Effective Interaction Research Articles

Optimizing waste management for green shipping: industry commitment through participatory processes in Cyprus

Every year, up to 0.3 million tonnes of waste from the European shipping industry is not properly delivered at ports. Most of the waste produced by the shipping industry is plastic waste, putting plastics at the forefront of the shipping industry’s waste management efforts. In an increasingly connected global economy, concerted actions that encourage and incentivise waste minimisation and waste management optimisation are essential for the reduction of marine litter and the achievement of a circular economy within the shipping industry. Cyprus, an important flag state, can take a leadership role towards this direction. This article presents the results of the implementation of the DeCyDe-4-Shipping decision-support participatory method in Cyprus, which allowed effective multi-stakeholder interactions and resulted in the identification of actions for waste minimisation and waste management optimization that are relevant, effective, implementable, and stem from stakeholder consensus. The method resulted in the definition of yearly action plans with prioritized actions and provided the tools through which to monitor the industry’s annual progress. As the shipping industry is dependent on a global supply chain, DeCyDe-4-Shipping could be replicated at a wider geographic scale, starting with Mediterranean ports, to ensure consistent industry progress towards waste minimization and waste management optimization.

Variability of entropy force and its coupling with electrostatic and steric hindrance interactions

We investigated the effective interaction potential (EIP) between charged surfaces in solvent comprised of dipole dimer molecules added with a certain amount of ionic liquid. Using classical density functional theory, the EIP is calculated and decoupled into entropic and energy terms. Unlike the traditional Asakura–Oosawa (AO) depletion model, the present entropic term can be positive or negative, depending on the entropy change associated with solvent molecule migration from bulk into slit pore. This is determined by pore congestion and disruption of the bulk dipole network. The energy term is determined by the free energy associated with hard-core repulsion and electrostatic interactions between surface charges, ion charges, and polarized charges carried by the dipole dimer molecules. The calculations in this article clearly demonstrate the variability of the entropy term, which contrasts sharply with the traditional AO depletion model, and the corrective effects of electrostatic and spatial hindrance interactions on the total EIP; we revealed several non-monotonic behaviors of the EIP and its entropic and energy terms concerning solvent bulk concentration and solvent molecule dipole moment; additionally, we demonstrated the promoting effect of dipolar solvent on the emergence of like-charge attraction, even in 1:1 electrolyte solutions. The microscopic origin of the aforementioned phenomena was analyzed to be due to the non-monotonic change of dipolar solvent adsorption with dipole moment under conditions of low solution dielectric constant. The present findings offer novel approaches and molecular-level guidance for regulating the EIP. This insight has implications for understanding fundamental processes in various fields, including biomolecule-ligand binding, activation energy barriers, ion tunneling transport, as well as the formation of hierarchical structures, such as mesophases, micro-, and nanostructures, and beyond.

Site Occupancy Preference and Magnetic Properties in Nd2(Fe,Co)14B

Partial replacement of Fe by Co is an effective method to increase Curie temperature (TC), which improves the thermal stability of magnetic properties in Nd2Fe14B-based permanent magnets. The correlation between Fe substitution and magnetic properties has been studied in Nd2(Fe,Co)14B via a first-principles calculation. The calculated Fe substitution energies indicate that the Co atoms avoid the 8j2 site, which agrees with the experiments. The Co atoms are ferromagnetically coupled with Fe sublattice and show magnetic moments of about 1.2 to 1.7 μB at different crystallographic sites, less than that of Fe (2.1–2.7 μB), resulting in the decrease in total magnetization at ground state (0 K) with increasing Co content. The effective exchange interaction parameter, derived from the energy difference between varied magnetic structures, increases from 7.8 meV to 17.0 meV with increasing Co content from x = 0 to x = 14 in Nd2Fe14−xCoxB. This change in the effective exchange interaction parameter is responsible for the enhancement of TC in Nd2(Fe,Co)14B. The total magnetization at 300 K, derived from mean-field theory, shows a peak maximum value at x = 1 in Nd2Fe14−xCoxB. The phenomenon results from the interplay between the reduction of the magnetic moment in the Fe(Co) sublattice and the enhancement of TC with increasing Co content.

