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Certain applications requires a scalable cost effective storage and execution system with facility to store data and have feature to analyze data to its finest granularity level in future. This increase the quality and accuracy of result analysis. Wireless sensor Network (WSN) nodes deployed for certain data intensive applications such as surveillance, war zone monitoring etc. generates a massive amount of raw data. There is an essential requirement of storing this data in its native format for analytics purpose in anticipation of future requirements. In present work, a data lake implemented on Amazon AWS is presented for storage of data in original version for future reference. Data Lake implementation service is utilized for storing the data generated in big volumes, high speed and in variety. The data in Data Lake is stored in three zones i.e. raw, reformed and curated. This paper proposes an efficient method of storing structured, unstructured and semi-structured, data in to Data Lake for future retrieval and analytics purpose. The results are comprehensively presented highlighting the advantages of using Data Lake in place of data warehouses.

Objective: Given fibromyalgia (FM) frequently co‐occurs with autoimmune disease, this study was initiated to objectively evaluate FM in a multiracial/ethnic cohort of patients with systemic lupus erythematosus (SLE). Methods: Patients with SLE were screened for FM using the 2016 FM classification criteria during an in‐person rheumatologist visit. We evaluated hybrid Safety of Estrogens in Lupus National Assessment (SELENA)‐SLE Disease Activity Index (SLEDAI) scores, SLE classification criteria, and Systemic Lupus International Collaborating Clinics damage index. We compared patients with and without FM and if differences were present, compared patients with FM with patients with non‐FM related chronic pain. Results: 316 patients with SLE completed the FM questionnaire. 55 (17.4%) met criteria for FM. The racial composition of patients with FM differed from those without FM (P = 0.023), driven by fewer Asian patients having FM. There was no difference in SLE disease duration, SELENA‐SLEDAI score, or active serologies. There was more active arthritis in the FM group (16.4%) versus the non‐FM group (1.9%) (P < 0.001). The Widespread Pain Index and Symptom Severity Score did not correlate with degree of SLE activity (r = −0.016; 0.107) among patients with FM or non‐FM chronic pain (r = 0.009; −0.024). Regarding criteria, patients with FM had less nephritis and more malar rash. Systemic Lupus International Collaborating Clinics damage index did not differ between groups. Conclusion: Except for arthritis, patients with SLE with FM are not otherwise clinically or serologically distinguishable from those without FM, and Widespread Pain Index and Symptom Severity Score indices do not correlate with SLEDAI. These observations support the importance of further understanding the underlying biology of FM in SLE. [ABSTRACT FROM AUTHOR]

The gate-all-around (GAA) silicon-on-insulator (SOI) Schottky barrier (SB) nano-wire (NW) MOSFET was recently proposed for low-power and high-frequency analog and radio frequency (RF) circuits. But their use in low-power and high-frequency analog/RF circuits is still under investigation. In this work, basic analog signal processing circuits using gate-all-around SOI-SB-NW MOSFETs are designed for low-power and high-frequency applications. These basic and necessary analog processing circuits are designed for ± 0.3 V and ± 0.25 V power supplies to work on frequencies up to 10 GHz. The analog/RF characteristics of the GAA SOI-SB MOSFET are compared with those of the GAA SB NW MOSFET. The SOI-SB NW MOSFET shows improvements in early voltage, output resistance, and transconductance generation factor. The Silvaco TCAD simulator is used to obtain the results and perform numerical simulations. Simulation results show good analog/RF performance of the analog processing circuits. [ABSTRACT FROM AUTHOR]

N,N‐Dimethylaniline.borane (DMAB) is a stable, multifaceted electrophilic boron agent that displays hydroboration of C = C as well as selective reduction of functional groups under reflux, microwave, and ultrasound conditions. Natural products contain a plethora of functional groups that govern the specific bioactivity. It will be interesting to correlate the change in a functional group with the concern for change in bioactivity. Current research emphasizes the influence of microwave irradiation on moderately reactive DMAB reagent towards the functional group modification of selected limonoid‐phytochemicals of Meliaceae family viz. cedrelone, azadirone, nimbin, and azadiradione. DMAB conveniently reduces the ketone, epoxide group into alcohol, and does a hydroboration reaction on the C = C bond. It does not show interest to reduce the ester group irrespective of 30 min of MW irradiation. Except for these reducing properties, the reagent DMAB unveils chemo‐selective nature in respect of different functional groups and utilizes in an asymmetric synthesis. The coalescence of amine.borane with microwave irradiation brings forth a commodious and prompt method for the selective reduction of functional groups. The bioactive efficacy of modified phytochemicals is further taken for the antimicrobial studies. [ABSTRACT FROM AUTHOR]

