bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenging frontiers in neuroplastic cranial reconstruction: addressing neurosurgical wound healing complications through interdisciplinary collaboration – an observational study
Authors: Aufschnaiter-Hiessboeck Kathrin M. , Stefanits Harald , Rossmann Tobias , Aichholzer Martin , Senker Wolfgang , Rauch Philip , Wagner Helga , Hermann Philipp , Gmeiner Matthias , Gruber Andreas , Schmidt Manfred 
Published: October 2024

Abstract

Background and objectives
Although rare, complications like skin dehiscence and necrosis after neurosurgery pose significant challenges by increasing the risk of infections spreading to the epidural, subdural, or intracerebral spaces. This retrospective, single-center study aims to assess the prior clinical courses, neuroplastic repair, and outcomes of patients with skin defects following cranial neurosurgical procedures, and to outline our interdisciplinary reconstructive protocol.

Methods
A retrospective analysis was performed on cranial surgeries conducted at the Department of Neurosurgery, spanning from 2017 to 2023. Patients with skin defects requiring the combined expertise of neurosurgery and plastic surgery for effective treatment were included. The sizes of the skin defects were measured using intraoperative photographs analyzed with the freeware ImageJ software, version 2018. All patients provided informed consent for the surgeries. If informed consent was not possible due to neurological deterioration, consent was sought from adult representatives or next of kin except for acute circumstances. All patients admitted to our hospital agree to the pseudonymized use of their medical data and tissue specimens for research purposes in their treatment contract.

Results
A cohort of 24 patients experiencing wound healing complications after neurosurgical procedures underwent a total of 29 interdisciplinary surgeries for the reconstruction of skin, dural, and bone defects. After the neuroplastic surgery, 8 out of 24 patients (33.3%) developed surgical complications, with 6 of these requiring revision surgeries due to persistent cranial infection. In all cases, permanent wound closure was successfully achieved following adherence to the proposed treatment algorithm.

Conclusions
Our study underscores the necessity of an integrated neurosurgical and plastic surgical approach to effectively manage wound healing complications in a single stage surgery. Key interventions include differentiation between necrosis and gaping lesions, alongside precise management of neurosurgical issues like cerebrospinal fluid fistulas and hydrocephalus. Plastic surgical expertise in assessing the possibilities and limitations of both local and free flap surgeries is essential.
Optimal asset allocation and nonlinear return predictability from the dividend-price ratio
Authors: Ghezzi Fabrizio , Sarkar Anindo , Pedersen Thomas Quistgaard , Timmermann Allan 
Published: October 2024

AbstractWe study non-linear predictability of stock returns arising from the dividend-price ratio and its implications for asset allocation decisions. Using data from five countries — U.S., U.K., France, Germany and Japan — we find empirical evidence supporting non-linear and time-varying models for the equity risk premium. Building on this, we examine several model specifications that can account for non-linear return predictability, including Markov switching models, regression trees, random forests and neural networks. Although in-sample return regressions and portfolio allocation results support the use of non-linear predictability models, the out-of-sample evidence is notably weaker, highlighting the difficulty in exploiting non-linear predictability in real time.
Addressing companies’ low-carbon transition challenges requires diversified investments in environmental initiatives
Authors: Cenci Simone , Tang Samuel 
Published: October 2024

AbstractThe energy, utilities, industrial, and material sectors are crucial suppliers of essential goods and services, but their business operations are among the largest sources of anthropogenic greenhouse gas emissions. Consequently, companies in these sectors play a pivotal role in the low-carbon transition and face substantial stakeholder pressure to manage their transition risks and reduce their environmental impact. Here, we argue that effective responses to transition challenges require diversifying investments in adaptation and mitigation initiatives across a broad range of activities and goals. Analysing financial and nonfinancial data from a global sample of publicly traded companies, we find that those who extensively diversify their investments are better able to reduce their emissions over time. Diversification also reduces carbon pricing risk, thereby lowering exposure to transition risks, under several climate policy scenarios. Our findings provide empirical evidence that business leaders in critical sectors for the low-carbon transition should incorporate well-diversified investments in adaptation and mitigation initiatives into their sustainability strategies to manage interconnected transition challenges.
On a minimization problem of the maximum generalized eigenvalue: properties and algorithms
Authors: Nishioka Akatsuki , Toyoda Mitsuru , Tanaka Mirai , Kanno Yoshihiro 
Published: October 2024

