Merely by existing, all physical systems contain information, and physical dynamics transforms and processes that information. This note investigates the information processing power of living systems. Living systems harvest free energy from the sun, from geothermal sources, and from each other. They then use that free energy to drive the complex set of chemical interactions that underlie life. All molecules -- be they simple molecules such as water, or complex molecules such as DNA -- register information via their chemical composition. When these molecules undergo chemical reactions, that information is transformed and processed. These chemical transformations can be thought of as elementary logical operations: such bio-ops include the absorption of a photon in a chromophore during photosynthesis, the formation or breaking of covalent, hydrogen, and van der Waals bonds in the process of metabolism and reproduction, or the release of a neurotransmitter molecule when a synapse fires in the brain. This paper estimates the total number of bio-ops that have been, and are being performed, by life on earth. We find that the current number of bio-ops performed by all life on earth is around $10^{33}-10^{35}$ bio-ops per second. The cells in an individual human being perform around $10^{20}-10^{22}$ bio-ops per second, comparable to the information processing power of all the computers, cell phones, and server farms on earth. Depending on how one defines a neural operation, at most a few percent of human bio-ops take place in the firing of neurons and synapses in the brain. Over the course of life on earth, about $10^{50}-10^{52}$ bio-ops have taken place.
Rana Muhammad Zulqarnain, Imran Siddique, Sameh Askar
et al.
Abstract The accurate determination of results in decision analysis is usually predicated on the association between two factors. Although generating data for analytical purposes presents an apparent hurdle, the data obtained may present hurdles in its interpretation. Correlation coefficients can be used to analyze the interaction between two factors and their variations. These coefficients deliver an objective description of the association between parameters, assisting in predicting and assessing alterations between particular parameters. The purpose of this research is to explore the applicability of correlation coefficients (CC) and weighted correlation coefficients (WCC) in interval-valued q-rung orthopair fuzzy hypersoft sets (IVq-ROFHSS) structures with their essential characteristics. These measures are developed to address the inevitable confusion, inconsistency, and volatility in real-life decision-making challenges. The implementation of these components attempts to boost the productivity of the technique for order preference by similarity to the ideal solution (TOPSIS) method. The computational models with correlation constraints are presented to determine the reliability and regularity of the proposed method. This research proves that the proposed technique is effective for multi-attribute group decision-making (MAGDM), particularly for analyzing and prioritizing convoluted data sets. Moreover, a numerical illustration is presented to clarify how the advocated decision-making methodology can be implemented in reality in evaluating bio-medical disposal techniques for hospitals. This study determines incineration as the most beneficial method for BMW disposal, demonstrating its more efficient use of alternative disposal techniques. A comparative analysis further substantiates the feasibility and effectiveness of the proposed approach over other decision-making techniques.
Electronic computers. Computer science, Information technology
Metasurface biosensing confronts a significant challenge in simultaneously achieving broadband response, high quality-factor (Q-factor), and ultrahigh sensitivity for specific trace-analyte detection at terahertz (THz) frequencies. Recently, quasi-bound states in the continuum (QBICs) metasurfaces provided enhanced light–matter interactions and ultrahigh sensitivity in narrow resonant bands. In this work, an angle-scanning QBIC metasurface array pixelated with just 5 × 5 scaling units is proposed to achieve an ultra-broad spectrum from 1 to 2.8 THz for fingerprint bio-detection. The symmetry-protected QBIC is excited by breaking the symmetry of copper block dimer resonator structures, achieving a Q-factor of 20 and a sensitivity of 500 GHz/RIU. A spectral step of approximately 10 GHz is demonstrated in this approach, and glutamic acid and glutamine are specifically detected, with detection limits reaching 15.4 μg/cm<sup>2</sup> and 14.7 μg/cm<sup>2</sup>. This design provides a novel approach for achieving ultra-wideband, specific, and highly sensitive detection. This capability offers an efficient strategy for monitoring tumor metabolic biomarkers and paves the way for applications in early diagnosis and advanced broadband THz detection.
