Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Projections of Air Pollutants Effects over Niger Delta Region Using Remotely Sensed Satellite Data

Air pollution due gas–flaring is a major concern in the Niger-Delta region of Nigeria. The short and long term effect of the massive air pollution on the life form within the area requires urgent attention because of the health implication. This research examines the impact of air pollutants in Niger-Delta region using remotely sensed satellite data. The satellite data set was obtained from CALIPSO, MODIS and ARIS. A mathematical software (MATLAB) was used to analyse the results. For Sulphur dioxide (SO2), Uyo had the highest rate of pollution (0.67DU), then Yenegoa (0.66DU), Benin (0.64DU), Asaba (0.60DU), Port Harcourt (0.58DU), Calabar (0.55DU) respectively. For Carbon dioxide (CO2), Yenegoa was the most polluted with (382.01ppmv), Port Harcourt, Calabar and Uyo all had (381.99ppmv) then Benin (381.77ppmv) and Asaba (381.53ppmv) respectively. For Nitrogen dioxide (NO2), Port Harcourt had the highest mean value with (54.65mol/cm2), Asaba (51.05mol/cm2), Uyo (49.08mol/cm2),Calabar (47.84mol/cm2), Yenagoa (46.73mol/cm2), Benin (43.22mol/cm2) respectively. For Methane (CH4), the stations with the highest rate of pollution were Port Harcourt, Yenagoa and Uyo with (3.86E+19mol/cm2), Benin and Asaba had (3.8E+19mol/cm2) while Calabar (3.76E+19mol/cm2). Mathematical projections were made to capture the dilemma- people in this region might encounter in the nearest future.
Creating a Framework for Treating Autoimmune Gastritis—The Case for Replacing Lost Acid

Autoimmune gastritis (AIG) is characterized by the destruction of gastric parietal cells, resulting in hypochlorhydria and eventual achlorhydria, as oxyntic glands in the corpus are destroyed and become atrophic. The permanent loss of gastric acid has many impacts—both theoretical and documented. The most concerning of these are hypergastrinemia and increased N-nitroso compounds, both of which increase the risk of gastric cancers. While known deficiencies of B12 and iron are often replaced in AIG, acid is not. Moreover, patients with AIG are often prescribed acid suppression for a stomach that is decidedly no longer acidic, worsening the sequelae of gastric atrophy. Betaine hydrochloride (BHCL) is a short-acting acidifying agent, available over the counter in capsule form. Mealtime acid supplementation has an historic basis and could ameliorate many AIG-related gastrointestinal symptoms. Theoretically, acidification could also reduce the potential for hypergastrinemia and the production of N-nitroso compounds, consequently reducing the risk of gastric cancers. Supplemental vitamin C may also help in preventing gastric N-nitroso formation, regardless of the gastric pH. This narrative review describes the functions of gastric acid in gastrointestinal and immune health, documents the effects of hypochlorhydria in AIG, and proposes potential options for safely re-establishing the acid milieu of the stomach for patients with AIG.
Synthesis of Modified Polyvinyl Pyrrolidone (PVP) Silver Nanoparticles Using Soursop (Annona muricata Linn) Leaf Extract and Its Application as a Heavy Metal Colorimetric Sensor

This study aims to analyze the characteristics and performance of silver nanoparticles (AgNP) synthesized using soursop leaf extract bioreductor modified with the addition of polyvinyl pyrrolidone (PVP) stabilizer as a colorimetric sensor for heavy metal ions. The synthesis of silver nanoparticles was carried out by reducing AgNO3 using soursop leaf extract (Annona muricata Linn) bioreductor modified with the addition of PVP as stabilizer. The results showed that the optimum synthesis volume ratio of AgNP synthesis was 0.7 mL of soursop leaf extract: 10 mL AgNO3 with the addition of 3% PVP stabilizer. The formation of AgNP was characterized by a change in the color of the solution from yellow to brownish with a surface plasmon resonance peak at a maximum wavelength of 438 nm. Fourier-transform infrared spectroscopy studies showed hydroxyl groups (-OH) and carbonyl groups (C=O) play a role in the reduction process of silver ions. Particle size analysis results demonstrated an average particle size of 71.5 nm with a polydispersity index value of 0.364. The results of the colorimetric analysis showed that the synthesized AgNPs proved to be highly selective towards Cu metal ions.
Multi-grained alignment method based on stable topics in cross-social networks

