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Recent studies claimed that the absence of a paradigm is a challenge to developing education for sustainable development and soft skills competencies. This integrative study examines stimulating these transferable and transversal competencies through constructivist approaches to teaching from the cognitive, social, radical, and critical perspectives. The study argues that the use of constructivist approaches to teaching can contribute to the achievement of education for sustainable development and soft skills competencies through the delegation of power from teachers/lecturers to students. This, in active and interactive classrooms, empowers students and builds their confidence to develop on the personal, academic, and professional levels. The use of the cognitive constructivist approach assists in developing competencies based on a clear understanding of the cognitive structures of students in a vibrant classroom environment. The use of the social constructivist approach assists in constructing individualized learning environment based on predetermined zones of proximal development in sociocultural contexts. The radical and critical constructivist approaches to teaching, through the rejection of conventional epistemologies, allow students the freedom to creatively address issues related to environmental, economic, and social sustainability. This becomes effective through the fostering of self and social awareness, challenging existing ideas, and provoking innovative thoughts that are necessary to shape a sustainable future.

Finding different technical procedures to increase the solubility of orally-taken medicines play a vital key role towards reducing their undesirable side effects and improving their therapeutic effectiveness. Low solubility of drugs may result in the emergence of disparate challenges like poor gastro-intestinal absorption, inadequate bioavailability, and difficulty of metabolism. In this research, it has been tried to model the solubility of Alendronate medication based on two input parameters of temperature and pressure. The pressure was considered to be between 120–300 bar, and temperature was set between 308–338 K for the entire analysis. For this purpose, the support vector machine model is considered. This model and the bagging and boosting models that have been used to strengthen it have been evaluated as three different models. Based on the R criterion, the SVR model has a score of 0.926, while Begging and AdaBoost have scores of 0.881 and 0.983, respectively. Based on this, the AdaBoost model can be considered a more successful ensemble model that has increased the SVR performance. Using this ensemble method, the RMSE error rate is 4.30E-02 and MAE is 2.96E-02.

Abstract In drilling operations, the formation of a filter cake is crucial for well stability, but its removal post-drilling is essential to restore rock formation productivity. This study focuses on hematite-based filter cakes and investigates factors influencing their solubility and removal, addressing a significant knowledge gap in the field. The research methodology involves examining the effects of various factors, including types and concentrations of reducing agents, temperature, particle size, and treatment duration, on the dissolution process. Notably, Nuclear Magnetic Resonance (NMR) tests are employed to assess the treatment's impact on core porosity. Among the diverse reducing agents examined, ferrous chloride emerges as the optimal choice for effectively enhancing hematite solubility. Particularly, a composite solution of ferrous chloride (10 wt.%) and hydrochloric acid (6 wt.%), was highly efficient demonstrated by exhibiting rapid solubilization of hematite filter cakes. A removal efficiency of approximately 99%, with a parallel enhancement in core permeability was achieved. NMR tests reveal the treatment's success in reinstating the porosity system, which had undergone reduction due to drilling fluid particles. Crucially, the solution exhibits a considerably lower corrosion rate than concentrated hydrochloric acid, highlighting its potential to mitigate environmental concerns while ensuring efficient filter cake removal. The findings of this research provide valuable insights into optimizing post-drilling operations, balancing environmental sustainability and operational efficiency. The identified composite solution offers a promising approach to efficient filter cake removal while mitigating environmental concerns associated with corrosion. Overall, this study contributes to advancing the understanding and practice of well productivity enhancement in the oil and gas industry.

