Abnormal Temperature Research Articles

Numerical Investigation of the Effect of the Wall Properties on Downward Mercury Flow and Temperature Fluctuations in a Vertical Heated Pipe under a Transverse Magnetic Field

The work is motivated by the need to study the effect of abnormal quasi-periodic high-amplitude temperature fluctuations in a liquid metal flow in pipes and channels, which arise under conditions close to those specific for liquid metal (PbLi alloy, etc.) hydrodynamics and heat transfer in blankets of tokamak fusion reactors. Such temperature fluctuations in the cooling channels of the fusion reactor blanket pose a threat to the strength of the channel walls. The influence of the physical properties of the channel walls and potential fouling of their inner surface on the generation of these fluctuations has not been studied as yet. Therefore, this problem has been numerically investigated for a MHD mixed convection of a liquid metal in a round tube for a downward flow of mercury with the one-side heating condition under a strong transverse magnetic field using conjugate problem statement by the LES (Large Eddy Simulation) method. Numerical simulation was performed for four cases: (i) the effect of thermophysical and electrophysical properties of the steel pipe wall is neglected, (ii) the effect of wall material properties is included, (iii) the effect of the moderate contact electrical resistance caused by a layer of fouling deposits or oxides on the inner surface of the pipe is accounted for, and (iv) the resistance of the thin fouling layer is assumed to be very high. The predictions for the cases (i) and (iv) are in good agreement with the experimental data and the results of the direct numerical simulation. They demonstrate the existence of quasi-periodic abnormal high-amplitude temperature fluctuations in the fluid with a frequency of approximately 0.14 Hz. With a relatively low electrical resistance of the fouling film (case iii), the frequency of high-amplitude temperature fluctuations was considerably lower (0.07 Hz). In the absence of electrical contact resistance on the inner surface of the steel pipe (case ii), high-amplitude velocity and temperature fluctuations were not revealed in the fluid. Thus, it was shown for the first time that the physical properties of a wall and the electrical resistance between the fluid and the electrically conducting wall were responsible for the development of abnormal temperature fluctuations in the liquid and the wall and control of their amplitude and frequency. The causes of the revealed effects are discussed.

Temperature instantaneous online monitoring methods of thermal runaway based on electrode process principle

With the properties of suitable operating voltage, high energy density and stable structure, sodium-ion batteries are widely used in energy storage systems as the most promising alternative to lithium-ion batteries. However, the thermal runaway of sodium ion battery has occurred easily, which poses a great threat to the whole safety system of battery. This paper discusses a method to predict and prevent thermal runaway of sodium-ion batteries by measuring electrochemical impedance of battery. Based on the electrode material with the role of temperature control detector, the working temperature inside the battery can be directly reflected and monitored in real time, and the method is not only simple, fast, accurate, efficient, but also low-cost, which can achieve real-time on-line monitoring of the temperature inside the battery. In this work, using the sodium-ion batteries for study, it has been found that the charge transfer resistance (Rct), peak current (Ip), diffusion coefficient (D0) and cell internal temperature rare the key factors in battery effeciency. Therefore, the corresponding functional relationship can be established to effectively control the normal operation of the battery by exploring instantaneous detection of temperature sensitive electrochemical parameters, and timely disposes the battery with abnormal temperature to avoid the thermal runaway.

Development of abnormal facial temperature detection technology using thermal imaging to prevent the spread of infectious diseases

Substantial research has been conducted on image-based augmentation, segmentation, detection, and classification of COVID-19. Thermal image classification methods have been used to identify people with high fever. However, these methods cannot always identify infected patients because aberrant images cannot be detected using face temperatures. For example, if the individual in the thermal image cleansed his/her face a few minutes earlier or was perspiring, the method cannot reliably determine their facial temperature. Moreover, the active movements of the human body can produce temperature variations in the face. Thus, achieving high accuracy remains challenging in thermal facial image identification. Therefore, in this study, a novel research has been conducted to solve the problems. Based on preliminary experimental results, a deep-learning-based classification system was proposed for detecting faces with abnormal facial temperatures in thermal pictures. Two different experiments including abnormal face images detection and classification were conducted. To conduct these experiments, a self-collected thermal face-image dataset including abnormal (faces after exercise, sweaty and wet faces) and normal images was used. In the detection method, a binary image classification was conducted to classify the abnormal and normal images. Moreover, in the classification method, an input image is classified into four classes, such as normal faces (class 1) and three abnormal faces, namely, after physical activity (class 2), sweaty face (class 3), and wet face (class 4). Testing on the dataset collected in this study revealed that the proposed detection and classification methods achieved F1-score of 95.71 and 96.17, respectively. These performances are superior to those of the state-of-the-art methods.

