bluuebunny/crossref_metadata_2025_split huggingface dataset:
Triarchic psychopathic traits versus self‐control: Comparing associations with youth antisocial outcomes
Authors: Pechorro Pedro , Abrunhosa Gonçalves Rui , Barroso Ricardo , Quintas Jorge , DeLisi Matt 
Published: June 2022

AbstractBackgroundPsychopathy and low self‐control are useful constructs for understanding antisociality/criminality. The triarchic model of psychopathy in particular is a recent and promising conceptualisation, composed of boldness, disinhibition, and meanness ‐ three personality traits that have never been studied in tandem with low self‐control.AimsTo test relationships between the triarchic personality traits of boldness, disinhibition and meanness and low self‐control with delinquent or antisocial acts.MethodsIn a cross‐sectional, self‐report study a schools' cohort of 14‐ to 18‐year‐olds (Mean 15.91 years, SD = 0.99 years) was recruited from regions in South Portugal and Lisbon, representative of the general population of this age in sex distribution and education. After parental consent, teenage volunteers in small groups completed psychopathy and self‐control self‐rating scales and then a questionnaire about their criminal or delinquent activities, all on one single occasion and in confidence from school staff or parents. Path analysis was used to test relationships.Results567 young people, 256 (45%) of them girls, completed all ratings, 89% of those invited to do so. Low self‐control had the strongest relationship with antisocial/criminal acts, followed by the disinhibition or meanness traits of the triarchic psychopathy construct. The boldness trait of the triarchic psychopathy construct had the weakest relationship.ConclusionsOur findings suggest that the most effective targets for intervention to prevent or limit antisocial behaviours by young people are likely to be self‐control and disinhibition. Behavioural interventions that improve social skills and verbal problem‐solving that encourage listening and waiting in response to environmental stimuli are likely to effect reduction of impulsive and aggressive reactions to others and so reduce conduct problems. Since disinhibition and self‐control are such overlapping constructs, improvements in one area will generally facilitate improvements in the other area.
An acute localized reaction following a mosquito bite in a breast cancer treated patient
Authors: Said El Mabrouk Randa , Mohamed Mariem , Hadhri Rim , Zili Jameleddine 
Published: June 2022

AbstractAcute localized exanthematous pustulosis (ALEP) is a rare localized variant of acute generalized exanthematous pustulosis (AGEP). We report a case of ALEP localised on the trunk and induced by a mosquito bite in a breast cancer treated female patient.
Acute ischemic stroke and convexity subarachnoid hemorrhage in large vessel atherosclerotic stenosis: Case series and review of the literature
Authors: Safan Abeer Sabry , Imam Yahia , Akhtar Naveed , Al‐Taweel Haya , Zakaria Ayman , Quateen Aiman , Own Ahmed , Kamran Saadat 
Published: June 2022

AbstractAtraumatic convexity subarachnoid hemorrhage (cSAH) is a rare non‐aneurysmal SAH, commonly due to ipsilateral internal carotid artery (ICA) stenosis. It is unusual for the cSAH to occur contralaterally to the infarct. We report two cases of acute ischemic stroke associated with contralateral and ipsilateral cSAH that had different presentations.
A case of tubulointerstitial nephritis and uveitis syndrome following drug‐induced acute interstitial nephritis
Authors: Kitamura Yukiko , Kuraoka Shohei , Nagano Koji , Tamura Hiroshi 
Published: June 2022

AbstractDistinguishing between late‐onset TINU syndrome and drug‐induced AIN remains difficult given that patients with TINU syndrome may develop uveitis long after the onset of AIN. Therefore, ophthalmic examination is required not only upon diagnosis but also continuously or when eye symptoms and relapse of urinary findings are observed.
Successful resection of gastric cancer arising from a heterotopic gastric gland in the submucosa by endoscopic submucosal dissection
Authors: Inokuchi Yasuhiro , Washimi Kota , Watanabe Mamoru , Hayashi Kei , Kaneta Yoshihiro , Furuta Mitsuhiro , Machida Nozomu , Maeda Shin 
Published: June 2022

