bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deficiency of Parkinson’s Related Protein DJ-1 Alters Cdk5 Signalling and Induces Neuronal Death by Aberrant Cell Cycle Re-entry
Authors: López-Grueso María José , Padilla Carmen Alicia , Bárcena José Antonio , Requejo-Aguilar Raquel 
Published: February 2022

Abstract
DJ-1 is a multifunctional protein involved in Parkinson disease (PD) that can act as antioxidant, molecular chaperone, protease, glyoxalase, and transcriptional regulator. However, the exact mechanism by which DJ-1 dysfunction contributes to development of Parkinson’s disease remains elusive. Here, using a comparative proteomic analysis between wild-type cortical neurons and neurons lacking DJ-1 (data available via ProteomeXchange, identifier PXD029351), we show that this protein is involved in cell cycle checkpoints disruption. We detect increased amount of p-tau and α-synuclein proteins, altered phosphoinositide-3-kinase/protein kinase B (PI3K/AKT) and mitogen-activated protein kinase (MAPK) signalling pathways, and deregulation of cyclin-dependent kinase 5 (Cdk5). Cdk5 is normally involved in dendritic growth, axon formation, and the establishment of synapses, but can also contribute to cell cycle progression in pathological conditions. In addition, we observed a decrease in proteasomal activity, probably due to tau phosphorylation that can also lead to activation of mitogenic signalling pathways. Taken together, our findings indicate, for the first time, that aborted cell cycle re-entry could be at the onset of DJ-1-associated PD. Therefore, new approaches targeting cell cycle re-entry can be envisaged to improve current therapeutic strategies.

Graphical Abstract
Cognitive Triad and Depressive Symptoms in Adolescence: Specificity and Overlap
Authors: Marchetti Igor , Pössel Patrick 
Published: February 2022

AbstractAdolescence is a critical period for the development of depressive symptoms and the understanding of vulnerability factors that facilitate their onset is pivotal. In this study, we focused on Beck’s cognitive triad, namely its three-fold structure, comprising views of the self, world, and future. Despite its crucial role in the cognitive theory of depression, the relationship between the cognitive triad and depressive symptoms in adolescence is still unclear. In our study, we adopted a meta-analytic commonality analysis approach, in order to clarify whether the three components of the triad overlap in accounting for depressive symptoms, or they show distinct profiles of association. By relying on six independent samples of early adolescents (age range = 13–14: n = 174, 66% female, n = 347, 41% female), mid adolescents (age range = 15–17: n = 304, 61% female; n = 92, 34% female), and late adolescents (age range = 18–21: n = 217, 84% female, n = 101, 56% female), we showed that the views of the self, world, and future substantially overlap in accounting for depressive symptoms, although specific areas of distinctiveness could be detected. Moreover, the association between the cognitive triad and depressive symptoms appeared to be a function of both the developmental phase and gender. Furthermore, the cognitive triad emerged as specifically related to symptoms related to negative mood, absence of positive mood, and negative appraisal of the past. These findings advance our understanding of cognitive vulnerability for depressive symptoms in adolescence.
Quantitative Macroeconomics: Lessons Learned from Fourteen Replications
Authors: Kirkby Robert 
Published: February 2022

AbstractI replicate all tables and figures from fourteen papers in Quantitative Macroeconomics, with an emphasis on incomplete market heterogeneous agent models. I report three main findings: (i) all (non-welfare related) major findings of the papers replicate, (ii) welfare findings based on linear approximation methods—1st-order perturbation, linear and log-linearization around steady-state, and linear-quadratic methods—should be treated as quantitatively suspect, (iii) decisions around methods for discretizing exogenous shocks have a large and unappreciated influence on results and should be prominently discussed in papers. While some smaller aspects of the papers do not replicate exactly, rather than nitpick in the body of this paper I instead describe some lessons learnt that may be useful for practitioners working with Quantitative Macroeconomic models. The replications use global methods allowing for non-linearities and I argue that these are important and need to be more widely used. I provide a checklist that researchers can use when trying to check that their work will be more easily reproducible. Matlab codes implementing the replications using the VFI Toolkit are provided, and full results of all replications are given in the online appendix. I conclude with three core points for best practice: (i) codes be made directly available (e.g., on github, not only ’on request’, and not just inside a zip file), (ii) report not just baseline parameters but also hyperparameters, equilibrium values, non-baseline parameters and initial conditions, and (iii) replication means rewriting codes from scratch, not just re-running available codes.
Shear layer over floodplain vegetation with a view on bending and streamlining effects
Authors: Caroppi Gerardo , Järvelä Juha 
Published: February 2022

