bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biological and psychological early prognostic factors in complex regional pain syndrome: A systematic review
Authors: Louis Marc‐Henri , Meyer Caroline , Legrain Valéry , Berquin Anne 
Published: December 2022

AbstractBackground and objectiveSeveral risk factors for the onset of CRPS have been found, but evidence for prognostic factors associated with the progression of this condition remains sparse. However, the detection and management of these factors are necessary to design secondary prevention strategies. The objective of this systematic review was to identify prognostic factors in adult individuals with early CRPS.Database and data treatmentPubMed, Embase, PsycINFO, Cochrane Library and Scopus, were published between January 1990 and November 2021. Two independent investigators selected cross‐sectional and longitudinal studies looking at early (<12 weeks from onset) prognostic factors for pain, CRPS severity score, disability, return to work, or quality of life. The quality in prognostic studies (QUIPS) tool was used to assess the risk of bias. A qualitative meta‐synthesis was performed.ResultsOut of 4652 different articles, six studies met the inclusion criteria. We identified 21 early factors associated with a poorer prognosis in type I CRPS. We found moderate evidence to support six of them: higher pain intensity, self‐rated disability, anxiety, pain‐related fear, being a female and high‐energy triggering event. Only two studies had an overall low risk of bias.ConclusionsThis study showed an important lack of information on early prognostic factors in CRPS. Only one article investigated the link with psychological characteristics. There is a crucial need for larger studies, with a well‐defined population using validated measures.SignificanceThis systematic review highlights the lack of knowledge about early prognostic factors in CRPS. A few putative prognostic factors were identified. Most of the moderate evidence is related to a single cohort. Future research is required to find out which patients are vulnerable to chronification.
An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks
Authors: Kingston Roberts Michaelraj , Thangavel Jayapratha 
Published: December 2022

AbstractMaintaining high residual energy is one of the major challenges of wireless sensor networks (WSNs), where nodes are moving at a random speed. In addition, data availability is also a major concern that must be maintained constantly during the packet transmission phase. In this research work, a Residual‐Energy‐Based Data Availability Approach (REDAA) for WSNs is developed to increase the network lifetime by focusing on the selection of stable routing paths and cluster heads. During the first phase of the work, the network model, and assumptions for route creations are adopted to effectively initialize the data transmission phase. During the second phase, a cluster was formed, and two categories of cluster heads were created based on quadrature low energy adaptive clustering hierarchy (Q‐LEACH) and multi‐hop low energy adaptive clustering (MH‐LEACH) algorithms to formalize the route and to make data available whenever requested. During the third phase, energy conservation routes are initialized, and data gathering is improved through slot‐based code division multiple access schemes. Simulation results demonstrate that the proposed REDAA approach can achieve an improvement in terms of throughput and energy consumption by 37% and 70% respectively when compared to MH‐LEACH approach, whereas in comparison to Q‐LEACH approach, these improvements are found to be 30% and 73% respectively.
3D‐MASNet: 3D mixed‐scale asymmetric convolutional segmentation network for 6‐month‐old infant brain MR images
Authors: Zeng Zilong , Zhao Tengda , Sun Lianglong , Zhang Yihe , Xia Mingrui , Liao Xuhong , Zhang Jiaying , Shen Dinggang , Wang Li , He Yong 
Published: December 2022

AbstractPrecise segmentation of infant brain magnetic resonance (MR) images into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) are essential for studying neuroanatomical hallmarks of early brain development. However, for 6‐month‐old infants, the extremely low‐intensity contrast caused by inherent myelination hinders accurate tissue segmentation. Existing convolutional neural networks (CNNs) based segmentation models for this task generally employ single‐scale symmetric convolutions, which are inefficient for encoding the isointense tissue boundaries in baby brain images. Here, we propose a 3D mixed‐scale asymmetric convolutional segmentation network (3D‐MASNet) framework for brain MR images of 6‐month‐old infants. We replaced the traditional convolutional layer of an existing to‐be‐trained network with a 3D mixed‐scale convolution block consisting of asymmetric kernels (MixACB) during the training phase and then equivalently converted it into the original network. Five canonical CNN segmentation models were evaluated using both T1‐ and T2‐weighted images of 23 6‐month‐old infants from iSeg‐2019 datasets, which contained manual labels as ground truth. MixACB significantly enhanced the average accuracy of all five models and obtained the most considerable improvement in the fully convolutional network model (CC‐3D‐FCN) and the highest performance in the Dense U‐Net model. This approach further obtained Dice coefficient accuracies of 0.931, 0.912, and 0.961 in GM, WM, and CSF, respectively, ranking first among 30 teams on the validation dataset of the iSeg‐2019 Grand Challenge. Thus, the proposed 3D‐MASNet can improve the accuracy of existing CNNs‐based segmentation models as a plug‐and‐play solution that offers a promising technique for future infant brain MRI studies.
Forecasting the Asian stock market volatility: Evidence from WTI and INE oil futures
Authors: Ghani Maria , Ma Feng , Huang Dengshi 
Published: December 2022