Cardiac Troponin I and Electrocardiographic Evaluation in Hospitalized Cats with Systemic Inflammatory Response Syndrome.

Several studies conducted on humans demonstrate the increase in cardiac troponins and the onset of arrhythmias in the course of systemic inflammatory response syndrome (SIRS). The aim of the current study was to assess the blood concentration of cardiac troponin I (cTnI) and electrocardiographic findings in SIRS-affected cats. Seventeen shorthair cats hospitalized with SIRS were enrolled (Group 1). SIRS diagnosis was performed based on the detection of at least two of the four criteria such as abnormal body temperature, abnormal heart rate (i.e., tachycardia or bradycardia), abnormal respiratory rate (i.e., tachypnea or bradypnea), and alterations of white blood cell number (i.e., leukocytes or band neutrophils). Ten cats screened for elective surgery such as neutering or dental procedures were evaluated as a control population (Group 2). They were considered healthy based on history, physical examination, hematological and biochemical profile, urinalysis, coprological exam, thyroxine assay, blood pressure measurement, and echocardiography. A physical examination, complete blood cell count, biochemistry test (including an electrolyte panel), electrocardiographic examination, and cTnI assay were carried out in each cat enrolled. Traumatic events, gastrointestinal, neoplastic, respiratory, and neurological disorders were identified as causes of SIRS in Group 1. In Group 1, a significantly higher concentration of cTnI than that in Group 2 was recorded (p = 0.004). In 37.5% of cats with SIRS, ventricular premature complexes occurring in couplets with multiform configuration were detected. Similarly, to humans, data herein reported would indicate possible cardiac damage present in cats with SIRS diagnosis.

Arabidopsis TCP4 transcription factor inhibits high temperature-induced homeotic conversion of ovules

Abnormal high temperature (HT) caused by global warming threatens plant survival and food security, but the effects of HT on plant organ identity are elusive. Here, we show that Class II TEOSINTE BRANCHED 1/CYCLOIDEA/ PCF (TCP) transcription factors redundantly protect ovule identity under HT. The duodecuple tcp2/3/4/5/10/13/17/24/1/12/18/16 (tcpDUO) mutant displays HT-induced ovule conversion into carpelloid structures. Expression of TCP4 in tcpDUO complements the ovule identity conversion. TCP4 interacts with AGAMOUS (AG), SEPALLATA3 (SEP3), and the homeodomain transcription factor BELL1 (BEL1) to strengthen the association of BEL1 with AG-SEP3. The tcpDUO mutant synergistically interacts with bel1 and the ovule identity gene seedstick (STK) mutant stk in tcpDUO bel1 and tcpDUO stk. Our findings reveal the critical roles of Class II TCPs in maintaining ovule identity under HT and shed light on the molecular mechanisms by which ovule identity is determined by the integration of internal factors and environmental temperature.

Effect of different suspension moxibustion methods on syndrome characteristics of rats with rheumatoid arthritis of heat bi syndrome based on "moxibustion can be used for heat syndrome"

