Limit Time Research Articles

High Sensitivity and Wide Strain Range Flexible Strain Sensor Based on CB/CNT/PDA/TPU Conductive Fiber Membrane

Flexible strain sensors have attracted significant attention due to their critical applications in wearable devices, biological detection, and artificial intelligence. However, achieving both a wide strain range and high sensitivity remains a major challenge in current research. This study aims to develop a novel composite material with a synergistic conductive network to construct high-performance flexible strain sensors. Thermoplastic polyurethane (TPU) nanofiber membranes were first prepared using electrospinning technology, and their surface was modified with polydopamine (PDA) via in-situ polymerization, which significantly enhanced the fibers’ adsorption capacity for conductive materials. Subsequently, carbon nanotubes (CNTs) and carbon black (CB) were coated onto the PDA-modified TPU fibers through ultrasonic anchoring, forming a CB/CNT/PDA/TPU composite with a synergistic conductive network. The results demonstrated that the flexible strain sensor fabricated from this composite material (with a CB-to-CNT mass ratio of 7:3) achieved ultrahigh sensitivity (gauge factor, GF, up to 1063) over a wide strain range (up to 300%), along with a low detection limit (1% strain), fast response and recovery times (137 ms), and exceptional stability and durability. Further evaluations confirmed that this sensor reliably captured biological signals from various joint movements, highlighting its broad application potential in human motion monitoring, human–machine interaction, and soft robotics.

Comparison of conventional coagulation tests and ROTEM in identifying trauma-induced coagulopathy for massive haemorrhage protocol activation.

Trauma-induced coagulopathy (TIC) can be fatal but preventable if recognised early. With emerging uses of rotational thromboelastometry (ROTEM) to guide transfusions in trauma, patient outcomes with TIC-defined by initial ROTEM and conventional coagulation tests (CCTs) during massive haemorrhage protocol (MHP) activations were evaluated at a primary trauma centre in British Columbia. This retrospective observational study included adult trauma patients requiring MHP from June 1, 2020, to May 31, 2022. TIC, defined by initial results including (1) ROTEM-based EXTEM A10 <40 mm, EXTEM CT >100 s, EXTEM ML30 >10%, FIBTEM A10 <10 mm; and (2) CCT-based INR ≥1.8, PTT ≥1.5 times of upper normal limit, platelets <50 x 109/L, and Clauss Fibrinogen <1.5 g/L, was assessed for its correlation with mortality. Modified Poisson regression was used to model 28-day mortality. Twenty-two of sixty-eight patients (32%) had abnormal ROTEM but normal CCTs. TIC defined by CCTs was associated with increased mortality [24 h: 5/13 (38%) vs. 5/55 (9%), p = 0.025; 28d: 8/13 (62%) vs. 11/55 (20%), p = 0.002]; compared to ROTEM, which was not [24 h: 7/35 (20%) vs. 3/33 (9%), p = 0.307; 28d: 11/35 (31%) vs. 9/33 (27%), p = 0.594], despite requiring significantly higher blood component transfusion within the first 4 and 24 h of MHP (p-values<0.05). ROTEM is more sensitive in identifying TIC. Patients with abnormal CCTs had a higher death rate, and those with abnormal ROTEM had no significantly increased mortality. A prospective study is required to assess the effects of ROTEM further.

Crafting Hollow Spheres via Bulk Ice Melting with ppb-Level Gas Sensing Performance.

Ice melting, a common yet complex phenomenon, remains incompletely understood. While theoretical studies suggest that preexisting defects in ice generate "off-lattice" water molecules, triggering bulk ice melting, direct experimental evidence of their form has been lacking as the transparent and transient nature of ice poses significant challenges for observation with current techniques. Here, we introduce an ice-melting-induced lyophilization (IMIL) technique that employs graphene-based nanoprobes to replicate and track liquid evolution within melting bulk ice. Our experimental data and theoretical calculations indicate that "off-lattice" water molecules form spherical droplets that enlarge and coalesce as the melting progresses. Notably, the IMIL technique represents a novel nanotechnology for crafting high-quality hollow spheres by leveraging naturally occurring droplets as templates, offering advantages in simplicity, environmental friendliness, scalability, and size adjustability over traditional methods. Additionally, platinum-loaded graphene-based hollow spheres fabricated via the IMIL technique demonstrate ultrasensitive formaldehyde detection with a 5 parts per billion detection limit, rapid response and recovery times (∼4.9 s), and room-temperature operation without auxiliary technology, outperforming WHO standards and current detection methods. These findings highlight the potential of the IMIL technique for creating versatile hollow spheres for diverse applications.