Design, synthesis, in vitro and in silico evaluations of new isatin-triazine- aniline hybrids as potent anti- Alzheimer multi-target directed lead compounds

Multi target directed ligands (MTDLs) are one of the promising tools for treatment of complex disease like Alzheimer’s disease (AD). In this study, using rational design, we synthesized new 15 hybrids of the s-triazine, isatin and aniline derivatives as anti- AD compounds. The design was as way as that new compounds could had anti cholinesterase (ChE), antioxidant and biometal chelation ability. In vitro biological evaluation against ChE enzymes showed that these molecules were excellent inhibitors with IC50 values ranging from 0.2 nM to 734.5 nM for acetylcholinesterase (AChE), and 0.02 μM to 1.92 μM for butyrylcholinesterase (BChE). Among these compounds, 8 l with IC50 AChE = 0.7 nM, IC50 BChE = 0.09 μM and 8n with IC50 AChE = 0.2 nM, IC50 BChE = 0.03 μM were the most potent compounds. In silico studies showed that these molecules had key and effective interactions with the corresponding enzymes residues. The molecules with hydroxyl group on aniline moiety had also good antioxidant activity with EC50 values ranging from 64.2 μM to 103.6 μM. The UV–Vis spectroscopy study revealed that molecule 8n was also able to chelate biometals such as Zn2+, Cu2+and Fe2+ properly. It was concluded that these molecules could be excellent lead compounds for future studies.

Reciprocal self-disclosure makes children feel more loved by their parents in the moment: A proof-of-concept experiment.

Feeling loved by one's parents is critical for children's health and well-being. How can such feelings be fostered? A vital feature of loving interactions is reciprocal self-disclosure, where individuals disclose intimate information about themselves. In a proof-of-concept experiment, we examined whether encouraging reciprocal self-disclosure in parent-child dyads would make children feel more loved during the conversation. Participants were 218 children (ages 8-13, 50% girls, 94% Dutch) and one of their parents (ages 28-56, 62% women, 90% Dutch). Parent-child dyads received a list of 14 questions and took turns asking them each other for 9min. Dyads were assigned randomly to engage in self-disclosure (questions invoking escalated intimacy) or small talk (questions invoking minimal intimacy). Before and after, children reported how loved they felt by their parent during the conversation. Self-disclosure made children feel more loved during the conversation than did small talk. Compared to small talk, self-disclosure did not instigate conversations that were lengthier or more positive; rather, it instigated conversations that were more emotionally charged (reflecting anger, anxiety, and sadness), social (discussing family and friends), reflective (creating insight), and meaningful (addressing deeply personal topics, including the passing of loved ones). The dyad's gender composition did not significantly moderate these effects. Our research suggests that reciprocal self-disclosure can make children feel more loved in the moment, uncovers linguistic signatures of reciprocal self-disclosure, and offers developmental scientists a tool to examine causal effects of reciprocal self-disclosure in parent-child dyads. Future work should examine long-term effects in everyday parent-child interactions. RESEARCH HIGHLIGHTS: How can parents make children feel more loved by them in the moment? We theorize that these feelings can be cultivated through reciprocal self-disclosure. In a proof-of-concept experiment, we examined effects of reciprocal self-disclosure versus small talk in 218 parent-child dyads, with children aged 8-13. Self-disclosure (vs. small talk) made children feel more loved during the conversation. Linguistically, self-disclosure instigated conversations that were more emotionally charged, social, reflective, and meaningful. This research provides an experimental method to study self-disclosure in parent-child dyads and suggests that self-disclosure can make children feel more loved in the moment.

Spectroscopic characterization, DFT, antimicrobial activity and molecular docking studies on 4,5-bis[(E)-2-phenylethenyl]-1H,1′H-2,2′-biimidazole

The newly synthesized imidazole derivative namely, 4,5-bis[(E)-2-phenylethenyl]-1H,1′H-2,2′-biimidazole (KA1), was studied for its molecular geometry, docking studies, spectral analysis and density functional theory (DFT) studies. Experimental vibrational frequencies were compared with scaled ones. The reactivity sites were determined using average localized ionization analysis (ALIE), electron localized function (ELF), localized orbital locator (LOL), reduced density gradient (RDG), Fukui functions and frontier molecular orbital (FMO). Due to the solvent effect, a lower gas phase energy gap was observed. Through utilization of the noncovalent interaction (NCI) method, the hydrogen bond interaction, steric effect and Vander Walls interaction were investigated. Molecular docking simulations were employed to determine the specific atom inside the molecules that exhibits a preference for binding with protein. The parameters for the molecular electrostatic potential (MESP) and global reactivity descriptors were also determined. The thermodynamic characteristics were determined through calculations employing the B3LYP/cc-pVDZ basis set. Antimicrobial activity was carried out using the five different microorganisms like Escherichia coli, Streptococcus pneumoniae, Staphylococcus aureus, Klebsiella pneumoniae and Candida albicans.

