bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of imagery rescripting to intrusive autobiographical memories in depression
Authors: Stavropoulos Adele , Brockman Robert , Berle David 
Published: November 2022

Abstract
Intrusive autobiographical memories are a prominent feature of depression implicated in the onset and course of the disorder. Current cognitive behavioural treatment of depression does not specify techniques to address intrusive memories. Imagery rescripting has been demonstrated to be effective in the treatment of trauma-related intrusive memories. This paper illustrates the application of imagery rescripting as a stand-alone treatment for two patients experiencing a current major depressive episode. The two cases are described in detail and follow-up data are reported. Both patients experienced clinically significant and reliable change in their depression scores and no longer met criteria for a current major depressive episode at post-assessment, with gains maintained at 3-month follow-up. Implications are discussed for the theoretical mechanisms of change of this intervention as well as methods to overcome common treatment obstacles that arise in depression.

Key learning aims

(1)
To learn how intrusive autobiographical memories are implicated in the onset and maintenance of depression.

(2)
To learn the limitations that may present clinically when applying verbal-linguistic techniques such as cognitive restructuring to intrusive memories.

(3)
To learn when imagery rescripting may be required to treat intrusive memories and how to implement this technique to overcome traditional treatment obstacles in depression.
Active 5G radio resource management measurements using a multiple CATR reflector system
Authors: Rowell Corbett , Cardalda Garcia Adrian , Derat Benoit 
Published: November 2022

AbstractThis paper presents results for active and passive measurements using a novel method based on multiple compact antenna test range (CATR) reflectors to perform simultaneous multiple angle measurements in order to characterize the beam-forming characteristics in a real environment of the 5G devices operating in the millimeter wave frequency band: 24–44 GHz. The over-the-air (OTA) system generates four planar wavefronts with different incidence angles, realizing up to five pairs of angular spreads or four switched/simultaneous angles of arrival. The initial target application is radio resource management (RRM) testing, where the execution of mobility procedures and radio link monitoring of a 5G millimeter wave device are evaluated. The applicability of the multi-reflector approach to RRM testing is measured with commercial 5G handsets, through three test scenarios. The paper demonstrates that baseband (non OTA) testing is not sufficient for RRM FR2, as the results are influenced by the direction of arrival of the signal. It is further shown that OTA testing in a multi-reflector CATR system and a careful selection of a representative set of test directions is critical for full characterization of the performance of a wireless device operating in the millimeter wave bands.
Livestock Support and Water Depletion in Turkey
Authors: Schuenemann Franziska , Hess Sebastian 
Published: November 2022

AbstractTurkey serves as an important food hub for neighboring countries in the water‐scarce Middle East and North African region, and self‐sufficiency in agri‐food production is one of the country's major policy objectives. The Turkish government had therefore introduced various support measures for its inefficient livestock sector, including payments for irrigated fodder crops, which are likely to increase water depletion. To simultaneously assess the economic and environmental effects of these policies, we link an economy‐wide computable general equilibrium model of Turkey to a newly developed water footprint module. We find that removal of direct livestock support may not lead to large water savings, but may instead redirect irrigation water to higher value crops. Conversely, removal of fodder subsidies and overall efficiency improvements in livestock can lead to overall water savings and net economic gains.
A Model Sensitivity Study of Ocean Surface Wave Modulation Induced by Internal Waves
Authors: Wu Jie , Ortiz‐Suslow David G. , Hao Xuanting , Wang Qing , Shen Lian 
Published: November 2022

