bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations between static and dynamic changes of platelet counts and in-hospital mortality in critical patients with acute heart failure
Authors: Wang Lili , Liu Tao , Zhu Zhijian , Wang Bing , Lu Zhigang , Pan Yesheng , Sun Lifang 
Published: April 2024

AbstractTo investigate the predictive value of baseline platelet count and its short-term dynamic changes in the prognosis of patients with acute heart failure (AHF) in the intensive care unit. Patients diagnosed with AHF in the medical information mart for intensive care III and their clinical data were retrospectively filtered. Patients were divided into survivor and non-survivor groups based on their prognosis during hospitalization, and differences in baseline data between groups were compared. Logistic regression models and restricted cubic spline (RCS) plots were performed to evaluate the relationship between baseline platelet counts and in-hospital mortality. Changes and trends in platelet counts were compared between the survivor and non-survivor groups after adjusting for confounders with the generalized additive mixing model (GAMM). A total of 2930 critical patients with acute heart failure were included, of which 2720 were survivors and 210 were non-survivors. Multiple logistic regression models revealed that baseline platelet count was an independent factor in hospital mortality (OR 0.997, 95% CI 0.994–0.999, P-value = 0.018). The RCS plot demonstrated a U-shaped dose–response relationship between baseline platelet count and in-hospital mortality. GAMM analysis suggested that the platelet counts decreased and then increased in the survivor group and gradually decreased in the non-survivor group, with a gradual increase of difference between two groups. After adjusting for confounders, the mean daily increase was −6.014 (95% CI −7.076–4.953, P-value < 0.001). Baseline platelet demonstrated a U-shaped dose–response relationship with adverse outcomes in critical patients with AHF. Early elevation of platelet was correlated with higher in-hospital mortality, indicating that tracking early changes in platelet might help determine the short-term prognosis of critical patients with AHF.
Relationship between the strength of the ankle and toe muscles and functional stability in young, healthy adults
Authors: Słomka Kajetan J. , Michalska Justyna 
Published: April 2024

AbstractThis study investigates the relationship between ankle and toe strength and functional stability in young adults, with a sample comprising sixteen females and fourteen males. The research employed force platform data to determine the center of foot pressure (COP) and calculated the forward functional stability index (FFSI) through foot anthropometric measurements. Strength measurements of toe and ankle muscles, during maximal isometric flexion and extension, were conducted using force transducers. Notable positive correlations were found between toe flexor strength and FFSI (left flexor: r = 0.4, right flexor: r = 0.38, p < 0.05), not influenced by foot anthropometry. Contrarily, no significant correlation was observed between ankle muscle strength and FFSI, despite a positive correlation with the COP range. The moderate correlation coefficients suggest that while toe flexor strength is a contributing factor to functional stability, it does not solely determine functional stability. These findings highlight the critical role of muscle strength in maintaining functional stability, particularly during forward movements and emphasize the utility of FFSI alongside traditional COP measures in balance assessment. It is recommended to employ a multifaceted approach is required in balance training programs.
Risk factors for early-onset adjacent segment degeneration after one-segment posterior lumbar interbody fusion
Authors: Nakajima Hideaki , Watanabe Shuji , Honjoh Kazuya , Kubota Arisa , Matsumine Akihiko 
Published: April 2024

AbstractAdjacent segment degeneration (ASD) is a major postoperative complication associated with posterior lumbar interbody fusion (PLIF). Early-onset ASD may differ pathologically from late-onset ASD. The aim of this study was to identify risk factors for early-onset ASD at the cranial segment occurring within 2 years after surgery. A retrospective study was performed for 170 patients with L4 degenerative spondylolisthesis who underwent one-segment PLIF. Of these patients, 20.6% had early-onset ASD at L3-4. In multivariate logistic regression analysis, preoperative larger % slip, vertebral bone marrow edema at the cranial segment on preoperative MRI (odds ratio 16.8), and surgical disc space distraction (cut-off 4.0 mm) were significant independent risk factors for early-onset ASD. Patients with preoperative imaging findings of bone marrow edema at the cranial segment had a 57.1% rate of early-onset ASD. A vacuum phenomenon and/or concomitant decompression at the cranial segment, the degree of surgical reduction of slippage, and lumbosacral spinal alignment were not risk factors for early-onset ASD. The need for fusion surgery requires careful consideration if vertebral bone marrow edema at the cranial segment adjacent to the fusion segment is detected on preoperative MRI, due to the negative impact of this edema on the incidence of early-onset ASD.
An analysis of information segregation in parallel streams of a multi-stream convolutional neural network
Authors: Tamura Hiroshi 
Published: April 2024