High-density brines have been recognized beneficial for oilfield applications, with various key areas such as drilling, completion and formation evaluation. High-density brines can play a critical role in the development and production of oil and gas reservoirs during the primary, secondary, and tertiary recovery phases. High-density brines can enhance the mobility and recovery of the oil in the reservoir by controlling the density and viscosity. However, a less attention has been given to the application of high-density brine in the area of reservoir development. This review is shedding light on a concise overview of reservoir development stages in association with the recovery mechanisms. In addition, most possible applications of high-density fluids have also been reviewed in the field of the reservoir development. In summary, this review state that high-density brines can be used to stimulate reservoirs by hydraulic fracturing during the primary recovery phase. However, the risk of increased interfacial tension, which relies on the density difference of two fluids, can trap more residual oil relative to conventional water flooding. In addition, high-density brines are effective in decreasing the mobility ratio and facilitating favorable displacement during polymer flooding. However, they can be least effective in alkaline flooding due to the high IFT related to large density differences. Thus, it is suggested to consider the utilization of sustainable high-density brines by taking into account effective factors in petroleum engineering aspects such as stimulation, secondary recovery and polymer flooding.

Diglossia is a language situation that does not always take place between two dialects of the same language; speaking two different languages in two different encounters is also considered diglossia. This study examines the use of language among Arabic-speaking Australians in Sydney. After analyzing ten authentic doctor-patient examination sessions in a clinic in Sydney, this study reveals that Arabic-speaking Australians are diglossic as they speak Modern Standard Arabic (MSA), Reginal Arabic Dialects (RADs), and English depending on the technicality of the discussion. This study also reveals that the level of education, the number of years spent in Australia, age, and prestige play a significant role in determining high (H) and low (L) varieties among Arabic-speaking Australians. This study also reveals that educated Arabic-speaking Australians speak English as their preferred language in technical conversations regardless of their age of arrival to Australia. The uneducated Arabs who arrived in Australia before the age of 20 either speak English or RADs in technical discussions. The uneducated Arabs who arrived in Australia after the age of 20 either speak RADs or MSA in their technical discussions. This study also reveals that code-switching is relatively popular among Arabic-speaking Australians who arrived in Australia after the age of 20. Code-mixing is popular among Arabic-speaking Australians who were either born in Australia or arrived in Australia before the age of 20. In these situations, code-switching is used as an indication of social prestige and code-mixing is used to express group identity.

The increasing penetration of renewable energy sources (RESs) into electrical networks offers several interesting opportunities and challenges. One such opportunity is the utilization of DC transmission lines, which can enhance the efficiency and reliability of power transmission. However, DC transmission lines face a challenge in dealing with fault currents due to their high magnitudes and the absence of zero crossing points, characteristics that make it difficult for DC circuit breakers (CBs) to clear faults. Resistive superconducting fault current limiters (r-SFCLs) effectively minimize high magnitude fault currents, allowing DC CBs to operate safely during fault scenarios. The self-triggering feature and fast fault current limitation ability of r-SFCLs also make them particularly suitable for protecting against high DC fault currents. Several studies demonstrated the performance of r-SFCLs with one type of stabilizer layer, most commonly using either copper (Cu) or stainless steel (SS). This paper investigates and compares the performance of an r-SFCL with the two different stabilizer layers, with one case using copper and the other using stainless steel. A thermoelectric r-SFCL model incorporating all composed layers has been developed in Simulink/MATLAB® to investigate the performance of the r-SFCLs with the two different stabilizer layers. The r-SFCLs have been evaluated using different fault scenarios applied to the DC transmission lines of a solar farm. In this model, all r-SFCL layers, excluding the stabilizer layer but including the superconducting, silver, and substrate layers, have been fixed to show the impact of the stabilizer layer materials on the r-SFCL’s performance. This paper illustrates the fault current limiting capability of the r-SFCL, its effect on voltage behavior, its operating temperature, and its sensitivity to the fault location with the two different stabilizer layers. To simulate a range of fault levels and assess the limitation capability of the r-SFCLs, three distinct fault locations have been considered: one located 5 km away from the solar farm, another 15 km away, and a third 25 km away.

