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The present report is concerned with the synthesis and coordination compounds of 2-amino-(N-aminobezoyl) benzohydrazide[ABH]. The ligand was charcterized by proton NMR, mass spectrometry, elemental and infrared studies. The ligand has got –NH2 moeity which is capable of chelation. Therefore complexes of Ni, Cu, and Zn were prepared. These complexes were characterized by elemental, infrared, thermal, conductance, and magnetic susceptibility studies. Infrared spectra shows that the ligand form complexes through –NH2 moeity, while the elemental studies suggest M(ABH)X2 composition of the coordination compounds. Knowing about the importance of -N-N- linkage in the biologically active compounds, the synthesized complexes were studied for their biological activities against Gram Negative bacteria which include E. coli, Salmonella typhi, Enterobacter aerogenes, Proteus vulgaris and Pseudomonas aeruginosa, selected Gram Positive bacterial strain is Staph aureus and Fungus like Candida albican. These activities show that the hydrazide containing metal complexes become more potentially resistive to the microbial activities as compared to the sole ligand.

The reaction between 3,3′-[(3-methoxy-4-hydroxyphenyl)methanediyl]bis(4-hydroxy-2H-chromen-2-one) and triethylamine in methanol yielded the title compound triethylammonium 3-[(4-hydroxy-3-methoxyphenyl)(4-hydroxy-2-oxo-2H-chromen-3-yl)methyl]-2-oxo-2H-chromen-4-olate, C6H16N+·C26H17O8− or (NHEt3)+(C26H17O8)−, which crystallized directly from its methanolic mother liquor. The non-deprotonated coumarol substituent shares its H atom with the deprotonated coumarolate substituent in a short negative charge-assisted hydrogen bond in which the freely refined H atom is moved from its parent O atom towards the acceptor O atom, elongating the covalent O—H bond to 1.18 (3) Å. The respective H atom can therefore be described as being shared by two alcohol O atoms, culminating in the formation of an eight-membered ring.

This study was conducted along the Haro River and Khanpur dam in southern Haripur Tehsil to evaluate thephysio-chemical properties of soil and water to determine its agricultural suitability and to demonstrate the effectiveness of GIS techniques for this analysis. There were 42 samples (20 of soil and 22 of water) collected along the Haro River and Khanpur dam in autumn season after rain. ArcGIS 9.3 software and 3D Analyst extension were used to interpolate the collected samples. It was found that water pH was in the range of 6.94 to 8.11 while EC dsm-1 was from 0.19 to 0.41 which was within the normal range having no salinity and sodicity hazard. Water is fit for irrigation. Soil data showed that pH was in the range of 7.2 to 8.32 and EC dsm-1 in the range of 0.04 to 1.166,while soil texture was sandy clay loam to sand type. Whereas all the soil in study area was mostly calcareous. Organic matter was deficit in most of the soil samples. It was found that the remote sensing, GIS and GPS survey techniques were also very useful to identify and analyze the trends of soil and water parameters.

Solid Oxide Fuel Cells is received a significant attention in recent years due to higher efficiency and fuel flexibility. The one of the main challenge for SOFC is to lower the operating temperature of SOFCs. Therefore, different strategies are used in order to enhance the ionic conduction of electrolyte, which can lower the overall SOFC operating temperature. The present work is focused on this strategy to enhance the electrolytic conductivity. Therefore, the ceria based composite electrolytes Ce0.80Sm0.20B0.80Y0.20O3-δ (YBSDC) are synthesized using three different approaches i.e. co-precipitation (YBSDC-1), sol-gel (YBSDC-2) and ball milling (YBSDC-3). Their crystal structures and surface morphologies are characterized through X-ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) techniques, respectively. The four-probe technique is employed to measure their dc conductivities in the temperature range (300–700) °C under air atmosphere. The open circuit voltage (OCV) and current are recorded with natural gas as fuel {flow rate kept at 100 ml min−1 at 1 atm pressure} over the temperature range (300–600) °C.The electrolyte (YBSDC-1) prepared by co-precipitation technique is shown better results as compare to other two electrolytes (YBSDC-2 and YBSDC-3). The electrolyte (YBSDC-1) having maximum dc conductivity (0.096 S/cm), peak power density 224 mW cm−2 and OCV 0.94 V at 600 °C. These results show that YBSDC-1electrolyte is potential candidate for low temperature SOFCs. Keywords: Hydrogen, Energy, Ball milling, Composite, Conductor

Abstract Background L-2-hydroxyglutaric aciduria (L2HGA) is a progressive neurometabolic disease of brain caused by mutations of in L-2-hydroxyglutarate dehydrogenase (L2HGDH) gene. Cardinal clinical features include cerebellar ataxia, epilepsy, neurodevelopmental delay, intellectual disability, and other clinical neurological deficits. Case presentation We describe an index case of the family presented with generalised tonic-clonic seizure, developmental delay, intellectual disability, and ataxia. Initially, the differential diagnosis was difficult to be established and a SNP genome wide scan identified the candidate region on chromosome 14q22.1. DNA sequencing showed a novel homozygous mutation in the candidate gene L2HGDH (NM_024884.2: c.178G > A; p.Gly60Arg). The mutation p.Gly60Arg lies in the highly conserved FAD/NAD(P)-binding domain of this mitochondrial enzyme, predicted to disturb enzymatic function. Conclusions The combination of homozygosity mapping and DNA sequencing identified a novel mutation in Pakistani family with variable clinical features. This is second report of a mutation in L2HGDH gene from Pakistan and the largest family with L2HGA reported to date.