AbstractThis study investigates whether China's crude oil futures (INE) and West Texas Intermediate (WTI) markets hold valuable information for estimating the realized volatility of seven Asian stock markets. This study has several notable findings. First, China's oil futures can trigger forecast accuracy for three equity indices (Nikkei 225, NSEI, and FT Straits Times), whereas WTI helps forecast the volatility of the two indices (KSE 100 and KOSPI). Second, comparing China's crude oil futures with WTI's crude oil futures, we find that the former could be an effective indicator for all seven Asian stock markets during a high‐volatility period, while WTI information is helpful in forecasting the volatility of the KSE 100, NSEI, and FT Strait Times during the low‐volatility period. Further, information of both oil futures is ineffective for the Hang Seng and SSEC equity indices. Our results are robust in several robustness checks, including alternative evaluation methods, recursive window approach, and alternative realized measures, even during the COVID‐19 pandemic.
Influence of multiple structural parameters on buffer performance of a thin‐walled circular tube based on the coupling modeling technique
Authors: Jiang Kun , Lu Xinggan , Wang Hao 
Published: December 2022

AbstractPyrotechnic devices are widely used in the aerospace and defense industries. However, these devices generate high‐frequency and high‐amplitude shock responses during their use, compromising safe operation of the system. In this paper, the application of a thin‐walled circular tube as the energy absorber in pyrotechnic devices is investigated. To accurately predict the shock load and the buffer performance of the thin‐walled circular tube, a coupled model connecting the energetic material combustion and finite element simulation is established. The validity of the coupled model is verified by comparing with experiments. Then, the collapse mechanism of the thin‐walled circular tube is studied, and the influence of multiple structural parameters on its buffer performance is analyzed. The results show that the thin‐walled circular tube effectively reduces the shock overload. The maximum shock overload reduced from 572 612g to 11 204g in the studied case. The structural parameters of the thin‐walled circular tube mainly affect the deformation process and the maximum shock overload. The order of importance of structural parameters to the maximum shock overload is determined, among which the wall thickness has the most significant effect.
A localized Fourier collocation method for 2D and 3D elliptic partial differential equations: Theory and MATLAB code
Authors: Gu Yan , Fu Zhuojia , Golub Mikhail V. 
Published: December 2022

AbstractA localized Fourier collocation method is proposed for solving certain types of elliptic boundary value problems. The method first discretizes the entire domain into a set of overlapping small subdomains, and then in each of the subdomains, the unknown functions and their derivatives are approximated using the pseudo‐spectral Fourier collocation method. The key idea of the present method is to combine the merits of the quick convergence of the pseudo‐spectral method and the high sparsity of the localized discretization technique to yield a new framework that may be suitable for large‐scale simulations. The present method can be viewed as a competitive alternative for solving numerically large‐scale boundary value problems with complex‐shape geometries. Preliminary numerical experiments involving Poisson, Helmholtz, and modified‐Helmholtz equations in both two and three dimensions are presented to demonstrate the accuracy and efficiency of the proposed method.
Ultra‐low loss polyphenylene oxide‐based composites with negative thermal expansion fillers
Authors: Zhu Xiaotao , Fang Zeming , Yi Ying , Wang Zeru , Meng Yeqiao , Liu Qianfa , Wang Ke 
Published: December 2022

