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We usually mean what we say, but sometimes we do not. When I ironically utter ‘What lovely weather’ on a rainy day, or mistakenly utter ‘Jim is a barn door’ instead of ‘Jim is a darn bore’, I say one thing and mean another. However, although utterances like these are not uncommon, they are greatly overshadowed by the volume of humdrum utterances of ‘There is wine in the fridge’ or ‘I really like nachos’ where we mean what we say. And since we usually mean what we say, the following simple thesis will usually be correct. (N) S meant that p by uttering e iff S said that p by uttering e. The simplicity of (N) raises the question of whether it can be refined in order to also cover situations where we do not mean what we say. In this paper we defend a modal version of (N): an analysis where speaker meaning in most situations is identified with what is actually said, and in other situations with what the speaker would have said in certain counterfactual situations. The analysis constitutes a radical, but welcome, break with Gricean orthodoxy, where linguistic meaning, rather than speaker meaning, is ultimately used to explain other semantic notions. [ABSTRACT FROM AUTHOR]

Purpose: Germline mutations in either BRCA1 or BRCA2 genes are responsible for the majority of hereditary breast and ovarian cancers. At present, over thousand distinct BRCA1 and BRCA2 mutations have been identified. Specific mutations are found to be common within particular populations, resulting from genetic founder effects. To investigate the contribution of germline mutations in these two genes to inherited breast cancer in Iran, we performed BRCA1/BRCA2 mutation analyses in ten Iranian high risk breast cancer families. This is the first study analysing the complete coding sequences of both genes that concerns the Iranian population. Methods: BRCA1/BRCA2 mutation detection included sequencing of the coding and the 3′ and 5′ untranslated regions. To detect large genomic rearrangements in the BRCA1 gene semi-quantitative multiplex PCR was performed. Results: Two pathogenic mutations in the BRCA2 gene were detected: a novel deletion c.4415_4418delAGAA and a previously described insertion c.6033_6034insGT. In addition, one intronic variation g.5075–53C>T and a deletion/insertion g.*381_389del9ins29 in the 3′ untranslated region of BRCA1 were found in two of the investigated families. Both sequence alterations were absent in an age matched Iranian control group. The BRCA2 homozygous variation p.N372H, previously associated with an increased risk for developing breast cancer, was not identified in this study. We did not detect large genomic rearrangements in BRCA1 in patients tested negatively for disease causing mutations in both genes by standard sequencing. Conclusions: At present, the BRCA2 mutations c.4415_4418delAGAA and c.6033_6034insGT have not been identified in any investigated population except the Iranian. Whether both mutations are specific for the Iranian population or a special subgroup remains to be investigated in larger studies. The absence of BRCA1 mutations in the analysed families may suggest that penetrance or prevalence of BRCA1 mutations may be lower in Iran. [ABSTRACT FROM AUTHOR]

Abstract  The problem of buoyancy driven turbulent flow in parallel-plate channels is investigated. The investigation is limited to vertical channels of uniform cross-section with different modes of heating. The details of the flow and thermal fields are obtained from the solution of the conservation equations of mass, momentum, and energy in addition to equations of the low Reynolds number turbulence model. The study covers Rayleigh number ranging from 105 to 107 and focuses on the effect of channel geometry on the characteristic of the flow and thermal fields as well as the local and average Nusselt number variation. A Nusselt number correlation has been developed in terms of a modified Rayleigh number and channel aspect ratio for the cases of symmetrically heated isothermal and isoflux conditions. [ABSTRACT FROM AUTHOR]

This paper presents the results of velocity measurements of natural convection in symmetrically heated vertical channel using the particle image velocimetry (PIV) system. Velocity measurements were conducted at three different sections on the horizontal plane to validate the flow two-dimensionality and at three different heights in the vertical plane to establish vertical mean velocity profiles. The results indicate a considerable influence of the Rayleigh number and aspect ratio on the mean velocity profile. The results also indicate significant diffusion rates of the vertical mean velocity component and normal Reynolds stresses towards the center of the channel. [ABSTRACT FROM AUTHOR]

Objectives: Despite being in use for nearly two decades, the utility of [18F]2-fluoro-2deoxy-d-glucose positron emission tomography (FDG PET) in the evaluation and treatment of brain tumors remains controversial. We retrospectively analyzed all patients with histologically proven gliomas, between the years 1990 and 2000, who underwent FDG PET studies at various stages of their treatment and who were followed till either death or for a minimum period of 1 year in an attempt to bring resolution to this controversy.Methods: All PET scans prior to 1997 were acquired on an ECAT 951/31 scanner in 2D. Scans since 1997 were obtained on a Siemens HR+ scanner in 3D mode. The majority of FDG PET scans were co-registered with the magnetic resonance imaging (MRI) scans to aid in diagnosis and therapy. Based on independent visual inspection, two board certified nuclear medicine physicians graded the highest activity level of the tumor using the metabolic grading: 0 = no uptake; 1 = uptake less or equal to normal white matter; 2 = uptake greater than normal white matter and less than gray matter; 3 = uptake equal to or greater than gray mater. The measure of association of lambda λ was used to measure the strength of predictive ability of FDG PET for pathological grading of the gliomas. The Cox proportional hazards regression model was used to assess the significance of grade of uptake on survival.Results: A total of 331 patients were analyzed of which 137 had a PET scan prior to histological diagnosis and therapeutic intervention (mean age = 46.5 years; M : F = 1.7 : 1). Eighty six percent (143/166) of the patients with low uptake (metabolic scores 0,1) had low-grade gliomas (grade I,II) and 14% (23/166) high-grade gliomas (grade III,IV) on histologic examination. Ninety four percent (154/165) of the patients with high uptake (metabolic scores 2,3) on PET had high-grade gliomas and 7% (11/165) had low-grade gliomas on histologic examination. The grade of uptake had increasing significance on survival as the level increased from ''low'' to ''high'' (P = 0.0009). Ninety four percent (156/166) of the patients with low uptake survived for >1 year (median survival of 28 months) and 19% survived for >5 years. Only 29% (48/165) of patients with high uptake survived for >1 year, (median survival of 11 months) and none survived for >5 years. Irrespective of when the scan showed a high uptake of FDG, before or after intervention, the prognosis following that scan was poor.Conclusions: Our observations confirm the utility of FDG PET as a prognostic tool for the histological grading and survival in patients with gliomas and appears to more than complement pathological grading. [ABSTRACT FROM AUTHOR]

