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Wind farm flow control represents a category of control strategies for achieving wind-plant-level objectives, such as increasing wind plant power production and/or reducing structural loads, by mitigating the impact of wake interactions between wind turbines. Wake steering is a wind farm flow control technology in which specific turbines are misaligned with the wind to deflect their wakes away from downstream turbines, thus increasing overall wind plant power production. In addition to promising results from simulation studies, wake steering has been shown to successfully increase energy production through several recent field trials. However, to better understand the benefits of wind farm flow control strategies such as wake steering, the value of the additional energy to the electrical grid should be evaluated-for example, by considering the price of electricity when the additional energy is produced. In this study, we investigate the potential for wake steering to increase the value of wind plant energy production by combining model predictions of power gains using the FLOw Redirection and Induction in Steady State (FLORIS) engineering wind farm flow control tool with historical electricity price data for 15 existing US wind plants in four different electricity market regions. Specifically, for each wind plant, we use FLORIS to estimate power gains from wake steering for a time series of hourly wind speeds and wind directions spanning the years 2018-2020, obtained from the ERA5 reanalysis dataset. The modeled power gains are then correlated with hourly electricity prices for the nearest transmission node. Through this process we find that wake steering increases annual energy production (AEP) between 0.4g% and 1.7g%, depending on the wind plant, with average increases in potential annual revenue (i.e., annual revenue of production, ARP) 4g% higher than the AEP gains. For most wind plants, ARP gain was found to exceed AEP gain. But the ratio between ARP gain and AEP gain is greater for wind plants in regions with high wind penetration because electricity prices tend to be relatively higher during periods with below-rated wind plant power production, when wake losses occur and wake steering is active; for wind plants in the Southwest Power Pool-the region with the highest wind penetration analyzed (31g%)-the increase in ARP from wake steering is 11g% higher than the AEP gain. Consequently, we expect the value of wake steering, and other types of wind farm flow control, to increase as wind penetration continues to grow.

Electric transmission system operators (ISOs, RTOs, or utilities) require new large generators seeking to connect to the grid to undergo a series of impact studies before they can be built. This process establishes what new transmission equipment or upgrades may be needed before a project can connect to the system and assigns the costs of that equipment. Berkeley Lab has collected interconnection cost data for 845 projects from interconnection studies for the Southwest Power Pool (SPP) Territory. The studies were performed between 2002 and 2023 and include all of the most refined cost estimates available. Project-level cost summary data are available for download on this page.We find:-Project-specific interconnection costs can differ widely.-Average interconnection costs are stable for projects that complete all interconnection studies but have escalated for those that withdraw.-Broader network upgrade costs are the primary driver of recent cost increases, especially for withdrawn projects.-Potential interconnection costs of all solar and wind requests have been greater than those of storage and natural gas projects.-Economies of scale exist for completed wind and solar projects but not for other fuel types or withdrawn projects.-Interconnection costs vary by location.Berkeley Lab publishes a series of short analytical papers of generator interconnection costs to the transmission system for MISO, PJM, SPP, ISO-NE and NYISO, which you can find at https://emp.lbl.gov/interconnection_costs.

Electric transmission system operators (ISOs, RTOs, or utilities) require new large generators seeking to connect to the grid to undergo a series of impact studies before they can be built. This process establishes what new transmission equipment or upgrades may be needed before a project can connect to the system and assigns the costs of that equipment. Berkeley Lab has collected interconnection cost data from interconnection studies for the PJM Territory, representing nearly 86% of all new unique generators requesting interconnection from 2000 to 2022. Project-level cost summary data are available for download on this page.We find:-Average interconnection costs have grown as the number of interconnection requests have escalated-Projects that have completed all required interconnection studies have the lowest cost compared to applicants still actively working through the interconnection process or those that have withdrawn.-Broader network upgrade costs are the primary driver of recent cost increase.-Potential interconnection costs for wind, storage, and solar are larger than for natural gas-Larger generators have greater interconnection costs in absolute terms, but economies of scale exist on a per kW basis.-Interconnection costs vary by locationBerkeley Lab will publish a series of short analytical papers of generator interconnection costs to the transmission system for MISO, PJM, SPP, ISO-NE and NYISO, which you can find at https://emp.lbl.gov/interconnection_costs.

In this updated study, which samples 50% more capacity than the original and adds two additional years of operating history, we assess the performance of a fleet of 631 utility-scale PV plants totaling 31.0 GW-DC (23.6 GW-AC) of capacity that achieved commercial operations in the United States from 2007-2018 and that have operated for at least two full calendar years. We use detailed information on individual plant characteristics, in conjunction with modeled irradiance data, to model expected or “ideal” capacity factors in each full calendar year of each plant’s operating history. A comparison of ideal versus actual first-year capacity factors finds that this fleet has modestly underperformed initial expectations (as modeled) on average, though perhaps due as much to modeling issues as to actual underperformance. We then analyze fleet-wide performance degradation in subsequent years by employing a “fixed effects” regression model to statistically isolate the impact of age on plant performance. The resulting average fleet-wide degradation rate of -1.2%/year (±0.1%) represents a slight improvement (seemingly driven by the oldest plants in our sample) over the -1.3%/year (±0.2%) found in our original study, yet is still of greater magnitude than is commonly found. We emphasize, however, that these fleet-wide estimates reflect both recoverable and unrecoverable degradation across the entire plant, and so will naturally be of greater magnitude than module- or cell-level studies, and/or studies that focus only on unrecoverable degradation. Moreover, when focusing on a sub-sample of newer and larger plants with higher DC:AC ratios—i.e., plants that more-closely resemble what is being built today—we find a more moderate sample-wide average performance decline of -0.7%/year (±0.4%), which is more in line with other estimates from the recent literature.

