bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patients’ and therapists’ experiences of CBT videoconferencing in anxiety disorders
Authors: Song Li-Ling , Foster Chloe 
Published: March 2022

Abstract
Cognitive behavioural therapy (CBT) videoconferencing has been demonstrated to be an effective treatment for anxiety disorders and an equal alternative to face-to-face CBT. However, qualitative patient and therapist experiences of CBT videoconferencing have been less researched. Due to COVID-19, mental health services have shifted to remote therapy methods; thus, understanding patient and therapist experiences are crucial to better inform service policies and best practices. The current study focused on patient and therapist experiences of CBT videoconferencing at the Centre for Anxiety Disorders and Trauma (CADAT). Researchers used qualitative content analysis to explore patients’ (n = 54) and therapists’ (n = 15) responses to an online survey. Results yielded four themes: behavioural experiments work well if the problem lends itself to videoconferencing, overall practicalities but some home environment implications, privacy and technical issues, high telepresence and the negative impact on the therapeutic alliance, and COVID-19 influences attitude positively. The findings have clinical implications for CBT videoconferencing, including a need for specific training in assessment and intervention for therapists using videoconferencing.

Key learning aims
Readers of this paper will be able to:

(1)
Describe patient and therapist qualitative experiences of CBT videoconferencing.

(2)
Identify areas to consider when delivering CBT videoconferencing in anxiety disorders.

(3)
Understand therapist training needs for CBT videoconferencing in anxiety disorders.

(4)
Inform own service protocols and best practices for the delivery of CBT videoconferencing.
Utility of isoxaflutole-based herbicide programs in HPPD-tolerant cotton production systems
Authors: Farr Rodger , Norsworthy Jason K. , Barber L. Tom , Butts Thomas R. , Roberts Trent 
Published: March 2022

AbstractPalmer amaranth has developed resistance to at least seven herbicide sites of action in the Cotton Belt of the United States, leaving producers with fewer options to manage this weed. Previous research with corn and newly commercially released soybean systems have found the use of 4-hydroxyphenylpyruvate dioxygenase (HPPD)-inhibiting herbicides such as isoxaflutole (IFT) to be effective at managing Palmer amaranth. Consequently, a new transgenic cultivar of cotton is being developed with tolerance to IFT, allowing for in-crop applications of the herbicide. Two separate studies were conducted near Marianna, AR, in 2019 and replicated in 2020, to investigate the crop safety and utility of IFT when added to cotton herbicide programs. Herbicide programs featured IFT as a preemergence or early-postemergence option, residual herbicides in subsequent postemergence applications, and the presence or absence of a layby application. The use of IFT did not significantly impact cotton injury or yield, whereas the use of layered residual herbicides, including IFT, increased Palmer amaranth control compared to those without. Regardless of earlier use of IFT, layby applications were needed for season-long control of Palmer amaranth, entireleaf morningglory, broadleaf signalgrass, and johnsongrass, as evidenced by greater than a 20 percentage point improvement in control of all weeds when a layby application was made. Overall, findings from these studies indicate IFT to be a suitable tool for managing Palmer amaranth and will provide an additional site of action for cotton herbicide programs. Sequential herbicide applications and overlaying residuals were found to be paramount for managing Palmer amaranth throughout the season.
Integrated use of the stale seedbed technique with preemergence herbicides to control weedy rice in wet seeded rice
Authors: Dilipkumar Masilamany , Mohamad-Ghazali Mohd Shahril Shah , Shari Erwan Shah , Lee Chuen Ng , Chauhan Bhagirath Singh , Chuah Tse Seng 
Published: March 2022

