Hasil untuk "Biology (General)"

Mohammed Affan Zidan, J. Strachan, W. Lu

Karin Schlegelmilch, Morvarid Mohseni, O. Kirak et al.

C. Worth

J. Crooks

R. Kerbel, J. Folkman

R. Whittaker, M. Araújo, P. Jepson et al.

B. Campbell

F. Nimmerjahn, J. Ravetch

Duncan Hull, K. Wolstencroft, Robert Stevens et al.

Taverna is an application that eases the use and integration of the growing number of molecular biology tools and databases available on the web, especially web services. It allows bioinformaticians to construct workflows or pipelines of services to perform a range of different analyses, such as sequence analysis and genome annotation. These high-level workflows can integrate many different resources into a single analysis. Taverna is available freely under the terms of the GNU Lesser General Public License (LGPL) from .

D. Gleich

Google's PageRank method was developed to evaluate the importance of web-pages via their link structure. The mathematics of PageRank, however, are entirely general and apply to any graph or network in any domain. Thus, PageRank is now regularly used in bibliometrics, social and information network analysis, and for link prediction and recommendation. It's even used for systems analysis of road networks, as well as biology, chemistry, neuroscience, and physics. We'll see the mathematics and ideas that unite these diverse applications.

R. Haeusler, T. McGraw, D. Accili

M. Simoni, Jörg Gromoll, E. Nieschlag

A. Joerger, A. Fersht

Yutao Feng, Weibin Li

Self-centering structures have emerged as a promising seismic design solution, offering advantages in structural safety, rapid post-earthquake functionality recovery, and life-cycle economy. This paper introduces a self-centering beam–column joint that integrates superelastic shape memory alloys (SMAs) and prestressed steel tendons as restoring components. A numerical model was developed in OpenSees and validated against experimental results, with discrepancies in residual deformation within 10%. The validated model was used for parametric studies on strand area, prestress, and SMA configuration. The results show that the proposed joint sustains a maximum drift of 6% while maintaining nearly zero residual drift (less than 0.2%), and its hysteresis curve exhibits a stable flag-shaped pattern. The equivalent viscous damping ratio exceeds 0.1, confirming excellent deformation and energy dissipation capacities. These findings highlight the joint’s potential for application in seismic-resilient steel frames.

Ladi Alik Kumar, K Sunand, Jitendra Debata et al.

Cancer is a disorder characterized by the abnormal growth of cells that increases uncontrollably over an extended period of time. Treating cancerous brain tumors remains among the most challenging tasks for researchers, as brain tumors are among the hardest cancers to treat. Additionally, the condition often worsens because of the delayed diagnosis caused by the absence of early symptoms. The use of conventional treatment methods, such as radiation, chemotherapy, and surgery, continues to be highly limited. The low solubility, narrow therapeutic index, and limited ability to traverse the blood–brain barrier of most anticancer drugs result in limited therapeutic efficacy. In an attempt to overcome these predicaments, formulation scientists have been considering nanotechnology-based therapeutic solutions, particularly given the increasing rates of brain cancers that have low survivability and the drawbacks of the existing treatment methods. Different nanoplatforms, such as polymeric nanoparticles, nanoliposomes, dendrimers, carbon nanotubes, and magnetic nanoparticles, have been explored. Research has indicated that such nanocarriers can increase the delivery of drugs to cells in brain tumors with a minimal off-target distribution, resulting in minimal adverse effects and optimal treatment. This review presents a summary of nanocarrier-based drug delivery systems that have been reported in recent years for the treatment of brain tumors. In addition, it explains the existing difficulties with the clinical implementation of nanodrug carriers and the perspectives of this field.

R. Thiessen, M. Conte, T. L. Stepien et al.

Go-or-grow approaches represent a specific class of mathematical models used to describe populations where individuals either migrate or reproduce, but not both simultaneously. These models have a wide range of applications in biology and medicine, chiefly among those the modeling of brain cancer spread. The analysis of go-or-grow models has inspired new mathematics, and it is the purpose of this review to highlight interesting and challenging mathematical properties of reaction--diffusion models of the go-or-grow type. We provide a detailed review of biological and medical applications before focusing on key results concerning solution existence and uniqueness, pattern formation, critical domain size problems, and traveling waves. We present new general results related to the critical domain size and traveling wave problems, and we connect these findings to the existing literature. Moreover, we demonstrate the high level of instability inherent in go-or-grow models. We argue that there is currently no accurate numerical solver for these models, and emphasize that special care must be taken when dealing with the "monster on a leash".

