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Pakistan has significant geothermal potential but due to poor energy management and low utilization of rich geothermal energy, the country is ranked among the energy deficient nations in the world. In this study, integrated geophysical techniques were used to assess the geothermal energy potential of various hot springs in the Sindh province. The study revealed that Naing Shareef and Gaji Shah hot springs have remarkable potential for geothermal energy having pool water temperature of 43 °C and 45 °C, respectively. Geophysical resistivity survey was carried out at both Naing Shareef and Gaji Shah hot spring to determine depth, thickness and quality of thermal water. At Naing Shareef hot spring, only a single thermal aquifer zone has been pinpointed within the shale composition of the Oligocene Nari Formation, and it is on average 55.07 m depth and 29.8 m thick. At an average depth of 100.66 m and an aquifer thickness of 77.03 m, the Gaji Shah hot springs exclusively possess a thermal aquifer region established within the sandstone composition of the Oligocene Nari Formation.

Abstract Herbs have been used as medicines since antiquity, and it has been discovered that the human body responds well to herbal remedies. Research on the effect of butin was conducted in the current study in the alloxan-induced diabetic rat paradigm. A total of 30 Wistar rats were randomly assigned into the following groups (n = 6): I-Normal; II-Alloxan-induced (50 mg/kg); III-Alloxan + butin 25 mg/kg; IV-Alloxan + butin 50 mg/kg; V-Butin per se 50 mg/kg. Various diabetic parameters (blood glucose, insulin, HbA1c), lipid profile, inflammatory (TNF-α, IL-1β, IL-6 and NF-κB), antioxidant enzymes (CAT, SOD and GSH), oxidative stress indicators (MDA), apoptosis marker (caspase-3), hepatic markers (ALT and AST), and histopathological changes were assessed. Additionally, molecular docking and dynamics were performed to evaluate the interaction of butin with target proteins. Butin treatment, at both doses, significantly restored biochemical parameters and preserved pancreatic histopathology in diabetic rats. It effectively modulated blood parameters, lipid profiles, inflammatory markers, apoptosis, antioxidant enzyme activity, oxidative stress, and hepatic markers. Molecular docking revealed that butin binds to proteins such as caspase-3 (1NME), NF-κB (1SVC), and serum insulin (4IBM) with binding affinities of − 7.4, − 6.5, and − 8.2 kcal/mol, respectively. Molecular dynamics simulations further suggested that butin induces significant conformational changes in these proteins. Butin exhibits potential effects against alloxan-induced diabetic rats by restoring biochemical balance, reducing inflammation, and protecting pancreatic tissue. Its binding to key proteins involved in apoptosis and inflammation highlights its therapeutic potential in diabetes management.

Mixed ionic-electronic conductors (MIECs) play a crucial role in the landscape of energy conversion and storage technologies, with a pronounced focus on electrode materials’ application in solid oxide fuel cells (SOFCs) and proton-conducting ceramic fuel cells (PCFCs). In parallel, the emergence of semiconductor ionic materials (SIMs) has introduced a new paradigm in the field of functional materials, particularly for both electrode and electrolyte development for low-temperature, 300–550 ​°C, SOFCs, and PCFCs. This review article critically delves into the intricate mechanisms underpinning the synergistic relationship between MIECs and SIMs, with a particular emphasis on elucidating the fundamental working principles of semiconductor ionic membrane fuel cells (SIMFCs). By exploring critical facets such as ion-coupled electron transfer/transport, junction effect, energy bands alignment, and theoretical computations, it casts an illuminating spotlight on the transformative potential of MIECs, also involving triple charge conducting oxides (TCOs) in the context of SIMs and advanced fuel cells (FCs). The insights and findings articulated herein contribute substantially to the advancement of SIMs and SIMFCs by tailoring MIECs (TCOs) as promising avenues toward the emergence of high-performance SIMFCs. This scientific quest not only addresses the insistent challenges surrounding efficient charge transfer, ionic transport and power output but also unlocks the profound potential for the widespread commercialization of FC technology.

In the contemporary technological landscape, ensuring confidentiality is a paramount concern addressed through various skillsets. Cryptography stands out as a scientific methodology for safeguarding communication against unauthorized access. Within the realm of cryptography, numerous encryption algorithms have been developed to enhance data security. Recognizing the imperative for nonstandard encryption algorithms to counter traditional attacks, this paper puts forth novel encryption techniques. These methods leverage special corona graphs, star graphs, and complete bipartite graphs, incorporating certain algebraic properties to bolster the secure transmission of messages. The introduction of these proposed encryption schemes aims to elevate the level of security in confidential communication, some of the applications of these schemes are given in the later section.

Objective Data-driven methodologies in healthcare necessitate labeled data for effective decision-making. However, medical data, particularly in unstructured formats, such as clinical notes, often lack explicit labels, making manual annotation challenging and tedious. Methods This paper introduces a novel deep active learning framework designed to facilitate the annotation process for multiclass text classification, specifically using the SOAP (subjective, objective, assessment, plan) framework, a widely recognized medical protocol. Our methodology leverages transformer-based deep learning techniques to automatically annotate clinical notes, significantly easing the manual labor involved and enhancing classification performance. Transformer-based deep learning models, with their ability to capture complex patterns in large datasets, represent a cutting-edge approach for advancing natural language processing tasks. Results We validate our approach through experiments on a diverse set of clinical notes from publicly available datasets, comprising over 426 documents. Our model demonstrates superior classification accuracy, with an F1 score improvement of 4.8% over existing methods but also provides a practical tool for healthcare professionals, potentially improving clinical documentation practices and patient care. Conclusions The research underscores the synergy between active learning and advanced deep learning, paving the way for future exploration of automatic text annotation and its implications for clinical informatics. Future studies will aim to integrate multimodal data and large language models to enhance the richness and accuracy of clinical text analysis, opening new pathways for comprehensive healthcare insights.

