Drone technology is emerging as a pivotal component in the agricultural sector, particularly in the context of Agricultural Industrial Revolution 4.0 (IR4.0). Its application, especially in activities such as fertiliser and crop protection chemical spraying in the Kemubu Agricultural Development Authority (KADA) granary areas, can significantly enhance the farmers’ yields. Despite the positive reception of drone technology, there is a growing phenomenon of technology rejection that requires further exploration. This research aims to investigate farmers’ acceptance of drones as a mechanisation tool for paddy cultivation in the Jajahan Bachok, Kelantan granary areas within KADA authority. A structured questionnaire, based on the knowledge, attitude, practice (KAP) model, was administered to 82 farmers surrounding Jajahan Bachok through purposive sampling. Data analysis using SPSS version 26.0 involved Descriptive statistics, Spearman’s Correlation, and Reliability tests. The study reveals that paddy farmers exhibit acceptance of drone technology, albeit with a slow adoption rate. The correlations between knowledge, attitude, and practice with drone mechanisation acceptance are significant but negligible at levels of 0.253, 0.866, and 0.69, respectively. This research is vital for both agency and drone vendors to comprehend the factors influencing drone technology acceptance among paddy farmers. Understanding these factors can contribute to enhance the application and adoption rate of drone as next important mechanisation for paddy farming activities among farmers especially in the KADA granary areas. Keywords: Drone, paddy, acceptance, KAP model, KADA.

Primary factors considered that influence inflation movement can experience significant changes due to the COVID-19 pandemic. This research focuses on examining macroeconomic factors which influence the inflation rate in Saudi Arabia which is critical for development and adjusting a suitable policy response. Saudi Arabia’s changing inflation trends are also affected by its internal and external factors including domestic demands, net spending of Government, and liquidity along with exchange rate movements and imported inflation. This research paper focuses on providing insights regarding previous studies conducted on this topic by adopting different approaches. The approach utilized in this study reflects mainly non-oil revenues like value-added tax along with levies related to expatriates on inflation. ARDL (Autoregressive Distribution Lag Model) has been applied instead of the Vector Error Correction model considering its robustness for 40 quarter sample sized integrated in this study. From the results, it has been confirmed that the inflation Movement in Saudi Arabia is more inclined to external factors than domestic factors.

In this research, thermal modeling has been done to investigate the effect of nanofluid on the performance of the linear parabolic collector. Therminol vapor/liquid phase fluid (VP-1) has been used as a base fluid; iron oxide nanoparticles have been used to produce mono-nanofluid; and iron oxide multi-walled carbon nanotubes nanocomposite has been used as nanoparticles to produce hybrid nanofluid. The fluid flow inside the absorber tube of the collector is assumed to be turbulent. The results show that when hybrid nanofluid and mono-nanofluid are used, the energy and exergy efficiencies of the collector are higher than those for the conditions of using the base fluid, but their amount is slightly lower with the use of hybrid nanofluid than when the working fluid is mono-nanofluid. According to the obtained results, the highest energy efficiency of the linear parabolic collector using nanofluid and mono-nanofluid is 70.2% and 70.4%, respectively, and the highest exergy efficiency is 35.7% and 35.9%, respectively. Despite this, the friction coefficient of mono-nanofluid compared to hybrid nanofluid was obtained on average about 9% higher. The results showed that the criterion for evaluating the performance of the collector (hydrodynamic thermal efficiency) when hybrid nanofluid is used is more than when mono-nanofluid is used.

