Environmental Adaptation Research Articles

Exploration of the advantages of targeted isolation of deep-sea microorganisms and genetically engineered strains.

Oil, mineral processing and environmental restoration can be dangerous processes. Attempts are often made to apply microorganisms to reduce the risks, but the adaptability of terrestrial organisms is often weak. Although genetically engineered strains can improve their environmental adaptability through targeted modification, there are problems such as metabolite accumulation, poor plasmid stability and potential pathogenicity. Screening of extremophiles from the natural environment has become an inevitable choice. The special environment in the deep sea (high pressure, low temperature, low nutrition, high salinity) is a natural place for extremophiles to grow and survive, thus screening of extremophiles from the deep sea is conducive to the green and sustainable development of industry. In this paper, the application status and problems of genetically engineered strains are reviewed based on the microorganisms needed for extreme industry. This paper focuses on the application status and advantages of deep-sea microorganisms. It is found that their advantages are strong adaptability, stable gene, friendly environment, simple and convenient technology (compared with genetic engineering), which has a broad industry processes application prospect. This review broadens the scope of microbial applications.

Environment-tolerant, inherently conductive and self-adhesive gelatin-based supramolecular eutectogel for flexible sensor

Although hydrogels have attracted increasing attention in the stretchable devices, the low adhesion properties and poor environmental adaptation still seriously restrict their development and application. Herein, we focused on the interaction between polymer networks with disperse media and their resultant influence on gel performance, and constructed self-adhesive and environment-tolerant gelatin/polyacrylamide supramolecular-polymer double-network (Gelatin/PAM SP-DN) eutectogels using multiple supramolecular interactions between natural macromolecule and well-designed deep eutectic solvent (DES). The dual networks of Gelatin/PAM SP-DN eutectogels produced significant supramolecular forces with DES, including hydrogen bonding and electrostatic interaction, contributing to enhance the energy dissipation capacity. Additionally, the Gelatin-PAM SP-DN eutectogels were more prone to generate strong bonding force to various substrates, showcasing both in-situ and ex-situ adhesion performance, and even being used for wet and underwater adhesion. The eutectogels revealed excellent environmental tolerance to maintain excellent mechanical flexibility, conductivity and adhesion at high and low temperatures, ensuring the constructed sensor to sensitively and reliably perceive strain, pressure and human motions over a wide temperature range. Also, the eutectogel demonstrated great potential as a temperature sensor. This work opens up a new horizon in the design of multifunctional and environment-tolerant natural macromolecule-based gel materials for flexible electronics, human-machine interaction and health diagnosis.

Genomic evolution and patterns of horizontal gene transfer in Papilio

The Papilio genus, known for its ecological and phenotypic diversity, is a valuable model for evolutionary studies. This study conducted a comparative genomic analysis of 11 Papilio species, revealing species-specific gene family expansions, including the UDP-glucosyltransferase 2 gene associated with insect detoxification, particularly expanding in Papilio polyxenes. Our analysis also revealed 199 horizontal gene transfer (HGT) acquired genes from 76 microbial species, with Pseudomonadota and Bacillota as common HGT donors across these genomes. Furthermore, we examined the evolutionary patterns of nine ABC transporter subfamilies, uncovering potential links between gene family evolution and environmental adaptation. This study provides new insights into evolutionary relationships and genomic adaptations within the Papilio genus, contributing to broader butterfly evolutionary research.

