bluuebunny/crossref_metadata_2025_split huggingface dataset:
Therapists' experiences of “internet exposure” in the therapeutic relationship: An interpretative phenomenological analysis
Authors: Baraniuk Stacey , Lodge Rosemary 
Published: January 2023

AbstractBackgroundAs social media continues to grow in popularity, many people have become accustomed to publishing information about themselves and others on the web. In this context, it is arguably harder than ever for therapists to keep their personal and professional lives separate. There is little research to help practitioners navigate this.AimsThis research aimed at investigating the effect on the therapist and the therapeutic relationship in cases where clients obtained personal information about their therapist online and subsequently disclosed that information during a session.MethodologySemistructured interviews were conducted with six participants and analysed using interpretative phenomenological analysis (IPA). Participants were interviewed twice, with the second interview taking place 8 weeks after the first. Participants were qualified mental health professionals who had experience of a client disclosing personal information about them that had been obtained online.FindingsFour superordinate themes emerged: (1) tension in peacetime, (2) breach of defences, (3) weapons and (4) the aftermath: renegotiation with client and self. These represent the struggle experienced by participants and follow the journey from pre to postdisclosure. The analysis identified feelings of vulnerability and shame, which made it difficult to navigate the therapeutic relationship.ConclusionThe findings suggest that the experience can positively impact the therapeutic relationship, despite challenges. Nonetheless, fear continues to cloud this topic, prompting an avoidance among therapists, supervisors, training organisations and professional bodies. The implications of this study are not concerned with preventing the encounter but rather with preparing for the eventuality.
Synthetic Multienzyme Assemblies for Natural Product Biosynthesis
Authors: Liu Min , Wang Yue , Jiang Hao , Han Yongxu , Xia Jiang 
Published: January 2023

AbstractIn nature, enzymes that catalyze sequential reactions are often assembled as clusters or complexes. The formation of multienzyme complexes, or metabolons, brings the enzyme active sites into proximity to promote intermediate transfer, decrease intermediate leakage, and streamline the metabolic flux towards the desired products. We and others have developed synthetic versions of metabolons through various strategies to enhance the catalytic rates for synthesizing valuable chemicals inside microbes. Synthetic multienzyme complexes range from static enzyme nanostructures to dynamic enzyme coacervates. Enzyme complexation optimizes the metabolic fluxes inside microbes, increases the product titer, and supplies the field with high‐yield microbe strains that are amenable to large‐scale fermentation. Enzyme complexes constructed inside microbial cells can be separated as independent entities and catalyze biosynthetic reactions ex vivo; such a feature gains these complexes another name, “synthetic organelles” – new subcellular entities with independent structures and functions. Still, the field is seeking new strategies to better balance dynamicity and confinement and to achieve finer control of local compartmentalization in the cells, as the natural multienzyme complexes do. Industrial applications of synthetic multienzyme complexes for the large‐scale production of valuable chemicals are yet to be realized. This review focuses on synthetic multienzyme complexes that are constructed and function inside microbial cells.
Suicide left ventricle following protamine: A case report
Authors: Erdem Saliha , An Sin Yeong , McAlister Courtney A. , Basra Sukhdeep S. 
Published: January 2023

AbstractA patient with severe aortic stenosis and left ventricular hypertrophy underwent a transcatheter aortic valve replacement. The patient's blood pressure significantly dropped after protamine administration. A diagnosis of suicide left ventricle post‐valve replacement was made. The diagnosis and management of the protamine reaction are detailed. This case highlights the need to slowly infuse protamine sulfate and monitor for adverse events.
Effect of the Discharging Flap on Particle Separation in a Cyclone
Authors: Misiulia Dzmitry , Nedumaran Praveen Kumar , Antonyuk Sergiy 
Published: January 2023

