Chemical Profiling, in-vitro biological evaluation and molecular docking studies of Ruellia tweediana: An unexplored plant.

Many Ruellia species have been utilized in traditional medicine and despite the prevalent use of Ruellia tweediana in folk medicine, its antioxidant potential and polyphenol content have not been investigated. Therefore, the present study aimed to explore the medicinal value of R. tweediana by evaluating its total phenolic (TPC) and flavonoid contents (TFC), GC-MS analysis, antioxidant, antibacterial, and enzyme inhibition activities. The TPC and TFC of the extract/fractions were assessed using the Folin-Ciocalteu and aluminum trichloride methods, respectively. To determine the antioxidant capacity, five different assays were used: DPPH, ABTS, CUPRAC, FRAP, and metal chelating assays. The inhibition activity against α-glucosidase, α-amylase, cholinesterases, and lipoxygenase enzymes was also analyzed. Furthermore, GC-MS was performed for chemical screening of non-polar fraction. The methanol extract showed the maximum TPC (167.34 ± 2.23 mg GAE/g) and TFC (120.43 ± 1.71 mg RE/g) values among all the tested samples. GC-MS screening of the n-hexane fraction showed the presence of 40 different phytoconstituents. The results demonstrated the highest scavenging potential of the methanol extract against DPPH (167.79 ± 2.75 mg TE/g) and ABTS (255.32 ± 2.91 mg TE/g) radicals, as well as the metal-reducing capacity measured by CUPRAC (321.34 ± 3.09 mg TE/g), FRAP (311.32 ± 2.91 mg TE/g), and metal chelating assay (246.78 ± 10.34 mg EDTAE/g). Notably, the n-hexane fraction revealed the highest α-glucosidase and α-amylase inhibition activity (186.8 ± 2.84 and 179.7 ± 4.32 mg ACAE/g, respectively) while methanol extract showed highest acetylcholinesterase and butyrylcholinesterase inhibition activity (198.6 ± 3.31 and 184.3 ± 2.92 mg GALE/g, respectively). The GC-MS identified Lupeol showed best binding affinity with all docked enzymes as compared to standard compounds. The presence of bioactive phytoconstituents showed by GC-MS underscores the medicinal importance of R. tweediana, making it a promising candidate for natural medicine.

Cancer Chemoresistance; Recent Challenges and Future Considerations.

Cancer remains one of the serious health hazards and major causes of human mortality across the world. Despite the development of many typical antineoplastic drugs and introduction of novel targeted agents, chemoresistance constitutes a major challenge in the effective therapeutic management of cancer. Drug inactivation, efflux of anticancer agents, modification of target sites, enhanced repair of DNA damage, apoptosis failure and induction of epithelial-mesenchymal transition are the principal mechanisms of cancer chemoresistance. Moreover, epigenetics, cell signaling, tumor heterogeneity, stem cells, microRNAs, endoplasmic reticulum, tumor microenvironment and exosomes have also been implicated in the multifaceted phenomenon of anticancer drug resistance. The tendency of resistance is either intrinsically possessed or subsequently acquired by cancerous cells. From clinical oncology standpoint, therapeutic failure and tumor progression are the most probable consequences of cancer chemoresistance. Combination therapy can help to overcome the issue of drug resistance, and therefore, the development of such treatment regimens is recommended for counteracting the emergence and dissemination of cancer chemoresistance. This chapter outlines the current knowledge on underlying mechanisms, contributory biological factors and likely consequences of cancer chemoresistance. Besides, prognostic biomarkers, diagnostic methods and potential approaches to overcome the emergence of antineoplastic drug resistance have also been described.

Self-reported Vocal symptoms among speech language pathologists dealing with children with hearing impairment and cerebral palsy.

