Real-time Temperature Changes Research Articles

Experimental study on the effect of Mongolian medicine warming acupuncture on proBDNF-tPA-BDNF balance in depression rats based on thermal imaging monitoring

Depression is a kind of mental illness affecting the whole world. Its pathological mechanism is complex, involving neurobiological and psychosocial factors.The depression model rats were randomly divided into control group, warm acupuncture group and drug treatment group. In order to evaluate the local thermal effect of warm acupuncture and moxibustion, real-time temperature changes of rat forebrain were monitored by thermal imaging technology. After the experiment, immunohistochemistry and Western blot were used to detect the expression levels of tPA and BDNF in the forebrain of each group of rats, and the relationship between tPA and BDNF was analyzed. The results of thermal imaging monitoring showed that local forebrain temperature in warm acupuncture group was significantly increased compared with control group (p < 0.05). The ratio of tPA to BDNF was significantly improved in the warm acupuncture and moxibustion group, suggesting that warm acupuncture and moxibustion can effectively regulate the balance of TPA-BDNF. The experimental results based on thermal imaging monitoring suggest that warm acupuncture can improve the balance of TPA-BDNF in the forebrain of depressed rats by promoting the expression of BDNF and tPA in the forebrain, which may provide a new method and mechanism basis for the treatment of depression.

Developing the optimized control scheme for digital light processing 3D printing by combining numerical simulation and machine learning-guided temperature prediction

Digital light processing (DLP) 3D printing has attracted significant attention for its rapid printing speed, high accuracy, and diverse applications. However, the continuous DLP printing process releases substantial heat, resulting in a swift temperature rise in the curing area, which may lead to printing failures. Due to the lack of effective means to measure real-time temperature changes of the curing surface during continuous DLP 3D printing, the prevailing approach is to predict temperature variations during printing via numerical simulation. Nevertheless, temperature prediction methods relying solely on numerical simulation tend to be slow and overlook heat exchange dynamics during printing, potentially resulting in prediction inaccuracies, particularly for complex models. To address these issues, this paper proposes a method to combine numerical simulation and a machine learning approach for temperature prediction in the DLP 3D printing process, along with a printing control scheme generation method. Firstly, the m+nth order autocatalytic kinetic model considering the light intensity and the Beer–Lambert law are employed to formulate the heat calculation equation for the photopolymer resin curing reaction. Subsequently, a heat exchange calculation equation is established based on Fourier heat conduction law and Newton’s cooling equation. A numerical simulation model for temperature changes during the printing process is then developed by integrating the heat calculation equation, heat exchange calculation equation, and measurement data from Photo-DSC. Furthermore, a temperature measurement device for the printing process is designed to validate the accuracy of the numerical simulation. Following this, an improved Long Short-term Memory (LSTM) network is proposed, using temperature change data generated by the numerical simulation model to train the network for rapid (2×10−4s/layer) prediction of temperature changes during printing. Finally, aiming for the shortest printing time, an optimized control scheme planning algorithm and a target function are designed based on the model’s temperature change data and the monomer’s flash point to ensure the temperature remains below this threshold. This algorithm can automatically generate the optimal printing control scheme for any model. Experimental results demonstrate that the proposed temperature prediction method can predict temperature variation accurately. Based on this, the generated printing control scheme can guarantee efficient and high-quality manufacturing for anymodel.

Magnetic Torque-Driven All-Terrain Microrobots.