Emerging challenges: clozapine-associated hepatotoxicity in bipolar disorder: a case report

Introduction: Clozapine can cause major adverse effects, including rare but serious drug-induced liver injury. Understanding how clozapine causes liver injury is crucial for prompt diagnosis and effective management. Case presentation: We presented a case of a 42-year-old man with bipolar disorder who presented to our emergency department with a complaint of fatigue, nausea, vomiting, and pain in the upper right abdomen for 1 week. The patient was commenced with clozapine 1 month prior. He appeared jaundiced with a slightly swollen abdomen. Blood tests revealed highly elevated liver enzymes (AST 1679 U/L, ALT 1752 U/L) and bilirubin levels (total bilirubin 8.5 mg/dL, direct bilirubin 3.02 mg/dL). Tests for viral hepatitis and autoimmune diseases were negative. Suspecting clozapine-induced liver injury, we stopped the medication and provided supportive care. Discussion: Clozapine-induced liver injury likely occurs through a variety of pathophysiological pathways that include its metabolism by cytochrome P450 enzymes. Recognizing symptoms like jaundice and abdominal pain early is crucial for diagnosis. Our case reflects similar cases in literature, highlighting the variability in how this condition presents and the importance of prompt intervention to prevent severe consequences. Treatment involves stopping clozapine, supportive care, and closely monitoring the patient’s recovery. Conclusion: Physicians who prescribe clozapine should make sure that liver function is closely monitored, especially in the initial few months of the medication, and stop it if liver function become more than 3 times of upper limit of normal and patient developed signs and symptoms of liver injury.

Components of children's hospital architecture from the perspective of staff: a mixed-method case study from Iran

ABSTRACT The study focuses on children's hospitals, exploring architectural elements from the perspective of staff members. These individuals spend considerable hours within these hospital settings and possess unique insights into the spatial requirements that can significantly impact their work. Their feedback is crucial for architects and designers, who can incorporate the research findings into their designs. The components in this research have been prioritized so that, during times of limitation, the most critical elements receive the necessary attention. A hospital design approach that considers the specific needs of staff and patients, integrates technology to enhance care, and incorporates cultural factors can help create more functional and satisfying healthcare environments. The studied hospital is 17 Shahrivar Hospital in Rasht, Iran. Research data was gathered through a literature review and empirical data collection via a structured questionnaire. Articles served as a primary source of information, while electronic questionnaires were used to gauge the insights of the staff. The findings suggest that by refining certain internal aspects, the architecture of children's hospitals can be optimized to improve staff satisfaction. According to the staff, the key architectural elements influencing their experience include positive entertainment spaces, interior decoration, and a pleasing view of the outdoors. While this study provides valuable insights, its limitations must be noted. The small sample size and the challenges of collecting data during a pandemic may have affected the generalizability of the findings. Future research could involve a larger sample size to enhance the robustness of the results.

Mechanism and Performance Evaluation of a Strain Sensor Made from a Composite Hydrogel Containing Conductive Fibers of Thermoplastic Polyurethane and Polyvinyl Alcohol.

Monitoring human physiological conditions using flexible, stretchable strain sensors is an effective approach to prevent and treat critical illnesses, emergencies, and infectious diseases. However, achieving ultralow detection limits, high sensitivity, and a wide detection range in a cost-effective manner is challenging. In this study, a strain sensor was developed by embedding an adhesive hydrogel composed of polyvinyl alcohol, starch, and glutaraldehyde into conductive fibers made from thermoplastic polyurethane. By leveraging the high sensitivity of the conductive fibers and the wide detection range of the hydrogel, a robust dual-layer continuous conductive network was formed through their synergistic interaction. Tensile strength tests and other assessments indicated that the sensitivity of the sensor increased from a gauge factor of 49.32 (for fiber-based sensors) to 74.18, while the detection range expanded from 250 to 400%. Furthermore, the sensor demonstrated a low detection limit (0.6%), fast response and recovery times (80 ms/120 ms), and durability exceeding 800 cycles. Tests on pulse monitoring, joint movement, and voice recognition confirmed the significant applicability of the sensor for real-time monitoring of various physiological activities throughout a human's life. This study aims to provide technical support for the development of flexible wearable systems.

