$
. It turns out that
$(U,{\mathcal{E}l})$
can be described as the nerve of the classifier
$\dot{{\textsf{Set}}}^{\textsf{op}} \rightarrow{{\textsf{Set}}}^{\textsf{op}}$
for discrete fibrations in
$\textsf{Cat}$
, where the nerve functor is right adjoint to the so-called “Grothendieck construction” taking a presheaf
$P :{{{\mathbb{C}}}^{\textrm{op}}}\rightarrow{\textsf{Set}}$
to its category of elements
$\int _{\mathbb{C}} P$
. We also consider change of base for such universes, as well as universes of structured families, such as fibrations.
Resveratrol attenuates doxorubicin-induced toxicity during in vitro culture of mouse-isolated preantral follicles
Authors: Silva G.A.L. , Monte A.P.O , França A.T.V. , Mota I.M. , Oliveira Junior J.L. , Andrade K.O. , Souza L.M. , Silva R.L.S. , Guimarães V.S. , Barberino R.S. , Palheta Junior R.C. , Smitz J.E.J. , Matos M.H.T.
Published: September 2024

The aims of this study were to evaluate the doxorubicin concentration that induces toxic effects on in vitro culture of isolated mouse secondary follicles and to investigate whether resveratrol can inhibit or reduce this toxicity. Secondary follicles were isolated and cultured for 12 days in control medium (α-MEM+) or in α-MEM+ supplemented with doxorubicin (0.1 µg/ml) or different concentrations of resveratrol (0.5, 2, or 5 µM) associated with doxorubicin (0.1 µg/ml) (experiment 1). For experiment 2, follicles were cultured in α-MEM+ alone or supplemented with doxorubicin (0.3 µg/ml) or different concentrations of resveratrol (5 or 10 µM) associated or not with doxorubicin (0.3 µg/ml) (experiment 2). The endpoints analyzed were morphology (survival), antrum formation, follicular diameter, mitochondrial activity, glutathione (GSH) levels and DNA fragmentation. In the first experiment, doxorubicin (0.1 µg/ml) maintained survival and antrum formation similar to the control, while 5 µM resveratrol showed increased parameters, maintained mitochondrial activity and increased GSH levels compared to the control. In the second experiment, doxorubicin (0.3 µg/ml) reduced survival, antrum formation and follicular diameter compared to the control. Resveratrol at a concentration of 10 µM attenuated the damage caused by doxorubicin by improving follicular survival and did not present DNA fragmentation. In conclusion, supplementation of the in vitro culture medium with 0.3 µg/ml doxorubicin reduced the survival and impaired the development of mouse-isolated preantral follicles. Resveratrol at 10 µM reduced doxorubicin-induced follicular atresia, without DNA fragmentation in the follicles.
Outcomes after bidirectional cavopulmonary shunt with antegrade pulmonary blood flow in high-risk patients
Authors: Behrend Lea , Schaeffer Thibault , Osawa Takuya , Palm Jonas , Di Padua Chiara , Niedermaier Carolin , Heinisch Paul Philipp , Piber Nicole , Hager Alfred , Ewert Peter , Hörer Jürgen , Ono Masamichi
Published: September 2024

Objective:

We have left antegrade pulmonary blood flow (APBF) at bidirectional cavopulmonary shunt (BCPS) only for high-risk patients. This study evaluates the indication and the outcomes of patients with APBF, compared to those without APBF.

Methods:

Patients with APBF after BCPS were identified among patients who underwent BCPS between 1997 and 2022. Outcomes of patients with and without APBF after BCPS were compared.

Results:

APBF was open in 38 (8.2%) of 461 patients. Median age (7.7 versus 6.3 months, p = 0.55) and weight (5.6 versus 6.1 kg, p = 0.75) at BCPS were similar in both groups. The most frequent indication for APBF was high pulmonary artery pressure (PAP) in 14 patients, followed by hypoxaemia in 10, and hypoplastic left pulmonary artery in 8. The source of APBF was the pulmonary trunk in 10 patients and the aortopulmonary shunt in 28. Median hospital stay after BCPS was longer (22 versus 14 days, p = 0.018) and hospital mortality was higher (10.5 versus 2.1%, p = 0.003) in patients with APBF compared to those without APBF. However, 448 hospital survivors showed similar survival after discharge following BCPS (p = 0.224). Survival after total cavopulmonary connection (TCPC) was similar between the groups (p = 0.753), although patients with APBF were older at TCPC compared to those without (3.9 versus 2.2 years, p = 0.010).

