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Spectrometer miniaturization is desired for handheld and portable applications, yet nearly no miniaturized spectrometer is reported operating within terahertz (THz) waveband. Computational strategy, which can acquire incident spectral information through encoding and decoding it using optical devices and reconstruction algorithms, respectively, is widely employed in spectrometer miniaturization as artificial intelligence emerges. We demonstrate a computational miniaturized THz spectrometer, where a plasmonic filter array tailors the spectral response of a blocked-impurity-band detector. Besides, an adaptive deep-learning algorithm is proposed for spectral reconstructions with curbing the negative impact from the optical property of the filter array. Our spectrometer achieves modest spectral resolution (2.3 cm−1) compared with visible and infrared miniaturized spectrometers, outstanding sensitivity (e.g., signal-to-noise ratio, 6.4E6: 1) superior to common benchtop THz spectrometers. The combination of THz optical devices and reconstruction algorithms provides a route toward THz spectrometer miniaturization, and further extends the applicable sphere of the THz spectroscopy technique.

With the arrival of the digital technology era, virtual reality technology is widely used in the fields of medical care, culture and history, entertainment, and games. In this context, researchers have explored how to organically integrate virtual reality technology into the teaching field, and virtual simulation experiments have been developed with the help of virtual simulation technology. Citespace and meta-analysis are used in the first part of this study to investigate the impact of virtual simulation on the teaching effect of scientific research experiments and to identify the factors that influence the teaching effect of scientific research experiments. On this basis, the control optimization of virtual hands is carried out for the interaction technology of virtual simulation technology, and then DTW is used to optimize the recognition of hand gestures in order to improve the immersion of virtual simulation scientific research experiments. The research experiment teaching model based on virtual simulation technology is constructed jointly with the 5-E teaching model and i-MMLOE teaching design model. The average recognition accuracy of this paper’s gesture optimization recognition method is as high as 99.61%, and the average recognition time is 48.89ms, which can achieve a smooth and comfortable gesture recognition process in the real-time state with good performance. Through the teaching effect test of this paper’s teaching mode, the average score of this paper’s teaching mode compared with the traditional teaching mode is increased by 4.394 points, and the Sig is 0.011 less than 0.05, which is a significant difference, proving that this paper’s virtual simulation scientific research experimental teaching mode has a good teaching effect. It shows that the teaching mode of this paper is helpful for teaching and managing scientific research experiments, and provides certain references and references that are important for scientific research experiment teaching.

This study investigated how enhanced video captioning types affected comprehension and vocabulary acquisition regarding form recognition, meaning recall and meaning recognition. 158 low-intermediate Chinese EFL undergraduates were randomly assigned to English captions (EC), English captions with highlighted target words and L1 gloss (ECL1), Chinese and English captions (CEC), Chinese and English captions with highlighted target words (CECGW), and no captions (NC). For listening comprehension, results revealed the CECGW scored higher than CEC, EC and NC while the NC performed lower than other groups with statistical significance. Captioned videos and videos bilingually captioned with glossed target words aided listening comprehension. For form recognition in vocabulary tests, no statistically significant differences were detected across the caption types. ECL1 was the most effective in meaning recall and recognition. Pedagogical implications are proposed for teachers' adoption of L1 in captioned videos for learners' optimal learning.

Introduction: Pharmacists are increasingly adopting patient-centered roles, improving healthcare outcomes by reducing medication errors and costs. In China, recent healthcare reforms recognize and compensate for pharmacy services. However, patient awareness of these services and their willingness to pay (WTP) remain underexplored. Therefore, this study aims to examine inpatient understanding of pharmacy services, their WTP in Hebei Province, and the factors affecting it. Methods: Between July and August 2024, a questionnaire was used to survey inpatients from 22 medical institutions across 11 prefecture-level cities in Hebei Province regarding their awareness of WTP for pharmacy services. Further investigation targeted inpatients unwilling to pay. The survey results were analyzed descriptively, with frequencies and percentages (%) used for categorical data and continuous data were presented as mean ± standard deviation (X ± SD). The chi-square test was used to determine statistically significant influences, and logistic regression analysis was performed to identify significant factors affecting inpatient WTP for pharmacy services. A column-line graph was validated using receiver operating characteristic curves and calibration graph analysis. Results: In total, 464 questionnaires were distributed, with 432 valid responses, yielding a 93.10% effective response rate. Most inpatients (89.58%) viewed hospital pharmacists as primarily responsible for dispensing medication, while only 5.79% were aware of broader pharmacy services. Despite this, 72.69% of the inpatients were willing to receive pharmacy services, and 95.38% of those who had received such services found them beneficial. Half of the inpatients (216, or 50.00%) indicated WTP for pharmacy services. Among those initially unwilling to pay (216 inpatients), 102 indicated they would consider payment if a doctor recommended clinical pharmacist guidance. Of the 318 inpatients who were WTP, 315 (99.06%) chose health insurance reimbursement as a payment method. Key factors influencing inpatient WTP included literacy level, preferred source of medication counseling, prior pharmacy service experience, understanding of pharmacy service policies, and readiness to recommend these services (P < 0.05). Conclusion: Most inpatients lacked knowledge and trust in clinical pharmacists, with limited awareness of the value of pharmacy services. However, they demonstrated high acceptance and WTP for these services, with nearly all inpatients preferring health insurance reimbursement. Integrating pharmacy service fees into health insurance is crucial for promoting these services. [ABSTRACT FROM AUTHOR]

