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The severity of coronary heart disease and the incidence of later diabetic retinopathy in diabetic population: A retrospective cohort study
Objectives The coronary heart disease (CHD) can influence the development of several diseases. The presence of CHD is correlated to a higher incidence of concurrent diabetic retinopathy (DR) in previous study. Herein, we aim to analyze the relationship between the CHD severity and following DR with different severity. Methods A retrospective cohort study was conducted with the usage of Taiwan National Health Insurance Research Database (NHIRD). The CHD patients with DM were categorized into those with medical treatments and those received percutaneous coronary intervention (PCI) management with a 1:1 ratio. The major outcome was the development of DR, diabetic macular edema (DME) and proliferative diabetic retinopathy (PDR) 6 months after the onset of CHD. Results There was 7317, 316, and 386 episodes of DR, DME and PDR in the mild CHD groups and 8568, 411, and 508 events of DR, DME and PDR in the severe CHD groups, respectively. The severe CHD group showed a significantly higher incidence of DR (aHR: 1.063, 95% CI: 1.038–1.089, P = 0.0324), DME (aHR: 1.412, 95% CI: 1.252–1.594, P = 0.0092) and PDR (aHR: 1.314, 95% CI: 1.172–1.473, P = 0.0113) compared to the mild CHD group. The cumulative incidence of DR was significantly higher in the severe CHD group (P < 0.001). In the subgroup analysis, the association between CHD severity and DR was more prominent in the female population (P = 0.0224). Conclusions The severe CHD is associated with higher incidence of following DR, DME and PDR, while the incidence of DR in CHD is positively correlated to longer disease period.
Intersection between individual, household, environmental and system level factors in defining risk and resilience for children in Kenya’s ASAL: A qualitative study
Introduction Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges. However, there is limited comprehensive data on sources of risks and resilience in these children, particularly research that incorporates community perspectives and indigenous knowledge. Systematic documentation of factors influencing child outcomes is crucial for understanding the overall burden, informing policy and implementing targeted interventions. This study aimed at bridging this gap. Methods The study was conducted in 10 ASAL counties in Kenya. Purposive and snowballing techniques were used to recruit 11 key informants per site with varied levels of involvement in early childhood development and primary caregivers. Using a semi-structured interview guide, 103 telephonic interviews were conducted between June and August 2022, involving 68 key informants and 35 caregivers. Thematic approach was used to analyze the data, using NVIVO software. Results The mean age of the participants was 44years (SD = 11 years). The findings, viewed through the lens of Bronfenbrenner’s ecological systems theory, reveal a complex interplay of contextual factors impacting children’s development. These factors range from individual and biological aspects to family, community, systemic, and environmental level, including climatic challenges. Identified risk factors encompassed issues such as young caregiver’s age, low literacy, mental health issues, drug abuse, domestic violence, malnutrition, poverty, lack of paternal involvement, early marriages, female genital mutilation, drought, heat stress, and insecurity. Nonetheless, sources of resilience include breastfeeding, immunization, responsive caregiving, family and community support, higher socio-economic status (SES), cultural practices, self-motivation, hard work, community role models, religious activities and quality service provision. Conclusion Urgent attention is needed to address the multifaceted challenges faced by children in ASAL regions. The study underscores the importance of addressing the root causes of risks while harnessing community strengths and resources to safeguard and promote the holistic development of these children.
Composition and functional diversity of soil and water microbial communities in the rice-crab symbiosis system
Rice-crab co-culture is an environmentally friendly agricultural and aquaculture technology with high economic and ecological value. In order to clarify the structure and function of soil and water microbial communities in the rice-crab symbiosis system, the standard rice-crab field with a ring groove was used as the research object. High-throughput sequencing was performed with rice field water samples to analyze the species and abundance differences of soil bacteria and fungi. The results showed that the OTU richness and community diversity in soil were significantly higher than those in water, while there were significant differences in soil microbial diversity and OTU richness in water sediments. The dominant species at the bacterial phylum level were Amoebacteria, Cyanobacteria, Actinomycetes, Synechococcus and Greenbacteria, and at the genus level the dominant species were norank_f_norank_o_Chloroplast, unclassified_f_Rhodobacteraceae, LD29, Cyanobium_PCC-6307, and norank_f_MWH-UniP1_aquatic_group. The dominant species at the fungal phylum level are unclassified_k_Fungi, Ascomycota, Rozellomycota, Phaeomycota and Stenotrophomonas, and at the genus level the dominant species are unclassified_k_Fungi, unclassified_p_Rozellomycota, Metschnikowia, Cladosporium, unclassified_p_Chytridiomycota. The dominant phylum may rely on mechanisms such as organic matter catabolism, secretion of secondary metabolites and phototrophic autotrophy, as predicted by functional gene analysis. The main functional genes are related to metabolic functions, including secondary product metabolism, energy metabolism, and amino acid metabolism.