AbstractHeterotopic gastric gland (HGG)‐originating early gastric cancer was endoscopically resected. We resected the HGG, widely marked the perimeter outside the submucosal tumor‐like area, injected from outside the markings into the submucosa, dissected the muscular layer, and used fine‐tip hood. HGG removal and ensuring negative horizontal and vertical margins are critical.
Expanding the phenotype of the recurrent truncating eIF2γ pathogenic variant p.(Ile465Serfs*4) identified in two brothers with MEHMO syndrome
Authors: Ygberg Sofia , Lindstrand Anna 
Published: June 2022

AbstractWe describe two brothers with a recurrent truncating EIF2S3 variant and MEHMO (Mental retardation, Epileptic seizures, Hypogonadism and ‐genitalism, Microcephaly, Obesity). Both had the previously described facial dysmorphic features, microcephaly, developmental impairment, hypoglycemia, hypothyreosis, diabetes mellitus, epilepsy, hypertonus, obesity, and micropenis. Additionally, we describe hypothermia and reduced umbilical blood flow.
Primary adrenal insufficiency
Authors: Zilbermint Mihail , Demidowich Andrew P. 
Published: June 2022

AbstractPrimary adrenal insufficiency is a potentially life‐threatening condition. We report a case of a 49‐year‐old female patient who presented to the hospital for evaluation of dizziness, nausea, and vomiting. Darkening of the palmar creases and tongue was noted. The adrenocorticotropic hormone stimulation test confirmed the diagnosis of adrenal insufficiency.
The Impact of Support Material of Cobalt‐Based Catalysts Prepared by Double Flame Spray Pyrolysis on CO2 Methanation Dynamics
Authors: Gäßler Max , Stahl Jakob , Schowalter Marco , Pokhrel Suman , Rosenauer Andreas , Mädler Lutz , Güttel Robert 
Published: June 2022

AbstractMethanation is capable of chemical storage of fluctuating renewable energy, which requires fundamental understanding of the dynamics of the kinetic processes taking place on the catalyst surface. In order to elucidate the impact of the catalyst support on the dynamics, Co‐based model catalysts were synthesized via double flame spray pyrolysis (DFSP) differing only in the support materials. In particular, Co nanoparticles of identical particle size distributions are supported on SiO2, TiO2 and SiO2‐TiO2 mixtures by independent formation of the support and the active metal by means of DFSP. The transient catalyst behavior was studied by step changes of the feed gas composition and the analysis of the reactor response with high temporal resolution, according to the periodic transient kinetics method. It was revealed that H2O adsorption strongly depends on the support with increasing sorption capacity from SiO2, via SiO2‐TiO2 to TiO2. The storage of H2O on the support induces a sorption‐enhancement effect and thereby promotes the transient CH4 formation rate for Co/TiO2 catalysts. Transient experiments before and after a steady‐state operation period under CO2 methanation reveal an unchanging reaction mechanism, while changes in selectivity towards CH4 and CO are observed together with a certain degree of deactivation. Hence, the support material was identified to play a major role in activity, selectivity and deactivation behavior for supported Co catalysts in CO2 methanation.
A Highly Stretchable and Self‐Healing Composite Binder Based on the Hydrogen‐Bond Network for Silicon Anodes in High‐Energy‐Density Lithium‐Ion Batteries
Authors: Luo Peng , Lai Pengyuan , Huang Yiwu , Yuan Yuan , Wen Jianwu , Xie Changqiong , Li Jing , Liu Lili 
Published: June 2022

AbstractOwing to its large theoretical capacity, silicon (Si)‐based materials are considered the most promising anode materials for high‐energy lithium‐ion batteries. However, the inherent huge volume change of silicon particles causes degradation of structural integrity and the rapid decay of electrode capacity, which severely restricts the practical application of Si‐based anodes. To alleviate the volume expansion, a novel self‐healing polymer binder based on the hydrogen bond complexation between polyacrylic acid (PAA) and polyethylene glycol (PEO) was prepared by a simple and environmentally friendly method. The PAA‐PEO composites binder can effectively improve the bulk effect of silicon and produce a more stable solid‐liquid interface film during long‐term cycling. The reversible specific capacity of the silicon anode using composite binder after 200 cycles at 0.5 C high current density is 870 mAh/g, which is 4.5 times higher than the remaining specific capacity of silicon anode using PAA as a binder.
Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems
Authors: B. R. Nogueira Idelfonso , V. Santana Vinicius , Ribeiro Ana M. , Rodrigues Alírio E. 
Published: June 2022