All-terrain microrobots possess significant potential in modern medical applications due to their superior maneuverability in complex terrains and confined spaces. However, conventional microrobots often struggle with adaptability and operational difficulties in variable environments. This study introduces a magnetic torque-driven all-terrain multiped microrobot (MTMR) to address these challenges. By coupling the structure's multiple symmetries with different uniform magnetic fields, such as rotating and oscillating fields, the MTMR demonstrates various locomotion modes, including rolling, tumbling, walking, jumping, and their combinations. Experimental results indicate that the robot can navigate diverse terrains, including flat surfaces, steep slopes (up to 75°), and gaps over twice its body height. Additionally, the MTMR performs well in confined spaces, capable of passing through slits (0.1 body length) and low tunnels (0.25 body length). The robot shows potential for clinical applications like minimally invasive hemostasis in internal bleeding and thrombus removal from blood vessels through accurate cargo manipulation capability. Moreover, the MTMR can carry temperature sensors to monitor environmental temperature changes in real time while simultaneously manipulating objects, displaying its potential for in-situ sensing and parallel task implementation. This all-terrain microrobot technology demonstrates notable adaptability and versatility, providing a solid foundation for practical applications in interventional medicine.

Enhancing resilience in urban utility tunnels power transmission systems: Analysing temperature distribution in near-wall cable fires for risk mitigation

Urban utility tunnels are integral to the underground power transmission systems of cities. Enhancing the understanding of cable fire hazards within these tunnels is pivotal for fostering risk-resilient underground environments. This study delves into the temperature distribution characteristics of near-wall cable fires in urban utility tunnels. Employing a reduced-scale utility tunnel model, a series of fire experiments were conducted, focusing on the safety monitoring of horizontally arranged cables. Cone calorimeter tests were initially performed to ascertain the heat release rate of cable fires. The study meticulously considered cable spatial position parameters, such as cable height and near-wall distance, as dependent variables, and monitored real-time temperature changes within the utility tunnel under various fire scenarios.The findings reveal that the cable’s proximity to the wall significantly influences the fire temperature field. For instance, when a fire near the sidewall (at 1 cm) is compared to one in the middle of the tunnel (at 20 cm), the ceiling maximum temperature is reduced by 38.9 %. The sidewall’s limiting effect diminishes fire energy release, moderates vertical temperature decay, and enhances longitudinal temperature attenuation. The study introduces dimensionless mathematical models that account for the sidewall effect, quantifying the characteristics of fire-induced smoke temperature distribution in utility tunnels, such as ceiling maximum temperature rise, vertical smoke temperature profile, and longitudinal smoke temperature decay. The models’ predicted values closely align with the experimental results.These insights are pivotal for integrating cable numbers and spatial positioning in scenario-based fire prevention and mitigation strategies. The study’s implications extend to the design and operation of urban utility tunnels, emphasizing the need for strategic cable placement and the potential for mathematical models to inform risk mitigation measures. The research contributes to the advancement of sustainable urban development by providing a framework for enhancing the safety and resilience of critical infrastructure against fire hazards.

Thermal-Sensitive Supramolecular Coordination Complex Formed by Orthogonal Metal Coordination and Host-Guest Interactions for an Electrical Thermometer.

Supramolecular coordination complexes (SCCs) are popular for their structural diversity and functional adaptability, which make them suitable for a wide range of applications. Photophysical and mechanical performance of SCCs are the most attractive characteristics, yet their ionically conductive behavior and potential in electrical sensing have been rarely investigated. This study reports a well-designed SCC that integrates orthogonal metal coordination and host-guest interactions to achieve sensitive electrical thermal sensing. Owing to the thermodynamic nature of the host-guest interaction, the SCC encounters thermally induced disassembly, leading to significantly enhanced ion mobility and thus allowing for the precise detection of minor temperature variation. The SCC-based thermometer is then fabricated with the assistance of 3D printing and demonstrates good accuracy and reliability in monitoring human skin temperature and real-time temperature changes of mouse during the whole anesthesia and recovery process. Our findings provide an innovative strategy for developing electrical thermometers and expand the current application scope of SCCs in electrical sensing.