AbstractVisual information is processed in hierarchically organized parallel streams in the primate brain. In the present study, information segregation in parallel streams was examined by constructing a convolutional neural network with parallel architecture in all of the convolutional layers. Although filter weights for convolution were initially set to random values, color information was segregated from shape information in most model instances after training. Deletion of the color-related stream decreased recognition accuracy of animate images, whereas deletion of the shape-related stream decreased recognition accuracy of both animate and inanimate images. The results suggest that properties of filters and functions of a stream are spontaneously segregated in parallel streams of neural networks.
Changes in anti-Müllerian hormone values for ovarian reserve after minimally invasive benign ovarian cystectomy: comparison of the Da Vinci robotic systems (Xi and SP) and the laparoscopic system
Authors: Park Yunjeong , Song Ayoung , Jee Junghyun , Bae Nayoung , Oh Sumin , Shin Jung-Ho , Kim Yong Jin 
Published: April 2024

AbstractTo investigate the impact on the ovarian reserve after minimally invasive ovarian cystectomy using two platforms, the Da Vinci robotic system (Xi and SP) and the laparoscopic system. Patients underwent laparoscopic or Da Vinci robotic (Xi or SP) ovarian cystectomy for benign ovarian cysts between January 1, 2018, and December 31, 2022 at Guro Hospital, Korea University Medical center. We measured the change of AMH values (%) = [(postAMH − preAMH)] × 100/preAMH. No significant differences in preoperative age, cyst size, estimated blood loss during surgery, hemoglobin drop, length of hospital stay, adhesion detachment rate and cyst rupture rate were observed. However, the operative time was significantly shorter in the laparoscopic group than that in the robotic group (67.78 ± 30.58 min vs. 105.17 ± 38.87 min, p < 0.001) The mean preAMH and postAMH were significantly higher with the Da Vinci robotic group than with the laparoscopic group (preAMH: 5.89 ± 4.81 ng/mL vs. 4.01 ± 3.59 ng/mL, p = 0.02, postAMH: 4.36 ± 3.31 ng/mL vs. 3.08 ± 2.60 ng/mL, p = 0.02). However, the mean ΔAMH was not significantly different between two groups. ΔAMH also did not demonstrate significant differences among the three groups; laparoscopic, Xi and SP robotic. Even in the patient groups with preAMH < 2 and diagnosed with endometriosis, the ΔAMH did not show significant differences between the laparoscopic and robotic groups. The Da Vinci robotic system is no inferior to conventional laparoscopic systems in preserving ovarian function.
Association between maternal cardiometabolic markers and fetal growth in non-complicated pregnancies: a secondary analysis of the PRINCESA cohort
Authors: Omaña-Guzmán Isabel , Ortiz-Hernández Luis , Ancira-Moreno Monica , Godines-Enriquez Myrna , O’Neill Marie , Vadillo-Ortega Felipe 
Published: April 2024

AbstractThe objective of this study was to evaluate the association of maternal cardiometabolic markers trajectories (glucose, triglycerides (TG), total cholesterol, systolic blood pressure (SBP) and diastolic blood pressure (DBP)) with estimated fetal weight trajectories and birth weight in Mexican pregnant women without medical complications. Cardiometabolic marker trajectories were characterized using group-based trajectory models. Mixed-effect and linear regression models were estimated to assess the association of maternal trajectories with estimated fetal weight and birth weight. The final sample comprised 606 mother–child dyads. Two trajectory groups of maternal cardiometabolic risk indicators during pregnancy were identified (high and low). Fetuses from women with higher values of TG had higher weight gain during pregnancy ($$\hat{\beta }$$

