Patterns Of Occurrence Research Articles

Mining, farming, and diplomacy. Understanding the human landscape of Bronze Age Sardinia (Italy) through geospatial analysis

Human agency on landscape modification and land use is often seen in terms of socio-economic opportunities vs. natural constraints. In the study of prehistoric cultures this is both a strong source of information about sustenance strategies and community behaviours, and a subject potentially easy to analyse within a limited set of physical and social parameters. The recent advancements in the use of spatial analysis tools in landscape archaeology allow to obtain ever more precise models. However, studies that compare at the same time the geological landscape and social elements are very scarce. We used Point Pattern Analysis and Modelling to investigate megalithic structures (nuraghes) in Bronze Age southwestern Sardinia (Italy) and identify correlations between their spatial patterns and a set of covariates encompassing both environmental (i.e. topography and geological resources) and cultural factors. The models which best represent pattern distribution come from the combination of covariates from both groups.The models highlight a close distance from known ore deposits and show a clear dependence of Nuragic populations to ore extraction and metallurgy. The availability of fertile soils with moderate permeability and moderately low pH is also significant, as well as a preference to prominent locations with a positive correlation with the Topographic Position Index and the Convexity Index. From a cultural standpoint, we observed a consistent aggregation of simple nuraghes around complex nuraghes at mid-short distances. The occurrence of polycentric patterns can be explained either by the former emerging from the presence of the latter or vice versa, and is typically associated with a loosely stratified social structure devoid of strong hierarchies. These results underscore the efficacy of spatial analysis in disentangling and juxtaposing the physical and social factors influencing the distribution of past culture, and offer new insight on the development of Bronze Age societies in their geographical context.

Statistical characteristics of large-scale objective tonic-clonic seizure records from medical smartwatches used in daily life.

This study aimed to assess whether population-level patterns in seizure occurrence previously observed in self-reported diaries, medical records, and electroencephalographic recordings were also present in tonic-clonic seizure (TCS) diaries produced via the combined input of a US Food and Drug Administration-cleared wristband with an artificial intelligence detection algorithm and patient self-reports. We also investigated the characteristics of patient interactions with wearable seizure alerts. We analyzed wristband data from patients with TCSs who had at least three reported TCSs over a minimum of 90 days. We quantified TCS frequency and cycles, and the relationship between the mean and variability of monthly TCS counts. We also assessed interaction metrics such as false alarm dismissal and seizure confirmation rates. Applying strict criteria for usable data, we reviewed 137 490 TCSs from 3012 patients, with a median length of TCS alert records of 445 days (range = 90-1806). Analyses showed consistency between prior diary studies and the present data concerning (1) the distribution of monthly TCS frequency (median = 3.1, range = .08-26); (2) the linear relationship (slope = .79, R2 = .83) between the logarithm of the mean and the logarithm of the SD of monthly TCS frequency (L-relationship); and (iii) the prevalence of multiple coexisting seizure cycles, including circadian (84.0%), weekly (24.6%), and long-term cycles (31.1%). Key population-level patterns in seizure occurrence are recapitulated in wrist-worn device recordings, supporting their validity for tracking TCS burden. Compared to other approaches, wearables can provide noninvasive, objective, long-term data, revealing cycles in seizure risk. However, improved patient engagement with wristband alerts and further validation of detection accuracy in ambulatory settings are needed. Together, these findings suggest that data from smart wristbands may be used to derive features of TCS records and, ultimately, facilitate remote monitoring and the development of personalized forecasting tools for TCS management. Our findings may not generalize to other types of seizures.