AbstractThe flow field, pressure drop, and separation efficiency of an industrial cyclone separator were computationally investigated using the Reynolds stress model simulations. The effects of the flapper valve on the static pressure drop, cut size, and slope of the grade efficiency curve were revealed. For that, the cyclone was simulated in three operation regimes, when the flapper valve is open, closed, and without the flapper valve. The results showed that a flapper valve increases the cyclone cut size by 3.4 % when it is in the position “closed” and by 11.4 % when it is in the position “open”. The slope of the grade efficiency curve increases when a valve is switched to the position “open” but the static pressure drop increases by 4.8 % when a flapper valve is in the position “closed”.
Liquefaction of Waste Rendering Fat Using Iron‐Containing Catalysts
Authors: Babor Martin , Tišler Zdeněk , Matějíčková Radka , Peroutková Kateřina , Hidalgo Herrador José Miguel 
Published: January 2023

AbstractWaste rendering fat (WRF) is a solid residuum from rendering plants. WRF is inedible, even for animals, a mixture of lipids with a high content of (mono‐, di‐, tri‐) glycerol esters and free fatty acids. This study focuses on catalytic liquefaction and deoxygenation of WRF with four different iron‐based catalysts, namely, commercial Fe2O3 and three laboratory‐prepared alkali‐activated zeolite foams different in the iron precursor used for impregnation. Three various reaction times were tested. Laboratory‐prepared catalysts enabled a better yield of organic liquid than commercial ones. All catalysts had a positive efficiency of deoxygenation at all reaction times. The combination of Fe(II) and Fe(III) during the catalyst preparation had a beneficial effect.
Highly Selective Monomethylation of Amines with CO2/H2 via Ag/Al2O3 as a Catalyst
Authors: Long Yan , He Jie , Zhang Hang , Chen Yingkang , Liu Kang , Fu Junwei , Li Hongmei , Zhu Li , Lin Zhang , Stefancu Andrei , Cortes Emiliano , Zhu Mingshan , Liu Min 
Published: January 2023

AbstractThe selective synthesis of monomethylated amines with CO2 is particularly challenging because the formation of tertiary amines is thermodynamically more favorable. Herein, a new strategy for the controllable synthesis of N‐monomethylated amines from primary amines and CO2/H2 is explored. First‐principle calculations reveal that the dissociation of H2 via an heterolytic route reduces the reactivity of methylated amines and thus inhibit successive methylation. In situ DRIFTS proves the process of formation and decomposition of ammonium salt by secondary amine reversible binding with H+ on the Ag/Al2O3 catalyst, thereby reducing its reactivity. Meanwhile, the energy barrier for the rate‐determining step of monomethylation was much lower than that of overmethylation (0.34 eV vs. 0.58 eV) means amines monomethylation in preference to successive methylation. Under optimal reaction conditions, a variety of amines were converted to the corresponding monomethylated amines in good to excellent yields, and more than 90 % yield of product was obtained.
Captodative Effect Facilitates the Excitation in Diboron Molecule (CAAC)2B2(SH)2
Authors: Zhang Huaiyu , Wang Yating , Lu Qingrui , Song Jinshuai , Duan Yandong , Zeng Yanli , Mo Yirong 
Published: January 2023

AbstractGiven the extraordinary versatility in chemical reactions and applications, boron compounds have gained increasing attentions in the past two decades. One of the remarkable advances is the unprecedented preparation of unsaturated boron species. Notably, Braunschweig et al. found that the cyclic (alkyl)(amino) carbenes (CAACs) stabilized diboron molecules (CAAC)2B2(SR)2 host unpaired electrons and exist in the 90°‐twisted diradical form, while other analogues, such as N‐heterocyclic carbenes (NHCs), stabilized diboron molecules prefer a conventional B=B double bond. Since previous studies recognized the differences in the steric effect between CAAC and NHC carbenes, here we focused on the role of thiol substituents in (CAAC)2B2(SR)2 by gradually localizing involved electrons. The co‐planarity of the thiol groups and the consequent captodative effect were found to be the culprit for the 90°‐twisted diradical form of (CAAC)2B2(SR)2. Computational analyses identified two forces contributing to the π electron movements. One is the “push” effect of lone pairs on the sulfur atoms which boosts the π electron delocalization between the BB center and CAACs. The other is the π electron delocalization within each (CAAC)B(SR) fragment where the pull effect originates from the π electron withdrawal by CAACs. There are two such independent and orthogonal push‐pull channels which function mainly in individual (CAAC)B(SR) fragments. This enhanced π push‐pull effect in the triplet state facilitates the electronic excitation in (CAAC)2B2(SR)2 by reducing the singlet‐triplet gap.
Volatility analysis for the GARCH‐Itô model with option data
Authors: Yuan Huiling , Zhou Yong , Zhang Zhiyuan , Cui Xiangyu 
Published: January 2023