Abstract
Shrubby and woody vegetation growing on floodplains profoundly influences hydrodynamic and transport processes in riverine systems. Existing hydrodynamic research is mostly focused on conditions with aquatic plants and rigid model vegetation. To appreciate the different hydrodynamic impacts of submerged floodplain and riverbank vegetation, a novel flume investigation was carried out. We simulated conditions found in riparian environments in terms of vegetation density, plant structure and flexibility, and presence of a grassy understory. Four experimental cases were defined so that vegetation exhibited different degrees of bending and streamlining. Extensive set of velocity measurements allowed reliable description of the double averaged flow. Vegetation morphology, with the flexibility-induced streamlining and dynamic motion controlled the magnitude and distribution of the vegetative drag, shaping the shear penetration within the canopy. The flows were highly heterogeneous, thus calling for spatially averaged approaches for the flow field investigation. The relative importance of dispersive momentum fluxes was high in the canopy bottom region where both Reynolds and dispersive stresses were small. The contribution of dispersive fluxes to momentum transport decreased with increasing reconfiguration. The results revealed the shear layers over floodplain vegetation to be dynamically similar to other environmental flows over porous obstructions. However, the velocity-dependent vegetative drag and deflected height introduced additional complexity in the flow simulation. Altogether our findings implied that accurate description of vegetated floodplain flows can be achieved only when plant morphology and flexibility are appropriately described in drag models.

Article highlights

A novel experimental setup with flexible woody plants and grasses was used to model the hydrodynamics of vegetated floodplains.

Plant morphology and flexibility controlled the vegetative drag, affecting key shear layer features, including the shear penetration.

The spatially heterogeneous flows had higher dispersive stresses at the canopy bottom, where the total fluid stress was small.
Agri-environmental implications of N- and P-based manure application to perennial and annual cropping systems
Authors: Kokulan Vivekananthan , Ige Dupe , Akinremi Olalekan O. 
Published: February 2022

AbstractContinuous manure application based on crop nitrogen (N) requirements could substantially increase field nutrient losses from croplands. Although phosphorus-based (P) manure application is an alternative, crops may suffer from potential microbial P immobilization and fixation of P in soil. A three-year study (2012–2014) was carried out in Manitoba, Canada, to evaluate the agronomic and environmental benefits and tradeoffs between N- and P-based liquid and solid swine manure applications on previously established (2009) annual (ACS) and perennial (PCS) cropping systems. The N-based solid manure produced greater aboveground biomass and grain yields of barley than the unfertilized control in the ACS. The N-based liquid manure produced greater biomass than the control in the PCS. Phosphorus-based treatments produced statistically similar canola oilseed grains as the N-based treatments. Seeding the PCS to canola in 2013 produced greater aboveground biomass yields than the ACS; however, the canola oilseed yields were not significantly different between the two systems. The N-based solid manure application increased Olsen P by approximately 30 mg kg−1 in both cropping systems during the three-year study period. Both N- and P-based liquid manure treatments and the N-based solid manure treatment lost significantly greater nitrate through leaching than the control in 2013, when most leaching losses occurred. Our study also showed that some of the environmental benefits of the perennial cropping system, such as reduced nitrate leaching, could be lost when converted to an annual cropping system.
Vacuum decay and quadratic gravity: the massive case
Authors: Vicentini Silvia , Rinaldi Massimiliano 
Published: February 2022

