Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple eye disease detection using deep learning

Human eyes are vulnerable to several abnormalities because of trauma, aging and disease like diabetes. The main factors of blindness around the world are glaucoma, cataract, macular degeneration and diabetic retinopathy etc. These eye diseases need to be detected and diagnosed timely with appropriate treatment for the solution of this problem. Multiple eye disease detection by analyzing various medical images can provide a timely diagnosis of eye diseases. The steps that are involved in multiple eye disease detection using deep learning are the acquisition of images, region of interest extraction, extraction of features and classification or detection of a particular disease. In this paper, diseases like uveitis, glaucoma, crossed eyes, bulging eyes and cataracts have been detected using deep learning models like Resnet and vgg16 model. We have obtained 92% accuracy using Resnet50 and 79% accuracy using the vgg16 model.
Fill of daily series of precipitation, minimum and maximum temperature from the northern region of Urabá Antioquia

Agroclimatic studies require the use of time series of meteorological variables, which generally present missing data limiting its use, so filling methods are used. The purpose of this study was to determine the reliability of filling methods: US National Weather Servicie (WS), rational deductive (RD), multiple regression (MR) and linear regression (LR) and from them use the best to fill the data series of precipitation, maximum and minimum temperature during the period 2006- 2009 of the stations located in the northern area on b anana axis from Uraba Antoquia. The base station was Pista Indira, and Uniban, Turbo, Aeropuerto and Prado Mar stations were used as neighbors. Standard error was made with: square root of the mean squared error (RCCME), coefficient of determination (R 2 ), mean absolute error (MAE), relative error (RE) and Willmott's concordance index (d). RM and RL methods presented similar RCCME and MAE to those of WS, which would lead to have similar errors but due to R 2 of the first were 0.8 and the index (d) for WS was higher or similar to the other method, the latter was used to fill in the series.
Anthropometric Seat Design for Bus Drivers in Southwestern Nigeria

Most buses used in Nigeria are imported; thus, the anthropometric dimensions of the citizens of the country of manufacture were used for the seat design. Poorly designed seats due to a mismatch in anthropometric measurements may lead to musculoskeletal disorders. Hence, there is a need to design an appropriate seat for particular bus drivers. This study aimed to obtain anthropometric dimensions of Nigerian bus drivers and design an appropriate driver’s seat based on the collected dimensions. Relevant anthropometric variables necessary for the driver’s seat design were obtained from 150 randomly selected male bus drivers from seven towns in Ogun, Oyo and Lagos states. Seat dimensions of 50 urban buses in heavy and medium automobile categories were considered. The means, standard deviations and 5th, 50th and 95th percentiles were calculated. The existing seat dimensions were compared with the required anthropometric measurements of the drivers for the seat design. It was found that the current seat measurements differed from the suggested seat dimensions. The study highlighted that in designing and producing bus seats for Nigerian bus drivers, their anthropometric data should be considered. The study recommended that the dimensions of the driver’s seat should be 46.45-50.45 cm (seat height); 39-48.26 cm (seat depth); 46.83 cm (seat front width); 53 cm (backrest height); 49-58.26 (backrest depth); and 90° to 130° (seat backrest angle).
Analysis of the contribution of IFRS to improving the relevance of financial performance measures: A comparative study with Moroccan Accounting Standards

The implementation of the international accounting framework has led to a new philosophy of estimating and valuing the financial performance of companies. In this respect, the accounting indicators derived from financial statements constitute the classic measures of performance evaluation, such as ROE, ROA, BPA, and Payout. However, their usefulness is contested in the face of market-based indicators like TSR, MVA, PBR, and dividend yield. This paper aims to assess the effect of adopting IFRS on the relevance of financial performance measures through a comparative approach with Moroccan GAAP. At the empirical level, the use of multiple regressions on panel data remains strongly solicited to test the informational relevance of these indicators. In number, there are 115 observations collected from IFRS-adopting companies and 418 observations from non-adopting companies over the period 2013–2022. The study revealed a significant impact of the adoption of IFRS on the informational relevance of accounting indicators (adjusted R2(IFRS) = 71.12% against adjusted R2(Moroccan GAAP) = 55.03%). However, this study found a less significant effect of IFRS on the degree of relevance of stock market performance indicators (adjusted R2 (IFRS) = 50.36% versus adjusted R2(Moroccan GAAP) = 63.84 %). The study also showed a significant effect of IFRS on the complementarity between accounting and stock market performance indicators to explain the total shareholder return (adjusted R2(IFRS) = 69.02% against adjusted R2(Moroccan GAAP) = 58.01%).
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations

Hot topic trends have become increasingly important in the era of social media, as these trends can spread rapidly through online platforms and significantly impact public discourse and behavior. As a result, the scope of distributed representations has expanded in machine learning and natural language processing. As these approaches can be used to effectively identify and analyze hot topic trends in large datasets. However, previous research has shown that analyzing sequential periods in data streams to detect hot topic trends can be challenging, particularly when dealing with large datasets. Moreover, existing methods often fail to accurately capture the semantic relationships between words over different time periods, limiting their effectiveness in trend prediction and relationship analysis. This paper aims to utilize a distributed representations approach to detect hot topic trends in streaming text data. For this purpose, we build a sequential evolution model for a streaming news website to identify hot topic trends in streaming text data. Additionally, we create a visual display model and knowledge graph to further enhance our proposed approach. To achieve this, we begin by collecting streaming news data from the web and dividing it chronologically into several datasets. In addition, word2vec models are built in different periods for each dataset. Finally, we compare the relationship of any target word in sequential word2vec models and analyze its evolutionary process. Experimental results show that the proposed method can detect hot topic trends and provide a graphical representation of any raw data that cannot be easily designed using traditional methods.
Impacts and Implications of Co-occurring Invasive Plant Species

Though biological invasion studies have proliferated in recent decades, a consistent emphasis remains on the study of single-species invasions. Here, we juxtapose the number of invasive plants reported as co-occurring within conservation habitats in one of the most comprehensive global conservation management databases (The Nature Conservancy’s Conservation Projects) with the number of published studies that address impacts of co-occurring invasive plants. We reviewed 86 conservation projects and 153 peer-reviewed publications and found that only one-third of studies mentioned co-occurring invaders, although over two-thirds of habitats were multiply invaded, indicating researchers are more likely to study single invaders, even though conservation managers are more often faced with multiple invaders in a given habitat. Of those studies focused on multiple invasives, the majority did not attempt to differentiate impacts caused by species when found alone or with other invaders and instead either treated cooccurring invaders together as a single, undifferentiated group or compared impacts between invasive plant monocultures. Less than 6% of all studies analyzed invader interactions. The high prevalence of co-occurring invasive plants should encourage more research on multiple invaders, which may better inform prioritization of which species to manage. Specifically, we suggest research on how effects of multiple invaders differ from those of single invaders, what types of interactions (facilitative, competitive, neutral) are most commonly found between invaders, and what effects interactions might have on the overall impact (additive or non-additive) of the individual invader. Though we acknowledge the challenge of studying multiple invaders, there is a critical need to address these questions to make invasion research more relevant to conservation programs.
Not all seed transfer zones are created equal: using fire history to identify seed needs in the Cold Deserts of the western United States

Restoration planning requires a reliable seed supply, yet many projects occur in response to unplanned events. Identifying regions of greater disturbance risk could efficiently guide seed procurement. Using fire in U.S. Cold Deserts as an example, we demonstrate how historic disturbance can inform seed production choices. We compared differences in fire frequency, area burned, and percent of area burned among different management areas, identifying regions of particular need. We also present a case study focused on fire occurrence within important wildlife habitat, specifically looking at the greater sage‐grouse priority areas for conservation (PACs) within the Northern Basin and Range ecoregion. We used geospatial seed transfer zones as our focal management areas. We broadly considered generalized provisional seed transfer zones, created using climate and stratified by ecoregion, but also present results for empirical seed transfer zones, based on species‐specific research, as part of our case study. Historic fire occurrence was effective for prioritizing seed transfer zones: 23 of 132 provisional seed transfer zones burned every year, and, within each ecoregion, two provisional seed transfer zones comprised ≧50% of the total area burned across all years. Fire occurrence within PACs largely reflected the seed transfer zone priorities found for the ecoregion as a whole. Our results demonstrate that historic disturbance can be used to identify regions that encounter regular or large disturbance. This information can then be used to guide seed production, purchase, and storage, create more certainty for growers and managers, and ultimately increase restoration success.
Adsorption isotherms and kinetics for Pb(ii) ion removal from aqueous solutions with biogenic metal oxide nanoparticles

This study investigates the sorption removal of lead(ii) ions using zinc oxide (ZnO) and copper(ii) oxide (CuO) nanoparticles synthesized through a wet burning method with the aid of plant extract from Serratula coronata L. The effect of plant collection time on polyphenol content was investigated and optimal conditions were determined. The structural and chemical properties of the nanoparticles were studied by scanning electron microscopy, energy dispersive analysis, X-ray phase analysis, and X-ray photoelectron spectroscopy. A comparative analysis of lead ion sorption on the surface of synthesized nanoparticles was conducted. The kinetic study revealed that the sorption process follows a pseudo-second-order mechanism, and the Freundlich sorption model provides a better fit for the experimental data. ZnO and CuO nanoparticles exhibited significant sorption capacities, with values of 163.6 and 153.8 mg g−1, respectively.
Creating Realistic Presentation Attacks for Facial Impersonation Step-by-Step