Objective: AURORA 2 evaluated the long‐term safety, tolerability, and efficacy of voclosporin compared to placebo in patients with lupus nephritis (LN) receiving an additional two years of treatment following completion of the one‐year AURORA 1 study. Methods: Enrolled patients continued their double‐blinded treatment of voclosporin or placebo randomly assigned in AURORA 1, in combination with mycophenolate mofetil and low‐dose glucocorticoids. The primary objective was safety assessed with adverse events (AEs) and biochemical and hematological assessments. Efficacy was measured by renal response. Results: A total of 216 patients enrolled in AURORA 2. Treatment was well tolerated with 86.1% completing the study and no unexpected safety signals. AEs occurred in 86% and 80% of patients in the voclosporin and control groups, respectively, with an AE profile similar to that seen in AURORA 1, albeit with reduced frequency. Investigator reported AEs of both glomerular filtration rate (GFR) decrease and hypertension occurred more frequently in the voclosporin than the control group (10.3% vs 5.0%, and 8.6% vs 7.0%, respectively). Mean corrected estimated GFR (eGFR) was within the normal range and stable in both treatment groups. eGFR slope over the two‐year period was −0.2 mL/min/1.73 m2 (95% confidence interval [CI] −3.0 to 2.7) in the voclosporin group and −5.4 mL/min/1.73 m2 (95% CI −8.4 to −2.3) in the control group. Improved proteinuria persisted across three years of treatment, leading to more frequent complete renal responses in patients treated with voclosporin (50.9% vs 39.0%; odds ratio 1.74; 95% CI 1.00–3.03). Conclusion: Data demonstrate the safety and efficacy of long‐term voclosporin treatment over three years of follow‐up in patients with LN. [ABSTRACT FROM AUTHOR]

The efficacy and safety of intravenous belimumab is examined in a randomized placebo-controlled trial involving patients with active lupus nephritis. Results indicate that more patients who received belimumab plus standard therapy had a primary efficacy renal response than those who received standard therapy alone.

Background: Neonatal sepsis significantly contributes to neonatal mortality and morbidity in developing countries. The delay in diagnosis due to the time-consuming gold standard blood culture necessitates rapid, accessible, and cost-effective diagnostic markers. Aims: This study aimed to evaluate the sensitivity and specificity of Micro-ESR for early neonatal sepsis diagnosis and compare its effectiveness with other standard markers. Methodology: Conducted at D.Y. Patil Hospital's Department of Pediatrics in Navi Mumbai, this prospective observational study included 200 neonates suspected of sepsis. Blood samples were analyzed for CBC, CRP, Micro-ESR, and bacterial culture before antibiotic initiation. Micro-ESR's diagnostic performance was assessed against other markers based on confirmed sepsis cases via blood culture. Results: Among 200 neonates, 16 had a positive blood culture. Micro-ESR showed a sensitivity of 87.5% and specificity of 28.80%. In comparison, Total Leucocyte Count (TLC) and Absolute Neutrophil Count (ANC) demonstrated higher specificity (91.25% and 70% respectively) but lower sensitivity. Platelet count and CRP indicated high specificity (94.56%) and sensitivity (100%) respectively, albeit with low predictive values. Conclusions: While CRP exhibited the highest sensitivity, TLC and platelet count showed superior specificity. Despite its lower specificity, Micro-ESR's high sensitivity suggests its utility as a supportive early diagnostic marker alongside CBC, CRP, and ANC. Blood culture remains the definitive diagnostic standard. [ABSTRACT FROM AUTHOR]

