Analytical code sharing practices in biomedical research.

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, affects transparency and reproducibility of studies, which are critical to the advancement of science. Many published studies are not reproducible due to insufficient documentation, code, and data being shared. We conducted a comprehensive analysis of 453 manuscripts published between 2016-2021 and found that 50.1% of them fail to share the analytical code. Even among those that did disclose their code, a vast majority failed to offer additional research outputs, such as data. Furthermore, only one in ten articles organized their code in a structured and reproducible manner. We discovered a significant association between the presence of code availability statements and increased code availability. Additionally, a greater proportion of studies conducting secondary analyses were inclined to share their code compared to those conducting primary analyses. In light of our findings, we propose raising awareness of code sharing practices and taking immediate steps to enhance code availability to improve reproducibility in biomedical research. By increasing transparency and reproducibility, we can promote scientific rigor, encourage collaboration, and accelerate scientific discoveries. We must prioritize open science practices, including sharing code, data, and other research products, to ensure that biomedical research can be replicated and built upon by others in the scientific community.

Blockchain technology and raft consensus for secure physician prescriptions and improved diagnoses in electronic healthcare systems.

With electronic healthcare systems undergoing rapid change, optimizing the crucial process of recording physician prescriptions is a task with major implications for patient care. The power of blockchain technology and the precision of the Raft consensus algorithm are combined in this article to create a revolutionary solution for this problem. In addition to addressing these issues, the proposed framework, by focusing on the challenges associated with physician prescriptions, is a breakthrough in a new era of security and dependability for the healthcare sector. The Raft algorithm is a cornerstone that improves the diagnostic decision-making process, increases confidence in patients, and sets a new standard for robust healthcare systems. In the proposed consensus algorithm, a weighted sum of two influencing factors including the physician acceptability and inter-physicians' reliability is used for selecting the participating physicians. An investigation is conducted to see how well the Raft algorithm performs in overcoming prescription-related roadblocks that support a compelling argument for improved patient care. Apart from its technological benefits, the proposed approach seeks to revolutionize the healthcare system by fostering trust between patients and providers. Raft's ability to communicate presents the proposed solution as an effective way to deal with healthcare issues and ensure security.

Responsible innovation: Mitigating the food safety aspects of cultured meat production.

There is much interest in cultured (cultivated) meat as a potential solution to concerns over the ecological and environmental footprint of food production, especially from animal-derived food products. The aim of this critical review is to undertake a structured analysis of existing literature to (i) identify the range of materials that could be used within the cultured meat process; (ii) explore the potential biological and chemical food safety issues that arise; (iii) identify the known and also novel aspects of the food safety hazard portfolio that will inform hazard analysis and risk assessment approaches, and (iv) position a responsible innovation framework that can be utilized to mitigate food safety concerns with specific emphasis on cultured meat. Although a number of potential food safety hazards are identified that need to be considered within a food safety plan, further research is required to validate and verify that these food safety hazards have been suitably controlled and, where possible, eliminated. The responsible innovation framework developed herein, which extends beyond hazard analysis and traditional risk assessment approaches, can be applied in multiple contexts, including this use case of cultured meat production.

Exploring explainable AI features in the vocal biomarkers of lung disease.

This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often elusive in their early stages, pose a significant public health challenge. Recent advancements in AI have ushered in innovative methods for early detection, yet the black-box nature of many AI models limits their clinical applicability. XAI emerges as a pivotal tool, enhancing transparency and interpretability in AI-driven diagnostics. This review synthesizes current research on the application of XAI in analyzing vocal biomarkers for lung diseases, highlighting how these techniques elucidate the connections between specific vocal features and lung pathology. We critically examine the methodologies employed, the types of lung diseases studied, and the performance of various XAI models. The potential for XAI to aid in early detection, monitor disease progression, and personalize treatment strategies in pulmonary medicine is emphasized. Furthermore, this review identifies current challenges, including data heterogeneity and model generalizability, and proposes future directions for research. By offering a comprehensive analysis of explainable AI features in the context of lung disease detection, this review aims to bridge the gap between advanced computational approaches and clinical practice, paving the way for more transparent, reliable, and effective diagnostic tools.

Clarifying middle authorship contributions to reduce abuses in science publishing and assessment of top-ranked SJR biochemistry and pharmacology journals' authorship criteria.

