bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Pilot Study on the Collection of Adverse Event Data from the Patient Using an Electronic Platform in a Cancer Clinical Trial Unit
Authors: Grahvendy Minna , Brown Bena , Wishart Laurelie R. 
Published: November 2024

Abstract
Background and Objective
Accurate and robust adverse event (AE) data collection is crucial in cancer clinical trials to ensure participant safety. Frameworks have been developed to facilitate the collection of AE data and now the traditional workflows are facing renewal to include patient-reported data, improving completeness of AE data. We explored one of these workflows in a cancer clinical trial unit.

Methods
The study was a single-site study conducted at a tertiary hospital located in Australia. Patients consenting to a clinical trial were eligible for inclusion in this study. Participants used an electronic platform—My Health My Way (MHMW)—to report their symptomatic data weekly for 24 weeks. A symptom list was included within the platform, along with a free text field. Data reported via the platform was compared with data recorded in the patient’s medical chart. Time taken to compile data from each source was recorded, along with missing data points. Agreement between patient-reported data and data recorded in the medical notes was assessed using Kappa and Gwet’s AC1; time taken to compile data and missing data points were assessed using a Wilcoxon signed rank test.

Results
Low agreement was found between patient- and clinician-reported data (− 0.482 and − 0.159 by Kappa and Gwet’s AC1 respectively). Only 127 (30%) of the total 428 AEs were reported by both MHMW and medical notes. Patients reported higher rates of symptoms from the symptom list, while clinicians reported higher rates of symptoms outside of the symptom list. Time taken to compile the data from MHMW was significantly less than that taken to review medical notes (2.19 min versus 5.73 min respectively; P < 0.001). There were significantly less missing data points from the MHMW data compared with the medical notes (1.4 versus 7.8; P < 0.001).

Conclusions
This study confirms previous reports that patient- and clinician-reported adverse event data show low agreement. This study also shows that clinical trial sites could significantly reduce the work performed by research staff in the collection of adverse event data by implementing an electronic, patient-reported platform.
Evaluation of the engineering properties and sustainability of solid masonry blocks produced with recycled concrete aggregates
Authors: Dafedar Md Mohsin M. , Rao K. Balakrishna , Pai B. H. Venkataram , Bekkeri Gopal Bharamappa 
Published: November 2024

AbstractThe rapid expansion of global infrastructure has led to significant natural resource shortages and increasing environmental concerns related to construction and demolition (C&D) waste. Recycling C&D waste presents a viable solution to alleviate resource depletion and promote sustainability. This study explores the use of recycled concrete aggregates (RCAs) derived from C&D waste in producing solid masonry blocks (SMBs). RCAs were employed to replace both natural coarse and fine aggregates in these blocks. Physical and mechanical properties of SMBs were tested, including hardened density, compressive and flexural strengths, and water absorption. The findings showed that decreased strength and increased water absorption for cement-to-aggregate ratio (C: A) increased from 1:6 to 1:24; however, all produced SMBs satisfied the requirements specified by Indian and ASTM standards. The study concluded that using 100% RCAs in SMBs is structurally sound and environmentally beneficial, meeting international standards. Employing recycled aggregate concrete blocks lowers environmental impact and aids in sustainable development by facilitating the life-cycle closure of the building materials.
Spatial regression analysis of political gender gap in Japan
Authors: Kuromiya Kenichi 
Published: November 2024

AbstractInternationally, it has been repeatedly pointed out that the proportion of female members in the Diet and the local assemblies is extremely low in Japan. This is called a political gender gap. We analyzed the relationships between socioeconomic indicators and this political gender gap, and underlying causes using several spatial regression models. Prefectures are geographically connected; so, they can influence each other. Therefore, we incorporated geographical relationships between prefectures into the model. We found that a high proportion of women in a particular prefectural assembly was associated with a low proportion of women in adjacent prefectural assemblies. Thus, competition and repulsion exist between the adjacent prefectural assemblies. Furthermore, several series of analyses using spatial regression models showed that the impact of the political gender gap in a particular prefecture spread to adjacent prefectures, but not further. We found that considering prefectural spatial autocorrelations was important while examining the political gender gap, and previous studies that did not consider spatial autocorrelation might have been biased. However, here we were able to better explain the background of real-world phenomena occurring in the real world by applying spatial regression models.
Enhancing Accessibility in Online Shopping: A Dataset and Summarization Method for Visually Impaired Individuals
Authors: Pal Ratnabali , Kar Samarjit , Sekh Arif Ahmed 
Published: November 2024

