bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolomic prediction of severe maternal and newborn complications in preeclampsia
Authors: Idler Jay , Turkoglu Onur , Yilmaz Ali , Ashrafi Nadia , Szymanska Marta , Ustun Ilyas , Patek Kara , Whitten Amy , Graham Stewart F. , Bahado-Singh Ray O. 
Published: May 2024

Abstract
Introduction
Preeclampsia (PreE) remains a major source of maternal and newborn complications. Prenatal prediction of these complications could significantly improve pregnancy management.

Objectives
Using metabolomic analysis we investigated the prenatal prediction of maternal and newborn complications in early and late PreE and investigated the pathogenesis of such complications.

Methods
Serum samples from 76 cases of PreE (36 early-onset and 40 late-onset), and 40 unaffected controls were collected. Direct Injection Liquid Chromatography–Mass Spectrometry combined with Nuclear Magnetic Resonance (NMR) spectroscopy was performed. Logistic regression analysis was used to generate models for prediction of adverse maternal and neonatal outcomes in patients with PreE. Metabolite set enrichment analysis (MSEA) was used to identify the most dysregulated metabolites and pathways in PreE.

Results
Forty-three metabolites were significantly altered (p < 0.05) in PreE cases with maternal complications and 162 metabolites were altered in PreE cases with newborn adverse outcomes. The top metabolite prediction model achieved an area under the receiver operating characteristic curve (AUC) = 0.806 (0.660–0.952) for predicting adverse maternal outcomes in early-onset PreE, while the AUC for late-onset PreE was 0.843 (0.712–0.974). For the prediction of adverse newborn outcomes, regression models achieved an AUC = 0.828 (0.674–0.982) in early-onset PreE and 0.911 (0.828–0.994) in late-onset PreE. Profound alterations of lipid metabolism were associated with adverse outcomes.

Conclusion
Prenatal metabolomic markers achieved robust prediction, superior to conventional markers for the prediction of adverse maternal and newborn outcomes in patients with PreE. We report for the first-time the prediction and metabolomic basis of adverse maternal and newborn outcomes in patients with PreE.
Toxicity of two heavy rare earth elements to freshwater mussels Dreissena polymorpha
Authors: Hanana Houda , Auclair Joëlle , Turcotte Patrice , Gagnon Christian , Gagné François 
Published: May 2024

AbstractRare earth elements (REE) are essential components of many electronic devices that could end-up in solid waste disposal sites and inadvertently released in the environment. The purpose of this study was to examine the toxicity of two heavy REEs, erbium (Er) and lutetium (Lu), in freshwater mussels Dreissena polymorpha. Mussels were exposed to 14 days to increasing concentration (10, 50, 250, and 1250 µg/L) of either Er and Lu at 15 °C and analyzed for gene expression in catalase (CAT), superoxide dismutase (SOD), metallothionein (MT), cytochrome c oxidase (CO1), and cyclin D for cell cycle. In addition, lipid peroxidation (LPO), DNA damage (DNAd), and arachidonate cyclooxygenase were also determined. The data revealed that mussels accumulated Er and Lu similarly and both REEs induced changes in mitochondrial COI activity. Er increased cell division, MT, and LPO, while Lu increased DNAd and decreased cell division. Tissue levels of Er were related to changes in MT (r = 0.7), LPO (r = 0.42), CO1 (r = 0.69), and CycD (r = 0.31). Lu tissue levels were related to changes in CO1 (r = 0.73), CycD (r =  − 0.61), CAT (r = 0.31), DNAd (r = 0.43), and SOD (r = 0.34). Although the lethal threshold was similar between Er and Lu, the threshold response for LPO revealed that Er produced toxicity at concentrations 25 times lower than Lu suggesting that Er was more harmful than Lu in mussels. In conclusions, the data supports that the toxicity pattern differed between Er and Lu although they are accumulated in the same fashion.
Effect of nano-TiO2 size and utilization ratio on the performance of photocatalytic concretes; self-cleaning, fresh, and hardened state properties
Authors: Şahin Hatice Gizem , Temel Müge , Koçak Gözde , Mardani Ali , Kara Ali 
Published: May 2024

