Deviation Of Rate Research Articles

Deviating HER2 test results in gastric cancer: analysis from the prospective multicenter VARIANZ study

PurposeThe prospective multicenter VARIANZ study aimed to identify resistance biomarkers for HER2-targeted treatment in advanced gastric and esophago-gastric junction cancer (GC, EGJC). HER2 test deviations were found in 90 (22.3%) of 404 cases (central versus local testing) and were associated with negative impact on survival for trastuzumab-treated patients. Here, we investigated methodological and biological variables that may promote deviating HER2 test results.MethodsWe analyzed HER2 testing procedures and participation in quality assurance programs of 105 participating local pathology laboratories. Furthermore, tumor localization and histological subtypes were compared between patients with centrally confirmed (central HER2 + /local HER2 + , n = 68) and unconfirmed HER2 status (central HER2 −/local HER2 + , n = 68).ResultsFor central HER2 testing, concordance between in situ hybridization (ISH) and immunohistochemistry (IHC) was 98.3%, with IHC sensitivity of 93.3% (84 IHC + of 90 ISH +), specificity of 99.5% (389 IHC- of 391 ISH-), and a positive diagnosis rate of 97.7%. Central confirmation of the local HER2 IHC scores were seen for the majority of locally HER2- IHC 0/1 (172/178; 96.6%), but less frequently for locally IHC3 + (57/124; 46.0%) cases. Deviation rate was not associated with IHC antibody platform used in the local pathology institute neither with participation in quality-assuring tests. Regarding tumor characteristics, deviating test results were more frequently found in GC vs. EGJC (69.1% vs. 39.7%; p = 0.001) and in Laurén diffuse vs. intestinal subtype (23.5% vs. 5.9%, p = 0.004).ConclusionTumor localization and histological subtype have an impact on HER2 test deviation rates. Assessment of HER2 remains challenging for GC and EGJC.

Spectrophotometric determination of Mesalazine by formation of copling with reagent

A simple, developed, fast and accurate spectrophotometric method for determination of Mesalazine (MSL) in its pure form and pharmaceutical preparation (Pentasa). This method was based on the formation of complex between MSL and the reagent 2,6-Dichloro indophenol sodium (DIS) to give a red color product that gives ats highest absorption at the wavelength of 520 nm. The best conditions for complex formation were found (time, temperature, optimal reagent concentration, pH). The linearity of the method for the complex consisting ranged from 5-30 µg/ml, the Sandell's index was 0.0354µg/cm2, the molar absorption coefficient was 4318.40L/mol.cm and the detection limit was 0.252µg /ml , the quantitative limit was 0.766 µg/ml , the percent recovery range was Rec% between (98.900-101.715)% and the relative standard deviation rate RSD% between (0.00306- 0.00696)%. It was found that the method was accurate and precision and has been successfully applied to estimate the MSL in its pharmaceutical preparation, in direct methods and in multi standard additions.

HIPA: A hybrid load balancing method in SSDs for improved parallelism performance

NAND Flash-based SSDs have been widely adopted as underlying storage devices in storage systems thanks to high random performance in the SSDs. Because of inherent rich parallelism resources (channel, chip, plane, and die) inside an SSD, many researchers pay much attention on parallelism improvement. Page allocation policies (static and dynamic page allocation) in an SSD aim to translate logical addresses of I/O requests on the host into physical addresses in flash memory space. Existing static page allocation policies suffer from severe load unbalance inside SSDs. Dynamic allocation policies employed in high-performance SSDs address the load balancing issue. However, dynamic allocation-based I/O requests flow into fewer parallelism resources, deteriorating read I/O-requests parallelism. Recognizing that SSD performance can be optimized by reducing read parallelism loss, we propose a hybrid page allocation strategy named HIPA to fully exploit the advantages of dynamic and static allocation to achieve read/write parallelisms inside an SSD. HIPA embraces a load prediction mechanism to monitor die-level load in real-time, thereby determining a page allocation policy based on the status of die-level load. A static page allocation policy is triggered in case of balanced die-level load. When performance degrades due to imbalance in die-level load, HIPA dynamically changes the gear to a dynamic allocation policy, aiming to balance the load on dies. Thus, HIPA achieves the maximum read parallelism rather than crumbling write performance. Conducting the extensive experiments, we validate the advantages of HIPA in terms of average response time, plane-level write, and erase standard deviation. The findings unveil that compared with the four popular page allocation policies (CWDP, CHIP-D, DIE-D, and PLANE-D), HIPA slashes the average response time by up to 58% with an average of 20% and 81% with an average of 33% compared with the dynamic allocation (DIE-D) with the lowest response time and the static strategy, respectively; (2) drives up the write standard deviation degree of the static strategy by up to 44%; (3) improves erase standard deviation rate by up to 43%.