Abstract
We study properties and algorithms of a minimization problem of the maximum generalized eigenvalue of symmetric-matrix-valued affine functions, which is nonsmooth and quasiconvex, and has application to eigenfrequency optimization of truss structures. We derive an explicit formula of the Clarke subdifferential of the maximum generalized eigenvalue and prove the maximum generalized eigenvalue is a pseudoconvex function, which is a subclass of a quasiconvex function, under suitable assumptions. Then, we consider smoothing methods to solve the problem. We introduce a smooth approximation of the maximum generalized eigenvalue and prove the convergence rate of the smoothing projected gradient method to a global optimal solution in the considered problem. Also, some heuristic techniques to reduce the computational costs, acceleration and inexact smoothing, are proposed and evaluated by numerical experiments.
Determination of phytochemical quality of leaves Vaccinium vitis-idaea L. and Vaccinium myrtillus L. from the polluted and non-polluted areas
Authors: Petruľová Veronika , Bačkorová Miriam 
Published: October 2024

AbstractElemental composition of Vaccinium myrtillus L. and Vaccinium vitis-idaea L. has not been determined yet in detail. In our study, a scanning electron microscope coupled with an energy dispersive X-ray analyser (SEM–EDX) ensured the determination of 15 elements in the leaves of Vaccinium sp. growing in the control and the mine polluted locality. The soil elemental analyses showed a higher content of 11 elements from all determined in the mine-influenced samples. Elemental analyses of the control leaves showed the highest contents of all determined elements for V. vitis-idaea, except for carbon. The impact of pollution on V. myrtillus leaves caused significant increase in oxygen, natrium, magnesium, sulphur, chlorine, potassium and calcium content. The contents of carbon, nitrogen and silicon decreased substantially. In the case of the V. vitis-idaea leaves, the content of most of elements reduced, and in the case of six elements, even significantly. A significant increase was recorded for carbon, iron and copper. The effect of the environment has influenced the production of phytochemicals, assessed by HPLC–DAD. The production of flavonoids (hyperoside, isoquercetin) increased significantly in V. myrtillus and decreased to a detectable minimum in V. vitis-idaea. In the case of chlorogenic acid, arbutin and hydroquinone, their levels changed minimally in V. myrtillus, but significantly more in the V. vitis-idaea leaves. The importance of elemental analyses lies in detecting the presence of toxic elements or their harmful concentrations in plants that are the source of food or dietary supplements.
Toward a theory on programmer’s block inspired by writer’s block
Authors: Schantong Belinda , Siegmund Norbert , Siegmund Janet 
Published: October 2024

Abstract

Context
Programmer’s block, akin to writer’s block, is a phenomenon where capable programmers struggle to create code. Despite anecdotal evidence, no scientific studies have explored the relationship between programmer’s block and writer’s block.

Objective
The primary objective of this study is to study the presence of blocks during programming and their potential causes.

Method
We conducted semi-structured interviews with experienced programmers to capture their processes, the problems they face, and potential causes. Subsequently, we analyzed the responses through the lens of writing.

Results
We found that among the programmer’s problems during programming, several display strong similarities to writer’s block. Moreover, when investigating possible causes of such blocks, we found a strong relationship between programming and writing activities as well as typical writing strategies employed by programmers.

