Article
Multidisciplinary Sciences
Andrew Adamatzky
Summary: By analyzing the electrical activity of fungi, we found that the spike characteristics are species specific and spikes are often clustered into trains. We grouped these spikes into words and analyzed the linguistic and information complexity of fungal spiking activity. The distributions of fungal word lengths were found to match that of human languages, and species S. commune generated the most complex sentences.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Viktoria Heine, Tom Kremers, Nora Menzel, Uwe Schnakenberg, Lothar Elling
Summary: The study presents a novel electrochemical impedance spectroscopy sensor for real-time monitoring of bacterial fucosyltransferase binding kinetics. By immobilizing a multivalent neoglycoprotein on the sensor, the researchers were able to detect glycosyltransferase activities and protein-glycan interactions, which could be valuable for detecting pathogenic bacteria and cancer cells in future biomedical applications.
Review
Microbiology
Ashish Kumar, Vinita Verma, Vimal Kumar Dubey, Alok Srivastava, Sanjay Kumar Garg, Vijay Pal Singh, Pankaj Kumar Arora
Summary: Fungal lipases are important industrial enzymes with numerous applications in various fields. They are carboxylic acid esterases belonging to the serine hydrolase family, and can be easily extracted and purified from fungi. Fungal lipases have applications in hydrolyzing fats and oils, as well as in synthetic reactions such as esterification and interesterification. They are affected by factors such as carbon source, nitrogen source, temperature, pH, metal ions, surfactants, and moisture content. Immobilizing fungal lipases onto different carriers improves their catalytic activities and efficiencies, making them suitable as biocatalysts in industries.
FRONTIERS IN MICROBIOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Goeun Park, Hanbin Park, Sang-Chan Park, Moonbong Jang, Jinho Yoon, Jae-Hyuk Ahn, Taek Lee
Summary: Zika virus (ZIKV) and dengue virus (DENV) infections are becoming more common due to global warming. Accurate diagnosis is essential for controlling these viral infections. Recent research has focused on developing biosensors for the accurate diagnosis of ZIKV and DENV using DNA nanotechnology. These biosensors offer advantages over traditional diagnostic methods, such as PCR and ELISA. DNA can serve as a bioreceptor and be easily modified with functional groups, making it a valuable tool for the development of specific bioreceptors that bind to viral proteins or nucleic acids. This review discusses advances in DNA-nanotechnology-based biosensors for the detection of ZIKV and DENV.
Article
Chemistry, Analytical
Jinmyeong Kim, Seungwoo Noh, Jeong Ah Park, Sang-Chan Park, Seong Jun Park, Jin-Ho Lee, Jae-Hyuk Ahn, Taek Lee
Summary: Cytokines are proteins secreted by immune cells that play crucial roles in cell signaling and cell life processes. Monitoring cytokine secretion in vivo is important for medical and biological research.
Article
Chemistry, Physical
Moonbong Jang, Myoungro Lee, Hiesang Sohn, Chulhwan Park, Taek Lee
Summary: We developed a rapid electrical biosensor for detecting Zika virus infection using a truncated DNA aptamer and alternating current electrothermal flow technique. The biosensor showed a linear increase in waveform as the concentration of Zika envelope in the serum increased, with a detection limit of 90.1 pM.
Review
Biology
Dionisio Lorenzo Lorenzo-Villegas, Namra Vinay Gohil, Paula Lamo, Swathi Gurajala, Iulia Cristina Bagiu, Dan Dumitru Vulcanescu, Florin George Horhat, Virgiliu Bogdan Sorop, Mircea Diaconu, Madalina Ioana Sorop, Andrada Oprisoni, Razvan Mihai Horhat, Monica Susan, Arunsundar Mohanasundaram
Summary: This review discusses different biosensor technologies for detecting medically significant Candida species, particularly Candida albicans and C. auris, and their applications in the medical setting.
Letter
Medicine, General & Internal
Jan O. Friedrich, Elisa Gouvea Bogossian
Summary: In a trial evaluating the efficacy of hydrocortisone in treating community-acquired pneumonia, researchers found a nearly 50% lower 28-day mortality rate in the hydrocortisone group compared to the placebo group. They also observed a higher incidence of septic shock in the placebo group. The trial did not allow the use of open-label glucocorticoids, which may have contributed to the higher mortality rate in the placebo group.
NEW ENGLAND JOURNAL OF MEDICINE
(2023)
Article
Plant Sciences
Zsolt Szucs, Tamas Plaszko, Eszter Bodor, Hajnalka Csoma, Lajos Acs-Szabo, Attila Kiss-Szikszai, Gabor Vasas, Sandor Gonda
Summary: The glucosinolates of Brassicaceae plants can be converted into bioactive isothiocyanates and other volatiles during stressful conditions. However, the role of weaker alternative products, such as nitriles, is not well understood.