AbstractA visually impaired individual (VI) encounters numerous challenges in their daily activities, particularly in tasks reliant on visual systems such as navigation, educational pursuits, and shopping. Online shopping poses a heightened difficulty due to its reliance on visual representations of products in digital formats. The impact of visual impairment on product selection based on reviews remains inadequately investigated. This study endeavors to address two primary objectives. Firstly, we propose the creation of a dataset comprising product review videos (referred to as PVS10) tailored for visually impaired individuals. Secondly, we present a foundational summarization methodology designed to facilitate access to pertinent and informative content within extensive video collections for visually impaired individuals. Our dataset, gathered from YouTube, encompasses 10 distinct products, each associated with the top 10 review videos, totaling 100 videos of varying lengths. Utilizing the search term "review videos of PRODUCT NAME", we assembled the dataset to facilitate automated summarization processes aimed at maximizing salient information, minimizing redundant content, and preserving the overarching sentiment conveyed in the reviews. This research focuses on the challenges faced by visually impaired people in online shopping, particularly when selecting products based on customer reviews. Our study demonstrates that people with visual impairments may actively explore product reviews and only acquire the information they require.
Activation of 5-HT7 receptors in the mouse dentate gyrus does not affect theta-burst-induced plasticity at the perforant path synapse
Authors: Siwiec Marcin , Bobula Bartosz , Kielbinski Michal , Multan Nikola , Hess Grzegorz , Tokarski Krzysztof 
Published: November 2024

Abstract
Background
The study examined the effects of 5-HT7 receptor activation on GABAergic transmission within the dentate gyrus and plasticity at the glutamatergic perforant path input.

Methods
Immunofluorescence imaging was performed using transverse hippocampal slices from transgenic mice expressing green fluorescent protein (GFP) under the Htr7 promoter. This was followed by whole-cell patch clamp electrophysiological recordings assessing the effects of pharmacologically activating 5-HT7 receptors on spontaneous inhibitory postsynaptic currents recorded from dentate granule cells and hilar mossy cells—two glutamatergic neuron types present in the dentate gyrus. Extracellular recordings of field excitatory postsynaptic potentials were then performed to assess whether 5-HT7 receptor activation influenced theta-burst stimulation-evoked plasticity of the perforant path synaptic input.

Results
It was found that parvalbumin and somatostatin interneurons in the dentate gyrus expressed GFP, which suggests they express 5-HT7 receptors. However, activation of 5-HT7 receptors had no effect on GABAergic transmission targeting mossy cells or granule cells. There was also no effect of 5-HT7 receptor activation on perforant path plasticity either with intact or blocked GABAA receptor signaling.

Conclusion
The presence of 5-HT7 receptors in a subset of parvalbumin and somatostatin interneurons in the mouse dentate gyrus could mean that they are involved in the inhibitory control of dentate gyrus activity. However, this potential effect was not evident in slice recordings of inhibitory transmission targeting principal cells and did not affect perforant path plasticity. Further experiments are needed to fully elucidate the functional role of these receptors in the dentate gyrus.
A Co‐Produced Workflow for Addressing Inequities in Cooling Center Access
Authors: Watkins Lance , Brown Heidi E. , Keith Ladd , Austhof Erika , Lin Hsini , Chambers Samuel N. , Tabor Joseph , Gettel Aaron , Guardaro Melissa 
Published: November 2024

