bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prospects for offshore hydrogen production in the Netherlands
Authors: van Stralen Joost , Janssen Gaby , Koornneef Joris , Scheepers Martin , Sipma Jeffrey , van der Zwaan Bob 
Published: February 2025

Abstract
Using a technology-rich optimization model for the Netherlands, we analyse the potential role of offshore energy options for system integration purposes. Our focus is on offshore hydrogen production produced by wind power in the Dutch Exclusive Economic Zone of the North Sea. We conclude that large-scale offshore green hydrogen development is a robust outcome of our scenarios. We also find that offshore green hydrogen production dominates over onshore hydrogen generation with green electricity delivered to shore through power lines in the North Sea. The main reason is the avoidance of elevated costs associated with a high voltage electricity grid at sea. We observe a large range of possible offshore hydrogen production levels, from 40 to 250 TWh/yr in 2050, depending e.g. on the level of total hydrogen demand, the availability of competing emission abatement options, and the offshore wind energy potential. After 2040 it becomes optimal to transport most energy from newly installed offshore wind capacity to shore in the form of hydrogen. Because of the long lead times involved in infrastructure planning, offshore hydrogen production and transportation should be put high on political and industrial agendas.&#xD;
Transforming abandoned mines into solar farms: a pathway to renewable energy development and sustainable land use
Authors: Mariotti Erin , Engström Johanna 
Published: February 2025

Abstract
The demand for renewable energy is becoming increasingly apparent, but a significant challenge lies in the limited availability of land. To limit environmental impacts associated with new development in previously undisturbed lands, this study investigates the potential to convert abandoned mines in Florida and Pennsylvania into solar farms, aligning with state-level clean energy goals and climate objectives. Thirteen abandoned mines in Florida and five in Pennsylvania were identified as suitable sites for solar farm development. These solar installations have the potential to generate up to 22% of Florida's and 0.017% of Pennsylvania's annual electricity needs. Employing various criteria such as acreage, slope, aspect, proximity to infrastructure, and insolation, the research assesses the feasibility of this conversion using advanced modeling techniques. The study was conducted in two phases: first, an in-depth spatial suitability assessment utilizing GIS tools (ArcGIS Pro) to evaluate potential mine sites based on specified criteria. Second, solar power potential and carbon emission reduction are estimated based on the use of two different types of solar panels. This study underscores the importance of interdisciplinary approaches in addressing environmental and energy challenges by advancing our understanding of sustainable land use practices and contributing to the collective pursuit of clean energy objectives.
Tips and Traps When Conducting Network Analysis in Practice
Authors: Petit Nicolas 
Published: February 2025

Abstract
An organizational network analysis project has the potential to generate very rich and useful relational data. In many organizations, this kind of data has never been seen before. It can offer exciting new insights about how the organization functions and is also very sensitive. It reveals how people interact with each other, including how they are bonded (or not) to one another, which, for some people, touches the very heart of who they are or would like to be. For an organizational network analysis project to succeed, it must be carefully prepared and scoped, with strong buy-in secured, and be executed flawlessly with only one purpose: to generate value for the organization and its people while respecting their integrity and privacy. Ticking all those boxes is not easy. This chapter provides tips and calls out traps to avoid.
Strategically Building Network Connections Across Geographic Markets to Improve Sales Agility and Enhance Organizational Growth
Authors: Bilgen Victor , Gideon Chris , Shah Neha Parikh 
Published: February 2025

Abstract
As market forces generate continuous change, organizations pursuing a competitive advantage must coordinate constant collaboration across geographies to meet customer needs, operate efficiently, and remain agile. However, spanning across local markets often proves difficult because of organizational structures that support long-standing patterns of regional autonomy and decision-making. In the case study presented in this chapter, a global sales organization faced challenges in achieving its strategic growth goals, despite the commitment and efforts of the chief executive officer and top management team. Critically, through organizational network analysis, collaboration barriers were diagnosed and systemic interventions were defined to enhance connectivity and agility, measuring progress over time. This chapter describes how the intentional mapping, reshaping, and mobilization of collaboration networks can drive large-scale change and unlock long-term business value.
The Role of Networks in Leadership Effectiveness
Authors: Weinberger Caton , Bauer Laura , Carter Dorothy 
Published: February 2025

Abstract
A growing body of literature examines leadership through a social network lens. According to the social network approach, leadership is a process that occurs in the relationships between people. As such, leadership effectiveness partially depends on the structure of relationships in a group. Despite widespread acknowledgment of the utility of the social network approach to leadership, there is relatively little work communicating the implications of network-based leadership research for managerial practice. The purpose of this chapter is to summarize the networks and leadership research in a way that is useful in practice. The chapter discusses the processes by which managers reveal, develop, and leverage their own networks and the networks of the groups they lead. It concludes with suggestions for productive avenues of research about leadership and social networks going forward.
CoDNet: Controlled Diffusion Network for Structure Based Drug Design
Authors: Kazi Md Fahmi , Haque Shahil Yasar , Jahan Eashrat , Chakma Latin , Shermin Tamanna , Uddin Ahmed Asif , Islam Salekul , Shatabda Swakkhar , Azim Riasat 
Published: February 2025

