bluuebunny/crossref_metadata_2025 huggingface dataset:
Emergency Department Utilization, Hospital Admissions, and Office-Based Physician Visits Among Under-Resourced African American and Latino Older Adults
Authors: Cobb Sharon , Bazargan Mohsen , Assari Shervin , Barkley Lisa , Bazargan-Hejazi Shahrzad
Published: January 2022

Objectives

This study uses a theoretical model to explore (a) emergency department (ED) utilization, (b) hospital admissions, and (c) office-based physician visits among sample of under-resourced African American and Latino older adults.

Methods

Nine hundred five African American and Latino older adults from an under-resourced urban community of South Los Angeles participated in this study. Data was collected using face-to-face interviews. Poisson and logistic regression analysis were used to estimate the parameters specified in the Andersen behavioral model. Predictors included predisposing factors, defined as demographic and other personal characteristics that influence the likelihood of obtaining care, and enabling factors defined as personal, family, and community resources that support or encourage efforts to access health services.

Results

African American older adults have a greater frequency of hospital admissions, ED, and physician visits than their Latino counterparts. About 25%, 45%, and 59% of the variance of the hospital admissions, ED utilization, and physician visits could be explained by predisposing and enabling characteristics. Lower health-related quality of life was associated with a higher number of hospital admissions, ED, and physician visits. Financial strain and difficulty accessing medical care were associated with a higher number of hospital admissions. Being covered by Medicare and particularly Medi-Cal were positively associated with higher hospital admissions, ED, and physician visits.

Discussion

Compared to African American older adults, Latino older adults show higher utilization of (a) emergency department (ED) utilization, (b) hospital admissions, and (c) office-based physician visits. A wide range of predisposing and enabling factors such as insurance and financial difficulties correlate with some but not other types of health care use. Multi-disciplinary, culturally sensitive, clinic- and community-based interventions are needed to address enabling and predisposing factors that influence ED utilization and hospital admission among African American and Latino older adults in under-resourced communities.
Trafficability Prediction Using Depth-to-Water Maps: the Status of Application in Northern and Central European Forestry
Authors: Hoffmann Stephan , Schönauer Marian , Heppelmann Joachim , Asikainen Antti , Cacot Emmanuel , Eberhard Benno , Hasenauer Hubert , Ivanovs Janis , Jaeger Dirk , Lazdins Andis , Mohtashami Sima , Moskalik Tadeusz , Nordfjell Tomas , Stereńczak Krzysztof , Talbot Bruce , Uusitalo Jori , Vuillermoz Morgan , Astrup Rasmus
Published: January 2022

Purpose of Review

Mechanized logging operations with ground-based equipment commonly represent European production forestry but are well-known to potentially cause soil impacts through various forms of soil disturbances, especially on wet soils with low bearing capacity. In times of changing climate, with shorter periods of frozen soils, heavy rain fall events in spring and autumn and frequent needs for salvage logging, forestry stakeholders face increasingly unfavourable conditions to conduct low-impact operations. Thus, more than ever, planning tools such as trafficability maps are required to ensure efficient forest operations at reduced environmental impact. This paper aims to describe the status quo of existence and implementation of such tools applied in forest operations across Europe. In addition, focus is given to the availability and accessibility of data relevant for such predictions.

Recent Findings

A commonly identified method to support the planning and execution of machine-based operations is given by the prediction of areas with low bearing capacity due to wet soil conditions. Both the topographic wetness index (TWI) and the depth-to-water algorithm (DTW) are used to identify wet areas and to produce trafficability maps, based on spatial information.

The required input data is commonly available among governmental institutions and in some countries already further processed to have topography-derived trafficability maps and respective enabling technologies at hand. Particularly the Nordic countries are ahead within this process and currently pave the way to further transfer static trafficability maps into dynamic ones, including additional site-specific information received from detailed forest inventories. Yet, it is hoped that a broader adoption of these information by forest managers throughout Europe will take place to enhance sustainable forest operations.
Rethinking the Methodological Foundation of Historical Political Science
Authors: Shi Qipeng
Published: January 2022

The basis of a methodology determines whether a research method can fit the core characteristics of a particular academic tradition, and thus, it is crucial to explore this foundation. Keeping in mind the controversy and progress of the philosophy of social sciences, this paper aims to elaborate on four aspects including the cognitive model, the view of causality, research methods, and analysis techniques, and to establish a more solid methodological basis for historical political science. With respect to the “upstream knowledge” of methodology, both positivism and critical realism underestimate the tremendous difference between the natural world and the social world. This leads to inherent flaws in controlled comparison and causal mechanism analysis. Given the constructiveness of social categories and the complexity of historical circumstances, the cognitive model of constructivism makes it more suitable for researchers to engage in macro-political and social analysis. From the perspective of constructivism, the causality in “storytelling,” i.e., the traditional narrative analysis, is placed as the basis of the regularity theory of causality in this paper, thus forming the historical–causal narrative. The historical–causal narrative focuses on how a research object is shaped and self-shaped in the ontological historical process, and thus ideally suits the disciplinary characteristics of historical political science. Researchers can complete theoretical dialogues, test hypotheses, and further explore the law of causality in logic and evidence, thereby achieving the purpose of “learning from history” in historical political science.
Afterword: Transnational Asian Studies—Toward More Inclusive Theory and Practice
Authors: Ryang Sonia
Published: January 2022

