Search Results (255)

Ammonia is a gas primarily produced for use in agriculture, refrigeration systems, chemical manufacturing, and power generation. Despite its benefits, improper management of ammonia poses significant risks to human health and the environment. Consequently, monitoring ammonia is essential for enhancing industrial safety and preventing leaks that can lead to environmental contamination. Given the abundance and diversity of studies on Internet of Things (IoT) systems for gas detection, the main objective of this paper is to systematically review the literature to identify emerging research trends and opportunities. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, focusing on sensor technologies, microcontrollers, communication technologies, IoT platforms, and applications. The main findings indicate that most studies employed sensors from the MQ family (particularly the MQ-135 and MQ-137), microcontrollers based on the Xtensa architecture (ESP32 and ESP8266) and ARM Cortex-A processors (Raspberry Pi 3B+/4), with Wi-Fi as the predominant communication technology, and Blynk and ThingSpeak as the primary cloud-based IoT platforms. The most frequent applications were agriculture and environmental monitoring. These findings highlight the growing maturity of IoT technologies in ammonia sensing, while also addressing challenges like sensor reliability, energy efficiency, and development of integrated solutions with Artificial Intelligence. Full article

We demonstrate coating-free optoacoustic generation and focusing of ultrasound using a mechanically Q-switched (MQS) erbium-doped yttrium aluminum garnet (Er:YAG) source (~100 ns, ≤20 mJ) combined with a concave water interface that simultaneously serves as converter and acoustic lens. Axial, lateral, and focal-point measurements mapped the pressure field while varying beam diameter (2w = 5–15 mm) and pulse energy (E = 10–20 mJ). The maximum focal positive pressure (P_max = 7 MPa) occurs at an intermediate diameter (~10 mm), whereas the tightest lateral/axial confinement and strongest spectral enhancement arise at larger diameters (14–15 mm) with f_c = ~5 MHz and −6 dB bandwidth up to 7 MHz. Pressure increases nearly monotonically with energy. For equal fluence, larger diameters yield higher focal pressures due to greater focusing gain. Small beams (2w ≈ 5–7 mm) show shorter apparent time-of-flight (TOF) and waveform broadening, consistent with early shock-like emission from locally vaporizing region. These results provide practical rules for tuning amplitude, spectrum, and confinement, enabling sub-millimeter focusing for contamination-sensitive and therapeutic applications. Full article

Background/Objectives: Motor coordination is the essential ability that influences children’s overall physical development and their ability to engage in various activities. The development of motor skills and coordination continues for several years, as it is a gradual process that extends beyond the early stages of walking. The study aimed to describe the differences in genders and physical activity levels using the Body Coordination Test for Children (KTK) test battery to assess motor coordination in kindergarten children. Methods: The sample consisted of 814 participants, including both sexes (aged 5.57 ± 0.49 years). Participants were divided into two groups according to their involvement in physical activity (OPA) or physical inactivity (NO OPA). OPA had to have a minimum of 2 days per week of additional organized training/lessons with at least 60 min. Results: The results show significant gender differences in walking backwards; girls outperformed boys with a statistically significant mean difference of −3.11 (p = 0.01; 95% CI: −4.57 to −1.64). Similarly, for total motor quotient (MQ), girls scored higher than boys, with a significant mean difference of −4.92 (p = 0.01; 95% CI: −7.85 to −1.99). The results revealed that the OPA group consistently outperformed the NO OPA group across all subtests, with significant differences in Total MQ (p = 0.01). Conclusions: Our study results indicated that physically active children demonstrated better motor coordination in comparison to their inactive peers. This suggests that regular physical activity positively influences motor coordination development in children. Full article

