Spectra Of Complexes Research Articles

Collaboration in the return-to-work process after sick leave due to common mental disorders: a qualitative study of stakeholders’ views on goals and roles

BackgroundThis study explores how the goals of collaboration in the return-to-work (RTW) process for people with common mental disorders are described by the stakeholders involved, and how they experience stakeholders’ roles and responsibilities in relation to these goals.MethodsInterviews were conducted with 41 participants from three Swedish regions. Nine of the participants were workers, six employer representatives, four occupational health professionals, four social insurance officers, 18 RTW coordinators and five physicians. Thematic analysis was conducted.ResultsThree main themes and overarching goals when collaborating on RTW were identified. In the first theme, ‘creating an informative environment’, all stakeholders emphasised clear roles and responsibilities. The second theme, ‘striving for consensus in an environment of negotiations’, addressed negotiations about when and how to collaborate, on what and with whom, and reveal different views on stakeholders’ goals, roles and responsibilities in collaboration. The third theme identified goals for ‘creating a supportive environment’ for both workers and other stakeholders. Coordinators are found to have an important role in achieving a supportive environment, and in neutralising power imbalances between workers and their employers and social insurance officers.ConclusionsCompeting goals and priorities were identified as hindering successful collaboration, contributing to a spectrum of complex versus easy RTW collaboration. This study suggests some basic conditions for achieving a collaborative arena that is neutral in terms of power balance, where all stakeholders can share their views.

Abstract IA020: Functional studies of genetic variation using precision genome editing

Abstract Tumor genomes often harbor a complex spectrum of single nucleotide mutations, small indels, and large chromosome rearrangements that can perturb coding and non-coding regions of the genome in ways that remain poorly understood. The mutational processes responsible for the genesis of these events are also not static; instead, they continue to operate throughout disease evolution and further diversify the genetic and phenotypic landscape of cancer cells. Mounting evidence suggests that tumor genotype can be an important determinant of disease progression and therapy response, such as by modulating the sensitivity or resistance of cancer cells to mutant-specific drugs. These types of observations have motivated efforts to treat cancers with genome-informed therapies, highlighting the need to understand how different genetic variants precisely affect gene function and overall tumor phenotypes. Variant-function maps that provide a mechanistic understanding of the biology driven by cancer-associated mutations are needed to design these types of treatment strategies. Precision genome editing technologies like base and prime editing are uniquely suited to tackle this problem. Nevertheless, deploying these methods for systematic variant-function studies and disease modeling in vivo has not been straightforward due to lack of robust and scalable platforms capable of assessing editing efficiency and precision, particularly at endogenous loci. With this goal in mind, we previously developed and applied high-throughput base editing ‘sensor’ approaches that link endogenous genome editing outcomes with synthetic DNA-based readouts and cellular fitness measurements. Using these approaches, we showed that several uncharacterized mutant p53 alleles drive cancer cell proliferation and in vivo tumor development. Building upon this work, we recently developed new prime editing guide RNA design tools and sensor-based approaches that similarly couple quantitative editing outcomes to cellular fitness, allowing us to significantly expand the breadth of cancer-associated mutations that can be interrogated using these precision genome editing technologies. In this talk, I will describe ongoing work using base and prime editing sensor libraries to probe the biological impact of thousands of functionally-distinct genetic variants in diverse types of protein-coding genes and families to learn how these influence various cancer phenotypes. I will also discuss how the implementation of these modular technologies will allow researchers to functionally disentangle the impact of endogenous and exogenous mutational processes on functional selection and tumor evolution with close to single base pair resolution. This generalizable precision genome editing framework will facilitate the functional interrogation of genetic variants across diverse biological contexts, providing much needed insight into cancer variant-function relationships that could be leveraged to develop more precise cancer treatment paradigms, including synthetic lethal therapies that exploit tumor genotype. Citation Format: Francisco J. Sánchez-Rivera, Samuel I. Gould, Alexandra N. Wuest, Kexin Dong, Grace A. Johnson, Alvin Hsu, Varun K. Narendra, Ondine Atwa, Stuart S. Levine, David R. Liu. Functional studies of genetic variation using precision genome editing [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr IA020.