Heart failure with improved ejection fraction (HFimpEF) has better outcomes than HF with reduced EF (HFrEF). However, factors contributing to HFimpEF remain unclear. This study aimed to evaluate clinical and longitudinal characteristics associated with subsequent HFimpEF. This was a single-center retrospective HFrEF cohort study. Data were collected from 2014 to 2022. Patients with HFrEF were identified using International Classification of Diseases codes, echocardiographic data, and natriuretic peptide levels. The main end points were HFimpEF (defined as EF >40% at ≥3 months with ≥10% increase) and mortality. Cox proportional hazards and mixed effects models were used for analyses. The study included 1,307 patients with HFrEF with a median follow-up of 16.3 months (interquartile range 8.0 to 30.6). The median age was 65 years; 68% were male whereas 57% were White. On follow-up, 38.7% (n = 506) developed HFimpEF, whereas 61.3% (n = 801) had persistent HFrEF. A multivariate Cox regression model identified gender, race, co-morbidities, echocardiographic, and natriuretic peptide as significant covariates of HFimpEF (p

Mesenchymal stem cells (MSCs) are novel therapeutics for the treatment of Crohn's disease. However, their mechanism of action is unclear, especially in disease-relevant chronic models of inflammation. Thus, we used SAMP-1/YitFc (SAMP), a chronic and spontaneous murine model of small intestinal inflammation, to study the therapeutic effects and mechanism of action of human bone marrow-derived MSCs (hMSC). hMSC dose-dependently inhibited naïve T lymphocyte proliferation via prostaglandin E2 (PGE2) secretion and reprogrammed macrophages to an anti-inflammatory phenotype. We found that the hMSCs promoted mucosal healing and immunologic response early after administration in SAMP when live hMSCs are present (until day 9) and resulted in a complete response characterized by mucosal, histological, immunologic, and radiological healing by day 28 when no live hMSCs are present. hMSCs mediate their effect via modulation of T cells and macrophages in the mesentery and mesenteric lymph nodes (mLN). Sc-RNAseq confirmed the anti-inflammatory phenotype of macrophages and identified macrophage efferocytosis of apoptotic hMSCs as a mechanism that explains their long-term efficacy. Taken together, our findings show that hMSCs result in healing and tissue regeneration in a chronic model of small intestinal inflammation and despite being short-lived, exert long-term effects via sustained anti-inflammatory programming of macrophages via efferocytosis.

This paper examines factors associated with intimate partner violence (IPV) among newly married women in Nepal, and how IPV was affected by food insecurity and COVID-19. Given evidence that food insecurity is associated with IPV and COVID-19, we explored whether increased food insecurity during COVID-19 is associated with changes in IPV. We used data from a cohort study of 200 newly married women aged 18-25 years, interviewed five times over two years at 6-month intervals (02/2018-07/2020), including after COVID-19-associated lockdowns. Bivariate analysis and mixed-effects logistic regression models were used to examine the association between selected risk factors and recent IPV. IPV increased from 24.5% at baseline to 49.2% before COVID-19 and to 80.4% after COVID-19. After adjusting for covariates, we find that both COVID-19 (OR = 2.93, 95% CI 1.07-8.02) and food insecurity (OR = 7.12, 95% CI 4.04-12.56) are associated with increased odds of IPV, and IPV increased more for food-insecure women post COVID-19 (compared to non-food insecure), but this was not statistically significant (confidence interval 0.76-8.69, p-value = 0.131). Young, newly married women experience high rates of IPV that increase with time in marriage, and COVID-19 has exacerbated this, especially for food-insecure women in the present sample. Along with enforcement of laws against IPV, our results suggest that special attention needs to be paid to women during a crisis time like the current COVID-19 pandemic, especially those who experience other household stressors.

This study focuses on one potential benefit of transmission infrastructure—congestion relief. It explores historical grid conditions from 2012 through the first half of 2022, and evaluates the marginal value of transmission in facilitating trade within and across regional boundaries by calculating differences in observed nodal wholesale power prices. The study finds that wholesale power prices exhibit stark geographic differences that, in many cases, are stable over time. Many regional and interregional transmission links have significant potential economic value from reducing congestion and expanding opportunities for trade. In fact, many links have hourly average pricing differences in 2021 that exceeded $15/MWh—equivalent to $130 million per year for a 1000 MW link. The value of transmission is correlated with overall energy prices and varies by region and year. Critically, extreme conditions and high-value periods play an outsized role in the value of transmission, with 50% of transmission’s congestion value coming from only 5% of hours. Transmission planners run the risk of understating the benefits of regional and interregional transmission if extreme conditions and high-value periods are not adequately considered. These periods are natural features of actual market operations. As such, the study highlights the need for planners to more-comprehensively assess the value of transmission under both normal and extreme conditions.

