Review
Medicine, General & Internal
Zena Rokan, Constantinos Simillis, Christos Kontovounisios, Brendan Moran, Paris Tekkis, Gina Brown
Summary: This review evaluates the largest number of LRRCs to date using a single classification system. It has also highlighted the need for standardized reporting in order to optimize perioperative treatment planning.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Cell Biology
Mikhail Blagosklonny
Summary: This article proposes hallmarks of aging based on a hierarchical principle and the hyperfunction theory. It suggests that unlike cancer, aging is not a molecular disease, but rather a result of normal intracellular signaling pathways becoming hyperfunctional, leading to a range of age-related diseases.
Article
Chemistry, Multidisciplinary
Mark Bronakowski, Mahmood Al-khassaweneh, Ali Al Bataineh
Summary: Clickbait headlines are misleading titles that aim to attract attention and encourage users to click on a link. These links can contain malware, trojans, and phishing attacks. Clickbaiting is a subtle method used by hackers and scammers. This paper presents a method that utilizes semantic analysis and machine learning to identify clickbait headlines. The proposed models achieved an accuracy of 98% in classifying clickbait headlines, and can serve as a template for developing practical applications to automatically detect clickbait headlines.
APPLIED SCIENCES-BASEL
(2023)
Review
Oncology
Alexandra C. Costa, Joana M. O. Santos, Rui M. Gil da Costa, Rui Medeiros
Summary: Tumor-infiltrating immune cells play critical roles in the tumor microenvironment, contributing to the establishment of various cancer hallmarks and serving as potential therapeutic targets. Additional studies are needed to explore the therapeutic potential of TIICs and improve cancer patient outcomes.
CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
(2021)
Article
Metallurgy & Metallurgical Engineering
Lu Xie, Weigang Li, Lixia Fan, Mingxing Zhou
Summary: This article proposes an automatic classification model to identify the multiphase microstructures of steels using semantic segmentation, achieving automatic statistics of the relative content of each crystalline phase. The experimental results demonstrate that the improved fully convolutional network ASPP-FCN has better segmentation effect in the automatic recognition of the multiphase microstructures of steels.
STEEL RESEARCH INTERNATIONAL
(2023)
Review
Oncology
Douglas Hanahan
Summary: The concept of the hallmarks of cancer is a tool for simplifying the complexity of cancer phenotypes and genotypes into basic principles. This article proposes phenotypic plasticity and disrupted differentiation as distinct hallmark capabilities, and discusses nonmutational epigenetic reprogramming and polymorphic microbiomes as enabling characteristics. Additionally, the importance of senescent cells in the tumor microenvironment is highlighted. The integrative concept of the hallmarks of cancer helps in understanding the mechanisms of cancer development and applying that knowledge to cancer medicine.
Review
Oncology
Mate A. Demeny, Laszlo Virag
Summary: Members of the PARP enzyme family play crucial roles in regulating cancer cell characteristics, including tumor invasion, metastasis, anti-cancer immune response, and tumor-associated inflammation. PARP inhibitors have potential applications in treating BRCA1/2 deficient tumors, but their biological effects are broad and should be evaluated in a wider context.
Article
Health Care Sciences & Services
Manuel A. Soto-Murillo, Jorge I. Galvan-Tejada, Carlos E. Galvan-Tejada, Jose M. Celaya-Padilla, Huizilopoztli Luna-Garcia, Rafael Magallanes-Quintanar, Tania A. Gutierrez-Garcia, Hamurabi Gamboa-Rosales
Summary: This study analyzed the main cause of death being heart disease in Mexico and globally, and the application of machine learning algorithms in classifying heart sounds. The results showed that logistic regression performed best on the standardized dataset, while Support Vector Machine showed significant performance on the non-standardized data.
Article
Computer Science, Interdisciplinary Applications
Mauro Dalle Lucca Tosi, Julio Cesar dos Reis
Summary: A novel approach is proposed to structure scientific fields, using semantic analysis from natural language texts to construct knowledge graphs, clustering topics and automatically extracting information, achieving high accuracy in document classification without annotated data in two different domains.