Synthesis, structure, fluorescence, and magnetic studies of a series of transition metal complexes with oxygen-bridged phenylene tricarboxylic acid ligand

In this work, 4-(2-carboxyphenoxy)phthalic acid ligand (H3bppa), 4,4′-dipyridyl (4,4′-dipy), 1,10-phenanthroline (phen), 2,2′-dipyridyl (2,2′-dipy) and transition metal ions Zn2+, Cu2+, Mn2+, Ni2+, Co2+ were used to synthesize metal complexes by solvothermal reaction. Ten complexes were synthesized, namely, [Zn(H2bppa)2(H2O)4]·4H2O (1), [Mn(H2bppa)2(H2O)4]·4H2O (2), [Co(H2bppa)2(H2O)4]·4H2O (3), [Mn(H2bppa)2 (2,2′-dipy) (H2O)]n (4), [Cu(H2bppa)2 (2,2′-dipy) (H2O)]n (5), [Mn3(bppa)2(4,4′-dipy)2 (H2O)6]n (6), [Co(Hbppa) (phen)2 (H2O)] (7) and [Ni(Hbppa) (phen)2 (H2O)] (8), [Mn(Hbppa) (phen) (H2O)]n (9), [Cu(Hbppa) (phen) (H2O)]n (10). Structural datas were collected by X-ray single crystal diffractometer, the results show that complexes 1, 2, 3, 7 and 8 are zero-dimensional mononuclear structure, 4, 5, 9 and 10 are one-dimensional chain structure, 6 is three-dimensional network structure. Furthermore, solid state fluorescence properties were performed on complexes H3bppa and 1–8, magnetic properties were performed on complexes 2–8. The fluorescence experiment results show that the fluorescence intensity of complexes 1–8 is weaker than that of H3bppa, and the fluorescence emission spectrum of complex 1 undergoes a blue shift relative to the H3bppa. Magnetic testing data analysis shows that complexes 2, 3 and 8 have antiferromagentic properties and complexes 4, 5, 6 and 7 have ferromagentic properties.

A time averaged semiclassical approach to IR spectroscopy.

We propose a new semiclassical approach to the calculation of molecular IR spectra. The method employs the time averaging technique of Kaledin and Miller upon symmetrization of the quantum dipole-dipole autocorrelation function. Spectra at high and low temperatures are investigated. In the first case, we are able to point out the possible presence of hot bands in the molecular absorption line shape. In the second case, we are able to reproduce accurate IR spectra as demonstrated by a calculation of the IR spectrum of the water molecule, which is within 4% of the exact intensity. Our time averaged IR spectra can be directly compared to time averaged semiclassical power spectra as shown in an application to the CO2molecule, which points out the differences between IR and power spectra and demonstrates that our new approach can identify active IR transitions correctly. Overall, the method features excellent accuracy in calculating absorption intensities and provides estimates for the frequencies of vibrations in agreement with the corresponding power spectra. In perspective, this work opens up the possibility to interface the new method with the semiclassical techniques developed for power spectra, such as the divide-and-conquer one, to get accurate IR spectra of complex and high-dimensional molecular systems.

Synthesis and characterization of sulfonamide appended rigid phenyl-based and non-rigid 1,4-benzodioxan-based ring systems and their Pt(II) complexes towards potential therapeutic targets