A cross-sectional study was conducted at the Ripah International University, Lahore, Pakistan from January to April, 2022 to evaluate and compare the Self-Reported Vocal symptoms among Speech Language Pathologists (SLP) practicing with children having Hearing Impairment (HI) and Cerebral Palsy (CP). The sample included 141 participants of both genders, aged 25 to 60 years, practicing with children with hearing impairment and cerebral palsy for at least one year. Vocal Tract Discomfort Scale (VTDS) and Voice Activity Participation Profile (VAPP) were utilised for data collection which was analysed using SPSS Ver-23. The study revealed no significant association of self-perceived vocal symptoms for SLPs catering to CP and HI children with p=0.303 and p=0.412 for VTDS and VAPP scores respectively and with higher mean scores for SLPs catering to CP children. Results revealed a total VTDS score of 40.26±13.10 with highest score for dryness, while highest VAPP mean score was noted for daily communication (53.82±23.20). Hence, there is no significant association of the speciality being catered to, while dryness is the commonest self-perceived symptom.

Weight variation increases the risk of death during the intensive phase of treatment among MDR-TB patients: A retrospective study.

Objective: To estimate the predictors of death during intensive phase of Multidrug resistant tuberculosis treatment according to the weight of patients at the time of diagnosed. Methods: A retrospective study was conducted at three public hospitals in the Lahore, Punjab region, namely Jinnah Hospital, Mayo Hospital and Gulab Devi Hospital on 1,496 patients receiving treatment for MDR-TB from January 2018 to December 2020. Data were collected from electronically nominating and recording system of the hospitals. Data were fitted to Cox proportional hazards regression model with 95% confidence interval (CI) to evaluate the associations between predictors of death and weight of MDR-TB patients during the intensive phase of treatment. Results: This analysis revealed a MDR-TB mortality rate of 30% and the mortality rate due to MDR-TB during the intensive phase of treatment was 23%. The variables related to increased mortality among underweight patients were age more than 60 years (HR: 0.398, 95% CI: 0.314-0.504) , diabetes (HR: 1.496, 95% CI: 1.165-1.921), current smoking (HR: 0.465, 95% CI: 0.222-0.973), history of MDR-TB (HR: 0.701, 95% CI: 0.512-0.959) and culture positive at the time of diagnosed (HR: 0.499, 95% CI: 0.379-0.659) during the intensive phase of treatment. Conclusion: The high mortality rate among the underweight MDR-TB patients during the intensive phase of the treatment requires the nutritional support for malnourishment and ensured a close follow-up of the elderly patients with co-morbidities as well as family history of Tuberculosis.

An Effective Color Image Encryption Based on Henon Map, Tent Chaotic Map, and Orthogonal Matrices.

In the last decade, the communication of images through the internet has increased. Due to the growing demands for data transfer through images, protection of data and safe communication is very important. For this purpose, many encryption techniques have been designed and developed. New and secured encryption schemes based on chaos theory have introduced methods for secure as well as fast communication. A modified image encryption process is proposed in this work with chaotic maps and orthogonal matrix in Hill cipher. Image encryption involves three phases. In the first phase, a chaotic Henon map is used for permuting the digital image. In the second phase, a Hill cipher is used whose encryption key is generated by an orthogonal matrix which further is produced from the equation of the plane. In the third phase, a sequence is generated by a chaotic tent map which is later XORed. Chaotic maps play an important role in the encryption process. To deal with the issues of fast and highly secured image processing, the prominent properties of non-periodical movement and non-convergence of chaotic theory play an important role. The proposed scheme is resistant to different attacks on the cipher image. Different tests have been applied to evaluate the proposed technique. The results of the tests such as key space analysis, key sensitivity analysis, and information entropy, histogram correlation of the adjacent pixels, number of pixel change rate (NPCR), peak signal to noise ratio (PSNR), and unified average changing intensity (UCAI) showed that our proposed scheme is an efficient encryption technique. The proposed approach is also compared with some state-of-the-art image encryption techniques. In the view of statistical analysis, we claim that our proposed encryption algorithm is secured.

A case of congenital methaemoglobinaemia with secondary polycythemia.

Haemoglobin contains iron in a ferrous form. When the iron is oxidized, it is called Methaemoglobin (MetHb). MetHb leads to tissue hypoxia, cyanosis, and secondary polycythemia. Methaemoglobinaemia is acquired or congenital. In this case, a 22-years-old male patient presented with cyanosis, headache, and lack of concentration. Cyanosis was present since birth. His previous investigations showed polycythemia. He was misdiagnosed on multiple occasions and was undergoing venesections for polycythemia. On evaluation at a private clinic, an Oxygen saturation gap was noted between the results of the pulse oximeter and arterial blood gas analyzer. This raised suspicion on the presence of MetHb. He was referred to Armed Forces Institute of Pathology, Rawalpindi for further workup.The sample obtained for MetHb was chocolate brown in colour. Analysis was done via co-oximetry. A high level of MetHb (45.6%) was obtained. All other radiological and haematological investigations were in the normal range. On the basis of history, clinical presentation, and investigations, he was diagnosed as a case of congenital methaemoglobinaemia with secondary polycythemia.

