Greater Sensitivity Research Articles

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Background/objectivesPancreatic cyst management can be distilled into three separate pathways – discharge, monitoring or surgery– based on the risk of malignant transformation. This study compares the performance of artificial intelligence (AI) models to clinical care for this task. MethodsTwo explainable boosting machine (EBM) models were developed and evaluated using clinical features only, or clinical features and cyst fluid molecular markers (CFMM) using a publicly available dataset, consisting of 850 cases (median age 64; 65 % female) with independent training (429 cases) and holdout test cohorts (421 cases). There were 137 cysts with no malignant potential, 114 malignant cysts, and 599 IPMNs and MCNs. ResultsThe EBM and EBM with CFMM models had higher accuracy for identifying patients requiring monitoring (0.88 and 0.82) and surgery (0.66 and 0.82) respectively compared with current clinical care (0.62 and 0.58). For discharge, the EBM with CFMM model had a higher accuracy (0.91) than either the EBM model (0.84) or current clinical care (0.86). In the cohort of patients who underwent surgical resection, use of the EBM-CFMM model would have decreased the number of unnecessary surgeries by 59 % (n = 92), increased correct surgeries by 7.5 % (n = 11), identified patients who require monitoring by 122 % (n = 76), and increased the number of patients correctly classified for discharge by 138 % (n = 18) compared to clinical care. ConclusionsEBM models had greater sensitivity and specificity for identifying the correct management compared with either clinical management or previous AI models. The model predictions are demonstrated to be interpretable by clinicians.

Validation of the Danish Version of the Overall Depression Severity and Impairment Scale (ODSIS): A Reliable Instrument for Assessing Depression Symptoms and Functional Impairment.

In psychotherapy, having a reliable tracking tool is vital for effective treatment. We have validated the Danish version of the 'Overall Depression Severity and Impairment Scale' (ODSIS), which is used in the Unified Protocol for Emotional Disorders (UP) and other cognitive behavioural therapies. This five-item self-rating scale is expected to correspond closely to the gold-standard Beck Depression Inventory-II (BDI-II), but also to self-rating scales addressing daily functioning and well-being. Internal consistency is assessed using Cronbach's alpha and McDonald's omega. Criterion validity is explored through Pearson's correlation coefficient with BDI-II, the Work and Social Adjustment Scale (WSAS), the Five-Item World Health Organization Well-Being Index (WHO-5) and scatter plots, and an optimal cut-off score is determined using a receiver operating characteristic curve. The study included 340 respondents: 234 from a recent clinical trial, 56 psychiatric patients from inpatient/outpatient units and 50 healthy volunteers. ODSIS demonstrates strong internal consistency (Cronbach's alpha: 0.887-0.956, McDonald's omega: 0.888-0.957). Correlations with BDI-II, WSAS and WHO-5 highlight its strong criterion validity (BDI-II: 0.847, WSAS: 0.751, WHO-5: 0.771). The optimal cut-off score (> 7.5) for detecting depression shows great sensitivity (0.862) and specificity (0.731). The Danish version of ODSIS proves to be a reliable instrument for quantification of a combination of depression level and functional impairment from the symptoms. Its high correlation with established BDI-II makes it a brief and handy tool for repeated measurement in clinical and research settings.

The Importance of Proteomics in Saliva and Tears as Potential Non-invasive Methods for Identifying Biomarkers in the Prognosis and Diagnosis of Multiple Sclerosis Patients

: Over the past two decades, the advancement of analytical examinations like proteomics for investigating neuronal-related biomarkers has emerged as one of the most important and effective tools for clinical evaluation and prognosis. However, there remains an unmet need in this area. With advances in quantifying methods and detection in omics research, including proteomics and metabolomics, the close association of the salivary glands and tears with the nervous system has become increasingly evident. As noninvasive specimens, saliva and tears serve as attractive substitutes for neuronal biomarkers, containing numerous proteins and metabolites that represent various ailments in neurodegenerative illnesses like multiple sclerosis (MS). These noninvasive biomarkers might potentially correlate with susceptibility, severity, and pathogenesis of neurological disorders and could be utilized in early diagnosis and prognosis. Therefore, tear and salivary proteomics present novel insights into understanding disease progression and offer personalized treatment options with greater sensitivity. This approach helps highlight the most relevant experimental outcomes related to tear and salivary biomarkers for multiple sclerosis.