AbstractNonlinear internal waves are an upper ocean phenomenon that drives horizontal surface current gradients, which in turn modulate ocean surface waves. Under certain conditions, this wave‐current interaction creates ocean surface roughness heterogeneity, in the form of alternating rough/smooth bands. In this study, we investigate the sensitivity of the modulation effect to internal wave properties and develop sea states using simulations of individual internal wave solitons. We utilize a phased‐resolved two‐layer fluid model to capture the evolution of surface waves deterministically. We conduct extensive simulations with a wide range of parameters, including fluid layer density ratio, internal wave amplitude, and parametric wind speed. We use the ratio of the mean surface slope between the rough and smooth bands, which are identified in the simulated surface wave field, to systematically investigate their response to the internal wave forcing across all our simulation cases. Our results show that, among the internal wave parameters, the upper‐lower layer density ratio causes the strongest surface heterogeneity. Spectral analysis of the surface wave elevation and slope variance reveals that the wavenumbers above the peak are most impacted. We demonstrate that accounting for the internal wave‐induced modulation requires including wave steepness statistics, for example, when modeling air‐sea exchange using a surface roughness, z0, parameter. Currently, these statistics are not included in typically coupled modeling schemes, and these systems cannot account for the impact of internal waves, even if the solitary wave phenomena are resolved.
Synoptic Climatology of Subtropical Cyclone Impacts on Near‐Surface Winds Over the South Atlantic Basin
Authors: Cardoso Andressa A. , da Rocha Rosmeri P. , Crespo Natália M. 
Published: November 2022

AbstractWinds and precipitation are two meteorological variables of great impact on the economy and society, especially when extreme events occur. The objective of this study is to investigate the subtropical cyclone (SC) impacts on near‐surface wind extremes (defined by 95th percentile) and precipitation in the South Atlantic basin. For the period 1979–2015, the analysis used two reanalysis data (ERA5 and Climate Forecast System Reanalysis [CFSR]) and estimated precipitation from the Tropical Rainfall Measuring Mission (TRMM) considering the extended warm (from September to February) and cold (from March to August) seasons. A total of 169 SCs occurred in the warm season against 87 in the cold one. Two approaches are used to quantify SC impacts: Lagrangian, where the composites follow the cyclone center, and Eulerian, which considers the averaged environment during the cyclone lifecycle. In general, both approaches indicate SC contribution to the positive anomalies of mean and extreme near‐surface wind speeds to the east and northeast of a cyclogenetic region in southeastern Brazil (RG1). For all analyses conducted, wind speeds from CFSR are higher than in ERA5. The SC activity contributes to the enhancement of precipitation to the east and inside RG1 in an organized northwest‐southeast positive anomaly band from the continent to the ocean, while favoring drier conditions to the south. These positive precipitation anomalies are associated with an anomalous low pressure, low‐level moisture flux convergence and warm advection occurring at the same time with an upper‐level divergent flow near RG1. All these features are intensified in the cold season.
New Inferences on Magma Dynamics in Melilitite‐Carbonatite Volcanoes: The Case Study of Mt. Vulture (Southern Italy)
Authors: Carnevale G. , Caracausi A. , Rotolo S. G. , Paternoster M. , Zanon V. 
Published: November 2022

AbstractThis study provides the first micro‐thermometric data of fluid inclusions (FIs) in mafic loose (disaggregated) xenocrysts and ultramafic xenoliths in explosive products of the melilitite‐carbonatite Mt. Vulture volcano (southern Italy). Pure CO2 late stage FIs hosted in rock‐forming minerals of wehrlite xenoliths and clinopyroxene xenocrysts were trapped at the local crust‐mantle boundary (32 km). In contrast, trapping pressures within the loose olivine xenocrysts are from 3.2 to 4.5 kbar (8–13 km). Considering the ongoing degassing of mantle‐derived CO2 rich gases, together with seismic evidences of the presence of low amount of melts at depth, and the tectonic control of the past volcanic activity, our study opens new perspective about the hazardous nature of the “quiescent” melilitite‐carbonatite volcanoes.
Depth‐Dependent Crustal Stress Rotation and Strength Variation in the Charlevoix Seismic Zone (CSZ), Québec, Canada
Authors: Verdecchia A. , Onwuemeka J. , Liu Y. , Harrington R. M. 
Published: November 2022

