Browse Articles

Detection and recognition of foreign objects in Pu-erh Sun-dried green tea using an improved YOLOv8 based on deep learning

The quality and safety of tea food production is of paramount importance. In traditional processing techniques, there is a risk of small foreign objects being mixed into Pu-erh sun-dried green tea, which directly affects the quality and safety of the food. To rapidly detect and accurately identify these small foreign objects in Pu-erh sun-dried green tea, this study proposes an improved YOLOv8 network model for foreign object detection. The method employs an MPDIoU optimized loss function to enhance target detection performance, thereby increasing the model’s precision in targeting. It incorporates the EfficientDet high-efficiency target detection network architecture module, which utilizes compound scale-centered anchor boxes and an adaptive feature pyramid to achieve efficient detection of targets of various sizes. The BiFormer bidirectional attention mechanism is introduced, allowing the model to consider both forward and backward dependencies in sequence data, significantly enhancing the model’s understanding of the context of targets in images. The model is further integrated with sliced auxiliary super-inference technology and YOLOv8, which subdivides the image and conducts in-depth analysis of local features, significantly improving the model’s recognition accuracy and robustness for small targets and multi-scale objects. Experimental results demonstrate that, compared to the original YOLOv8 model, the improved model has seen increases of 4.50% in Precision, 5.30% in Recall, 3.63% in mAP, and 4.9% in F1 score. When compared with the YOLOv7, YOLOv5, Faster-RCNN, and SSD network models, its accuracy has improved by 3.92%, 7.26%, 14.03%, and 11.30%, respectively. This research provides new technological means for the intelligent transformation of automated color sorters, foreign object detection equipment, and intelligent sorting systems in the high-quality production of Yunnan Pu-erh sun-dried green tea. It also provides strong technical support for the automation and intelligent development of the tea industry.

Next-generation diabetes diagnosis and personalized diet-activity management: A hybrid ensemble paradigm

Diabetes, a chronic metabolic condition characterised by persistently high blood sugar levels, necessitates early detection to mitigate its risks. Inadequate dietary choices can contribute to various health complications, emphasising the importance of personalised nutrition interventions. However, real-time selection of diets tailored to individual nutritional needs is challenging because of the intricate nature of foods and the abundance of dietary sources. Because diabetes is a chronic condition, patients with this illness must choose a healthy diet. Patients with diabetes frequently need to visit their doctor and rely on expensive medications to manage their condition. It is challenging to purchase medication for chronic illnesses on a regular basis in underdeveloped nations. Motivated by this concept, we suggest a hybrid model that, rather than depending solely on medication to evade a visit to the doctor, can first anticipate diabetes and then suggest a diet and exercise regimen. This research proposes an optimized approach by harnessing machine learning classifiers, including Random Forest, Support Vector Machine, and XGBoost, to develop a robust framework for accurate diabetes prediction. The study addresses the difficulties in predicting diabetes precisely from limited labeled data and outliers in diabetes datasets. Furthermore, a thorough food and exercise recommender system is unveiled, offering individualized and health-conscious nutrition recommendations based on user preferences and medical information. Leveraging efficient learning and inference techniques, the study achieves a meager error rate of less than 30% using an extensive dataset comprising over 100 million user-rated foods. This research underscores the significance of integrating machine learning classifiers with personalized nutritional recommendations to enhance diabetes prediction and management. The proposed framework has substantial potential to facilitate early detection, provide tailored dietary guidance, and alleviate the economic burden associated with diabetes-related healthcare expenses.

Opening the digital doorway to sexual healthcare: Recommendations from a behaviour change wheel analysis of barriers and facilitators to seeking online sexual health information and support among underserved populations