So-called "middle authors," being neither the first, last, nor corresponding author of an academic paper, have made increasing relative contributions to academic scholarship over recent decades. No work has specifically and explicitly addressed the roles, rights, and responsibilities of middle authors, an authorship position which we believe is particularly vulnerable to abuse via growing phenomena such as paper mills. Responsible middle authorship requires transparent declarations of intellectual and other scientific contributions that journals can and should require of co-authors and established guidelines and criteria to achieve this already exist (ICMJE/CRediT). Although publishers, editors, and authors need to collectively uphold a situation of shared responsibility for appropriate co-authorship, current models have failed science since verification of authorship is impossible, except through blind trust in authors' statements. During the retraction of a paper, while the opinion of individual co-authors might be noted in a retraction notice, the retraction itself practically erases the relevance of co-author contributions and position/status (first, leading, senior, last, co-corresponding, etc.). Paper mills may have successfully proliferated because individual authors' roles and responsibilities are not tangibly verifiable and are thus indiscernible. We draw on a historical example of manipulated research to argue that authors and editors should publish publicly available, traceable contributions to the intellectual content of an article-both classical authorship or technical contributions-to maximize both visibility of individual contributions and accountability. To make our article practically more relevant to this journal's readership, we reviewed the top 50 Q1 journals in the fields of biochemistry and pharmacology, as ranked by the SJR, to appreciate which journals adopted the ICMJE or CRediT schools of authorship contribution, finding significant variation in adhesion to ICMJE guidelines nor the CRediT criteria and wording of author guidelines.

A Systematic Online Living Evidence Summary of experimental Alzheimer's disease research.

BACKGROUND: Despite extensive investment, the development of effective treatments for Alzheimer's disease (AD) has been largely unsuccessful. To improve translation, it is crucial to ensure the quality and reproducibility of foundational evidence generated from laboratory models. Systematic reviews play a key role in providing an unbiased overview of the evidence, assessing rigor and reporting, and identifying factors that influence reproducibility. However, the sheer pace of evidence generation is prohibitive to evidence synthesis and assessment. NEW METHOD: To address these challenges, we have developed AD-SOLES, an integrated workflow of automated tools that collect, curate, and visualise the totality of evidence from in vivo experiments. RESULTS: AD-SOLES is a publicly accessible interactive dashboard aiming to surface and expose data from in vivo experiments. It summarises the latest evidence, tracks reporting quality and transparency, and allows research users to easily locate evidence relevant to their specific research question. COMPARISON WITH EXISTING METHODS: Using automated screening methodologies within AD-SOLES, systematic reviews can begin at an accelerated starting point compared to traditional approaches. Furthermore, through text-mining approaches within the full-text of publications, users can identify research of interest using specific models, outcomes, or interventions without relying on details in the title and/or abstract. CONCLUSIONS: By automating the collection, curation, and visualisation of evidence from in vivo experiments, AD-SOLES addresses the challenges posed by the rapid pace of evidence generation. AD-SOLES aims to offer guidance for research improvement, reduce research waste, highlight knowledge gaps, and support informed decisionmaking for researchers, funders, patients, and the public.

Consumer transparency in the production chain for plant varieties produced using new genomic techniques.

Plants edited with new genomic techniques (NGTs) currently fall under the Genetically Modified Organisms Directive (2001/18/EC) in the European Union. In the proposal of the European Commission, NGT plants are partially exempted from the regulations of this directive. The proposal makes a distinction between two categories of NGT plants: NGT-1 and NGT-2. NGT-1 category plants are considered equal to plants obtained through conventional breeding methods. These plants will not be labelled for the consumer, although they will be labelled as seeds. NGT-2 category plants may be labelled with additional information as a positive incentive. Labelling of seeds of varieties made with gene editing, but not the products, would mean that most steps in the production chain are transparent, but not the last step towards consumers. The "right to know" and increasing knowledge of gene-edited food is a common theme in food labelling towards consumers. Here, we describe current labelling regimes and registers and how these may be applied to provide transparency on gene-edited products to consumers. Furthermore, we also look into consumer studies, which indicate a greater acceptance of gene-edited food among consumers, especially when additional benefits such as sustainability are mentioned.

Enhanced Long-Term Stability of Crystalline Nickel-Boride (Ni23B6) Electrocatalyst by Encapsulation with Hexagonal Boron Nitride.