Fabio J. Cortes Rodriguez, Gianfranco Frattini, Fernando Teixeira Pinto Meireles et al.

MolecularWebXR is our new website for education, science communication and scientific peer discussion in chemistry and biology built on WebXR. It democratizes multi-user, inclusive virtual reality (VR) experiences that are deeply immersive for users wearing high-end headsets, yet allow participation by users with consumer devices such as smartphones, possibly inserted into cardboard goggles for immersivity, or even computers or tablets. With no installs as it is all web-served, MolecularWebXR enables multiple users to simultaneously explore, communicate and discuss chemistry and biology concepts in immersive 3D environments, manipulating objects with their bare hands, either present in the same real space or scattered throughout the globe thanks to built-in audio features. A series of preset rooms cover educational material on chemistry and structural biology, and an empty room can be populated with material prepared ad hoc using moleculARweb's VMD-based PDB2AR tool. We verified ease of use and versatility by users aged 12-80 in entirely virtual sessions or mixed real-virtual sessions at science outreach events, student instruction, scientific collaborations, and conference lectures. MolecularWebXR is available for free use without registration at https://molecularwebxr.org, and a blog post version of this preprint with embedded videos is available at https://go.epfl.ch/molecularwebxr-blog-post.

J. L. Hernández-Pastora

In the standard Einstein's theory the exterior gravitational field of any static and axially symmetric stellar object can be described by means of a single function from which we obtain a metric into a four-dimensional space-time. In this work we present a generalization of those so called Weyl solutions to a space-time-matter metric in a five-dimensional manifold within a non-compactified Kaluza-Klein theory of gravity. The arising field equations reduce to those of vacuum Einstein's gravity when the metric function associated to the fifth dimension is considered to be constant. The calculation of the geodesics allows to identify the existence or not of different behaviours of test particles, in orbits on a constant plane, between the two metrics. In addition, static solutions on the hypersurface orthogonal to the added dimension but with time dependence in the five-dimensional metric are also obtained. The consequences on the variation of the rest mass, if the fifth dimension is identified with it, are studied.

Tiago Lubiana, Rafael Lopes, Pedro Medeiros et al.

The rise of advanced chatbots, such as ChatGPT, has sparked curiosity in the scientific community. ChatGPT is a general-purpose chatbot powered by large language models (LLMs) GPT-3.5 and GPT-4, with the potential to impact numerous fields, including computational biology. In this article, we offer ten tips based on our experience with ChatGPT to assist computational biologists in optimizing their workflows. We have collected relevant prompts and reviewed the nascent literature in the field, compiling tips we project to remain pertinent for future ChatGPT and LLM iterations, ranging from code refactoring to scientific writing to prompt engineering. We hope our work will help bioinformaticians to complement their workflows while staying aware of the various implications of using this technology. Additionally, to track new and creative applications for bioinformatics tools such as ChatGPT, we have established a GitHub repository at https://github.com/csbl-br/awesome-compbio-chatgpt. Our belief is that ethical adherence to ChatGPT and other LLMs will increase the efficiency of computational biologists, ultimately advancing the pace of scientific discovery in the life sciences.

Siriwat Thunyacharoen, Pasuk Mahakkanukrauh

Knowledge of anatomical variations in the base of the skull and anatomical landmarks is crucial for clinical procedures by surgeons, ENT physicians, and radiologists. This study investigated morphometric and anatomical variations in the foramen magnum, occipital condyles, hypoglossal canals, and jugular foramina to improve knowledge of the base of the skull’s complex anatomy and consider the anatomical variations via a morphometric study. One hundred and sixty intact skulls were investigated. Morphometric measurements showed that the foramen magnum, occipital condyles, hypoglossal canals, and jugular foramina were all significantly larger in males than females and could be useful for sex determination. Increased awareness of morphological location and anatomical landmark variation can improve surgical proficiency.