In the Red List of Threatened Species, released by International Union for Conservation of Nature (IUCN), Paphiopedilum helenae has been classified as an endangered species. It exhibits exceptional decorative value and germplasm resource potential. To elucidate the ecological adaptation of this species and the characteristics of its rhizosphere microbiome, bacterial 16S rRNA and fungal ITS sequences of three wild populations of P. helenae were investigated using Illumina high-throughput sequencing technology and the microbial community structures and diversities were systematically compared. These three populations were spanned across distinct geographical locations in Longzhou County, Guangxi. The results showed that the bacterial community in the rhizosphere soil of P. helenae comprised 31 phyla, primarily including Actinobacteriota, Proteobacteria, Chloroflexi and Acidobacteriota. On the other hand, the fungal community consisted of 10 phyla, dominated by Ascomycota and Basidiomycota. There were significant differences in the diversity of rhizosphere microbes across different populations of P. helenae. The LG population had the highest bacterial richness (Chao index: 2912.71 ± 131.73; p < 0.05) and diversity (Shannon index: 6.40 ± 0.06; p < 0.01), while the MQ population had the lowest diversity (Shannon index: 3.47 ± 0.24; p < 0.01) of fungi. The degree of variation in fungal β-diversity was significantly higher than that of bacteria. Soil organic matter (SOM) and available nitrogen (AN) contents were the core factors shaping the microbial communities in the rhizosphere soil of P. helenae, which jointly explained 49.87% and 16.39% of variations in the bacterial and fungal communities. Furthermore, population-specific enrichment of functionally significant microorganisms was evident. Population MQ was enriched with plant growth-promoting and stress-resistant fungi, such as Geminibasidium, Trichoderma, etc. Population LG was enriched with oligotrophic bacteria (e.g., Patescibacteria), while population SL exhibited an overwhelming dominance of Ascomycota (93.25%) and enrichment of pathogenic fungal genus Nigrospora. This research revealed the variations in the functional adaptation strategy of P. helenae and the microbial communities in the rhizosphere soils across different geographical locations. This suggests that microbial community imbalance in rhizosphere soil may be one of the factors leading to the endangerment of this plant species. The study proposed a differentiated protection strategy for endangered plant species based on microbial resources. The results provide a theoretical basis for development of a “microorganism-assisted protection” strategy for ecological restoration and sustainable utilization of endangered orchid plants. Full article

Background/Objectives: Stroke remains a leading cause of disability in Japan, and early mobilization is an important strategy to prevent muscle atrophy and promote independence. However, the optimal intensity and duration of early rehabilitation remain unclear. This study aims to examine the association between rehabilitation dose during the acute phase of stroke and functional outcomes at 90 days post-onset. Methods: This multicenter prospective cohort study will enroll patients from twelve acute care hospitals across Japan, beginning in June 2026. Eligible patients are aged ≥ 18 years, expected to be hospitalized for ≥7 days, and initiated rehabilitation by day 2 after stroke onset. Rehabilitation dose will be quantified using the Mobilization Quantification Score (MQS). The primary outcome is functional status measured by the modified Rankin Scale (mRS) at 90 days. Secondary outcomes include muscle atrophy assessed by ultrasound, the Barthel Index, and physical performance measures. Subgroup analyses will evaluate how stroke severity modifies the dose–response relationship. Results: As this is a study protocol, results are not yet available. The study is designed to clarify the relationship between early rehabilitation dose and functional recovery after stroke. Conclusions: This is the first large-scale Japanese study to assess early stroke rehabilitation dosage using a standardized tool. Findings are expected to provide evidence for individualized, evidence-based mobilization strategies to optimize functional outcomes in stroke patients. Full article

