The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent progress and breakthroughs in the application of big data within precision medicine. Key aspects are summarized, including content, data sources, technologies, tools, challenges, and existing gaps. Nine fields—Datawarehouse and data management, electronic medical record, biomedical imaging informatics, Artificial intelligence-aided surgical design and surgery optimization, omics data, health monitoring data, knowledge graph, public health informatics, and security and privacy—are discussed.
{"title":"Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review","authors":"Xue Yang, Kexin Huang, Dewei Yang, Weiling Zhao, Xiaobo Zhou","doi":"10.1002/gch2.202300163","DOIUrl":"10.1002/gch2.202300163","url":null,"abstract":"<p>The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent progress and breakthroughs in the application of big data within precision medicine. Key aspects are summarized, including content, data sources, technologies, tools, challenges, and existing gaps. Nine fields—Datawarehouse and data management, electronic medical record, biomedical imaging informatics, Artificial intelligence-aided surgical design and surgery optimization, omics data, health monitoring data, knowledge graph, public health informatics, and security and privacy—are discussed.</p>","PeriodicalId":12646,"journal":{"name":"Global Challenges","volume":"8 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gch2.202300163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed M. EI Kenawy, Talal Al-Awadhi, Meshal Abdullah, Rana Jawarneh, Ammar Abulibdeh
This study offers a comprehensive analysis of the distribution, evolution, and driving factors of CO2 emissions from 1990 to 2016 at multiple spatial scales. Utilizing 26 indicators encompassing various facets of CO2 emissions, it is employed principal component analysis (PCA) and empirical orthogonal functions (EOFs) to identify the dominant characteristics of global CO2 emissions. This model retained three core components, accounting for 93% of the global CO2 variation, reflecting emission trajectories and associated economic metrics, such as Gross domestic product (GDP). The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO2 emissions are pinpointed. Notably, the leading contributors are found among developed nations (e.g., the United States, Canada, Japan), Gulf states (e.g., Saudi Arabia, Qatar), and emerging economies (e.g., China, Brazil, Mexico). Furthermore, these results highlight that shifts in global CO2 emissions over the past 30 years are predominantly influenced by factors like industrial emissions and GDP. Results also demonstrate a distinct relationship between a country's CO2 emissions and its physical and socioeconomic factors. Specifically, the nation's coastline length, population density in coastal regions, and the diversity of its climatic conditions significantly influence its carbon footprint.
{"title":"A Preliminary Assessment of Global CO2: Spatial Patterns, Temporal Trends, and Policy Implications","authors":"Ahmed M. EI Kenawy, Talal Al-Awadhi, Meshal Abdullah, Rana Jawarneh, Ammar Abulibdeh","doi":"10.1002/gch2.202300184","DOIUrl":"10.1002/gch2.202300184","url":null,"abstract":"<p>This study offers a comprehensive analysis of the distribution, evolution, and driving factors of CO<sub>2</sub> emissions from 1990 to 2016 at multiple spatial scales. Utilizing 26 indicators encompassing various facets of CO<sub>2</sub> emissions, it is employed principal component analysis (PCA) and empirical orthogonal functions (EOFs) to identify the dominant characteristics of global CO<sub>2</sub> emissions. This model retained three core components, accounting for 93% of the global CO<sub>2</sub> variation, reflecting emission trajectories and associated economic metrics, such as Gross domestic product (GDP). The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO<sub>2</sub> emissions are pinpointed. Notably, the leading contributors are found among developed nations (e.g., the United States, Canada, Japan), Gulf states (e.g., Saudi Arabia, Qatar), and emerging economies (e.g., China, Brazil, Mexico). Furthermore, these results highlight that shifts in global CO<sub>2</sub> emissions over the past 30 years are predominantly influenced by factors like industrial emissions and GDP. Results also demonstrate a distinct relationship between a country's CO<sub>2</sub> emissions and its physical and socioeconomic factors. Specifically, the nation's coastline length, population density in coastal regions, and the diversity of its climatic conditions significantly influence its carbon footprint.</p>","PeriodicalId":12646,"journal":{"name":"Global Challenges","volume":"7 12","pages":""},"PeriodicalIF":4.9,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gch2.202300184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138524820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shams Rani, Muhammad Imran, Ali Haider, Anum Shahzadi, Anwar Ul-Hamid, H. H. Somaily, Sawaira Moeen, Mahreen Khan, Walid Nabgan, Muhammad Ikram
Various concentrations of samarium-grafted-carbon nitride (Sm-g-C3N4) doped-bismuth oxobromide (BiOBr) quantum dots (QDs) are prepared by the co-precipitation method. Elemental evaluation, morphological, optical, and functional group assessment are studied employing characterization techniques. Based on the XRD pattern analysis, it is determined that BiOBr exhibits a tetragonal crystal structure. The electronic spectroscopy revealed an absorption peak for BiOBr at 315 nm and the bandgap energy (Eg) decreasing from 3.9 to 3.8 eV with the insertion of Sm-g-C3N4. The presence of vibrational modes related to BiOBr at 550 cm−1 is confirmed through FTIR spectra. TEM revealed that pure BiOBr possessed non-uniform QDS, and agglomeration increased with the addition of Sm-g-C3N4. The catalytic performance of Sm-g-C3N4 into BiOBr (6 mL) in a neutral medium toward rhodamine B exhibited excellent results (99.66%). The bactericidal activity is evaluated against multi-drug resistance (MDR) Escherichia coli once the surface area is increased by dopant and the measured inhibition zone is assessed to be 3.65 mm. Molecular docking results supported the in vitro bactericidal potential of Sm-g-C3N4 and Sm-g-C3N4 doped-BiOBr as DNA gyraseE. coli inhibitors. This study shows that the novel Sm-g-C3N4 doped-BiOBr is a better catalyst that increases specific semiconductor's catalytic activity (CA).
