bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural limits to effective environmental activism: Post‐neoliberal development, extractive imperative and authoritarianism in Ecuador
Authors: Arsel Murat , Pellegrini Lorenzo 
Published: August 2024

AbstractWith the election of President Rafael Correa in the 2006 elections, Ecuadorian environmentalists became influential policymaking actors. Agenda‐setting successes were followed by their decisive contribution to determining legislative content and its passing. However, the moment of alliance between environmentalists and Correa proved to be temporary. Environmentalists returned to a more adversarial posture in relation to the state and its approach to constructing a post‐neoliberal development model that relied on the intensification of primary commodity extraction. Their efficacy in shaping environmental policy making and implementation declined and their activities against oil and mining extraction were met by increasingly authoritarian responses by the state. Structural constraints emerging from the global political economy of environment and development were ultimately decisive in the rise of authoritarianism and the reversal of the agenda of the environmentalists.
Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning
Authors: Choi Yeongho , Kim Ki Hong , Kim Yoonjic , Choi Dong Hyun , Joo Yoon Ha , Choi Sae Won , Song Kyoung Jun , Shin Sang Do 
Published: August 2024

AbstractBackgroundShock is a life‐threatening condition that is associated with high mortality and morbidity. Therefore, the timely identification and management of this condition are important. We aimed to develop a prediction model for vasopressor use based on concise serial arterial blood pressure data.MethodsWe collected continuous arterial blood pressure from patients admitted to the emergency department (ED) resuscitation room. Patients with an initial systolic blood pressure lower than 90 mmHg were included in the study. We developed prediction models using convolutional neural networks (CNNs) and long short‐term memory (LSTM) networks. Discrimination performance was assessed using the area under the receiver operating characteristic curve (AUROC) and the area under the precision–recall curve (AUPRC).ResultsA total of 120 patients were enrolled in the study. The CNN and LSTM models yielded AUROCs ranging from 0.731 to 0.834 for predicting the need for vasopressor infusion within different time frames (30 min, 1 h, and 6 h). LSTM outperformed the CNN in terms of predicting vasopressor infusion within 30 min and 1 h (p value < 0.05). The AUPRC values ranged from 0.200 to 0.252, and sensitivity–specificity analyses indicated that the models have potential for clinical applications.ConclusionThis study used serial arterial blood pressure data to construct a promising prediction model for the need for vasopressors in hypotensive ED patients. The simplicity and accuracy of the model provide valuable insights for developing a clinical decision support tool for resuscitation in emergency settings.
De novo urethral hypermobility at 6 months after first delivery as a risk factor for stress urinary incontinence 12 years postpartum
Authors: Arrue Gabilondo Miren , Belar Maria J. , Diez‐Itza Irene 
Published: August 2024

AbstractObjectiveThe aim of the study was to analyze the association between de novo urethral hypermobility 6 months postpartum and stress urinary incontinence (SUI) symptoms at 6 months and 12 years after first delivery. Risk factors associated with the development of postnatal urethral hypermobility were also examined.MethodsA longitudinal cohort study was conducted on primigravid women, after excluding those with UI before pregnancy and/or urethral hypermobility (rotational angle ≥30°) at term. At 6 months postpartum, SUI was assessed based on symptoms and introital ultrasound performed to measure rotational angle (difference between urethro‐pelvic angle at rest and at maximum Valsalva). Twelve years after delivery, women were sent a questionnaire including SUI assessment and questions on parity, current age, and body mass index. Continuous variables were compared using student's t‐test and qualitative variables using chi‐squared tests. A logistic regression model was constructed including variables that reached statistical significance (P < 0.05) in the univariate analysis.ResultsOf the 314 women who completed the 6‐month follow‐up, 265 (84.4%) were successfully contacted and completed the questionnaire at 12 years and these formed the study group. In 127 women (47.9%), de novo urethral hypermobility had developed by 6 months postpartum. There was no association between urethral hypermobility and SUI symptoms 6 months postpartum (OR: 1.17; 95% CI: 0.59–2.33). Twelve years after delivery, however, SUI was reported by 110 women overall (41.5%) and nearly half of the women who developed postnatal urethral hypermobility (61/127, 48.0%).ConclusionDe novo urethral hypermobility 6 months postpartum constitutes a risk factor for SUI 12 years later.
Aggregate index of systemic inflammation: A novel systemic inflammatory index for prediction of neonatal outcomes and chorioamnionitis in women with preterm premature rupture of membranes
Authors: Tokalioglu Eda Ozden , Tanacan Atakan , Agaoglu Merve Ozturk , Özbebek Ülkü Gürbüz , Okutucu Gülcan , Kayaalp Hüseyin , Uzuner Petek , Sahin Dilek 
Published: August 2024

