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The genetic underpinning of neurodevelopmental disorders (NDDs) in diverse ethnic populations, especially those with high rates of consanguinity, remains largely unexplored. Here, we aim to elucidate genomic insight from 576 well-phenotyped and highly consanguineous (16%) NDD cohort.

This paper presents a new three-phase integrated module multilevel inverter (IMMLI) with reduced component count which is suitable for low, medium and high voltage renewable energy systems. The proposed inverter is a resultant structure of a number of integrated module and each module is configured with a number of series connected basic blocks. Each block consists of a dc voltage source, a blocking diode and a semiconductor switch. A computational combination and summation among the dc sources from different blocks results in a high number of levels within the output voltage. This task is performed by controlling the switches equipping appropriate switching algorithm. Thus, a high level of output is obtained employing reduced number of components. Since the topology owns two degree of modularity, the total stress voltage (TSV) of the system is low and distributed among the switches. Hence, the proposed topology allows to be implemented in high power systems with reduced amount of costs. The inverter also offers enhanced efficiency, as the number of simultaneously conducting switch is low. Additionally, in order to operate the presented inverter with optimum ac power quality, a multi-carrier based level shifted PWM scheme is addressed in this paper. This paper also shows how to prepare balanced dc sources that are required to implement the inverter using high-frequency magnetic-link. The operating principle of the IMMLI is explained with the help of a fifteen level (15-L) single phase unit and its performance is evaluated in MATLAB/Simulink considering different conditions. Experimental validation is also presented to support the simulation results and to evaluate its superiority over the existing.

Image encryption is a very common and attractive issue in digital image processing. Here, a combination of genetic algorithm and particle swarm optimization with a chaotic function model is proposed for image encryption. This paper uses the genetic algorithm for the enhanced encryption of pixel value and particle swarm optimization for improving the optimization process. The proposed method is divided into two parts. In the first stage, the plain RGB image is used for the initial population and then the genetic algorithm is applied to encrypt the image. In the next stage, the particle swarm optimization algorithm is applied for deciding the best-encrypted image. Next, the best image is re-encrypted until the best value is found. The double-point crossover is used for encryption. On the other hand, entropy is used as a fitness function for analyzing the fitness value. The obtained average entropy of the image is approximately 7.999, which is very close to the ideal value of entropy.

•Resistant starch (RS) extracted from peeled green bananas exhibited higher purity compared to that obtained from unpeeled green bananas.•Scanning electron micrograph (SEM) showed elongated and rounded shapes particles with smooth surfaces.•B-type crystals of extracted RS was confirmed by X-ray diffraction.•Peeled banana RS exhibited excellent functional and antioxidant properties.•Peeled banana RS is more suitable than unpeeled banana RS for health-promoting food products formulation.

•Instant noodles was developed using BARI green banana-2 starch.•Significant amount of health beneficial resistant starch were found in prepared noodles.•Incorporation of RS from banana were improved the cooking properties of instant noodles.•Overall acceptance of banana starch instant noodles was at the moderate level.

ABSTRACTIn this research, the hypereutectic Al–20Si alloy, containing an optimised amount of 4 wt-% γ-Al2O3and 0.1 wt-% strontium, was successfully synthesised through the suction casting process. The cooling rate (563 K s−1) involved during solidification was estimated by measuring secondary dendritic arm spacing. As a result, a significant change in the morphology of silicon was observed and also led to the formation of a small fraction of refined α-Al throughout the microstructure. The work demonstrates that high tensile properties in hypereutectic Al–20Si alloys can be achieved without the use of conventional inoculants (such as phosphorus). The suction cast Al–20Si alloy exhibits remarkably enhanced tensile properties of average ultimate tensile strength of 355 MPa and average ductility of 7.1%.