What are the challenges that social prescribers face when supporting people within dementia and how can these be addressed? A qualitative study
Introduction Evidence suggests that social prescribing might have a positive impact on identity, control, creativity and quality of life in people with dementia. While evidence on the benefits of social prescribing is accumulating, there is a sparsity of research on the experiences of social prescribers. This study aims to identify the challenges that social prescribers face when supporting people with dementia and their families and strategies to address these. Materials and methods A qualitative study involving 24 social prescribers from all regions in England. Semi-structured interviews investigated challenges and strategies that social prescribers experience in their own practice. Data were analysed through thematic analysis. Results on “Challenges” and the respective “Strategies” are presented in a chronological order that reflects the different stages of contact with and support for the client with dementia, from referral to discharge. Results and discussion This study identified unique barriers that social prescribers face when working with people with dementia, particularly around communication, motivation, engagement and overdependency. It identified person and system-level strategies that can be used to address these challenges. These include expanding opportunities for dementia training, offering in-person support, including social prescribing in annual dementia reviews, and increasing integration of services within Integrated Care Systems and collaborations between health care service providers and with the third sector. Improving delivery and effectiveness of services is crucial to ensure that social prescribing fulfils its ethos of personalised care approach for all, including people with dementia, as envisioned in the NHS long term plan.
Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill
In this study, we explored the biocultural mechanisms underlying ancient craft behaviours. Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. The advent of ceramic marked a profound change in the economy and socio-cultural dynamics of past societies. It may have also played a central role in developing new craft skills that influenced the neural plasticity of the potters. Coiling, one of the most widespread neolithic techniques, requires precise hand movements and the ability to regulate finger pressure to shape the clay without deformation. In a pilot study involving intensive training in neolithic pottery, we used TMS-EEG co-registration to monitor a group of participants and we examined the shape of the artefacts they made before and after training. Our findings suggest changes in the functional properties of the primary motor cortex (M1) responsible for the control and execution of actions. We also observed an improvement in symmetry and consistency of the artefacts and a significant reduction in errors. This multidisciplinary approach sheds light on the mechanisms of material culture’s variation in the archaeological field and provides promising insights into the co-evolution of technology and human skill.
FBXW7 metabolic reprogramming inhibits the development of colon cancer by down-regulating the activity of arginine/mToR pathways
FBXW7 is a tumor suppressor gene that regulates metabolism and is associated with the onset and progression of colorectal cancer (CRC)), however, the precise mechanism whereby FBXW7 participates in the metabolic reprogramming of CRC remains unclear. Here, the research aims to reveal the association between the expression of FBXW7 and clinical variables and to investigate the molecular mechanism by which FBXW7 plays a critical role in the development of CRC. The clinical importance of FBXW7 in CRC was determined by immunohistochemistry. Non-targeted metabolomics was utilized to explore the role of FBXW7 in the metabolic regulation of CRC. Low expression of FBXW7 was associated with poor prognosis in individuals with CRC, both at the mRNA and protein levels. FBXW7 over-expression inhibited CRC cell growth, colony formation, migration, and invasion. Non-targeted metabolomics unveiled that FBXW7 over-expression directly caused the deprivation of arginine which led to downmodulation of mTOR signaling pathway; meanwhile, FBXW7-related metabolites were primarily concentrated in the mTOR signaling pathway. In summary, the research identified a novel mechanism of action of FBXW7 in CRC. The research findings provide a theoretical foundation for the prognostic prediction and therapeutic planning of CRC based on metabolic reprogramming.
