Search Results (8,126)

Deep learning techniques have become the mainstream approach for fine-grained crop classification in unmanned aerial vehicle (UAV) remote sensing imagery. However, a significant challenge lies in the long-tailed distribution of crop samples. This imbalance causes neural networks to focus disproportionately on majority class features during training, leading to biased decision boundaries and weakening model performance. We designed a minority sample enhanced sampling (MES) method with the goal of addressing the performance limitations that are caused by class imbalance in many crop classification models. The main principle of MES is to relate the re-sampling probability of each class to the sample pixel frequency, thereby achieving intensive re-sampling of minority classes and balancing the training sample distribution. Meanwhile, during re-sampling, data augmentation is performed on the sampled images to improve the generalization. MES is simple to implement, is highly adaptable, and can serve as a general-purpose sampler for semantic segmentation tasks, functioning as a plug-and-play component within network models. To validate the applicability of MES, experiments were conducted on four classic semantic segmentation networks. The results showed that MES achieved mIoU improvements of +1.54%, +4.14%, +2.44%, and +7.08% on the Dali dataset and +2.36%, +0.86%, +4.26%, and +2.75% on the Barley Remote Sensing Dataset compared with the respective benchmark models. Additionally, our hyperparameter sensitivity analysis confirmed the stability and reliability of the method. MES mitigates the impact of class imbalance on network performance, which facilitates the practical application of deep learning in fine-grained crop classification. Full article

This paper presents, discusses, and tests a novel method for guiding roulette selection in evolutionary algorithms. The new method uses fuzzy logic and incorporates information from both current and historical generations to predict the best scheme for the selection process. Fuzzy logic controls the probability of selecting individuals to the parent pool, based on historical data from the evolution process and the relationship between an individual’s fitness and the average fitness of the population. The new algorithm outperforms existing solutions by ensuring a proper balance between exploring new regions of the search space and exploiting previously found ones. The proposed system enhances the performance, efficiency, and robustness of evolutionary algorithms while reducing the risk of stagnation in suboptimal solutions. Results of experiments demonstrate that the newly developed algorithm is more efficient and resistant to premature convergence than standard evolutionary algorithms. Tests on both function optimization problems and real-world connected facility localization problems confirm the robustness of the newly developed algorithm. The algorithm can be an effective tool in solving a wide range of optimization problems, for example, optimization of computer network infrastructure. Full article

Background: Polycystic ovary syndrome (PCOS) is the most prevalent endocrinopathy in women of reproductive age, characterized by a broad spectrum of clinical, metabolic, and ultrasound findings. Over time, ultrasound has evolved into a cornerstone for diagnosing polycystic ovarian morphology (PCOM), thanks to advances in probe technology, 3D imaging, and novel stromal markers. The recent incorporation of artificial intelligence (AI) further enhances diagnostic precision by reducing operator-related variability. Methods: We conducted a narrative review of English-language articles in PubMed and Embase using the keywords “PCOS”, “polycystic ovary syndrome”, “ultrasound”, “3D ultrasound”, and “ovarian stroma”. Studies on diagnostic criteria, imaging modalities, stromal assessment, and machine-learning algorithms were prioritized. Additional references were identified via citation screening. Results: Conventional 2D ultrasound remains essential in clinical practice, with follicle number per ovary (FNPO) and ovarian volume (OV) functioning as primary diagnostic criteria. However, sensitivity and specificity values vary significantly depending on probe frequency, cut-off thresholds (≥12, ≥20, or ≥25 follicles), and patient characteristics (e.g., adolescence, obesity). Three-dimensional (3D) ultrasound and Doppler techniques refine PCOS diagnosis by enabling automated follicle measurements, stromal/ovarian area ratio assessments, and evaluation of vascular indices correlating strongly with hyperandrogenism. Meanwhile, AI-driven ultrasound analysis has emerged as a promising tool for minimizing observer bias and validating advanced metrics (e.g., SA/OA ratio) that may overcome traditional limitations of stroma-based criteria. Conclusions: The continual evolution of ultrasound, encompassing higher probe frequencies, 3D enhancements, and now AI-assisted algorithms, has expanded our ability to characterize PCOM accurately. Nevertheless, challenges such as operator dependency and inter-observer variability persist despite standardized protocols; the integration of AI holds promise in further enhancing diagnostic accuracy. Future directions should focus on robust AI training datasets, multicenter validation, and age-/BMI-specific cut-offs to optimize the balance between sensitivity and specificity, ultimately facilitating earlier and more precise PCOS diagnoses. Full article