Based on the articles in this “Global Asias” forum, this essay proposes that in order to build a meaningful bridge between Asian studies and Asian American studies, we must first face what needs to be critically overcome in Asian studies itself: persistent white male domination of the field, on the one hand, and historical role that the United States has played in Asia, on the other. One possibility is to adopt a transnational Asian studies approach, which advocates bringing Asian studies and Asian American studies together while also envisioning radical interdisciplinarity across Asian studies and African American studies, Latino/a studies, and Asian American studies. The key to pursuing such an approach would be to create a teaching and research environment of inclusion and collaboration.
Global Asias: Method, Architecture, Praxis
Authors: Chen Tina
Published: January 2022

This essay draws on the philosophy, principles, and practices animating Global Asias scholarship to consider how this conceptual rubric shifts the ways in which we approach the subjects, objects, methods, and praxes of the academic study of Asia. Structurally dissonant as an epistemological project, Global Asias encourages scholars to acknowledge the institutional designs and disciplinary practices that currently organize and make legible work on Asia and its diasporas while simultaneously highlighting the limits of, and points of noncontact between, the broader infrastructures (including area studies, ethnic studies, diaspora studies, and the disciplines and interdisciplines) under which such work has traditionally been organized. In addition to offering a conceptual topography of Global Asias, this essay proposes three praxis-oriented concepts—relational nonalignment, structural dissonance, and imaginable ageography—that enable Global Asias as a tactical and evolving approach to the study of Asia and its multiple diasporas, one which actively resists the drive toward “critical consolidation” that often results from academic paradigm work.
Perspectives on paediatric sleep-disordered breathing in the UK: a qualitative study
Authors: Haighton C , Watson R M , Wilson J A , Powell S
Published: January 2022

Objective

There is limited understanding of treatment pathways for paediatric sleep-disordered breathing. This study explored current UK pathways and what is important to well-being for parents and children.

Method

The study comprised in-depth qualitative interviews (n = 22) with parents of children (2–9 years) with symptoms of sleep-disordered breathing referred to a regional ENT clinic (n = 11), general practitioners who might refer these children to ENT (n = 5) and hospital doctors involved in treating these children (n = 6). Interviews were audio recorded, transcribed verbatim, anonymised and analysed thematically.

Results

General practitioners rarely identify seeing children with sleep-disordered breathing; conversely hospital doctors identify unsuspected issues. Parents are worried their child will stop breathing, but routes to referral and diagnosis are not straightforward. Modern technology can aid investigation and diagnosis. Patient weight is an issue for general practitioners and hospital doctors. Adenotonsillectomy is the treatment of choice, and information on paediatric sleep-disordered breathing is needed.

Conclusion

Guidelines for the management of paediatric sleep-disordered breathing are needed.
Post-tonsillectomy advice: the UK patient experience
Authors: Gabrawi M , Haymes A , Davis J
Published: January 2022

Objective

Tonsillectomy is a common surgical procedure in the UK. This study critically examined the current advice provided by UK hospitals to patients about post-operative care.

Method

Post-tonsillectomy patient advice sheets were obtained from 110 UK National Health Service trusts and equivalent organisations. Their contents were analysed and compared with published literature to determine whether the advice being given to patients was evidence-based.

Results

Post-tonsillectomy dietary and fluid intake advice varied between hospitals; although many recommended eating and drinking a normal diet (88 per cent), some recommended eating ‘hard’ (26 per cent) or ‘soft’ (8 per cent) foods. Non-evidence based advice given included avoiding fizzy drinks (21 per cent), fruit juices (9 per cent) and using chewing gum (51 per cent). Reported post-operative risks and safety-netting also varied.

Conclusion

Much of the advice in the available printed information appeared to be anecdotal and not based on, or was contrary to, published evidence. After review of the literature, an evidence-based post-tonsillectomy patient advice sheet was generated for dissemination.
Predictors of pharmacotherapy outcomes for body dysmorphic disorder: a machine learning approach
Authors: Curtiss Joshua E. , Bernstein Emily E. , Wilhelm Sabine , Phillips Katharine A.
Published: January 2022

Background

Serotonin-reuptake inhibitors (SRIs) are first-line pharmacotherapy for the treatment of body dysmorphic disorder (BDD), a common and severe disorder. However, prior research has not focused on or identified definitive predictors of SRI treatment outcomes. Leveraging precision medicine techniques such as machine learning can facilitate the prediction of treatment outcomes.

Methods

The study used 10-fold cross-validation support vector machine (SVM) learning models to predict three treatment outcomes (i.e. response, partial remission, and full remission) for 97 patients with BDD receiving up to 14-weeks of open-label treatment with the SRI escitalopram. SVM models used baseline clinical and demographic variables as predictors. Feature importance analyses complemented traditional SVM modeling to identify which variables most successfully predicted treatment response.

Results

SVM models indicated acceptable classification performance for predicting treatment response with an area under the curve (AUC) of 0.77 (sensitivity = 0.77 and specificity = 0.63), partial remission with an AUC of 0.75 (sensitivity = 0.67 and specificity = 0.73), and full remission with an AUC of 0.79 (sensitivity = 0.70 and specificity = 0.79). Feature importance analyses supported constructs such as better quality of life and less severe depression, general psychopathology symptoms, and hopelessness as more predictive of better treatment outcome; demographic variables were least predictive.