Background: Type 2 diabetes mellitus (T2DM) is defined by a wide variety of metabolic abnormalities, persistent hyperglycemia, and a slew of other complications. Catharanthus roseus L. (apocyanaceae), remarkably notable as Vinca Rosea, appears to be the source of the active component hirsutidin, which is reported in various diseases. Objective: The study intended to appraise the antidiabetic capability of hirsutidin in a high-fat diet (HFD) and streptozotocin (STZ) induced diabetes in experimental rats. Materials and methods: An experimental rodent T2DM model was elicited by consuming an HFD regimen with STZ 50 mg/kg, i.p. dose formulated in a 0.1 M cold citrate buffer (pH 4.5). The test drug hirsutidin (10 and 20 mg/kg) and the standard drug glimeclamide (5 mg/kg) were administered daily for six weeks. The efficacy of hirsutidin was observed on several diabetes parameters. The average body weight and an array of biochemical markers were determined, including blood glucose, insulin, dyslipidemia (lipid profile), total protein (TP), liver injury [aspartate aminotransferase (AST), alanine aminotransferase (ALT)], inflammation [IL-6, IL-1β, tumor necrosis factor-α (TNF-α)], oxidative stress [malondialdehyde (MDA)] and antioxidant status [catalase (CAT), glutathione (GSH), and superoxide dismutase (SOD)]. In addition, the concentrations of leptin, adiponectin, and resistin were also assessed. Also, molecular docking studies were undertaken to investigate critical targets associated with diabetes, including TNF-α, insulin, adiponectin, and leptin. Results: Diabetes induction with HFD/STZ resulted in hyperglycemia (significantly reduced blood glucose and increased insulin level), dyslipidemia (significantly reduced TC, TG and increased HDL), total protein (significantly reduced), oxidative stress and antioxidant status (significantly reduced MDA and increased CAT, SOD and GSH levels), inflammation (significantly decreased IL-6, IL-1β, TNF-α), liver damage (significantly reduced AST, ALT), and specific hormones such as adiponectin, leptin significantly improved and resistin significantly reduced as evidenced by biochemical data in this study. Intermolecular interactions of ligands and docking score, hirsutidin proteins TNF-α (2AZ5), Insulin (4IBM), Adiponectin (6KS1), Leptin (7Z3Q) with binding energy of -6.708, -7.674, -7.2 and -7.547 Kcal/mol. Conclusion: Hirsutidin may have an evidential hypoglycemic outcome and may exhibit potent antidiabetic activity in HFD/STZ-induced T2DM in rats. Treatment with hirsutidin significantly improved glycemic control, lipid metabolism, oxidative stress, inflammation, and liver function. Additionally, it normalized dysregulated levels of adiponectin, leptin, and resistin. Molecular docking confirmed its strong binding affinity to key diabetic targets.

In this work, an Ag@Cu/TiO2 ternary nanocomposite was synthesized by a simple chemical methodology and subsequently studied for the photocatalytic degradation of rose bengal (RB) dye under visible light as well as its hydrogen production. The shape, size and topographical analysis by scanning and transmission electron microscopy revealed that all the constituents are well intercalated and are in the nano range. The energy dispersive X-ray analysis of the Ag@Cu/TiO2 showed the presence of Ti, O, Cu and Ag and the absence of any other impurities, while the mapping analysis showed their uniform distribution. The X-ray photon spectroscopy also showed successful interaction between the components. Furthermore, the changes in the chemical state of Ti2p were examined. The band gap of Ag@Cu/TiO2 using the Tauc plot relations was found to be the lowest at 2.86 eV in comparison to pure TiO2 (3.28 eV), binary Ag/TiO2 (3.13 eV) and Cu/TiO2 (3.00 eV). The Ag@Cu/TiO2 displayed the lowest photoluminescence intensity, suggesting the highest degradation efficiency and lowest recombination rate. The application of Ag@Cu/TiO2 toward the photocatalytic degradation of RB dye exhibited a degradation rate of ~81.07%, which exceeds the efficiency of pure TiO2 by 3.31 times. Apart from this, the hydrogen production of Ag@Cu/TiO2 was found to be 17.1 μmol h−1 g−1, suggesting that copper and silver synergistically contributed, thereby resulting in the increased hydrogen production of pure TiO2.

Cancer poses intricate challenges to treatment due to its complexity and diversity. Ferroptosis and circular RNAs (circRNAs) are emerging as innovative therapeutic avenues amid the evolving landscape of cancer therapy. Extensive investigations into circRNAs reveal their diverse roles, ranging from molecular regulators to pivotal influencers of ferroptosis in cancer cell lines. The results underscore the significance of circRNAs in modulating molecular pathways that impact crucial aspects of cancer development, including cell survival, proliferation, and metastasis. A detailed analysis delineates these pathways, shedding light on the molecular mechanisms through which circRNAs influence ferroptosis. Building upon recent experimental findings, the study evaluates the therapeutic potential of targeting circRNAs to induce ferroptosis. By identifying specific circRNAs associated with the etiology of cancer, this analysis paves the way for the development of targeted therapeutics that exploit vulnerabilities in cancer cells. This review consolidates the existing understanding of ferroptosis and circRNAs, emphasizing their role in cancer therapy and providing impetus for ongoing research in this dynamic field.

Abstract The use of constructed wetlands (CWs) is one of the best options to treat wastewater. In CWs, microorganisms play a major role in the degradation of organic pollutants but the concentration of nutrients, surfactant, and aeration (NSA) in oil-contaminated water is one of the factors that affect the persistence and metabolic functioning of hydrocarbon-degrading microorganisms. In the present investigation, the influence of the addition of NSA on the persistence of the augmented bacteria, copy of (alkane hydroxylase gene) alkB gene, and its expression level in the water, soil, and plants of CWs were evaluated. The CWs mesocosms were developed by the vegetation of Typha latifolia and Cyperus laevigatus and inoculated with the bacterial consortium (Pseudomonas putida TYRI39, Acinetobacter junii TYRH47, Acinetobacter sp. CYRH17, Pseudomonas sp. CYSI27, and Pseudomonas sp. TYRH42). The mesocosms were provided with nutrients (20 mg l− 1 N, 2.6 mg l− 1 P, and 16.4 mg l− 1 K) in liquid form, surfactant Tween-20 (0.2%, v/v) in liquid form, and aeration (≥ 7.0 ± 1 mg l− 1 DO) using aeration pump. The addition of NSA in CWs enhanced the persistence and metabolic functioning of the inoculated bacteria in the water, rhizospheric soil, and plants. The maximum hydrocarbon removal (97%) was observed in the water treated by CWs having C. laevigatus, bacteria, and NSA, and it is correlated with the copy numbers of alkB and its expression level. The application of NSA in CWs not only improved bacterial persistence and catabolic gene expression but also increased plant development and hydrocarbon removal.

