Distinct Degrees Research Articles

Migratory strategies across an ecological barrier: is the answer blowing in the wind?

BackgroundEcological barriers can shape the movement strategies of migratory animals that navigate around or across them, creating migratory divides. Wind plays a large role in facilitating aerial migrations and can temporally or spatially change the challenge posed by an ecological barrier, with beneficial winds potentially converting a barrier into a corridor. Here, we explore the role wind plays in shaping initial southbound migration strategy among individuals breeding at two sites along an ecological barrier.MethodsUsing GPS satellite transmitters, we tracked the southbound migrations of Short-billed Dowitchers (Limnodromus griseus caurinus) from two breeding sites in Alaska to nonbreeding sites in coastal Mexico. The breeding sites were positioned in distinct regions along an ecological barrier – the Gulf of Alaska. We investigated potential differences in migratory timing, wind availability, and tailwind support en route across the Gulf of Alaska between individuals breeding at the two sites.ResultsRoute choice and arrival timing to wintering sites differed markedly between the two breeding sites: individuals departing from the more westerly site left at the same time as those from further east but crossed the Gulf of Alaska farther west and arrived along the Pacific coast of Mexico an average of 19 days earlier than their counterparts. Dowitchers from both sites departed with slight tailwinds, but once aloft over the Gulf of Alaska, birds from the more westerly site had up to twelve times more tailwind assistance than birds from the more easterly one.ConclusionsThe distinct migration strategies and degree of wind assistance experienced by birds at these two breeding sites demonstrates how differences in wind availability along migratory routes can form the basis for intraspecific variation in migration strategies with potential carryover effects. Future changes in wind regimes may therefore interact with changes in habitat availability to influence migration patterns and migratory bird conservation.

Latent Electronic (Anti-)Ferroelectricity in BiNiO_{3}.

BiNiO_{3} exhibits an unusual metal-insulator transition from Pnma to P1[over ¯] that is related to charge ordering at the Bi sites, which is intriguingly distinct from the charge ordering at Ni sites usually observed in related rare-earth nickelates. Here, using first principles calculations, we first rationalize the phase transition from Pnma to P1[over ¯], revealing an overlooked intermediate P2_{1}/m bridging phase and a complex interplay between distinct degrees of freedom. Going further, we point out that the charge ordering at Bi sites in the P1[over ¯] phase is not unique. We highlight an alternative polar ordering giving rise to a ferroelectric Pmn2_{1} phase nearly degenerated in energy with P1[over ¯] and showing an in-plane electric polarization of 53 μC/cm^{2} directly resulting from the charge ordering. The close energy of Pmn2_{1} and P1[over ¯] phases, together with low energy barrier between them, make BiNiO_{3} a potential electronic antiferroelectric in which the field-induced transition from nonpolar to polar would relate to nonadiabatic intersite electron transfer. We also demonstrate the possibility to stabilize an electronic ferroelectric ground state from strain engineering in thin films, using an appropriate substrate.

Multifunctional nanoplatforms based on alumina-coated mesoporous silica with potential for cancer theranostics applications