The impact of creatine supplementation on individuals with kidney disease or pathological conditions with an increased risk of developing kidney dysfunction remains an active discussion. However, the literature on gene expression related to cellular creatine uptake and metabolism under altered renal function is scarce. Therefore, the present study utilized comprehensive bioinformatics analysis to evaluate the expression of creatine-related genes and to establish their relationships to normal and disturbed renal conditions. We identified 44 genes modulated explicitly in response to creatine exposure from a gene enrichment analysis, including IGF1, SLC2A4, and various creatine kinase genes. The analysis revealed associations with metabolic processes such as amino acid metabolism, indicating a connection between creatine and tissue physiology. Using the Genotype-Tissue Expression Portal, we evaluated their basal tissue-specific expression patterns in kidney and pancreas tissues. Then, we selected several pieces of Gene Expression Omnibus (GEO) transcriptomic data, estimated their expression values, and established relationships to the creatine metabolism pathways and regulation, shedding light on the potential regulatory roles of creatine in cellular processes during kidney diseases. These observations also highlight the connection between creatine and tissue physiology, emphasizing the importance of understanding the balance between endogenous creatine synthesis and creatine uptake, particularly the roles of genes such as GATM, GAMT, SLC6A8, and IGF1, under several kidney dysfunction conditions. Overall, the available data in the biological databases can provide new insights and directions into creatine’s effects and role in renal function. Full article

The care of elderly patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCIs) presents unique challenges due to age-related physiological and functional changes. With the global population aging rapidly, this demographic change affects a growing proportion of individuals requiring PCI. However, advanced age is associated with increased susceptibility to ischemic and bleeding complications, driven by physiological changes such as altered coagulation, vascular stiffness, and declining organ function. These factors complicate the management of CAD, making the balance between reducing thrombotic events and minimizing bleeding risks particularly challenging. Antiplatelet therapy is central to post-PCI management, but its benefits and risks differ significantly in elderly patients compared to younger populations. Tools like the PRECISE-DAPT and ARC-HBR provide guidance on dual antiplatelet therapy duration and bleeding risk stratification. However, their applicability and predictive accuracy in elderly patients remain areas of active investigation. This underscores the need for improved risk assessment methods tailored to the unique needs of aging individuals. In this review, we explore the epidemiological, pathophysiological, and clinical aspects of CAD in elderly patients, emphasizing the impact of aging on disease presentation and outcomes. Furthermore, we assess current risk stratification tools and discuss their limitations in predicting adverse events in older populations. By synthesizing these insights, we aim to highlight the complexities of managing elderly CAD patients and identify opportunities for optimizing personalized care to achieve better outcomes in this vulnerable group. Full article

Background: Temporal lobe epilepsy is the most common pharmaco-resistant type of epilepsy. The chance of obtaining seizure freedom after resective surgery in pharmaco-resistant mesial temporal lobe patients (mTLE) is significantly higher compared to pharmaceutical treatment (at least 50–60% compared to less than 15%). However, some factors (e.g., craniotomy) may prevent epilepsy patients undergoing surgery. A recent advancement in epilepsy surgery, i.e., magnetic resonance guided laser interstitial thermal therapy (MRgLITT), has become an attractive alternative for performance of selective amygdala-hippo-campectomy, especially because of its minimal invasiveness. Among other medial temporal lobe structures, the hippocampus is particularly important for successful processing of vestibular inputs. Nevertheless, it is still unclear whether mTLE patients who underwent MRgLITT perform worse on vestibular-dependent tests, including balancing, spatial orientation and rotational memory. Methods: Nine patients (Age 40.1 ± 14.5; 2 females) underwent vestibular-dependent assessments before and after MRgLITT using the following test battery: (I) clinical balancing test (CBT), (II) triangle completion test (TCT) and (III) rotational memory test (RM). Results: We found significant improvement from pre- to post-surgery in the vestibular-dependent spatial orientation test, namely in the wheelchair condition of the triangle completion test. Additionally, the obtained effect sizes were medium to large in favor of post-surgery assessment for the majority of conditions in the three tests applied in this study, indicating that the assessment of a larger number of patients could also, potentially, lead to significant results in these cases. Conclusions: This plausibility study is the first to assess vestibular-dependent balancing, spatial orientation and rotational memory functions before and after MRgLITT in mTLE patients. Even with a small sample of nine patients, significant changes and medium to high effect sizes in favor of surgery were observed. Nevertheless, prospective studies with larger sample sizes are necessary for appropriate estimation of MRgLITT effectiveness in these functional domains. Full article