AbstractThis study was undertaken to investigate the integration effects of pretilachlor, oxadiazon, and dimethenamid with or without glyphosate in a stale seedbed method to control weedy rice in wet-seeded rice. The study, conducted in 2018 and 2019, comprised two seedbed treatments in main plots, with and without glyphosate (850 g ae ha−1), and four subplot treatments: pretilachlor, oxadiazon, dimethenamid, and unsprayed check. Fifteen days after glyphosate spray, each subplot was treated with preemergence herbicides at 500 g ai ha−1 under standing water conditions (2 to 3 in.), and the water level was maintained for 7 d. Pregerminated rice seeds (var. MR297) were hand-broadcasted in the moist soil at 120 kg ha−1 seeding rate. In 2019, the density and dry weight of weedy rice were 30% and 118% higher Gthan those observed in 2018, respectively. A stale seedbed with glyphosate reduced weedy rice dry weight by 12% as compared to what was observed in a stale seedbed without glyphosate. Addition of oxadiazon and pretilachlor to the stale seedbed drastically reduced weedy rice dry weight by 70% to 88% and 53% to 60% in both years. Dimethenamid contributed to a significant reduction of weedy rice dry weight of 19% in 2019 only but failed to provide a positive economic return. Integration of pretilachlor and oxadiazon in a stale seedbed with glyphosate gave profitable returns of $84.00 to 311.4 ha−1 and $175.70 to 483.8 ha−1, respectively. Without the presence of glyphosate, pretilachlor and oxadiazon contributed a positive return of $318.90 and $469.40, respectively, in 2018, but the economic returns were negative in 2019. These results suggest that integration of pretilachlor or oxadiazon in a stale seedbed with glyphosate is more crucial when weedy rice infestation is high, but glyphosate can be excluded from the management regime when the weedy rice populations are low.
Evaluation of High Cloud Product of ECMWF Over South China Sea Using CALIOP
Authors: Lu Wenqiang , Yang Shizhi , Zhu Wenyue , Li Xuebin , Cui Shengcheng , Luo Tao , Han Lu , Shi Jianjun 
Published: March 2022

AbstractHigh clouds are globally widespread and are crucially important to global radiative processes and to the thermal balance of the Earth. Active remote sensing measurements can provide more reliable detection of optically thin cirrus clouds than passive remote sensing. The reanalysis datasets from European Centre for Medium‐Range Weather Forecasts (ECMWF) have a variety of applications in different branches of atmospheric science. A careful evaluation of these datasets is a prerequisite for their successful use. In this paper, the high cloud product from ECMWF is compared with Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) observations over the South China Sea from December 2006 to February 2019. The annual average of high cloud amount is analyzed and compared between CALIOP and ECMWF day and night, and the monthly comparison is also conducted. The results show that the distributions of high cloudiness in CALIOP and ECMWF are in fairly good agreement over the study area both day and night. The correlation coefficient between the two products is 0.79 during daytime, 0.75 nighttime. 50.8% of high cloud amount from ECMWF is 8.8% lower than 59.6% from CALIOP during daytime. A larger difference of 16.2% occurred at night with 53.9% from ECMWF, and 70.1% from CALIOP. Quantitative analysis of subvisible cirrus clouds (SVC, optical depth <0.03) is given. The results show that the discrepancies between the two data sets are reduced to 2.3% during daytime, and 5.2% at nighttime after screening out SVC. The correlation coefficients also rise to 0.82 both daytime and nighttime. The distribution and occurrence of SVC are presented over the study area.
Local Insolation Drives Afro‐Asian Monsoon at Orbital‐Scale in Holocene
Authors: Wen Qin , Liu Zhengyu , Zhu Jiang , Yan Mi , He Chengfei , Han Jing , Liu Jian , Liang Yishuang 
Published: March 2022

AbstractInsolation changes play an important role in driving monsoon changes at orbital time scales. One key issue that has remained outstanding is whether the Asian monsoon is driven by local insolation from the Northern Hemisphere (NH) or remote insolation from the Southern Hemisphere (SH) at orbital band. Here, we perform a set of sensitivity experiments to quantify the impacts of local and remote insolation changes on the Afro‐Asian summer monsoon at 11 ka BP relative to the present. We show that the Afro‐Asian summer monsoon is overwhelmingly driven by the precession induced local insolation change in the tropical‐subtropical NH. The insolation from NH high latitudes also affects the Afro‐Asian summer monsoon. In contrast, the insolation from SH plays a negligible role. Our model experiments support the idea that the Afro‐Asian summer monsoon are driven predominantly by the direct forcing of NH low latitudes summer insolation for the Holocene.
Association Between Extreme Atmospheric Anomalies Over Antarctic Sea Ice, Southern Ocean Polar Cyclones and Atmospheric Rivers
Authors: Hepworth Ehlke , Messori Gabriele , Vichi Marcello 
Published: March 2022

