bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-resolution tropical rain-forest canopy climate data
Authors: Berdugo Monica B. , Heyer Leander , Suarez Contento Karen Yuliana , Déleg Jorge , Bendix Jörg , Bader Maaike Y. 
Published: October 2022

Abstract
Canopy habitats challenge researchers with their intrinsically difficult access. The current scarcity of climatic data from forest canopies limits our understanding of the conditions and environmental variability of these diverse and dynamic habitats. We present 307 days of climate records collected between 2019 and 2020 in the tropical rainforest canopy of the Yasuní National Park, Ecuador. We monitored climate with a 10-min temporal resolution in the middle crowns of eight canopy trees. The distance between canopy climate stations ranged from 700 m to 10 km. Apart from air temperature, relative humidity, leaf wetness, and photosynthetically active radiation (PAR), measured in each canopy climate station, global radiation, rainfall, and wind speed were measured in different subsets of them. We processed the eight data series to omit erroneous records resulting from sensor failures or lack of the solar-based power supply. In addition to the eight original data series, we present three derived data series, two aggregating canopy climate for valleys or for ridges (from four stations each), and one overall average (from the eight stations). This last derived data series contains 306 days, while the shortest of the original data series covers 22 days and the longest 296 days. In addition to the data, two open-source tools, developed in RStudio, are presented that facilitate data visualization (a dashboard) and data exploration (a filtering app) of the original and aggregated records.
Music as Therapy for the ‘exceptionally wealthy’ at the Nineteenth-Century Ticehurst Asylum
Authors: Golding Rosemary 
Published: October 2022

AbstractMusic was widely used within lunatic asylums in nineteenth-century England as part of the ‘moral management’ of patients via entertainment and occupation. The asylum at Ticehurst stood apart on account of its patient body, drawn from the upper classes of society. Documents relating to music at Ticehurst shed new light on the place of music within mental health treatment in the nineteenth century, and particularly on the perceived role of music in understanding the function of the brain in listening, emotions and the intellect. The main body of the article draws on the Ticehurst archives together with patient accounts of their musical experiences to investigate the ways in which music was used at the asylum. The final part takes as its focus an article published by the asylum’s manager and medical officer, Herbert Hayes Newington, in which the appreciation of music by patients comes under scrutiny.
PEAD.txt: Post-Earnings-Announcement Drift Using Text
Authors: Meursault Vitaly , Liang Pierre Jinghong , Routledge Bryan R. , Scanlon Madeline Marco 
Published: October 2022

AbstractWe construct a new numerical measure of earnings announcement surprises, standardized unexpected earnings call text (SUE.txt), that does not explicitly incorporate the reported earnings value. SUE.txt generates a text-based post-earnings-announcement drift (PEAD.txt) larger than the classic PEAD. The magnitude of PEAD.txt is considerable even in recent years when the classic PEAD is close to 0. We explore our text-based empirical model to show that the calls’ news content is about details behind the earnings number and the fundamentals of the firm.
Variability ofCalodium hepaticumeggs from sigmodontine host species through geometric morphometric analysis
Authors: Fantozzi M.C. , Reguera-Gomez M. , Beldomenico P.M. , Mas-Coma S. , Bargues M.D. , Valero M.A. 
Published: October 2022

AbstractCalodium hepaticumis a zoonotic nematode with a worldwide distribution. Although the host range ofC. hepaticumincludes a wide spectrum of mammals (including humans), this parasite is predominantly associated with the families Muridae and Cricetidae. Several Sigmodontinae species from Argentina were found to be infected byC. hepaticum, with a high prevalence inAkodon azarae. The present study focuses onC. hepaticumeggs from natural infection of three species of sigmodontine rodents from Argentina. Eggs were genetically characterized (intergenic 18S rRNA region). The objectives of this work are: (i) to propose a new analytical methodology; and (ii) to morphologically characterizeC. hepaticumeggs, from three Sigmodontinae species (A. azarae,Calomys callidusandOligoryzomys flavescens). Analyses were made by the Computer Image Analysis System based on the new standardized measurements and geometric morphometric tools. The resulting factor maps clearly illustrate global size differences in the parasite eggs from the three Sigmodontinae species analysed. The degree of similarity between egg populations was assessed through pairwise Mahalanobis distances, showing that the largest distances were detected between parasite eggs fromC. callidusandO. flavescens. Herein, the phenotypical plasticity ofC. hepaticumeggs is shown. Significant positive correlations were obtained between each egg parasite principal component 1 and rodent corporal characteristics: weight; liver weight; rodent length; and rodent body condition. The usefulness of the geometric morphometric analysis in studies of the relationship betweenC. hepaticumand its host must be highlighted. The high prevalence observed inA. azarae, associated with the wide size range of the parasite eggs evidenced by principal component analysis, suggestsA. azaraeto be the Sigmodontinae host species that plays the most important role as reservoir host forC. hepaticumin the New World.
A robust and efficient wall parameter estimation approach for through wall radar
Authors: Singh Akhilendra Pratap 
Published: October 2022

