Specific Geographical Locations Research Articles

Identifying Specific Human Resource Management Practices for Aging Workforce in Public Organizations

Introduction: The main capital of any organization is its human resources(HR). Organizations invest substantial costs in attracting, retaining, and training individuals. Therefore, it is essential to identify and implement appropriate practices to preserve and enhance HR. Aging of employees is an inevitable phenomenon that poses challenges to all organizations, irrespective of specific geographical locations, because the employees will get old and leave the organization. This research aims to identify HR management practices for aging employees in public organizations in Jahrom City, Fars Province, Iran, in the year 2022.
 
 Methods: This study utilizes meta-synthesis and Delphi methods to extract and identify management practices for aging HR. In the meta-synthesis section, the library method was used and community under study in the Delphi section included 28 academic (university professors with doctorate degrees in HR or organizational behavior) and organizational (senior managers and HR managers of public organizations in Jahrom) experts. The research tool used in the Delphi section was a questionnaire conducted in 3 rounds.
 
 Results: Through the study of the sources using meta-synthesis method, a total of 79 organizational practices were identified, categorized into 11 main dimensions. After three rounds, a consensus was reached on 60 practices, organized into 9 main dimensions, and the Delphi rounds were concluded. In the final round, no new practices were suggested or removed. Due to the minimal differences in the Kendall coefficient among the different rounds, the Delphi rounds were concluded.
 
 Conclusion: It is necessary to plan and implement all these practices in parallel and simultaneously. However, as the most crucial management measure is planning, there is a need for planning, coordination, and harmonization at the legislative, administrative, and recruitment levels. Implementing the proposed practices through organizational experts, HR managers, and the active participation of aging employees in implementing practical practices will lead to better execution.

Establishment of the System of Sanitary and Medical Services for Workers of the Caspian-Volga Fisheries in the Second Half of the XIX - Early XX Century

The authors examine the history of the establishment of the system of sanitary inspection and medical care for workers of the Caspian-Volga fisheries. There is considered the fishing legislation of the XIX - early XX century. It is stated that, despite the approved rules, fishery workers actually had no qualified medical care, the provision of which was entrusted to the owners of the fishing business. The authors come to the conclusion that the supervision of the sanitary condition of the fisheries was not effective due to a number of reasons: unresolved personnel problems, the large territorial expanses of sanitary areas with a lack of vehicles for sanitary doctors, the difficulties of bureaucratic interaction between the Department of Fisheries and Seal Fisheries, regional authorities and owners of the fishing business, etc. The shortcomings of the sanitary and medical services for fisheries, as well as the specific geographical location and natural and climatic conditions of the Astrakhan province contributed to the wide spread of various epidemic diseases. Due to the lack of the public free healthcare system and qualified medical personnel, there emerged infectious diseases, which led to high mortality among fishery workers.

Evaluation of mycotoxins in grains sold in Idah, Ajaka and Ogbogbo areas of Nigeria.

Mycotoxin contamination in grains is a significant concern due to its adverse effects on human and animal health. Understanding the levels and patterns of mycotoxin contamination in different regions and storage conditions is crucial for developing effective control strategies. This study aimed to assess mycotoxin levels in stored and recently harvested grains in three regions (Idah, Ajaka, and Ogbogbo) and investigate the implications for food safety. The study involved the analysis of mycotoxin levels in maize, rice, sorghum, and millet using appropriate mycotoxin extraction method based on the mycotoxins of interest and a suitable HPLC system. The findings revealed the presence of mycotoxins such as aflatoxins (1±0.2-5±0.4 µg kg-1), deoxynivalenol (520±0.8-700±1.2 µg kg-1), zearalenone (200±0.4-370±0.6 µg kg-1), ochratoxins (2±0.2-4±0.3 µg kg-1), and fumonisin (0±0.0-4±0.3 µg kg-1) in both recently harvested and stored grains. Patulin was absent in most of the samples. Variations in mycotoxin levels were observed among different grains and regions, highlighting the need for targeted interventions. The European Commission mycotoxin standards in grains for human consumption are: aflatoxins 4 µg kg-1 in maize, millet and sorghum while rice is 8 µg kg-1, deoxynivalenal 1750 µg kg-1, zearalenone 100 µg kg-1, ochratoxin A 5 µg kg-1 for maize, rice and millet, then 10 µg kg-1 for sorghum. Fumonisin is 4000 µg kg-1 but no level for rice and patulin is 50 µg kg-1 for rice and none for the other grains. This study demonstrates the persistence of mycotoxin contamination in stored grains and the importance of considering specific crop types and geographical locations when addressing mycotoxin contamination. The findings underscore the significance of implementing effective control measures to mitigate mycotoxin contamination and enhance food safety. The study provides valuable insights into mycotoxin contamination and emphasizes the need for comprehensive risk assessment studies and appropriate regulatory measures.