To observe the effects of different suspension moxibustion methods on the syndrome characteristics and inflammatory factors of rats with rheumatoid arthritis (RA) of heat bi syndrome and to prove the concept of "moxibustion can be used for heat syndrome". Among seventy Wistar rats, 12 rats were randomly selected as a normal group, and the remaining rats were induced by collagen combined with wind, dampness, and heat environmental stimulation to establish the RA model of heat bi syndrome. Forty-eight rats with successful model establishment were further randomly divided into a model group and three moxibustion groups (mild moxibustion group, rotating moxibustion group and sparrow-pecking moxibustion group), with 12 rats in each group. The acupoints "Quchi" (LI 11), "Dazhui" (GV 14) and ashi point were used in all moxibustion groups, with mild moxibustion, rotating moxibustion, and sparrow-pecking moxibustion intervention given respectively, each acupoint was treated with moxibustion for 10 min a day, and 6 days were considered one course of treatment, with a total of three courses. After the intervention, the arthritis index (AI), the Evans blue (EB) extravasated volume in the soft tissue of the right hind paw, and the levels of tumor necrosis factor (TNF)-α and interleukin (IL)-10 in the serum were measured by ELISA in each group. The volume of the bilateral hind paw was measured; the infrared thermal imaging was collected to analyze the temperature of the plantar area of the bilateral foot pads, and the reaction time of plantar heat pain was calculated before and after modeling, as well as after the 1st, 2nd and 3rd courses of interrention. The ankle dorsiflexion angle of the right hind foot was also measured before and after modeling, as well as after the intervention. After modeling, compared with the normal group, the rats in the model group had more high-temperature areas in the bilateral hind limbs, abnormal AI score, abnormal bilateral hind paw volume, abnormal temperature of the plantar area of the bilateral foot pads, abnormal foot pain response time, abnormal right hind ankle dorsiflexion angle, abnormal right hind paw soft tissue EB extravasation, and abnormal serum TNF-α and IL-10 levels (P<0.01, P<0.05). After the intervention, compared with the model group, the rats in each moxibustion group had decreased or disappeared high-temperature areas in the bilateral hind limbs, EB extravasated volume in the soft tissue of the right hind paw was reduced (P<0.05), and the right ankle dorsiflexion angle was increased (P<0.05), serum level of TNF-α was reduced, and level of IL-10 increased (P<0.05); the AI scores in the mild moxibustion group and the sparrow-pecking moxibustion group was decreased (P<0.01, P<0.05). After the 1st, 2nd and 3rd courses of intervention, compared with the model group, the bilateral hind paw volume of rats in each moxibustion group was decreased (P<0.05, P<0.01), and plantar heat pain reaction time was increased (P<0.05). After the 2nd course and the 3rd course of intervention, the temperature of the right hind paw pad area was decreased in each moribustion group (P<0.05); after the 3rd courses of intervention, the temperature of the left hind paw pad area was decreased in the mild moxibustion group (P<0.05). Suspension moxibustion could adjust the serum levels of TNF-α and IL-10 to improve the syndrome characteristics of RA rats of heat bi syndrome, such as joint redness, swelling, heat, pain and activity restriction. The effect of mild moxibustion is the most prominent. The findings could provide scientific basis for "moxibustion can be used for heat syndrome".

Research on Cable Head Monitoring Technology for Transmission Lines

Buried cables are located in harsh environments with high corrosion, uneven soil acidity and alkalinity, and groundwater immersion, resulting in complex structures. Especially for long-distance 10 kV transmission cables, the path planning is relatively long and cannot be connected at once, requiring a connection at the middle end of the cable. The production of cable joints is generally carried out in the foundation pit or well, with complex processes and manual production throughout the entire process, which cannot avoid manual technical deviations. Therefore, cable line faults mostly occur in the intermediate joints. Due to the uneven distribution of the temperature field caused by the accumulation of the electric field, the heat is transferred outward from the peeling chamfer point, resulting in uneven heating. In addition to the skin effect and proximity effect of current, the accumulation of electric field at the chamfer process point of the main insulation and outer semiconducting layer is intensified, and then the insulation is gradually broken down, causing a short circuit or ground fault. This article first studies the temperature and electric field distribution at the cable joint, and considers installing a small temperature sensor at the middle joint of the cable. The sensor is powered by a small electromagnetic energy coil, which can monitor abnormal temperature and electric field changes at the joint in real-time.