Abstract

Motivation
Structure-based drug design (SBDD) holds promising potential to design ligands with high binding affinity and rationalize their interaction with targets. By utilizing geometric knowledge of the three-dimensional structures of target binding sites, SBDD enhances the efficacy and selectivity of therapeutic agents by optimizing binding interactions at the molecular level. Here we present CoDNet, a novel approach that combines the conditioning capabilities of ControlNet with the potency of the Diffusion model to create generative frameworks for molecular compound design. This proposed method pioneers the application of ControlNet in diffusion model-based drug development. Its ability to generate drug-like compounds from 3D conformations is prominent due to its capability to bypass Open Babel post-processing and integrate bond details and molecular information.

Results
For the gold standard QM9 dataset, CoDNet outperforms existing state-of-the-art methods with a validity rate of 99.02%. This competitive performance underscores the precision and efficacy of CoDNet's drug design, establishing it as a significant advancement with great potential for enhancing drug development initiatives.

Availability and implementation
https://github.com/CoDNet1/EDM_Custom
Diffuse nuclear Overhauser effect MRI contrast changes detected in multiple sclerosis subjects at 7T
Authors: Jacobs Paul S , Swain Anshuman , Wilson Neil , Liu Fang , Benyard Blake , Spangler Bailey , Seitz Madeleine , Fu Allen , Nanga Ravi Prakash Reddy , Elliott Mark A , Bar-Or Amit , Detre John , Murphy Jennifer Orthmann , Schindler Matthew K , Reddy Ravinder 
Published: February 2025

Abstract
Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21–70 years)] and 10 healthy controls [5 females, 5 males (23–71 years)]} on a 7T MRI system with a frequency offset range of −5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T1 maps. Grey and white matter tissues were segmented using the T1 maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T1 maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases.
Neural correlates of uncertainty processing in psychosis spectrum disorder
Authors: Fromm Sophie Pauline , Wieland Lara , Deneault Alix , Heinz Andreas , Katthagen Teresa , Schlagenhauf Florian 
Published: February 2025

Abstract
Psychotic beliefs are typically held with high certainty. Altered computation of uncertainty about a belief and about environmental dynamics may be an underlying mechanism of psychotic symptoms. We set out to shed light on behavioral and neural correlates of uncertainty processing and how it drives belief updating in psychosis.
This cross-sectional study included 19 participants with psychosis spectrum disorder (5 female 14 male) and 40 healthy control participants (21 female, 19 male) between 18-65 years of age. Participants performed a predictive inference task that required belief updating of a noisy outcome in a suddenly changing environment during functional magnetic resonance imaging. Behavioral and imaging data was analyzed with a computational model that approximates an ideal Bayesian observer. The model expects beliefs to be updated based on the relative belief uncertainty and environmental change point probability. Task performance, model parameters and associated neural activation were compared between groups and associated with self-reported delusional ideation and cognitive functioning.
While the belief updating speed overall did not differ between groups, the psychosis group showed lower task performance. Lower performance was associated with higher self-reported delusional ideation, even when controlling for cognitive functioning. Persons with psychosis spectrum disorder tended to persevere on beliefs after large prediction errors that signal environmental changes. They informed belief updates less by the probability of environmental change points, although this capacity seemed to depend on general cognitive functioning. The psychosis group also encoded the change point probability less in the superior occipital and fusiform gyrus, as well as a cluster comprising precentral to middle frontal gyrus. Activity in these clusters was associated with lower self-reported delusional ideation across the whole sample and lower general and negative symptoms in the clinical sample.
Persons with psychosis spectrum disorder did not seem to overestimate environmental volatility in general. Instead, they showed altered processing of information that occurred after environmental change points, whose probability was less well represented in brain regions encoding visual surprise and motor responses. Possibly, persons with psychosis spectrum disorder inadequately integrated visual surprise signals, leading to ineffective transmission to motor regions that eventually guide behavior. Summarizing, our study suggests that delusions could result from a tendency to stick to old beliefs even in the light of contrary evidence, due to a failure to integrate uncertainty information based on inferred environmental dynamics.
Ascending aorta over-angulation is a risk factor for acute type A aortic dissection: evidence from advanced finite element simulations
Authors: Ianniruberto Ione , Lo Presti Federica , Bifulco Olimpia , Tondi Davide , Saitta Simone , Astori Davide , Galgano Viviana L , De Feo Marisa , Redaelli Alberto , Di Eusanio Marco , Votta Emiliano , Della Corte Alessandro 
Published: February 2025

Abstract

OBJECTIVES
To assess whether ascending aorta over-angulation, a morphological feature recently found to be associated with acute type A aortic dissection, precedes dissection and how it affects wall stress distribution.