Background The ability to access and navigate online sexual health information and support is increasingly needed in order to engage with wider sexual healthcare. However, people from underserved populations may struggle to pass though this “digital doorway”. Therefore, using a behavioural science approach, we first aimed to identify barriers and facilitators to i) seeking online sexual health information and ii) seeking online sexual health support. Subsequently, we aimed to generate theory-informed recommendations to improve these access points. Methods The PROGRESSPlus framework guided purposive recruitment (15.10.21–18.03.22) of 35 UK participants from diverse backgrounds, including 51% from the most deprived areas and 26% from minoritised ethnic groups. Using semi-structured interviews and thematic analysis, we identified barriers and facilitators to seeking online sexual health information and support. A Behaviour Change Wheel (BCW) analysis then identified recommendations to better meet the needs of underserved populations. Results We found diverse barriers and facilitators. Barriers included low awareness of and familiarity with online information and support; perceptions that online information and support were unlikely to meet the needs of underserved populations; overwhelming volume of information sources; lack of personal relevancy; chatbots/automated responses; and response wait times. Facilitators included clarity about credibility and quality; inclusive content; and in-person assistance. Recommendations included: Education and Persuasion e.g., online and offline promotion and endorsement by healthcare professionals and peers; Training and Modelling e.g., accessible training to enhance searching skills and credibility appraisal; and Environmental Restructuring and Enablement e.g., modifications to ensure online information and support are simple and easy to use, including video/audio options for content. Conclusions Given that access to many sexual health services is now digital, our analyses produced recommendations pivotal to increasing access to wider sexual healthcare among underserved populations. Implementing these recommendations could reduce inequalities associated with accessing and using online sexual health service.

Digital measurement of ocular microtremor in Parkinson’s disease: Protocol for a pilot study to assess reliability and clinical validation

Ocular microtremor (OMT) is a fixational eye movement that cannot be seen with the naked eye but is always present, even when the eye appears motionless/still. The link between OMT and brain function provides a strong rationale for investigation as there lies potential for its use as a biomarker in populations with neurological impairments. OMT frequency is typically 70-80Hz in healthy adults and research suggests that this will be reduced in those with neurological disease such as Parkinson’s Disease (PD). This study aims to examine OMT in people with PD compared to healthy older adults. This is an exploratory, observational study that will use a novel handheld device–The iTremor ONE, which has been developed to rapidly, non-invasively assess and evaluate OMT frequency. This device uses incident laser technology directed at the sclera. People with PD who meet the inclusion criteria will participate in a home-based assessment involving cognitive, motor (using the UPDRS-III) and OMT measures. With OMT as the primary outcome, assessment with the iTremor is quick, taking just three seconds to obtain a reading. People with PD will be invited into the laboratory to perform extensive cognitive assessments along with an assessment of balance, gait, and turning using wearable sensors. People with PD will be assessed both off, and on, their anti-parkinsonian medication following a 12 hour washout period. We will recruit 30 People with PD, 30 people with suspected PD and 30 age-matched healthy control participants for assessment of OMT. 20 People with PD will complete a test-retest reliability assessment at the same approximate time, exactly one week after their initial visit under the same conditions to explore consistency. This will be the first study of its kind to non-invasively investigate OMT frequency as a marker/monitor for PD with advanced technology that could be used within the clinic, laboratory, or home. Identifying OMT as a PD biomarker could better support clinical assessment, enabling improved provision of care to patients with advanced disease monitoring. Clinical trial registration: This trial is registered at clinicaltrials.gov (NCT06051877; September 2023).

Hydrogen decreases susceptibility to AngII-induced atrial fibrillation and atrial fibrosis via the NOX4/ROS/NLRP3 and TGF-β1/Smad2/3 signaling pathways

Atrial fibrillation (AF) represents the commonly occurring cardiac arrhythmia and the main factor leading to stroke and heart failure. Hydrogen (H2) is a gaseous signaling molecule that has the effects of anti-inflammation and antioxidation. Our study provides evidence that hydrogen decreases susceptibility to AngII-mediated AF together with atrial fibrosis. Following continuous AngII administration for a 28-day period, AngII+H2 treated rats showed decreased susceptibility to AF, a decrease in atrial fibrosis, a decrease in ROS in atrial myocytes, an inhibition of NLRP3 inflammasome activation, an improvement in electrical remodeling, and an inhibition of proliferation and migration of cardiac fibroblasts. We further found that hydrogen regulates the activation of inflammasome and thus improves Ca2+ handling and IKAch and IKur by inhibiting the activity of NOX4 in vivo. In addition, hydrogen was involved in AngII-mediated atrial fibrosis through inhibiting TGF-β1/Smad2/3 pathway through suppressing TGF-β1 activation and secretion in vivo. Our findings suggest that hydrogen is important for preventing and treating AngII-mediated AF and atrial fibrosis, suggesting that hydrogen could be used as the candidate way to prevent and treat AF.