Microwave-assisted synthesis of carbon dots as reductant and stabilizer for silver nanoparticles with enhanced-peroxidase like activity for colorimetric determination of hydrogen peroxide and glucose.

A carbon silver nano-assembly was prepared from silver nanoparticles and carbon dots (AgNP@CD). It was used to quantify hydrogen peroxide and glucose by UV-visible spectroscopy. Banana peels were used to prepare the CDs by a microwave-assisted method. The CDs can be prepared within 5 min at 700 W. They act as (a) substrate, (b) stabilizer, and (c) reductant to convert silver ions to AgNPs. The nano-assembly was characterized by UV-visible spectroscopy, Fourier-transform infrared spectroscopy, atomic force microscopy, and transmission electron microscopy. The CDs have a particle size of 1.4 nm. Photoexcitation of the CDs with a UV lamp of 365 nm results in blue fluorescence. The absorption spectra of the CDs show a peak at 205 nm along the wide shoulder absorption band. On incorporation of the Ag nanoparticles into the CDs matrix, the color of the CDs turns into yellow and an additional absorbance peak at 408 nm appears. FTIR spectroscopy shows that different functional groups are present on the CDs. They are responsible for the stabilization of the AgNPs. On exposure to H2O2, the color of the nano-assembly disappears gradually. Hence, the assembly can be used as a colorimetric indicator probe for H2O2 with a linear response in the 0.1-100 µM concentration range. It can also be applied to the determination of glucose by using glucose oxidase which causes the formation of H2O2 from glucose. The linear response ranges from 1- 600 µM. The detection limits for H2O2 and glucose are 9 nM and 10 nM, respectively. In our perception, this is the lowest detection limit reported so far. The AgNP@CD nano-assembly does not respond to saccharides, maltose, fructose, and lactose. It can be used to quantify glucose in diluted blood plasma. Graphical abstractSchematic representation of microwave-assisted synthesis of AgNP@CDs with enhanced-peroxidase like activity for colorimetric determination of hydrogen peroxide and glucose.

Biodiesel production from algae grown on food industry wastewater.

Algae have an ample potential to produce biodiesel from spent wash of food industry. In addition, it is cheaper and presents an environment friendly way to handle food industry wastewater. This study was conducted to optimize the growth of microalgal strains and to assess biodiesel production potential of algae using untreated food industry wastewater as a source of nutrients. The food industry wastewater was collected and analyzed for its physicochemical characteristics. Different dilutions (10, 20, 40, 80, and 100%) of this wastewater were made with distilled water, and growth of two microalgal strains (Cladophora sp. and Spyrogyra sp.) was recorded. Each type of wastewater was inoculated with microalgae, and biomass was harvested after 7 days. The growth of both strains was also evaluated at varying temperatures, pH and light periods to optimize the algal growth for enhanced biodiesel production. After optimization, biodiesel production by Spyrogyra sp. was recorded in real food industry wastewater. The algal biomass increased with increasing level of food industry wastewater and was at maximum with 100% wastewater. Moreover, statistically similar results were found with algal growth on 100% wastewater and also on Bristol's media. The Cladophora sp. produced higher biomass than Spyrogyra sp. while growing on food industry wastewater. The optimal growth of both microalgal strains was observed at temperature 30 °C, pH: 8, light 24 h. Cladophora sp. was further evaluated for biodiesel production while growing on 100% wastewater and found that this strain produced high level of oil and biodiesel. Algae have an ample potential to produce biodiesel from spent wash of food industry. In addition, it is cheaper and presents an environment friendly way to handle food industry wastewater.

Factors associated with mortality to drug-resistant tuberculosis and their programmatic management in treatment centres of Punjab, Pakistan.

