RESUMEN
BACKGROUND: Acute cerebral infarction (ACI) is characterized by a high incidence of morbidity, disability, recurrence, death and heavy economic burden, and has become a disease of concern in global researchers. As ACI has serious effects on patients' physical status, life and economy, often causing anxiety, depression and other psychological problems, these problems can lead to the aggravation of physical symptoms; thus, it is very important to understand the factors affecting the mental health of these patients. AIM: To understand the elements that affect the mental health of patients who have suffered an ACI. METHODS: A questionnaire survey was conducted among patients with ACI admitted to three tertiary hospitals (Quanzhou First Hospital, Fuqing City Hospital Affiliated to Fujian Medical University, and the 900 Hospital of the Joint Service Support Force of the People's Liberation Army of China) in Fujian Province from January 2022 to December 2022 using the convenience sampling method. ACI inpatients who met the inclusion criteria were selected. Informed consent was obtained from the patients before the investigation, and a face-to-face questionnaire survey was conducted using a unified scale. The questionnaire included a general situation questionnaire, Zung's self-rating depression scale and Zung's self-rating anxiety scale. All questionnaires were checked by two researchers and then the data were input and sorted using Excel software. The general situation of patients with ACI was analyzed by descriptive statistics, the influence of variables on mental health by the independent sample t test and variance analysis, and the influencing factors on psychological distress were analyzed by multiple stepwise regression. RESULTS: The average age of the 220 patients with ACI was 68.64 ± 10.74 years, including 142 males and 78 females. Most of the patients were between 60 and 74 years old, the majority had high school or technical secondary school education, most lived with their spouse, and most lived in cities. The majority of patients had a personal income of 3001 to 5000 RMB yuan per month. The new rural cooperative medical insurance system had the largest number of participants. Most stroke patients were cared for by their spouses and of these patients, 52.3% had previously smoked. Univariate analysis showed that gender, age, residence, course of disease, number of previous chronic diseases and smoking history were the main factors affecting the anxiety scores of patients with ACI. Age, living conditions, monthly income, course of disease and knowledge of disease were the primary variables influencing the depression score in patients with ACI. The findings of multivariate analysis revealed that the course of disease and gender were the most important factors influencing patients' anxiety scores, and the course of disease was also the most important factor influencing patients' depression scores. CONCLUSION: Long disease course and female patients with ACI were more likely to have psychological problems such as a high incidence of emotional disorders. These groups require more attention and counseling.
RESUMEN
Imaging AOTF is an important optical filter component for new spectral imaging instruments developed in recent years. The principle of imaging AOTF component was demonstrated, and a set of testing methods for some key performances were studied, such as diffraction efficiency, wavelength shift with temperature, homogeneity in space for diffraction efficiency, imaging shift, etc.
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The acousto-optic tunable filter (AOTF) is the most outstanding progress of near-infrared spectrometer since the 1990s. Restriction in working range and performance of the device exists due to the traditional single-transducer structure. The design of a near-infrared acousto-optic tunable filter with high-throughput and wide-bandwidth adopting a dual-transducer structure is reported in the present paper. By calculation and simulation based on the wave vector diagram which satisfies the parallel-tangents condition, the optimal cutting direction and cutting angle of the acousto-optic crystal, the length of the transducers and other best parameters were obtained. The tuning range of the filter is improved significantly while the resolution, diffraction efficiency and other parameters satisfy the requirements by making two transducers working at the high-frequency part and low-frequency part respectively. According to the testing results of the designed filter, the spectrum resolution is better than 15 nm and the diffraction efficiency is reaches to 41% with the tuning range of 900-2 400 nm.
RESUMEN
A Hadamard transform near infrared spectrometer based on a digital micromirror device was constructed. The optical signal was collected by optical fiber, a grating was used for light diffraction, a digital micromirror device (DMD) was applied instead of traditional mechanical Hadamard masks for optical modulation, and an InGaAs near infrared detector was used as the optic sensor. The original spectrum was recovered by fast Hadamard transform algrithms. The advantages of the spectrometer, such as high resolution, signal-noise-ratio, stability, sensitivity and response speed were proved by experiments, which indicated that it is very suitable for oil and food-safety applications.