bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intracerebral dynamics of sleep arousals: a combined scalp-intracranial EEG study
Authors: Wang Yingqi Laetitia , Avigdor Tamir , Hannan Sana , Abdallah Chifaou , Dubeau François , Peter-Derex Laure , Frauscher Birgit 
Published: March 2024

As an intrinsic component of sleep architecture, sleep arousals represent an intermediate state between sleep and wakefulness and play an important role in sleep-wake regulation. They have been defined in an all-or-none manner, whereas they actually present a wide range of scalp-electroencephalography (EEG) activity patterns. It is poorly understood how these arousals differ in their mechanisms. Stereo-EEG (SEEG) provides the unique opportunity to record intracranial activities in superficial and deep structures in humans. Using combined polysomnography and SEEG, we quantitatively categorized arousals in non-rapid eye movement sleep into slow wave (SW) and Non-SW arousals based on whether they co-occurred with a scalp-EEG SW event. We then investigated their intracranial correlates in up to 26 brain regions from 26 patients (12 females). Across both arousal types, intracranial theta, alpha, sigma, and beta activities increased in up to 25 regions (p<0.05,d=0.06-0.63), while gamma and high frequency (HF) activities decreased in up to 18 regions across five brain lobes (p<0.05,d=0.06-0.44). Intracranial delta power widely increased across five lobes during SW arousals (p<0.05 in 22 regions,d=0.10-0.39), while it widely decreased during Non-SW arousals (p<0.05 in 19 regions,d=0.10-0.30). Despite these main patterns, unique activity was observed locally in some regions such as the hippocampus and middle cingulate cortex, indicating spatial heterogeneity of arousal responses. Our results suggest that Non-SW arousals correspond to a higher level of brain activation than SW arousals. The decrease in HF activities could potentially explain the absence of awareness and recollection during arousals.Significance StatementIntrinsic to sleep architecture, sleep arousals play an important role in sleep-wake regulation. They are defined in an all-or-none manner, whereas they actually present various scalp electroencephalography (EEG) patterns. Using simultaneous scalp and intracranial EEG in humans, we analyzed the intracranial activity during two types of arousals marked on scalp EEG, quantitatively categorized by whether they co-occurred with a scalp-EEG slow wave (SW). Non-SW arousals present prevalent low-voltage fast activity, while SW arousals exhibit high-voltage slow waves alongside fast activities. This work represents the first intracranial study of different types of NREM sleep arousals and provides a comprehensive description of local brain activities during both arousal types, serving as a foundation for future studies investigating regional behaviors during sleep-wake transition.
Inhibition of HSP90AA1 induces abnormalities in bovine oocyte maturation and embryonic development
Authors: Zhao Baobao , Li Heqiang , Zhang Han , Lan Xinrui , Ren Xingchen , Zhang Liangyi , Ma Huiming , Zhang Yong , Wang Yongsheng 
Published: March 2024

In brief
HSP90AA1 is a ubiquitous molecular chaperone that can resist cellular stress, such as oxidative stress and apoptosis, and mediate the efficacy and protein folding of normal cells during heat stress, as well as many other functions. This study further reveals the role of HSP90AA1 in bovine oocyte maturation and early embryonic development.

Abstract
HSP90AA1, a highly abundant and ubiquitous molecular chaperone, plays important roles in various cellular processes including cell cycle control, cell survival, and hormone signaling pathways. In this study, we investigated the functions of HSP90AA1 in bovine oocyte and early embryo development. We found that HSP90AA1 was expressed at all stages of development, but was mainly located in the cytoplasm, with a small amount distributed in the nucleus. We then evaluated the effect of HSP90AA1 on the in vitro maturation of bovine oocytes using tanespimycin (17-AAG), a highly selective inhibitor of HSP90AA1. The results showed that inhibition of HSP90AA1 decreased nuclear and cytoplasmic maturation of oocytes, disrupted spindle assembly and chromosome distribution, significantly increased acetylation levels of α-tubulin in oocytes and affected epigenetic modifications (H3K27me3 and H3K27ac). In addition, H3K9me3 was increased at various stages during early embryo development. Finally, the impact of HSP90AA1 on early embryo development was explored. The results showed that inhibition of HSP90AA1 reduced the cleavage and blastocyst formation rates, while increasing the fragmentation rate and decreasing blastocyst quality. In conclusion, HSP90AA1 plays a crucial role in bovine oocyte maturation as well as early embryo development.
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Authors: Hermawan Arya Tandy , Zaeni Ilham Ari Elbaith , Wibawa Aji Prasetya , Gunawan Gunawan , Hendrawan William Hartanto , Kristian Yosi 
Published: March 2024