OBJECTIVE: To describe the characteristics and assess the factors of mortality in drug-resistant tuberculosis patients. METHODS: This retrospective study was conducted at 11 programmatic management of drug-resistant tuberculosis centres located in different cities of the Punjab province of Pakistan, and comprised record of patients with drug-resistant tuberculosis from January 2010 to September 2015. Data was retrieved from patient medical records using electronic nominal review system of the provincial tuberculosis control programme. Cox's proportional hazards model was performed to identify the factors for death. SPSS 17 was used for data analysis. RESULTS: Of the 1,136 patients, 472(41.5%) died during treatment and 664(58.5%) were declared cured or their treatment was completed. Of those who expired, 97(20.6%) expired within 3 months of the start of the treatment. Men had higher rates of death which was not significantly associated with the drug-resistant tuberculosis mortality (p>0.05). CONCLUSIONS: The number of patients who died from drug-resistant tuberculosis treatment was relatively high.

Prevalence and drug resistance pattern of MDR TB in retreatment cases of Punjab, Pakistan.

OBJECTIVE: To determine the prevalence and resistance pattern of multidrug-resistant tuberculosis. METHODS: This cross-sectional study was carried out from January 2010 to June 2014 in nine tertiary care hospitals implementing programmatic management of drug-resistant tuberculosis in Punjab, and comprised retreatment tuberculosis cases. Data was collected from the Electronic Nominal Review System. SPSS 17 was used for data analysis. RESULTS: Of the 1,250 cases, 861(69%) were of multidrug-resistant tuberculosis confirmed through drug sensitivity testing. The mean age was 32 (±13.5 SD) years. Besides, 664(53%) were males and 1,208(97%) resided in urban areas of Punjab. Multidrug-resistant tuberculosis was found to be more prevalent in the most productive age group, i.e. 15-45 years, with 709(57%) cases (p<0.05), in urban areas1, 208(97%) cases (p<0.05) and in the pulmonary site 852(68%) cases (p<0.05). Overall, 391(41%) cases showed resistance to all first-line anti-tuberculosis drugs while 239(28%) showed resistance to oral first-line drugs. Besides, 526(42%) cases showed resistance to fluoroquinolones and 650(52%) to second-line drugs. Of them, 420(81%), (p<0.05) patients showed highly significant resistance to fluoroquinolones and 26(5%) to ethionamide. CONCLUSIONS: There is a need to fully implement national tuberculosis guidelines with a focus on expansion and effective implementation of directly observed therapy short course in order to prevent further emergence of drug resistance.

Catalysts of digital excellence: Unraveling the threads of connectivity, embedment, and visibility in enterprise social media for enhanced task and innovative performances.

In an era characterized by rapid digital transformation, this research delves into the intricate dynamics of enterprise social media (ESM) ubiquitous connectivity, drawing on the influential framework of social cognitive theory (SCT), we unravel the complex relationships among compatibility, presenteeism, ESM-enabled embeddedness, and the visibility of digital interactions, shedding light on how these factors collectively shape task performance and innovative contributions in the contemporary hybrid work landscape. By incorporating SCT into our research model, we not only enhance the theoretical underpinning but also respond to the imperative of understanding how individual cognition and observational learning impact behaviors in digital work environments. Data is collected from 467 participants from China. Results indicated that ESM-enabled embeddedness mediates the connection between presenteeism and both digital-enabled task performance, digital-enabled innovative performance. Findings conformed that ESM-enabled embeddedness mediates the connection between compatibility and both digital-enabled task performance, digital-enabled innovative performance. ESM visibility strengthens the connection between ubiquitous connectivity (presenteeism, compatibility) and ESM-enabled embeddedness. In addition, results also indicated that ESM visibility moderates the mediation effect of ESM-enabled embeddedness between the dimensions of ESM ubiquitous connectivity (presenteeism) and both digital-enabled task performance, digital-enabled innovative performance. In contrast, ESM visibility did not moderates the mediation effect of ESM-enabled embeddedness between the dimensions of ESM ubiquitous connectivity (compatibility) and both digital-enabled task performance, digital-enabled innovative performance. This study not only contributes depth to ESM literature but also lays the groundwork for future research endeavors, encouraging exploration of diverse contexts and additional moderating factors to comprehensively grasp the intricate dynamics within modern digital workspaces.