This study investigates the propagation of fluid–structure coupled waves in a duct featuring both rigid and flexible interfaces. Two cases are considered: in the first case, with a rigid interface, the truncated form of solution preserves the conservation law, while in the second setting, the power balance is not preserved initially, but is rectified as the number of modes, denoted as N, approaches infinity. The discrepancy is explained by specific equations and the presence of delta functions to enforce edge conditions on the membrane at the interface. The Galerkin approach is adopted to address this issue, expressing the membrane’s displacement using a generalized Fourier series. The investigation establishes a framework for modeling higher-order boundary conditions within a duct, employing the mode-matching (MM) method. The study also delves into the scattering components of power, which vary significantly for the two cases. These findings have implications for noise control devices, particularly in active noise control measures utilizing flexible components to dampen both noise and structural vibrations.

Evidence-based medicine (EBM) emerged from McMaster University in the 1980-1990s, which emphasizes the integration of the best research evidence with clinical expertise and patient values. The Health Information Research Unit (HiRU) was created at McMaster University in 1985 to support EBM. Early on, digital health informatics took the form of teaching clinicians how to search MEDLINE with modems and phone lines. Searching and retrieval of published articles were transformed as electronic platforms provided greater access to clinically relevant studies, systematic reviews, and clinical practice guidelines, with PubMed playing a pivotal role. In the early 2000s, the HiRU introduced Clinical Queries—validated search filters derived from the curated, gold-standard, human-appraised Hedges dataset—to enhance the precision of searches, allowing clinicians to hone their queries based on study design, population, and outcomes. Currently, almost 1 million articles are added to PubMed annually. To filter through this volume of heterogenous publications for clinically important articles, the HiRU team and other researchers have been applying classical machine learning, deep learning, and, increasingly, large language models (LLMs). These approaches are built upon the foundation of gold-standard annotated datasets and humans in the loop for active machine learning. In this viewpoint, we explore the evolution of health informatics in supporting evidence search and retrieval processes over the past 25+ years within the HiRU, including the evolving roles of LLMs and responsible artificial intelligence, as we continue to facilitate the dissemination of knowledge, enabling clinicians to integrate the best available evidence into their clinical practice.

Life cannot exist without water. Water scarcity is caused by massive groundwater decline. Water contamination is the most common problem spreading worldwide quicker than ever, along with anthropogenic water scarcity. Since tainted water can harm health, water contamination is also contributing to water scarcity. Heavy metals in drinking water have plagued most Asian, African, and European nations for decades. Studies reveal that heavy metals have caused damage in Pakistan, India, and China. This study detects heavy metals in groundwater and treats them with phytoremediation along the river Kabul in district Charsadda. It also measures pH, EC, TDS, turbidity, fluoride, phosphates, nitrites, and nitrates. All indicators meet the WHO and national environmental quality criteria for drinking water, except for turbidity, which exceeds the limit of ≤5 NTU in four examined regions, reaching a maximum of 9.99 NTU. Chemical parameters were within the standard limits, except for high concentrations of arsenic (As) and cadmium (Cd) in samples from S2 (15.20 μg/L) and S1 (20.50 μg/L) compared to WHO’s 10 and 5 μg/L standards. However, the limit is within EPA Pakistan’s 50 and 100 μg/L standards for drinking water, which Pakistan still follows. Heavy metals can harm health, even at low levels. Since the majority of the study area’s population relies on groundwater for drinking and other needs, heavy metal pollution of the groundwater can cause many ailments. Thus, phytoremediation is increasingly vital to reduce these heavy metals to WHO limits to protect human health and the environment.

Background: Education is the most hopeful discipline which provide pathway for a purposeful and productive life. The progress in any filed is achieved through education. Education is a complex process. Academic failure is the one of the main challenges which students face during academic years. Current study was conducted to identify the causes of academic failure among the nursing students and determine the correlation between these causes. Materials and Methods: A quantitative descriptive cross-sectional study design used to explore the causes of academic failure among the nursing students and correlation between these variables. A convenient sampling technique use to collect the data. Questionnaire distributed in 134 participants. SPSS version 24 was used for data analysis. Results: The mean score of question related to teacher behavior was 2.62 and the overall mean score was 2.62 ± 0.20. Lack of commitment to study was 2.23 and the overall mean score was 2.23 ± 0.22. Problem with learning environment mean 2.61 and the overall mean score 2.61 ± 0.26. The mean score of courses content and examination problem 2.52 and the overall mean score was 2.52 ± 0.32. The unsatisfying relation with family mean score 3.27 and the overall mean score was 3.27 ± 0.30. The future concerns related chosen field mean score was 2.64 and the overall mean score was 2.64 ± 0.20. Conclusion: Causes of student’s failure are the unsatisfied relation with the family and psychological problems of the students. There was positive correlation between all variables except the unsatisfied relation with family and future related concern to the chosen field of study.