Robotics is useful for less-experienced surgeons in spinal deformity surgery.

To verify whether robotics was useful for surgeons who had less experience with spinal deformity surgery. A retrospective review was conducted of 70 consecutive patients who underwent robotic-assisted pedicle screw placements with open procedures using a spine robotic system (Mazor X Stealth Edition) at a single institution from April 2021 to April 2022. Gertzbein-Robbins grades were used to assess the deviation of the 599 pedicle screws in the postoperative CT images. The rate of Grade A was considered the perfect accuracy rate, and the rate of Grades C, D, and E was calculated as the deviation rate. The perfect accuracy rate and deviation rate were compared between the spinal deformity and the non-deformity groups. The perfect accuracy rate, deviation rate, and screw insertion time were compared in the spinal deformity cases between the expert surgeon group and the less-experienced surgeon group. The deviation rate of the spinal deformity group was higher than that of the non-deformity group even though there was no statistically significant difference (spinal deformity group: 2.3%, non-deformity group: 1.2%, p = 0.350). In the spinal deformity cases, there was no significant difference in the perfect accuracy rate between the expert surgeon group and the less-experienced surgeon group, but the deviation rate was significantly lower in the less-experienced surgeon group (expert surgeon group: 5.0%, less-experienced surgeon group: 0%, p = 0.008). The screw insertion time was significantly shorter in the less-experienced surgeon group. Robotics is particularly useful for surgeons with less experience in spinal deformity surgery.

Research on Fuzzy Control System of Intelligent Irrigation Based on Soil Moisture

Smart irrigation for sustainable agricultural water supply has been a critical initiative. In this paper, a fuzzy control system is designed to realize intelligent and precise irrigation by combining fuzzy control with traditional feedback control based on the features that soil moisture has significant influence and ease of detection and adjustment in practical irrigation. The opening time of solenoid valve is decided by the control system in real time, and the deviation and deviation rate of change for soil moisture are regarded as input variables. The model of intelligent irrigation fuzzy control system is built and compared with the model of PID control by Simulink for simulation. The results show that the fuzzy control system operates stably and achieves real-time precise irrigation with faster response and stronger robustness. The issue of reduced accuracy in irrigation due to the coupling between human and environmental factors is effectively solved by this design.

Finite difference solver for simulating leaching process in bounded porous media: Development and application

This work, for the first time, developed an unconditionally stable, implicit numerical solution of a one-sided spatial fractional advection-dispersion equation (s-FADE) on a bounded domain to model contaminant transport through porous media during a leaching process. We used the zero-value Robin and Neumann conditions with a fractional-order derivative as the inlet and outlet boundaries, respectively, and a constant initial concentration of the contaminant in the whole domain as an initial condition. By conducting numerical analyses, we found that there is a good agreement between the results of the numerical solution and of its analytical counterpart, validating the accuracy of the numerical solution. In the case of the α variations meaningfully altered the heterogeneity degree of the porous medium, these variations significantly affected the results of the numerical solution, especially at intermediate times. Contrary to the α parameter, the numerical solution was insensitive to the spatial node number. The noisy observational data led to the maximum uncertainty in the estimated fractional dispersion coefficient. The application of the developed numerical solution to simulate sodium chloride (NaCl) leaching curves (LCs) at a laboratory scale revealed that the numerical solution described the leaching process in the homogeneous and heterogeneous sands better than COMSOL Multiphysics®, a commercial finite element software package. According to the fitting results of the developed numerical solution to the experimental data, the mean α values were 1.876 and 1.379 for the homogeneous and heterogeneous sands, respectively. The α values correctly represented the heterogeneity degrees of the used sands and the deviation rate of the transport process from the Fickian transport. Overall, the proposed numerical solution is a reliable numerical model to simulate the leaching process in homogeneous and heterogeneous porous media with bounded domains.