Multifunctional nanoplatforms based on mesoporous silica coated with alumina were successfully and sustainably synthesized using sodium silicate extracted from rice husk ash (RHA), demonstrating the potential for cancer theranostics. The hybrid nanostructures produced (C2-600 and C4-600), from two different calcination times, exhibited distinct morphologies, textural parameters, and degrees of mesoscopic organization. As expected, the Al2O3 coating on the mesoporous silica nanoparticles (MSNs) reduced the specific surface area from 720 m2/g to 122 m2/g (C2-600) and 57 m2/g (C4-600), while preserving their mesoporous structure. Additionally, both C2-600 and C4-600 showed relatively good stability across a wide pH interval, with a zeta potential of ζ = -15 mV and hydrodynamic diameter (Dh) ranging from 160 to 670 nm, depending on the pH of the medium. These peculiar characteristics resulted in high encapsulation efficiency (EE ≈ 90%) for the doxorubicin (DOX) anticancer drug, as well as sustained drug release in simulated gastric fluid (SGF, pH 1.2) and simulated intestinal fluid (SIF, pH 7.4). Appreciably, C4-600-DOX released approximately 83% of the drug over 96 hours and demonstrated significant biodegradation in simulated biological media. Furthermore, the hybrid nanoplatforms exhibited strong optical absorption between 250 and 420 nm, along with broad and intense photoluminescence (PL) in the near-infrared (NIR) region (680-900 nm), which is highly desirable for NIR-fluorescence diagnostic imaging. Notably, the hybrid nanoplatforms without DOX were non-cytotoxic to fibroblast and Caco-2 cells, while the DOX-loaded nanoplatforms exhibited selectivity and potent anticancer activity, inhibiting approximately 80% of Caco-2 colorectal cancer cells after 72 hours. These findings demonstrate that C2-600 and C4-600 are innovative, multifunctional and biodegradable nanoplatforms with powerful potential as drug carriers and fluorescence imaging agents, making them promising candidates for cancer theranostics.

Institutional care and education: circulation of knowledge about epilepsy in Sweden 1915-40.

This article focuses on the circulation of knowledge about epilepsy in Sweden between 1915 and 1940. During the period medical research on epilepsy increased, which simultaneously brought a new degree of specialisation and distinction between branches of medicine. The aim of this article is to study the impact of new medical knowledge about epilepsy on the treatment and education of children with epilepsy in Sweden. In order to concretise the aim, the study focuses on the asylum Margarethahemmet. The key source material consists of Margarethahemmet's annual reports and yearbooks. The minutes of the meetings of the Swedish General Association for the Care of the Feebleminded and Epileptic for the period 1915-1938 have been used as supplementary material. In order to trace the impact of medical discoveries on Margarethahemmet's operations, contemporary scientific articles, mostly from Germany, have also been used. The article demonstrates how new research and new knowledge was sought internationally and nationally, to provide doctors and special teachers at the asylum with a proper knowledge about education, care and treatment for children with epilepsy. The increased understanding of the disease directly impacted the ability of a stigmatized group - people with epileptic disorder - to actively participate in society on the same terms as others.

Smart and autonomous monitoring of cracking in concrete structures with PZT sensor array-based hybrid sensing

Detecting microcracks in concrete structures is crucial for maintaining structural integrity; however, current methods often lack the precision, objectivity, and sensitivity needed for early-stage detection and monitoring. This study introduces a pioneering hybrid sensing approach that combines coherent and incoherent ultrasonic wave fields with surface-mounted PZT-based sensors, significantly advancing the state-of-the-art. The sensors are positioned at specified locations on a notched concrete beam and operated in the actuator-receiver (AR) mode, allowing for the manipulation of fracture width at the notch to achieve distinct degrees of damage. By evaluating the ultrasonic waves received from various AR configurations, we developed robust damage indices: the attenuation factor and diffusivity ratio. These indices provide objective metrics for evaluating the degree of damage, addressing the limitations of existing techniques. Key results demonstrate that the attenuation factor can detect crack widths as small as 10 µm at a 120 kHz frequency, surpassing traditional methods. Nevertheless, its sensitivity diminishes if the crack width exceeds 100 µm. Additionally, the diffusivity ratio remains sensitive to cracks beyond 200 µm and shows a substantial 40 % decrease even for non-visible fractures, offering a comprehensive assessment of fracture propagation. These advancements not only enhance early detection and monitoring precision but also offer a deeper understanding of fracture mechanics, paving the way for improved structural health monitoring and maintenance strategies.

Polarized Upconversion of sub-100 nm Single Nanoparticles.