Abstract L. edodes (L. edodes) is the most consumed mushroom in the world and has been well known for its therapeutic potential as an edible and medicinal candidate, it contains dietary fibers, vitamins, proteins, minerals, and carbohydrates. In the current study butanolic extract of mushroom was used to form semisolid butanol extract. The current study aimed to explore biometabolites that might have biological activities in n-butanol extract of L. edodes using FT-IR and GC–MS and LC–MS. The synergistic properties of bioactive compounds were futher assessed by performing different biological assays such as antioxidant, anti-inflammatory and antidiabetic. FTIR spectra showed different functional groups including amide N–H group, Alkane (C-H stretching), and (C = C stretching) groups at different spectrum peaks in the range of 500 cm−1 to 5000 cm−1 respectively. GC–MS profiling of n-butanol extract depicted 34 potent biomolecules among those dimethyl; Morphine, 2TMS derivative; Benzoic acid, methyl ester 1-(2-methoxy-1-methylethoxy)-2-propanol were spotted at highest range. Results indicate that L. edodes n-butanol extract showed a maximum anti-inflammatory potential 91.4% at 300 mg/mL. Antioxidant activity was observed by measuring free radical scavenging activity which is 64.6% at optimized concentration along with good antidiabetic activity. In-silico study executed the biopotential of active ingredient morphine which proved the best docking score (− 7.0 kJ/mol) against aldose reductase. The in-silico drug design analysis was performed on biometabolites detected through GC–MS that might be a potential target for sulfatase-2 to treat ruminated arthritis. Morphine binds more strongly (− 7.9 kJ/mol) than other bioactive constituents indicated. QSAR and ADMET analysis shown that morphine is a good candidates against ruminated arthritis. The current study showed that L. edodes might be used as potent drug molecules to cure multiple ailments. As mushrooms have high bioactivity, they can be used against different diseases and to develop antibacterial drugs based on the current situation in the world in which drug resistance is going to increase due to misuse of antibiotics so new and noval biological active compounds are needed to overcome the situation.

The scattering of fluid-structure-coupled waves is investigated in a cylindrical waveguide consisting of flexible shells and an expansion chamber connected via annular rigid discs. The scattering performance of the waveguide is studied in the presence of acoustic liners along the walls of the expansion chamber and the geometric variations along interfaces. A mode-matching method is applied to solve the corresponding mathematical problem. The study focuses on fluid- and structure-borne modes propagating in the flexible shells. The eigenfunctions in this case are non-orthogonal and obey generalized orthogonal properties, involving auxiliary parameters related to the ring conditions at the edges of the flexible shells. Although we considered clamped connections, the analysis can be extended to other ring conditions with appropriate changes. Through continuity conditions at the interfaces, orthogonal modes are used to project solutions in liner regions, resulting in linear algebraic systems. The performance of the waveguide is examined in terms of scattering powers and transmission loss as functions of frequency, chamber length, liner length, and porous screen impedance. It is observed that the variations in these parameters have a major influence on acoustic attenuation in the waveguide. These results are relevant for designing acoustic enclosures for different frequency bands.

Antibacterial resistance among uro-pathogens has become a global issue for bacterial infection treatment. The antibacterial activity of various plant extracts and silver nanoparticles (AgNPs) derived from medicinal plant extract was evaluated against different drug-resistant uro-pathogens isolated from clinical patients by Agar Well Diffusion and Minimum Inhibitory Concentration (MIC) assays. A total of 100 urine samples were collected from patients admitted to the hospital followed by the identification of Pseudomonas aeruginosa, Escherichia coli, Staphylococcus aureus, Proteus mirabilis, Enterobacter aerogenes, and Klebsiella pneumonia through colony morphology, gram staining, and biochemical characterization. All isolates were highly resistant to all the tested drugs except Amikacin, Gentamicin, and Imipenem. Organic extracts of clove have potent antibacterial activity against all drug-resistant isolates. Interestingly P. aeruginosa was sensitive to all inorganic extracts. These results revealed that the organic extracts of medicinal plants showed more consistent antimicrobial activity compared to their aqueous fraction. Furthermore, the green synthesis of AgNPs derived from clove extract showed strong activity against all tested pathogens followed by green synthesis of AgNPs derived from garlic, ginger, kalwonji, turmeric, and thymus extract respectively compared to medicinal plant extract. Moreover, MIC results showed that AgNPs derived from medicinal plant extract indicate higher efficiency in inhibiting bacterial growth than the medicinal plant extract. The current finding shows that AgNPs derived from plant extract can be recommended as a good alternative for treating the resistant uro-pathogens strains as compared to synthetic drugs and will be considered an attractive candidate for future biological applications.

The world's seventh-largest Indus Delta is gripped to extinction due to a continuous shortage of Indus River flows. The drastic fall in the ecology and coastal habitat due to the lack of freshwater flows, and the land degradation due to seawater intrusion is a simultaneous creeping hazard. The study aims to explore the potable water lens and their possible connection with seepage from freshwater bodies (rivers/ canals) to sustain them for drinking and agriculture use of 2 million populations. The study employed the electrical resistivity survey and 10 selected points along the Indus River at depths up to 300 m to baseline the rock type and groundwater quality; and drilling of bore logs at a maximum depth of 25 m. The result confirms the availability of two sandstone layers with marginal freshwater along the river and in some pockets; however brackish water was observed along the coast in a limestone formation. It is evident from the results that surface seepage from the Indus River and non-perennial ‘Pinyari’ canal has a progressive influence on the improvement of groundwater quality and confinement of seawater intrusion. HIGHLIGHTS Investigating the potable water lens and their possible connection with seepage from freshwater bodies (rivers/canals).; Investigation of baseline rock type and groundwater quality using electrical resistivity survey.; Research proposed the construction of Sindh Barrage for a sustainable delta and ecosystem.;

Abstract Over the past 15 years, there has been a noticeable uptick in incidents involving children ingesting multiple magnetic foreign bodies which can cause injuries and gastrointestinal complications including death. The current study aimed to identify the prevalence, clinical presentation, and management of single or multiple magnet ingestions. A retrospective multi-central cross-sectional study was conducted to include all pediatric patients

One of the main issues confronting humanity in the twenty-first century is the lack of potable water availability. Around half of the world’s consumers face drinking water scarcity. Industrially rich areas have a high population and high-water contamination risk factors. Modern technologies that are quite effective for water purification, present economical limitations that impede their usefulness in developing countries. Conventional methods involving low energy, low chemical demand, and prevention of water-borne disease are therefore significant for water purification in developing countries like Pakistan. These limitations have led to improvising the conventional method for facile water purification. Herein we report the water purification assembly based on allow sand filtration; involving the raw materials grass, clay, sand, silt, pebbles, gravel and coal/ fly ash carbon to obtain clean and quality-controlled water treatment. Ground water samples collected from various areas of Sargodha city were subjected to the developed design Hybrid Multi-Layer Slow Sand Filter (HMLSSF). Based on pre- and post-treatment water analysis, it was determined that the filtration assembly was quite effective at reducing pH, turbidity, dissolved and suspended solids, hardness, and heavy metals percent removal by 87%, 77.7%, 91.3%, 95.4%, 84.4%, and to promising levels, respectively. Moreover, 99 % biological contamination such as total coliform was also removed by this method.