AbstractIn this study, photocatalysis technology was used to reduce water pollution. Decolorization of Reactive Black 5 using nano-TiO2 (NT) as a photocatalyst was investigated by adsorption and degradation experiments. Effects of NT particle size and utilization ratio on the time-dependent flow performance, compressive-flexural strength, and Bohme abrasion resistance of cementitious systems were investigated. In addition to the NT-free control mixture, a total of six photocatalytic self-cleaning mortar mixtures (PSCM) were prepared using NT in two different particle sizes (28 and 38 nm) and three different ratios (0.5%, 1%, and 1.5%). The PSCM sample containing 38 nm NT exhibited superior performance in terms of photocatalytic properties compared to the 28 nm state. It was observed that the flow performance of PSCM mixtures with NT substitution is adversely affected regardless of the NT type. Mixtures containing NT with a lower particle size (28 nm) had higher compressive and flexural strengths.
Controllable hydrophobization of sands with self-healing polymeric microcapsules
Authors: Qi Rui , Chen Ke , Lin Hongjie , Lourenço Sérgio D. N. , Kanellopoulos Antonios 
Published: May 2024

AbstractHydrophobized soils have functional hydrophobic coatings to delay or restrict water infiltration and thus prevent infrastructure failure and long-term degradation. Over time, hydrophobized soils will be subjected to degradation under the action of external stresses, leading to the loss of its functional properties. Microencapsulation approaches, initially developed for self-healing applications emerge as a potential solution to enhance, switch (from hydrophilic) or prolong the longevity of hydrophobized soils. The aim of this study is to produce and investigate the effectiveness of microencapsulation to impart hydrophobicity in granular materials in response to external stimuli. In this research, polydimethylsiloxane (PDMS), with hydrophobic properties, is encapsulated in calcium alginate microcapsules with the ionic gelation method. The effectiveness of the microcapsules to induce hydrophobicity is investigated by mixing sand with microcapsules and quantifying the change of the contact angle and water drop penetration time (measures of hydrophobicity) under an external trigger, i.e., under drying and consecutive wetting–drying cycles. The results show that microcapsules release the hydrophobic cargo (PDMS) during shrinkage. After drying, the PDMS content in sand increased to 0.1–0.8% by mass of sand. The released hydrophobic cargo (PDMS) induced hydrophobicity in sands, reflected by a contact angle increase from 29.7° to at least 87.7°. The amount of polydimethylsiloxane encapsulated is a key parameter controlling the release of hydrophobic cargo. In addition, 4% capsule content in sands is identified as an effective microcapsule content in inducing hydrophobicity.
HyperMRI: hyperspectral and magnetic resonance fusion methodology for neurosurgery applications
Authors: Villa Manuel , Sancho Jaime , Rosa Gonzalo , Chavarrias Miguel , Juarez Eduardo , Sanz Cesar 
Published: May 2024

Abstract
Purpose
Magnetic resonance imaging (MRI) is a common technique in image-guided neurosurgery (IGN). Recent research explores the integration of methods like ultrasound and tomography, among others, with hyperspectral (HS) imaging gaining attention due to its non-invasive real-time tissue classification capabilities. The main challenge is the registration process, often requiring manual intervention. This work introduces an automatic, markerless method for aligning HS images with MRI.

Methods
This work presents a multimodal system that combines RGB-Depth (RGBD) and HS cameras. The RGBD camera captures the patient’s facial geometry, which is used for registration with the preoperative MR through ICP. Once MR-depth registration is complete, the integration of HS data is achieved using a calibrated homography transformation. The incorporation of external tracking with a novel calibration method allows camera mobility from the registration position to the craniotomy area. This methodology streamlines the fusion of RGBD, HS and MR images within the craniotomy area.

Results
Using the described system and an anthropomorphic phantom head, the system has been characterised by registering the patient’s face in 25 positions and 5 positions resulted in a fiducial registration error of 1.88 ± 0.19 mm and a target registration error of 4.07 ± 1.28 mm, respectively.