Conclusions
Strong similarities between programming and writing challenges, processes, and strategies confirm the existence of programmer’s block with similar causes to writer’s block. Thus, strategies from writing used to resolve blocks should be applicable in programming, helping developers to overcome phases of being stuck. Research at the intersection of both areas could lead to productivity gains through reduced developer downtimes.
Analytical solutions for steady groundwater flow through aquifer folds and faults
Authors: Bakker Mark , Anderson Erik 
Published: October 2024

AbstractDeformations of the earth’s crust create tortuous paths for groundwater flow, altering pressure distributions and flow lines. A solution for steady groundwater flow through a deformed aquifer is derived by applying the singular point method using a rectangular reference plane. The singular point method is used to develop conformal mappings with complex geometries using basic principles of groundwater mechanics including superposition, the method of images, and stagnation point analysis. The derived solution contains three parameters that can be chosen to simulate flow through a variety of deformed aquifers, including flow through a normal fault with a $$\hbox {90}^\circ $$

90
∘

dip, flow through a fold, and flow through a relay ramp.
Polysaccharide, Conjugate, and mRNA-based Vaccines are Immunogenic in Patients with Netherton Syndrome
Authors: Nouwen Anouk E. M. , Zaeck Luca M. , Schappin Renske , Geers Daryl , Gommers Lennert , Bogers Susanne , Dik Willem A. , Pasmans Suzanne G. M. A. , GeurtsvanKessel Corine H. , de Vries Rory D. , Dalm Virgil A. S. H. 
Published: October 2024

Abstract
Background
Netherton syndrome (NS) is a rare, severe genetic skin disorder, currently classified as an inborn error of immunity (IEI) due to previously reported immune dysregulation. We recently reported the results of an immunological evaluation showing no evidence for a relevant B- and/or T-cell mediated immunodeficiency, but immune responses after vaccination were not evaluated in that study. Therefore, we evaluated immune responses to three vaccine platforms in adult NS patients to further investigate the presence of a clinically relevant B- and/or T-cell immunodeficiency.

Methods
Vaccination responses in eight adult NS patients were assessed in a cross-sectional study performed between January and August 2022. Clinical patient data were retrospectively retrieved from electronic patient files. Immune responses to a polysaccharide Streptococcus pneumoniae vaccine (PPV23) and conjugate Haemophilus influenzae type b vaccine (ActHiB) were measured. SARS-CoV-2-specific (functional) antibody and T-cell responses following booster vaccination with an mRNA-based COVID-19 vaccine were compared to controls.

Results
None of the included patients suffered from recurrent and/or severe infections that could be attributed to a B- and/or T-cell immunodeficiency. ActHiB induced immune responses were normal in 7/7 NS patients. PPV23 induced responses were absent in 1/7, diminished in 2/7, and normal in 4/7 patients. Levels of SARS-CoV-2-specific binding and neutralizing antibodies after mRNA-based COVID-19 booster vaccination in NS patients were comparable to controls. SARS-CoV-2-specific CD4 + T-cell responses were detectable in all NS patients. In contrast, SARS-CoV-2-specific CD8 + T-cell responses were detectable in only 2/6 NS patients. T-cell responses to a positive control antigen pool were comparable to controls.

Conclusions
Vaccine-induced immune responses were detectable after polysaccharide, conjugate and mRNA-based vaccination in our cohort of NS patients. A spectrum of responsiveness to vaccine challenges was found, with the ranges of vaccine responses overlapping those demonstrated in healthy control populations.
Intergenerational Domination
Authors: Hemmerich Luca 
Published: October 2024

AbstractThe political and ethical status of future generations is commonly discussed within conceptual frameworks like intergenerational justice, rights, or welfare. In this article, I argue that the concept of domination can provide a novel perspective on the philosophy of intergenerational relations. To that end, I first advance and defend a (slightly) revised conception of domination, drawing on Philip Pettit’s neorepublican view. Second, I establish a prima facie case for the existence of intergenerational domination and address four major objections to the claim that the present generation dominates future generations: the non-concurrency challenge, a modified version of the non-identity problem, the inescapability objection, and the problem of historical domination. Finally, I explore some implications and conceptual advantages of the framework of intergenerational domination. As a theoretical foundation of a comprehensive analysis of structures of domination, the proposed framework may contribute to identifying and reducing domination within and across generations.
Static and dynamic aspects of the principle of virtual work
Authors: Jarzębowska Elżbieta , Grzesikiewicz Wiesław , Makowski Michał , Zbiciak Artur , Rutczyńska-Wdowiak Katarzyna 
Published: October 2024

