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Highly pathogenic avian influenza viruses (HPAIVs) have caused major economic losses in the poultry industry and are a major threat to public health. Since the first detection of HPAIV A(H5N1) [...]

Aim: To evaluate the potential association between suicidality and glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs), as well as other medications used for obesity and diabetes, using comprehensive global data. Materials and Methods: This study utilized the World Health Organization's pharmacovigilance database, encompassing adverse drug reaction reports from 1967 to 2023, from 170 countries (total reports, N = 131 255 418). We present the reported odds ratios (RORs) with 95% confidence intervals (CIs) and information component (IC) with IC025 regarding the association between GLP‐1RA use and suicidality. Results: Although reports of GLP‐1RA‐associated suicidality increased gradually from 2005 to 2023 (n = 332), no evidence of an association was observed (ROR 0.15 [95% CI 0.13 to 0.16]; IC −2.77 [IC025 −2.95]). The lack of evidence of an association persisted regardless of whether GLP‐1RAs were used for diabetes treatment (ROR 0.13 [95% CI 0.11 to 0.14]; IC −2.95 [IC025 −3.14]) or obesity treatment (ROR 0.44 [95% CI 0.34 to 0.58]; IC −1.16 [IC025 −1.62]). However, an association was found between suicidality and other diabetes medications excluding GLP‐1RAs (ROR 1.13 [95% CI 1.10 to 1.15]; IC 0.17 [IC025 0.13]). Similarly, the potential association with suicidality was observed in medications used to treat obesity excluding GLP‐1RAs (ROR 1.08 [95% CI 1.01 to 1.14]; IC 0.10 [IC025 0.01]). Conclusions: The suspected association between GLP‐1RA use and suicidality, as raised by the European Medicines Agency, was not found in our global analysis. This indicates that the sporadic reports of GLP‐1RA‐associated suicidality are likely influenced by factors such as comorbidities present in the GLP‐1RA user population. [ABSTRACT FROM AUTHOR]

Three-dimensional(3D) shape measurement using point clouds has recently gained significant attention. Phase measuring profilometry (PMP) is widely preferred for its robustness against external lighting changes and high-precision results. However, PMP suffers from long computation times due to complex calculations and its high memory usage. It also faces a 2π ambiguity issue, as the measured phase is limited to the 2π range. This is typically resolved using dual-wavelength methods. However, these methods require separate measurements of phase changes at two wavelengths, increasing the data processing volume and computation times. Our study addresses these challenges by implementing a 3D shape measurement system on a System-on-Chip (SoC)-type Field-Programmable Gate Array (FPGA). We developed a PMP algorithm with dual-wavelength methods, accelerating it through high-level synthesis (HLS) on the FPGA. This hardware implementation significantly reduces computation time while maintaining measurement accuracy. The experimental results demonstrate that our system operates correctly on the SoC-type FPGA, achieving computation speeds approximately 11.55 times higher than those of conventional software implementations. Our approach offers a practical solution for real-time 3D shape measurement, potentially benefiting applications in fields such as quality control, robotics, and computer vision. [ABSTRACT FROM AUTHOR]

Objectives: This consensus was developed by the Asian EUS Group (AEG), who aimed to formulate a set of practice guidelines addressing various aspects of endoscopic ultrasound‐guided tissue acquisition (EUS‐TA). Methods: The AEG initiated the development of consensus statements and formed an expert panel comprising surgeons, gastroenterologists, and pathologists. Three online consensus meetings were conducted to consolidate the statements and votes. The statements were presented and discussed in the first two consensus meetings and revised according to comments. Final voting was conducted at a third consensus meeting. The Grading of Recommendations, Assessment, Development, and Evaluation system was adopted to define the strength of the recommendations and quality of evidence. Results: A total of 20 clinical questions and statements regarding EUS‐TA were formulated. The committee recommended that fine‐needle biopsy (FNB) needles be preferred over conventional fine‐needle aspiration (FNA) needles for EUS‐TA of subepithelial lesions. For solid pancreatic masses, rapid on‐site evaluation is not routinely recommended when FNB needles are used. For dedicated FNB needles, fork‐tip and Franseen‐tip needles have essentially equivalent performance. Conclusion: This consensus provides guidance for EUS‐TA, thereby enhancing the quality of EUS‐TA. [ABSTRACT FROM AUTHOR]

Ensemble species distribution modeling offers a robust approach to reduce the inherent uncertainties associated with single models, and ultimately providing more accurate predictions of regions with a heightened probability of occurrence. As Corythucha ciliata (Say) damages deciduous trees in diverse environments, including urban, suburban and forested regions, the objective of this study was to predict the potential distribution of C. ciliata by developing an ensemble model that comprehensively considered the biological and habitat traits of the pest using the CLIMEX and MaxEnt models. Although the ensemble model did not have significantly improved performance, compared with the single MaxEnt model, it was robust compared with distribution data. Our predictions suggest that C. ciliata will gradually expand its range from its current distribution in response to climate change, necessitating focused monitoring and pest‐control efforts in the predicted regions. This study not only evaluates pest distribution but also provides crucial insights into effective control strategies, which are adaptable to other pest management scenarios. [ABSTRACT FROM AUTHOR]

There is a need to design a hardware synapse array appropriate for enhancing the efficiency of neuromorphic computing systems while minimizing energy consumption. This study introduces a memristor device with an AlOx overshoot suppression layer (A‐OSL) to achieve a self‐compliance effect. By optimizing each cell within the 16 × 16 crossbar array, synaptic devices are successfully fabricated with reliable characteristics and 3‐bit multilevel capabilities. In addition, the oxygen composition of TiOx and the annealing conditions are optimized to reduce the forming voltage and minimize the variation in the switching voltage. As a result, stable forming‐free characteristics are obtained through A‐OSL insertion, a reduction in forming voltage, and TiOx oxygen composition optimization. Also, target weights are accurately transferred to the A‐OSL memristor crossbar array and conducted the inference process by applying spike signals to the array following the designated time step. The spiking neural network (SNN) is demonstrated by measuring vector‐matrix multiplication (VMM) of the 16 × 16 crossbar array. The VMM results exhibit a classification accuracy of 90.80% for the MNIST dataset, which is close to the accuracy achieved by software‐based approaches, amounting to 91.85%. [ABSTRACT FROM AUTHOR]