A Theoretical Model-Based Methodology to the Design of Soft Structures: A Case Study of Pneumatic Mesh Actuators

Soft robots offer significant potential in various fields, including healthcare, education, and rescue operations, where actuators are critical components that influence power, precision, and environmental adaptability. However, the nonlinear properties of hyperelastic materials often necessitate reliance on empirical methods and extensive experimentation for actuator design. This study introduces a methodology for designing soft structures, exemplified by pneumatic mesh actuators. Utilizing numerical simulations to investigate deformation patterns and applying the principle of virtual work within a segmented constant curvature framework, a theoretical model was developed to describe the relationships between input air pressure, bending angle of a single airbag, and wall thickness. To validate the model's accuracy and applicability, bending tests were performed on actuators with varying wall thicknesses. A new pneumatic mesh actuator was designed and fabricated using the proposed method, with the experimental results showing a deviation of only 0.27° from the target bending angle under the specified air pressure. This confirms the effectiveness of the proposed design approach. This methodology has potential applications beyond pneumatic mesh actuators, extending to other areas of soft structure design.

A Neutrosophic Model for Measuring Evolution, Involution, and Indeterminacy in Species: Integrating Common and Uncommon Traits in Environmental Adaptation

In 2017, Professor F. Smarandache introduced the Neutrosophic Theory of Evolution, Involution, and Indeterminacy (or Neutrality) (NToEIaI). He concluded that every theory of evolution is characterized by a certain degree of truth, indeterminacy, and untruth, as in neutrosophic logic. In this perspective, he raised several open questions on evolution, neutrality, and involution that required further research effort. Very recently, in 2024, Smarandache conducted research, from a soft sciences/philosophical viewpoint, on identifying and studying common parts in uncommon things and uncommon parts in common things emphasizing the complexity and interconnectedness of concepts within the context of neutrosophy. In this article, we propose a neutrosophic model that incorporates the ideas of finding common parts in uncommon things and uncommon parts in common things within the realms of NToEIaI. We attempt to provide a proper answer on how to measure the degree of evolution, involution, and indeterminacy (neutrality) of a species in a given environment and specific timespan. By employing our approach, we can explain how a species adapts, regresses, or remains neutral within a specific environment and timespan. This method acknowledges not only the clear changes in traits but also the uncertainty and ambiguity that may arise during the process of evolution or involution.

Drone Photogrammetry-based Wind Field Simulation for Climate Adaptation in Urban Environments

Drone Photogrammetry-based Wind Field Simulation for Climate Adaptation in Urban Environments

Novel Zn-based Metal Coordination Polymer for Ultrafast Capture and Electrochemical Sensing of Hg(Ⅱ)

The electrochemical sensor shows great promise in the detection of trace Hg(Ⅱ), of which the performance could be significantly enhanced by the functionalized material with the merits of effective and ultrafast capture for Hg(Ⅱ). In this study, the novel metal coordination polymers (MCPs) was synthesized by the 2-thio-barbituric acid as the organic ligand to modify the electrochemical sensor to address this issue. The as-prepared material was composed of regular flakes with a polyhedral and well-defined crystal structure, the successful loading of the abundant sulfurous group (7.49% of the total mass) endowed the Zn-TBA with the capability to efficiently uptake (97.4-99.9%) Hg(Ⅱ) at 500mg/L under a wider pHs as well as the high content of coexisting cations and anions, highlighted the excellent capacity, strong environmental adaptability, and selectivity. Notably, the superfast mass transfer was revealed in the adsorption kinetics test, in which the Hg(Ⅱ) content was effectively reduced from 50mg/L to 14 μg/L within 20s to meet the national emission standards. Based on this, Zn-TBA modified the carbon cloth (Zn-TBA/CC) and the glass carbon electrode (Zn-TBA/GCE) was prepared, thereinto, the current response of Zn-TBA/CC was approximately 60 times that of the pristine electrode. A strong positive correlation (R2=0.998) relationship could be attained across the content of 0.25-3μM, achieving the detection limit to be 0.29μM. The impressive performance was maintained in the complex matrices and regeneration test. In addition, Zn-TBA/CC exhibited better physical properties, charge transfer ability, and sensing properties than Zn-TBA/GCE, highlighting the advantages of CC as a flexible sensor substrate. Finally, the stable recovery (90-98.5%) in the spiked actual surface water confirmed that the two established methods possessed a promising application potential in capturing and detecting the trace Hg(Ⅱ) with high accuracy and precision. This study extended the application of MCPs in the electrochemical sensor and provided an available analysis method to trap and determine the metal content.