JOURNAL OF INFORMETRICS
(2021)
Review
Cell Biology
Carlos Lopez-Otin, Federico Pietrocola, David Roiz-Valle, Lorenzo Galluzzi, Guido Kroemer
Summary: Both aging and cancer share similar characteristics, known as hallmarks, some of which are common metahallmarks. While some aging hallmarks suppress cancer development, others have context-dependent effects. The relationship between aging-associated nutrient-sensing and cancer-related cellular metabolism alterations is complex. Understanding the interplay between aging and cancer has significant implications for cancer morbidity and mortality in the elderly and for therapeutic strategies.
Article
Computer Science, Artificial Intelligence
Xu Mingying, Junping Du, Xue Zhe, Kou Feifei, Xu Xin
Summary: This paper introduces a semi-supervised semantic-enhanced scientific literature retrieval framework, which improves retrieval performance by jointly training two networks and outperforms baseline methods.
Article
Biochemical Research Methods
Yi Chen, Fons. J. Verbeek, Katherine Wolstencroft
Summary: This study compares different strategies for mapping cancer hallmarks based on Gene Ontology and biological pathway annotation. The analysis of semantic similarity between annotations and gene set overlap reveals emerging consensus knowledge. The results highlight the importance of reaching a consensus in identifying cancer hallmark activity for systematic data integration and comparison between studies.
BMC BIOINFORMATICS
(2021)
Review
Biochemistry & Molecular Biology
May-Britt Firnau, Angela Brieger
Summary: In this study, evidence from literature is compiled to suggest that CK2 modulates all hallmarks of cancer, thereby promoting oncogenesis and operating as a cancer driver by creating a cellular environment favorable to neoplasia.
Review
Cell Biology
Natalya N. Pavlova, Jiajun Zhu, Craig B. Thompson
Summary: The metabolism of cancer cells is highly adaptable, allowing them to sustain growth and proliferation. This adaptation can also influence the behavior of non-transformed cells in the tumor vicinity.
Article
Immunology
Chun Jye Lim, Phuong Hoang Diem Nguyen, Martin Wasser, Pavanish Kumar, Yun Hua Lee, Nurul Jannah Mohamed Nasir, Camillus Chua, Liyun Lai, Sharifah Nur Hazirah, Josh Jie Hua Loh, Li Yan Khor, Joe Yeong, Tony Kiat Hon Lim, Alvin Wei Xiang Low, Salvatore Albani, Tsung Wen Chong, Valerie Chew
Summary: This study identified immune subset changes and gene expression features associated with BCG treatment by analyzing patient blood and tissue samples. It also found that baseline densities of non-Treg and CD8(+)PD-1(+) T cells were predictive of response and recurrence-free survival after BCG. Furthermore, the study revealed predictive biomarkers for response and resistance mechanisms to BCG.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Environmental Sciences
Imran Ali, Stoyanova Alyona, Kon'kova Tatiana, Gaydukova Anastasiya, Hassan M. Albishri, Wael Hamad Alshitari
Summary: A sorption-electroflotation method using carbon nanomaterials was developed to remove non-biodegradable and carcinogenic toxic metal ions. Carbon nanotubes (CNTs) and carbon nanoshells (CNSs) were used to remove Ni(II), Co(II), Zn(II), Fe(II), and Cu(II). Surface properties and composition of the nanomaterials were characterized, and different models were applied to analyze the data. The method showed excellent removal efficiency, with the highest percentage removal achieved through simultaneous sorption-electroflotation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Imran Ali, Hokman Mahmudov, Gunel Imanova, Telman Suleymanov, Ahmed M. Hameed, Ahmed Alharbi
Summary: Hydrogen production through water splitting using Al2O3 nanoparticles as a radiation catalyst with gamma rays irradiation was studied. The effects of different particle sizes, surface area, amounts of radiation catalyst, and irradiation time were investigated. It was found that smaller-sized nanoparticles resulted in higher hydrogen production.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Imran Ali, Teymur Agayev, Gunel T. Imanova, Hokman Mahmudov, Shahla Musayeva, Omar M. L. Alharbi, Mohammad Nahid Siddiqui
Summary: The production of economic green hydrogen fuel is in high demand. In this study, hydrogen generation by water radiolysis of a hexane-water system on ZrO2 surface was investigated at different temperatures. The radiation-catalytic decomposition of hexane-water increased at high temperatures and resulted in an increase in hydrogen production. At a temperature of 673 K, a chain mode conversion of the key products of hexane-water led to molecular hydrogen. The maximum yield of hydrogen achieved was 188.5 molecule/100 eV with the n-ZrO2 + C6H14(ads)-water (0.003 g: 0.0051 g: 0.0015 g) system at 673 K.