AbstractIntraplate tectonic stress fields are complex due to the imprint of a long geological history. Here we use a new data set of earthquake focal mechanism solutions and relocated events to investigate the relationship between regional stress, crustal strength, and seismicity in the Charlevoix Seismic Zone (CSZ), the most active seismic zone in eastern Canada. Our stress inversion shows that SHmax gradually rotates clockwise from approximately St. Lawrence River‐parallel (∼54°) near the surface to river‐perpendicular (∼120°) in the lower crust, as postglacial rebound stress becomes increasingly dominant at greater depth. The stress rotation occurs primarily between ∼13 and ∼26 km depth, where glacial rebound induced stress perturbation is further amplified by a “weaker” middle crust. Finally, depth‐dependent b‐values confirm the rheological difference between upper and middle crust in the CSZ.
Derived Depths in Opaque Waters Using ICESat‐2 Photon‐Counting Lidar
Authors: Yang Jian , Ma Yue , Zheng Huiying , Xu Nan , Zhu Kai , Wang Xiao Hua , Li Song 
Published: November 2022

AbstractSince turbid waters make it extremely difficult for light to penetrate the water column due to attenuation, performing satellite‐derived bathymetry using spectral images and/or photon‐counting lidars is a very challenging problem in turbid waters. The photon‐counting lidar borne on Ice, Cloud, and Land Elevation Satellite‐2 (ICESat‐2) can obtain high‐resolution and accurate height estimations of sea surfaces, that do not depend on the water clarity. Using the ocean surface waves calculated from ICESat‐2 and classical wave theory that models the relationship between the water depth and wavelength, we propose a method to estimate the depths in opaque waters. The performance is validated in different water qualities with a mean absolute percent error of 9%∼22%. The basic theory of estimating water depths in this study is entirely different from that of conventional laser bathymetry, and this method has the potential to fill the gap of space‐based bathymetric data sets in turbid waters.
Brine Volume Fraction as a Habitability Metric for Europa's Ice Shell
Authors: Wolfenbarger N. S. , Fox‐Powell M. G. , Buffo J. J. , Soderlund K. M. , Blankenship D. D. 
Published: November 2022

AbstractBrine systems in Europa's ice shell have been hypothesized as potential habitats that could be more accessible than the sub‐ice ocean. We model the distribution of sub‐millimeter‐scale brine pockets in Europa's ice shell. Through examination of three habitability metrics (water activity, ionic strength, and salinity), we determine that brine pockets are likely not geochemically prohibitive to life as we know it for the chloride and sulfate‐dominated ocean compositions considered here. Brine volume fraction is introduced as a novel habitability metric to serve as a proxy for nutrient transport and recycling—because of its role in governing permeability—and used to define regions where nutrient‐open, nutrient‐closed, and relict habitats are stable. Whereas nutrient‐closed habitats could exist wherever brine is stable, nutrient‐open habitats are confined to meter‐scale regions near the ice‐ocean interface where freezing is occurring. This classification scheme can help guide future life‐detection missions to ocean worlds.
Airborne Observations of Shoaling and Breaking Internal Waves
Authors: Vrećica Teodor , Pizzo Nick , Lenain Luc 
Published: November 2022

AbstractInternal waves (IW) are crucial contributors to the transport of sediment, heat, and nutrients in coastal areas. While IW have been extensively studied using point measurements, their spatial variability is less well understood. In this paper we present a unique set of high‐resolution infrared imagery collected from a helicopter, hovering over very energetic shoaling and breaking IW. We compute surface velocities by tracking the evolution of thermal structures at the ocean surface and find horizontal velocity gradients with magnitudes that are more than 100 times the Coriolis frequency. Under the assumption of no vertical shear we determine vertical velocities from the obtained horizontal divergence estimates and identify areas of the wave undergoing breaking. The spatial variability of the internal wave occurs on scales from a few to a few hundred meters. These results highlight the need to collect spatio‐temporal observations of the evolution of IW in coastal areas.
Stratospheric Circulation Changes Associated With the Hunga Tonga‐Hunga Ha'apai Eruption
Authors: Coy L. , Newman P. A. , Wargan K. , Partyka G. , Strahan S. E. , Pawson S. 
Published: November 2022

