Article
Biology
Zhenxiang Xiao, Liang He, Boyu Zhao, Mingxin Jiang, Wei Mao, Yuzhong Chen, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang
Summary: This study systematically investigates the functional connectivity characteristics between gyri and sulci in the human brain under naturalistic stimulus, and identifies unique features in these connections. This research provides novel insights into the functional brain mechanism under naturalistic stimulus and lays a solid foundation for accurately mapping the brain anatomy-function relationship.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Seyyed Bahram Borgheai, Alyssa Hillary Zisk, John McLinden, James Mcintyre, Reza Sadjadi, Yalda Shahriari
Summary: This study proposed a novel personalized scheme using fNIRS and EEG as the main tools to predict and compensate for the variability in BCI systems, especially for individuals with severe motor deficits. By establishing predictive models, it was found that there were significant associations between the predicted performances and the actual performances.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Jingfei Hu, Linwei Qiu, Hua Wang, Jicong Zhang
Summary: This study proposes a novel semi-supervised point consistency network (SPC-Net) for retinal artery/vein (A/V) classification, addressing the challenges of specific tubular structures and limited well-labeled data in CNN-based approaches. The SPC-Net combines an AVC module and an MPC module, and introduces point set representations and consistency regularization to improve the accuracy of A/V classification.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Theodoros Kyriazos, Mary Poga
Summary: This paper explores the innovative intersection of quantum mechanics and psychology, examining the potential impact of quantum principles on human emotions, cognition, and consciousness. By drawing parallels between quantum phenomena and psychological counterparts, a quantum-psychological model is proposed, reimagining the characteristics of emotional states, cognitive breakthroughs, interpersonal relationships, and the nature of consciousness. Computational models and simulations are used to explore the implications and applications of this interdisciplinary fusion, highlighting its potential benefits and inherent challenges. Approaching this emerging framework with both enthusiasm and skepticism is crucial, and rigorous empirical validation is necessary to fully realize its potential in research and therapeutic contexts.
Article
Mathematical & Computational Biology
Soumitra Pal, Pijush Panday, Nikhil Pal, A. K. Misra, Joydev Chattopadhyay
Summary: This paper investigates a nonlinear ratio-dependent prey-predator model with constant prey refuge, incorporating Allee and fear phenomena in the prey population. The qualitative behaviors of the model are studied around equilibrium points, including Hopf bifurcation and its direction and stability. The study shows that fear of predation risk can have both stabilizing and destabilizing effects, and an increase in prey refuge drives the system towards stability. Numerical simulations using MATLAB software explore the dynamical behaviors of the system.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Mathematical & Computational Biology
Xiangjun Dai, Jianjun Jiao, Qi Quan, Airen Zhou
Summary: In this study, a comprehensive pest management model for agricultural production is proposed, involving periodic spraying of pesticides and releasing predatory natural enemies. Using Floquet theory and the comparison theorem of impulsive differential equations, a sufficient condition for the global asymptotic stability of the pest-eradication periodic solution is obtained. The persistence of the system is further studied, and a sufficient condition for the persistence of the system is obtained. Numerical simulations are conducted to verify the theoretical works. The results indicate that the sublethal effects of insecticides and the release of predatory natural enemies play significant roles in pest control in agricultural production.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Biochemical Research Methods
Krishna Chaturvedi, Caroline S. Anthony, Pankaj Pandey, Robert J. Doerksen, Murrell Godfrey
Summary: This study evaluated the interactions between the CB1 receptor and ligands from the JWH synthetic cannabinoid family, as well as newly designed JWH-like virtual compounds. The results revealed important structural characteristics that influenced the predicted CB1 binding affinity, including the carbonyl group and the length of the alkyl chain.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2024)
Article
Biochemical Research Methods
Ramin Bairami Habashi, Mohammad Najafi, Reza Zarghami
Summary: A vigorous Monte Carlo strategy was developed to simulate the copolymerization of ethylene and 1-butene using a dual-site metallocene catalyst. The results showed that the second catalyst site had higher activity than the first site, with ethylene and 1-butene consumption rates five times higher and hydrogen transfer rates three times faster. The molar percentage of 1-butene in the copolymers synthesized from the second site was around 12%, while in the copolymers from the first site it was around 2%. Increasing the 1-butene concentration led to an increase in overall molecular weight, while increasing the hydrogen concentration resulted in a decrease in molecular weight. The ratio of ethylene to 1-butene affected the melt index and the weight fraction of crystals, with higher ratios leading to smaller melt indexes and higher weight fractions of crystals. Increasing the temperature caused changes in molecular weight, bimodal molecular weight distribution, crystal thickness and weight fraction, and density of HDPE.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2024)
Article
Biology
Arturo Avendano-Estrada, Miguel Angel Olarte-Casas, Miguel Angel Avila-Rodriguez
Summary: The diagnosis of neurological diseases is complicated, but PET molecular imaging can help with early and accurate diagnosis and staging. This study proposed a novel method to combine PET data of two radiopharmaceuticals and obtain new quantitative metrics. The results showed that this method can effectively differentiate healthy controls from Parkinson's disease patients and detect slight changes in patients undergoing treatment.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biochemical Research Methods
Sandip Kumar Baidya, Suvankar Banerjee, Balaram Ghosh, Tarun Jha, Nilanjan Adhikari
Summary: This study utilized classification-based QSAR techniques and fragment-based data mining to analyze different MMP-9 inhibitors, revealing the importance of certain molecular fragments in MMP-9 inhibition. These findings have implications for the development of effective MMP-9 inhibitors in the future.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2024)
Article
Biology