Supporting ultra-reliable and low-latency communications (URLLC) is crucial for vehicular traffic safety and other mission-critical applications. In this paper, a novel proximity and quality-of-service-aware resource allocation framework for vehicle-to-vehicle (V2V) communication is proposed. The proposed scheme incorporates the physical proximity and traffic demands of vehicles to minimize the total transmission power over the allocated resource blocks (RBs) under reliability and queuing latency constraints. A Lyapunov framework is used to decompose the power minimization problem into two interrelated sub-problems: RB allocation and power optimization. To minimize the overhead introduced by frequent information exchange between the vehicles and the roadside unit (RSU), the resource allocation problem is solved in a semi-distributed fashion. First, a novel RSU-assisted virtual clustering mechanism is proposed to group vehicles into disjoint zones based on mutual interference. Second, a per-zone matching game is proposed to allocate RBs to each vehicle user equipment (VUE) based on vehicles' traffic demands and their latency and reliability requirements. In the formulated one-to-many matching game, VUE pairs and RBs rank one another using preference relations that capture both the queue dynamics and interference. To solve this game, a semi-decentralized algorithm is proposed using which the VUEs and RBs can reach a stable matching. Finally, a latency-and reliability-aware power allocation solution is proposed for each VUE pair over the assigned subset of RBs. Simulation results for a Manhattan model show that the proposed scheme outperforms the state-of-art baseline and reaches up to 45% reduction in the queuing latency and 94% improvement in reliability.

This paper presents an experimental realization of multiband 5G new radio (NR) optical front haul (OFH) based radio over fiber (RoF) system using digital predistortion (DPD). A novel magnitude-selective affine (MSA) based DPD method is proposed for the complexity reduction and performance enhancement of RoF link followed by its comparison with the canonical piece wise linearization (CPWL), decomposed vector rotation method (DVR) and generalized memory polynomial (GMP) methods. Similarly, a detailed study is shown followed by the implementation proposal of novel neural network (NN) for DPD followed by its comparison with MSA, CPWL, DVR and GMP methods. In the experimental testbed, 5G NR standard at 20 GHz with 50 MHz bandwidth and flexible-waveform signal at 3 GHz with 20 MHz bandwidth is used to cover enhanced mobile broad band and small cells scenarios. A dual drive Mach Zehnder Modulator having two distinct radio frequency signals modulates a 1310 nm optical carrier using distributed feedback laser for 22 km of standard single mode fiber. The experimental results are presented in terms of adjacent channel power ratio (ACPR), error vector magnitude (EVM), number of estimated coefficients and multiplications. The study aims to identify those novel methods such as MSA DPD are a good candidate to deploy in real time scenarios for DPD in comparison to NN based DPD which have a slightly better performance as compared to the proposed MSA method but has a higher complexity levels. Both, proposed methods, MSA and NN are meeting the 3GPP Release 17 requirements.

It has been nearly two years since the pandemic caused by the novel coronavirus disease (COVID-19) has affected the world. Several innovations and discoveries related to COVID-19 are surfacing every day and new problems associated with the COVID-19 virus are also coming to light. A similar situation is with the emergence of deep invasive fungal infections associated with severe acute respiratory syndrome 2 (SARS-CoV-2). Recent literature reported the cases of pulmonary and rhino-cerebral fungal infections appearing in patients previously infected by COVID-19. Histopathological analysis of these cases has shown that most of such infections are diagnosed as mucormycosis or aspergillosis. Rhino-orbital-cerebral mucormycosis usually affects the maxillary sinus with involvement of maxillary teeth, orbits, and ethmoidal sinuses. Diabetes mellitus is an independent risk factor for both COVID-19 as well as mucormycosis. At this point, there is scanty data on the subject and most of the published literature comprises of either case reports or case series with no long-term data available. The aim of this review paper is to present the characteristics of COVID-19 related mucormycosis and associated clinical features, outcome, diagnostic and management strategies. A prompt diagnosis and aggressive treatment planning can surely benefit these patients.

In medical imaging, the detection and classification of stomach diseases are challenging due to the resemblance of different symptoms, image contrast, and complex background. Computer-aided diagnosis (CAD) plays a vital role in the medical imaging field, allowing accurate results to be obtained in minimal time. This article proposes a new hybrid method to detect and classify stomach diseases using endoscopy videos. The proposed methodology comprises seven significant steps: data acquisition, preprocessing of data, transfer learning of deep models, feature extraction, feature selection, hybridization, and classification. We selected two different CNN models (VGG19 and Alexnet) to extract features. We applied transfer learning techniques before using them as feature extractors. We used a genetic algorithm (GA) in feature selection, due to its adaptive nature. We fused selected features of both models using a serial-based approach. Finally, the best features were provided to multiple machine learning classifiers for detection and classification. The proposed approach was evaluated on a personally collected dataset of five classes, including gastritis, ulcer, esophagitis, bleeding, and healthy. We observed that the proposed technique performed superbly on Cubic SVM with 99.8% accuracy. For the authenticity of the proposed technique, we considered these statistical measures: classification accuracy, recall, precision, False Negative Rate (FNR), Area Under the Curve (AUC), and time. In addition, we provided a fair state-of-the-art comparison of our proposed technique with existing techniques that proves its worthiness.

Exploiting new genetic resources is an effective way to achieve sustainable wheat production. To this end, we exposed wheat seeds of the “Punjab-11” cultivar to gamma rays. A total of 32 stable mutants (M7) were developed, followed by characterization by conducting multilocation trials over two seasons. Principal component analysis (PCA) showed that the first six components accounted for 90.28% of the total variation among the plant height, tillers per plant, 1000-kernel weight, grain yield, and quality traits. All mutants were grouped into three clusters based on high yield index values. The genotype by trait (GT) bi-plot revealed significant associations between yield and its components among the mutants. Positive correlations were estimated for tillers per plant, plant height, 1000-kernel weight, and grain yield; however, yield components showed negative associations with protein, moisture, and gluten contents. The mutant lines Pb-M-59 waxy, Pb-M-1272 waxy, Pb-M-2260, Pb-M-1027 waxy, Pb-M-1323 waxy, and Pb-M-1854 exhibited maximum grain yield, 1000-grain weight, and tillers per plant values. Likewise, Pb-M-2725, Pb-M-2550, and Pb-M-2728 were found to be the best mutant lines in terms of grain quality; thus, the use of gamma radiation is effective in improving the desirable traits, including yield and grain quality. It is suggested that these traits can be improved beyond the performance of corresponding traits in their parent genotypes. The newly produced mutants can also be used to explore the genetic mechanisms of complex traits in the future.