AbstractThe mismatch of coefficient of thermal expansion (CTE) of components has created numerous reliability issues in electronic packages. Incorporating inorganic fillers into polymer matrices has been proven to be an effective way to reduce the CTE, but properly balancing CTE with other key properties of the composites is still a challenge. In the current work, negative thermal expansion Zr2WP2O12 (ZWP) particles were prepared by a high‐temperature solid‐phase synthesis method. Polyphenylene oxide (PPO)‐based composites with different volume fractions (0, 10, 20, 30 vol%) of ZWP particles were prepared and their thermal expansion and dielectric properties were characterized. PPO/silica composites with the same volume fractions of silica were also prepared and characterized for comparison. With the content of filler increased from 0 to 30 vol%, the CTE of the PPO/ZWP composites reduced from 74.2 to 45.4 ppm/°C, which is more significant than that of the PPO/silica composites (48.0 ppm/°C with 30 vol% silica). Meanwhile, the dielectric loss of PPO/ZWP composites decreased significantly from 0.0024 (0 vol% ZWP) to 0.0018 (30 vol% ZWP) at 10 GHz, which is better than PPO/silica composites (0.0019 with 30 vol% Silica). The PPO/ZWP composites exhibit excellent comprehensive properties, which may be promising materials for high‐frequency applications in electronic packaging fields.
Network analysis of depression in prostate cancer patients: Implications for assessment and treatment
Authors: Sharpley Christopher F. , Christie David R. H. , Arnold Wayne M. , Bitsika Vicki 
Published: December 2022

AbstractObjectivesMany prostate cancer patients also suffer from depression, which can decrease their life satisfaction and also impede recovery from their cancer. This study described the network structure of depressive symptomatology in prostate cancer patients, with a view to providing suggestions for clinical interventions for depressed patients.MethodsUsing a cross‐sectional design, 555 prostate cancer patients completed the Patient Health Questionnaire‐9 (PHQ‐9).ResultsNetwork analysis and multidimensional scaling indicated that anhedonia was the most central symptom for these men, and that several sets of depression symptoms were closely associated with each other. These included anhedonia‐depressed mood; sleeping problems‐fatigue/lethargy; and suicidal ideation‐low self‐worth‐depressed mood. Other depression symptoms such as appetite problems, concentration problems, and motor problems, were less well‐related with the remainder of the network. Patients receiving treatment for reocurring prostate cancer (PCa) had significantly higher PHQ9 scores than patients undergoing their initial treatment, but no major differences in their network structures. Implications for clinical practice were derived from the relationships between individual depression symptoms and the overall depression network by examining node predictability.ConclusionsThe use of total depression scores on an inventory does not reflect the underlying network structure of depression in PCa patients. Identification and treatment of the central symptom of anhedonia in PCa patients suggests the need to adopt specific therapies that are focussed upon this symptom.
New results on sliding mode control for polynomial fuzzy singular systems with time‐varying delay
Authors: Feng Zhiguang , Yang Yang , Lam Hak‐Keung 
Published: December 2022

AbstractThis article focuses on the problem of sliding mode control (SMC) for polynomial fuzzy singular systems with the matched uncertainty, time‐varying delay and different control input matrices. An integral sliding surface with different control input matrices and polynomial matrices is established. The existence of the equivalent controller can be determined according to the given sum‐of‐squares conditions. By choosing an appropriate augmented Lyapunov–Krasovskii functional and utilizing a generalized free‐matrix‐based integral inequality, a less conservative admissibility condition of sliding mode dynamics is proposed in the form of sum‐of‐squares. It is noteworthy that due to the choice of augmented Lyapunov–Krasovskii functional, the traditional methods cannot transform the nonlinear terms in the admissibility condition of sliding mode dynamics into linear terms. Here, several inequalities are introduced to overcome this difficulty. Furthermore, the SMC law is proposed to ensure the reachability of the sliding surface. The simulation results show that the proposed method is less conservative and effective.
Synthesis and Rheological Properties of Polyacrylamide Nanospheres and SiO2/PAM Composite Nanospheres
Authors: Peiyao Qi , Shuo Wang , Ye Ju , Zhongli Tang , Jin Qu , Junping Zheng , Xiaofei Liu 
Published: December 2022

