bluuebunny/crossref_metadata_2025_split huggingface dataset:
Key predictors of soil organic matter vulnerability to mineralization differ with depth at a continental scale
Authors: Weiglein Tyler L. , Strahm Brian D. , Bowman Maggie M. , Gallo Adrian C. , Hatten Jeff A. , Heckman Katherine A. , Matosziuk Lauren M. , Nave Lucas E. , Possinger Angela R. , SanClements Michael D. , Swanston Christopher W. 
Published: November 2021

AbstractSoil organic matter (SOM) is the largest terrestrial pool of organic carbon, and potential carbon-climate feedbacks involving SOM decomposition could exacerbate anthropogenic climate change. However, our understanding of the controls on SOM mineralization is still incomplete, and as such, our ability to predict carbon-climate feedbacks is limited. To improve our understanding of controls on SOM decomposition, A and upper B horizon soil samples from 26 National Ecological Observatory Network (NEON) sites spanning the conterminous U.S. were incubated for 52 weeks under conditions representing site-specific mean summer temperature and sample-specific field capacity (−33 kPa) water potential. Cumulative carbon dioxide respired was periodically measured and normalized by soil organic C content to calculate cumulative specific respiration (CSR), a metric of SOM vulnerability to mineralization. The Boruta algorithm, a feature selection algorithm, was used to select important predictors of CSR from 159 variables. A diverse suite of predictors was selected (12 for A horizons, 7 for B horizons) with predictors falling into three categories corresponding to SOM chemistry, reactive Fe and Al phases, and site moisture availability. The relationship between SOM chemistry predictors and CSR was complex, while sites that had greater concentrations of reactive Fe and Al phases or were wetter had lower CSR. Only three predictors were selected for both horizon types, suggesting dominant controls on SOM decomposition differ by horizon. Our findings contribute to the emerging consensus that a broad array of controls regulates SOM decomposition at large scales and highlight the need to consider changing controls with depth.
Involuntary Youth Transport (IYT) to Treatment Programs: Best Practices, Research, Ethics, and Future Directions
Authors: Gass Michael , Hardy Clinton , Norton Christine , Priest Simon 
Published: November 2021

AbstractInvoluntary youth transport (IYT) is a controversial practice used to admit adolescents into residential care. Critics point out that IYT is in need of regulation and is best used as a last resort. This article examines the risks and benefits of IYT, especially the longterm effects on the client, in order to ensure that all facets of a client’s treatment are trauma-informed and guided by research-based practices and ethical principles. Practices that re-traumatize youth need to be replaced with informed practices that facilitate positive outcomes. This article utilizes an ethical decision-making framework developed for behavioral health professionals to assess and improve the ethical use of IYT. Based on this ethical framework, a more effective and collaborative model is presented that results in less restrictive approaches, greater levels of willingness by the adolescent to enter treatment, and trauma-informed management of difficult emotional or physical behaviors. This model also guides professionals and caregivers on how to proceed when IYT services are deemed necessary. The article presents past research and addresses ethical guidelines and best practices for IYT. Steps for practitioners and future directions are discussed.
Loss of SORCS2 is Associated with Neuronal DNA Double-Strand Breaks
Authors: Gospodinova Katerina O. , Olsen Ditte , Kaas Mathias , Anderson Susan M. , Phillips Jonathan , Walker Rosie M. , Bermingham Mairead L. , Payne Abigail L. , Giannopoulos Panagiotis , Pandya Divya , Spires-Jones Tara L. , Abbott Catherine M. , Porteous David J. , Glerup Simon , Evans Kathryn L. 
Published: November 2021