Unhealthy behaviours associated with uncontrolled hypertension among adults in India- Insights from a national survey
Background Non-communicable diseases (NCDs) are governed by a cluster of unhealthy behaviours and their determinants, like tobacco and alcohol, unhealthy diet, lack of physical activity, overweight and obesity, pollution (air, water, and soil), and stress. Regulation of these unhealthy behaviours plays a crucial role in blood pressure control among individuals on hypertensive treatment, especially those suffering from uncontrolled hypertension. Hence, the present study aims at identifying the unhealthy behaviours associated with uncontrolled hypertension. Materials and methods We did a secondary data analysis of the National Family Health Survey (NFHS) -5 data (2019–2021). Among those taking prescribed medication to lower blood pressure levels, SBP ≥140 mm Hg or DBP ≥90 mm Hg were considered uncontrolled hypertension. The other socio-demographic variables and unhealthy behaviours were used as independent variables for analysis. Results The proportion of uncontrolled hypertension was 49·5% (95% CI: 45·5–53·4) and 36·8% (95% CI: 35.8–37.8) among males and females, respectively. Alcohol consumption, clean fuel usage, and high BMI (≥30kg/m2) were the behavioural characteristics significantly associated with uncontrolled hypertension among males. In contrast, tobacco usage, alcohol consumption, coverage by Health insurance, presence of Diabetes, heart disease, usage of clean fuel, and high BMI (≥30kg/m2) were the behavioural characteristics significantly associated with uncontrolled hypertension among females. Regression results portrayed that higher age groups (45 and above) have found higher odds for men (OR: 7.6, CI: 4.6–12.3) and women (OR: 6.08, CI: 4.0–6.0) compared with 30 years and below age groups. Similarly, higher odds were found among the wealthiest wealth quintile than the poorest wealth quintile among men and women. Conclusion The current study reported a high proportion of uncontrolled hypertension. Providing opportunistic health education during blood pressure monitoring, regular screening, and targeted interventions will not only help to reduce its prevalence but also reduce the risk of developing related health implications.
Assessing the capture of sociodemographic information in electronic medical records to inform clinical decision making
There is a growing need to document sociodemographic factors in electronic medical records to produce representative cohorts for medical research and to perform focused research for potentially vulnerable populations. The objective of this work was to assess the content of family physicians’ electronic medical records and characterize the quality of the documentation of sociodemographic characteristics. Descriptive statistics were reported for each sociodemographic characteristic. The association between the completeness rates of the sociodemographic data and the various clinics, electronic medical record vendors, and physician characteristics was analyzed. Supervised machine learning models were used to determine the absence or presence of each characteristic for all adult patients over the age of 18 in the database. Documentation of marital status (51.0%) and occupation (47.2%) were significantly higher compared to the rest of the variables. Race (1.4%), sexual orientation (2.5%), and gender identity (0.8%) had the lowest documentation rates with a 97.5% missingness rate or higher. The correlation analysis for vendor type demonstrated that there was significant variation in the availability of marital and occupation information between vendors (χ2 > 6.0, P < 0.05). Variability in documentation between clinics indicated that the majority of characteristics exhibited high variation in completeness rates with the highest variation for occupation (median: 47.2, interquartile range: 60.6%) and marital status (median: 45.6, interquartile: 59.7%). Finally, physician sex, years since a physician graduated, and whether a physician was a foreign vs a Canadian medical graduate were significantly associated with documentation rates of place of birth, citizenship status, occupation, and education in the electronic medical records. Our findings suggest a crucial need to implement better documentation strategies for sociodemographic information in the healthcare setting. To improve completeness rates, healthcare systems should monitor, encourage, enforce, or incentivize sociodemographic data collection standards.
Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks
Bacterial Leaf Blight (BLB) usually attacks rice in the flowering stage and can cause yield losses of up to 50% in severely infected fields. The resulting yield losses severely impact farmers, necessitating compensation from the regulatory authorities. This study introduces a new pipeline specifically designed for detecting BLB in rice fields using unmanned aerial vehicle (UAV) imagery. Employing the U-Net architecture with a ResNet-101 backbone, we explore three band combinations—multispectral, multispectral+NDVI, and multispectral+NDRE—to achieve superior segmentation accuracy. Due to the lack of suitable UAV-based datasets for rice disease, we generate our own dataset through disease inoculation techniques in experimental paddy fields. The dataset is increased using data augmentation and patch extraction methods to improve training robustness. Our findings demonstrate that the U-Net model incorporating ResNet-101 backbone trained with multispectral+NDVI data significantly outperforms other band combinations, achieving high accuracy metrics, including mean Intersection over Union (mIoU) of up to 97.20%, mean accuracy of up to 99.42%, mean F1-score of up to 98.56%, mean Precision of 97.97%, and mean Recall of 99.16%. Additionally, this approach efficiently segments healthy rice from other classes, minimizing misclassification and improving disease severity assessment. Therefore, the experiment concludes that the accurate mapping of the disease extent and severity level in the field is reliable to accurately allocating the compensation. The developed methodology has the potential for broader application in diagnosing other rice diseases, such as Blast, Bacterial Panicle Blight, and Sheath Blight, and could significantly enhance agricultural management through accurate damage mapping and yield loss estimation.
Central venous pressure as a method of optimising atrio-ventricular delay after cardiac surgery
Introduction Haemodynamic atrioventricular delay (AVD) optimisation has primarily focussed on signals that are not easy to acquire from a pacing system itself, such as invasive left ventricular catheterisation or arterial blood pressure (ABP). In this study, standard clinical central venous pressure (CVP) signals are tested as a potential alternative. Methods Sixteen patients with a temporary pacemaker after cardiac surgery were studied. AV delay optimisation was performed by alternating between a reference AVD of 120ms and tested settings ranging from 40 to 280ms, with 8 replicates for each setting. Alongside (a) the raw data, three methods of correcting for respiration were tested: (b) limiting analysis to a respiratory cycle, (c) asymmetric least squares (ALS) and (d) discrete wavelet transform (DWT). The utility of a quality control step was tested. Results CVP signals were a mirror image of the systolic ABP signals: The four R values were -0.674, -0.692, -0.631, -0.671 respectively (all p<0.001). With quality control, the mirror image was best for DWT (R = -0.76, p<0.001), with the CVP and ABP optima agreeing well (R = 0.78, p<0.001). The automated quality control signal correctly predicted the gap between the AVD optima calculated from ABP and CVP (R = 0.8, p<0.001). Conclusions Central venous pressure signals could be used to optimise AVD, because they have a reliable inverse relationship with ABP when pacemaker settings undergo protocolised testing. However, protocols need careful design to circumvent spontaneous biological variability.
Exploring the impact of grazing on fecal and soil microbiome dynamics in small ruminants in organic crop-livestock integration systems
In integrated crop-livestock systems, livestock graze on cover crops and deposit raw manure onto fields to improve soil health and fertility. However, enteric pathogens shed by grazing animals may be associated with foodborne pathogen contamination of produce influenced by fecal-soil microbial interactions. We analyzed 300 fecal samples (148 from sheep and 152 from goats) and 415 soil samples (272 from California and 143 from Minnesota) to investigate the effects of grazing and the presence of non-O157 Shiga toxin-producing Escherichia coli (STEC) or generic E. coli (gEc) in fecal and soil microbiomes. We collected samples from field trials of three treatments (fallow, a cover crop without grazing (non-graze CC), and a cover crop with grazing (graze CC)) grazed by sheep or goats between 2020 and 2022. No significant differences in non-O157 STEC prevalence were found between pre- and post-grazing fecal samples in either sheep or goats. However, gEc was more prevalent in graze CC soils compared to fallow or non-graze CC soils. Alpha diversity was influenced by the species of grazing animals and the region, as sheep fecal samples and soil from the California trials had greater alpha diversity than goat fecal samples and soil from the Minnesota trials. Beta diversity in sheep fecal samples differed by the presence or absence of non-O157 STEC, while in goat fecal samples, it differed between pre- and post-grazing events. Actinobacteria was negatively associated with non-O157 STEC presence in sheep fecal samples and decreased in post-grazing goat fecal samples. Grazing did not significantly affect soil microbial diversity or composition, and no interaction was observed between post-grazing fecal samples and the graze CC soil. The results suggest that soil contamination by foodborne pathogens and microbiome dynamics in ICLS are influenced by grazing animal species and regional factors, with interactions between fecal and soil microbial communities having minimal impact.