β
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= 24.00 g; 95%CI: 12.9, 35.3), were heavier at the sixth month ($$\widehat{\beta }$$

β
^

=48.24 g; 95%CI: 7.2, 89.7) and had higher birth weight ($$\widehat{\beta }$$

β
^

= 89.08 g; 95%CI: 20.8, 157.4) than fetuses in the low values trajectory. Fetuses from mothers with high SBP and DBP had less weight in the sixth month of pregnancy ($$\widehat{\beta }$$

β
^

= − 42.4 g; 95%CI: − 82.7, − 2.1 and $$\widehat{\beta }$$

β
^

= − 50.35 g; 95%CI: − 94.2, − 6.4), and a higher DBP trajectory was associated with lower birth weight ($$\widehat{\beta }$$

β
^

= − 101.48 g; 95%CI: − 176.5, − 26.4). In conclusion, a longitudinal exposition to high values of TG and BP was associated with potentially adverse effects on fetal growth. These findings support the potential modulation of children’s phenotype by maternal cardiometabolic conditions in pregnancies without medical complications.
Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning
Authors: Koziel Slawomir , Pietrenko-Dabrowska Anna , Wojcikowski Marek , Pankiewicz Bogdan 
Published: April 2024

AbstractAir pollution stands as a significant modern-day challenge impacting life quality, the environment, and the economy. It comprises various pollutants like gases, particulate matter, biological molecules, and more, stemming from sources such as vehicle emissions, industrial operations, agriculture, and natural events. Nitrogen dioxide (NO2), among these harmful gases, is notably prevalent in densely populated urban regions. Given its adverse effects on health and the environment, accurate monitoring of NO2 levels becomes imperative for devising effective risk mitigation strategies. However, the precise measurement of NO2 poses challenges as it traditionally relies on costly and bulky equipment. This has prompted the development of more affordable alternatives, although their reliability is often questionable. The aim of this article is to introduce a groundbreaking method for precisely calibrating cost-effective NO2 sensors. This technique involves statistical preprocessing of low-cost sensor readings, aligning their distribution with reference data. Central to this calibration is an artificial neural network (ANN) surrogate designed to predict sensor correction coefficients. It utilizes environmental variables (temperature, humidity, atmospheric pressure), cross-references auxiliary NO2 sensors, and incorporates short time series of previous readings from the primary sensor. These methods are complemented by global data scaling. Demonstrated using a custom-designed cost-effective monitoring platform and high-precision public reference station data collected over 5 months, every component of our calibration framework proves crucial, contributing to its exceptional accuracy (with a correlation coefficient near 0.95 concerning the reference data and an RMSE below 2.4 µg/m3). This level of performance positions the calibrated sensor as a viable, cost-effective alternative to traditional monitoring approaches.
Leukemia circulation kinetics revealed through blood exchange method
Authors: Miller Alex B. , Rodriguez Felicia H. , Langenbucher Adam , Lin Lin , Bray Christina , Duquette Sarah , Zhang Ye , Goulet Dan , Lane Andrew A. , Weinstock David M. , Hemann Michael T. , Manalis Scott R. 
Published: April 2024