AbstractIn through-wall radar system, the wall parameters, including permittivity, and wall thickness are of crucial importance for locating targets precisely. Recently, to obtain a quick and accurate estimation of wall parameters, an approach based on machine learning was introduced. However, these approaches are less reliable as only simulations results are presented. One of the major concerns with machine learning-based approaches is the generation of training and testing data which require fabrication of wall with different permittivity, thickness, and conductivity. Creating walls with different permittivity, thickness, and conductivity can really be challenging and expensive. Therefore, an effort has been made in this paper to establish a cost-effective and robust machine learning-based wall parameter estimation process with the usage of transmission line method and artificial neural network. The implementation and efficacy of proposed approach have been demonstrated through simulation and experimental results. The proposed approach quickly and accurately predicted the wall relative permittivity and thickness of real building wall. The merit of proposed approach is that it is less complex and computational efficient as it can extract wall parameters from only one measurement and therefore can be used in conjunction with any commercial through-wall radar systems.
Risk of somatic diseases in patients with eating disorders: the role of comorbid substance use disorders
Authors: Mellentin A. I. , Nielsen D. G. , Skøt L. , Støving R. K. , Guala M. M. , Nielsen A. S. , Wesselhoeft R. , Mejldal A. 
Published: October 2022

AbstractAimsEating disorders (EDs) and substance use disorders (SUDs) often co-occur, and both involve somatic diseases. So far, no study has considered whether comorbid SUDs may impact somatic disease risk in patients with EDs. Therefore, this study aimed to examine the impact of comorbid SUDs on the risk of 11 somatic disease categories in patients with anorexia nervosa (AN), bulimia nervosa (BN) and unspecified eating disorder (USED) compared to matched controls.MethodsA retrospective cohort study was conducted using Danish nationwide registries. The study population included 20 759 patients with EDs and 83 036 controls matched on month and year of birth, sex and ethnicity. Hazard ratios (HRs) were calculated to compare the risk of being diagnosed with a somatic disease (within 11 categories defined by the ICD-10) following first ED diagnosis (index date) between ED patients and controls both with and without SUDs (alcohol, cannabis or hard drugs).ResultsThe ED cohort and matched controls were followed for 227 538 and 939 628 person-years, respectively. For ED patients with SUDs, the risk pattern for being diagnosed with different somatic diseases (relative to controls without SUDs) varied according to type of ED and SUD [adjusted HRs ranged from 0.95 (99% CI = 0.57; 1.59) to 4.17 (2.68, 6.47)]. The risk estimates observed among ED patients with SUDs were generally higher than those observed among ED patients without SUDs [adjusted HRs ranged from 1.08 (99% CI = 0.95, 1.22) to 2.56 (2.31, 2.84)]. Abuse of alcohol only had a non-synergistic effect on six disease categories in AN patients and five in BN and USED patients. Abuse of cannabis (with/without alcohol) had a non-synergistic effect on five disease categories in AN and BN patients and two in USED patients. Abuse of hard drugs (with/without alcohol or cannabis) had a non-synergistic effect on nine disease categories in AN patients, eight in BN patients and seven in USED patients.ConclusionsThe present study documents non-synergistic but not synergistic harmful somatic consequences of SUDs among patients with different EDs, with AN and hard drugs being the most predominant factors. Hence, EDs and SUDs did not interact and result in greater somatic disease risk than that caused by the independent effects. Since EDs and SUDs have independent effects on many somatic diseases, it is important to monitor and treat ED patients for SUD comorbidity to prevent exacerbated physical damage in this vulnerable population.
Prevalence of anxiety and depression in people with different types of cancer or haematologic malignancies: a cross-sectional study
Authors: Zeilinger E. L. , Oppenauer C. , Knefel M. , Kantor V. , Schneckenreiter C. , Lubowitzki S. , Krammer K. , Popinger C. , Kitta A. , Kum L. , Adamidis F. , Unseld M. , Masel E. K. , Füreder T. , Zöchbauer-Müller S. , Bartsch R. , Raderer M. , Prager G. , Krauth M. T. , Sperr W. R. , Porpaczy E. , Staber P. B. , Valent P. , Gaiger A. 
Published: October 2022