Conclusions

The current study is the first to demonstrate that machine learning algorithms can successfully predict treatment outcomes for pharmacotherapy for BDD. Consistent with precision medicine initiatives in psychiatry, the current study provides a foundation for personalized pharmacotherapy strategies for patients with BDD.
Serum antioxidant status and mortality from influenza and pneumonia in US adults
Authors: Kang Habyeong , Hu Howard , Park Sung Kyun
Published: January 2022

Objective:

We examined the association between serum antioxidant status and mortality from influenza and pneumonia in US adults.

Design:

Serum concentrations of antioxidants included vitamin C, vitamin A, vitamin E, sum of α- and β-carotene, β-cryptoxanthin, lutein + zeaxanthin and lycopene. We computed total antioxidant capacity (TAC) as a measure of composite antioxidant status in serum. Survey-weighted Cox proportional hazard models were used to compute hazard ratios (HR) and 95 % CI comparing quartiles of each antioxidant and TAC.

Setting:

Data from the US National Health and Nutrition Examination Survey (NHANES)-III.

Participants:

A total of 7428 NHANES-III participants ≥45 years of age.

Results:

With a weighted-median follow-up of 16·8 years, 154 participants died from influenza/pneumonia. After adjustment for covariates, serum vitamin C, the sum of α- and β-carotene and TAC were nonlinearly associated with influenza/pneumonia mortality, with the statistically significant smallest HR at the third quartile v. the first quartile (HR = 0·38 (95 % CI: 0·19, 0·77), 0·29 (0·16, 0·51) and 0·30 (0·15, 0·59), respectively). HR comparing the fourth v. the first quartiles were weaker and nonsignificant: 0·57 (95 % CI: 0·27, 1·17), 0·70 (0·41, 1·19) and 0·65 (0·31, 1·35), respectively. Serum lycopene had a monotonic association with influenza/pneumonia mortality (HR = 0·43 (95 % CI: 0·23, 0·83) comparing the fourth v. the first quartile, Pfor trend = 0·01).

Conclusions:

The current study suggests that antioxidant intake as reflected by serum concentrations may reduce mortality risk from influenza or pneumonia in the US general population. These findings warrant further confirmation in other populations with different settings (e.g. a shorter-term association with influenza infection).
Maternal perception of child weight and concern about child overweight mediates the relationship between child weight and feeding practices
Authors: Wang Jian , Zhu Daqiao , Cheng Xuwen , Liuzhou Yicong , Zhu Bingqian , Montgomery Scott , Cao Yang
Published: January 2022

Objective:

To examine the mediating effects of maternal perception of child weight (weight perception) and concern about overweight (weight concern) on the paths between child weight and maternal feeding practices.

Setting:

Pudong District, Shanghai, China.

Participants:

A convenience sample of 1164 mothers who were primary caregivers of preschool children.

Results:

Sixty per cent of the mothers perceived their overweight/obese children as normal weight or even underweight. The disagreement between actual child weight and maternal weight perception was statistically significant (Kappa = 0·212,P< 0·001). Structural equation modelling indicated that weight perception fully mediated the relationship between child BMI Z-scores and pressure to eat. Weight concern fully mediated the relationships between child BMI Z-scores and the other three feeding practices. The serial mediating effects of weight perception and concern were statistically significant for the paths between child BMI Z-score and monitoring (β= 0·035,P< 0·001), restriction (β= 0·022,P< 0·001), and food as a reward (β= –0·017,P< 0·05).

Conclusion:

Child weight may influence maternal feeding practices through weight perception and concern. Thus, interventions are needed to increase the accuracy of weight perception, which may influence several maternal feeding practices and thereby contribute to child health.
Blockchain networks as constitutional and competitive polycentric orders
Authors: Alston Eric , Law Wilson , Murtazashvili Ilia , Weiss Martin
Published: January 2022

Institutional economists have analyzed permissionless blockchains as a novel institutional building block for voluntary economic exchange and distributed governance, with their unique protocol features such as automated contract execution, high levels of network and process transparency, and uniquely distributed governance. But such institutional analysis needs to be complemented by polycentric analysis of how blockchains change. We characterize such change as resulting from internal sources and external sources. Internal sources include constitutional (protocol) design and collective-choice processes for updating protocols, which help coordinate network participants and users. External sources include competitive pressure from other cryptocurrency networks. By studying two leading networks, Bitcoin and Ethereum, we illustrate how conceptualizing blockchains as competing and constitutional polycentric enterprises clarifies their processes of change.
Intersected Groups and Discriminatory Everyday Behavior
Authors: Agerström Jens , Carlsson Magnus , Strinić Andrea
Published: January 2022