AbstractLeukemias and their bone marrow microenvironments undergo dynamic changes over the course of disease. However, little is known about the circulation kinetics of leukemia cells, nor the impact of specific factors on the clearance of circulating leukemia cells (CLCs) from the blood. To gain a basic understanding of CLC dynamics over the course of disease progression and therapeutic response, we apply a blood exchange method to mouse models of acute leukemia. We find that CLCs circulate in the blood for 1–2 orders of magnitude longer than solid tumor circulating tumor cells. We further observe that: (i) leukemia presence in the marrow can limit the clearance of CLCs in a model of acute lymphocytic leukemia (ALL), and (ii) CLCs in a model of relapsed acute myeloid leukemia (AML) can clear faster than their untreated counterparts. Our approach can also directly quantify the impact of microenvironmental factors on CLC clearance properties. For example, data from two leukemia models suggest that E-selectin, a vascular adhesion molecule, alters CLC clearance. Our research highlights that clearance rates of CLCs can vary in response to tumor and treatment status and provides a strategy for identifying basic processes and factors that govern the kinetics of circulating cells.
Regulation of enzymatic reactions by chemical composition of peptide biomolecular condensates
Authors: Harris Rif , Veretnik Shirel , Dewan Simran , Baruch Leshem Avigail , Lampel Ayala 
Published: April 2024

AbstractBiomolecular condensates are condensed intracellular phases that are formed by liquid-liquid phase separation (LLPS) of proteins, either in the absence or presence of nucleic acids. These condensed phases regulate various biochemical reactions by recruitment of enzymes and substrates. Developments in the field of LLPS facilitated new insights on the regulation of compartmentalized enzymatic reactions. Yet, the influence of condensate chemical composition on enzymatic reactions is still poorly understood. Here, by using peptides as minimalistic condensate building blocks and β-galactosidase as a simple enzymatic model we show that the reaction is restricted in homotypic peptide condensates, while product formation is enhanced in peptide-RNA condensates. Our findings also show that condensate composition affects the recruitment of substrate, the spatial distribution, and the kinetics of the reaction. Thus, these findings can be further employed for the development of microreactors for biotechnological applications.
Synthetic aperture radar backscatter is influenced by bubbles at the ice/water interface of an Antarctic lake
Authors: Gaudreau Adam , Lacelle Denis , Andersen Dale T. 
Published: April 2024

AbstractSynthetic aperture radar is an invaluable tool for monitoring lake ice. This study utilizes synthetic aperture radar to analyze the 2019-2023 backscatter time series of perennially ice-covered Lake Untersee in East Antarctica. We observed stark seasonal backscatter variations, averaging –9.6 dB from December to March and –3.7 dB from May to November. These fluctuations correspond to the abundance of sub-centimeter bubbles at the ice/water interface. Notably, the backscatter increase in April-May aligns closely with variations in ice thickness across the lake. Our findings suggest that ice cover thickness influences the timing and duration of ice accretion at the bottom, the accumulation of dissolved gases and bubbles, and the resultant changes in surface roughness at the ice/water interface. These factors collectively impact the backscatter response. This study enhances our understanding of the interactions between subsurface processes and synthetic aperture radar backscatter, shedding light on the seasonal dynamics of perennially ice-covered lakes.
Absorbable Hemostatic Agents Mimic Gossypiboma or Infected Collection on Imaging
Authors: Koikkara Kirti Anna , Paul Joseph Chacko , Abraham Vineeth Joseph , Lakhani Aisha , Kanamathareddy Harsha Veena , Kathirvelu Gopinathan , Chandramohan Anuradha 
Published: April 2024

AbstractAbsorbable hemostatic agents are commonly used in clinical practice and their imaging appearance is less known. In our case series, we demonstrate how absorbable hemostatic agents can masquerade as other clinically and medicolegally significant conditions such as gossypiboma and infected collections. Through our report, we aimed to describe the imaging features of absorbable hemostatic agents, to compare them with their imaging mimics, and provide a comprehensive review of the available literature.
Can Dynamic Contrast-Enhanced MRI Be Used to Differentiate Hepatic Hemangioma from Other Lesions in Early Infancy?
Authors: Halevy Dan , Sayed Blayne A. , Shaikh Furqan , Siddiqui Iram , Chavhan Govind B. 
Published: April 2024