Upconversion nanoparticles are popular as imaging probes due to their advantages in photostability and controllable emission dimensions. However, upconversion polarization remains largely uncharted with previous reports limited to microstructures. In this work, we report the observation of polarized upconversion emissions from β-NaYF4 single nanostructures below 100 nm. At the sub-100 nm scale, nanorods, nanodiscs, and nanoplates exhibit distinctive polarization degrees despite the same doping concentrations of lanthanides. We find this varied polarization degree results from the crystallographic orientation of nanostructure in relation to the light field and can be linked to the distinctive emission spectrum profile with varied Stark splitting transition ratios from Er3+. Our findings provide a comprehensive understanding of the polarization properties of upconversion nanoparticles, revealing a previously unexplored aspect of light emission. This discovery expands our knowledge of upconversion nanoparticles and also opens new possibilities for their use in future imaging and sensing applications, where polarization sensitivity is crucial.

Genome-wide SNP assessment of contemporary European red deer genetic structure highlights the distinction of peripheral populations and the main admixture zones in Europe.

Genome-wide technologies open up new possibilities to clarify questions on genetic structure and phylogeographic history of taxa previously studied with microsatellite loci and mitochondrial sequences. Here, we used 736 individual red deer (Cervus elaphus) samples genotyped at 35,701 single nucleotide polymorphism loci (SNPs) to assess the population structure of the species throughout Europe. The results identified 28 populations, with higher degrees of genetic distinction in peripheral compared to mainland populations. Iberian red deer show high genetic differentiation, with lineages in Western and Central Iberia maintaining their distinctiveness, which supports separate refugial ranges within Iberia along with little recent connection between Iberian and the remaining Western European populations. The Norwegian population exhibited the lowest variability and the largest allele frequency differences from mainland European populations, compatible with a history of bottlenecks and drift during post-glacial colonization from southern refugia. Scottish populations showed high genetic distance from the mainland but high levels of diversity. Hybrid zones were found between Eastern and Western European lineages in Central Europe as well as in the Pyrenees, where red deer from France are in close contact with Iberian red deer. Anthropogenic restocking has promoted the Pyrenean contact zone, admixture events in populations on the Isle of Rum and in the Netherlands, and at least partly the admixture of the two main lineages in central-eastern Europe. Our analysis enabled detailed resolution of population structure of a large mammal widely distributed throughout Europe and contributes to resolving the evolutionary history, which can also inform conservation and management policies.

Joint coordinate attention mechanism and instance normalization for COVID online comments text classification.

The majority of extant methodologies for text classification prioritize the extraction of feature representations from texts with high degrees of distinction, a process that may result in computational inefficiencies. To address this limitation, the current study proposes a novel approach by directly leveraging label information to construct text representations. This integration aims to optimize the use of label data alongside textual content. The methodology initiated with separate pre-processing of texts and labels, followed by encoding through a projection layer. This research then utilized a conventional self-attention model enhanced by instance normalization (IN) and Gaussian Error Linear Unit (GELU) functions to assess emotional valences in review texts. An advanced self-attention mechanism was further developed to enable the efficient integration of text and label information. In the final stage, an adaptive label encoder was employed to extract relevant label information from the combined text-label data efficiently. Empirical evaluations demonstrate that the proposed model achieves a significant improvement in classification performance, outperforming existing methodologies. This enhancement is quantitatively evidenced by its superior micro-F1 score, indicating the efficacy of integrating label information into text classification processes. This suggests that the model not only addresses computational inefficiencies but also enhances the accuracy of text classification.

Sandification degree classification of sandy dolomite base on convolutional neural networks

Sandification can degrade the strength and quality of dolomite, and to a certain extent, compromise the stability of a tunnel's surrounding rock as an unfavorable geological boundary. Sandification degree classification of sandy dolomite is one of the non-trivial challenges faced by geotechnical engineering projects such as tunneling in complex geographical environments. The traditional methods quantitatively measuring the physical parameters or analyzing some visual features are either time-consuming or inaccurate in practical use. To address these issues, we, for the first time, introduce the convolutional neural network (CNN)-based image classification methods into dolomite sandification degree classification task. In this study, we have made a significant contribution by establishing a large-scale dataset comprising 5729 images, classified into four distinct sandification degrees of sandy dolomite. These images were collected from the vicinity of a tunnel located in the Yuxi section of the CYWD Project in China. We conducted comprehensive classification experiments using this dataset. The results of these experiments demonstrate the groundbreaking achievement of CNN-based models, which achieved an impressive accuracy rate of up to 91.4%. This accomplishment underscores the pioneering role of our work in creating this dataset and its potential for applications in complex geographical analyses.

