Background Procrastination describes irrational delays of scheduled tasks despite clear awareness of adverse consequences to do so. Although procrastination is well-known to be linked to psychiatric or pathological processes, insights into why procrastination may contribute to psychopathological outcomes has not been fully explored. The aim of the current study was to identify the criterion for “pathological procrastination” and its preclinical correlates. Methods This is a longitudinal and prospective observational study with a five-year interval. Participants ( N = 464) completed measures of trait procrastination in November 2018, with a follow-up conducted in March 2023 ( N = 267) to collect preclinical psychiatric symptoms via self-reported measures. A constrained multivariate direct gradient model (cmDGM) was built to prospectively fit procrastination to the preclinical psychiatric symptomatology that formulated by DSM-5 framework. The 2-stage psychopathological connectome model was further constructed to constitute a “diagnostic criterion” reflecting “pathological procrastination”. Results Procrastination prospectively predicted severe preclinical psychiatric symptoms and unhealthy lifestyles. Preclinical bridge hubs of “failure to self-regulate delays”, “failure to control adverse consequences”, “useless to self-change”, “out-of-control irruptions”, “poor sleep quality” and “negative emotional reactions” were captured for highly local and global disruptions in the psychopathological network of procrastination, and thus constituted the 9-item pathological procrastination diagnostic criterion (3PDC) with good diagnostic performance (AUC = 0.82, p <.01). Conclusions The present study revealed the predictive rol of procrastination for preclinical psychiatric symptomatology, and further established the preclinical 3PDC to lay the foundation for the “diagnostics of pathological procrastinators” by both quantitative measurements and DSM-structured binary schemes.

We newly developed a hybrid protein, tentatively named human MIKO-1 (hM1), based on the amino acid sequences of human S100A8 (hS100A8) and hS100A9. Human macrophage-like cells (hMΦ), which were differentiated from THP-1 cells by phorbol 12-myristate 13-acetate, were used to investigate the immune function of hM1 and its dynamic mobility in cells. Western blotting was conducted to detect hM1 in the cytoplasm and nucleus of hMΦ. A polymerase chain reaction (PCR) and quantitative PCR were performed to examine changes in the mRNA levels of proinflammatory cytokines in hMΦ. Fluorescent immunochemical staining was conducted to microscopically observe the intracellular behavior of hM1 in hMΦ, together with hS100A8 and/or hS100A9. Microscopic observations showed that hM1 rapidly bound to activated hMΦ and immediately migrated even inside the nucleus of these cells. The intracellular localization of hM1 in hMΦ almost coincided with that of hS100A8, suggesting the close involvement of hS100A8 in the intracellular behavior of hM1 in hMΦ. The mRNA expression of each proinflammatory cytokine was significantly suppressed in hMΦ preliminarily treated with hM1 despite a subsequent stimulation with lipopolysaccharide. Significant decreases in the mRNA levels of proinflammatory cytokines in hMΦ strongly suggest the potential of hM1 as a negative regulator of inflammation. hM1 may land on a special site on the DNA chain, such as the NF-κB motif, in the nucleus to directly inhibit the mRNA expression of proinflammatory cytokines. In conclusion, hM1 is a prominent player that significantly attenuates the cytokine storm caused by excessively activated hMΦ.

A document by Lukas Kugler. Click on the document to view its contents.

The Madden–Julian Oscillation (MJO) exerts a downscale influence on the diurnal cycle (DC) of precipitation over the Maritime Continent (MC). We assess the characteristics of this downscale influence in GPM-IMERG data across the western MC, comparing the MJO cycles of daily-mean precipitation, DC amplitude, DC timing and additional diurnal characteristics. During a typical MJO event, islands and surrounding waters experience their greatest DC amplitude 2–4 days ahead of their greatest daily-mean precipitation. The MJO has a greater influence on daily-mean precipitation over water and on DC amplitude over land. Greatest DC amplitude over land leads greatest DC amplitude over surrounding waters by 3–6 days. DC timing varies systematically by MJO phase in most locations, particularly eastern Sumatra, eastern Borneo and the eastern Makassar Strait where the diurnal maximum may systematically vary in timing by over four hours. Over these regions, the diurnal maximum propagates westward before, and eastward after, the active MJO crosses the western MC. As the active MJO crosses, the diurnal maximum gets earlier across western land on large islands, and later across eastern land, creating a west–east regime divide in DC timing variability. Additional diurnal characteristics quantify further changes in the nature of the diurnal oscillation. MJO-induced changes in the diurnal timing of convective cloud cover may influence local radiation budgets. These results provide a detailed benchmark for the modulation of the DC by the MJO against which this scale interaction in models may be assessed.