Dual‐active‐layer flexible piezoresistive sensor based on wrinkled microstructures and electrospun fiber network for human‐related motion sensing applications

AbstractFlexible pressure sensors with high sensitivity and a wide detection range must be developed for practical applications. In this study, a dual‐active‐layer flexible piezoresistive sensor was developed. A reduced graphene oxide film with wrinkled microstructures was prepared by a simple and low‐cost substrate pre‐stretching method and used as the first active layer. A thermoplastic polyurethane electrospun fiber membrane was modified by fast polydopamine coating and ultrasonication with multi‐walled carbon nanotubes and used as the second active layer. Owing to the continuously changing conductive pathways created by the wrinkled microstructures and fiber network under pressure deformation, the sensor achieved a detection range of 0–100 kPa, with sensitivities of 8.5, 1.35, and 0.39 kPa−1 in the ranges of 0–1, 1–20, and 20–100 kPa, respectively. Additionally, the sensor exhibited a low detection limit (2 Pa), response and recovery times of 105 and 85 ms, respectively, and reliable service performance over 10,000 loading/unloading cycles. The sensor enabled real‐time monitoring of finger and wrist bending, beaker‐holding, and fingertip‐sliding on a touch screen, demonstrating its feasible applications in wearable electronics and human–machine interface devices.

Efficacy Analysis of PTCD + TACE vs PTCD + Apatinib in the Treatment of HCC with Obstructive Jaundice: A Retrospective Study.

The aim was to evaluate the safety and effectiveness of PTCD combined with TACE in the treatment of hepatocellular carcinoma with obstructive jaundice and to compare the efficacy of TACE in patients with different levels of bilirubin after PTCD. The clinical data of 141 patients with HCC complicated with obstructive jaundice were analyzed retrospectively. The patients underwent PTCD first. When the total bilirubin decreased, the patients received TACE or Apatinib treatment. They were divided into two groups: (1) PTCD+TACE group, N=68; (2) PTCD+Apatinib group, N=73. The PTCD+TACE group had higher ORR and DCR than the PTCD+Apatinib group (57.4% vs 12.3%, p < 0.001; 80.9% vs 60.3%, p = 0.010). The mPFS of the PTCD+TACE group was longer than that of the PTCD+Apatinib group (7.1 months vs 3.8 months, p < 0.001). The mOS of the PTCD+TACE group was longer than that of the PTCD+Apatinib group(11.5 months vs 7.7 months, p < 0.001). In the subgroup analysis of the PTCD+TACE group, the results showed that the survival benefits of the groups with total bilirubin <2 times and 2-3 times were greater. In patients with HCC and obstructive jaundice, superselective TACE(lipiodol+epirubicin emulsion) significantly prolonged OS and PFS compared with Apatinib after using PTCD to reduce total bilirubin to <100 μmol/L. Patients whose total bilirubin dropped to .3 times of the upper limit of normal value after PTCD had longer OS and PFS than patients >3 times.

IMPLEMENTATION OF TAHFIDZUL QUR'AN LEARNING FOR STUDENTS OF PKPU NEUHEUN MIDDLE SCHOOL ACEH BESAR DISTRICT

Implementation of Tahfidzul Qur’an learning at PKPU Neuheun Middle School need done optimization on several aspects, such as management time and improvement support family, for reach more results​ maximum in increase memorization students. Type of research use approach qualitative with type study field research. Research results shows that 1). Implementation method Tahfidzul Qur’an learning at PKPU Neuheun Middle School Aceh Besar District is that method talaqqi and muraja'ah applied in a way effective, with competent teacher guidance and environment supportive schools. Although​ there is constraint like difference ability students and limitations time, this program in a way overall walk good and giving impact positive on memorization students, although Still need improvement in support family and management time learning. 2). Supporting and inhibiting factors in implementation Tahfidzul Qur’an learning at PKPU Neuheun Middle School Aceh Besar District is that the success of this program supported by teacher competence, methods learning effective like talaqqi and muraja'ah, as well as environment conducive Islamic schools. On the other hand, the challenges main issues faced is difference ability memorize students, lack of support family, limitations time learning, and limited facilities. Management and improvement to factors This required for optimize results learning tahfidz at school.