AbstractUniversal differential equations are a concept in scientific machine learning that leverages the potential of the universal approximator theorem and the physical knowledge of a given system. Creating this level of hybridization within a stiff partial differential equation system is a challenge. On the other hand, adsorption phenomenological models have sink/source terms that describe the adsorption equilibrium through a well‐known simplified model (e.g., Langmuir; Sips; and Brunauer, Emmet, Teller [BET]). These suitable mechanistic assumptions are identified through experiments, providing the parameters of the sink/source model. However, these mechanistic assumptions are a simplification of the system phenomenology. Therefore, the resulting model is limited by its premises. In this scenario, the universal ordinary differential equations (UODE) is presented as an approach that conciliates the potential of artificial neural networks to learn given phenomena without conceptual simplifications. On the other hand, keeping into consideration the system physics. This work proposes a UODE system to solve the multicomponent separation by adsorption in a fixed bed column. Experimental data is used to identify the hybrid model. The required amount of data used in the model identification demonstrates that hybrid models can use a few data points to precisely describe the system. Furthermore, the obtained model can describe competitive adsorption with higher precision than the Langmuir model.
The influence of different zeolitic supports on hydrogen production and waste degradation
Authors: Subtil Gimerson Weigert , Vicentini Jean César Marinozi , de Oliveira Daiane Marques , de Castro‐Hoshino Lidiane Vizioli , Yassue‐Cordeiro Patricia Hissae , Vicentino Renata Corrêa , Scaliante Mara Heloisa Neves Olsen 
Published: June 2022

AbstractThe photocatalyst composition affects the chemical–physical properties and directly impacts photocatalytic activity, both in the hydrogen production and degradation of organic contaminants. In this work, the influence of zeolitic structures NaA, NaY, and ZSM‐5 combined with a 10% active phase, TiO2 catalyst doped with 1% copper, and cobalt cocatalysts was tested to mineralize the reactive blue dye (CI250) and to produce hydrogen by photocatalysis under ultraviolet radiation. The band gap energy was affected mainly by the cocatalyst, while the Brunauer‐Emmett‐Teller method (BET) area was affected by the zeolite structure as well as the X‐ray diffraction (XRD). The most active catalyst was the Cu@TiO2/NaY, which promoted a hydrogen production rate of 240 μmolH2gcat−1 using 10% ethanol (v/v) aqueous solution as a sacrificial agent and mineralization of 53% of the organic dye, followed by the catalysts impregnated on ZSM‐5 zeolites, which had discolouration up to 50% and hydrogen evolution of 92.6 and 109.7 μmolH2gcat−1 for the catalyst doped with Cu and Co, respectively.
Reducing bias due to misclassified exposures using instrumental variables
Authors: Manuel Christopher , Sinha Samiran , Wang Suojin 
Published: June 2022

AbstractExposures are often misclassified in observational studies. Any analysis that does not make proper adjustments for misclassification may result in biased estimates of model parameters, resulting in distorted inference. Settings where a multicategory exposure variable has more than two nominal categories or where no validation data are available to assess misclassification probabilities are common in practice but seldom considered in the literature. This article presents a novel method of analyzing cohort data with a misclassified, multicategory exposure variable and a binary response variable that uses instrumental variables in lieu of a validation dataset. First, a sufficient condition is obtained for model identifiability. Then, methods for model estimation and inference are proposed after adopting a sufficient condition for identifiability. We consider a variational Bayesian inference procedure aided by automatic differentiation along with Markov chain Monte Carlo‐based computation. Operating characteristics of the proposed methods are assessed through simulation studies. For the purpose of illustration, the proposed Bayesian methods are applied to the U.S. breast cancer mortality data sampled from the Surveillance Epidemiology and End Results database, where reported treatment therapy is the misclassified multicategory exposure variable.
5‐Hydroxymethylfurfural and Furfural Chemistry Toward Biobased Surfactants
Authors: Yue Xiaoyang , Queneau Yves 
Published: June 2022

AbstractInvited for this month′s cover is the group of Yves Queneau at the University of Lyon. The cover image shows superb natural architectures with spherical symmetrical shapes evoking that of organized systems, micelles, and bubbles symbolizing creativity and imagination in the molecular design of biobased surfactants. The Review highlights the emerging use of 5‐hydroxymethylfurfural and other biobased furans as scaffolds toward novel amphiphiles. The Review itself is available at 10.1002/cssc.202102660.
A capacitor based single source MLI with natural balancing and less component for EV/HEV application
Authors: Aditya Kancharapu , Suresh Yellasiri , Shiva Naik Banavath , Nageswar Rao Bhukya , Panda A. K. 
Published: June 2022