Diverse baleen whale acoustic occurrence around two sub-Antarctic islands: A tale of residents and visitors

Knowledge on the occurrence and behaviour of baleen whales around sub-Antarctic regions is limited, and usually based on short, seasonal sighting research from shore or research vessels and whaling records, neither of which provide accurate and comprehensive year-round perspectives of these animals’ ecology. We investigated the seasonal acoustic occurrence and diel vocalizing pattern of baleen whales around the sub-Antarctic Prince Edward Islands (PEIs) using passive acoustic monitoring data from mid-2021 to mid-2023, detecting six distinct baleen whale songs from Antarctic blue whales, Madagascan pygmy blue whales, fin whales, Antarctic minke whales, humpback whales, and sei whales. Antarctic blue and fin whales were detected year-round whereas the other species’ songs were detected seasonally, including a new Antarctic minke whale bio-duck song sub-type described here for the first time. Antarctic minke and sei whales were more vocally active at night-time whereas the other species had no clear diel vocalizing patterns. Random forest models identified month and/or sea surface temperature as the most important predictors of all baleen whale acoustic occurrence. These novel results highlight the PEIs as a useful habitat for baleen whales given the number of species that inhabit or transit through this region.

Elastic-Degenerate String Matching with 1 Error or Mismatch

An elastic-degenerate (ED) string is a sequence of n finite sets of strings of total length N, introduced to represent a set of related DNA sequences, also known as a pangenome. The ED string matching (EDSM) problem consists in reporting all occurrences of a pattern of length m in an ED text. The EDSM problem has recently received some attention by the combinatorial pattern matching community, culminating in an O~(nmω-1)+O(N)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {\ ilde{O}}(nm^{\\omega -1})+\\mathcal {O}(N)$$\\end{document}-time algorithm [Bernardini et al., SIAM J. Comput. 2022], where ω\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\omega $$\\end{document} denotes the matrix multiplication exponent and the O~(·)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {\ ilde{O}}(\\cdot )$$\\end{document} notation suppresses polylog factors. In the k-EDSM problem, the approximate version of EDSM, we are asked to report all pattern occurrences with at most k errors. k-EDSM can be solved in O(k2mG+kN)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(k^2mG+kN)$$\\end{document} time, under edit distance, or O(kmG+kN)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(kmG+kN)$$\\end{document} time, under Hamming distance, where G denotes the total number of strings in the ED text [Bernardini et al., Theor. Comput. Sci. 2020]. Unfortunately, G is only bounded by N, and so even for k=1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$k=1$$\\end{document}, the existing algorithms run in Ω(mN)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\varOmega (mN)$$\\end{document} time in the worst case. In this paper we make progress in this direction. We show that 1-EDSM can be solved in O((nm2+N)logm)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}((nm^2 + N)\\log m)$$\\end{document} or O(nm3+N)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(nm^3 + N)$$\\end{document} time under edit distance. For the decision version of the problem, we present a faster O(nm2logm+Nloglogm)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(nm^2\\sqrt{\\log m} + N\\log \\log m)$$\\end{document}-time algorithm. We also show that 1-EDSM can be solved in O(nm2+Nlogm)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\mathcal {O}(nm^2 + N\\log m)$$\\end{document} time under Hamming distance. Our algorithms for edit distance rely on non-trivial reductions from 1-EDSM to special instances of classic computational geometry problems (2d rectangle stabbing or 2d range emptiness), which we show how to solve efficiently. In order to obtain an even faster algorithm for Hamming distance, we rely on employing and adapting the k-errata trees for indexing with errors [Cole et al., STOC 2004]. This is an extended version of a paper presented at LATIN 2022.

Late Hepatocellular Carcinoma Occurrence in Patients Achieving Sustained Virological Response After Direct-Acting Antiviral Therapy: A Matter of Follow-Up or Something Else?

