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The planar compact four port circularly polarized printed MIMO antenna described in this article is small and intended to support Wi-Fi and WiMAX applications. Suggested four E-shaped monopole elements make up the dual circularly polarized (CP) MIMO antenna that has two left hand CP (LHCP) elements and two right hand CP (RHCP) elements. An I shaped strip is used to join separate ground planes of designed E shaped monopole antenna to have same voltage levels. A good diversity performance is achieved with an envelope correlation coefficient (ECC) of less than 0.15. The 60 mm × 60 mm antenna is designed from FR4 material, which is inexpensive and has a 1.6 mm thickness. Using a high-frequency structure simulator (HFSS), the suggested MIMO antenna is designed and optimized. The measured findings demonstrate the circular polarization, 3-dB axial ratio beamwidth, impedance bandwidth of 2.11 GHz −2.42 GHz and 3.40 GHz-3.51 GHz, adequate axial ratio bandwidth (ARBW) of the suggested MIMO antenna along with high isolation of −17 dB, gain of 3.43 and 2.09 dBic at 2.4 GHz and 3.5 GHz respectively, TARC (Total active reflection coefficient) of less than 0 dB, a CCL (Channel capacity loss) of lesser than 0.4 bits/sec/Hz, and an MEG (Mean effective gain) value of less than 3 dB.

Abstract Background Psychiatric signs may be induced by the cytokine storm that is implicated in the immune response to coronavirus through neuro-inflammation. Survivors disclosed symptoms of obsessive–compulsive disorder, melancholy, anxiety, panic disorder, and post-traumatic stress disorder. For the first year following the SARS disease, they generally suffer from suicide and psychosis. Aim To evaluate the presence of cognitive impairment, anxiety disorders, and depression in adult survivors of COVID-19, 1 month and 3 months post-recovery. Method It is an observational longitudinal study. Forty-four COVID-19 survivor patients, with no past psychiatric history were evaluated at 3 months and 1 month after recovery. The Montreal Cognitive Impairment Basic (MoCA-B) was employed to evaluate cognitive impairment. However, anxiety and depressive disorders were identified via structured clinical interview for DSM IV, axis I (SCID-I) and their severity was examined by the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) consecutively. Results Regarding cognitive impairment, MoCA-B results showed a mean score of 25.95 ± 1.98 in the 1st interview and 27.7 ± 1.05 in the 2nd interview, with a marked change, P-value = 0.001. SCID-I showed that 43.2% of our sample was diagnosed with both anxiety and depression at 1 month post-recovery, with the improvement of some cases at 3 months to affect only 18.2%, showing a statistically significant difference, P-value = 0.036. The percentage of patients who suffered from sleep difficulties was 59.1% at 1st interview and 27.3% at 2nd interview. While 61.4% of patients suffered from fatigue and low concentration at 1st interview and went down to 31.8% at 2nd interview, showing a statistically significant difference, P-value