Design and Implementation of Tire Pressure and Temperature Monitoring System for Hatchback and Multi-Purpose Vehicle Based on IoT

Tire Pressure Monitoring Systems (TPMS) have developed into an essential element in vehicles to improve safety and driving experience. In general, TPMS systems rely on special hardware to collect and transmit tire pressure data to the vehicle's on-board computer and this data can only be viewed by the driver and passengers in the vehicle. In this study, we developed a remote tire pressure and temperature monitoring system using IoT technology. The MQTT protocol facilitated communication between the cloud server and controller, while the system uses Docker container to simplify program integration. The results revealed the optimal standard deviation for tire pressure in hatchback vehicles to be 2.24, and for Multi-Purpose Vehicles (MPVs), it was 2.97. For tire temperature, the best standard deviation in hatchback vehicles was 1.93, compared to 1.05 in MPVs. This system effectively monitors tire pressure and temperature changes in real time, accessible remotely via smartphones and computers.

Real-time temperature field and thermal deformation of slab track on cable-stayed bridge

This study aimed to master the real-time temperature fields of slab tracks on cable-stayed bridges and analyze the thermal deformations. The pivotal heat conduction parameters of the geotextile and rubber pad were obtained through testing, and the governing equations for heat conduction considering temperature variations were improved. A thermal-fluid-solid coupling model for slab track on cable-stayed bridge was proposed. The results indicated that the high temperatures of the track were concentrated within 0.05 m depth of the slab. Under the resistance of the isolation layer, the temperature on both sides of the geotextile isolation layer appeared obvious abrupt change. The time of maximum and minimum temperatures of the truss beam were the same as those of the air. The effects of real-time temperature change on the irregularity of the rail were obvious. In summer, the maximum vertical rail deformation was 201.88 mm and the transverse deformation was 17.87 mm. The temperature change in just one day caused vertical deformation of rail with a range of more than 60%. On a single day in summer, the maximum horizontal irregularity was 1.74 mm, which was less than the 2.0 mm specified in the code.

A fiber-shaped temperature sensor composed of chitosan/rGO with high sensitivity and ultra-fast response and recovery for real-time temperature monitoring

Wearable sensors are the development trend in the future iteration of medical devices, in which, flexible temperature sensors with high resolution, fast response speed, and good reliability under deformations, are one of the much important devices. In this study, a nano multilayer sensing structured fiber temperature sensor is fabricated via in situ coating reduced graphene oxide (rGO) and chitosan (CS) on the surface of stretchable polyurethane fiber (PF) by a layer-by-layer self-assembly method. The introduction of CS not only enhances the temperature sensitivity (with a temperature coefficient of −1.379 %‧°C−1 in the range of 30–60 °C) of the rGO-based fiber sensors but also greatly increases the mechanical stability of the nanofibrous membrane. Most importantly, the fiber-shaped temperature sensor shows a fast response time (2.4 s) and recovery time (3.9 s) to temperature. Moreover, the sensor achieves a high temperature resolution of 0.1 °C. Made from a simple and low-cost process, the fiber-like devices can be easily integrated into items such as gloves or face masks to monitor the real-time temperature changes. The results demonstrate the great potential of rGO-based fiber sensors for applications in human healthcare monitoring.

Thermal Effects of 445nm Diode Laser-Irradiation on Titanium and Ceramic Implants.

Purpose This study aimed to evaluate temperature changes in titanium and ceramic implants after using a 445nm-diode laser under different in-vitro conditions. Methods A titanium (Ti) and ceramic (Zr) dental implant were placed into a bone analog, and an intra-bony defect was created at each implant. A 445nm-diode laser was used to irradiate the defects for 30 seconds, non-contact, at 2W in continuous wave (c.w.) and pulsed mode. The experiment was done at room temperature (21.0°C±1) and in a water bath (37.0°C±1). Two thermocouple probes were used to record real-time temperature changes (°C) at the coronal part of the implant (Tc) and the apex (Ta). The temperature was recorded at time 0s (To) and after 30s of irradiation (Tf). The average temperature change was calculated, and a descriptive analysis was conducted (p<0.05). Results The Ti implant resulted in the highest ∆T values coronally (29.6°C) and apically (6.7°C) using continuous wave at 21°C. The Zr implant increased to 26.4°C coronally and 5.2°C apically. In the water bath, the coronal portion of the Ti and Zr implants rose to 14.2°C and 14.01°C, respectively, using continuous waves. The ∆T values for Ti were 11.9°C coronally and 1.7°C apically when placed in a water bath using pulsed mode. The lowest ∆T occurred on the Zr implant with ∆Tc and ∆Ta, 4.8°C and 0.78°C, respectively. Conclusion Under in-vitro conditions, the 445nm-diode laser in pulsed mode seems to be safe for use on ceramic implants and should be used with caution on titanium implants.