This research aims to explore how the MEH-PPV polymer matrix and the strength of the applied field (EF) affect an electron confined within strained CdSe/ZnSe spherical core/shell quantum dots (CSQDs). By solving the Schrödinger equation using the element method (FEM) and effective mass approximation we calculated eigenenergy values and their corresponding wavefunctions. Through a compact density matrix approach, we examined how the MEH-PPV polymer matrix, QDs size and electric field intensity impact nonlinear rectification (NOR), in both unstrained systems. By considering factors such as the surrounding polymer matrix and size confinement we analysed computed coefficients related to EF intensity, peak locations and shifts. Our key findings suggest that understanding NOR in relation to parameters and surrounding materials can provide insights, for improving future optoelectronic and photonic devices.Article Highlights: The nonlinear optical rectification (NOR) experiences a blueshift for the transition 2 → 3 compa ing to the transition 1 → 2. The organic MEH-PPV medium reduces the NOR coefficient resonance peaks and shifts them towards the blue-shift. When the strain effect is taken into account, NOR’s resonance peaks shift towards low energies and their amplitudes are enhanced. [ABSTRACT FROM AUTHOR]

Quaternary chalcogenide compositions have gained much attention because of their promising potential for various optoelectronic applications. The band structure, density of states, and optical properties of CuZn2InS4 and CuZn2GaS4 for kesterite and stannite structures are studied with the full-potential augmented plane wave method as implemented in the Wien2k code. The total energy in equilibrium is calculated for different possible crystal structures. The phase stability and transitions with p–d orbitals are also analyzed. Moreover, the absorption coefficient, dielectric function, and refractive index of these materials are explored within a broad range of energy. We compare the calculated band gap values with available experimental results. [ABSTRACT FROM AUTHOR]

Wnt family member 9b (Wnt9b) has been demonstrated as a valuable marker for breast cancer diagnosis in surgical pathology. In this study, we examined the utility of Wnt9b in diagnosing metastatic breast carcinoma in cytology samples. Cell blocks from fine needle aspirations (FNA) and fluid specimens of 96 metastatic breast carcinomas and 123 primary and metastatic non-breast neoplasms from various organ systems were evaluated by Wnt9b and GATA3 immunohistochemistry (IHC). Wnt9b and GATA3 were positive in 81.3% and 92.7% of metastatic breast carcinomas, respectively. Conversely, 93.5% and 90.0% of non-breast, non-urothelial carcinomas were negative for Wnt9b and GATA3, respectively. Wnt9b expression was positive in rare gastrointestinal, gynecological, lung, pancreas, and salivary gland tumors. All twenty-eight urothelial carcinomas were negative for Wnt9b, while twenty-six (92.9%) were positive for GATA3. Wnt9b was slightly less sensitive but more specific than GATA3 in diagnosing metastatic breast cancer in cytology samples. Particularly, Wnt9b shows higher specificity in differentiating breast and urothelial primaries. The combined use of Wnt9b and GATA3 may increase diagnostic accuracy. [ABSTRACT FROM AUTHOR]

Purpose: This article analyzes violence and abuse in LGBTIQ + people's former relationships. Combining assemblage theory with intersectionality, it rethinks queer and feminist understandings by analyzing intimate partner violence as assemblages. This offers a nuanced approach that does not rely on simplistic causal models. Methods: The article draws on a dataset of interviews with separated LGBTIQ + people, 30 in Finland and 28 in England. It focuses on 13 interviewees who gave accounts of mental, physical, and sexual violence within previous relationships. Following a Deleuze-inspired rhizomatic methodology, the analysis "enters in the middle" of complex abusive assemblages and identifies the most central elements and affective entanglements that helped to maintain and/or diminish the abuse. Results: Assemblages that engender and maintain abuse are complex and multiple. Nevertheless, they are not random: the rhizomatic workings of heteronormativity, the social status of LGBTIQ + relationships, and gender-related elements entangle in assemblages that amplify the effects of abuse and constrain participants' bodies. Conclusions: Abuse in LGBTIQ + people's relationships can be understood through the posthuman theoretical idea of distributed agency: abuse gains force in and through its entanglements with other elements within an assemblage. This does not absolve abusive persons of responsibility for their actions. Rather, it reveals that the efficacy of agency depends on the interactive forces and elements within an assemblage. Abuse and violence often accumulate, as the exposure of bodies to injurious conditions produces affective relations that can become patterned in LGBTIQ + people's lives. [ABSTRACT FROM AUTHOR]

Introduction: Digital exclusion is a growing challenge when deploying digital patient care pathways and a potential barrier to widespread implementation, especially in the field of smartphone-based self-monitoring of vision. This retrospective case series seeks to examine the characteristics of individuals who adhere to a smartphone home monitoring programme using the Alleye app for retinal disease, with a focus on digital exclusion, social deprivation and clinical outcomes. Methods: We conducted a retrospective analysis of 89 patients with retinal pathologies including diabetic retinopathy and retinal vein occlusions at Moorfields Eye Hospital participating in an Alleye home monitoring programme between April 2020 and November 2022. Postcodes were used to determine the Digital Exclusion Risk Index (DERI) and the Index of Multiple Deprivation (IMD) rebased for London. Clinical information from the electronic patient record and Alleye app usage data were extracted for each patient. Associations between the DERI/IMD, clinical parameters and app use were examined using multivariable regression models. Results: Mean DERI was 2.56 (standard deviation [SD] = 0.36), IMD was 6.25 (SD = 2.79), visual acuity (VA) in the better eye at study entry was 83.28 Early Treatment Diabetic Retinopathy Study (ETDRS) letters (SD = 7.92), and mean follow-up was 344.46 days (SD = 260.13). During the observation period, 36% received an intravitreal injection (IVI) and VA fell by at least ten letters in approximately one in four patients. In 87.5% of patients requiring IVI, the use of the app increased. We found no association between clinical parameters and programme adherence for DERI or IMD. Conclusions: We found no association between high digital exclusion risk and high social deprivation with monitoring adherence to smartphone-based self-monitoring of vision, contrary to the currently available evidence. This suggests that smartphone-based self-monitoring of vision is accessible to population groups of varying digital exclusion and social deprivation risk, and can be safely employed to monitor clinical progression. [ABSTRACT FROM AUTHOR]