AbstractThe 15 January 2022 eruption of the Hunga Tonga‐Hunga Ha'apai underwater volcano (20.5°S, 175.4°W) injected a record amount of water directly into the stratosphere. This study attempts to quantify this impact on the temperature, as well as the subsequent changes to the stratospheric circulation, during the months following the eruption based on reanalysis fields. The extreme nature of the temperature, wind, and circulation changes are tracked through comparisons of the first six months of 2022 with the previous 42 years. Examination of the data assimilation process shows that at 20 hPa the thermal observations are forcing significant cooling, compensating for the absence of the excess stratospheric moisture in the model used for the reanalysis. In response to this cooling the atmosphere adjusts by creating strong westerly winds above the temperature anomaly and large changes to the downward and poleward mean meridional circulation.
Understanding Evaporation Duct Variabilities on Turbulent Eddy Scales
Authors: Franklin K. B. , Wang Q. , Jiang Q. , Shen L. 
Published: November 2022

AbstractEvaporative Ducts (ED) are common refractive features that exist due to the persistent/strong vertical moisture gradient inherent to the lowest 10s of meters of the marine atmospheric surface layer (MASL). The ED plays a large role in the propagation of signals from the surface‐ or ship‐based radar/communications systems due to the ducting of electromagnetic (EM) waves. Previous studies have characterized ED structure using mesoscale and surface layer models which are based on the Monin‐Obukhov similarity theory. As a result, only the spatially/temporally averaged mean ED structure has been examined. Conversely, this study focuses on ED variability occurring over turbulent energy‐containing eddy scales by utilizing large‐eddy simulations (LES) of the MASL. This innovative approach reveals that the LES‐resolved refractivity perturbations are directly linked to MASL large eddy dynamic and thermodynamic processes. In the thermally unstable MASL, significant turbulent ED variability is noted, with regions of increased ED heights associated with convective updrafts and positive moisture perturbations. In contrast, the thermally stable MASL is shown to exhibit significantly less ED variability over the LES domain. Since current surface layer models have difficulties in calculating ED properties in the thermally stable MASL, utilization of LES is helpful to gain an understanding of the ED in these conditions. A conceptual model of turbulent ED variation is proposed to describe the relationship between MASL dynamics/thermodynamic processes, state variable perturbations, and refractive variations.
Evaluation of Nominal Energy Storage at Existing Hydropower Reservoirs in the US
Authors: Hansen Carly , Ghimire Ganesh R. , Kao Shih‐Chieh 
Published: November 2022

AbstractLong‐term planning and operation of hydropower reservoirs require an understanding of both water and energy storage. As energy storage needs of the evolving grid increase, we must account for the water and energy storage potential of these reservoirs. Given the limitations of current data on existing hydropower, we compile statistics related to storage volume and hydraulic head from publicly available data sets and examine differences in descriptions of US hydropower storage. Assembled characteristics are used to calculate nominal energy storage capacity, a simple measure of potential to generate power from a given volume of water, not factoring in detailed constraints. Inventory‐based estimates of energy storage are calculated at 2,075 dams, which helps put the potential for US hydropower to support energy storage in context with similar evaluations in other regions and with other energy storage technologies. The national energy storage capacity ranges between 34.5 and 45.1 TWh depending on the information used, with 52% of energy storage located at the 10 largest reservoirs in the US. Energy storage capacities are also calculated at 236 dams with historical volume and elevation data. Finally, reservoir inflows provide context for the storage volumes and sensitivities to hydrologic variability. Larger reservoirs with greater storage volume to inflow ratios are concentrated in the Western US, but the majority of hydropower reservoirs store less than the annual inflow. We address several infrastructure and water resource informatics challenges and highlight remaining issues, including representing seasonal or shorter variability in water volumes and representing connected hydropower facilities.
Response of Erosive Precipitation to Vegetation Restoration and Its Effect on Soil and Water Conservation Over China's Loess Plateau
Authors: Zhang Baoqing , Tian Lei , He Chansheng , He Xiaogang 
Published: November 2022