The user alignment of cross-social networks is divided into user and group alignments, respectively. Obtaining users’ full features is difficult due to social network privacy protection policies in user alignment mode. In contrast, the alignment accuracy is low due to the large number of edge users in the group alignment mode. To resolve this issue, First, stable topics are obtained from user-generated content (UGC) based on embedded topic jitter time, and the weight of user edges is updated by using vector distances. An improved Louvain algorithm, called Stable Topic-Louvain (ST-L), is designed to accomplish multi-level community detection without predetermined tags. It aims to obtain fuzzy topic features of the community and finalize the community alignment across social networks. Furthermore, iterative alignment is executed from coarse-grained communities to fine-grained sub-communities until user-level alignment occurs. The process can be terminated at any layer to achieve multi-granularity alignment, which resolves the low accuracy issue of edge user alignment at a single granularity and improves the accuracy of user alignment. The effectiveness of the proposed method is shown by implementing real datasets.
Vita e morte dei big data. Il contributo semiotico dal data mining all'interpretazione

To focus on the entire life-cycle of Big Data implies a breaking down of aspects relating to texts, narrative mechanisms, risks linked to omission and manipulation. Behind the progressive emergence of sense there is a process of interpretation, translation, disambiguation of texts. The issue of Big Data is not only an issue of increasing complexity of available texts (of which Big Data constitutes just one aspect), but it is also the reflection of cultural change that requires the extension of the analytical approach to the context in which data are created and used. Who uses Big Data? The semiotic contribution, from data mining to the interpretation, measures its validity in the configuration of the systemic analysis: from the breaking down of the text in its basic recurrent elements to the relationship and comparison with other texts in the specific context in which they circulate and the situations in which they are used and which influence their signification. “È il flusso continuo della folla, tessuto fitto come una stoffa senza strappi né rammendi, composto da una moltitudine di eroi quantificati che perdono nome e volto diventando il linguaggio mobile di calcoli e di razionalità che non appartengono a nessuno. Fiumi di numeri lungo le strade. ” Michel De Certeau (1990) 1. Big Data e Humanities. Che cosa significa analizzare i dati nel segno della cultura Ogni volta che una persona usa uno smartphone, un bancomat, un navigatore GPS, è al contempo soggetto e oggetto di dati. In verità, usare attivamente il dispositivo non è più necessario, basta averlo in tasca mentre si cammina perché una compagnia telefonica locale possa “mappare” i tuoi percorsi1. La storia di quello che sembra un fenomeno piuttosto recente inizia tra gli anni Trenta e Quaranta con il boom delle informazioni, collegato all’incremento della popolazione negli Stati Uniti2, mentre il 1 Il riferimento è al progetto “Barcelona Cruise Passenger Behaviour”, Telefonicacatalunya.com, “Big Bang Data; un mundo dadificado e hiperconectado”, 19 maggio 2014 http://telefonicacatalunya.com/big-bang-data-un-mundodatificado-e-hiperconectado/
Automated Linkedin Analysis to Determine Psychometric Characteristics of a Client

The purpose of this paper is to study programs for identifying the psychometric characteristics of a client based on his LinkedIn profile, test these programs and compare their functionality. We studied 52 programs for analyzing profiles of the social network LinkedIn. Only two of these programs have the functionality of psychometric personality analysis. In-depth testing of both programs was carried out. The article presents a comparison of the results obtained by two psychometric analysis programs and provides conclusions about the reliability of the assessments. We can not only determine psychological qualities, but also understand what model of behavior our potential client has, what decisions and how prefers to make, what qualities sympathizes with in others. This approach can be simplified and automated for business thanks to programs based on artificial intelligence. The use of programs that allow you to identify the psychometric characteristics of a client based on his profile on the LinkedIn social network will make it easier to study the target audience, build a communication strategy and promotion strategy, and will be useful for any business.
Drought characterization over India under projected climate scenario

The study evaluates the drought characteristics in India over projected climatic scenarios in different time frames, that is, near‐future (2010–2039), mid‐future (2040–2069), and far‐future (2070–2099) in comparison with reference period (1976–2005). Standardized Precipitation Evapotranspiration Index (SPEI), a multi‐scalar drought index was used owing to its robustness in capturing drought conditions while accounting the temperature. Gridded rainfall and temperature data provided by India Meteorological Department (IMD) was used to perform bias correction of nine Global Climate Models (GCMs) from Coupled Model Intercomparison Project Phase 5 (CMIP5) project. Quantile mapping was used to correct the daily rainfall data at seasonal scale whereas daily temperature data was corrected at monthly scale. Multi‐Model Ensemble (MME) was prepared for different homogeneous monsoon regions of India, namely Hilly Regions (HR), Central Northeast (CNE), Northeast (NE), Northwest (NW), West Central (WC), and Peninsula (PS). Taylor diagram statistics were used for the preparation of MME. The regional climate cycle obtained from MME was found to be in good agreement with observed cycle derived from IMD data. The Mann–Kendal trend test was employed to detect the trend in drought severity and magnitude whereas L‐moments based frequency analysis was used to assess the magnitude of extreme drought severity under different time frames. The study reveals an increasing trend in drought severity, duration, occurrences, and the average length of drought under warming climate scenarios. Furthermore, the area under “above moderate drought” (i.e., severe and extreme drought combined) condition was also found to be increasing in projected climate.
Habitat Geology Influences Intraspecific Variation in the Speckling Patterns of Blue Tit Cyanistes caeruleus and Great Tit Parus major Eggs