Abstract. De-racialization research suggests that depicting members of ethnic minority groups as gay leads to less stereotypic perceptions of their ethnic group. However, whether the consequences of de-racialization translate into real-world behavior is unclear. In a large “lost letter” field experiment ( N = 6,654) where an email was ostensibly sent to the wrong recipient by mistake, we investigate whether the relative impact of signaling gayness (vs. heterosexuality) differs for Arab (minority) versus Swedish (majority) senders. The results show clear evidence of ethnic discrimination where Arab (minority) senders receive fewer replies (prosocial response) than Swedish (majority) senders. However, there is no evidence indicating that Arab senders would receive a lower penalty for revealing gayness. Implications for multiple categorization research are discussed.
Enabling Volumetric Flow Measurement in the Indus Basin Irrigation Scheme: Perceptions and Conflict Reduction
Authors: Ali Shah Muhammad Azeem , Bell Andrew Reid , Anwar Arif
Published: January 2022

Globally water use in agriculture is inefficient, with problems more pronounced in the global south. Pakistan's Indus Basin Irrigation System (IBIS) is a noteworthy case, withdrawing over 95% of the surface water resource. The Indus Basin Irrigation System (IBIS) is a vast gravity irrigation system with next to no volumetric measurement and low, area‐based water charges; the lack of flow information makes accountability difficult and reduces the marginal cost of water use to zero for farmers. The path toward a functional agricultural water system with volumetric fees and the potential for intra and inter‐sectoral trading begins with measurement, but this is a challenge for the IBIS, where tampering with equipment as well as fouling by sediment‐laden water are major impediments. We present results from a pilot study that overcomes this challenge, develops a reliable measurement program for the IBIS, and illustrates how information alone (let alone its application to governance and trade) can make a difference in system behavior. Importantly, the method of ultrasonic depth measurement used in our system performs well under flow conditions present at or above the canal outlet level, emphasizing the importance of water user associations at the watercourse scale as actors in IBIS‐level water governance.
ENSO Explains the Link Between Indian Ocean Dipole and Meridional Ocean Heat Transport
Authors: McMonigal K. , Larson Sarah M.
Published: January 2022

Indian Ocean meridional heat transport (MHTIO) drives climate and ecosystem impacts, through changes to ocean temperature. Improved understanding of natural variability in tropical and subtropical MHTIO is needed to contextualize observations and future projections. Previous studies suggest that El Niño‐Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) can drive variability in MHTIO. However, it is unclear whether internally generated IOD can drive variability in MHTIO, or if the apparent relationship between IOD and MHTIO arises because both are modulated by ENSO. Here, we use a model experiment which dynamically removes ENSO to determine the role of internally forced IOD on MHTIO. We find that IOD is not linked to anomalies in MHTIO. Nevertheless, internal atmospheric variability drives significant MHTIO variability. There is little evidence for decadal or multidecadal variability in MHTIO, suggesting this may be a region where an anthropogenic trend rises above the level of internal variability sooner.
Distinct Surface Warming Response Over the Western and Eastern Equatorial Pacific to Radiative Forcing
Authors: Park Chanyoung , Kang Sarah M. , Stuecker Malte F. , Jin Fei‐Fei
Published: January 2022

This study examines regional characteristics of atmospheric and oceanic feedback processes in the western and eastern equatorial Pacific, by applying a localized surface heating in the respective region in a hierarchy of climate models. A western Pacific forcing is largely offset by a negative shortwave cloud radiative effect and damping via wind‐evaporation‐SST feedback. In contrast, an eastern Pacific forcing, while being partially compensated for by ocean dynamical adjustments, induces an amplified warming extending to the central Pacific due to weak local damping mechanisms. As for the inter‐model spread of the future tropical Pacific surface warming pattern, the ocean heat uptake response in the east can explain much of the spread both on fast (<5 years) and slow (>100 years) timescales. Our results suggest that an “El Niño‐like” warming pattern is probable in response to increasing greenhouse gases owing to the strong negative feedback intrinsic to the western Pacific.
Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires
Authors: Bela M. M. , Kille N. , McKeen S. A. , Romero‐Alvarez J. , Ahmadov R. , James E. , Pereira G. , Schmidt C. , Pierce R. B. , O’Neill S. M. , Zhang X. , Kondragunta S. , Wiedinmyer C. , Volkamer R.
Published: January 2022

The University of Colorado Airborne Solar Occultation Flux (CU AirSOF) instrument conducted the first suborbital carbon monoxide (CO) mass flux measurements on the scale of large wildfires, showing that the destructive fires in northern California in October 2017 emitted 2,040 ± 316 tonnes CO hr−1. Pyrogenic estimates from seven satellite‐based emission inventories bracket the observed flux, but their range spans a factor of 83. The simulated air quality impacts in the form of ozone and fine particulate matter scale primarily with these uncertain emission amounts, and range from insignificant to very severe. This uncertainty in predicting emissions is reduced to a factor of ∼2 by the CU AirSOF flux measurements, with potential for future improvements. The uncertainty is primarily the result of uncertain vegetation types and sources of radiative power measurements, and to a lesser extent uncertain emission factors and fire diurnal cycles.
The Influence of Riparian Vegetation on the Sinuosity and Lateral Stability of Meandering Channels
Authors: Zhu Lekui , Chen Dong , Hassan Marwan A. , Venditti Jeremy G.
Published: January 2022