Unusual microwave heating of water in reverse micellar solution

Microwaves (MWs) are widely used for heating food, accelerating chemical reactions, drying materials, therapies, and so on. Water molecules absorb MWs and produce heat because of their substantial electric dipole moments. Recently, increasing attention has been paid to accelerating various catalytic reactions in water-containing porous materials using MW irradiation. Here, a critical question is whether water in nanoscale pores generates heat in the same way as liquid water. Is it valid that MW-heating behaviors of nanoconfined water are estimated solely by a dielectric constant of liquid water? There are almost no studies regarding this question. Here, we address it using reverse micellar (RM) solutions. Reverse micelles are water-containing nanoscale cages formed by self-assembled surfactant molecules in oil. We measured real-time temperature changes of liquid samples within a waveguide under MW irradiation at 2.45 GHz and at MW intensities of ~ 3 to ~ 12 W/cm2. We found that the heat production and its rate per unit volume of water in the RM solution are about one order of magnitude larger than those of liquid water at all the MW intensities examined. This indicates that water spots that are much hotter than liquid water under MW irradiation at the same intensity, are formed in the RM solution. Our findings will give fundamental information to develop effective and energy-saving chemical reactions in nanoscale reactors with water under MW irradiation, and to study MW effects on various aqueous mediums with nanoconfined water. Furthermore, the RM solution will serve as a platform to study the impact of nanoconfined water on MW-assisted reactions.

Tool parameters to minimize temperature changes in bone drilling

Drilling is a common technique used in orthopedic surgery procedures but causes increases in temperature that can lead to cell damage and death. The extent of this depends largely on the magnitude of the increase in temperature. The commonly accepted limit to prevent osteonecrosis is less than 47°C for 60s. There is controversy when it comes to the optimal drilling parameters that limit temperature increases and cell death. In addition to this, less research has been done on the drilling effects in the osteochondral area of joints. Osteochondral tissue damage can interfere with the daily lives of patients and if severe enough will need to be treated. We hypothesize that increasing tool speed and drill bit size will increase temperature that could be above the osteonecrosis limit. Ex-vivo experiments were conducted on porcine shoulder joints that tested the thermal effects of different tool speeds and drill bit sizes. A thermal camera was used to record and measure real time temperature changes while drilling. Three drill bit sizes and five tool speeds were used. Statistical analyses includes Welch's ANOVA with Games-Howell Post Hoc analyses, multivariate linear regression, and surface response regression were used to explore the association of tool speeds and drill bit size on temperature. All the tool speed and drill bit size combinations lead to an increase in temperature that were under the commonly accepted limit. The highest temperature reached was 44°C with a tool speed of 1150 RPM and 3070 RPM and drill bit size 5.159mm. It was found that increasing the tool speed increased the temperature change and increasing the drill bit size increased the temperature change.