AbstractFalse vacuum decay in field theory may be formulated as a boundary value problem in Euclidean space. In a previous work, we studied its solution in single scalar field theories with quadratic gravity and used it to find obstructions to vacuum decay. For simplicity, we focused on massless scalar fields and false vacua with a flat geometry. In this paper, we generalize those findings to massive scalar fields with the same gravitational interactions, namely an Einstein-Hilbert term, a quadratic Ricci scalar, and a non-minimal coupling. We find that the scalar field reaches its asymptotic value faster than in the massless case, in principle allowing for a wider range of theories that may accommodate vacuum decay. Nonetheless, this hardly affects the viability of the bounce in the scenarios here considered. We also briefly consider other physically interesting theories by including higher-order kinetic terms and changing the number of spacetime dimensions.
The Social Support Network of Adults with an Autism Spectrum Condition: An Exploration Using the Network in Action-Questionnaire
Authors: van den Heuvel Rinske M. , Wensing Michel , Geurts Hilde M. , Teunisse Jan-Pieter 
Published: February 2022

AbstractActively involving the network during treatment, as recommended in Autism Spectrum Condition (ASC) guidelines, can be facilitated with the Network in Action-Questionnaire (NiA-Q), which identifies the current and potential sources of social support. The aims of this study were to (1) examine the factor structure of the NiA-Q and (2) to explore the self- and proxy-report on the social network. Before the start of treatment in a mental health institution, 193 adults with an ASC diagnosis and 84 proxies completed the NiA-Q. Factor analysis showed two factors: positive social support and interpersonal distress. Self- and proxy-report on the NiA-Q did not differ for most variables, except for social network wishes. The NiA-Q provides a basis for network involvement and strengthening.
Orthogonal Iterations on Companion-Like Pencils
Authors: Bevilacqua R. , Del Corso G. M. , Gemignani L. 
Published: February 2022

AbstractWe present a class of fast subspace algorithms based on orthogonal iterations for structured matrices/pencils that can be expressed as small rank perturbations of unitary matrices. The representation of the matrix by means of a new data-sparse factorization—named LFR factorization—using orthogonal Hessenberg matrices is at the core of these algorithms. The factorization can be computed at the cost of$$O(n k^2)$$O(nk2)arithmetic operations, wherenandkare the sizes of the matrix and the small rank perturbation, respectively. At the same cost from the LFR format we can easily obtain suitable QR and RQ factorizations where the orthogonal factor Q is a product of orthogonal Hessenberg matrices and the upper triangular factor R is again given into the LFR format. The orthogonal iteration reduces to a hopping game where Givens plane rotations are moved from one side to the other side of these two factors. The resulting new algorithms approximate an invariant subspace of sizesassociated with a set ofsleading or trailing eigenvalues using onlyO(nks) operations per iteration. The number of iterations required to reach an invariant subspace depends linearly on the ratio$$|\lambda _{s+1}|/|\lambda _s|$$|λs+1|/|λs|. Numerical experiments confirm the effectiveness of our adaptations.
From waste incineration by-products to functional materials: a “Chimie douce” route to VOCs mineral adsorbents
Authors: Corbin Alexis , Guichaoua Lise , Baradari Hiva , Gueneau Flavien , Chaucherie Xavier , Gilardin Bruno , Gosset Thierry , Boissière Cédric , Nicole Lionel , Sanchez Clément 
Published: February 2022

AbstractOne of today’s major world challenges is the accumulation and the storage of tens of millions of tons per year of final materials resulting from the incineration of domestic and industrial waste. This raises the question of the recycling of these “raw materials”, while making allowance for environmental, economic, social and public health aspects. Our strategy targets the incorporation of waste incineration by-products in a totally circular economy. We propose an innovative process combining templated sol–gel growth of an inorganic or hybrid silica-based network with a solubilized fraction of bottom ash coming from the combustion of industrial and household wastes. The resulting materials engineered via aerosol processing demonstrate maximum adsorption capacity of model pollutant compounds (1-2 dichlorobenzene) competitive with activated carbons currently used in modern incineration plants. We believe that they have the potential to replace conventional activated carbon commonly used in incineration plants, enabling the first step of the long road of recycling final waste.
Enhancing pedestrian evacuation routes during flood events
Authors: Musolino Giovanni , Ahmadian Reza , Xia Junqiang 
Published: February 2022