Abstract

Aims
Cancer patients often present with psychological symptoms that affect their quality of life, physical health outcomes and survival. Two of the most frequent psychiatric comorbidities are anxiety and depression. However, the prevalence of these disorders among cancer patients remains unclear, as studies frequently report varying rates. In the present study, we aimed to provide robust point estimates for the prevalence of anxiety and depression for both a mixed cancer sample and for 13 cancer types separately, considering confounding variables.

Methods
In a sample of 7509 cancer outpatients (51.4% female), we used the Hospital Anxiety and Depression Scale to assess rates of anxiety and depression. Applying ordinal logistic regression models, we compared the prevalence of anxiety and depression between different cancer types, controlling for age and gender.

Results
About one third of our sample showed symptoms of anxiety (35.2%) or depression (27.9%), and every sixth patient had a very likely psychiatric condition, with women being more frequently affected. Elderly patients more often showed signs of depression. The prevalence of anxiety and depression was significantly higher in lung and brain cancer patients, than in other cancer patients. Lowest depression rates were found in breast cancer patients.

Conclusions
The prevalence of anxiety and depression is high in cancer patients. Type of cancer is an important predictor for anxiety and depressive symptoms, with lung and brain cancer patients being highly burdened. Considering a personalised medicine approach, physicians should take into account the high prevalence of psychiatric comorbidities and include psychiatric consultations in the treatment plan.
Spatiotemporal Analysis of Extreme Temperature Change on the Tibetan Plateau Based On Quantile Regression
Authors: Yao Ling , Lu Jiaying , Zhang Wenjie , Qin Jun , Zhou Chenghu , Tran Ngoc Nguyen , Pinagé Ekena Rangel 
Published: October 2022

AbstractTemperature extremes have been extensively observed on the Tibetan Plateau (TP), of which the dynamics were mostly monitored by traditional trend analysis based on linear regression. This method however, is often impacted by a quasi‐periodic heterogeneity disturbance in variance, leading to results susceptible to extreme outliers. In this study, we conducted the comprehensive detection of extreme temperature changes using quantile regression on the TP from 100 weather stations from 1979 to 2019. The use of quantile regression enabled us to characterize the entire density function of the extreme temperature time‐series (the daily minimum, mean and maximum temperature) at each location. Our results revealed that the daily minimum temperature was generally warming faster than the daily maximum and mean temperatures with the respective trend interval of [−0.45, 1.29], [−0.1, 0.98], [−0.01, 1.01] °C/decade among the conditional quantile levels. Furthermore, the warming rate of extremely cold (0.05 quantile level) and hot days (0.95 quantile level) was higher than that of the mean condition (0.5 quantile level) in each extreme temperature time‐series. We also found that there was a significant elevation‐dependent warming only in extremely cold days. In addition, results from the teleconnection analysis showed that the Arctic Oscillation had a strong influence on the extreme cold and hot extremes over the northern and southwestern TP region, while the El Niño‐Southern Oscillation mainly modulated temperatures over the southeastern TP area. This study can potentially offer improved understanding of the temperature extremes over TP in the face of global warming.
Hydrothermal Ore Deposits Record the Oxygen Isotope Composition of Meteoric Paleo‐Waters in the San Juan Volcanic Field, Colorado, USA
Authors: Johnson Benjamin W. , Wing Boswell A. , Abbott Lon 
Published: October 2022