Ultrasensitive electrochemical sensor based on dimethylglyoxime/carbon paste electrode modified with a bimetallic nanocomposite for nickel detection in environmental water samples

To date, research in the monitoring of heavy metal pollution focuses on developing an advanced and selective sensor. In this study, an electrochemical sensor-based bimetallic nanocomposite modified dimethylglyoxime carbon paste electrode (DMG/CPE) was created to detect Ni2+ selectively. The bimetallic nanocomposite was prepared by depositing a thin layer of silver nanoparticles (AgNPs) on the surface of the magnetite (Fe3O4)/DMG/CPE electrode. The incorporation of Fe3O4 and AgNPs results in a synergistic effect, increasing electron transfer and expanding the electroactive surface area (from 2.78 mm2 to 3.81 mm2), hence leading to an increase in the peak current response (ΔIp = 26.15 ± 0.33 µA at modified CPE). The prepared AgNPs/Fe3O4/DMG/CPE electrode demonstrated excellent properties, allowing for a broad linear dynamic range lying between 2–10 nM; 10–100 nM; and 100–1000 nM and a limit of detection value of 0.6 nM (S/N = 3). Additionally, the developed sensor showed great sensitivity, selectivity, and reliability in the detection of Ni2+ in river water samples, making it promising for a sensitive and selective detection of Ni-contaminated water.

Biochemical Risk Factors of Atherosclerosis in Patients with Severe and Non-severe COVID-19

Background: COVID-19 may trigger the progression of atherosclerosis, potentially leading to its clinical manifestation. Among the serum biomarkers related to atherosclerotic disease, it seems helpful to evaluate biochemical factors such as CD147, ACE2, and ACE in patients with COVID-19. Methods: In this case-control study, serum samples from 90 patients were analyzed. The cohort included 30 patients hospitalized in the intensive care unit with COVID-19, 30 patients hospitalized in the ward with COVID-19, and 30 healthy individuals from Ayatollah Kashani Hospital (Tehran, Iran). These patients were admitted between December 10, 2022, and March 10, 2023. The concentrations of cholesterol, triglycerides, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and the activity levels of angiotensin-converting enzyme (ACE), angiotensin-converting enzyme 2 (ACE2), troponin, CPK, CPK-MB, and CD147 were determined and analyzed among the three groups. Results: There was no significant difference in age between the patients (55.40 ± 10.34 years) and the control group (58.34 ± 11.71 years). SARS-CoV2 viral RNA was detected in the pharyngeal swab samples of the COVID-19 patients. The levels of CD-147 (2528.43 ± 12.43 vs. 2176.7 ± 9.87 vs. 1346.3 ± 14.23), ACE (83 ± 3.05 vs. 97 ± 1.55 vs. 30.1 ± 2.32), troponin (0.972 ± 0.25 vs. 0.784 ± 0.21 vs. 0.021 ± 0.68), and cholesterol (199.73 ± 2.43 vs. 175.87 ± 5.21 vs. 144.97 ± 8.74) were significantly higher in severe cases compared to non-severe cases (P < 0.05). ACE (AUC = 0.894) and CD147 (AUC = 0.821) had the highest sensitivity and specificity among the studied factors, respectively. Patients with normal levels of ACE and CPK-MB had a 0.16 times lower and 4.37 times greater chance of experiencing severe disease, respectively. Three strong correlations were found among the studied parameters: CD147 with ACE2 (r = 0.721) and cholesterol with triglyceride (r = 0.602) (P < 0.05). Conclusions: Examining ACE and CD147 can help determine a person's susceptibility to atherosclerosis. These two factors have greater sensitivity and specificity and could be used as potential markers for monitoring disease progression.