Nisha Choudhary, M.M. Kumawat, M.M. Sundria
et al.
A field experiment was undertaken to investigate the effectiveness of certain bio-pesticides against the cumin aphid, Myzus persicae (Sulzer). The study was done on the Gujarat cumin-4 (GC-4) variety, which was cultivated at the Agricultural University, Jodhpur during Rabi, 2020-21. First spray of bio- pesticides was carried out at initiation of pest and second after 20 days. Among the evaluated bio-pesticides, Verticillium lecanii 1.15 WP and Metarhizium anisopliae 1.15 WP were found effective against aphids on cumin. The higher production of cumin seeds as well as net realization was obtained from Verticillium lecanii and Metarhizium anisopliae treated plots against control. However, the standard check (Imidachloprid 17.8 SL) was found most effective which was also reflected in yield as well as in the economics. Among biopesticides Verticillium lecanii 1.15 WP and Metarhizium anisopliae 1.15 WP obtained highest ICBR 1:26.96 and 1:22.40, respectively.
The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of Talos to Aristotelian logic and Heron's inventions, we have sought to replicate the marvels of the mind. While recent advances in AI hold promise, singular approaches often fall short in capturing the essence of intelligence. This paper explores how fundamental principles from biological computation--particularly context-dependent, hierarchical information processing, trial-and-error heuristics, and multi-scale organization--can guide the design of truly intelligent systems. By examining the nuanced mechanisms of biological intelligence, such as top-down causality and adaptive interaction with the environment, we aim to illuminate potential limitations in artificial constructs. Our goal is to provide a framework inspired by biological systems for designing more adaptable and robust artificial intelligent systems.
We propose and demonstrate a high-quality (<inline-formula><tex-math notation="LaTeX">$Q$</tex-math></inline-formula>) bound state in the continuum (BIC) cavity based on a hexagonal lattice photonic crystal (PhC) slab with <inline-formula><tex-math notation="LaTeX">$C_{6}$</tex-math></inline-formula> symmetry, which carries high-order topological charges of <inline-formula><tex-math notation="LaTeX">$q=-\text{2}$</tex-math></inline-formula>. By combining the lateral photonic bandgap and high-order topological charge, we realize a <inline-formula><tex-math notation="LaTeX">$Q$</tex-math></inline-formula> of <inline-formula><tex-math notation="LaTeX">$\text{7}\times \text{10}^{4}$</tex-math></inline-formula> in the experiment which is several times higher than traditional BIC cavities with topological charge of <inline-formula><tex-math notation="LaTeX">$q=\pm\text{1}$</tex-math></inline-formula>. Specifically, we found that the boundary orientation would significantly influence the performance of lateral confinement. In contrast to an X direction boundary, a gradient J direction boundary can best alleviate the shortcoming of lateral leakage due to incomplete bandgap and the scattering because of momentum mismatching, and relax the strict constraints on wafer thickness. Our findings could broaden the application of BIC cavities from bio-sensing to on-chip telecommunication.
Akanksha J. Rajguru, Ashwani K. Mishra, Rachna Bhargava
et al.
Background:
Nomophobia or no-mobile-phone phobia, defined as the fear of being unable to use or being unreachable via one’s mobile phone. The pervasive concern has varied bio-psychosocial and clinical implications in an individual’s life. Nomophobia is currently in an exploratory phase.
Methods:
A scoping review was conducted to systematically map the relevant evidence and literature on nomophobia. The review of scholarly literature spanning from January 2010 to May 2023 employed a narrative synthesis methodology to succinctly encapsulate the research findings. Additionally, it encompassed a meticulous examination and visual representation of studies, detailing both the frequency of investigation into specific variables and the instances in which said variables exhibited a statistically significant association with nomophobia.