AbstractThe stable isotope ratios of meteoric waters change predictably over orographic barriers. We present a new approach to determine stable isotope ratios in ancient meteoric waters from spatial patterns of hydrothermal alteration in continental volcanic fields. In the San Juan Volcanic Field, Colorado, USA we reconstruct water δ18O values feeding hydrothermal systems of −7 to −10‰ from 35 to 20 Ma, followed by a drop to −17 to −18‰ between 20 and 12 Ma. This drop is consistent with greater magmatic water input to older hydrothermal systems, ∼1 km of rock exhumation, ∼2–3 km of surface uplift, or a combination of all three. Our approach returns water isotope compositions integrated over spatial (kms to 10s kms) and temporal (104 − 107 years) scales of continental hydrothermal systems. Such length‐ and time‐scales approach those of continental tectonics, potentially alleviating issues with diagenetic space and time limitations associated with other paleo‐meteoric water proxies.
Oscillations of the Ionosphere Caused by the 2022 Tonga Volcanic Eruption Observed With SuperDARN Radars
Authors: Zhang Jiaojiao , Xu Jiyao , Wang Wei , Wang Guojun , Ruohoniemi J. Michael , Shinbori Atsuki , Nishitani Nozomu , Wang Chi , Deng Xiang , Lan Ailan , Yan Jingye 
Published: October 2022

AbstractOn 15 January 2022, the submarine volcano on the southwest Pacific island of Tonga violently erupted. Thus far, the ionospheric oscillation features caused by the volcanic eruption have not been identified. Here, observations from the Super Dual Auroral Radar Network radars and digisondes were employed to analyze ionospheric oscillations in the Northern Hemisphere caused by the volcanic eruption in Tonga. Due to the magnetic field conjugate effect, the ionospheric oscillations were observed much earlier than the arrival of surface air pressure waves, and the maximum negative line‐of‐sight (LOS) velocity of the ionospheric oscillations exceeded 100 m/s in the F layer. After the surface air pressure waves arrived, the maximum LOS velocity in the E layer approached 150 m/s. A maximum upward displacement of 100 km was observed in the ionosphere. This work provides a new perspective for understanding the strong ionospheric oscillation caused by geological hazards observed on Earth.
Nitrous Oxide Consumption in Oxygenated and Anoxic Estuarine Waters
Authors: Tang Weiyi , Jayakumar Amal , Sun Xin , Tracey John C. , Carroll Julia , Wallace Elizabeth , Lee Jenna A. , Nathan Levy , Ward Bess 
Published: October 2022

AbstractEstuaries emit a large but highly uncertain amount of Nitrous oxide (N2O) into the atmosphere. To better understand N2O cycling processes in estuaries, we provide the first direct observations of N2O consumption in the seasonally anoxic Chesapeake Bay, the largest estuary in the United States. N2O consumption rates in anoxic waters reached up to 3.3 nmol L−1 d−1 but were generally undetectable in oxygenated waters. However, N2O consumption rates were substantially enhanced when the oxygen concentration was experimentally decreased in initially oxygenated samples, indicating the potential of N2O consumption in oxygenated environments, for example, surface waters. These potential N2O consumption rates followed Michaelis‐Menten kinetics as a function of increasing N2O substrate concentration. N2O‐consuming microbes that predominantly contained the clade II nitrous oxide reductase gene were detected throughout the water column. These new observations of environmental controls on N2O consumption will benefit the modeling of N2O cycling and help to constrain the estuarine N2O flux.
Physical Properties of the Crust Influence Aftershock Locations
Authors: Hardebeck Jeanne L. 
Published: October 2022