Presentation attacks are one of the many dangers facing law enforcement today. In addition, material science is constantly advancing and criminals, aware of this fact, are taking advantage of new composites to manufacture new artifacts that allow them to cross borders by breaching border control points. This article presents the creation of several presentation attacks using make-up, hyper-realistic latex, and prosthetic masks. It is worth noting that such attacks do not receive adequate attention, due to the difficulty in their elaboration. The work of professionals in the make-up sector is required. Each stage of processing is analyzed for any artifacts that would facilitate the detection of the attack, using a multispectral approach in the visible and thermal spectra. The methodology evaluates three different face recognition systems (FRS), the different stages of impersonation, i.e. when a specific part of the face such as nose, cheekbones, jaw, or eyes is incorporated. The results show that certain parts of the face improve impersonation and make it more difficult for the algorithms to detect possible impersonation. However, other parts of the face, such as the jaw, not only do not improve impersonation but also significantly worsen performance. Using OpenFace as an FRS example, which is one of the FRS employed in this research work, the bonafide comparison of the target yields a score of 0.304, while with the make-up attack before applying make-up to the jaw, it gives 0.291, and after applying make-up, it gives 0.421.
The Effect of Brand Attachment on Consumer Willingness to Pay Price Premiums Based on Cosmetic Products Insight

With the continuous upgrading of consumption level and the continuous growth of demand, people's attention to brands is gradually increasing, especially in China. To investigate the impact of cosmetic’s brand attachment on consumer willingness to pay price premiums, this article uses consumer willingness to pay price premiums as the dependent variable, and cosmetic brand attachment as the independent variable for regression analysis. It has been determined through empirical analysis that consumer willingness to pay price premiums is positively impacted by cosmetic brand attachment and its four dimensions including appearance, utility, brand-self connection, and memory. The research finds that the memory has the biggest impact on consumer willingness to pay price premiums. Also, the brand-self connection, and utility would increase consumer willingness to pay price premiums. Appearance haves the least influence on consumer willingness to pay price premiums. The research findings of this paper offer advice to the cheap cosmetics firms and once well-known cosmetics firms on how to improve future marketing strategies and competitive advantages respectively. This paper's key contribution is the advancement of the research object. At the moment, brand attachment research is primarily a macro market analysis conducted by both domestic and international academics. They fail to make a distinction between different brand types, such as the market for cosmetic brand names.
Analysis of complete mitogenomes and phylogenetic relationships of Frontopsylla spadix and Neopsylla specialis

Fleas represent a group of paramount medical significance, subsisting on blood and acting as vectors for an array of naturally occurring diseases. These pathogens constitute essential elements within the plague biome, exerting deleterious effects on both human and livestock health. In this study, we successfully assembled and sequenced the whole mitochondrial genome of Frontopsylla spadix and Neopsylla specialis using long-range PCR and next-generation sequencing technologies. The mitogenomes of F. spadix and N. specialis both have 37 genes with full lengths of 15,085 bp and 16,820 bp, respectively. The topology of the phylogenetic tree elucidates that species F. spadix is clustered in a branch alongside other members of the family Leptopsyllidae, whereas species N. specialis is a sister taxon to Dorcadia ioffi and Hystrichopsylla weida qinlingensis. It also suggests that Pulicidae form a monophyletic clade, Ctenopthalmidae, Hystrichopsyllidae, Vermipsyllidae form a sister group to Ceratophyllidae/Leptopsyllidae group. The mitochondrial genomes of F. spadix and N. specialis were sequenced for the first time, which will contribute to a more comprehensive phylogenetic analysis of the Siphonaptera order. The foundation for subsequent systematic studies, and molecular biology of fleas was established.
Entanglement of Optical and Microcavity Modes by Means of an Optoelectronic System