Real-time media streaming over publish–subscribe platforms is increasingly vital in scenarios that demand the scalability of event-driven architectures while ensuring timely media delivery. This is especially true in multi-modal and resource-constrained environments, such as IoT, Physical Activity Recognition and Measure (PARM), and Internet of Video Things (IoVT), where integrating sensor data with media streams often leads to complex hybrid setups that compromise consistency and maintainability. Publish–subscribe (pub/sub) platforms like Kafka and MQTT offer scalability and decoupled communication but fall short in supporting real-time video streaming due to platform-dependent design, rigid optimization, and poor sub-second media handling. This paper presents FrameMQ, a layered, platform-agnostic architecture designed to overcome these limitations by decoupling application logic from platform-specific configurations and enabling dynamic real-time optimization. FrameMQ exposes tunable parameters such as compression and segmentation, allowing integration with external optimizers. Using Particle Swarm Optimization (PSO) as an exemplary optimizer, FrameMQ reduces total latency from over 2300 ms to below 400ms under stable conditions (over an $80\%$ improvement) and maintains up to a $52\%$ reduction under adverse network conditions. These results demonstrate FrameMQ’s ability to meet the demands of latency-sensitive applications, such as real-time streaming, IoT, and surveillance, while offering portability, extensibility, and platform independence without modifying the core application logic. Full article

In the present work, a sensor network design for monitoring carbon dioxide (CO₂) pollution in Portoviejo City, Ecuador, is evaluated through a methodology that combines simulation and physical implementation. This methodology involves the development and evaluation of two scenarios: an initial scenario (A), developed through both physical implementation and simulation, and another simulation scenario (B). Both simulated scenarios are created using CupCarbon version 6.51 software. In these scenarios, the functionality of Wireless Sensor Networks (WSNs) is analyzed by implementing the LoRaWAN communication technology. Furthermore, the MQ-135 sensor is used to obtaining data on the PPM of (CO₂) in order to examine the areas that concentrate the most significant amount of this atmospheric pollutant. The proposed networks are evaluated using the packet loss metric during data transmission. After implementation, analysis, and respective evaluation, it can be concluded that the network simulated in Scenario B is suitable for monitoring (CO₂) and other pollutants that can be analyzed within the urban environment. Full article

Vision Transformer (ViT) has established itself as the leading model in image processing, and quantization offers a practical way to deploy ViTs on memory-constrained devices. This technique maps float32 inference to lower bits such as int8. However, existing studies often use uniform bit-width across ViT encoders, leading to sub-optimal allocation and accuracy loss. This study aims to optimize bit-width allocation by leveraging the observed variation in quantization sensitivity among different ViT encoders. We propose PoMQ-ViT, a method that dynamically assigns bit-width to ViT encoders based on their sensitivity. It uses Pareto Optimization to balance accuracy and inference speed. Experiments on the ImageNet Dataset show PoMQ-ViT outperforms uniform bit-width methods across DeiT and Swin models. Within the same computation budget, it also achieves 0.1–1.5 percentage points higher accuracy than other mixed-precision paradigms across different models. This work demonstrates PoMQ-ViT’s effectiveness in ViT quantization, providing a practical solution for resource-constrained deployments. Full article

Java Management Extensions (JMX) are indispensable for managing and administrating Java software solutions, yet when exposed through HTTP bridges such as Jolokia they can radically enlarge an application’s attack surface. This paper presents the first in-depth analysis of CVE-2022-41678, a vulnerability discovered by the authors in Apache ActiveMQ that combines Jolokia’s remote JMX access with Log4J2 management beans to achieve full remote code execution. Using a default installation testbed, we enumerate the Log4J MBeans surfaced by Jolokia, demonstrate arbitrary file read, file write, and server-side request–forgery primitives, and finally to leverage the file write capabilities to obtain a shell, all via authenticated HTTP(S) requests only. The end-to-end exploit chain requires no deserialization gadgets and is unaffected by prior Log4Shell mitigations. We have also automated the entire exploit process via proof-of-concept scripts on a stock ActiveMQ 5.17.1 instance. We discuss the broader security implications for any software exposing JMX-managed or Jolokia-managed Log4J contexts, provide concrete hardening guidelines, and outline design directions for safer remote-management stacks. The findings underscore that even “benign” management beans can become critical when surfaced through ubiquitous HTTP management gateways. Full article