Avatars play a key role in how persons interact within virtual environments, acting as the digital selves. There are many types of avatars, each serving the purpose of representing users or others in these immersive spaces. However, the optimal approach for these avatars remains unclear. Although consumer applications often use cartoon-like avatars, this trend is not as common in work settings. To gain a better understanding of the kinds of avatars people prefer, three studies were conducted involving both screen-based and virtual reality setups, looking into how social settings might affect the way people choose their avatars. Personalized avatars were created for 91 participants, including 71 employees in the automotive field and 20 participants not affiliated with the company. The research shows that work-type situations influence the chosen avatar. At the same time, a correlation between the type of display medium used to display the avatar or the person's personality and their avatar choice was not found. Based on the findings, recommendations are made for future avatar representations in work environments and implications and research questions derived that can guide future research. [ABSTRACT FROM AUTHOR]

In this study, we conducted a comprehensive investigation on the influence of waste perlite powder (WPP) on the various properties of mortar and paste, including slurry performance, mechanical strength, hydration products, and microstructure. Additionally, we also aimed to uncover the underlying mechanism behind these effects. It was found that WPP reduced the workability and facilitated the setting process of cement-WPP pastes. WPP decreased the mechanical strength of mortar, but it exhibited significant strength enhancement during the subsequent stages. The incorporation of WPP worsened the water absorption behavior; however, this negative effect was mitigated as the curing age of the mortar was prolonged. The drying shrinkage cement-WPP binary system was significantly improved, with the prolongation of curing age. Moreover, WPP reduced the early heat release of the binary system, which may be beneficial for reducing the temperature gradient in mass concrete. It was confirmed that WPP accelerated the transformation from AFt to AFm, promoted the formation of C-A-S-H and optimized the pore structure of the system. It was confirmed that WPP was involved in the hydration reaction, which accelerated the transformation from AFt to AFm and promoted the formation of C-A-S-H. Such results suggested that the reuse of WPP in concrete production was technically feasible owing to its high pozzolanic reactivity. [ABSTRACT FROM AUTHOR]

In this paper, we present a mathematical study of particle diffusion inside and outside a spherical biological cell that has been exposed on one side to a propagating planar diffusive front. The media inside and outside the spherical cell are differentiated by their respective diffusion constants. A closed form, large-time, asymptotic solution is derived by the combined means of Laplace transform, separation of variables, and asymptotic series development. The solution process is assisted by means of an effective far-field boundary condition, which is instrumental in resolving the conflict of planar and spherical geometries. The focus of the paper is on a numerical comparison to determine the accuracy of the asymptotic solution relative to a fully numerical solution obtained using the finite element method. The asymptotic solution is shown to be highly effective in capturing the dynamic behaviour of the system, both internal and external to the cell, under a range of diffusive conditions. [ABSTRACT FROM AUTHOR]

The Kingdom of Saudi Arabia (KSA) has recently made significant changes to its tertiary education programs, aligning itself with other nations in the Middle East and North Africa by adopting the practice of English Medium Instruction (EMI). However, EMI is not without drawbacks. In the UAE and Qatar, for example, researchers have reported on the potential adverse consequences of the policy. This study seeks to explore KSA university students' and instructors' attitudes toward EMI, with a significant focus on broader social and cultural perceptions, while also addressing pedagogical issues. This approach contrasts with the predominant focus in the existing literature, which primarily emphasizes pedagogical aspects. A mixed-method approach is utilized in which students were surveyed quantitatively, and instructors were interviewed. The study does not reveal any evidence of broader social and cultural concerns such as those reported elsewhere; however, the findings do indicate student resistance to a monolingual approach, whether English or Arabic. Thus, by taking into consideration the findings presented here and in other studies, in conjunction with relevant theoretical suppositions, this study substantiates the benefits of a mixed-medium approach combining English and Arabic. [ABSTRACT FROM AUTHOR]

This is a study of the syntax and semantics of reports containing speech-act and propositional attitude verbs with quotational complements. I make the case that while the quotational complements of some verbs, including utter, are nominal and metalinguistic, those of others, including assert and believe, are clausal and nonmetalinguistic. Quotational reports with 'say' are ambiguous. When quotational complements are clausal, they are like that-clauses in being subordinate content clauses with main-clause form. Unlike that-clauses, quote-clauses force deictic shift and are unambiguously opaque. I also argue that quotation marks serve a different function in "mixed" reports, and that use of the traditional "direct" and "indirect" is not consistent with their traditional definitions. [ABSTRACT FROM AUTHOR]

Today's Information Technology landscape is rapidly evolving. Cyber professionals are increasingly concerned about maintaining security and privacy. Research has shown that the emergence of new malware is on the rise. The realm of malware assault and defense is an endless circle. Antivirus firms are always striving to create signatures for hazardous malware, while attackers are constantly seeking to circumvent these signatures. Machine learning is incredibly successful at detecting malware. ML-based Malware detection falls into two categories: feature extraction and malware classification. The proposed solutions are designed specifically for low-power embedded devices and edge computing systems. These methods allow for real-time malware detection without imposing a significant computing burden. This study provides an in-depth analysis of feature reduction, and lightweight algorithms to enable this proposed method to work effectively and efficiently on any device starting from PC, IoT devices and servers. Extensive experiments were carried out on BODMAS dataset to provide the best low-complexity method with an F1 score of more than 99%. [ABSTRACT FROM AUTHOR]

Water pollution from wastewater is still a major environmental concern today. One of the most harmful pollutants is a dye, which is produced in large quantities by a variety of industries, including textile, paper, petrochemical, and plastics. Herein, in the presence of biopolymer chitosan (Cs), controllable synthesis of chitosan/tungsten oxide (Cs/WO3) nanosheet was explored by a precipitation method at room temperature (R.T). The physicochemical properties of Cs/WO3 nanosheet specimens were evaluated using different tools such as XRD, SEM, TEM, EDX, and UV–Vis spectrophotometry. The tunable size for exhibited sheets ranged from 100 to 400 nm and 60 to 200 nm thickness. Under optimal conditions, the photocatalytic decomposition of methylene blue (MB) was investigated via visible light irradiation, and 0.6 g Cs/WO3 nanosheet proposed complete decomposition of MB within 40 min at neutral pH. Also, the antibacterial effects of the Cs/WO3 nanosheet against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) bacteria are examined. The research demonstrates that the green-prepared WO3 displays outstanding antibacterial activity against bacterial strains and a drop-in bacterial activity after 24 h. [ABSTRACT FROM AUTHOR]