Two novel non-rigid; 1,4-benzodioxan (bzd) based and rigid; 4-methylbiphenyl (4-Mebip) based di-(2-picolyl)amine derived sulfonamide ligands, and their cis-dichloroplatinum(II) complexes have been synthesized. The ligands; L1: N(SO2)(bzd)dpa and L2: N(SO2)(4-Mebip)dpa were synthesized via N-sulfonylation of di-(2-picolyl)amine in good yield. Their platinum(II) complexes; C1: [PtCl2(N(SO2)(bzd)dpa)], C2: [PtCl2(N(SO2)(4-Mebip)dpa)]·CH3CN were synthesized and characterized by 1H NMR, FTIR, UV–Vis and fluorescence spectroscopies. Structural studies revealed that the L1 and L2 ligands coordinate Pt(II) in a bidentate mode in C1 and C2 complexes, forming an eight-membered chelate ring. Interestingly, L1 possesses two conformations because the dioxan ring exists with a 95:5 occupancy ratio. The L2 ligand crystal undergoes a phase transition to triclinic form with twinning at 90 K whereas, at 150 K, the ligand exists in a monoclinic system; the populations of the two orientations for one pyridine substituent are approximately 78:22. The 1H NMR spectra of both Pt complexes obtained in DMSO‑d6 revealed two doublets (exo-CH2 and endo-CH2) for the magnetically inequivalent methylene protons, in contrast to their uncoordinated ligands, which show a singlet peak for the methylene protons. The NCI-H292 (non-small cell lung cancer cells) and MRC-5 (human normal lung fibroblast cells) were used to examine the in vitro cytotoxic activity of all synthesized compounds. All tested compounds demonstrated notable cytotoxicity against NCI-H292 cells, with the most pronounced cytotoxic effect being displayed by [PtCl2(N(SO2)(4-Mebip)dpa)]·CH3CN (C2). Docking studies strengthen in vivo antiproliferation activity where specific interactions with AKT1, BAX, STK-11, and BCL-2 were explored. Further predictions revealed that the compounds have inhibitory effects on COX-2 and PDE10A proteins.

X-TF-GridNet: A time–frequency domain target speaker extraction network with adaptive speaker embedding fusion

Target speaker extraction (TSE) which has the capability to directly extract desired speech given enrollment utterances of the target speaker has attracted more and more attention for its potential applications in solving the cocktail-party problem. Despite the considerable progress made by existing time-domain methods, which have become the dominant approach for TSE, these methods often significantly degrade their performance under more realistic conditions. This paper proposes an innovative approach in the time–frequency (T–F) domain, namely X-TF-GridNet, which uses complex spectrum mapping to extract the real and imaginary (RI) components of the target speech. Specifically, the TF-GridNet block was designed to serve as the primary speaker extractor module. Our proposed method boasts two key extensions: first, a U2-Net style network adeptly extracts robust fixed speaker embeddings, which could efficiently capture and represent target speaker information. Second, an adaptive embedding fusion (AEA) mechanism ensures the effective utilization of target speaker information, which makes the backbone extractor focus on the speech of interest. Additionally, we also introduced a multi-task learning framework, comprising two distinct loss functions, to explicitly enhance both the discriminative speaker embeddings for the reference speech and the overall quality of the target speech. We conducted extensive ablation studies and quantitative comparisons against previous TSE methods on both the WSJ0-2mix and its noisy and reverberant counterparts. Our proposed method achieved a commendable SI-SDR of 19.7 dB with a moderate model size on the WSJ0-2mix dataset, and the SI-SDR can be improved to 20.7 dB with a larger model. Experimental results demonstrated that, compared with existing time-domain approaches, our proposed method not only achieved competitive performance across multiple objective metrics but also mitigated speaker confusion errors under more challenging conditions, including various interferences such as noises and reverberation.

Structural analysis applied to the tectonostratigraphic reconstruction of the Abadia dos Dourados Metavolcano-sedimentary Sequence, southern Brasília Orogen: Implications for the West Gondwana assemblage