Note: In the construction of electrochemical nano-biosensors, the minimum parts used in a biosensor are: layer recognition molecular and signal transducer that can transmit this signal to a device (device readout). Are connected.DNA is usually a good tool as a biosensor because the base-pairing reaction between complementary play sequences is both specific and stable. In this case, the single-stranded probe DNA is immobilized on the detection layer and then reacts with the probe on the surface by pairing the target DNA. The duplication and uniqueness of DNA structures determines their accumulation on the surface. It is on  this surface that the target DNA is captured and a signal is generated. Therefore, immobilizing the nucleic acid of the probe  while maintaining its initial adhesion strength is important for detecting target DNA. But how this diagnostic procedure  is measured depends on the method of the transduction signal, which may be optical, mechanical, or  electrochemical.Optical biosensors based on fluorescent light have features. These types of biosensors are sensitive to molecules per square centimeter. They are made up of rows that are که so that their detection limit is made up of almost  thousands of probes. Because the tools in this field (fluorescence biosensor) are complex and expensive . Gene chips technology is more suitable for laboratory work. Gene chips are appropriate in cases where a lot of work needs  to be done at the same time, such as profiling transcriptional examination or discovery of single nucleotide polymorphism, but clinical diagnoses usually require the collection of this large amount of data. What is important for molecular detection is capability Ensure recognition as well as generality regardless of the order of the game. Therefore, gene chips are not preferred for clinical diagnosis for  reasons such as: they are expensive and the device is complex. Also, for other specific reasons, reading accuracy is  reduced. Another method for measuring the signal optically is the Resonance Plamon Surface method. In this method, the refractive index of a thin metal film substrate is changed, which is due to the adsorption of  analyte and is suitable for detecting the target in cases where the house is a groove groove. Because  in this way we can achieve the target molecule where the detection limit, causing the signal to the hybridization signal  strengthened. This can be done by increasing the amount of material that is on the surface of the film before or after attaching toIncreased target DNA. The resonant Plus surface method (SPR) is similar to the expensive and complex fluorescence method, which is why it is so expensive and complex that it is used more for research than for routine diagnostic work  ; One method of measuring the signal by light, which is very clear, is the light reading method, in which single-stranded DNAs  are labeled with gold nanoparticles, which easily change color due to hybridization in the order of the target game . Using silver staining, DNA analysis can be performed with this optical method on very small plates with high sensitivity  . Although the use of gold nanoparticles may be expensive, but this method has the necessary sensitivity and simplicity for clinical diagnoses.

Note: Examining the band gap structure of nanoelectronic devices, in addition to introducing a method for researching the performance of one-dimensional systems, has made it possible to improve the electrical-optical properties of electronic components.Devices based on organic materials can be mechanically flexible to a large extent because of the loose intermolecular bonds in the nano-electrons created from them. Unlike these organic materials, minerals such as silicon, germanium, and gallium arsenide can be used in the structure of electronic devices only in crystalline states, and in this case, covalent bonds make flexibility impossible in them. Makes. Properties such as strength, flexibility, electrical conductivity, magnetic properties, color, reactivity, etc. Starting to change the properties of the material by shrinking it depends more than anything on the type of material and the desired property. For example, by reducing the dimensions of a material, generally some mechanical properties of the material such as strength are improved. This increase in strength does not happen only in the range of a few nanometers, and the strength of materials of several tens and even hundreds of nanometers may be much higher than the large-scale mass material. On the other hand, the change of some properties such as color and magnetic properties may occur in dimensions of only a few nanometers.