METHODS
A baseline finite element model, previously created by a neural network tool from end-diastolic CTA measurements in 124 healthy subjects, was modified to simulate the over-angulation accompanying aortic elongation, obtaining paradigmatic models with different ascending angulations (ascending-arch angle 145°-110°). The models were discretized and embedded in a deformable continuum representing surrounding tissues, aortic wall anisotropy and nonlinearity were accounted for, pre-tensioning at diastolic pressures was applied and peak systolic stresses were computed. Then, from 15 patients’ pre-dissection geometries, patient-specific finite element models of pre-dissection aorta were created through the same framework. The sites of maximum longitudinal stress were compared with the respective sites of dissection entry tear in post-dissection imaging.

RESULTS
Paradigmatic models showed that progressive narrowing of the ascending-arch angle was associated with increasing longitudinal stress (becoming significant for angles &lt;130°), whereas the impact on circumferential stress was less consistent. In pre-dissection patient-specific models, the ascending-arch angle was narrowed (113°±11°) and the region of peak longitudinal stresses corresponded to the entry tear location in the respective post-dissection CTA.

CONCLUSIONS
This study strongly supports the hypothesis that the ascending-arch angle, as quantifier of aorta over-angulation, can be a good predictor of aortic dissection, since its narrowing below 130° increases longitudinal wall stress, and the dissection entry tears develop in the aortic wall in areas of highest longitudinal stress.
Assessing the environmental impact of coronary artery bypass grafting to decrease its footprint
Authors: Van Bree Egid M , Stobernack Tim , Boom Tadzjo , Geene Klaske , Kooistra Emma J , Li Wilson , Brakema Evelyn A , Golsteijn Laura , Hemelaar Pleun , Mcalister Scott , Mcgain Forbes , Van Zelm Rosalie , Touw Hugo R W 
Published: February 2025

Abstract

OBJECTIVES
An urgent transition to environmentally sustainable healthcare is required. The purpose of this study was to identified key areas for environmental impact mitigation for a coronary artery bypass grafting trajectory.

METHODS
An ISO14040/44-standardised life cycle assessment was conducted for the functional unit of an individual patient trajectory of elective coronary artery bypass grafting surgery, from operating room admission until intensive care unit discharge. Data were collected for products, processes, and services required for care delivery in a Dutch academic hospital for 12 patients. The environmental impact was calculated using the ReCiPe 2016 method.

RESULTS
A single patient trajectory caused 414 [IQR 383–461] kg CO2 equivalents of global warming, equal to 2,753km of driving an average Dutch petrol-fuelled car. Other notable environmental impacts were fine particulate matter, (non-)carcinogenic toxicity, land use, and terrestrial acidification. Operating room disposable products (162 kgCO2eq), energy use (48 kgCO2eq), and employee commute (36 kgCO2eq) contributed most to global warming. The extracorporeal circulation set, surgical drapes, intraoperative salvage set, surgical gowns, and cotton gauzes caused most of the disposables’ environmental impact. Most energy use occurred in the operating room via heating, ventilation, and air conditioning.

CONCLUSIONS
A coronary artery bypass grafting trajectory’s environmental impact primarily contributed to global warming. Most impact mitigation could be achieved by avoiding/reducing disposable product use when possible, or replacing these with reusables. Optimising operating room energy systems, switching to renewable energy, and encouraging low-emission employee commute can further reduce the environmental impact.
Classic hemiarch versus hemiarch and hybrid noncovered open stenting for acute DeBakey Type I dissection—a propensity score-matched analysis
Authors: Pitts Leonard , Montagner Matteo , Kofler Markus , Seeber Fabian , Heck Roland , Sündermann Simon , Buz Semih , Starck Christoph , Falk Volkmar , Kempfert Jörg 
Published: February 2025

Abstract

OBJECTIVES
This study investigates early and midterm outcomes after surgery for acute DeBakey type I dissection between classic hemiarch replacement or additional open noncovered stenting of the aortic arch.

METHODS
Patients who underwent surgery for acute DeBakey type I dissection receiving solely hemiarch replacement (2015–2022) or additional open noncovered stenting of the aortic arch (2018–2022) using the “Ascyrus Medical Dissection Stent” (AMDS) were included. After propensity score matching, the groups were compared in terms of clinical and radiological outcomes.