Abstract Background Cancer is a significant global health issue due to its high incidence and mortality rates. In recent years, the relationship between the human microbiota and cancer has garnered attention across various medical fields. This includes research into the microbial communities that influence cancer development, tumor-associated microorganisms, and the interactions between the microbiome and tumor, collectively referred to as the oncobiome. Methods The negative effects of secondary metabolites extracted from selected multidrug-resistant Gram-negative bacteria within the cancer microbiota were evaluated. These effects included carcinogenicity, mutagenicity, hepatotoxicity, nephrotoxicity, and sperm deformities observed in albino rats after one month of oral ingestion of these microbial extracts. Results Our findings in the present investigation revealed that among the bacterial community derived from the microbiota, Gram-negative bacteria accounted for 74.87% the total microbiota (146 out of 195) and their spectrum including Escherichia sp. (n = 36, 24.66%) followed by Acinetobacter sp. (n = 34, 23.29%), Stenotrophomonas sp. (n = 29, 19.86%), Pseudomonas sp. (n = 26, 17.81%) and Serratia sp. (n = 21, 14.38%), as the most prevalent pathogens. All isolates derived from the cancer microbiome exhibited multidrug resistance to a large number of conventional therapies. Out of them Serratia sp. Esraa 1, Stenotrophomonas sp. Esraa 2, Acinetobacter sp. Esraa 3, Escherichia sp. Esraa 4 and Pseudomonas sp. Esraa 5 strains showed multidrug resistant profile against all antibiotic classes under study including penicillins, cephalosporins, carbapenems, fluoroquinolones, β-lactamase inhibitors combinations, folate synthesis pathway inhibitors, phosphonic, aminoglycosides, polymyxins, tetracyclines, macrolides, and chloramphenicol antibiotics. The adverse effects of oral ingestion of their metabolites were evaluated in albino rats. They induced pronounced carcinogenesis along with severe raise in the inflammatory cytokines, hepatotoxicity, nephrotoxicity, mutagenicity along with sperm deformities in treated animals. Moreover, all metabolites showed marked cytotoxicity against human normal cell lines; human mammary epithelial (MCF10A), human lung fibroblasts (WI38) and human dermal fibroblasts (HDFs). Conclusion These bacterial strains isolated from the cancer microbiome may play significant roles in inducing cancer, inflammation, mutagenesis, hepatotoxicity, nephrotoxicity, and sperm abnormalities, along with histopathological changes in the treated animal groups by orally administrated metabolites in compared to the untreated group. Graphical Abstract

Abstract Aims The fibrosis‐4 index (FIB‐4) is a non‐invasive tool to assess fibrosis risk in chronic liver disease. We aimed to explore the relationship between the FIB‐4 index and long‐term major adverse cardiovascular events (MACE) in HCM patients. Methods and results Consecutive patients diagnosed with HCM were included. Patients were divided into two groups using a defined cutoff value established through a ROC analysis for predicting MACE (FIB‐4 ≥ 2.37 and FIB‐4

Abstract It has been established that the Hydrazone derivatives have important pharmacological effects. In the first step, hydrazine (NH2NH2) reacts with a compound containing a carbonyl group (C = O) in the presence of ethanol and heat, leading to the formation of hydrazone compound (H1). The second step is the formation of the Schiff base (H2) by the reaction of compound (H1) with indole, ethanol, and acetic acid, which contain a double bond (C = N). In the third step, the (H1) reacts with thiophene, ethanol, and acetic acid to form a compound (H3) containing multiple bonds between the indole and thiophene rings. The synthetic test compounds underwent characterization using TLC, IR, 1 H - NMR, and ¹3C NMR spectral examinations. Both compounds, H2 and H3, exhibit antioxidant activity at different concentrations (from 12.5 to 100 µgmL− 1), where the effect increases gradually with the increase in concentration. The compounds (H2 and H3) exhibited an apparent inhibitory effect on the growth of Staphylococcus aureus, Escherichia coli, and Candida albicans. Calculations have been performed for DFT, molecular docking, molecular dynamics simulations, and the ADMET protocol, and they are essential for describing the interaction and stability. In hydrazone derivatives, groups like amine, hydroxy, thiophene, and indole form hydrogen bonds and electrostatic interactions with amino acids such as arginine, lysine, glutamic acid, and aspartic acid. These interactions are crucial to evaluating the compound’s stability and its potential to inhibit enzyme activity. The results indicate that the compound shows strong binding and stability at the active site, making it a promising candidate for further studies as an anti-colon cancer agent.