Industrial waste locks are used as raw materials to reduce harmful effects on the environment and improve environmental performance. Marble clay powder can be used as a filling aid and can fill voids in concrete structures. This article will show you how to use a maximum natural sand alternative in concrete with marble powder and quarry dust. The challenge of the 21st century is to change to a new form that can support the natural system. This necessitates a radical rethinking of how to give the community infrastructure and housing. Making a concerted effort to develop novel, innovative, and alternative construction materials may be necessary. Jungles of concrete around cause's impact on the Environment and it would result in climate change. Mankind must avoid the use of things that are detrimental to the environment. So in this paper, it is decided to address the issue by adopting the use of the green concrete concept which is environmentally friendly. Green concrete is concrete made up using industrial wastes such as marble powder, quarry dust, wood ash, paper pulp, etc. Green concrete, which is capable of sustainable development, helps to reduce the consumption of natural resources, energy use, and environmental pollution. Green concrete is more cost‐effective than ordinary concrete and reduces the cost of resultant concrete by 14%–20%. It is also observed that the alkali‐aggregate reaction and sulfate attack resistance of concrete are both significantly improved. Green concrete is a useful tool for lowering environmental pollution and enhancing concrete's resistance to harsh conditions. All stages of infrastructure construction and rehabilitation will follow this trend of using new cement and techniques. Green concrete's adaptability and its performance derivatives will meet a variety of future needs. [ABSTRACT FROM AUTHOR]

The use of ordinary Portland cement (OPC) in the construction industry is inevitable. The huge production of OPC and its use in infrastructural development pose an environmental impact. Greenhouse gas emitted increases the global temperature and it is an alarming sign to everybody on the planet. Concrete is the most consuming material which is produced by using OPC and it is proven that OPC contributes a lot to CO2 emission. Hence in this study attempt is made to produce concrete by using environment‐friendly material like fly ash along with alkaline activators, which is termed Geo polymer concrete. The by‐product fly ash is widely available worldwide. It is a by‐product of thermal power plants. The use of fly ash in concrete produces less expensive and more cost‐effective concrete than concrete made up using OPC. Due to its high silicate and alumina content, fly ash reacts with an alkaline solution to create an aluminosilicate gel that binds the aggregate and results in high‐quality concrete. Fly ash is finer than cement, it occupies the pores of cement after hydration. This would result in denser concrete which gives higher strength. In comparison to ordinary concrete, fly ash‐based geopolymer concrete offers better resistance to aggressive environments and high temperatures. In the present study, an alkaline activator of molarity 8 is used to prepare geopolymer concrete. The test specimens are cast and cured for 28 days. Test results indicate that an alkaline liquid fly‐ash ratio (0.4) produces higher mechanical properties. Hence, geopolymer concrete produced in this study is found to be cost‐effective and environment friendly. [ABSTRACT FROM AUTHOR]

The current research focuses on the design, method development, characterization, and clinical assessment of novel irbesartan medication compounds. The objective of synthetic modification of a drug molecule is to achieve the desired properties such as enhancing the pharmacological properties and minimizing the side effects. It is a biphenyl tetrazole and an aza‐spiro compound, a highly selective, potent nonpeptide compound that belongs to the sartan group, an authorized type‐1 angiotensin II receptor (AT1), dilates the blood vessels and is used in curing of to treat high blood pressure, cardiac arrest, and renal disease in diabetics. To achieve the structural modification of the irbesartan drug, the researcher prepared the FeCl3/SiO2 catalyst and successfully used it for the acetylation, chloro acetylation reaction of irbesartan with acetyl chloride and chloroacetyl chloride. Further, the reaction is performed in presence of the catalyst and without a catalyst to elucidate the role of the catalyst. With the aid of TLC, FT‐IR, and UV–visible spectral methods, the structural interpretation of synthesized derivatives is completed. The present work illustrates a novel method of synthesis of irbesartan derivatives through safe and convenient procedures. The pharmacological evaluation of synthetic derivatives and green chemistry protocol of synthesis is under progress. [ABSTRACT FROM AUTHOR]

The promise of university-public school partnerships as contexts for mutually beneficial learning, or "simultaneous renewal," has been well established (Goodlad, 1994, 1999). However, difficulties in creating and sustaining these kinds of collaborative contexts for teacher education are also well known, including practical challenges such as time and distance, as well as the nuanced and layered tensions between institutional missions, cultures, and practices (Mantle-Bromley, 2002; Teitel, 1997). Contemporary efforts to create and sustain university-public school partnerships are further complicated by dramatically increased accountability pressures arising from No Child Left Behind (NCLB). Discretionary time for public educators is a scarce and dwindling resource. As high stakes testing and related accountability pressures increase on institutions of higher education, chronic shortages of resources to support collaborative work with public school partners are a widely acknowledged fact of life in partnership work. In the context of these kinds of institutional pressures it is clear that collaborative partnership work must be carefully designed to yield visible and valued benefits for both university and public school-based educators (Yendol-Hoppey, League, Gregory, Ohlson, & Jackson, 2006). In this article, the authors describe a design strategy aimed at creating shared opportunities for teacher learning and development, including the learning of university faculty, that may be embedded in practical activities related to the analysis of P-12 student work. The authors offer three illustrations of how they have used this strategy to design shared contexts for learning that are relevant to the (differing) needs of teacher candidates, public school colleagues and university faculty. (Contains 1 table and 1 figure.)