Food groups, macronutrient intake and objective measures of total carotenoids and fatty acids in 16-to-24-year-olds following different plant-based diets compared to an omnivorous diet
Background Knowledge about the diet quality among youth who follow different types of plant-based diets is essential to understand whether support is required to ensure a well-planned diet that meets their nutritional needs. This study aimed to investigate how food groups, macronutrient intake, and objective blood measures varied between Norwegian youth following different plant-based diets compared to omnivorous diet. Methods Cross-sectional design, with healthy 16-to-24-year-olds (n = 165) recruited from the Agder area in Norway, following a vegan, lacto-ovo-vegetarian, pescatarian, flexitarian or omnivore diet. Participants completed an electronic questionnaire, a dietary screener, 24-hour dietary recalls and provided dried blood samples for analysis of carotenoids and fatty acids. Results Vegans reported the highest mean intake (g/d, g/MJ) of vegetables, legumes, nuts and seeds and substitutes to dairy and meat (compared to all, p<0.001), fruit and berries (compared to omnivores, p = 0.004 and pescatarians, p = 0.007), and vegetable oil (compared to omnivores, p<0.001, pescatarians, p = 0.003 and flexitarians, p = 0.004) and vegetable products (compared to omnivores, p = 0.007). No difference was found between groups in mean intake (g/d, g/MJ) of any of the confectionary foods or sweet pastries, beverages (sugar-sweetened, non-sugary, alcoholic), or salted snacks, neither in g/MJ of convenience foods. The energy percentage (E%) of protein, carbohydrates and total fat were within the Nordic Nutrition Recommendations 2023 across groups. However, all groups, except vegans, exceeded the E% for saturated fatty acids. All groups exceeded recommendations for added and free sugar. Furthermore, all groups consumed <25g/d of dietary fibre, except vegans and pescatarians. For omega-3, lacto-ovo-vegetarians had intakes below recommendations. Blood marker of total carotenoids did not differ between groups, neither did the reported mean intake (g/MJ) of carotenoid-rich foods. Vegans showed the lowest blood level of palmitic acid compared to all (p<0.001), but highest level of linoleic acid (compared to flexitarians, p = 0.022, and omnivores, p<0.001). The lowest blood levels of eicosapentaenoic acid and docosahexaenoic acid were found in vegans and lacto-ovo-vegetarians. Conclusions Our findings suggest that all groups had risk of dietary shortcomings. However, vegans consumed the most favorable diet. All groups should increase their consumption of vegetables, fruits and berries, and reduce their total sugar intake.
Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas
Objective This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC). Methods BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard. The study included 20 liver tumors. Results The median tumor measurement along the major axis was 1.2 cm. The median Dice coefficient, Sensitivity, and Precision between BioTrace and CECT were 0.90, 0.91, and 0.91, respectively. The intraclass correlation showed excellent agreement in volume size between BioTrace and CECT findings (0.98). Conclusion BioTrace effectively generates an ablation damage prediction map based on real-time ultrasound imaging, accurately predicting the ablation zone as confirmed by 24-hour post-procedural CECT. This system has the potential to enhance the safety and efficacy of ablation procedures in clinical settings.
Is reflux hypersensitivity truly a functional gastrointestinal disorder? A retrospective cross-sectional study
Background According to Rome IV, reflux hypersensitivity (RH) represents a novel form of functional esophageal disorder. This study was designed to compare the clinical features of three types of endoscopic-negative heartburn: RH, nonerosive reflux disease (NERD), and functional heartburn (FH). Methods Patients with heartburn in a medical center from 01/01/2017 to 10/31/2021 were included. This article presented a blinded retrospective analysis of 24 h MII–pH and HRM tracings from patients with NERD, RH, and FH to compare their clinical characteristics. Results A total of 118 patients were included in the study. There were no significant differences in age, sex, BMI, smoking status, or drinking history among RH, NERD and FH. Functional dyspepsia (FD) symptoms were more prone to exist in FH than in NERD (P < 0.05), whereas hiatal hernia was more prevalent in NERD and RH than in FH (P < 0.05). The incidence of anxiety and depression gradually increased in the NERD, RH, and FH groups (P > 0.05). The distal MNBI and PSPW index of the NERD and RH groups were lower than those of the FH group (P < 0.05). The distal MNBI showed good diagnostic potential. Conclusions Clear pathological alterations, which are distinct from those of other FGIDs, are observable in RH. It might be inappropriate to categorize RHs within FGIDs.
