The article presents a study on Compressive Sensing-based Correlation Plenoptic Imaging (CPI), an advanced approach to plenoptic imaging that leverages light intensity correlations to enhance image resolution and depth of field. The paper discusses the feasibility of applying compressive sensing techniques to CPI, proposing an algorithm that incorporates a regularization term to improve image quality while reducing the number of necessary frames. The study includes numerical investigations, comparisons of single-problem and multiple-problems strategies, and the exploration of regularization terms that promote sparsity in different domains. The research demonstrates that compressive sensing can improve CPI image quality, potentially allowing for faster acquisition times, although computational costs remain a challenge. The work is supported by various funding sources and involves authors from Planetek Italia s.r.l. and Planetek Hellas E.P.E.

The article discusses the development of a wearable strain sensor that integrates mechanoluminescent fiber with a flexible printed circuit. The research involves multiple authors from various institutions in China, including Sun Yat-Sen University, Huzhou College, Beijing Normal University, and Guangdong University of Technology. The sensor technology aims to enhance wearable technology applications by leveraging mechanoluminescence for improved performance.

The study evaluates the effectiveness of a heart rate variability biofeedback (HRV-BF) protocol in mitigating mental health symptoms among frontline healthcare workers (HCWs) during the COVID-19 pandemic. Conducted at the Hospital Clínic of Barcelona, the study involved 21 female HCWs and utilized both psychometric questionnaires and electrophysiological measurements to assess stress, anxiety, and depression levels before and after the intervention. Results indicated significant improvements in mental health, with reductions in stress, anxiety, and depression symptoms. The study supports the use of a multiparametric chronic stress model based on electrophysiological variables as a reliable tool for assessing the effectiveness of mental health interventions. Further research is suggested to confirm these findings and explore the use of wearable devices for real-time monitoring.

The study assesses the preference of patients in Wuhan, China, for community health centers (CHCs) as their first choice for medical attention. Despite high satisfaction rates with CHCs, a significant portion of patients still prefer hospitals. Factors influencing this choice include geographic proximity, patient satisfaction with facilities and services, and financial concerns. The study highlights the challenges faced by China's primary care system, including workforce shortages and quality issues, and suggests that improving primary care could enhance patient trust and utilization.

Rice–crayfish coculture systems (RCSs) in China have been promoted as an efficient agricultural model that improves rice quality and farmers' incomes. This study examines the herd behavior of farmers in adopting RCSs, using data from 603 farmers and a bivariate probit model. Findings indicate that the number of prior adopters significantly influences farmers' likelihood of adopting RCSs, often leading to blind adoption. Information acquisition ability can significantly inhibit this herd behavior. The study also reveals that herd behavior in RCS adoption is not economically rational, as herding adopters show lower satisfaction and net income per hectare compared to non-herding adopters. Policy recommendations include improving farmers' information acquisition capabilities and regulating the expansion of RCSs to ensure sustainable agricultural development.

The paper reviews the principle and recent developments of photonic time-stretch imaging, an ultrafast imaging technique that maps spatial imaging information into a temporal profile using a dispersive medium. This technique achieves imaging speeds of millions of frames per second, surpassing traditional methods. The review covers improvements in imaging resolution and sensitivity, applications in various fields, and future trends, including integration with artificial intelligence and deep learning, system miniaturization, and bandwidth extension. The authors also discuss the physical limits of current systems and the need for calibration to address wavelength-induced variations.

The study presents a coherent frequency-modulated continuous-wave (FMCW) photonic radar system designed to determine the range information of a stationary target under various atmospheric conditions and solar background noise. The system's performance, analyzed using OptiSystem software and MATLAB, is evaluated in terms of signal-to-noise ratio. The findings indicate that solar noise can significantly degrade the performance of photonic radar systems, which also depends on the Sun's position and sky conditions. The proposed system achieves a range resolution of 5 meters at a target range of 500 meters under clear weather conditions with an acceptable signal-to-noise ratio, making it robust for practical applications such as automotive vehicle systems and navigation.

The study demonstrates the inscription of 8°-tilted fiber Bragg gratings in single-mode step-index TOPAS/ZEONEX polymer optical fibers using a 520 nm femtosecond laser and line-by-line writing technique. The resulting gratings exhibit a large spectral range of cladding mode resonances and high refractive index sensitivity, making them suitable for (bio)chemical sensing in various media. This work is notable for being the first to produce such gratings in polymer optical fibers that operate within the refractive index range of aqueous solutions.

The article presents a study on the simultaneous measurement of refractive index and temperature using a side-polish and V-groove plastic optical fiber surface plasmon resonance (SPR) sensor. The research involves contributions from multiple institutions in China, Belgium, and Portugal, highlighting the collaborative nature of the work. The findings are significant for advancements in optical fiber sensor technology, particularly in applications requiring precise refractive index and temperature measurements.

Researchers developed a candle soot-based fiber optoacoustic emitter (CSFOE) that provides high-precision neural stimulation with high optoacoustic conversion efficiency. The CSFOE was optimized through simulation and experiment to generate over 15 MPa peak-to-peak pressure, enabling successful neuron activation and dual-site stimulation. This advancement opens up potential applications in complex animal behavior studies and offers a new tool for effective neuron stimulation with the ability to control multiple target sites in the brain's circuitry. The study was supported by the Brain Initiative R01 NS109794 and conducted by authors affiliated with Boston University.

The article presents a cost-effective and efficient fiber Bragg grating (FBG) interrogation method using ultra-short FBGs (USFBGs) as edge filters in both silica and polymer optical fibers. The proposed method addresses the challenge of cross-sensitivity effects in FBGs, particularly from strain and temperature variations, by using USFBGs with similar thermal sensitivities to standard FBGs. The study demonstrates the production of USFBGs with desirable filtering characteristics and highlights their potential for dynamic measurements and multiplexing capabilities. The research shows that this configuration can operate without expensive equipment or complex calculations, making it suitable for various sensing applications.

Distributed acoustic sensing (DAS) technology, utilizing optical fibers to record vibration signals, shows promise for urban traffic monitoring. A study conducted in Hangzhou, China, developed a fast workflow for real-time DAS data processing to enhance car signal detection and suppress noise. The processed data demonstrated the ability to estimate traffic speed and volume, highlighting DAS's potential for precise and convenient city traffic monitoring. The study suggests further development of quantitative methods for individual car analysis and emphasizes the importance of efficient data processing workflows for real-time applications.

The article discusses the use of femtosecond laser technology to inscribe Bragg gratings in BDK-doped step-index PMMA optical fibers. The research involves collaboration between multiple institutions, including Shantou University, The Hong Kong Polytechnic University, Beijing Normal University, and the University of Mons. The study focuses on advancements in optical fiber technology and laser inscription techniques.