Effect of music therapy on behavioral and physiological neonatal outcomes: A systematic review and dose-response meta-analysis

Background Previous studies have documented the effectiveness of music therapy in improving adverse neonatal outcomes in premature infants. However, this review aims to address the question of how long listening to music can enhance these neonatal outcomes. Methods To conduct this dose-response meta-analysis, we searched the PubMed, Scopus, Web of Science, and Cochrane Library databases. The inclusion criteria comprised randomized clinical trials that investigated the effects of music therapy on improving adverse neonatal outcomes. Preterm infants were defined as those born between 27 and 37 weeks of gestation, as fetuses are known to respond to auditory stimuli starting at the 27th week of pregnancy. The initial search was performed on January 28, 2024, and there were no restrictions on the time frame for the search. Ultimately, we employed a two-stage random effects model using the “drmeta” package in Stata software to perform this dose-response meta-analysis. Results In total, 30 articles (1855 participants) were identified for inclusion in our meta-analysis. According to pooled analysis with each minute increase in music therapy, the means of respiratory rate, pain score, SBP, DBP, behavioral score, and body temperature decrease by 35.3 beats per minutes, 15.3 VAS, 30.7 mmHg, 8.9 mmHg, 2.7, and 0.27°C. On the other hand, with each minute increase in listening to the music, the mean of O2 saturation, heart rate and sleep duration increase 1.7%, 89.2 beats per minutes and 5.081 minutes per day, respectively. Conclusion Music therapy improves the neonatal outcomes of O2 saturation, heart rate, respiratory rate, sleep duration, body temperature and systolic and diastolic blood pressures. Therefore, the existence of a dose-response relationship can indicate a causal relationship between music therapy and the improvement of neonatal outcomes.

Study on the path of clustering construction of rural primary schools’ aesthetic education programs from the perspective of resource integration

Aesthetic education is an important part of the overall development of students. This study analyzes the number of rural schools and enrollment, number of classes, and number of full-time teachers in those schools from 2013 to 2022, and clarifies the current challenges in aesthetic education in rural elementary schools and the path of quality improvement. It then constructs a curriculum cluster model that shares resources, teachers, management, instructional design, and practical activities, etc. The results find that (1) the number of rural primary schools in 2013–2022 shows a decreasing trend, and in 2022 there was a 45.77% decrease relative to 2013. The number of rural elementary schools in 2022 shows a decreasing trend, and the relative decrease in 2022 compared with 2013 is 45.77%. From 2013 to 2022, the number of elementary schools in rural areas was more than 50% of the total number of elementary schools. Rural elementary schools in China are scattered, the distribution rate of aesthetic education resources is low, and it is difficult to popularize high-quality aesthetic education resources. (2) The number of classes in China’s rural elementary schools decreased 30.28% from 1.139 million in 2013 to 788,000 in 2022. The small size of rural schools, small number of teaching classes, and small number of students lead to less investment in resources for schools to offer aesthetic education, and the integration of collective public art courses cannot be realized. (3) Using the model of a “two-dimensional aesthetic education curriculum cluster,” we can improve the high-quality development of aesthetic education in rural schools. (4) The design path of the aesthetic education curriculum clusters focuses on the implementation and implantation of teaching objectives, teaching design and teaching process by grade, and links interest activities, nature and social observation activities, etc. Organically with aesthetic education. This study can thereby an effective path for the improvement of the quality of aesthetic education in rural elementary schools and the high-quality development of aesthetic education in rural schools.

Temporal trends in aerobic physical activity guideline adherence among nationally representative samples of U.S adults between 2011 and 2019: Cross-sectional findings from a sample of over 2 million adults