A telomere-to-telomere genome assembly of Salix cheilophila reveals its evolutionary signatures for environmental adaptation

A telomere-to-telomere genome assembly of Salix cheilophila reveals its evolutionary signatures for environmental adaptation

Efficacy of High-Dose Synbiotic Additives for Deoxynivalenol Detoxification: Effects on Blood Biochemistry, Histology, and Intestinal Microbiome in Weaned Piglets

Deoxynivalenol (DON) is a common mycotoxin observed in cereal grains, and feed contamination poses health risks to pigs. Biological antidotes, such as synbiotics (SYNs), have garnered attention for mitigating DON toxicity. This study aimed to assess the efficacy of SYNs by comparing the blood biochemistry, histology, and gut microbiome of weaned piglets. A 4-week trial was conducted on 32 weaned piglets. After a week of diet and environmental adaptation, the pigs were divided into four groups: (1) control (CON, n = 8); (2) SYN (n = 8); (3) DON (n = 8); and (4) DON+SYN (n = 8). The SYN supplementation of weaned piglets increased the final body weight (21.71 ± 0.93 vs. 20.73 ± 0.84), average daily gain (0.38 ± 0.02 vs. 0.34 ± 0.02), and gain-to-feed ratio (0.49 ± 0.04 vs. 0.43 ± 0.02), and decreased the feed conversion ratio (2.14 ± 0.14 vs. 2.39 ± 0.13) compared to the DON group. A high dose of DON induced liver and colon fibrosis and liver and cecum apoptosis, which were alleviated by SYNs. Glucose in the DON group (84.9 ± 3.7) was significantly lower than in the control (101.3 ± 4.2). Additionally, both the DON and DON+SYN groups exhibited higher creatine (0.9 ± 0.0 and 0.9 ± 0.1) and lower cholesterol (88.3 ± 3.2 and 90.0 ± 4.8) levels (p < 0.05). In conclusion, SYNs alleviated DON toxicity, indicating its potential as an antidote for specific biomarkers.

UCB and Thompson Sampling Algorithms in Long-Term Investing

In the rapidly evolving financial markets, traditional investment strategies are increasingly being replaced by advanced algorithms. Among these, the Upper Confidence Bound (UCB) and TS algorithms, which originate from the multi-armed bandit framework, have demonstrated significant potential across various sectors. This study utilizes historical stock data from companies during the period from 2019 to 2024 to evaluate the performance of these algorithms in long-term investment strategies. The research aims to identify how these algorithms manage investment risks and maximize returns under varying market conditions. The results reveal distinct behaviors of UCB and TS in the financial markets: UCB performs better in markets with lower volatility, while TS exhibits stronger adaptability in high-volatility environments, thereby enhancing potential returns. Through a detailed comparison of UCB and TS in long-term investment scenarios, this study provides valuable insights into the strategic application of these algorithms. It offers investment strategy guidance for investors and financial strategists and supplies effective information for economic decision-making in relevant fields.

Intelligent Analysis and Optimization of Adaptability in Interdisciplinary Learning Environments Using Image Recognition Technology

Intelligent Analysis and Optimization of Adaptability in Interdisciplinary Learning Environments Using Image Recognition Technology

Comparative Genomics Reveal Distinct Environment Preference and Functional Adaptation Among Lineages of Gemmatimonadota

