Exploring the catalytic potential of watermelon urease: Purification, biochemical characterization, and heavy metal precipitation.

Bioactive urease from watermelon (Citrullus lanatus) seeds was purified using acetone fractionation, anion-exchange, and size-exclusion chromatography, achieving a 121-fold increase and specific activity of 3216 U/mg. The enzyme appeared as a single band on native and SDS-PAGE, with a molecular mass of 480 ± 10 kDa and subunit mass of 80 ± 10 kDa, indicating six identical subunits. Atomic absorption spectroscopy revealed 1.46 nickel ions per subunit. Watermelon urease exhibited serological similarities with jack bean and pigeon pea ureases, an optimal pH of 7.3, an activation energy of 3 kcal/mol, Vmax of 3571 µmol/min/mg, and Km of 0.16 mM. The enzyme displayed biphasic thermal and pH inactivation kinetics, a strong preference for urea, and a half-life of 70 days with 1 mM DTT. This study highlights watermelon urease's role in bioremediation by facilitating the precipitation of heavy metals as stable carbonates, promoting environmental sustainability.

Optimization of vine killing date for maximum seed-tuber yield and minimum exposure to late-season aphid vectors in potato.

Short-duration and early-bulking potato varieties are well-suited for commercial cultivation in the subtropical Indo-Gangetic plains of India. To maximize seed tuber yield, prevent late-season exposure to aphid vectors, and facilitate the timely planting of wheat crops during the rabi season, it is essential to cut the haulms (vines) of seed potatoes at the earliest possible time. A study was conducted to standardize the optimal vine-killing date for two popular potato varieties in the north-western plains of India, Kufri Pukhraj and Kufri Jyoti, by examining variations in seed yield across different vine-killing dates and assessing the incidence of aphid vectors transmitting potato viruses. Tubers were planted on 15 October for two consecutive seasons, and haulms were cut at 70, 80, and 90 days after planting (DAP), with continuous monitoring of aphid populations. Results showed that total tuber yield and tuber numbers increased with delayed vine-killing. Similarly, the yield and number of oversized tubers significantly rose as the vine-killing date was extended. However, seed-size and undersized tuber yields were largely unaffected, while the number of undersized tubers decreased between 70 and 90 DAP. Further, the gain in total tuber yield and yield of over-sized tubers occurred mainly during 70-80 DAP for Kufri Pukhraj in contrast to Kufri Jyoti where maximum increase occurred between 80 and 90 DAP. Therefore, it is concluded that the optimum time of vine killing for maximum seed tuber yield is directly linked to the tuber growth cycle of individual variety. The period of maximum incidence of aphid vectors varied between the two years. Based on the incidence of Myzus persicae, the seed crops in north-western plains of India should not be extended beyond last week of December although real time monitoring of the aphid incidence is recommended.

Design, Synthesis, and In Vitro Cytotoxic Studies of Some Novel Arylidene-Hydrazinyl-Thiazoles as Anticancer and Apoptosis-Inducing Agents.

Cancer, defined by uncontrolled cell growth, poses a significant global health challenge, necessitating the development of new anticancer drugs crucial to address drug resistance, side effects, and the need for combination therapies. The study presents the design, synthesis, and anticancer screening of a series of novel functionalized arylidene-hydrazinyl-thiazoles against various human cancer cell lines. The environmentally benign synthetic protocol involves the visible-light prompted, NBS-mediated domino reaction of thiosemicarbazide, heteroaryl aldehydes, and unsymmetrical 1,3-diketones. The regioselective organic transformation delivered the single regioisomeric product, characterized unambiguously through detailed 2D NMR spectral studies. In vitro cytotoxic studies revealed that the synthesized derivatives exhibited excellent cytotoxic potential against BxPC-3, MOLT-4, and MCF-7 cancer cell lines. Notably, compounds 4m, 4n, and 4r showed significant cytotoxicity, reducing cell survival to 23.85-26.45% for BxPC-3, 30.08-33.30% for MOLT-4, and 44.40-47.63% for MCF-7 at a concentration of 10 µM. These compounds profoundly induced apoptosis, evidenced by increased caspase-3/7 activity, loss of mitochondrial membrane potential, and modulation of Bcl2 and Bax gene expression. Additionally, these compounds caused robust cell cycle arrest at the G2/M phase by inhibiting tubulin polymerization, indicating their multifaceted impact on cancer cells.