Structural analysis is a valuable tool for organizing the stratigraphy of metamorphic terranes. It allows the reconstruction of pre-to sin-orogenic geological scenarios by unraveling the main transformations, such as distortion, rotation and translation, associated with the collisional process in orogenic belts. The Brasília Orogen, for example, encompasses a complex spectrum of lithological associations and structural patterns that are not well understood because this orogenic belt still has a limited coverage of detailed structural analysis work. The implications of this are problematic for the reconstruction of pre- and sin-collisional processes related to the evolution of western Gondwana. Therefore, this contribution focuses on the Abadia dos Dourados Metavolcano-sedimentary Sequence located between the states of Minas Gerais and Goiás, Brazil. The study includes a field-based structural investigation, including geologic mapping and structural analysis at various scales of observation. It was recognized that the Abadia dos Dourados Metavolcano-sedimentary Sequence comprises a bimodal volcanic association with metarhyolite, metabasalt, banded iron formation and tourmalinite, as well as metapelites and metapsamites from base to top. The data provide additional evidence for a rift-related or back-arc basin-related model for the origin of the Meso-to Neoproterozoic volcano-sedimentary sequences in the Brasília orogen. The structural framework indicates a northeast-southwest crustal shortening event associated with the collision of the Paranapanema and São Francisco-Congo crustal blocks. The event initially produced a large (about 10 km) northeast-verging recumbent fold nappe in the area, which caused a stratigraphic inversion of the metavolcanic-sedimentary sequence. The structure underwent progressive deformation, resulting in superposition patterns between folds, foliations, and intersection lineations. In addition, the structural framework suggests that the West Gondwana collage may be related to a progressive rather than a multiphase structural evolution in the southern Brasília Orogen.

Laser spectroscopy of magnetic splitting of Pr I levels in the presence of saturation effects

Laser spectroscopy is a very precise tool in determining atomic structure data. However, in the case of complex spectra, when the individual components of the spectra cannot be separated, precise analysis is hindered by the appearing saturation effect. Sometimes this effect is so large that the spectrum simulation does not provide precise results. In the present work, we present the analysis of the Zeeman spectra of seven praseodymium lines in the range of 566–652 nm, which were recorded using the LIF technique in the presence of the saturation effect. To analyze these spectra, we used a specially dedicated computer program, which allowed for very accurate matching of the simulated spectrum to the recorded experimental shape. As a result of the conducted research, we determined 14 Lande factor values, 3 of which are new.Graphic

MIND4OLIGOS: Determining the Monoisotopic Mass of Oligonucleotides Observed in High-Resolution Mass Spectrometry.

Oligonucleotide therapeutics have emerged as an important class of drugs offering targeted therapeutic strategies that complement traditional modalities, such as monoclonal antibodies and small molecules. Their unique ability to precisely modulate gene expression makes them vital for addressing previously undruggable targets. A critical aspect of developing these therapies is characterizing their molecular composition accurately. This includes determining the monoisotopic mass of oligonucleotides, which is essential for identifying impurities, degradants, and modifications that can affect the drug efficacy and safety. Mass spectrometry (MS) plays a pivotal role in this process, yet the accurate interpretation of complex mass spectra remains challenging, especially for large molecules, where the monoisotopic peak is often undetectable. To address this issue, we have adapted the MIND algorithm, originally developed for top-down proteomics, for use with oligonucleotide data. This adaptation allows for the prediction of monoisotopic mass from the more readily detectable, most-abundant peak mass, enhancing the ability to annotate complex spectra of oligonucleotides. Our comprehensive validation of this modified algorithm on both in silico and real-world oligonucleotide data sets has demonstrated its effectiveness and reliability. To facilitate wider adoption of this advanced analytical technique, we have encapsulated the enhanced MIND algorithm in a user-friendly Shiny application. This online platform simplifies the process of annotating complex oligonucleotide spectra, making advanced mass spectrometry analysis accessible to researchers and drug developers. The application is available at https://valkenborg-lab.shinyapps.io/mind4oligos/.

Gábor Transform-Based Signal Isolation, Rapid Deconvolution, and Quantitation of Intact Protein Ions with Mass Spectrometry.