Abstract. Birds' eggs exhibit a small amount of interspecific diversity in terms of their colors and patterning but considerable variation occurs at the intraspecific level. Here, we examined the contributions of habitat geology, first egg dates, clutch sizes and year in determining intraspecific variation in the intensity of speckling patterns on the eggs of Blue Tits Cyanistes caeruleus and Great Tits Parus major breeding in deciduous woodlands with underlying calcium-rich limestone and calcium-poor gritstone rock types in northwest England. Eggshell speckling patterns varied significantly in relation to habitat geology, with both species laying more heavily speckled eggs in woodlands with gritstone rock types than in woodlands with limestone rock types, even though the weights of laying females and the availability of aerial invertebrates never differed between the two habitat geology types. Meanwhile, there was no variation in eggshell speckling patterns in both species in relation to first egg dates, clutch sizes or year. The eggs of both species were probably more speckled in the calcium-poor gritstone woodland because laying females were compensating for reduced eggshell strength in those woodland areas where there was low calcium availability by depositing more protoporphyrin-based pigments, that constitute the darker speckles and form at locations on the egg where the shell is thinnest, than conspecifics laying eggs in the calcium-rich limestone woodland. We thus conclude that micro-geographic heterogeneity in habitat geology types significantly influence the eggshell patterning of birds' eggs and more broadly our study confirms that environmental factors strongly influence intraspecific variation in avian eggshell patterning.
Concentración, segregación y movilidad residencial de los extranjeros en Barcelona

Foreigners’ residential behaviour in Barcelona: concentration, segregation and residential change Three aspects of foreigners’ residential mobility in the city of Barcelona are studied in this paper: territorial concentration, segregation and residential change within the metropolitan region. To obtain a global view, these three elements are followed for a decade. Several data bases, specifying the behaviour of major nationalities, are used. Results firstly show that foreigners are gradually moving out of the historical centre and into the periphery. Secondly, that there is a strong intra-metropolitan mobility, particularly so in the municipalities nearest to the central city. Finally, as foreigners are more widely distributed throughout the territory, they are also becoming less segregated.
Detection of Heartbeat Components Through Doppler Radar Systems Using Semantic Segmentation and Non-Harmonic Analysis

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an increased focus on the routine analysis of vital signs such as breathing and pulse rates. Radar technology has proven effective for non-contact, long-term monitoring of these vital signs, with frequency analysis being the default method for processing signals from Doppler radar owing to their inherent noise. However, conventional analysis approaches often struggle to detect weak signals buried within the sidelobes of other signals. Some data analysis techniques for Doppler radar rely on machine learning, but they struggle to generate clear time-frequency diagrams, complicating heartbeat detection. In this study, we employed non-harmonic analysis (NHA) as a frequency analysis method to mitigate sidelobe interference and implemented semantic segmentation for precise heartbeat detection. To validate the proposed approach, we conducted heartbeat detection tests both in stationary, low-noise conditions and in a noisy driving simulation environment. The results indicated that the NHA method successfully analyzed heartbeat harmonics, suggesting its potential for detecting heartbeat components through machine learning. To validate these findings, we determined the detection accuracy by comparing true and false positive rates, allowing us to quantify the detectability of heartbeats under both resting and driving simulation conditions.
Detection of Cannabinoids in Oral Fluid Specimens as the Preferred Biological Matrix for a Point-of-Care Biosensor Diagnostic Device

An increasing number of countries have started to decriminalize or legalize the consumption of cannabis for recreational and medical purposes. The active ingredients in cannabis, termed cannabinoids, affect multiple functions in the human body, including coordination, motor skills, memory, response time to external stimuli, and even judgment. Cannabinoids are a unique class of terpeno-phenolic compounds, with 120 molecules discovered so far. There are certain situations when people under the influence of cannabis may be a risk to themselves or the public safety. Over the past two decades, there has been a growing research interest in detecting cannabinoids from various biological matrices. There is a need to develop a rapid, accurate, and reliable method of detecting cannabinoids in oral fluid as it can reveal the recent intake in comparison with urine specimens, which only show a history of consumption. Significant improvements are continuously made in the analytical formats of various technologies, mainly concerning improving their sensitivity, miniaturization, and making them more user-friendly. Additionally, sample collection and pretreatment have been extensively studied, and specific devices for collecting oral fluid specimens have been perfected to allow rapid and effective sample collection. This review presents the recent findings regarding the use of oral fluid specimens as the preferred biological matrix for cannabinoid detection in a point-of-care biosensor diagnostic device. A critical review is presented, discussing the findings from a collection of review and research articles, as well as publicly available data from companies that manufacture oral fluid screening devices. Firstly, the various conventional methods used to detect cannabinoids in biological matrices are presented. Secondly, the detection of cannabinoids using point-of-care biosensors is discussed, emphasizing oral fluid specimens. This review presents the current pressing technological challenges and highlights the gaps where new technological solutions can be implemented.
The Effect of Water Hyacinth (Eichhornia crassipes) Organic Fertilizer on The Vegetative Growth of Carrot (Daucus carota), Royal Chantenay Variety