Watermelon Derived Urease Immobilized Gold Nanoparticles-Graphene Oxide Transducer for Direct Detection of Urea in Milk Samples.

Urea contamination in milk poses significant health risks, including kidney failure, urinary tract obstruction, fluid loss, shock, and gastrointestinal bleeding. This highlights the need for sensitive, rapid, and reliable methods to detect traces amount of urea in milk. In this study, we designed an electrochemical transducer for urea detection by utilizing purified watermelon urease (Urs), gold nanoparticles (AuNPs), and graphene oxide (GO). The nanomaterials and biosensor probe were characterized using UV-vis spectroscopy, XPS, TEM, XRD, FTIR, AFM, CV, EIS, and DPV. The engineered probe (GCE/AuNPs/GO/Urs) demonstrated a broad linear detection range of 5 to 90 mg/dL and a low limit of detection (LOD) of 0.037 (±0.012) mg/dL (RSD < 3.7%). The biosensor was tested for potential interferents that may be present in adulterated milk and an exceptionally low coefficient of selectivity (ksel <0.1) was obtained. Evaluation of milk samples from a local dairy farm showed good recovery rates from 93.13% to. 98.79% (RSD < 4.28%, n = 3), indicating reliable detection capabilities. Stability tests confirmed the sensor's reproducibility and consistent performance. Additionally, a comparison study of the system was carried out using the purified watermelon urease and the commercially available urease. Herein, the results obtained using the sensor probe was finally validated with the gold standard method.

Mapping of on-field soil nutrient variabilities as a guiding force for smart farming: a case study from FarmerZone sentinel-1 from three potato agroecological zones of India.

Mapping of soil nutrient parameters using experimental measurements and geostatistical approaches to assist site-specific fertiliser advisories is anticipated to play a significant role in Smart Agriculture. FarmerZone is a cloud service envisioned by the Department of Biotechnology, Government of India, to provide advisories to assist smallholder farmers in India in enhancing their overall farm production. As a part of the project, we evaluated the soil spatial variability of three potato agroecological zones in India and provided soil health cards along with field-specific fertiliser recommendations for potato cultivation to farmers. Specifically, 705 surface samples were collected from three representative potato-growing districts of Indian states (Meerut, UP; Jalandhar, Punjab and Lahaul and Spiti, HP) and analysed for soil parameters such as organic carbon, macronutrients (NPK), micronutrients (Zn, Fe, Mn, and Cu), pH, and EC. The soil parameters were integrated into a geodatabase and subjected to kriging interpolation to create spatial soil maps of the targeted potato agroecological zones through best-fit experimental semivariograms. The spatial distribution showed a deficiency of soil organic carbon in two studied zones and available nitrogen among all studied zones. The available phosphorus and potassium varied among the agroecological zones. The micronutrient levels were largely sufficient in all the zones except at a few specific sites where nutrient advisories are recommended to replenish. The general management strategies were recommended based on the nutrient status in the studied area. This study clearly supports the significance of site-specific soil analytics and interpolated spatial soil mapping over any targeted agroecological zones as a promising strategy to deliver reliable advisories of fertiliser recommendations for smart farming.

Anomaly detection technique for securing microgrid against false data attacks.