Disentangling Jenny’s equation by machine learning

The so-called soil-landscape model is the central paradigm which relates soil types to their forming factors through the visionary Jenny’s equation. This is a formal mathematical expression that would permit to infer which soil should be found in a specific geographical location if the involved relationship was sufficiently known. Unfortunately, Jenny’s is only a conceptual expression, where the intervening variables are of qualitative nature, not being then possible to work it out with standard mathematical tools. In this work, we take a first step to unlock this expression, showing how Machine Learning can be used to predictably relate soil types and environmental factors. Our method outperforms other conventional statistical analyses that can be carried out on the same forming factors defined by measurable environmental variables.

Uncovering the Hidden Burden of Pharmaceutical Poisoning in High-Income and Low-Middle-Income Countries: A Scoping Review.

Pharmaceutical poisoning is a significant global public health concern, causing approximately 190,000 deaths annually. This scoping review aims to comprehensively map the available literature on pharmaceutical poisoning and compare patterns between high-income countries (HICs) and low-middle-income countries (LMICs). A systematic search was performed across the following databases: Embase, PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and CINAHL. Studies included were from 1 January 2011 to 31 December 2020, in English, with full text available. Seventy-nine articles were included in the study; 21 were from LMICs and 58 were from HICs. Toxic exposure was largely intentional (77%) in LMICs and accidental (68%) in HICs. Drugs acting on the nervous system were responsible for 95% of toxicities worldwide with analgesics accounting for the largest subtherapeutic group in both LMICs (40%) and HICs (58%). Notable statistics were that HICs accounted for 99% of opioid overdoses, and LMICs accounted for 19% of anti-epileptic-induced toxicities. Overall, the medical outcomes due to poisonings were generally worse in LMICs. The review provides possible interventions to target specific geographic locations, based on the trends identified, to reduce the burden worldwide. Many gaps within the literature were recognised, calling for more robust analytical research.

The sustainability of trade in wild plants-A data-integration approach tested on critically endangered Nardostachys jatamansi.

While the demand for many products from wild-harvested plants is growing rapidly, the sustainability of the associated plant trade remains poorly understood and understudied. We integrate ecological and trade data to advance sustainability assessments, using the critically endangered Nardostachys jatamansi in Nepal to exemplify the approach and illustrate the conservation policy gains. Through spatial distribution modeling and structured interviews with traders, wholesalers, and processors, we upscale district-level trade data to provincial and national levels and compare traded amounts to three sustainable harvest scenarios derived from stock and yield data in published inventories and population ecology studies. We find increased trade levels and unsustainable harvesting focused in specific subnational geographical locations. Data reported in government records and to CITES did not reflect estimated trade levels and could not be used to assess sustainability. Our results suggest that changing harvesting practices to promote regeneration would allow country-wide higher levels of sustainable harvests, simultaneously promoting species conservation and continued trade of substantial economic importance to harvesters and downstream actors in the production network. The approach can be applied to other plant species, with indication that quick and low-cost proxies to species distribution modeling may provide acceptable sustainability estimates at aggregated spatial levels.