Conclusion:

APBF was left in 8% following BCPS in high-risk patients, mainly due to preoperative high PAP. Hospital survivors after BCPS demonstrated comparable survival in patients with and without APBF. Adding APBF at BCPS might be a useful option for high-risk patients.
The prediction limits of the National Adult Reading Test and its abbreviated and international variants
Authors: van der Linde Ian , Bright Peter
Published: September 2024

Objective:

Premorbid tests estimate cognitive ability prior to neurological condition onset or brain injury. Tests requiring oral pronunciation of visually presented irregular words, such as the National Adult Reading Test (NART), are commonly used due to robust evidence that word familiarity is well-preserved across a range of neurological conditions and correlates highly with intelligence. Our aim is to examine the prediction limits of NART variants to assess their ability to accurately estimate premorbid IQ.

Method:

We examine the prediction limits of 13 NART variants, calculate which IQ classification system categories are reachable in principle, and consider the proportion of the adult population in the target country falling outside the predictable range.

Results:

Many NART variants cannot reach higher or lower IQ categories due to floor/ceiling effects and inherent limitations of linear regression (used to convert scores to predicted IQ), restricting clinical accuracy in evaluating premorbid ability (and thus the magnitude of impairment). For some variants this represents a sizeable proportion of the target population.

Conclusions:

Since both higher and lower IQ categories are unreachable in principle, we suggest that future NART variants consider polynomial or broken-stick fitting (or similar methods) and suggest that prediction limits should be routinely reported.
The Greatest Name of God: ʿAlī ibn Abī Ṭālib as a cosmic image in Rajab al-Bursī's Mashāriq al-anwār
Authors: Mansouri Mohammad Amin
Published: September 2024

ʿAlī ibn Abī Ṭālib (d. 40/661)—a revered figure in Islamic history as both the first Shiʿi imam and the fourth caliph—serves as a significant image of sacral power in the Persianate world and beyond. ʿAlī's authority underwent a profound reimagining in the early modern era as he emerged as a captivating imperial emblem from the Timurid renaissance to the Safavid revolution, rivalling other prominent figures of political authority such as Chinggis Khan (d. 1227), and becoming a symbol of human perfection for both Sunni and Shiʿi intellectuals alike. ʿAlī transcended his role as a Shiʿi imam to assume the status of a cosmic figure, gradually becoming an ideal symbol for imperial branding. However, there is little scholarly knowledge and appreciation of his changing role in this period. This article examines how al-Ḥāfiẓ Rajab al-Bursī's (d. circa 814/1411) Mashāriq al-anwār, which has remained highly popular throughout the Persianate and Shiʿi world, contributed to the reshaping of ʿAlī's image, portraying him as the quintessential archetype of sacral power and unmatched authoritative feats.
ANALYTICALLY PRICING EUROPEAN OPTIONS UNDER A TWO-FACTOR STOCHASTIC INTEREST RATE MODEL WITH A STOCHASTIC LONG-RUN EQUILIBRIUM LEVEL
Authors: HE XIN-JIANG , LIN SHA
Published: September 2024

We construct a new stochastic interest rate model with two stochastic factors, by introducing a stochastic long-run equilibrium level into the Vasicek interest rate model which follows another Ornstein–Uhlenbeck process. With the interest rate under the Black–Scholes model being assumed to follow the newly proposed model, a closed-form representation of European option prices is successfully presented, when the analytical characteristic function of the underlying log-price under a forward measure is derived. To assess the model performance, a preliminary empirical study is conducted using S&P 500 index and its options, with the Vasicek model and an alternative two-factor Vasicek model taken as benchmarks.
Twice-daily HDR brachytherapy: a one-week apart protocol for treating cervix uteri in a resource-limited setting
Authors: Al Daly Moustafa , Mahmoud Neven , Hamada Emad , Kamalelden Maha , Hamdy Radwa
Published: September 2024

Background:

High dose rate (HDR) intracavitary brachytherapy (ICBT) plays a crucial role in cervix cancer treatment, with variations in fractionation schedules across different radiation societies. This study aims to assess the effectiveness and tolerability of a 7 Gy per fraction twice daily schedule over two successive weeks versus an 8 Gy per fraction once weekly schedule over three successive weeks.