Background and Objectives: Rosiridin is a monoterpene with outstanding monoamine inhibitory activity that is useful to treat depressive episodes and rapid-onset dementia. The current investigation aims to evaluate the neurologically protective impact of rosiridin, which opposes aluminum chloride (AlCl3) and causes memory dysfunction in rats. Materials and Methods: Memory impairment was developed in Wistar rats by administering AlCl3 (100 mg/kg p.o.) orally for 42 days and then supplemented with rosiridin at 10 and 20 mg/kg/p.o. Upon completion of the investigation, the behavior factor was performed utilizing the Y-maze, Morris Water Maze, and open field tests. Estimating numerous biological factors, such as nitric oxide (NO), oxidative stress (malondialdehyde MDA), acetylcholinesterase (AChE), butyrylcholinesterase levels (BuChE), antioxidants (glutathione GSH, catalase CAT, and superoxide dismutases SODs) and neurotransmitter (serotonin-5HT, dopamine-DA, acetylcholine-Ach) in the brain. Furthermore, interleukin-6 (IL-6), IL-1β, tumor necrosis factor (TNF-α), brain-derived neurotrophic factor (BNDF), nuclear factor kappa B (NFᴋB), phosphatidylinositol 3-kinase (PI3K), and pAkt were assessed in the diffused brain cells. Results: The rosiridin-treated group significantly improved in terms of behavioral parameters, including in the Y-maze, Morris Water Maze, and open field tests. Further, rosiridin restored biochemical parameters, including NO, oxidative stress AChE, BuChE, antioxidants, neurotransmitters, IL-6, IL-1β, TNF-α, BNDF, NFᴋB, PI3K, and pAkt compared to AlCl3. Conclusions: The current investigation reveals that rosiridin could ameliorate the impairment of memory that AlCl3 causes in rats via improvements in behavioral and restored biochemical parameters.

Metal sulfide-based composites have become increasingly common as materials used for electrodes in supercapacitors because of their excellent conductivity, electrochemical activity, and redox capacity. This study synthesized a composite of NiFeS@MoS2@rGO nanostructure using a simple hydrothermal approach. The synthesized nanocomposite consisted of the composite of nickel sulfide and iron sulfide doped with MoS2@rGO. A three-electrode cell is employed to investigate the electrochemical properties of the NiFeS@MoS2@rGO electrode. The results demonstrated an optimal specific capacitance of 3188 F/g at 1.4 A/g in a 1 M KOH electrolyte. Furthermore, a supercapattery is designed utilizing NiFeS@MoS2@rGO//AC as the positive electrode and activated carbon (AC) as the negative electrode materials. The resulting supercapattery is designed at a cell voltage of 1.6 V, achieving a specific capacity value of 189 C/g at 1.4 A/g. It also demonstrated an excellent energy density of 55 Wh/kg with an enhanced power density of 3800 W/kg. Furthermore, the hybrid device demonstrated remarkable stability with a cycling stability of 95% over 30,000 charge–discharge cycles at a current density of 1.4 A/g. The supercapattery, which has excellent energy storage capabilities, is used as a power source for operating different portable electronic devices.

Researchers are developing innovative electrode materials with high energy and power densities worldwide for effectual energy storage systems. Transition metal dichalcogenides (TMDs) are arranged in two dimensions (2D) and have shown great promise as materials for photoelectrochemical activity and supercapacitor batteries. This study reports on the fabrication of WS2@NiCoS and WS2@NiCoS@ZnS hybrid nano-architectures through a simple hydrothermal approach. Because of the strong interfacial contact between the two materials, the resultant hierarchical hybrids have tunable porosity nanopetal decorated morphologies, rich exposed active edge sites, and high intrinsic activity. The specific capacities of the hybrid supercapacitors built using WS2@NiCoS and WS2@NiCoS@ZnS electrodes are 784.38 C g−1 and 1211.58 C g−1 or 2019.3 F g−1, respectively, when performed at 2 A g−1 using a three-electrode setup. Furthermore, an asymmetric device (WS2@NiCoS@ZnS//AC) shows a high specific capacity of 190.5 C g−1, an energy density of 49.47 Wh kg−1, and a power density of 1212.30 W kg−1. Regarding the photoelectrochemical activity, the WS2@NiCoS@ZnS catalyst exhibits noteworthy characteristics. Our findings pave the way for further in-depth research into the use of composite materials doped with WS2 as systematic energy-generating devices of the future.

Background/Objectives: 6-Shogaol is a comparatively innovative anti-Parkinson’s remedy with antioxidant and anti-inflammatory characteristics. This investigation intended to determine the role of 6-shogaol in the Parkinson’s disease (PD) paradigm in rotenone-induced rats. Methods: Thirty male Wistar rats (10–12 weeks old; 180 ± 20 g) were divided into five groups. Animals with rotenone-induced experimental PD were subsequently treated with 6-shogaol-10 at 20 mg/kg for 28 days. After the experimental duration, behavioural investigations were performed, i.e., open field test, forced swim test, rotarod test, and catalepsy test. Biochemical assessments like AChE, GSH, CAT, SOD, MDA, nitrite, ceruloplasmin, proinflammatory markers such as IL-1β, NF-κB, TNF-α, and catecholamines markers (DA, GABA, and MAO-B) were determined. The docking procedure was conducted using the AutoDock Vina docking protocol. Furthermore, histopathology was performed. Results: Rotenone significantly increased the level of MAO-B, oxidative, nitrative, and pro-inflammatory markers. However, there was a decline in ceruloplasmin, dopamine, and endogenous antioxidants. Treatment with 6-shogaol (10 and 20 mg/kg) considerably sustained the elevation of oxidative stress and inflammatory indicators and decreased AChE activity and dopamine levels. In the histology of the brain, 6-shogaol improved the neuronal structure and reduced the degeneration of neurons. Based on the binding energy values, compound 6-shogaol demonstrates a favourable binding affinity to AChE, MAO-B, DA, and GABA with respective binding energies of −8.214, −8.133, −7.396 and −6.189 kcal/mol. Conclusions: In this study, 6-shogaol exhibited neuroprotective properties against PD, which could be employed as a prospective medication for PD.