Impacts of Climate Change on Food Security in Africa

Africa is the region with the lowest total and per capita greenhouse gas emissions in the world, but it bears the brunt of the adverse effects of climate change. Due to its special geographical location, spanning north and south of the equator, Africa has a vast territory, a large population, and a diverse climate, and its economic and social development is relatively lagging behind, especially the low urbanization and industrialization rates, a large agricultural population, and huge inter-regional climate differences. The existing research mainly focuses on the political, economic, geopolitical, and poverty, education, and health aspects of Africa. The research theme of this paper is the impact of climate change on food security in Africa; using the literature research method, we study the impact of climate change situation on food security in Africa; the purpose of the research is to draw the attention of the international community to climate change and food security; increase the attention and support to Africa, so that Africa can become better. The purpose of the study is to draw the attention of the international community to climate change and food security, and to increase the attention and support to Africa so that Africa can better adapt to the impact of climate change.

Nature, culture and well-being: Exploring the historical significance of Rosario de la Frontera thermal baths

<p>The fall of the Berlin Wall in 1989 marked a significant turning point in global politics and the recognition of pressing environmental issues. This period witnessed the emergence of conferences addressing climate change and the adoption of measures to promote sustainable development. Bruno Latour’s book “We have never been modern” (1991) reflects on this historical moment, questioning the prevailing capitalist system and emphasizing the urgent need for a paradigm shift towards ecological principles. In the present context, there is a growing consensus on the need for immediate action to protect the environment. Rising sea levels, soil degradation, melting ice caps, and the impending extinction of species highlight the gravity of the ecological crisis we face. Latour’s concept of “living in times of ecological crisis” underscores the role of culture and its pursuit of abundance and comfort in contributing to this crisis. This study focuses on the thermal baths of Rosario de la Frontera in Salta, Argentina, during two distinct periods, 1826 and 1888. By examining this specific geographical location, the research aims to explore the complex relationship between culture and nature and uncover the motivations that shaped the societal mindset of the time. The study seeks to gain insights into the perceptions of well-being that influenced the development of certain inventions and the transformation of collective lifestyles, with enduring implications for the present day.</p>

Observational Study of Self-Reported Offshore Sailing-Related Injuries in a Wide Range of Amateur and Professional Sailors

Offshore sailing yields injury risk. Unfortunately, many studies are restricted to a specific geographic location, regatta, or class of sailboat or to only professional sailors. Therefore, the primary aim of this study was to gather a large database of sailing-related injuries with demographic, injury, and voyage characteristics. An observational study of self-reported offshore sailing-related injuries was performed using an internet-based, multiple-choice survey distributed on social media. Data were analyzed statistically with the use of the Shapiro-Wilk test, Mann-Whitney U test, and χ2 test. Five hundred sixty-eight people completed the survey, 217 women and 351 men, with a mean age of 36.26 y (SD=13.69 y). Among reported 793 cruises, 141 resulted in injury (18%). The most frequent injury types were contusion (40%) and skin lesions and lacerations (20%); the most frequent locations were hand (28%) and foot and ankle (18%), and the most frequent mechanisms were tripping/falling (33%), being hit by an object (19%), and using ropes (19%). Sex, age, and sailing experience were not injury risk factors, while higher number of offshore days was (P=0.0004). None of the analyzed voyage characteristics (purpose, ship's class, position on the ship, ship's length overall, type of rigging, and harness wearing) were injury risk factors. Sailors perceived the following as risk factors: inattention/distraction (34%), difficult weather conditions (22%), and fatigue/lack of sleep (14%). Approximately 1 in 5 cruises resulted in an injury, occurring regardless of demographic, injury, and voyage characteristics. The multifactorial nature of injuries poses a challenge in implementing safety measures. The authors hope that this study may aid in that cause.

Swine Flu Hotspot Prediction in Regions using a Dynamic Hotspot Detection Algorithm

The objective of this work is to provide a methodology for the detection and monitoring of swine flu outbreaks through the utilization of geographic data. The knowledge-driven constructive heuristic (KDH) approach, as proposed, obtains the localization coordinates subsequent to their generation through the utilization of the Dynamic Boundary Location Algorithm (DBLA). The Dynamic Boundary Localization approach utilizes the coordinate system of a geographic information system to effectively identify instances of swine flu, identify clusters of cases, and accurately determine their specific geographical locations. A severity index is assigned to each illness, and corresponding regional data is also documented. The approach employs a Dynamic Hotspot detection algorithm (DHDA) in conjunction with a Gaussian mixture model incorporating the Severity index to ascertain the upper limit of patient mortality. The severity index is derived from global data acquired by the use of Moran’s I. The Gi tool is utilized to assess the dependability of the anticipated hotspots. The utilization of statistical analysis is employed in this methodology to generate a more accurate forecast of areas with high potential for the dissemination of swine flu.