In oil and gas exploration, it is vital to acquire information about the bottom hole conditions. This is done in the field using wireline logging. The sonic log is one of the most prolific logs as it assists in porosity determination, cement evaluation and identification of lithology and gas‐bearing intervals. However, sonic logging tools are not always a part of the wireline logging arrangement. Still, there are sections where the logging data are missing, and in some cases, these are dependent upon old tools. The tool is incapable of recording shear wave transit times. This study explores the possibility of substituting the sonic log using machine learning and artificial intelligence techniques. These techniques can also predict the sonic log data in sections where these are missing or unreliable. Artificial neural networks, decision tree regression, random forest regression, support vector regression and extreme gradient boosting are the most popular tools available at our disposal for making these estimations. This study has compared these different techniques for their effectiveness and accuracy in making sonic transit time predictions based on other available well logs. The obtained results suggest that despite all the attention on artificial neural networks, eXtreme gradient boosting and the random forest regression outperform it for the given purpose. In the case of missing shear transit time data, random forest regression made predictions with a root mean squared error of 1.03 × 10–4 and a root mean squared error of 0.97 while eXtreme gradient boosting regression did so with a root mean squared error of 1.36 × 10–4 and the same regression coefficient (0.97). When no sonic data were available, random forest regression estimated shear transit time with a root mean squared error of 6.41×10–4 and a regression coefficient of 0.95, and compressional transit time with a root mean squared error of 9.06×10–5 and a root mean squared error of 0.94. The root mean squared error of shear transit time and compressional transit time predictions made using eXtreme gradient boosting were found to be the same as those of random forest regression. The root mean squared error, however, was observed to be slightly less for the compressional transit time predictions and somewhat more for the shear transit time predictions. As data analysis, in general, is a better method for estimation than the use of empirical correlations, these machine learning‐based predictions can serve as powerful tools in the oil and gas exploration industry. [ABSTRACT FROM AUTHOR]

Objective: Transnasal humidified rapid‐insufflation ventilatory exchange (THRIVE) is gaining acceptance as a safe method for apneic ventilation and oxygenation during laryngeal procedures, but remains controversial during laser laryngeal surgery (LLS) due to the theoretical risk of airway fire. This study describes our experience with THRIVE during LLS. Study Design: Retrospective cohort study. Setting: Stanford University Hospital, October 15, 2015 to June 1, 2021. Methods: Retrospective chart review of patients ≥18 years who underwent LLS involving the CO2 or KTP laser with THRIVE as the primary mode of oxygenation. Results: A total of 172 cases were identified. 20.9% were obese (BMI ≥ 30). Most common operative indication was subglottic stenosis. The CO2 laser was used in 79.1% of cases. Median lowest intraoperative SpO2 was 96%. 44.7% cases were solely under THRIVE while 16.3% required a single intubation and 19.2% required multiple intubations. Mean apnea time for THRIVE only cases was 32.1 minutes and in cases requiring at least one intubation 24.0 minutes (p <.001). Mean apnea time was significantly lower for patients who were obese (p <.001) or had a diagnosis of hypertension (p =.016). Obese patients and patients with hypertension were 2.03 and 1.43 times more likely to require intraoperative intubation, respectively. There were no intraoperative complications or fires since the institution of our LLS safety protocol. Conclusion: By eliminating the fuel component of the fire triangle, THRIVE can be safely used for continuous delivery of high FiO2 during LLS, provided adherence to institutional THRIVE‐LLS protocols. [ABSTRACT FROM AUTHOR]

Alzheimer's disease is a chronic neurodegenerative disease that causes brain cells to degenerate, resulting in decreased physical and mental abilities and, in severe cases, permanent memory loss. It is considered as the most common and fatal form of dementia. Although mild cognitive impairment (MCI) precedes Alzheimer's disease (AD), it does not necessarily show the obvious symptoms of AD. As a result, it becomes challenging to distinguish between mild cognitive impairment and cognitively normal. In this paper, we propose an ensemble of deep learners based on convolutional neural networks for the early diagnosis of Alzheimer's disease. The proposed approach utilises simple averaging ensemble and weighted averaging ensemble methods. The ensemble-based transfer learning model demonstrates enhanced generalization and performance for AD diagnosis compared to traditional transfer learning methods. Extensive experiments on the OASIS-3 dataset validate the effectiveness of the proposed model, showcasing its superiority over state-of-the-art transfer learning approaches in terms of accuracy, robustness, and efficiency. [ABSTRACT FROM AUTHOR]

