Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation on Execution of Hybrid Micro Grid for Remote Villages

In this work a micro grid concept for a village in the Himalayas is presented. The unique feature of these micro grids is that they use locally available resources, such as solar, wind, water stream and biomass for electricity generation. In order of estimate the current electricity consumption and future demand, door to door survey was done. Based on this survey the power consumption pattern for 24 hours was estimated. Using this power consumption and the available local energy resources the energy alloy for the village was estimated. The chosen village has different resources for power generation and we can opt for different configurations of the micro grid as well. The ideas presented in this paper will be useful for designing micro grids for remote locations in the developing world.
Comprehensive Development of a Cellulose Acetate and Soy Protein-Based Scaffold for Nerve Regeneration

Background: The elaboration of biocompatible nerve guide conduits (NGCs) has been studied in recent years as a treatment for total nerve rupture lesions (axonotmesis). Different natural polymers have been used in these studies, including cellulose associated with soy protein. The purpose of this report was to describe manufacturing NGCs suitable for nerve regeneration using the method of dip coating and evaporation of solvent with cellulose acetate (CA) functionalized with soy protein acid hydrolysate (SPAH). Methods: The manufacturing method and bacterial control precautions for the CA/SPAH NGCs were described. The structure of the NGCs was analyzed under a scanning electron microscope (SEM); porosity was analyzed with a degassing method using a porosimeter. Schwann cell (SCL 4.1/F7) biocompatibility of cell-seeded nerve guide conduits was evaluated with the MTT assay. Results: The method employed allowed an easy elaboration and customization of NGCs, free of bacteria, with pores in the internal surface, and the uniform wall thickness allowed manipulation, which showed flexibility; additionally, the sample was suturable. The NGCs showed initial biocompatibility with Schwann cells, revealing cells adhered to the NGC structure after 5 days. Conclusions: The fabricated CA/SPAH NGCs showed adequate features to be used for peripheral nerve regeneration studies. Future reports are necessary to discuss the ideal concentration of CA and SPAH and the mechanical and physicochemical properties of this biomaterial.
Highly Sensitive Optical Fiber Temperature Sensor Based on Microwave Photonic Filter With Enhanced Vernier Effect

A highly sensitive optical fiber temperature sensor based on microwave photonic filters (MPFs) with enhanced Vernier effect has been proposed and experimentally demonstrated. The enhanced Vernier effect is achieved through a parallel configuration structure that precisely controls the delay time difference and filter coefficient of two dual-tap MPFs with a common sensing arm. So, the free spectral range (FSR) of the two MPFs varies in opposite directions with temperature, which results in a more pronounced envelope shift and increased sensitivity. Experimental results demonstrate that the temperature sensitivity is improved to 902.51 kHz/°C by using the enhanced Vernier effect, which is around 69 and 71 times the individual MPFs, respectively.
Regularized Primitive Graph Learning for Unified Vector Mapping

Large-scale vector mapping is the foundation for transportation and urban planning. Most existing mapping methods are tailored to one specific mapping task, due to task-specific requirements on shape regularization and topology reconstruction. We propose GraphMapper, a unified framework for end-to-end vector map extraction from satellite images. Our key idea is using primitive graph as a unified representation of vector maps and formulating shape regularization and topology reconstruction as primitive graph reconstruction problems that can be solved in the same framework. Specifically, shape regularization is modeled as the consistency between primitive directions and their pairwise relationship. Based on the primitive graph, we design a learning approach to reconstruct primitive graphs in multiple stages. GraphMapper can fully explore primitive-wise and pairwise information for shape regularization and topology reconstruction, resulting improved primitive graph learning capabilities. We empirically demonstrate the effectiveness of GraphMapper on two challenging mapping tasks for building footprints and road networks. With the premise of sharing the majority design of the architecture and a few task-specific designs, our model outperforms state-of-the-art methods in both tasks on public benchmarks. Our code will be publicly available.
A model to predict the survivability of cancer comorbidity through ensemble learning approach

Cancer is one of the most common death causes worldwide. Breast and genital cancers in women and prostate cancer in men constitute three of the most common cancers. Detection and prevention of these types of cancers are critical objectives. Recent findings indicate that some patients suffer from cancer comorbidity. The probability of survival among patients with comorbid condition is lower than those with only one type of cancer. The importance of concomitant chronic illnesses during cancer treatment through the SEER data is assessed through many machine‐learning approaches. In order to improve the accuracy of prediction of survival rates in patients with cancer and comorbidity of cancers, the gradient boosting ensemble method is adopted for feature selection and modelling. This proposed method increases the accuracy rate and reduces the error rate, and exhibits a significant predictive improvement of survival rates in comorbid cancer compared with the previous proposed models.
Impact of the customary law on the implementation of land use rights of Bana ethnic minority in Vinh Thanh district, Binh Dinh province