Background Physical inactivity is a significant public health concern associated with numerous adverse health outcomes and substantial economic costs. This study describes the prevalence, trends and correlates for adherence to moderate to vigorous physical activity (MVPA) guidelines among a large sample of U.S. adults. Methods Data from the 2011, 2013, 2015, 2017, and 2019 Behavioral Risk Factor Surveillance System surveys were analyzed. Self-reported MVPA was assessed by the same item across each survey. Population-weighted prevalence was calculated for meeting MVPA guidelines (150+ mins/wk). Adjusted prevalence ratios for reporting sufficient MVPA across sociodemographic, behavioral and health variables were calculated by multivariate Poisson regression. Results Data was available for 2,052,288 respondents (≥ 18 years). Across the surveys, the prevalence of sufficient MVPA fluctuated but remained between 49.5% and 51.1%. Among those aged 18 to 24, the prevalence of sufficient MVPA declined between surveys, from 56.5% in 2011 to 49.7% in 2019. Notable correlates of adhering to guidelines included male sex, higher education, former and never smokers, normal body mass index and increased fruit and vegetable consumption. Conclusion From 2011 to 2019, approximately half of US adults reported sufficient MVPA, with a steady decline observed among young adults. While many identified correlates of adhering to PA guidelines were observed, this study has provided further evidence for correlates that had previously provided inconsistent or inconclusive results. These findings emphasize the complexity of addressing physical inactivity and the importance of multifaceted public health strategies tailored to diverse populations.

A universal high voltage SF6 circuit breaker for HVDC and HVAC systems

Abstract High voltage alternating current (HVAC) and high voltage direct current (HVDC) transmission systems have acted as the pillars for the transmission field in power networks. Thus, two types of circuit breakers (CBs) existed; HVDC-CB and HVAC-CB. This imposed a burden on manufacturers by requiring them to set up a separate production line for each type of them, increasing production time and overall cost. This paper proposes a solution for this problem by combing both types into a single universal frame termed as UHAD-CB that could be utilized in both systems. Achieving this aim would reduce the manufacturing obstacles and benefit the entire industry. The proposed UHAD-CB was based on the structure of HVDC-CB which utilizes SF6 interrupter equipped with shunt L-C branch. The UHAD-CB is tested in both HVDC and HVAC systems and the results proved its reliability in both systems. The evaluation analysis for the performance of UHAD-CB showed its ability to reduce the transient recovery voltage by 28% in comparison to conventional HVAC-CB. This increase in performance rates allowed the usage of SF6 interrupter with lower cooling power than that for HVAC-CB which compensates for the added cost for L-C branch. In addition, the overall reduction in cost from the manufacturing point of view would add to that benefit. Finally, the optimum L and C values were found to be in range of 0.1 mH and 50 µF respectively for the selected systems.

Endonuclease G promotes hepatic mitochondrial respiration by selectively increasing mitochondrial tRNA ^Thr production

Mitochondrial endonuclease G (EndoG) contributes to chromosomal degradation when it is released from mitochondria during apoptosis. It is presumed to also have a mitochondrial function because EndoG deficiency causes mitochondrial dysfunction. However, the mechanism by which EndoG regulates mitochondrial function is not known. Fat accumulation in metabolic dysfunction–associated steatotic liver disease (MASLD), which is more common in men, is caused in part by mitochondrial dysfunction. EndoG expression is reduced in MASLD liver, and EndoG deficiency causes MASLD in an obesity-independent manner but only in males. EndoG promotes mitochondrial respiration by resolving mitochondrial tRNA/DNA hybrids formed during mtDNA transcription by recruiting RNA helicase DHX30 to unwind them. EndoG also cleaves off the 3′-end of the H-strand transcript that can prevent mt-tRNA Thr precursor cloverleaf-folding, and processing, which increases mt-tRNA Thr production and mitochondrial translation. Using fluorescent lifetime imaging microscopy technology to visualize oxygen consumption at the individual mitochondrion level, we found that EndoG deficiency leads to the selective loss of a mitochondrial subpopulation with high-oxygen consumption. This defect was reversed with mt-tRNA Thr supplementation. Thus, EndoG promotes mitochondrial respiration by selectively regulating the production of mt-tRNA Thr in male mice.