Floodplains of meandering rivers are colonized with various plant species that differ in how they stabilize streambanks, modulating sinuosity evolution. Here, we compile observations of meander migration from North and South America, categorizing channels based on the riparian vegetation as cropland, forest, grassland, and rainforest. Our analysis reveals that the most stable meanders are those developed in rainforests and the reason is likely related to their established root systems and clay‐rich soils. The most unstable meanders were found in cropland areas, which is explained by the lack of vegetation cover and the frequent land disturbances associated with cultivation. Rivers in grassland and North American forest environments have intermediate migration rates. We found that meanders in grasslands have lower migration rates than those in North American forests. The reason for this may lie in the fact that grassland meanders in general have higher sinuosity, lower gradients, and layered banks.
A Turbulent Heating Model Combining Diffusion and Advection Effects for Giant Planet Magnetospheres
Authors: Ng C. S. , Neupane B. R. , Delamere P. A. , Damiano P. A.
Published: January 2022

The temperatures of ions in the magnetospheres of Jupiter and Saturn were observed to increase substantially from about 10 to 30 planet radii. Different heating mechanisms have been proposed to explain such observations, including a heating model for Jupiter based on magnetohydrodynamic (MHD) turbulence with flux‐tube diffusion. More recently, an MHD turbulent heating model based on advection was shown to also explain the temperature increase at Jupiter and Saturn. We further develop this turbulent heating model by combining effects from both diffusion and advection. The combined model resolves the physical consistency requirement that diffusion should dominate over advection when the radial flow velocity is small and vice versa when it is large. Comparisons with observations show that previous agreements, using the advection only model, are still valid for larger radial distance. Moreover, the additional heating by diffusion results in a better agreement with the temperature observations for smaller radial distance.
Predicting Off‐Fault Deformation From Experimental Strike‐Slip Fault Images Using Convolutional Neural Networks
Authors: Chaipornkaew L. , Elston H. , Cooke M. , Mukerji T. , Graham S. A.
Published: January 2022

Crustal deformation occurs both as localized slip along faults and distributed deformation off of faults. While there are few robust estimates of off‐fault deformation in nature, scaled physical experiments simulating crustal strike‐slip faulting allow direct measurement of the ratio of fault slip to regional deformation, quantified as kinematic efficiency (KE). We offer an approach to predict KE using a 2D convolutional neural network (CNN) trained directly on fault maps produced by physical experiments. Experiments with different loading rates and basal boundary conditions generate the fault maps throughout the evolution of strike‐slip faults. Strain maps allow us to directly calculate KE and its uncertainty, utilized in the loss function and performance metric. The trained CNN achieves 91% custom accuracy in the KE prediction of an unseen data set. Although the CNN model is trained on scaled experiments, it can predict off‐fault deformation of crustal faults that matches available geologic estimates.
Upper Plate Structure and Megathrust Properties in the Shumagin Gap Near the July 2020 M7.8 Simeonof Event
Authors: Shillington Donna J. , Bécel Anne , Nedimović Mladen R.
Published: January 2022

Subduction zone architecture and properties are thought to control megathrust slip behavior, but few constraints on crustal structure and megathrust properties are available at sufficient resolution and depth, hindering understanding of linkages between structure and behavior. Here we present a P‐wave seismic velocity model based on wide‐angle seismic data integrated with collocated reflection imaging in the weakly coupled Shumagin Gap in the Alaska subduction zone, where a M7.8 occurred in July 2020. We show that this earthquake occurred near and below the Moho of the overriding plate where the megathrust is characterized by a 3‐ to 5‐km‐thick reflection band interpreted to represent tectonic mixing. The rheological heterogeneity of the plate boundary near and below the Moho could account for abundant interplate seismicity, repeated M7.x events, and patchiness of the 2020 rupture. Velocity variations in the overriding continental crust imply changes in rigidity that could further influence megathrust slip.
Laboratory Simulation of Solar Wind Interaction With Lunar Magnetic Anomalies
Authors: Yeo Li Hsia , Han Jia , Wang Xu , Werner Greg , Deca Jan , Munsat Tobin , Horányi Mihály
Published: January 2022

Magnetic anomalies on the surface of the Moon interact with the solar wind plasma flow, resulting in both magnetic and electrostatic deflection/reflection of charged particles. Consequently, surface charging in these regions differs from regions without magnetic fields. Using the Colorado Solar Wind Experiment facility, this interaction is investigated with high‐energy flowing plasmas (100–800 eV beam ions) that are incident upon a magnetic dipole embedded beneath an insulating surface. The dipole moment is perpendicular to the surface. The plasma potential distribution is measured above the surface using an emissive probe. In the dipole lobe regions the surface is charged to significantly higher positive potentials by the un‐magnetized ion beam impinging on the surface while the electrons remain excluded by the magnetic field. At low ion beam energies the results agree with these expectations as the surface potential follows the ion beam energy. However, at high beam energies, the surface potentials in the electron‐shielded lobe regions remain significantly lower than the expected magnitude. Surprisingly, electrons are detected in the shielded regions by a Langmuir probe. A test particle simulation indicates that secondary electrons induced by the high energy ion beams impinging on the surface can enter the shielded regions, thus lowering the surface potential.
Segmentation of Shallow Slow Slip Events at the Hikurangi Subduction Zone Explained by Along‐Strike Changes in Fault Geometry and Plate Convergence Rates
Authors: Perez‐Silva Andrea , Kaneko Yoshihiro , Savage Martha , Wallace Laura , Li Duo , Williams Charles
Published: January 2022