Risk factors associated with congenital clubfoot in children

Introduction Congenital clubfoot is a frequent malformation of the lower extremities. However, the causes of this pathology in children are still unclear. The identification of the factors associated with congenital clubfoot is a relevant problem, the solution of which will allow a prenatal prevention of clubfoot in newborns thus reducing the number of patients with this pathology.Purpose The search for possible risk factors leading to a violation of foot development in the fetus and their significance in the occurrence of congenital clubfoot in children.Materials and methods The study was of retrospective nature and was carried out in pairs “Mother-Newborn”. It included examination of 149 children. The first group (n = 97) was compiled by the “Mother Newborn” pairs, in which the child had a typical form of congenital clubfoot; the second group (n = 52) were pairs in which the baby was healthy. The data obtained were processed using tables 2×2 and logistics regression.Results According to the results of the study, it was found that the greatest sensitivity and specificity of congenital clubfoot was associated with the external factor of nicotine dependence in pregnant women (SE = 0.32; SP = 0.90) and the factor of hereditarily burdened congenital foot pathology in close relatives (SE = 0.16; SP = 0.98). An acute respiratory viral infection in the anamnesis, anemia in a pregnant woman or toxicosis did not show statistically significant causal connection with the occurrence of congenital clubfoot according to the analysis using the method of logistics regression (р > 0.05) and they should not be used as prognostic ones.Discussion The data obtained by us on the paramount significance of the two “risk” factors of the congenital clubfoot development (nicotine dependence in a pregnant woman and hereditarily burdened disorder of congenital foot pathology among close relatives) were reflected only in a few scientific sources.Conclusion The risk factors of the greatest sensitivity, specificity and causal relationship with the congenital clubfoot development were associated with the adverse effects of the external factor of nicotine dependence during pregnancy and burdened heredity associated with congenital foot pathology in close relatives (р < 0.05).

Identifying Grapevine Rootstocks Tolerant to Copper Excess

The aim of the current study is to identify grapevine rootstocks with the potential to tolerate excessive Cu concentrations. Four grapevine rootstock genotypes were tested: Paulsen 1103, IAC 572, SO4 and Isabel. The plants were cultivated in nutrition solution added to the following treatments: 0.3 µM Cu and 80 µM Cu. Growth, nutrient concentration in tissue and the physiological and biochemical parameters were assessed. Rootstocks showed different growth responses to Cu excess in the solution. SO4, IAC 572 and Isabel markedly reduced growth under Cu excess compared to plants in the control solution, whereas genotype Paulsen 1103 showed a less pronounced effect. The root system of all genotypes presented a Cu increase under a high Cu concentration, as well as higher POD activity and H2O2 concentration than the control. Isabel presented the greatest sensitivity to Cu excess, as shown by leaf wilting and yellowing. Paulsen 1103 rootstock presented smaller changes in the observed parameters in the high Cu concentration solution than in the control solution. Our results indicate that Paulsen 1103 is the most tolerant to Cu excess, whereas Isabel is the most sensitive. There are natural genetic variations in tolerance to this abiotic stress that typically affect grapevine plants.

The Responsiveness of Exercise Tests in COPD: A Randomized Controlled Trial

BackgroundChronic obstructive pulmonary disease (COPD) is characterised by reduced exercise tolerance and improving physical performance is an important therapeutic goal. A variety of exercise tests are commonly used to assess exercise tolerance, including laboratory and field-based tests. The responsiveness of these tests to common COPD interventions is yet to be compared, but may inform test selection in clinical and research settings. Research QuestionWhat exercise test possesses the greatest sensitivity to change pre- to post-intervention in patients with COPD? Study Design and Methods154 patients with symptomatic COPD were recruited and randomised (2:1:1) to six weeks of long-acting muscarinic antagonist (LAMA), pulmonary rehabilitation (PR), or usual care (UC). Pre- and post-intervention, participants performed a ramp-incremental and constant work rate cycle ergometer exercise test (ICET and CWRCT), incremental and endurance shuttle walk test (ISWT and ESWT), six-minute walk test (6MWT), and a four metre gait speed test (4MGS). Results103 participants (67 ± 8 y; 75 [73%] males; FEV1: 50.6 ± 16.8 % predicted) completed the study. Significant improvements in the ICET, CWRCT, ISWT, ESWT, and 6MWT were observed following PR (p<0.05), with the greatest improvements seen in the constant work rate protocols (% change: CWRCT: 42%; ESWT: 41%). InterpretationThe ESWT and CWRCT appeared to be the most responsive exercise test protocols to LAMA and PR. The magnitude of change was much greater after a programme of rehabilitation compared to bronchodilator therapy.

A novel model for tracking copolymerization kinetics: Sequence structure quality evaluation

AbstractPrecise control over sequence structure in copolymers is essential for chemical product engineering. The complexity of sequence structures results in the challenging characterization of monomer sequences. Herein, a chemical composition model (CD model) is developed to record the distribution density of monomers in the chain segment, where the deviation of the chemical composition function between a copolymer and its ideal sequence structure can directly map the sequence structure quality. The application of the CD model in randomly generated virtual copolymers demonstrates that the model has great sensitivity and discrimination to evaluate sequence structures accurately. Furthermore, the CD model is combined with the kinetic Monte Carlo algorithm to explicitly track the evolution of sequence structure quality in the copolymerization process. The CD model provides an insight into the evolution of sequence structure, which is conducive to building the bridge between molecular structure and properties for the development of chemical product engineering.