Here, we have unveiled the effects of cycloastragenol against Aβ (Amyloid-beta)-induced oxidative stress, neurogenic dysfunction, activated mitogen-activated protein (MAP) kinases, and mitochondrial apoptosis in an Aβ-induced mouse model of Alzheimer’s disease (AD). The Aβ-induced mouse model was developed by the stereotaxic injection of amyloid-beta (5 μg/mouse/intracerebroventricular), and cycloastragenol was given at a dose of 20 mg/kg/day/p.o for 6 weeks daily. For the biochemical analysis, we used immunofluorescence and Western blotting. Our findings showed that the injection of Aβ elevated oxidative stress and reduced the expression of neurogenic markers, as shown by the reduced expression of brain-derived neurotrophic factor (BDNF) and the phosphorylation of its specific receptor tropomyosin receptor kinase B (p-TrKB). In addition, there was a marked reduction in the expression of NeuN (neuronal nuclear protein) in the Aβ-injected mice brains (cortex and hippocampus). Interestingly, the expression of Nrf2 (nuclear factor erythroid 2–related factor 2), HO-1 (heme oxygenase-1), p-TrKB, BDNF, and NeuN was markedly enhanced in the Aβ + Cycloastragenol co-treated mice brains. We have also evaluated the expressions of MAP kinases such as phospho c-Jun-N-terminal kinase (p-JNK), p-38, and phospho-extracellular signal-related kinase (ERK1/2) in the experimental groups, which suggested that the expression of p-JNK, p-P-38, and p-Erk were significantly upregulated in the Aβ-injected mice brains; interestingly, these markers were downregulated in the Aβ + Cycloastragenol co-treated mice brains. We also checked the expression of activated microglia and inflammatory cytokines, which showed that cycloastragenol reduced the activated microglia and inflammatory cytokines. Moreover, we evaluated the effects of cycloastragenol against mitochondrial apoptosis and memory dysfunctions in the experimental groups. The findings showed significant regulatory effects against apoptosis and memory dysfunction as revealed by the Morris water maze (MWM) test. Collectively, the findings suggested that cycloastragenol regulates oxidative stress, neurotrophic processes, neuroinflammation, apoptotic cell death, and memory impairment in the mouse model of AD.

(1) Background: A quest for a highly sensitive and reliable humidity monitoring system for a diverse variety of applications is quite vital. Specifically, the ever-increasing demand of humidity sensors in applications ranging from agriculture to healthcare equipment (to cater the current demand of COVID-19 ventilation systems), calls for a selection of suitable humidity sensing material. (2) Methods: In the present study, the TPPNi macromolecule has been synthesized by using a microwave-assisted synthesis process. The layer structure of the fabricated humidity sensor (Al/TPPNi/Al) consists of pair of planar 120 nm thin aluminum (Al) electrodes (deposited by thermal evaporation) and ~160 nm facile spin-coated solution-processable organic TPPNi as an active layer between the ~40 µm electrode gap. (3) Results: Electrical properties (capacitance and impedance) of sensors were found to be substantially sensitive not only on relative humidity but also on the frequency of the input bias signal. The proposed sensor exhibits multimode (capacitive and conductometric) operation with significantly higher sensitivity ~146.17 pF/%RH at 500 Hz and 48.23 kΩ/%RH at 1 kHz. (4) Conclusions: The developed Al/TPPNi/Al surface type humidity sensor’s much-improved detecting properties along with reasonable dynamic range and response time suggest that it could be effective for continuous humidity monitoring in multi environmental applications.

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics’ apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants’ leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

Abstract Background Insulin resistance (IR), known to reduce the response to insulin action, develops with obesity leading to type 2 diabetes mellitus (T2DM). The PC‐1 gene has been associated with dyslipidemia, polycystic ovarian disease and T2DM in different regions of the world. The objective of the present study was to investigate the genetic association of PC‐1 rs1044498 polymorphism with insulin resistance in type 2 diabetes in the Punjabi population of Pakistan. Methods This study was carried out on 161 healthy controls and 161 patients of T2DM with insulin resistance. Whole blood was collected for DNA extraction and molecular studies. PCR‐RFLP with AvaII was performed to determine the genotype in cases and controls. Chi‐square and Hardy Weinberg analyses were carried out. Statistical analysis was performed by SPSS software. Results The demographic data of cases and controls showed significant differences for different parameters like glucose, insulin, Homeostatic model assessment‐insulin resistance (HOMA‐IR) and lipid profiles (p

Recent advances in tissue engineering have potential for the development of improved substitutes for damaged skin tissues. Vitamin C and lactic acid are well-known wound healing accelerators while chitosan is an important biomaterial having wound healing capabilities. However, addition of vitamin C induces fragility to the chitosan–lactic acid membranes. Therefore, the current study was designed to fabricate an intact chitosan–vitamin C–lactic acid composite membrane that may synergize the critical properties of every individual component for potential skin tissue engineering. For this purpose, different concentrations of glycerol and polyethylene glycol (PEG) were added to strengthen the chitosan–vitamin C–lactic acid membranes. The prepared membranes were characterized by Fourier transform infrared spectroscopy, X–ray diffraction, and field emission scanning electron microscopy. Moreover, the biocompatibility of the prepared membranes was evaluated with fibroblast NIH 3T3 cells. The results showed that addition of glycerol and PEG has improved the strength of chitosan–vitamin C–lactic acid composite membrane. Characterization studies revealed the successful synthesis of chitosan–vitamin C–lactic acid composite membrane. Moreover, the prepared membranes showed excellent biocompatibility with NIH 3T3 cells. However, it is important to note that cells showed more attachment and spreading on porous chitosan composites membranes as compared to nonporous membranes. This study provided a base for the development of an intact chitosan–vitamin C–lactic acid composite membrane for skin tissue engineering. However, further preclinical and clinical studies are required for its practical applications in skin tissue engineering.

Leitner was Hungarian by birth and “an Austrian Subject”. As an intelligent young student he learnt the major languages of the Islamic countries (e.g. Arabic, Turkish, Persian and later on Urdu) and completed the Islamic studies from the well-known madrassahs of Istanbul. After migration to England (September 1858), he first got admitted in King’s College, London, where, later on, he became the Professor of Arabic studies. In 1862, he decided to surrender his Austro-Hungarian citizenship and tried to get the naturalization of England. For this purpose, he completed all the relevant procedural formalities and finally succeeded in becoming citizen of Great Britain afterwards. Luckily, all the hand-written documents relating to his case of naturalization are safely preserved in the library of the Public Record Office, London.1 Still unpublished, all the material, contained in this file is being revealed in this article.