Anti-aging interventions in geriatric mice: insights into the timing of treatment, benefits, and limitations.

Studies aimed at preventing age-associated diseases are fundamental in addressing the challenges posed by an aging population. However, biomedical and technological advancements have now reached a stage where it appears increasingly possible to repair the damage caused by severe pathologies and reverse the functional decline that accompanies aging. This perspective highlights the significance of using aging models, specifically non-transgenic geriatric mice (aged over 24months), to study interventions aimed at reversing or ameliorating age-related pathologies. While most research typically utilizes young, adult, and mid-aged mice to investigate aging mechanisms and develop preventive strategies, geriatric models provide unique insights into the efficacy and safety of treatments in conditions that mimic the complexities of multiple concurrent diseases or syndromes. This manuscript highlights the importance of considering timing responses in aging interventions, illustrated by recent findings such as those involving canagliflozin. These studies reveal that the timing of intervention can significantly influence the outcomes, highlighting aspects often overlooked. Practical challenges and resource demands associated with geriatric mouse studies including concerns related to animal husbandry and aging phenotypes are also discussed. This perspective aims to foster a deeper understanding of the potential benefits and limitations of geriatric mice models in geroscience research and emphasizes the need for continued innovation in this field to meet the critical need to develop effective treatments for age-related diseases.

Psychodiagnostics in Psychosocial Centers for Refugees

Accurate psychodiagnostics is crucial for diagnosing and ensuring quality treatment for individuals with mental health disorders. However, there is limited understanding of psychodiagnostic practices within Psychosocial Centers (PSZ) when dealing with refugees, particularly in the presence of language and cultural barriers and resource constraints. This study aims to evaluate the current status and potential pathways for enhancing culturally sensitive diagnostics in this context. We conducted an online survey using a self-developed questionnaire with representatives from 32 PSZ to examine psychodiagnostic practices, barriers, and perceived development potentials, and analyzed the data descriptively. Most centers prefer individual case assessments over standardized diagnostics. Key barriers to using standardized questionnaires and interviews include communication difficulties (unfamiliarity with question formats, reading and writing difficulties) and resource limitations (time, translation). When conducting diagnostics, time constraints and prioritizing complex cases are the primary challenges. Additional assessments are needed for several disorders and languages. Employees are interested in receiving training in the field of culturally sensitive diagnostics. Diagnostic practice in the PSZs is characterized by numerous challenges that differ from the challenges in standard care. In order to ensure appropriate standardized diagnostics and care for mentally distressed people with a refugee or migrant background, further expansion of the linguistic and cultural adaptation of established diagnostic instruments is essential. In the care of psychologically distressed refugees, culturally sensitive standardized diagnostics offer critical benefits for both practitioners and affected individuals. Existing resources are being referred to.

Ultrasensitive electrospinning fibrous strain sensor with synergistic conductive network for human motion monitoring and human-computer interaction

With the rapid development of wearable electronic skin technology, flexible strain sensors have shown great application prospects in the fields of human motion and physiological signal detection, medical diagnostics, and human-computer interaction owing to their outstanding sensing performance. This paper reports a strain sensor with synergistic conductive network, consisting of stable carbon nanotube dispersion (CNT) layer and brittle MXene layer by dip-coating and electrostatic self-assembly method, and breathable three-dimensional (3D) flexible substrate of thermoplastic polyurethane (TPU) fibrous membrane prepared through electrospinning technology. The MXene/CNT@PDA-TPU (MC@p-TPU) flexible strain sensor had excellent air permeability, wide operating range (0–450 %), high sensitivity (Gauge Factor, GFmax = 8089.7), ultra-low detection limit (0.05 %), rapid response and recovery times (40 ms/60 ms), and excellent cycle stability and durability (10,000 cycles). Given its superior strain sensing capabilities, this sensor can be applied in physiological signals detection, human motion pattern recognition, and driving exoskeleton robots. In addition, MC@p-TPU fibrous membrane also exhibited excellent photothermal conversion performance and can be used as a wearable photo-heater, which has far-reaching application potential in the photothermal therapy of human joint diseases.

