Supporting islet function in a PVDF membrane based macroencapsulation delivery device by solvent non-solvent casting using PVP. by Denise F A de Bont, Sami G Mohammed, Rick H W de Vries, Omar Paulino da Silva Filho, Vijayaganapathy Vaithilingam, Marlon J Jetten, Marten A Engelse, Eelco J P de Koning, Aart A van Apeldoorn

“…Currently the widespread application of CIT is limited, due to risks associated with the life-long use of immunosuppressive drugs to prevent rejection of donor cells. …”
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Classification of female MDD patients with and without suicidal ideation using resting-state functional magnetic resonance imaging and machine learning by Morteza Fattahi, Milad Esmaeil-Zadeh, Hamid Soltanian-Zadeh, Hamid Soltanian-Zadeh, Hamid Soltanian-Zadeh, Reza Rostami, Jamil Mansouri, Gholam-Ali Hossein-Zadeh, Gholam-Ali Hossein-Zadeh

“…Spontaneous blood oxygen level-dependent signals can be indirectly recorded in different brain regions with functional magnetic resonance imaging. In this study resting-state functional magnetic resonance imaging was used to measure the differences in connectivity and activation seen in major depressive disorder (MDD) patients with and without suicidal ideation and the control group. …”
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DYNAMIC ANALYSIS OF PREDATOR-PREY MODEL WITH CANNIBALISM INTERVENTION AND DISEASE INFECTION IN PREY USING HOLLING TYPE II RESPONSE FUNCTION by Fardinah Fardinah, Hikmah Hikmah, Rahmah Abubakar, Laila Qadrini, Haris Haris, Nadia Salsabilah

“…The objectives of this study include constructing a predator-prey model with cannibalism intervention and disease infection in prey using Holling Type II response function, identifying the stability of the equilibrium point of the model and interpreting the model based on simulation results. …”
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Assessing hand motor function in chronic immune-mediated neuropathies: a proof-of-concept study using a data glove by Elisa Gilliam, Pascal Achenbach, Gernot J. Suemmermann, Manuel N. Wessely, Peter Rossmanith, Maike F. Dohrn, Jörg B. Schulz, Anne Waschbisch, Robert Brunkhorst

“…We examined the patients’ hand function using a data glove which quantifies the active range of motion (ROM) of the hand based on three different movement patterns. …”
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Integrating species functional and architectural traits for improving crown width prediction in subtropical multispecies forests using nonlinear hierarchical models by Canming He, Xianglin Tian, Hongxiang Wang

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Multi-functional natural fiber composites using flaxseed and cotton: tailoring acoustic, mechanical, and thermal properties for eco-friendly applications by Natrayan Lakshmaiya, Gobikrishnan Udhayakumar, S. Sathiyamurthy, V S Nadh, Ramya Maranan, Wubishet Degife Mammo

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Using structural and functional MRI as a neuroimaging technique to investigate chronic fatigue syndrome/myalgic encephalopathy: a systematic review by Esther Crawley, Basim Almutairi, Christelle Langley, Ngoc Jade Thai

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Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric by Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi

“…In contrast, bivariate features based on Functional Connectivity (FC) capture statistical interactions between brain regions, offering superior discriminability. …”
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Removal of 2-naphthalenesulfonic acid using novel dual functional weakly basic anion exchange resins from aqueous solution by Yue Sun, Weisheng Zheng, Deqiang Yin

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Evaluating Impact of Surgical Myocardial Revascularization on Global Left Ventricular Systolic Function and Immediate Postoperative Outcome using Transesophageal Echocardiography by Abhijeet Shitole, Veerappa Kothiwale, Sharanagouda Patil, Preeti Lamba, Anand Vagarali, Jabbar Momin, Sweta Sooragonda, Anushri Patil

“…Ninety six subjects were evaluated for global LV systolic function using TEE before and after surgical revascularization. …”
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Quantification of seed germination response of Echinops aged seeds under osmotic stress using various nonlinear models and hydrotime function by Tayebeh Alsadat Cheraghi Takht Choobi, Seyed Amir Moosavi, ahmad zare, Ahmad KoochekZade, ghasem parmoon