Background: Wastewater is a major source of Antibiotic-Resistant Bacteria (ARB) and a hotspot for the exchange of Antibiotic-Resistant Genes (ARGs). The occurrence of Carbapenem-Resistant Bacteria (CRB) in wastewater samples is a major public health concern. Objectives: This study aimed to analyze Antibiotic resistance in bacteria from wastewater sources in Pakistan. Methods: We analyzed 32 bacterial isolates, including 18 Escherichia coli, 4 Klebsiella pneumoniae, and 10 other bacterial isolates using phenotypic antibiotic susceptibility assay and whole-genome sequencing. This study identified the ARGs, plasmid replicons, and integron genes cassettes in the sequenced isolates. One representative isolate was further sequenced using Illumina and Oxford nanopore sequencing technologies. Results: Our findings revealed high resistance to clinically important antibiotics: 91% of isolates were resistant to cefotaxime, 75% to ciprofloxacin, and 62.5% to imipenem, while 31% showed non-susceptibility to gentamicin. All E. coli isolates were resistant to cephalosporins, with 72% also resistant to carbapenems. Sequence analysis showed a diverse resistome, including carbapenamases (blaNDM-5, blaOXA-181), ESBLs (blaCTX-M-15, blaTEM), and AmpC-type β-lactamases (blaCMY). Key point mutations noticed in the isolates were pmrB_Y358N (colistin) and ftsI_N337NYRIN, ftsI_I336IKYRI (carbapenem). The E. coli isolates had 11 different STs, with ST410 predominating (28%). Notably, the E. coli phylogroup A isolate 45EC1, (ST10886) is reported for the first time from wastewater, carrying blaNDM-5, blaCMY-16, and pmrB_Y358N with class 1 integron gene cassette of dfrA12-aadA2-qacEΔ1 on a plasmid-borne contig. Other carbapenamase, blaNDM-1 and blaOXA-72, were detected in K. pneumoniae 22EB1 and Acinetobacter baumannii 51AC1, respectively. The integrons with the gene cassettes encoding antibiotic resistance, and the transport and bacterial mobilization protein, were identified in the sequenced isolates. Ten plasmid replicons were identified, with IncFIB prevalent in 53% of isolates. Combined Illumina and Oxford nanopore sequencing revealed blaNDM-5 on an IncFIA/IncFIC plasmid and is identical to those reported in the USA, Myanmar, and Tanzania. Conclusions: These findings highlight the environmental prevalence of high-risk and WHO-priority pathogens with clinically important ARGs, underscoring the need for a One Health approach to mitigate ARB isolates.

The Qur'ān and the Sunnah are the primary sources of knowledge in Islam. Together with the Qurʾan, the statements and actions of the Prophetﷺ form the basis of Islamic law and theology. Considering importance of Hadith and its sciences Muslim scholars of every era have dedicated substantial efforts in this field. This involved efforts in compiling Hadith, its transcription and publication, its collection and organization, and ensuring its preservation and accuracy, along with addressing all related sciences connected to the field of Hadith. As a way of showcasing their love and respect for our dear Prophetﷺ throughout history, Muslim scholars have contributed to this virtuous work to the best of their abilities. Attuned to the societal pulse, teachers of Institute of Islamic Studies, University of The Punjab have actively engaged in this sacred endeavor. Their initiatives involve familiarizing the public with the sciences of Hadith and the texts of traditions, emphasizing its significance, and uncovering the efforts of the righteous predecessors. In this write-up their authored works and compositions in the field of Hadith and Uloom-ul-Hadith is briefly examined.

BackgroundEvidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. ObjectiveThis study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. MethodsAs an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. ResultsThe EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. ConclusionsEBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.

Gastrointestinal stromal tumors are commonly developed in gastrointestinal tract but in duodenum is less than 3% of all gastrointestinal neoplasm. The early diagnostic criteria are very difficult in these tumors in worldwide and being a challenge for medical team due to difficult anatomical structure of duodenum. The study’s aim is to know the incident rate of duodenal gastrointestinal stromal tumors. The average age of these tumors is more than 40 years but in the current case, 19-years old female patient present with complaint of melena and anemia. Her family history was negative. She was diagnosed by scope test of oral gastric duodenum with biopsy, abdominal x-rays, computerized tomography scan and histopathology. The patient was treated by Classic Whipple’s procedure. According to the oncologist, patient has low risk of duodenal tumor from gastrointestinal stromal tumor. These tumors have no need to treat with adjuvant therapy: chemotherapy (Glavic) and radiation therapy after surgical resection.

IntroductionSoil salinization poses a significant environmental challenge affecting plant growth and agricultural sustainability. This study explores the potential of salt-tolerant endophytes to mitigate the adverse effects of soil salinization, emphasizing their impact on the development and resistance of Arachis hypogaea L. (peanuts).MethodsThe diversity of culturable plant endophytic bacteria associated with Miscanthus lutarioriparius was investigated. The study focused on the effects of Bacillus tequilensis, Staphylococcus epidermidis, and Bacillus siamensis on the development and germination of A. hypogaea seeds in pots subjected to high NaCl concentrations (200 mM L−1).ResultsUnder elevated NaCl concentrations, the inoculation of endophytes significantly (p

This article investigates the concept of dominant metric dimensions in zero divisor graphs (ZD-graphs) associated with rings. Consider a finite commutative ring with unity, denoted as R, where nonzero elements x and y are identified as zero divisors if their product results in zero (x.y=0). The set of zero divisors in ring R is referred to as L(R). To analyze various algebraic properties of R, a graph known as the zero-divisor graph is constructed using L(R). This manuscript establishes specific general bounds for the dominant metric dimension (Ddim) concerning the ZD-graph of R. To achieve this objective, we examine the zero divisor graphs for specific rings, such as the ring of Gaussian integers modulo m, denoted as Zm[i], the ring of integers modulo n, denoted as Zn, and some quotient polynomial rings. Our research unveils new insights into the structural similarities and differences among commutative rings sharing identical metric dimensions and dominant metric dimensions. Additionally, we present a general result outlining bounds for the dominant metric dimension expressed in terms of the maximum degree, girth, clique number, and diameter of the associated ZD-graphs. Through this exploration, we aim to provide a comprehensive framework for analyzing commutative rings and their associated zero divisor graphs, thereby advancing both theoretical knowledge and practical applications in diverse domains.