AbstractThis study analyses the association of Southern Ocean extratropical cyclones and atmospheric rivers (ARs) with extreme temperature and/or moisture atmospheric anomalies over Antarctic sea ice. The hypothesis we test is whether the circulations associated with cyclones and ARs may routinely lead to the presence of unusually warm, moist air masses over ice‐covered regions. The analysis is conducted over the extended Austral winter seasons (May‐September) between May 1979 and September 2012, based on the European Centre for Medium‐Range Weather Forecasts Interim reanalysis data. Approximately 27% of intense Southern Ocean cyclones and 20% of ARs occur in the vicinity of extreme temperature anomalies, while 12% of intense cyclones and 46% of ARs occur in the vicinity of extreme moisture anomalies. We summarize our results as follows: (a) extreme atmospheric anomalies over sea ice often occur in the absence of cyclones or ARs; (b) intense cyclones have a stronger association with extreme temperature anomalies than ARs; (c) approximately half of the ARs are in the vicinity of extreme moisture anomalies, while the latter's link with cyclones is weak; and (d) if an AR is in the vicinity of an extreme temperature anomaly, there will likely be a concurrent extreme moisture anomaly. This points to a strong association between ARs and moisture extremes, and a nuanced link between Southern Ocean polar cyclones and atmospheric anomalies over Antarctic sea ice.
Information, Experience, and Willingness to Mitigate Mental Health Consequences From Flooding Through Collective Defence
Authors: Foudi Sébastien , Osés‐Eraso Nuria 
Published: March 2022

AbstractDemand for reducing mental health impacts from flooding through collective flood defence is elicited using a contingent valuation method with a sequential hypothetical scenario, which accounts for human resilience and experience. A two‐step model fits the survey data: it combines a binary sample selection rule to distinguish protesters and participants with a Tobit model to accommodate true zero responses among participants. Results show that non‐symptoms‐specific information on mental health risk may bias the willingness to pay downward. Risk‐averse individuals who have taken self‐insurance protection measures are willing to pay for additional protection through collective defence. Feelings, such as worries and anxiety related to flooding, drive the demand, which supports the risk‐as‐feelings hypothesis for mental health protection from flooding. Inexperience rather than experience of flooding is found to increase demand, which indicates that individual mental resilience to flooding may increase after an event as posited by the inoculation hypothesis.
Holobricks: modular coarse integral holographic displays
Authors: Li Jin , Smithwick Quinn , Chu Daping 
Published: March 2022

AbstractHere, we propose and demonstrate a modular holographic display system that allows seamless spatial tiling of multiple coarse integral holographic (CIH) displays called “holobricks”. A holobrick is a self-contained CIH module enclosing a spatial light modulator (SLM), a scanner, and periscopic coarse integral optics. Modular CIH uses a coarse pitch and small area but high-bandwidth SLM in conjunction with periscopic coarse integral optics to form the angularly tiled 3D holograms with large viewing areas and fields of view. The creation of periscopic coarse integral optics prevents the optical system from being larger than the holographic image and allows the holographic fringe pattern to fill the entire face of the holobrick. Thus, multiple holobricks can be seamlessly abutted to form a scalable spatially tiled holographic image display capable of both wide field-of-view angle and arbitrary large-size area. We demonstrate an initial prototype that seamlessly tiles two holobricks each with 1024 × 768 pixels, 40° FOV, full color, 24 fps, displaying 2D, 3D holographic stereograms, and full parallax 3D CGI Fresnel holograms.
Spectral imaging with deep learning
Authors: Huang Longqian , Luo Ruichen , Liu Xu , Hao Xiang 
Published: March 2022

AbstractThe goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large scenes. In contrast, computational spectral imaging methods have resorted to computation power for reduced system volume, but still endure long computation time for iterative spectral reconstructions. Recently, deep learning techniques are introduced into computational spectral imaging, witnessing fast reconstruction speed, great reconstruction quality, and the potential to drastically reduce the system volume. In this article, we review state-of-the-art deep-learning-empowered computational spectral imaging methods. They are further divided into amplitude-coded, phase-coded, and wavelength-coded methods, based on different light properties used for encoding. To boost future researches, we’ve also organized publicly available spectral datasets.
Familial co-aggregation and shared heritability between depression, anxiety, obesity and substance use
Authors: Wang Rujia , Snieder Harold , Hartman Catharina A. 
Published: March 2022