AbstractAftershocks do not uniformly surround a mainshock, and instead occur in spatial clusters. Spatially variable physical properties of the crust may influence the spatial distribution of aftershocks. I study four aftershock sequences in Southern California (1992 Landers, 1999 Hector Mine, 2010 El Mayor—Cucapah, and 2019 Ridgecrest) to investigate which physical properties are spatially correlated with aftershock occurrence. I find that aftershocks correlate with several properties, including measures of stress and stress change from the mainshock, fault structure, kinematics, seismic velocity, and heat flow. Aftershock spatial density exhibits an order of magnitude or more variation as a function of these properties. I determine simple empirical relations between each of the properties and the aftershock spatial density, and use these relations to construct new spatial models that describe aftershock locations. The new spatial models are a significant improvement over a simple base model, but do not fully capture the dense spatial clustering of aftershocks. Numerous spatially varying physical properties exhibit no (or poor) correlation with aftershock spatial density, including temperature, rock composition, and rheological properties that might be expected to control aftershock occurrence. These results suggest that while spatially variable physical properties appear to influence aftershock locations, more work is necessary in order to establish the connections between aftershock occurrence and the causative physical properties.
Therapeutic strategy targeting host lipolysis limits infection by SARS-CoV-2 and influenza A virus
Authors: Baek Yeong-Bin , Kwon Hyung-Jun , Sharif Muhammad , Lim Jeongah , Lee In-Chul , Ryu Young Bae , Lee Jae-In , Kim Ji-Sun , Lee Young-Seung , Kim Dong-Hoon , Park Sang-Ik , Kim Don-Kyu , Kim Jeong-Sun , Choy Hyon E. , Lee Sunwoo , Choi Hueng-Sik , Osborne Timothy F. , Jeon Tae-Il , Cho Kyoung-Oh 
Published: October 2022

AbstractThe biosynthesis of host lipids and/or lipid droplets (LDs) has been studied extensively as a putative therapeutic target in diverse viral infections. However, directly targeting the LD lipolytic catabolism in virus-infected cells has not been widely investigated. Here, we show the linkage of the LD-associated lipase activation to the breakdown of LDs for the generation of free fatty acids (FFAs) at the late stage of diverse RNA viral infections, which represents a broad-spectrum antiviral target. Dysfunction of membrane transporter systems due to virus-induced cell injury results in intracellular malnutrition at the late stage of infection, thereby making the virus more dependent on the FFAs generated from LD storage for viral morphogenesis and as a source of energy. The replication of SARS-CoV-2 and influenza A virus (IAV), which is suppressed by the treatment with LD-associated lipases inhibitors, is rescued by supplementation with FFAs. The administration of lipase inhibitors, either individually or in a combination with virus-targeting drugs, protects mice from lethal IAV infection and mitigates severe lung lesions in SARS-CoV-2-infected hamsters. Moreover, the lipase inhibitors significantly reduce proinflammatory cytokine levels in the lungs of SARS-CoV-2- and IAV-challenged animals, a cause of a cytokine storm important for the critical infection or mortality of COVID-19 and IAV patients. In conclusion, the results reveal that lipase-mediated intracellular LD lipolysis is commonly exploited to facilitate RNA virus replication and furthermore suggest that pharmacological inhibitors of LD-associated lipases could be used to curb current COVID-19- and future pandemic outbreaks of potentially troublesome RNA virus infection in humans.
Hidden pressurized fluids prior to the 2014 phreatic eruption at Mt Ontake
Authors: Caudron Corentin , Aoki Yosuke , Lecocq Thomas , De Plaen Raphael , Soubestre Jean , Mordret Aurelien , Seydoux Leonard , Terakawa Toshiko 
Published: October 2022

AbstractA large fraction of volcanic eruptions does not expel magma at the surface. Such an eruption occurred at Mt Ontake in 2014, claiming the life of at least 58 hikers in what became the worst volcanic disaster in Japan in almost a century. Tens of scientific studies attempted to identify a precursor and to unravel the processes at work but overall remain inconclusive. By taking advantage of continuous seismic recordings, we uncover an intriguing sequence of correlated seismic velocity and volumetric strain changes starting 5 months before the eruption; a period previously considered as completely quiescent. We use various novel approaches such as covariance matrix eigenvalues distribution, cutting-edge deep-learning models, and ascribe such velocity pattern as reflecting critically stressed conditions in the upper portions of the volcano. These, in turn, later triggered detectable deformation and earthquakes. Our results shed light onto previously undetected pressurized fluids using stations located above the volcano-hydrothermal system and hold great potential for monitoring.