Nickel boride catalysts show great potential as low-cost and efficient alternatives to noble-metal catalysts in acidic media; however, synthesizing and isolating a specific phase and composition of nickel boride is nontrivial, and issues persist in their long-term stability as electrocatalysts. Here, a single-crystal nickel boride, Ni23B6, is reported which exhibits high electrocatalytic activity for the hydrogen evolution reaction (HER) in an acidic solution, and that its poor long-term stability can be overcome via encapsulation by single-crystal trilayer hexagonal boron nitride (hBN) film. Interestingly, hBN-covered Ni23B6 on a Ni substrate shows an identical overpotential of 52 mV at a current density of 10 mA cm-2 to that of bare Ni23B6. This phenomenon indicates that the single-crystalline hBN layer is catalytically transparent and does not obstruct HER activation. The hBN/Ni23B6/Ni has remarkable long-term stability with negligible changes to its polarization curves for 2000 cycles, whereas the Ni23B6/Ni shows significant degradation after 650 cycles. Furthermore, chronoamperometric measurements indicate that stability is preserved for >20 h. Long-term stability tests also reveal that the surface morphology and chemical structure of the hBN/Ni23B6/Ni electrode remain preserved. This work provides a model for the practical design of robust and durable electrochemical catalysts through the use of hBN encapsulation.

The influence of personal and economic oppression on a country's corruption levels worldwide.

This empirical research study endeavors to analyze the indirect association between oppression and corruption in 147 nations around the globe to answer one question: "Why does oppression drive corruption in many nations?" The author used secondary data from two different resources. The first source is the Corruption Perception Index (CPI), created by Transparency International (TI) in 2020, and the Human Freedom Index (HFI), co-published by the Cato Institute. In addition, the second source is the Political Stability Index in 2020 to test the three research hypotheses using the R-square, and Anova shows that the model is personal and economic oppression explains 53.5 percent of the variance. In addition, the Weighted Least Squares Regression Analyses imply that there is a positive and meaningful connection between personal oppression (ß = 3.028, p < 0.000) and corruption and economic oppression and corruption (5.203, p < 0.000). This study's findings confirmed the theoretical and conceptual relationship between oppression and bribery and identified personal and economic oppression factors as the leading causes of corruption in many countries. The study findings also contribute to the literature and the industry as well. Theoretically, the study results help researchers to understand why oppression causes corruption at the country level. Practically, the study results help policymakers, educators, and international business planners to consider roots when making successful strategic decisions in the era of the globalized world. The author also discussed the research limitations and practical and theoretical implications.

Unveiling, Analyzing the Mechanisms of, and Proposing Solutions for Bribery in Japan's Medical Device Sector.

Both public and academic scrutiny of the financial relationships between the medical device industry and the healthcare society occur less frequently than those involving the pharmaceutical industry, and Japan is no exception to these shortcomings. This paper examines the ethical and legal challenges inherent in Japan's medical device industry through the lens of bribery scandals, placing these issues within the broader context of global healthcare corruption. It aims to derive lessons and suggest universal strategies for ethical and legal enhancements. The discussion includes two notable cases: one involving inappropriate transactions between a cancer center and a biliary stent manufacturer, and another concerning a corrupt donation scheme between a medical device company and a university's anesthesiology department, which was found guilty. In our analysis, we also acknowledge the industry's efforts toward compliance and reform to maintain a balanced perspective. The analysis not only highlights the unique culture and structure of the Japanese medical device industry, such as the exploitation of flexible pricing and opaque financial practices but also contrasts these issues with the tightly regulated pharmaceutical industry. This approach reveals both sector-specific challenges and common corruption drivers, enhancing our understanding of why such scandals occur and persist. We propose ethical and compliance-focused business measures such as centralizing donation decisions, limiting the financial independence of marketing divisions, and increasing transparency, alongside adopting mandatory disclosure practices based on successful models from the United States and Europe. By emphasizing integrity and presenting diverse perspectives, this study aims to elevate ethical and legal standards in the medical device industry and improve patient health outcomes worldwide.

Sources of specialist physician fee variation: Evidence from Australian health insurance claims data.