Zinc (Zn) and iron (Fe) are necessary for structural and metabolic functions of the body like, immune competence, physical growth, reproductive function, and neurobehavioral development. The deficiency of micronutrients is a severe public health distress in nearly all developing countries which leads to the syndrome of malnutrition mostly in children and women. The present study was conducted to compare the effect of different levels of Fe and Zn on feed intake (FI), feed conversion ratio (FCR), daily egg production, and Fe and Zn depositions in the egg yolk of laying hens. For this purpose, 80 commercial laying birds were allocated into four groups consisting of four replicates each (n = 5). The basal ration was provided to the control group (C) while three different levels (100, 200, and 300 mg/kg diet/element) of Fe and Zn (1:1) were provided to the FZ100, FZ200, and FZ300 groups, respectively. Overall FI, hen day egg production, and FCR were not affected (p > 0.05). The Fe and Zn content in egg yolk were significantly increased in the FZ300 group after 4 weeks of supplementation. The cost per egg produced in response to different levels of Fe and Zn supplementation was not affected however a numerical increase in cost/egg was found in the FZ300 group. In conclusion, Fe and Zn supplementation (300 mg/kg diet/element) significantly enhanced the egg Fe and Zn contents without adversely affecting production parameters including FI, egg production, and FCR of laying hens.

Acanthospermum hispidum DC (Asteraceae), a traditional medicinal plant, plays a role as an alternative remedy for various diseases, such as bacterial and viral infections, jaundice, malaria, fever, gastrointestinal disorders, headache, convulsions, and snake bites. Flavonoids, alkaloids, saponins, tannins, terpenes, steroids, and cardioactive glycosides are the distinct classes of metabolites in the plant. Although A. hispidum was suggested as a promising antitumor phytomedicine, no studies identified its potential cytotoxic components. In this study, the cytotoxic compounds of A. hispidum were isolated using chromatographic techniques guided by in vitro MTT cytotoxicity assay against selected cancer cell lines; breast cancer (MCF7), colorectal adenocarcinoma (HT29), and hepatoblastoma (HepG2). The selective index (SI) was assessed on MRC5 (Normal human fetal lung fibroblast) cell line. The dichloromethane fraction (DCM) showed remarkable cytotoxic activity against MCF7 and HT29 (%Cell viability; 46.15 and 60.5, respectively). Hence, the main bioactive fraction from DCM was purified to afford two phytosterols; stigmasterol (1) and β-sitosterol (2), which were identified by 1-D and 2-D NMR spectroscopy. Cytotoxic evaluation of 1 and 2 revealed that β-sitosterol showed better selective cytotoxicity against MCF7 and HT29 (IC50 4.07 μg/mL, SI 2.63; IC50 4.52 μg/mL, SI 2.37) compared to stigmasterol (IC50 5.43 μg/mL, SI 1.38; IC50 4.21 μg/mL, SI 1.78), respectively. Bioinformatic assessments of drug-likeness and ADMET properties demonstrated that most criteria were obeyed by the investigated compounds except for their poor solubility, which recommended the preparation of special dosage forms, such as nanoformulation to enhance their oral bioavailability. Swiss Target prediction indicated that nuclear receptors represent the main target class (40%). Whereas caspase-3 stimulant activity (a key enzyme in apoptosis) was predicted by the PASS prediction tool as a potential anticancer mechanism. Our study suggests A. hispidum as a potential source of bioactive phytosterols and as a chemopreventive medicinal plant.

Abstract Background The active metabolite of vitamin A (retinol) is retinoic acid (RA). RA is essential for developing several organs as a signaling molecule that is tightly regulated during embryogenesis. We explored the teratogenic effects of RA on forebrain and spinal cord development modified by cyclin-dependent kinase inhibitor 1B (CDKN1B), as the mechanism underlying RA's teratogenic impacts requires further investigation. The study involved four groups of pregnant mice: the negative control group, the positive control group treated with dimethyl sulfoxide (DMSO) diluted in sunflower oil, the RA-treated group receiving a low dosage (5 mg/kg), and the RA-treated group receiving a high dosage (10 mg/kg). The treatment groups received daily intraperitoneal RA dissolved in DMSO and diluted with sunflower oil on gestational days 10.5, 11.5, and 12.5. On day 13.5 of pregnancy, the pregnant mice were euthanized by cervical dislocation, and immunohistochemical analyses of brain and spinal cord tissues were performed. Results Morphologically, we observed a decrease in the number of implantation sites and the presence of hematomas in several uterus areas in the high-dose RA (10 mg/kg) group. Additionally, RA was shown to cause adverse changes in uterine weight and length. RA treatment indicated elevated levels of CDKN1B expression in spinal cord development, the diencephalon, and the telencephalon. Conclusion Our findings demonstrated that by activating CDKN1B as an RA target gene for cell cycle arrest, an excess of RA during brain development in mouse embryos can induce cell undifferentiation during development.