Epileptic seizures, unpredictable in nature and potentially dangerous during activities like driving, pose significant risks to individual and public safety. Traditional diagnostic methods, which involve labour-intensive manual feature extraction from Electroencephalography (EEG) data, are being supplanted by automated deep learning frameworks. This paper introduces an automated epileptic seizure detection framework utilizing deep learning to bypass manual feature extraction. Our framework incorporates detailed pre-processing techniques: normalization via L2 normalization, filtering with an 80 Hz and 0,5 Hz Butterworth low-pass and high-pass filter, and a 50 Hz IIR Notch filter, channel selection based on standard deviation calculations and Mutual Information algorithm, and frequency domain transformation using FFT or STFT with Hann windows and 50% hop. We evaluated on two datasets: the first comprising 4 canines and 8 patients with 2.299 ictal, 23.445 interictal, and 32.915 test data, 400-5000Hz sampling rate across 16-72 channels; the second dataset, intended for testing, 733 icatal, 4.314 interictal, and 1908 test data, each 10 minutes long, recorded at 400Hz across 16 channels. Three deep learning architectures were assessed: CNN, LSTM, and a hybrid CNN-LSTM model-stems from their demonstrated efficacy in handling the complex nature of EEG data. Each model offers unique strengths, with the CNN excelling in spatial feature extraction, LSTM in temporal dynamics, and the hybrid model combining these advantages. The CNN model, comprising 31 layers, yielded highest accuracy, achieving 91% on the first dataset (precision 92%, recall 91%, F1-score 91%) and 82% on the second dataset using a 30-second threshold. This threshold was chosen for its clinical relevance. The research advances epileptic seizure detection using deep learning, indicating a promising direction for future medical technology. Future work will focus on expanding dataset diversity and refining methodologies to build upon these foundational results.
Nadir ancak ölümcül bir enfeksiyon üzerine karşılaştırmalı bir çalışma: Post-sternotomi mediastinit ve descending nekrotizan mediastinitte sonucu belirleyici faktörlerin analizi
Authors: Ünver Ulusoy Tülay , Karakoç Hanife Nur , Gürbüz Yunus , Şencan İrfan 
Published: March 2024

Amaç: Mediastinit; nadir görülen ciddi bir enfeksiyondur. Bu çalışmanın amacı, post-sternotomi mediastinit (PSM) veya descending nekrotizan mediastinit (DNM) tanısı alan hastaların demografik, klinik ve laboratuvar özelliklerini karşılaştırmak ve mortalite görülen hastaların özelliklerini belirlemektir.
Gereç ve Yöntemler: Bu çalışmaya 2015-2022 yılları arasında Sağlık Bilimleri Üniversitesi Dışkapı Yıldırım Beyazıt Eğitim ve Araştırma Hastanesi'nde PSM ve DNM tanısı alan hastalar dahil edilmiştir. Hastalar hayatta kalanlar ve kalamayanlar olarak kategorize edilmiştir ve karşılaştırılmıştır.
Bulgular: Bu çalışmaya mediastinit tanısı konulan 25 hasta dahil edilmiştir. Ortalama yaş 54.9 ± 12.1 olup, hastaların %64'ü erkekti. Hastaların %92'sinden kan kültürü alınmıştır. Hastaların %88'inden pürülan akıntı kültürleri gönderilmiştir, %44'ünde üreme tespit edilmiştir. Hastaların %84'ünde komorbidite mevcuttur ve komorbidite varlığı, sepsis varlığı ve tanı sonrası yoğunbakım ünitesinde (YBÜ) yatış günü prevalansı PSM hastalarında anlamlı olarak daha yüksekti (p=0.017, p=0.004, p=0.026). Kalp yetmezliği, koroner arter hastalığı (KAH) ve hipertansiyon (HT) PSM hastalarında anlamlı olarak daha yüksekti (ps=0.000). PSM hastaları; hayatta kalamayan grupta da anlamlı olarak daha yaygındı (p=0.012). Hayatta kalamayan grupta yaş ortalaması daha yüksek, sigara içenlerin sayısı daha fazla ve tanı sonrası YBÜ'de kalma süresi daha uzundu (p=0,046, p=0,049, p=0,038). PSM, HT ve KAH olan hastalar hayatta kalamayan grupta anlamlı olarak daha yaygındı (p=0.012, p=0.008, p=0.033).
Sonuç: Mediastinit; nadir görülen ancak yüksek mortalite ve morbidite oranlarına sahip ciddi bir enfeksiyondur. Yaşlılar, sigara içenler, median sternotomi yapılanlar ve komorbiditeleri olanlar gibi mortalite riski daha yüksek olan hastalarda tedavi ve takip stratejileri geliştirilebilir.
Cultura informacional voltada para instituição de ensino superior
Authors: Sambo Acia Domingos Cumbane , Woida Luana Maia 
Published: March 2024