Antonio Picornell, Sandro Hurtado, Maria Luisa Antequera-Gomez, Cristobal Barba-Gonzalez, Rocio Ruiz-Mata, Enrique de Galvez-Montanez, Marta Recio, Maria del Mar Trigo, Jose F. Aldana-Montes, Ismael Navas-Delgado
Summary: Airborne pollen can cause allergic rhinitis and other respiratory diseases, making accurate pollen forecast systems crucial for public health. This study applied LSTM algorithms to forecast monthly pollen integrals in Malaga and found that the CNN-LSTM model was the most accurate. Traditional forecast methods were outperformed by all LSTM variants.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
P. Michaux, B. Gaume, Y. Cong, O. Quemener
Summary: This article presents the development of a digital twin model for the thigh portion undergoing various thermal treatments. Two scenarios, cold water immersion (CWI) and whole body cryotherapy (WBC), are investigated and the numerical results are validated against experimental measurements. The use of real geometry on a first subject demonstrates the heterogeneity of the temperature field and the importance of accurate geometry. A second subject with thicker adipose tissue highlights the impact of the subject's actual morphology on treatment validity and the need for real geometry to optimize cold modalities and develop personalized treatments.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Zhixin Xu, Seohoon Lim, Yucheng Lu, Seung-Won Jung
Summary: Despite the new paradigm brought by digital pathology in modern medicine, the lack of annotations for training poses a significant challenge. This research focuses on enhancing the model's generalization ability through domain adaptation, using only source domain labels to train the model and improving prediction ability for target domain data. Additionally, nuclei segmentation is introduced to provide more diagnostically valuable information for classification, and a reversed domain adaptation strategy is proposed to generate target-like results in the source domain, making the classification model more robust to inaccurate segmentation. Extensive experiments demonstrate that the proposed method effectively reduces disparities in nuclei segmentation between the source and target domains, leading to improved image classification performance in the target domain.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Qing Xu, Wenting Duan
Summary: In this paper, a dual attention supervised module, named DualAttNet, is proposed for multi-label lesion detection in chest radiographs. By efficiently fusing global and local lesion classification information, the module is able to recognize targets with different sizes. Experimental results show that DualAttNet outperforms baselines in terms of mAP and AP50 with different detection architectures.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biochemical Research Methods
Paola Vottero, Elena Carlotta Olivetti, Lucia Chiara D'Agostino, Luca Di Grazia, Enrico Vezzetti, Maral Aminpour, Jacek Adam Tuszynski, Federica Marcolin
Summary: This study aims to characterize the spike protein of the SARS-CoV-2 virus and investigate its interaction with the ACE2 receptor using a geometric analysis. The 3D depth maps of the proteins are filtered using a specific convolutional filter to obtain geometric features. Geometric descriptors and a Support Vector Machine classifier are used for feature extraction and classification, revealing the geometrical reasons for the higher contagiousness of the Omicron variant compared to other variants.
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
(2024)
Article
Biology
Juan Antonio Valera-Calero, Dario Lopez-Zanoni, Sandra Sanchez-Jorge, Cesar Fernandez-de-las-Penas, Marcos Jose Navarro-Santana, Sofia Olivia Calvo-Moreno, Gustavo Plaza-Manzano
Summary: This study developed an easy-to-use application for assessing the diagnostic accuracy of digital pain drawings (PDs) compared to the classic paper-and-pencil method. The results demonstrated that digital PDs have higher reliability and accuracy compared to paper-and-pencil PDs, and there were no significant differences in assessing pain extent between the two methods. The PAIN EXTENT app showed good convergent validity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Mathematical & Computational Biology
Fengsheng Chien, Hassan Saberi Nik, Mohammad Shirazian, J. F. Gomez-Aguilar
Summary: This paper investigates the stability analysis of an SEIRV model with nonlinear incidence rates and discusses the significance of control factors in disease transmission. The use of Volterra-Lyapunov matrices enables the study of global stability at the endemic equilibrium point. Additionally, an optimal control strategy is proposed to prevent the spread of coronavirus, aiming to minimize the number of infected and exposed individuals as well as treatment costs. Numerical simulations are conducted to further examine the analytical findings.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Mathematical & Computational Biology
Liliana Puchuri, Orestes Bueno
Summary: In this study, a predator-prey model of Gause type is investigated. The prey growth rate is influenced by an Allee effect and the predator's impact on the prey is determined by a generalized hyperbolic-type functional response. The behavior of the solutions in the first quadrant and the existence of limit cycles are studied. The existence of equilibrium points and their stability are also analyzed, with a focus on the conditions for a center-type equilibrium. Additionally, the existence of a unique limit cycle for small perturbations of the system is guaranteed.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Mathematical & Computational Biology
Yan Li, Zhiyi Lv, Fengrong Zhang, Hui Hao
Summary: In this paper, a diffusive predator-prey model with hyperbolic mortality and prey-taxis under homogeneous Neumann boundary condition is studied. The influence of prey-taxis on the local stability of constant equilibria is analyzed. Prey-taxis is found to affect the stability of the unique positive constant equilibrium, but has no influence on the stability of the trivial equilibrium and the semi-trivial equilibrium. Hopf bifurcation and steady state bifurcation related to prey-taxis are then derived, indicating the important role of prey-taxis in the dynamics.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Mathematical & Computational Biology
Surath Ghosh
Summary: The main goal of this work is to implement the Homotopy perturbation transform method (HPTM) involving the Katugampola fractional operator. A fractional order Hepatitis model is used as an example to analyze the solutions. The integer order model is first converted to a fractional order model in the Caputo sense and then the new operator Katugampola fractional derivative is used to present the model. The HPTM is described to obtain the solution of the proposed model using this new operator, and some analyses are conducted on the operator to prove its efficiency.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