The energy transition towards a more sustainable and renewable future is a pivotal global endeavor. Central to this shift for the United States is the critical role of domestically sourced lithium, a key mineral in the production of high-performance batteries essential for electric vehicles and renewable energy storage systems. This has driven the United States to invest heavily in a domestic supply chain for battery-grade lithium to enhance energy security, reduce supply chain vulnerabilities, and foster economic growth by tapping into local resources. A notable example is the Biden Administration’s “American Battery Materials Initiative,” which was included in the $2.8-billion Bipartisan Infrastructure Law (The White House, 2022). The “Salton Sea Known Geothermal Resource Area” in Imperial County, California has been identified as a potential domestic U.S. resource of lithium due to the brine-hosted lithium in the deep subsurface geothermal reservoir. An analysis funded by the U.S. Department of Energy provides an overview of opportunities and challenges associated with developing the lithium resource in the Salton Sea geothermal reservoir, as well as potential environmental and societal impacts to the county and surrounding region. The geologic history of the region suggests that lithium in the subsurface brines could have come from multiple sources, including water and sediments from the Colorado River, which have been periodically deposited over the past several million years; rocks from the mountain ranges surrounding the Imperial Valley; and lithium-bearing volcanic rocks and igneous intrusions from past geologic events. Further, several processes may have concentrated lithium in the brine over time, including evaporative concentration of lithium-bearing water that flowed into the basin and leaching of lithium from the sediments and rocks by the circulating geothermal brines. Geothermal brine production at the Salton Sea Geothermal Field, the area with existing geothermal power plants, has averaged just over 120 million metric tons per year since 2004. Using an approximate lithium brine concentration of 198 parts per million (ppm), the amount of dissolved lithium contained in these produced brines is estimated to be 127,000 metric tons of lithium carbonate equivalent (LCE) per year. The total dissolved lithium content in the well-characterized portion of the Salton Sea Geothermal Reservoir is estimated at 4.1 million metric tons of LCE, and the estimated total resource increases to 18 million metric tons of LCE if assumptions for porosity and total reservoir size are increased to reflect the probable resource extent. Analysts measured lithium concentrations in the reservoir rocks, which were shown to vary with depth and mineralogy. These data were used to help refine conceptual and computer models of the reservoir; specifically, two complementary computer models of the reservoir were developed. Analysts used the first model to simulate the approximate 30-year history of geothermal power production in the area using historical production and reinjection data, then used that model to simulate a 30-year forecasting period. This forecast assumed continued production and reinjection rates at current levels but removes 95% of the lithium from the produced geothermal brine starting January 1, 2024. The model found that lithium recovery declines by more than half, from 0.8 to 0.3 kilograms per second (kg/s). Forecast scenarios that are optimized to both recover lithium and harness geothermal energy are expected to sustain lithium production rates much more effectively.The second model included more detailed simulations of the movement of brine and chemical reactivity of lithium within the reservoir. It showed that the reactions of relatively stable lithium-bearing minerals are slow, and that the primary replenishment mechanism for lithium in the brines is the upward flux of convecting lithium-rich brine from below the producing reservoir. However, these replenishment rates are not fast enough to produce significant increases in lithium, which could limit the long-term sustainability of the lithium resource. It is important to note that these models are preliminary and are based on current understanding of fluid replenishment rates, the minerals present in the geothermal system, and their chemical properties and reactivity. Further work should be undertaken to improve them and the associated predictions. The report also considered potential impacts on regional water resources, air quality, chemical use, and solid waste disposal needs, as well as the seismic risk associated with geothermal power production and lithium extraction activity. These investigations highlighted the need to proceed with good monitoring and verification systems and with appropriate mitigation technologies. However, the analysis illustrates that if these things are done properly, lithium development is not likely to create significant negative environmental impacts.Specifically, expanding geothermal energy production and lithium extraction will have a modest impact on water availability in the region. Initial estimates suggested that ~3% of historically available water supply for the region would be needed for currently proposed geothermal energy and lithium recovery operations; the majority of current water usage is for agriculture. It is not anticipated that expanding geothermal capacity or lithium production would impact the availability or quality of water used for human consumption and will not directly affect the water quality of the Salton Sea. However, the long-term drought conditions in the western United States may restrict future availability of water to the region, which is sourced from the Colorado River.In terms of regional air emissions of all pollutants identified in the analysis (particulate matter, hydrogen sulfide, ammonia, and benzene, expanding geothermal energy and adding lithium extraction overall have a small impact. Chemical use involved in geothermal power production and lithium extraction is consistent with chemical use in industrial settings, and the analysis did not identify any persistent organic pollutants or acutely toxic chemicals among those currently being used. Moving fluids within the subsurface can impact subsurface pressures and stresses, potentially triggering seismic activity. Early in geothermal energy production, increasing seismicity rates in the Salton Sea Geothermal Field correlated strongly with energy production activity; however, that correlation weakened after 1996. Even following the onset of geothermal energy production, seismic hazard in the Salton Sea Geothermal Field has not increased beyond that of the surrounding region.In addition to technical outcomes from the analysis, the report describes an initial effort to incorporate community engagement into lithium research by understanding the local context and priorities and identifying how to effectively communicate to share information and gather feedback. The report includes information about the social and historical context of the region to enable a more holistic understanding of the resource and its potential impact, and identifies key community questions by observing public meetings, visiting the region, and consulting with local organizations. The report provides recommendations about how future research efforts can address community concerns and implement more community-engaged practices. These include developing formal partnerships with local organizations and establishing a community advisory board to facilitate ongoing dialogue and opportunities for feedback. The future work will build on and further refine the models and scenarios presented in the report and strive to deepen engagement with local communities.