PERAN ORANG TUA DALAM MENDAMPINGI KEGIATAN BERMAIN GADGET PADA ANAK USIA DINI DUSUN LOROKAN RT 012 RW 004 DESA BOTO KECAMATAN LUMBANG KABUPATEN PROBOLINGGO

The role of parents in accompanying gadget playing activities in early childhood is very important because parents are the closest family to children, parents must play an active role in efforts to protect children. The aim of this research is to determine the role of parents in accompanying children's gadget playing activities. aged 5-6 years. This research used qualitative methods. This research was conducted in Lorokan Hamlet RT 12 RW 004 Boto Village, Lumbang District, Probolinggo Regency. The research time was September to November. The research subjects were parents who had children aged 5-6 years. and the number of informants was 6 heads of families who had children aged 5-6 years. Data collection techniques used observation, interviews and documentation. The results of the research were that parents introduced modern forms of technology to young children such as cellphones, laptops, etc. Parents set limits time when using gadgets in early childhood by limiting the time of use, so when can children play and stop playing with gadgets. Parents give moral values ​​to young children when using gadgets through the applications on the gadget so that it is easier to set a role model for children through interesting stories on gadgets. Parents provide supervision in using gadgets for children by supervising children when playing with gadgets. Keywords: Role of Parents, Gadgets, Early Childhood

Clinical Profile, Laboratory Characteristics and Treatment of Wilson’s Disease in Children from Western India

To study the clinical profile and laboratory characteristics and treatment of children with Wilson’s disease (WD). The current study was done at Department of pediatrics, Sir Padampat Institute of Neonatology and Pediatric Health, Sawai Man Singh Medical College, Jaipur. It was an observational study and institution ethics committee approved the study. Patients visiting the outpatient department or admitting in wards with clinical presentation suggestive of WD were enrolled in the study after obtaining a valid informed written consent. Patients subjected to detailed clinical history and physical examination. All patients subjected to routine blood count, biochemistry including liver function tests and specific laboratory investigations. They underwent ophthalmological examination. Ultrasonography abdomen and liver biopsy performed in enrolled patients. Magnetic resonance imaging brain carried out in patients with neurological WD. Ferenci score was calculated for each of the patients. Total 50 patients were included in the study. Mean age at the time of diagnosis was 9.4 years with delay of 11 months after onset of symptoms. Male is to female ratio was 2/1. Hepatic manifestation were seen in 76% patients and 24% patients presented with neurological disease. Kayser-Fleischer ring was seen in 44% patients with hepatic disease and 83% patients with neurological disease. Twenty-four hour urinary copper was more than 2 time of upper limit of normal in all patients. Fifty-four percent patients showed improvement with chelation therapy and 9 patients died during the study period. WD in children has varied clinical manifestation and early diagnosis is necessary for good prognosis. It requires wide range of tests as genetic testing is not easily available. Acute liver failure has high mortality. Early chelation therapy reverses the clinical and biochemical abnormalities.

Development and validation of a machine learning predictive model for perioperative myocardial injury in cardiac surgery with cardiopulmonary bypass

BackgroundPerioperative myocardial injury (PMI) with different cut-off values has showed to be associated with different prognostic effect after cardiac surgery. Machine learning (ML) method has been widely used in perioperative risk predictions during cardiac surgery. However, the utilization of ML in PMI has not been studied yet. Therefore, we sought to develop and validate the performances of ML for PMI with different cut-off values in cardiac surgery with cardiopulmonary bypass (CPB).MethodsThis was a second analysis of a multicenter clinical trial (OPTIMAL) and requirement for written informed consent was waived due to the retrospective design. Patients aged 18–70 undergoing elective cardiac surgery with CPB from December 2018 to April 2021 were enrolled in China. The models were developed using the data from Fuwai Hospital and externally validated by the other three cardiac centres. Traditional logistic regression (LR) and eleven ML models were constructed. The primary outcome was PMI, defined as the postoperative maximum cardiac Troponin I beyond different times of upper reference limit (40x, 70x, 100x, 130x) We measured the model performance by examining the area under the receiver operating characteristic curve (AUROC), precision-recall curve (AUPRC), and calibration brier score.ResultsA total of 2983 eligible patients eventually participated in both the model development (n = 2420) and external validation (n = 563). The CatboostClassifier and RandomForestClassifier emerged as potential alternatives to the LR model for predicting PMI. The AUROC demonstrated an increase with each of the four cutoffs, peaking at 100x URL in the testing dataset and at 70x URL in the external validation dataset. However, it’s worth noting that the AUPRC decreased with each cutoff increment. Additionally, the Brier loss score decreased as the cutoffs increased, reaching its lowest point at 0.16 with a 130x URL cutoff. Moreover, extended CPB time, aortic duration, elevated preoperative N-terminal brain sodium peptide, reduced preoperative neutrophil count, higher body mass index, and increased high-sensitivity C-reactive protein levels were identified as risk factors for PMI across all four cutoff values.ConclusionsThe CatboostClassifier and RandomForestClassifer algorithms could be an alternative for LR in prediction of PMI. Furthermore, preoperative higher N-terminal brain sodium peptide and lower high-sensitivity C-reactive protein were strong risk factor for PMI, the underlying mechanism require further investigation.