Abstract Herein, a novel method is presented for enhancing the thermal desalination process of saline water and seawater using atmospheric pressure plasma (APP). The effect of APP treatment combined with thermal heating (APP-TH) on the energy consumption, conductivity, and pH of seawater and saline water is investigated. Utilizing scanning electron microscopy and X-ray diffractometry, the evolution of the morphology, structure, and chemical composition of precipitated crystals is characterized. The APP-TH method reduces the energy consumption for desalination by 40.5% for saline water and by 52.82% for seawater when compared to the TH-only method. The pH value remains approximately unchanged, decreasing slightly for the saline water from 7.1 for untreated saline water to 7.05 after APP-TH treatment. However, after APP-TH treatment, the pH value of the seawater increased slightly, from 7 to 7.8. The total dissolved salts decreased after APP-TH treatment, lowering the conductivity of the saline water from 65,000 µS/cm to 160 µS/cm and the conductivity of the seawater from 58,200 µS/cm to 243 µS/cm. Moreover, the size of precipitated crystals from saline water is 31.47 nm after APP-TH treatment, compared to 55.59 nm after TH-only treatment. They also dropped from 41 nm to 39.5 nm for seawater. Compared with traditional approaches, this research proposes an optimistic solution to address global potable water scarcity issues.

Dielectric resonator antennas have been demonstrated to be an efficient radiator, especially with the possibility of fabricating it at low cost based on 3-D printing technologies. However, they have two main limitations which are: their relatively small gain (about 5dBi) and narrow bandwidth. To enhance the gain of DRA, higher-order mode excitation can be utilized; however, typically this has a limit of a few dB increments besides its negative effects on the bandwidth. This study employs a cavity-backed slot to provide an appropriate feeding method for a cylindrical dielectric resonator antenna (CDRA). This design effectively facilitates the excitation of higher-order modes, resulting in a significant gain of up to 15 dBi, which is essential for many wireless systems that are unable to support larger aperture sizes through the standard use of arrays. Additionally, two modes are excited to keep a relatively broadband of about 15 %. The proposed design consists of a cylindrical dielectric placed on top of a cavity-backed slot that is excited by a coaxial probe soldered to the top patch of the cavity. With this feeding, a good matching is achieved for different dielectric resonator heights, hence, the gain can be adjusted easily without the need of reoptimizing the antenna or the feed structures. The design process is explained in addition to performing a sensitivity analysis of fabrication tolerances which confirms that the 3-D printer provides enough accuracy with a negligible effect on the antenna’s performance. Then a prototype with a medium length is fabricated and measured to provide high realized gain and impedance bandwidth of 11 dBi and 14.5 %, respectively. The measured data demonstrate the good performance of the antenna with great matching compared to the simulated ones. Furthermore, the antenna presents a good performance in terms of sidelobes and polarization. This proposed design outperforms other DRA designs based on higher-order modes.

Abstract Orthogonal time frequency selectivity is considered one of the most promising advanced waveforms for high-mobility conditions in beyond-fifth-generation networks. A high peak-to-average power ratio in orthogonal time frequency introduces nonlinearity and degrades the power amplifier performance. In this work, we propose a novel automatic amplitude reduction neural network algorithm combined with partial transmission sequence and selective mapping methods using the Vendermonde matrix for generating phase sequences. In a conventional selective mapping methods or partial transmission sequence, selecting an optimal phase increases the complexity, which is overcome via Vendermonde matrix in a proposed framework. The minimization of the peak-to-average power ratio is obtained at the double-stage process: in the first stage, the threshold amplitude is set, and the amplitude exceeding the threshold is reduced by using an automatic amplitude reduction neural network and then the partial transmission scheme or selective mapping methods. The simulation results reveal that, compared with the conventional algorithms, the proposed algorithms yield a significant peak average-to-power ratio, bit error rate, and power spectrum density performance.