This paper presents a case study on the integration of embedded IoT hardware with a modern Android application, demonstrated through the development of a compact autoclave system for small-scale food sterilization. The device is controlled by an ESP8266-based module and communicates securely with a Kotlin-based Android app via MQTT using HiveMQ. The app incorporates advanced Android design patterns such as coroutines, LiveData, Navigation UI, and DataStore. Each device is uniquely addressable and fully configurable from the mobile interface. The work highlights Android’s role as a powerful interface for managing embedded IoT systems. Full article

Artificial intelligence has shown great promise in advancing intelligent surgical systems. Among its applications, surgical video action recognition plays a critical role in enabling accurate intraoperative understanding and decision support. However, the task remains challenging due to the temporal continuity of surgical scenes and the long-tailed, semantically entangled distribution of action triplets composed of instruments, verbs, and targets. To address these issues, we propose TriQuery, a query-based model for surgical triplet recognition and classification. Built on a multi-task Transformer framework, TriQuery decomposes the complex triplet task into three semantically aligned subtasks using task-specific query tokens, which are processed through specialized attention mechanisms. We introduce a Multi-Query Decoding Head (MQ-DH) to jointly model structured subtasks and a Top-K Guided Query Update (TKQ) module to incorporate inter-frame temporal cues. Experiments on the CholecT45 dataset demonstrate that TriQuery achieves improved overall performance over existing baselines across multiple classification tasks. Attention visualizations further show that task queries consistently attend to semantically relevant spatial regions, enhancing model interpretability. These results highlight the effectiveness of TriQuery for advancing surgical video understanding in clinical environments. Full article

Poultry production exposes birds to diverse environmental and physiological stressors that disrupt redox balance, impair gut–liver axis function, and undermine health and productivity. This study investigated the hepatoprotective and antioxidative effects of mangosteen pericarp extract (MPE) in an experimental model of diquat-induced oxidative stress in laying hens. A total of 270 Hy-Line White laying hens were randomly assigned to three groups: control group (CON), diquat-challenged group (DQ), and MEP intervention with diquat-challenged group (MQ), with six replicates of 15 birds each. The results showed that MPE supplementation effectively mitigated the hepatic oxidative damage caused by diquat, as evidenced by the increased ALT and AST activity, improved lipid metabolism, and reduced hepatic fibrosis. Mechanistically, MPE activated the NRF2/HO-1 antioxidant pathway, thus enhancing the liver’s ability to counteract ROS-induced damage and reducing lipid droplet accumulation in liver tissue. MPE supplementation restored intestinal barrier integrity by upregulating tight junction protein expression (Occludin-1 and ZO-1), enhancing MUC-2 expression, and thereby decreasing gut microbiota-derived LPS transferring from the intestine. Additionally, MPE also modulated gut microbiota composition by enriching beneficial bacterial genera such as Lactobacillus and Ruminococcus while suppressing the growth of potentially harmful taxa (e.g., Bacteroidales and UCG-010). Fecal microbiota transplantation (FMT) from MPE-treated donors into diquat-exposed recipients reproduced these beneficial effects, further highlighting the role of gut microbiota modulation in mediating MPE’s systemic protective actions. Together, these findings demonstrated that MPE alleviated DQ-induced liver injury and oxidative stress through a combination of antioxidant activity, protection of intestinal barrier function, and modulation of gut microbiota, positioning MPE as a promising natural strategy for mitigating oxidative stress-related liver damage by regulating the gut microbiota and gut–liver axis in poultry. Full article