Entanglement between optical mode and microwave mode is a critical issue in illumination systems. Traditionally, optomechanical systems are applied to couple the optical mode to microcavity modes. However, due to some restrictions of this system such as sensitivity to the thermal noise at room temperature, a novel optoelectronic system is designed in this study to fix the recent system problems. Unlike recent optomechanical systems, the optical modes are directly coupled to the microwave cavity through the optoelectronic elements with no need mechanical system. The main objective of this work is to generate the entangled modes at room temperature. For this purpose, we theoretically analyze the dynamics of motion of the optoelectronic system with the Heisenberg-Langevin equations, from which one can calculate the coupling between optical and microcavity modes. The most important feature of this system is the coupling between optical mode and microwave cavity mode, which is done using a photodetector and a Varactor diode. Hence, by controlling the photodetector current (photocurrent), which is dependent on the optical cavity incidence wave and the Varactor diode biased, which is the function of the photocurrent, the coupling between the optical and microcavity mode is fully done. The modeling results show that the coupled modes are entangled at the room temperature with no need to any mechanical parts.
Ethno pedagogy and conservation practices of the erai-erai dance in the Lematang Malay Community, Lahat District, South Sumatra Indonesia

Ethno pedagogy examines the interaction of pedagogical and cultural traditions as well as social and pedagogical processes and examines educational methods and solutions used by the Lematang people in Lahat District. This study aims to analyze the application of Ethno pedagogy in learning erai-erai dance. Art-based qualitative methods with an ethnopedagogical approach as a data collection strategy based on observation, interviews and document research. Several stages of the interview activities included interview planning, conducting interviews, recording interview data and activities after the interview, namely checking the validity of the data and making systematic data so that it was ready to be used as material for further analysis. Source triangulation techniques to check data accuracy and test the credibility of data from various sources, then to compare the results of interviews between informants who are directly or indirectly involved. The results of this study are the dissemination of erai-erai dance performances through a socialization process so that ethnopedagogical practices emerge in the community with various learning strategies for erai-erai dance practised by each social class with their respective roles, thus directly or indirectly creating ethnopedagogical practices. Then, a conservation strategy involving ethnopedagogical practices in erai-erai dance is implemented using social media. The discussion above shows the contribution of research, although, on the other hand, this research has many weaknesses
Flood Impacts on Net Ecosystem Exchange in the Midwestern and Southern United States in 2019

Climate extremes such as droughts, floods, heatwaves, frosts, and windstorms add considerable variability to the global year‐to‐year increase in atmospheric CO2 through their influence on terrestrial ecosystems. While the impact of droughts on terrestrial ecosystems has received considerable attention, the response to flooding is not well understood. To improve upon this knowledge, the impact of the 2019 anomalously wet conditions over the Midwest and Southern US on CO2 vegetation fluxes is examined in the context of 2017–2018 when such precipitation anomalies were not observed. CO2 is simulated with NASA's Global Earth Observing System (GEOS) combined with the Low‐order Flux Inversion, where fluxes of CO2 are estimated using a suite of remote sensing measurements including greenness, night lights, and fire radiative power as well as with a bias correction based on insitu observations. Net ecosystem exchange CO2 tracers are separated into the three regions covering the Midwest, South, and Eastern Texas and adjusted to match CO2 observations from towers located in Iowa, Mississippi, and Texas. Results indicate that for the Midwestern region consisting primarily of corn and soybeans crops, flooding contributes to a 15%–25% reduction of annual net carbon uptake in 2019 in comparison to 2017 and 2018. These results are supported by independent reports of changes in agricultural activity. For the Southern region, comprised mainly of non‐crop vegetation, annual net carbon uptake is enhanced in 2019 by about 10%–20% in comparison to 2017 and 2018. These outcomes show the heterogeneity in effects that excess wetness can bring to diverse ecosystems.
Current Trends for Delirium Screening within the Emergency Department

Delirium is an acute neurological disorder that involves attention and cognition. It is associated with a high risk of morbidity and mortality among older people (>65 years old). In the context of the Emergency Department (ED), it is frequently experienced by patients but often not recognized. Literature studies have identified some screening instruments for an initial evaluation of delirium. Most of these tools have not been validated yet in the context of emergencies, but, in other settings, they were very useful for assessing and maximizing the recognition of this condition among older patients. We conducted a review of the literature, including randomized control trials, clinical and observational studies, and research studies published in recent years, confirming that most of the screening tools for delirium used in the intensive care unit (ICU) or the geriatric department have not been tested in the ED, and the ideal timing and form of the delirium assessment process for older adults have not been defined yet. The aim of our review is to summarize the updated evidence about the screening tools for delirium in the context of the ED, due to the fact that overcrowding of the ED and the stressful condition of emergency situations (that contribute to the onset of delirium) could expose older patients to a high risk of complications and mortality if delirium is not promptly recognized. In conclusion, we support the evidence that delirium is a current and real condition that emergency physicians have to face daily, and we are aware that more research is needed to explore this field in order to improve the overall outcomes of older patients admitted to the ED.