ABSTRACT: This study aimed to discover how Echinacea powder extract (EPE), an antioxidant, affects the growth rate, body composition, and blood parameters in broilers as an alternative to antibiotics. In a completely randomized design study, 4 experimental groups received 280 broiler chicks, 5-days-old (Cobb 500). Each group was distributed into 7 replicates, each containing ten unsexed chicks. Four groups were randomly selected from the chicks; the first group (the control group) was given drinking water only. Conversely, the birds in treatments 2, 3, and 4 were supplemented with EPA in their drinking water. They received 1.0, 2.0, and 3.0 cm3 EPA/liter water every 3 d weekly until the end of the trial (30 d). Our findings found significant differences in avian mass between experimental treatments during growth phases. The control group weighed 887 g, while the 3.0 cm3 EPE group weighed 850 g. The Duncan test showed a difference in FI and FCR among those favoring the EPE groups. Our results showed no significant changes in carcass features, except for spleen, gizzard, and abdominal fat, with the 3.0 cm3 EPE group having weight-higher organs and lower abdominal fat. Also, the control had higher TP, albumin, and globulin levels, while the EPE diet increased ALT and AST and decreased TC, TG, LDL, and VLDL levels. Furthermore, EPE-containing diets resulted in higher IgG concentrations, lower MDA levels, and higher SOD activity compared to the control group. According to the ANOVA analysis, the water consumption rate did not significantly differ across the trial groups. It included adding EPE with 3.0 cm3 enhanced growth performance, carcass traits, and antioxidant activity to obtain health outcomes for end users.

This study evaluated the effects of Moringa oleifera leaf powder extract stabilized with zinc nanoparticles (ZnNPs-MLPE) as a natural growth promoter in broiler diets. Randomly assigned 264 one-day-old Ross 308 chicks to four different feeding treatments, with each group being subdivided into six replicates, each comprising 11 unsexed chicks. The control group was fed a basic diet without additives, while the experimental groups were supplemented with 1.0, 2.0, or 3.0 cm³ of ZnNPs-MLPE/L of diet. The findings demonstrated that 2.0 and 3.0 cm³/L ZnNPs-MLPE supplementation significantly enhanced live body weight (LBW) and weight gain (BWG). Feed intake (FI) and feed conversion ratio (FCR) did not show significant differences between the treated groups and the control, indicating that the additive did not negatively affect feed efficiency. However, an increase in abdominal fat was noted in the ZnNPs-MLPE treatments relative to the control. Blood analysis revealed that the ZnNPs-MLPE groups had significantly lower levels of ''total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL), and alanine transaminase (ALT) compared to the control group. In contrast, total protein (TP), albumin, and the albumin/globulin (A/G) ratio'' were higher in the ZnNPs-MLPE groups. Immunoglobulins IgY and IgM, as well as superoxide dismutase (SOD) levels, were elevated. Malondialdehyde (MDA) levels were reduced, indicating improved antioxidant capacity and immune function in the ZnNPs-MLPE-treated groups. In conclusion, supplementation with ZnNPs-MLPE at 2.0 and 3.0 cm³/L positively impacted broiler growth efficiency, antioxidant capacity, and immunological functionality. These findings support the potential of ZnNPs-MLPE as an effective natural growth enhancer for producing healthier poultry products.