Carbon Capture and Storage (CCS) is a key element to achieving net‐zero energy challenge timely. CCS operations require the integration of geophysical data, such as seismic and electromagnetic surveys, numerical reservoir models and fluid flow simulations. However, the 10–100s m resolution of seismic imaging methods complicates the mapping of smaller scale rock heterogeneities, while borehole measurements commonly show large fluctuations at sub‐cm scales. In this study, we combine laboratory data, well‐logging, rock physics theories and a proof‐of‐concept time‐lapse seismic modeling to assess the effect of pore‐scale fluid distribution and petrophysical heterogeneities on the expected performance of whole‐reservoir CCS operations in deep saline aquifers, by analogy to the Aurora CCS site, North Sea. We monitored the elastic and electrical properties of three sandstone samples with slightly different physical and petrographic properties during carbon dioxide (CO2) flow‐through tests under equivalent in situ effective pressure. We inferred the CO2‐induced damage in the rocks from the variations of their hydromechanical properties. We found that the clay fraction, CO2‐clay chemical interactions, and porosity were the main factors affecting both the CO2distribution in the samples and the hydromechanical response. We used seismic modeling of well‐log data and the laboratory results to estimate the reservoir‐scale time‐lapse seismic response to CO2injection and to assess the effect of the rock heterogeneities in our interpretation. The results show that disregarding the effect of rock heterogeneities on the CO2‐brine fluids distribution can lead to significant misinterpretations of seismic monitoring surveys during CCS operations in terms of both CO2quantification and distribution. Excess of carbon dioxide (CO2) in the atmosphere is causing global warming. The most realistic long‐term and large‐scale mitigation technology is Carbon Capture (Utilization) and Storage (CC(U)S). The CO2is captured from the main sources of emissions and injected into deep geological formation for its permanent disposal. Offshore saline aquifers formed by siliciclastic reservoir rocks (sandstones) appear as suitable emplacements due to large storage capacity, pore connectivity and low CO2‐fluid‐rock chemical reactivity. The main challenge for CCS is to ensure CO2 remains contained in the subsurface storage volume. Seismic and electromagnetic sources are the most widely used geophysical remote sensing tools in reservoir exploration, and in the last couple of decades also for CO2plume monitoring. However, reservoir rocks are not homogeneous bodies, and heterogeneities can largely affect our geophysical interpretation of CCS reservoirs. In this contribution we assess how the geophysical responses of rock samples associated with their hydromechanical changes during CO2injection might vary as a result of small differences in porosity, shale fraction and clay content between them. Porosity, grain size and clay minerals affect carbon dioxide (CO2) distribution in sandstones differentlyCO2‐induced P‐wave attenuation varies inversely with the clay content4D seismic model shows large scale misinterpretations of CO2quantification if disregarding reservoir heterogeneities Porosity, grain size and clay minerals affect carbon dioxide (CO2) distribution in sandstones differently CO2‐induced P‐wave attenuation varies inversely with the clay content 4D seismic model shows large scale misinterpretations of CO2quantification if disregarding reservoir heterogeneities

Like their host cells, many viruses express noncoding RNAs (ncRNAs). Despite the technical challenge of ascribing function to ncRNAs, diverse biological roles for virally expressed ncRNAs have been described, including regulation of viral replication, modulation of host gene expression, host immune evasion, cellular survival, and cellular transformation. Insights into conserved interactions between viral ncRNAs and host cell machinery frequently lead to novel findings concerning host cell biology. In this review, we discuss the functions and biogenesis of ncRNAs produced by animal viruses. Specifically, we describe noncanonical pathways of microRNA (miRNA) biogenesis and novel mechanisms used by viruses to manipulate miRNA and messenger RNA stability. We also highlight recent advances in understanding the function of viral long ncRNAs and circular RNAs.