High-resolution mass spectrometry (HRMS) is a powerful technique for the characterization and quantitation of complex biological mixtures, with several applications including clinical monitoring and tissue imaging. However, these medical and pharmaceutical applications are pushing the analytical limits of modern HRMS techniques, requiring either further development in instrumentation or data processing methods. Here, we demonstrate new developments in the interactive Fourier-transform analysis for mass spectrometry (iFAMS) software including the first application of Gábor transform (GT) to protein quantitation. Newly added automation tools detect signals from minimal user input and apply thresholds for signal selection, deconvolution, and baseline correction to improve the objectivity and reproducibility of deconvolution. Additional tools were added to improve the deconvolution of highly complex or congested mass spectra and are demonstrated here for the first time. The "Gábor Slicer" enables the user to explore trends in the Gábor spectrogram with instantaneous ion mass estimates accurate to 10 Da. The charge adjuster allows for easy visual confirmation of accurate charge state assignments and quick adjustment if necessary. Deconvolution refinement utilizes a second GT of isotopically resolved data to remove common deconvolution artifacts. To assess the quality of deconvolution from iFAMS, several comparisons are made to deconvolutions using other algorithms such as UniDec and an implementation of MaxEnt in Agilent MassHunter BioConfirm. Lastly, the newly added batch processing and quantitation capabilities of iFAMS are demonstrated and compared to a common extracted ion chromatogram approach.

AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.

The optimization of therapeutic antibodies through traditional techniques, such as candidate screening via hybridoma or phage display, is resource-intensive and time-consuming. In recent years, computational and artificial intelligence-based methods have been actively developed to accelerate and improve the development of therapeutic antibodies. In this study, we developed an end-to-end sequence-based deep learning model, termed AttABseq, for the predictions of the antigen-antibody binding affinity changes connected with antibody mutations. AttABseq is a highly efficient and generic attention-based model by utilizing diverse antigen-antibody complex sequences as the input to predict the binding affinity changes of residue mutations. The assessment on the three benchmark datasets illustrates that AttABseq is 120% more accurate than other sequence-based models in terms of the Pearson correlation coefficient between the predicted and experimental binding affinity changes. Moreover, AttABseq also either outperforms or competes favorably with the structure-based approaches. Furthermore, AttABseq consistently demonstrates robust predictive capabilities across a diverse array of conditions, underscoring its remarkable capacity for generalization across a wide spectrum of antigen-antibody complexes. It imposes no constraints on the quantity of altered residues, rendering it particularly applicable in scenarios where crystallographic structures remain unavailable. The attention-based interpretability analysis indicates that the causal effects of point mutations on antibody-antigen binding affinity changes can be visualized at the residue level, which might assist automated antibody sequence optimization. We believe that AttABseq provides a fiercely competitive answer to therapeutic antibody optimization.

#3033 IgA vasculitis: a unexpected diagnosis of pulmonary renal syndrome

Abstract Background IgA vasculitis is an inflammatory condition affecting blood vessels that poses a significant diagnostic and therapeutic challenge in clinical practice. Characterized by the deposition of immunoglobulin A (IgA) on vessel walls, this pathology can manifest in various ways, presenting a broad and sometimes complex clinical spectrum. Ninety percent of cases occur in the pediatric age group. Severe lung involvement, such as pulmonary hemorrhage, is rare in patients with IgAV. We present a case of a 33-year-old patient with pulmonary renal syndrome and without purpura, an atypical presentation of IgA vasculitis. Case Report We describe the case of a 33-year-old patient with no relevant medical history or regular medication, who presented to the emergency department in November 2022 with symptoms of hemoptysis, fatigue, myalgias, and pallor. On physical examination, the patient was conscious, cooperative, normotensive, tachycardic, afebrile, with bilateral axillary adenopathies, and scattered crackles on lung auscultation. Laboratory tests revealed anemia with a hemoglobin level of 5.8 g/dL, non-oliguric acute kidney injury with a creatinine level of 2.25 mg/dL, microscopic hematuria (>50/hpf), and proteinuria (UPCR of 2.8 mg/mg and UACR of 1.6 mg/mg). A chest CT scan showed bilateral and scattered ground-glass opacities consistent with alveolar hemorrhage. The patient was admitted to the Nephrology service, underwent 3 sessions of plasma exchange, and started therapy with methylprednisolone 1000 mg for 3 days. A renal biopsy revealed 24 glomeruli, with 3 showing segmental sclerosis and 1 with fibrocellular crescents, mild interstitial nephritis; immunofluorescence showed IgA+++, C3++, IgM, and IgG+- Oxford Classification: M1 E0 S1 T0 C1. Bronchofibroscopy showed a rosy bronchoalveolar lavage and macrophages with hemosiderin pigment deposition. The patient continued with prednisolone at 1 mg/kg. In January 2023 (after two months), there was a >25% reduction in albuminuria with resolution of acute kidney injury. A gradual reduction of prednisolone was initiated, and it was definitively discontinued in October 2023. In the last outpatient visit in January 2024, the patient maintained normal renal function, with no hematuria, UPCR of 100 mg/g, UACR of 70 mg/g, and no further episodes of alveolar hemorrhage. Conclusion This case stands out for its atypical presentation: an adult with alveolar hemorrhage and without other more classical manifestations of IgA vasculitis, such as purpura. This is yet another case that emphasizes the importance of the broad spectrum of diagnoses that a nephrologist should consider in the face of acute kidney injury.