Association of metformin use with risk and survival outcome of esophageal cancer in patients with diabetes: A systematic review and meta-analysis

The purpose of this study was to conduct a systematic review and meta-analysis to investigate the association between the utilization of metformin and the occurrence and survival rate of esophageal cancer (EC) in individuals with diabetes. Methods: A systematic review and a meta-analysis were performed. Related literature was searched from databases, including PubMed, Embase, Web of Science, and Cochrane Library, covering the period from the inception of these databases until July 2023. Results: A total of 16 studies were eligible, including twelve reporting incidences of EC and four reporting OS of EC patients. The combined findings revealed a significant association between the use of metformin and a lower risk of EC (OR, 0.87, P = 0.04). Furthermore, metformin could significantly prolong the OS time (HR, 0.87, P = 0.002). In analyses stratified by treatment modalities, metformin combined with surgery and neoadjuvant chemoradiotherapy presented the strongest protective effect on EC patients with diabetes (HR, 0.38, P = 0.003). Conclusion: Our meta-analysis indicated that the use of metformin might reduce the EC incidence and improve the OS in EC patients with diabetes.

Vestibular patients generate more regular head movements than healthy individuals during gaze-stabilization exercises

The relationship between physical education teachers’ competence support and middle school students’ participation in sports: A chain mediation model of perceived competence and exercise persistence

This study explores the relationship between physical education teachers’ support and middle school students’ participation in sports. It also clarifies this relationship’s mediating roles of perceived competence and exercise persistence. A questionnaire survey involved 879 Chinese middle school students, consisting of 434 males and 445 females. The results indicate a significant positive correlation between teachers’ competence support and students’ participation in sports (p < 0.01). Perceived competence and exercise persistence as important mediators between teachers’ competence support and students’ involvement in sports, with the mediation effect comprising independent mediation by perceived competence and exercise persistence and a chain mediation effect involving both. The effect value was 0.156, with contributions of 60.4%, 43.6%, and 73.1% to the total mediating effect, respectively. In physical education courses, teachers should enhance their competence to support students, increase students’ interest in learning, and promote the development of sports participation. By understanding the predictive roles of teacher support, perceived competence, and exercise persistence on sports participation, strategies can be developed to better enhance students’ levels of participation in physical activities, thereby improving their beliefs about physical health and their confidence in exercising.

Prediction of ischemic stroke in patients with H-type hypertension based on biomarker

Effects of the pan-caspase inhibitor Q-VD-OPh on human neutrophil lifespan and function

Human neutrophils are abundant, short-lived leukocytes that turn over at a rate of approximately 1011 cells/day via a constitutive apoptosis program. Certain growth factors, inflammatory mediators and infectious agents can delay apoptosis or induce neutrophils to die by other mechanisms. Nonetheless, a large body of data demonstrates that apoptosis of untreated neutrophils typically ensues within 24 hours of cell isolation and in vitro culture. At the molecular level apoptosis is driven by executioner caspase-3, and during this process cell proinflammatory capacity and host defense functions are downregulated. We undertook the current study to determine the extent to which human neutrophil viability and function could be prolonged by treatment with the non-toxic, irreversible, pan-caspase inhibitor Q-VD-OPh. Our data demonstrate that a single 10 μM dose of this drug was sufficient to markedly prolong cell lifespan. Specifically, we show that apoptosis was prevented for at least 5 days as indicated by analysis of nuclear morphology, DNA fragmentation, and phosphatidylserine externalization together with measurements of procaspase-3 processing and caspase activity. Conversely, mitochondrial depolarization declined despite abundant Myeloid Cell Leukemia 1 (MCL-1). At the same time, glutathione levels were maintained and Q-VD-OPh prevented age-associated increases mitochondrial oxidative stress. Regarding functional capacity, we show that phagocytosis, NADPH oxidase activity, chemotaxis, and degranulation were maintained following Q-VD-OPh treatment, albeit to somewhat different extents. Thus, a single 10 μM dose of Q-VD-OPh can sustain human neutrophil viability and function for at least 5 days.

Holographic inspired high-performance circular polarized spoof surface plasmon polariton leaky-wave antenna excited by a novel launcher