In this paper, an innovative transactive energy approach is proposed as viable option for coordinated distribution system planning across a certain horizon. The proposed approach is evaluated across a multi-looped (meshed) test system and is implemented with load growth having prosumers participating in the electrical market in transactive energy system aiming at evaluation on techno-economic basis. Apart from prosumer sensitivity analysis, evaluations have been carried across reducing total production cost of energy, reduction in per unit price, active power losses. Whereas improving voltage profile, cost of scheduling and consumer per kWh purchase and sales in comparison with traditional counterpart. The proposed framework includes optimization algorithm aiming at sources scheduling and IEEE 69 system for validation. The algorithm minimizes cost, maximizes energy efficiency, increases renewable energy mix and reduces consumers cost of energy purchase. Reduction of 51.44 % in cost of energy is achieved, whereas loss reduction of 12.6% is achieved. The comparison of IEEE 69-bus base case with the 10 %, 15% and 20% transactive energy applied with simulations to evaluate performance parameters that will directly benefit both prosumers and utility alike in-terms of low bills and further reduction of stress on the grid amid load growth across multiple years.

Glioblastoma multiforme (GBM) is regarded as the most aggressive form of brain tumor delineated by high cellular heterogeneity; it is resistant to conventional therapeutic regimens. In this study, the anti-cancer potential of garcinol, a naturally derived benzophenone, was assessed against GBM. During the analysis, we observed a reduction in the viability of rat glioblastoma C6 cells at a concentration of 30 µM of the extract (p < 0.001). Exposure to garcinol also induced nuclear fragmentation and condensation, as evidenced by DAPI-stained photomicrographs of C6 cells. The dissipation of mitochondrial membrane potential in a dose-dependent fashion was linked to the activation of caspases. Furthermore, it was observed that garcinol mediated the inhibition of NF-κB (p < 0.001) and decreased the expression of genes associated with cell survival (Bcl-XL, Bcl-2, and survivin) and proliferation (cyclin D1). Moreover, garcinol showed interaction with NF-κB through some important amino acid residues, such as Pro275, Trp258, Glu225, and Gly259 during molecular docking analysis. Comparative analysis with positive control (temozolomide) was also performed. We found that garcinol induced apoptotic cell death via inhibiting NF-κB activity in C6 cells, thus implicating it as a plausible therapeutic agent for GBM.

This paper developed an intelligent multi-agent system (MAS) with a multi-layer framework for multi-microgrids (MMGs) using robust and modern communication patterns for deployed agents to achieve distributed tasks. The MMG paradigm introduces three microgrids (MGs) based on the type of load, working environment, and living habitat: residential, commercial, and industrial. In addition, a day-ahead and real-time model is proposed for day-ahead and real-time signals. Intelligent agents in the multi-layer MAS framework make smart decisions based on multiple algorithms to optimize schedule power and minimize costs, considering demand dispatch and demand response as core components. Maximum renewable energy utilization aims to increase user comfort and reduce greenhouse gas (GHG) emissions. Load agents deployed in each MG ensure maximum efficiency. The proposed framework recommends various tariff rates and tariff adjustment strategies to promote and offer an economic evaluation across the respective indices. To minimize the monopoly of the energy market, an efficient energy market model is developed for the proposed MMG paradigm to maximize the competition by incorporating future and spot-market trading schemes for day-ahead and real-time signals. The comparative analysis indicates optimized results based upon the cost-benefit analysis, cost reduction, power transaction in the market, and maximum utilization of renewable energy resources (RERs).

At the molecular level, several developmental signaling pathways, such as Wnt/β-catenin, have been associated with the initiation and subsequent progression of prostate carcinomas. The present report elucidated the anti-cancerous attributes of an anthraquinone, aloe-emodin (AE), against androgen-independent human prostate cancer DU145 cells. The cytotoxicity profiling of AE showed that it exerted significant cytotoxic effects and increased lactose dehydrogenase levels in DU145 cells (p < 0.01 and p < 0.001). AE also induced considerable reactive oxygen species (ROS)-mediated oxidative stress, which escalated at higher AE concentrations of 20 and 25 μM. AE also efficiently instigated nuclear fragmentation and condensation concomitantly, followed by the activation of caspase-3 and -9 within DU145 cells. AE further reduced the viability of mitochondria with increased cytosolic cytochrome-c levels (p < 0.01 and p < 0.001) in DU145 cells. Importantly, AE exposure was also correlated with reduced Wnt2 and β-catenin mRNA levels along with their target genes, including cyclin D1 and c-myc. Furthermore, the molecular mechanism of AE was evaluated by performing molecular docking studies with Wnt2 and β-catenin. Evidently, AE exhibited good binding energy scores toward Wnt2 and β-catenin comparable with their respective standards, CCT036477 (Wnt2 inhibitor) and FH535 (β-catenin inhibitor). Thus, it may be considered that AE was competent in exerting anti-growth effects against DU145 androgen-independent prostate cancer cells plausibly by modulating the expression of Wnt/β-catenin signaling.