Abstract
Background Confident diagnosis of hepatic hemangioma on imaging can avoid biopsy in early infancy and helps guide conservative management.
Purpose This article aims to determine if dynamic contrast-enhanced magnetic resonance imaging (MRI) can be used to differentiate liver hemangioma from other lesions in infants ≤ 100 days and to determine association of MRI features with hepatic lesions.
Methods MRI performed for liver lesions were retrospectively reviewed to note imaging characteristics and the MRI diagnosis. Final diagnosis was assigned based on pathology in available cases and by corroborative standard of reference including overall clinical features, lab findings, and follow-up.
Results Of 30 infants (18 boys, 12 girls; average age 42.2 days) included, 18 had solitary and 12 had multifocal lesions. Diagnoses in total 33 lesions included hemangiomas (23), hepatoblastoma (6), arteriovenous malformation (2), neuroblastoma metastases (1), and infarction (1). MRI and final diagnosis matched in 94% lesions with almost perfect agreement (kappa 0.86) for reader 1, and matched in 88% lesions with substantial agreement (kappa 0.71) for reader 2. Interobserver agreement for MRI diagnosis was substantial (kappa 0.62). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of MRI in differentiating hemangioma from other lesions were 100, 90, 96, 100, and 97%, respectively. Centripetal (16/23) or flash (5/23) filling were only seen with hemangioma. There was no significant difference in alpha-fetoprotein elevation (p 0.08), average size (p 0.35), multifocality (p 0.38), and intralesional hemorrhage (p 1) between hemangioma and hepatoblastoma.
Conclusion Centripetal filling on dynamic imaging and absence of washout are characteristic MRI features of hepatic hemangioma that can help to differentiate it from other lesions in early infancy.
COVID-19 Vaccines: A Radiological Review of the Good, the Bad, and the Ugly
Authors: Kumar Ishan , Ansari Mohammad Sharoon , Verma Ashish , Singh Pramod Kumar , Chakrabarti Sankha Shubhra , Shukla Ram Chandra 
Published: April 2024

AbstractThe World Health Organization has declared “with great hope” an end to COVID-19 as a public health emergency. The vaccination drive that started in December 2020 played a crucial role in controlling the pandemic. However, the pace at which COVID-19 vaccines were developed and deployed for general population use led to vaccine hesitancy, largely owing to concerns regarding the safety and efficacy of the vaccines. Radiology has been instrumental in demonstrating the extent of pulmonary involvement and identification of the complications of COVID-19, and the same holds true for vaccine-related complications. This review summarizes the existing body of radiological literature regarding the efficacy, adverse events, and imaging pitfalls that accompany the global rollout of various COVID-19 vaccines.
Plastic-Free Brand Choices as a Holistic Approach to Self-Care: A Netnographic Analysis of Young Consumers’ Motivations
Authors: Beccanulli Angela A. , Biraghi Silvia 
Published: April 2024

AbstractYoung consumers are increasingly taking on the mantle of champions for sustainable behavior. However, notwithstanding the long-established and rich debate on sustainable consumption, studies are missing that delve deeper on how young consumers, especially Millennials and Gen Z, dialogically frame their sustainable consumption choices and their favor for sustainable brands. We conduct an in-depth netnographic investigation that provides a deep cultural understanding of the motivations and priorities that young consumers associate with sustainable choices in their social media conversations, which represent the most common ground where sustainable commitments are discussed. Considering that plastic-free refillable water bottles are emerging as the daily consumption choice that young consumers are adopting to pursue a more sustainable lifestyle, we see in that a compelling research context in which the motivations that young consumers prioritize when they embrace plastic-free brands can be explored. Our findings visually map and dig deeper into the complex constellation of the dominant themes and interplays among them that young consumers discuss in their conversations about the adoption of plastic-free refillable water bottles. Across all the conversations we analyzed, the notion of care emerges as the key priority for young consumers and sustainable consumption is depicted as a holistic form of self-care. Our paper contributes to delve deeper into those conversational dynamics in and through which the priorities related to sustainable consumption choices are shaped and constructed through the expressive and material capacities of the different social formations that are engaged into the discussion of sustainability issues. Our paper also provides a methodological blueprint for the investigation of the dialogic process of sustainable brand building.