Note: Signal measurement Electrochemical methods are very suitable for detecting direct DNA oxidation because electrochemical reactions directly generate  electronic signals and therefore do not require expensive converters.In addition, in this process, because the order of the immobilized game  can be limited to only a series of electrode substrates, the act of tracking is performed by a series of inexpensive electrochemical analyzes. Electrochemical sensors are used to perform clinical or environmental tests;  The basis of the sensitivity of electrochemical signals to direct oxidation or interval catalysis of DNA is also based on the reduction reactions of reporter molecules or enzymes. Various methods are used to measure the  signal electrochemically. The basis of signal measurement in direct DNA electrochemistry is based on the oxidation reaction and DNA reduction in a mercury electrode, so the amount of oxidized and reduced DNA is proportional to the amount of DNA that is hybridized with the probe. In addition to the old methods of direct DNA reduction, a method called Stripping Adsorption Voltammetry is used for direct oxidation of DNA, which is a very sensitive method. In the direct electrochemical method, purine is oxidized by materials such as carbon, indiomethin oxide (ITO), gold, and polymer-coated electrodes. Although the direct electrochemical method is a very sensitive method, its application is complex because  for direct oxidation of DNA, a high potential ground current is required. Advanced mathematical and numerical methods are also  needed to measure each signal. Of course, new methods have been designed to eliminate the interference that occurs in the field with the help  of physical methods.

Water resources planning depends upon hydrologic models to estimate flows and storage under candidate engineering designs. However, such models are calibrated with limited flow data relative to the many model parameters. This may result in different equifinal parameterizations that imply different optimal designs. To assess if and how this uncertainty should be considered, we compare three methods for multi-objective optimization of green infrastructure (GI): one that designs to the most likely parameterization and two robust alternatives that use several likely parameterizations with 1) likelihood-weighted objective functions, and 2) min-max objective functions. To evaluate these methods, we set synthetic true values for model parameters, use them to simulate "observed" streamflow, and then use Bayesian calibration to estimate parametric uncertainty. We compare results from optimization to the synthetic parameterization against the three alternatives. The GI optimizations aim to minimize flooding, low flow intensification, and cost. We find the two robust methods provide objective values and decisions that are closer to those optimized to the synthetic

Gerardo M. Navaa and Luis Alberto Madrigal-Perezb*a Universidad Autónoma de Querétaro, Cerro de las Campanas, Santiago de Querétaro, Qro, 76010, México.b Tecnológico Nacional de México/ ITS de Ciudad Hidalgo, Av. Ing. Carlos Rojas Gutiérrez #2120, Ciudad Hidalgo, Michoacán, 61100, México.

Climate change is projected to increase the intensity and frequency of extremes in river basins around the world. Water infrastructure such as reservoirs are often used to buffer against these extremes, enabling more reliable water supply for human uses like irrigation. Yet this can have negative impacts on the system's ecological flows. In designing water infrastructure for human adaptation to climate change, it is important to consider whether the infrastructure is mitigating or exacerbating climate change impacts on ecological systems. Prior work has found that dams mitigate long-duration extremes but exacerbate short-duration extremes. In this study, we investigate whether reservoir operations can be designed to also yield beneficial climate adaptation outcomes for short-duration high and low flow extremes while still improving average socioeconomic and ecological objectives compared to uncontrolled conditions. We explore this research question

Note: Different parts of the microcontroller are each intended for a specific application. An electronic designer uses different parts according to his needs in the project. For this purpose, it is enough to activate the required settings in the desired section. By choosing a suitable microcontroller, we can implement simple electronic projects by saving the number of digital ICs. The advantage of this method is the high speed of the circuit and its cost-effectiveness.This microcontroller is available in three types of packages. Its two models are SMD type and its simple type with two rows packaging (DIP). The DIP type microcontroller is better placed on the board. This type of microcontroller ICs are used more often. A microcontroller is a programmable device. It means that the work method can be defined according to the need for this part in  the form of a program. In order to be able to define the idea and method of work execution for the microcontroller in such a way  that it can execute the work process accurately. This compact microcomputer (microcontroller) consists of the following different parts.

Holotomography (HT) is a cutting-edge fast live-cell quantitative label-free imaging technique. Based on the principle of quantitative phase imaging, it combines holography and tomography to record a three-dimensional map of the refractive index, used as intrinsic optical and quantitative imaging contrast parameter of biological samples, at a sub-micrometer spatial resolution. In this study HT has been employed for the first time to analyze the changes of fibroblasts differentiating towards myofibroblasts - recognized as the main cell player of fibrosis - when cultured in vitro with the pro-fibrotic factor, namely transforming growth factor -β1. In parallel, F-actin, vinculin, α-smooth muscle actin, phospho-myosin light chain 2, type-1 collagen, peroxisome proliferator-activated receptor-gamma coactivator-1α expression and mitochondria were evaluated by confocal laser scanning microscopy. Plasmamembrane passive properties and transient receptor potential canonical channels’ currents were also recorded by whole-cell patch-clamp. The fluorescence images and electrophysiological results have been compared to the data obtained by HT and their congruence has been discussed. HT turned out to be a valid approach to morphologically distinguish fibroblasts from well differentiated myofibroblasts while obtaining objective measures concerning volume, surface area, projection area, surface index and dry mass (i.e. the mass of the non-aqueous content inside the cell including proteins and subcellular organelles) of the entire cell, nuclei and nucleoli with the major advantage to monitor outer and inner features in living cells in a non-invasive, rapid and label-free approach. HT might open up new research opportunities in the field of fibrotic diseases.