SMARCA4 controls state plasticity in small cell lung cancer through regulation of neuroendocrine transcription factors and REST splicing

IntroductionSmall Cell Lung Cancer (SCLC) can be classified into transcriptional subtypes with distinct degrees of neuroendocrine (NE) differentiation. Recent evidence supports plasticity among subtypes with a bias toward adoption of low-NE states during disease progression or upon acquired chemotherapy resistance. Here, we identify a role for SMARCA4, the catalytic subunit of the SWI/SNF complex, as a regulator of subtype shift in SCLC.MethodsATACseq and RNAseq experiments were performed in SCLC cells after pharmacological inhibition of SMARCA4. DNA binding of SMARCA4 was characterized by ChIPseq in high-NE SCLC patient derived xenografts (PDXs). Enrichment analyses were applied to transcriptomic data. Combination of FHD-286 and afatinib was tested in vitro and in a set of chemo-resistant SCLC PDXs in vivo.ResultsSMARCA4 expression positively correlates with that of NE genes in both SCLC cell lines and patient tumors. Pharmacological inhibition of SMARCA4 with FHD-286 induces the loss of NE features and downregulates neuroendocrine and neuronal signaling pathways while activating non-NE factors. SMARCA4 binds to gene loci encoding NE-lineage transcription factors ASCL1 and NEUROD1 and alters chromatin accessibility, enhancing NE programs. Enrichment analysis applied to high-confidence SMARCA4 targets confirmed neuron related pathways as the top GO Biological processes regulated by SMARCA4 in SCLC. In parallel, SMARCA4 also controls REST, a known suppressor of the NE phenotype, by regulating SRRM4-dependent REST transcript splicing. Furthermore, SMARCA4 inhibition drives ERBB pathway activation in SCLC, rendering SCLC tumors sensitive to afatinib.ConclusionsThis study nominates SMARCA4 as a key regulator of the NE state plasticity and defines a novel therapeutic strategy for SCLC.

Fractionation of debranched starch with different degree of polymerization and its effect of epigallocatechin gallate

Herein, five distinct degrees of polymerization (DP n‾) of debranched starch (DBS) were separated from native corn starch based on their differential solubility in aqueous/ethanol solutions of different volumetric ratios (1:1.5 and 1:3). Compared with the DBSP (DP n‾ 24.53 and DP n‾ 19.36), DBSs (DP n‾ 8.85 and DP n‾ 7.32) were found to have an amorphous crystal structure, resulting in lower thermal stability and an inability to form a complex with iodine. Furthermore, the proportion of rapidly digestible starch (RDS) in DBSP decreased, while the proportions of slow-digestible starch (SDS) and resistant starch (RS) increased. Additionally, the starch microparticles (SMPs) self-assembled from DBSp exhibit a larger particle size and a more regular shape than those formed by DBSs. Moreover, DBS-based SMPs (DBS-SMPs) with the maximum encapsulation efficiency and loading capacity of epigallocatechin gallate (EGCG) in DBSP3.0 (20) reached 88.67% and 22.35%, respectively. The EGCG loaded in EGCG@DBS-SMPs exhibited excellent radical scavenging activity.

Vector substrate-based Josephson junctions

We present a way to fabricate bicrystal Josephson junctions of high-Tc cuprate superconductors that are not grown on bulk bicrystalline substrates. Based on vector substrate technology, this approach makes use of a few tens-of-nanometer-thick bicrystalline membranes transferred onto conventional substrates. We demonstrate 24° [001]-tilt YBa2Cu3O7−x Josephson junctions fabricated on sapphire single crystals by utilizing 10-nm-thick bicrystalline SrTiO3 membranes. This technique allows one to manufacture bicrystalline Josephson junctions of high-Tc superconductors on a large variety of bulk substrate materials, providing distinctive degrees of freedom in designing the junctions and their electronic properties. Furthermore, it offers the capability to replace the fabrication of bulk bicrystalline substrates with thin-film growth methods.