ABSTRACT: This study aimed to discover how using nano artichoke leaf extract Stabilized with zinc Nanoparticles (ZnO-Nano-ALPE) as an alternative to antibiotics and an antioxidant in broiler feed affected their growth, meat quality, and blood. In a completely randomized design experiment, 210 1-day-old chicks (Arbor Acres) were assigned to three trial groups. Each group was subdivided into seven replicates, each with ten unsexed chicks. The groups formed were as follows: the control group received a basal diet without additives. In contrast, the ZnO-Nano-ALPE1 and ZnO-Nano-ALPE2 groups received a basal diet plus 1.0 and 2.0 cm3 of nano artichoke leaf extract ZnO-Nano-ALPE /kg diet, respectively. The results showed significant changes in LBW on days 28 and 31 of their lives, with the ZnO-Nano-ALPE groups showing the greatest changes. Variation analysis revealed no discernible changes between the treatment groups; however, there were notable variations in the calculated feed intake (FI) on days 29 and 31. There were no notable variations in carcass features between treatments, except for the percentage of carcass, dressing, thigh, heart, and intestine cecum in the control group. In addition, we found significant differences in total protein, albumin, and globulin levels between treatments, with the control group showing higher levels compared to the other two groups. The diet increased alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels and elevated cholesterol levels. The study revealed significant differences in immunoglobulins, Superoxide dismutase (SOD) and Malondialdehyde (MDA) levels among the treatments, with the 1.0 cm3 treatment group exhibiting the highest levels. Thus, adding ZnO-Nano-ALPE to growing chick feeds at 1.0 and 2.0 cm3 rates could improve productivity, some carcass characteristics, and blood parameters.

Significant advancements have been achieved in the field of computer vision pertaining to the detection of human faces. This technological development holds great potential for a wide range of applications including but not limited to identification, surveillance and expression recognition. Unconstrained face identification has been significantly improved by the advancements in Deep Learning algorithms (DL). However, the presence of severe occlusion is an ongoing obstacle particularly when it obstructs a substantial section of the facial area, resulting in the absence of crucial facial characteristics. Furthermore, the limited availability of comprehensive datasets containing substantially obscured faces exacerbates the problem, impeding the efficacy of face detection programs. This study presents a new methodology, which incorporates an advanced occluded face detection (OFD) model, in order to enhance feature extraction and detection network. A dataset was developed specifically for training and testing the model. The new dataset includes faces with significant occlusion. The utilization of contextual-based annotation approaches improves the depiction of crucial facial characteristics. The OFD model exhibits exceptional performance and attaining a notable accuracy rate of 57.84%, a precision rate of 73.70% and a recall rate of 42.63%. These results surpass those achieved by alternative methods such as YOLO-v3 and Mobilenet-SSD. This study shows the capacity to make substantial progress in detecting occluded faces, hence offering the ability to make a positive influence on the domains of identification, surveillance and expression recognition.

This work presents a novel compact two-port Vivaldi Non-uniform Slot MIMO Antenna (VNSMA) to overcome the challenges of traditional ultra-wideband (UWB) antennas, such as large size, limited bandwidth (BW), high mutual coupling, and suboptimal performance in wearable devices. Designed based on Vivaldi non-uniform slot profile antenna (VNSPA) theory, this antenna offers superior performance metrics and significantly advances wearable antenna technology. The novelty of this work is investigating different positions for the two compact UWB Vivaldi nonuniform Antennas (VNSAs) to get better performance with smaller sizes, wider impedance matching BW, and lower mutual coupling (MC) where side by side at an angle of 180ᵒ is determined to be the best configuration. Detailed parametric studies were performed on this configuration for better performance, where the MC was further reduced by etching the ground plane with a vertical slot between the two antennas and L slots around the Microstrip to Slot (M/S) transition, respectively. Furthermore, BW and gain enhancements were obtained by etching exponential tapered and triangular slots at its two edges. Using the Finite Integration Technique (FIT), Computer Simulation Technology (CST) software is used for the simulations in this work. The VNSMA is tested on a CST Gustav human phantom and gives excellent results with low specific absorption rate (SAR) values at several UWB frequencies. The proposed VNSMA provides good, measured outcomes of S11