Type III interferon (IFNs) encoded by IFN lambda (IFNL) genes induce antiviral activity. The IFNLclusters include IFNL1/IL29, IFNL2/IL28A, IFNL3/IL28Band IFNL4genes. The single nucleotide polymorphisms (SNPs, rs12979860 and rs8099917) associated with virological responses against hepatitis C virus (HCV) infections are recently mapped to IFNL4gene. The IFNLgene polymorphisms also plays role in immune clearance, inflammation and risk of developing hepatocellular carcinoma. There is significant genetic heterogeneity of IFNL4polymorphisms among ethnic populations that need to be regionally studied for viral infection, treatment response and relapse. The IFNL4risk allele, genotype and haplotype frequencies across north Indian cohort were determined among chronic hepatitis C (CHC) cases (n = 141) and healthy controls (n = 111) by allele specific real-time PCR. Odds ratio was calculated for HCV exposure and treatment response using dominant and minor allele/genotype as reference. Non-random associations of these two SNP loci were evaluated by linkage disequilibrium plot. The minor allele (T) frequency of rs12979860C/T is 0.241 and 0.229; and minor allele (G) frequency for SNP rs8099917T/G is 0.174 and 0.171 among CHC cases and healthy control respectively. Coefficient of linkage disequilibrium (D′) of these two SNPs is very high (D′ = 0.98, r2> 0.6) in CHC group than in healthy control (D′ = 0.76, r2= 0.39) which indicate that both SNPs are strongly linked in CHC population than healthy control. Favorable association of IFNL4haplotype (C–T), genotype (CC for rs12979860 and TT for rs8099917) with anti HCV therapy were found significant (p= 0.009, 0.021 and 0.001) for SVR. Favorable genotypes are also found to be predominant across the Indian study population.

Integrated Collector Storage Solar Water Heaters (ICSSWHs) can support growing hot water demands of off-grid populations and reduce harm to human health and the environment. Despite their simple design and fewer associated components, stored thermal energy dissipates easily in foul weather. While thermal diodes are beneficial heat retention enhancement features in ICSSWHs, other simple additional strategies can enhance heat retention without significantly complicating the fabrication process. This article examines techniques of differing levels of complexity for the improvement of heat retention of a basic thermal diode ICSSWH. A basic thermal diode ICSSWH is adapted into a scalable Asymmetric Formed Reflector with Integrated Collector and Storage (AFRICaS) system and tested for heat retention performance along with other thermal insulation measures. The AFRICaS system improves heat retention efficiency and reduces heat loss coefficient to at least 35% and 1.46 W/K respectively. These results contrast with a heat retention efficiency and heat loss coefficient of 20% and 2.25 W/K respectively for a basic thermal diode ICSSWH. The AFRICaS prototype is potential launchpad for sustainable solar energy cogeneration.

Family relationships influence eating behavior and health outcomes (e.g., obesity). Because eating is often habitual (i.e., automatically driven by external cues), unconscious behavioral mimicry may be a key interpersonal influence mechanism for eating within families. This pilot study extends existing literature on eating mimicry by examining whether multiple family members mimicked each other's bites during natural meals. Thirty-three participants from 10 families were videotaped while eating an unstructured family meal in a kitchen lab setting. Videotapes were coded for participants' bite occurrences and times. We tested whether the likelihood of a participant taking a bite increased when s/he was externally cued by a family eating partner who had recently taken a bite (i.e., bite mimicry). A paired-sample t-test indicated that participants had a significantly faster eating rate within the 5 s following a bite by their eating partner, compared to their bite rate at other times (t = 7.32, p < .0001). Nonparametric permutation testing identified five of 78 dyads in which there was significant evidence of eating mimicry; and 19 of 78 dyads that had p values < .1. This pilot study provides preliminary evidence that suggests eating mimicry may occur among a subset of family members, and that there may be types of family ties more prone to this type of interpersonal influence during meals.

