bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of time series models using sparse Takagi–Sugeno fuzzy systems with reduced structure
Authors: Wiktorowicz Krzysztof , Krzeszowski Tomasz 
Published: January 2022

AbstractSimplifying fuzzy models, including those for predicting time series, is an important issue in terms of their interpretation and implementation. This simplification can involve both the number of inference rules (i.e., structure) and the number of parameters. This paper proposes novel hybrid methods for time series prediction that utilize Takagi–Sugeno fuzzy systems with reduced structure. The fuzzy sets are obtained using a global optimization algorithm (particle swarm optimization, simulated annealing, genetic algorithm, or pattern search). The polynomials are determined by elastic net regression, which is a sparse regression. The simplification is based on reducing the number of polynomial parameters in the then-part by using sparse regression and removing unnecessary rules by using labels. A new quality criterion is proposed to express a compromise between the model accuracy and its simplification. The experimental results show that the proposed methods can improve a fuzzy model while simplifying its structure.
Complex Pathways Towards Emergent Pastoral Settlements: New Research on the Bronze Age Xindian Culture of Northwest China
Authors: Jaffe Yitzchak , Hein Anke , Womack Andrew , Brunson Katherine , d’Alpoim Guedes Jade , Guo Rongzhen , Zhou Jing , Ko Jada , Wu Xiaohong , Wang Hui , Li Shuicheng , Flad Rowan 
Published: January 2022

AbstractThe Xindian culture of northwest China has been seen as a prototypical example of a transition toward pastoralism, resulting in part from environmental changes that started around 4000 years ago. To date, there has been little available residential data to document how and whether subsistence strategies and community organization in northwest China changed following or in association with documented environmental changes. The Tao River Archaeology Project is a collaborative effort aimed at gathering robust archaeological information to solidify our baseline understanding of economic, technological, and social practices in the third through early first millennia BC. Here we present data from two Xindian culture residential sites, and propose that rather than a total transition to nomadic pastoralism—as it is often reconstructed—the Xindian culture reflects a prolonged period of complex transition in cultural traditions and subsistence practices. In fact, communities maintained elements of earlier cultivation and animal-foddering systems, selectively incorporating new plants and animals into their repertoire. These locally-specific strategies were employed to negotiate ever-changing environmental and social conditions in the region of developing ‘proto-Silk Road’ interregional interactions.
The optimal spacing interval between principal shelterbelts of the farm-shelter forest network
Authors: Sun Qinming , Zheng Bo , Liu Tong , Zhu Lekui , Hao Xiaoran , Han Zhiquan 
Published: January 2022

AbstractThe farm-shelter forest network is a complex grid protection system, with a windbreak that is distinctly different from that of the single shelterbelt. We selected the farm-shelter forest network of a jujube field in the Tarim Basin of northwest China and used a combination of field measurements and wind tunnel tests to determine the optimal spacing interval between principal shelterbelts. The wind speed reductive curve of the farm-shelter forest network showed a gradual wind speed tendency to stability. Therefore, a model was established based on the energy transfer balance between the upper and the lower airflows for a steady wind speed. The prediction error of the model was found to be < 1%. The model results indicated that increasing the spacing interval between principal shelterbelts from 10 to 20 H, where H is the shelterbelt height, maintained more than 70% of the windbreak effect of the farm-shelter forest network. If the spacing interval between principal shelterbelts were to be increased from 10 to 20 H, the jujube planting area would be increased by 0.54%. Therefore, a thorough consideration of the windbreak effect of each shelterbelt, the synergistic effects of shelterbelts, the windbreak effects of tall crops, and the effects of temperature and humidity in farm-shelter forest networks indicates that increasing the spacing interval will not only maintain the windbreak effect, but it will also reduce the side effects of shelterbelts, increase the planting area, favor mechanized operation, and improve planting efficiency.
Uncertainty and sensitivity analyses of operational errors in air handling units and unexpected user behavior for energy efficiency and thermal comfort
Authors: Lauss Lukas , Meier Andreas , Auer Thomas 
Published: January 2022