Memory loss or dementia is a progressive disorder, and one of its common forms is Alzheimer’s disease (AD), effecting mostly middle aged and older adults. In the present study, we developed Rivastigmine (RIV) nanoparticles using poly(lactic-co-glycolic acid) (RIV-loaded PLGA NPs) and polyvinyl alcohol (PVA). The prepared RIV-PLGA nanoparticles was evaluated for the management of Alzheimer's disease (AD). The nanoparticles were prepared by the slightly modified nano-precipitation technique. The developed formulations were evaluated for particle size, zeta potential (ZP), polydispersibility index (PDI) and surface morphology and drug content. The experimental result revealed that prepared RIV-loaded PLGA NPs (F1) was optimized having particle size (61.2 ± 4.6 nm), PDI (0.292), ZP (−11.2 ± 1.2). SEM study confirms the prepared nanoparticles depicted non-aggregated as well smooth surface particles without any fracture. This formulation (F1) was further assessed for in vivo studies on animal model. A pharmacological screening on an animal model of Alzheimer's disease revealed that RIV-loaded PLGA NPs formulations treat CNS disorders like Alzheimer's effectively. In addition to that, an in-vivo brain cholinesterase estimation study found that, animals treated with optimized formulation significantly (p

Summary: Pakistan, among the top five most water-stressed nations globally, grapples with water scarcity owing to inadequate treatment infrastructure and groundwater overextraction. We demonstrate a successful nature-based closed-loop system to treat wastewater from urban vehicle-washing facilities, previously reliant on groundwater. An eco-friendly integrated system containing floating treatment wetlands (FTWs), subsurface flow constructed wetlands (SSF-CWs), and sand filtration (SF) was designed and installed at three vehicle-washing facilities for wastewater treatment and reuse in a loop. While the system is still operational after years, a consistent and significant reduction in water quality indicators is recorded, successfully meeting the national environmental quality standards of Pakistan. By reducing per unit water treatment costs to as low as $0.0163/m³ and achieving payback periods under a year, the embrace of these closed-loop strategies vividly underscores the imperative of transitioning to a circular economy in the domains of wastewater treatment and resource conservation.

Aging-related diseases (ARDs) are a major global health concern, and the development of effective therapies is urgently needed. Kaempferol, a flavonoid found in several plants, has emerged as a promising candidate for ameliorating ARDs. This comprehensive review examines Kaempferol's chemical properties, safety profile, and pharmacokinetics, and highlights its potential therapeutic utility against ARDs. Kaempferol's therapeutic potential is underpinned by its distinctive chemical structure, which confers antioxidative and anti-inflammatory properties. Kaempferol counteracts reactive oxygen species (ROS) and modulates crucial cellular pathways, thereby combating oxidative stress and inflammation, hallmarks of ARDs. Kaempferol's low toxicity and wide safety margins, as demonstrated by preclinical and clinical studies, further substantiate its therapeutic potential. Compelling evidence supports Kaempferol's substantial potential in addressing ARDs through several mechanisms, notably anti-inflammatory, antioxidant, and anti-apoptotic actions. Kaempferol exhibits a versatile neuroprotective effect by modulating various proinflammatory signaling pathways, including NF-kB, p38MAPK, AKT, and the β-catenin cascade. Additionally, it hinders the formation and aggregation of beta-amyloid protein and regulates brain-derived neurotrophic factors. In terms of its anticancer potential, kaempferol acts through diverse pathways, inducing apoptosis, arresting the cell cycle at the G2/M phase, suppressing epithelial-mesenchymal transition (EMT)-related markers, and affecting the phosphoinositide 3-kinase/protein kinase B signaling pathways. Subsequent studies should focus on refining dosage regimens, exploring innovative delivery systems, and conducting comprehensive clinical trials to translate these findings into effective therapeutic applications.

Abstract Abiotic stresses are a significant constraint to plant production globally. Identifying stress-related genes can aid in the development of stress-tolerant elite genotypes and facilitate trait and crop manipulation. The primary aim of this study was to conduct whole transcriptome analyses of the salt-tolerant faba bean genotype, Hassawi-2, under different durations of salt stress (6 h, 12 h, 24 h, 48 h, and 72 h) at the early vegetative stage, to better understand the molecular basis of salt tolerance. After de novo assembly, a total of 140,308 unigenes were obtained. The up-regulated differentially expressed genes (DEGs) were 2380, 2863, 3057, 3484, and 4820 at 6 h, 12 h, 24 h, 48 h, and 72 h of salt stress, respectively. Meanwhile, 1974, 3436, 2371, 3502, and 5958 genes were downregulated at 6 h, 12 h, 24 h, 48 h, and 72 h of salt stress, respectively. These DEGs encoded various regulatory and functional proteins, including kinases, plant hormone proteins, transcriptional factors (TFs) basic helix-loop-helix (bHLH), Myeloblastosis (MYB), and (WRKY), heat shock proteins (HSPs), late embryogenesis abundant (LEA) proteins, dehydrin, antioxidant enzymes, and aquaporin proteins. This suggests that the faba bean genome possesses an abundance of salinity resistance genes, which trigger different adaptive mechanisms under salt stress. Some selected DEGs validated the RNA sequencing results, thus confirming similar gene expression levels. This study represents the first transcriptome analysis of faba bean leaves subjected to salinity stress offering valuable insights into the mechanisms governing salt tolerance in faba bean during the vegetative stage. This comprehensive investigation enhances our understanding of precise gene regulatory mechanisms and holds promise for the development of novel salt-tolerant faba bean salt-tolerant cultivars.