Enhancing Student Collaboration in Science Education Through Outdoor Learning Transformation

This study explores the efficacy of implementing outdoor learning to enhance student collaboration in fourth-grade science education at SD Muhammadiyah 1 Candi Sidoarjo, addressing a gap in research regarding its application in primary school science education. Using a descriptive qualitative approach with observation, interviews, and documentation, data analysis followed the Miles and Huberman model. Results indicate successful implementation of outdoor learning, fostering collaboration among students, particularly in accepting responsibility, assisting peers, and respecting opinions. Variations in collaboration effectiveness were noted between student groups. Findings suggest that carefully planned outdoor learning activities can create an engaging learning environment, improving student collaboration and overall learning outcomes in primary school science education. Highlight: Outdoor learning in primary science: Enhancing student collaboration and engagement. Qualitative approach: Investigating student perspectives on outdoor education. Effective peer interactions: Fostering teamwork in outdoor learning environments. Keyword: Outdoor learning, Student collaboration, Primary school, Science education, Qualitative research

Nonlocal effects in plasmon-emitter interactions

Abstract Nonlocal and quantum mechanical phenomena in noble metal nanostructures become increasingly crucial when the relevant length scales in hybrid nanostructures reach the few-nanometer regime. In practice, such mesoscopic effects at metal–dielectric interfaces can be described using exemplary surface-response functions (SRFs) embodied by the Feibelman d-parameters. Here we show that SRFs dramatically influence quantum electrodynamic phenomena – such as the Purcell enhancement and Lamb shift – for quantum light emitters close to a diverse range of noble metal nanostructures interfacing different homogeneous media. Dielectric environments with higher permittivities are shown to increase the magnitude of SRFs calculated within the specular-reflection model. In parallel, the role of SRFs is enhanced in noble metal nanostructures characterized by large surface-to-volume ratios, such as thin planar metallic films or shells of core–shell nanoparticles, for which the spill-in of electron wave functions enhances plasmon hybridization. By investigating emitter quantum dynamics close to such plasmonic architectures, we show that decreasing the width of the metal region, or increasing the permittivity of the interfacing dielectric, leads to a significant change in the Purcell enhancement, Lamb shift, and visible far-field spontaneous emission spectrum, as an immediate consequence of SRFs. We anticipate that fitting the theoretically modelled spectra to experiments could allow for experimental determination of the d-parameters.

Genotype by Environment (G × E) Interaction and Yield Stability of Chickpea (Cicer arietinum L.) Varieties Across Agroecological Regions of Ethiopia

ABSTRACTGenotype by environment (G × E) interaction obstructs breeding by persuading variations in genotype performance. The aim of the present study was to determine the stability and yield performance of Desi and Kabuli chickpea varieties at different agroecological regions of Ethiopia, using different stability parameters. The experiment was laid out in a randomized complete block design (RCBD) with three replications. The additive main effect and multiplicative interaction (AMMI) analysis of variance (ANOVA) indicated highly significant differences (p ≤ 0.01) for environments, genotypes, and importantly G × E interaction. AMMI and GGE biplot, AMMI's stability value (ASV) indicate that the Desi chickpea variety Teketay with mean yield of 2225.6 kg/ha (highest) and the variety Dimtu (1603.9 kg/ha) followed by Natoli with mean yield of 2004.9 kg/ha were found to be stable and adaptable to all environments. Similarly, from the Kabuli chickpea varieties, the variety Koka with mean grain yield of 2257.1 kg/ha (highest) and the variety Ejere with mean yield of 1997.6 kg/ha followed by Shasho (1798.59 kg/ha) were found to be stable and adaptable to all environments and should be promoted for production in chickpea‐growing areas of Ethiopia. In conclusion, identification of stable improved varieties for the different agroecological regions can assist the producers such as the farmers for the effective chickpea production. This leads to sustainable self‐sufficiency of food at the household and country level.