Abstract
Resource scarcity and anthropogenic climate change require the reduction of performance gaps in existing buildings. In addition to unexpected user behavior, performance gaps are primarily caused by the technical gap due to operational errors in building technology. The main objective of this paper is to quantify model input uncertainty incorporating uncertain boundary conditions in terms of operational errors using thermo-dynamic building performance simulations and to identify the most relevant input parameters for the performance gaps in air conditioning systems by means of sensitivity analyses. Model input uncertainty is stochastically determined using Monte-Carlo Simulations to calculate the target values “primary energy demand” as well as “over- and under-temperature degree hours” for an office building. Selected parameters are simulated in a specific uncertainty and sensitivity analyses using the Sobol’ and Jansen estimators, which distinguish between a direct influence on the target variables and interactions between the parameters. The methodology requires a selection process, which is carried out as part of relative uncertainty and relative sensitivity analyses. Furthermore, the operational errors are compared with construction factors as well as building physics inputs and design parameters for building technology systems to show their reciprocal effects as part of a comprehensive investigation. The main findings of this paper are that operational errors in air conditioning systems play an essential role in decreasing energy efficiency and thermal comfort, but do not warrant the significance of certain construction factors as well as setpoints in building technology. Moreover, the impact of operational errors on thermal overheating of the building investigated is minor compared to other targets that cause greater model input uncertainty.
Differential Brain Perfusion Changes Following Two Mind–Body Interventions for Fibromyalgia Patients: an Arterial Spin Labelling fMRI Study
Authors: Medina Sonia , O’Daly Owen G. , Howard Matthew A. , Feliu-Soler Albert , Luciano Juan V. 
Published: January 2022

AbstractObjectivesFurther mechanistic insight on mind–body techniques for fibromyalgia (FMS) is needed. Arterial spin labelling (ASL) imaging can capture changes in regional cerebral blood flow (rCBF) that relate to spontaneous pain.MethodsWe recruited FMS patients undergoing either mindfulness-based stress reduction training (MBSR,n = 14) or a psychoeducational programme (FibroQoL,n = 18), and a control FMS group with no add-on treatment (n = 14). We acquired whole-brain rCBF maps and self-report measures at baseline and following treatment and explored interaction effects in brain perfusion between the treatment group and session with a focus on the amygdala, the insula and the anterior cingulate cortex (ACC).ResultsWe identified a significant interaction effect in the amygdala, which corresponded with rCBF decreases following FibroQoL specifically. At baseline, rCBF in the amygdala for the FibroQoL group correlated with pain catastrophizing and anxiety scores, but not after treatment, suggesting a decoupling between activity in the amygdala and negative emotional symptoms of FMS as a consequence of treatment. Baseline rCBF correlated positively with pain symptoms in the ACC and the anterior insula across all patients; moreover, the correlation between rCBF changes post intervention in the insula and pain improvement was negative for both treatments and significantly different from the control group. We suggest that there is disruption of the typical relationship between clinical pain and activity as a product of these two nonpharmacological therapies.ConclusionsWe have demonstrated that different mind-to-body treatments correspond to differential changes in clinical symptoms and brain activity patterns, which encourages future research investigating predictors of treatment response.Trial Registration NCT02561416.
Comparative geomorphometric approach to understand the hydrological behaviour and identification of the Erosion prone areas of a coastal watershed using RS and GIS tools
Authors: Rautela Kuldeep Singh , Kumar Mohit , Khajuria Varun , Alam M. A. 
Published: January 2022

AbstractAssessment of the geomorphometric parameters using Remote Sensing (RS) and Geographic Information System (GIS) tools forms an important part in routing the runoff and other hydrological processes. The current study uses a geospatial model based on geomorphometric parameters for the categorization of surface runoff and identification of the erosion-prone areas in the watershed of the Kuttiyadi River. The 4th order Kuttiyadi river is dominated by a dendritic to semi-dendritic drainage pattern in the subwatersheds. The linear aspect of the subwatersheds indicates towards the presence of permeable surface and subsurface materials with uniform lithology. The aerial and relief aspects of the subwatersheds shows fine drainage texture, gentle slopes, delayed peak flow, flatter hydrograph, and large concentration time which shows that subwatersheds are quite capable of managing flash floods during storm events. The estimated values of surface runoff (Q) and sediment production rate (SPR) are range from 2.13 to 32.88 km2-cm/km2 and 0.0004–0.017 Ha-m/100km2/year respectively and suggest that Subwatershed 1 (SW1) will generate more surface runoff and is prone to soil erosion followed by subwatershed 2 (SW2) in comparison to other subwatersheds. This paper aims to fill the knowledge gap regarding categorization of flow and erosion dynamics in a coastal river watershed. We believe that our work may work help in providing the crucial information for decision-makers and policymakers responsible for establishing suitable policies and sustainable land use practices for the watershed.
The Relationship Between Fear of COVID-19 and Depression, Anxiety,	and Stress
Authors: Erbiçer Eyüp Sabır , Metin Ahmet , Çetinkaya Ali , Şen Sedat 
Published: January 2022