Integrating the ESM usage and work engagement for employee agility performance: based on regulatory focus theory.

This present research aims to clarify the intricate conjunction of enterprise social media (ESM) utilization and employee agility with a main focus on uncovering the underlying mechanisms that work through the mediating influence of work engagement and the moderating influence of regulatory focus. Drawing upon regularity focus theory, 353 Chinese samples of ESM users in organizational contexts are analyzed using SPSS 23.0. The empirical findings substantiate a robust and significant positive linkage between ESM usage and worker agility. Further reinforcing the model, the mediating role of work engagement is established as it channels the impact of ESM usage on worker agility. Turning to the moderating effects, the study unveils the differential impact of prevention focus and promotion focus, wherein individuals with a lower prevention focus exhibit a more pronounced positive linkage between ESM usage and worker agility. Similarly, individuals with a higher promotion focus demonstrate a heightened positive association between ESM usage and worker agility. By comprehensively inspecting the intricate dynamics of ESM usage, work engagement, and regulatory focus, this study enhances our theoretical understanding of how these factors synergistically shape employee agility, ultimately furnishing organizations with invaluable insights to foster and cultivate an agile workforce.

Blockchain based medical image encryption using Arnold's cat map in a cloud environment.

Improved software for processing medical images has inspired tremendous interest in modern medicine in recent years. Modern healthcare equipment generates huge amounts of data, such as scanned medical images and computerized patient information, which must be secured for future use. Diversity in the healthcare industry, namely in the form of medical data, is one of the largest challenges for researchers. Cloud environment and the Block chain technology have both demonstrated their own use. The purpose of this study is to combine both technologies for safe and secure transaction. Storing or sending medical data through public clouds exposes information into potential eavesdropping, data breaches and unauthorized access. Encrypting data before transmission is crucial to mitigate these security risks. As a result, a Blockchain based Chaotic Arnold's cat map Encryption Scheme (BCAES) is proposed in this paper. The BCAES first encrypts the image using Arnold's cat map encryption scheme and then sends the encrypted image into Cloud Server and stores the signed document of plain image into blockchain. As blockchain is often considered more secure due to its distributed nature and consensus mechanism, data receiver will ensure data integrity and authenticity of image after decryption using signed document stored into the blockchain. Various analysis techniques have been used to examine the proposed scheme. The results of analysis like key sensitivity analysis, key space analysis, Information Entropy, histogram correlation of adjacent pixels, Number of Pixel Change Rate, Peak Signal Noise Ratio, Unified Average Changing Intensity, and similarity analysis like Mean Square Error, and Structural Similarity Index Measure illustrated that our proposed scheme is an efficient encryption scheme as compared to some recent literature. Our current achievements surpass all previous endeavors, setting a new standard of excellence.

Cell-free DNA as a potential diagnostic biomarker in academic stress: A case-control study in young adults.

Background: Stress is a pervasive issue in modern life, affecting both physical and mental health. Identifying biomarkers like cell-free DNA (cfDNA) could provide insights into stress response and help detect individuals at risk for stress-related disorders. Objective: The aim of this study is to investigate the potential use of cfDNA as a diagnostic biomarker in individuals experiencing stress. Methodology: A case-control analysis was conducted using convenient sampling on university participants (N = 285 cases, N = 500 controls) aged 18-24. The study assessed haematological and lipid profile parameters using the Sysmex XP-300TM automated analyzer and an automated biochemistry analyzer, and cfDNA was extracted using a standardized in house developed Phenol-Chloroform protocol and estimated using Agarose Gel Electrophoresis and Nanodrop. Statistical analysis was performed using SPSS ver. 21.0. Results: The results indicated a significant difference between stressed individuals and healthy controls in demographic, haematological and biochemical parameters. Specifically, stressed cases had significantly higher levels of cholesterol, LDL cholesterol, triglycerides, glucose, VLDL cholesterol, and lower levels of HDL compared to healthy controls. Stressed cases also showed significantly elevated levels of circulating cfDNA relative to healthy controls. Conclusion: These findings suggest that cfDNA may have potential as a diagnostic biomarker for stress.

Leveraging Multiomics Insights and Exploiting Wild Relatives' Potential for Drought and Heat Tolerance in Maize.