In recent years, the interaction of a human operator with teleoperated robotic systems has been much improved. One of the factors influencing this improvement is the addition of force feedback to complement the visual feedback provided by traditional graphical user interfaces. However, the users of these systems performing tasks in isolated and safe environments are often inexperienced and occasional users. In addition, there is no common framework to assess the usability of these systems, due to the heterogeneity of applications and tasks, and therefore, there is a need for new usability assessment methods that are not domain specific. This study addresses this issue by proposing a measure of usability that includes five variables: user efficiency, user effectiveness, mental workload, perceived usefulness, and perceived ease of use. The empirical analysis shows that the integration of haptic feedback improves the usability of these systems for non-expert users, even though the differences are not statistically significant; further, the results suggest that mental workload is higher when haptic feedback is added. The analysis also reveals significant differences between participants depending on gender. [ABSTRACT FROM AUTHOR]

The Runge-Kutta Optimization (RUNGE) algorithm is a recently proposed metaphor-free metaheuristic optimizer borrowing practical mathematical foundations of the famous Runge-Kutta differential equation solver. Despite its relatively new emergence, this algorithm has several applications in various branches of scientific fields. However, there is still much room for improvement as it suffers from premature convergence resulting from inefficient search space exploration. To overcome this algorithmic drawback, this research study proposes a brand-new quasi-dynamic opposition-based learning (QDOPP) mechanism to be implemented in a standard Runge-Kutta optimizer to eliminate the local minimum points over the search space. Enhancing the asymmetric search hyperspace by taking advantage of various positions of the current solution within the domain is the critical novelty to enrich general diversity in the population, significantly improving the algorithm's overall exploration capability. To validate the effectivity of the proposed RUNGE-QDOPP method, thirty-four multidimensional optimization benchmark problems comprised of unimodal and multimodal test functions with various dimensionalities have been solved, and the corresponding results are compared against the predictions obtained from the other opposition-based learning variants as well as some state-of-art literature optimizers. Furthermore, six constrained engineering design problems with different functional characteristics have been solved, and the respective results are benchmarked against those obtained for the well-known optimizers. Comparison of the solution outcomes with literature optimizers for constrained and unconstrained test problems reveals that the proposed QDOPP has significant advantages over its counterparts regarding solution accuracy and efficiency. [ABSTRACT FROM AUTHOR]

Ammonia, with its high hydrogen storage density of 17.7 wt.% (mass fraction), cleanliness, efficiency, and renewability, presents itself as a promising zero-carbon fuel. However, the traditional Haber–Bosch (H–B) process for ammonia synthesis necessitates high temperature and pressure, resulting in over 420 million tons of carbon dioxide emissions annually, and relies on fossil fuel consumption. In contrast, dielectric barrier discharge (DBD) plasma-assisted ammonia synthesis operates at low temperatures and atmospheric pressures, utilizing nitrogen and hydrogen radicals excited by energetic electrons, offering a potential alternative to the H-B process. This method can be effectively coupled with renewable energy sources (such as solar and wind) for environmentally friendly, distributed, and efficient ammonia production. This review delves into a comprehensive analysis of the low-temperature DBD plasma-assisted ammonia synthesis technology at atmospheric pressure, covering the reaction pathway, mechanism, and catalyst system involved in plasma nitrogen fixation. Drawing from current research, it evaluates the economic feasibility of the DBD plasmaassisted ammonia synthesis technology, analyzes existing dilemmas and challenges, and provides insights and recommendations for the future of nonthermal plasma ammonia processes. [ABSTRACT FROM AUTHOR]

Forecasting energy demand has been a critical process in various decision support systems regarding consumption planning, distribution strategies, and energy policies. Traditionally, forecasting energy consumption or demand methods included trend analyses, regression, and auto-regression. With advancements in machine learning methods, algorithms such as support vector machines, artificial neural networks, and random forests became prevalent. In recent times, with an unprecedented improvement in computing capabilities, deep learning algorithms are increasingly used to forecast energy consumption/demand. In this contribution, a relatively novel approach is employed to use long-term memory. Weather data was used to forecast the energy consumption from three datasets, with an additional piece of information in the deep learning architecture. This additional information carries the causal relationships between the weather indicators and energy consumption. This architecture with the causal information is termed as entangled long short term memory. The results show that the entangled long short term memory outperforms the state-of-the-art deep learning architecture (bidirectional long short term memory). The theoretical and practical implications of these results are discussed in terms of decision-making and energy management systems. [ABSTRACT FROM AUTHOR]

In this paper, we theoretically investigated the combined effects of the external electric field (EF) strength and the geometric parameters on the linear, nonlinear and total dielectric functions as well as the effective dielectric function (DF) coefficients of PbS/CdS spherical core/shell quantum dots (CSQD) in the presence of the hydrogenic impurity located at the center. The subband energy eigenvalues and their corresponding wave functions are obtained by solving the time-independent Schrödinger equation and using the variational method (VM) in the framework of the effective mass approximation (EMA). The linear, nonlinear and total DF as well as the effective DF were discussed and evaluated under the influence of EF intensity, geometric parameters, the change of the number of quantum dots (QDs) per unit volume and optical intensity I based on the compact density matrix (CDM) approach. The obtained results show that the height peaks of the linear, nonlinear and Total DF as well as the effective DF coefficients increase and their resonant peak moves towards lower energies as the EF and geometric factors increase in both cases with and without considering the hydrogenic impurity effect. Furthermore, our findings show that the impact of optical intensity and the number of QDs per unit volume does not change the resonance peaks of imaginary parts of DF and effective DF but decreases their magnitudes. As a result, we believe that numerical results will present important developments and provide great contributions in designing new optoelectronic devices related to CSQD hetero-nanostructure. [ABSTRACT FROM AUTHOR]