Abstract The holographic technique is one of the simplest methods for designing antennas based on metasurface. This paper presents a spoof surface plasmon polariton (SSPP) leaky-wave antenna (LWA) based on the concept of impedance modulated metasurfaces by the anisotropic holographic technique. Instead of parasitic elements, anisotropic SSPP elements are exploited to achieve radiation with circular polarization. The characteristics of the SSPP elements are obtained by the aperture field estimate method. The hologram surface consists of hollow cross-bars unit cells. The anisotropy of each unit cell is achieved by combining the transformation optic method and the particle swarm optimization algorithm. A major challenge of the SSPP LWA based on modulated impedance surfaces is to find a suitable excitation technique. This study proposes a waveguide strip line launcher for excitation to minimize interference on the radiation pattern beam. The designed launcher provides a good impedance matching from 8 to 20 GHz, with an impedance bandwidth of 142%. The peak gain, radiation efficiency, axial ratio (AR) bandwidth, and side lobe level at the design frequency of 18 GHz are 19.7dBi, 93%, 11%, and − 12.1 dB, respectively. After optimizations and simulations are conducted using MATLAB and CST software, the proposed antenna is fabricated, and its radiation characteristics are measured. The measured results agree well with the simulated ones, indicating the high validity of the method.

Individual differences elucidate the perceptual benefits associated with robust temporal fine-structure processing

The auditory system is unique among sensory systems in its ability to phase lock to and precisely follow very fast cycle-by-cycle fluctuations in the phase of sound-driven cochlear vibrations. Yet, the perceptual role of this temporal fine structure (TFS) code is debated. This fundamental gap is attributable to our inability to experimentally manipulate TFS cues without altering other perceptually relevant cues. Here, we circumnavigated this limitation by leveraging individual differences across 200 participants to systematically compare variations in TFS sensitivity to performance in a range of speech perception tasks. TFS sensitivity was assessed through detection of interaural time/phase differences, while speech perception was evaluated by word identification under noise interference. Results suggest that greater TFS sensitivity is not associated with greater masking release from fundamental-frequency or spatial cues but appears to contribute to resilience against the effects of reverberation. We also found that greater TFS sensitivity is associated with faster response times, indicating reduced listening effort. These findings highlight the perceptual significance of TFS coding for everyday hearing.

The continuing search for a better mouse trap: Two tests of a practical, low-cost camera trap for detecting and observing small mammals

The advent of digital wildlife cameras has led to a dramatic increase in the use of camera traps for mammalian biodiversity surveys, ecological studies and occupancy analyses. For cryptic mammals such as mice and shrews, whose small sizes pose many challenges for unconstrained digital photography, use of camera traps remains relatively infrequent. Here we use a practical, low-cost small mammal camera platform (the “MouseCam”) that is easy and inexpensive to fabricate and deploy and requires little maintenance beyond camera service. We tested the MouseCam in two applications: a study of small mammal species composition on two transects across a barrier island and a study of small mammal occupancy along a subtle elevation gradient in a mainland forest. The MouseCam was reasonably efficient, with over 78% of all images containing a recognizable small mammal (mouse, vole, rat or shrew). We obtained an accurate estimate of species composition on the island transects, as indicated by comparison with both concurrent and long-term trapping records for the same transects. MouseCams required a smaller expenditure of personnel and transportation resources than would be required for live trapping. They also detected subtle elevation-related differences in species occupancy in the mainland forest for the marsh rice rat, with the species occurring at lower elevations in the forest. This is consistent with the typical occurrence of the marsh rice rat in marshes and wetlands. We also tested devices (barriers, runways) designed to reduce disturbance by mesopredators (e.g., raccoons). Adding an internal barrier to the MouseCam did not reduce use by white-footed mice, whereas adding an external runway did. We believe specialized small mammal camera-based sensors may have wide applicability in field studies of small mammal distribution, abundance and biology.

Identifying representative sequences of protein families using submodular optimization

Image segmentation with traveling waves in an exactly solvable recurrent neural network

We study image segmentation using spatiotemporal dynamics in a recurrent neural network where the state of each unit is given by a complex number. We show that this network generates sophisticated spatiotemporal dynamics that can effectively divide an image into groups according to a scene’s structural characteristics. We then demonstrate a simple algorithm for object segmentation that generalizes across inputs ranging from simple geometric objects in grayscale images to natural images. Using an exact solution of the recurrent network’s dynamics, we present a precise description of the mechanism underlying object segmentation in the network dynamics, providing a clear mathematical interpretation of how the algorithm performs this task. Object segmentation across all images is accomplished with one recurrent neural network that has a single, fixed set of weights. This demonstrates the expressive potential of recurrent neural networks when constructed using a mathematical approach that brings together their structure, dynamics, and computation.