AbstractIncreasing extreme heat poses challenges to metropolitan areas, such as those areas already experiencing extreme heat in Arizona. Using the US Centers for Disease Control and Prevention (CDC)'s Building Resilience Against Climate Effects (BRACE) Framework, state and local health departments have looked to expand cooling center networks as one option to build heat resilience. We present a method to pick new locations for cooling centers based on demand and current coverage. Using two locations in Arizona, we highlight differences in workflows and how the resulting information can be incorporated into separate but parallel efforts to reduce heat impacts. We used the Network Analyst Location‐Allocation tool in ArcGIS Pro to maximize coverage of cooling centers in each area, so that additional cooling centers are selected to reflect local needs. The input data and parameters of the workflow were co‐produced with input from two county health departments and a cooling center working group to better address the unique challenges related to cooling center access. To facilitate the application of this approach to other regions seeking to address heat health inequities, we provide a detailed protocol and a discussion of alternative selections.
Global Land Subsidence: Impact of Climate Extremes and Human Activities
Authors: Huning Laurie S. , Love Charlotte A. , Anjileli Hassan , Vahedifard Farshid , Zhao Yunxia , Chaffe Pedro L. B. , Cooper Kevin , Alborzi Aneseh , Pleitez Edward , Martinez Alexandre , Ashraf Samaneh , Mallakpour Iman , Moftakhari Hamed , AghaKouchak Amir 
Published: November 2024

AbstractGlobally, land subsidence (LS) often adversely impacts infrastructure, humans, and the environment. As climate change intensifies the terrestrial hydrologic cycle and severity of climate extremes, the interplay among extremes (e.g., floods, droughts, wildfires, etc.), LS, and their effects must be better understood since LS can alter the impacts of extreme events, and extreme events can drive LS. Furthermore, several processes causing subsidence (e.g., ice‐rich permafrost degradation, oxidation of organic matter) have been shown to also release greenhouse gases, accelerating climate change. Our review aims to synthesize these complex relationships, including human activities contributing to LS, and to identify the causes and rates of subsidence across diverse landscapes. We primarily focus on the era of synthetic aperture radar (SAR), which has significantly contributed to advancements in our understanding of ground deformations around the world. Ultimately, we identify gaps and opportunities to aid LS monitoring, mitigation, and adaptation strategies and guide interdisciplinary efforts to further our process‐based understanding of subsidence and associated climate feedbacks. We highlight the need to incorporate the interplay of extreme events, LS, and human activities into models, risk and vulnerability assessments, and management practices to develop improved mitigation and adaptation strategies as the global climate warms. Without consideration of such interplay and/or feedback loops, we may underestimate the enhancement of climate change and acceleration of LS across many regions, leaving communities unprepared for their ramifications. Proactive and interdisciplinary efforts should be leveraged to develop strategies and policies that mitigate or reverse anthropogenic LS and climate change impacts.
Land Processes Can Substantially Impact the Mean Climate State
Authors: Zarakas Claire M. , Kennedy Daniel , Dagon Katherine , Lawrence David M. , Liu Amy , Bonan Gordon , Koven Charles , Lombardozzi Danica , Swann Abigail L. S. 
Published: November 2024

AbstractTerrestrial processes influence the atmosphere by controlling land‐to‐atmosphere fluxes of energy, water, and carbon. Prior research has demonstrated that parameter uncertainty drives uncertainty in land surface fluxes. However, the influence of land process uncertainty on the climate system remains underexplored. Here, we quantify how assumptions about land processes impact climate using a perturbed parameter ensemble for 18 land parameters in the Community Earth System Model version 2 under preindustrial conditions. We find that an observationally‐informed range of land parameters generate biogeophysical feedbacks that significantly influence the mean climate state, largely by modifying evapotranspiration. Global mean land surface temperature ranges by 2.2°C across our ensemble (σ = 0.5°C) and precipitation changes were significant and spatially variable. Our analysis demonstrates that the impacts of land parameter uncertainty on surface fluxes propagate to the entire Earth system, and provides insights into where and how land process uncertainty influences climate.
Strain Partitioning, Interseismic Coupling, and Shallow Creep Along the Ganzi‐Yushu Fault From Sentinel‐1 InSAR Data
Authors: Cai Jianfeng , Wen Yangmao , He Kefeng , Wang Xiaohang , Xu Caijun 
Published: November 2024