Results:
A thorough examination of 92 studies revealed a total of 133 variables spanning demographic, lifestyle-related, academic, smartphone-related, psychosocial, and clinical domains. Notably, 42.86% of these variables have only been investigated in a single research study, underscoring the imperative for replication to enhance the generalizability, validity, and applicability of research findings. Moreover, the review identifies Nomophobia Questionnaire (NMP-Q) by Yildirim and Correia as the most widely used tool for measuring the severity of nomophobia.
Conclusion:
There is a crucial need for homogeneity and consistency in reporting nomophobia scores and establishing corresponding gradations indicative of functional ramifications or clinical severity of nomophobia. The findings elucidate significant research gaps in existing literature on nomophobia, hold implications for further synthesis of data, and contribute to a comprehensive understanding of nomophobia; ensuring superior diagnostic accuracy and precision, and facilitating successful delivery of targeted interventions.
Arianna Bellingeri, Gian Marco Palmaccio, Claudio Cecone
et al.
The ability to employ waste products, such as vegetable scraps, as raw materials for the synthesis of new promising adsorbing materials is at the base of the circular economy and end of waste concepts. Dextrin-based nanosponges (D_NS), both cyclodextrin (CD) and maltodextrin (MD), have shown remarkable adsorption abilities in the removal of toxic compounds from water and wastewater, thus representing a bio-based low-cost solution which is establishing itself in the market. Nevertheless, their environmental safety for either aquatic or terrestrial organisms has been overlooked, raising concern in terms of potential hazards to natural ecosystems. Here, the environmental safety (ecosafety) of six newly synthesized batches of D_NS was determined along with their full characterization by means of dynamic light scattering (DLS), thermogravimetric analysis (TGA), Fourier transformed infrared spectroscopy with attenuated total reflection (FTIR-ATR) and transmission electron microscopy (SEM). Ecotoxicity evaluation was performed using a battery of model organisms and ecotoxicity assays, such as the microalgae growth inhibition test using the freshwater Raphidocelis subcapitata and the marine diatom Dunaliella tertiolecta, regeneration assay using the freshwater cnidarian Hydra vulgaris and immobilization assay with the marine brine shrimp Artemia franciscana. Impact on seedling germination of a terrestrial plant of commercial interest, Cucurbita pepo was also investigated. Ecotoxicity data showed mild to low toxicity of the six batches, up to 1 mg/mL, in the following order: R. subcapitata > H. vulgaris > D. tertiolecta > A. franciscana > C. pepo. The only exception was represented by one batch (NS-Q+_BDE_(GLU2) which resulted highly toxic for both freshwater species, R. subcapitata and H. vulgaris. Those criticalities were solved with the synthesis of a fresh new batch and were hence attributed to the single synthesis and not to the specific D_NS formulation. No effect on germination of pumpkin but rather more a stimulative effect was observed. To our knowledge this is the first evaluation of the environmental safety of D_ NS. As such we emphasize that current formulations and exposure levels in the range of mg/mL do not harm aquatic and terrestrial species thus representing an ecosafe solution also for environmental applications.
The aim of this communication is to highlight the dangers of Q fever outbreaks in laboratories attempting isolation of Coxiella burnetii (C. burnetii) and other rickettsiae without Bio Safety Level (BSL)-3 facilities. This series is reported for the benefit of Microbiologists who evince interest in Rickettsial research. Four cases of Laboratory-acquired Q fever is presented among the laboratory personnel in a tertiary care teaching Hospital in Karnataka in 1977, which has not been reported yet. Four persons (one Lecturer, one animal technician and two M.Sc. students) who assisted in blood collection from slaughtered domestic livestock from butcheries and/or participated in the isolation of C. burnetii by guinea pig inoculation became seropositive for Q fever. The presence of antibodies to C. burnetii was demonstrated by two specific serological tests, Micro Agglutination Test (MAT) and Complement Fixation Test (CFT) for Q fever. They responded well to treatment with oxytetracycline, the drug of choice. It should be known that even microscopic demonstration of C. burnetii and other rickettsiae in the ectoparasites is hazardous, due to liberation of infective aerosol in the process. A safe commercial Q fever vaccine for laboratory and farm workers is presently available in Australia alone. Therefore, preventive measures like use of BSL-3 facility in the laboratory as well as animal house, wearing N95 face masks and protective clothing (PPE) are some of the essential precautions to follow so as to prevent laboratory acquired Q fever infection, which is an important occupational hazard.
