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Artikel Jurnal
AI-powered marketing: What, where, and how?
Artificial intelligence (AI) has become a disruptive force that has revolutionized industries and changed business practices. The integration of AI has brought numerous benefits to various functional areas within organizations, with marketing experiencing a significant positive impact. AI…
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A new framework for the diagnosis, staging and management of obesity in adults
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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Abstract This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their natural environment. Survival for secretary birds involves continuous hunting for prey and evading…
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Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advanced computational methods. These innovations have unlocked unprecedented opportunities for the…
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The Burden of Chronic Disease
Chronic diseases like diabetes, heart disease, stroke, and cancer have been and continue to be some of the major causes of worldwide morbidity and mortality. A transition between infectious and noncommunicable diseases occurred in the early 1900s as a result of improved public health and has…
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Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health
Abstract Global food production faces challenges in balancing the need for increased yields with environmental sustainability. This study presents a six-year field experiment in the North China Plain, demonstrating the benefits of diversifying traditional cereal monoculture (wheat–maize) with cash…
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Nucleotide Transformer: building and evaluating robust foundation models for human genomics
The prediction of molecular phenotypes from DNA sequences remains a longstanding challenge in genomics, often driven by limited annotated data and the inability to transfer learnings between tasks. Here, we present an extensive study of foundation models pre-trained on DNA sequences, named…
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Artikel Jurnal
Trust in AI: progress, challenges, and future directions
The increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the significance of trust and distrust in AI from a user perspective. AI-driven systems have significantly diffused into various aspects of our lives…
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A survey on imbalanced learning: latest research, applications and future directions
Abstract Imbalanced learning constitutes one of the most formidable challenges within data mining and machine learning. Despite continuous research advancement over the past decades, learning from data with an imbalanced class distribution remains a compelling research area. Imbalanced class…
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Nonlinear dynamics of multi-omics profiles during human aging
Aging is a complex process associated with nearly all diseases. Understanding the molecular changes underlying aging and identifying therapeutic targets for aging-related diseases are crucial for increasing healthspan. Although many studies have explored linear changes during aging, the prevalence…
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Mitochondria at the crossroads of health and disease
Mitochondria reside at the crossroads of catabolic and anabolic metabolism-the essence of life. How their structure and function are dynamically tuned in response to tissue-specific needs for energy, growth repair, and renewal is being increasingly understood. Mitochondria respond to intrinsic and…
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Water-hydroxide trapping in cobalt tungstate for proton exchange membrane water electrolysis
The oxygen evolution reaction is the bottleneck to energy-efficient water-based electrolysis for the production of hydrogen and other solar fuels. In proton exchange membrane water electrolysis (PEMWE), precious metals have generally been necessary for the stable catalysis of this reaction. In this…
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Nanotechnology’s frontier in combatting infectious and inflammatory diseases: prevention and treatment
Inflammation-associated diseases encompass a range of infectious diseases and non-infectious inflammatory diseases, which continuously pose one of the most serious threats to human health, attributed to factors such as the emergence of new pathogens, increasing drug resistance, changes in living…
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G protein-coupled receptors (GPCRs): advances in structures, mechanisms and drug discovery
G protein-coupled receptors (GPCRs), the largest family of human membrane proteins and an important class of drug targets, play a role in maintaining numerous physiological processes. Agonist or antagonist, orthosteric effects or allosteric effects, and biased signaling or balanced signaling…
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Global cancer statistics 2022
This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities. In this issue, the global cancer statistics for 2022 offer a view on disparities in the incidence and mortality of cancer by sex and region worldwide and on the areas…
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Artikel Jurnal
Atomically thin boron nitride: unique properties and applications
Atomically thin boron nitride (BN) is an important 2D nanomaterial, with many properties distinct from graphene. In this feature article, these unique properties and associated applications, often not feasible with graphene, are outlined. The article starts with characterization and identification…
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The 2023 WHO World malaria report
The estimated number of global malaria cases in 2022 exceeded pre-COVID-19 pandemic levels in 2019, according to WHO’s 2023 World malaria report. Several threats to the malaria global response are highlighted in the report, including climate change.
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A Phase 2 Randomized Trial of Survodutide in MASH and Fibrosis
BACKGROUND: Dual agonism of glucagon receptor and glucagon-like peptide-1 (GLP-1) receptor may be more effective than GLP-1 receptor agonism alone for treating metabolic dysfunction-associated steatohepatitis (MASH). The efficacy and safety of survodutide (a dual agonist of glucagon receptor and…
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The promise and challenges of generative AI in education
Generative artificial intelligence (GenAI) tools, such as large language models (LLMs), generate natural language and other types of content to perform a wide range of tasks. This represents a significant technological advancement that poses opportunities and challenges to educational research and…
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