Article
Biochemistry & Molecular Biology
Juan Antonio Valera-Calero, Umut Varol
Summary: This study investigated the correlation between routinary physical activity and chronic neck pain severity indicators and salivary cortisol. The results showed that female sex, sedentary behaviors, and pain sensitivity were associated with higher cortisol levels. Worse disability, pain intensity, and pain pressure thresholds were associated with lower physical activity levels.
Article
Endocrinology & Metabolism
Francesca Delle Cese, Andrea Corsello, Marco Cintoni, Pietro Locantore, Alfredo Pontecorvi, Salvatore Maria Corsello, Rosa Maria Paragliola
Summary: Switching from IR-HC to lower-dose DR-HC in PAI patients showed significant improvements in clinical, biochemical and metabolic parameters, leading to decreased ACTH levels, HbA1C, total cholesterol, triglycerides, LDL cholesterol, BMI, and increased quality of life. Both once-daily and fractionated daily doses of DR-HC were effective in improving metabolic control and QoL in PAI.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Siti Fatimah Abd Rahman, Nor Azah Yusof, Mohd Khairuddin Md Arshad, Uda Hashim, Mohammad Nuzaihan Md Nor, Mohd Nizar Hamidon
Summary: A highly sensitive silicon nanowire-based sensor device was developed using electron beam lithography integrated with CMOS technology. The device showed good alignment and linearity for pH sensing, and could also be used for detecting specific ssDNA molecules.
Article
Chemistry, Analytical
Yen-Ning Chen, Cheng-Hsun Ho
Summary: In this study, an uncharacterized member of the NPF family in Arabidopsis, NPF1.3, was converted into a nitrate-specific transporter activity biosensor, demonstrating its important role in nitrate transport in Arabidopsis.
Article
Nanoscience & Nanotechnology
Goeun Park, Myoungro Lee, Jiatong Kang, Chulwhan Park, Junhong Min, Taek Lee
Summary: In this study, an electrical biosensor based on Zika virus aptamer/MXene nanoparticle heterolayer was developed for detecting Zika virus in human serum. The capacitance signal of the biosensor increased linearly with the increment of envelope proteins, and the limit of detection was determined to be 38.14 pM. This electrical aptabiosensor can serve as a useful tool for Zika virus detection.
Article
Chemistry, Analytical
Lan-Yi Wei, Wei Lin, Bey-Fen Leo, Lik-Voon Kiew, Chia-Ching Chang, Chiun-Jye Yuan
Summary: The developed miniature tyrosinase-based sensing platform enables label-free detection of protein tyrosine kinase activity with high reproducibility and low detection limit. It can accurately assess the inhibitory effect of inhibitors on different kinases, providing a potential effective tool for kinase activity detection and inhibitor evaluation.
Review
Biology
Andrew Adamatzky, Phil Ayres, Alexander E. Beasley, Alessandro Chiolerio, Mohammad M. Dehshibi, Antoni Gandia, Elena Albergati, Richard Mayne, Anna Nikolaidou, Nic Roberts, Martin Tegelaar, Michail-Antisthenis Tsompanas, Neil Phillips, Han A. B. Wosten
Summary: Fungal electronics are a type of living electronic devices made of mycelium, capable of changing impedance and generating electrical spikes in response to external control parameters. They can be embedded into fungal materials and wearables, or used as stand alone sensing and computing devices.
Review
Chemistry, Physical
Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Konrad Szacilowski, Andrew Adamatzky
Summary: Advancements in flexible electronic devices and robotic software have the demand for sensors and controllers that lack traditional electronic components, and that are deformable and stretch-resistant. Liquid electronic devices that imitate biological synapses are the perfect core component for flexible liquid circuits, as they possess unbeatable traits such as flexibility, reconfiguration, and fault tolerance. Mimicking ionic movements is considered the simplest way to implement neuromorphic systems in material computing systems, and a series of experimental laboratory prototypes have been developed using liquids, colloids, and gels.
Article
Chemistry, Multidisciplinary
Marco Crepaldi, Charanraj Mohan, Erik Garofalo, Andrew Adamatzky, Konrad Szacilowski, Alessandro Chiolerio
Summary: Magnetic fluids have potential in various research fields, but their computing capability has not been proven. This study demonstrates that a Fe3O4 water-based ferrofluid can perform electrical analogue computing and be programmed using quasi DC signals and read at RF mode. The fluid shows memristive behavior and is capable of classifying digits and conducting physical reservoir computing. This work opens up possibilities for in-memory computing and full-electric liquid computers using a fluid system.