AbstractLarge‐scale vegetation restoration profoundly affects ecohydrological and hydrometeorological processes with consequent effects on soil and water conservation. However, it is still unclear how revegetation affects the joint relationship between streamflow and sediment yield from the land‐atmosphere interactions perspective. In this study, we combine in situ hydro‐meteorological observations, satellite observed land surface characteristics, and coupled land‐atmosphere model simulations to address this knowledge gap through a case study focusing on the Loess Plateau, where a megaproject of revegetation has been implemented since 2000. We find that historical annual streamflow and sediment yield have decreased over the Loess Plateau and 12 main revegetated basins, mainly due to enhanced canopy transpiration and soil conservation functions of revegetation. However, the magnitude of sediment yield reduction is much higher than that of streamflow for both mainstream and tributaries of the Yellow River. Specifically, the mean decreasing rate of sediment yield is 2.91 times of streamflow in the mainstream Yellow River, while for tributaries, the mean decline rate of sediment yield is 1.71 times of streamflow. Despite increases in total precipitation amount, erosive precipitation exhibits a clear downward trend over the Loess Plateau after the large‐scale revegetation (2000–2015). This is mainly driven by enhanced local moisture recycling caused by revegetation‐induced redistribution of water and energy budgets. Decreases in erosive precipitation frequency coupled with increased precipitation amount enhance streamflow availability and simultaneously mitigate soil erosion. Our findings highlight the importance of factoring in the two‐way feedbacks between revegetation and erosive precipitation when planning soil and water conservation.
Proxy methods for detection of inhalation exposure in simulated office environments
Authors: Yun Seoyeon , Zhong Sailin , Alavi Hamed S. , Alahi Alexandre , Licina Dusan 
Published: November 2022

Abstract
Background
Modern health concerns related to air pollutant exposure in buildings have been exacerbated owing to several factors. Methods for assessing inhalation exposures indoors have been restricted to stationary air pollution measurements, typically assuming steady-state conditions.

Objective
We aimed to examine the feasibility of several proxy methods for estimating inhalation exposure to CO2, PM2.5, and PM10 in simulated office environments.

Methods
In a controlled climate chamber mimicking four different office setups, human participants performed a set of scripted sitting and standing office activities. Three proxy sensing techniques were examined: stationary indoor air quality (IAQ) monitoring, individual monitoring of physiological status by wearable wristband, human presence detection by Passive Infrared (PIR) sensors. A ground-truth of occupancy was obtained from video recordings of network cameras. The results were compared with the concurrent IAQ measurements in the breathing zone of a reference participant by means of multiple linear regression (MLR) analysis with a combination of different input parameters.

Results
Segregating data onto sitting and standing activities could lead to improved accuracy of exposure estimation model for CO2 and PM by 9–60% during sitting activities, relative to combined activities. Stationary PM2.5 and PM10 monitors positioned at the ceiling-mounted ventilation exhaust in vicinity of the seated reference participant accurately estimated inhalation exposure (adjusted R² = 0.91 and R² = 0.87). Measurement at the front edge of the desk near abdomen showed a moderate accuracy (adjusted R² = 0.58) in estimating exposure to CO2. Combining different sensing techniques improved the CO2 exposure detection by twofold, whereas the improvement for PM exposure detection was small (~10%).

Significance
This study contributes to broadening the knowledge of proxy methods for personal exposure estimation under dynamic occupancy profiles. The study recommendations on optimal monitor combination and placement could help stakeholders better understand spatial air pollutant gradients indoors which can ultimately improve control of IAQ.