Background: Despite achieving a sustained virological response (SVR) with direct-acting antivirals (DAAs), an unexpected increase in the occurrence rate of hepatocellular carcinoma (HCC) has been observed among HCV-treated patients. This study aims to assess the long-term follow-up of HCV patients treated with DAAs who achieved an SVR to investigate the potential for late-onset HCC. Methods: In this prospective multicenter study, we enrolled consecutive HCV patients treated with DAAs following Italian ministerial guidelines between 2015 and 2018. Exclusion criteria included active HCC on imaging, prior HCC treatment, HBV or HIV co-infection, or liver transplant recipients. Monthly follow-ups occurred during treatment, with subsequent assessments every 3 months for at least 48 months. Abdominal ultrasound (US) was performed within two weeks before starting antiviral therapy, supplemented by contrast-enhanced ultrasonography (CEUS), dynamic computed tomography (CT), or magnetic resonance imaging (MRI) to evaluate incidental liver lesions. Results: Of the 306 patients completing the 48-months follow-up post-treatment (median age 67 years, 55% male), all achieved an SVR. A sofosbuvir-based regimen was administered to 72.5% of patients, while 20% received ribavirin. During follow-up, late-onset HCC developed in 20 patients (cumulative incidence rate of 6.55%). The pattern of HCC occurrence varied (median diameter 24 mm). Multivariate and univariate analyses identified liver stiffness, diabetes, body mass index, and platelet levels before antiviral therapy as associated factors for late HCC occurrence. Conclusions: Our findings suggest that late HCC occurrence may persist despite achieving SVR. Therefore, comprehensive long-term follow-up, including clinical, laboratory, and expert ultrasonography evaluations, is crucial for all HCV patients treated with DAAs.

Fracture Behavior of a 2D Imine-Based Polymer.

2D polymers have emerged as a highly promising category of nanomaterials, owing to their exceptional properties. However, the understanding of their fracture behavior and failure mechanisms remains still limited, posing challenges to their durability in practical applications. This work presents an in-depth study of the fracture kinetics of a 2D polyimine film, utilizing in situ tensile testing within a transmission electron microscope (TEM). Employing meticulously optimized transferring and patterning techniques, an elastic strain of ≈6.5% is achieved, corresponding to an elastic modulus of (8.6 ± 2.5) GPa of polycrystalline 2D polyimine thin films. In step-by-step fractures, multiple cracking events uncover the initiation and development of side crack near the main crack tip which toughens the 2D film. Simultaneously captured strain evolution through digital image correlation (DIC) analysis and observation on the crack edge confirm the occurrence of transgranular fracture patterns apart from intergranular fracture. A preferred cleavage orientation in transgranular fracture is attributed to the difference in directional flexibility along distinct orientations, which is substantiated by density functional-based tight binding (DFTB) calculations. These findings construct a comprehensive understanding of intrinsic mechanical properties and fracture behavior of an imine-linked polymer and provide insights and implications for the rational design of 2D polymers.

Chloropropanols and Their Esters in Food: An Updated Review.

Chloropropanols, their fatty acid esters, and glycidol and its fatty acid esters (GEs) are process contaminants in foods that pose potential health risks. These contaminants typically arise during the deodorization process of vegetable oils, particularly in high concentrations within oils like palm oil and products derived from them, such as margarine, baked goods, pastries, and infant formula. Chloropropanol esters and GE can hydrolyze under the influence of lipases, forming chloropropanols. Elevated temperatures during food production can lead to the release of free 3-chloro-1,2-propanediol (3-MCPD) or free 2-chloro-1,3-propanediol (2-MCPD) in products containing both fat and salt. The exposure to these contaminants, especially for infants and young children, raises concerns about potential health hazards. While extensive research has focused on 3-MCPD, 2-MCPD, and GE, knowledge regarding other chloropropanols such as 1,3-dichloro-2-propanol (1,3-DCP), 2,3-dichloro-1-propanol (2,3-DCP), and their fatty acid esters remains limited. This review aims to provide a comprehensive overview encompassing formation mechanisms, analysis methods, toxicological implications, occurrence patterns, exposure levels, mitigation strategies, and legislative considerations concerning these contaminants.

Wastewater-based epidemiology to assess pharmaceutical consumption. Spanish perspective