AbstractSORCS2 is one of five proteins that constitute the Vps10p-domain receptor family. Members of this family play important roles in cellular processes linked to neuronal survival, differentiation and function. Genetic and functional studies implicate SORCS2 in cognitive function, as well as in neurodegenerative and psychiatric disorders. DNA damage and DNA repair deficits are linked to ageing and neurodegeneration, and transient neuronal DNA double-strand breaks (DSBs) also occur as a result of neuronal activity. Here, we report a novel role for SORCS2 in DSB formation. We show that SorCS2 loss is associated with elevated DSB levels in the mouse dentate gyrus and that knocking out SORCS2 in a human neuronal cell line increased Topoisomerase IIβ-dependent DSB formation and reduced neuronal viability. Neuronal stimulation had no impact on levels of DNA breaks in vitro, suggesting that the observed differences may not be the result of aberrant neuronal activity in these cells. Our findings are consistent with studies linking the VPS10 receptors and DNA damage to neurodegenerative conditions.
An Agent that Facilitates Crowd Discussion
Authors: Ito Takayuki , Hadfi Rafik , Suzuki Shota 
Published: November 2021

AbstractOnline discussion platforms are perceived as the next-generation method of citizen involvement. Such platforms can collect, integrate, and synthesize opinions to achieve social good. Crowd-scale platforms are being developed and deployed in social experiments that involve citizens and local governments. In such platforms, human facilitation is often used to preserve the quality of the discussions. Human facilitators often face difficulties when the discussions grow in size. In this paper, we present “D-agree,” a crowd-scale discussion support system based on an automated facilitation agent. The agent extracts discussion structures from online discussions, analyzes them, and posts facilitation messages. We conducted small- and large-scale social experiments in Japan to assess the social impact of the platform. The results showcase the success of our automated facilitation agents in gathering valuable opinions from citizens. In addition, our experiments highlight the effect of an automated facilitation agent on online discussions. In particular, we find that combining the agent facilitator with human facilitators leads to higher user satisfaction.
Can Substitutes Reduce Future Demand for Wildlife Products: A Case Study of China’s Millennial Generation
Authors: Rock Katherine I. , MacMillan Douglas C. 
Published: November 2021

AbstractChina is one of the world’s leading consumer markets for wildlife products, yet there is little understanding of how demand will change in the future. In this study, we investigate the consumptive habits and attitudes of the millennial ‘Juilinghou’ demographic – a subset of society in China with the potential to substantially influence future demand for wildlife products. We surveyed 350 Chinese university students across Harbin and Beijing, China, and found that the intended future consumption of wildlife products was relatively low in this population but with a strong orientation towards wildlife products with medicinal properties. Seventy percent of those respondents who had used and/or intended to use wildlife products were willing to try substitutes, but this was heavily dependent on their price (cheaper) and quality. The insights gained through this survey are intended to meaningfully inform future initiatives to introduce sustainable substitutability into wildlife markets to alert future wildlife product consumers to alternative choices.
Do Sports Programs Prevent Crime and Reduce Reoffending? A Systematic Review and Meta-Analysis on the Effectiveness of Sports Programs
Authors: Jugl Irina , Bender Doris , Lösel Friedrich 
Published: November 2021

AbstractObjectivesSports programs are widely implemented as measures of crime prevention. In contrast to their popularity, there is little systematic knowledge about their effectiveness. This systematic review and meta-analysis have been carried out to fill this gap. In a systematic review, we gathered data on evaluated prevention programs specifically designed to prevent crime and delinquency. We then conducted a meta-analytic integration with studies using at least roughly equivalent control groups for the program evaluation.MethodTo retrieve relevant literature, we conducted a comprehensive international literature search until June 2021 drawing on scientific databases. We also applied snow-balling searches and contacted practitioners in the field. Studies were eligible if they evaluated sports programs designed to prevent delinquency on primary, secondary, and/or tertiary level. We focused on crime-related outcomes and potentially underlying psycho-social factors. We made no restrictions regarding characteristics of the participants or other aspects such as duration of the program.Results24 studies were eligible for our systematic review, from which only thirteen were included into our meta-analytic integration. We found a moderate effect of participation in sports programs on crime-related outcomes (d = 0.36,p < .001). Participants showed a significant decrease in outcomes such as aggressiveness or anti-social behavior. We also analyzed psychological outcomes such as self-esteem or mental well-being, which also significantly improved when participating in sports programs (d = 0.87,p < ..05).ConclusionsSports programs seem to be an effective measure of crime prevention. However, future research needs more sound evaluation designs and moderator analyses to better understand the functioning and improve the implementation of sports programs.
The Combined Contribution of Fear and Perceived Danger of COVID-19 and Metacognitions to Anxiety Levels during the COVID-19 Pandemic
Authors: Aydın Orkun , Balıkçı Kuzeymen , Arslan Yasin , Ünal-Aydın Pınar , Müezzin Ece , Spada Marcantonio M. 
Published: November 2021