This study explores the variation in specialist physician fees and examines whether the variation can be attributed to patient risk factors, variation between physicians, medical specialties, or other factors. We use health insurance claims data from a large private health insurer in Australia. Although Australia has a publicly funded health system that provides universal health coverage, about 44 % of the population holds private health insurance. Specialist physician fees in the private sector are unregulated; physicians can charge any price they want, subject to market forces. We examine the variation in fees using two price measures: total fees charged and out-of- pocket payments. We follow a two-stage method of removing the influence of patient risk factors by computing risk-adjusted prices at patient-level, and aggregating the adjusted prices over all claims made by each physician to arrive at physician-level average prices. In the second stage, we use variance-component models to analyse the variation in the physician-level average prices. We find that patient risk factors account for a small portion of the variance in fees and out-of-pocket payments. Physician-specific variation accounts for the bulk of the vari- ance. The results underscore the importance of understanding physician characteristics in formulating policy efforts to reduce fee variation.

Assessing the transparency in reporting of clinical trials investigating manual therapy interventions for low back pain: A methodological review.

RATIONALE: Low back pain (LBP) is a common condition with a significant societal burden. Manual therapy is an effective treatment for LBP and recommended in clinical practice guidelines. While the quantity of literature supporting the use of manual therapy is large, the methodological quality and transparency of this collective work are unclear. AIMS AND OBJECTIVES: Explore the transparency in reporting of clinical trials assessing manual therapy interventions in patients with LBP by comparing planned components in the trial registration with what was reported in the published manuscript. METHODS: Three databases were searched to identify trials assessing the treatment effect of manual therapy for LBP from January 2005 to May 2023. Studies were included if the manual therapy consisted of thrust manipulations, mobilizations or muscle energy techniques. RESULTS: From 4462 studies initially identified, 167 studies remained in the final review after title, abstract and full-text review. Only 87 (52.1%) of the 167 studies were registered (n = 57 prospectively and n = 30 retrospectively). Primary outcomes in the publications were identical to the registration in 54 (62.1%) of the registered trials. Secondary outcomes in the publication were identical to the registration in 27 (31.0%) of the registered trials. The CONSORT reporting guideline was referenced in only 19 (21.8%) trials. Multiple discrepancies between registration and publication were noted for primary and secondary outcomes. All trials had eligibility criteria in the registration that matched their corresponding manuscript, while only four (4.6%) trial registrations addressed any type of statistical analysis plan. CONCLUSION: Approximately half of the trials were not registered. Of those registered, only half were registered prospectively. Substantial discrepancies existed between registered and published outcomes that were never addressed by the authors, raising questions about potential bias. Transparency can be improved through more stringent requirements during manuscript submission to journals, and better reporting of the rationale for discrepancies between registration and publication.

Panel stacking is a threat to consensus statement validity.

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members towards one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but non-financial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analysing in depth a recent high-impact Delphi consensus statement on COVID-19 recommendations as a case example. We demonstrate that many of the selected panel members and at least 35% of the core panel members had advocated towards COVID-19 elimination (zero-COVID) during the pandemic and were leading members of aggressive advocacy groups. These advocacy conflicts were not declared in the Delphi consensus publication, with rare exceptions. Therefore, we propose that consensus statements should always require rigorous evidence synthesis and maximal transparency on potential biases towards advocacy or lobbyist groups to be valid. While advocacy can have many important functions, its biased impact on consensus panels should be carefully avoided.

Setting the Stage for Standardized Reporting of Clinical and Demographic Information in Laboratory-Based Studies of Hidradenitis Suppurativa.

Hidradenitis suppurativa (HS) is a complex inflammatory skin condition affecting 0.1-4% of the population that leads to permanent scarring in the axilla, inframammary region, groin, and buttocks. Its complex pathogenesis involves genetics, innate and adaptive immunity, microbiota, and environmental stimuli. Specific populations have a higher incidence of HS, including females and Black individuals and those with associated comorbidities. HS registries and biobanks have set standards for the documentation of clinical data in the context of clinical trials and outcomes research, but collection, documentation, and reporting of these important clinical and demographic variables are uncommon in HS laboratory research studies. Standardization in the laboratory setting is needed because it helps to elucidate the factors that contribute mechanistically to HS symptoms and pathophysiology. The purpose of this article is to begin to set the stage for standardized reporting in the laboratory setting. We discuss how clinical guidelines can inform laboratory research studies, and we highlight what additional information is necessary for the use of samples in the wet laboratory and interpretation of associated mechanistic data. Through standardized data collection and reporting, data harmonization between research studies will transform our understanding of HS and lead to novel discoveries that will positively impact patient care.

