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Frequency regulation of low inertia symmetric micro grids with the incorporation of asymmetric renewable sources such as solar and wind is a challenging task. Virtual Inertia Control (VIC) is the idea of increasing micro grids’ inertia by energy storage systems. In the current study, an adaptive fuzzy PID structure with a derivative filter (AFPIDF) controller is suggested for VIC of a micro grid with renewable sources. To optimize the proposed controllers, a modified Golden Jackal Optimization (mGJO) has been proposed, where variable Sine Cosine adopted Scaling Factor (SCaSF) is employed to adjust the Jackal’s location in the course of search process to improve the exploration and exploitation capability of the original Golden Jackal Optimization (GJO) algorithm. The performance of the mGJO algorithm is verified by equating it with original GJO, as well as Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Teaching Learning Based Optimization (TLBO) and Ant Lion Optimizer (ALO), considering various standard benchmark test functions. In the next stage, conventional PID and proposed FPIDF controller parameters are optimized using the proposed mGJO technique and the superiority of mGJO over other symmetric optimization algorithms is demonstrated. The robustness of the controller is also investigated under intermittent load disturbances, as well as different levels of asymmetric RESs integration.

Product lines are ubiquitous. For example, Marriott International manages high-end ultra-luxury hotels (e.g., Ritz-Carlton) and low-end economy hotels (e.g., Fairfield Inn). Firms often bundle core products with ancillary services (or add-ons). Interestingly, empirical observations reveal that industries with ostensibly similar characteristics (e.g., customer types, costs, competition, distribution channels, etc.) employ different bundling strategies. For example, airlines bundle high-end first class with ancillary services (e.g., breakfast, entertainment) while hotel chains bundle ancillary services (e.g., breakfast, entertainment) at the low-end. We observe, unlike hotel lines that are highly differentiated at different geographic locations, airlines suffer low core differentiation because all passengers (first-class and economy) are at the same location (i.e., same plane, weather, delays, cancellations, etc.). In general, we find product lines with low core differentiation (e.g., airlines, amusement parks) routinely bundle high-end while product lines with highly differentiated cores (e.g., hotels, restaurants) routinely bundle low-end. High-end bundling makes the high-end more attractive, increasing line differentiation (less intraline competition) while low-end bundling decreases line differentiation. Therefore, bundling allows optimal differentiation given a differentiation constraint (complex costs). Last, firms may use strategic bundling for targeting in their core products; e.g., low-end hotels bundle targeted add-ons unattractive to high-end consumers such as lower-quality breakfasts and slower Internet. Data, as supplemental material, are available at https://doi.org/10.1287/mksc.2016.1004 .

The South Indian Granulite Terrane is traversed by several crustal scale shear zones, however the tectonic significance of the shear zones are poorly understood. The tectonic relevance of the Bavali Shear Zone (BSZ) ‒ in the WNW extremity of the Moyar Shear Zone ‒ at the interface between the Paleoarchean to Neoarchean Western Dharwar Craton (WDC) in the north and the late Neoarchean Nilgiri block in the south is poorly constrained. The most conspicuous feature in the WDC is a set of N-striking gently-plunging upright folds and N-striking dextral shear zones (deformation D 4 ). These D 4 structures are superposed on a shallowly-dipping D 3 recumbent folds and gently-dipping mylonite fabrics in a suite of anatectic gneisses, lower-grade supracrustal rocks and foliated granitoids. In regional scale, the D 3 fold axes curve into the WNW-striking BSZ (D 5 deformation), a steep-dipping transpressional shear zone with dextral kinematics. The BSZ is characterized by steeply-plunging stretching lineations sub-parallel to the hinges of reclined folds on the pre-shearing fabrics in the lithologies of the adjacent cratons. Syn-D 5 charnockite veins suggest the BSZ formed at T > 850 °C. Existing U–Pb (zircon) dates and monazite chemical dates (this study), indicate that the deformation-metamorphism-magmatism in the WDC and the Nilgiri block occurred between 3400 and 2500 Ma; by contrast the high-T D 5 oblique crustal shortening in the BSZ contemporaneous with multiple felsic emplacements was active between 830 and 720 Ma. The BSZ collision orogeny possibly preceded the eventual integration of the Greater India landmass with the Gondwanaland during the early-Palaeozoic. Graphical abstract