Wastewater-based epidemiology (WBE) is a well-established approach that can provide objective and real-time data on the consumption of substances such as pharmaceuticals. However, most of the studies reported so far compares consumption data obtained using WBE with those derived from prescription data from public health systems, which is often incomplete and might represent a source of uncertainty.This study aims to compare the measured pharmaceutical consumption back calculated with the WBE approach with consumption derived from dispensed pharmaceuticals in two regions of Spain, managed by two different Health Systems. To do so, a group of 17 pharmaceuticals, including the most representative ones of every therapeutic family, were monitored in influent wastewater (IWW) samples collected over a week campaign in spring 2022 at four different wastewater treatment plants (WWTPs) in Spain: two WWTPs in Madrid city (center of Spain) and two WWTPs in Catalonia (Northeast of Spain).Population-normalized daily loads (PNDL) revealed that the patterns of pharmaceutical occurrence in the different WWTPs are very similar, being acetaminophen, 4-acetamidoantipyrine and valsartan the pharmaceuticals with the highest PNDL values: 17162 ± 1457 mg day−1 1000 inh−1 for acetaminophen, 2365 ± 696 and 2429 ± 263 mg day−1 1000 inh−1 for 4-acetamidoantipyrine, 2006 ± 541 and 2041 ± 352 mg day−1 1000 inh−1 for valsartan.Pharmaceutical PNLDs were then transformed into measured pharmaceutical consumption (MC) and compared with dispensed consumption (DC) data obtained from the pharmacies in the catchment area where the WWTPs are located. A ratio MC/DC within 0.8 to 1.2 was obtained for 11 out of the 17 studied pharmaceuticals. Highlighting a match in all the cardiovascular system pharmaceuticals, with the exception of losartan (1.29–1.39 ratio) and valsartan (1.35–1.43) in all WWTPs. In summary, the degree of correlation between MC/DC is higher than those previously reported comparing with the prescribed pharmaceutical consumption.

Quantifying urban climate response to large-scale forcing modified by local boundary layer effects

Over the past two decades, the joint manifestation of global warming and rapid urbanization has significantly increased the occurrence of heatwaves and the formation of urban heat islands in temperate cities. Consequently, this synergy has amplified the frequency and duration of periods with tropical nights (TNs) in these urban areas. While the occurrences of such extreme events demonstrate irregular and nonlinear annual patterns, they consistently manifest a discernible rising decadal trend in local or regional climatic data. In urban regions situated amidst hilly or mountainous landscapes, changing wind directions—often associated with uphill or downhill thermal flows—profoundly impact the spread and dispersion of heat-related pollution, creating unique natural ventilation patterns. Using the Lausanne/Pully urban area in Switzerland as examples of hilly and lakeshore temperate cities, this study explores the influence of wind patterns and natural urban ventilation on the nonlinearity of recorded climatic data within an urban environment. This study integrates a mesoscale numerical weather prediction model (COSMO-1), a microscale Computational Fluid Dynamics (CFD) model, field observations, variational mode decomposition technique, and statistical analysis to investigate how wind speed and direction critically influence the nonlinearity of recorded long-term trends of extreme events, specifically focusing on the frequency and duration of TNs in lakeshore and hilly cities. The results strongly indicate a direct correlation between the frequency of TNs and the occurrence of specific moderate wind patterns. These wind patterns are exclusively captured by the microscale CFD model, unlike the mesoscale model, which neglects both urban morphology and complex hilly terrains. The impact of temporal and spatial variability of the wind field on long-term observations at fixed measurement stations suggests that caution should be exercised when relying on limited spatial measurement points to monitor and quantify long-term urban climate trends, particularly in cities located in complex terrains.

Using autonomous recording units to identify and monitor western yellow‐billed cuckoo habitat

AbstractAutonomous recording units (ARUs) paired with signal classification software can be used to detect species‐specific calls, making them useful for evaluating patterns in avian occurrence and activity. However, classification of target signals is not always reliable and may be especially challenging for species that vocalize infrequently. We assessed the use of ARUs to identify and monitor habitat for a cryptic and federally threatened distinct population segment, the western yellow‐billed cuckoo (Coccyzus americanus) in mountainous xeroriparian drainages. Using Kaleidoscope Pro, we developed a call‐classifier and processed acoustic data collected in sites also surveyed using traditional human‐observer methods, applying the same spatial and temporal detection criteria to estimate breeding territories for each method. The classifier detected a total of 4,061 true positive calls at 4 sites, had an overall precision score of 0.07, recall score of 0.09, and F‐score (beta = 1) of 0.08, indicating high false positive and false negative classification rates. Our results were, however, consistent with other ARU studies of rare and cryptic species and ARUs estimated occupancy as effectively as human surveys with as little as 2 hours of daily recording. Total detections varied among sites, likely due to differences in cuckoo population densities and the interaction between topography and ARU detection space. Our results suggest that despite performance shortcomings of call‐classifiers, ARUs can be effective for monitoring cuckoos, with potential for providing higher resolution temporal and spatial information on activity and habitat use and may be particularly effective in remote locations where cuckoos often occur.