Patients and Methods:

From 2020 to 2022, 87 patients with uterine cervix cancer (Stages II and III) underwent concomitant external beam radiotherapy (EBRT) and chemotherapy, followed by HDR-ICBT. Patients were randomised into two arms: Arm A (8 Gy per fraction once weekly for 3 fractions) and Arm B (7 Gy per fraction twice daily once a week for 4 fractions). Local control is defined as any patient free from local progression (CR + PR + SD) in the first year after ending brachytherapy (BTH).

Results:

The median follow-up was 16·5 months. Local control at 1 year was 78·7% in Arm A and 89·2% in Arm B (p = 0·24). No clinically significant differences in rectal and bladder toxicities were observed between the two arms (p = 0·40).

Conclusion:

There were limited treatment machines and other BTH challenges in Egypt, and the HDR BTH schedule of 7 Gy per fraction twice daily over 2 successive weeks presents an acceptable alternative to the current national standard of 8 Gy per fraction once weekly over 3 weeks. Both schedules demonstrate comparable local control, late toxicity and progression-free survival. Notably, the 7 Gy per fraction twice daily per week for 4 fractions offers the advantage of a reduced total treatment time.
Legal pluralism, ideology, and institutional change: the evolution of institutions for coastal resource governance in Ghana
Authors: Banikoi Hudu
Published: September 2024

Co-management regimes are institutional innovations that hold the promise of achieving sustainable common-pool resource governance. However, the transition to such institutional regimes in coastal resource systems has faced challenges in many countries. This article examines the processes and outcomes of such institutional changes in coastal fisheries in Ghana, where the transition to co-management was unsuccessful. Combining theoretical perspectives from legal pluralism in legal anthropology and ideational theories of institutional change within institutional economics, the paper uses process tracing to examine the role of ideology and historical institutional dynamics of the resource context in the institutionalization and failure of co-management arrangements for governing coastal fisheries. The study finds that ideological conflicts and historical legacies of legal pluralism hindered the practice and outcomes of coastal fisheries co-management in Ghana. The article argues for particular attention to the historical institutional dimensions and underlying worldviews of the resource context in institutional interventions for sustainability in coastal resource systems.
Ancient history education through project-based learning
Authors: Molina-Torres María-Pilar
Published: September 2024

The effectiveness of teaching strategies and resources that promote meaningful content learning is most pronounced when active methods such as project-based learning (PBL) are used to teach Ancient History (Molina, 2020, 53). Therefore, this study focuses on a comprehensive assessment of the methodological and historical competences acquired by students enrolled in the secondary education teacher training programme at the University of Cordoba (Spain). The research, which is non-experimental and quantitative, uses a Likert-type scale and involves the participation of 201 Masters students who have completed the course ‘Learning and Teaching Social Sciences’. The results of the statistical analysis show a positive evaluation of PBL in terms of historical understanding and its effectiveness in improving historical awareness. It is crucial to emphasise the advantages of active and collaborative learning inherent in PBL. However, it is also imperative to acknowledge the challenges that students face in applying their methodological knowledge to the secondary school setting. The transition from theoretical understanding to practical implementation is a significant hurdle for many students aspiring to a career in education. These findings underline the importance of promoting the seamless integration of innovative pedagogical approaches into teacher training programmes in order to effectively address the specific challenges of teaching antiquity in an educational context. Finally, this research was made possible by the Ministry of Science and Innovation's ‘Prueba de Concepto’ project, funded by the European Union under grant number PDC2022-133123-I00, and also by the CLIOGEN project (GINDO-UB/187) on Ancient History.
Effect of Vegetation Restoration on Soil Iron‐Associated Carbon Dynamics: Insights From Different Soil Textures
Authors: Dong Lingbo , Hu Weifang , Wang Defu , Zhang Hailong , Wu Jianzhao , Liao Yang , Li Jiwei , Shangguan Zhouping , Deng Lei
Published: September 2024