Abstract. The COVID-19 pandemic has had significant effects on public health. Previous studies showed that the fear of COVID-19 was positively correlated with depression, anxiety, and stress. This study aims to compile and meta-analyze the relationship between fear of COVID-19 and depression, anxiety, and stress among the general population. The studies published between March 2020 and June 2021 were scanned from various databases (Google Scholar, PubMed, Web of Science [ISI], and SCOPUS). As a result of the literature search, 746 studies were reached, 88 studies were found suitable, and 21 met the inclusion criteria. Comprehensive Meta-Analysis (CMA Version 3.0) and metafor package in R were used for analyses. A strong relationship was observed between the fear of COVID-19 and anxiety ( r = .55, p < .001); there were moderate relationships between the fear of COVID-19 and depression ( r = .34, p < .001) and stress ( r = .44, p < .001). All these relationships were significant. The results showed that the relationships between the fear of COVID-19 and depression, anxiety, and stress had a high level of heterogeneity. Meta-regression analyses revealed that the average of the sample age was a significant predictor of the relationship between fear of COVID-19 and anxiety. However, other covariates (female proportion and culture) were not statistically significant for the relationship between fear of COVID-19 and anxiety. None of these covariates was significant predictors of the relationship between fear of COVID-19 with depression and stress. Although the current meta-analysis has some limitations, the results revealed that the fear of COVID-19 is associated with mental health problems such as depression, anxiety, and stress.
OSPREI: A Coupled Approach to Modeling CME‐Driven Space Weather With Automatically Generated, User‐Friendly Outputs
Authors: Kay C. , Mays M. L. , Collado‐Vega Y. M. 
Published: January 2022

AbstractCoronal mass ejections (CMEs) drive space weather activity at Earth and throughout the solar system. Current CME‐related space weather predictions rely on information reconstructed from coronagraphs, sometimes from only a single viewpoint, to drive a simple interplanetary propagation model, which only gives the arrival time or limited additional information. We present the coupling of three established models into OSPREI (Open Solar Physics Rapid Ensemble Information), a new tool that describes Sun‐to‐Earth CME behavior, including the location, orientation, size, shape, speed, arrival time, and internal thermal and magnetic properties, on the timescale needed for forecasts. First, Forecasting a CME's Altered Trajectory (ForeCAT) describes the trajectory that a CME takes through the solar corona. Second, ANother Type of Ensemble Arrival Time Results simulates the propagation, including expansion and deformation, of a CME in interplanetary space and determines the evolution of internal properties via conservation laws. Finally, ForeCAT In situ Data Observer produces in situ profiles for a CME's interaction with a synthetic spacecraft. OSPREI includes ensemble modeling by varying each input parameter to probe any uncertainty in their values, yielding probabilities for all outputs. Standardized visualizations are automatically generated, providing easily accessible, essential information for space weather forecasting. We show OSPREI results for a CMEs observed in the corona on 22 April and 09 May 2021. We approach these CME as a forecasting proof‐of‐concept, using information analogous to what would be available in real time rather than fine‐tuning input parameters to achieve a best fit for a detailed scientific study. The OSPREI “prediction” shows good agreement with the arrival time and in situ properties.
Guanidyl-implanted UiO-66 as an efficient catalyst for the enhanced conversion of carbon dioxide into cyclic carbonates
Authors: Gao Aijia , Li Fangfang , Xu Zhi , Ji Changchun , Gu Jing , Zhou Ying-Hua 
Published: January 2022