Molecular characterization to study the genetic diversity of begomoviruses occurring in the major chilli growing areas of Tamil Nadu state of India.

Chilli leaf curl disease (ChiLCD), which is a significant problem in chilli cultivation, is caused by begomoviruses that are transmitted by the whitefly Bemisia tabaci. This disease leads to severe impacts on crop yields. To determine the incidence of begomovirus in the chilli crop, infected chilli leaf samples exhibiting symptoms such as curling, yellowing, reduced leaf size, and overall stunted growth were collected from various districts of Tamil Nadu, namely, Coimbatore, Dharmapuri, Kancheepuram, Karur, Salem, Krishnagiri, Thoothukudi, Thiruvallur, Tiruchirappalli, Virudhunagar, Tiruvannamalai, Tenkasi, and Vellore, during the years 2018-2022. To determine the complete genome sequence of the begomoviruses, the rolling circle amplification (RCA) method was used to clone and sequence thebegomovirus genomes from the chilli samples collectedfrom various districts of Tamil Nadu. Here we characterized 17 DNA A genome sequences and 12 betasatellite sequences. BLAST results of the DNA A genome sequences revealed nucleotide identities ranging from 94.2 to 99.7% with five distinct begomovirus species of chilli, namely, chilli leaf curl Salem virus (HM007119), chilli leaf curl virus Bhavanisagar (NC_055130), chilli leaf curl Ahmedabad virus (MW795666), chilli leaf curl virus (NC_055131), and chilli leaf curl Sri Lanka virus (JN555600). BLAST results of the betasatellite sequences showed nucleotide identities of 96 to 98.8% with the tomato leaf curl Bangladesh betasatellite (MZ151286). In the present study, five distinct begomovirus species and one associated betasatellite were found to infect chilli crops in Tamil Nadu. This finding indicates a changing pattern of begomovirus occurrence in the different districts of Tamil Nadu. This study highlights the prevalence of chilli-infecting begomoviruses in the major chilli growing districts of Tamil Nadu, the identification of begomovirus species, and the significance of understanding and managing these viruses to safeguard chilli cultivation in the region.

Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019-2021.

The purpose of this study was to determine whether there were any TB clusters in Aceh Province, Indonesia and their temporal distribution during the period of 2019-2021. A spatial geo-reference was conducted to 290 sub-districts coordinates by geocoding each sub-district's offices. By using SaTScan TM v9.4.4, a retrospective space-time scan statistics analysis based on population data and annual TB incidence was carried out. To determine the regions at high risk of TB, data from 1 January 2019 to 31 December 2021 were evaluated using the Poisson model. The likelihood ratio (LLR) value was utilized to locate the TB clusters based on a total of 999 permutations were performed. A Moran's I analysis (using GeoDa) was chosen for a study of both local and global spatial autocorrelation. The threshold for significance was fixed at 0.05. At the sub-district level, the spatial distribution of TB in Aceh Province from 2019-2021 showed 19 clusters (three most likely and 16 secondary ones), and there was a spatial autocorrelation of TB. The findings can be used to provide thorough knowledge on the spatial pattern of TB occurrence, which is important for designing effective TB interventions.