The technology of surface plasmon resonance (SPR) is widely recognized and valued for its ability to rapidly and sensitively investigate biomolecular interactivities in real-time. Herein, we numerically investigate the collective influence of metal/ transition metal dichalcogenide (TMDC)/halide perovskite (HP)/2D carbon (C) and phosphorus (P) allotropes on the functionality of an SPR biosensor deploying Kretschmann configuration. The incident light wavelength is held constant at 633 nm, and radiative properties of the hybrid structure are determined using the attenuated total reflection and transfer matrix techniques. Crucial performance metrics such as quality factor (QF), figure of merit (FoM), sensitivity, and detection accuracy are calculated. The comparison is conducted and evaluated against the current literature using performance outcomes in terms of several prisms such as BK7, BAK1, BAF10, SF5, SF10, SF11, 2S2G, CaF2, and CsF, several TMDCs such as WS2, MoS2, WSe2, MoSe2, and PtSe2, several HPs such as CsPbI3, KSnI3, CsSnI3, and FASnI3, and 2D C/P allotropes such as Graphene, MXene, Black phosphorene (BP), and Blue phosphorene (BlueP) in order to search optimum parameters, and then we implement the best one in each layer of this biosensor design. It is noticed that the SPR heterostructure based on BAK1 prism, plasmonic metal Ag, tungsten disulfide (WS2) TMDC, formamidinium tin iodide (FASnI3) HP and 2D BP exhibits outstanding performance with regard to sensor performance characteristics. The observed FoM and sensitivity are 48.2/RIU and 402°/RIU, respectively. The investigation of the electric field distribution within this biosensor along the normal to the interface is also conducted using the finite difference time domain (FDTD) approach to demonstrate the unique contribution of FASnI3. The findings presented in this study are anticipated to play a key role in the improvement of plasmonic resonance-based biosensing domains like DNA hybridization or formalin detection by employing halide perovskite as an additional layer in SPR biosensors.

The heat shock protein 90 (Hsp90) is a molecular chaperone, which plays a key role in eukaryotic protein homeostasis. Co-chaperones assist Hsp90 in client maturation and in regulating essential cellular processes such as cell survival, signal transduction, gene regulation, hormone signaling, and neurodegeneration. Aha1 (activator of Hsp90 ATPase) is a unique co-chaperone known to stimulate the ATP hydrolysis of Hsp90, but the mechanism of their interaction is still unclear. In this report, we show that one or two Aha1 molecules can bind to one Hsp90 dimer and that the binding stoichiometry affects Hsp90’s conformation, kinetics, ATPase activity, and stability. In particular, a coordination of two Aha1 molecules can be seen in stimulating the ATPase activity of Hsp90 and the unfolding of the middle domain, whereas the conformational equilibrium and kinetics are hardly affected by the stoichiometry of bound Aha1. Altogether, we show a regulation mechanism through the stoichiometry of Aha1 going far beyond a regulation of Hsp90’s conformation.

Cancer impacts the person’s physical health, psychosocial and spiritual wellbeing. The humanization of care is an essential element to achieve integral wellbeing of the individual. The aim of this article is to present a clinical case, using the nursing process with the NANDA, NOC and NIC taxonomies, and based on the principles of Watson’s theory of humanized care. The participant is a 45-year-old woman with gastric cancer in palliative stage. The assessment was performed using Gordon’s functional patterns and the Watson Caritas Patient Score scale to evaluate the care received previously in the health system. Eight nursing diagnoses were identified, prioritizing 3 diagnoses using the clinical reasoning web (decisional conflict, anxiety, and ineffective self-management of health). Expected outcomes and nursing interventions were planned and implemented through moments of care using health education through tele-nursing and the intentional use of Caritas processes of care in the transpersonal relationship. The results were evaluated with the scales of the indicators and anxiety was also evaluated with the Beck Anxiety Inventory. Health education in oncology nursing contributed to improve informed decision making, reducing anxiety and providing emotional support to facilitate self-management of health. The participant perceived as humanized care throughout the sessions, reflected in the final evaluation with the Watson Caritas Patient Score scale.