The guanidyl-modified UiO-66 exhibited great activity for epoxide-CO2 cycloaddition with Bu4NBr cocatalyst, attributed to the synergistic effect of guanidyl groups as hydrogen-bond donors and Zr centers as Lewis-acidic sites.
Research on image sentiment analysis technology based on sparse representation
Authors: Jin Xiaofang , Wu Yinan , Xu Ying , Sun Chang 
Published: January 2022

AbstractMany methods based on deep learning have achieved amazing results in image sentiment analysis. However, these existing methods usually pursue high accuracy, ignoring the effect on model training efficiency. Considering that when faced with large‐scale sentiment analysis tasks, the high accuracy rate often requires long experimental time. In view of the weakness, a method that can greatly improve experimental efficiency with only small fluctuations in model accuracy is proposed, and singular value decomposition (SVD) is used to find the sparse feature of the image, which are sparse vectors with strong discriminativeness and effectively reduce redundant information; The authors propose the Fast Dictionary Learning algorithm (FDL), which can combine neural network with sparse representation. This method is based on K‐Singular Value Decomposition, and through iteration, it can effectively reduce the calculation time and greatly improve the training efficiency in the case of small fluctuation of accuracy. Moreover, the effectiveness of the proposed method is evaluated on the FER2013 dataset. By adding singular value decomposition, the accuracy of the test suite increased by 0.53%, and the total experiment time was shortened by 8.2%; Fast Dictionary Learning shortened the total experiment time by 36.3%.
Efficacy of Gamma Knife Radiosurgery in Refractory Obsessive-Compulsive Disorder: An Indian Experience
Authors: Pattankar Sanjeev , Sankhe Milind , Chavda Kersi 
Published: January 2022

AbstractBackground Obsessive-compulsive disorder (OCD) is a chronic debilitating psychiatric condition with adverse impact on patient's sociooccupational health. Refractoriness to pharmacotherapy and psychotherapy is not uncommon. Gamma Knife radiosurgery (GKRS) is the comprehensively used and reviewed treatment modality in refractory OCD worldwide. In India, the past two decades of increasing GKRS availability has failed to create the necessary local awareness of its usefulness in refractory OCD. Limited native literature deepens the problem.Objective To analyze our experience with GKRS in refractory OCD, and report the safety and efficacy/long-term outcome in patients using the Yale–Brown Obsessive-Compulsive Scale (Y-BOCS).Materials and Methods A retrospective review of patients receiving GKRS for refractory OCD between 2000 and 2020 was carried out. Case files of the eligible (n = 9) patients were reviewed for clinical, radiotherapeutic, and outcome data. Additionally, patients were contacted via telephone to enquire about their experiences, and to obtain retroactive consent for GKRS in June 2021. Information obtained was collated, computed, and analyzed.Results Male-to-female sex ratio was 8:1. Mean age at the time of GKRS and mean duration of OCD prior to GKRS was 30.1 ± 9.4 and 10.2 ± 5.8 years, respectively. Mean baseline Y-BOCS score was 29.6 ± 4.7. Our first patient received cingulotomy, while the rest underwent anterior capsulotomy. Median margin dose (50% isodose) was 70 Gy. Also, 23.8 ± 7.7 was the mean Y-BOCS score at the last follow-up (median = 30 months). Overall, 44.4% patients showed full/partial response (≥25% reduction in Y-BOCS score) at the last follow-up. In anterior capsulotomy (eight patients), patients with moderate/severe OCD showed better response (4/5 responders) than those with extreme OCD (0/3 responders). Single case of cingulotomy resulted in no response (<25% reduction in Y-BOCS score). No adverse radiation effects were noted. Also, 55.6% patients gave retroactive consent telephonically.Conclusion GKRS is a safe and effective noninvasive treatment modality for refractory OCD. Ventral anterior capsule is the preferred target. Maximum radiation doses of 120 to 160 Gy are well tolerated. Extremely severe OCD cases fared poorer. Proper awareness about the availability and efficacy of GKRS in refractory OCD is required in India.
Stroke due to Percheron Artery Occlusion: Description of a Consecutive Case Series from Southern Portugal
Authors: Macedo Miguel , Reis Diana , Cerullo Giovanni , Florêncio André , Frias Catarina , Aleluia Leonor , Drago José , Nzwalo Hipólito , Fidalgo Ana P. 
Published: January 2022

