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\"This book covers fire and extinguishing theory and reliability theory. It's based on a year's study of historical literature, using critical review and document analysis. It covers how data is collected, analyzed, and presented. It discusses reliability theory, calculation, and uncertainty analysis, then proposes a new methodology and approach using general scientific value and examples. Those that will be interested in this book are Reliability, Systems, Architecture, Design, Maintenance, Mechanical and, Civil Engineers, those working in the field of fire protection and building and fire code officials\"-- Provided by publisher.

The majority of people with hypertension require more than one medication to achieve blood pressure control. Many patients are prescribed multipill antihypertensive regimens rather than single-pill fixed-dose combination (FDC) treatment. Although FDC use may improve medication adherence, the impact on patient outcomes is unclear. We compared clinical outcomes and medication adherence with FDC therapy versus multipill combination therapy in a real-world setting using linked clinical and administrative databases. We conducted a population-based retrospective cohort study of 13,350 individuals 66 years and older in Ontario, Canada with up to 5 years of follow-up. We included individuals who were newly initiated on one angiotensin-converting enzyme inhibitor (ACEI) or angiotensin II-receptor blocker (ARB) plus one thiazide diuretic. High-dimensional propensity score matching was used to compare individuals receiving FDC versus multipill therapy. The primary outcome was a composite of death or hospitalization for acute myocardial infarction (AMI), heart failure, or stroke. We conducted 2 analyses to examine the association between adherence and patient outcomes. First, we performed an on-treatment analysis to determine whether outcomes differed between groups while patients were on treatment, censoring patients when they first discontinued treatment, defined as not receiving medications within 150% of the previous days' supply. Second, we conducted an intention-to-treat analysis that followed individuals allowing for breaks in treatment to quantify the difference in drug adherence between groups and assess its impact on clinical outcomes. As expected, there was no significant difference in the primary outcome between groups in the on-treatment analysis (HR 1.06, 95% CI 0.86-1.31, P = 0.60). In the intention-to-treat analysis, the proportion of total follow-up days covered with medications was significantly greater in the FDC group (70%; IQR 19-98) than in the multipill group (42%, IQR 11-91, P < 0.01), and the primary outcome was less frequent in FDC recipients (3.4 versus 3.9 events per 100 person-years; HR 0.89, 95% CI 0.81-0.97, P < 0.01). The main limitations of this study were the lack of data regarding cause of death and blood pressure measurements and the possibility of residual confounding. Among older adults initiating combination antihypertensive treatment, FDC therapy was associated with a significantly lower risk of composite clinical outcomes, which may be related to better medication adherence.

Rampant pasture burning has lead to various forest fires taking their toll over the health of many forests. Nanda Devi Biosphere Reserve, located in the northern part of India, witnessed a majority of these incidents in the recent past, though, it remains comprehensively untouched from research studies. The scale of these wildfires has led to an immense requirement of preventive measures to be taken for recuperating from such events. This requires for an in-depth analysis of the study area, its history of wildfires and their causes. These efforts would assist in laying a blueprint for a contingency plan in the event of a wildfire. This work proposes an evolutionary optimized gradient boosted decision trees for preparing wildfire susceptibility maps for the study area that would aid in the government’s forest preservation and disaster management activities. The study took 18 ignition factors of elevation, slope, aspect, plan curvature, topographic position index, topographic water index, normalized difference vegetation index, soil texture, temperature, rainfall, aridity index, potential evapotranspiration, relative humidity, wind speed, land cover and distance from roads, rivers and habitations into consideration. The study revealed that approximately 1432.025 km2 of area was very highly susceptible to forest fires while 1202.356 km2 was highly susceptible to forest fires. The proposed model was compared against various machine learning models such as random forest, neural networks and support vector machines, and it outperformed them by achieving an overall accuracy of 95.5%. The proposed model demonstrated good prospects for application in the field of hazard susceptibility mappings.

Aquaponics is an integrated fish and crop production system that includes aquaculture and hydroponics. The purpose of this study was to assess aquaponic research and social media attention in light of the exponential growth of aquaponics systems. This article condenses numerous studies into a single paper, which provides insights into the worldwide growth and advancement of the study field and establishes a future research agenda. A thorough scientometric study of the worldwide scientific output on aquaponics from 2004 to 2021 was conducted using the Scopus database. Altmetric data for individual articles were collected from Altmetric.com. The analysis tools, MS Excel, Tableau, Biblioshiny, and VOSviewer, were used in this study. The results show that aquaponics research has been growing significantly over the years. In recent years, aquaponics research primarily focused on the optimization of system performance (component ratio, hydraulic loading rate, hydroponic component, etc.), wastewater treatment, nutrient management, system production, technology adoption, and varieties of plants and fishes. The study identified the most prolific authors, journals, and affiliations in the field of aquaponics. The USA, Europe, and some Asian countries, especially China and India, are the most innovative regions with significant research in this area. Altmetric analysis found that aquaponics research has not received impressive online social attention and needs further social media promotion. However, publications have a considerable readership on Mendeley.