Zifang Shang,1,* Vipasha Sharma,2,* Tarun Kumar,3 Kamal Dev,4,5 Sandip Patil6 1Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou Academy of Medical Sciences, Meizhou People’s Hospital (Huangtang Hospital), Meizhou, 514031, People’s Republic of China; 2Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India; 3Mkelly Biotech Pvt Ltd., Mohali, Punjab, India; 4Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Solan, Himachal Pradesh, India; 5Department of Pharmacology and Toxicology, Wright State University, Dayton, OH, USA; 6Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, People’s Republic of China*These authors contributed equally to this workCorrespondence: Sandip Patil; Vipasha Sharma, Email sandippatil1309@yahoo.com; sharma.vipasha@gmail.comBackground: The global threat of multi-drug-resistant bacteria has severely limited the options available for effective antibiotics. This study focuses on the antimicrobial activity and phytochemical characterization of C. oppositifolia extracts, aiming to identify novel plant-based therapeutic agents.Methods: C. oppositifolia specimens-leaves and inflorescence. Specimens were cleaned, sterilized, dried, and ground into a fine powder. Extracts were obtained using methanol and petroleum ether via a Soxhlet apparatus, followed by fractionation with chloroform, n-butanol, and ethyl acetate. Volatile oil was extracted through hydro distillation using a Clevenger apparatus. Phytochemical analysis was conducted to identify bioactive compounds. Biophysical techniques, including UV-visible spectrophotometry, TLC, HPLC, GC-MS, FTIR, and NMR, were employed for characterization. Antimicrobial activity was tested against S. aureus ATCC25922 and E. coli ATCC25922 using agar well and disc diffusion methods, and synergistic effects were assessed with erythromycin and amoxicillin.Results: Methanol extract exhibited bacteriostatic activity with inhibition zones of 13.0 ± 0.2 mm for both S. aureus and E. coli. Petroleum ether, chloroform, n-butanol, and ethyl acetate fractions showed varying inhibition zones. Erythromycin demonstrated bactericidal activity, which was enhanced synergistically when combined with methanol extract and volatile oil, increasing inhibition zones against S. aureus. Phytochemical analysis identified phenols, flavonoids, tannins, coumarins, alkaloids, terpenoids, saponins, and glycosides. FTIR analysis revealed functional groups such as amines, aldehydes, nitriles, alkenes, and sulfones. GC-MS identified 24 compounds, with α-pinene, caryophyllene, and carene as major components. NMR spectra indicated no complex formation between oils and antibiotics, suggesting the compounds act as synergists.Conclusion: The C. oppositifolia extracts possess significant antimicrobial activity and synergistic potential, particularly against S. aureus. The presence of various bioactive compounds suggests a promising role in developing new plant-based therapeutics.Keywords: C. oppositifolia, antimicrobial activity, phytochemical characterization, multidrug-resistant pathogens, synergistic effects

Objective: Public spitting attributable to Smokeless Tobacco (SLT) use not only causes a threat to public cleanliness but also to the people exposed around them. An electronic search on various anti-spitting laws and ban in India was done using Google search engine for duration of three months (November 2018 to January 2019). Material and Methods: The original state gazettes were reviewed to extract the data on spit ban and penalty. Renewals of Acts were also thoroughly checked for recent updates of penalty or severity of the act. The law implementing bodies were broadly classified as National, State, Municipal, Village councils (Gram Panchayat), Airports, Metro Railway, and Company Law Tribunal. Results: A total of 42 Anti-spitting laws were identified in this search and 16 states had anti spitting law under different sectors. Discussion: Under these laws, sign boards and warnings are placed commonly at Airports, Railway stations, and metro stations. States with high rates of SLT users like Tripura, Arunachal Pradesh and Mizoram did not have any policy on spitting. Conclusion: Strong enforcement of anti-spitting laws in India will not only reduce spread of communicable diseases but also indirectly will reduce the act of using SLT also.

Aim: The aim of this study was to evaluate the penetration depth of three different irrigant solutions incorporated with nanoparticles (NPs) using a confocal laser scanning microscope. Methods: Forty-two single-rooted teeth were used. Access cavities were prepared, and working length was determined. The samples were split into three groups at random (n = 14). Group 1 – chitosan NPs, Group 2 – zinc oxide NPs, and Group 3 – silica-doped titanium NPs. Each group was further divided into subgroup A with activation and subgroup B without activation. Each tooth received final irrigants for 1 min. Each sample is sectioned at 3 mm from the apex. A confocal laser scanning microscope was used to observe the irrigant penetration. Results: The results showed that there was a significant difference in the penetration depth in Group 2A and Group 3A. Conclusion: Activation with PATS Vario increases the penetration when compared to conventional syringe, and zinc oxide NP solution showed increased penetration when compared with other groups.