Conclusions
This work proposes a new methodology to automatically register MR and HS information with a sufficient accuracy. It can support the neurosurgeons to guide the diagnosis using multimodal data over an augmented reality representation. However, in its preliminary prototype stage, this system exhibits significant promise, driven by its cost-effectiveness and user-friendly design.
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Authors: Lavanchy Joël L. , Ramesh Sanat , Dall’Alba Diego , Gonzalez Cristians , Fiorini Paolo , Müller-Stich Beat P. , Nett Philipp C. , Marescaux Jacques , Mutter Didier , Padoy Nicolas 
Published: May 2024

Abstract
Purpose
Most studies on surgical activity recognition utilizing artificial intelligence (AI) have focused mainly on recognizing one type of activity from small and mono-centric surgical video datasets. It remains speculative whether those models would generalize to other centers.

Methods
In this work, we introduce a large multi-centric multi-activity dataset consisting of 140 surgical videos (MultiBypass140) of laparoscopic Roux-en-Y gastric bypass (LRYGB) surgeries performed at two medical centers, i.e., the University Hospital of Strasbourg, France (StrasBypass70) and Inselspital, Bern University Hospital, Switzerland (BernBypass70). The dataset has been fully annotated with phases and steps by two board-certified surgeons. Furthermore, we assess the generalizability and benchmark different deep learning models for the task of phase and step recognition in 7 experimental studies: (1) Training and evaluation on BernBypass70; (2) Training and evaluation on StrasBypass70; (3) Training and evaluation on the joint MultiBypass140 dataset; (4) Training on BernBypass70, evaluation on StrasBypass70; (5) Training on StrasBypass70, evaluation on BernBypass70; Training on MultiBypass140, (6) evaluation on BernBypass70 and (7) evaluation on StrasBypass70.

Results
The model’s performance is markedly influenced by the training data. The worst results were obtained in experiments (4) and (5) confirming the limited generalization capabilities of models trained on mono-centric data. The use of multi-centric training data, experiments (6) and (7), improves the generalization capabilities of the models, bringing them beyond the level of independent mono-centric training and validation (experiments (1) and (2)).

Conclusion
MultiBypass140 shows considerable variation in surgical technique and workflow of LRYGB procedures between centers. Therefore, generalization experiments demonstrate a remarkable difference in model performance. These results highlight the importance of multi-centric datasets for AI model generalization to account for variance in surgical technique and workflows. The dataset and code are publicly available at https://github.com/CAMMA-public/MultiBypass140.
Panarchy to explore land use: a historical case study from the Peruvian Amazon
Authors: Lagneaux Elisabeth G. , Callo-Concha Daniel , Speelman Erika N. , Descheemaeker Katrien 
Published: May 2024

AbstractThe overexploitation of natural resources is an important driver of the global environmental crisis. The scientific community engages in an ongoing debate about the most suitable frameworks for analyzing trends in land use. In this paper, we use the conceptual lens of the adaptive cycle and panarchy to explore complex social–ecological dynamics in the Peruvian Amazon. Through an extensive literature review and interviews with key informants, we provide a historical analysis of extractive activities over the last two centuries in the department of Madre de Dios, Peru. We identify periods of growth, conservation, and sometimes release and reorganization for each resource and for the overall social–ecological system. We identify a general trend toward more diversification in extractive activities over time and inter-scale linkages between adaptive cycles of different time and space scales. Based on these results, we explore future development, hypothesize a possible domination of the agricultural sector, and suggest that land-use policies and management interventions should draw from past lessons to design adaptive land planning. Finally, we present new evidence highlighting the relevance of panarchy for understanding historical changes in complex social–ecological systems and demonstrate its utility in exploring both past land use and future development.
Heavy sets and index bounded relative symplectic cohomology
Authors: Sun Yuhan 
Published: May 2024

AbstractWe use relative symplectic cohomology to detect heavy sets, with the help of index bounded contact forms. This establishes a relation between two notions SH-heaviness and heaviness, which partly answers a conjecture of Dickstein–Ganor–Polterovich–Zapolsky in the symplectically aspherical setting.
Suicide by ligature strangulation and/or hanging inside a motor vehicle: a comprehensive review
Authors: Campobasso Carlo Pietro , De Simone Mariavictoria , Porzio Antonietta , Mazzini Edoardo , Carfora Anna , Feola Alessandro 
Published: May 2024