AbstractDepression, anxiety, obesity and substance use are heritable and often co-occur. However, the mechanisms underlying this co-occurrence are not fully understood. We estimated their familial aggregation and co-aggregation as well as heritabilities and genetic correlations to improve etiological understanding. Data came from the multi-generational population-based Lifelines Cohort Study (n = 162,439). Current depression and anxiety were determined using the MINI International Neuropsychiatric Interview. Smoking, alcohol and drug use were assessed by self-report questionnaires. Body mass index (BMI) and obesity were calculated by measured height and weight. Modified Cox proportional hazards models estimated recurrence risk ratios (λR), and restricted maximum likelihood variance decomposition methods estimated heritabilities (h2) and genetic correlations (rG). All analyses were adjusted for age, age2, and sex. Depression, anxiety, obesity and substance use aggregated within families (λR first-degree relative = 1.08–2.74) as well as between spouses (λR = 1.11–6.60). All phenotypes were moderately heritable (from h2depression = 0.25 to h2BMI = 0.53). Depression, anxiety, obesity and smoking showed positive familial co-aggregation. That is, each of these traits confers increased risk on the other ones within families, consistent with the positive genetic correlations between these phenotypes (rG = 0.16–0.94). The exception was obesity, which showed a negative co-aggregation with alcohol and drug use and vice versa, consistent with the negative genetic correlations of BMI with alcohol (rG = −0.14) and soft drug use (rG = −0.10). Patterns of cross-phenotype recurrence risk highlight the co-occurrence among depression, anxiety, obesity and substance use within families. Patterns of genetic overlap between these phenotypes provide clues to uncovering the mechanisms underlying familial co-aggregation.
Transcriptional control of retinal ganglion cell death after axonal injury
Authors: Syc-Mazurek Stephanie B. , Yang Hongtian Stanley , Marola Olivia J. , Howell Gareth R. , Libby Richard T. 
Published: March 2022

AbstractInjury to the axons of retinal ganglion cells (RGCs) is a key pathological event in glaucomatous neurodegeneration. The transcription factors JUN (the target of the c-Jun N-terminal kinases, JNKs) and DDIT3/CHOP (a mediator of the endoplasmic reticulum stress response) have been shown to control the majority of proapoptotic signaling after mechanical axonal injury in RGCs and in other models of neurodegeneration. The downstream transcriptional networks controlled by JUN and DDIT3, which are critical for RGC death, however, are not well defined. To determine these networks, RNA was isolated from the retinas of wild-type mice and mice deficient in Jun, Ddit3, and both Jun and Ddit3 three days after mechanical optic nerve crush injury (CONC). RNA-sequencing data analysis was performed and immunohistochemistry was used to validate potential transcriptional signaling changes after axonal injury. This study identified downstream transcriptional changes after injury including both neuronal survival and proinflammatory signaling that were attenuated to differing degrees by loss of Ddit3, Jun, and Ddit3/Jun. These data suggest proinflammatory signaling in the retina might be secondary to activation of pro-death pathways in RGCs after acute axonal injury. These results determine the downstream transcriptional networks important for apoptotic signaling which may be important for ordering and staging the pro-degenerative signals after mechanical axonal injury.
Cationic-palladium catalyzed regio- and stereoselective syn-1,2-dicarbofunctionalization of unsymmetrical internal alkynes
Authors: Dutta Shubham , Shandilya Shashank , Yang Shengwen , Gogoi Manash Protim , Gandon Vincent , Sahoo Akhila K. 
Published: March 2022