Effect of Atracurium and Rocuronium on the State and Response Entropy during Isoflurane Anesthesia: Randomized Prospective Study

Abstract Background Several researches have inspected the impact of inhalation anesthetics, intravenous anesthetics, and muscle relaxants on spectral entropy, but many didn’t evaluate the extent of neuromuscular block. Besides, they didn’t inspect the impact of distinct degrees of neuromuscular blockade on spectral entropy under dissimilar saturations of isoflurane inhalation. Hence, this study evaluated variant degrees of minimum alveolar concentration (MAC) to estimate the isoflurane concentration, along with various level of neuromuscular blockade. Aim of this study is to evaluate the effect of muscle relaxants (atracurium and rocuronium) on entropy readings (state, response entropy and response- state difference) during isoflurane anesthesia. This is a prospective randomized study where forty patients were included and divided into two study groups; patients in Group A received atracurium, while patients in Group R received rocuronium. State and response entropy were observed under MAC 0.8% and 1% under 50% and 100% neuromuscular blockage. Results There was a positive correlation between state (SE) and response entropy (RE) at baseline, different MAC, and different train of four (TOF) for both atracurium and rocuronium. State and response entropy decreased with increasing MAC of isoflurane (p < 0.001), while atracurium and rocuronium at TOF 50% and 100% showed no effect on SE or RE or RE-SE (P > 0.05). Conclusions State and response entropy can be used effectively to evaluate depth of anesthesia at different isoflurane MAC and atracurium or rocuronium doses. Registration number: ClinicalTrials.gov Identifier: NCT 05097508, Registered 5 October 2021 - prospectively registered, http://www.ClinicalTrial.gov

A multi-horizon fully coupled thermo-mechanical peridynamics

This paper presents a fully coupled thermo-mechanical peridynamic model for simulating interactive thermo-mechanical material responses and thermally induced fracturing of solids. A temperature-dependent constitutive model and a deformation-dependent heat conduction model are derived for state-based peridynamic formulation. The dispersion relation and truncation error of the state-based peridynamic heat equation are analyzed for the first time. It is found that as non-locality becoming more pronounced, the dissipative rate of heat is reduced, and the truncation error becomes larger. A small horizon can effectively mitigate oscillation while reducing the error in the temperature field. For coupled thermo-mechanical modeling, a novel multi-horizon scheme is introduced where the thermal field is solved with a different horizon than that of the mechanical field. The multi-horizon scheme allows for the implementation of a distinct degree of non-locality for different physical field. Comparing with the constant-horizon scheme, we demonstrate through numerical examples that the multi-horizon scheme offers smoother and more accurate solutions and serves a promising option for peridynamics-based multi-physics simulations.

Multiparametric stations for real-time monitoring and long-term assessment of natural hazards

The present work would like to illustrate a new concept of multiparametric stations to characterize the crustal fluids-tectonic interaction in specific geological contexts. The dynamics of crustal fluids in relation to tectonics is a complex and sometimes intricate issue. Several factors act and mutually influence themselves, so that in each tectonic and geological context they follow a specific behavior, and a comprehensive cause-effect rule is hard to find. Changes in water chemistry and levels and in soil flux regimes (e.g., CO2, CH4, radon) are just a few examples well documented in the literature as being pre-, co- and post-seismic modifications as well as being markers of the local tectonic stress acting in the crust. A regional study combined with a long-lasting multiparametric monitoring is needed to prepare to a seismic sequence in a given place. The field infrastructure was set up starting from the end of 2021, and multiparametric stations have been installed in correspondence of active seismogenic sources initially located in Northern Italy. Data are transmitted in real-time and archived in an ad hoc developed relational database. Monitoring is mainly focused on groundwater parameters (water level, temperature, and electrical conductivity) of aquifers showing distinct degrees of confinement and lithologies. Sites are also equipped of meteorological sensors (pressure, temperature, rain, humidity, wind speed and direction), radon sensors and surface and borehole seismic stations providing accelerometric and velocimetric data. A mud volcano field is also monitored and holds the installation of a permanent CO2 soil flux station. A statistical analysis working flow is also proposed for a preliminary evaluation of the acquired time-series. In particular, a couple of tools to detect, and thus filter, anthropogenic and meteorological effects on a groundwater level series is described. We wish to provide a model of approach to analogous study cases in other potentially seismic areas.