Chronic neuroinflammation is responsible for multiple neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. Lipopolysaccharide (LPS) is an essential component of the gram-negative bacterial cell wall and acts as a potent stimulator of neuroinflammation that mediates neurodegeneration. Quercetin is a natural flavonoid that is abundantly found in fruits and vegetables and has been shown to possess multiple forms of desirable biological activity including anti-inflammatory and antioxidant properties. This study aimed to evaluate the neuroprotective effect of quercetin against the detrimental effects of LPS, such as neuroinflammation-mediated neurodegeneration and synaptic/memory dysfunction, in adult mice. LPS [0.25 mg/kg/day, intraperitoneally (I.P.) injections for 1 week]-induced glial activation causes the secretion of cytokines/chemokines and other inflammatory mediators, which further activate the mitochondrial apoptotic pathway and neuronal degeneration. Compared to LPS alone, quercetin (30 mg/kg/day, I.P.) for 2 weeks (1 week prior to the LPS and 1 week cotreated with LPS) significantly reduced activated gliosis and various inflammatory markers and prevented neuroinflammation in the cortex and hippocampus of adult mice. Furthermore, quercetin rescued the mitochondrial apoptotic pathway and neuronal degeneration by regulating Bax/Bcl2, and decreasing activated cytochrome c, caspase-3 activity and cleaving PARP-1 in the cortical and hippocampal regions of the mouse brain. The quercetin treatment significantly reversed the LPS-induced synaptic loss in the cortex and hippocampus of the adult mouse brain and improved the memory performance of the LPS-treated mice. In summary, our results demonstrate that natural flavonoids such as quercetin can be beneficial against LPS-induced neurotoxicity in adult mice.

Herein, we demonstrate a facile and green route for the synthesis of silver nanoparticles (AgNPs) from silver nitrate and seed extracts of different vegetable seeds of Brassicaceae family. All the nanocomposites were fully characterized in the solid-state via various techniques such UV–vis spectrophotometer (UV–Vis); x-ray diffraction (XRD), High-resolution transmission electron microscopy (HR-TEM), energy-dispersive x-ray spectroscopy (EDS), and Fourier transform infrared (FTIR) spectrometry. The experimental parameters such as variation in seeds extract concentration, temperature, stirring time and pH were noted and optimum condition of concentration (20 ml), temperature (80 °C) and pH 8.5 was selected for the synthesis of NPs. Optical absorbance of AgNPs at ≈425 nm indicated the formation of metallic silver through surface plasmon resonance. The successful capping of biological macromolecules was confirmed by FTIR spectroscopy. XRD pattern depicted the formation of face-centered cubic silver nano-composite with average crystal size ranges from ≈14–20 nm. Bio-synthesized Ag nanoparticles showed enhanced antibacterial potential against gram-positive ( B. safensis , B. subtilis , B. pumilis and S. aureus ) and negative gram ( E. coli and S.typhi ) strains by disc diffusion method. Highest antimicrobial activity was given by sample S3 (17 mm) against B . pumilis whereas, sample S2 and S5 also showed significant bactericidal potential against B . pumilis that is 15 mm. While highest zone of inhibition for sample S1 and S4 is 14 mm.

Cold-chain products are time-sensitive and perishable and pose the risk of failure if they are transported to a distant location. Thus, there is a need to analyze their quality during distribution so that the customers may receive optimal-quality products. To address this issue, this study integrates inspection strategies with the sustainable distribution system of multi-quality multiple-cold-chain products. A bi-objective model of cost and emission is proposed under the constraints of heterogeneous vehicle and time window. Furthermore, this study intends to address the following questions: which inspection strategy helps to ensure the potency of delivered products, and what is the impact of quality differentiation on the value of objective functions? A set of meta-heuristics is used for implementing the model using a rich panel of experiments. The results reveal that the quality conditions of different products impact the solutions of cost and emissions. Moreover, the conformity strategy is more viable, as it results in less cost and ensures that the quantity of delivered products meets the level of demand. Finally, the study provides implications for managers and practitioners to develop a sustainable distribution system to maintain the quality of cold-chain products.

The limestone of Eocene age Laki Formation of Matyaro Jabal area, Lakhi Range SindhPakistan has been studied to see different sedimentary features and diagenetic overprinting. The most diagnostic diagenetic feature of the Laki Formation is the formation of strata bound dolostone over extensive area. The dolostone beds which are separated by non-dolomitic limestone have developed at three different stratigraphic levels whose thickness vary from few centimeters to about 5 meters. Interbedded non dolomitic limestone is characterized by highly fossiliferous to less fossiliferous white chalky limestone with significant secondary porosity. The dolostone beds make lower erosional contact with chalky limestone while upper contact is sharp as well as transitional. The dolostone beds are very hard to soft with well developed dissolution cavities and karstification horizons. As a result of dolostone formation, the primary sedimentary features of rock fabrics and bioclasts are poorly preserved. However, few bioclastic grains show partial preservation with enhanced dissolution and biomoldic porosity. Dolomitization and different porosity types such as; intragranular, vuggy, molidic, intercrystalline, fracture and fenestral have made the limestone of Laki Formation as potential hydrocarbon reservoir rock. The mechanism of stratabound dolostone formation within Laki Formation is due to the mixing of seawater and fresh water with optimum Mg:Ca ratio. The Mg rich sea-water circulated through highly porous and permeable strata which was responsible for stratabound dolostone formation in the Laki Formation. The extrinsic factors such as sea level fluctuations and tectonics also played a vital role for dissolution along with porosity and permeability enhancement followed by dolomitization.