The development of microgrid automation depends on information and communication technologies, which are vulnerable to cyber-attacks. Recent advancements in MGs enhance power systems' efficacy and reliability, but cybersecurity remains a significant concern, especially with false data injection attacks (FDIAs) posing serious threats. FDIAs can compromise measurement devices and tamper with State Estimation (SE), risking the seamless operation of MGs. To address this, this paper proposes an efficient Iterative Free Detection of False Data (IFDFD) scheme for detecting FDIAs in microgrid state estimation. The IFDFD scheme uses complex Micro Phasor Measurement Unit (µPMU) measurements and computes nodal power injections to detect FDIAs. Furthermore, the proposed scheme integrates an S-Estimator to eliminate noise errors caused by environmental factors and the component lifespan, making IFDFD robust against sophisticated attackers. The proposed IFDFD scheme has been tested and validated on the modified IEEE 14 bus test system, integrating Distributed Generations (DGs). False data was injected into the measurements to test the scheme's effectiveness. The efficacy of proposed IFDFD scheme has been validated by comparing it to existing method of FDIAs. The obtained result clearly validates the efficacy of the proposed IFDFD scheme.

Identification, management and pecuniary impact of major carbon footprint contributor in potato production system of north-west India.

Assessment of carbon footprint of a crop is an important component of sustainable crop production, as it helps in framing effectual and viable crop management strategies to minimize ecosystem tampering. Thus, in present investigation carbon footprint of potato production system in different agro-climatic zones viz. undulating plain zone, central plain zone and western plain zone of North-west India were estimated, and compared with the recommended practices of these zones. The carbon footprint was higher in undulating plain zone followed by central plain zone and western plain zone with values being 343, 296 and 220 kg CO2 eq./t tuber yield (TY), sequentially, whereas same were 198 kg CO2 eq./t tuber yield (TY) in case of recommended practices. The social cost of carbon (SCC), that represents economic damage from the CO2 emissions, was also estimated. The integrated net economic balance (net return from yield - SCC) was also better in case of recommended practices. The major sources of emission from potato production system were fertilizer (NPK) application (42 %), irrigation (20 %), seed (14 %), fertilizer production (13 %) and energy use (excluding Irrigation) (5 %). Top most in the list of carbon footprint contributors was fertilizer application which was due to imbalanced application of these, and for getting the clear picture of this imbalance as well as its impact, a new and exclusive index- Relative Imbalance Fertilization Index (RIFIcf) was developed and tested. Carbon footprints were also related to tuber yield and an empirical model was developed that can be used to predict tuber yield on the basis of carbon footprint of potato production system. An increase in tuber yield with increasing carbon footprint was noticed, which became somewhat static at higher emissions. The findings of this investigation provide a clear picture of quantitative GHG emissions due to imbalanced inputs that can be plummeted to some extent if already existing recommendations are followed.

Enhancing milk quality assessment with watermelon (Citrullus lanatus) urease immobilized on VS2-chitosan nanocomposite beads using response surface methodology.

An eco-friendly hydrothermal method synthesized VS2 nanosheets. Several spectroscopic and microscopic approaches (TEM) were used to characterize the produced VS2 nanosheet microstructure. VS2, Chitosan, and nanocomposite were used to immobilize watermelon (Citrullus lanatus) urease. Optimization using the Response Surface Methodology and the Box-Behnken design yielded immobilization efficiencies of 65.23 %, 72.52 %, and 87.68 % for chitosan, VS2, and nanocomposite, respectively. The analysis of variance confirmed the mathematical model's validity, enabling additional research. AFM, SEM, FTIR, Fluorescence microscopy, and Cary Eclipse Fluorescence Spectrometer showed urease conjugation to the matrix. During and after immobilization, FTIR spectra showed a dynamic connectivity of chemical processes and bonding. The nanocomposite outperformed VS2 and chitosan in pH and temperature. Chitosan and VS2-immobilized urease were more thermally stable than soluble urease, but the nanocomposite-urease system was even more resilient. The nanocomposite retained 60 % of its residual activity after three months of storage. It retains 91.8 % of its initial activity after 12 reuse cycles. Nanocomposite-immobilized urease measured milk urea at 23.62 mg/dl. This result was compared favorably to the gold standard p-dimethylaminobenzaldehyde spectrophotometric result of 20 mg/dl. The linear range is 5 to 70 mg/dl, with a LOD of 1.07 (±0.05) mg/dl and SD of less than 5 %. The nanocomposite's ksel coefficient for interferents was exceptionally low (ksel < 0.07), indicating urea detection sensitivity. Watermelon urease is suitable for dairy sector applications due to its availability, immobilization on nanocomposite, and reuse.

