Optimized strategies of cloud droplet distribution retrieval using satellite multi-directional polarimetric optical measurements: information content approach.

Multi-directional polarized optical sensors are increasingly vital in passive remote sensing, deepening our understanding of global cloud properties. Nevertheless, uncertainty lingers on how these observations can contribute to our knowledge of cloud diversity. The variability in cloud PSD (Particle Size Distribution) significantly influences a wide array of cloud characteristics, while unidentified factors in RT (Radiative Transfer) may introduce errors into the cloud PSD retrieval algorithm. Therefore, establishing unified evaluation criteria for both optical device configuration and inversion methods is crucial. Our study, based on Bayesian theory and RT, assesses the information content of both cloud effective radius and effective variance retrieval, along with the key factors affecting their retrieval in multi-directional polarized observations, using the calculation of DFS (Degree of Freedom for Signals).We consider the process of solar incidence, cloud scattering, and sensor reception, and discuss the impact of various sensor configurations, cloud characteristics, and other components on the retrieval of cloud PSD. Correspondingly, we observed a 48% improvement in the information content of cloud PSD with the incorporation of multi-directional polarized measurements in the rainbow region. Cloud droplet concentration significantly influences inversion, but its PSD does not cause monotonic linear interference on information content. The blending of particle mixtures with different PSD has a significant negative impact on DFS. In cases where the AOD (Aerosol Optical Depth) is less than 0.5 and the COT (Cloud Optical Thickness) exceeds 5, the influence of aerosol and surface contributions on inversion can be neglected. Our findings would serve as a foundation for future instrument design improvements and enhancements to retrieval algorithms.

Interaction between baseline BMI and baseline disease severity predicts greater improvement in negative symptoms in first-episode schizophrenia.

Several studies have reported that baseline symptom severity in patients with schizophrenia (SCZ) is associated with the efficacy of antipsychotic medication. Overweight/obesity is common in SCZ and has also been reported to be correlated with therapeutic response to antipsychotics. This study aimed to evaluate whether baseline body mass index (BMI) and disease severity were associated with improvements in negative symptoms in patients with first-episode and medication-naïve (FEMN) SCZ. A total of 241 FEMN patients were recruited in this study and treated with oral risperidone over 3 months. Clinical symptoms were measured by the Positive and Negative Syndrome Scale (PANSS) and BMI was assessed at baseline and 3-month follow-up. We found that baseline BMI was correlated with the baseline severity of symptoms. Baseline BMI or baseline disease severity was associated with improvement in negative symptoms after 3 months of treatment. Linear regression analysis indicated that the interaction of BMI and disease severity at baseline was associated with improvement in negative symptoms in the early stage of SCZ after controlling for sex, age, and dose of risperidone. Our study suggests that the interaction of baseline BMI and disease severity may play a role in predicting negative symptom improvement after 3 months of risperidone treatment.

Method of Directly Writing MPA on Photosensitive Surface of Detector Based on FIB.

The division of focal plane (DoFP) polarization detector has great potential for the development of aerospace polarimeters, but the existing commercial DoFP polarization detector cannot satisfy all the missions due to the diversity of satellite payloads. Here, we propose a method of directly writing a micro-polarizer array (MPA) on the detector surface based on focused ion beams (FIB) and fabricating a push-broom scanning DoFP polarization detector. The feasibility and low crosstalk of the solution were proved through testing, and the reasons for the low extinction ratio caused by oxidation were explained through characterization and numerical calculations. This scheme is not only applicable to DoFP polarization detectors but also provides ideas for the integration of other metasurface structures and detectors.

Laparoscopic transection and partial resection of hernia sac in the treatment of indirect inguinal hernia: A preliminary observation.

INTRODUCTION: This study aimed to investigate the feasibility of applying laparoscopic transection and partial resection of hernia sac in the treatment of indirect inguinal hernia in children. PATIENTS AND METHODS: From December 2017 to November 2018, we recruited 20 children, who were aged 1-6 years old, with indirect inguinal hernia. At the time of admission, the participants had already developed an indirect inguinal hernia for 6 months to 1 year. A simple transection and partial resection of hernia sac was performed at the internal ring on each of the recruited children. The procedure was conducted under laparoscopy. Two 5-mm trocars were placed on either side of the umbilicus, one for the camera and the other for a surgical instrument. Another trocar was placed on the right abdomen. Laparoscopic camera curved forceps, and scissors were placed. Along the unclosed internal ring, the peritoneum was cut in a circular fashion to transect the hernia sac and dissociate it from the distal end. About 1-2 cm of the hernia sac was resected. RESULTS: The operation was successfully completed in all 20 cases, who did not experience any complications, such as the absence of spermatic cord, vas deferens injury, scrotal swelling and incision infection. The children were discharged 1 day after the operation. In the post-operative follow-up for the first 3-4 years, recurrence and testicular atrophy did not occur in the study participants. CONCLUSION: The short-term results obtained from this study showed that the application of laparoscopic transection and partial resection of hernia sac in the treatment of indirect inguinal hernia is feasible. Long-term results and further observation are needed for validation.

New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework.

A series of discrete time-variant matrix inequalities is generally regarded as one of the challenging problems in science and engineering fields. As a discrete time-variant problem, the existing solving schemes generally need the theoretical support under the continuous-time framework, and there is no independent solving scheme under the discrete-time framework. The theoretical deficiency of solving scheme greatly limits the theoretical research and practical application of discrete time-variant matrix inequalities. In this article, new discrete-time recurrent neural network (RNN) algorithms are proposed, analyzed, and investigated for solving different time-variant matrix inequalities under the discrete-time framework, including discrete time-variant matrix vector inequality (discrete time-variant MVI), discrete time-variant generalized matrix inequality (discrete time-variant GMI), discrete time-variant generalized-Sylvester matrix inequality (discrete time-variant GSMI), and discrete time-variant complicated-Sylvester matrix inequality (discrete time-variant CSMI), and all solving processes are based on the direct discretization thought. Specifically, first of all, four discrete time-variant matrix inequalities are presented as the target problems of these researches. Second, for solving such problems, we propose corresponding discrete-time recurrent neural network (RNN) (DT-RNN) algorithms (termed DT-RNN-MVI algorithm, DT-RNN-GMI algorithm, DT-RNN-GSMI algorithm, and DT-RNN-CSMI algorithm), which are different from the traditional DT-RNN design thought because second-order Taylor expansion is applied to derive the DT-RNN algorithms. This creative process avoids the intervention of continuous-time framework. Then, theoretical analyses are presented, which show the convergence and precision of the DT-RNN algorithms. Abundant numerical experiments are further carried out, which further confirm the excellent properties of the DT-RNN algorithms.

The bidirectional influence between emotional language and inhibitory control in Chinese: An ERP study.

The bidirectional influence between emotional language and inhibitory processes has been studied in alphabetic languages, highlighting the need for additional investigation in nonalphabetic languages to explore potential cross-linguistic differences. The present ERP study investigated the bidirectional influence in the context of Mandarin, a language with unique linguistic features and neural substrates. In Experiment 1, emotional adjectives preceded the Go/NoGo cue. The ERPs revealed that negative emotional language facilitated inhibitory control. In Experiment 2, with a Go/NoGo cue preceding the emotional language, the study confirmed that inhibitory control facilitated the semantic integration of negative language in Chinese, whereas the inhibited state may not affect deeper refinement of the emotional content. However, no interaction was observed in positive emotional language processing. These results suggest an interaction between inhibitory control and negative emotional language processing in Chinese, supporting the integrative emotion-cognition view.