Precise-color-mutation designing and programmable drop-on-demand printing for intelligent package of shrimp

Biosafe colorimetric labels that can accurately evaluate food freshness have been widely investigated in recent years. The colorimetric macro-array sensor, with the composite solution of curcumin, alizarin and acetic-acid as the indicator, was prepared by means of a self-developed 2D printing device to detect shrimp freshness. The results evidenced the sensor which had high stability, uniform color distribution and great sensitivity could be drop-on-demand printed in batches under the premise of micro-printing. When the TVB-N content of shrimp exceeded 20 mg/100g at all observed temperatures, the sensor abruptly turned from yellow to reddish-brown meanwhile the ΔE value raised sharply, indicating that there was a color mutation at the critical value of shrimp freshness. The macro-array sensor could be recognized by the smartphone to obtain the correlation between the color information (RGB) and TVB-N content, by which the shrimp freshness was determined. Furthermore, the correlation was verified through the WeChat mini-program. When the R value was less than 200 or the G value was below 140, the sensor was brown, suggesting the sample was inedible. Consequently, the system can be applied in food quality control throughout the supply chain.

Thickness Measurement and Sensitivity of Copper/Nickel Electroplating Results of Electrolyte Solution Temperature Variation

Currently, cryogenic thermometers are needed and one of the uses of cryogenic thermometers is to measure the temperature of food preservation flasks. Research has been conducted on the manufacture of cryogenic thermometers derived from Cu/Ni coils by electroplating process with temperature variation treatment of electrolyte solution. The purpose of this study is to determine the effect of electrolyte solution temperature variation treatment on Ni thickness and Cu/Ni sensitivity as a low-temperature sensor. Electroplating was carried out with electrolyte temperature parameters of 30˚C-70˚C, electrode distance of 4 cm, voltage of 4.5 volts, and coating time of 4 minutes. The electrolyte solution was a mixture of NiSO4 260 g, NiCl2 60 g, H3BO3 40 g, and Aquades 1000 mL. Based on the results of the study, a remarkable condition was obtained on the thickness of Ni; namely, at 40 ˚C, the thickness increased to 1.08 mm. In addition, the best temperature can produce the greatest sensitivity value in Cu/Ni coil electroplating, namely at 50 ˚C.

Green Approach for Simultaneous Quantitative Analysis of Fluoroquinolones in the Environment using Three-Dimensional Fluorescence Coupled with Second-Order Calibration Method.

In this study, a straightforward and quick analytical technique based on the self-weighted alternating trilinear decomposition (SWATLD) algorithm in conjunction with excitation-emission matrix (EEM) fluorescence for the simultaneous determination of the antibiotics levofloxacin (LVFX) and ciprofloxacin (CIP) in environmental waters and sediments was developed. This approach completely utilizes the "second-order advantage" and inherits the great sensitivity of classic fluorescence. It replaces or improves the conventional "physical/chemical separation" with "mathematical separation", enabling direct and quick quantification of the target analytes even in the presence of unknown interferences, greatly streamlining sample preparation procedures, consuming less solvent, and speeding up analysis time, and allows successful and environmentally friendly solution of overlapping fluorescence spectra of multiple components in complicated environmental matrices without cumbersome pretreatment steps and complex and expensive instrumentation. The limits of detection varied between 0.34 and 0.67 ng mL- 1, and the average spiking recoveries of LVFX and CIP in water and sediment ranged from 97.6 to 107.7% with relative standard deviations lower than 6.6%. The developed method shows the reliability of the technology and the ability to quickly detect trace antibiotics in lake water even in the presence of unidentified interferents.