Single cell characterization of persistent cells upon immunotherapy treatment in colorectal and endometrial tumors: The SERPENTINE trial.

3139 Background: Immune checkpoint inhibitor (ICI) therapy has proved efficacy in MSI colorectal (CRC) and endometrial cancer (EC), but its use in MSS tumors remains a challenge. As the mechanisms of action of CTLA-4 and PD-1 are non-redundant, targeting both pathways may have additive or synergistic activity in comparison with single PD-1/PD-L1 inhibition in MSS and MSI CRC and EC tumors, while single cell characterization of persistent cells upon treatment would enable to describe cell populations and build a detailed single-cell map of the immune, tumor and stromal cell composition. A single dose of tremelimumab (Trem) 300mg, while maintaining a similar overall exposure, has 3- to 4-fold higher Cmax compared to 4 doses of Trem 1 mg/kg, which may have the potential for better anti-tumor activity while potentially avoiding cumulative toxicity. Here we present the results of patients (pts) with refractory ICI-naïve MSS EC and CRC treated with Dur plus Trem and the characterization of immune and persistent cells with longitudinal single-cell analyses. Methods: Pts with advanced MSS/pMMR CRC and EC that have progressed during or after standard therapy with measurable disease per RECIST 1.1, ECOG ≤1, were treated with Dur 1500mg plus Trem 300mg at Week 0, followed by Dur 1500 mg Q4W. Response rate was correlated with transcriptome and T cell repertoire dynamics measured at single-cell level from freshly processed biopsies at three different timepoints: baseline, upon treatment and at progression. Results: 24 samples for single-cell analysis were obtained (4 MSS CRC and 4 MSS EC). The response rate (RR) was 0%, while disease control rate was 12.5%. Despite the lack of response, we found a massive shift in the immune tumor microenvironments of all patients. Following treatment, immune cell composition shifted to increased frequency of effector-memory, proliferating CD8+ cells and CD4+ cells, surprisingly, with enriched T helper phenotypes. Both lineages showed strong signals of exhaustion. The integration of matched T cell receptor (TCR) data pointed to an infiltration of new clonotypes, rather than the expansion of pre-existing tumor-resident T cells, with distinct degrees of dysfunctional phenotypes between the clones. Intriguingly, expanded clonotypes could be detected and monitored in peripheral blood cells using ultra-deep TCR sequencing. Conclusions: Dual treatment with Dur and Trem does not result in an improved RR in patients with refractory MSS/pMMR CRC and EC, despite profound dynamics in the tumor infiltrating immune cells landscape. The infiltration of CD4+ T helper cells provides mechanistic insights of immune evasion, a potential avenue to treat MSS/pMMR tumors. Clinical trial information: 2021-004061-13 .

Greater prosociality toward other human drivers than autonomous vehicles: Human drivers’ discriminatory behavior in mixed traffic