Introdução: A cultura informacional envolve critérios fundamentais, valores e crenças, que refletem no comportamento informacional consistindo no modo como a informação é interpretada e manejada por indivíduos e grupos. Objetivo: Analisar a cultura informacional voltada a Instituição de Ensino Superior (IES), privilegiando que o pano de fundo se constitua em Moçambique, e que se consolida a partir de valores da filosofia da organização por parte dos seus membros, cujos principais integrantes são docentes, funcionários e estudantes. Metodologia: Utilizou-se a pesquisa bibliográfica de nível exploratório e abordagem qualitativa, buscando-se várias fontes, desde artigos científicos e teses que discutem a temática, priorizando-se a consulta à base de dados BRAPCI. Resultados: Faz-se necessária a compreensão da cultura informacional, na medida que ela interfere na construção e o uso de normas e políticas de IES, estimulando formas aceitáveis e esperadas de comportamentos e compartilhamento da informação, por fim, Conclusão: Os valores voltados a CI tem base em novos conhecimentos, aprendizagem contínua entre docentes, discentes e funcionários das IES na como na distribuição hierárquica, no acesso, busca e produção de conhecimento científico e administrativo.
Ubiquitous Gait Analysis through Footstep-Induced Floor Vibrations
Authors: Dong Yiwen , Noh Hae Young 
Published: March 2024

Quantitative analysis of human gait is critical for early discovery, progressive tracking, and rehabilitation of neurological and musculoskeletal disorders, such as Parkinson’s Disease, stroke, and Cerebral Palsy. Gait analysis typically involves estimating gait characteristics, such as spatio-temporal gait parameters and gait health indicators (e.g., step time, length, symmetry, and balance). Traditional methods of gait analysis involve the use of cameras, wearables, and force plates, but are limited in operational requirements when applied in daily life - such as direct line-of-sight, carrying devices, and dense deployment. This paper introduces a novel approach for gait analysis by passively sensing footstep-induced floor vibrations during walking using vibration sensors mounted on the floor surface. Our approach is non-intrusive, scalable, and perceived as more privacy-friendly, making it suitable for continuous gait health monitoring in daily life. We developed a floor vibration-based gait analysis framework to estimate various gait parameters that are used as standard metrics in medical practices, including temporal parameters (step, stride, stance, swing, double-support, single-support time) and spatial parameters (step length, width, angle, stride length), and extracts gait health indicators (cadence/walking speed, left-right symmetry, gait balance, initial contact types). The main challenge is that floor vibrations are distinct across different floor types. To address this challenge, our approach develops floor-adaptive algorithms to extract floor-specific features and is designed to be generalizable to various settings, including homes, hospitals, and eldercare facilities. We evaluate our approach through real-world walking experiments with 20 adults with 12,231 labeled gait cycles across concrete and wooden floors. Our results show 90.5% (RMSE 0.08s), 71.3% (RMSE 0.38m), and 92.3% (RMSPE 7.7%) accuracy in estimating temporal, spatial parameters, and gait health indicators, respectively.
Ratios of Sulfur Isotopes (32S, 33S, 34S, and 36S) in Archean Rocks of Karelia: Evidence of Microbial Life and the Anoxic Atmosphere
Authors: Velivetskaya T.A. , Ignatiev A.V. , Vysotskiy S.V. , Aseeva A.V. 
Published: March 2024