Abstract The current study aimed at population genetic characterization of B. vogeli based on the cytochrome b (cyt b) gene sequences (≥ 685 bp) available in the GenBank. Phylogenetic trees placed all the sequences of B. vogeli in a single large monophyletic clade; however, it was further divided into two subclades (Bv1 and Bv2). Out of seven nucleotide variations observed between Bv1 and Bv2 subclades, four were synonymous (G92A, C170T, T488C and A659G), and three were non-synonymous (G324A, C438A and G465A) resulting in amino acid substitutions at three places (V108I, L146I and V155I). Within different B. vogeli populations, the nucleotide and haplotype diversities were low. The median-joining haplotype network revealed only two haplotypes (Hap_1 and Hap_2). A geographical sub-structuring was noticed in the B. vogeli populations, with moderate genetic differentiation (FST = 0.05000; P

Abstract We derive novel black hole solutions in a modified gravity theory, namely the Hu–Sawicki model of f(R) gravity. After obtaining the black hole solution, we study the horizon radius of the black hole from the metric and then analyse the dependence of the model parameters on the horizon. We then use the 6th order WKB method to study the quasinormal modes of oscillations (QNMs) of the black hole perturbed by a scalar field. The dependence of the amplitude and damping part of the QNMs are analysed with respect to variations in model parameters and the error associated with the QNMs are also computed. After that we study some thermodynamic properties associated with the black hole such as its thermodynamic temperature as well as greybody factors. It is found that the black hole has the possibility of showcasing negative temperatures and is thermodynamically unstable for feasible values of model parameters. Then we analyse the geodesics and derive the photon sphere radius as well as the shadow radius of the black hole. The photon radius is independent of the model parameters while shadow radius showed fair amount of dependence on the model parameters. We tried to constrain the parameters with the help of Keck and VLTI observational data and obtained some bounds on m and $$c_{2}$$ c 2 parameters.

With the advent of technology, it has become possible to perform direct numerical simulations and the demand for high accuracy computing is increasing. Numerical simulations play an important part in understanding physics of the flow and instability mechanism in flows. For high accuracy, numerical schemes must be chosen that satisfy the physical dispersion relation, should not amplify or attenuate the solution and resolve all possible length and time scales. In the present paper, spectral stability analysis of linear convection equation is performed using first order forward difference (FD1) method and fourth order Runge Kutta (RK4) method, consisting of four stages, for time discretization and a second order central difference (CD2) method for evaluating spatial derivative. The results show that the presence of numerical instability for FD1 method is independent of the CFL number, consistent with the stability analysis which showed FD1 method to be unconditionally unstable. However, for RK4 method, the solution is found to be neutrally stable only for a particular range of CFL number, even stable solution introduced error by attenuating the computed or analytical solution.

In order to obtain important knowledge for raising the performance and efficiency of propulsion systems, in this paper we investigate the dynamics process of pressure gain combustion in the Pulse Detonation Engine. Through comprehensive experimentation, we analyse the intricate mechanisms governing the pressure gain combustion in PDEs. Our findings present innovative methods for increasing combustion efficiency, boosting thrust generation, and addressing operational difficulties in PDE designs. Additionally, we discuss creative strategies for utilizing pressure gain effects to enhance engine performance metrics.

Abstract The ability to image tissues in three dimensions (3D) with label-free molecular contrast at the mesoscale would be a valuable capability in biology and biomedicine. Here, we introduce Raman spectral projection tomography (RSPT) for volumetric molecular imaging with optical sub-millimeter spatial resolution. We have developed a RSPT imaging instrument capable of providing 3D molecular contrast in transparent and semi-transparent samples. We also created a computational pipeline for multivariate reconstruction to extract label-free spatial molecular information from Raman projection data. Using these tools, we demonstrate imaging and visualization of phantoms of various complex shapes with label-free molecular contrast. Finally, we apply RSPT as a tool for imaging of molecular gradients and extracellular matrix heterogeneities in fixed and living tissue-engineered constructs and explanted native cartilage tissues. We show that there exists a favorable balance wherein employing Raman spectroscopy, with its advantages in live cell imaging and label-free molecular contrast, outweighs the reduction in imaging resolution and blurring caused by diffuse photon propagation. Thus, RSPT imaging opens new possibilities for label-free molecular monitoring of tissues.