Two potent greenhouse gases that are mostly found in agricultural soils are methane and nitrous oxide. Therefore, we investigated the effect of different moisture regimes on microbial stoichiometry, enzymatic activity, and greenhouse gas emissions in long-term paddy soils. The treatments included a control (CK; no addition), chemical fertilizer (NPK), and NPK + cattle manure (NPKM) and two moisture regimes such as 60% water-filled pore spaces (WFPS) and flooding. The results revealed that 60% water-filled pore spaces (WFPS) emit higher amounts of N2O than flooded soil, while in the case of CH4 the flooded soil emits more CH4 emission compared to 60% WFPS. At 60% WFPS higher N2O flux values were recorded for control, NPK, and NPKM which are 2.3, 3.1, and 3.5 µg kg−1, respectively. In flooded soil, the CH4 flux emission was higher, and the NPKM treatment recorded the maximum CH4 emissions (3.8 µg kg−1) followed by NPK (3.2 µg kg−1) and CK (1.7 µg kg−1). The dissolved organic carbon (DOC) was increased by 15–27% under all flooded treatments as compared to 60% WPFS treatments. The microbial biomass carbon, nitrogen, and phosphorus (MBC, MBN, and MBP) significantly increased in the flooded treatments by 8–12%, 14–21%, and 4–22%, respectively when compared to 60% WFPS. The urease enzyme was influenced by moisture conditions, and significantly increased by 42–54% in flooded soil compared with 60% WFPS while having little effect on the β-glucosidase (BG) and acid phosphatase (AcP) enzymes. Moreover DOC, MBC, and pH showed a significant positive relationship with cumulative CH4, while DOC showed a significant relationship with cumulative N2O. In the random forest model, soil moisture, MBC, DOC, pH, and enzymatic activities were the most important factors for GHG emissions. The PLS-PM analysis showed that soil properties and enzymes possessed significantly directly impacted on CH4 and N2O emissions, while SMB had indirect positive effect on CH4 and N2O emissions. [ABSTRACT FROM AUTHOR]

Rhododendrons produce a variety of methoxyflavonoids, including rarely found 3-methoxyflavonoids and 5-methoxyflavonoids. It was thus suggested that they have a series of regiospecific flavonoid O-methyltransferases (FOMTs). The 18 Class II O-methyltransferase (OMT) genes were retrieved from the Rhododendron delavayi genome, designating them as RdOMTs. A comprehensive biochemical characterization of RdOMTs was performed to identify functional FOMTs. The FOMT activity of recombinant RdOMTs was assayed with flavonoid substrates of different subclasses. Among the examined RdOMTs, RdOMT3, RdOMT10, and RdOMT12 showed FOMT activity for diverse flavonoids. In particular, RdOMT3 consumed only flavonols as a substrate. Structural analyses of the methylated products demonstrated that RdOMT3, RdOMT10, and RdOMT12 catalyze regiospecific methylation of flavonoids at the 3'/5'-, 3-, and 4'-hydroxyl groups, respectively. Their broad substrate spectrum and different regiospecificity suggest that these RdOMTs contribute to the formation of complex methoxyflavonoids in R. delavayi. Bioconversion of flavonoids using E. coli harboring each RdOMT demonstrated that RdOMT3, RdOMT10, and RdOMT12 are useful tools for the biotechnological production of valuable methoxyflavonoids, including the rarely found 3-methoxyflavonoids. [ABSTRACT FROM AUTHOR]

Background: HCC (Hepatocellular carcinoma) is the most common primary malignant cancer in the liver. Treatment options to incurable HCC such as sorafenib, an oral multikinase inhibitor, had numerous side effects and questionable effectiveness. Neurokinin-1 receptor (NK1R) have a major role in inflammation and tumour environment including the resistance to cell death, the induction of angiogenesis and the promotion of cell migration and proliferation. Additionally, NK-1R is over-expressed in human tumour cells including HCC. Moreover, Aprepitant, one of the NK-1R antagonists exerts multiple antitumor activities (antiproliferative, apoptotic, antimigration, and antiangiogenesis) in vivo and in vitro. Study aim: To analyze the effectiveness of combining sorafenib with aprepitant in the management of HCC (experimental). Patients and methods: In this retrospective experimental study, the human HCC cell line, HepG2, cells were exposed to increasing concentrations of sorafenib alone, aprepitant alone and combination of both sorafenib and aprepitant evaluation of cytotoxicity, apoptosis, MMP-9, VEGF, NF-kB p-65, p-AKT and p-ERK were done. Moreover, The extent of the NK-1 receptor expression was assessed by immunocytochemistry on 50 HCC paraffin blocks of Egyptian HCC patients and another 50 paraffin blocks of liver cirrhosis only as a control. Results: Decreased levels of MMP-9, VEGF, NF-kB p-65, p-AKT and p-ERK was more substantial in the combination therapy compared to sorafenib alone and aprepitant alone. Moreover, the rate of apoptosis and cytotoxicity were significantly higher in the combination treatment group than the monotherapy groups with more anti inflammatory, anti angiogentic and anti metastatic effects. Also, among the 50 HCC paraffin blocks, the majority (60%) showed a strong NK-1 expression; which significantly (p < 0.05) correlated with the progression free survival (PFS) but not the overall survival (OS) of the patients when applying multivariate analysis. Conclusion: HCC had strong expression and immunostaining for NK1R.Therefore, combined aprepitant and sorafenib may be a promising approach in HCC treatment compared to each one alone. [ABSTRACT FROM AUTHOR]

This work examines the capacity of Naringin and Rutin to influence the DNA damage response (DDR) pathway by investigating their interactions with key DDR proteins, including PARP-1, ATM, ATR, CHK1, and WEE1. Through a combination of in silico molecular docking and in vitro evaluations, we investigated the cytotoxic and genotoxic effects of these compounds on MDA-MB-231 cells, comparing them to normal human fibroblast cells (2DD) and quiescent fibroblast cells (QFC). The research found that Naringin and Rutin had strong affinities for DDR pathway proteins, indicating their capacity to specifically regulate DDR pathways in cancer cells. Both compounds exhibited preferential cytotoxicity towards cancer cells while preserving the vitality of normal 2DD fibroblast cells, as demonstrated by cytotoxicity experiments conducted at a dose of 10 µM. The comet experiments performed particularly on QFC cells provide valuable information on the genotoxic impact of Naringin and Rutin, highlighting the targeted initiation of DNA damage in cancer cells. The need to use precise cell models to appropriately evaluate toxicity and genotoxicity is emphasized by this discrepancy. In addition, ADMET and drug-likeness investigations have emphasized the pharmacological potential of these compounds; however, they have also pointed out the necessity for optimization to improve their therapeutic profiles. The antioxidant capabilities of Naringin and Rutin were assessed using DPPH and free radical scavenging assays at a concentration of 10 µM. The results confirmed that both compounds have a role in reducing oxidative stress, hence enhancing their anticancer effects. Overall, Naringin and Rutin show potential as medicines for modulating the DDR in cancer treatment. They exhibit selective toxicity towards cancer cells while sparing normal cells and possess strong antioxidant properties. This analysis enhances our understanding of the therapeutic uses of natural chemicals in cancer treatment, supporting the need for more research on their mechanisms of action and clinical effectiveness. [ABSTRACT FROM AUTHOR]