An evaluation of a violence reduction partnership network: mixed methods network analysis

PurposeThe purpose of this paper was to report on the evaluation of the network and resources for violence prevention and reduction in the chosen area of focus. This area had experiences deprivation, significant implications due to Covid-19 restrictions and a lack of outdoor recreation space.Design/methodology/approachNetwork analysis methodologies are increasingly being used in criminological research and evaluations to assess the structures of social and economic networks. This study explored, using a mixed-methods network analysis methodology, the nature of the established violence reduction network in a specific geographical location in West Midlands.FindingsA breadth of network activity is taking place across the community; however, the network analysis highlighted gaps in terms of specialist provision for early years and support from those with lived experience. It was perceived that a lack of continuity, in terms of changes in key roles, has affected the network. Funding mechanisms were perceived ineffective, and not encouraging of development of localisation services. Relationships between network members were predominantly positive with organisations having good communication and accessing support from one another; however, identifying shared goals and better collective working would benefit the network.Originality/valueThis study pioneers using an innovative, mixed methods network analysis to explore a public health approach to violence prevention and reduction. Quantitative data collection and analysis allowed for assessment of the networks capacity and density, whereas qualitative data provided insights and detailed accounts of how the network functions.

Uncertainty in three dimensions: the challenges of communicating probabilistic flood forecast maps

Abstract. Real-time operational flood forecasting most often concentrates on issuing streamflow predictions at specific points along the rivers of a watershed. However, we are now witnessing an increasing number of studies aimed at also including flood mapping as part of the forecasting system. While this additional new information (flood extent, depth, velocity, etc.) can potentially be useful for decision-makers, it could also be overwhelming. This is especially true for probabilistic and ensemble forecasting systems. While ensemble streamflow forecasts for a given point in space can be visualized relatively easily, the visualization and communication of probabilistic forecasts for water depth and extent pose additional challenges. Confusion typically arises from too much information, counterintuitive interpretation, or simply too much complexity in the representation of the forecast. The communication and visualization of probabilistic streamflow forecasts has been studied in the past, but this is not the case for the probabilistic flood forecast map, which is still an emerging product. In this paper, we synthesize the results of a large-scale survey (28 government representatives, 52 municipalities, 9 organizations, and 38 citizens and farmers, for a total of 140 people) regarding the users' preferences in terms of visualizing probabilistic flood forecasts over an entire river reach. The survey was performed through interviews, during which the interviewees were asked about their needs in terms of hydrological forecasting. We also presented the interviewees with four prototypes representing alternative visualizations of the same probabilistic forecast in order to understand their preferences in terms of colour maps, wording, and the representation of uncertainty. Our results highlight several issues related to the understanding of probabilities in the specific context of visualizing forecasted flood maps. We propose several suggestions for visualizing probabilistic flood maps and also describe potential adaptations for different categories of end users. This study is the first to investigate the visualization of probabilistic flood maps, which are gaining popularity. Given that the interview questions were not tied to a specific geographical location, our findings are applicable outside of the study area and, therefore, to other operational centres interested in providing probabilistic flood forecast maps to decision-making organizations and citizens.