The development of autonomous vehicles (AVs) has rapidly evolved in recent years, aiming to gradually replace humans in driving tasks. However, road traffic is a complex environment involving numerous social interactions. As new road users, AVs may encounter different interactive situations from those of human drivers. This study therefore investigates whether human drivers show distinct degrees of prosociality toward AVs or other human drivers and whether AV behavioral patterns exert a relevant influence. Sixty-two drivers participated in the driving simulation experiment and interacted with other human drivers and different kinds of AVs (conservative, human-like, aggressive). The results show that human drivers are more willing to yield to other human drivers than to all kinds of AVs. Their braking reaction time is longer when yielding to AVs and their distance to AVs is shorter when choosing not to yield. AVs of different behavioral patterns do not significantly differ in yielding rate, but the braking reaction time of human-like AVs is longer than conservative AVs and shorter than aggressive AVs. These findings suggest that human drivers show more prosocial behaviors toward other human drivers than toward AVs. And human drivers’ yielding behavior changes as the behavioral patterns of AVs changes. Accordingly, this study improves the understanding of how human drivers interact with nonliving road users such as AVs and how the former accept AVs with different driving styles on the road.

Multidimensional polynomial patterns over finite fields: Bounds, counting estimates and Gowers norm control

We examine multidimensional polynomial progressions involving linearly independent polynomials over finite fields, proving power saving bounds for sets lacking such configurations. This jointly generalises earlier results of Peluse (for the single dimensional case) and the author (for distinct degree polynomials). In contrast to the cases studied in the aforementioned two papers, a usual PET induction argument does not give Gowers norm control over multidimensional progressions that involve polynomials of the same degrees. The main challenge is therefore to obtain Gowers norm control, and we accomplish this for all multidimensional polynomial progressions with pairwise independent polynomials. The key inputs are: (1) a quantitative version of a PET induction scheme developed in ergodic theory by Donoso, Koutsogiannis, Ferré-Moragues and Sun, (2) a quantitative concatenation result for Gowers box norms in arbitrary finite abelian groups, motivated by (but different from) earlier results of Tao, Ziegler, Peluse and Prendiville; (3) an adaptation to combinatorics of the box norm smoothing technique, recently developed in the ergodic setting by the author and Frantzikinakis; and (4) a new version of the multidimensional degree lowering argument.

State-of-health estimation for lithium-ion batteries based on GWO–VMD-transformer neural network

State-of-health (SOH) estimation of lithium-ion batteries stands as a fundamental metric within the battery management system. It reflects the current level of battery aging and is important for early warning of battery failure to avoid unsafe battery behavior. Therefore, accurate SOH estimation can ensure safe and reliable battery operation. In this paper, the capacity data of the discharge phase are used as the input of the SOH estimation model, and a gray wolf optimization (GWO)–variable mode decomposition (VMD)-transformer-based SOH estimation method for lithium-ion batteries is proposed in a data-driven framework. First, the GWO algorithm is adopted to optimize VMD to decompose the original battery capacity degradation sequence into a series of intrinsic mode functions (IMFs). Then, the transformer is used to separately predict each of these IMFs. Finally, the predicted values of each IMF are integrated to obtain the final prediction of the battery capacity degradation sequence. The model undergoes testing across various datasets, and comparative evaluations are conducted against other data-driven prediction models. The experimental findings underscore the superior SOH estimation performance of the proposed method, along with its robustness when confronted with diverse types of lithium-ion batteries, spanning distinct operational conditions and different aging degrees.

How inert is single‐stranded DNA towards DNA‐stabilized silver nanoclusters? A case study.

A case study, detailing the effect of different DNA strands on a NIR‐emitting DNA‐stabilized silver nanocluster (DNA‐AgNC), is reported. The presence of single‐stranded DNA oligomers was found to adversely affect the chemical stability of (DNA)2[Ag16Cl2]8+ with distinct degrees of destruction depending on the DNA sequence. To increase the chemical stability of the DNA‐AgNC, we implemented two protection strategies. First, hybridization of the bare DNA strands with the corresponding complementary sequences dramatically reduced the destruction of (DNA)2[Ag16Cl2]8+, as demonstrated by the decreased drops in both the absorption and emission spectra. Secondly, passivation of the bare DNA oligomers with silver cations left (DNA)2[Ag16Cl2]8+ intact. Our investigation can thus provide an easy‐to‐implement approach to discover DNA sequences that are intrinsically less reactive towards preformed DNA‐AgNCs, and give an idea on how to protect DNA‐AgNCs from bare DNA strands.