Abstract
––We have studied sulfur isotope ratios (33S/32S, 34S/32S, and 36S/32S) archived in the volcanic and ferruginous rocks of the Sumozero–Kenozero (ca. 2.9 Ga) and Kostomuksha (ca. 2.7 Ga) greenstone belts of the Fennoscandian Shield. The obtained data provide new arguments for developing ideas of the bacterial activity in the Archean ocean and the involvement of sulfur in the biogenic cycle and also indicate no free oxygen in the Archean Earth’s atmosphere. The isotope data on 34S and 33S show a high activity of sulfate-reducing and sulfur-disproportionating bacteria in the surface environments of Archean sedimentary rocks. The discovery of 33S and 36S anomalies in the studied rocks is the main evidence for the anoxic atmosphere during the formation of Meso- and Neoarchean deposits in Karelia.
Uncertainty Quantification Through the Assimilation of CO2 Plume Size from 4D Seismic Survey
Authors: Saleh W. Ben , Zhang B. 
Published: March 2024

Abstract
Geological models of saline aquifers used for CO2 storage inherently involve uncertainties due to limited data. This requires innovative approaches to quantify the impact of geological uncertainties on CO2 plume size and monitoring strategies. To address this issue, data assimilation and history matching have been widely employed. These approaches use diverse measurement, monitoring and verification (MMV) data such as pressure measurements, saturation logs, and surface monitoring data to reduce uncertainties associated with simulations. However, in carbon storage, 4D time-lapse seismic images are crucial and can provide valuable input for assessing uncertainties in CO2 storage models by providing estimates of CO2 plume migration at certain time intervals. In this study, a methodology is proposed to quantify the uncertainties in geological models for CO2 storage by the assimilation of CO2 plume size data derived from 4D seismic images taken at different injection periods.
To consider a wide range of uncertainties, data-driven proxy models are developed using high-fidelity coupled reservoir-geomechanics simulations data to overcome the prohibitive computational issues on numerous realizations (&gt;1000). The trained proxy models are used to forecast the CO2 plume size at multiple time intervals for a large sample of newly generated geomodels. A sample rejection procedure is implemented to quantify uncertainty and filter consistent, or history-matched geological realizations. The proposed workflow is implemented for an existing geological CO2 storage site in Western Canada. The proxy model is not only capable of predicting CO2 plume evolution with high accuracy but also shows a notable computational time reduction. A considerable reduction in geological model uncertainty is achieved using the proposed methodology. Among the 10,000 geological realizations, only 926 realizations are accepted as posterior models. The uncertainty quantification method proposed in this study effectively addresses geological model uncertainties based on available seismic survey and provides valuable insights into consideration of the geological uncertainty in CO2 storage modeling and design of MMV program for CO2 storage projects.
Integrated Solutions for P&A Using a Real-Time Downhole Monitoring System Saved Rig Time and Avoided Typical Deepwater Intervention-Related Problems, Offshore Brazil
Authors: Vivas Victor , Nunes Mauro , Apolinar Mario 
Published: March 2024