AbstractObjectiveTo determine the value of the Aggregate index of systemic inflammation (AISI) in predicting admission to neonatal intensive care unit (NICU) and chorioamnionitis.MethodsThe present retrospective cohort study with pregnant women who were diagnosed with preterm premature rupture of membranes (PPROM) in the Department of Perinatology, Ministry of Health Ankara City Hospital between January 1, 2021, and June 1, 2023 (n = 357). The patients were categorized into subgroups: (1) cases with (n = 27) or without (n = 330) chorioamnionitis, (2) admission (n = 182) or no admission (n = 175) to NICU; (3) gestational age at birth <28 weeks or 28 weeks or longer; and (4) gestational age at birth <34 weeks or 34 weeks or longer. AISI values were compared between the subgroups, and cut‐off values for AISI were determined to predict adverse outcomes.ResultsAISI values were significantly higher in the admission to NICU group compared with the no admission to NICU group (707.0 vs 551.2) (P < 0.05). AISI values were also significantly higher in the chorioamnionitis group compared with those without chorioamnionitis (850.3 vs 609.4) (P < 0.05). AISI levels were significantly higher in cases delivered before 28 weeks of gestation compared with the cases delivered at 28 weeks of gestation or later (945.6 vs 604.9) (P < 0.05), and were also significantly higher in cases delivered before 34 weeks of gestation compared with the cases delivered at 34 weeks of gestation or later (715.5 vs 550.1) (P < 0.05). Optimal cut‐off values of AISI were found to be 626.19 (74.1% sensitivity, 52.8% specificity), 506.09 (68.9% sensitivity and, 47.7% specificity), and 555.1 (69.8% sensitivity, 48.1% specificity) in predicting NICU admission, chorioamnionitis, and delivery before 28 weeks, respectively.ConclusionThe novel inflammatory marker AISI may be used in the prediction of chorioamnionitis and NICU admission in PPROM cases.SynopsisAggregate index of systemic inflammation may be used as a novel marker in predicting high‐risk for chorioamnionitis and neonatal intensive care unit admission in women with preterm premature rupture of membranes.
The term structure of Japanese Government bonds in the super long term under different aspects of yield curve control
Authors: Ito Takayasu 
Published: August 2024

AbstractJapanese Government Bonds (JGBs) increased in volatility after the Bank of Japan (BOJ) expanded the upper limit of the yield curve control (YCC) from .2% to .25% on March 19, 2021. The entire sample period is divided in half. The JGB yield curve from 20 to 40 years is driven by three common trends in the first half of the YCC. On the other hand, the JGB yield curve from 20 to 40 years is driven by two common trends in the second half. JGBs in the maturities of 20, 30, and 40 years move independently in the first half. On the other hand, the JGBs of 30 and 40 years move together in the second half. The maturities of 20, 30, and 40 years are segmented in the first half, but those of 30 and 40 years are integrated in the second half. The JGBs in the super long term began to recover their market function after the BOJ decided to move the upper limit of the YCC to .5%. The decision made by the BOJ contributed to rectifying the malfunctioning JGB market.
Clinical course of atypical parathyroid neoplasm with soft tissue extension
Authors: Feldman Hope A. , Busaidy Naifa L. , Tame‐Elorduy Andres , Silva Angelica Kika , Halfteck Gili , Merriman Kelly , Waguespack Steven G. , Graham Paul H. , Williams Michelle D. , Perrier Nancy D. 
Published: August 2024