Customer Satisfaction Towards Patanjali Products

Ayurvedic products have a long and rich history, both globally and in India . The term "Ayurveda" is derived from the Sanskrit words "Ayur" (life) and "Veda" (knowledge), which collectively mean "Science of Life." Patanjali, a prominent player in India's fast-moving consumer goods (FMCG) sector. The primary study explores customer awareness, satisfaction, attitudes, and preferences related to renowned Ayurvedic products, with a specific focus on consumer perceptions of Patanjali products. This inquiry encompasses a comprehensive review of existing literature and identifies research gaps in this specific geographical location. The objectives of this endeavor include understanding brand perception, evaluating customer satisfaction, identifying influencing factors, profiling customer demographics, and comparing Patanjali with other Ayurvedic brands. The research adopts a descriptive research design, collecting primary and secondary data through surveys and questionnaires. The findings reveal a high level of awareness and satisfaction with Patanjali products, driven by factors such as reasonable pricing, health benefits, and trust in the brand. The study also identifies the key growth drivers for Patanjali, including increasing demand for natural and Ayurvedic products, brand ambassador influence, and a perception of authenticity. It was found that a weak positive relationship was observed between customer satisfaction and the preference to continue using Patanjali products. Customer satisfaction with various elements of Patanjali's offerings, including brand, pricing, and distribution, is examined. Recommendations for Patanjali include maintaining product quality, transparency in ingredient disclosure, expanding distribution, and enhancing product packaging. Through the study it determines the importance of quality, accessibility, and a strong brand identity in shaping consumer preferences in the Ayurvedic product market.

Analysis of the impact of green trade barriers on the trade of industrial products between China and five Central Asian countries based on Lanczos-model reduced-order algorithm

With the development of economic globalization, the proportion of export trade in China is gradually increasing, and there has been a relatively close connection between the economies and trade of the five Central Asian countries and China, and because of their special geographical location, the connection between China and the five Central Asian countries is more frequent and there are certain connections in different industries. Different countries will certainly have different industrial priorities, so they need to be linked with each other. In the process of trade export, there will also be relevant policies appear, and green trade barriers are one of the policies that are closely linked with trade as one of them. Under the influence of green trade barriers, the trade of industrial goods between China and five Central Asian countries is also greatly affected, and this paper mainly uses Lanczos-model descending order algorithm to analyze its influence.

Leading consumption patterns of psychoactive substances in Colombia: A deep neural network-based clustering-oriented embedding approach.

The number of health-related incidents caused using illegal and legal psychoactive substances (PAS) has dramatically increased over two decades worldwide. In Colombia, the use of illicit substances has increased up to 10.3%, while the consumption alcohol and tobacco has increased to 84% and 12%, respectively. It is well-known that identifying drug consumption patterns in the general population is essential in reducing overall drug consumption. However, existing approaches do not incorporate Machine Learning and/or Deep Data Mining methods in combination with spatial techniques. To enhance our understanding of mental health issues related to PAS and assist in the development of national policies, here we present a novel Deep Neural Network-based Clustering-oriented Embedding Algorithm that incorporates an autoencoder and spatial techniques. The primary goal of our model is to identify general and spatial patterns of drug consumption and abuse, while also extracting relevant features from the input data and identifying clusters during the learning process. As a test case, we used the largest publicly available database of legal and illegal PAS consumption comprising 49,600 Colombian households. We estimated and geographically represented the prevalence of consumption and/or abuse of both PAS and non-PAS, while achieving statistically significant goodness-of-fit values. Our results indicate that region, sex, housing type, socioeconomic status, age, and variables related to household finances contribute to explaining the patterns of consumption and/or abuse of PAS. Additionally, we identified three distinct patterns of PAS consumption and/or abuse. At the spatial level, these patterns indicate concentrations of drug consumption in specific regions of the country, which are closely related to specific geographic locations and the prevailing social and environmental contexts. These findings can provide valuable insights to facilitate decision-making and develop national policies targeting specific groups given their cultural, geographic, and social conditions.

Geographical, technical, economic, and environmental potential for wind to hydrogen production in Algeria: GIS-based approach