El cáncer afecta la salud física, el bienestar psicosocial, espiritual de la persona. La humanización del cuidado es un elemento esencial para lograr el bienestar integral del individuo. El propósito de este artículo es exponer un caso clínico, abordado por medio de un proceso de enfermería, usando las taxonomías NANDA, NOC y NIC, y basado en los principios de la teoría del cuidado humanizado de Watson. La participante es una mujer de 45 años con cáncer gástrico en etapa paliativa. La valoración se realizó utilizando los patrones funcionales de Gordon y la escala Watson Caritas Patient Score para evaluar el cuidado recibido con anterioridad en el sistema de salud. Se identificaron 8 diagnósticos de enfermería, priorizando 3 diagnósticos mediante la red de razonamiento lógico (Conflicto de Decisiones, Ansiedad y Autogestión ineficaz de la salud). Se planificaron resultados esperados e intervenciones de enfermería, implementadas mediante momentos de cuidado utilizando la educación en salud través de la tele-enfermería y el uso intencional de los procesos cáritas de cuidado en la relación transpersonal. Los resultados se evaluaron con las escalas de los indicadores y la ansiedad también con el Inventario de Ansiedad de Beck. La educación en salud en el área de la enfermería oncológica contribuyó a mejorar la toma de decisiones informadas, reduciendo la ansiedad y proporcionando apoyo emocional para facilitar la autogestión de la salud. La participante percibió el cuidado como humanizado a lo largo de las sesiones, reflejándose en la evaluación final con la escala Watson Caritas Patient Score.

Pollution from microplastics (MPs) is recognized as a significant new global change factor that may have an impact on ecosystem services and functions. Although it is known that soil ecosystems, especially agricultural land, are a significant source of MPs, little is known about the effects of MPs on soil ecosystems, such as those above and below ground. Microplastics assemble in the soil environment, which also acts as a significant secondary source of MPs in other environmental media. To evaluate the effects of MP contamination on arable land, residential land areas (due to primary and secondary MPs), and the development and reproduction of soil fauna, we performed a global analysis in this study. This study sought to determine whether MP contamination exists in soil and how it influences the physical, chemical, and biological properties of the soil. To examine the causes, impacts, mitigation, and global perspective of MP pollution of soil, several research databases about its identification, occurrences, and consequences were combed for pertinent data and citations. The academic literature was located using search engines such as Google Scholar, Springer Link, Elsevier, and Frontiers. Through this study, it is possible to evaluate how these qualities, MPs in landfill leachate, and the route of contamination from primary and secondary MPs to the soil affect soil toxicity and its consequential effects on physical, chemical, and biological properties as well as living organisms. This work also addresses the laws, rules, and numerous state-of-the-art treatment strategies for reducing the consequences of MPs. Significant gaps in knowledge require further thorough research.

la diabetes mellitus y los trastornos del estado de ánimo son 2 entidades que se entrelazan entre sí con mecanismos fisiopatológicos en común. Los hipoglucemiantes orales son un pilar fundamental para obtener el control glucémico en los individuos diabéticos y, recientemente, la alta prevalencia de estas 2 patologías en un mismo paciente han hecho que los estudios clínicos se enfoquen en analizar el efecto de los hipoglucemiantes orales en los pacientes con diabetes mellitus tipo 2 y trastorno depresivo.

Energy storage is one of the challenging technical issues for the society to the transition to renewable energy. Effective energy storage devices are typically added to balance supply and demand to facilitate this firming of renewable energy. Supercapacitor will be a great choice for energy storage as well as electrochemical phenomena for its high-power density and stable retention rate with a wide range of cycling numbers. Carbon nanotube (CNT) and metal-based composites has some unique properties which are distinguishable from others, for instance, the superior electrochemical interaction of the metal oxides with the CNTs, the establishment of a highly porous 3-dimensional framework through CNT entanglement, that further allows the rapid and efficient movement of ions to the productive surfaces of the elements of the nanocomposite, and the elevated strength of CNT@metal oxides. This review discusses how the electrochemical performance in terms of specific capacitance (SPc), energy density, power density, and the number of cycle capacitance retention changes after introducing different kinds of metal oxide with CNTs. However, nanocomposites with different materials have demonstrated high power density but low energy density known as pseudocapacitance behavior. Therefore, present challenges and prospects and where upcoming research has to be focused are discussed here.