Soybean is an important oilseed crop that provides high-quality protein and vegetable oil. Salinity constitutes a negative abiotic factor that reduces soybean plant growth, production, and quality. The adsorption of Na+ by chitosan-modified biochar (CMB) has a significant effect on salinity but the application of CMB is limited in soybean. In the current study, CMB was used for characterization of physiological, biochemical, and molecular responses of soybean under salt stress. Comparison of CMB and unmodified (as-is) biochar (BR) demonstrated a significant difference between them shown by using Fourier transform infrared spectroscopy (FTIR), scan electron microscopy (SEM), Brunauer–Emmett–Teller (BET), elemental analysis and z-potential measurement. Pseudo-first and second-order better suited for the analysis of Na+ adsorption kinetics. The salt-stress reduced the soybean plants growth, root architecture characteristics, biomass yield, nutrients acquisition, chlorophyll contents, soluble protein, and sugar contents, while CMB with salt-stress significantly increased the above parameters. Moreover, CMB also reduced the salinity-induced increase in the Na+, glycine betaine (GB), proline, hydrogen peroxide (H2O2), and malondialdehyde (MDA) levels in plants. The antioxidant activity and gene expression levels triggered by salinity but with the application of CMB significantly further boosted the expression profile of four genes (CAT, APX, POD and SOD) encoding antioxidant enzyme and two salt-tolerant conferring genes (GmSALT3 and CHS). Overall, these findings demonstrate the crucial role of CMB in minimizing the adverse effects of high salinity on soybean growth and efficiency of the mechanisms enabling plant protection from salinity through a shift of the architecture of the root system and enhancing the antioxidant defense systems and stress-responsive genes for achieving sustainable crop production.

This paper reviews the results of studies conducted on the role of caffeine in the management of different neurological disorders, such as Parkinson’s disease (PD) and Alzheimer’s disease (AD). To highlight the potential role of caffeine in managing different neurodegenerative diseases, we identified studies by searching PubMed, Web of Science, and Google Scholar by scrutinizing the lists of pertinent publications. According to the collected overall findings, caffeine may reduce the elevated oxidative stress; inhibit the activation of adenosine A2A, thereby regulating the accumulation of Aβ; reduce the hyperphosphorylation of tau; and reduce the accumulation of misfolded proteins, such as α-synuclein, in Alzheimer’s and Parkinson’s diseases. The studies have suggested that caffeine has promising protective effects against different neurodegenerative diseases and that these effects may be used to tackle the neurological diseases and/or their consequences. Here, we review the ongoing research on the role of caffeine in the management of different neurodegenerative disorders, focusing on AD and PD. The current findings suggest that caffeine produces potent antioxidant, inflammatory, and anti-apoptotic effects against different models of neurodegenerative disease, including AD, PD, and other neurodegenerative disorders. Caffeine has shown strong antagonistic effects against the adenosine A2A receptor, which is a microglial receptor, and strong agonistic effects against nuclear-related factor-2 (Nrf-2), thereby regulating the cellular homeostasis at the brain by reducing oxidative stress, neuroinflammation, regulating the accumulation of α-synuclein in PD and tau hyperphosphorylation, amyloidogenesis, and synaptic deficits in AD, which are the cardinal features of these neurodegenerative diseases.

Neurodegenerative disorders have emerged as a serious health issue in the current era. The most common neurodegenerative disorders are Alzheimer’s disease (AD), Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis (ALS). These diseases involve progressive impairment of neurodegeneration and memory impairment. A wide range of compounds have been identified as potential neuroprotective agents against different models of neurodegeneration both in vivo and in vitro. Hesperetin, a flavanone class of citrus flavonoid, is a derivative of hesperidin found in citrus fruits such as oranges, grapes, and lemons. It has been extensively reported that hesperetin exerts neuroprotective effects in experimental models of neurodegenerative diseases. In this systematic review, we have compiled all the studies conducted on hesperetin in both in vivo and in vitro models of neurodegeneration. Here, we have used an approach to lessen the bias in each study, providing a least biased, broad understanding of findings and impartial conclusions of the strength of evidence and the reliability of findings. In this review, we collected different papers from a wide range of journals describing the beneficial effects of hesperetin on animal models of neurodegeneration. Our results demonstrated consistent neuroprotective effects of hesperetin against different models of neurodegeneration. In addition, we have summarized its underlying mechanisms. This study provides the foundations for future studies and recommendations of further mechanistic approaches to conduct preclinical studies on hesperetin in different models.

Neurodegenerative disorders, namely Parkinson’s disease (PD), Huntington’s disease (HD), Alzheimer’s disease (AD), and multiple sclerosis (MS), are increasingly major health concerns due to the increasingly aged population worldwide. These conditions often share the same underlying pathological mechanisms, including elevated oxidative stress, neuroinflammation, and the aggregation of proteins. Several studies have highlighted the potential to diminish the clinical outcomes of these disorders via the administration of herbal compounds, among which gintonin, a derivative of ginseng, has shown promising results. Gintonin is a noncarbohydrate/saponin that has been characterized as a lysophosphatidic acid receptor (LPA Receptor) ligand. Gintonin may cause a significant elevation in calcium levels [Ca2+]i intracellularly, which promotes calcium-mediated cellular effects via the modulation of ion channels and cell surface receptors, regulating the inflammatory effects. Years of research have suggested that gintonin has antioxidant and anti-inflammatory effects against different models of neurodegeneration, and these effects may be employed to tackle the neurological changes. Therefore, we collected the main scientific findings and comprehensively presented them, covering preparation, absorption, and receptor-mediated functions, including effects against Alzheimer’s disease models, Parkinson’s disease models, anxiety and depression-like models, and other neurological disorders, aiming to provide some insights for the possible usage of gintonin in the management of neurodegenerative conditions.

Our research work was designed to investigate the curative and preventive effects of Carthamus oxycantha root extract against diarrhea and microorganisms. For the antibacterial experiment, the agar well diffusion method was used against standard bacteria Staphylococcus aureus, Escherichia coli, Pseudomonas aeroginosa, and Salmonella typhi, while for the assessment of antidiarrheal activity, castor oil and the magnesium sulfate-induced diarrhea method was used on albino, laboratory-bred (BALB/c) mice at a dose rate of 200 and 400 mg/kg (body weight, b.w) orally. The methanol extract of C. oxycantha significantly (p < 0.001) decreased the frequency of defecation, and wet stools in a dose depended on the manner of after receiving magnesium sulfate (2 g/kg (b.w)) and castor oil (1.0 mL/mice). Furthermore, the extract of C. oxycantha showed concentration-dependent antimicrobial properties against S. aureus followed by S. typhi, E. coli, and P. aeroginosa bacterial strains, with inhibitions ranging from 10.5–15 mm. These findings show significant results that C. oxycantha is effective as an antidiarrheal and antibacterial agent. However, further works are needed to establish its mode of action.