Investigation on the Distribution of Antibiotic Resistant Bacteria In Dry Fish of Chalan Beel Area From Northwestern Part of Bangladesh

Dried fish, a valuable animal protein source, may pose health risks due to microbial contamination influenced by water quality, hygiene practices, handling, packaging, and transportation. This research focuses on conducting an in-depth analysis of the occurrence and antibiotic resistance patterns of bacteria, identified through 16S rRNA sequencing, in different dried fish varieties obtained from the Chalan beel area in Northwestern Bangladesh. For the purpose of this study, homogenization of collected samples was carried out and resulting homogenates were refrigerated at a temperature of -20°C. Then the samples were subjected to a series of 10-fold dilutions and spread over 1.5% nutrient agar supplemented with Tetracycline. Thereafter, plates were incubated at 37°C for a duration of 24 hours to form bacterial colonies. Twelve aseptically collected dried fish samples had a total viable count ranging from 2.0 × 10² to 6.5 × 10⁵ CFU/ml, with tetracycline influence at 32 µg/ml (7 × 10² to 5.4 × 10³ CFU/ml) and 64 µg/ml (3.0 × 10² to 2.1 × 10³ CFU/ml). Notably, Tengra fish (Mystus sp.) exhibited the highest viable count 6.5 × 105 CFU/ml (Control), while Darikana (Esomus danricus), Chela (Salmostoma phulo), Moa (Amblypharyngodon mola), and Guchi (Mastacembelus pancalus) fish showed the lowest count (3.0 × 10² CFU/ml) at a Tetracycline concentration of 64 µg/ml. Moreover, microbial analysis using 16S rRNA gene sequencing identified twelve unique bacteria belong to genera. The most prevalent genus appears to be Enterobacter, identified by 6 strains. These include Enterobacter hormaechei strains UCHE20, RB13, AUH-ENM30 and 20710, Enterobacter ludwigii strain JCR-38 and Enterobacter sp. M3. Other identified genera included Klebsiella (with Klebsiella variicola and Klebsiella pneumoniae), Proteus (Proteus mirabilis), Macrococcus (Macrococcus caseolyticus), Acinetobacter (Acinetobacter johnsonii), and Bacillus (Bacillus sp.). This study provides valuable insights into the complex microbial dynamics in dried fish, emphasizing the need for enhanced food safety and public health measures. J. Bio-Sci. 32(2): 61-69, 2024

Different Types of Surface Chlorophyll Patterns of Oceanic Mesoscale Eddies Identified by AI Framework

AbstractOceanic mesoscale eddies (with scale 101–102 km) and their submesoscale fine structures (with scale 100–101 km) can effectively induce vertical motions and bring nutrients into the oceanic euphotic layer, which leaves abundant footprints on the ocean surface chlorophyll distributions and have the potential to promote primary productivity of oceanic ecosystem. In return, these surface chlorophyll footprints observed by ocean color satellites can serve as a useful tool to reveal the spatial structures of mesoscale eddies and their submesoscale fine structures. By combining artificial intelligence (AI) algorithms to develop a series of identification strategies for typical surface chlorophyll patterns around mesoscale eddies, we find that over 20% of mesoscale eddy observations exhibit identifiable typical chlorophyll patterns, which tends to regulate an increase of the surface chlorophyll concentration within the corresponding eddies, especially enhancing by about 30% in nutrient‐restricted subtropical regions compared with the background values. Based on their geometric features, typical chlorophyll patterns are primarily classified as Core, Spiral, Tail, Ring, Loop, and Eye respectively by clustering algorithm. Further spatial‐spectral analysis found that the typical patterns on eddies exhibit a much steeper wave‐number spectral slope about −3, compared to the non‐typical distributions on eddies and the non‐eddy background distribution (about −2.7–−2.2). This implies that the occurrence of different typical chlorophyll patterns may correspond to specific mesoscale and submesoscale dynamic processes.

Equine Veterinary Surveillance Network (EVSNET): Occurrence and resistance patterns in Escherichia coli isolated from equine clinical submissions

Equine Veterinary Surveillance Network (EVSNET): Occurrence and resistance patterns in <i>Escherichia coli</i> isolated from equine clinical submissions

Revisiting scale effect on joint roughness coefficient and shear strength considering sampling methods and geometric characteristics