A perspective on varied fungal virulence factors causing infection in host plants.

Pathogenic fungi and their spores are ubiquitously present and invade the tissues of higher living plants causing pathogenesis and inevitably death or retarded growth. A group of fungi kills its hosts and consume the dead tissues (necrotrophs), while others feed on living tissue (biotrophs) or combination of two (hemibiotrophs). A number of virulent factors is used by fungal pathogens to inhabit new hosts and cause illness. Fungal pathogens develop specialized structures for complete invasion into plant organs to regulate pathogenic growth. Virulence factors like effectors, mycotoxins, cell wall degrading enzymes and organic acids have varied roles depending on the infection strategy and assist the pathogens to possess control on living tissues of the plants. Infection strategies employed by fungi generally masks the plant defense mechanism, however necrotrophs are best known to harm plant tissues with their poisonous secretion. Interestingly, the effector chemicals released by Biotrophs reduce plant cell growth and regulate plant metabolism in their advantage causing no direct death. All these virulence tools cause huge loss to the agricultural product of pre- harvest crops and post-harvest yields causing low output leading to huge economic losses. This review focusses on comprehensive study of range of virulence factors of the pathogenic fungi responsible for their invasion inside the healthy tissues of plants. The compiled information would influence researchers to design antidote against all virulence factors of fungi relevant to their area of research which could pave way for protection against plant pathogenesis.

Concomitant transthyretin cardiac amyloidosis in patients undergoing TAVR for aortic stenosis: A systemic review and meta-analysis.

OBJECTIVE: Transcatheter aortic valve replacement (TAVR) is a successful treatment for aortic stenosis (AS) patients, and previous studies indicate favorable outcomes for those with concomitant aortic stenosis and transthyretin-associated cardiac amyloidosis (TTRCA-AS). However, the impact of TAVR on more adverse outcomes in TTRCA-AS patients compared to those with AS alone is still uncertain, with conflicting findings reported in the literature. METHODS: PubMed and Scopus were extensively searched from inception till August 2021. Studies were included if they reported data for prevalence and outcomes including mortality and cardiovascular-related hospitalization events in TTRCA-AS patients referred for TAVR. The data for these outcomes were pooled using a random effects model and forest plots were created. RESULTS: After initially screening 146 articles, 6 were shortlisted for inclusion in our analysis. Pooled analysis demonstrated a 13.3% [95% CI: 10.9-16.5; p = 0.307] prevalence of TTRCA in patients with AS undergoing TAVR. The incidence of mortality and cardiovascular (CV) hospitalization in patients with TTRCA-AS undergoing TAVR were 28.3% [95% CI: 18.7-39.0, p = 0.478] and 21.1% [95% CI: 10.2-34.5, p = 0.211], respectively. CONCLUSION: The overall pooled TTRCA-AS prevalence was reported to be 13.3% in AS patients who underwent TAVR. Furthermore, transthyretin-associated CA was found to be associated with an increased risk of mortality and hospitalization. Large patient population studies are required to assess the safety and efficacy of TAVR in TTRCA-AS patients, as current research report data from small patient cohorts.

Serendipitous N,S-difunctionalization of triazoles with trifluoromethyl-ß-diketones: access to regioisomeric 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles as DNA-groove binders.