This paper proposes a novel approach to effectively manage distributed energy resources (DERs) by facilitating peer-to-peer (P2P) energy trading among smart homes. This system incentivizes peers to trade surplus energy, thereby maximizing social welfare. The proposed day-ahead demand-side management (DSM) technique considers load prioritization based on individual user needs. It employs an optimal energy allocation policy that encourages peers to purchase energy at reduced rates while selling it at advantageous prices. This strategy optimizes the allocation of traded energy to higher-priority loads, followed by lower-priority ones, all while considering user preferences. The proposed method results in an average reduction in energy costs from 14.80 % to 2.70 % for all consumers and an average increase in revenues from 17.35 % to 9.07 % for all prosumers compared to the grid and previously proposed studies. Moreover, the proposed approach significantly enhances the consumer satisfaction Index (SI), with a 46.8 % increase over the previous research study. Simulation results demonstrate substantial economic benefits for all market participants, improved SI, enhanced community self-sufficiency, and reduced dependence on the main grid. The proposed methodology offers a practical and fair solution for managing DERs through P2P energy trading by implementing load prioritization within smart homes. It highlights the potential to establish a sustainable and efficient energy ecosystem, thereby enhancing the effective utilization of surplus energy from DERs.

Objective: To identify the association of serum albumin levels with the severity of illness in patients diagnosed with dengue fever Study Design: Cross-sectional study. Place and Duration of Study: The study was conducted at the Medicine Department of Margalla Institute of Health Sciences Islamabad, Pakistan from July 2022 to June, 2023. Methods: A total of 82 diagnosed cases of dengue fever were included in the study. All the baseline investigations were done including serum albumin at the time of diagnosis. The severity of the illness was determined on the basis of platelet counts during the first week of illness. The association of various sociodemographic factors including albumin levels was determined with the severity of illness in the study participants. Results: The mean age of study participants was 32.6±8.71years with 56 (68.3%) were males and 26 (31.7%) were females. Out of 82 dengue fever patients, 61 (74.4%) had mild illness while 21 (25.6%) had severe form of dengue fever. 53 (64.6%) had normal albumin levels while 29 (35.4%) had deranged albumin levels. Pearson chi square analysis revealed that deranged albumin levels and wide pulse pressure had statistically significant relationship with presence of severe dengue fever in our study participants (P-value

The overconsumption of fossil fuels is leading to worsening environmental damage, making the generation of clean, renewable energy an absolute necessity. Two common components of electrochemical energy storage (EES) devices are batteries and supercapacitors (SCs), which are among the most promising answers to the worldwide energy issue. In this study, we introduce an exceptionally efficient electrode material for supercapacitors, composed of a hydrothermally synthesized composite known as MnNiS@MXene. We utilized XRD, SEM, and BET to analyze the material’s crystallinity, morphology, and surface area. The Qs of MnNiS@MXene was a remarkable 1189.98 C/g or 1983.3 F/g at 2 A/g under three electrode assemblies in 1 M KOH electrolyte solution. Activated carbon was used as the negative electrode, while MnNiS@MXene served as the positive electrode in the assembled supercapattery device (MnNiS@MXene//AC). This device showed exceptional performance, a specific capacity of 307.18 C/g, a power density of 1142.61 W/kg, and an energy density of 34.79 Wh/kg. Additionally, cyclic durability was evaluated through 7000 cycles of charging/discharging, demonstrating that it maintained approximately 87.57% of its original capacity. The successful integration of these materials can lead to electrodes with superior energy storage capabilities and efficient photoelectrochemical performance. The aforementioned findings suggest that MnNiS@MXene exhibits promising potential as an electrode material for forthcoming energy storage systems.

This paper explores the concept of multiset dimensions (Mdim) of compressed zero-divisor graphs (CZDGs) associated with rings. The authors investigate the interplay between the ring-theoretic properties of a ring R and the associated compressed zero-divisor graph. An undirected graph consisting of a vertex set Z(RE)\{[0]}=RE\{[0],[1]}, where RE={[x] :x∈R} and [x]={y∈R : ann(x)=ann(y)} is called a compressed zero-divisor graph, denoted by ΓER. An edge is formed between two vertices [x] and [y] of Z(RE) if and only if [x][y]=[xy]=[0], that is, iff xy=0. For a ring R, graph G is said to be realizable as ΓER if G is isomorphic to ΓER. We classify the rings based on Mdim of their associated CZDGs and obtain the bounds for the Mdim of the compressed zero-divisor graphs. We also study the Mdim of realizable graphs of rings. Moreover, some examples are provided to support our results. Notably, we discuss the interconnection between Mdim, girth, and diameter of CZDGs, elucidating their symmetrical significance.

Two-dimensional (2D) sulfide-based transition metal dichalcogenides (TMDs) have shown their crucial importance in energy storage devices. In this study, the tungsten disulfide (WS2) nanosheets were combined with hydrothermally synthesized cobalt magnesium sulfide (CoMgS) nanocomposite for use as efficient electrodes in supercapattery energy storage devices. The characteristics of the WS2@CoMgS nanocomposite were better than those of the WS2 and CoMgS electrodes. XRD, SEM, and BET analyses were performed on the nanocomposite to examine its structure, morphology, and surface area in depth. In three-electrode assemblies, the composite (WS2@CoMgS) electrode showed a high specific capacity of 874.39 C g−1 or 1457.31 F g−1 at 1.5 A g−1. The supercapattery device (WS2@CoMgS//AC) electrode demonstrated a specific capacity of 325 C g−1 with an exceptional rate capability retention of 91% and columbic efficiency of 92% over 7000 cycles, according to electrochemical studies. Additionally, the high energy storage capacity of the WS2@CoMgS composite electrode was proved by structural and morphological investigations.