Abstract Background The healthcare system in India is tiered and has primary, secondary and tertiary levels of facilities depending on the complexity and severity of health challenges at these facilities. Evidence suggests that emergency services in the country is fragmented. This study aims to identify the barriers and facilitators of emergency care delivery for patients with time-sensitive conditions, and develop and implement a contextually relevant model, and measure its impact using implementation research outcomes. Methods We will study 85 healthcare facilities across five zones of the country and focus on emergency care delivery for 11 time-sensitive conditions. This implementation research will include seven phases: the preparatory phase, formative assessment, co-design of Model “Zero”, co-implementation, model optimization, end-line evaluation and consolidation phase. The “preparatory phase” will involve stakeholder meetings, approval from health authorities and the establishment of a research ecosystem. The “formative assessment” will include quantitative and qualitative evaluations of the existing healthcare facilities and personnel to identify gaps, barriers and facilitators of emergency care services for time-sensitive conditions. On the basis of the results of the formative assessment, context-specific implementation strategies will be developed through meetings with stakeholders, providers and experts. The “co-design of Model ‘Zero’” phase will help develop the initial Model “Zero”, which will be pilot tested on a small scale (co-implementation). In the “model optimization” phase, iterative feedback loops of meetings and testing various strategies will help develop and implement the final context-specific model. End-line evaluation will assess implementation research outcomes such as acceptability, adoption, fidelity and penetration. The consolidation phase will include planning for the sustenance of the interventions. Discussion In a country such as India, where resources are scarce, this study will identify the barriers and facilitators to delivering emergency care services for time-sensitive conditions across five varied zones of the country. Stakeholder and provider participation in developing consensus-based implementation strategies, along with iterative cycles of meetings and testing, will help adapt these strategies to local needs. This approach will ensure that the developed models are practical, feasible and tailored to the specific challenges and requirements of each region.

Abstract Cisplatin-induced nephrotoxicity restricts its clinical use against solid tumors. The present study elucidated the pharmacological effects of Renogrit, a plant-derived prescription medicine, using cisplatin-induced human renal proximal tubular (HK-2) cells and Caenorhabditis elegans. Quantification of phytochemicals in Renogrit was performed on HPTLC and UHPLC platforms. Renogrit was assessed in vitro in HK-2 cells post-exposure to clinically relevant concentration of cisplatin. It was observed that renoprotective properties of Renogrit against cisplatin-induced injury stem from its ability to regulate renal injury markers (KIM-1, NAG levels; NGAL mRNA expression), redox imbalance (ROS generation; GST levels), and mitochondrial dysfunction (mitochondrial membrane potential; SKN-1, HSP-60 expression). Renogrit was also found to modulate apoptosis (EGL-1 mRNA expression; protein levels of p-ERK, p-JNK, p-p38, c-PARP1), necroptosis (intracellular calcium accumulation; RIPK1, RIPK3, MLKL mRNA expression), mitophagy (lysosome population; mRNA expression of PINK1, PDR1; protein levels of p-PINK1, LC3B), and inflammation (IL-1β activity; protein levels of LXR-α). More importantly, Renogrit treatment did not hamper normal anti-proliferative effects of cisplatin as observed from cytotoxicity analysis on MCF-7, A549, SiHa, and T24 human cancer cells. Taken together, Renogrit could be a potential clinical candidate to mitigate cisplatin-induced nephrotoxicity without compromising the anti-neoplastic properties of cisplatin.

Abstract The present investigation reported that FYM application in different seasons influenced root, shoot, and seedling length, straw K, vigour index-I, nutrient uptake, grain, and stover yield of pearl millet significantly (P kharif > rabi. Applying FYM in both seasons resulted in higher N, P, and K content in pearl millet grain (1.99%, 0.17%, and 0.37%, respectively) followed by kharif season application (1.93, 0.16, and 0.35%, respectively). Applying 15 t FYM ha−1 significantly increased the grain N (13.19%), P (63.16%), K (22.29%), protein (13.56%), stover N (32.76%), P (46.66%) and root length (29.83%) over FYM0. After 50 cropping cycles, continuous application of FYM15, FYM10, and FYM5 significantly improved vigour index-I by 52.85, 39.26, and 23.63% over no FYM, respectively. Applying 120 kg N ha−1 significantly increased N (6.38%), P (15.89%), and protein (6.03%) content, germination (5.91%), and vigour indexes (24.52 to 30.91%) of pearl millet grain over no fertilizer N. The treatment FYM15 × N120 increased the seedling length of pearl millet by 30.54 over N120 and 11.08% over FYM15 alone, respectively. Adding FYM either during both seasons or in the kharif season along with fertilizer N proved superior in improving the quality and yield of pearl millet.

Abstract More than half of the world’s rivers dry up periodically, but our understanding of the biological communities in dry riverbeds remains limited. Specifically, the roles of dispersal, environmental filtering and biotic interactions in driving biodiversity in dry rivers are poorly understood. Here, we conduct a large-scale coordinated survey of patterns and drivers of biodiversity in dry riverbeds. We focus on eight major taxa, including microorganisms, invertebrates and plants: Algae, Archaea, Bacteria, Fungi, Protozoa, Arthropods, Nematodes and Streptophyta. We use environmental DNA metabarcoding to assess biodiversity in dry sediments collected over a 1-year period from 84 non-perennial rivers across 19 countries on four continents. Both direct factors, such as nutrient and carbon availability, and indirect factors such as climate influence the local biodiversity of most taxa. Limited resource availability and prolonged dry phases favor oligotrophic microbial taxa. Co-variation among taxa, particularly Bacteria, Fungi, Algae and Protozoa, explain more spatial variation in community composition than dispersal or environmental gradients. This finding suggests that biotic interactions or unmeasured ecological and evolutionary factors may strongly influence communities during dry phases, altering biodiversity responses to global changes.