In the present research work, a serendipitous regioselective synthesis of DNA targeting agents, 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles, has been achieved through the one-pot cascade reaction of 3-mercapto[1,2,4]triazoles with trifluoromethyl-ß-diktetones in presence of NBS instead of the cyclized thiazolo[3,2-b][1,2,4]triazole. The present protocol offered a unique approach for functionalizing both N-acylation and S-alkylation in a concerted fashion. The structures of the regioisomeric products were thoroughly characterized by heteronuclear 2D NMR experiments. Facile scalability and excellent atom economy through easily available starting reactants are the notable features of the present sustainable protocol. Targeting tumor cell DNA with minor groove-binding small molecules has proven highly effective in the recent past, drawing significant attention for combating tumor-related afflictions. In this context, the synthesized analogs were primarily screened for their ability to bind with the DNA duplex d(CGCGAATTCGCG)2 using molecular modeling tools. Additionally, the most promising compound 14m was deployed as a probe for DNA sensing and interaction mechanisms with calf thymus (ct)DNA through various spectral techniques at a physiologic temperature of 37 °C. It has been found that the compound demonstrated a strong binding affinity (Kb = 1 × 105 M-1) with double-helical DNA, particularly within the minor groove, resulting in the formation of a stable complex through static quenching (Kq = 5.86 ± 0.11 × 1012 M-1 s-1). The fluorescent displacement assay confirmed that the quencher binds to the minor groove of ctDNA, further supported by circular dichroism and viscosity studies.

A systematic review on automatic identification of insomnia.

Insomnia is a prevalent sleep disorder characterized by difficulties in initiating sleep or experiencing non-restorative sleep. It is a multifaceted condition that impacts both the quantity and quality of an individual's sleep. Recent advancements in machine learning (ML), and deep learning (DL) have enabled automated sleep analysis using physiological signals. This has led to the development of technologies for more accurate detection of various sleep disorders, including insomnia. This paper explores the algorithms and techniques for automatic insomnia detection. Methods: We followed the recommendations given in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) during our process of content discovery. Our review encompasses research papers published between 2015 and 2023, with a specific emphasis on automating the identification of insomnia. From a se- lection of well-regarded journals, we included more than 30 publications dedicated to insomnia detection. In our analysis, we assessed the performance of various meth- ods for detecting insomnia, considering different datasets and physiological signals. A common thread across all the papers we reviewed was the utilization of artificial intel- ligence (AI) models, trained and tested using annotated physiological signals. Upon closer examination, we identified the utilization of 15 distinct algorithms for this de- tection task. Results: Result: The major goal of this research is to conduct a thorough study to categorize, compare, and assess the key traits of automated systems for identifying insomnia. Our analysis offers complete and in-depth information. The essential com- ponents under investigation in the automated technique include the data input source, objective, machine learning (ML) and deep learning (DL) network, training framework, and references to databases. We classified pertinent research studies based on ML and DL model perspectives, considering factors like learning structure and input data types. Conclusion: Based on our review of the studies featured in this paper, we have identi- fied a notable research gap in the current methods for identifying insomnia and oppor- tunities for future advancements in the automation of insomnia detection. While the current techniques have shown promising results, there is still room for improvement in terms of accuracy and reliability. Future developments in technology and machine learning algorithms could help address these limitations and enable more effective and efficient identification of insomnia. .

In Silico Structural and Functional Insight into the Binding Interactions of the Modeled Structure of Watermelon Urease with Urea.