Bacteria in the phylum Gemmatimonadota are globally distributed and abundant in microbial communities of various environments, playing an important role in driving biogeochemical cycling on Earth. Although high diversities in taxonomic composition and metabolic capabilities have been reported, little is known about the environmental preferences and associated functional features that facilitate adaptation among different Gemmatimonadota lineages. This study systematically analyzed the relationships between the environments, taxonomy, and functions of Gemmatimonadota lineages, by using a comparative genomics approach based on 1356 Gemmatimonadota genomes (213 high-quality and non-redundant genomes) available in a public database (NCBI). The taxonomic analysis showed that the 99.5% of the genomes belong to the class Gemmatimonadetes, and the rest of the genomes belong to the class Glassbacteria. Functional profiling revealed clear environmental preference among different lineages of Gemmatimonadota, and a marine group and two non-marine groups were identified and tested to be significantly different in functional composition. Further annotation and statistical comparison revealed a large number of functional genes (e.g., amiE, coxS, yfbK) that were significantly enriched in genomes from the marine group, supporting enhanced capabilities in energy acquisition, genetic information regulation (e.g., DNA repair), electrolyte homeostasis, and growth rate control. These genomic features are important for their survival in the marine environment, which is oligotrophic, variable, and with high salinity. The findings enhanced our understanding of the metabolic processes and environmental adaptation of Gemmatimonadota, and further advanced the understanding of the interactions of microorganisms and their habitats.

Adaptive robust constraint-following control method for improving carbody hunting stability of high-speed trains

The low-frequency carbody hunting motion of high-speed trains (HSTs) frequently occurs due to the complex operating environment and deterioration of wheel–rail contact conditions. It not only affects ride comfort but also poses a risk of derailment safety accidents for HSTs. In such scenarios, traditional passive suspension systems struggle to ensure satisfactory dynamic performance of HSTs. However, active suspension systems can offer an effective solution. To enhance the low-frequency carbody hunting stability and environmental adaptability of HSTs, this study proposes a novel adaptive robust displacement inequality constraint following control (AICFC) method for active suspension utilising the beneficial nonlinearity inspired by bio-inspired structures (BIS). The effectiveness of the proposed AICFC-BIS method is validated through numerical simulations comparing it with other control strategies. Simulation results show that the AICFC-BIS method can effectively suppress low-frequency carbody hunting motion and improve the dynamic performance of HSTs. Compared with conventional passive suspensions and other active suspensions, HSTs equipped with AICFC-BIS active suspension exhibit significantly reduced operational safety risk and improved ride comfort indices while being energy efficient.

Research on Motion Patterns of Soft Robots Based on Bionic Structure

Bionic soft robot is a new type of robot whose main body is composed of flexible material, with the advantages of adjustable size and strong environmental adaptability, which has a broad application prospect in logistics, medical care, resource exploration and other fields. Novel smart materials also shine in the design of soft robots. This paper highlights the research advancements in the locomotion patterns of bionic soft robots. The mechanism of movement of animals such as inchworms, starfish, earthworms, etc. and the soft robots designed to imitate them are introduced. Novel smart materials required to realise these designs, such as Shape Memory Alloy (SMA), dielectric elastomer (DE), a collapsible actuator (PFA), pNIPAM/CNTs hydrogel composite, are also presented. Methods to drive and control the motion of these soft robots are presented, including thermally driven shape memory alloys, pneumatic airbags, and laser-driven, magnetic field-driven, and electrically driven dielectric materials, among other types. After discussing the materials and methods, the current challenges to the innovation of motion patterns for bionic soft robots are analyzed.

Metabolomic Analysis of Elymus sibiricus Exposed to UV-B Radiation Stress.