Abstract We introduce University of Texas - GLObal Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200 city or locales worldwide. UT-GLOBUS combines open-source spaceborne altimetry (ICESat-2 and GEDI) and coarse-resolution urban canopy elevation data with a machine-learning model to estimate building-level information. Validation using LiDAR data from six U.S. cities showed UT-GLOBUS-derived building heights had a root mean squared error (RMSE) of 9.1 meters. Validation of mean building heights within 1-km2 grid cells, including data from Hamburg and Sydney, resulted in an RMSE of 7.8 meters. Testing the UCPs in the urban Weather Research and Forecasting (WRF-Urban) model resulted in a significant improvement (55% in RMSE) in intra-urban air temperature representation compared to the existing table-based local climate zone approach in Houston, TX. Additionally, we demonstrated the dataset’s utility for simulating heat mitigation strategies and building energy consumption using WRF-Urban, with test cases in Chicago, IL, and Austin, TX. Street-scale mean radiant temperature simulations using the SOlar and LongWave Environmental Irradiance Geometry (SOLWEIG) model, incorporating UT-GLOBUS and LiDAR-derived building heights, confirmed the dataset’s effectiveness in modeling human thermal comfort in Baltimore, MD (daytime RMSE = 2.85°C). Thus, UT-GLOBUS can be used for modeling urban hazards with significant socioeconomic and biometeorological risks, enabling finer scale urban climate simulations and overcoming previous limitations due to the lack of building information.

Abstract Background Diet and exercise are important components of treatment for complex chronic conditions, however access to allied health support is limited. When available, support is often siloed and fragmented. Digital health incorporating patient choice may help to align health care services with preferences and goals. This study evaluated the implementation of a ubiquitously accessible patient-centred digital health diet and exercise service. Methods U-DECIDE was a single-centre, 26-week randomised controlled trial set in kidney and liver disease clinics in a tertiary hospital in Brisbane, Australia. Participants were adults with a complex chronic condition referred for dietetic consultation with at least one feature of the metabolic syndrome. All participants received a dietary consultation, an activity monitor and usual care. Intervention participants were offered one text message per week and access to additional digital health options (increased text message frequency, nutrition app, exercise app, group-based diet and/or exercise video consultations). The primary outcome of feasibility was determined by safety (study-related serious adverse events: SRSAEs), recruitment (≥ 50% eligible patients), retention (≥ 70%), exposure uptake (≥ 75% of intervention group had greater access to health professional contact than comparator) and video consultation adherence (≥ 80% attendance). Secondary outcomes included process evaluation metrics and clinical outcomes. Results Of 67 participants (intervention n = 33, comparator n = 34), 37 (55%) were men, median (IQR) age was 51 (41–58) years. The most chosen digital health options were the nutrition app (n = 29, 88%) and exercise video consultations (n = 26, 79%). Only one participant chose no additional digital health options. The intervention group had no SRSAEs. The study exceeded targets for recruitment (52%), retention (81%) and exposure uptake (94%). Video consultation adherence was 42%. Engagement across digital health options was inconsistent. Conclusions Digital health options incorporating patient choice were feasible and can be offered to people with complex chronic disease as a service model option. Trial registration Australia and New Zealand Trials Register: Trial Registration Number: ACTRN12620001282976. Registered 27th November 2020.

The androgen receptor (AR) is the main driver in the development of castration‐resistant prostate cancer, where the emergence of AR splice variants leads to treatment‐resistant disease. Through detailed molecular studies of the marine alkaloid manzamine A (MA), we identified transcription factor E2F8 as a previously unknown regulator of AR transcription that prevents AR synthesis in prostate cancer cells. MA significantly inhibited the growth of various prostate cancer cell lines and was highly effective in inhibiting xenograft tumor growth in mice without any pathophysiological perturbations in major organs. MA suppressed the full‐length AR (AR‐FL), its spliced variant AR‐V7, and the AR‐regulated prostate‐specific antigen (PSA; also known as KLK3) and human kallikrein 2 (hK2; also known as KLK2) genes. RNA sequencing (RNA‐seq) analysis and protein modeling studies revealed E2F8 interactions with DNA as a potential novel target of MA, suppressing AR transcription and its synthesis. This novel mechanism of blocking AR biogenesis via E2F8 may provide an opportunity to control therapy‐resistant prostate cancer over the currently used AR antagonists designed to target different parts of the AR gene.

Background: Respiratory diseases pose a significant challenge in Nepali clinical settings due to elevated smoking rates and environmental risks. This study explores the structural changes in conditions such as asthma, chronic obstructive pulmonary disease, and bronchiectasis, utilizing noninvasive multi-detector computed tomography to assess airway remodeling. Despite conflicting western literature on bronchoarterial ratios, this research emphasizes the importance of evaluating these ratios in the Nepalese context for predicting airway disease severity. Materials and Methods: The cross-sectional study conducted at Nobel Medical College and Teaching Hospital involved 129 participants aged over 20 undergoing chest computed tomography. It aimed to measure the bronchoarterial ratio and investigate its associations with age, gender, smoking history, and altitude of residence. Bronchoarterial ratios was calculated using averaged short-axis diameters of the right apical and right posterior basal segmental bronchi, excluding the left lung due to motion artifacts. Results: Analysis indicated a Mean Bronchoarterial Ratio of 0.823 (SD 0.151), with the apical and basal segment BARs at 0.832 (SD 0.148) and 0.814 (SD 0.153), respectively. Notably, individuals aged over 65 who were smokers exhibited a significant increase in BAR. Additionally, a higher altitude of residence demonstrated a significant correlation with the Bronchoarterial ratio in the apical lung segment. Conclusion: This study provides valuable insights into the bronchoarterial ratio within the Nepalese population, considering age, gender, smoking history, and altitude of residence. The findings underscore the potential relevance of these ratios in conditions involving airway remodeling, contributing to the understanding of respiratory diseases in this specific demographic.