SummaryDue to their remarkable performance, capacitor‐based inverters have recently gained attention. Hence, a new capacitor‐based multilevel inverter is presented in this paper for electric and hybrid electric vehicle (EV and HEV) applications. EV systems are quite well for their use of two‐level inverters; however, the generated load voltage comprises substantial undesirable harmonic content. It is regarded as one of the most efficient methods since replacing a two‐level inverter with a multilevel inverter improves the power quality despite significantly reducing total harmonic distortion. Therefore, the recommended filter dimension will also be minimized. A flurry of reliability concerns has arisen due to the increased number of devices, circuit complexity, and stress on the circuit devices. A nine‐level voltage waveform is created with only ten IGBTs, a DC‐Source, and two capacitors. In the proposed nine‐level inverter, the capacitor voltage is balanced utilizing a simple control approach to regulate the flying capacitor (FC) voltages actively. Here described a simple logic gate‐based pulse‐width modulation technique that ensures capacitor power balancing. The proposed inverter operation and capability are validated by experimental results derived from a laboratory prototype. Finally, by contrasting the new and standard inverter topologies, the virtues of the suggested architecture by the number of devices and price of the equipment are highlighted, and it is a simpler structure that requires less space and footprint area.
Projection‐based throughput enhancement for 3D geographic routing technique in multi‐hop wireless networks
Authors: Begum Afruza , Anwar Hussain Md 
Published: June 2022

SummaryEfficient geographic routing techniques in multi‐hop wireless networks are popular and attractive for their effective routing mechanism; here, for routing, the location information is used instead of topology information. In recent years, most of the proposed position‐based routing protocols have been designed for 2D space, but in real‐life scenarios, the nodes are usually deployed in 3D space. Working with 3D space is more complicated than with 2D space. Enhancement of the end‐to‐end throughput while reducing the energy consumption and the end‐to‐end delay is the primary consideration for designing routing protocols in a 3D geographical multi‐hop wireless network. This paper proposes a projection‐based routing technique, where routes obtained in 3D multi‐hop wireless networks are projected on 2D planes and on the reference line (RL). The main goal of this study is to simplify the operational difficulties in 3D space and performance enhancement of the network in terms of throughput, energy consumption and delay. The proposed technique presents the various projection methods for the routes obtained in 3D space. The projections are made on (i) the RL joining source to destination; (ii) the planes
,
and
; and (iii) a particular 3D plane. The effectiveness of the proposed technique is demonstrated through simulation, considering the network parameters, end‐to‐end delay, throughput and energy consumption.
Trauma exposure and eating disorders: Results from a United States nationally representative sample
Authors: Convertino Alexandra D. , Morland Leslie A. , Blashill Aaron J. 
Published: June 2022

AbstractObjectiveSexual assault, child abuse, and combat have been linked to eating disorders (EDs). However, noninterpersonal trauma is relatively understudied, and therefore it is unknown whether noninterpersonal trauma is associated with EDs. Furthermore, most previous studies do not account for multiple trauma exposures, or the relative association of traumatic events with EDs in the same statistical model.MethodMultinomial regression was used to examine the association of lifetime ED diagnosis (anorexia nervosa [AN], bulimia nervosa [BN], binge eating disorder [BED]) with trauma type (sexual interpersonal, other interpersonal, war/combat, and noninterpersonal) in a nationally representative dataset of US adults in bivariate and multivariable (i.e., with all trauma types) models.ResultsSexual interpersonal trauma was significantly positively associated with AN and BED in bivariate and multivariable models. In the multivariable model, only BED was found to be equally associated with sexual interpersonal, other interpersonal, and noninterpersonal trauma.DiscussionThese results indicate a strong positive association between sexual trauma and EDs, even when controlling for experiences of other trauma events. Future research should examine longitudinal mediators between trauma and EDs, especially sexual trauma, to identify what factors may explain this relationship.Public significance statementIndividuals with eating disorders often experience traumatic events but it is unclear whether specific trauma types are more or less common in this population. This study found that only events such as rape and sexual assault are associated with anorexia nervosa, but that most trauma types are associated with binge eating disorder. Therefore, the relationship between trauma and binge eating disorder may function differently than other eating disorders.
Assessing runoff and erosion on woodland‐encroached sagebrush steppe using the Rangeland Hydrology and Erosion Model
Authors: Williams C. Jason , Pierson Frederick B. , Al‐Hamdan Osama Z. , Nouwakpo S. Kossi , Johnson Justin C. , Polyakov Viktor O. , Kormos Patrick R. , Shaff Scott E. , Spaeth Kenneth E. 
Published: June 2022