Biofloc technology (BFT) is an aquaculture technology that uses microbial communities to produce a balanced aquatic environment for fish and crustaceans. This study evaluated the global research trends and measured the performance of researchers, organizations or research centers, countries, and funding agencies participating in BFT research in the last decade. Scientific knowledge mapping was also performed to understand the social and conceptual structure of the research publications. The study was conducted based on journal article publications indexed in the Scopus database between 2013 and 2022. The analysis showed that BFT research was increasing steadily, with a total of 911 documents published in the past 10 years. Brazil, China, and India were the three most productive countries in the field. The most productive journals were Aquaculture, Aquaculture Research, and Aquaculture International. Regarding research topics, the largest share of documents was related to bioflocs and their technologies, followed by Litopenaeus vannamei , water quality, growth performance, shrimp, Nile tilapia, Oreochromis niloticus , etc. Co-authorship network analysis revealed that the largest cluster comprised researchers from Brazil, China, and India. Moreover, the study of societal attention revealed that the BFT research needs more public attention as the research was discussed and mentioned only a few social media platforms. However, the BFT research had significant readers on Mendeley. This study provides a comprehensive overview of the current state of BFT research and the research performance of scientific actors. It can serve as a valuable reference for researchers and policymakers.

The present study introduces “rock slope instability score (RSIS)” a novel classification system for assessing rock slope stability. It takes into account geological and geotechnical parameters, as well as the impact of human activities and triggering parameters, which have become more frequent due to climate change and few of them have been ignored in existing classifications. The study focuses on rock slopes of various lithologies from the Indian Himalayas. The development of this new classification system is based on the examination of 81 different rock slopes from various states of the Indian Himalayas. Extensive field surveys, rock sampling, geotechnical laboratory tests, and ground measurements have been conducted at the various slope sites to establish a comprehensive scoring system for the stability assessment. The distributions of weightage to each parameter have been considered, corresponding to its degree of impact in causing slope instability. Sensitivity analysis of all defined parameters of RSIS system has revealed that the majority of the parameters exhibit a strong positive correlation, with Pearson correlation coefficients ranging from 0.74 to 0.61. However, two parameters, namely discontinuity dip and the relationship between slope & discontinuity direction, gives moderate relationship with correlation coefficient values of 0.48 and 0.41, respectively. To avoid any designer biasness in the system, several individuals gathered data set at different times. The proposed classification system has demonstrated a strong correlation with the actual slope condition, and it is quite promising. The outcome of RSIS classification for studied 81 slopes classified 2 slopes under stable condition, 21 slopes as partially stable, 44 as unstable, and 14 as completely unstable.

β-Glucosidases are diverse group of enzymes with great functional importance to biological systems. These are grouped in multiple glycoside hydrolase families based on their catalytic and sequence characteristics. Most studies carried out on β-glucosidases are focused on their industrial applications rather than their endogenous function in the target organisms. β-Glucosidases performed many functions in bacteria as they are components of large complexes called cellulosomes and are responsible for the hydrolysis of short chain oligosaccharides and cellobiose. In plants, β-glucosidases are involved in processes like formation of required intermediates for cell wall lignification, degradation of endosperm’s cell wall during germination and in plant defense against biotic stresses. Mammalian β-glucosidases are thought to play roles in metabolism of glycolipids and dietary glucosides, and signaling functions. These enzymes have diverse biotechnological applications in food, surfactant, biofuel, and agricultural industries. The search for novel and improved β-glucosidase is still continued to fulfills demand of an industrially suitable enzyme. In this review, a comprehensive overview on detailed functional roles of β-glucosidases in different organisms, their industrial applications, and recent cloning and expression studies with biochemical characterization of such enzymes is presented for the better understanding and efficient use of diverse β-glucosidases.

In the last few decades, several rock mass classification systems have been proposed to identify rock slope stability conditions, having high probability of failure and accordingly prioritize preventive measures. This paper reviews the various classification systems, highlighting their differences and similarities with regard to the factors involved and the mode of their failures. The advantages and limitations of each classification have also been compared. However, many of these existing systems fail to classify slope cuttings according to their actual vulnerability of failure, as they ignore important triggering factors such as earthquakes or precipitation. For example groundwater is considered as an instability causing factor with limited effect, rather than a triggering factor for failure. It is observed that rock slope should be classified according to their potential of failure, taking into account both their condition and the influence of triggering factors upon stability. It is also observed that it is important to analyse each type of failure separately, since each one is influenced by unique factors of instability. Finally, it provides suggestion for the improvement of existing classifications through incorporation of all the critical factors like slope aspect, mode of excavation, earthquake, and rainfall that would have caused slope instability.

Benzophenone-3 is an Emerging Pollutant having significant ecotoxicological effects on aquatic organisms, owing to its widespread use as a UV filter and stabilizer to prevent photodegradation of commercial products, and has a ubiquitous presence. The present study entails an investigation of the bioremediation potential of an integrated system of biochar and Lemna minor against Benzophenone-3 from aqueous solution through batch studies. This integration in spiked distilled and municipal wastewater yielded a total removal of 73.82% and 80.46% of Benzophenone-3, respectively. Quantitative analysis of the FTIR spectra showed Benzophenone-3 adsorption onto the sugarcane bagasse biochar in a similar trend, comparable with its experimental removal efficiency. The reactions followed pseudo-second-order and intraparticle diffusion kinetics and the Freundlich isotherm modelling. Metabolites of Benzophenone-3, namely 2,4-Dihydroxybenzophenone and the first report of 2,3,4-Trihydroxybenzophenone in plants, were observed in tissues of Lemna minor . Cation exchange and pore-filling in the case of biochar and plant uptake and metabolism in the case of Lemna minor were the major removal mechanisms. Physicochemical analysis of the municipal wastewater pre- and post-treatment revealed an improvement in its overall quality, rendering the water suitable for reuse. The study provides baseline data about the potential of biochar and Lemna minor in an integrated system for the remediation of Benzophenone-3. It finds potential application in constructed wetlands for the efficient, cost-effective and eco-friendly remediation of Emerging Contaminants upon further research.