Shipra Srivastava, Saptarshi Gupta, Vibhav Kumar Sachan
et al.
In this article a high gain (≈13dBi) circularly polarized dielectric resonator antenna (DRA) has been designed with silicon and graphene based nano materials for 6G terahertz (THz) nano communication and bio sensing applications. This antenna having 2.2 % (4.32 to 4.42THz) 3 dB axial ratio and 3.72 % (4.32 to 4.5 THz) impedance bandwidth. Circular Polarization (CP) is achieved by the combination of Silicon/11.9 and Graphene based cylindrical dielectric resonator with 450 inclined rectangular silicon dielectric slab having height 8.4 µm. Patch top cylindrical dielectric resonator filled with Silicon/11.9 material along with graphene material having chemical potential 0.1 eV and relaxation time 0.1 ps at 3000 K temperature. Proposed DRA having 55 % radiation efficiency with 13dBi gain to utilize its directive property as a bio sensor application. Proposed DRA also use as high frequency optical beam to utilize this DRA works as bio sensor to detect the hemoglobin in bio molecules having average sensitivity 2750 GHz/RIU, FOM-11.38 and Q factor 71.0. So that above properties proposed DRA is good candidate for 6G optical /nano communication and bio sensing applications.
Majd Barham, Masahiro Kuroda, Yuuki Yoshimura
et al.
A number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases.
Yu-Chuan Lin, Yu-Zhe Zhang, Shih-Hung Cheng
et al.
Summary: Traditional photonic systems are endowed with brand new properties owing to the addition of topological physics with light. A conjugated topological cavity-states (CTCS) in one-dimensional photonic systems is presented, which has not only robust light transport but also ultra-high performances, such as high quality factor (high-Q) and perfect transmission. This extraordinary CTCS can address the bottleneck of typical topological photonic systems, which can only achieve robust light transport without maintaining high performance. Furthermore, the CTCS is especially suitable for bio-photonic sensing with high resolution requirements. An ultra-sensitivity of 2000 nm/RIU and a high-Q of 109 for detecting the concentration of SARS-CoV-2 S-glycoprotein solution are obtained. Notably, the CTCS not only opens new possibilities for advanced photonics but also paves the way for high performance in topological photonic devices.
This article presents two new chemical plume tracing (CPT) algorithms for using on autonomous underwater vehicles (AUVs) to locate hydrothermal vents. We aim to design effective CPT navigation algorithms that direct AUVs to trace emitted hydrothermal plumes to the hydrothermal vent. Traditional CPT algorithms can be grouped into two categories, including bio-inspired and engineering-based methods, but they are limited by either search inefficiency in turbulent flow environments or high computational costs. To approach this problem, we design a new CPT algorithm by fusing traditional CPT methods. Specifically, two deep reinforcement learning (RL) algorithms, including double deep Q-network (DDQN) and deep deterministic policy gradient (DDPG), are employed to train a customized deep neural network that dynamically combines two traditional CPT algorithms during the search process. Simulation experiments show that both DDQN- and DDPG-based CPT algorithms achieve a high success rate (>90%) in either laminar or turbulent flow environments. Moreover, compared to traditional moth-inspired method, the averaged search time is improved by 67% for the DDQN- and 44% for the DDPG-based CPT algorithms in turbulent flow environments.