Soil iron (Fe)‐associated carbon (C) (Fe‐OC) plays a vital role in the soil C cycle due to its high stability, but vegetation restoration might alter the composition and quantity of Fe‐OC by introducing a large amount of plant‐derived C and affecting soil properties. However, how vegetation restoration affects soil Fe‐OC remains unclear. Herein, plant and topsoil samples from grasslands, shrublands, and forestlands across three soil types (loam, loess, and sandy soil) since cropland conversions were collected to address this issue. The results showed soil Fe‐OC content decreased in loam soil but increased in loess and sandy soil following vegetation restoration. Additionally, the Fe‐OC accumulation efficiency induced by vegetation restoration increased with the coarser soil texture. Vegetation restoration promoted the accumulation of Fe‐OC by increasing soil microbial biomass C, dissolved organic C, aromatic‐C, and citric acid, but also disrupted the combination of Fe oxides and C by introducing oxalic acid, reducing Fe oxide content and iron trivalent (Fe(III)). There were two‐sided effects of vegetation restoration on Fe‐OC, but the overall effect depends on the soil types. Moreover, isotopic evidence indicated that microbial source C is the main source of Fe‐OC, but Fe oxides preferentially adsorbed dissolved organic matter (DOM) and root deposits from plants rather than microbial residues and metabolites following vegetation restoration. In addition, Fe oxides preferentially adsorbed aromatic‐C compared to other functional group components. These findings indicated that vegetation restoration in coarser‐texture soils, coupled with selecting species that increase soil microbial biomass, produce more root deposits, and enhance DOM, contribute to the accumulation of soil Fe‐OC.
The K‐Profile Parameterization Augmented by Deep Neural Networks (KPP_DNN) in the General Ocean Turbulence Model (GOTM)
Authors: Yuan Jianguo , Liang Jun‐Hong , Chassignet Eric P. , Zavala‐Romero Olmo , Wan Xiaoliang , Cronin Meghan F.
Published: September 2024

This study utilizes Deep Neural Networks (DNN) to improve the K‐Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11‐year turbulence‐resolving solutions, obtained by running a large eddy simulation model for Ocean Station Papa, to predict the turbulence velocity scale coefficient and unresolved shear coefficient in the KPP. The DNN‐augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long‐term integration and more efficient than existing variants of KPP schemes with wave effects. Three different KPP_DNN schemes, each differing in their input and output variables, have been developed and trained. The performance of models utilizing the KPP_DNN schemes is compared to those employing traditional deterministic first‐order and second‐moment closure turbulent mixing parameterizations. Solution comparisons indicate that the simulated mixed layer becomes cooler and deeper when wave effects are included in parameterizations, aligning closer with observations. In the KPP framework, the velocity scale of unresolved shear, which is used to calculate ocean surface boundary layer depth, has a greater impact on the simulated mixed layer than the magnitude of diffusivity does. In the KPP_DNN, unresolved shear depends not only on wave forcing, but also on the mixed layer depth and buoyancy forcing.
Development of the Ionospheric E‐Region Prompt Radio Occultation Based Electron Density (E‐PROBED) Model
Authors: Salinas Cornelius Csar Jude H. , Wu Dong L. , Swarnalingam Nimalan , Emmons Daniel , Qian Liying
Published: September 2024