Urease (EC 3.5.1.5) is an amidohydrolase. This nickel-dependent metalloenzyme converts urea into NH3 and CO2. Despite their vital role in plants, the structure and function of watermelon (Citrullus lanatus) urease are unknown. We used third- and fourth-generation gene prediction algorithms to annotate the C. lanatus urease sequence in this investigation. The solved urease structure from Canavalia ensiformis (PDB ID: 4GY7) was utilized as a template model to identify the target 3-D model structure of the unknown C. lanatus urease for the first time. Cluretox, the C. lanatus urease intrinsic disordered area identical to Jaburetox, was also found. The C. lanatus urease structure was docked with urea to study atom interaction, amino acid interactions, and binding analyses in the urease-urea complex at 3.5 Å. This study found that amino acids His517, Gly548, Asp631, Ala634, Thr569, His543, Met635, His407, His490, and Ala438 of C. lanatus urease bind urea. To study the molecular basis and mode of action of C. lanatus urease, molecular dynamics simulation was performed and RMSD, RMSF, Rg, SAS, and H-bond analyses were done. The calculated binding free energy (ΔG) for the urea-urease complex at 100 ns using the MM/PBSA method is -7.61 kJ/mol. Understanding its catalytic principles helps scientists construct more efficient enzymes, tailor fertilization to boost agricultural output, and create sustainable waste management solutions.

Trifluoromethyl-ß-dicarbonyls as Versatile Synthons in Synthesis of Heterocycles.

Trifluoromethyl group relishes a privileged position in the realm of medicinal chemistry because its incorporation into organic molecules often enhances the bioactivity by altering pharmacological profile of molecule. Trifluoromethyl-ß-dicarbonyls have emerged as pivotal building blocks in synthetic organic chemistry due to their facile accessibility, stability and remarkable versatility. Owing to presence of nucleophilic and electrophilic sites, they offer multifunctional sites for the reaction. This review covers a meticulous exploration of their multifaceted role, encompassing an in-depth analysis of mechanism, extensive scope, limitations and wide-ranging applications in diverse organic synthesis, covering the literature from the 21st century. This comprehensive review encapsulates the applications of trifluoromethyl-ß-dicarbonyls and their synthetic equivalents as precursors of complex and diverse heterocyclic scaffolds, fused heterocycles and spirocyclic compounds having medicinal and material importance. Their potent synthetic utility in cyclocondensation reactions with binucleophiles, cycloaddition reactions, C-C bond formations, asymmetric multicomponent reactions using classical/solvent-free/catalytic synthesis have been presented. Influence of unsymmetrical trifluoromethyl-ß-diketones on regioselectivity of transformation is also reviewed. This review will benefit the synthetic and pharmaceutical communities to explore trifluoromethyl-ß-dicarbonyls as trifluoromethyl building blocks for fabrication of heterocyclic scaffolds having implementation into drug discovery programs in the imminent future.

Pharmaceutical Suspensions: An Updated Patent Review on Novel Suspending Agents and Recent Advancement.

A wide variety of dosage forms are used for the oral administration of drugs to humans and animals. Apart from solid dosage forms, it also includes liquid dosage forms, such as solutions, suspensions, and emulsions. The selection is based on the physiochemical attributes of the therapeutically active ingredient. Suspensions are classified as dispersed systems that are heterogeneous in nature and consist of two phases. One phase is the continuous phase, the dispersion medium, or the external phase, which is either liquid or semisolid; the other is a solid particle dispersed in the external phase and called an internal or dispersed phase. They have several advantages over other dosage forms, such as effectively delivering hydrophobic drugs, avoiding the need for cosolvents, masking unpleasant tastes, and providing resistance to degradation and easy swallowing for young or elderly patients. They also attain higher drug concentrations compared to solution forms. This review article aims to study and explore the advantages, novel suspending agents, patent preference, and innovations of pharmaceutical suspension. It was targeted to scrutinize the literature floating in the internet domain regarding pharmaceutical suspension for delivery of drugs by oral route. The literature survey is targeted at the novel herbal suspending agents used, their patents involved, and innovations in the dosage form. Further, the study gives an insight into various aspects of suspension, such as classification of suspension, theories of suspension, various components used in suspension formulation, formulation aspect of suspension, evaluation parameters of suspension, patents, innovations, and regulatory status.