Although it has been found that soccer produces limb imbalance, it has not been rigorously determined how to evaluate it in soccer players or which low-cost tests are the most effective for its analysis. Therefore, the objective of this systematic review was to identify and examine the evidence and evaluations of limb imbalance produced in professional soccer players. A systematic search was conducted in three databases (PubMed, Web of Sciences, and Scopus) to identify relevant studies published before 23 May 2022. Of the 2364 studies identified initially, only 12 articles were included in the systematic review. The results revealed that injury risks can be detected in professional soccer players through the YBT (Y Balance Test). The PSLR (Passive Straight Leg Raise) test, as well as the evaluation of the ROM (range of motion) in movements of adduction and internal hip rotation, seem to be two reliable tests to detect imbalances in the flexibility of the extremities. The FMS (Functional Motion Screen) test is inversely related to the performance in jump tests; thus, its combination can help to detect asymmetries in power generation. Finally, strength assessment tests in soccer players can negatively alter the flexibility values of agonist/antagonist muscles. Therefore, it is advisable to monitor both strength and flexibility tests synergistically to obtain a comprehensive evaluation. Full article

In multi-end-to-end path request planning, the control plane may not be able to meet all path request requirements under limited bandwidth resources. Moreover, suboptimal path planning can lead to localized network congestion, which in turn causes an overall imbalance in network load. Therefore, the multi-domain control plane needs to consider more network resource states during the path selection, such as link weights, load saturation, and resource occupancy rates, in order to select the optimal paths to maximize the satisfaction of data plane requirements while maintaining network load balance. To address such issues, we first derive a cross-domain communication load balancing objective function based on network modeling. Through collaborative processing among multi-domain controllers, the coordinated planning of cross-domain paths and the collaborative installation of flow tables are achieved. Then, we transform the cross-domain path planning problem into a clique-finding problem under a set of backup paths. Finally, we provide a heuristic approximate solution method for this problem. In terms of cross-domain communication, we adopt a collaborative approach among multiple controllers to achieve coordinated planning of cross-domain paths and collaborative installation of flow tables. Simulation results show that our proposed scheme outperforms the traditional method in terms of path allocation success rate, network load balancing degree, and data transmission delay, especially in cross-domain communication under high-density path requests in SDN networks. Full article

The utilization of food industry by-products represents a significant opportunity for developing functional foods. This study investigated the incorporation of Cucurbita maxima Plomo peel powder (PS) into wheat bread formulations to assess its potential as a valuable ingredient for bread-making. PS was incorporated into wheat flour at 1%, 10%, and 20% levels. The dough’s rheological properties were analyzed using Mixolab. Bread samples were evaluated for physical characteristics (volume, texture, colour), antioxidant properties (DPPH, ABTS, FRAP), and reducing sugar content. Analyses were performed on day 0 and after 7 days of storage. PS incorporation significantly modified dough rheology, with increased development time and enhanced protein stability. Bread volume decreased progressively with PS addition (from 195.5 cm³ to 109.8 cm³ at 20% PS). However, antioxidant activity increased substantially, particularly in the crust, with ABTS values rising from 2.37 to 10.08 TE μM/g DM in water extracts. Total phenolic content and reducing sugars showed significant increases across all PS concentrations. Storage studies revealed stable antioxidant properties but progressive textural changes, with hardness increasing from 6.83 N to 108.8 N at 20% PS after 7 days. While PS incorporation affects bread’s physical properties, the significant enhancement in antioxidant activity and phenolic content suggests its potential as a functional ingredient. The optimal incorporation level should balance technological properties with nutritional benefits. Full article

Accurate source location is a critical component of microseismic monitoring and early warning systems. To improve the accuracy of microseismic source location, this manuscript proposes a GA-PSO algorithm that combines the Genetic Algorithm (GA) with Particle Swarm Optimization (PSO). The GA-PSO algorithm enhances the PSO algorithm by dynamically adjusting the balance between global exploration and local exploitation through a sinusoidal function for the nonlinear adjustment of both learning factors, and an adaptive inertia weight that decreases quadratically with iterations. Additionally, the precision of the solutions is further improved through the crossover and mutation operations of the GA. In the simulated location model, the GA-PSO algorithm demonstrated the smallest error value, outperforming both the GA and PSO algorithm in terms of accuracy. Furthermore, the GA-PSO algorithm exhibited minimal sensitivity to wave speed fluctuations of ±1%, ±3%, and ±5%, maintaining the error within 0.5 m. The validation through the blasting experiment at the Shizhuyuan mine further confirmed the enhanced accuracy of the GA-PSO algorithm, with a location error of 20.08 m, representing an improvement of 59% over the GA and 43% over the PSO algorithm. Full article

When examined at the nanometer length scale, metallic liquids exhibit extensive ordering. Bonding enthalpies are balanced against entropic tendencies resulting in a rich complicated behavior that leads to clustering that depends on temperature but evolves on picosecond time scales. The structural organization of metallic liquids affects their thermophysical properties, such as viscosity and density, thus influencing the ability of a metallic liquid to form useful technological phases, such as metallic glasses. The time-dependent pair correlation function (the Van Hove function) was determined for metallic-glass forming Cu₄₉Zr₄₅Al₆ at 1060 °C from time-of-flight inelastic neutron scattering measurements made using the Neutron Electrostatic Levitation facility at the Spallation Neutron Source. The time for changes in local atomic connectivity, which is the timescale of atomic ordering, was determined by examining the decay of the nearest neighbor peak. The results of rigorous statistical analyses were used to distinguish between competing models of ordering, suggesting that a stretched exponential model of coordination number change is valid for this system. Full article