Review
Biochemistry & Molecular Biology
Cristian D'Ovidio, Marcello Locatelli, Miryam Perrucci, Luigi Ciriolo, Kenneth G. Furton, Isil Gazioglu, Abuzar Kabir, Giuseppe Maria Merone, Ugo de Grazia, Imran Ali, Antonio Maria Catena, Michele Treglia, Luigi T. Marsella, Fabio Savini
Summary: LC-MS/MS plays a crucial role in screening and tracking pharmacotoxicological and forensic cases due to its advanced features. This review paper focuses on its applications in pharmacotoxicology and highlights its importance in the development of pharmacological and forensic research. It discusses therapeutic drug monitoring and clinical approaches as well as the determination of illicit drugs.
Review
Chemistry, Multidisciplinary
Valentina Greco, Alessandro Giuffrida, Marcello Locatelli, Fabio Savini, Ugo de Grazia, Luigi Ciriolo, Miryam Perrucci, Abuzar Kabir, Halil Ibrahim Ulusoy, Cristian D'Ovidio, Imran Ali
Summary: This review focuses on the sample preparation for forensic analysis, including elimination of interferents, specimen cleanup, and extraction of analytes of interest to reduce matrix effect. The selection of literature provides a general overview of the state-of-the-art in this field. Different biological matrices, such as blood and urine, are commonly used to investigate substances related to death, while other body fluids like bile and oral fluids are still under discussion for their usability. The review also categorizes solid matrices obtained after autopsy into conventional and unconventional matrices for better understanding, considering widely used pretreatment techniques and representative innovative techniques.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Inorganic & Nuclear
Imran Ali, Zeid A. ALOthman, X. Y. Mbianda, Al Arsh Basheer
Summary: Nanoporous carbon was synthesized and characterized, and it exhibited a high removal efficiency of 94.0% for amoxicillin antibiotic in water. The adsorption process followed Langmuir, Temkin and D-Rs models, and it was controlled by a pseudo-first-order kinetic model. Thermodynamic analysis indicated that the adsorption was spontaneous. This inexpensive method could be employed for large-scale removal of amoxicillin, achieving a high adsorption level of 572 μg/g.
INORGANIC CHEMISTRY COMMUNICATIONS
(2023)
Article
Chemistry, Inorganic & Nuclear
Imran Ali, Gunel T. Imanova, Abdullah Alamri, Sayed Zenab Hasan, Al Arsh Basheer
Summary: Polyhydroquinone graphene oxide nanocomposite was synthesized and used for the removal of cephalexin antibiotic from water. The experimental results showed that the nanocomposite has a high efficiency in removing cephalexin, and the sorption process is spontaneous. Simulation investigation confirmed the physical sorption of cephalexin on the nanocomposite.
INORGANIC CHEMISTRY COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Imran Ali, Yu Pakharukov, F. K. Shabiev, E. Galunin, R. F. Safargaliev, S. A. Vasiljev, B. S. Ezdin, A. E. Burakov, Zeid A. Alothman, Mika Sillanpaa
Summary: In this study, graphene-based nanofluids were synthesized and their viscosities were determined. The molecular interactions of graphene nanoparticles were theoretically analyzed to understand the mechanisms affecting the viscosity of nanofluids. An analytical function describing the dependence of the relative viscosity on the concentration of graphene nanoparticles was obtained based on experimental results. It was found that the viscosity of the nanofluid was influenced by the structure of the graphene sheets, and the self-assembly of the nanoparticles played a crucial role in the viscosity changes.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Chemistry, Analytical
Syed Dilshad Alam, Mirza Adil Beg, Muralidhararao Bagadi, Marcello Locatelli, Zeid A. Alothman, Mohd Mustaqeem, Imran Ali
Summary: Berberine was extracted from Berberis vulgaris, Berberis aquifolium, and Hydrastis canadensis using ethanol and water (70:30, v/v). The extracted berberine was characterized using UV-visible and Fourier-transform infrared spectroscopy. Thin-layer chromatography and high-performance liquid chromatography (HPLC) methods were both employed for the separation and identification of berberine, and showed different applications. The extracted berberine exhibited better activity in treating Leishmaniosis compared to the standard drug Amphotericin B.