This work reports the development of the first version of the E‐region Prompt Radio Occultation Based Electron Density (E‐PROBED) Model. This is an empirical model of E‐region electron density (Ne) between 90 and 120 km developed using radio occultation measurements from the COSMIC‐1 mission. This first version captures more than 80% of the observed variability in monthly‐mean latitude‐local time‐altitude E‐region Ne profiles but it does not account for longitudinal variability at constant local‐time. This work also reports a validation of E‐PROBED simulations through comparisons with ionosondes and incoherent scatter radar (ISR) E‐region Ne profiles. E‐PROBED generally agrees with these ground‐based observations during day‐time. During night‐time, there is a large disparity between E‐PROBED and ISR values. Finally, this work compares E‐PROBED with E‐region Ne simulated by the International Reference Ionosphere (IRI) and the Specified Dynamics—Whole Atmosphere Community Climate Model with Ionosphere/Thermosphere eXtension (SD‐WACCM‐X). One of the main differences amongst these models is on the simulation of variabilities that cannot be attributed to photoionization. IRI barely simulates any variability not driven by photoionization. Both E‐PROBED and SD‐WACCM‐X simulates variability not driven by photoionization. Another main difference is in the absolute magnitude of night‐time E‐region Ne values. Both IRI and SD‐WACCM‐X are substantially lower than E‐PROBED. This work first concludes that E‐PROBED can conveniently provide E‐region Ne latitude—local time variabilities and structures that COSMIC‐1 observes. This work also concludes that E‐region Ne have significant non‐photoionization driven variabilities.
Proteogenomic characterization identifies clinical subgroups in EGFR and ALK wild-type never-smoker lung adenocarcinoma
Authors: Kim Hyondeog , Lee Wonyeop , Kim Youngwook , Lee Sang-Jin , Choi Wonyoung , Lee Geon Kook , Park Seung-Jin , Ju Shinyeong , Kim Seon-Young , Lee Cheolju , Han Ji-Youn
Published: September 2024

Patients with lung adenocarcinoma who have never smoked (NSLA) and lack key driver mutations, such as those in the EGFR and ALK genes, face limited options for targeted therapies. They also tend to have poorer outcomes with immune checkpoint inhibitors than lung cancer patients who have a history of smoking. The proteogenomic profile of nonsmoking lung adenocarcinoma patients without these oncogenic driver mutations is poorly understood, which complicates the precise molecular classification of these cancers and highlights a significant area of unmet clinical need. This study analyzed the genome, transcriptome, and LC‒MS/MS-TMT-driven proteome data of tumors obtained from 99 Korean never-smoker lung adenocarcinoma patients. NSLA tumors without EGFR or ALK driver oncogenes were classified into four proteogenomic subgroups: proliferation, angiogenesis, immune, and metabolism subgroups. These 4 molecular subgroups were strongly associated with distinct clinical outcomes. The proliferation and angiogenesis subtypes were associated with a poorer prognosis, while the immune subtype was associated with the most favorable outcome, which was validated in an external lung cancer dataset. Genomic-wide impacts were analyzed, and significant correlations were found between copy number alterations and both the transcriptome and proteome for several genes, with enrichment in the ERBB, neurotrophin, insulin, and MAPK signaling pathways. Proteogenomic analyses suggested several targetable genes and proteins, including CDKs and ATR, as potential therapeutic targets in the proliferation subgroup. Upregulated cytokines, such as CCL5 and CXCL13, in the immune subgroup may serve as potential targets for combination immunotherapy. Our comprehensive proteogenomic analysis revealed the molecular subtypes of EGFR- and ALK-wild-type NSLA with significant unmet clinical needs.
Clinical correlates of a high cardiorespiratory risk score for very low birth weight infants
Authors: Kausch Sherry L. , Slevin Claire C. , Duncan Amanda , Fairchild Karen D. , Lake Douglas E. , Keim-Malpass Jessica , Vesoulis Zachary A. , Sullivan Brynne A.
Published: September 2024

Background

A pulse oximetry warning system (POWS) to analyze heart rate and oxygen saturation data and predict risk of sepsis was developed for very low birth weight (VLBW) infants.

Methods

We determined the clinical correlates and positive predictive value (PPV) of a high POWS score in VLBW infants. In a two-NICU retrospective study, we identified times when POWS increased above 6 (POWS spike). We selected an equal number of control times, matched for gestational and chronologic age. We reviewed records for infection and non-infection events around POWS spikes and control times. We calculated the frequencies and PPV of a POWS spike for infection or another significant event.