This study conducted in Gasabo District, Nyacyonga marshland aimed to investigate the effect of water hyacinth (Eichhornia crassipes) organic fertilizer on the vegetative growth of the Royal Chantenay variety of carrot (Daucus carota). The experiment was conducted using a randomized complete block design (RCBD) with three replications. Four treatments were applied: T1 (control, no fertilizer), T2 (NPK 17-17-17), T3 (25% water hyacinth organic fertilizer + 75% NPK 17-17-17), and T4 (50% water hyacinth organic fertilizer + 50% NPK 17-17-17). The growth parameters assessed included plant height, leaf number, and root diameter. Results showed that the application of water hyacinth organic fertilizer significantly influenced the vegetative growth of Royal Chantenay carrot plants. T3 and T4 treatments enhanced plant height, leaf number, and root diameter compared to the control (T1) and NPK 17-17-17 (T2). The highest vegetative growth parameters were observed in T4, indicating that a higher concentration of water hyacinth organic fertilizer positively affected the growth of carrot plants. The findings suggest that water hyacinth organic fertilizer can be a viable alternative to chemical fertilizers in promoting the vegetative growth of Royal Chantenay carrot plants. The utilization of water hyacinth as an organic fertilizer can contribute to sustainable agricultural practices by reducing dependence on synthetic inputs.
The Influence of Green Marketing in Clothing Products on the Buying Habits of Teenage Girls

Green Marketing is a strategic marketing approach that an increasing number of companies are using to attract consumers. Consequently, it has led to the widespread dishonest use of such marketing, known as greenwashing. The goal of this study was to fill the knowledge gap on the relationship between green marketing and consumption behavior within fashion, specifically pertaining to teenage girls. Thus, the results will show the extent that the issue of greenwashing impacts female adolescent consumers. A mixed method approach was utilized consisting of a content analysis on the websites of five clothing brands and an online experimental shopping simulation. The content analysis was conducted under coding guidelines which split the green marketing into three different categories: product, brand, and renewal. The qualitative data from the content analysis was used to create the shopping simulation with the three forms of green marketing and no green marketing included. A post-test survey at the end of the experiment addressed confounding variables and provided further insights. A One-Way ANOVA Statistical Analysis was applied to the results of the shopping simulation and found no statistically significant relationship between green marketing and the buying habits of teenage girls. However, while not statistically significant, product green marketing had a notably higher influence than the other three categories, giving implications for brands and future research. Further insights from the posttest survey were notable in that only about 25% of teenage girls were aware of the term greenwashing, proving its deceptiveness among a relevant demographic in fashion.
Ceftazidime/Tobramycin Co-Loaded Chitosan-Coated Zein Nanoparticles against Antibiotic-Resistant and Biofilm-Producing Pseudomonas aeruginosa and Klebsiella pneumoniae

This study aimed to co-encapsulate ceftazidime and tobramycin in zein nanoparticles coated with chitosan and to characterize and evaluate the antibacterial and antibiofilm activity against antibiotic-resistant Pseudomonas aeruginosa and Klebsiella pneumoniae. Zein nanoparticles, synthesized using the nanoprecipitation method, were characterized by their particle size (Ø), polydispersity index (PDI), zeta potential (ζ), pH, and encapsulation efficiency (%EE). The chitosan coating provided stability, and physicochemical analyses revealed chemical interactions, efficient drug encapsulation, and thermal stability. The release kinetics demonstrated controlled release in simulated gastric and intestinal pH. The antibacterial activity, assessed by minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC), indicated effectiveness against both pathogens. Antibiofilm assays, conducted using the crystal violet method, demonstrated the inhibition and eradication of biofilms. The chitosan-coated zein nanoparticles with CAZ and/or TOB exhibited Ø (315–335 nm), PDI (<0.2), ζ (+40 to +50 mV), pH (5), and %EE (>55%). Notably, the co-encapsulation formulation (CAZ–TOB–ZNP–CH) showed enhanced antibacterial and antibiofilm activities compared to the individual formulations. These findings suggest that the developed nanoparticles present a promising alternative for treating respiratory and intestinal infections caused by antibiotic-resistant and biofilm-producing P. aeruginosa and K. pneumoniae.