AbstractSuicide by ligature strangulation/hanging inside vehicles is uncommon, and only few cases have been reported in the literature. This study aimed to conduct a comprehensive review of reported cases of suicide by ligature strangulation/hanging inside vehicles, analyzing the features of the death scene, of the ligature and furrow, autopsy findings, and causes of death. The comprehensive review was performed following the PRISMA guidelines by using the most common scientific databases. According to inclusion criteria, a total of 20 cases of vehicle-assisted strangulation/hanging were reviewed: 13 cases were assessed as ligature strangulation resulting in 7 complete decapitations and 7 other cases as hanging. All victims were young or adult males, except for one 48-year-old female. Death was assessed as suicide in all cases, except for a possible accidental autoerotic death. In 8 cases, a history of depression or other psychiatric disorders was reported. Toxicological analysis were positive in 7 cases. Hard ligature materials (nylon, steel, plastic, hemp ropes) were used in most cases, but only 13 cases had a well-demarcated furrow. In 2 cases, no internal findings of asphyxia were found. An additional case of ligature strangulation inside a motor vehicle off is also presented, where no autopsy findings of asphyxia were observed, except for a broad pale furrow and monolateral conjunctival petechiae. This study highlights the challenges in classifying suicidal hanging and ligature strangulation in motor vehicles.
Resilience through appropriate response: a simulation study of disruptions and response strategies – case COVID-19 and the grocery supply chain
Authors: Saarinen Lauri , Oddsdottir Hildur , Rehman Obaid 
Published: May 2024

AbstractIn the wake of disruptions such as the COVID-19 pandemic, supply chains (SCs) face unprecedented levels of uncertainty, underscoring the critical need for resilience capabilities. We study how the operational dynamics of SCs influence the efficacy of key resilience capabilities, specifically flexibility and visibility. Utilizing a system dynamics simulation model, we analyze the contingency effects within Finnish grocery SCs, examining how the operational tempo—characterized by lead times, inventory buffers, information updating—affects the efficiency of resilience strategies in response to diverse disruption scenarios. Our model, informed by real-world disruption events and responses, reveals distinct preferences for resilience capabilities based on SC operational dynamics. For fast-moving SCs, flexibility in ramping up capacity emerges as paramount, whereas for slower SCs, enhanced visibility becomes crucial. We contribute to the contingent Resource-Based View (RBV) on SC resilience by proposing that responsiveness is important moderator of flexibility and visibility as resilience capabilities. We highlight the importance of prevention of phantom ordering through improved visibility and caution against destocking following sudden demand declines. By aligning operational dynamics with tailored resilience strategies, our research offers actionable insights for SC managers aiming to navigate future disruptions more effectively.
The Social Impact of COVID-19 on Migrants in Urban Africa
Authors: Tenerowicz Gates , Wellman Elizabeth Iams 
Published: May 2024

AbstractThis paper explores the social impacts of COVID-19 on migrants living in three major African cities: Accra, Johannesburg, and Nairobi. Given the importance of social support networks to mobile populations, particularly in areas with limited access to essential services, understanding how the pandemic disrupted social relations underscores the broader health and economic impacts of COVID-19 on migrant communities. Using a large scale 2021 survey of nine migrant neighborhoods located across three African mega-cities, we comparatively analyze migrant social interactions during the first year of the pandemic. We find that while migrant social interactions decreased in Accra and Nairobi, living in Johannesburg was significantly associated with unchanged or increased social interactions in the first year of the pandemic. We situate these findings with municipal and country-level variation of COVID-19 policy responses within each city. In particular, we illuminate how the severity of the pandemic and response in South Africa may have catalyzed opportunities for migrants to increase social engagements within their everyday lives. By understanding how compound challenges impacted migrant life, this paper contributes to the emerging area of comparative studies on the effects of COVID-19 on migrant populations, and urban populations within the Global South more broadly.
Zinc Deficiency After Bariatric Surgery: A Systematic Review and Meta-analysis
Authors: Jiao Yuwen , Liu Yanheng , Chen Shuai , Tang Liming 
Published: May 2024