Results

We reviewed 111 POWS spike times and 111 control times. Days near POWS spikes were more likely to have clinical events than control days (77% vs 50%). A POWS spike had 52% PPV for suspected or confirmed infection and 77% for any clinically significant event. Respiratory deterioration occurred near more POWS spike times than control times (34% vs 18%).

Conclusions

In a retrospective cohort, infection and respiratory deterioration were common clinical correlations of a POWS spike. POWS had a high PPV for significant clinical events with or without infection.

Impact

There are significant gaps in understanding the best approach to implementing continuous sepsis prediction models so that clinicians can best respond to early signals of deterioration.

Infection and respiratory deterioration were common clinical events identified at the time of a high predictive model score.

Understanding the clinical correlates of a high-risk early warning score will inform future implementation efforts.
Dietary intake and risk of metabolic syndrome in long-term survivors of pediatric allogeneic hematopoietic stem cell transplantation
Authors: Pedersen Louise Lindkvist , Gerbek Tina , Sørum Maria Ebbesen , Muhic Ena , Christiansen Terkel , Kok Karin , Sørensen Kaspar , Mølgaard Christian , Müller Klaus
Published: September 2024

We explored the dietary intake and metabolic syndrome (MetS) in 85 survivors of pediatric stem cell transplantation (median age 30 years, median follow-up time 20 years). Overall, the distribution of fatty acid deviated from the recommendations with a higher intake of saturated fat and a lower intake of unsaturated fat but was comparable to that of the background population. The prevalence of MetS was 27%, corresponding to that of the elderly background population. We compared the intake of macronutrients between those with MetS and those without MetS and found that overall fat intake was higher in patients with MetS (36.7E% [range, 27.2–51.2E%] vs. 33,5E% (range, 23.4–45.1E%), P = 0.016). Within the subgroup of patients treated with total body irradiation (TBI), we found a higher fat intake in those with MetS (36.8E% (range, 27.2–51.2E%) versus 32.0E% (range, 24.6–42.1E%), P = 0.013). This was confirmed in a multivariate analysis adjusted for TBI, sex, and age at follow-up (OR 1.20 (1.06–1.39), P = 0.008). Our findings suggest that conditioning with the use of TBI may induce a state of hypersensitivity to the potentially harmful effects of fat in the diet and suggest that this risk of MetS after TBI treatment may be modifiable by dietary changes.
Acid-activatable photosensitizers for photodynamic therapy using self-aggregates of chlorophyll‒peptide conjugates
Authors: Nagatani Miyu , Yoshikawa Masaru , Tsukiji Shinya , Higuchi Masahiro , Tamiaki Hitoshi , Matsubara Shogo
Published: September 2024

Photodynamic therapy is useful due to its high antitumor efficacy, spatiotemporal selectivity, and noninvasiveness and has garnered significant attention in the field of cancer treatment. When photoexcited by light irradiation, photosensitizers produce reactive oxygen species (ROS) that damage tumor tissues. However, photosensitizers can also accumulate in normal tissues, leading to side effects such as skin photosensitivity. To mitigate these side effects, we report the development of chlorophyll‒peptide conjugates as tumor-selective photosensitizers. These conjugates bearing histidine and lysine residues self-assemble into nanoparticles that are expected to accumulate selectively in tumors and reduce ROS generation through self-quenching under the neutral conditions typical of normal tissues. In contrast, these aggregated conjugates partially disassemble under weakly acidic conditions, such as those found in tumor tissues, resulting in phototoxicity. We anticipate that these acid-activatable conjugates have the potential to serve as cancer-selective photosensitizers, thereby reducing phototoxicity in normal tissues.
Gene-level alignment of single-cell trajectories
Authors: Sumanaweera Dinithi , Suo Chenqu , Cujba Ana-Maria , Muraro Daniele , Dann Emma , Polanski Krzysztof , Steemers Alexander S. , Lee Woochan , Oliver Amanda J. , Park Jong-Eun , Meyer Kerstin B. , Dumitrascu Bianca , Teichmann Sarah A.
Published: September 2024