Biogas purification by CO2 removal using facilitated transport mechanism of cellulose nanocrystals/polyvinyl alcohol layered hollow fiber membranes

AbstractBiogas can be a viable solution for replacing the conventional fuel for reducing pollution. However, the high CO2 content in biogas must be removed for its utilization. In this study, biogas purification is carried out employing cellulose nanocrystals (CNC)/polyvinyl alcohol (PVA) “selective layered” polysulfone hollow fiber membrane. The membrane chamber is designed such that the cross‐flow of the biogas can be ensured for the effective interaction of the biogas with membrane surface. From various characterization tools like field emission scanning electron microscope, FTIR, X‐ray diffraction, moisture absorption and tensile test, CNC1/PVA (1 wt% of CNC in PVA) nanocomposite film demonstrated optimum crystallinity and mechanical strength while retaining higher moisture absorption. The average selective layer thickness at this CNC concentration is 1169 nm. CO2 permeability of 17,858 barrer and the selectivity of 19 for CO2 over CH4 is observed, respectively.

Impact of Social Media Marketing on Brand Loyalty, through the mediating role of customer experience: An Applied Study in the Egyptian Private Hospitals

Social media marketing has developed rapidly in the world's contemporary highly competitive business environment in order to gain patient loyalty and competitive advantage by providing prompt services. For research scholars and practitioners, the marketing strategy that incorporates technological advancements has taken center stage. Effective communication and interaction between stakeholders are crucial to the success of a business, and social media platforms provide the venue for such communication and interaction. Thus, the benefits and risks of scientific communication on social media during COVID-19 are understood, and social media may be employed in such emergency scenarios. The purpose of this research is to empirically investigate the impact of social media marketing on brand loyalty with mediation role of customer experience in the Egyptian private hospitals. A questionnaire tool was employed to gather required data from a convienacne sample of 416 Customer of Egyptian private hospitals and structural equation modelling technique (SEM) was utilized for analysis using Spss 28 & AMOS26 software. The main conclusions drawn from this study are the direct effect between social media marketing and Brand Loyalty is statistically significant, the direct effect between Social Media Marketing and customer experience is statistically significant. The direct effect between customer experience and brand loyalty is statistically significant. Finally, the study found that there is partial mediation effect of the customer experience between the relationship of social media marketing and brand loyalty in the Egyptian private hospitals.

Carbon Nanodisks Decorated with Guanidinylated Hyperbranched Polyethyleneimine Derivatives as Efficient Antibacterial Agents.

Non-toxic carbon-based hybrid nanomaterials based on carbon nanodisks were synthesized and assessed as novel antibacterial agents. Specifically, acid-treated carbon nanodisks (oxCNDs), as a safe alternative material to graphene oxide, interacted through covalent and non-covalent bonding with guanidinylated hyperbranched polyethyleneimine derivatives (GPEI5K and GPEI25K), affording the oxCNDs@GPEI5K and oxCNDs@GPEI25K hybrids. Their physico-chemical characterization confirmed the successful and homogenous attachment of GPEIs on the surface of oxCNDs, which, due to the presence of guanidinium groups, offered them improved aqueous stability. Moreover, the antibacterial activity of oxCNDs@GPEIs was evaluated against Gram-negative E. coli and Gram-positive S. aureus bacteria. It was found that both hybrids exhibited enhanced antibacterial activity, with oxCNDs@GPEI5K being more active than oxCNDs@GPEI25K. Their MIC and MBC values were found to be much lower than those of oxCNDs, revealing that the GPEI attachment endowed the hybrids with enhanced antibacterial properties. These improved properties were attributed to the polycationic character of the oxCNDs@GPEIs, which enables effective interaction with the bacterial cytoplasmic membrane and cell walls, leading to cell envelope damage, and eventually cell lysis. Finally, oxCNDs@GPEIs showed minimal cytotoxicity on mammalian cells, indicating that these hybrid nanomaterials have great potential to be used as safe and efficient antibacterial agents.

Anglicyzmy w konfrontatywnym nauczaniu języka rosyjskiego

Russian language acquisition by Polish students is understood as effective and appropriate interaction in various conversational situations. This requires specific habits in the use of the contemporary Russian linguistic system. The use of a language can be examined in a natural communicative situation, which needs informal, spoken language. The usage of English loanwords in spoken Polish and Russian is frequent, which is why the characteristics of spoken language in contemporary spoken Russian and Polish needs to be examined. Research conducted on a group of Polish, Russian, Belorussian and Ukrainian Youtubers shows that their speech contains some specific derivatives which are characteristic of colloquial Russian and Polish. It also contains groups of English loanwords: assimilated nouns, verb and adjective derivatives with productive suffixes. The study shows that English loanword adaptation differs in Polish and Russian, which reveals system differences between two related languages. Comparison of the most productive word formation processes in Russian and Polish can help to overcome language interference and improve the teaching of Russian to Polish students in general.