Advancements in food science and technology have paved the way for the development of natural antimicrobial compounds to ensure the safety and quality of meat and meat products. Among these compounds, bacteriocin produced by lactic acid bacteria has gained considerable scientific attention for its ability to preserve the healthy properties of meat while preventing spoilage. This natural preservative is seen as a pioneering tool and a potent alternative to chemical preservatives and heat treatment, which can have harmful effects on the nutritional and sensory qualities of meat. Bacteriocin produced by lactic acid bacteria can be used in various forms, including as starter/protective cultures for fermented meats, purified or partially purified forms, loaded in active films/coatings, or established in encapsulate systems. This review delves into the downstream purification schemes of LAB bacteriocin, the elucidation of their characteristics, and their modes of action. Additionally, the application of LAB bacteriocins in meat and meat products is examined in detail. Overall, the use of LAB bacteriocins holds immense potential to inspire innovation in the meat industry, reducing the dependence on harmful chemical additives and minimizing the adverse effects of heat treatment on nutritional and sensory qualities. This review provides a comprehensive understanding of the potential of bacteriocin produced by lactic acid bacteria as a natural and effective meat preservative. [ABSTRACT FROM AUTHOR]

Dynamic multiobjective optimization is a significant challenge in accurately capturing changes in Pareto optimal sets (PS), encompassing both location and manifold changes. Existing approaches primarily focus on tracking changes in the location of the PS, often overlooking the potential impact of changes in the PS manifold, which can be decomposed into rotation and distortion changes. Such oversights can lead to a reduction in the overall performance of an algorithm. To address this issue, a prediction method based on joint subspace and correlation alignment (PSCA) is proposed. PSCA leverages a subspace alignment strategy to effectively capture rotation change in the PS manifold while employing a correlation alignment strategy to capture distortion change. By integrating these two strategies, a quasi-initial population is generated that embodies the captured rotation and distortion change patterns in a new environment. Then, the promising individuals are selected from this quasi-initial population based on their nondominated relations and crowding degree to form the initial population in the new environment. To evaluate the effectiveness of PSCA, we conduct experiments on fourteen benchmark problems. The experimental results demonstrate that PSCA achieves significant improvements over several state-of-the-art algorithms. [ABSTRACT FROM AUTHOR]

Objective: A sequence of biologically active vanillin acetamides bearing heterocyclic moiety (VHAs) specifically vanillin isoniazid acetamide (VISO), vanillin-2-pyridine acetamide (V2PR), vanillin-4-pyridine acetamide (V4PR), and vanillin-2-pyrimidine acetamide (V2PM) are synthesized and methodically characterized by spectroscopic techniques such as Nuclear Magnetic Resonance (1H and 13C NMR), Electrospray Ionization Mass, Fourier Transform Infrared and Ultraviolet-Visible spectroscopy. Further, the VHAs are inspected for in vitro biological activities such as anti-inflammatory by protein anti-denaturation, antidiabetic by enzyme inhibition method and the in vitro results are linked with the reference drug. Methods: To the acetonitrile solution of intermediate TBTU and trimethylamine is added at room temperature. The reaction mixture is stirred for 30 min and then the corresponding amine is added. The reaction mixture is stirred for 4 h and the reaction mixture is extracted with ethyl acetate. The evaporation of the solvent yielded the VHAs. The anti-inflammatory activity of VHAs is tested disbursing the Bovine serum albumin denaturation technique. The antidiabetic activity of VHAs is tested using the α-amylase inhibition method. Results and Discussion: The designed VHAs were successfully synthesized, well characterized by necessary spectroscopic techniques (1H and 13C NMR), Electrospray Ionization Mass and the structure of the VHAs was very clearly interpreted and discussed. The chemical structure and electronic topographies of VHAs agree with the biological activity distinctions. Hence, thorough analysis has been achieved in the computational methods such as Frontier molecular orbitals, molecular electrostatic potential and Mulliken charge distribution studies using the density functional theory method. The correlation between in vitro studies and docking results revealed that structural and electronic properties production an important role in biological activity. Conclusions: The VHAs obtainable very well α-amylase inhibitory activity and comparable results were obtained in the molecular docking studies. [ABSTRACT FROM AUTHOR]

In this paper we study non-nilpotent non-Lie Leibniz F -algebras with one-dimensional derived subalgebra, where F is a field with char (F) ≠ 2 . We prove that such an algebra is isomorphic to the direct sum of the two-dimensional non-nilpotent non-Lie Leibniz algebra and an abelian algebra. We denote it by L n , where n = dim F L n . This generalizes the result found in Demir et al. (Algebras and Representation Theory 19:405-417, 2016), which is only valid when F = C . Moreover, we find the Lie algebra of derivations, its Lie group of automorphisms and the Leibniz algebra of biderivations of L n . Eventually, we solve the coquecigrue problem for L n by integrating it into a Lie rack. [ABSTRACT FROM AUTHOR]

A model of magnetohydrodynamic (MHD) flow of non-Newtonian Casson hybrid nanofluid past a Darcy–Forchheimer porous inclined surface has been considered. Consequences of volumetric thermal and mass expansions along with Thompson and Troian velocity slip constraints on flow profiles have been investigated. Heat and mass transfer have been manipulated over heat absorption, Dufour and Soret effects, Ohmic heating (irreversible process in which electrical energy is transformed into thermal energy) and chemical reactions. Suspensions of single-walled carbon nanotube (SWCNT) and multi-walled carbon nanotube (MWCNT) in engine oil (EO) have been accounted to enhance thermal performance. Suitable similarity transformation has been incorporated to reduce the proposed model equations into a dimensionless system of ordinary differential equations. Galerkin finite element method has been employed to numerically solve the system. Comparison of velocity, thermal and concentration profiles of mono and hybrid nanofluids has been studied using graphs and tables. It is concluded that the velocity and thermal profiles of hybrid nanofluid dominate over the nanofluid whereas the opposite behaviour is followed by concentration profile. Velocity and temperature decrease with velocity slip parameter and Soret number whereas mass distribution escalates. Opposite behaviour has been observed for Dufour number. Maximum increment in heat transfer has been observed for the Dufour number which is approximately 31%. Analogy between the results obtained in this study and already published work has been established. [ABSTRACT FROM AUTHOR]