AbstractThe transition of sagebrush‐dominated (Artemisia spp.) shrublands to pinyon (Pinus spp.) and juniper (Juniperus spp.) woodlands markedly alters resource‐conserving vegetation structure typical of these landscapes. Land managers and scientists in the western United States need knowledge and predictive tools for assessment and effective targeting of tree‐removal treatments to conserve or restore sagebrush vegetation and associated hydrologic function. This study developed modeling approaches to quantify the hydrologic vulnerability and erosion potential of sagebrush rangelands in the later stages of woodland encroachment and in response to commonly applied tree‐removal treatments. Using experimental data from multiple sites in the Great Basin Region, USA, and process‐based knowledge from decade‐long vegetation and rainfall simulation studies at those sites, we (1) assessed the capability of the Rangeland Hydrology and Erosion Model (RHEM) to accurately predict patch‐scale (12 m2) measured runoff and erosion from tree canopy and intercanopy hydrologic functional units in untreated and burned woodlands 9 years postfire, and (2) developed and evaluated multiple RHEM approaches/frameworks to model aggregated effects of tree canopy and intercanopy areas on patch‐ and hillslope‐scale (50 m length) runoff and erosion processes in untreated and treated (burned, cut, and masticated) woodlands. The RHEM accurately predicted measured runoff and sediment yield from patch‐scale rainfall simulations as partitioned on untreated and treated tree canopy and intercanopy areas and effectively parameterized the dominant controls on runoff and erosion process in woodlands. With few exceptions, evaluated hillslope‐scale RHEM frameworks similarly predicted reduced hydrologic vulnerability and erosion potential for conditions 9 years following tree removal by burning, cutting, and mastication treatments. Regressions of RHEM‐predicted hillslope runoff, sediment, and hydraulic/erosion parameters with bare ground and ground cover attributes indicate all RHEM frameworks effectively represented the dominant controls on hydrologic and erosion processes for rangelands and woodlands. The results provide RHEM frameworks and recommendations for assessing hydrologic vulnerability and erosion potential on woodland‐encroached sites and predicting the effectiveness of tree removal to reestablish a water and soil resource‐conserving vegetation structure on sagebrush rangelands. We anticipate our RHEM or similar modeling approaches may be applicable to analogous water‐limited landscapes elsewhere subject to woody plant encroachment.
Delayed fire mortality has long‐term ecological effects across the Southern Appalachian landscape
Authors: Robbins Zachary J. , Loudermilk E. Louise , Reilly Matthew J. , O'Brien Joseph J. , Jones Kate , Gerstle Christopher T. , Scheller Robert M. 
Published: June 2022

AbstractFire is a critical ecological process to the forests of the Southern Appalachians. Where fire was excluded from forest types that historically burned frequently, unanticipated changes can occur when fire is reintroduced. For example, the development of new fuel characteristics can change the patterns of fire mortality and associated ecological responses. To test the fire effects of delayed fire mortality (mortality initiated by fire that occurs subsequent to the fire year) in the Southern Appalachians, USA, we developed a fire‐effects model using both field studies and remote sensing. We then simulated these effects at a landscape scale to estimate broader ecological effects. Fire‐effects models that accounted for delayed mortality increased landscape biomass removed annually (~23%) and increased the number of sites with high light conditions (leaf area index < 4) when compared to simulations that only account for immediate mortality. While delayed mortality occurred across species and age classes, it was especially prevalent among older trees (>100 years old) and fire‐resistant species (Quercus spp.). Overall, regeneration (trees <20 years old) changed very little, even with the inclusion of delayed mortality. This evidence suggests that, even when accounting for delayed mortality, individual fires are unlikely to shift the landscape composition toward the conditions of forests prior to fire exclusion and may even increase mesophication long term due to the loss of overstory dominant xeric trees.