This work explored Phyla nodiflora (L.) Greene as a potential source of the bioactive medicinal agent. In this aspect, methanol (PN-M) and dichloromethane (PN-D) extracts were prepared from the whole plant and evaluated for phytochemical composition (total bioactive contents, UHPLC-MS analysis, and HPLC-PDA polyphenolic quantification), biological (antioxidant and enzyme inhibition) potential and in-vivo toxicity. The PN-M was found to contain higher phenolic (26.08 mg GAE/g extract) and flavonoid (50.25 mg QE/g extract) contents which might correlate to the higher radical scavenging (DPPH: 52.94 mg TE/g extract; ABTS: 72.11 mg TE/g extract) and reducing power (FRAP: 71.96 mg TE/g extract; CUPRAC: 142.65 mg TE/g extract) antioxidant potential, as well as AChE (4.33 mg GALAE/g extract), tyrosinase (125.36 mg KAE/g extract), and amylase (1.86 mmol ACAE/g extract) inhibition activity of this extract. In contrast, the PN-D extract was found to be most active for phosphomolybdenum (1.30 mg TE/ g extract) and metal chelation (54.84 mg EDTAE/g extract) assays in addition to BChE (4.70 mg GALAE/g extract) and glucosidase (0.62 mmol ACAE/g extract) enzyme inhibition activity. The PN-M extract on UHPLC-MS analysis revealed the tentative identification of 24 different secondary metabolites, most of which belonged to the flavonoid, glycoside, and terpenoid classes of phytochemicals. The polyphenolic composition of the extracts was appraised by HPLC-PDA. Seven phenolic compounds were identified in the extracts. PN-M was found to be rich in catechin (0.25 µg/extract) and 3-OH benzoic acid (0.64 µg/extract), while PN-D contained epicatechin (0.30 µg/extract), 3-OH-4-MeO benzaldehyde (0.21 µg/extract), and 2,3-Di-Meo benzoic acid (0.97 µg/extract) in higher amounts. The methanol extract was found to be non-toxic even at higher doses. Furthermore, the relationship between the phytochemicals and the tested enzymes was highlighted by molecular docking studies. In sum, this research showed that the studied extracts were effective as enzyme inhibitors and antioxidants, suggesting it would be worth investigating in more depth for further advanced studies to explore its pharmacological properties.

A formidable challenge that hinders the widespread adoption of renewable energy sources is the potential mismatch between their intermittent supply and the fluctuating demand. This necessitates proper coordination to moderate temporal net load variations while reducing costly curtailment of renewable energy production. By capturing the physical and security constraints of unbalanced distribution systems, this paper formulates a problem to manage various fleets of commercial- and residential-scale distributed energy resources (DERs), i.e., photovoltaics (PVs), deferrable loads (DLs), electric vehicles (EVs), and thermostatically-controlled loads (TCLs). A multi-phase distribution system expanded on the relaxed power flow constraints is considered to account for network awareness. The proposed objective is to minimize hour-to-hour fluctuations of the net load variable, reduce solar energy curtailment, and prioritize preferred EV state of charge and indoor temperature. This objective, however, renders the convex relaxation inexact, wherein positive-semidefinite (PSD) matrices are higher than rank-1. To overcome this issue and therefore enhance the reliability of the solution, we propose to tighten the relaxation constraints via appending the trace of the power flow PSD matrices to the objective function. Multiple case studies on the IEEE 13-bus feeder demonstrate the effectiveness of the proposed problem to optimize the load profile and yield exact solutions.