Empowering Photovoltaic Panel Anti-Icing: Superhydrophobic Organic Composite Coating with In Situ Photothermal and Transparency.

Solar energy is widely used in photovoltaic power generation as a kind of clean energy. However, the liquid film, frosting, and icing on the photovoltaic module seriously limit the efficiency of photovoltaic power generation. We developed a composite coating (Y6-NanoSH) by combining an in situ photothermal and transparent Y6 organic film with a nanosuperhydrophobic material. The Y6-NanoSH coated glass exhibited excellent optical clarity both indoors and outdoors, indicating that the coating holds great promise in anti-icing applications for photovoltaic panels. The Y6-NanoSH coating absorbs very little visible light but instead absorbs in the near-infrared region, thereby emitting heat. When exposed to sunlight, the Y6-NanoSH coated photovoltaic panel raises its surface temperature, inhibiting the growth and accumulation of ice and frost on its surface. This is achieved through a combination of photothermal emission and superhydrophobic repellency, which promotes the evaporation and rolling away of water droplets. This validates our success in developing a photothermal, transparent, and superhydrophobic coating with excellent anti-icing capabilities, suitable for use on photovoltaic panels, as well as potential applications in car windscreens, transmission lines, curtain walls, and weather radomes.

Deciphering the Role of Waxy Gene Mutations in Enhancing Rice Grain Quality.

Amylose content (AC) stands as a pivotal determinant of rice grain quality, primarily governed by the Waxy gene (Wx). The allelic variation within this gene, particularly the presence of the Wxmp allele derived from the ancestral Wxmq allele, significantly influences AC and is prevalent among soft japonica rice varieties in southern China. Although both alleles are associated with lower AC, there remains a paucity of detailed understanding regarding the interplay between specific functional single nucleotide polymorphisms (SNPs) within these alleles and the overarching rice grain quality. To investigate this, we engineered three distinct transgenic rice lines, each harboring the Wxmp, Wxmq, or Wxb-5c alleles in the background of the glutinous rice cultivar Nip(wx). This suite of transgenic rice lines showcased varying degrees of grain transparency inversely correlated to AC, which in turn influenced other physicochemical properties of the rice grains, such as taste value of cooked rice, gel consistency, and starch pasting properties. Additionally, analyses of gene expression and enzyme activity revealed that the functional SNPs, Ex4-53G to A and Ex5-53T to C, lead to a decline in the activity of granule-bound starch synthase I (GBSSI) without altering expression levels.

Adhesion and Transparency Enhancement between Flexible Polyimide-PDMS Copolymerized Film and Copper Foil for LED Transparent Screen.

With the increasing demand for innovative electronic products, LED transparent screens are gradually entering the public eye. Polyimide (PI) materials combine high temperature resistance and high transparency, which can be used to prepare flexible copper-clad laminate substrates. The physical and chemical properties of PI materials differ from copper, such as their thermal expansion coefficients (CTEs), surface energy, etc. These differences affect the formation and stability of the interface between copper and PI films, resulting in a short life for LED transparent screens. To enhance PI-copper interfacial adhesion, aminopropyl-terminated polydimethylsiloxane (PDMS) can be used to increase the adhesive ability. Two diamine monomers with a trifluoromethyl structure and a sulfone group structure were selected in this research. Bisphenol type A diether dianhydride is a dianhydride monomer. All three of the above monomers have non-coplanar structures and flexible structural units. The adhesion and optical properties can be improved between the interface of the synthesized PI films and copper foil. PI films containing PDMS 0, 1, 3, and 5 wt% were analyzed using UV spectroscopy. The transmittance of the PI-1/3%, PI-1/5%, PI-2/3%, and PI-2/5% films were all more than 80% at 450 nm. Meanwhile, the Td 5% and Td 10% heat loss and Tg temperatures decreased gradually with the increase in PDMS. The peel adhesion of PI-copper foil was measured using a 180° peel assay. The effect of PDMS addition on peel adhesion was analyzed. PIs-3% films had the greatest peeling intensities of 0.98 N/mm and 0.85 N/mm.

Guessability of Indian picture symbols for communication (IPSC) and picture communication symbols (PCS) among Malayalam-speaking typical adults.