Over the last two decades, geodetic and seismic observations have revealed a spectrum of slow earthquakes along the Hikurangi subduction zone in New Zealand. Of those, shallow slow slip events (SSEs) that occur at depths of less than 15 km along the plate interface show a strong along‐strike segmentation in their recurrence intervals, which vary from ∼1 yr from offshore Tolaga Bay in the northeast to ∼5 yr offshore Cape Turnagain ∼300 km to the southwest. To understand the factors that control this segmentation, we conduct numerical simulations of SSEs incorporating laboratory‐derived rate‐and‐state friction laws with both planar and non‐planar fault geometries. We find that a relatively simple model assuming a realistic non‐planar fault geometry reproduces the characteristics of shallow SSEs as constrained by geodetic observations. Our preferred model captures the magnitudes and durations of SSEs, as well as the northward decrease of their recurrence intervals. Our results indicate that the segmentation of SSE recurrence intervals is favored by along‐strike changes in both the plate convergence rate and the downdip width of the SSE source region. Modeled SSEs with longer recurrence intervals concentrate in the southern part of the fault (offshore Cape Turnagain), where the plate convergence rate is lowest and the source region of SSEs is widest due to the shallower slab dip angle. Notably, the observed segmentation of shallow SSEs cannot be reproduced with a simple planar fault model, which indicates that a realistic plate interface is an important factor to account for in modeling SSEs.
Martian Dust Storms and Gravity Waves: Disentangling Water Transport to the Upper Atmosphere
Authors: Shaposhnikov Dmitry S. , Medvedev Alexander S. , Rodin Alexander V. , Yiğit Erdal , Hartogh Paul
Published: January 2022

Simulations with the Max Planck Institute Martian general circulation model for Martian years 28 and 34 reveal details of the water “pump” mechanism and the role of gravity wave (GW) forcing. Water is advected to the upper atmosphere mainly by upward branches of the meridional circulation: in low latitudes during equinoxes and over the south pole during solstices. Molecular diffusion plays little role in water transport in the middle atmosphere and across the mesopause. GWs modulate the circulation and temperature during global dust storms, thus changing the timing and intensity of the transport. At equinoxes, they facilitate water accumulation in the polar warming regions in the middle atmosphere followed by stronger upwelling over the equator. As equinoctial storms decay, GWs tend to accelerate the reduction of water in the thermosphere. GWs delay the onset of the transport during solstitial storms and change the globally averaged amount of water in the upper atmosphere by 10%–25%.
Identification of ∆9-tetrahydrocannabinol (THC) impairment using functional brain imaging
Authors: Gilman Jodi M. , Schmitt William A. , Potter Kevin , Kendzior Brian , Pachas Gladys N. , Hickey Sarah , Makary Meena , Huestis Marilyn A. , Evins A. Eden
Published: January 2022

The primary cannabinoid in cannabis, Δ9-tetrahydrocannabinol (THC), causes intoxication and impaired function, with implications for traffic, workplace, and other situational safety risks. There are currently no evidence-based methods to detect cannabis-impaired driving, and current field sobriety tests with gold-standard, drug recognition evaluations are resource-intensive and may be prone to bias. This study evaluated the capability of a simple, portable imaging method to accurately detect individuals with THC impairment. In this double-blind, randomized, cross-over study, 169 cannabis users, aged 18–55 years, underwent functional near-infrared spectroscopy (fNIRS) before and after receiving oral THC and placebo, at study visits one week apart. Impairment was defined by convergent classification by consensus clinical ratings and an algorithm based on post-dose tachycardia and self-rated “high.” Our primary outcome, prefrontal cortex (PFC) oxygenated hemoglobin concentration (HbO), was increased after THC only in participants operationalized as impaired, independent of THC dose. ML models using fNIRS time course features and connectivity matrices identified impairment with 76.4% accuracy, 69.8% positive predictive value (PPV), and 10% false-positive rate using convergent classification as ground truth, which exceeded Drug Recognition Evaluator-conducted expanded field sobriety examination (67.8% accuracy, 35.4% PPV, and 35.4% false-positive rate). These findings demonstrate that PFC response activation patterns and connectivity produce a neural signature of impairment, and that PFC signal, measured with fNIRS, can be used as a sole input to ML models to objectively determine impairment from THC intoxication at the individual level. Future work is warranted to determine the specificity of this classifier to acute THC impairment.

ClinicalTrials.gov Identifier: NCT03655717
The POU2F1-ALDOA axis promotes the proliferation and chemoresistance of colon cancer cells by enhancing glycolysis and the pentose phosphate pathway activity
Authors: Lin Jinguan , Xia Longzheng , Oyang Linda , Liang Jiaxin , Tan Shiming , Wu Nayiyuan , Yi Pin , Pan Qing , Rao Shan , Han Yaqian , Tang Yanyan , Su Min , Luo Xia , Yang Yiqing , Chen Xiaohui , Yang Lixia , Zhou Yujuan , Liao Qianjin
Published: January 2022