Mandibular Reconstruction Using Iliac Flap Based on Occlusion-Driven Workflow Transferred by Digital Surgical Guides

The current standard for mandibular reconstruction is a contour-based approach using a fibular flap offering good cosmetic results but challenging to reconstruct using dental implants. An iliac flap is more amenable to implant placement and better suited for occlusion-driven reconstruction. We aimed to describe an occlusion-driven workflow that involves the use of digital surgical guides to perform mandibular reconstruction using an iliac flap; we also aimed to compare our results to those we achieved with conventional contour-based reconstruction. This was a retrospective cohort study. All patients who underwent mandibular reconstruction with an iliac flap at our university hospital between September 2017 and December 2019 were considered eligible for the study. The inclusion criteria included mandibular defects after tumor ablation and stable preoperative occlusal relationship. The exclusion criteria were as follows: defects involving the condyle and ramus, temporomandibular joint disease, and obvious preoperative nontumor-related facial asymmetry. To evaluate surgical outcomes, patients were assigned to 2 groups based on the implemented surgical workflow: the occlusion-driven and traditional contour-driven groups. The intermaxillary distance, intermaxillary angle, surface deviation, and implantation rates were compared between the 2 groups. The operating time, length, and number of iliac bone segments were recorded. Intergroup differences were investigated using an independent samples t test and Fisher exact test. Overall, 24 patients were included (13 in the occlusion-driven group and 11 in the contour-driven group). Implantation rate was higher in the occlusion-driven group (61.5%) compared with the contour-driven group (18.2%; P=.047). The average acceptable intermaxillary distance was greater in the occlusion-driven group (92.3±27.7%) than in the contour-driven group (47.0±47.6%; P=.01). The average intermaxillary angle was 88.2±8.4° in the occlusion-driven group and 76.4±10.3° in the contour-driven group (P<.01). Digital surgical guides can precisely transfer virtual surgical planning to real-world mandibular surgery. An occlusion-driven workflow might provide a better intermaxillary jaw relationship than traditional contour-driven surgical procedures, resulting in improved mastication.

Sensitivity Detection of Uric Acid and Creatinine in Human Urine Based on Nanoporous Gold.

Given the significance of uric acid and creatinine in clinical diagnostic, disease prevention and treatment, a multifunctional electrochemical sensor was proposed for sensitive detection of uric acid and creatinine. The sensitive detection of uric acid was realized based on the unique electrochemical oxidation of nanoporous gold (NPG) towards uric acid, showing good linearity from 10 μM to 750 μM with a satisfactory sensitivity of 222.91 μA mM−1 cm−2 and a limit of detection (LOD) of 0.06 μM. Based on the Jaffé reaction between creatinine and picric acid, the sensitive detection of creatinine was indirectly achieved in a range from 10 to 2000 μM by determining the consumption of picric acid in the Jaffé reaction with a detection sensitivity of 195.05 μA mM−1 cm−2 and a LOD of 10 μM. For human urine detection using the proposed electrochemical sensor, the uric acid detection results were comparable to that of high-performance liquid chromatography (HPLC), with a deviation rate of less than 10.28% and the recoveries of uric acid spiked in urine samples were 89~118%. Compared with HPLC results, the deviation rate of creatinine detection in urine samples was less than 4.17% and the recoveries of creatinine spiked in urine samples ranged from 92.50% to 117.40%. The multifunctional electrochemical sensor exhibited many advantages in practical applications, including short detection time, high stability, simple operation, strong anti-interference ability, cost-effectiveness, and easy fabrication, which provided a promising alternative for urine analysis in clinical diagnosis.

