Results 111 to 120 of about 2,881 (191)

Do schema modes predict outcome of cognitive behavioural therapy in patients with obsessive–compulsive disorder and anxiety disorders?

British Journal of Clinical Psychology, EarlyView.
Abstract Objectives Cognitive behavioural therapy (CBT) is the psychological treatment of choice for patients with obsessive–compulsive disorder (OCD) or an anxiety disorder. However, a substantial group (30–40%) does not profit sufficiently. Predictors of outcome inform us about how to adapt interventions for this group.
Manon Peeters, Boris van Passel, Nancy Peeters, Julie Krans   +3 more
wiley   +1 more source

Fuzzy energy management using a chaotic model to improve fuel consumption of fuel cell-battery hybrid fixed-wing UAVs operating under uncertainty control. [PDF]

Sci Rep
Rostami M, Habibi P, Farajollahi A.
europepmc   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

A next generation of the schema therapy model of personality pathology: A cross-cultural and international study protocol. [PDF]

PLoS One
Mamali FC, Rijkeboer M, Molenaar D, Rameckers SA, Panzeri M, Arntz A, Lee CW, Brockman R, Ho Tan D, Mozumder MK, Gayen TK, Dyakov D, Stabrouskaya Y, Gatam A, Lobanovich V, Kanavina S, Romanovich V, Andreevich OA, Tkhoryk N, Shabaikovich A, Dierckx E, Pauwels E, Eggermont K, Matos FR, Puléo Barela R, Frossard LQ, Lazarova IS, Peneva K, Katrandjieva A, St Lazarova A, Zhu Y, Lyu B, Liu Y, Li L, Qin H, Guo X, Hu X, Zhang S, Ma OYT, Tang ALY, Moeller SB, Arendt ITP, Bach B, Meline J, Tapia G, M'bailara K, Abdushelishvili K, Begiashvili A, Badrishvili N, Gvinianidze A, Akopashvili L, Khabazi I, Kopf-Beck J, Leithne C, Renner F, Egli S, Quaatz SM, Malogiannis IA, Giannoulis E, Simos G, Unoka Z, Simon L, Simon V, Munivenkatappa M, Sudhir PM, Kohli TK, Shrivastava A, Misra AA, Khanna A, Louis JP, Santoso NM, Shanti TI, Witarso LS, Hedayati M, Samimi A, Malekasgar S, Basile B, Krone I, Orupe A, Gecaite-Stonciene J, Pociunaite J, Renee Tan HJ, Chan E, Heimkumar V, Kadri N, Karroumi S, Chentaf FZ, Ezzahiri N, Rachidi H, Bouchebti S, Bouidar H, Hikmat W, Chroukate F, Ennaciri Z, Thimm JC, Lorentzen V, Michałowski JM, Popiel AE, Mącik D, Browarczyk WM, Céu Salvador MD, Păduraru AE, Semeniuc SE, Stroian PI, Șubredu I, Yaltonskaya A, Maryasova D, Titova O, Gegel N, Gorodentseva N, Skryabina M, Plichko A, Pavlova O, Prokaeva S, Malashchanka V, Michelle Neo HL, Stein DJ, Hawa W, Hartmann JP, Lee E, Song Y, Gómez-Juanes R, Calvete E, Cid J, Schmidt RE, Homan S, Sakulsriprasert C, Phukao D, Thawornwutichat R, Mamoon W, Chandraungs A, Supreeyaporn N, Bachrach N, Keulen-de Vos M, Lobbestael J, Dorrestijn E, Krans J, Yakin D, Baştak D, Taşlioğlu Sayiner AC, İnce B, Tasilaridis S, Ergelen M, Kennedy FC, Taylor CDJ, First MB, Lockwood G, Appenzeller Z, Norton AR, Seeley-Wait E, Abbott MJ, Allen KL, Hasan S, Morales Hernández SA, Sharaf AM, Ruths FA.   +155 more
europepmc   +1 more source

Cancer pain: current practice and emerging targets

British Journal of Pharmacology, EarlyView.
Cancer pain (CP) arises from a complex interplay between the tumour and its microenvironment. Many patients experience a mixed pain phenotype that encompasses nociceptive, neuropathic and neuroinflammatory mechanisms, and vary across tumour type and disease stage. Despite decades of intensive research, the mainstay of cancer pain treatment is still non‐
Yi Ye, Marcin Chwistek, Zhiting Gong, Vanessa Uzonwanne, Xiaojie Shi, Arpad Szallasi   +5 more
wiley   +1 more source

Time-Dependent Association Between Prehospital Blood Pressure and Outcomes in Acute Spontaneous Intracerebral Hemorrhage. [PDF]

Eur J Neurol
Lien CJ, Wang J, Chen CH, Weng TH, Tang SC, Tsai LK, Ko YC, Tu YK, Jeng JS, Hsieh MJ.   +9 more
europepmc   +1 more source

Physically Based Neural BRDF: A Framework for Physically Correct Material Reconstruction, Generation and Editing

Computer Graphics Forum, EarlyView.
We introduce the physically based neural BRDF, a novel continuous representation for material appearance based on neural fields. Our model accurately performs real‐world material reconstruction, generation and editing, while uniquely enhancing the physical accuracy of neural BRDFs via three key aspects: energy conservation, Helmholtz reciprocity and ...
C. Zhou, A. Sztrajman, G. Rainer, F. Zhong, F. Gokbudak, Z. Guo, W. Xia, R. K. Mantiuk, C. Oztireli   +8 more
wiley   +1 more source

Enhancing agronomic traits and bioactive compound accumulation in Thai Andrographis paniculata via EMS-induced variation. [PDF]

BMC Plant Biol
Summat P, Tongmark K, Sangarwut N, Chakhonkaen S, Thongphichai W, Sukrong S, Theerawitaya C, Cha-Um S, Netrphan S, Wanchana S, Muangprom A.   +10 more
europepmc   +1 more source

What controls forest litter decomposition? A coordinated distributed teabag experiment across ten mountains

Ecography, EarlyView.
Litter decomposition in mountainous forest ecosystems is an essential process that affects carbon and nutrient cycling. However, the contribution of litter decomposition to terrestrial ecosystems is difficult to estimate accurately because of the limited comparability of different studies and limited data on local microclimatic and non‐climatic factors.
Shiyu Ma, Shengbin Chen, Yi Ding, Zhongsheng He, Gang Hu, Jie Liu, Ya‐huang Luo, Kun Song, Yongchuan Yang, Xiaolei Huang, Meixiang Gao, Lan Liu, Bo Chen, Xianjin He, Xiaorong Lu, Bingwei Lv, Liang‐Liang Ma, Yani Meng, Zhongping Tian, Hong‐wei Zhang, Xijin Zhang, Yansong Zhang, Zhaochen Zhang, Shaopeng Li, Jian Zhang   +24 more
wiley   +1 more source

Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling. [PDF]

Commun Biol
Reyes-Matte O, Fortmann-Grote C, Gericke B, Hüttmann N, Ojkic N, López-Garrido J.   +5 more
europepmc   +1 more source