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The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning versus transitioned countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy.

The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been ...

As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60% of the Mizar theorems in the hammer setting. We also automatically prove 75% of the Mizar theorems when the automated provers are helped by using only the premises used in the human-written Mizar proofs. We describe the methods and large-scale experiments leading to these results. This includes in particular the E and Vampire provers, their ENIGMA and Deepire learning modifications, a number of learning-based premise selection methods, and the incremental loop that interleaves growing ...

This work validated an entirely redesigned version of the neural network-based model, AlphaFold, in the challenging 14th Critical Assessment of protein Structure Prediction (CASP14)15, demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods.

New additions are described that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods and a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments.

Investments in prevention, including the targeting of key risk factors for cancer (including smoking, overweight and obesity, and infection), could avert millions of future cancer diagnoses and save many lives worldwide, bringing huge economic as well as societal dividends to countries over the forthcoming decades.

Progress has stagnated for breast and prostate cancers but strengthened for lung cancer, coinciding with changes in medical practice related to cancer screening and/or treatment, and mortality patterns reflect incidence trends.

Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.

Although cancer mortality rates continue to decline, future progress may be attenuated by rising incidence for breast, prostate, and uterine corpus cancers, which also happen to have the largest racial disparities in mortality.

‘weighted-nearest neighbor’ analysis is introduced, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities.

A novel distributed IoT framework that is able to detect emergency vehicles with an average accuracy of 99.4% and is exploited by proposing a novel two stage vehicle detector that is able to achieve 77% vehicle detection accuracy on UA-DETRAC dataset.

This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their embeddings into classifiers and regressors to evaluate the effectiveness of the LLMs-generated embeddings for geometric attributes. The experiments demonstrate that while the LLMs-generated embeddings can preserve geometry types and capture some spatial relations (up to 73% accuracy), challenges remain in estimating numeric values and retrieving...

This study provides the first comprehensive assessment of the global burden of AMR, as well as an evaluation of the availability of data, and estimates aggregated to the global and regional level.

The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines, free for both non-commercial and commercial use.

The PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISma 2020 abstract checklist, and the revised flow diagrams for original and updated reviews are presented.

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The Coding Manual fourth edition is reformatted to 15 chapters and divided into three parts, as opposed to six chapters in the third edition.This provides readers with more straightforward yet more detailed sectional references.The fourth edition also introduces two new first-cycle coding methods, 'metaphor coding' and 'theming the data categorically.'The fourth edition is aptly suited as a guide for teaching contexts for coding processes, given the provision of a companion website with student exercises and digital content.This includes screenshots of relevant academic software for analyzing ...

The iTOL version 5 introduces a completely new tree display engine, together with numerous new features, and a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones.

The present review summarizes the major general changes in the 2021 fifth edition classification and the specific changes in each taxonomic category.

International Nuclear Science, Technology and Engineering Conference 2021 (iNuSTEC2021) “Nuclear Science and Technology for Socio-economic Development” Universiti Teknologi Malaysia (UTM) Skudai, Johor, Malaysia 10-12 October 2021 Editors Nahrul Khair Alang Md Rashid, Universiti Teknologi Malaysia Khaidzir Hamzah, Universiti Teknologi Malaysia Mohsin Mohd Sies, Universiti Teknologi Malaysia Jasman Zainal, Universiti Teknologi Malaysia Muhammad Arif Sazali, Universiti Teknologi Malaysia Muhammad Syahir Sarkawi, Universiti Teknologi Malaysia Nur Syazwani Mohd Ali, Universiti Teknologi Malaysia K...