Growth and Polyphenols Content of Kale In Growing Media With Humic Acid Addition

Kale (Brassica oleracea) contains some nutritional values like: vitamin C, pro vitamin A (carotenoids), and some compound belong to polyphenol are flavonoids that benefit to its consumer for the growth and health of the body. Polyphenols are bioactive molecules which play an essential role in plants response to ultraviolet irradiation, and high temperature. Flavonoids comprise the most studied group of polyphenols. This group has a common basic structure consisting of two aromatic rings bound together by three carbon atoms that form an oxygenated heterocycle. In order to support growth and increase it’s productivity, cultivation of Kale supposed to be done in good planting media. The addition of organic subtances like humic acid in planting media has proven to increase plant growth and increase productivity in several plants. The objectives of this research were to know the influence of the influence of humic acid on the growth of plant varieties and polyphenol content and to determine the best concentration of humic acid in increasing growth and polyphenol content. The current research method was carried out experimentally a completely randomize design in a split plot method. The main plot was plant’s varieties in 2 levels: V1: Kale Nero toscana (Brassica oleracea var. palmifolia), V2: Siberian dwarf Kale (Brassica oleracea Var. Sabellica). while the sub plot was the HA concentrations in 4 levels i.e 0 g.kg-1, 4 g.kg-1, 8 g.kg-1, and 12 g.kg-1 of planting medium, The parameters used in this study are fresh and dry weight. These data were obtained by weighing the roots and shoots; root’s length, chlorophyll content, and polyphenol content in kale. The data of polyphenol content was obtained by extracting the plant material following a maceration method then calculated using the Folin ciochalteau spectrophotometric. The data of plant’s growth and polyphenol content obtained was analyzed using (F test) with standard deviation rate of 5% and 1%. The results of the analysis of variance which has a significant different, followed by the least significant difference test (LSD). And for the result is the treatment of humic acid increase the growth and polyphenol content of Kale Nero (B. oleracea var. Palmifolia) and Siberian dwarf kale (B. oleracea Var. Sabellica).

Influence of Coupling Effects between Gravel Soil Porosity and Cement Grout Weight on Diffusion Laws and Morphologies of Penetration Grouting

The practice and theory of grouting engineering show that both injected medium porosity and grouting fluid weight play an important influence on the diffusion law and morphology of penetration grouting. However, the effects have not been well studied in the context of existing penetration grouting mechanisms. In this paper, the actual diffusion law and morphology of cement grout into the gravel soil are studied on the basis of indoor experiments, mathematical statistics, and theoretical analyses. Then, the three-dimensional space diffusion trajectory equation was quantitatively characterized. The influence of the coupling effect between gravel soil porosity and cement grout weight on diffusion morphologies of penetration grouting was discussed by the definition of the morphological deviation rate. Results show that actual penetration diffusion dimensions of cement grout into the gravel soil differ from that of theoretical values calculated by the penetration grouting mechanism, and its spatial diffusion morphology is approximated as ellipsoid. The coupling effect between gravel soil porosity and cement grout weight have a relatively significant effect on the diffusion morphologies of penetration grouting except for gravel soil with porosity &lt;0.5 infiltrated by Newton-type and &lt;0.4 by power-law-type cement grout, respectively. This influence is particularly significant when Bingham-type cement grout was penetrated into gravel soil with a porosity of &gt;0.5. The research results can provide theoretical support and technical references for the practical grouting engineering of gravel soil.

Aging endometrium in young women: molecular classification of endometrial aging-based markers in women younger than 35years with recurrent implantation failure.

To explore the differences between a population with premature endometrial aging and a population with normal endometrial status in young women with recurrent implantation failure (< 35years). Systematic analysis of the endometrium transcriptome of 274 RIF women. The NMF algorithm was used for classification based on endometrial-specific aging markers in CellAge, and the endometrial receptivity, gene expression patterns, and clinical data were compared between the classifications. Two hundred forty-five young RIF women could be divided into two clusters, in which the aging gene expression pattern of cluster 2 was closer to the reference cluster. Cluster 1 was characterized by high immune activity, while cluster 2 was characterized by high metabolic activity. Combined with clinical data, cluster 2 was worse than cluster 1 in window of implantation deviation rate and endometrial receptivity. Premature aging of the endometrium exists in young women with RIF, and premature aging of the endometrium was associated with poor reproductive outcomes.