Owing to their consistently emerging applications in modern photonics, highly sensitive and rapid mid‐infrared (MIR) photodetectors, operating at high temperatures, are of great significance. Herein, a novel PbTe/Ge heterostructure is introduced. Notably, the discovery of a 2D electron gas (2DEG) system on the surface of the PbTe layer is experimentally identified for the first time. A high‐performance PbTe/Ge heterostructure MIR photodetector utilizing a plasmonic photovoltaic effect is developed by employing asymmetric electrodes. The photodetecting device demonstrates an exceptionally high detectivity of 1.1 × 1011 Jones along with a short response time of 15 ns at room temperature. Additionally, the proposed plasmonic photovoltaic mechanism of the device is investigated and mainly ascribed to the propagating plasmons, generated by the coupling of the 2DEG with incident MIR photons. Moreover, a linear detector array (LDA) of PbTe/Ge is demonstrated for a thermal imaging application, which exhibits promising high‐quality real‐time imaging via the 2D photodetector arrays on Ge‐based integrated circuits. This work opens up a new way for the development of next‐generation, advanced MIR photonic devices and integrated photonic systems. [ABSTRACT FROM AUTHOR]

Biotechnology assumes a paramount role in addressing micronutrient deficiencies. The promotion thereof and the augmentation of public awareness are indispensable for implementation. The advancement of big data presents challenges due to the plethora of information and the constrained processing capacity, thereby inducing difficulties in consumer decision-making. The study is obliged to intensify information dissemination to empower consumers to apprehend the value of selenium-enriched products as an integral constituent of positive nutrition guidance. The study undertook an experiment related to nutrition information acquisition, in which participants provided relevant interferences. The study utilized the structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) to analyze the data. The study arrived at three research conclusions. Firstly, the furnishing of valuable information constitutes a significant factor in motivating consumers to purchase selenium-rich agricultural products. Secondly, the communication of brand information holds crucial significance in shaping the perception of product advantages and plays a salient role in the promotion and construction of selenium-rich agricultural products. Finally, the dissemination of health information can be incorporated into the process of promoting selenium-rich agricultural products. This conforms to the urgent necessity to address hidden hunger and establish a value identity. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the impact of low-temperature (LT) stress during the jointing stage on three most representative wheat varieties in the Huang-Huai-Hai region: "Shannong 38" (a robust winter wheat variety), "Jimai 22" (a semi-winter wheat variety), and "Zhenmai 12" (a weak winter wheat variety). The objective was to explain the sensitivity and change thresholds of various physiological and yield indicators of three winter wheat varieties to low temperatures during the jointing stage and to construct an index for the grading of LT disasters during the jointing stage using principal component analysis. Controlled environment experiments were conducted using an artificial climate chamber during the jointing stage of winter wheat. Five daily minimum temperature treatments were applied, namely (T1, −6 °C); (T2, −3 °C); (T3, 0 °C); (T4, 3 °C); (T5, 6 °C); and control (CK, 8 °C). The duration of treatments was divided into three levels: (D1: 2 days), (D2: 4 days), and (D3: 6 days). It was found that the photosynthetic parameters and chlorophyll content showed a decreasing trend with the increase in the degree of LT stress. The activities of protective enzymes and endogenous hormones increased during the early stages of LT stress or at relatively high temperatures. However, they decreased significantly with an increase in LT stress. Among the varieties, "Zhenmai 12" exhibited a yield reduction rate exceeding 10% under 3 °C LT stress for more than 4 days and a yield reduction rate exceeding 20% under 0 °C LT stress for more than 6 days. "Jimai 22" showed a yield reduction rate exceeding 10% under 3 °C LT stress lasting more than 2 days, and a yield reduction rate exceeding 20% under −3 °C LT stress lasting more than 4 days. "Shannong 38" experienced a yield reduction rate exceeding 10% under 0 °C LT stress lasting more than 4 days and a yield reduction rate exceeding 20% under −6 °C LT stress lasting more than 6 days. Principal component analysis (PCA) conducted on all trait indicators of the three winter wheat varieties revealed that "Zhenmai 12" experienced mild LT stress at 6 °C for 2 days, moderate LT stress at 0 °C for 6 days, and severe LT stress at −3 °C for 6 days. "Jimai 22" experienced mild LT stress under 6 °C for 6 days, moderate LT stress under 0 °C for 4 days, and severe LT stress under −6 °C for 2 days. "Shannong 38" experienced mild LT stress under 3 °C for 4 days, moderate LT stress under 0 °C for 4 days, and severe LT stress under −6 °C for 6 days. [ABSTRACT FROM AUTHOR]