Recyclable Bimodal Polyvinyl Alcohol/PEDOT:PSS Hydrogel Sensors for Highly Sensitive Strain and Temperature Sensing.

Multimodal flexible sensors, consisting of multiple sensing units, can sense and recognize different external stimuli by outputting different types of response signals. However, the recovery and recycling of multimodal sensors are impeded by complex structures and the use of multiple materials. Here, a bimodal flexible sensor that can sense strain by resistance change and temperature by voltage change was constructed using poly(vinyl alcohol) hydrogel as a matrix and poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS) as a sensing material due to its conductivity and thermoelectric effect. The plasticity of hydrogels, along with the simplicity of the sensor's components and structure, facilitates easy recovery and recycling. The incorporation of citric acid and ethylene glycol improved the mechanical properties, strain hysteresis, and antifreezing properties of the hydrogels. The sensor exhibits a remarkable response to strain, characterized by high sensitivity (gauge factor of 4.46), low detection limit (0.1%), fast response and recovery times, minimal hysteresis, and excellent stability. Temperature changes induced by hot air currents, hot objects, and light cause the sensor to exhibit high response sensitivity, fast response time, and good stability. Additionally, variations in ambient humidity and temperature minimally affect the sensor's strain response, and temperature response remains unaffected by humidity changes. The recycled sensors are essentially unchanged for bimodal sensing of strain and temperature. Finally, bimodal sensors are applied to monitor body motion, and robots to sense external stimuli.

Characteristics of laser induced plasma near a flat gas-liquid interface and its effect on the performance of laser induced breakdown spectroscopy (LIBS) detection

Moving the laser focus to the vicinity of the gas-liquid interface is the key point for many new enhanced and new methods to improve the quality of spectral signals in water Laser induced breakdown spectroscopy (LIBS) detection. Understanding the generation and evolution characteristics of the plasma induced by pulsed laser near the gas–liquid interface is of great significance for the establishment of evolution models and improvement of these new LIBS methods. In this paper, a set of slow horizontal flow auxiliary system is established to provide an ideal flat gas–liquid two-phase interface experimental condition. Experimental research on vertical incidence flat system was conducted using techniques such as time-resolved imaging, plasma characterization diagnosis, and spectral analysis. And the detection capabilities of the system were also tested. The characteristics and mechanisms of LIBS near the gas-liquid two-phase interface were investigated with the laser incident on the sample along the vertical direction. Simulation of the laser beam focusing process and observation of laser beam spot images show that the shift of plasma generation position relative to the focal point results from the refraction of the laser beam entering the solution from the air and the ‘interface effect’ of propagation on the vertical direction. Moreover, the plasma forms only the optical power density surpasses the breakdown threshold. In this work, plasma with smaller size, rounder shape, stronger radiation, higher temperature, and higher density can be produced when the focus position is in the liquid column 0.3 mm away from the upper interface. Simultaneously, for example, the Mg ion line at 285.213 nm, the obtained spectral intensity to signal-to-background ratio reaches the maximum value, and a better spectral signal can be obtained, which is 2–4 times of other positions, and the detection limits of the elements Na, Mg, and Ca also reach the lowest level, with 1.6–2.4 times of the detection limit of other focusing positions for Mg and 1.4–1.7 times for Ca, respectively.

Hybrid feature selection in a machine learning predictive model for perioperative myocardial injury in noncoronary cardiac surgery with cardiopulmonary bypass.