Climate change, particularly drought and heat stress, may slash agricultural productivity by 25.7% by 2080, with maize being the hardest hit. Therefore, unraveling the molecular nature of plant responses to these stressors is vital for the development of climate-smart maize. This manuscript's primary objective was to examine how maize plants respond to these stresses, both individually and in combination. Additionally, the paper delved into harnessing the potential of maize wild relatives as a valuable genetic resource and leveraging AI-based technologies to boost maize resilience. The role of multiomics approaches particularly genomics and transcriptomics in dissecting the genetic basis of stress tolerance was also highlighted. The way forward was proposed to utilize a bunch of information obtained through omics technologies by an interdisciplinary state-of-the-art forward-looking big-data, cyberagriculture system, and AI-based approach to orchestrate the development of climate resilient maize genotypes.

Oxidative synthesis of highly fluorescent boron/nitrogen co-doped carbon nanodots enabling detection of photosensitizer and carcinogenic dye.

Current research efforts have demonstrated the facile hydrothermal oxidative synthetic route to develop highly fluorescent boron/nitrogen co-doped carbon nanodots (CNDs). During this process, N-(4-hydroxyphenyl)glycine served as a source of N doping and a carbon precursor as well, while boric acid H3BO3 is used as an oxidizing agent in the N2 environment. Surface passivation through ultrasonic treatment of CNDs was performed to induce modifications by using various surface passivating agents. Polyethyleneimine (PEI) remarkably enhanced the fluorescence performance and monodispersity of polymerized carbon nanodots (P-CNDs) in aqueous phase with an enhanced quantum yield of 23.71%, along with an increase in size from ~3 nm to ~200 nm. For characterization of CNDs and P-CNDs, UV, infrared, photoluminescence, transmission electron microscopy, x-ray photoelectron spectra, and atomic force microscopy techniques were utilized. Application potentials of synthesized P-CNDs were developed via introduction of protoporphyrin (PPD, a photosensitizer) which has great doping affinity with polymer PEI to switch-off the fluorescence of P-CNDs, leading to the production of dye-doped nanoprobes. Fluorescence resonance energy transfer (FRET) was also observed during dye-doping, and PPD was detected with a limit of detection (LOD, 3σ) of 15 pM. The fluorescence recovery of this switched-off nanoprobe was made possible by using Sudan red III (carcinogenic dye), which was oxidized by PPD doped in P-CNDs. Sudan red III was detected in the concentration range of 9.9 pM-0.37 nM. Meanwhile, it was also confirmed that the dye-doped nanoprobe is highly selective and exceptionally sensitive to detect this carcinogenic agent in commercial products with a LOD (3σ) of 90 fM.

Facile synthesis of gold nanocages with silver nanocubes templates dual metal effects enabled SERS imaging and catalytic reduction.

Silver (Ag) nanomaterials featuring a cubic shape particularly represent supreme class of advance nanomaterials. This work explored a new precursor and its effect on morphological features of silver (Ag) nanocubes (NCs) serving as sacrificial templates for facile synthesis of gold NCs. The AgNCs were initially prepared utilizing sodium thiosulphate (Na2S2O3) as relatively stable S2- producing species along with a soft etchant source KCl. The effects of different potassium halides were evaluated to grasp control over seed mediated growth of Ag nanocubes. Taking the advantages of dual metallic properties, Ag@4MBA@AuNCs nanostructure was synthesized using 4-mercaptobenzoic acid (4MBA) as a Raman reporter molecule. This nanostructure showed 1010-times enhancement in surface enhanced Raman scattering (SERS) signal, leading to a highly sensitive imaging probe for the detection of even three breast cancer cells (MCF-7 cells) in vitro. Subsequently, the oxidative nanopeeling well accompanied by incorporation of Au/Ag alloy nanoparticles on AuNCs corona assembly was achieved, which facilitated the catalytic reduction of toxic nitrophenol to eco-friendly aminophenol. Such sophisticated and engineered nanoassemblies possess broad applications in bioanalysis.

A message recovery attack on multivariate polynomial trapdoor function.