이상저온 발생 시점 확인을 위한 알고리즘 패턴 개발

이상저온 발생 시점 확인을 위한 알고리즘 패턴 개발

Intraseasonal Reversal of Winter Temperature Anomalies in Eastern China in Early 2022 and Its Possible Causes

A remarkable intraseasonal reversal of temperature anomaly is witnessed in eastern China in early 2022, characterized by a warm January and a cold February. ERA5 daily reanalysis data, multiple regression and the Linear Baroclinic Model (LBM) are employed to investigate the characteristics and causes of this abnormal temperature Pattern. The findings indicate that: (1) The two Rossby wave trains along the south and north westerly jets over Eurasia have synergistic impacts on middle and high latitudes. In January, the south branch Rossby wave train exhibited a positive phase, coinciding with a negative phase in the north branch wave train. As a result, the south trough strengthens, while the north trough weakens, leading to anomalous warm advection that warms eastern China. In February, the phases of these two Rossby waves are reversed, causing anomalous cold advection as the southern trough diminishes and the northern trough intensifies, resulting in colder conditions in eastern China. (2) Tropical convection activity weakens in January, whereas it intensifies in February in the northeast Indian Ocean. The weakening of the East Asian trough as a result of the convective latent heat anomalies caused an anticyclonic circulation over the Korean Peninsula in January through the Pacific-Japan teleconnection-like pattern, which is necessary for the maintenance of warm anomalies. Conversely, increased convective activity in February induces cyclonic circulation, deepening the East Asian trough over the Korean Peninsula and contributing to the persistence of cold anomalies. (3) The Rossby wave trains along the two westerly jets and the tropical convective activity in the northeastern Indian Ocean work in tandem, simultaneously strengthening or weakening the East Asian trough. Consequently, the East Asian trough weakens in January and strengthens in February.

Detecting abnormal behavior of automatic test equipment using autoencoder with event log data

The utilization of automatic test equipment (ATE) in a wafer test is crucial because it helps maintain optimal temperatures and simultaneously provides electrical power for multiple chips. Ensuring the proper functioning of ATE is essential to avoid productivity losses, such as extended wafer testing times and potential malfunctions. Although previous research has investigated the detection of ATE malfunctions using yields, probe cards, and electrical characteristic data, these approaches exhibit limitations in data characteristics and are not suitable for continuous monitoring. This study introduces a novel approach for detecting abnormal behavior within ATE by using event log data and an autoencoder. Autoencoders have demonstrated efficacy in identifying abnormal behavior, making them apt for detecting such behavior within ATE using event log data. To develop this approach, data analysts and wafer test engineers collaborated to establish a practical methodology that encapsulates the operational characteristics of ATE. This methodology comprises four distinct steps. The proposed approach was assessed using simulated event log data and was proven effective in detecting abnormal behavior within ATE. Furthermore, the approach was applied to real-world ATE data from a semiconductor company, identifying abnormal temperature control and monitoring behavior. This detection can lead to reduced wafer test times and contribute to environmental protection efforts.

The Study on Solving Large Pore Heat Transfer Simulation in Malan Loess Based on Volume Averaging Method Combined with CT Scan Images

Malan loess is a wind-formed sediment in arid and semi-arid regions and is an important constituent of the Earth’s critical zone. Therefore, the study of the relationship between microstructure and heat transfer in Malan loess is of great significance for the in-depth understanding of the heat transfer mechanism and the accurate prediction of the heat transfer properties of intact loess. In order to quantitatively characterize the heat transfer processes in the two-phase medium of solid particles and gas pores in the intact loess, this study used modern computed tomography to CT scan the Malan loess in Huan County, Gansu Province, the western part of the Loess Plateau, China and used the specific yield of the intact Malan loess as the parameter basis for extracting the threshold segmentation of the large pores in the scanned images for the three-dimensional reconstruction of the connected large pores. An experimental space for heat conduction of intact Malan loess was constructed, and the surface temperature of Malan loess was measured on the surface of the space with a thermal imager. The simulation of the heat conduction process was carried out using the solution program in AVIZO (2019) software using the volume averaging method combined with CT scanning to reconstruct the 3D pores. The experiments of heat conduction in the intact Malan loess showed that for a given external temperature pressure, the temperature decreases along the heat flow direction as a whole. The temperature of the pores in the normal plane along the heat flow direction is higher than the temperature of the solid skeleton. Abnormal temperature points were formed at the junction of the surface and internal pores of Maran loess, and the temperature of the jointed macropores was about 1 °C higher at the surface of the sample than that of the surrounding solid skeleton. Simulation of heat conduction in Malan loess showed that the heat transfer process in Malan loess was preferentially conducted along the large pores and then the heat was transferred to the surrounding Malan loess particle skeleton. The simulation results of heat conduction in Malan loess were in high agreement with the experimental results of heat conduction in Malan loess, which verifies the reliability of the calculated model.