AbstractPolyacrylamide nanospheres are a kind of polymer material that can improve the development effect of oilfield water flooding and realize reservoir stimulation. However, due to its good water absorption, the strength cannot well meet the needs of practical production, and is forced to be limited to application on oil displacement. Therefore, in this paper, SiO2/PAM composite nanospheres were synthesized by the inverse microemulsion method to meet the needs of profile control and water shutoff in oilfields. The structure, oil displacement effect and rheological properties of polyacrylamide nanospheres and SiO2/PAM composite nanospheres were comparatively studied. The results show that both nanospheres are viscoelastic nanospheres. Since the elastic response is greater than the viscous response in SiO2/PAM composite nanospheres, and the polymer nanospheres do the opposite, there are significant differences in various rheological properties, such as variation of apparent viscosity with shear rate, creep recovery characteristics, viscoelasticity etc. This work provides a basis for the practical application of SiO2/PAM composite nanospheres in oilfields.
Adhesion of Polymer to TiO2 Particles Decreases Photocatalytic Activity of Polyelectrolyte Hydrogel Photocatalyst
Authors: Mansurov Renat R. , Pavlova Irina A. , Safronov Alexander P. 
Published: December 2022

AbstractA comparative study on the photocatalytic activity was done for TiO2/poly(acrylamide‐co‐potassium acrylate) composite hydrogels with varying content of potassium acrylate monomer units. The presence of the acrylate units led to the increase in the swelling ratio of hydrogel and to the enhancement of the diffusion of the methyl orange probe dye to the surface of the embedded TiO2 particles. However, the photocatalytic activity was not improved. Microcalorimetry data showed that while the enthalpy of polymer adhesion to the TiO2 particles surface was positive in the case of polyacrylamide and it became negative if acrylate units were included in the polymer network. Likely, the adhesion enhancement occurred due to the electrostatic interaction among acrylate monomer units and surface of TiO2 particles. As a result of polymer adhesion to the active surface of the catalyst particles was partly blocked and the photocatalytic activity of the composite hydrogel diminished.
Synthesis of Quinoline‐Morpholine‐Coupled 1,2,3‐Triazole Hybrids as In vitro EGFR inhibitors
Authors: Mamidala Annapurna , Bokkala Karthik , Thirukovela Narasimha Swamy , Sirassu Narsimha , Bandari Srinivas , Nukala Satheesh Kumar 
Published: December 2022

AbstractHerein we described the synthesis of some new quinoline‐morpholine coupled 1,2,3‐triazole hybrids (6 a–n) from 5‐chloroquinolin‐8‐ol using well known reactions like Mannich reaction, O‐propargylation, and finally copper (I) catalyzed azide‐alkyne cycloaddition (CuAAC). The structures of all newly synthesized hybrids were confirmed by 1H–NMR, 13C–NMR, and Mass spectra. All of them were screened for their in vitro cytotoxicity towards three human cancer cell lines including MCF‐7, A549 and HepG2 by MTT assay where four compounds (6 c, 6 j, 6 m and 6 n) exhibited more potency than the reference erlotinib against all the three cell lines. In vitro tyrosine kinase EGFR inhibition assay for the same four compounds revealed that 6 m has triple inhibiting power with IC50 value of 0.14 μM and 6 j has nearly double inhibiting power with IC50 value of 0.22 μM compared to erlotinib. Molecular docking studies with EGFR have shown that all the above four compounds have more binding energies (−9.09 kcal/mol to −9.96 kcal/mol) than that of erlotinib (‐7.69 kcal/mol). Finally, in silico pharmacokinetic profile was achieved using SWISS/ADME and pkCSM, where all the four compounds followed Lipinski rule, Veber rule, Egan rule and Muegge rule and the lipophilicity (ClogP) was found to be ranging from 2.98 to 3.69.
Design, Synthesis, Biological Evaluation and Molecular Dynamics Simulations Study of Genistein‐O‐1,3,5‐Triazine Derivatives as Multifunctional Anti‐Alzheimer Agents
Authors: Zou Jing‐Pei , Qian Jing‐Jing , Liu Shan‐Ming , Li Rui , Zhang Xiao‐Qing , Yang Shun , Liu Yu‐Wei , Liu Wei‐Wei , Ma Shao‐Jie , Shi Da‐Hua 
Published: December 2022