The scale effect on shear strength of rock joints is well-documented. However, whether scale effects are negative, positive, or even exist or not is still controversial. Joint roughness significantly influences the shear strength of rock joints. Compared to the shear tests, using the joint roughness coefficient (JRC) and its roughness parameters offers a more convenient method for describing the scale effect on shear strength. However, it is crucial to understand that the scale effect mechanisms of JRC are distinct from those of shear strength. Therefore, this paper aims to clarify these distinct mechanisms. By digitally extracting roughness parameters from granite samples, it's found that the scale effect of roughness parameters mainly comes from the sampling methods and the geometric characteristics of parameters. Furthermore, a full data sampling method considering heterogeneity is proposed to obtain more representative roughness parameters. To reveal the scale effect mechanisms of shear strength, Gaussian filtering is firstly used to separate the waviness and unevenness components of roughness, facilitating a deeper understanding of the geometric characteristics of roughness. It is suggested that the wavelength of the waviness component can reflect the scale effect on shear strength. Secondly, numerical simulations of ideal artificial joint models are conducted to validate that the wavelength of the waviness component serves as the dividing point between positive and negative scale effects. The mechanical mechanisms of positive and negative scale effects are also interpreted. Finally, these mechanisms successfully elucidate the occurrence patterns of the scale effect on natural joint profiles.

Occurrence pattern of diseases and pests in strawberry greenhouse during harvest period

Occurrence pattern of diseases and pests in strawberry greenhouse during harvest period

The recent occurrence pattern of diseases and pests in strawberry greenhouse of Chungnam province, South Korea, during nursery period

The recent occurrence pattern of diseases and pests in strawberry greenhouse of Chungnam province, South Korea, during nursery period

Priapism Presentations in a Saudi Arabian Emergency Department: A Retrospective Study at a Tertiary Care Hospital.

To examine the distribution, clinical characteristics, and management of priapism in a Saudi Arabian tertiary care setting to provide a regional perspective. This retrospective chart review included 29 male patients presenting with priapism at a tertiary care hospital in Riyadh, Saudi Arabia, from January 2011 to June 2023. Data were collected on patient demographics, clinical presentation, treatment modalities, and outcomes. The study found recurrent episodes of priapism in many patients, with a significant number associated with hematological diseases, notably sickle cell disease. Most treatments involved non-surgical methods. A notable finding was the correlation between the duration of priapism episodes and the likelihood of hospital admissions, suggesting that prolonged episodes often required more extensive medical attention. Priapism often presents as a chronic and recurrent condition requiring personalized management strategies. This study emphasizes the importance of recognizing regional occurrence patterns to enhance the management of priapism and suggests a need for further research in regions where this condition is less common.

Magnetic resonance imaging findings in cervical pathologies and its’ correlation with patient´s body mass index in Anambra state, Nigeria: a cross-sectional study

Background: Subsequent to the multitude of cervical pathologies with aging, this study aims to determine the prevalence and pattern of magnetic resonance imaging (MRI) cervical pathologies and its correlation with body mass index (BMI). Methods: A cross-sectional retrospective study was conducted in some selected diagnostic centres in Anambra State, Nigeria using 141 MRI data that met the inclusion criteria. Data were collected from patients` request cards, MRI screening form and MRI scan reports. Both descriptive and inferential (Pearson`s correlation test) were used as tools for statistical analysis. The level of significance was set at the level of less than 0.05. Results: Out of the 141 sample size, the majority 93(66%) were males while females accounted for 48(34%). The greater number 36(25.4%) of patients were within the age range of 61-70years of age. Greater number 83 had normal BMI (18.5-&lt;25) and the least 3 were underweight (&lt;18.5), 50 were overweight (25-&lt;30) and 5 were obese (&gt;30).Out of the 141 patients, most 68(48.2%) had single pathology, 51(36.2%) had double pathologies and few patients 22(15.6%) had multiple pathologies. There was a negative correlation between pathology and BMI that is not statistically significant(r= -0.04, p = 0.63). Also, there was negative correlations between patterns of spinal involvement and BMI, which is not statistically significant ( r= -0.130, p = 0.126).Conclusion: There is prevalence of cervical pathologies mostly in males in their 6th decade and the 4th decade with more of single pattern pathologies. The common level of involvement is at C5 vertebra. Intervertebral osteochondrosis and spondylosis was found to be the commonest cervical pathology among the study population. However, there was no statistically significant correlation between cervical pathologies and its pattern of occurrence with body mass index