AbstractThe paper presents a detailed analysis of the principle of virtual work in its statics and dynamics aspects. Special attention is paid to not exact formulation and interpretation of mechanical system motion equations based upon this principle, what is presented quite often in text books. The general form of the principle of virtual work and variational formulations of the problems in statics are presented and analyzed. Additionally, the dynamic implications of the principle of virtual work and dynamics problem formulation of a system subjected to scleronomic constraints are detailed. The basis for the formulation is the dynamic implication of the principle of virtual work that specifies the relation between the constraint reactions and the body accelerations. This relation takes the form of the variation inequality. As the result, the Gauss principle which determines the body acceleration vector is presented. Furthermore, a description of impact formulation, based upon the Carnot model, caused by the constraints is provided. The theoretical development is illustrated with examples of applications of the principle of virtual work.
Long-term trends of publications in journal of neuro-oncology: a bibliographic study of a core journal in the field of neuro-oncology
Authors: Maroufi S. Farzad , Maroufi S. Parmis , Fallahi Mohammad Sadegh , Sheehan Jason P. 
Published: October 2024

Abstract
Purpose
The Journal of Neuro-Oncology (JNO), established in 1983, plays a key role in publishing research on brain and spinal cord tumors. This study examines JNO’s publication trends, focusing on country and gender representation to highlight its global impact.

Methods
Statistical analyses were conducted using R. Gender of the first authors was predicted using a gender-guesser, and author affiliations were used to determine publication countries. We introduced a novel Country-Related Diversity (CRD) index to assess the JNO’s representativeness, comparing a country’s JNO publications to its overall neurosurgical output. An index value of 1 indicates proportional representation.

Results
The JNO corpus, spanning from 1983 to 2024, comprises 8,154 documents with an average document age of 14.4 years. The average citation count per document is 28.71, with a rate of 2.16 citations per document per year. JNO’s scientific output has grown significantly, peaking at 397 articles in 2011, with a long-term annual growth rate of 3.7%. The keyword analysis highlights “glioblastoma” as the most frequent term, reflecting the journal’s neuro-oncological focus. Geographically, the U.S. led with 2,535 articles (40.1%), followed by China and Germany. International collaboration rose steadily, with multi-country publications increasing from 4.76% in 1983 to 20.98% in 2024. Analyzing contributions from different countries showed a converging CRD index toward 1 (P < 0.01), with U.S. and non-U.S. countries trending similarly. Upper-middle-income countries displayed fluctuating CRD patterns, whereas lower-middle-income countries lagged behind. Authorship analysis showed an increasing trend in co-authorship (P < 0.01), with the average number of authors per paper reaching 10.4 by 2024. Gender representation revealed a growing number of female first and senior authors, although males still dominate. By 2024, 32.9% of first authors and 21.6% of senior authors were female, signaling a gradual trend toward gender parity (P < 0.01).

Conclusions
The CRD index offers a standardized measure of country-specific research representation in the JNO. The convergence towards 1 reflects balanced international representation. JNO publication also reflects a trend toward gender equity, with a notable rise in female first authors, enhancing global research inclusivity.
Grass species and mycorrhizal fungi improved aggregate stability of compacted and vegetated soils
Authors: Li Minghui , Chen Xun Wen , Leung Anthony Kwan 
Published: October 2024

Abstract
Aim
Compaction of slope soils can substantially hinder root penetration of grass cover, which may be alleviated through the colonisation of arbuscular mycorrhizal (AM) fungi and aggregate stabilisation. We investigated aggregate stabilisation and breakdown mechanisms in compacted dense mycorrhizal soils.

Methods
A pot-culture experiment with seven treatments (five replicates per treatment) was implemented. In a local decomposed granitic soil, we inoculated two grass species (Chrysopogon ziaanioides and Cynodon dactylon) with AM fungi. We used loose soil to grow C. dactylon to compare it with compacted dense soil, as well as pots without a plant and/or fungal inoculation for comparison. After 20 weeks of cultivation, we measured root and AM fungal characteristics, soil organic matter and aggregate properties by dry sieving, wet sieving and Le Bissonnais methods.