Modeling and Analysis of Aluminum Cable Joints in Steady State for New Energy Stations

Compared with copper cables, aluminum cables have certain advantages in engineering costs and transportation costs, but have installation difficulties in the application process. However, limited by the manufacturing process, installation technology, and operating conditions, the intermediate joint of the aluminum cable is prone to failures such as insulation deterioration caused by abnormal temperature. The temperature of the core of the conductor in a steady state in the cable joint is the most direct and effective physical quantity, which can reflect the operating state. So modeling and analysis of the aluminum cable joint, as well as the study of its internal temperature change mechanism and influencing factors, are to improve the process and installation level of the aluminum cable joint and to develop the basis of the corresponding temperature monitoring system. In this paper, the thermal conduction mechanism of aluminum cable joints in a steady state is analyzed by using the thermal circuit theory. Then, the thermal circuit model of aluminum cable joints in a steady state based on the equivalent thermal circuit model and its parameter calculation method are proposed. By building an experimental platform, the validation experiment finally proved the accuracy of the method proposed in this paper.

A Hybrid Model for Billet Tapping Temperature Prediction and Optimization in Reheating Furnace

To predict and optimize the billet heating process in reheating furnace for rolling mills, this paper proposes a hybrid model that combines data-driven model with traditional mechanism knowledge, abbreviated as HMDM. By examining the heat conduction mechanism, a billet temperature distribution equation is established. Then, the billet temperature distribution in each heating zone is calculated and spliced with the corresponding process parameters. The Stacked-AutoEncoder is utilized to extract the features of process parameters, and the Long Short Term Memory model is employed to predict the temperature. Finally, using the previous predictions, the parameters of the subsequent heating stage are optimized and adjusted during the heating process. The experimental results on the real steel plant verify the effectiveness of HMDM. For example, the temperature prediction error has been reduced to less than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$4^{\circ }$</tex-math></inline-formula> C, and the number of billets with abnormal tapping temperature has been decreased by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$42.9\%$</tex-math></inline-formula> .

Dissecting contributions of individual systemic inflammatory response syndrome criteria from a prospective algorithm to the prediction and diagnosis of sepsis in a polytrauma cohort.

Sepsis is the leading cause of death in intensive care units (ICUs), and its timely detection and treatment improve clinical outcome and survival. Systemic inflammatory response syndrome (SIRS) refers to the concurrent fulfillment of at least two out of the following four clinical criteria: tachycardia, tachypnea, abnormal body temperature, and abnormal leukocyte count. While SIRS was controversially abandoned from the current sepsis definition, a dynamic SIRS representation still has potential for sepsis prediction and diagnosis. We retrospectively elucidate the individual contributions of the SIRS criteria in a polytrauma cohort from the post-surgical ICU of University Medical Center Mannheim (Germany). We used a dynamic and prospective SIRS algorithm tailored to the ICU setting by accounting for catecholamine therapy and mechanical ventilation. Two clinically relevant tasks are considered: (i) sepsis prediction using the first 24 h after admission to our ICU, and (ii) sepsis diagnosis using the last 24 h before sepsis onset and a time point of comparable ICU treatment duration for controls, respectively. We determine the importance of individual SIRS criteria by systematically varying criteria weights when summarizing the SIRS algorithm output with SIRS descriptors and assessing the classification performance of the resulting logistic regression models using a specifically developed ranking score. Our models perform better for the diagnosis than the prediction task (maximum AUROC 0.816 vs. 0.693). Risk models containing only the SIRS level average mostly show reasonable performance across criteria weights, with prediction and diagnosis AUROCs ranging from 0.455 (weight on leukocyte criterion only) to 0.693 and 0.619 to 0.800, respectively. For sepsis prediction, temperature and tachypnea are the most important SIRS criteria, whereas the leukocytes criterion is least important and potentially even counterproductive. For sepsis diagnosis, all SIRS criteria are relevant, with the temperature criterion being most influential. SIRS is relevant for sepsis prediction and diagnosis in polytrauma, and no criterion should a priori be omitted. Hence, the original expert-defined SIRS criteria are valid, capturing important sepsis risk determinants. Our prospective SIRS algorithm provides dynamic determination of SIRS criteria and descriptors, allowing their integration in sepsis risk models also in other settings.