Background: Subarachnoid spread of local anesthetics is quite erratic and is determined by several factors. There is a high predictive for the spread of spinal anaesthesia in terms of abdominal girth and vertebral column length. Our study is designed to determine the effect of abdominal girth and vertebral column length with cephalad spread of spinal anaesthesia for a given dose of 0.5% hyperbaric bupivacaine in Nepalese patients. Materials and Methods: In this prospective observational study, a total 100 patients of ASA PS I-II, aged16-65 years and undergoing lower extremity surgery under spinal anesthesia were enrolled. 2.8 mL of 0.5% hyperbaric bupivacaine was injected intrathecally at L3-4 interspace in sitting position. Extent of sensory blockade was assessed for 60 min. Simple linear regression, multiple linear regression and Pearson’s correlation coefficient analysis were performed to determine the correlation between patient variables viz abdominal girth, vertebral column length, height, weight, body mass index and age and maximum sensory block height. Results: Abdominal girth and vertebral column length correlated significantly with the maximal sensory block height after intrathecal administration of a fixed dose of 0.5% hyperbaric bupivacaine by all the three statistical tools used. Conclusion: Abdominal girth and vertebral column lengthcorrelate significantly with the maximal sensory block height in Nepalese patients receiving a fixed dose subarachnoid block with 0.5% hyperbaric bupivacaine

Job satisfaction significantly impacts teachers' overall well-being and mental health. Research reveals a strong connection between employment status and mental health, with teaching being a particularly stressful profession. The COVID-19 pandemic exacerbated these challenges, with the shift to online education and limited support causing heightened stress, anxiety, and depression. This study analyses scientific literature exploring the link between job satisfaction and mental health (depression, stress, and anxiety) in teachers. By examining relevant articles in major databases like Web of Science, PSYNDEX, PsycINFO, MEDLINE, EMBASE, and Google Scholar, the research identifies numerous sociodemographic and institutional factors contributing to teachers' mental health struggles, including workload, teaching experience, job satisfaction, gender, and the nature of online education. The findings highlight the urgent need for educational policymakers to develop policies prioritizing teacher well-being, especially during times of crisis. This involves addressing factors affecting job satisfaction and implementing strategies to promote mental health support for educators.

Purpose: The purpose of this paper is to explore and analyze the context and concept of higher education for sustainable development (HESD) in Nepalese higher educational institutions (HEIs). Design/methodology/approach: The research gathers facts and information both from primary and secondary sources. Five open-ended questions were developed to interview university high-ranking officials, such as VCs, registrars, deans and the chief of the planning division. Findings: The inclusion of 17 sustainable development goals in the country's Fifteenth Plan, national policy documents, and the University Grants Commission-led higher education reform programme provides sufficient context for HESD. In the absence of HESD literacy and a persuasive strategy, university leadership is less active in lobbying for SDG 4.7 with the government and funding agencies, university faculties and trade unions. In fact, both insights and initiatives to conceptualize HESD are lacking. Research limitations/implications: This study's setting is distinct and the interpretation of the HESD concept is based on a small sample size. Thus, the generalization of its findings is intrinsically limited in the context of a country in the geographic region. However, the findings of this research provide practical insights to implement HESD in Nepalese HEIs. Practical implications: This study is intended to inform and prepare the Nepalese academic community, urging HEIs to implement HESD with a well-defined plan of action. It contributes to the literature by considering how the current context and concept of HESD suites to promote sustainability in Nepalese HEIs, transforming the traditional academic structure and making academic leaders aware that HESD is only a means to an end. Originality/value: This research is Nepal's first study of its type with a broad understanding of the context and concept of HESD. It also provides information for HEI leaders on how to initiate the HESD acceleration process.

In the countries that receive aid from donor agencies, the educational policymaking process is not straightforward because the power and interest of donors contradict with national contexts. This qualitative study aims to investigate how educational policy decisions in Nepal, a country that receives foreign aid for its educational projects, are made. Drawing on the Habermasian conceptualisation of deliberative democracy, I theorise that educational policy decisions are made either through deliberation or decisionism. An analysis of interviews conducted with educational policymakers of Nepal found that policymaking in Nepal follows decisionism in which the representatives of foreign aid agencies are more dominant than national bureaucrats. Even though Nepali bureaucrats and political leaders are involved in the decision-making process, rational interactions do not happen because they want to fulfil their personal interests by endorsing the decisions determined by the donors. This study concludes that because of decisionism, neocolonialism, and dysfunctional policy sphere, teachers, students, parents, and community people are excluded in the decision-making process. The findings are significant not only for understanding the lack of deliberation in the policymaking process but also for improving the educational praxis of aid-recipient countries like Nepal.