AbstractThe Ganzi‐Yushu fault (GYF) is one of the most seismically active fault systems in eastern Tibet, having experienced five M > 7.0 earthquakes over the past 300 years. Here, we use Sentinel‐1 InSAR data spanning from 2014 to 2023 to derive the interseismic velocity fields along the GYF. We calculate the strain rate fields for the entire fault system, which reveal localized strain accumulation along the GYF as well as along two secondary faults within the Bayan Har block. The inversion results obtained from the elastic block model indicate left‐lateral strike slip rates of 4.0–6.5 mm/yr along the GYF and five locked segments distributed along strike. Furthermore, we identify two shallow creeping segments on the InSAR velocity maps. Based on the locations of the creeping sections and their temporal decay characteristics, we infer that the shallow creep along the GYF is afterslip of the 2010 Yushu earthquake.
Nightside Electron Precipitation Patterns as Observed by ELFIN and CIRBE CubeSats
Authors: Zhang Kun , Artemyev Anton V. , Li Xinlin , Zhang Xiao‐Jia , Angelopoulos Vassilis , Mei Yang , Xiang Zheng , Grimmich Niklas 
Published: November 2024

AbstractThe rapidly expanding fleet of low‐altitude CubeSats equipped with energetic particle detectors brings new opportunities for monitoring the dynamics of the radiation belt and near‐Earth plasma sheet. Despite their small sizes, CubeSats can carry state‐of‐the‐art instruments that provide electron flux measurements with finer energy resolution and broader energy coverage, compared to conventional missions such as POES satellites. The recently launched CIRBE CubeSat measures 250–6,000 keV electrons with extremely high energy resolution, however, CIRBE typically only measures locally‐trapped electrons and cannot directly measure the precipitating electrons. This work aims to develop a technique for identifying indications of nightside precipitation using the locally‐trapped electron measurements by the CIRBE CubeSat. This study focuses on two main types of drivers for nightside precipitation: electron scattering by the curvature of magnetic field lines in the magnetotail current sheet and electron scattering by resonance with electromagnetic ion cyclotron (EMIC) waves. Using energy and pitch‐angle resolved electron fluxes from the low‐altitude ELFIN CubeSat, we reveal the features that distinguish between these two precipitation mechanisms based solely on locally‐trapped flux measurements. Then we present measurements from four CIRBE orbits and demonstrate the applicability of the proposed technique to the investigation of nightside precipitation using CIRBE observations, enabling separation between precipitation induced by curvature scattering and EMIC waves in nearby regions. Our study underscores the feasibility of employing high‐energy‐resolution CIRBE measurements for detecting nightside precipitation of relativistic electrons. Additionally, we briefly discuss outstanding scientific questions about these precipitation patterns that could be addressed with CIRBE measurements.
Dʺ Structures Beneath the East China Sea Resolved by P‐Wave Slowness Anomalies
Authors: Li Jiewen , Tian Dongdong , Sun Daoyuan , Tong Ping 
Published: November 2024