AbstractThe increasing rate of anthropic activities in flood-prone areas and the effects of climate change are aggravating the dangers posed by floods to people. One of the main reasons for fatality during flood events is walking through floodwaters. Although authorities strongly advise against walking in flood waters, evacuations or the accessing of flooded areas by emergency services might be necessary. This research proposes a novel approach to increasing resilience by retrofitting existing infrastructures to enhance evacuation and access routes by reducing flood hazard rate based on flood and pedestrian characteristics. The methodology was applied to flash floods in two case studies in the UK, namely Boscastle and Borth, highlighting that retrofitting small regions of the existing roads and pathways to reduce flood hazard can enhance people’s safety during the evacuation, and hence provides a solution to improve the resilience of the existing environment.
Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies
Authors: Yang Zhihao , Purba Fredrick Dermawan , Shafie Asrul Akmal , Igarashi Ataru , Wong Eliza Lai-Yi , Lam Hilton , Van Minh Hoang , Lin Hsiang-Wen , Ahn Jeonghoon , Pattanaphesaj Juntana , Jo Min-Woo , Mai Vu Quynh , Busschbach Jan , Luo Nan , Jiang Jie 
Published: February 2022

Abstract
Introduction
Many countries have established their own EQ-5D value sets proceeding on the basis that health preferences differ among countries/populations. So far, published studies focused on comparing value set using TTO data. This study aims to compare the health preferences among 11 Asian populations using the DCE data collected in their EQ-5D-5L valuation studies.

Methods
In the EQ-VT protocol, 196 pairs of EQ-5D-5L health states were valued by a general population sample using DCE method for all studies. DCE data were obtained from the study PI. To understand how the health preferences are different/similar with each other, the following analyses were done: (1) the statistical difference between the coefficients; (2) the relative importance of the five EQ-5D dimensions; (3) the relative importance of the response levels.

Results
The number of statistically differed coefficients between two studies ranged from 2 to 16 (mean: 9.3), out of 20 main effects coefficients. For the relative importance, there is not a universal preference pattern that fits all studies, but with some common characteristics, e.g. mobility is considered the most important; the relative importance of levels are approximately 20% for level 2, 30% for level 3, 70% for level 4 for all studies.

Discussion
Following a standardized study protocol, there are still considerable differences in the modeling and relative importance results in the EQ-5D-5L DCE data among 11 Asian studies. These findings advocate the use of local value set for calculating health state utility.
Mitigating Intergroup Conflict: Effectiveness of Qualifying Subjective Justice Views as an Intervention Technique in Comparison to Empathy Induction
Authors: Sasse Julia , Nazlic Tanja , Alrich Katja , Frey Dieter , Baumert Anna 
Published: February 2022

AbstractIntergroup conflicts can be triggered and perpetuated by collective perceptions of injustice. In two experiments, we applied the qualifying of subjective justice views, a justice-focused intervention initially introduced to resolve interpersonal conflicts, and evaluated whether it can mitigate intergroup conflicts. This intervention included explicating opposing justice perceptions, explaining the dilemma structure of justice conflicts, and emphasizing that each conflict party applies different justice standards in different situations. In a realistic conflict setting, among advantaged group members, the intervention enhanced the willingness to pay monetary concessions to the out-group. This effect was mediated through an enhanced understanding of the justice dilemma (Study 2) and legitimacy judgments of the out-group’s justice claim (Studies 1 and 2). Furthermore, effects of the justice-focused intervention were compared to those of empathy induction as a benchmark to evaluate the effectiveness. The comparison provided additional evidence for the effectiveness of the justice-focused intervention to mitigate intergroup conflicts.
A framework for multi-core schedulability analysis accounting for resource stress and sensitivity
Authors: Davis Robert I. , Griffin David , Bate Iain 
Published: February 2022