AbstractBackground and ObjectivesThe American Joint Committee on Cancer (AJCC) TNM staging system defines atypical parathyroid neoplasia (APN) as tumor in situ (Tis) and reserves the definition of parathyroid carcinoma (PC) to parathyroid tumor with invasion into surrounding structures. Because the parathyroid gland has no true capsule, “extension” with APN versus microscopic “invasion” of surrounding soft tissue can be difficult and confusing for clinicians. We aimed to determine the clinical course of atypical parathyroid neoplasm with and without soft tissue extension and parathyroid carcinoma with only soft tissue invasion (pT1) and to report the outcomes.MethodsFollowing an IRB‐approved protocol, we identified all patients treated for parathyroid neoplasm or cancer at our single tertiary care cancer center from 1990 to 2021. We excluded all patients with evidence of clinical or pathologic gross invasion into surrounding structures (pT2 or higher), lymph node involvement, or metastatic disease. By definition, this excluded all cases where the distinction was clinically evident to the surgeon at the time of the operation based on finding a hard, firm, sticky, or discolored parathyroid gland. Only patients with pathologic T1 (pT1) parathyroid carcinoma or APN were included. All pathologic examinations were independently re‐reviewed by a single designated expert senior endocrine pathologist. The definition of APN strictly followed the WHO definition of a clinically worrisome lesion having features including fibrous bands or increased mitotic rate, necrosis, or trabecular growth that did not meet robust criteria for frank invasion. Pathologic T1 disease was defined as invasion limited to soft tissue. Analyses were performed using R version 4.0.2 and Jamovi.ResultsOf all PC patients at our institution, only 71 met the strict inclusion criteria of APN or pT1. Forty‐four patients had pT1 disease and 27 had APN: 12 of the APN had soft tissue extension, and 15 had no soft tissue extension. The groups were similar with regard to age at diagnosis (p = 0.328). The average follow‐up duration was 84 months from initial surgical intervention. Of the 12 with APN, one patient (1/12; 8%) with soft tissue extension recurred, developed distant metastases, and subsequently died during follow up. Of the 44 patients with pT1 PC, six developed distant metastases and 13 (13/44; 30%) died during the follow‐up period. One patient with APN and soft tissue extension recurred and died and no patient with APN and no soft tissue extension died.ConclusionsPatients with APN and extension into soft tissue have a clinical course similar to that of APN without soft tissue extension. APN with soft tissue extension is a different disease from pT1 disease with invasion of soft tissue. The pTis classification appears justified for APN with and without soft tissue extension.
Recurrent Laryngeal Papillomatosis in Denmark from 1994 to 2021: A Nationwide Register Study
Authors: Nielsen Ulrik Steen , Rasmussen Eva R. , Rosenørn Marie R. , Schjellerup Jørkov Andreas P , Homøe Preben 
Published: August 2024

ObjectivesThe aim of this study is to describe the incidence and demographics of laryngeal papillomatosis (LP) in Denmark, including sex and age distribution, recurrence rates, and HPV subtypes, using a new method of register identification.MethodsThe data were extracted from the Danish Pathology Data Bank using SNOMED codes instead of the usual method using ICD codes from the Danish National Health Register. The derived pathology records were manually verified by three medical doctors. The study period was 1994–2021. Patients were categorized according to age as either juvenile‐onset RRP (JoRRP) if <18 years or adult‐onset RRP (AoRRP) if 18 years or older.ResultsWe identified 1819 RRP patients (JoRRP: 56; AoRRP:1763). The overall incidence per 100,000 inhabitants were 0.17 for JoRRP and 1.45 for AoRRP. The vast majority (72%) of the patients were male, but there was no significant difference in age at onset of RRP or recurrence rates between the sexes. Children below 3 years of age had the highest recurrence probability. Extracting data using SNOMED codes resulted in a positive predictive value of 99% regarding total number of biopsies and 98% regarding individuals. The incidence decreased throughout the study period.ConclusionComparable incidence and recurrence rates of RRP were found between Denmark and Norway. In this study, the Danish Pathology Register was found to be a highly valuable method for identifying LP patients. The effect of the nationwide HPV vaccination program can be evaluated using this method as the vaccinated cohort is starting to grow older and reproduce.Level of EvidenceRetrospective registry‐based national cohort study, 3 Laryngoscope, 134:5047–5053, 2024
Quantification of Automatic Speech Recognition System Performance on d/Deaf and Hard of Hearing Speech
Authors: Zhao Robin , Choi Anna S.G. , Koenecke Allison , Rameau Anaïs 
Published: August 2024