“…The effects of accelerated aging treatment on seed germination of Echinops was quantified using nonlinear models using Sigmoid, Segmented, Gompertz and Richards models and hydrotime model in Weibull, Normal and Gombel distribution functions. …”
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Achieving precision assessment of functional clinical scores for upper extremity using IMU-Based wearable devices and deep learning methods by Weinan Zhou, Diyang Fu, Zhiyu Duan, Jiping Wang, Linfu Zhou, Liquan Guo

“…Wearable inertial measurement units (IMUs) and deep learning approaches have been effectively employed for motor function prediction. This study aims to use machine learning techniques and data collected from IMUs to assess the Fugl-Meyer upper extremity subscale for post-stroke patients with motor dysfunction. …”
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Case Report: Improvement of functional dyspepsia using eight constitution acupuncture and eight constitution diet – A report of three cases by Nahyun Cho, Nahyun Cho, Younkuk Choi, Younkuk Choi, Heekyung Kim, Heekyung Kim, Heeyoung Moon, Younbyoung Chae, Sungha Kim, Jungtae Leem, Jungtae Leem, Jungtae Leem

“…FD symptoms and quality of life were assessed using the Nepean Dyspepsia Index-Korean version (NDI-K) and Functional Dyspepsia-Quality of Life (FD-QoL) scores before and 2 and 4 weeks post-treatment. …”
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A Novel Evaluation of Income Class Boundaries Using Inflection Points of Probability Density Functions: A Case Study of Brazil by Rafael Bittencourt, Hernane Borges de Barros Pereira, Marcelo A. Moret, Ivan C. Da Cunha Lima, Serge Galam

“…Our study develops a statistical method based on a nationwide survey of income distribution. We use these data to create a cumulative distribution function with a metalogistic distribution and its probability density function. …”
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Decoding Articulation Motor Imagery Using Early Connectivity Information in the Motor Cortex: A Functional Near-Infrared Spectroscopy Study by Zengzhi Guo, Fei Chen

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Numerical Solution of Nonlinear Stochastic Itô–Volterra Integral Equations Driven by Fractional Brownian Motion Using Block Pulse Functions by Mengting Deng, Guo Jiang, Ting Ke

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Early feeding and growth pattern in infants: Using a three-variate longitudinal model derived from Gaussian copula function by Kambiz Ahmadi Angali, Mohammad Sadegh Loeloe, Mohammad Reza Akhoond, Alireza Daneshkhah, Fatemeh Borazjani

“…A three-variate longitudinal model including Copula function was used to estimate the effect of feeding on growth pattern. …”
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Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function by Ali M. Hasan, Mohammed Khalaf, Bayan M. Sabbar, Rabha W. Ibrahim, Hamid A. Jalab, Farid Meziane

“…This study proposes a lung CT image segmentation method which includes two steps: (1) a new image enhancement model that uses the bounded turning Mittag-Leffler function to improve the CT images for better segmentation outcomes. (2) a new modified VGG-16 for infection of lung segmentation based on expanding the original VGG-16 network. …”
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Exploring the electrocatalytic performance of silicene and single atom doped silicene for HER, OER and ORR activity using density functional theory by Deepak Arumugam, Jaya Priya Sivakumar, Akilesh Muralidharan, Shankar Ramasamy

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Machine Learning‐Based Identification of Children With Intermittent Exotropia Using Multiple Resting‐State Functional Magnetic Resonance Imaging Features by Mengdi Zhou, Huixin Li, Xiaoxia Qu, Lirong Zhang, Xueying He, Xiwen Wang, Jie Hong, Jing Fu, Zhaohui Liu

“…Abstract Objective To investigate the performance of machine learning (ML) methods based on resting‐state functional magnetic resonance imaging (rs‐fMRI) parameters in distinguishing children with intermittent exotropia (IXT) from healthy controls (HCs). …”
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