AbstractDespite a wide base of research suggesting a major role for dysfunctional metacognitions in contributing to anxiety, their role in explaining psychological distress in the context of the COVID-19 pandemic remains unclear. In this study we investigated whether metacognitions would predict anxiety, while controlling for fear and perceived danger of COVID-19. A total of 862 individuals were included in this study. Participants completed sociodemographic questions, emotional state questions relating to COVID-19, the Metacognitions Questionnaire‐30, and the Generalized Anxiety Disorder-7. Results showed that both negative beliefs about thoughts concerning uncontrollability and danger, and cognitive self-consciousness were significant predictors of anxiety beyond the fear and perceived danger of COVID-19. Future studies involving clinical populations are needed to investigate the longer-term impact of metacognitions in the maintenance and exacerbation of anxiety associated with the fear and perceived danger of COVID-19.
Detection of agglomerate fog based on a shallow convolutional neural network
Authors: Li Linlin , Yang Bo , Chen Shaohui 
Published: November 2021

AbstractAs a kind of frequent bad weather, Agglomerate fog is a serious danger to people's safe driving, especially on the highway. Therefore, the research on the detection of fog is of great practical significance to ensure the safety of pedestrians. This paper proposes a shallow convolutional neural network for agglomerate fog detection in images, including the framework of the network and the detailed design of each component. Firstly, the image is divided into several sub-images; and then a shallow convolutional neural network is constructed and employed to identify the existence of fog for each of the sub-area images; lastly, the decision results of each sub-area images were integrated to determine whether the whole image contained agglomerate fog. A large quantity of simulation data and real data were used to test the performance of the proposed method, the experimental results show that the presented method can achieve more than 90% detection accuracy, which demonstrated that the advantage of the proposed method comparing with several existed methods.
ATP-consuming futile cycles as energy dissipating mechanisms to counteract obesity
Authors: Brownstein Alexandra J. , Veliova Michaela , Acin-Perez Rebeca , Liesa Marc , Shirihai Orian S. 
Published: November 2021

AbstractObesity results from an imbalance in energy homeostasis, whereby excessive energy intake exceeds caloric expenditure. Energy can be dissipated out of an organism by producing heat (thermogenesis), explaining the long-standing interest in exploiting thermogenic processes to counteract obesity. Mitochondrial uncoupling is a process that expends energy by oxidizing nutrients to produce heat, instead of ATP synthesis. Energy can also be dissipated through mechanisms that do not involve mitochondrial uncoupling. Such mechanisms include futile cycles described as metabolic reactions that consume ATP to produce a product from a substrate but then converting the product back into the original substrate, releasing the energy as heat. Energy dissipation driven by cellular ATP demand can be regulated by adjusting the speed and number of futile cycles. Energy consuming futile cycles that are reviewed here are lipolysis/fatty acid re-esterification cycle, creatine/phosphocreatine cycle, and the SERCA-mediated calcium import and export cycle. Their reliance on ATP emphasizes that mitochondrial oxidative function coupled to ATP synthesis, and not just uncoupling, can play a role in thermogenic energy dissipation. Here, we review ATP consuming futile cycles, the evidence for their function in humans, and their potential employment as a strategy to dissipate energy and counteract obesity.
Diet and dog characteristics affect major and trace elements in hair and blood of healthy dogs
Authors: Rosendahl Sarah , Anturaniemi Johanna , Vuori Kristiina A. , Moore Robin , Hemida Manal , Hielm-Björkman Anna 
Published: November 2021