AIM: To gain insights into the global research hotspots and trends of myopia. METHODS: Articles were downloaded from January 1, 2013 to December 31, 2022 from the Science Core Database website and were mainly statistically analyzed by bibliometrics software. RESULTS: A total of 444 institutions in 87 countries published 4124 articles. Between 2013 and 2022, China had the highest number of publications (n=1865) and the highest H-index (61). Sun Yat-sen University had the highest number of publications (n=229) and the highest H-index (33). Ophthalmology is the main category in related journals. Citations from 2020 to 2022 highlight keywords of options and reference, child health (pediatrics), myopic traction mechanism, public health, and machine learning, which represent research frontiers. CONCLUSION: Myopia has become a hot research field. China and Chinese institutions have the strongest academic influence in the field from 2013 to 2022. The main driver of myopic research is still medical or ophthalmologists. This study highlights the importance of public health in addressing the global rise in myopia, especially its impact on children’s health. At present, a unified theoretical system is still needed. Accurate surgical and therapeutic solutions must be proposed for people with different characteristics to manage and intervene refractive errors. In addition, the benefits of artificial intelligence (AI) models are also reflected in disease monitoring and prediction.

The association between Visual Impairment (VI) and Autism Spectrum Disorder (ASD) remains an important research topic among children suffering from developmental delays and disabilities. The objective of this mini review was to evaluate previous literature on prevalence and etiology of visual impairment, frequency of visual impairment and types of refractive errors associated with autism in children. Previous researches on ASD found that the visual impairment is one of the major factors in autistic children. Hence measurement of vision screening in autism disorder is necessary for better explanation of the problem. The etiologies of visual impairment in autistic children were associated with refractive error and strabismus. Identification of refractive error in ASD children and providing them suitable corrective lenses may improve their visual functions and help in their daily activities. With these findings in mind, there is an urgent need to investigate further in this area and developed more detailed research. The findings would help optometrist, ophthalmologist in understanding types of visual impairment in autism school children.

The ligament is the soft tissue that connects bone to bone and, in case of severe injury or rupture, it cannot heal itself mainly because of its poor vascularity and dynamic nature. Tissue engineering carries the potential to restore the injured tissue functions by utilization of scaffolds mimicking the structure of native ligament. Collagen fibrils in the anterior cruciate ligament (ACL) have a diameter ranging from 20 to 300nm, which defines the physical and mechanical properties of the tissue. Also, the ACL tissue exhibited a bimodal distribution of collagen fibrils. Currently, the ability to fabricate scaffolds replicating this structure is a significant challenge. This work aims at i) measuring the diameter of collagens of bovine ACL tissue, ii) investigating the fabrication of sub-100nm fibers, and iii) fabricating aligned scaffolds with bimodal diameter distribution (with two peaks) resembling the healthy ACL structure. It is hypothesized that such scaffolds can be produced by electrospinning polycaprolactone (PCL) solutions. To test the hypothesis, various PCL solutions were formulated in acetone and formic acid in combination with pyridine, and electrospun to generate sub-100nm fibers. Next, this formulation was adjusted to produce nanofibers with a diameter between 100nm and 200nm. Finally, these solutions were combined in the co-electrospinning process, i.e., two-spinneret electrospinning, to fabricate biomimetic scaffolds with a bimodal distribution. Electrospinning of 8% and 15% PCL solutions, respectively, resulted in the production of fibers with diameters below and above 100nm. The combined scaffold exhibited a bimodal distribution of aligned fibers with peaks around 80 and 180nm, thus mimicking the collagen fibrils of healthy ACL tissue. This research is expected to have a society-wide impact because it aims to enhance the health condition and life quality of a wide range of patients.

ABSTRACT Extracurricular activities such as sports and music offer a means to glimpse the complexity of students’ experiences in federally-run boarding schools for Native children in the United States. Studies of music in residential schools typically include a mix of quantitative and qualitative sources, including “unexpected archives” such as land records, census counts, tribal archives, cultural objects and community stories. The analytical strategy of thematic analysis – an established academic tradition that is consistent with Indigenous methodologies – offers a rich and effective way to evaluate sources. The wide analytical scope can align with Indigenous research tenets including self-determination, supporting the collective good and fostering respectful relationships. Decolonisation can function as a guidepost, supporting methods of analysis that centre the students and bolster the wellness of Indigenous communities. An Indigenous episteme does not oblige a division reason and spirit; rather, it encompasses a web of contextual relationships that integrate multiple sources of knowledge.