Integrative phylogenetic analysis of the genus Episoriculus (Mammalia: Eulipotyphla: Soricidae)
Shrews in the genus Episoriculus are among the least-known mammals in China, where representatives occur mainly in the Himalayan and Hengduan mountains. We sequence one mitochondrial and three nuclear genes from 77 individuals referable to this genus, collect morphometric data for five shape and 11 skull measurements from 56 specimens, and use museum collections and GenBank sequences to analyze phylogenetic relationships between this and related genera in an integrated molecular and morphometric approach. Whereas historically anywhere from two to eight species have been recognized in this genus, we conclude that six ( Episoriculus baileyi , E . caudatus , E . leucops , E . macrurus , E . sacratus , E . soluensis ) are valid. We dissent from recent systematic reviews of this genus and regard E . sacratus to be a valid taxon, E . umbrinus to be a subspecies of E . caudatus , and transfer E . fumidus to Pseudosoriculus . Our record of E . soluensis is the first for China, and expands the previously recognized distribution of this taxon from Nepal and NE India into the adjacent Yadong and Nyalam counties. One further undescribed Episoriculus taxon may exist in Xizang.
Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images. The results demonstrate the efficiency of the proposed artificial intelligence model, with a Dice coefficient of 87% and an average Intersection over Union of 0.8, reflecting high agreement with the manual segmentations produced by experts and surpassing traditional interpretation methods. The internal and external validation of the model corroborates its future applicability in real clinical scenarios, offering a new perspective in the analysis of myocardial perfusion scintigraphy images. The integration of artificial intelligence into the process of analyzing myocardial perfusion scintigraphy images represents a significant advancement in diagnostic accuracy, promoting substantial improvements in the interpretation of medical images, and establishing a foundation for future research and clinical applications, such as artifact correction.
Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter
In order to address many issues, such as the inconsistent and unreliable seeding process in traditional mechanical garlic seed metering systems (SMS), as well as the lack of ability to monitor the effectiveness of the seeding, a highly accurate electric-driven metering system (EDMS) was developed and created specifically for garlic seed planters. This study provided a description of the overall structure and functioning principle, as well as an analysis of the mechanism for smooth transit and delivery. A combination of an infrared (IR) sensor, Arduino Mega board, stepper motor, speed sensor, and a Wi-Fi module was employed to operate the EDMS, as well as monitor and count the quantity of garlic seeds during the planting process and determine the qualified rate (QR) and missing rate (MR). A monitoring system of the planting quality of garlic seeds was created based on the IoT concept. Then, the performance of the EDMS was validated in a laboratory setting utilizing a bench test at six operating velocities of 10, 20, 30, 40, 50, and 60 rpm of the EDMS. The obtained results showed that the correlation coefficient between the actual and detected garlic seed using the garlic seed monitoring and counting system (GSMCS) was 0.9723. Additionally, the EDMS observed a maximum QR of 96.23% at an operating velocity of 20 rpm, with a standard division and standard error of 1.61030 and 0.72015, respectively. Additionally, the EDMS minimized the MR up to 3.77% at the same operating velocity, with standard division and standard error of 1.65325 and 0.73936, respectively. Furthermore, the results indicated a progressive increase in the QR and MQ standard errors as the EDMS’s operating velocity increased. Additionally, the sensor’s monitoring accuracy gradually declined with an increase in the operating speed of the EDMS. Finally, this study introduced a novel EDMS to garlic seed planters that was not used before. The developed EDMS and GSMCS are technical manuals for developing and designing monitoring systems capable of precisely measuring and identifying the rates of qualifying and missing garlic seed measurements.