Phase transition monitoring and temperature sensing via FIR technology in Bi/Sm‐codoped KNN transparent ceramics

AbstractThe phase transition temperature (e.g., that of orthorhombic‐tetragonal TO‐T) of relaxor ferroelectrics are commonly obtained through electrical method (i.e., temperature dependence of dielectric constant), and the samples need to be coated with metal electrode and tested by a sophisticated impedance analyzer. This contact measuring method is inefficient, inconvenient and easy to damage the sample surface, inapplicable to transparent ferroelectrics. Here, we successfully fabricated Bi/Sm co‐doped K0.5Na0.5NbO3 transparent ceramics with photoluminescent behavior and relaxor‐like ferroelectricity, which simultaneously realized TO‐T monitoring and temperature sensing via fluorescence intensity ratio (FIR) technology. This simple, rapid, noncontact and nondestructive optical way displays small TO‐T deviation (merely 0.78%) compared to the electrical method. And the temperature‐dependent optical characteristics and coercive electric field all present abrupt changes, whose abnormal temperature regions are in accordance with that around TO‐T. In addition, the maximum absolute sensitivity and relative sensitivity of the ceramics reach 0.0072 K−1 (at 533 K) and 0.0111 K−1 (at 453 K), respectively, exhibiting superior optical temperature sensing performance. The tactical use of FIR technology is of great significance for widening the applications of luminescent‐ferroelectric transparent ceramics.

Study on helium gas bubble levitation in high field superconducting magnet

The abnormal temperature rise and early quench often happened to the high field superconducting magnet, especially when the magnetic field is higher than 20 T. This phenomenon is attributed to helium gas bubbles levitation in the special high magnetic field environment. So, it is very important to accurately identify the formation and distribution of helium gas bubbles levitation for the development of high field superconducting magnet. In this paper, a new analytical method based on pressure is proposed to analysis the formation conditions and the spatial distribution of helium gas bubbles levitation. And a no-insulation REBCO insert coil was also developed to study the phenomenon of helium gas bubbles levitation. The REBCO insert coil was tested in high magnetic field produced by a water-cooled magnet. The new analytical method was used to simulate the formation conditions of helium gas bubbles levitation and the temperature distribution of the REBCO insert.

Thermally Activated Defect Engineering for Highly Stable and Uniform ALD-Amorphous IGZO TFTs with High-Temperature Compatibility.

Highly stable IGZO thin-film transistors derived from atomic layer deposition are crucial for the semiconductor industry. However, unavoidable defect generation during high-temperature annealing results in abnormal positive bias temperature stress (PBTS). Herein, we propose a defect engineering method by controlling the gate insulator (GI) deposition temperature. Applying a GI deposition temperature of 400 °C to the In0.52Ga0.18Zn0.30O active layer effectively suppresses defects even after 600 °C annealing, preserving the amorphous phase of IGZO. The device exhibits a threshold voltage (VTH) of 0.05 V, a field-effect mobility of 27.6 cm2/Vs, a subthreshold swing of 61 mV/decade, and a hysteresis voltage of 0.01 V, demonstrating highly reliable PBTS and negative bias temperature stress. A power-law fit of the PBTS stability under 2 MV/cm of gate field stress and 120 °C of temperature stress predicts a VTH shift of -0.01 V after 10 years. Moreover, the proposed method ensures reliable uniformity over a large 4 in. area.