AbstractThe Dʺ layer, defined as 200–400 km in the lowermost mantle, is a thermal and chemical boundary layer between the solid silicate mantle and the liquid outer core. Deciphering the detailed structures of the Dʺ region is essential for unlocking the thermal and chemical states in the deep Earth. Here, we precisely measure the slowness and back‐azimuth of the direct P‐waves by beamforming based on the F‐trace stack at the KZ Array in Kazakhstan, to investigate the detailed Dʺ structures beneath the East China Sea. The P‐wave slowness for rays turning beneath the East China Sea exhibits a significant anomaly as a function of the P‐wave turning depth. Strong correlations between slowness and back‐azimuth anomalies for rays from different directions suggest a tilted Moho, with a tilting direction of ∼103° and a dip angle of ∼15°, beneath the KZ Array, further supported by radial receiver functions. After correcting for the slowness anomalies caused by the tilted Moho and heterogeneities outside the Dʺ layer, we construct a series of Vp Dʺ models to fit the remaining slowness anomalies for rays sampling the East China Sea. We obtain the best Dʺ model with a height of 360 km, a maximum δVp of +1.4%, a Dʺ discontinuity thickness of 120 km, and an 80‐km low‐velocity layer at the base of the mantle by minimizing residuals between the predicted and observed slowness anomalies. Combining the sharpness of the Dʺ discontinuity imaged here with mineralogical analysis suggests a Fe‐enriched region in a cold subduction environment beneath the East China Sea.
Multivariate Evaluation of Flash Drought Across the United States
Authors: Otkin Jason A. , Zhong Yafang , Ford Trent W. , Anderson Martha C. , Hain Christopher , Hoell Andrew , Svoboda Mark , Wang Hailan 
Published: November 2024

AbstractThis study uses the flash drought intensity index (FDII) to develop a multivariate flash drought climatology for the contiguous U.S. using data from 2001 to 2021. The FDII method uses the rate of intensification (FD‐INT) and subsequent drought severity (DRO‐SEV) to determine when a flash drought occurred and the strength of the event. Overall, the results showed that flash drought occurrence and severity varied with season and region and were sensitive to the drought indicator used to compute the FDII. Precipitation‐based indicators identified more flash droughts across the western U.S. whereas soil moisture (SM) and evapotranspiration indicators identified more flash droughts across the central and eastern U.S. When assessed over the entire U.S., the most flash droughts were found when using an evaporative demand indicator. Though FD‐INT was larger than DRO‐SEV across the U.S. for most indicators, regional patterns were also evident in their relative importance. For example, a distinct east‐west gradient was present in the SM and evapotranspiration FD‐INT, with relatively large values in the central and eastern U.S. A combined data set synthesizing information from multiple indicators showed that the strongest flash droughts from a multivariate perspective were located in the central and southeastern U.S. A seasonal analysis revealed a distinct seasonal cycle in flash drought onset across the western and central U.S. Together, the results illustrate the need to use a multivariate framework to identify and characterize the occurrence and severity of flash droughts.
Causal and common risk pathways linking childhood maltreatment to later intimate partner violence victimization
Authors: Pezzoli Patrizia , Pingault Jean-Baptiste , Eley Thalia C. , McCrory Eamon , Viding Essi 
Published: November 2024

AbstractChildhood maltreatment and intimate partner violence (IPV) victimization are major psychiatric risk factors. Maltreatment substantially increases the likelihood of subsequent IPV victimization, but what drives this association is poorly understood. We analyzed retrospective self-reports of maltreatment and IPV victimization in 12,794 participants (58% women, 42% men) from the Twins Early Development Study at ages 21 and 26 using quantitative genetic methods. We estimated the etiological influences common to maltreatment and IPV, and the effect of maltreatment on IPV beyond such common influences. Participants who reported childhood maltreatment ( ~ 7% of the sample) were 3 times more likely than their peers to also report IPV victimization at age 21, 4 times more likely at 26. The association between maltreatment and IPV was mostly due to environmental influences shared by co-twins (42–43%) and genetic influences (30–33%), as well as nonshared environmental influences (25–27%). The association between maltreatment and IPV was similar for women and men, but its etiology partly differed by sex. Maltreatment had a moderate effect on IPV in phenotypic models (β = 0.25–0.30), decreasing to a small-to-moderate range in causally informative models accounting for their common etiology (β = 0.15–0.21). Risk factors common to maltreatment and IPV victimization are largely familial in origin, environmental and genetic. Even considering common risk factors, experiencing maltreatment may be causally related to subsequent IPV victimization. Interventions promoting safe intimate relationships among young adults exposed to maltreatment are warranted and should address family-level environmental risk and individual-level risk shaped by genetics.