Plants cultivated on the Qinghai-Tibet Plateau (QTP) are exposed to high ultraviolet radiation intensities, so they require effective mechanisms to adapt to these stress conditions. UV-B radiation is an abiotic stress factor that affects plant growth, development, and environmental adaptation. Elymus sibiricus is a common species in the alpine meadows of the QTP, with high-stress resistance, large biomass, and high nutritional value. This species plays an important role in establishing artificial grasslands and improving degraded grasslands. In this study, UV-B radiation-tolerant and UV-B radiation-sensitive E. sibiricus genotypes were subjected to simulated short-term (5 days, 10 days) and long-term (15 days, 20 days) UV-B radiation stress and the metabolite profiles evaluated to explore the mechanism underlying UV-B radiation resistance in E. sibiricus. A total of 699 metabolites were identified, including 11 primary metabolites such as lipids and lipid-like molecules, phenylpropanoids and polyketides, organic acids and their derivatives, and organic oxygen compounds. Principal component analysis distinctly clustered the samples according to the cultivar, indicating that the two genotypes exhibit distinct response mechanisms to UV-B radiation stress. The results showed that 14 metabolites, including linoleic acid, LPC 18:2, xanthosine, and 23 metabolites, including 2-one heptamethoxyflavone, glycyrrhizin, and caffeic acid were differentially expressed under short-term and long-term UV-B radiation stress, respectively. Therefore, these compounds are potential biomarkers for evaluating E. sibiricus response to UV-B radiation stress. Allantoin specific and consistent expression was up-regulated in the UV-B radiation-tolerant genotype, thereby it can be used to identify varieties resistant to UV-B radiation. Different metabolic profiles and UV-B radiation response mechanisms were observed between the UV-B radiation-tolerant and UV-B radiation-sensitive E. sibiricus genotypes. A model for the metabolic pathways and metabolic profiles was constructed for the two genotypes. This metabolomic study on the E. sibiricus response to UV-B radiation stress provides a reference for the breeding of new UV-B radiation-tolerant E. sibiricus cultivars.

Bioecology of Cinnamomum culitlawan (L.) J.Presl (1825) Endemic Species on Halmahera Island

Cinnamomum culitlawan (L.) J. Presl (1825) is an endemic plant belonging to the Lauraceae family. The plant growth is found in Indonesia, especially in Maluku and Papua. This study aims to: (1) understand the taxonomy of C. culitlawan; (2) find out its habitat, environmental adaptation, and ecological role; and (3) find out its utilization and ethnobotany. This study was conducted by combining the literature review method with the survey method. Efforts to understand the taxonomy, utilization, and ethnobotany of C. culitlawan through a literature review. Each plant specimen found in the documentation was observed for its distribution, habitat, adaptation, and interaction. Taxonomic and ethnobotanical studies were conducted by literature review. The results of the study showed that C. culitlawan has 12 synonyms, namely Benzoin gracile (Nees) Kuntze; C. culiban Raf.; C. culitlawan var. rubrum (Blume) Meisn.; C. rubrum Blume; Daphnidium gracile Nees; Laurus culiban L.; Persea culilawan (L.) Bisch.; Laurus culilawan Nees; Laurus culawang Nees; Laurus culitlaban Roxb.; Laurus culitlawan L.; Laurus glauca Nees; Laurus gracilis Meisn.; and Persea culilawan (L.) Bisch. Some researchers wrote it with the species name Cinnamomum culilawan Blume, a synonym that has not been verified in WFO. Generally lives in low to medium plains, in areas with high rainfall. C. culitlawan has adapted to high humidity and grows in soil with high humus content. C. culitlawan has complex interactions with other species, including pollinating insects and soil organisms. C. culitlawan has important value in ethnobotany aspects, including traditional medicine, culinary, and cultural rituals.

Otomatisasi Perhitungan OEE pada Mesin Filling ILAPAK 50g Menggunakan PLC dan HMI