Abstract
The artery of Percheron (AOP) is an abnormal variant of the arterial supply of the thalamus. Stroke caused by AOP occlusion is seldom reported. AOP leads to bilateral thalamic and rostral midbrain infarct presenting with unspecific manifestations. There are few descriptions of case series of stroke caused by AOP. We sought to review the clinicoradiological characteristics of AOP infarction from Algarve, Southern Portugal. Eight consecutive cases were retrospectively identified by searching the electronic clinical charts, as well as the stroke Unit database (2015–2020). Sociodemographic (age and gender) and clinicoradiological characteristics (etiological classification, admission severity, manifestations, and short- and long-term prognoses) were retrieved. The corresponding frequency of AOP infarction was 0.17% (95% confidence interval: 0.05–0.28). The mean age was 67.1 (range: 60–80) years. The range of stroke severity evaluated assessed by the National Institute of Health Stroke Scale ranged from 5 to 23 (median = 7.5). None of the patients receive acute ischemic stroke reperfusion treatment. AOP patterns were isolated bilateral paramedian thalamic (n = 2), bilateral paramedian and anterior thalamic (n = 2), and bilateral paramedian thalamic with rostral midbrain (n = 4). Two patients (20%) died on the short term (30 days). At hospital discharge, six patients had functional disability of ≤2 on the modified Rankin scale. In the follow-up at 6 months, half (n = 3) of the survivors had persistent hypersomnia and two had vascular dementia. Stroke from AOP presents with variable clinical and radiological presentations and patients do not receive alteplase. The short-term survivor and the long-term functional independency can be compromised after AOS infarct.
Harnessing soil bacteria and their benefits for sustainable agriculture with changing climate
Authors: Mattoo Rohini , Gowda Malali 
Published: January 2022

AbstractSoil bacteria contribute effectively to key biogeochemical reactions in the soil rhizosphere. They support plants in the rhizosphere to adapt quickly to changing climatic conditions. Differences in root exudates, trace gas chemistry, chemical compounds and nutrient exchange contribute to the recruitment of diverse microorganisms by plant roots. This review highlights the importance of characterizing novel microorganisms to support sustainable agricultural practices. We discuss about tools for characterizing microbes and agricultural practices that influence microbial diversity, and have reviewed how microorganisms may have important but unidentified roles in climate change. Beneficial microbes could improve the turnover of carbon, nitrogen, phosphorus and other minerals thereby avoiding the use of chemical inputs, which are not only causing serious environmental harm but also pose danger to human and animal health.
A new type of CGO solutions and its applications in corner scattering
Authors: Xiao Jingni 
Published: January 2022

Abstract
We consider corner scattering for the operator ∇ ⋅ γ(x)∇ + k
2
ρ(x) in

R

2

, with γ a positive definite symmetric matrix and ρ a positive scalar function. A corner is referred to one that is on the boundary of the (compact) support of γ(x) − I or ρ(x) − 1, where I stands for the identity matrix. We assume that γ is a scalar function in a small neighborhood of the corner. We show that any admissible incident field will be scattered by such corners, which are allowed to be concave. Moreover, we provide a brief discussion on the existence of non-scattering waves when γ − I has a jump across the corner. In order to prove the results, we construct a new type of complex geometric optics solutions.
News from the BIPM laboratories—2021
Authors: Gressier Vincent , Wielgosz Robert , Stock Michael , Tavella Patrizia , Milton Martin 
Published: January 2022

Abstract
In order to fulfil its mission to ensure and promote the global comparability of measurements, the BIPM operates laboratories in the fields of physical metrology, time, ionizing radiation and chemistry. These laboratories act as centres for scientific and technical collaboration between Member States providing capabilities for international measurement comparisons on a shared cost basis. They coordinate international comparisons of national measurement standards agreed to be of the highest priority, and they establish and maintain appropriate reference standards for use as the basis of key international comparisons at the highest level and provide selected calibrations from them.