Abstract Fano resonance, known for its unique asymmetric line shape, has gained significant attention in photonics, particularly in sensing applications. However, it remains difficult to achieve controllable Fano parameters with a simple geometric structure. Here, a novel approach of using a thin‐film optical Fano resonator with a porous layer to generate entire spectral shapes from quasi‐Lorentzian to Lorentzian to Fano is proposed and experimentally demonstrated. The glancing angle deposition technique is utilized to create a polarization‐dependent Fano resonator. By altering the linear polarization between s‐ and p‐polarization, a switchable Fano device between quasi‐Lorentz state and negative Fano state is demonstrated. This change in spectral shape is advantageous for detecting materials with a low‐refractive index. A bio‐particle sensing experiment is conducted that demonstrates an enhanced signal‐to‐noise ratio and prediction accuracy. Finally, the challenge of optimizing the film‐based Fano resonator due to intricate interplay among numerous parameters, including layer thicknesses, porosity, and materials selection, is addressed. The inverse design tool is developed based on a multilayer perceptron model that allows fast computation for all ranges of Fano parameters. The method provides improved accuracy of the mean validation factor (MVF = 0.07, q‐q') compared to the conventional exhaustive enumeration method (MVF = 0.37).
A multifunctional, Gram-stain-negative, aerobic, motile by flagella, short-rod shaped bacteria, designated strain RG36T was isolated from roots of marigold plant (Tagetes patula) sampled at Dongguk University, Republic of Korea. A 16S rRNA sequences indicated that the closest phylogenetic neighbors were Paraburkholderia acidiphila 7Q-K02T (99.0%) and Paraburkholderia sacchari IPT101T (98.9%) of the family Burkholderiaceae. The draft genome size was 8.52 Mb (63.7% GC). The genome contained 7,381 coding sequences. Digital DNA–DNA hybridization (dDDH) and average nucleotide identity (ANI) values of strain RG36T with its most closely related species were only 83.1–88.7 and 27.6–36.7%, respectively. Strain RG36T contained Q-8 as the major respiratory quinone and its main fatty acids (>10%) were C16:0, C17:0 cyclo, C19:0 cyclo ω8c, and summed feature 8 (comprising C18:1 ω7c and/or C18:1 ω6c). Strain RG36T accumulates polyhydroxybutyrates (PHB) and exhibits multiple plant growth-promoting properties including production of indole-3-acetic acid (IAA), siderophores, protease, phosphate solubilization, and harboring gene clusters for its multifunctional properties. A pot experiment was conducted to evaluate the effect of PGPR on the growth of Solanum lycopersicum L. (Tomato). Result also confirmed the ability of strain RG36T to promote tomato plant growth, especially it increases the yield of tomatoes. Structural assessment of the bioplastic by Fourier transform infrared (FTIR), nuclear magnetic resonance (NMR), and GC-MS spectroscopy, which confirmed the structure of the polymer as PHB. Our study revealed the potential of strain RG36T to promote the growth of tomato plant and fruit yield by stimulating the various phytohormones, which could be use as bio-fertilizers to reduce the use of chemical fertilizers and promotes sustainable agricultural production. The phenotypic, chemotaxonomic and phylogenetic data, and genome analysis showed that strain RG36T represents a novel species of the genus Paraburkholderia, for which the name Paraburkholderia tagetis sp. nov. is proposed. The type strain is RG36T (=KACC 22685T = TBRC 15696T).
Silvia Spoto, John Daniel Markley, John Daniel Markley
et al.