Facile construction of a flexible smart core-sheath flax yarns with temperature-responsive resistance for ultra-fast fire-alarm response

In order to improve the fire safety of combustible materials in daily life, the intelligent sensor with high sensitivity and wireless remote warning ability is urgently needed for early real-time fire detection. Herein, the intelligent core-sheath flax-GO/CS/PDA yarn prepared using the electrostatic interaction between graphene oxide (GO) sheets, chitosan (CS) molecules and polydopamine (PDA). According to the rapid reduction of resistance of GO stimulated at high temperature, it is reduced to reduced GO (rGO), forming a conductive network circuit. Due to the effective protection of the GO/CS/PDA layer on the flax yarn, it prevents the exchange of heat and oxygen, and improves the thermal stability and flame retardant of flax yarn. What's more, in the case of assembling 1 trilayer, the prepared intelligent core-sheath yarns achieve sensitive fire warning response time (∼3 s). The results show that the prepared core-sheath flax-GO/CS/PDA intelligent yarn have excellent flame retardancy and super-fast fire response speed at low temperature (<300 ℃). More importantly, the signal processing information received by the fire alarm device is transmitted to the wireless communication device via Bluetooth. Therefore, when the abnormal temperature is detected, the communication equipment will immediately emit an alarm sound. This study provides a new strategy and foresight for realizing the ideal fire performance and real-time temperature warning response time based on GO, and expands the application of GO network in early fire detection and wireless sensor warning.

Effect of abnormal values of three temperature indicators on ischemic stroke hospital admissions in Guangzhou, China

Abnormal temperature has important effects on the occurrence of ischemic stroke (IS). However, relatively less efforts have been taken to systematically unravel the association between various abnormal temperature and IS hospital admission. Focusing on three temperature indicators (i.e., mean temperature, maximum temperature, and minimum temperature), this study attempts to analyse how their abnormal values affect IS hospital admission. The dataset covers the period between September 17, 2012 and August 28, 2018, and includes a total of 1464 cases who were admitted to the hospital for the first onset of IS and lived in the main urban area of Guangzhou. The study adopts the time-stratified case-crossover analysis. Abnormal values of temperature were measured using the 2.5th and 97.5th quantile values of each temperature indicator, with the former refers to a low value whereas the latter a high one. The effects of abnormal temperature on IS hospital admission were assessed through calculating the relative risks induced by the low and high values (the median values of each temperature indicators were taken as the references). The results show that the risk window periods for IS hospital admission associated with the low values of the temperature indicators are the lags of 3–7 days and 18–19 days. The risks of high temperature values on IS admission, however, are insignificant with either one-day lag or cumulative lag. As to different population groups, females show higher risks of IS hospital admission at low temperature values than males; and elderly people, compared with young people, are more vulnerable to low temperature values. To cities with similar climate of Guangzhou, particular attention should be paid to the impact of low temperature values, especially the low value of minimum temperature, on IS admission, and to females and elderly people who are more sensitive to abnormal temperatures.

Risk constellation of hospital acquired pressure injuries in patients with a spinal cord injury/ disorder - focus on time since spinal cord injury/ disorder and patients' age.

Prospective cohort study. The aim of this study was to evaluate how time since spinal cord injury/disorder (SCI/D) and patients' age influence risk constellation for hospital acquired pressure injuries (HAPI) in patients with a SCI/D. Acute care and rehabilitation clinic specialized in SCI/D. We collected patients' characteristics and 85 risk factors for HAPI development in adults with SCI/D with at least one HAPI during their inpatient stay between August 2018 and December 2019. We analyzed patients' characteristics and HAPI risk factors using descriptive statistics according to time since SCI/D ( < 1 year, 1-15 years, > 15 years) and patients' age (18-35 years, 35-65 years, > 65 years). We identified 182 HAPI in 96 patients. Comparing patients with SCI/D < 1 year with the other groups, autonomic dysreflexia (p < 0.001), abnormal body temperature (p = 0.001), hypertensive episode (p = 0.005), and pneumonia (p < 0.001) occurred more frequently; mean hemoglobin (p < 0.001), albumin (p = 0.002) and vitamin D levels (p = 0.013) were significantly lower, and patients with time since SCI/D < 1 year scored fewer points (10-12) on the Braden Scale (p < 0.001). Comparing groups per patients' age, only the SCIPUS score was higher in patients > 65 years compared to the other two groups (p = 0.002). Different risk factor constellation seem to be underlying HAPI development with more differences in patients time since SCI/D than patients' age. Awareness of these differences in risk factor constellation depending on time since SCI/D in these patients might lead to different HAPI prevention strategies. The study team didn't receive any additional sponsorship.