AbstractLow‐frequency historical data, high‐frequency historical data, and option data are three primary sources that can be used to forecast an underlying security's volatility. In this article, we propose an explicit model integrating the three information sources. Instead of directly using option price data, we extract option‐implied volatility from option data and estimate its dynamics. We provide joint quasimaximum likelihood estimators for the parameters and establish their asymptotic properties. Real data examples demonstrate that the proposed model has better out‐of‐sample volatility forecasting performance than other popular volatility models.
Inducement of population sparsity
Authors: Battey Heather S. 
Published: January 2023

AbstractThe pioneering work on parameter orthogonalization by Cox and Reid is presented as an inducement of abstract population‐level sparsity. This is taken as a unifying theme for this article, in which sparsity‐inducing parameterizations or data transformations are sought. Three recent examples are framed in this light: sparse parameterizations of covariance models, the construction of factorizable transformations for the elimination of nuisance parameters, and inference in high‐dimensional regression. Strategies for the problem of exact or approximate sparsity inducement appear to be context‐specific and may entail, for instance, solving one or more partial differential equations or specifying a parameterized path through transformation or parameterization space. Open problems are emphasized.
PROTOCOL: A mixed methods systematic review on the effects of arts interventions for at‐risk and offending children and young people on behavioural, psychosocial, cognitive and offending outcomes
Authors: Mansfield Louise , Daykin Norma , O'Connell Neil E. , Bailey Daniel , Forde Louise , Smith Robyn , Gifford Jake 
Published: January 2023

AbstractThis is the protocol for a Campbell systematic review. The proposed systematic review question is: What is the effectiveness of arts interventions for at‐risk and offending children and young people (8‐25 years)? There are three objectives: (1) To evaluate evidence on the effectiveness and impact of arts interventions on keeping children safe from involvement in violence and crime; (2) To synthesise evidence on factors impacting the implementation of arts interventions, and barriers and facilitators to participation and achievement of intended outcomes; (3) To develop a theory‐of‐change approach to ensure the development of an evidence‐led framework of the processes by which arts interventions might work in preventing offending behaviours.
Assessment of the Present State and Future Fate of River Saraswati, India: Water Quality Indices and Forecast Models as Diagnostic and Management Tools
Authors: Pramanik Sasanka , Biswas Jayanta Kumar , Kaviraj Anilava , Saha Subrata 
Published: January 2023

AbstractWater quality assessment is key to the conservation and management of rivers. River Saraswati, a distributary of the river Ganga, serves as a lifeline to many villages in the district Hooghly in West Bengal, India. As the river is gradually dying due to diverse man‐made pollution, ten water quality parameters in two sampling spots (PR‐1 and PR‐2) in the river are monitored month‐wise from March 2017 to February 2020, and these are compared with those from a reference pond. The water quality index (WQI) is determined for the two riverine spots and the reference pond based on the Canadian Council of Ministers of Environment WQI (CCMEWQI) and weighted arithmetic WQI, respectively. In addition to actual observations, three different forecasting methods, exponential smoothing, autoregressive integrated moving average, and artificial neural network, are used to predict WQI for the next two years. This study indicates that free CO2, dissolved oxygen, and turbidity are the key parameters to evaluate this river's anthropogenic stress and health. The actual and forecasted results reflect the precipitous degradation of CCMEWQI in PR‐2. Therefore, the immediate intervention of all stakeholders is required to adopt an integrated and comprehensive river management plan to save the river from utter obliteration.
An unusual carbon cycle budget of a small stream in a mountain silicate terrain: The case of the Gravona river (Corsica)
Authors: Schubert Christina M. , Juhlke Tobias R. , Huneau Frederic , Garel Emilie , Santoni Sebastien , Barth Johannes A. C. , van Geldern Robert 
Published: January 2023