Results
Compaction led to the formation of macro-aggregates (> 0.25 mm) but had a negative influence on the aggregate stability. The fungal inoculation increased polysaccharide production and aggregate stability in the compacted soil vegetated with C. dactylon. The inoculated C. ziaanioides showed a similar level of aggregate stability as the inoculated C. dactylon, but the uninoculated group demonstrated higher aggregate stability compared with the inoculated group owing to root decomposition. The aggregate stability against various breakdown mechanisms was related to the established aggregate hierarchy and qualitative organic matter inputs.

Conclusion
Soil organic matter supplied by grass species together with the mediation of AM fungal hyphae played a crucial role in the systemic enhancement of aggregate stability in the compacted soil.
On the application of Gaussian graphical models to paired data problems
Authors: Ranciati Saverio , Roverato Alberto 
Published: October 2024

AbstractGaussian graphical models are nowadays commonly applied to the comparison of groups sharing the same variables, by jointly learning their independence structures. We consider the case where there are exactly two dependent groups and the association structure is represented by a family of coloured Gaussian graphical models suited to deal with paired data problems. To learn the two dependent graphs, together with their across-graph association structure, we implement a fused graphical lasso penalty. We carry out a comprehensive analysis of this approach, with special attention to the role played by some relevant submodel classes. In this way, we provide a broad set of tools for the application of Gaussian graphical models to paired data problems. These include results useful for the specification of penalty values in order to obtain a path of lasso solutions and an ADMM algorithm that solves the fused graphical lasso optimization problem. Finally, we carry out a simulation study to compare our method with the traditional graphical lasso, and present an application of our method to cancer genomics where it is of interest to compare cancer cells with a control sample from histologically normal tissues adjacent to the tumor. All the methods described in this article are implemented in the package available at https://github.com/savranciati/pdglasso.
Removal of Pesticides from Water by Adsorption on Activated Carbon Prepared from Invasive Plants
Authors: Motúzová Tereza , Koutník Ivan , Vráblová Martina 
Published: October 2024

AbstractPesticide pollution of surface water is a serious global problem. This research was focused on the monitoring of pesticides in surface waters and their subsequent removal using adsorption on activated carbon (AC). Based on the monitoring, four pesticides—acetamiprid, diethyltoluamide, thiacloprid and thiamethoxam—occurred in higher concentrations in all sampling points. Invasive plants occurring near monitored water bodies, Reynoutria japonica (RJ) and Impatiens glandulifera (IG) were used for the preparation of activated carbon with an activating agent (H3PO4 and NaOH) using microwave pyrolysis. The prepared AC was subsequently used for adsorption of the above-mentioned pesticides. The prepared AC was characterized by Brunauer–Emmett–Teller analysis, elemental analysis, Fourier transform infrared spectroscopy and scanning electron microscopy. Individual AC types showed different effects for different pesticides. The maximum adsorption capacity calculated from the Langmuir model was 18.30 mg g−1 for thiacloprid on H3PO4-activated AC from I. glandulifera.
Arbeitgeberattraktivität durch betriebliche Gesundheitsförderung: Eine Strategie für das Employer Branding?
Authors: Arnold Jessica , Kotte Silja 
Published: October 2024

ZusammenfassungAngesichts des Arbeitskräftemangels investieren Unternehmen zunehmend in Employer Branding, um sich als Arbeitgeber auf dem Bewerbermarkt positiv zu positionieren. Gleichzeitig steigt das Bewusstsein für die Bedeutung von Gesundheit bei Einzelnen und Unternehmen. Kann daher Betriebliche Gesundheitsförderung (BGF) und die Kommunikation darüber die Arbeitgeberattraktivität erhöhen? In einer szenario-basierten experimentellen Online-Studie beurteilten die Studienteilnehmenden aus der Bewerber:innen-Rolle die Attraktivität eines Unternehmens auf Basis eines Unternehmensflyers mit vs. ohne Informationen über BGF-Angebote. BGF-Kommunikation hat einen positiven Effekt auf die Arbeitgeberattraktivität, unabhängig von Geschlecht, Bildungsstand und Alter. Die BGF-Kommunikation sollte vor allem authentisch, umfassend und transparent sein und etablierte Online-Kanäle nutzen.