Accuracy of robotic-assisted pedicle screw placement comparing junior surgeons with expert surgeons: Can junior surgeons place pedicle screws as accurately as expert surgeons?

BackgroundThe purpose of this study was to verify whether a spine robotic system was useful for junior surgeons. MethodsTwenty-seven patients underwent posterior spinal fusion with open surgery using a spine robotic system (Mazor X Stealth Edition, Medtronic Inc., Dublin, Ireland) from April to August 2021. Pedicle screw insertions were performed by five surgeons. The surgeon and insertion time were recorded for each pedicle screw. Two surgeons who are board-certified spine surgeons by the Japanese Society for Spine Surgery and Related Research (JSSR) were defined as the expert surgeon group. Three surgeons who were training to acquire qualifications as JSSR board certified spine surgeons were defined as the junior surgeon group. In postoperative CT images, the deviation of 255 pedicle screws was evaluated using the Gertzbein-Robbins (GR) grades. ResultsIn the expert surgeon group, the GR grades were Grade A for 79 screws (90.8%), Grade B for 6 (6.9%), Grade C for 2 (2.3%), and 0 (0%) for Grades D and E. I In the junior surgeon group, the GR grades were Grade A for 162 screws (96.4%), Grade B for 6 (3.6%), and 0 (0%) for Grades C, D, and E. There was no significant difference in the deviation rate between surgeon groups (p = 0.08). The mean insertion times were 174.5 ± 83.0 s in the expert surgeon group and 191.0 ± 111.0 s in the junior surgeon group. There was no significant difference in the insertion time between surgeon groups (p = 0.22). ConclusionsThere were no significant differences in the deviation rate and the insertion time of robotic-assisted pedicle screw placement between expert surgeons and junior surgeons who were training to acquire qualifications as JSSR board certified spine surgeons. Robotic-assisted pedicle screw placement can be effectively employed by junior surgeons.

Adaptive saturated tracking control for solid launch vehicles in ascending based on differential inclusion stabilization

The large-range uncertainties of specific impulse, mass flow per second, aerodynamic coefficients and atmospheric density during rapid turning in solid launch vehicles (SLVs) ascending leads to the deviation of the actual trajectory from the reference one. One of the traditional trajectory tracking methods is to observe the uncertainties by Extended State Observer (ESO) and then modify the control commands. However, ESO cannot accurately estimate the uncertainties when the uncertainty ranges are large, which reduces the guidance accuracy. This paper introduces differential inclusion (DI) and designs a controller to solve the large-range parameter uncertainties problem. When above uncertainties have large ranges, it can be combined with the ascent dynamic equation and described as a DI system in the mathematical form of a set. If the DI system is stabilized, all the subsets are stabilized. Different from the traditional controllers, the parameters of the designed controller are calculated by the uncertain boundaries. Therefore, the controller can solve the problem of large-range parameter uncertainties of in ascending. Firstly, the ascent deviation system is obtained by linearization along the reference trajectory. The trajectory tracking system with engine parameters and aerodynamic uncertainties is described as an ascent DI system with respect to state deviation, which is called DI system. A DI adaptive saturation tracking controller (DIAST) is proposed to stabilize the DI system. Secondly, an improved barrier Lyapunov function (named time-varying tangent-log barrier Lyapunov function) is proposed to constrain the state deviations. Compared with traditional barrier Lyapunov function, it can dynamically adjust the boundary of deviation convergence, which improve the convergence rate and accuracy of altitude, velocity and LTIA deviation. In addition, the correction amplitudes of angle of attack (AOA) and angle of sideslip (AOS) need to be limited in order to guarantee that the overload constraint is not violated during actual flight. In this paper, a fixed time adaptive saturation compensation auxiliary system is designed to shorten the saturation time and accelerate the convergence rate, which eliminates the adverse effects caused by the saturation. Finally, it is proved that the state deviations are ultimately uniformly bounded under the action of DIAST controller. Simulation results show that the DI ascent tracking system is stabilized within the given uncertainty boundary values. The feasible bounds of uncertainty is broadened compared with Integrated Guidance and Control algorithm. Compared with Robust Gain-Scheduling Control method, the robustness to the engine parameters are greatly improved and the control variable is smoother.