Note: In nanoelectronic industries; Nano chip, increasing the speed of nano transistors, both types of diamonds, i.e. n and p type stones, are used for nanoelectronic applications in microelectronics. By adding "B" metal impurity to diamond, P type nano diamond can be made. That is, he produced blue diamonds and by adding phosphorus to colorless diamonds, he also produced n-type diamonds.Nowadays, many semiconductors such as silicon are used in a wide range of nanoelectronic devices. However, due to the range of thermal changes and its extremely high speed, nano diamond is only compared to gold nanoparticles, which is the second best nano semiconductor in the world. Nano graphite and graphene nano strips are electrically conductive due to cloud scattering. Active nano diamond particles with such features, especially electronic ones, can be the foundation of completely new types of powerful nano electronic devices.

Note: Nano-telecommunications includes electronic devices and devices  , one of the dimensions of which is about one to several hundred nanometers. Accordingly  , if the antennas used in nano-components are to be in this  range, we should expect the electromagnetic waves used in  the communication of these systems and devices to be around tens of terahertz, which will  include the wavelengths of infrared, visible and ultraviolet. .The antenna is considered as the primary means of absorbing electromagnetic waves in space and has its own engineering knowledge, which is very developed and extensive. In general, in order to receive the electromagnetic wave in space, the dimensions of the antenna must be in the order of the size of the input wavelength to its surface. Due to the very low dimensions of nano-sensors, nano-antennas need a very high operating frequency to be usable. The use of graphene greatly helps to solve this problem. Wave propagation velocities in CNTs and GNRs can be up to 100 times slower than vacuum velocities, depending on the physical structure, temperature and energy. Accordingly, the resonant frequency of graphene-based nano-antennas can be twice as low as (nano-carbon) nano-antennas.

Microorganisms are essential associates for virtually all arthropod species. Insect-associated microbes can improve the fitness of their host, be pathogens, or have no known role. During the past decade, we have increased our collective knowledge of the composition of insect-associated microbes along with the range of roles that these symbionts perform. Increases in knowledge are partly due to the continued advancements in genomic sequencing technologies. This understanding of individual microbe contributions and advancements in sequencing have allowed for a shift towards examining the complexity of microbial communities, as well as how these communities vary with different factors (e.g., microbe and/or host genetics, environment). We provide an overview of arthropod-symbiont interactions, the variety of symbiont functionalities, and the evolutionary ecology of these relationships. Additionally, we explored the influence of the environment on the modulation of insect-microbe interactions, the projected impacts of climate change, and the subsequent consequences on these ecological interactions. Lastly, we discuss some potential avenues for the future of arthropod-microbe interactions that include the modification of existing microbial symbionts as well as the construction of synthetic microbial communities. Our aim was to condense the current knowledge on insect-associated microbes and microbial communities while discussing research gaps and challenges for possible future directions.

Dispersal is a fundamental life history trait that has profound effect on both the genetics and evolution of species, and sex-biased dispersal is pervasive in vertebrates. Losea vole (Rattus losea) belongs to the family Muridae and is one of the dominant rodents in Zhoushan archipelago, China. In this study, we genotyped 168 samples including 74 males and 94 females R. losea, live-captured from five neighboring islands during breeding seasons. Based on eight highly polymorphic autosomal microsatellite markers analyzed, we found that the island populations of R. losea maintained a large amount of genetic diversity, along with low to moderate levels of genetic variation, extensive gene flow and declining inbreeding. The Bayesian clustering divided the populations into three distinct genetic clusters. Analyses of sex-biased dispersal conducted over the total R. losea individuals presented that Fst, Fis, mAIc and r in females were higher than those in males, and conversely vAIc in females was lower than males, which all suggested a male-biased dispersal pattern in R. losea populations. This dispersal pattern could be presumably motivated by the potential purposes of alleviating mate competition and avoiding inbreeding. In general, the study provides strong genetic evidence for male-biased dispersal of R. losea in Zhoushan archipelago, which has practical implications for understanding behavioral strategies for the adaptive evolution of island species in fine-scale populations and developing control methods for rodents in island ecosystems.