Single-cell data analysis can infer dynamic changes in cell populations, for example across time, space or in response to perturbation, thus deriving pseudotime trajectories. Current approaches comparing trajectories often use dynamic programming but are limited by assumptions such as the existence of a definitive match. Here we describe Genes2Genes, a Bayesian information-theoretic dynamic programming framework for aligning single-cell trajectories. It is able to capture sequential matches and mismatches of individual genes between a reference and query trajectory, highlighting distinct clusters of alignment patterns. Across both real world and simulated datasets, it accurately inferred alignments and demonstrated its utility in disease cell-state trajectory analysis. In a proof-of-concept application, Genes2Genes revealed that T cells differentiated in vitro match an immature in vivo state while lacking expression of genes associated with TNF signaling. This demonstrates that precise trajectory alignment can pinpoint divergence from the in vivo system, thus guiding the optimization of in vitro culture conditions.
Structural basis for translational control by the human 48S initiation complex
Authors: Petrychenko Valentyn , Yi Sung-Hui , Liedtke David , Peng Bee-Zen , Rodnina Marina V. , Fischer Niels
Published: September 2024

The selection of an open reading frame (ORF) for translation of eukaryotic mRNA relies on remodeling of the scanning 48S initiation complex into an elongation-ready 80S ribosome. Using cryo-electron microscopy, we visualize the key commitment steps orchestrating 48S remodeling in humans. The mRNA Kozak sequence facilitates mRNA scanning in the 48S open state and stabilizes the 48S closed state by organizing the contacts of eukaryotic initiation factors (eIFs) and ribosomal proteins and by reconfiguring mRNA structure. GTPase-triggered large-scale fluctuations of 48S-bound eIF2 facilitate eIF5B recruitment, transfer of initiator tRNA from eIF2 to eIF5B and the release of eIF5 and eIF2. The 48S-bound multisubunit eIF3 complex controls ribosomal subunit joining by coupling eIF exchange to gradual displacement of the eIF3c N-terminal domain from the intersubunit interface. These findings reveal the structural mechanism of ORF selection in human cells and explain how eIF3 could function in the context of the 80S ribosome.
A deep learning dataset for metal multiaxial fatigue life prediction
Authors: Chen Shuonan , Bai Yongtao , Zhou Xuhong , Yang Ao
Published: September 2024

Multiaxial fatigue failure of metals, a common issue in industrial production, often leads to significant losses. Recently, many researchers have applied deep learning methods to predict the multiaxial fatigue life of metals, achieving promising results. Due to the high costs of fatigue testing, training data for deep learning is scarce and labor-intensive to collect. This study meets this need by creating a large-scale, high-quality dataset for multiaxial fatigue life prediction, consisting of 1167 samples from 40 materials collected from literature. The dataset includes key mechanical properties (elastic modulus, yield strength, tensile strength, Poisson’s ratio) and 48 loading paths, along with additional relevant information (composition ratios, processing conditions). Common deep learning models validated the dataset’s effectiveness. This dataset aims to support researchers applying deep learning to fatigue life prediction, addressing the long-standing issue of data scarcity, thereby advancing the intersection of artificial intelligence and metal fatigue research.
Disulfiram attenuates cell and tissue damage and blood‒brain barrier dysfunction after intracranial haemorrhage by inhibiting the classical pyroptosis pathway
Authors: Xu Chen , Jiang Fangchao , Mao Yuanfu , Wei Wan , Song Jihe , Jia Feihong , Du Xinshu , Zhong Di , Li Guozhong
Published: September 2024