In this paper, wind resource availability was determined by analyzing the meteorological wind energy potential at the hub height of wind turbines. The wind resource potential was identified in specific geographic locations. Technical factors, such as siting requirements and resource availability, were taken into account in the investigation. The economic potential was calculated for each area of Algeria, considering overall losses. Subsequently, the potential for reducing fossil fuel usage was determined through wind to hydrogen estimation. The main components utilized in this work were a Vestas-90 wind turbine (V90–2.0 MW) and an alkaline electrolyzer. The analysis employed a Geographical Information System (GIS) tool. The results demonstrate Algeria's significant potential for wind to hydrogen production, estimated at 1.093 Gt/year without constraints, and reduced to 1.066 Gt/year when considering constraints. The levelized cost of wind to hydrogen production in Algeria varies between 1.51 and 15.37 US $/kg, depending on the chosen wind turbine. The wind to hydrogen production potential identified has the capacity to replace the entire current fossil fuel consumption in the transportation sector, which amounts to 5.28 Mt H2/year. The utilization of wind to hydrogen in the transport sector results in a significant reduction of CO2 emissions, with a calculated avoidance of 45.69 Mt compared to the use of gasoline and diesel. Hydrogen produced from wind energy resources also could be used to support other sectors, including residential, agricultural, and industry in Algeria.

How complex is the hidden species diversity of the teleost Plotosus genus?

AbstractThe striped eel catfish, Plotosus lineatus was first described by Thunberg in 1787 from the Indo-Pacific region in the East Indian Ocean. Since then, the species has been recorded in various marine and brackish habitats in Japan, southern Korea, the Ogasawara Islands, Australia, Lord Howe Island, Palau and Yap in Micronesia, East Africa to Samoa, Madagascar, Red Sea and the Persian Gulf. Occurrences of this species have also been registered in the Mediterranean Sea, a non-native location, indicating a possible biological invasion event. Despite its long history, the taxonomic status of the P. lineatus species complex remains puzzling and uncertain. Here, we analysed all the available mitochondrial cytochrome c oxidase subunit 1 sequences (NCBI and BOLD) from specimens covering the current known distribution range, in an attempt to clarify the evolutionary relationships of different lineages within this species. We deduce nine monophyletic Lineages - I–IX, of P. lineatus with Kimura-2P distances ranging from 2% to 16%, with a mean intraspecific distance of 6%. Strikingly, Lineage V is composed uniquely of Mediterranean-captured individuals, with an unknown evolutionary origin. These findings strongly suggest the need for a careful species taxonomic reassessment. Some Lineages are composed of individuals from specific geographic locations (e.g., Australia and Indonesia), while others include specimens from broader geographic areas (e.g., almost all Indo-Pacific coastline). Additionally, several deposited sequences are most likely the result of morphology-based misidentifications. Due to the biological invasive potential, as well as the use of the species as a valuable physiology model, the P. lineatus species complex requires further attention. Overall our study offers a clear framework for future comparative studies of striped eel catfish individuals captured from different ecosystems.

Genome Variability of Infectious Bronchitis Virus in Mexico: High Lineage Diversity and Recurrent Recombination.

The avian infectious bronchitis virus (IBV) is a coronavirus that mutates frequently, leading to a contagious and acute disease that results in economic losses to the global poultry industry. Due to its genetic and serological diversity, IBV poses a challenge in preventing and controlling the pathogen. The full-length S1 sequence analysis identifies seven main genotypes (GI-GVII) comprising 35 viral lineages. In addition to the previously described lineage, a new GI lineage (GI-30) and two lineages from novel genotypes (GVIII-1 and GIX-1) have been described in Mexico. To prevent the spread of IBV outbreaks in a specific geographic location and select the suitable vaccine, it is helpful to genetically identify the circulating IBV types. Moreover, sequencing genomes can provide essential insights into virus evolution and significantly enhance our understanding of IBV variability. However, only genomes of previously described lineages (GI-1, GI-9, GI-13, and GI-17) have been reported for Mexican strains. Here, we sequenced new genomes from Mexican lineages, including the indigenous GI-30, GVIII-1, and GIX-1 lineages. Comparative genomics reveals that Mexico has relatively homogenous lineages (i.e., GI-13), some with greater variability (i.e., GI-1 and GI-9), and others extremely divergent (GI-30, GVIII-1, and GIX-1). The circulating lineages and intra-lineage variability support the unique diversity and dynamic of Mexican IBV.