1. Introduction Ongoing climate change poses an increasing threat to biodiversity. To avoid decline or extinction, species need to either adjust or adapt to new environmental conditions or track their climatic niches across space. In sessile organisms such as plants, phenotypic plasticity can help maintain fitness in variable and even novel environmental conditions and is therefore likely to play an important role in allowing them to survive climate change, particularly in the short term. Understanding a species’ response to rising temperature is crucial for planning well-targeted and cost-effective conservation measures. 2. Methods We sampled seeds of three Hypericum species (H. maculatum, H. montanum, and H. perforatum), from a total of 23 populations originating from different parts of their native distribution areas in Europe. We grew them under four different temperature regimes in a greenhouse to simulate current and predicted future climatic conditions in the distribution areas. We measured flowering start, flower count, and subsequent seed weight, allowing us to study variations in the thermal plasticity of flowering phenology and its relation to fitness. 3. Results Our results show that individuals flowered earlier with increasing temperature, while the degree of phenological plasticity varied among species. More specifically, the plasticity of H. maculatum varied depending on population origin, with individuals from the leading range edge being less plastic. Importantly, we show a positive relationship between higher plasticity and increased flower production, indicating adaptive phenological plasticity. 4. Synthesis The observed connection between plasticity and fitness supports the idea that plasticity itself may be adaptive. This study underlines the need for information on plasticity for predicting species’ potential to thrive under global change and the need for studies on whether higher phenotypic plasticity is currently being selected for as natural populations experience a rapidly changing climate.

Note: In the construction of nano bio-electrochemical sensors, the minimum parts that are used in a biosensor are: the molecular recognition layer and the signal transducer, which can read out this signal to a measuring device. be connected.DNA is usually a suitable tool as a biosensor because the base pairing reaction between complementary sequences is both specific and stable. In this case, single-stranded probe DNA is immobilized on the detection layer, and then the target DNA reacts with the probe on the surface by pairing. The repetitiveness and unity of DNA structures makes their accumulation on the surface very specific. It is on  this surface that the target DNA is taken and the signal is generated. Therefore, it is important to immobilize the probe nucleic acid while  maintaining its initial adhesion strength for the detection of the target DNA. But how this  diagnostic process is measured depends on the method of signal transduction, which may  be optical, mechanical, or electrochemical.

A document by Boukari NIAMPA. Click on the document to view its contents.

Brain surgery is a widely practised and effective treatment for brain tumours. However, neurosurgeons face the significant challenge of precisely identifying tumour boundaries to maximise resection and avoid damaging normal tissue, which could cause neurological complications for patients. Accurate classification and categorisation of cancers are crucial for subsequent prognosis and treatment planning. Hyperspectral (HS) imaging (HSI) is an emerging multidimensional optical imaging method that captures detailed spectral information across multiple wavelengths, allowing for the identification of nuanced differences in tissue composition, with the potential to enhance intraoperative tissue classification. The primary challenge in HSI is processing multidimensional data and managing redundancy. Effective spectral-spatial feature extraction is crucial for HSI classification. However, current frameworks often require retraining models for each HSI to extract meaningful features, resulting in long processing times and high computational costs. Additionally, most methods utilise the deep semantic features at the end of the network for classification, ignoring the spatial details contained in the shallow features. To overcome these challenges, we propose a novel approach called MedDiffHSI, which combines diffusion and transformer techniques. Our method involves training an unsupervised learning framework based on the diffusion model to extract high-level and low-level spectral-spatial features from HSI. This approach eliminates the need for retraining of spectral-spatial feature learning model, thereby reducing time complexity. We then extract intermediate multistage features from different timestamps for classification using a pre-trained denoising U-Net. To fully explore and exploit the rich contextual semantics and textual information hidden in the extracted diffusion feature, we utilise a spectral-spatial attention module. This module not only learns multistage information about features at different depths, but also extracts and enhances effective information from them. Finally, we employ a supervised transformer-based classifier with weighted majority voting (WMV) to perform the HSI classification. To validate our approach, we conduct comprehensive experiments on in-vivo brain database datasets and also extend the analysis to include additional HSI datasets for breast cancer to evaluate the framework performance across different types of tissue. The results demonstrate that our framework outperforms existing approaches by using minimal training samples (5%) while achieving state-of-the-art performance.