Perioperative myocardial injury (PMI) is associated with increased mobility and mortality after noncoronary cardiac surgery. However, limited studies have developed a predictive model for PMI. Therefore, we used hybrid feature selection (FS) methods to establish a predictive model for PMI in noncoronary cardiac surgery with cardiopulmonary bypass (CPB). This was a single-center retrospective study conducted at the Fuwai Hospital in China. Patients aged 18-70years who underwent elective noncoronary surgery with CPB at our institution from December 2018 to April 2021 were enrolled. The primary outcome was PMI, defined as the postoperative cardiac troponin I (cTnI) levels exceeding 220 times of upper reference limit (URL). Statistical analyses were conducted by Python (Python Software Foundation, version 3.9.7 and integrated development environment Jupyter Notebook 1.1.0) and SPSS software version 26.0 (IBM Corp., Armonk, New York, USA). A total of 1130 patients were eventually eligible for this study. The incidence of PMI was 20.3% (229/1130) in the overall patients, 20.6% (163/791) in the training dataset, and 19.5% (66/339) in the testing dataset. The logistic regression model performed the best AUC of 0.6893 (95 CI%: 0.6371-0.7382) by the traditional selection method, and the random forest model performed the best AUC of 0.6937 (95 CI%: 0.6416-0.7423) by the union of Wrapper and Embedded method, and the CatBoost model performed the best AUC of 0.6828 (95 CI%: 0.6304-0.7320) by the union of Embedded and forward logistic regression technique, and the Naïve Bayes model achieved the best AUC with 0.7254 (95 CI%: 0.6746-0.7723) by forwarding logistic regression method. Moreover, the decision tree, KNeighborsClassifier, and support vector machine models performed the worse AUC in all selection forms. Furthermore, the SHapley Additive exPlanations plot showed that prolonged CPB, aortic clamp time, and preoperative low platelets count were strongly related to the PMI risk. In total, four category feature selection methods were utilized, comprising five individual selection techniques and 15 combined methods. Notably, the combination of logistic regression and embedded methods demonstrated outstanding performance in predicting PMI risk. We also concluded that the machine learning model, including random forest, catboost, and Naive Bayes, were suitable candidates for establishing PMI predictive model. Nevertheless, additional investigation and validation are imperative for substantiating these finding.

A smartphone-integrated test paper sensing platform for visual and intelligent detection of nitrofurantoin in honey samples

The development of a rapid and convenient detection method for nitrofurantoin (NFT) residual is of great significance for food safety. Herein, a new fluorescent probe (Eu-TDCA-Phen) was developed for the visual and sensitive assay of NFT through the fluorescence quenching effect of inner filter effect (IFE) and photo-induced electron transfer (PET). The probe suspension demonstrates a wide linear range (0–0.16 mM), low detection limit (90 nM), high sensitivity, and rapid response time (2 min) in the “turn-off” process. To quantify the visual detection process, a smartphone-assisted test paper sensing platform was established and was applied for NFT determination in real honey samples, achieving satisfactory recovery rate ranges from 98.04 % to 105.04 %. Furthermore, a logic gate device was integrated with the sensing platform to streamline the visual detection process. The sensing platform offers several merits, including simpleness, quantification, portability and cost-effectiveness, making it highly suitable for real-time and on-site detection of antibiotics in food samples.

A Stretchable and Tough Conductive Elastic Film for Multifunctional Flexible Strain Gauges

AbstractAs an important branch of modern science and technology, flexible sensor combines the functions of traditional sensors with the characteristics of flexible materials to meet the needs of modern electronic devices for lightweight, flexible and wearable characteristics. However, flexible sensors are faced with problems such as poor stability and weak anti‐interference ability in extreme environments. Here, a strategy of combining thermoplastic polyurethane and conductive carbon black is adopted to obtain conductive elastic film with good conductivity and excellent mechanical properties (TPU@CB film). TPU@CB film exhibits very good mechanical strength (8 MPa). When TPU@CB film is assembled into a sensor, it exhibits wide detection range (600%), low detection limit (0.05%) and short response time (15 ms). Notably, the TPU@CB film demonstrates clear detection capabilities for both ECG and EMG signals of the human body when utilized as an electrode patch. Thanks to lithography, TPU@CB film is machined into strain gauge shape. TPU@CB strain gauge achieves a high signal‐to‐noise ratio and can detect a wide range of frequency vibrations from 0 to 900 Hz, as well as accurately detect the speed of the motor. This provides a feasible way to promote the development of flexible electronics.