Abstractπ-Extended tetrasubstituted olefins are widely found motifs in natural products, leading drugs, and agrochemicals. Thus, development of modular strategies for the synthesis of complex all-carbon-substituted olefins always draws attention. The difunctionalization of unsymmetrical alkynes is an attractive approach but it has remained faced with regioselectivity issues. Here we report the discovery of a regio- and stereoselective syn-1,2-dicarbofunctionalization of unsymmetrical internal alkynes. A cationic Pd-catalyzed three-component coupling of aryl diazonium salts, aryl boronic acids (or olefins) and yne-acetates enables access to all-carbon substituted unsymmetrical olefins. The transformation features broad scope with labile functional group tolerance, building broad chemical space of structural diversity (94 molecules). The value of this synthetic method is demonstrated by the direct transformation of natural products and drug candidates containing yne-acetates, to enable highly substituted structurally complex allyl acetate analogues of biologically important compounds. Synthetic versatility of the carboxylate bearing highly substituted olefins is also presented. The reaction outcome is attributed to the in situ formation of stabilized cationic aryl-Pd species, which regulates regioselective aryl-palladation of unsymmetrical yne-acetates. Control experiments reveal the synergy between the carboxylate protecting group and the cationic Pd-intermediate in the regioselectivity and reaction productivity; density functional theory (DFT) studies rationalize the selectivity of the reaction.
Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate
Authors: Feng Liang , Palmer Paul I. , Zhu Sihong , Parker Robert J. , Liu Yi 
Published: March 2022

AbstractLarge variations in the growth of atmospheric methane, a prominent greenhouse gas, are driven by a diverse range of anthropogenic and natural emissions and by loss from oxidation by the hydroxyl radical. We used a decade-long dataset (2010–2019) of satellite observations of methane to show that tropical terrestrial emissions explain more than 80% of the observed changes in the global atmospheric methane growth rate over this period. Using correlative meteorological analyses, we show strong seasonal correlations (r = 0.6–0.8) between large-scale changes in sea surface temperature over the tropical oceans and regional variations in methane emissions (via changes in rainfall and temperature) over tropical South America and tropical Africa. Existing predictive skill for sea surface temperature variations could therefore be used to help forecast variations in global atmospheric methane.
Nonlinear down-conversion in a single quantum dot
Authors: Jonas B. , Heinze D. , Schöll E. , Kallert P. , Langer T. , Krehs S. , Widhalm A. , Jöns K. D. , Reuter D. , Schumacher S. , Zrenner A. 
Published: March 2022

AbstractTailored nanoscale quantum light sources, matching the specific needs of use cases, are crucial building blocks for photonic quantum technologies. Several different approaches to realize solid-state quantum emitters with high performance have been pursued and different concepts for energy tuning have been established. However, the properties of the emitted photons are always defined by the individual quantum emitter and can therefore not be controlled with full flexibility. Here we introduce an all-optical nonlinear method to tailor and control the single photon emission. We demonstrate a laser-controlled down-conversion process from an excited state of a semiconductor quantum three-level system. Based on this concept, we realize energy tuning and polarization control of the single photon emission with a control-laser field. Our results mark an important step towards tailored single photon emission from a photonic quantum system based on quantum optical principles.
Cancer stem cell regulated phenotypic plasticity protects metastasized cancer cells from ferroptosis
Authors: Wu Mingming , Zhang Xiao , Zhang Weijie , Chiou Yi Shiou , Qian Wenchang , Liu Xiangtian , Zhang Min , Yan Hong , Li Shilan , Li Tao , Han Xinghua , Qian Pengxu , Liu Suling , Pan Yueyin , Lobie Peter E. , Zhu Tao 
Published: March 2022

AbstractCancer cells display phenotypic equilibrium between the stem-like and differentiated states during neoplastic homeostasis. The functional and mechanistic implications of this subpopulation plasticity remain largely unknown. Herein, it is demonstrated that the breast cancer stem cell (BCSC) secretome autonomously compresses the stem cell population. Co-implantation with BCSCs decreases the tumor-initiating capacity yet increases metastasis of accompanying cancer cells, wherein DKK1 is identified as a pivotal factor secreted by BCSCs for such functions. DKK1-promotes differentiation is indispensable for disseminated tumor cell metastatic outgrowth. In contrast, DKK1 inhibitors substantially relieve the metastatic burden by restraining metastatic cells in the dormant state. DKK1 increases the expression of SLC7A11 to protect metastasizing cancer cells from lipid peroxidation and ferroptosis. Combined treatment with a ferroptosis inducer and a DKK1 inhibitor exhibits synergistic effects in diminishing metastasis. Hence, this study deciphers the contribution of CSC-regulated phenotypic plasticity in metastatic colonization and provides therapeutic approaches to limit metastatic outgrowth.