Descriptive Study of EFL Teachers’ Perception toward E-learning Platforms during the Covid-19 Pandemic

The study critically examines the features of three such e-learning platforms: Blackboard, Google Classroom, and Zoom. It provides an in-depth analysis of the digital learning podium's effectiveness in a pandemic like COVID-19. It synthesizes the strengths and limitations of the selected e-learning platforms for English language teaching. The study focuses on authentic e-learning platforms' potentials to encourage EFL teachers and learners to take the challenge of adapting to a transforming world that could engage them in e-learning innovation. An electronic survey of 36 items was conducted to identify EFL teachers' perceptions of these platforms' performance. The survey comprised three questionnaires for each e-learning platform with six parts, namely, accessibility and usability, efficiency and convenience, communication and interaction, teacher's attitude, teacher's satisfaction, and E-learning experience during COVID-19. The elicited data was analysed using Minitab 16 Statistical software. The internal consistency of the survey was measured through the values of Cronbach's Alpha. Other statistical measures such as mean, standard deviation, and agreeable rate (AR) were used to portray the efficacy of each application. The results of the survey indicate that Google Classroom (Ave. AR = 72.92%, Ave. Mean = 3.887) is the most effective e-learning platform, followed by Blackboard (Ave. AR = 68.09%, Ave. Mean = 3.694), and lastly Zoom (Ave. AR = 61.85%, Ave. Mean = 3.544), according to the participants. The research findings should be an initiative for the language learners and help teachers and policymakers design e-learning environments to make the learning process feasible in and out of an international global crisis.&#x0D;

Inverse design of coupled subwavelength dielectric resonators with targeted eigenfrequency and Qfactor utilizing deep learning.

Subwavelength all-dielectric resonators supporting Mie resonances are promising building blocks in nanophotonics. The coupling of dielectric resonators facilitates advanced shaping of Mie resonances. However, coupled dielectric resonators with anisotropic geometry can only be designed by time-consuming simulation utilizing parameter scanning, hampering their applications in nanophotonics. Herein, we propose and demonstrate that a combination of two fully connected networks can effectively design coupled dielectric resonators with targeted eigenfrequency and Q factor. Typical examples are given for validating the proposed network, where the normalized deviation rates of eigenfrequency and Q factor are 0.39% and 1.29%, respectively. The proposed neutral network might become a useful tool in designing coupled dielectric resonators and beyond.

Research on the Three-Stage Trading Strategy of Gold and Bitcoin Using Technical Indicators and A LSTM Model

In recent years, in pursuit of higher returns, people began to try the combination of bitcoin and gold. This study explored how to use the current and past prices of gold and bitcoin to get the best investment strategies for the next day to get the maximum return. The obtained historical price data of gold and bitcoin from 2016 to 2021 are divided into three stages according to the time axis, namely, stage Ⅰ (1st day-300th day), stage Ⅱ (300th day-400th day) and stage III (400th day-1825th day). Different methods are used for each stage to determine the trading strategy. In stage I, a comprehensive index is constructed by using four technical indexes closely related to the formulation of daily strategies in the financial market, such as moving average convergence and divergence, deviation rate, stochastic index and detrended price oscillator, and the trading strategy is determined by using this comprehensive index. In stage II, the four technical indicators and product prices in stage I are used as training sets, and the daily trading strategy is given by using the decision tree classification model. In the third stage, the long-term and short-term memory neural network is used to develop the future price prediction model of gold and bitcoin, and the trading strategies of gold, bitcoin and cash asset portfolios are formulated according to the dynamic optimization results of different types of traders' risk tolerance. The results show that during the five years from September 11, 2016 to September 10, 2021, the whole strategy created a net profit of $170,381 for aggressive traders and $7,694 for rational traders. After verification, our strategy is effective and robust, and its volatility is relatively small. The research provides theoretical guidance for investors on how to choose portfolios and trade to get the maximum return.