AbstractThe current research of carbon cycling in inland waters lacks a sound knowledge of carbon outgassing from small streams. As a consequence, these compartments of the terrestrial water cycle might still be seriously underrepresented in estimates of global carbon transfer budgets from land surfaces. This study investigated carbon sources and sinks of a mountain river in a silicate catchment. For this purpose, the high‐relief Gravona river, in the western part of the island of Corsica (France) in the Western Mediterranean, was investigated for field parameters, dissolved inorganic carbon (DIC) and its stable carbon isotopes (δ13CDIC). The source region was characterized by low DIC contents and high δ13CDIC values that decreased further downstream due to increasing soil respiration. Associated increasing DIC concentrations and elevated seasonality in the lower river section also indicated more respiration and subsequent DIC‐input by weathering. The aqueous partial pressure (pCO2(aq)) was lowest at the source of the Gravona river and samples from the cold season even showed undersaturation that led to uptake of atmospheric CO2. Further downstream, the seasonality of pCO2(aq) increased and was particularly pronounced near the river mouth where CO2 degassing took place. Average DIC flux along the river was 0.129 Gg C year−1 and was almost equal to CO2 degassing from the river surface with 0.128 Gg C year−1. Our study showed that on an annual basis the river is an overall weak to medium source of CO2 to the atmosphere even though headwater parts of the river seasonally act as CO2 sinks.
Simplification of earthquake induced vehicle bridge interaction contact simulation for urban viaducts
Authors: Shi Wen , Xu Yan , Lin Guocai 
Published: January 2023

AbstractThe possibility of motor vehicles parking on or slowly driving on the urban viaducts during earthquakes has been largely increased to a non‐negligible level due to the traffic jams in most of modern cities. As a fact of the earthquake disaster investigation, detachment and collision between motor vehicles and the bridge deck endangered the safety of both drivers and the bridge structure itself. In recent studies, Hertz model was therefore proposed to simulate this nonlinear contact and collision behavior with the complexity and inefficient in solving the kinetic equilibrium equations of earthquake induced vehicle bridge interaction (VBI) system, and hence hindered the comprehensive numerical analysis. In this paper, two linearized contact models, that is, a piecewise linear tangent model derived by Taylor series expansion of the Hertz model and a piecewise secant model derived by least square method of error minimization of the Hertz model, are both proposed to simplify the simulation of the vehicle bridge contact behavior for earthquake induced VBI system. A total of 3*2041VBI parametric systems considering different vehicle masses, frequencies and ground motions, are calculated and statistically analyzed to compare the accuracy of each model with nonlinear Hertz model. Statistical analysis result shows that the vertical contact force calculated by two simplified models are acceptable in earthquake induced VBI analysis with less than 10% error in more than 99% analysis cases. However, the piecewise tangent model is more accurate than the piecewise secant model when the vehicle and bridge stay attached. If detachment occurs, the secant model would have higher accuracy in predicting the initial peak ground acceleration (PGA) of vehicle detachment from the bridge. Based on this result, a formula using the piecewise secant model for predicting the initial detachment PGA of vehicles from the bridge deck is proposed to simplify the increment dynamic analysis (IDA) method in further earthquake induced VBI analysis.
Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning
Authors: Chen Zhiang , Scott Chelsea , Keating Devin , Clarke Amanda , Das Jnaneshwar , Arrowsmith Ramon 
Published: January 2023