Cancer metabolic reprogramming enhances its malignant behaviors and drug resistance, which is regulated by POU domain transcription factors. This study explored the effect of POU domain class 2 transcription factor 1 (POU2F1) on metabolic reprogramming in colon cancer. The POU2F1 expression was analyzed in GEO dataset, TCGA cohorts and human colon cancer tissues by bioinformatics and immunohistochemistry. The effects of altered POU2F1 expression on proliferation, glucose metabolism and oxaliplatin sensitivity of colon cancer cells were tested. The impacts of POU2F1 on aldolase A (ALDOA) expression and malignant behaviors of colon cancer cells were examined. We found that up-regulated POU2F1 expression was associated with worse prognosis and oxaliplatin resistance in colon cancer. POU2F1 enhanced the proliferation, aerobic glycolysis and the pentose phosphate pathway (PPP) activity, but reduced oxidative stress and apoptosis in colon cancer cells, dependent on up-regulating ALDOA expression. Mechanistically, POU2F1 directly bound to the ALDOA promoter to enhance the ALDOA promoter activity in colon cancer cells. Moreover, activation of the POU2F1-ALDOA axis decreased the sensitivity to oxaliplatin in colon cancer cells. These data indicate that the POU2F1-ALDOA axis promotes the progression and oxaliplatin resistance by enhancing metabolic reprogramming in colon cancer. Our findings suggest that the POU2F1-ALDOA axis may be new therapeutic targets to overcome oxaliplatin resistance in colon cancer.
Forest tree growth is linked to mycorrhizal fungal composition and function across Europe
Authors: Anthony Mark A , Crowther Thomas W , van der Linde Sietse , Suz Laura M , Bidartondo Martin I , Cox Filipa , Schaub Marcus , Rautio Pasi , Ferretti Marco , Vesterdal Lars , De Vos Bruno , Dettwiler Mike , Eickenscheidt Nadine , Schmitz Andreas , Meesenburg Henning , Andreae Henning , Jacob Frank , Dietrich Hans-Peter , Waldner Peter , Gessler Arthur , Frey Beat , Schramm Oliver , van den Bulk Pim , Hensen Arjan , Averill Colin
Published: January 2022

Most trees form symbioses with ectomycorrhizal fungi (EMF) which influence access to growth-limiting soil resources. Mesocosm experiments repeatedly show that EMF species differentially affect plant development, yet whether these effects ripple up to influence the growth of entire forests remains unknown. Here we tested the effects of EMF composition and functional genes relative to variation in well-known drivers of tree growth by combining paired molecular EMF surveys with high-resolution forest inventory data across 15 European countries. We show that EMF composition was linked to a three-fold difference in tree growth rate even when controlling for the primary abiotic drivers of tree growth. Fast tree growth was associated with EMF communities harboring high inorganic but low organic nitrogen acquisition gene proportions and EMF which form contact versus medium-distance fringe exploration types. These findings suggest that EMF composition is a strong bio-indicator of underlying drivers of tree growth and/or that variation of forest EMF communities causes differences in tree growth. While it may be too early to assign causality or directionality, our study is one of the first to link fine-scale variation within a key component of the forest microbiome to ecosystem functioning at a continental scale.
Immunological causes of obsessive-compulsive disorder: is it time for the concept of an “autoimmune OCD” subtype?
Authors: Endres Dominique , Pollak Thomas A. , Bechter Karl , Denzel Dominik , Pitsch Karoline , Nickel Kathrin , Runge Kimon , Pankratz Benjamin , Klatzmann David , Tamouza Ryad , Mallet Luc , Leboyer Marion , Prüss Harald , Voderholzer Ulrich , Cunningham Janet L. ,   ECNP Network Immuno-NeuroPsychiatry, Domschke Katharina , Tebartz van Elst Ludger , Schiele Miriam A.
Published: January 2022

Obsessive-compulsive disorder (OCD) is a highly disabling mental illness that can be divided into frequent primary and rarer organic secondary forms. Its association with secondary autoimmune triggers was introduced through the discovery of Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal infection (PANDAS) and Pediatric Acute onset Neuropsychiatric Syndrome (PANS). Autoimmune encephalitis and systemic autoimmune diseases or other autoimmune brain diseases, such as multiple sclerosis, have also been reported to sometimes present with obsessive-compulsive symptoms (OCS). Subgroups of patients with OCD show elevated proinflammatory cytokines and autoantibodies against targets that include the basal ganglia. In this conceptual review paper, the clinical manifestations, pathophysiological considerations, diagnostic investigations, and treatment approaches of immune-related secondary OCD are summarized. The novel concept of “autoimmune OCD” is proposed for a small subgroup of OCD patients, and clinical signs based on the PANDAS/PANS criteria and from recent experience with autoimmune encephalitis and autoimmune psychosis are suggested. Red flag signs for “autoimmune OCD” could include (sub)acute onset, unusual age of onset, atypical presentation of OCS with neuropsychiatric features (e.g., disproportionate cognitive deficits) or accompanying neurological symptoms (e.g., movement disorders), autonomic dysfunction, treatment resistance, associations of symptom onset with infections such as group A streptococcus, comorbid autoimmune diseases or malignancies. Clinical investigations may also reveal alterations such as increased levels of anti-basal ganglia or dopamine receptor antibodies or inflammatory changes in the basal ganglia in neuroimaging. Based on these red flag signs, the criteria for a possible, probable, and definite autoimmune OCD subtype are proposed.
Whole blood transcriptional signatures associated with rapid antidepressant response to ketamine in patients with treatment resistant depression
Authors: Cathomas Flurin , Bevilacqua Laura , Ramakrishnan Aarthi , Kronman Hope , Costi Sara , Schneider Molly , Chan Kenny L. , Li Long , Nestler Eric J. , Shen Li , Charney Dennis S. , Russo Scott J. , Murrough James W.
Published: January 2022