Research on Heartbeat Detection Method of Ballistocardiogram Based on Bidirectional Long Short-term Memory Network

In order to improve the accuracy and generalization ability of extracting successive heartbeat cycle based on ballistocardiogram (BCG), this paper proposed a general method for detecting J peak of BCG signals by using bidirectional long short-term memory network. First, the clustering method is used to establish the sequence feature set of BCG signals in different sleeping positions, and the data set used contains a variety of different forms of BCG signals. Then, according to the Bidirectional LSTM (BiLSTM) many-to-many recognition model, the number of J peaks in the output sequence is counted to achieve real-time heartbeat detection. The results showed that the deviation rate of BCG heart rate detection was 0.27%, and there was no significant difference between BCG and ECG in the detection of heartbeat interval. Compared with other methods, this method has higher robustness and accuracy in detection effect, which provides a new idea for realizing high-precision unconstrained heartbeat detection.

Prediction of Research Hotspots Based on LSTM: Taking Information Science as Example.

Detection and identification become the prediction of future research hotspots in the discipline, which is important to grasp the current status and development trend of the discipline research. In this paper, we use the cumulative topic heat model to calculate the research heat of each research topic in intelligence science from 2000 to 2020 and use the first 70% of the data as the training set, use the LSTM model for prediction, and construct the ECM model for error correction. The actual topic hotness of intelligence science for the latter 30% of data was used as the validation set to verify the effectiveness of the method. It was found that the average deviation rate of the method's prediction results fluctuated between 9.75% and 12.68%, and the average number of error entries was about 0.161, which had high validity. The study also predicts that by 2025, topics such as “crisis warning” and “health information services” in intelligence will continue to rise in popularity and “scientific data” and “data mining” will continue to rise in popularity. The hotness of “data mining” will remain stable, while the hotness of “citation analysis” and “ontology” will gradually decline.

Transient loss of consciousness in children: Syncope or epileptic seizure?

Background &amp; Objective: Transient loss of consciousness (TLOC) is often benign from syncope but may be due to epileptic seizure. In this study, we aimed to evaluate the clinical differences between TLOC from epileptic seizures and syncope. Methods: The medical records of 300 children with TLOC were analyzed retrospectively. Age, sex, clinical symptoms, trigger factors, laboratory findings, ECG, ECHO, EEG and neuroimaging findings, as well as the causes of TLOC were reviewed. Results: Out of the 300 children admitted with TLOC, 288 (96%) were diagnosed as syncope. Of these patients, 231 (77%) were diagnosed as vasovagal syncope, 19 (6.3%) as orthostatic hypotension, and 38 (12.7%) as unclassifiable syncope. Twelve (4.2%) patients were diagnosed with epilepsy. Patients with epilepsy showed significantly higher rates of collapse and eye deviation during TLOC, as well as occurring in sitting and supine position (p=0.012, p=0.039, p=0.03 respectively). Conclusion: For a differential diagnosis, TLOC accompanied by collapse, eye deviation and occurrence in sitting or supine position are suggestive of epilepsy.

Large deviations analysis for random combinatorial partitions with counter terms

In this paper, we study various models for random combinatorial partitions using large deviation analysis for diverging scale of the reference process. The large deviation rate functions are normalised limiting free energies and the main focus is to study their minimiser for various Gibbsian ensembles with respect to the reference measure which is a probabilistic version of the ideal Bose gas. Scaling limits of similar models have been studied recently (Fatkullin and Slastikov 2018 arXiv:1801.00812v2; Fatkullin and Xue 2021 J. Stat. Phys. 183 22) going back to (Vershik 1996 Func. Anal. Appl. 30 90–105). After studying the reference model, we provide a complete analysis of two mean field models, one of which is well-know (Benfatto et al 2005 J. Math. Phys. 46 033303) and the other one is the cycle mean field model. Both models show critical behaviour despite their rate functions having unique minimiser. The main focus is then a model with negative counter term, the probabilistic version of the so-called Huang–Yang–Luttinger model (van den Berg et al 1988 Commun. Math. Phys. 118 61–85). Criticality in this model is the existence of a critical parameter for which two simultaneous minimiser exists. At criticality an order parameter is introduced as the double limits for the density of cycles with diverging length, and as such it extends recent work in (Adams and Dickson 2021 Ann. Henri Poincaré 22 1535–60).