RESULTS
A total of 261 patients (155 hemiarch, 106 AMDS) were included. After matching, the cohort comprised two balanced groups with 108 patients (54 each group): thirty-day mortality was 19% in the hemiarch group vs 15% in the AMDS group (p = 0.61, OR = 0.77 (CI 0.27–2.12)). New postoperative stroke (p = 0.99, OR = 0.98 (CI 0.11–8.43)) and revision for malperfusion did not differ (p = 0.38, OR = 1.70 (CI 0.53–5.99)). The incidence of new distal anastomotic entries was significantly lower in the AMDS group with 17% vs 45% in the hemiarch group (p = 0.028, OR = 0.35 (CI 0.13–0.87)). True lumen expansion was significantly improved in the aortic arch (p = 0.006, OR = 3.15 (CI 1.41–7.34)) and stented portion of the descending aorta (p &lt; 0.001, OR = 8.51 (CI 3.65–21.24)) as well as false lumen thrombosis in the aortic arch (p = 0.048, OR = 2.24 (CI 1.02–5.07)). Two-year survival did not differ (p = 0.170).

CONCLUSIONS
Additional AMDS implantation shows similar clinical outcomes, reduces the risk for new distal anastomotic entries and may be associated with superior positive aortic remodelling in the aortic arch and stented portion of the descending aorta. Long-term results regarding aortic remodelling and reintervention rate are highly needed.
Impact of a lambda-cyhalothrin formulation residues on larval Apis mellifera: Examining midgut and fat body morphological response to insecticide chronic exposure
Authors: Nere Pedro Henrique Ambrosio , Kern Rebecca Rey-Chai , Carneiro Lenise Silva , Lima Bárbara Soares Amoroso , Souza Diego dos Santos , Serrão José Eduardo 
Published: February 2025

Abstract
Pollination by honey bees (Apis mellifera) is crucial for maintaining biodiversity and crop yields. However, the widespread use of pesticides may threaten bees' survival by contaminating their resources. Lambda-cyhalothrin, a neurotoxic insecticide commonly used in agricultural pest control, poses particular risks. In insects, the midgut and fat body serve as primary barriers against xenobiotics, and exposure to these chemicals during larval development can impact adult bees. This study aimed to assess whether the residual concentration of lambda-cyhalothrin in pollen grains affects the midgut and fat body of larval A. mellifera workers after chronic exposure. The midgut epithelium of larvae exposed to a lambda-cyhalothrin-based insecticide exhibited autophagic vacuoles, apical cell protrusions, apocrine secretion, nuclear pyknosis, and high levels of polysaccharides and glycoconjugates in the cytoplasm, with smaller amounts in the brush border. Histochemical analysis revealed areas of vacuolation and damage to cell integrity in the midgut. In fat body cells, the insecticide increased polysaccharide storage and decreased lipid droplet diameter. Despite the histopathological damages, no effects were found in the larval development and adult emergence. These findings suggest the occurrence of apoptosis and autophagy in midgut cells and alterations in nutrient storage in the fat body of A. mellifera larvae exposed to the lambda-cyhalothrin-based insecticide, potentially impacting the physiology and development of this pollinator with possible effects on adult workers.
The Histone Chaperone Spn1 Preserves Chromatin Protections at Promoters and Nucleosome Positioning in Open Reading Frames
Authors: Tonsager Andrew J , Zukowski Alexis , Radebaugh Catherine A , Weirich Abigail , Stargell Laurie A , Ramachandran Srinivas 
Published: February 2025

Abstract
Spn1 is a multifunctional histone chaperone that associates with RNA polymerase II during elongation and is essential for life in eukaryotes. While previous work has elucidated regions of the protein important for its many interactions, it is unknown how these domains contribute to the maintenance of chromatin structure. Here, we employ digestion by micrococcal nuclease followed by single-stranded library preparation and sequencing (MNase-SSP) to characterize chromatin structure in Saccharomyces cerevisiae expressing wild-type or mutants of Spn1 (spn1K192N or spn1141-305). We mapped protections of all sizes genome-wide. Surprisingly, we observed a widespread loss of short fragments over nucleosome-depleted regions (NDRs) at promoters in the spn1K192N-containing strain, indicating critical functions of Spn1 in maintaining normal chromatin architecture outside open reading frames. Additionally, there are shifts in DNA protections in both Spn1 mutant expressing strains over open reading frames, which indicate changes in nucleosome and subnucleosome positioning. This was observed in markedly different Spn1 mutant strains, demonstrating that multiple functions of Spn1 are required to maintain proper chromatin structure in open reading frames. Changes in chromatin structure correlate positively with changes in gene expression as shown by RNA-seq analysis in the Spn1 mutant strains. Taken together, our results reveal a previously unknown role of Spn1 in the maintenance of NDR architecture and deepen our understanding of Spn1-dependent chromatin maintenance over transcribed regions.