Most people utilize their time indoors, either at home or in the workplace. However, certain human interventions badly affect the indoor atmosphere, causing potential health problems for occupants. This study aims to propose an air monitoring device integrated with an air purifier that monitors the pollutants affecting the indoor environment and automatically turns on/off the air purifier based on the pollution level. In the system, MQ7, MQ2, DHT11, and GP2Y1010AU0F sensors are integrated with ESP32 to detect indoor air pollutants, e.g., carbon monoxide (CO), methane (CH₄), temperature, humidity, and PM2.5. Data were collected for 30 days by mounting a proposed device in different indoor locations, including a poorly ventilated average living room, an indoor kitchen, and a crowded office space. The emission of carbon monoxide (CO) and methane (CH₄) was at 29.4 ppm and 10.9 ppm, PM2.5 was detected as 3 µg/m³, and the temperature and humidity were at 23 °C and 28%, respectively. Utilizing the Wi-Fi ability of ESP32, the data were transferred to the ThingSpeak IoT platform for the live tracking and analysis of the indoor atmosphere. Observing the measured data, the proposed system’s accuracy was calculated by comparing the results against a known standard device, which was estimated to be 95%. To protect the designed system, a protective case was also designed. Full article

Ovarian cancer, the most lethal form of gynecological cancer worldwide with a poor prognosis, is largely driven by an immunosuppressive tumor microenvironment. In this study, we investigated the anticancer effects of hydnocarpin, a natural flavonolignan derived from the flowers of Pueraria lobata, focusing on its effects on ovarian cancer and tumor-associated immune cells, including ovarian cancer-stimulated macrophages (MQs) and T cells. Hydnocarpin exhibited potent cytotoxicity against multiple ovarian cancer cell lines but only minimal toxicity against normal ovarian surface epithelial cells. Mechanistically, hydnocarpin triggered caspase-dependent apoptosis, as evidenced by the activation of caspase-9 and -3, with limited involvement of caspase-8, indicating the activation of the intrinsic apoptotic pathway. Experimental data implicated reactive oxygen species generation as a key mediator of hydnocarpin cytotoxicity, and reactive oxygen species inhibition significantly inhibited this cytotoxicity. In addition to its direct tumoricidal effects, hydnocarpin reprogrammed the tumor-associated immune cells, ovarian cancer-stimulated macrophages and T cells, by downregulating the levels of M2 MQ markers and pro-tumoral factors (matrix metalloproteinase-2/9, C–C motif chemokine ligand 5, transforming growth factor-β, and vascular endothelial growth factor) and enhancing MQ phagocytosis. Additionally, hydnocarpin promoted T-cell activation (interferon-γ and interleukin-2) and reduced the expression levels of immune evasion markers (CD80, CD86, and VISTA). Overall, this study demonstrated the dual anti-tumor effects of hydnocarpin on both ovarian cancer cells and immunosuppressive immune components in the tumor microenvironment, highlighting its potential as a novel therapeutic candidate for ovarian cancer. Full article

Climbing demands exceptional isometric finger flexor strength and neuromuscular efficiency. This study aimed to compare maximum isometric strength and muscle quality (MQ) between climbers and non-climbers and examine the influence of sex and specific grip types. Methods: 33 climbers (14 women) and 29 non-climbers (15 women) volunteered in this study. Maximum isometric strength was measured for handgrip, three-finger drag, and half-crimp grips, while forearm muscle mass was estimated using DXA. MQ was calculated as the ratio of peak isometric force to forearm muscle mass. Results: Climbers demonstrated significantly higher isometric strength in both the three-finger drag and half-crimp grips compared to non-climbers (p < 0.01); however, non-significant differences were observed in handgrip strength. Despite similar forearm muscle mass, climbers exhibited greater MQ. Notably, female non-climbers showed higher MQ than their male counterparts (p < 0.05), a sex difference that was not evident among climbers. All tests exhibited high repeatability (ICC > 0.93, CV < 5.81%) with low SEM and MDC95 values. Conclusions: The findings underscore the necessity of employing climbing-specific strength assessments to capture the unique neuromuscular adaptations induced by climbing training. Muscle quality emerges as a sex-neutral biomarker for strength performance evaluation, with potential applications in the optimization of training programs. Future research should further explore the predictive value of MQ and strive for standardized testing protocols. Full article