AbstractObtaining correct amounts of essential elements, and avoiding toxic metals are key factors in dog health. Through analyzing major and trace elements in hair and blood of 50 healthy companion dogs using ICP-MS, we study their associations with dog characteristics and diet, hypothesizing that eating the same diet long-term results in strong correlations between hair and blood element concentrations, and that dog characteristics and diet affect element status. The correlation between hair and blood was significant for Hg (R = 0.601, p = 0.000) and Pb (R = 0.384, p = 0.010). The following associations were significant (p < 0.05): Dark hair had higher Ca and Mg compared to light hair. Females had higher hair Zn, blood Mn, and blood As compared to males. Blood Mn and Se increased, while blood Pb decreased with age. Raw diet fed dogs had higher hair Zn and Se compared to dry or mixed diet fed dogs, and lower blood Mn compared to dry diet fed dogs. Dry and mixed diet fed dogs had higher blood Cd compared to raw diet fed dogs. Mixed diet fed dogs had higher hair Ca and Mg compared to raw or dry diet fed dogs, and higher hair Pb compared to dry diet fed dogs. Wild game consumption was associated with higher blood Pb, and rice consumption with higher blood As. In conclusion, hair provides an alternative for assessing Hg and Pb exposure, and major and trace elements status is affected by hair color, sex, age, and diet.
Multiscale Modelling of De Novo Anaerobic Granulation
Authors: Tenore A. , Russo F. , Mattei M. R. , D’Acunto B. , Collins G. , Frunzo L. 
Published: November 2021

AbstractA multiscale mathematical model is presented to describe de novo granulation, and the evolution of multispecies granular biofilms, in a continuously fed bioreactor. The granule is modelled as a spherical free boundary domain with radial symmetry. The equation governing the free boundary is derived from global mass balance considerations and takes into account the growth of sessile biomass as well as exchange fluxes with the bulk liquid. Starting from a vanishing initial value, the expansion of the free boundary is initiated by the attachment process, which depends on the microbial species concentrations within the bulk liquid and their specific attachment velocity. Nonlinear hyperbolic PDEs model the growth of the sessile microbial species, while quasi-linear parabolic PDEs govern the dynamics of substrates and invading species within the granular biofilm. Nonlinear ODEs govern the evolution of soluble substrates and planktonic biomass within the bulk liquid. The model is applied to an anaerobic, granular-based bioreactor system, and solved numerically to test its qualitative behaviour and explore the main aspects of de novo anaerobic granulation: ecology, biomass distribution, relative abundance, dimensional evolution of the granules and soluble substrates, and planktonic biomass dynamics within the bioreactor. The numerical results confirm that the model accurately describes the ecology and the concentrically layered structure of anaerobic granules observed experimentally, and that it can predict the effects on the process of significant factors, such as influent wastewater composition; granulation properties of planktonic biomass; biomass density; detachment intensity; and number of granules.
Structured reporting of computed tomography in the staging of colon cancer: a Delphi consensus proposal
Authors: Granata Vincenza , Faggioni Lorenzo , Grassi Roberta , Fusco Roberta , Reginelli Alfonso , Rega Daniela , Maggialetti Nicola , Buccicardi Duccio , Frittoli Barbara , Rengo Marco , Bortolotto Chandra , Prost Roberto , Lacasella Giorgia Viola , Montella Marco , Ciaghi Eleonora , Bellifemine Francesco , De Muzio Federica , Grazzini Giulia , De Filippo Massimo , Cappabianca Salvatore , Laghi Andrea , Grassi Roberto , Brunese Luca , Neri Emanuele , Miele Vittorio , Coppola Francesca 
Published: November 2021

Abstract
Background
Structured reporting (SR) in radiology is becoming increasingly necessary and has been recognized recently by major scientific societies. This study aims to build structured CT-based reports in colon cancer during the staging phase in order to improve communication between the radiologist, members of multidisciplinary teams and patients.

Materials and methods
A panel of expert radiologists, members of the Italian Society of Medical and Interventional Radiology, was established. A modified Delphi process was used to develop the SR and to assess a level of agreement for all report sections. Cronbach’s alpha (Cα) correlation coefficient was used to assess internal consistency for each section and to measure quality analysis according to the average inter-item correlation.