The clinical outcomes of bipolar radiofrequency (RF) lipolysis, a prevalent non-invasive fat reduction procedure, hinge on the delicate balance between effective lipolysis and patient safety, with skin overheating and subsequent tissue damage as primary concerns. This study aimed to investigate a novel bipolar radiofrequency lipolysis technique, safeguarding the skin through an innovative PID temperature control algorithm. Utilizing COMSOL Multiphysics simulation software, a two-dimensional fat and skin tissue model was established, simulating various PID temperature control schemes. The crux of the simulation involved a comparative analysis of different PID temperatures at 45 °C, 50 °C, and 55 °C and constant power strategies, assessing their implications on skin temperature. Concurrently, a custom bipolar radiofrequency lipolysis device was developed, with ex vivo experiments conducted using porcine tissue for empirical validation. The findings indicated that with PID settings of Kp =7, Ki =2, and Kd =0, and skin temperature control at 45 °C or 50 °C, the innovative PID-based epidermal temperature control strategy successfully maintained the epidermal temperature within a safe range. This maintenance was achieved without compromising the effectiveness of RF lipolysis, significantly reducing the risk of thermal damage to the skin layers. Our research confirms the substantial practical utility of this advanced PID-based bipolar RF lipolysis technique in clinical aesthetic procedures, enhancing patient safety during adipose tissue ablation therapies.

Despite the increasing scientific interest and expanding role of gut microbiota (GM) in human health, it is rarely reported in case reports and deployed in clinical practice. Proteins and metabolites produced by microbiota contribute to immune system development, energy homeostasis and digestion. Exo- and endogenous factors can alter its composition. Disturbance of microbiota, also known as dysbiosis, is associated with various pathological conditions. Specific bacterial taxa and related metabolites are involved in disease pathogenesis and therefore can serve as a diagnostic tool. GM could also be a useful prognostic factor by predicting future disease onset and preventing hospital-associated infections. Additionally, it can influence response to treatments, including those for cancers, by altering drug bioavailability. A thorough understanding of its function has permitted significant development in therapeutics, such as probiotics and fecal transplantation. Hence, GM should be considered as a ground-breaking biological parameter, and it is advisable to be investigated and reported in literature in a more consistent and systematic way.

BACKGROUND Up until now, no research has been reported on the association between the clinical growth rate of multilocular cystic renal neoplasm of low malignant potential (MCRNLMP) and computed tomography (CT) imaging characteristics. Our study sought to examine the correlation between them, with the objective of distinguishing unique features of MCRNLMP from renal cysts and exploring effective management strategies. AIM To investigate optimal management strategies of MCRNLMP. METHODS We retrospectively collected and analyzed data from 1520 patients, comprising 1444 with renal cysts and 76 with MCRNLMP, who underwent renal cyst decompression, radical nephrectomy, or nephron-sparing surgery for renal cystic disease between January 2013 and December 2021 at our institution. Detection of MCRNLMP utilized the Bosniak classification for imaging and the 2016 World Health Organization criteria for clinical pathology. RESULTS Our meticulous exploration has revealed compelling findings on the occurrence of MCRNLMP. Precisely, it comprises 1.48% of all cases involving simple renal cysts, 5.26% of those with complex renal cysts, and a noteworthy 12.11% of renal tumors coexisting with renal cysts, indicating a statistically significant difference (P = 0.001). Moreover, MCRNLMP constituted a significant 22.37% of the patient population whose cysts demonstrated a rapid growth rate of ≥ 2.0 cm/year, whereas it only represented 0.66% among those with a growth rate below 2.0 cm/year. Of the 76 MCRNLMP cases studied, none of the nine patients who underwent subsequent nephron-sparing surgery or radical nephrectomy following renal cyst decompression experienced recurrence or metastasis. In the remaining 67 patients, who were actively monitored over a 3-year postoperative period, only one showed suspicious recurrence on CT scans. CONCLUSION MCRNLMP can be tentatively identified and categorized into three types based on CT scanning and growth rate indicators. In treating MCRNLMP, partial nephrectomy is preferred, while radical nephrectomy should be minimized. After surgery, active monitoring is advisable to prevent unnecessary nephrectomy.