Cybersecurity guarantees the exchange of information through a public channel in a secure way. That is the data must be protected from unauthorized parties and transmitted to the intended parties with confidentiality and integrity. In this work, we mount an attack on a cryptosystem based on multivariate polynomial trapdoor function over the field of rational numbers Q. The developers claim that the security of their proposed scheme depends on the fact that a polynomial system consisting of 2n (where n is a natural number) equations and 3n unknowns constructed by using quasigroup string transformations, has infinitely many solutions and finding exact solution is not possible. We explain that the proposed trapdoor function is vulnerable to a Gröbner basis attack. Selected polynomials in the corresponding Gröbner basis can be used to recover the plaintext against a given ciphertext without the knowledge of the secret key.

Effect of Mn Doped on Structural, Optical, and Dielectric Properties of BiFe1-xMnxO3 for Efficient Antioxidant Activity.

Manganese-doped bismuth ferrites were synthesized using the coprecipitation method with the green extract Azadirachta indica. Our incorporation of the transition element, manganese, into bismuth ferrites tackles the challenge of increased leakage current often observed in intrinsic bismuth ferrites. We gained key insights through a comprehensive examination of the structural, dielectric, and optical properties of these materials, utilizing Fourier transform infrared spectroscopy (FTIR), impedance spectroscopy, and UV-visible spectroscopy, respectively. The formation of an octahedral geometry was confirmed using the FTIR technique. UV-visible spectroscopy indicated that 2% Mn doping is optimal, while we obtained a low band gap energy (2.21 eV) and high refractive index (3.010) at this amount of doping. The manufactured materials exhibited the typical ferrite-like dielectric response, that is, the dielectric parameter gradually decreased as the frequency increased and then stayed constant in the high-frequency range. Using the diphenylpicrylhydrazyl (DPPH) free radical assay, we also examined the antioxidant activity of bismuth ferrites. We concluded that among different Mn-doped BiFeMnO3-based nanomaterials, the 2 wt % Mn-doped BiFeMnO3 shows the highest antioxidant activity. This finding substantiates the efficacy of the optimized material with regard to its potent antioxidant activity, positioning it as a promising candidate for potential biomedical applications.

Responses of maize hybrids to water stress conditions at different developmental stages: accumulation of reactive oxygen species, activity of enzymatic antioxidants and degradation in kernel quality traits.

Sustainable maize production under changing climatic conditions, especially heat and water stress conditions is one of the key challenges that need to be addressed immediately. The current field study was designed to evaluate the impact of water stress on morpho-physiological, biochemical, reactive oxygen species, antioxidant activity and kernel quality traits at different plant growth stages in maize hybrids. Four indigenous i.e., YH-5427, YH-5482, YH-5395, JPL-1908, and one multinational maize hybrid i.e., NK-8441 (Syngenta Seeds) were used for the study. Four stress treatments (i) Control (ii) 3-week water stress at pre-flowering stage (iii) 3-week water stress at anthesis stage (iv) 3-week water stress at grain filling/post-anthesis stage. The presence of significant oxidative stress was revealed by the overproduction of reactive oxygen species (ROXs) i.e., H2O2 (1.9 to 5.8 µmole g-1 FW) and malondialdehyde (120.5 to 169.0 nmole g-1 FW) leading to severe negative impacts on kernel yield. Moreover, a severe reduction in photosynthetic ability (50.6%, from 34.0 to 16.8 µmole m-2 s-1), lower transpirational rate (31.3%, from 3.2 to 2.2 mmol m-2 s-1), alterations in plant anatomy, reduced pigments stability, and deterioration of kernel quality was attributed to water stress. Water stress affected all the three studied growth stages, the pre-flowering stage being the most vulnerable while the post-anthesis stage was the least affected stage to drought stress. Antioxidant activity was observed to increase under all stress conditions in all maize hybrids, however, the highest antioxidant activity was recorded at the anthesis stage and in maize hybrids YH-5427 i.e., T-SOD activity was increased by 61.3% from 37.5 U mg-1 pro to 60.5 U mg-1 pro while CAT activity was maximum under water stress conditions 8.3 U mg-1 pro as compared to 10.3 U mg-1 pro under control (19.3%). The overall performance of maize hybrid YH-5427 was much more promising than other hybrids, attributed to its higher photosynthetic activity, and better antioxidant defense mechanism. Therefore, this hybrid could be recommended for cultivation in drought-prone areas.