The effects of lowering barometric pressure on pain behavior and the stress hormone in mice with neuropathic pain
Background Lowering barometric pressure (LP) can exacerbate neuropathic pain. However, animal studies in this field are limited to a few conditions. Furthermore, although sympathetic involvement has been reported as a possible mechanism, whether the sympathetic nervous system is involved in the hypothalamic-pituitary-adrenal (HPA) axis remains unknown. To address these issues, we investigated LP-induced hyperalgesia by focusing on the cumulative effect of LP and measuring plasma corticosterone levels as a marker of HPA axis activation in mice. Methods Mice with chronic constriction injury (CCI) were used in this study. For behavioral tests, two types of LP stimulation were adopted: a single LP at 20 hPa (Single LP) and three consecutive LPs at 20 hPa (3LPs). Twelve mice were used for each protocol. The no-pressure-change protocol was used as the control. The mechanical sensitivity was tested before and after LP stimulation using von Frey filaments (vF). For corticosterone measurements, six CCI and six intact mice were exposed to 3LPs (CCI-3LPs and INT-3LPs), and another six CCI and six intact mice were exposed to the no-pressure-change protocol (CCI-NP and INT-NP). Blood samples were collected immediately after exposure. Plasma corticosterone levels were measured by ELISA. Results The number of paw elevations by vF before and after LP stimulation did not differ significantly in either the Single LP or the no-pressure-change protocol. For the 3LPs, the number of paw elevations after LP stimulation was significantly greater than before stimulation. Plasma corticosterone levels in the CCI-3LPs were significantly higher than those in CCI-NPs. In intact mice, there was no significant difference in plasma corticosterone levels between the INT-3LPs and INT-NPs. Conclusions LP has a cumulative effect on neuropathic pain. Hypothalamic-pituitary-adrenal axis activation may have an important relationship with LP-induced pain in mice.
Preparation and photoelectric properties of Si:B nanowires with thermal evaporation method
We have successfully prepared a significant number of nanowires from non-toxic silicon sources. Compared to the SiO silicon source used in most other articles, our preparation method is much safer. It provides a simple and harmless new preparation method for the preparation of silicon nanowires. SiNWs (Silicon nanowires), as a novel type of nanomaterial, exhibit many outstanding properties, including the quantum confinement effect, quantum tunneling, Coulomb blocking effect, and exceptional electrical and optical properties. The study of SiNWs is therefore highly significant. In this paper, non-toxic SiO2 powder, Si powder, and B2O3 powder were utilized as raw materials to prepare SiNWs with diameters ranging from 30–60 nm and lengths from several hundred nanometers to tens of microns. The resulting SiNWs have a uniform morphology, smooth surfaces, and are produced in considerable yield. The morphology and structure of the SiNWs were characterized using XRD, SEM, HRTEM, SAED, EDS, and Raman spectroscopy. The results indicate that the prepared SiNWs are pure, uniform, and have a polycrystalline structure. The PL (photoluminescence) spectra show a pronounced UV emission peak at 346 nm, with the optimal excitation wavelength being 234 nm. Measurements with the Keithley 2601B demonstrate that the resistivity of the SiNWs is 4.292 × 108Ω·cm. Further studies reveal that the PL properties of SiNWs are influenced by their size and surface state. These findings have significant implications for understanding the luminescent mechanism of SiNWs and their potential applications in optoelectronics and biomedicine. This paper serves as a reference for the preparation and characterization of SiNWs, highlighting their PL properties and potential use in various applications, including biomedical imaging, sensors, and optoelectronic devices.
Design and fabrication of customized brain slice matrices using CAD and 3D printing technology
This study presents a novel method for creating customized brain slice matrices using Computer-Aided Design (CAD) and 3D printing technology. Brain Slice Matrices are essential jigs for the reproducible preparation of brain tissue sections in neuroscience research. Our approach leverages the advantages of 3D printing, including design flexibility, cost-effectiveness, and rapid prototyping, to produce custom-made brain matrices based on specific morphometric measurements. The developed protocol is user-friendly and incorporates features such as embossed identifying markers and support structures for challenging thin regions, thereby enhancing its practical utility. Our method demonstrates rapid and cost-effective fabrication of custom brain matrices, significantly reducing both material expenses and production time compared to traditional manufacturing techniques and ready-made products. This work contributes to the growing application of 3D printing in biomedical research, offering a valuable tool for neuroscientists requiring precise and consistent brain tissue sectioning.