Adsorption, Sensor Properties, AIM Analysis, Docking of an Anticancer Drug Benzamide on Nanocones: SERS, Solvent Effects and DFT Investigation

Using first principles, the electrical response of carbon nanocones (NC) to the drug benzamide (BZE) was investigated using density functional theory (DFT). The adsorption energies of BZE at the nanocone’s bottom (Complex I), side (Complex II), and top (Complex III) are −88.35 kcal/mol, −45.46 kcal/mol and −48.73 kcal/mol. The two other adsorptions, Complexes II and III are physisorption, however, the high value of Eads in the case of Complex I with the drop in bond lengths suggests that Complex I adsorption is chemisorption. The electrical conductivity has risen as a result of the considerable decrease in the nanocone energy gap (from 0.63 eV to 0.61 eV, 0.61 eV and 0.60 eV) caused by the adsorption of BZE. It suggests that the nanocones would be a good fit for the electronic sensors and an appropriate choice for BZE detection. Additionally, the BZE adsorption influences the nanocone’s workfunction, which is reduced by approximately 45.19%, 2.8% and 2.05% for complexes I to III. This suggests that the nanocone could be a workfunction-based sensor for the detection of BZE. The increase in binding affinity in complexes reveals that the nanocones will act as a drug delivery carrier. Theoretically, anticipated Raman spectra of BZE and complexes show SERS activity and inactive normal Raman modes are active in the Raman spectrum of complexes. Compounds II and III exhibit weak noncovalent interactions (NCI) and due to the presence of covalent bonding interaction in compound I, significant changes in other bonding and nonbonding electron densities are observed compared to compounds II and III.

Theoretical Insights into the Vibrational Structure of Carbon Dioxide Rare-Gas Complexes.

Two new flexible-monomer two-body ab initio potential energy surfaces (PESs) for the neon and krypton van der Waals complexes with carbon dioxide were developed, extending our previous work on the Ar-CO2 molecule. The accuracy of the PESs was validated by their agreement with the vibrational spectrum of the rare-gas complexes. The intermolecular and intramolecular vibrational excitation energies were computed at the vibrational self-consistent field and vibrational configuration interaction levels of theory. Overall, the agreement between theory and experiment is excellent throughout the vibrational spectra. The observed slight splitting of the bending modes, resulting from their nondegeneracy in the complexes, is confirmed by our computations, and the results qualitatively agree with the experiment. The splitting increases with increasing polarizability of the rare-gas atom. Additionally, we explain a discrepancy in the mode assignment in the intermolecular region of the neon complex with our VCI character assignment.

Unraveling the enigma of long COVID: novel aspects in pathogenesis, diagnosis, and treatment protocols.