In this paper, we study scheduling with step-learning, i.e., a setting where the processing times of the jobs started after their job-dependent learning-dates are reduced. The goal is to minimize makespan on a single machine. We focus first on the case that idle times between consecutive jobs are not allowed. We prove that the problem is NP-hard, implying that no polynomial-time solution exists and, consequently, propose a pseudo-polynomial time dynamic programming algorithm. An extensive numerical study is provided to examine the running time of the algorithm with different learning-dates and job processing time ranges. The special case of a common learning-date for all the jobs is also studied, and a (more efficient) pseudo-polynomial dynamic programming is introduced and tested numerically. In the last part of the paper, the more complicated setting in which idle times are allowed is studied. An appropriate dynamic programming is introduced and tested as well. [ABSTRACT FROM AUTHOR]

The classification of tumors is essential in the diagnosis and clinical management of patients with malignant neoplasms. The World Health Organization (WHO) provides a globally applicable classification scheme of neoplasms and it was updated several times. In this review, we briefly outline the cornerstones of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours on lymphoid neoplasms. As is adopted throughout the 5th edition of the WHO classification of tumors of all organ systems, entities are listed by a hierarchical system. For the first time, tumor-like lesions have been included in the classification, and modifications of nomenclature for some entities, revisions of diagnostic criteria or subtypes, deletion of certain entities, and introduction of new entities are presented along with mesenchymal lesions specific to the stroma of lymph nodes and the spleen. In addition to specific outlines on constitutional and somatic genetic changes associated with given entities, a separate chapter on germline predisposition syndromes related to hematologic neoplasms has been added. [ABSTRACT FROM AUTHOR]

China has been experiencing below-replacement fertility rates for decades prompting concerns about the rapid aging of the population and a dwindling labour supply. This paper examines the effects of micro-level and macro-level factors on fertility intentions in China from 2010 to 2021. The analyses utilize repeated cross-sectional data from the nationally representative Chinese General Social Survey, focusing on adults of childbearing age. A multilevel logistic regression approach is employed. The findings indicate that economic status, at both the individual and provincial levels, significantly shapes individuals' intentions regarding having two or more children. Those with higher individual economic status are more inclined to have multiple children, while individuals residing in provinces with higher mean incomes are less likely to have two or more children compared to those in provinces with lower mean incomes. Notably, the long-term impact of the one-child policy on intentions to have two or more children is particularly pronounced for urban residents and individuals from provinces that rigorously implemented the one-child policy. Additionally, the study identifies spatial differentiation in fertility intentions. [ABSTRACT FROM AUTHOR]

Dental, oral, and craniofacial diseases jeopardize health and reduce the quality of life. Accessing disease-related signals in advance is beneficial to prevent the occurrence or progression of those diseases. However, the inconvenience of periodical in-hospital examinations and the difficulty of sustaining daily health monitoring challenge personal compliance and possibly lead to limited prevention or treatment. Medical flexible electronics are electric devices fabricated on soft and extensible substrates to fit the human skin and enable non-invasive continuous monitoring of biophysical/biochemical signals. They provide the possibility of long-term, continuous, comfortable, and wireless healthcare monitoring and are expected to alleviate time and economic consumption by avoiding in-hospital examinations and treatment. Therefore, flexible electronics have emerged for early diagnosis and disease monitoring in stomatology. It is noteworthy that special biophysical/biochemical characteristics and the environment of dental, oral, and craniofacial areas bring distinct challenges that flexible electronics need to address ingeniously to ensure their stability, selectivity, and sensitivity. This review summaries flexible electronics and their specificity when used in dental, oral, and craniofacial applications, including monitoring saliva or cavity-gas related biosignals, sensing the mechanical fluctuation from facial muscle/respiratory activities or orthodontic forces, and executing special functions in the prevention or postoperative recovery of relevant diseases. Furthermore, after analyzing current challenges and proposing potential solutions, the "5I" principles of imperceptibility, intelligence, individualization, integration, and inexpensiveness are presented to help guide the future development of flexible electronics and promote their commercialization for dental, oral, and craniofacial medicine. [ABSTRACT FROM AUTHOR]

Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process. It carefully followed the essential steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, as well as Okoli's (Okoli in Commun Assoc Inf Syst, 2015) steps for conducting a rigorous and transparent systematic review. In this review, we aimed to explore how students and teachers have utilized ChatGPT in various educational settings, as well as the primary findings of those studies. By employing Creswell's (Creswell in Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook], Pearson Education, London, 2015) coding techniques for data extraction and interpretation, we sought to gain insight into their initial attempts at ChatGPT incorporation into education. This approach also enabled us to extract insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of this review show that learners have utilized ChatGPT as a virtual intelligent assistant, where it offered instant feedback, on-demand answers, and explanations of complex topics. Additionally, learners have used it to enhance their writing and language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, learners turned to it as an aiding tool to facilitate their directed and personalized learning by assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. However, the results of specific studies (n = 3, 21.4%) show that overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners. Educators, on the other hand, have utilized ChatGPT to create lesson plans, generate quizzes, and provide additional resources, which helped them enhance their productivity and efficiency and promote different teaching methodologies. Despite these benefits, the majority of the reviewed studies recommend the importance of conducting structured training, support, and clear guidelines for both learners and educators to mitigate the drawbacks. This includes developing critical evaluation skills to assess the accuracy and relevance of information provided by ChatGPT, as well as strategies for integrating human interaction and collaboration into learning activities that involve AI tools. Furthermore, they also recommend ongoing research and proactive dialogue with policymakers, stakeholders, and educational practitioners to refine and enhance the use of AI in learning environments. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field. [ABSTRACT FROM AUTHOR]