ObjectiveTo evaluate the performance of commercial automatic speech recognition (ASR) systems on d/Deaf and hard‐of‐hearing (d/Dhh) speech.MethodsA corpus containing 850 audio files of d/Dhh and normal hearing (NH) speech from the University of Memphis Speech Perception Assessment Laboratory was tested on four speech‐to‐text application program interfaces (APIs): Amazon Web Services, Microsoft Azure, Google Chirp, and OpenAI Whisper. We quantified the Word Error Rate (WER) of API transcriptions for 24 d/Dhh and nine NH participants and performed subgroup analysis by speech intelligibility classification (SIC), hearing loss (HL) onset, and primary communication mode.ResultsMean WER averaged across APIs was 10 times higher for the d/Dhh group (52.6%) than the NH group (5.0%). APIs performed significantly worse for “low” and “medium” SIC (85.9% and 46.6% WER, respectively) as compared to “high” SIC group (9.5% WER, comparable to NH group). APIs performed significantly worse for speakers with prelingual HL relative to postlingual HL (80.5% and 37.1% WER, respectively). APIs performed significantly worse for speakers primarily communicating with sign language (70.2% WER) relative to speakers with both oral and sign language communication (51.5%) or oral communication only (19.7%).ConclusionCommercial ASR systems underperform for d/Dhh individuals, especially those with “low” and “medium” SIC, prelingual onset of HL, and sign language as primary communication mode. This contrasts with Big Tech companies' promises of accessibility, indicating the need for ASR systems ethically trained on heterogeneous d/Dhh speech data.Level of Evidence3 Laryngoscope, 2024
Orientation of Chitin Nanofibers Dispersed in a Thermoplastic Polymer Matrix Through Dry Thermal Stretching
Authors: Katsuragawa Tetsuya , Yokoi Morihiko , Kobe Ryosuke , Teramoto Yoshikuni 
Published: August 2024

AbstractNanostructures derived from structural polysaccharides, such as cellulose and chitin, are notable for their sustainability, lightweight properties, and superior mechanical attributes. The macroscopic performance of these materials largely depends on the orientation of nanostructures. This study explores the preferential orientation of chitinous nanofibers (NFs) within a thermoplastic polymer matrix (PM) comprising poly(N‐vinylpyrrolidone) and glycerol, achieved through dry thermal stretching techniques. Altering the PM composition enables the modulation of the system's glass transition temperature (Tg). Chitin NFs are effectively dispersed within the PM, with their orientation enhanced by stretching at temperatures ≈30 °C above the Tg of the composites, resulting in an elongation at rupture (ε) of 105%. Under similar temperature conditions, composites with chitosan NFs show strong interactions with the PM, hindering the stretching process (ε = 10%). In contrast, composites with acetylated chitin NFs demonstrate increased stretchability (ε = 170%) but have insufficient interactions to stabilize their orientation. These interactions, identified as hydrogen bonds through FTIR, vary significantly based on the functional groups present on the NF surfaces. This variation is supported by DSC and dynamic mechanical analysis. Oriented ChNFs hold potential for bioactive applications.
Manufacturer's cooperative recycling strategies considering the negative externality of unrecycled products: Non‐cooperative, fund‐cooperative, or labour‐cooperative
Authors: Liu Shan , Duan Caiquan , Qiao Jinyou , Sun Yan 
Published: August 2024

AbstractThis paper proposes a new objective function for manufacturer considering the negative externality of unrecycled products (NEUP), and develops three cooperative recycling modes: non‐cooperative, fund‐cooperative and labour‐cooperative. Results indicate that compared to non‐cooperative, while fund‐cooperative can enhance the recycling rate, it hurts the system's profitability. In contrast, labour‐cooperative can achieve a win–win situation for both. Moreover, considering NEUP expands the dominant space of fund‐cooperative in recycling rate, but weakens its advantage in market demand. Notably, considering NEUP may render cooperative recycling ineffective in improving profit, which largely depends on the degree of considering NEUP and recycling cost coefficient ratio.
Comparative analysis of satellite and reanalysis data with ground‐based observations in Northern Ghana
Authors: Katsekpor Josephine Thywill , Greve Klaus , Yamba Edmund Ilimoan , Amoah Ebenezer Gyampoh 
Published: August 2024