Results
The final SR version was built by including n = 18 items in the “Patient Clinical Data” section, n = 7 items in the “Clinical Evaluation” section, n = 9 items in the “Imaging Protocol” section and n = 29 items in the “Report” section. Overall, 63 items were included in the final version of the SR. Both in the first and second round, all sections received a higher than good rating: a mean value of 4.6 and range 3.6–4.9 in the first round; a mean value of 5.0 and range 4.9–5 in the second round. In the first round, Cronbach’s alpha (Cα) correlation coefficient was a questionable 0.61. In the first round, the overall mean score of the experts and the sum of scores for the structured report were 4.6 (range 1–5) and 1111 (mean value 74.07, STD 4.85), respectively. In the second round, Cronbach’s alpha (Cα) correlation coefficient was an acceptable 0.70. In the second round, the overall mean score of the experts and the sum of score for structured report were 4.9 (range 4–5) and 1108 (mean value 79.14, STD 1.83), respectively. The overall mean score obtained by the experts in the second round was higher than the overall mean score of the first round, with a lower standard deviation value to underline greater agreement among the experts for the structured report reached in this round.

Conclusions
A wide implementation of SR is of critical importance in order to offer referring physicians and patients optimum quality of service and to provide researchers with the best quality data in the context of big data exploitation of available clinical data. Implementation is a complex procedure, requiring mature technology to successfully address the multiple challenges of user-friendliness, organization and interoperability.
Motor Reaction Times as an Embedded Measure of Performance Validity: a Study with a Sample of Austrian Early Retirement Claimants
Authors: Czornik Manuel , Seidl Doris , Tavakoli Sophie , Merten Thomas , Lehrner Johann 
Published: November 2021

AbstractAmong embedded measures of performance validity, reaction time parameters appear to be less common. However, their potential may be underestimated. In the German-speaking countries, reaction time is often examined using the Alertness subtest of the Test of Attention Performance (TAP). Several previous studies have examined its suitability for validity assessment. The current study was conceived to examine a variety of reaction time parameters of the TAP Alertness subtest with a sample of 266 Austrian civil forensic patients. Classification results from the Word Memory Test (WMT) were used as an external indicator to distinguish between valid and invalid symptom presentations. Results demonstrated that the WMT fail group performed worse in reaction time as well as its intraindividual variation across trials when compared to the WMT pass group. Receiver operating characteristic analyses revealed areas under the curve of .775–.804. Logistic regression models indicated the parameter intraindividual variation of motor reaction time with warning sound as being the best predictor for invalid test performance. Suggested cut scores yielded a sensitivity of .62 and a specificity of .90, or .45 and .95, respectively, when the accepted false-positive rate was set lower. The results encourage the use of the Alertness subtest as an embedded measure of performance validity.
Hereditary cancer panel testing challenges and solutions for the latinx community: costs, access, and variants
Authors: Douglas Michael P. , Lin Grace A. , Trosman Julia R. , Phillips Kathryn A. 
Published: November 2021

Abstract
Hereditary breast and ovarian cancers (HBOCs) are common among the Latinx population, and risk testing is recommended using multi-gene hereditary cancer panels (HCPs). However, little is known about how payer reimbursement and out-of-pocket expenses impact provider ordering of HCP in the Latinx population. Our objective is to describe key challenges and possible solutions for HCP testing in the Latinx population. As part of a larger study, we conducted semi-structured interviews with key provider informants (genetic counselors, oncologist, nurse practitioner) from safety-net institutions in the San Francisco Bay Area. We used a deductive thematic analysis approach to summarize themes around challenges and possible solutions to facilitating HCP testing in Latinx patients. We found few financial barriers for HCP testing for the Latinx population due to laboratory patient assistance programs that cover testing at low or no cost to patients. However, we found potential challenges related to the sustainability of low-cost testing and out-of-pocket expenses for patients, access to cascade testing for family members, and pathogenic variants specific to Latinx. Providers questioned whether current laboratory payment programs that decrease barriers to testing are sustainable and suggested solutions for accessing cascade testing and ensuring variants specific to the Latinx population were included in testing. The use of laboratories with payment assistance programs reduces barriers to HCP testing among the US population; however, other barriers are present that may impact testing use in the Latinx population and must be addressed to ensure equitable access to HCP testing for this population.