Corona virus disease (COVID-19), one of the most life-threatening diseases which is highly harmful to the people in all over the world. The government of all countries in the world are in the situation to make effective steps to prevent the spread of COVID-19 in the society. If this situation continuous means the extinction of human beings may possible. So, the foremost action towards the virus is to stop spreading from the infected to the non-infected persons. To prevent spreading of the virus, one has to maintain social distancing from other people and personal hygiene. The main mode of transmission of the COVID-19 is by the droplets of saliva and the discharge from the nose. The governments laid a strict rule to wear a mask in the public places to prevent the spreading of the virus. Various technological techniques are well applied in pandemic studies. In this case we applied a deep learning algorithm to determine whether or not an individual is wearing a face mask. This research resulted in identification of face mask in the public places which results in the lowering of spread of the virus. This model is developed using the Convolutional Neural Network (CNN). It extracts the facial landmarks of the person and finds the face mask region. It is trained by datasets and predicts the result.

Objectives Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments. Design Prospective study. Setting Tertiary hospital critical care unit in the northwest of England. Participants 14 patients with tracheostomies, 3 female and 11 male. Main outcome measures Evaluation of dynamic time warping (DTW) and deep neural networks (DNN) methods in a speech/phrase recognition application. Using speech/phrase recognition app for voice impaired (SRAVI), patients attempted mouthing various supported phrases with recordings evaluated by both DNN and DTW processing methods. Then, a trio of potential recognition phrases was displayed on the screen, ranked from first to third in order of likelihood. Results A total of 616 patient recordings were taken with 516 phrase identifiable recordings . The overall results revealed a total recognition accuracy across all three ranks of 86% using the DNN method. The rank 1 recognition accuracy of the DNN method was 75%. The DTW method had a total recognition accuracy of 74%, with a rank 1 accuracy of 48%. Conclusion This feasibility evaluation of a novel speech/phrase recognition app using SRAVI demonstrated a good correlation between spoken phrases and app recognition. This suggests that speech/phrase recognition technology could be a therapeutic option to bridge the gap in communication in critically ill patients. What is already known about this topic Communication can be attempted using visual charts, eye gaze boards, alphabet boards, speech/phrase reading, gestures and speaking valves in critically ill patients with speech impairments. What this study adds Deep neural networks and dynamic time warping methods can be used to analyse lip movements and identify intended phrases. How this study might affect research, practice and policy Our study shows that speech/phrase recognition software has a role to play in bridging the communication gap in speech impairment.

Advancements in surgical and radiotherapy techniques have enhanced locoregional control (LRC) in head and neck squamous cell carcinoma (HNSCC), yet 30–40% of patients still experience recurrence within 2–3 years. Salvage surgery can result in significant morbidity and often fails to achieve optimal LRC as a standalone treatment. Modern radiotherapy (RT) techniques support highly conformal re-irradiation for small local recurrences with acceptable toxicity. The role of positron emission tomography (PET-CT) based contouring is under evaluation for re-irradiation settings. This retrospective study included patients treated with re-irradiation at a tertiary care center, focusing on those with prior HNSCC in the oral cavity, pharynx, or larynx, who had received radical or adjuvant RT and presented with biopsy-confirmed recurrences or second primary tumors. PET-CT was used for metastatic workup, with rigid image registration on planning CT scan employing a significant 40% SUVmax cut-off for tumor delineation. From January 2019 to June 2022, 85 patients underwent re-irradiation, with a median RT dose of 60 Gy (range: 44–66 Gy); 32 patients received concurrent chemoradiotherapy (CRT). Treatment planning used the volumetric modulated arc technique (VMAT), with the median Dmax for critical structures ranging from 7 Gy to 63 Gy. Acute grade 3 or higher mucositis, dysphagia, and odynophagia were observed in up to 23.5% of cases. At a median follow-up of 23 months, the 2-year disease-free survival (DFS) and overall survival (OS) rates were 55.2% and 63.5%, respectively. These promising results support PET-CT contouring-based planning as a potential standard of care in re-irradiation.

Phenotypic plasticity is a hallmark of cancer and is increasingly realized as a mechanism of resistance to androgen receptor-targeted (AR-targeted) therapy. Now that many prostate cancer (PCa) patients are treated upfront with AR-targeted agents, it is critical to identify actionable mechanisms that drive phenotypic plasticity, to prevent the emergence of resistance. We showed that loss of tristetraprolin (TTP; gene ZFP36) increased NF-κB activation, and was associated with higher rates of aggressive disease and early recurrence in primary PCa. We also examined the clinical and biological impact of ZFP36 loss with co-loss of PTEN, a known driver of PCa. Analysis of multiple independent primary PCa cohorts demonstrated that PTEN and ZFP36 co-loss was associated with increased recurrence risk. Engineering prostate-specific Zfp36 deletion in vivo induced prostatic intraepithelial neoplasia, and, with Pten codeletion, resulted in rapid progression to castration-resistant adenocarcinoma. Zfp36 loss altered the cell state driven by Pten loss, as demonstrated by enrichment of epithelial-mesenchymal transition (EMT), inflammation, TNF-α/NF-κB, and IL-6-JAK/STAT3 gene sets. Additionally, our work revealed that ZFP36 loss also induced enrichment of multiple gene sets involved in mononuclear cell migration, chemotaxis, and proliferation. Use of the NF-κB inhibitor dimethylaminoparthenolide (DMAPT) induced marked therapeutic responses in tumors with PTEN and ZFP36 co-loss and reversed castration resistance.