AbstractWe apply a deep learning model to segment and identify rock characteristics based on a Structure‐from‐Motion orthomap and digital elevation model of a rocky fault scarp in the Volcanic Tablelands, Eastern California, USA. By post‐processing the deep learning results, we build a semantic rock map and analyse the rock trait distributions. The resulting semantic map contains nearly 230 000 rocks with effective diameters ranging from 2 to 250 cm. Rock trait distributions provide a new perspective on rocky fault scarp development and extend past research on scarp geometry including slope, height and length. Heatmaps indicate rock size spatial distributions on the fault scarp and surrounding topographic flats. Median grain size changes perpendicular to the fault scarp trace, with the largest rocks on the downslope proximal to the scarp footwall. Correlation analyses illustrate the relationship between rock trait statistics and fault scarp geomorphology. Local fault scarp height correlates with median grain size (
= 0.6), the mean grain size of the largest rocks (
= 0.8) and the ratio of the number of small to large rocks (
= 0.4). The positive correlation (
= 0.8) between local fault scarp height and standard deviation of grain size suggests that rocks on a higher fault scarp are less well sorted. The correlation analysis between fault scarp height and rock orientation statistics supports a particle transportation model in which locally higher fault scarps have relatively more rocks with long axes parallel to fault scarp trace because rocks have a larger distance to roll and orient the long axes. Our work demonstrates a data‐driven approach to geomorphology based on rock trait distributions, promising a greater understanding of fault scarp formation and tectonic activity, as well as many other applications for which granulometry is an indicator of process.
Mechanism of palmitoleic acid oxidation into volatile compounds during heating
Authors: Gao Pengxun , Bao Yuxiang , Wang Shuo , Lei Liming , Wang Binchen , Xiao Lin , Cheng Kunya , Wang Yian , Zhang Sufang , Dong Liang 
Published: January 2023

AbstractTo better understand the mechanism of palmitoleic acid oxidation into volatile compounds during heating, volatile profiling was investigated by combining thermal‐desorption cryo‐trapping with gas chromatography–mass spectrometry. A total of 49 volatile compounds were detected and identified during this process, including aldehydes (18), ketones (14), alcohols (9), furans (3) and acids and ester (5). The forming temperature of each volatile was determined. Most of the volatiles with short carbon chains were generated at low temperatures, while those with long carbon chains were generated at high temperatures. Results of principal component analysis show that nearly all of the identified volatiles were considered as the characteristic ones of the high temperature points. Meanwhile, the oxidative products of the C7–C11 saturated and unsaturated aldehydes were also detected and identified during heating to intensively investigate the oxidative mechanism of palmitoleic acid during heating. Results demonstrated that only the C10 saturated and unsaturated aldehydes could continue to be oxidized during heating. Therefore, the oxidation reactions above the secondary level of lipids mainly occurred in the C10 saturated and unsaturated aldehydes.
Stimulation‐induced entrainment of hippocampal network activity: Identifying optimal input frequencies
Authors: Johnson Teryn D. , Keefe Katherine R. , Rangel Lara M. 
Published: January 2023

AbstractThe hippocampus contains rich oscillatory activity, with continuous ebbs and flows of rhythmic currents that constrain its ability to integrate inputs. During associative learning, the hippocampus must integrate inputs from a range of sources carrying information about events and the contexts in which they occur. Under these circumstances, temporal coordination of activity between sender and receiver is likely essential for successful communication. Previously, it has been shown that the coordination of rhythmic activity between the lateral entorhinal cortex (LEC) and the CA1 region of the hippocampus is tightly correlated with the onset of learning in an associative learning task. We aimed to examine whether rhythmic inputs from the LEC in specific frequency ranges were sufficient to enhance the temporal coordination of activity in downstream CA1. In urethane‐anesthetized rats, we applied extracellular low‐intensity alternating current stimulation across the length of the LEC. Using this method, we aimed to phase‐bias ongoing neuronal activity in LEC at a range of different frequencies (from 1.25 to 55 Hz). Rhythmic stimulation of LEC at both 35 and 50 Hz increased the proportion of CA1 neurons significantly entrained to the phase of the applied stimulation current. A subset of stimulation frequencies modified CA1 spiking relationships to the phase of local ongoing CA1 oscillations, with each stimulation frequency exerting a unique influence upon downstream CA1, often in frequency ranges outside the target stimulation frequency. These results suggest there are optimal frequencies for LEC–CA1 communication, and that different profiles of LEC rhythms likely have distinct outcomes upon CA1 processing.