Rett syndrome is a rare inherited neurodegenerative disease which mostly affects females but has a lethal impact on males. Rett syndrome is mostly caused by mutations of Methyl CpG binding protein-2 (MECP2) gene located on chromosome Xq28. A 7-year girl from a consanguineous Pakistani family presented with history of abnormal social behavior, tonic colonic seizures, limb'sataxia, intellectual disability, growth retardation and speech abnormalities. Physical and neurological examinations established likely clinical features of Rett syndrome with abnormal electroencephalogram (EEG). Genetic testing of MECP2 gene did not identify any functional nucleotide variation indicating the involvement of another gene mutation in this patient. A consanguineous case of Rett syndrome did not carry the mutation of MECP2 gene. Due to heterogeneity of the phenotype, it is proposed that there might be involvement of another locus for this disease. In future, targeted next generation sequence can be helpful to identify the causative mutation in this patient.

The human gut is a safe environment for several microbes that are symbiotic and important for the wellbeing of human health. However, studies on gut microbiota in different animals have suggested that changes in the composition and structure of these microbes may promote gut inflammation by releasing inflammatory cytokines and lipopolysaccharides, gut-wall leakage, and may affect systemic inflammatory and immune mechanisms that are important for the normal functioning of the body. There are many factors that aid in the gut’s dysbiosis and neuroinflammation, including high stress levels, lack of sleep, fatty and processed foods, and the prolonged use of antibiotics. These neurotoxic mechanisms of dysbiosis may increase susceptibility to Alzheimer’s disease (AD) and other neurodegenerative conditions. Therefore, studies have recently been conducted to tackle AD-like conditions by specifically targeting gut microbes that need further elucidation. It was suggested that gut dyshomeostasis may be regulated by using available options, including the use of flavonoids such as anthocyanins, and restriction of the use of high-fatty-acid-containing food. In this review, we summarize the gut microbiota, factors promoting it, and possible therapeutic interventions especially focused on the therapeutic potential of natural dietary polyflavonoid anthocyanins. Our study strongly suggests that gut dysbiosis and systemic inflammation are critically involved in the development of neurodegenerative disorders, and the natural intake of these flavonoids may provide new therapeutic opportunities for preclinical or clinical studies.

Flavonoids are a class of natural substances present in plants, fruits, vegetables, wine, bulbs, bark, stems, roots, and tea. Several attempts are being made to isolate such natural products, which are popular for their health benefits. Flavonoids are now seen as an essential component in a number of cosmetic, pharmaceutical, and medicinal formulations. Quercetin is the major polyphenolic flavonoid found in food products, including berries, apples, cauliflower, tea, cabbage, nuts, and onions that have traditionally been treated as anticancer and antiviral, and used for the treatment of allergic, metabolic, and inflammatory disorders, eye and cardiovascular diseases, and arthritis. Pharmacologically, quercetin has been examined against various microorganisms and parasites, including pathogenic bacteria, viruses, and Plasmodium, Babesia, and Theileria parasites. Additionally, it has shown beneficial effects against Alzheimer’s disease (AD), and this activity is due to its inhibitory effect against acetylcholinesterase. It has also been documented to possess antioxidant, antifungal, anti-carcinogenic, hepatoprotective, and cytotoxic activity. Quercetin has been documented to accumulate in the lungs, liver, kidneys, and small intestines, with lower levels seen in the brain, heart, and spleen, and it is extracted through the renal, fecal, and respiratory systems. The current review examines the pharmacokinetics, as well as the toxic and biological activities of quercetin.

In this work, we evaluated the effects of alpha linoleic acid (ALA), an omega-3 polyunsaturated fatty acid, on amyloid-beta-induced glial-cell-mediated neuroinflammation, amyloidogenesis, and cognitive dysfunction in mice. After an infusion of Aβ1−42 (Aβ1−42, 5 μL/5 min/mouse, intracerebroventricular injection (i.c.v), and respective treatments of ALA (60 mg/kg per oral for six weeks), neuroinflammation, apoptotic markers, and synaptic markers were evaluated by Western blot and immunofluorescence analyses. According to our findings, the infusion of Aβ1−42 activated Toll-like receptor 4 (TLR4), glial fibrillary acidic protein (GFAP), and ionized calcium adaptor molecule 1 (Iba-1) in the frontal cortices and hippocampi of the Aβ1−42-injected mice to a greater extent than the Aβ1−42 + ALA-cotreated mice. Similarly, there was an elevated expression of phospho-c-Jun-N-terminal kinase (p-JNK), phospho-nuclear factor-kB p65 (p-NF-kB p65 (Ser536)), and tissue necrosis factor (TNF) in the Aβ1−42 infused mouse brains; interestingly, these markers were significantly reduced in the Aβ + ALA-cotreated group. The elevated expression of pro-apoptotic markers was observed during apoptotic cell death in the Aβ1−42-treated mouse brains, whereas these markers were markedly reduced in the Aβ + ALA-cotreated group. Moreover, Aβ1−42 infusion significantly increased amyloidogenesis, as assessed by the enhanced expression of the amyloid precursor proteins (APP) beta-amyloid cleaving enzyme-1 (BACE-1) and amyloid-beta (Aβ1−42) in the mouse brains, whereas these proteins were markedly reduced in the Aβ + ALA-cotreated group. We also checked the effects of ALA against Aβ-triggered synaptic dysfunction and memory dysfunction, showing that ALA significantly improved memory and synaptic functions in Aβ-treated mouse brains. These results indicated that ALA could be an applicable intervention in neuroinflammation, apoptotic cell loss, amyloidogenesis, and memory dysfunction via the inhibition of TLR4 and its downstream targets in Aβ + ALA-cotreated mouse brains.

Tungstate based nanomaterials have emerged as important class in transition metal oxide. In this study, Lead tungstate (PbWO _4 ) nanostructures with lamellar morphology were prepared by hydrothermal method. The synthesized materials were characterized by XRD, SEM, FTIR, DLS, BET and PL. Nitrogen adsorption-desorption measurements indicated that the surface area of the synthesized lamellar morphology was ∼86.225 m ^2 g ^−1 . The lamellar-like morphology showed enhanced peroxidase-like activity owing to the large surface area, higher substrate interaction and efficient electron transportation. The results indicated higher reaction velocity (V _max = 13.56 × 10 ^−8 M s ^−1 ) and low Michaelis-Menten constant (km = 0.325 mM) value for nanostructures, providing evidence for higher affinity of novel structures towards the substrate and increased peroxidase-like activity. Finally, biocompatibility test was conducted by performing cytotoxicity experiments of PbWO _4 nanostructures on MTT assays.