Genomic and phylotypic properties of three novel marine Bacteroidota from bare tidal flats reveal insights into their potential of polysaccharide metabolism

Special geographical location and abundant organic matter profiles in tidal flats have resulted in great microbial diversity, in which Bacteroidota strains are considered as one of the primary degraders of polysaccharides, playing a crucial role in the carbon cycle. In this study, we collected sediment or sand samples from 34 bare tidal flats in China and investigated the profile of culturable bacteria, selected three Bacteroidota for polyphasic taxonomic analysis and revealed their polysaccharide metabolic potential. Totally, we isolated 352 pure cultured bacteria and they mainly distributed in Bacteroidota, Pseudomonadota, Bacillota, and Actinomycetota. It is shown that the bare tidal flats contained a large number of potential novel species, mainly distributed in Flavobacteriales and Cytophagales within Bacteroidota. Three Bacteroidota strains, M17T, M82T, and M415T, isolated from mudflat were selected for polyphasic taxonomic analysis. The 16S rRNA gene sequence similarity between strain M17T and Mangrovivirga cuniculi KCTC 72349T was 99.28%, and less than 90.09% with other species; strain M82T shared the highest 16S rRNA gene sequence similarity of 97.85% with Pontibacter litorisediminis KCTC 52252T, and less than 97.43% with other species; strain M415T had higher 16S rRNA gene sequence similarities with type species of genera Eudoraea (92.62-93.68%), Zeaxanthinibacter (92.02-92.91%), and Muriicola (92.21-92.83%). Phylogenetic analysis based on 16S rRNA gene sequences and single-copy orthologous clusters showed that strains M17T and M82T represent novel species within the genus Mangrovivirga and Pontibacter, respectively, and strain M415T represents a novel species of a novel genus within the family Flavobacteriaceae. The potential in polysaccharide metabolism of all these three strains was analyzed by genomes. The analysis revealed that glycoside hydrolases and glycosyltransferases account for more than 70% of the total CAZymes. Additionally, the numbers of polysaccharide utilization loci (PULs) and annotated CAZymes in Cytophagales spp. M17T and M82T were found to be higher than those in Flavobacteriales sp. M415T. Highly specialized saccharolytic systems and the presence of numerous diversified CAZymes for obtaining energy through polysaccharide metabolism were speculated to help the three novel strains adapt to the utilization of both terrestrial and marine polysaccharides.

Principal Component Regression Modeling and Analysis of PM10 and Meteorological Parameters in Sarajevo with and without Temperature Inversion

The specific geographic location of Sarajevo, which is located in a valley surrounded by mountains, provides the opportunity to analyze the relation between the concentration of PM10 and meteorological parameters with and without temperature inversion. The main aim of this paper was to develop forecasting models of the hourly average of PM10 values in the Sarajevo urban area based on meteorological parameters measured in Sarajevo and on the Bjelasnica mountain with and without temperature inversion by using principal component regression (PCR). Also, this research explored and analyzed the differences in the values of the meteorological parameters and PM10 in Sarajevo with and without temperature inversion, and the difference in temperatures between Sarajevo and Bjelasnica with temperature inversion using statistical hypothesis testing with a total of 240 hypothesis tests performed. The measurements of meteorological parameters were taken from 2020 to 2022 for both Sarajevo (630 m) and the Bjelasnica mountain (2067 m), which allowed for the identification of time periods with and without temperature inversion, while measurements of PM10 were taken only in Sarajevo. Data were collected during the heating season (November, December, January, February and March). Since analyses have shown that only January and November had time periods with and without temperature inversion during each hour of the day, a total of seven cases were identified: two cases with and five cases without temperature inversion. For each case, three PCR models were developed using all principal components, backward elimination and eigenvalue principal component elimination criteria (λ<1). A total of 21 models were developed. The performance of the models were evaluated based on the coefficient of determination R2 and the standard error SE. The backward elimination models were shown to have high performances with the highest value of R2= 97.19 and the lowest value of SE=1.32. The study showed that some principal components with eigenvalues λ<1 were significantly related to the independent variable PM10 and thus were retained in the PCR models. In the study, it was shown that backward elimination PCR was an adequate tool to develop PM10 forecasting models with high performances and that it could be useful for authorities for early warnings or other action to protect citizens from very harmful pollution. Hypothesis tests showed different relations of meteorological parameters and PM10 with and without temperature inversion.