Multiscale Integrated Temperature/Flow Velocity Sensor Patches for Microfluidic Applications

Embedded sensors in microfluidic systems play a big role in different chemical and biological analyses. Versatile metal electrodes in microfluidic chips have been designed to detect the physical and chemical parameters of the fluid, but in situ monitoring by flexible and transparent embedded sensors still remains a significant challenge. Here, such a challenge is tackled for the first time, by simple fabrication of multiapplication sensing patches into a microfluidic chip. The sensing patches are made with polydimethylsiloxane (PDMS) and fluorescent dye. Different strategies of assembling sensing patches could be used to realize both local and dynamic sensing for multiscale detection. In Strategy 1, one sensing patch is utilized to measure the temperature of microheaters below 100 °C and its detecting resolution is 1.25 °C. In Strategy 2, four sensing patches are placed in four channels to monitor the real-time temperature change (23 °C–50 °C) in different microchannels. In Strategy 3, two sensing patches are fabricated in a microchannel, which has a high signal resolution to monitor the flow rate of 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">$10 ~\mu \text{L}$ </tex-math></inline-formula> /min. The simple fabrication process and different combinatorial strategies facilitate the development of miniaturization and functionalization of microfluidic sensors, so as to realize the monitoring of more parameters and play a significant role in the fields of biological and chemical analysis.

Flexible coaxial composite fiber based on carbon nanotube and thermochromic particles for multifunctional sensor and wearable electronics.

Fibrous sensors are of interest in the fields of human activity, health monitoring and human-computer interactions due to their ability to measure human activity signals such as temperature and pressure. Although many different structures and conductive materials exist for fibrous sensors, the design and fabrication of fibrous multifunctional sensors still pose significant challenges. Here, we have designed a fibrous multifunctional sensor based on a wet-spinning three-layer coaxial fiber that exhibits a GF value of up to 45.05 in the 10-80% strain range and a sensitivity of 5.926 kPa-1 in the 0.2-2.0 kPa pressure range, while the presence of thermochromic microcapsules allows the fibrous sensor to exhibit different colors at different temperatures: blue at 18 °C, purple at 40 °C and green at 60 °C. The multifunctional fibrous sensor can monitor human joint activity and environmental temperature changes in real time, and is easier to integrate into wearable fabrics due to its fiber shape, offering new possibilities for wearable health monitoring.

Implementation and Performance Analysis of Temperature and Humidity Monitoring System for Server Room Conditions on Lora-Based Networks

Abstract – A server room is a room used to store applications, data and network devices such as routers. The server room is the data center of a company or institution in which there are applications and databases that store all important and valuable information for the company or institution concerned, therefore the server room must always be in good temperature conditions because the devices work for 24 hours no stopping. If there is a significant increase in temperature, it can cause system performance to be disrupted or hardware damage occurs. The cooler in the server room is not optimal because the cooler is often constrained by frequent power outages. From these problems, a solution is needed to be able to monitor the system remotely so that changes in room temperature can be seen in real time. The Internet of Things (IoT) is the solution to this problem, by using LoRa, which then sends the data to the Telegram application that has been installed on the smartphone so that real-time temperature changes can be obtained

Study of the aluminum ablation features and spectral intensity at a various sample temperature in vacuum environment

For the LIBS in-situ wall-analysis in the tokamak devices, the detection is under a vacuum environment and the sample temperature changes in real time. The influence of the sample temperature (Ts) on the LIBS spectral intensity and ablation features could be paid much attention to ensure the LIBS analysis accuracy. In this study, an aluminum sample was chosen as a proxy of beryllium, which has been selected as the first wall in ITER device. A comparison was performed between the obtained emission in vacuum and in air whilst the sample was heated. The emission intensification as a function of Ts in vacuum is quite different from that in air at atmospheric pressure. To study the Ts on the intensification process in vacuum, plasma properties (temperature T, electron number density ne and plasma size) and laser ablation features (the ablated crater depth and volume) were investigated. The experimental results indicate that an increase in Ts leads to a significant enhancement in the spectral intensity of Al. The electron density ne of plasma increases with Ts, but the plasma temperature T almost does not change with Ts. Plasma plume images also remained nearly unchanged with Ts in the detecting time window. However, it was found that the laser ablated crater features (diameter, depth and volume) depend significantly on Ts. Increasing Ts results in a larger and deeper ablation crater and a higher ridge around the crater for the same laser fluence. Net ablated mass also increases with increasing Ts. The results should be helpful to improve the accuracy of the LIBS analysis for the first wall composition in the tokamaks such as EAST and ITER.