ObjectiveThe prevalence of colonization with multidrug-resistant organisms (MDRO) has increased over the last decade, reaching levels as high as 23% in certain patient populations. Active surveillance cultures (ASC) represent a valuable tool to identify patients colonized with MDRO to apply preventive measures, reduce transmission, and guide empiric antimicrobial therapy. There is a paucity of data evaluating the impact of admission ASCs to predict future infection. The aim of this study was to evaluate the concordance between ASCs results and the development of clinical infection by the same microorganism identified in the surveillance swab (“swab-related infection”), in hospitalized septic patients, and to evaluate the presence of specific risk factors associated with the development of a swab-related infection.MethodsAll adults admitted to the Diagnostic and Therapeutic Medicine Department of the University Hospital Campus Bio-Medico of Rome with a diagnosis of infection or any other medical reason with admission surveillance swabs (rectal or nasal) between January 2018 and February 2021 were included in the study. A retrospective chart review was conducted to identify patients that developed infections with concordant MDROs identified on ASC, and the risk factors for swab-related infection. Secondary outcomes were need of intensive care unit transfer, length of stay, sepsis or septic shock development, and all-cause mortality.ResultsA total of 528 patients were included in the study, of which 97 (18.3%) had a positive surveillance swab. Among patients with positive surveillance swabs, 18 (18.5%) developed an infection with the same microorganism recovered from the swab, 57 (58.8%) developed an infection with a different microorganism than that recovered from the surveillance swab, and 22 (22.7%) did not develop an infection during hospitalization. The number of colonized sites, an interventional procedure within the previous 3 months, a Systemic Inflammatory Response Syndrome (SIRS) score ≥ 2, and a quick Sequential Organ Failure Assessment (q-SOFA) score ≥ 2 were associated with a significantly higher risk of developing a swab-related infection. SIRS and q-SOFA scores ≥ 2 and procalcitonin ≥ 0.43 ng/ml help for identifying patients with a swab-related infection.ConclusionPatients with positive surveillance swabs were at increased risk for development of infections by the same MDRO identified in surveillance swabs (swab-related infection). This study is the first to show that the positivity of surveillance swabs, in combination with anamnestic data, PCT values, and SIRS or q-SOFA scores, serves as a valuable tool to help clinicians predict patients at higher risk for swab-related infection development and guide the administration of appropriate empiric antimicrobial therapy in septic patients.
Anna I. Blazejewska, Thomas Witzel, Jesper L.R. Andersson
et al.
Accurate spatial alignment of MRI data acquired across multiple contrasts in the same subject is often crucial for data analysis and interpretation, but can be challenging in the presence of geometric distortions that differ between acquisitions. It is well known that single-shot echo-planar imaging (EPI) acquisitions suffer from distortion in the phase-encoding direction due to B0 field inhomogeneities arising from tissue magnetic susceptibility differences and other sources, however there can be distortion in other encoding directions as well in the presence of strong field inhomogeneities. High-resolution ultrahigh-field MRI typically uses low bandwidth in the slice-encoding direction to acquire thin slices and, when combined with the pronounced B0 inhomogeneities, is prone to an additional geometric distortion in the slice direction as well. Here we demonstrate the presence of this slice distortion in high-resolution 7T EPI acquired with a novel pulse sequence allowing for the reversal of the slice-encoding gradient polarity that enables the acquisition of pairs of images with equal magnitudes of distortion in the slice direction but with opposing polarities. We also show that the slice-direction distortion can be corrected using gradient reversal-based method applying the same software used for conventional corrections of phase-encoding direction distortion.
Leendert A Remmelzwaal, Amit K Mishra, George F R Ellis
In this paper we present a brain-inspired cognitive architecture that incorporates sensory processing, classification, contextual prediction, and emotional tagging. The cognitive architecture is implemented as three modular web-servers, meaning that it can be deployed centrally or across a network for servers. The experiments reveal two distinct operations of behaviour, namely high- and low-salience modes of operations, which closely model attention in the brain. In addition to modelling the cortex, we have demonstrated that a bio-inspired architecture introduced processing efficiencies. The software has been published as an open source platform, and can be easily extended by future research teams. This research lays the foundations for bio-realistic attention direction and sensory selection, and we believe that it is a key step towards achieving a bio-realistic artificial intelligent system.