The current study investigates the impact of biosurfactant (sophorolipids, SL) concentrations (0.1 to 1 g kg−1) on the removal of cadmium (29 mg kg−1) from soil using Bidens pilosa. The results showed that increasing concentrations of SL increased the plant biomass. The dry weight of plants was 0.87 g, 0.77 g, 0.65 g, 0.85 g, 0.91 g, 0.92 g, 1.06 g in control, SL0 (No SL), SL1 (0.1 g kg−1), SL2 (0.25 g kg−1), SL3 (0.5 g kg−1), SL4 (0.75 g kg−1), and SL5 (1 g kg−1), respectively. It was observed that root length was higher in SL augmented soil in comparison to treatments without SL. It was also found that, with increasing the SL concentration, total chlorophyll and proline concentrations increased as well. The SL2 treatment had the highest Cd accumulation (76.33 µg pot−1) in the plant. Therefore, SL at 0.25 g kg−1 was considered the most effective concentration for the phytoextraction of Cd from soil. Soil enzyme activities, i.e., alkaline phosphatase, dehydrogenase, and urease activity, increased with the increase in SL concentration. The results of this study concluded that SL promotes the removal of Cd from soil and supports plant growth as well as enzymatic activities in soil. [ABSTRACT FROM AUTHOR]

In this study, using the first-principles calculation we presented a new field of materials concerning the transparent conducting halide perovskites CsGeX3 (X = Cl, I, Br) in the phases: ideal cubic, S-cubic, D-cubic, and tetragonal. The study aimed to explore and investigate the most mechanical stable state by calculating the elastic constant C ij . Our findings indicated that the preferential ground state mechanical stability is the non-magnetic state. On analysis of optical properties, we found high optical transmission practically ~ 80%. Electrical conductivity is also high, and the figure of merit is close to ~ 1. Based on the results obtained from theoretical DFT calculation, it is proposed that these materials may be an appropriate candidate for photovoltaic and other optoelectronic device applications. As they have high coefficients, low reflection, and strong optical conductivity at the UV–Vis range which are crucial for designing a transparent conducting material for possible technological applications. [ABSTRACT FROM AUTHOR]

The omnipresence of the digital ecosystem makes it increasingly important in our societies, which implies that the analysis and study of the digital battlefield in political elections is also becoming more necessary to protect our democracies. Previous literature showed the existence of information operations around the world, designed to manipulate the political perception of citizens, and therefore, the electoral results. This paper examines the Twitter conversation around #14F 2021 Catalonia regional elections, which had special significance due to the pandemic situation and the highly polarized scenario around Catalonia and Spain, using tools and techniques from Big Data Analytics and Artificial Intelligence. The results obtained show that the conversation existed inside robust echo chambers within each political party community, which became even more powerful if parties are unified into political affinity blocks. Also, focusing on the analysis related to the social bot presence, a significant quantity of results showed a higher presence of social bots in VOX party community compared to the rest of communities. This study corroborates other existing studies regarding the Catalan and Spanish scenario on the presence of echo chambers and on the existence of social bots with their tendency to basically amplify content; it also uncovers the lack of existence of cross-conversation between the independentist and unionist political block claimed in other studies. [ABSTRACT FROM AUTHOR]

Social networks are popular for advertising, idea sharing, and opinion formation. Due to COVID-19, coronavirus information disseminated on social media affects people's lives directly. Individuals sometimes managed it well, but it often hampered daily activities. As a result, analyzing people's feelings is important. Sentiment analysis identifies opinions or sentiments from text. In this paper, we present an effective model that leverages the benefits of Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to categorize Arabic tweets using a stacked ensemble learning model. First, the tweets are represented as vectors using a word embedding model, then the text feature is extracted by CNN, and finally the context information of the text is acquired by BiLSTM. Aravec, FastText, and ArWordVec are employed separately to assess the impact of the word embedding on the our model. We also compare the proposed method to various deep learning models: CNN, LSTM, and BiLSTM. Experiments are performed on three different Arabic datasets related to COVID-19 and vaccines. Empirical findings show that the proposed model outperformed the other models' results by achieving F-measures of 76.76%, 87.%, and 80.5% on the SenWave, AraCOVID19-SSD, and ArCovidVac datasets, respectively. [ABSTRACT FROM AUTHOR]

One of the factors significantly influencing the flow structures and vortices formed on delta wings is the shape of the leading edge. This study examined the impact of needle vortex generators, inspired by owl wings, on the flow characteristics over a slender delta wing with a sweep angle of 65° to improve its aerodynamic performance. These nature-inspired vortex generators were designed to apply no additional flow blockage or drag force. Flow visualization tests were conducted in a smoke tunnel to gain deeper insights into the effects of the vortex generators on the flow physics over the delta wing. The experiments were performed at three angles of attack of 10°, 15°, and 20° and a flow velocity of 2.6 m/s on two delta wings, with and without needle vortex generators at the leading edge and a Reynolds number of Re = 2.6 × 10 4 . Flow visualization was conducted on six longitudinal sections, six transverse sections, one-floor surface section, and one leading edge section at three different angles of attack. In addition, the investigation involved assessing the vortex breakdown location and wake region. The formation of the vortices and the effects of the needle vortex generators on the temporal and instantaneous flow structures and vortices were also investigated. The results suggested that the use of the needle vortex generators along the leading edge of the delta wing made the vortices smaller and closer to the wing surface and wing axis, postponed the vortex breakdown by approximately 13% of the chord length, and decreased the fluctuations of vortex breakdown location. In addition, the use of needle vortex generators eliminated the secondary vortices. [ABSTRACT FROM AUTHOR]

The entitled review aimed to assemble and highlight the synthetic approaches and biological aspects of heterocycles with pyridodipyrimidine motifs. The recent synthetic approaches were categorized according to the accomplishments of the approaches under catalyst or catalyst-free conditions. The topic involved the synthesis of substituted tricyclic systems and spirocyclic systems. The present study offered an overview of the recent literature in addition to a scope of the preceding literature. The proposed mechanisms of the varied target products were discussed. Pyridodipyrimidine displayed potential and privileged cytotoxic, antioxidant, and antimicrobial performances. The competitions, challenges, and prospects are also deliberated. [ABSTRACT FROM AUTHOR]

Objective: Synthesis of some new coumarin-thiazolidine-2,4-dione-1,2,3-triazoles and evaluation of their anti-lung cancer activity. Methods: Well-known reaction like Knoevenagel condensation and Cu (I) catalyzed azide-alkyne cycloaddition were used. MTT assay was used in anticancer activity. Autodock tools were used foe docking studies. Results and Discussion: The fourteen compounds were screened against A549 and NCI-H460 and compared with Doxorubicin. In addition to this tubulin polymerization inhibition assay and docking studies were performed on some active compounds. Conclusions: Synthesized some new 1,2,3-triazole hybrids and tested their anticancer activity and screened for binding interaction with tubulin. Some of the compounds were found active. [ABSTRACT FROM AUTHOR]