Senna occidentalis, synonym Cassia occidentalis, is a native American pantropical plant species previously classified under the genus Cassia. This study is for testing and to discover new potent phytochemicals from this plant as wound healing and anti-inflammatory agents. The Excision and Assay of Red Blood Cell (RBC) Membrane Stabilization for Anti-Inflammatory Activity Test Method was used to test how well extracts of S. occidentalisleaves from methanol, n-hexane, chloroform, and absolute alcohol helped wounds heal and stopped inflammation. In silico is another methodfor finding potent phytochemicals for both activities. These leaf extracts effectively cure wound areas and promote re-epithelialization. The methanol extract exhibited maximum wound healing (95.04%) and anti-inflammation (62.94%) activity compared to their other extracts, standard, and control groups. In silico molecular docking of Apigenin, Aloe-emodin with GSK-3B protein, and 1-Methoxynaphthalene, Quinine with COX-2 protein showed binding affinity in (kjJ/mol)of −8.4, −8.6, and −7.3, −7.7, for wound healing and anti-inflammatory activity, respectively, in their binding sites with stability. They support the "Lipinski Rule of Five."This plant leaf extract is recommended as a traditional medicine and an alternative, complementary treatment for its continued contribution to drug discovery and development.

Plant growth-promoting bacteria that are also capable of suppressing plant pathogenic fungi play an important role in sustainable agriculture. There is a critical need for conducting research to discover, characterize and evaluate the efficacy of new strains of such bacteria in controlling highly aggressive plant pathogens. In this study, we isolated endophytic bacteria from medicinal plants of Bangladesh and evaluated their antagonistic capacity against an important phytopathogenic fungus Sclerotinia sclerotiorum. Growth-promoting effects of those isolates on cucumber and rice seedlings were also assessed. Among 16 morphologically distinct isolates, BDR-2, BRtL-2 and BCL-1 significantly inhibited the growth of S. sclerotiorumthrough induction of characteristic morphological alterations in hyphae and reduction of mycelial dry weight. When cucumber and rice seeds were treated with these endophytic bacteria, seven isolates (BCL-1, BDL-1, BRtL-2, BRtL-3, BDR-1, BDR-2 and BBoS-1) enhanced seed germination, seedling vigor, seedling growth and number of roots per plant at a varying level compared to untreated controls. All isolates produced high levels of indole-3-acetic acid (6 to 63 μg/mL) in vitro. Two most potential isolates, BDR-2 and BRtL-2, were identified as Bacillus amyloliquefaciensand B. subtilis, respectively, based on the 16S rRNA gene sequencing. These results suggest that endophytic Bacillusspecies from native medicinal plants have great potential for being used as natural plant growth promoter and biopesticides in sustainable crop production.

This piece* has been put together by drawing from Red Light Despatch(RLD), a monthly newsletter brought out by Indian anti-sex trafficking organization Apne Aap Women Worldwide. RLD is for the women ofthe red-light area bythe women of the red-light area. Women, girls and men trapped in prostitution from the red-light areas of Bihar, Delhi, Maharashtra, Rajasthan, and West Bengal write the Despatch. They write for each other and share information, dreams, struggles and hopes in solidarity from different corners of India. They try to address the gaps in mainstream media that often do not cover information that is relevant to the poor and the marginalized. RLD also serves as a mouthpiece for prostituted women and survivors to end sex trafficking. The narratives in RLD reveal that prostitution is a form of violence against women and the only way to end it is by internalizing the Gandhian principles of ahimsa(non-violence) and antyodaya(uplift of the last). The narratives speak of how the prostituted child and woman is always originally trafficked and that she is the victim of structural violence as a female, as a person from the countryside, as a person from a scheduled caste/scheduled tribe or other backward classes and of unequal and lopsided development; and how difficult it is to exit prostitution.