Long COVID, now unmistakably identified as a syndromic entity encompassing a complex spectrum of symptoms, demands immediate resolution of its elusive pathogenic underpinnings. The intricate interplay of diverse factors presents a complex puzzle, difficult to resolve, and thus poses a substantial challenge. As instances of long COVID manifest by repeated infections of SARS-CoV-2 and genetic predisposition, a detailed understanding in this regard is needed. This endeavor is a comprehensive exploration and analysis of the cascading pathogenetic events driven by viral persistence and replication. Beyond its morbidity, long COVID, more disabling than fatal, exacts one of the most substantial tolls on public health in contemporary times, with the potential to cripple national economies. The paper introduces a unified theory of long COVID, detailing a novel pathophysiological framework that interlinks persistent SARS-CoV-2 infection, autoimmunity, and systemic vascular pathology. We posit a model where viral reservoirs, immune dysregulation, and genetic predispositions converge to perpetuate disease. It challenges prevailing hypotheses with new evidence, suggesting innovative diagnostic and therapeutic approaches. The paper aims to shift the paradigm in long COVID research by providing an integrative perspective that encapsulates the multifaceted nature of the condition. We explain the immunological mechanisms, hypercoagulability states, and viral reservoirs in the skull that feed NeuroCOVID in patients with long COVID. Also, this study hints toward a patient approach and how to prioritize treatment sequences in long COVID patients in hospitals and clinics.

The role of non-uniform magnetization texture for magnon–magnon coupling in an antidot lattice

We numerically study the spin-wave dynamics in an antidot lattice based on a Co/Pd multilayer structure with reduced perpendicular magnetic anisotropy at the edges of the antidots. This structure forms a magnonic crystal with a periodic antidot pattern and a periodic magnetization configuration consisting of out-of-plane magnetized bulk and in-plane magnetized rims. Our results show a different behavior of spin waves in the bulk and in the rims under varying out-of-plane external magnetic field strength, revealing complex spin-wave spectra and hybridizations between the modes of these two subsystems. A particularly strong magnon–magnon coupling, due to exchange interactions, is found between the fundamental bulk spin-wave mode and the second-order radial rim modes. However, the dynamical coupling between the spin-wave modes at low frequencies, involving the first-order radial rim modes, is masked by the changes in the static magnetization at the bulk–rim interface with magnetic field changes. The study expands the horizons of magnonic-crystal research by combining periodic structural patterning and non-collinear magnetization texture to achieve strong magnon–magnon coupling, highlighting the significant role of exchange interactions in the hybridization.

Botanical and ecological characteristics of the floristic core of woody-shrub plant communities on technogenically devastated lands (Kryvyi Rih, Ukraine)

The long-term effect of man-made impact on the environment leads to a radical change in the biogeocenotic cover, among which a special place is given to the devased lands of the Kryvyi Rih region. Their area has increased significantly over the past fifty years and continues to grow and today is more than 30 thousand hectares. hectare. The process of restoring these lands, in particular the quarry-dump type, which were formed during open-pit mining, is usually slow, the natural vegetation cover here quite specific. The present study examines the results of assessing the floristic composition, ecomorphic characteristics, and vitality of woody and shrub plants that constitute the floristic core on technogenically devastated lands. The study utilized the results of our own research conducted from 2019 to 2023 on the territory of the disturbed areas in the Kryvyi Rih iron ore region. It has been determined that the floristic core on the devastated lands of the Kryvyi Rih region consists of 19 species belonging to 15 genera and 11 families. Within the ecological spectrum of the floristic complex (core) comprising woody and shrubby species, mesoxerophytes are prevalent, succeeded by mesotrophs, with a consistent occurrence of sciophytes and heliophytes. Our results indicate that the ecological conditions of the devastated lands are relatively favorable for the growth and development of woody and shrub plant species. It was found that the vital condition of the floristic complex (core) was assessed as «weakened». The condition of woody plants suggests the relative favorability of the ecological conditions of the dump for their growth and development.

Is innovation failure just a dead end?