AbstractTwenty‐four genistein‐O‐1,3,5‐triazine derivatives were designed, synthesized and evaluated as multi‐functional anti‐Alzheimer agents. These compounds were confirmed by IR, NMR and HRMS and single‐crystal X‐ray diffraction studies. Most target compounds showed good inhibition and selectivity to acetylcholinesterase. Among these compounds, compound 4 e (7‐((4‐chloro‐6‐(diisobutylamino)‐1,3,5‐triazin‐2‐yl)oxy)‐5‐hydroxy‐3‐(4‐hydroxyphenyl)‐4H‐chromen‐4‐one) exhibited the strongest inhibition to acetylcholinesterase with IC50 of 0.034 μM, which was comparable with that of donepezil (IC50=0.037 μM). The enzyme kinetics studies showed that this compound was a kind of mixed type inhibitor. Molecular docking and molecular dynamics simulations study of this compound indicated that it could interact with the crucial amino acids present at the catalytic active site (CAS) and peripheral anionic site (PAS) of acetylcholinesterase and bind to acetylcholinesterase stably. Furthermore, this compound also showed terrific metal chelating abilities. ADMET characteristics implied that these compounds could possess the properties to become drug candidates. Thus, this compound may become a latent multifunctional anti‐Alzheimer agent.
Studies on Biosynthesis of Chiral Sulfoxides by Using P450 119 Peroxygenase and Its Mutants
Authors: Wang Qin , Jiang Xin‐Meng , Gao Yan‐Ping , Yin Li‐Ping , Wei Xiao‐Yao , Guo Kai , Gao Xiao‐Wei , Wang Li , Zhang Chun 
Published: December 2022

AbstractVarious alkyl‐aryl and heteroaromatic sulfides were catalyzed by P450 119 peroxygenase in the presence of TBHP. P450 119 mutants were used to improve the yield and enantioselectivity of the sulfoxidation. The P450 119 mutation at 153 was found to efficiently improve activity, specificity and enantioselectivity of the sulfoxidation of heteroaromatic sulfides up to 93 % yield and 57 % ee for the first time, meanwhile its thermal stability, kinetic parameters and molecular docking were studied. The experimental results provide a potential method for the biosynthesis of chiral sulfoxides, especially for asymmetric oxidation of heteroaromatic sulfides, by enduring evolution of thermal‐stable P450 119 peroxygenase.
Transformational Sustainability Entrepreneurship: Encouraging Students to Become Real Change Agents
Authors: Alcorta de Bronstein A. , Timm J. -M. 
Published: December 2022

AbstractEntrepreneurial Education needs to be transformed. Our seminar called Transformational Sustainability Entrepreneurship aims at meeting this need by guiding students to become change agents for tackling the grand societal challenges of our time. In this chapter, we explain the five fundamental aspects in which this seminar is designed for students’ transformational learning experience. The seminar itself is divided into three phases: Understanding, Creative Thinking, and Pitching with an overarching reflection process. We introduce the concept, which we have been using for four years at two different universities, for others to apply and use in their own teaching activities.
Coding Unplugged—A Guide to Introducing Coding and Robotics to South African Schools
Authors: Greyling Jean 
Published: December 2022

AbstractThe purpose of this paper is to serve as a practical guide to assist South African teachers in introducing coding and robotics to their learners. The main challenges that are faced are the lack of resources (computer laboratories) as well as trained teachers. The paper investigates the importance of introducing learners not only to coding, but also to computational thinking. As a way to empower teachers resources that could assist in this process are discussed. Furthermore, actual activities and exercises are introduced. The coding app TANKS is introduced as a powerful unplugged tool to introduce coding and computational thinking without the need for computers.
Studying Finland’s Cultural Diplomacy from World War II to the CSCE
Authors: Clerc Louis 
Published: December 2022

AbstractBetween 1945 and the Helsinki CSCE meeting in 1975, personalities and institutions in Finland’s government discussed the role of the state in the country’s international cultural relations, both in the frame of the Cold War and in the context of a rapidly changing welfare state. After a period of war, the reality of Finland’s opening up to the world could be seen in the emergence of new cultural forms, new movements of population, new economic activities, and a surge in international trade contacts. Behind these spontaneous changes, one could also discern the handiwork of a series of public institutions and personalities that worked to change and modernize Finland’s society and its position in the world. This book is an effort to understand what international cultural relations meant for Finland’s foreign policy managers, and to document the development of state activism in this domain during the first three decades of the Cold War.