Introduction: Among numerous triterpenoids of the Cucurbitaceae family, Cucurbitacin-B (Cur-B) is being explored for its pharmacological attributes. Reports from previous studies have explicitly shown that Cur-B possesses substantial anticancer effects. The present report focuses on exploring the anticancer attributes of Cur-B against androgen-dependent PCa LNCaP cells.Methods: LNCaP cells were exposed to commercially available purified Cur-B at varying concentrations that were selected as 5, 10, 15, 20, and 25 µM for some time of 24 h to perform various experimental studies.Results: Cytotoxicity evaluation revealed that Cur-B impeded the LNCaP cell’s viability at 5 µM (p

Acute respiratory distress syndrome (ARDS) is one of the major problems in COVID-19 that is not well understood. ARDS is usually complicated by co-infections in hospitals. Although ARDS is inherited by Europeans and Africans, this is not clear for those from the Middle East. There are severe limitations in correlations made between COVID-19, ARDS, co-infectome, and patient demographics. We investigated 298 patients for associations of ARDS, coinfections, and patient demographics on COVID-19 patients’ outcomes. Of the 149 patients examined for ARDS during COVID-19, 16 had an incidence with a higher case fatality rate (CFR) of 75.0% compared to those without ARDS (27.0%) (p value = 0.0001). The co-infectome association showed a CFR of 31.3% in co-infected patients; meanwhile, only 4.8% of those without co-infections (p value = 0.01) died. The major bacteria were Acinetobacter baumannii and Escherichia coli, either alone or in a mixed infection with Klebsiella pneumoniae. Kaplan–Meier survival analysis of COVID-19 patients with and without ARDS revealed a significant difference in the survival time of patients with ARDS (58.8 +/− 2.7 days) and without ARDS (41.9 +/− 1.8 days) (p value = 0.0002). These findings prove that increased hospital time was risky for co-infectome-induced SDRS later on. This also explained that while empiric therapy and lethal ventilations delayed the mortality in 75% of patients, they potentially did not help those without co-infection or ARDS who stayed for shorter times. In addition, the age of patients (n = 298) was significantly associated with ARDS (72.9 +/− 8.9) compared to those without it (56.2 +/− 15.1) and was irrespective of gender. However, there were no significant differences neither in the age of admitted patients before COVID-19 (58.5 +/− 15.3) and during COVID-19 (57.2 +/− 15.5) nor in the gender and COVID-19 fatality (p value 0.546). Thus, Gram-negative co-infectome potentially induced fatal ARDS, aggravating the COVID-19 outcome. These findings are important for the specific differential diagnosis of patients with and without ARDS and co-infections. Future vertical investigations on mechanisms of Gram-negative-induced ARDS are imperative since hypervirulent strains are rapidly circulating. This study was limited as it was a single-center study confined to Ha’il hospitals; a large-scale investigation in major national hospitals would gain more insights.

Inhibition of Heat-shock protein 90 (Hsp90) is considered an attractive route in fighting against cancer proliferation. Herein, new indene derivatives targeting Hsp90 were synthesized, and biologically evaluated. The new series of indeno-pyrimidine and indeno-pyridine were synthesized from the reaction of indene-enaminone with various heterocyclic amines and active methylene derivatives. Two breast cancer cell lines were used to examine the new compounds in vitro for their anticancer activity, namely, MCF-7 and MDA-MB231 cancer cells. The new indene derivatives 8a-c, 17a, and 25 displayed significant antitumor effect especially on MCF-7 cell line compared to doxorubicin. Derivative 8a was further subjected to Hsp90 enzyme assay aiming to ensure the inhibitory potential of such compound on Hsp90, it displayed IC50 = 18.79 ± 0.68 nM relative to Alvespimycin as a reference drug. Finally, molecular modeling of the most active compounds in the Hsp90 binding site was done presenting agreement with the in vitro anti-Hsp90 activity.