ABSTRACTThe paper presents the experimental performance evaluation of a novel retrofit heat exchanger (‘SolaPlug’) developed for solar hot water storage applications. The performance of this system was compared with a traditional dual-coil (‘Coil’) solar cylinder under controlled operating conditions. The tests were conducted under different solar-simulated conditions with a 30 and 20 evacuated tube collector. The results showed that after a 6-h test period, the average water temperatures within the store for the ‘SolaPlug’ system were 58.8°C and 40.5°C at 860 and 459 W m−2, respectively, and for the ‘Coil’ system were 60.5°C and 40.6°C when a 30 tube collector was used. The performance of the ‘SolaPlug’ system was marginally better than the ‘Coil’ system under the low solar input condition. Under high insolation condition, the overall ‘SolaPlug’ system efficiency was found to be 4.3% lower than that of the ‘Coil’ system. The ‘SolaPlug’ heat exchanger rating was 222 W K−1.

•Empirical and numerical investigation of a solar-powered air-conditioning bed unit.•COP declined by 13.6 as condensation temperature rose from 37 to 52 °C.•The experimental COP of the unit utilising R290 was 2.42% higher than R134a.•Replacing R290 over R134a improves the exergetic efficiency by 2.37%.•Propane (R290) is a potential drop-in alternative for R134a as a natural refrigerant.

The endophytic fungus Curvulariasp., strain M12, was isolated from a leaf of the medicinal plant Murraya koenigiiand cultured on rice medium followed by chemical screening of the culture extract. Chromatographic analysis led to the isolation of four new compounds, murranofuran A (1), murranolide A (2), murranopyrone (3a), and murranoic acid A (4a), along with six known metabolites, N-(2-hydroxy-6-methoxyphenyl)acetamide (5), curvularin (6), (S)-dehydrocurvularin (7), pyrenolide A (8), modiolide A (9), and 8-hydroxy-6-methoxy-3-methylisocoumarin (10). The structures of the known compounds were confirmed by comparing ESI HR mass spectra, 1H and 13C NMR, and optical rotation data with values reported in the literature. The planar structures of the new compounds were elucidated by extensive analysis of 1D and 2D NMR and mass data. The absolute configurations of the new compounds were established by coupling constant analysis, modified Mosher’s method, and CD data. Compound 8showed a strong motility impairing activity against Phytophthora capsicizoospores at a low concentration (100% at 0.5 μg/mL) in a short time (30 min). Compounds 2, 3a, 6, 7, 9, and 10exhibited zoospore motility impairment activity at higher concentrations (IC50: 50–100 μg/mL).

In this study, a dynamic cost model was constructed to compare the Levelised Costs of Electricity (LCOE) for advanced Combined Cycle Gas Turbine (CCGT) technology in comparison to traditional CCGT technology. The key technical and economic factors that affected the competitiveness of these CCGT units were evaluated. The results showed that advanced H-class CCGT technology has the lowest LCOE for the base case scenario at 4.93UScents/kWh versus 5.32 and 5.71UScents/kWh for F- and E-class technologies respectively. It is evident that the more advanced CCGT technology matches the major market drivers for the United Arab Emirates (UAE) energy transition, namely; competitive lifecycle costs, high thermal efficiencies which reduce fuel costs and limit CO2emissions and a high operational flexibility. The LCOE model outputs summarise the overall financial competitiveness of the different CCGT technologies for the UAE up to the year 2030 considering the future power generation demand profile. There are no H-class gas turbines installed in the UAE and this was one of the drivers behind this paper to show the benefits of the latest advanced CCGT technology. The study conveniently facilitates future discussions on the opportunities and challenges of the UAE’s energy transition for developers, electricity suppliers and national policy makers.