AbstractTiming verification of multi-core systems is complicated by contention for shared hardware resources between co-running tasks on different cores. This paper introduces the Multi-core Resource Stress and Sensitivity (MRSS) task model that characterizes how much stress each task places on resources and how much it is sensitive to such resource stress. This model facilitates a separation of concerns, thus retaining the advantages of the traditional two-step approach to timing verification (i.e. timing analysis followed by schedulability analysis). Response time analysis is derived for the MRSS task model, providing efficient context-dependent and context independent schedulability tests for both fixed priority preemptive and fixed priority non-preemptive scheduling. Dominance relations are derived between the tests, along with complexity results, and proofs of optimal priority assignment policies. The MRSS task model is underpinned by a proof-of-concept industrial case study. The problem of task allocation is considered in the context of the MRSS task model, with Simulated Annealing shown to provide an effective solution.
Eugenol and carvacrol attenuate brain d-galactose-induced aging-related oxidative alterations in rats
Authors: El-Far Ali H. , Mohamed Hadeer H. , Elsabagh Doaa A. , Mohamed Shymaa A. , Noreldin Ahmed E. , Al Jaouni Soad K. , Alsenosy Abdelwahab A. 
Published: February 2022

AbstractAging represents the accumulation of progressive changes in a human being over time and can cover physical, psychological, and social changes. It is an oxidative stress-associated process that progresses with age. The antioxidant activity of either eugenol (EU) or carvacrol (CAR) for aging in rats induced by d-gal for 42 days was investigated in the current study using 10 and 20 mg of EU/kg/day/orally, while CAR was supplemented by 40 and 80 mg /kg/day/orally. Biochemical, mRNA expression, and histopathological assessments of brain samples evaluated the oxidative alterations induced by d-gal and the protective role of EU and CAR. Results showed that d-gal was causing oxidative alternation of the brain that was recognized via upregulation of p53 and p21 mRNA expression levels, as aging markers and Bax mRNA expression level, as an apoptotic marker. Also, the results observed alterations in the levels of biochemical markers as creatine phosphokinase (CPK) and triacylglycerol (TAG), besides, enhancement of brain antioxidant capacity. Finally, these results compared with the groups treated with EU and CAR to observe that the EU and CAR potentially attenuate these aging-related oxidative alterations in a dose-dependent manner. Finally, we can conclude that EU and CAR supplementations are considered promising natural protective compounds that could delay aging and maintain health.
CPU and GPU real-time filtering methods for dense surface metrology using general matrix to matrix multiplications
Authors: Usamentiaga R. 
Published: February 2022

AbstractFiltering is a required task in surface metrology for the identification of the components relevant for automated quality control. The calculation of real-time features about the surface is crucial to determining the mechanical and physical properties of the inspected product. The computation efficiency of the filtering operations is a major challenge in surface metrology, as current sensors provide massive volumes of data at very high acquisition rates. To overcome the challenges, this work presents different real-time filtering solutions comparing the performance on the CPU and on the GPU, using modern hardware. The proposed framework is focused on filtering techniques that can be expressed using a finite impulse response (FIR) kernel that includes the Gaussian kernel, the most common filtering technique recommended by ISO and ASME standards. This research work proposes variations of the double FIFO and double circular filters. The filters are transformed into a series of general matrix to matrix multiplications, which can be run extremely efficiently on different architectures. The proposed filtering approach provides superior performance compared with previous works. Additionally, tests are carried out to quantify the performance of the GPU in terms of data transfer and computation capabilities in order to diminish the penalty imposed by data transfer from main memory to the GPU in real-time operations. Based on the results, an efficient batch filtering technique is proposed that can be run on the GPU faster than the CPU even for small profile and kernel sizes, offloading this task from the host CPU for optimal system and application response.