The study was conducted to test the impact of customary law on the exercise of land use rights of ethnic minorities. The research model of the paper is the linear structural equation model (SEM). The method of partial least squares (PLS) tests the SEM model with 124 survey samples of households and individuals of the Bana ethnic group in Vinh Thanh District, a mountainous district in West Northern Binh Dinh Province, Vietnam. The research results show many differences between customary law and law in implementing land use rights of the Bana ethnic minorities, leading to transactions on land use rights of the Bana ethnic group not being registered at the state agency. The research results confirm a robust relationship between customary law and the exercise of land use rights of ethnic minorities. This relationship is shown through the significance level of the research model achieved at 1%; the coefficient β for evaluating the relationship between customary law and the exercise of land use rights is 0.458. The estimated path coefficient close to +1 indicates a strong positive relationship. The research results provide some suggestions for further integrating customary law into the law in implementing and developing land law policies to improve the efficient implementation of land use rights for ethnic minorities.
Ex vivo normothermic preservation of a kidney graft from uncontrolled donation after circulatory death over 73 hours

The transplant community is focused on prolonging the ex vivo preservation time of kidney grafts to allow for long-distance kidney graft transportation, assess the viability of marginal grafts, and optimize a platform for the translation of innovative therapeutics to clinical practice, especially those focused on cell and vector delivery to organ conditioning and reprogramming. We describe the first case of feasible preservation of a kidney from a donor after uncontrolled circulatory death over a 73-h period using normothermic perfusion and analyze hemodynamic, biochemical, histological, and transcriptomic parameters for inflammation and kidney injury. The mean pressure and flow values were 71.24 ± 9.62 mmHg and 99.65 ± 18.54 mL/min, respectively. The temperature range was 36.7°C–37.2°C. The renal resistance index was 0.75 ± 0.15 mmHg/mL/min. The mean pH was 7.29 ± 0.15. The lactate concentration peak increased until 213 mg/dL at 6 h, reaching normal values after 34 h of perfusion (8.92 mg/dL). The total urine output at the end of perfusion was 1.185 mL. Histological analysis revealed no significant increase in acute tubular necrosis (ATN) severity as perfusion progressed. The expression of KIM-1, VEGF, and TGFβ decreased after 6–18 h of perfusion until 60 h in which the expression of these genes increased again together with the expression of β-catenin, Ki67, and TIMP1. We show that normothermic perfusion can maintain a kidney graft viable ex vivo for 3 days, thus allowing a rapid translation of pre-clinical therapeutics to clinical practice.
Correlates of Bumble Bee Occurrence in an Urbanized Southern California Landscape

Bees are ecologically important pollinators that are threatened by disease, urbanization, and habitat loss. Bee species that share broad ecological traits (e.g., body size, diet breadth) may often respond similarly to environmental disturbance; however, few studies have examined why closely related, ecologically similar bee species exhibit divergent responses to the same forms of disturbance. Here, we examine the responses of three bumble bee species (Apidae: genus Bombus) to urbanization by combining field surveys and Geographic Information Systems (GIS) analyses of local- and landscape-level variables. We surveyed 57, one-hectare plots selected across a gradient of urbanization from April to June in 2012 and 2013. We used field surveys and aerial and satellite imagery to quantify local and landscape-level variables thought to affect Bombus occurrence in an urbanized landscape. We observed approximately 1,000 bumble bee individuals belonging to three species during the two year observation period. Negative effects of urbanization on Bombus occurrence were evident in terms of reduced species richness for plots in urban areas compared to plots in fragments or reserves. Although occurrence values for each Bombus species were all strongly and negatively related to impermeable surface cover within plots, each species responded uniquely to different plot- scale variables and exhibited distinctive patterns of scale-dependency with respect to impermeable surface cover surrounding plots. Species-specific responses to plot- scale and landscape-scale variables partly reflects trait variation among the three species. Given the divergent responses exhibited by each Bombus in this study, our results caution against pooling species into functional groups based merely on taxonomic relationships or perceived ecological similarities
Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition

The 5-Methyluridine (m5U), predominantly present in RNA and especially enriched in transfer RNA (tRNA), significantly enhances translational accuracy and protein synthesis by ensuring precise genetic information decoding and optimal tRNA functionality within cellular mechanisms. The identification of m5U modification sites is crucial, as this modification has gained significant attention in diseases such as breast cancer, stress response, and viral infections, offering insights into its molecular mechanisms and regulatory functions in disease contexts. Nevertheless, due to the arduous nature, intricate procedures, reliance on sophisticated and expensive instrumentation, and the need for specialized expertise, conventional biochemical approaches for identifying m5U modification sites result in substantial resource expenditures and notable temporal investments. Consequently, the pressing need for a precise and efficient computational method highlights the urgency for alternative approaches in identifying m5U modification sites. In this study, we introduce a novel computational approach called “Deep-m5U,” which combines the strengths of Convolutional Neural Networks (CNNs) and tetranucleotide composition to accurately identify methyluridine modification sites and improve overall performance. The developed Deep-m5U method leverages CNNs to accurately detect protein-coding regions aand capture relevant motifs, while incorporating tetra-nucleotide composition to capture global compositional characteristics, resulting in a more robust model that significantly enhances performance. We evaluated the Deep-m5U model on two publicly available benchmark datasets: the full transcript and mature mRNA datasets. Our results showcase superior performance, achieving accuracies of 91.26% and 95.63% respectively, surpassing the current cutting-edge methods. Moreover, the open-source code for Deep-m5U is freely accessible at: https://github.com/waleed551/Deep-m5U.
The non-local effects of 7-week foot sole static stretching and foam rolling training on shoulder extension range of motion

Static stretching and foam rolling can increase the range of motion (ROM) of a joint acutely as well as chronically. Although studies have reported ROM increases of a non-stretched heterologous muscle (non-local) following an acute static stretching or foam rolling session, these effects have not been studied for long-term training interventions. Therefore, the purpose of this study was to investigate the effects of a comprehensive 7-week static stretching and foam rolling training program of the foot sole on shoulder extension ROM. A total of 33 healthy, physically active participants (20 male) were assigned to either the intervention (n = 19) or control (n = 14) group. The intervention group performed a 7-week combined static stretching and foam rolling intervention comprising three sessions a week, including three exercises of the foot sole for 5 min each. Before and after the intervention period, the shoulder extension ROM was tested with three-dimensional (3D) motion caption. The level of significance for all statistical analyses was set to ρ ≤ 0.05. There was no significant time (p = 0.70, F1, 31 = 0.157; η2 = 0.005) or time×group effect (p = 0.38, F1, 31 = 0.785; η2 = 0.025) in shoulder extension ROM, indicating no ROM changes in the intervention or the control group. Although previous studies on the acute effects of stretching and foam rolling reported non-local increases in ROM in heterologous muscles, this study could show that such effects do not occur after chronic SS and foam rolling training for 7 weeks. Consequently, if the goal is to chronically increase the ROM of a specific joint, it is recommended to directly treat the muscles of interest.
Influence of Orographic Factors on the Distribution of Lichens in the Franz Josef Land Archipelago

During a geobotanical study of the Franz Josef Land archipelago, 111 lichen species were recorded on 130 sample plots. The significance of orographic factors in the distribution of lichens was assessed using principal component analysis (PCA) and multiple regression analysis. It was found that the absolute altitude and distance from the glacier are of the greatest importance for crustose lichens, while for fruticose lichens, the most critical factors were the slope exposure and steepness. Along the altitudinal gradient, the number of species decreased (from 88 to 25). The highest number of species (90) was recorded at distances of 0.1 to 1.0 km from the glacier edge, which is explained by the unstable species composition of areas recently released from under the glacier. The number of species in all groups generally decreased (from 81 to 52) with increasing slope steepness. With an increasing heat supply of slopes (on a gradient from northern to southern), the number of species steadily increased in all groups (from 39 to 75). The low sum of the explained variance values for the first two PCA components (21%) characterizes the specificity of the natural environment of polar deserts, where there is no leading environmental factor.
Enhanced Domino Wireless Power Transfer for Transmission Line Monitoring: Overcoming External Metal Object Interference and Optimizing Coil Design

Utilizing domino resonant inductive power transfer (DR-IPT) system embedded in disk insulators to energize monitoring systems for transmission lines has been recommended in this century. However, presenting the external metallic objects (EMOs) in the volume encompassing the involved coils will affect the electromagnetic field and induce eddy currents. This research has specifically focused on and provides a new solution to overcome this issue. The solution proposes a new electrical circuit design, modeling, and analysis, and employs numerical metaheuristic optimization techniques to tackle the issue, and verifies the entire approach experimentally over a 63 kV transmission line model. New electrical circuit parameters (ECPs) in the presence of EMOs are obtained, and analytical equations for air-core Archemidean magnetic coils' ECP calculation are provided and experimentally verified. Moreover, a comprehensive independent design parameter (IDP) specification method is proposed, and a multi-objective function is defined to meet design objectives simultaneously in the presence of EMOs taking into account the inequality constraints. The system-level impacts of the EMOs on the transfer performance of the DR-IPT are also discussed, analyzed, and optimized, and the (system-level) accuracy of the proposed design method is discussed and experimentally verified.
Carbohydrases and Phytase in Poultry and Pig Nutrition: A Review beyond the Nutrients and Energy Matrix