The purpose of this study was to investigate the perceived symbol referent relationship for selected symbols in typical adults for two different symbol sets: Indian Picture Symbols for Communication (IPSC) and Picture Communication Symbols (PCS) to identify cultural influences on symbol recognition. A total of 240 typical adults, including 120 nonprofessionals, and 120 health professionals, from Kerala, a southern state in India, participated in the study. A guessability task involving IPSC and PCS symbols for 30 target referents was utilized. Guessability scores for each participant as well as each symbol stimuli across two symbol sets were determined. The guessability scores for IPSC were significantly (p <.001) higher than PCS. For both symbol sets, nouns were the most accurately guessed, followed by verbs, adjectives, and prepositions. The results also revealed that prompting and previous exposure to symbols tend to influence the transparency of symbols. Error analyses revealed that visual and conceptual cues within a symbol tend to influence guessability. The results indicate that cultural and linguistic factors play a role in symbol guessability. The study highlights the importance of investigating the iconicity of IPSC and PCS symbols across different populations within India, before using symbols for educational/clinical purposes.

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study.

BACKGROUND: The world has witnessed increased adoption of large language models (LLMs) in the last year. Although the products developed using LLMs have the potential to solve accessibility and efficiency problems in health care, there is a lack of available guidelines for developing LLMs for health care, especially for medical education. OBJECTIVE: The aim of this study was to identify and prioritize the enablers for developing successful LLMs for medical education. We further evaluated the relationships among these identified enablers. METHODS: A narrative review of the extant literature was first performed to identify the key enablers for LLM development. We additionally gathered the opinions of LLM users to determine the relative importance of these enablers using an analytical hierarchy process (AHP), which is a multicriteria decision-making method. Further, total interpretive structural modeling (TISM) was used to analyze the perspectives of product developers and ascertain the relationships and hierarchy among these enablers. Finally, the cross-impact matrix-based multiplication applied to a classification (MICMAC) approach was used to determine the relative driving and dependence powers of these enablers. A nonprobabilistic purposive sampling approach was used for recruitment of focus groups. RESULTS: The AHP demonstrated that the most important enabler for LLMs was credibility, with a priority weight of 0.37, followed by accountability (0.27642) and fairness (0.10572). In contrast, usability, with a priority weight of 0.04, showed negligible importance. The results of TISM concurred with the findings of the AHP. The only striking difference between expert perspectives and user preference evaluation was that the product developers indicated that cost has the least importance as a potential enabler. The MICMAC analysis suggested that cost has a strong influence on other enablers. The inputs of the focus group were found to be reliable, with a consistency ratio less than 0.1 (0.084). CONCLUSIONS: This study is the first to identify, prioritize, and analyze the relationships of enablers of effective LLMs for medical education. Based on the results of this study, we developed a comprehendible prescriptive framework, named CUC-FATE (Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability), for evaluating the enablers of LLMs in medical education. The study findings are useful for health care professionals, health technology experts, medical technology regulators, and policy makers.

A universal solvent-replacement strategy to convert alginate hydrogels into mechanically strong and transparent alginate eutectogels for sensitive strain sensors.

Eutectogels based on natural polymers have attracted significant attention as an alternative to easily dehydrated hydrogels and expensive ionogels in the development of flexible strain sensors. The feasibility of employing eutectogels derived from pure natural polymers could be greatly enhanced if their mechanical properties satisfy the requirements of applications. Herein, alginate eutectogels (AEs) with high mechanical properties (tensile strain 217 % and strength 2.26 MPa at fracture), and excellent transparency (over 90 %) are acquired via CaCl2 inducing ionic crosslinking and subsequent deep eutectic solvents (DESs, composed of glycerol and choline chloride) initiating physical crosslinking with a universal solvent- replacement strategy. Among them, sodium alginate, a natural polysaccharide polymer, is selected as representative supporting scaffolds and forms water-insoluble alginate hydrogels (AHs) in CaCl2 coagulation bath. The exchange of DESs with water of AHs not only restrengthens the polymer network by physical crosslinking, but also endows the obtained AEs with long-term solvent retention and high temperature resistance. In addition, the AEs not only have high reliability but also exhibit better linear sensitivity in a wide strain range (0-200 %). In particular, the AEs display multiple sensitivity to stretching, bending, and human motions, demonstrating feasibility as sensitive strain sensors.