ObjectiveThe serrated neoplasia pathway accounts for up to 30% of all sporadic colorectal cancers (CRCs). Sessile serrated adenomas/polyps (SSA/Ps) with cytological dysplasia (SSA/P-D) are a high-risk serrated CRC precursor with little existing data. We aimed to describe the clinical and endoscopic predictors of SSA/P-D and high grade dysplasia (HGD) or cancer.DesignProspective multicentre data of SSA/Ps ≥20 mm referred for treatment by endoscopic mucosal resection (September 2008–July 2013) were analysed. Imaging and lesion assessment was standardised. Histological findings were correlated with clinical and endoscopic findings.Results268 SSA/Ps were found in 207/1546 patients (13.4%). SSA/P-D comprised 32.4% of SSA/Ps ≥20 mm. Cancer occurred in 3.9%. On multivariable analysis, SSA/P-D was associated with increasing age (OR=1.69 per decade; 95% CI (1.19 to 2.40), p0.004) and increasing lesion size (OR=1.90 per 10 mm; 95% CI (1.30 to 2.78), p0.001), an ‘adenomatous’ pit pattern (Kudo III, IV or V) (OR=3.98; 95% CI (1.94 to 8.15), p<0.001) and any 0-Is component within a SSA/P (OR=3.10; 95% CI (1.19 to 8.12) p0.021). Conventional type dysplasia was more likely to exhibit an adenomatous pit pattern than serrated dysplasia. HGD or cancer was present in 7.2% and on multivariable analysis, was associated with increasing age (OR=2.0 per decade; 95% CI 1.13 to 3.56) p0.017) and any Paris 0-Is component (OR=10.2; 95% CI 3.18 to 32.4, p<0.001).ConclusionsSimple assessment tools allow endoscopists to predict SSA/P-D or HGD/cancer in SSA/Ps ≥20 mm. Correct prediction is limited by failure to recognise SSA/P-D which may mimic conventional adenoma. Understanding the concept of SSA/P-D and the pitfalls of SSA/P assessment may improve detection, recognition and resection and potentially reduce interval cancer.Trial registration numberNCT01368289.

Ultrafine ground granulated blast furnace slag (UFGGBFS), because of its pozzolanic nature, could be an extraordinary resource for the advanced development needs, since slag cements concrete can be of elite, if properly planned. Improvement of the durability properties of concrete to support a more extended life expectancy and creating a climate amicable greener concrete are turning out to be significant standards in getting high quality concrete. Fusing Ultrafine Ground Granulated Blast Furnace Slag (UFGGBFS) as a mineral admixture enhances the workability of fresh concrete and decreased the link between pores; in this way, decreasing the permeability and improving the obstruction of the solid against chloride infiltration. The measure of ozone depleting substance delivered in making the concrete and the energy needed to create the concrete are significantly decreased with the utilization of UFGGBFS. Ultrafine GGBFS (UFGGBFS) with a normal molecule size less than 10m and a Blaine surface area more than 600m2/kg can significantly improve the properties of the concrete as far as diffusion and chemical reactivity impacts. Compared with GGBFS, the UFGGBFS increases the rate of hydration and pozzolanic responses and has a superior filling impact. In this study, the early development of mechanical strength and permeability properties of high strength concrete with UFGGBFS is examined. Total five mixes with 180kg/m3 each of both Ordinary Portland Cement (OPC) concrete and Ultrafine Ground Granulated Blast furnace Slag (UFGGBFS) concrete were designed. The mixes starts from 0% replacement and gradually increases up to 20% (i.e 0, 5, 10, 15 and 20%) of identical all total cementitious materials with UFGGBFS substitution were planned and a sum of 145 samples from the five blends were projected. Compressive strength parameters, flexural strength parameter, modulus of elasticity parameter and water permeability test outcomes are introduced.