No single treatment significantly reduces the mortality rate and improves neurological outcomes after intracerebral haemorrhage (ICH). New evidence suggests that pyroptosis-specific proteins are highly expressed in the perihaematomal tissues of patients with ICH and that the disulfiram (DSF) inhibits pyroptosis. An ICH model was established in C57BL/6 mice by intracranial injection of collagenase, after which DSF was used to treat the mice. Cell model of ICH was constructed, and DSF was used to treat the cells. HE, TUNEL, Nissl, FJC and IF staining were performed to evaluate the morphology of brain tissues; Western blotting and ELISA were performed to measure the protein expression of NOD-like receptor protein 3 (NLRP3)/Caspase-1/gasdermin D (GSDMD) classical pyroptosis pathway and Toll-likereceptor4 (TLR4)/nuclear factor-kappaB (NF-κB) inflammatory signaling pathway and blood‒brain barrier-associated factoes, and the wet/dry weight method was used to determine the brain water content. The expression of proteins related to the NLRP3/Caspase-1/GSDMD pathway and the TLR4/NF-κB pathway was upregulated in tissues surrounding the haematoma compared with that in control tissues; Moreover, the expression of the blood–brain barrier structural proteins occludin and zonula occludens-1 (ZO-1) was downregulated, and the expression of Aquaporin Protein-4 (AQP4) and matrix metalloprotein 9 (MMP-9) was upregulated. DSF significantly inhibited these changes, reduced the haematoma volume, decreased the brain water content, reduced neuronal death and degeneration and improved neurological function after ICH. ICH activated the classical pyroptosis pathway and TLR4/NF-κB inflammatory pathway, disruped the expression of blood–brain barrier structural proteins, and exacerbated brain injury and neurological dysfunction. DSF inhibited these changes and exerted the therapeutic effects on pathological changes and dysfunction caused by ICH.
Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis
Authors: Nemat Hoda , Khadem Heydar , Elliott Jackie , Benaissa Mohammed
Published: September 2024

Accurate prediction of blood glucose level (BGL) has proven to be an effective way to help in type 1 diabetes management. The choice of input, along with the fundamental choice of model structure, is an existing challenge in BGL prediction. Investigating the performance of different data-driven time series forecasting approaches with different inputs for BGL prediction is beneficial in advancing BGL prediction performance. Limited work has been made in this regard, which has resulted in different conclusions. This paper performs a comprehensive investigation of different data-driven time series forecasting approaches using different inputs. To do so, BGL prediction is comparatively investigated from two perspectives; the model’s approach and the model’s input. First, we compare the performance of BGL prediction using different data-driven time series forecasting approaches, including classical time series forecasting, traditional machine learning, and deep neural networks. Secondly, for each prediction approach, univariate input, using BGL data only, is compared to a multivariate input, using data on carbohydrate intake, injected bolus insulin, and physical activity in addition to BGL data. The investigation is performed on two publicly available Ohio datasets. Regression-based and clinical-based metrics along with statistical analyses are performed for evaluation and comparison purposes. The outcomes show that the traditional machine learning model is the fastest model to train and has the best BGL prediction performance especially when using multivariate input. Also, results show that simply adding extra variables does not necessarily improve BGL prediction performance significantly, and data fusion approaches may be required to effectively leverage other variables’ information.
Integrating neural networks with advanced optimization techniques for accurate kidney disease diagnosis
Authors: Elbedwehy Samar , Hassan Esraa , Saber Abeer , Elmonier Rady
Published: September 2024

Kidney diseases pose a significant global health challenge, requiring precise diagnostic tools to improve patient outcomes. This study addresses this need by investigating three main categories of renal diseases: kidney stones, cysts, and tumors. Utilizing a comprehensive dataset of 12,446 CT whole abdomen and urogram images, this study developed an advanced AI-driven diagnostic system specifically tailored for kidney disease classification. The innovative approach of this study combines the strengths of traditional convolutional neural network architecture (AlexNet) with modern advancements in ConvNeXt architectures. By integrating AlexNet’s robust feature extraction capabilities with ConvNeXt’s advanced attention mechanisms, the paper achieved an exceptional classification accuracy of 99.85%. A key advancement in this study’s methodology lies in the strategic amalgamation of features from both networks. This paper concatenated hierarchical spatial information and incorporated self-attention mechanisms to enhance classification performance. Furthermore, the study introduced a custom optimization technique inspired by the Adam optimizer, which dynamically adjusts the step size based on gradient norms. This tailored optimizer facilitated faster convergence and more effective weight updates, imporving model performance. The model of this study demonstrated outstanding performance across various metrics, with an average precision of 99.89%, recall of 99.95%, and specificity of 99.83%. These results highlight the efficacy of the hybrid architecture and optimization strategy in accurately diagnosing kidney diseases. Additionally, the methodology of this paper emphasizes interpretability and explainability, which are crucial for the clinical deployment of deep learning models.