This study addressed the limitations in calculating Overall Equipment Effectiveness (OEE) manually, which frequently led to inaccuracies and inefficiencies in industrial processes. The purpose of this research was to design an automated OEE calculation system for the ILAPAK 50g filling machine to improve data accuracy and reduce dependency on manual input. A Design Science Research (DSR) methodology was employed, involving stages of system analysis, design, implementation, and evaluation. The system utilized key components, including an Omron CP2E PLC, proximity sensors, relays, and a Human-Machine Interface (HMI) for real-time data acquisition. The findings indicated that the automated system significantly improved data accuracy, achieving reliable, continuous OEE calculations across different machine shifts. The system successfully replaced manual logbook methods, reducing human estimation errors, and displayed OEE data locally on the HMI, making it accessible for operational decisions. Furthermore, the implemented automation reduced overall downtime, enhanced machine availability, and minimized errors associated with manual record-keeping. This research has practical implications for industries aiming to optimize production efficiency. The automated OEE system demonstrated potential for scalability to other machines in manufacturing settings, highlighting its adaptability and utility in modern industrial environments. Future research could explore integration with cloud-based databases to enhance data storage and accessibility, providing a foundation for advanced predictive maintenance and performance monitoring across multiple machines.

Abdominal POCUS Education for Clinicians: A Systematic Review of Teaching Methods for Point-of-Care Abdominal Ultrasonography.

This systematic review examines educational strategies in clinician-performed abdominal point-of-care ultrasound (POCUS), a critical skill with increasing relevance in medical care. Analyzing 28 studies, we highlight the strategies as well as advantages and disadvantages of various theoretical and practical components, including, for example, e-learning and simulation in training programs. The findings emphasize the necessity of blending various educational methods to enhance effectiveness and adaptability in training environments. Ultimately, robust training frameworks are essential to maximize diagnostic accuracy and improve patient outcomes in abdominal POCUS.

Exploring the importance of predicted camel NRAP exon 4 for environmental adaptation using a mouse model.

Camels possess exceptional adaptability, allowing them to withstand extreme temperatures in desert environments. They conserve water by reducing their metabolic rate and regulating body temperature. The heart of the camel plays a crucial role in this adaptation, with specific genes expressed in cardiac tissue that are essential for mammalian adaptation, regulating cardiac function and responding to environmental stressors. One such gene, nebulin-related-anchoring protein (NRAP), is involved in the assembly of myofibrils and the transmission of force within the heart. In our study of the NRAP gene across various livestock species, including three camel species, we identified a camel-specific exon region in the NRAP transcripts. This additional exon (exon 4) contains an open reading frame predicted in camels. To investigate its function, we generated knock-in mice expressing camel NRAP exon 4. These 'camelized mice' exhibited normal phenotypic characteristics compared with wild-type mice but showed elevated body temperatures under cold stress. Transcriptome analyses of the hearts from camelized mice under cold stress revealed differentially expressed inflammatory cytokine genes, known to influence cardiac function by modulating the contractility of cardiac muscle cells. We propose further investigations utilizing these camelized mice to explore these findings in greater depth.

Durable Organic Coating-Free Superhydrophobic Metal Surface by Paracrystalline State Formation.

The chemical instability of traditional organically-decorated superhydrophobic metal surfaces is a significant issue, severely limiting practical applications. This is due to the susceptibility of low surface energy coatings to ion permeation, decomposition, and exfoliation, especially in harsh environments. Here, organic coating-free, durable superhydrophobic surfaces on Al alloys by developing the paracrystalline state of a bionic anthill tribe structure is successfully achieved, using femtosecond laser element-doping microstructuring followed by repetitive annealing processes. Remarkably, the inherent superhydrophobic properties of the sample are maintained for ≈2000 h in a corrosive 3.5 wt.% NaCl aqueous solution, significantly surpassing the performance of traditional organic coatings. Moreover, this inherent superhydrophobicity remains nearly unchanged, even after rigorous electrochemical reaction measurements. Additional tests involving UV irradiation (>100 h), freezing cycles (>100 cycles), and acid/alkali resistance (>65 h) further demonstrate that the environmental adaptability of the surface far exceeds that of silane-coated surfaces. Ab initio calculations reveal that the formation of the paracrystalline state reduces surface energy and enhances chemical stability, thereby extending the durability of the superhydrophobic metal. These findings offer a powerful strategy for utilizing atomic-level structural rearrangements to design inherent superhydrophobic surfaces without the need for organic coatings.