This paper explores whether failures in innovation projects at the firm level contribute to strengthening firms’ innovative activities and the odds of future innovation. Building on the literature on NK fitness landscapes, our paper focuses on technological complexity as a key factor that influences the response to innovation failures, guiding whether to discontinue the current path or, alternatively, to leverage the failure as a foundation for future innovation success. We then test the hypothesis derived from our model using a panel data set constituted by ten waves of the Community Innovation Survey held in the Netherlands from 1996 to 2014. Our findings show the fundamental relevance of the different forms of learning that are available to the firm. In particular, we highlight the positive role of learning after a previous innovation project has been abandoned. Previous failure in innovating produces some forms of learning inside the firms, and this learning positively contributes to subsequent successful innovation. Moreover, by differentiating between radical and incremental innovation, and between complex and less-complex innovation landscapes, we highlight the role of incremental innovation over the whole spectrum of landscape complexity, while the role of radical innovation appears to be more limited to less turbulent technological landscapes.

A National Analysis of Alcohol Withdrawal Syndrome in Patients with Operative Trauma

BackgroundAlcohol withdrawal syndrome (AWS) presents with a complex spectrum of clinical manifestations that complicate postoperative management. In trauma setting, subjective screening for AWS remains challenging due to the criticality of injury in these patients. We thus identified several patient characteristics and perioperative outcomes associated AWS development. MethodsThe 2016–2020 National Inpatient Sample was queried to identify all non-elective adult (≥18 years) hospitalizations for blunt or penetrating trauma undergoing operative management with a diagnosis of AWS. Patients with traumatic brain injury or with a hospital duration of stay <2 days were excluded. Outcomes of interest included in-hospital mortality, perioperative complications, hospitalization costs, length of stay (LOS) and non-home discharge. ResultsOf an estimated 2,965,079 operative trauma hospitalizations included for analysis, 36,415 (1.23 %) developed AWS following admission. The AWS cohort demonstrated increased odds of mortality (Adjusted Odds Ratio [AOR] 1.46, 95 % Confidence Interval [95 % CI] 1.23–1.73), along with infectious (AOR 1.73, 95 % CI 1.58–1.88), cardiac (AOR 1.24, 95 % CI 1.06–1.46), and respiratory (AOR 1.96, 95 % CI 1.81–2.11) complications. AWS was associated with prolonged LOS, (β: 3.3 days, 95 % CI: 3.0 to 3.5), greater cost (β: +$8900, 95 % CI $7900–9800) and incremental odds of nonhome discharge (AOR 1.43, 95 % CI 1.34–1.53). Furthermore, male sex, Medicaid insurance status, head injury and thoracic operation were linked with greater odds of development of AWS. ConclusionIn the present study, AWS development was associated with increased odds of in-hospital mortality, perioperative complications, and resource burden. The identification of patient and operative characteristics linked with AWS may improve screening protocols in trauma care.

Malformations of the Cerebral Commissures

AbstractMalformations of the cerebral commissures are abnormalities involving the structures which connect the brain hemispheres. The main cerebral commissures are the anterior commissure, the hippocampal commissure, and the corpus callosum, which is the largest and best known of the three and connects the neocortex of the two cerebral hemispheres. Commissures of more reduced extension are the posterior commissure and the habenular commissure. They derive embryologically from the same structure, the commensurate plate. Any interference in the embryological development of the brain commissures may cause an anomaly of all the three commissures or of a single commissure, as well as any combination of anomalies of each of them.Each of these three commissural traits may be absent, isolated, or in combination. The abnormality of the commissures, in addition, can be complete or partial, with dysplasia of the meninges, with multicystic dysplasia of the interhemispheric meninges, in the context of Aicardi syndrome or with the presence of interhemispheric lipomas.The complete agenesis of the commissures (“classic” form) is the most common form and encompasses more than a third of the cases. In complete agenesis, by definition, both the corpus callosum and the hippocampal commissure are totally absent.Anomalies of the commissural structures associated with dysplasia of the meninges include the agenesis of the corpus callosum with interhemispheric cysts (a complex spectrum of clinical and neuroradiological conditions characterized by the associated presence of an interhemispheric cyst formed by communicating cavities) and the agenesis of commissures with interhemispheric lipomas that are usually located in the subarachnoid space.Genes responsible for axonal migration to the commissural plate and those responsible for crossing and connections with the neurons of the contralateral hemisphere are multiple, so that malformations of the cerebral commissure/corpus callosum can be found in numerous malformative syndromes with other multiple associated abnormalities.