{"title":"Dye Degradation, Antimicrobial Activity, and Molecular Docking Analysis of Samarium-Grafted Carbon Nitride Doped-Bismuth Oxobromide Quantum Dots","authors":"Shams Rani, Muhammad Imran, Ali Haider, Anum Shahzadi, Anwar Ul-Hamid, H. H. Somaily, Sawaira Moeen, Mahreen Khan, Walid Nabgan, Muhammad Ikram","doi":"10.1002/gch2.202300118","DOIUrl":"10.1002/gch2.202300118","url":null,"abstract":"<p>Various concentrations of samarium-grafted-carbon nitride (Sm-g-C<sub>3</sub>N<sub>4</sub>) doped-bismuth oxobromide (BiOBr) quantum dots (QDs) are prepared by the co-precipitation method. Elemental evaluation, morphological, optical, and functional group assessment are studied employing characterization techniques. Based on the XRD pattern analysis, it is determined that BiOBr exhibits a tetragonal crystal structure. The electronic spectroscopy revealed an absorption peak for BiOBr at 315 nm and the bandgap energy (<i>E</i><sub>g</sub>) decreasing from 3.9 to 3.8 eV with the insertion of Sm-g-C<sub>3</sub>N<sub>4</sub>. The presence of vibrational modes related to BiOBr at 550 cm<sup>−1</sup> is confirmed through FTIR spectra. TEM revealed that pure BiOBr possessed non-uniform QDS, and agglomeration increased with the addition of Sm-g-C<sub>3</sub>N<sub>4</sub>. The catalytic performance of Sm-g-C<sub>3</sub>N<sub>4</sub> into BiOBr (6 mL) in a neutral medium toward rhodamine B exhibited excellent results (99.66%). The bactericidal activity is evaluated against multi-drug resistance (MDR) <i>Escherichia coli</i> once the surface area is increased by dopant and the measured inhibition zone is assessed to be 3.65 mm. Molecular docking results supported the in vitro bactericidal potential of Sm-g-C<sub>3</sub>N<sub>4</sub> and Sm-g-C<sub>3</sub>N<sub>4</sub> doped-BiOBr as DNA gyrase<i><sub>E. coli</sub></i> inhibitors. This study shows that the novel Sm-g-C<sub>3</sub>N<sub>4</sub> doped-BiOBr is a better catalyst that increases specific semiconductor's catalytic activity (CA).</p>","PeriodicalId":12646,"journal":{"name":"Global Challenges","volume":"7 12","pages":""},"PeriodicalIF":4.9,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gch2.202300118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135138094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alicia Vivas Hernando, Wenjing Sun, Tiffany Abitbol
Fungi adapt to their surroundings, modifying their behaviors and composition under different conditions like nutrient availability and environmental stress. This perspective examines how a basic understanding of fungal genetics and the different ways that fungi can be influenced by their surroundings can be leveraged toward the production of functional mycelium materials. Simply put, within the constraints of a given genetic script, both the quality and quantity of fungal mycelium are shaped by what they eat and where they grow. These two levers, encompassing their global growth environment, can be turned toward different materials outcomes. The final properties of myco-materials are thus intimately shaped by the conditions of their growth, enabling the design of new biobased and biodegradable material constructions for applications that have traditionally relied on petroleum-based chemicals.This perspective highlights aspects of fungal genetics and environmental adaptation that have potential materials science implications, along the way touching on key studies, both to situate the state of the art within the field and to punctuate the viewpoints of the authors. Finally, this work ends with future perspectives, reinforcing key topics deemed important to consider in emerging myco-materials research.
{"title":"“You Are What You Eat”: How Fungal Adaptation Can Be Leveraged toward Myco-Material Properties","authors":"Alicia Vivas Hernando, Wenjing Sun, Tiffany Abitbol","doi":"10.1002/gch2.202300140","DOIUrl":"10.1002/gch2.202300140","url":null,"abstract":"<p>Fungi adapt to their surroundings, modifying their behaviors and composition under different conditions like nutrient availability and environmental stress. This perspective examines how a basic understanding of fungal genetics and the different ways that fungi can be influenced by their surroundings can be leveraged toward the production of functional mycelium materials. Simply put, within the constraints of a given genetic script, both the quality and quantity of fungal mycelium are shaped by what they eat and where they grow. These two levers, encompassing their global growth environment, can be turned toward different materials outcomes. The final properties of myco-materials are thus intimately shaped by the conditions of their growth, enabling the design of new biobased and biodegradable material constructions for applications that have traditionally relied on petroleum-based chemicals.This perspective highlights aspects of fungal genetics and environmental adaptation that have potential materials science implications, along the way touching on key studies, both to situate the state of the art within the field and to punctuate the viewpoints of the authors. Finally, this work ends with future perspectives, reinforcing key topics deemed important to consider in emerging myco-materials research.</p>","PeriodicalId":12646,"journal":{"name":"Global Challenges","volume":"8 3","pages":""},"PeriodicalIF":4.9,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gch2.202300140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135340374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}