Abstract
As an oilfield reaches its expected End Of Field Life (EOFL), permanent abandonment is required to meet local regulations, specifically for wells where the Floating Production Storage and Offloading (FPSO) vessel has been de-commissioned within the last three (3) years if no monitoring has been performed in this period. However, this abandonment campaign faced well integrity issues, and the mandate from local authorities was to suspend the wells. Using Coiled Tubing (CT) with a Real-Time (RT) downhole monitoring system added value to the operation and its successful completion, saving time and avoiding unexpected events.
The methodology behind this campaign followed customer requirements to either P&A or suspend the wells, depending on the case. A series of inflatable packers were included as a base for cement and/or to cement the A annulus. It was critical to punch the inner tubing to communicate with the A annulus and be able to cement it. CT with Cable (E-line) installed conveyed a punch downhole with RT communication between the surface and the Bottom Hole Assembly (BHA). The RT downhole monitoring BHA was also important for accurately correlating depth and acquiring downhole data such as pressure and temperature to help ensure the correct placement and inflation of the packers and monitoring the cement slurry behavior.
A total of two (2) wells were successfully temporarily abandoned from a Drill Ship using CT to clean, punch, and place cement plugs in the annulus and tubing (using inflatable packers). The remaining wells were suspended according to V0 barrier philosophy, and throughout the operation, faster decisions were possible due to the RT downhole data from the BHA sensors being transmitted to the surface.
The surface equipment and BHA selected for the operation were part of the strategy for faster rig Up (R/U), Rig Down (R/D), and changing from one well intervention method to another when required. This included using a Coiled Tubing Lifting Frame (CTLF) with an injector table to swap from CT to Wireline (WL) quickly while keeping the CT injector and stripper with the main BHA rigged up during WL interventions. The synergy between multiple service lines created an optimal solution by fine-tuning the cement slurry rheology with hydraulic simulations and using a WL punch that was deemed most suitable for the application.
This paper covers the thru-tubing operation to abandon and/or suspend the wells using CT while saving overall time to R/U and R/D for both the CT and WL. It resulted in a more coordinated and reliable operation, avoiding typical problems often associated with P&A in deepwater. It describes the challenges faced and the solutions implemented to address them and complete the campaign's objective.
New Coiled Tubing Fatigue Management System with Real-Time Vessel Data: Step-Change to Cost and Reliability in Open-Water Interventions
Authors: Fonseca S. Hassig , Bridge C. , Liu Z. , Brouwer W. , Vodnikov N. , Spesivtsev P. 
Published: March 2024

Abstract
Early attempts to monitor coiled tubing (CT) fatigue in open-water interventions relied on basic statistical methods with a constant damage rate and broad generalizations of sea conditions. The new CT fatigue management system (FMS) comprises hardware and software that improve fatigue tracking. It tracks high-cycle fatigue (HCF) and low-cycle fatigue (LCF) simultaneously and in real time, elevating the accuracy, immediacy, and reliability of CT fatigue monitoring in open-water interventions.
The hardware monitors vessel pitch and roll in real time and relays the data to an acquisition system where they are combined with CT depth and circulating pressure. The new acquisition software consumes these data as well as a CT string fatigue life database and geometry and positions of the CT string, work drum, and payout sheave. LCF and HCF are accurately modeled, and the string fatigue life is updated in real time. That information allows the operation to strategically cycle the CT pipe to manage fatigue more efficiently and extend the time before a trim is necessary.
The traditional statistical method recorded a cumulative CT fatigue damage of 16% over a 14-hour job. In that same timeframe, the CT FMS measured a cumulative fatigue of 3.8%. Since the CT FMS updates damage rate continuously in response to vessel dynamics and uses a nonlinear methodology to combine HCF and LCF, it reduces inaccuracy and eliminates unnecessary safety factors associated with the statistical method. By improving precision and reliability, the real-time CT FMS safely extended the useful life of CT pipes by 75%.
The CT FMS also improves operational integrity by introducing alarm threshold settings and custom material parameters. Alarms are raised reflecting fatigue life growth, tubing payout, and changes to sea conditions. This provides the operator with real-time, actionable data to ensure a more even distribution of the fatigue along the CT. Besides extending useful life, this reduces the risk of CT failure, which can lead to costly downtime, reputational damage, and production losses. The string's operating limits are more accurately monitored, which extends the capacity of the CT into harsher environments, longer operations, and riserless interventions of wider workscope. The CT FMS automates workflows that previously required a dedicated technician, reducing crew size on board.
The introduction of CT in open-water interventions brought with it the risk of CT failure, which is inherent to any operation that handles CT pipe. This industry first, real-time CT FMS combines HCF and LCF monitoring and is a step change from the traditional methods to address these CT-related risks. Furthermore, the CT FMS elevates overall operational integrity, increases operational efficiency, and extends the operational envelope and application of CT in open-water interventions.