Examples and Counterexamples of Renormalizability of an EFT in the Nonperturbative Regime

An important feature of an effective field theory is its renormalizability, which implies that one can apply a certain power counting to renormalized quantities and perform a systematic expansion of the calculated observables in terms of some small parameter. When nonperturbative effects become relevant, the requirement of renormalizability imposes nontrivial constraints on a choice of the effective interaction and the renormalization scheme. We discuss several instructive examples and counterexamples of renormalizability to illustrate potential issues one has to deal with in realistic calculations such as nuclear chiral effective field theory.

Moisture reaction mechanism of Au-modified SnO2 ultrathin nanosheets with exclusive detection of formaldehyde

Exploring the reaction mechanism at the molecular level in detecting different target gases and providing the optimal operating temperature can improve selective detection performance and extend the lifetime of chemiresistors in practical sensing applications. While the humidity effect interaction mechanism between gas and sensor hinders its practical application. Therefore, exploring the reaction mechanism of humidity to detect different target gases at the molecular level can promote the development of exclusive detection performance and service life of sensors. To further disclose this, a one-step chemical method is applied to synthesize the defect-rich SnO2 with an ultrathin nanosheet structure. The experimental results confirmed that the inhibitory effect of humidity on the detection of formaldehyde by Au-SnO2 is significantly lower than that of other interfering volatile organic compounds (VOCs). The response value of Au-SnO2 detect 10 ppm of formaldehyde at 55 °C is 78, which is larger than that of methanol, ethanol, and acetone. This study sheds light on the mechanistic insight into the correlation between operating temperatures and humidity on the excellent performance of the Au-SnO2 chemiresistive sensor. We consider our work significant in developing highly efficient and stable electrochemical sensors to detect VOC gases at room temperature.

Comparative Investigation of Nano-Sized Silica and Micrometer-Sized Calcium Carbonate on Structure and Properties of Natural Rubber Composites.

Fillers have been widely used in natural rubber (NR) products. They are introduced to serve as a strategy for modifying the final properties of NR vulcanizates. Silica and calcium carbonate (CaCO3) are among the fillers of choice when the color of the products is concerned. In this case, a special focus was to compare the vulcanizing efficiency of NR filled with two different filler types, namely nano-sized silica and micrometer-sized CaCO3. This study focused on the effects of the loading level (10-50 parts per hundred parts of rubber, phr) on the final properties and structural changes of NR composites. The results indicated that increased filler loading led to higher curing torques and stiffness of the rubber composites irrespective of the type of filler used. The better filler dispersion was achieved in composites filled with CaCO3 which is responsible for less polarity of CaCO3 compared to silica. Good filler distribution enhanced filler-matrix interactions, improving swelling resistance and total crosslink density, and delaying stress relaxation. The modulus and tensile strength of both composites also improved over the content of fillers. The CaCO3-filled composites reached their maximum tensile strength at 40 phr, exceeding, by roughly 88%, the strength of an unfilled sample. Conversely, the maximum tensile strength of silica-filled NR was at 20 phr and was only slightly higher than that of its unfilled counterpart. This discrepancy was ascribed to the stronger rubber-filler interactions in cases with CaCO3 filler. Effective rubber-filler interactions improved strain-induced crystallization, increasing crystallinity during stretching and reducing the strain at which crystallization begins. In contrast, large silica aggregates with poor dispersion reduced the overall crosslink density, and degraded the thermomechanical properties, tensile properties, and strain-induced crystallization ability of the NR. The results clearly indicate that CaCO3 should be favored over silica as a filler in the production of some rubber products where high performance was not the main characteristic.