Development of a Wireless Wearable Body Temperature Measurement System Based on NTC

Body temperature is an important physiological parameter of the human body and is used in medicine to reflect the physiological state and health status of the human body. At present, the commonly used clinical thermometers on the market are mainly divided into contact and non-contact types. Most of them are used for rapid body temperature measurement, and it is not easy to monitor body temperature changes in real time. This article introduces a new wearable wireless body temperature monitoring system based on NTC, which senses through NTC. The temperature changes are amplified and filtered, zeroed, and calibrated, and then the temperature data is uploaded to the mobile phone APP via Bluetooth in real time to achieve real-time accurate measurement of body temperature.

In vivo real‐time temperature measurement on the surface of intact and gold‐restored teeth during consumption of hot and cold drinks

This study aimed to measure real-time temperature changes in gold-restored teeth compared with intact teeth during the intake of hot and cold drinks. Sixteen molars, including eight natural intact teeth and eight restored teeth with gold inlays, were selected from the participants. Custom-made thermocouple sensors were attached to the coronal third of the buccal surface of teeth. Participants consecutively consumed hot and cold drinks according to a standardized regimen. Resting, maximum, and minimum temperatures; time to reach peak temperatures; and heating and cooling velocities were obtained. Statistical analysis was performed using independent two-sample t-test. Teeth with gold restorations showed a significantly higher maximum temperature (44.7°C [SD 2.9]) than did natural teeth (40.5°C [SD 1.2]) during hot water drinking and showed a lower minimum temperature (25.0°C [SD 4.9]) than did natural teeth (31.5°C [SD 3.1]) during cold water drinking. The heating and cooling rates for the teeth with gold restorations were two and three times higher than those of the natural teeth. Gold-restored teeth showed greater temperature change than intact teeth in terms of magnitude and velocity in response to temperature changes induced by hot and cold drinks.

Energy-saving performance of respiration-type double-layer glass curtain wall system in different climate zones of China: Experiment and simulation

The development of energy-saving technologies for buildings is an important means of achieving carbon neutrality. The respiration-type double-layer glass curtain wall (RDGCW) is a kind of enclosure structure with natural air circulation and a shading function. The RDGCW provides energy saving, and it is being widely promoted and used in China. However, there is still a lack of relevant research on the energy-saving effects and operating strategies of the RDGCW throughout the year. In response, this paper describes experimental evaluation and numerical simulation. First, the energy-saving effects in an office building using an RDGCW in Tianjin during the winter were studied experimentally, and the real-time temperature changes in the RDGCW and the room were measured with high accuracy under different operating strategies. Second, because the temperature distribution and energy consumption in a room is affected by the air flow in the RDGCW and by outdoor meteorological parameters in a complex manner, this investigation developed a coupled model on the basis of TRNSYS and CONTAM. The simulation results were in good agreement with the experimental results. Third, the verified model was used to evaluate the annual energy-saving effects of the RDGCW under dynamic outdoor meteorological conditions in Tianjin. When the optimal operating strategy was adopted, the energy-saving effect of the RDGCW in comparison with single skin façade (SSF) reached 32.8% under summer conditions and 38.3% under winter conditions. Finally, the RDGCW system in typical cities (Changchun, Shanghai, Guangzhou, Kunming and Tianjin) in five climate zones in China was simulated for the whole year. Under the optimal strategy, the RDGCW achieved good energy-saving effects. The energy saving was 27.7–49.2% in summer and 25.6–46% in winter, in comparison with SSF.

Multisensory stimulation

Multisensory stimulation

A Magnetocatalytic Propelled Cobalt–Platinum@Graphene Navigator for Enhanced Tumor Penetration and Theranostics

A Magnetocatalytic Propelled Cobalt–Platinum@Graphene Navigator for Enhanced Tumor Penetration and Theranostics