Ketamine has rapid and sustained antidepressant effects in patients with treatment-resistant depression (TRD). However, the underlying mechanisms of action are not well understood. There is increasing evidence that TRD is associated with a pro-inflammatory state and that ketamine may inhibit inflammatory processes. We thus investigated whole blood transcriptional profiles related to TRD and gene expression changes associated with treatment response to ketamine. Whole blood was collected at baseline (21 healthy controls [HC], 26 patients with TRD) and then again in patients with TRD 24 hours following a single intravenous infusion of ketamine (0.5 mg/kg). We performed RNA-sequencing and analyzed (a) baseline transcriptional profiles between patients with TRD and HC, (b) responders vs. non-responders before ketamine treatment, and (c) gene expression signatures associated with clinical improvement. At baseline, patients with TRD compared to HC showed a gene expression signature indicative of interferon signaling pathway activation. Prior to ketamine administration, the metabotropic glutamate receptor gene GRM2 and the ionotropic glutamate receptor gene GRIN2D were upregulated in responders compared to non-responders. Response to ketamine was associated with a distinct transcriptional signature, however, we did not observe gene expression changes indicative of an anti-inflammatory effect. Future studies are needed to determine the role of the peripheral immune system in the antidepressant effect of ketamine.
mGluR5 binding changes during a mismatch negativity task in a multimodal protocol with [11C]ABP688 PET/MR-EEG
Authors: Régio Brambilla Cláudia , Veselinović Tanja , Rajkumar Ravichandran , Mauler Jörg , Matusch Andreas , Ruch Andrej , Orth Linda , Ramkiran Shukti , Sbaihat Hasan , Kaulen Nicolas , Khudeish Nibal Yahya , Wyss Christine , Heekeren Karsten , Kawohl Wolfram , Rota Kops Elena , Tellmann Lutz , Scheins Jürgen , Boers Frank , Neumaier Bernd , Ermert Johannes , Lang Markus , Stüsgen Stefan , Herzog Hans , Langen Karl-Josef , Shah N. Jon , Lerche Christoph W. , Neuner Irene
Published: January 2022

Currently, the metabotropic glutamate receptor 5 (mGluR5) is the subject of several lines of research in the context of neurology and is of high interest as a target for positron-emission tomography (PET). Here, we assessed the feasibility of using [11C]ABP688, a specific antagonist radiotracer for an allosteric site on the mGluR5, to evaluate changes in glutamatergic neurotransmission through a mismatch-negativity (MMN) task as a part of a simultaneous and synchronized multimodal PET/MR-EEG study. We analyzed the effect of MMN by comparing the changes in nondisplaceable binding potential (BPND) prior to (baseline) and during the task in 17 healthy subjects by applying a bolus/infusion protocol. Anatomical and functional regions were analyzed. A small change in BPND was observed in anatomical regions (posterior cingulate cortex and thalamus) and in a functional network (precuneus) after the start of the task. The effect size was quantified using Kendall’s W value and was 0.3. The motor cortex was used as a control region for the task and did not show any significant BPND changes. There was a significant ΔBPND between acquisition conditions. On average, the reductions in binding across the regions were - 8.6 ± 3.2% in anatomical and - 6.4 ± 0.5% in the functional network (p ≤ 0.001). Correlations between ΔBPND and EEG latency for both anatomical (p = 0.008) and functional (p = 0.022) regions were found. Exploratory analyses suggest that the MMN task played a role in the glutamatergic neurotransmission, and mGluR5 may be indirectly modulated by these changes.
The effects of lisdexamfetamine dimesylate on eating behaviour and homeostatic, reward and cognitive processes in women with binge-eating symptoms: an experimental medicine study
Authors: Schneider Elizabeth , Martin Elizabeth , Rotshtein Pia , Qureshi Kasim L. , Chamberlain Samuel R. , Spetter Maartje S. , Dourish Colin T. , Higgs Suzanne
Published: January 2022

Lisdexamfetamine dimesylate (LDX) is the only drug currently approved by the FDA for the treatment of Binge-Eating Disorder (BED), but little is known about the behavioural mechanisms that underpin the efficacy of LDX in treating BED. We examined the behavioural and neural effects of an acute dose of LDX (50 mg) in 22 women with binge-eating symptomatology using a randomised, crossover, double-blind, placebo-controlled experimental medicine design. LDX reduced self-reported appetite ratings and intake of both a pasta meal and a palatable cookie snack. LDX also decreased the eating rate of pasta but not of cookies and reduced self-reported liking ratings for pasta at the end of the meal. When viewing food pictures during an fMRI scan, LDX reduced activity bilaterally in the thalamus. LDX enhanced sustained attention and reduced impulsive responding in a continuous performance task but had no effect on emotional bias or working memory. These results suggest the observed effects of LDX on food intake (and by implication the efficacy of LDX in treating BED) may be related to the actions of the drug to enhance satiety, reduce food-related reward responding when full and/or increase cognitive control. Novel pharmacotherapies for BED might be most effective if they have a broad spectrum of effects on appetite, reward and cognition.