AbstractBariatric surgery has become an effective method for treating severe obesity and its related complications. While the effectiveness and safety of BS have been widely confirmed, micronutrient deficiency has emerged as a long-term complication after surgery. Literature was collected through online searches of PubMed, Cochrane Library, Web of Science, and Embase databases, as well as manual searches. A total of 15 studies, with a sample size of 2993 cases, were included. The studies found that the risk of zinc deficiency increased gradually at 6 months, 1 year, and 2 years after surgery compared to pre-surgery levels. Subgroup analysis revealed that serum zinc levels decreased by 9.40% (95% CI − 16.44%, − 2.36%) at 1 year after laparoscopic sleeve gastrectomy, 9.33% (95% CI − 10.73%, − 7.92%) after Roux-en-Y gastric bypass and one-anastomosis gastric bypass, and 22.30% (95% CI − 30.14%, − 14.46%) after biliopancreatic diversion/duodenal switch. Meanwhile, the total prevalence of zinc deficiency at 1 year after surgery was 26.1%. In conclusion, zinc deficiency worsens and serum zinc levels decrease after bariatric surgery. It is recommended that patients undergoing weight loss surgery undergo regular monitoring of serum zinc levels and receive timely zinc supplementation therapy.
The Role of Cerebellum and Basal Ganglia Functional Connectivity in Altered Voluntary Movement Execution in Essential Tremor
Authors: Passaretti Massimiliano , Piervincenzi Claudia , Baione Viola , Pasqua Gabriele , Colella Donato , Pietracupa Sara , Petsas Nikolaos , Angelini Luca , Cannavacciuolo Antonio , Paparella Giulia , Berardelli Alfredo , Pantano Patrizia , Bologna Matteo 
Published: May 2024

AbstractSubstantial evidence highlights the role of the cerebellum in the pathophysiology of tremor in essential tremor (ET), although its potential involvement in altered movement execution in this condition remains unclear. This study aims to explore potential correlations between the cerebellum and basal ganglia functional connectivity and voluntary movement execution abnormalities in ET, objectively assessed with kinematic techniques. A total of 20 patients diagnosed with ET and 18 healthy subjects were enrolled in this study. Tremor and repetitive finger tapping were recorded using an optoelectronic kinematic system. All participants underwent comprehensive 3T-MRI examinations, including 3D-T1 and blood-oxygen-level dependent (BOLD) sequences during resting state. Morphometric analysis was conducted on the 3D-T1 images, while a seed-based analysis was performed to investigate the resting-state functional connectivity (rsFC) of dorsal and ventral portions of the dentate nucleus and the external and internal segments of the globus pallidus. Finally, potential correlations between rsFC alterations in patients and clinical as well as kinematic scores were assessed. Finger tapping movements were slower in ET than in healthy subjects. Compared to healthy subjects, patients with ET exhibited altered FC of both dentate and globus pallidus with cerebellar, basal ganglia, and cortical areas. Interestingly, both dentate and pallidal FC exhibited positive correlations with movement velocity in patients, differently from that we observed in healthy subjects, indicating the higher the FC, the faster the finger tapping. The findings of this study indicate the possible role of both cerebellum and basal ganglia in the pathophysiology of altered voluntary movement execution in patients with ET.
Centralized exchanges vs. decentralized exchanges in cryptocurrency markets: A systematic literature review
Authors: Hägele Sascha 
Published: May 2024

AbstractResearch on cryptocurrency exchanges, consisting of both centralized exchanges (CEXs) and decentralized exchanges (DEXs), has seen a significant increase in contributions in recent years, driven by growing interest in the conceptual design of cryptocurrency markets. Through a comprehensive review of literature published between January 2019 and September 2023, I identify and analyze different dimensions of the ongoing CEX vs. DEX debate. While DEXs emphasize decentralization, user control, and resistance to censorship, CEXs offer higher liquidity, advanced trading features, and a more established track record. Regulatory challenges, such as Know Your Customer (KYC) and Anti-Money Laundering (AML) compliance, also feature prominently in the literature and influence the choice of exchange for both traders and policymakers. In addition, I observe a growing interest in the design of pricing functions for CEXs and DEXs, particularly in the area of automated market makers (AMMs). Finally, based on my findings, I outline future research opportunities in this context and derive research gaps as well as recommended actions for practitioners.