Many polyunsaturated fatty acids within cells exhibit diverse physiological functions. Particularly, arachidonic acid is the precursor of highly bioactive prostaglandins and leukotrienes, which are pro-inflammatory mediators. However, polyunsaturated fatty acids, such as arachidonic, docosahexaenoic, and eicosapentaenoic acids, can be metabolized into specialized proresolving mediators (SPMs), which have anti-inflammatory properties. Given that pro-inflammatory mediators and SPMs are produced via similar enzymatic pathways, SPMs can play a crucial role in mitigating excessive tissue damage induced by inflammation. Mast cells are immune cells that are widely distributed and strategically positioned at interfaces with the external environment, such as the skin and mucosa. As immune system sentinels, they respond to harmful pathogens and foreign substances. Upon activation, mast cells release various pro-inflammatory mediators, initiating an inflammatory response. Furthermore, these cells secrete factors that promote tissue repair and inhibit inflammation. This dual function positions mast cells as central regulators, balancing between the body’s defense mechanisms and the need to minimize tissue injury. This review investigates the production of SPMs by mast cells and their subsequent effects on these cells. By elucidating the intricate relationship between mast cells and SPMs, this review aims to provide a comprehensive understanding of the mechanism by which these cells regulate the delicate balance between tissue damage and repair at inflammatory sites, ultimately contributing to the resolution of inflammatory responses. Full article

Cholesterol is an essential element for the development and normal function of the central nervous system. While peripheral cholesterol is influenced by liver metabolism and diet, brain cholesterol metabolism takes place in an isolated system due to the impermeability of the blood–brain barrier (BBB). However, cross-talk occurs between the brain and periphery, specifically through metabolites such as oxysterols that play key roles in regulating cholesterol balance. Several neurodegenerative conditions such as Alzheimer’s disease or Parkinson’s disease are considered to be affected by the loss of this balance. Also, the treatment of hypercholesterolemia needs to consider these discrete interferences between brain and peripheral cholesterol and the possible implications of each therapeutic approach. This is particularly important because of 27-hydroxycholesterol and 24-hydroxycholesterol, which can cross the BBB and are involved in cholesterol metabolism. This paper examines the metabolic pathways of cholesterol metabolism in the brain and periphery and focuses on the complex cross-talk between these metabolisms. Also, we emphasize the regulatory role of the BBB and the need for an integrated approach to cholesterol management. Full article

Background/Objectives: The wellness profile of healthcare professionals is of crucial importance since it can affect the quality of healthcare services. This study created a comprehensive profile of health, functional capacity, physical fitness, and lifestyle behaviours in hospital healthcare professionals. Methods: A hundred female (age: 45.53 ± 2 yrs) professionals underwent assessments of their health (respiratory function/blood pressure/body circumference/body fat/body mass index/musculoskeletal pains), functional capacity (flexibility/balance), physical fitness (strength/aerobic capacity), and daily habits (smoking/alcohol/caffeinated beverages/screen time/physical activity). Results: According to data analysis (descriptive statistics, paired t-tests to analyze possible differences between the right and left sides), (a) 39% of the participants were overweight and 28% obese, (b) 40–44% of the participants showed higher values than normal in waist circumference and systolic blood pressure, and (c) 96% of the participants showed musculoskeletal pains. Functional capacity and physical fitness demonstrated significant differences in balance and flexibility (p < 0.05) between sides (right/left) and low levels of strength and dynamic balance-agility. Moreover, 67% of the sample did not participate in physical activities, while a significant percentage showed increased screen time on weekdays (44%) and weekends (61%). Finally, 36% of the sample smoked, 62% consumed alcohol, and 92% consumed caffeinated beverages (the majority were within permissible limits). Conclusions: In conclusion, this study contributes valuable insights into the wellness profile of healthcare professionals to ensure optimal care for this population. Full article

Achieving an optimal balance between thrombosis prevention and bleeding risk during temporary mechanical circulatory support remains a significant clinical challenge. Effective anticoagulation management that ensures device functionality while minimizing major bleeding events should have the potential to improve short-term outcomes. Here, we report the successful use of nafamostat mesilate (NM) as an anticoagulant during Impella support in two male patients with advanced heart failure and cardiogenic shock. NM therapy resulted in improved thrombocytopenia without the occurrence of major bleeding or thrombotic events. However, NM-related hyponatremia was observed, highlighting the need for careful monitoring during its administration and further cumulative evidence to validate optimal NM therapy during temporary mechanical circulatory supports. Full article