AbstractAccurate predictions of streamflow and flood events are contingent upon the availability of reliable hydrometeorological data. In regions characterized by scarcity of ground‐based hydrometeorological observations, satellite and reanalysis data assume prominence as alternative predictors. Floods and droughts have emerged as a significant concern in Northern Ghana, yet the scarcity of ground‐based hydrometeorological data impedes effective prediction of these hydrological events. Consequently, the identification of suitable surrogate hydrometeorological data holds paramount importance in addressing these challenges. This study, therefore, assessed the accuracy of satellite and reanalysis data against ground‐based data in Northern Ghana. Rainfall and mean temperature spanning from 1998 to 2019 and soil moisture datasets from 2019 to 2022 were collected from GMet, ISMN (ground‐based), CHIRPS, PERSIANN‐CDR, ERA5, ARC2, MERRA‐2, TRMM and CFSR (satellite and reanalysis). Employing rigorous statistical measures, namely standard deviation, mean absolute error (MAE) and mean bias error (MBE), the accuracy of these datasets was thoroughly evaluated. The results revealed that CHIRPS and PERSIANN‐CDR exhibited superior accuracy in rainfall simulation, with CHIRPS demonstrating particularly consistent congruence with observed data. In terms of mean temperature prediction, ERA5 surpassed MERRA‐2 and CFSR. Regarding soil moisture assessments, both ERA5 and CFSR offered satisfactory simulations. Hence, our findings advocate for the preference of CHIRPS (for rainfall data), ERA5 (for temperature data) and a combination of CFSR/ERA5 (for soil moisture data) as dependable primary data sources for streamflow modelling, drought analysis, flood prediction and water resource management in the context of Northern Ghana.
Non‐isometric deformation in double curvature and symmetric composite laminates due to shrinkage
Authors: Harsha N. R. Sree , Chinwicharnam Kwanchai , Doty Vaughan , Pipes R. Byron 
Published: August 2024

AbstractApplication of the global Gauss–Bonnet theorem for the prediction of changes in Gaussian curvature for double curvature laminate geometries due to shrinkage is developed for non‐isometric deformation states where in surface area change accompanies changes in curvature. The transition between isometric and non‐isometric deformation is strongly influenced by the ratio of the principal radii of curvature of the double curved surface and a relationship is proposed by the authors to accommodate the transition. Examples for the radii of curvature ratios of 2, 3, and 4 are compared to results from finite‐element simulations and the developed relationship is shown to be accurate within 0.55%. Furthermore, these results demonstrate that isometric deformation state can be taken as an adequate representation for double curvature toroidal laminate geometries of >10 and the class of materials studied in this work.Highlights
Shrinkage induced deformation in multi‐curvature composite laminates is a recurring issue in polymer composite manufacturing.
Thermal, crystallization and cure shrinkage are the dominant sources of shrinkage deformation in polymer composite systems.
Isometric deformation of multi‐curvature, symmetric laminates composite is defined by the absence of membrane strain.
The Gauss–Bonnet theorem provides a platform for determining radii of curvature changes in multi‐curvature symmetric laminates,
Non‐isometric deformation of symmetric laminates can be treated by the Gauss–Bonnet theorem for radii of curvature ratios that correspond to geometric self‐constraint.
The above highlights yield insight into the anticipated geometric distortions due to shrinkage in polymer composites.
Accelerating Discovery of Water Stable Metal−Organic Frameworks by Machine Learning
Authors: Zhang Zhiming , Pan Fusheng , Mohamed Saad Aldin , Ji Chengxin , Zhang Kang , Jiang Jianwen , Jiang Zhongyi 
Published: August 2024

AbstractMetal−organic frameworks (MOFs) provide an extensive design landscape for nanoporous materials that drive innovation across energy and environmental fields. However, their practical applications are often hindered by water stability challenges. In this study, a machine learning (ML) approach is proposed to accelerate the discovery of water stable MOFs and validated through experimental test. First, the largest database currently available that contains water stability information of 1133 synthesized MOFs is constructed and categorized according to experimental stability. Then, structural and chemical descriptors are applied at various fragmental levels to develop ML classifiers for predicting the water stability of MOFs. The ML classifiers achieve high prediction accuracy and excellent transferability on out‐of‐sample validation. Next, two MOFs are experimentally synthesized with their water stability tested to validate ML predictions. Finally, the ML classifiers are applied to discover water stable MOFs in the ab initio REPEAT charge MOF (ARC−MOF) database. Among ≈280 000 candidates, ≈130 000 (47%) MOFs are predicted to be water stable; furthermore, through multi‐stability analysis, 461 (0.16%) MOFs are identified as not only water stable but also thermal and activation stable. The ML approach is anticipated to serve as a prerequisite filtering tool to streamline the exploration of water stable MOFs for important practical applications.