Bulldog Scalp Syndrome.

Bulldog scalp syndrome or cutis verticis gyrata (CVG) is a rare cutaneous disorder with an incidence of just 0.026 to 1 per 100,000 population and cosmetic problems should not be ignored as they can affect the quality of life of patients in social and psychological aspects. In CVG the scalp thickens to form folds resembling sulci and gyri just as the skin fold of bulldog. It is a clinical diagnosis with various etiologies. It is classified as primary essential or nonessential and secondary CVG. It can manifest with symptoms ranging from mild to severe intensity. Cosmetic problems are the major concern that can affect patients' social and psychological health. If the folds are heavy, they can cause mass symptoms. Thus, surgery remains the definitive treatment option for improving the cosmetic appearance. Both our cases have different etiologies, however, were managed surgically with removal of skin folds (gyrae) and scoring of aponeuroses of the scalp followed by stretching of the scalp and closure to improve appearance. The surgical team as well as patients were satisfied with the appearance of the scalp after healing. CVG though a rare disease with various etiologies is a benign condition with good prognosis with no reports of malignant transformation so far.

Kennedy Epitope (KE)-dependent Retrograde Transport of Efficiently Cleaved HIV-1 Envelopes (Envs) and its Effect on Env Cell Surface Expression and Viral Particle Formation.

Efficiently cleaved HIV-1 Envs are the closest mimics of functional Envs as they specifically expose only bNAb (broadly neutralizing antibody) epitopes and not non-neutralizing ones, making them suitable for developing vaccine immunogens. We have previously identified several efficiently cleaved Envs from clades A, B, C and B/C. We also described that truncation of the CT (C-terminal tail) of a subset of these Envs, but not others, impairs their ectodomain conformation/antigenicity on the cell surface in a CT conserved hydrophilic domain (CHD) or Kennedy epitope (KE)-dependent manner. Here, we report that those Envs (4 - 2.J41 and JRCSF), whose native-like ectodomain conformation/antigenicity on the cell surface is disrupted upon CT truncation, but not other Envs like JRFL, whose CT truncation does not have an effect on ectodomain integrity on the cell surface, are also defective in retrograde transport from early to late endosomes. Restoration of the CHD/KE in the CT of these Envs restores wild-type levels of distribution between early and late endosomes. In the presence of retrograde transport inhibitor Retro 2, cell surface expression of 4 - 2.J41 and JRCSF Envs increases [as does in the presence of Rab7a DN and Rab7b DN (DN: dominant negative)] but particle formation decreases for 4 - 2.J41 and JRCSF Env pseudotyped viruses. Our results show for the first time a correlation between CT-dependent, CHD/KE regulated retrograde transport and cell surface expression/viral particle formation of these efficiently cleaved Envs. Based on our results we hypothesize that a subset of these efficiently cleaved Envs use a CT-dependent, CHD/KE-mediated mechanism for assembly and release from late endosomes.

Intelligent planning of controllers for improved resilience in multi-area system involving nuclear power.

Increased innovation on finding new ways to generate energy from different sources to meet the growing demand of consumers has led to various challenges in controlling the power network when it faces different disruptions. To address these challenges, a new approach has been proposed in this research paper, which combines a controller with a soft computing technique called Particle Swarm Optimization (PSO). The study considers a power system with four units, where three different energy sources are utilized and distributed across two areas. Each area has two power sources, with one area having a combination of thermal and gas power plants, and the other area consisting of a nuclear power plant and a gas power plant. Transmitting power from the nuclear power plant is particularly complex due to its high sensitivity to disturbances. Therefore, an intelligent and efficient controller is needed to ensure robust control in this type of power network that includes nuclear power. The paper also conducts a thorough analysis of the harmful emissions associated with electricity generation from the different power plants considered. The goal is to reduce the carbon footprint associated with power generation. The proposed work and analysis in the paper are implemented using the MATLAB/SIMULINK environment.