The Diabetes Prevention Program trial compared metformin, lifestyle modification and placebo (the latter, as with metformin, including basic lifestyle advice). Both metformin and lifestyle alternatives reduced diabetes versus placebo. A published cost-effectiveness analysis (CEA) of the DPP as if it were implemented in Singapore concluded that both metformin and lifestyle were cost-effective. The original work miscalculated the key metric in economic evaluations – the Incremental Cost-Effectiveness Ratio (ICER) - by comparing metformin and lifestyle each to a common alternative (here, placebo), a violation of long-established economic methods. We revisited that analysis, using the identical data, but with appropriate methods, to calculate appropriate ICERs. We showed that with correctly calculated ICERs, metformin was not even technically efficient and thereby incapable of being the more-restrictive economically efficient (cost-effective) treatment. These data show that only lifestyle was cost-effective. We also expanded the analysis, using three additional methods (Incremental Cost-Effectiveness Plane, Net Monetary Benefits and Net Loss Curves). These methods confirm the results from the correct ICERs. Had any of these been used in the original CEA, errors may have been identified by the authors. Importantly, our Net Loss calculations also show that there may be significant health and cost consequences to patients in a system that may have implemented policy based on the error that incorrectly implied metformin’s cost-effectiveness. Policymakers may easily be misled by peer-reviewed published economic evaluations that fail to follow appropriate economic methods and lead them to implement policies that are harmful and costly relative to using cost-effective treatments.

Objective It is often recommended that, in children with bilateral epistaxis, only one side of the nasal septum should be cauterised at a time in order to reduce the risk of septal perforation. This advice may have been reasonable when hot wire electrocautery was in common use. The risk of septal perforation after silver nitrate cautery is unknown but probably low. Methods Retrospective casenote review of children attending the nurse-led epistaxis clinic between 2019 and 2022. Results Nine hundred and twenty children were seen in the nurse-led clinic between January 2019 and December 2022. Six hundred and one children (79%) underwent nasal cautery. Simultaneous bilateral nasal cautery was carried out in 176 (29%) children. Our follow up period ranged between 303 days and 1,744 days, with a median of 809.5 days. No child presented to emergency or ENT services with septal perforation or any other complication of simultaneous bilateral nasal cautery. Conclusion To the author’s knowledge, this is the largest study assessing the safety of simultaneous bilateral nasal cautery with silver nitrate in children. No adverse results have been found after cauterising both sides of the septum at the same sitting, and doing so potentially saves time and money for patients and the health service.

The concept of sustainable production necessitates the utilization of waste and by-products as raw materials, the implementation of biotechnological processes, and the introduction of automated real-time monitoring for efficient use of resources. One example is the biocatalyzed conversion of the reusable by-product glycerin by acetic acid bacteria to dihydroxyacetone (DHA), which is of great importance to the cosmetic industry. The application of compact spectrometers enables the rapid measurement of samples while simultaneously reducing the consumption of resources and energy. Yet, this approach requires comprehensive data preprocessing and, on occasion, multivariate data analysis. For the process monitoring of the production of DHA, a low-field 1H nuclear magnetic resonance (NMR) spectrometer was implemented in on-line mode. Small-volume samples were taken from a bypass and transferred to the spectrometer by an autosampler. Complete analysis within minutes allowed real-time process control. To this purpose, reliable automated spectral preprocessing preceded the creation of a univariate model. The model enabled the acquisition of process knowledge from chemical kinetics and facilitated the tracking of both substrate and product concentrations, requiring independent calibration. As a second multivariate approach, principal component analysis was utilized to monitor the process in a semi-quantitative manner without the necessity for calibration. The results of this study are beneficial for real-time monitoring applications with the objective of exerting control over the process in question, while minimizing expenditure.

This research is a magnetic resonance wireless charging system and focuses on the design of bidirectional power and data feedback using Binary Phase-Shift Keying (BPSK) technology. The system is designed to achieve two-way power transmission and data feedback simultaneously without additional wireless communication modules such as Wi-Fi, Bluetooth, ZigBee, etc. It can also simultaneously receive charging or discharging information from the secondary side or primary fed back to meet the modern electric vehicle charging and discharging to load (Vehicle to Load, V2L) function.