Synthesis of Yolk-Shell CoNi2S4 Spheres Modified Flexible Carbon Cloth Electrode for Highly Sensitive Detection of Neurotransmitter Dopamine

Dopamine (DA) is a neurotransmitter that is connected with transitory information in the mammalian central nervous system; changes in its concentration in the body are directly related to mental activity. The absence and/or low level of DA can cause symptoms of several disorders, including Parkinson’s and schizophrenia. As a result, detecting DA in patients is critical for regulating body function. Many efforts have been made to build electrochemical sensing devices to detect DA in human body or biological fluids due to its inherent advantages of high sensitivity, speed, simplicity, and affordability. However, surface modification with nanomaterials, polymers, pretreatments, or simple functionalization are required to improve the performance of these sensing electrodes. Further, exploration of earth-abundant electro-catalysts with high activity and stability is also important for the development of highly selective and sensitive electrochemical sensing interfaces. With these considerations in mind, our study describes the construction of yolk-shell CoNi2S4 spheres modified flexible carbon cloth (CC) electrode for the sensitive detection of DA. The synthesized material's surface and morphological study were examined, and the successful synthesis was confirmed. The yolk-shell CoNi2S4 spheres shown good electrochemical sensing performance towards DA detection due to their unique surface morphology with large specific surface area and synergistic effects. In comparison to unmodified CC, the yolk-shell CoNi2S4 spheres modified CC demonstrated a low detection limit (5.1 nM), great sensitivity, and a wide linear range (0.01 – 5.2 µM). The detection selectivity was also tested in the presence of a high quantity of the common interference ascorbic acid. Selectivity, stability, and repeatability have also been demonstrated to be satisfactory. Furthermore, the fabricated sensor’s flexibility endows it with significant potential in the fabrication of wearable and soft electronics for human healthcare monitoring.

Performance on curriculum-based mathematics assessments in developmental dyscalculia: the effect of content domain and question format.

Developmental Dyscalculia (DD) is characterised by persistent difficulties in learning mathematical skills, which usually becomes apparent in the early years of schooling. Traditionally, DD is known to affect children's arithmetic processing, whilst other domains of mathematics receive much less research attention. Nevertheless, contemporary diagnostic guidelines suggest that DD is linked to widespread and diverse difficulties, both within and outside of the domain of numbers. This study examined the performance (i.e., accuracy and number of questions attempted) of children on a curriculum-based mathematics assessment, considering the effect of content domains, question format (i.e., multiple-choice questions vs. constructed response questions) and test half. Participants were forty children aged 8 to 11 years old with DD (n = 20) and a carefully matched control group of typically developing children (n = 20) from primary schools in Northern Ireland. Results revealed that the DD group achieved significantly lower scores than the control group across all areas of the curriculum, and the magnitude of group differences was similar across all content domains. These findings indicate that performance in content domains other than in arithmetic may be equally informative in supporting the identification of children with DD. In addition, we found that using multiple-choice questions may support learners with DD in achieving the best outcome, and, thus, could be useful for assessing mathematics skills in dyscalculic children in classroom contexts. Nevertheless, constructed response questions may show the greatest sensitivity to identifying learners at risk, and could be the most useful in diagnostic settings.

Clinical and Dermoscopic Diagnosis of Actinic Keratosis.

Actinic keratosis (AK) is one of the most frequent tumors of the skin; the diagnosis is basically clinical although in some cases it may be difficult to distinguish it from other keratinocytic or even melanocytic neoplasms when it presents in pigmented form. Over the years several clinical classifications and scores to objectify the burden of disease have been created. In this review the most frequent scores and classification systems are summarized along with dermoscopic criteria that allow diagnosis with greater sensitivity and specificity.

Formation and annihilation of bulk recombination-active defects induced by muon irradiation of crystalline silicon

Muons are part of natural cosmic radiation but can also be generated at spallation sources for material science and particle physics applications. Recently, pulsed muons have been used to characterize the density of free charge carriers in semiconductors and their recombination lifetime. Muon beam irradiation can also result in the formation of dilute levels of crystal defects in silicon. These crystal defects are only detected in high carrier lifetime silicon samples that are highly sensitive to defects due to their long recombination lifetimes. This work investigates the characteristics of these defects in terms of their formation, recombination activity, and deactivation. Charge carrier lifetime assessments and photoluminescence imaging have great sensitivity to measure the generated defects in high-quality silicon samples exposed to ∼4 MeV (anti)muons and their recombination activity despite the extremely low concentration. The defects reduce the effective charge carrier lifetime of both p- and n-type silicon and appear to be more detrimental to n-type silicon. Defects are created by transmission of muons through the wafer, and there are indications that slowed or implanted muons may create additional defects. In a post-exposure isochronal annealing study, we observe that annealing at temperatures of up to 450 °C does not by itself fully deactivate the defects. A recovery of charge carrier lifetime was observed when the annealing was combined with Al2O3 surface passivation, probably due to passivation of bulk defects from hydrogen from the dielectric film.