Abstract Natural cationic polymer has remained of great interest to researchers in drug delivery as well as other fields. Their easy availability, flexible properties and biocompatibility make them favorable candidates for therapeutic use. This review is mainly focused on natural cationic polymers with emphasis on their origin, types, different properties and use in drug delivery. Some progress made in the fields of drug as well as gene delivery and tissue engineering applications have been also discussed.

Heavy metals contaminated soil is a serious environmental concern that has a negative impact on agriculture and ecosystem. Economical and efficient ways are needed to address this problem worldwide. In this regard, exploration and application of proficient microbial strains that can help the crop plants to thrive in agricultural soils that are greatly contaminated with heavy metals. The present study mainly focused on the effect of IAA producing endophytic fungi Penicillium ruqueforti Thom., on wheat plants cultivated in soil rich in heavy metals (Ni, Cd, Cu, Zn, and Pb). P. ruqueforti has induced great resistance in wheat inoculated plants grown in heavy metal contaminated soil. Application of the isolated strain of P. ruqueforti restricted the transfer of heavy metals from soil to the plants by secreting indole acetic acid (IAA). Furthermore, P. ruqueforti inoculated wheat seedlings watered with waste water had higher plant growth, nutrient uptake and low concentrations of heavy metals in shoot and roots. On the contrary, non-inoculated wheat plants under heavy metal stress had stunted growth with symptoms of chlorosis. From the results, it is concluded that P. ruqueforti inoculation can establish a symbiotic relationship with host plants, which is useful for phytostabilization of heavy metals or in other words helping the host crops to flourish through soil that are highly contaminated with heavy metals.

Research regarding MAT (Mobile Application Testing) in Pakistan is hard to discover and to the best of our knowledge, no work has been done in surveying MAT in Pakistan. In this work, we have examined the current trend and status of MAT in Pakistan. Main objective was to investigate to what extent MAT is currently applied in Pakistan software companies and what experience the companies have with using MAT. Furthermore, efforts were made to find out what testers think about MAT, e.g. issue, advantages and disadvantages of MAT, what factors affects MAT and how they plan to improve MAT. In order to achieve our objectives, we used a comprehensive online survey so we converted our research questions into correspondence survey questions. We served a questionnaire of the survey to 66 testing relevant officials of leading software companies in different cities of Pakistan to develop a model study about general trend and status of MAT which can be generalized all over Pakistan. We received 56 replies in total after over 2 months. After that, we used SPSS tool to analyze the replies of this questionnaire. Cross-Tabulation Analysis and Pearson Chi-square tests have been computed to examine the results. We found some interesting results on current status and practice of MAT in Pakistan software companies.

Patients on hemodialysis (HD) are usually anemic because of defective erythropoeisis. Hepcidin is a polypeptide that regulates iron homeostasis and could serve as an indicator of functional iron deficiency in patients with end-stage renal disease (ESRD); this may also aid in the assessment of patient′s response to erythropoietin (EPO). The present study was directed to investigate serum levels of hepcidin, iron status and inflammation markers such as C-reactive protein (CRP) in patients with ESRD on maintenance HD and to observe the correlation of serum hepcidin with conventional iron and inflammatory markers. A total of 42 patients of both sexes on maintenance HD and EPO therapy were enrolled; 42 ageand sex-matched healthy subjects were included as controls. Laboratory tests including complete blood count, serum hepcidin, total iron binding capacity (TIBC), serum ferritin, serum iron and CRP were performed. Serum hepcidin levels were significantly higher in patients with ESRD than in the control group (18.2 ± 2.8 ng/mL and 8.5 ± 2.3 ng/mL, respectively P = 0.000). The hemoglobin, hematocrit, serum iron, TIBC and transferrin saturation levels in the patient group were significantly lower than in the control group. Higher hepcidin levels were found in EPO non-responders (19.6 ± 2.4 ng/mL) while lower levels (16.9 ± 2.5 ng/mL) were seen in responders (P = 0.001). A positive and significant correlation was observed between the values of serum hepcidin and CRP. Our study indicates that higher hepcidin levels are found in ESRD patients on HD and in those not responding to EPO. Our findings suggest that hepcidin might play a role in the pathophysiology of anemia associated with chronic diseases as well as EPO resistance.

Letter to the editor

Brown-Sequard Sendromu; ısıya ve ağrıya duyarlılığın kontralateral kaybının yanı sıra motor işlevinin ve propriyosepsiyonun yüksek oranda ipsilateral kaybı ile karakterize edilen tamamlanmamış omurilik yaralanmalarının bir tipidir. Yaralanma vakaları sonucunda ortaya çıkan dengedeki hasarlar bireyi omur kırıklıklarına veya başka omurilik yaralanmalararına neden olabilecek düşmelere meyilli hale getirebilir. Bu vaka rapor çalışmamızda önce keskin bir bıçakla boyuna hasar alması ile "Brown-Seqard Sendromu" oluşmuş daha sonra ise bu sendromun neden olduğu düşme sonucu LV1 kırığının meydana gelmesinden dolayı bir başka tamamlanmamış omurilik yaralanması ile "Cauda Equina Sendromu" oluşmuş bireyi sunmaktayız. Kırık, pedikül vida ile tespit edildi ve hastaya işlevsel aktiviteleri tek başına yapabilecek maksimum kazancı sağlamak için rehabilitasyon programı uygulandı.