Evaluation of Efficiency of Weighted Average of Stability and Mean Performance Estimated by Linear Mixed Models for Identifying High‐Yielding Lentil Genotypes Adapted to Rainfed Regions

ABSTRACTA combination of the two methods of stability analysis, the additive main effect and multiplicative interaction (AMMI) and the best linear unbiased prediction (BLUP), based on weighted average of stability (WAASB) estimated by the linear mixed models (LMM) index identified the improved genotypes. In this study, 17 advanced genotypes of lentil were studied at two locations, Zanjan and Maragheh, during the two seasons. To examine the genotype × environment interaction, the AMMI and BLUP methods using the WAASB and weighted average of mean performance (WAASBY) index were combined to evaluate the performance stability of genotypes according to different experimental plots. Considering the significant genotype × environment interaction based on likelihood ratio test (LRT), data were analyzed by the BLUP method. The highest grain yield was detected for genotype 13, followed by genotypes 7, 11, 20, 5, 12, and 19 with higher productivity than the grand mean. To select genotypes according to yield and stability, the WAASBY index was defined by combining mean grain yield and stability. Considering 50:50 contributions for the two components, the grain yield and stability of the 13 genotypes were higher than the grand mean. The highest WAASBY was observed for genotypes 7, 20, and 12, which were determined as the best genotypes of lentil under agroecological conditions encountered in the current study regions.

Interprofessional Communication of Combatant First-Aid Personnel: Emotional Co-construction in Training Framework

First-aid personnel who engage in initial dialogues with injured combatants on the front lines become participants in interprofessional communication and need training courses that address their requirements for effective communication and dialogic interaction in combat environments. The primary objective of this research is to integrate emotional co-construction strategies into the training curriculum for First Aid Services (FAS). The study explores various emotional language devices and communication strategies that impact the trauma resolution process. The practical aim of this research is to offer insights for the development of workplace communication courses for FAS, fostering dialogues that contribute to personal stabilization, resilience, resistance, and relief for the combatant.

Natural Language Understanding for Navigation of Service Robots in Low-Resource Domains and Languages: Scenarios in Spanish and Nahuatl

Human–robot interaction is becoming increasingly common to perform useful tasks in everyday life. From the human–machine communication perspective, achieving effective interaction in natural language is one challenge. To address it, natural language processing strategies have recently been used, commonly following a supervised machine learning framework. In this context, most approaches rely on the use of linguistic resources (e.g., taggers or embeddings), including training corpora. Unfortunately, such resources are scarce for some languages in specific domains, increasing the complexity of solution approaches. Motivated by these challenges, this paper explores deep learning methods for understanding natural language commands emitted to service robots that guide their movements in low-resource scenarios, defined by the use of Spanish and Nahuatl languages, for which linguistic resources are scarcely unavailable for this specific task. Particularly, we applied natural language understanding (NLU) techniques using deep neural networks and transformers-based models. As part of the research methodology, we introduced a labeled dataset of movement commands in the mentioned languages. The results show that models based on transformers work well to recognize commands (intent classification task) and their parameters (e.g., quantities and movement units) in Spanish, achieving a performance of 98.70% (accuracy) and 96.96% (F1) for the intent classification and slot-filling tasks, respectively). In Nahuatl, the best performance obtained was 93.5% (accuracy) and 88.57% (F1) in these tasks, respectively. In general, this study shows that robot movements can be guided in natural language through machine learning models using neural models and cross-lingual transfer strategies, even in low-resource scenarios.

Antifreezing, Antidrying, and Conductive Hydrogels for Electronic Skin Applications at Ultralow Temperatures.

Although conductive hydrogel-based flexible electronic devices have superb flexibility and high conductivities, they tend to malfunction in dry or frigid areas. Herein, an ultralow-temperature tolerant, antidrying, and conductive composite hydrogel is designed for electronic skin applications on the basis of the synergy of double-cross-linked polymer networks, Hofmeister effect, and electrostatic interaction and fabricated by in situ free radical polymerization of 2-acrylamido-2-methyl-1-propanesulfonic acid and acrylic acid in the presence of poly(vinyl alcohol) and conductive MXene sheets, followed by impregnation with LiCl. Thanks to the synergy of LiCl and the charged polar terminal groups of the synthesized polymers, the composite hydrogel can not only bear an ultralow temperature of -80 °C without freezing but also maintain its original mass. Meanwhile, the resultant hydrogel possesses satisfactory self-regeneration ability benefiting from the moisturizing effect of LiCl. The conductive network of MXene sheets greatly improves the ionic conductivity of the hydrogel at low temperatures, exhibiting an ionic conductivity of 1.4 S m-1 at -80 °C. Furthermore, the electronic skin assembled by the multifunctional hydrogel is efficient in monitoring human motions at -80 °C. The antifreezing and antidrying features along with favorable ionic conductivity, high tensile strength, and outstanding flexibility make the composite hydrogel promising for applications in frigid and dry regions.