Introduction: Dexmedetomidine is one of the anesthetics of choice for drug induced sleep endoscopy (DISE), with advantages including limited respiratory depression, analgesia, and decreased incidence of emergence delirium. However, challenges with determining sedation levels and prolonged recovery have limited its usage. An improved understanding of the effect of dexmedetomidine on the level of sedation and the corresponding electroencephalographic (EEG) changes could help overcome these barriers. Methods: Fifty-one patients received dexmedetomidine sedation with Richmond Agitation-Sedation Scale (RASS) score assessment and continuous EEG monitoring via SedLine for DISE. We constructed a pharmacokinetic model to determine continuous dexmedetomidine blood concentration. From the SedLine, we extracted the patient state index (PSI), and from the EEG we calculated the spectral edge frequency 95% (SEF95) and the correlation dimension (CD), a type of fractal dimension used to assess the complexity of a system. These metrics were subsequently compared against one another and with the dexmedetomidine concentration. Results: Our pharmacokinetic model yielded a two-compartment model with volumes of 51.8 L and 106.2 L, with clearances of 69.5 and 168.9 L/h, respectively, and a time to effect of 9 min, similar to prior studies. Based on this model, decreasing RASS score, SEF95, CD, and PSI were all significantly associated with increasing dexmedetomidine concentration (p < 0.001, p = 0.006, p < 0.001 respectively). The CD, SEF95, and PSI better captured the effects of increasing dexmedetomidine concentration as compared to the RASS score. Simulating dexmedetomidine concentration based on titration to target levels derived from CD and PSI confirmed commonly used dexmedetomidine infusion dosages. Conclusion: Dexmedetomidine use for DISE confirmed previous pharmacokinetic models seen with dexmedetomidine. Complex EEG metrics such as PSI and CD, as compared to RASS score and SEF95, better captured changes in brain state from dexmedetomidine and have potential to improve the monitoring of dexmedetomidine sedation. [ABSTRACT FROM AUTHOR]

Conservation strategies for imperiled species are frequently based on identifying and addressing the probable causes of population decline, an approach known as the declining population paradigm. Causes, however, are frequently linked to demographic outcomes by multiple mechanisms, and failing to target the primary mechanisms can reduce the effectiveness and efficiency of conservation actions. Increasingly, conservation strategies also need to consider emerging threats, such as climate change. Here, we use boreal caribou (Rangifer tarandus caribou), a threatened ecotype of woodland caribou, as a case study to illustrate how landscape disturbance and climate change can each exert negative demographic effects on caribou through multiple and complex mechanisms. We reviewed the extensive literature focused on woodland caribou to identify and assess the relative importance of each putative mechanism. While disturbance‐mediated apparent competition, the expansion of novel predators, and altered predator behavior appear to be primary mechanisms dictating past and current declines of caribou, climate change has increasing potential to exert strong direct and indirect effects now and in the future. Predicted climate effects may prevent some populations from regaining self‐sustaining status, despite local conservation actions. Our review revealed several knowledge gaps, notably a lack of clarity on the spatial extent of undisturbed habitat required for caribou populations to be stable. We used outcomes from our review to demonstrate how a mechanistic understanding of population decline can inform habitat‐based conservation strategies for caribou. For populations residing within highly disturbed ranges, habitat restoration is a key recommendation of current conservation strategies, yet the large spatial extent of disturbances will require prioritization of areas for restoration. Maximizing the conservation return‐on‐investment for caribou will require a mechanistically informed prioritization process that targets conservation actions toward the primary mechanisms underlying population decline. [ABSTRACT FROM AUTHOR]

Hematite nanoparticles (α‐Fe2O3) were successfully synthesised using facile and eco‐friendly hydrothermal method. Synthesised hematite nanoparticles were characterized using X‐ray diffraction, Fourier transform infrared spectroscopy, surface area analysis and transmission electron microscopy. Nano/micro particles of Hematite (1, 3&5 %, w/w) were incorporated in aerosol forming composite (AFC). For the first time, catalytic effect of nano and micro size hematite on performance of AFC has been creatively investigated with respect to combustion and fire extinguishment parameters. Incorporation of nano hematite (5 %, w/w) in AFC reduced the combustion temperature (by 11 %) and tremendously boosted the burn rate & combustion efficiency by 30&7.5 % respectively. This in turn produced the aerosols in less time and put out the fire quickly (<5 s). Hematite nano counterpart was discovered to be more promising than its micro equivalent. This exploratory study is valuable in the field of development of futuristic ultra‐fast fire extinguishants. [ABSTRACT FROM AUTHOR]