Brown-Séquard Syndrome is a type of Incomplete Spinal Cord Injury characterized by a relatively greater ipsilateral loss of proprioception and motor function, with contralateral loss of pain and temperature sensations. The residual deficits in balance produced by such injury may render a person liable to fall that may result in vertebral fracture and another injury to the spinal cord. We present here a case who initially had Brown-Séquard Syndrome due to penetrating knife injury to the neck and later on developed Cauda Equina Syndrome (another Incomplete Spinal Cord Injury) due to fractured LV1 following a fall. The fracture was fixed through Pedicle Screws and the patient underwent effective rehabilitation to gain maximum achievable independence in functional activities. [Cukurova Med J 2014; 39(2.000): 392-398]

Herein, we assayed the antioxidant and anti-inflammatory potential of caffeine in a lipopolysaccharide (LPS)-injected mouse model of neurodegeneration and synaptic impairment. For this purpose, LPS was injected for two weeks on an alternate-day basis (250 µg/kg/i.p. for a total of seven doses), while caffeine was injected daily for four weeks (30 mg/kg/i.p/four weeks). According to our findings, there was a significant increase in the level of reactive oxygen species (ROS), as evaluated from the levels of lipid peroxidation (LPO) and ROS assays. Also, we evaluated the expression of nuclear factor erythroid-2-related factor 2 (Nrf2) and the enzyme hemeoxygenase 1 (HO-1) in the mouse groups and found reduced expression of Nrf2 and HO-1 in the LPS-treated mice brains, but they were markedly upregulated in the LPS + caffeine co-treated group. We also noted enhanced expression of toll-Like Receptor 4 (TLR4), phospho-nuclear factor kappa B (p-NF-kB), and phospho-c-Jun n-terminal kinase (p-JNK) in the LPS-treated mice brains, which was significantly reduced in the LPS + caffeine co-treated group. Moreover, we found enhanced expression of Bcl2-associated X, apoptosis regulator (Bax), and cleaved caspase-3, and reduced expression of B-cell lymphoma 2 (Bcl-2) in the LPS-treated group, which were markedly reversed in the LPS + caffeine co-treated group. Furthermore, we analyzed the expression of synaptic proteins in the treated groups and found a marked reduction in the expression of synaptic markers in the LPS-treated group; these were significantly upregulated in the LPS + caffeine co-treated group. In summary, we conclude that caffeine may inhibit LPS-induced oxidative stress, neuroinflammation, and synaptic dysfunction.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

Please note that following publication of the original article [1], these three sentences have been removed from the Background section of the article.

Oxidative stress and energy imbalance strongly correlate in neurodegenerative diseases. Repeated concussion is becoming a serious public health issue with uncontrollable adverse effects in the human population, which involve cognitive dysfunction and even permanent disability. Here, we demonstrate that traumatic brain injury (TBI) evokes oxidative stress, disrupts brain energy homeostasis, and boosts neuroinflammation, which further contributes to neuronal degeneration and cognitive dysfunction in the mouse brain. We also demonstrate that melatonin (an anti-oxidant agent) treatment exerts neuroprotective effects, while overcoming oxidative stress and energy depletion and reducing neuroinflammation and neurodegeneration. Male C57BL/6N mice were used as a model for repetitive mild traumatic brain injury (rmTBI) and were treated with melatonin. Protein expressions were examined via Western blot analysis, immunofluorescence, and ELISA; meanwhile, behavior analysis was performed through a Morris water maze test, and Y-maze and beam-walking tests. We found elevated oxidative stress, depressed phospho-5′AMP-activated protein kinase (p-AMPK) and phospho- CAMP-response element-binding (p-CREB) levels, and elevated p-NF-κB in rmTBI mouse brains, while melatonin treatment significantly regulated p-AMPK, p-CREB, and p-NF-κB in the rmTBI mouse brain. Furthermore, rmTBI mouse brains showed a deregulated mitochondrial system, abnormal amyloidogenic pathway activation, and cognitive functions which were significantly regulated by melatonin treatment in the mice. These findings provide evidence, for the first time, that rmTBI induces brain energy imbalance and reduces neuronal cell survival, and that melatonin treatment overcomes energy depletion and protects against brain damage via the regulation of p-AMPK/p-CREB signaling pathways in the mouse brain.

Xylanases are enzymes that degrade Xylan, a hemicellulose found in plant cell walls, into Xylose. They are a very important class of enzymes to be used in paper and pulp industry. Removal of lignin from paper and pulp by Chlorine and its compounds have caused a serious problem in the environment. Delignification of lignin by Xylanase is an alternative approach that is environmentally friendly. The present research was conducted to produce and characterize Xylanase from the fungus Aspergillus niger using agricultural wastes/byproducts like corn cobs, wheat bran and sugar cane bagasse with different concentrations. Submerged fermentation was carried out in 250ml Erlenmeyer flasks using Vogel’s medium at 37oC. Culture conditions like pH, temperature, incubation time and concentration of carbon sources were optimized to achieve maximum Xylanase production. Molecular weight was determined by SDS-PAGE to be 27.2KDa. It was revealed that the pH and thermal stability of Xylanase is very important for it to be used in industry.

The paper presentscomparative study of urease and alpha-amylase inhibitory activities in two varieties of Malus species, i.e. unripened apple and gold coloured ripe apple. It is very important to know the anti enzymatic potential of these two varieties because the enzyme inhibition can be therapeutic and cure illness caused by malfunctioning of some enzymes. Objectives of this study was to determine the presence of chemical constituents, their role and inhibition activities of urease and alpha-amylase in selected apple varieties. Gas Chromatograph-Mass Spectrometric (GC-MS) was used to identify their chemical constituents. Both varieties exhibited profound activities of urease and alpha-amylase that increased by the increase in the sample’s concentration. The IC50 (μg/mL) were 19.77, 19.60, 19.95 and 99.92 for red delicious and golden delicious respectively, whereas, thiourea standard was at 107.90 μg/mL. The IC50 of unripe and ripe fruits were respectively 0.063, 0.051, 0.06 and 0.065 μg/mL comparing with acarbose standard, i.e. 0.044 μg/mL. GC-MS confirmed the presence of 1-ethyl-3-methylbenzene, 1,2,3-trimethylbenzene, 4-methyl-2-furancarboxaldehyde, cymene, glyceric acid, 1-deoxy-2,4, 3,5-dimethylene-d-xylitol, 1,2-butanediol,1-(2-furyl)-2,3-dimethyl, 2,4-dihydroxy-2,5-dimethyl,1-3-furan-3-one 2,4-dihydroxy-2,5-dimethyl-3(2H)-furan-3-one and 2,3-dihydro-3,5-dihydroxy-6-methyl(4H)-pyran-4-one in the selected samples.