ADVANCED MATERIALS
(2023)
Article
Multidisciplinary Sciences
Andrew Adamatzky, Giuseppe Tarabella, Neil Phillips, Alessandro Chiolerio, Passquale D'Angelo, Anna Nikolaidou, Georgios Ch. Sirakoulis
Summary: In this study, we demonstrated the possibility of creating electrical circuits on living kombucha mats, and these circuits maintained their functionality even after repeated bending and stretching. Furthermore, the lightweight, cost-effective, and highly flexible properties of kombucha pave the way for its diverse applications.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Mohammad Mahdi Dehshibi, Bita Baiani, Gerard Pons, David Masip
Summary: This article proposes the use of multimodal data collected from Instagram accounts to predict the five basic prototypical needs described in Glasser's choice theory. By automating the identification of unconsciously perceived needs from Instagram profiles using visual and textual contents, a fusion of both modalities is performed through multi-label classification. The proposed approach shows promising accuracy and complementary information between visual and textual cues, as validated on a large database consensually annotated by two expert psychologists.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Chemistry, Multidisciplinary
Federico Taranto, Luigi Assom, Alessandro Chiolerio
Summary: This paper introduces a sustainability framework for global and scalable payment systems, based on energy and resource consumption and pollutant classes. The framework is designed for the implementation of blockchain-based technologies in a Life-Cycle Assessment methodology. It aims to consider the impacts at stakeholders' level and extend the impact allocation to the level of products and services through software integration.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Shabanov Nabi, Sagim Suleymanov, Akhmed Amirov, Mansur Ataev, Abdulgalim Isaev, Alessandro Chiolerio, Kurban E. Magomedov, Sultanahmed Gadzhimagomedov, Ruslan Muradovich Emirov
Summary: This work focuses on studying the basics of forming high-quality functional printed copper layers at low temperatures. The decomposition process of copper formate and its ligand-based complexes (ammonia, ethylamine, diethylamine, and pyridine) is described, and the structural and thermal features of the samples are analyzed. The study proposes a self-consistent model that describes the limitations of existing models for the decomposition process of copper formate and its complex compounds.
ACS APPLIED ELECTRONIC MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Alessandro Chiolerio, Giuseppe Vitiello, Mohammad Mahdi Dehshibi, Andrew Adamatzky
Summary: The in situ measurement of bioelectric potentials in superior plants provides valuable insights into their biological activity and responses to lunar and solar cycles. This study highlights the correlation between higher-order complexity measurements and thermodynamic entropy, suggesting that bioelectric signals can reflect plant metabolism. The temporal correlations of bioelectric signals among different trees are explored through the lens of quantum field theory, revealing the forest as a collective array of in-phase elements whose correlation is naturally tuned by environmental conditions. These findings support the potential of living plant ecosystems as environmental sensors.
Article
Nanoscience & Nanotechnology
Matteo Bevione, Alessandro Chiolerio, Giulia Tagliabue
Summary: In this work, oil-based plasmonic nanofluids are shown to possess high photothermal efficiency and strong heat localization, providing unprecedented opportunities for the development of liquid-based energy generation systems for soft, stand-alone devices.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria, Nadia Bianchi-Berthouze, Ana Tajadura-Jimenez
Summary: Studies on applying deep learning to biometrics analysis are growing. This study focuses on a specific situation where individuals with chronic pain adapt their body movements unconsciously, which may potentially affect their biometrics. The proposed method, a sparsely-connected recurrent neural networks ensemble combined with the gated recurrent unit, achieves better classification results in pain level and pain-related behavior compared to state-of-the-art approaches.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Neil Phillips, Andrew Adamatzky
Summary: The colloids under electrical stimuli can be reconfigured for information storage and computation. The relationship between critical resistance and stimulation time was reconstructed, and it was found that the critical voltage required to drop resistance decreases with increasing stimulation time. The dispersion of conductive ZnO nanoparticles in the DMSO polymeric matrix was characterized using FESEM and UV-visible absorption spectrum.
Article
Computer Science, Software Engineering
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
Summary: This paper introduces a new explainability method called ADVISE, which leverages the relevance of each unit in the feature map to provide better visual explanations. The authors also propose an evaluation protocol to quantify the visual explainability of CNN models and validate the effectiveness of their method in extensive image classification tasks.
Article
Computer Science, Theory & Methods
Max Talanov, Jordi Vallverdu, Andrew Adamatzky, Alexander Toschev, Alina Suleimanova, Alexey Leukhin, Ann Posdeeva, Yulia Mikhailova, Alice Rodionova, Alexey Mikhaylov, Sergey Shchanikov, Svetlana Gerasimova, Mohammad Mahdi Dehshibi, Alexander Hramov, Victor Kazantsev, Tatyana Tsoy, Evgeni Magid, Igor Lavrov, Victor Erokhin, Kevin Warwick
Summary: This article reviews and provides insights into the new direction of the Neuropunk revolution, which is founded on the advancements in neuromorphic technologies and unconventional approaches to AI and computing. The revolution integrates mechanical and biological tissues, as well as robotic systems inspired by biological processes.
INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
Summary: This paper proposes a transfer learning strategy based on partially supervised reinforcement learning to improve the performance of convolutional neural networks by selecting informative samples and avoiding negative transfers from the dataset.
2022 IEEE INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (IEEE COINS 2022)
(2022)