Simple Summary Cereal grains and their by-products incorporated into non-ruminant animal feeds contain non-starch polysaccharides and phytate, which are anti-nutritional factors. The animals’ endogenous digestive enzymes do not break down non-starch polysaccharides and phytate. Thus, exogenous enzymes such as carbohydrases and phytase, are supplemented to increase dietary energy and nutrient availability, reducing dietary cost and improving growth performance. Nevertheless, recent studies reveal that the improvement in growth performance goes beyond the release of indigestible nutrients. The positive impacts extend to the intestinal microbiota, immune system, and antioxidant status. However, it is unclear whether the benefits of enzyme action can be translated into better animal growth on commercial farms that face environmental, immunological, and management challenges. In this review, we observed that the supplementation of carbohydrases and phytase under poor sanitary conditions aligns with the energy and nutritional valorization matrices. This suggests that enzymes have properties that promote overall intestinal health, because they expedite post-sanitary challenge recovery and, at the same time, maintain improved utilization of the nutritional matrix. Additionally, studies under commercial conditions demonstrate that matrices containing carbohydrases and phytase sustain the growth and general health of broiler chickens and pigs. However, future research is needed to determine the extent of energy and nutrient savings at the commercial farm level. Abstract This review aimed to clarify the mechanisms through which exogenous enzymes (carbohydrases and phytase) influence intestinal health, as well as their effects on the nutrients and energy matrix in diets fed to poultry and pigs reared under sanitary challenging conditions. Enzyme supplementation can positively affect intestinal microbiota, immune system, and enhance antioxidant status. Although enzymes have been shown to save energy and nutrients, their responses under sanitary challenging conditions are poorly documented. Immune system activation alters nutrient partitioning, which can affect the matrix values for exogenous enzymes on commercial farms. Notably, the carbohydrases and phytase supplementation under sanitary challenging conditions align with energy and nutritional valorization matrices. Studies conducted under commercial conditions have shown that matrices containing carbohydrases and phytase can maintain growth performance and health in poultry and pigs. However, these studies have predominantly focused on assessing a single level of reduction in energy and/or available phosphorus and total calcium, limiting our ability to quantify potential energy and nutrient savings in the diet. Future research should delve deeper into determining the extent of energy and nutrient savings and understanding the effects of alone or blended enzymes supplementation to achieve more specific insights.
Performance of Hybrid Micro Textured Drill Tool and Nanofluid in Drilling of Aerospace Alloy

Drilling is one of the most essential processes in manufacturing which involve in assembly of machines, equipment, and structure. Heat produced during the drilling process must be removed with the help of cutting fluid. Issue with commercial cutting fluids include environmental as well as operator health issues due to hydrocarbon oil. Researchers are attempting various approaches to avoid the above issue. Texture on cutting tool coupled with nanofluid is one of the alternative approaches. It reduces frictional coefficient which enhances the lubrication effect. Texturing with micro hole is introduced on flute as well as margin area of drill tool for drilling of titanium alloy. The result revealed that textured drill tool provides better machining performance. The combined advantage of texturing and nanofluid is reduced the surface roughness is reduced by 5 - 10% with flute textured tool and 12% with margin textured tool. Temperature of working zone by 13% and 16% with fluted textured and margin textured tools respectively.
Identifying Parking Lot Occupancy with YOLOv5

With the increasing need for efficient parking space management and growing population, the application of artificial intelligence (AI) in occupancy detection has become a topic of significant interest. This paper explores the effectiveness and reliability of the YOLO (You Only Look Once) object detection algorithm in differentiating between occupied and empty parking spots. Moreover, it analyzes the impact of the number of training epochs on the overall accuracy of the AI model. The study utilizes the YOLO algorithm due to its speed and accuracy which makes the training process highly efficient. A custom dataset of 135 images was created and annotated for training purposes. The primary objective of this experiment is to demonstrate the way how AI models can successfully distinguish between occupied and empty parking spaces. By addressing the capabilities of YOLO in occupancy detection, this research aims to contribute to the growing interest in AI applications for efficient parking space management and its implications in tackling real-world challenges.
Testing Right Frontier Constraint on Edgar Allan Poe's The Raven

This paper focuses on Edgar Allan Poe's The Raven as a case study to examine the narrator's conscious experiences and the challenges of interpreting coherence relations within this domain. It examines the concept of Right Frontier Constraint (RFC) from the Segmented Discourse Representation Theory (SDRT) and discusses its relevance in the context of The Raven. It further addresses the challenge of clarifying poetical effects through the lens of coherence relations and acknowledges the diversity of reader responses. This paper draws from the work of various researchers who have explored discourse segmentation and coordination, and applies global and micro analysis to further examine the themes of The Raven, and Poes use of poetical effect through the poems ambiguity and symbolism. The aim of this paper is to elucidate the intricate web of coherence relations within literary works such as The Raven while also offering potential avenues for future research to probe into the interpretation of coherence relations in conscious experiences.