Next generation sequencing: Forensic applications and policy considerations

AbstractNext generation sequencing (NGS) or massively parallel sequencing (MPS) is a high‐throughput technology that can be used to analyze DNA and RNA molecules with greater sensitivity, scalability, and speed than traditional Sanger sequencing. NGS systems are slowly gaining popularity in forensic science and may eventually become the future of forensic DNA analysis. The data generated can be utilized to conduct an array of forensic biology analyses such as short tandem repeats (STR) profiling, forensic genetic genealogy, predictive DNA phenotyping, and more. However, the adoption of NGS for forensic casework is associated with a lot of ethical, social, and legal concerns. This article provides a comprehensive review of NGS systems, data analysis, and forensic applications. It also provides policy considerations that aim to reduce harm and bias, while promoting informed consent, standardization, transparency, and accountability.This article is categorized under: Forensic Biology &gt; Interpretation of Biological Evidence Forensic Biology &gt; Ethical and Social Implications Forensic Biology &gt; Forensic DNA Technologies

Atendimento clínico felino eficiente para reduzir estresse e alterações em exames complementares

The feline species presents quite particular characteristics and has great sensitivity to olfactory, visual, tactile and auditory stimuli. Thus, when going to the veterinary environment, there are numerous factors that can cause stress. Therefore, cat-friendly management is essential in clinical routine to reduce alterations in complementary exams, as an animal in this state presents significant changes in its physiological parameters. By implementing positive strategies that respect the individualities of the patients, they feel calmer and more confident, which decreases the likelihood of developing stress-related pathologies. Additionally, it is a fact that cat-friendly hospital environments optimize recovery and preserve the emotional state of the animals. Therefore, this work reviews the main practices in clinical care that ensure greater well-being for cats, minimizing sources of stress and, consequently, alterations in complementary exams. With these measures, both animals and owners become more secure in making regular visits to the veterinarian, allowing for frequent monitoring of the animals' health, thus increasing the chances of early diagnoses.

Heavy metal ions monitoring using molecular ligands: Optical properties and analytical performances

AbstractHeavy metal ions are resistant to degradation and pollute a wide range of natural resources found in the environment, such as water. Detecting heavy metals is crucial for monitoring environmental safety and preventing the harmful effects of metal ion exposure. Therefore, this study has focused on Schiff‐base chemosensors, due to their efficacy in detecting metal ions, owing to their simplicity, cost‐effectiveness, rapid photophysical response, greater sensitivity, minimum detection limit, and applicability to the environmental and medical domains. Such chemosensors are crucial for ensuring public health and safety because they offer a feasible and efficient way to monitor concentrations of heavy metals. This review focuses on using spectroscopic chemosensors to detect Pb2+, Cd2+, and Hg2+ ions. The discussion includes the mechanisms and signal change properties of these chemosensors, as well as critical factors such as the limit of detection, binding stoichiometry ratio, association constant, appropriate pH, and structure. The article concludes with key findings and future perspectives, emphasizing the crucial role of metal ion monitoring devices in protecting the environment and human health.

Self-assembly polysaccharide network regulated hydrogel sensors with toughness, anti-freezing, conductivity and wide working conditions

Ionic conducting hydrogel acted as a promising candidate in flexible electronic device, however, the intrinsic properties of weak mechanical strength, conductivity and environmental instability still are the challenging task. Herein, an assembled polysaccharide network (acetylated distarch phosphate) regulated polyvinyl alcohol (PVA/ADSP) hydrogel is fabricated via one-step freeze–thaw method, the stress, elongation at break, elastic modulus, and toughness could reach 2.26 MPa, 818.60 %, 0.95 MPa, and 12.23 kJ/m3, respectively. At the same time, the binary solution interlocked structure and salt are introduced into the PVA/ADSP hydrogel realizing the great environmental stability (water-retention and anti-freezing) and conductivity (3.59 S/m). PVA/ADSP hydrogel act as strain sensor presenting the great responsibility (128 ms), strain sensitivity (GF=1.82 at 350–500 % of strain) and durability. On account of the excellent sensing characteristics, the PVA/ADSP hydrogel could reliably, accurately and consistently detect most of human exercises and subtle physiological activities (electrocardiography) in real-time. Moreover, PVA/ADSP hydrogel is also utilized to control robotic hand realizing the human–machine interaction. This work provides a novelty regulated approach for conducting hydrogel via self-assembled polysaccharide network, which contributes to the innovative advancement of flexible wearable electronics.