JOURNAL OF SEPARATION SCIENCE
(2023)
Article
Chemistry, Analytical
Khadidja Addadi, Khaled Sekkoum, Nasser Belboukhari, Zeid A. ALOthman, Ahmed M. Aljuwayid, Mika Sillanpaa, Imran Ali
Summary: In this study, the enantio-separation of three chiral sulfoxide drugs was achieved on a Chiralpak AS-3R column using acetonitrile-water as the mobile phase. The chiral separation was validated properly with LOD and LOQ values of 9.70-14.16 and 29.39-42.91 μg/mL, respectively. The enantiomer elution order was confirmed through experimental and theoretical methods. A simple, fast, reliable, and thermodynamically stable HPLC method was developed for the separation and determination of enantiomer elution order of the chiral sulfoxide drugs.
MICROCHEMICAL JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Imran Ali, Anastasya Gaydukova, Tatiana Kon'kova, Zeid Abdullah ALOthman, Mika Sillanpaa
Summary: This study investigated the acid leaching process of grinding waste from a heat-resistant nickel alloy. Optimal conditions for acid dissolution were established to maximize the extraction of nickel, the main component of the alloy. These results are significant for industry professionals in metal recovery and environmentalists in waste treatment.
Article
Engineering, Chemical
Imran Ali, Aleksandr Shchegolkov, Aleksey Shchegolkov, Maksim Aleksandrovich Chumak, Nashchekin Alexey Viktorovich, Likhachev Kirill Vasilievich, Gunel Imanova, Tonni Agustiono Kurniawan, Mohamed A. Habila
Summary: Multi-walled carbon nanotubes (MWCNTs) synthesized by the microwave method were found to enhance the thermal and electrical conductivity of silicone elastomers. The highest thermal conductivity achieved was 0.48 W/m°C with 8.0 wt% MWCNTs, while the highest electrical conductivity reached 2.4 x 10-5 S/cm. Microwave-synthesized MWCNTs demonstrated high stability in an electrical resistance heater application, making them suitable for household appliances.
POLYMER ENGINEERING AND SCIENCE
(2023)
Review
Energy & Fuels
Muhammad Sarfraz Arshad, Xavier Yangkou Mbianda, Imran Ali, Wanbing Guan, Tariq Kamal, Kimmo Kauhaniemi, Syed Zulqadar Hassan, Ghulam Yasin
Summary: This paper discusses the importance of nanomaterials in solid oxide fuel cells and the enhancement of active sites for electrode reactions through nanoengineering and composite approaches. The use of nanotechnology enables environmentally friendly and sustainable manufacturing processes for SOFCs. Additionally, the paper provides an overview of the applications of SOFCs, notable research institutions and companies, and future challenges and perspectives.
Article
Chemistry, Multidisciplinary
Imran Ali, Aicha Kraimi, Nasser Belboukhari, Khaled Sekkoum, Mouslim Messali
Summary: In order to enhance the anticoagulant activity of acenocoumarol, five new imino derivatives were synthesized and characterized. These derivatives were separated into their stereoisomers using chiral HPLC. The absolute configuration of all 20 stereoisomers was determined and their biological activities were predicted using DFT calculations.
NEW JOURNAL OF CHEMISTRY
(2023)
Article
Biochemical Research Methods
Maha Hasni, Nasser Belboukhari, Khaled Sekkoum, Raluca-Ioana Stefan-van Staden, Zeid A. Alothman, Ersin Demir, Imran Ali
Summary: The essential oil of Heliotropium bacciferum plant has significant medicinal value, and this study extracted and analyzed its essential oil, as well as evaluated its anti-inflammatory and anti-bacterial activities. The results showed that the essential oil displayed effective anti-inflammatory and anti-bacterial properties, indicating its potential as a therapeutic agent.
ANALYTICAL BIOCHEMISTRY
(2023)