A significant quantity of hydrocarbons remains in the reservoir after production using primary and secondary techniques. Traditional recovery techniques produce about 33 % of the original oil in place. However, the utilization of chemicals such as surfactants and polymers facilitate the additional recovery of one‐third of this oil. Researchers are currently aiming at mixing surfactant and nanoparticles for their potential applications in petroleum industry. In this work, authors claimed to be the first to study usage of synthesized Mesoporous Silica Nanoparticles (MSN) with Sodium Dodecyl Sulphate (SDS) surfactant to understand its applicability in Chemical Enhanced Oil Recovery through evaluation of the surface tension & Interfacial tension, surfactant adsorption, contact angle, and core flooding experiments. Surface tension studies revealed a synergistic interaction between MSN and anionic surfactant molecules. With the introduction of 2500 ppm of anionic surfactant, the surface tension of deionized water reduces to 34.5 mN/m from 72.4 mN/m. The surface tension of the mixture was further lowered by ∼9.8 % with the addition of 300 ppm MSN. The Interfacial Tension results also showed the same trend. When 300 ppm of MSN was introduced, then IFT values decreases from 8.13 mN/m to 3.91 mN/m at 2500 ppm of anionic surfactant. Contact angle measurements after MSN injection went from 77.98° for SDS (2500 ppm) to 73.36°, 66.54°, and 41.95° for 100, 200, and 300 ppm of MSN, respectively. This demonstrates that the shift toward water‐wet behavior increased along with the MSN concentration. Additionally, adding 300 ppm of MSN lowered surfactant adsorption by ∼80 % at a surfactant concentration of 2500 ppm. Up to 72.27 % of the OOIP could be recovered using the chemical slug made of SDS surfactant, polymer, and MSN. The research data suggests that the MSN can increase the effectiveness of the chemical injection approach, which can be used to recover more oil. [ABSTRACT FROM AUTHOR]

rGO/Fe2O3 nanocomposites were synthesized using facile and inexpensive hydrothermal route. For the first time, these nanocomposites were incorporated in aerosol forming composites (AFCs), characterized and investigated for ultra-fast fire extinguishing applications. The morphological and structural characteristics were examined using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), Fourier transmission infrared spectroscopy (FTIR), Raman spectroscopy and energy dispersive X-ray spectroscopy (EDX). AFCs were also characterized for burn rate, combustion efficiency, minimum fire extinguishing concentration, fire extinguishing time, combustion temperature and activation energy. Characterization revealed successful synthesis of rGO/Fe2O3 nanocomposites having Fe2O3 nanoparticles (25–50 nm) over and in-between the graphene oxide nanosheets. Increase in combustion efficiency (9%) and burn rate (35%) and reduction in onset temperature (17.16%), combustion temperature (13.46%) and activation energy (37.71%) were observed on addition of 3% rGO/5.0Fe2O3 nanocomposite to base AFC. Increase in burn rate by 35% led to ultra-fast aerosol generation and faster (50% reduction in fire extinguishing time) fire extinguishment. AFCs found promising for incorporation in condensed aerosol-based fire extinguishing systems to comply futuristic quicker fire extinguishment requirements. [ABSTRACT FROM AUTHOR]

Over the years, scientific community has shown immense interest in the synthesis of novel, bioactive molecules with few adverse effects. Instead of painstaking multistep synthesis with hazardous synthetic reagents, also for clinical studies, it is better to enhance the activity and tuning by structural modification of the commercial drugs based on their structural and biological properties. It is demonstrated that diclofenac (DCF) be an effective analgesic and anti‐pyretic in the treatment of cancer‐related pain, but it has limitations and adverse effects as gastrointestinal irritation, small intestine damage, nausea, platelet dysfunction, and vertigo. Wherefore the main objective of the current research is to investigate new, novel, green methods of preparation of DCF derivatives, and structural characterization with the help of FT‐IR, UV‐Visible spectroscopy, MS spectrometry techniques. [ABSTRACT FROM AUTHOR]