Vertical Broken Access Control (VBAC) vulnerability is one of the most commonly identified issues in web applications, posing significant risks. Consequently, addressing this pervasive threat is crucial for ensuring system confidentiality and integrity. Broken access control attack detector (BACAD) is a novel framework that leverages advanced AI techniques to neutralize VBAC exploits and attacks in real-time using a dynamic and practical technique. The detection process consists of two steps. The first step is user role classification using an advanced artificial intelligence (AI) model created in a learning phase. The learning phase includes BACAD initial configuration and application user roles traffic generation used for AI model training. The AI model at the core of BACAD analyzes web requests and responses utilizing a robust feature extraction, and dynamic hyperparameter tuning to ensure optimal performance across diverse scenarios. The second step is the decision step, which determines whether the incoming request–response pair is benign or an attack by validating it vs the BACAD session information set. The evaluation against a spectrum of real-world and demonstration web applications highlights remarkable efficiency in detecting VBAC exploits, providing robust application protection against different sets of VBAC attacks. Furthermore, it shows that BACAD addresses the VBAC problem by presenting an applicable, dynamic, flexible, and technology-independent solution to counter VBAC vulnerability risks. Thus, BACAD contributes significantly to the ongoing efforts aimed at enhancing web application security.

Sensitive, simple, and accurate spectrophotometric methods have been developed for the assay of arrhythmias drug-dronedarone hydrochloride (DND) in bulk drug and pharmaceutical formulations. The proposed method is based on the oxidation reaction of DND with a known excess of cerium(IV) ammonium sulfate (Ce(IV)) as an oxidizing agent in acid medium, followed by the determination of the unreacted oxidant by adding a fixed amount of dye, e.g., amaranth (AM), methylene blue (MB), and indigocarmine (IC), followed by measuring the absorbance at 520, 664, and 610 nm, respectively. The effects of experimental conditions were studied and optimized. The beer's law was obeyed in the concentration ranges of 1.0–10, 1.0–15, and 1.0–8.0 μg mL-1 using AM, MB, and IC dyes, respectively, with a correlation coefficient ≥ 0.9992. The calculated molar absorptivity values are 3.6527 × 104, 3.1212 × 104, and 4.229 × 104 L mol-1 cm-1 using AM, MB, and IC dyes, respectively. The limits of detection and quantification were 0.30 and 1.0 µg mL-1, respectively, for the three methods. Intra-day and inter-day accuracy and precision of the methods have been evaluated. No interference was observed from the additives. The proposed methods were successfully applied to the assay of DND in tablet preparations and the results were statistically compared with those of the reported method by applying Student's t-test and F-test. The reliability of the methods was further ascertained by performing recovery studies using the standard addition method.

ABSTRACT: This study aimed to investigate the potential of free and nanoprotected rosemary essential oil (REO) as an antibiotic alternative in blood biochemistry, hematology, immune-antioxidant status, intestinal microbiology, and histomorphology of broilers. A total of 420 1-wk-old broiler chicks (Cobb) were randomly allotted into 7 treatments, each having 4 replicates of 15 chicks. The first group served as control received basal diet, while the second group was fed a basal diet plus 100 mg/kg enramycin and third group basal diet plus 150 mg/kg chitosan nanoparticles (CNPs). The fourth and fifth groups received diets supplemented with 100 mg and 200 mg free REO (F-REO)/kg diet. The sixth and seventh groups were supplemented with 100 mg and 200 mg nanoprotected REO (N-REO)/kg diet. Results revealed that supplementing nanoprotected REO significantly (P < 0.05) decreased the levels of blood cholesterol and low-density lipoproteins (LDL) compared to control and enramycin groups. The kidney and liver function parameters were not altered by adding free or nanoprotected REO to the diet. Both levels of nanoprotected REO significantly (P < 0.05) reduced heterophil: lymphocyte (H: L) ratio compared to all other groups. Birds receiving nanoprotected REO at 200 mg/kg diet had significantly (P ˂ 0.05) raised serum levels of immunoglobulin G (IgG) and immunoglobulin M (IgM) compared to control and other birds. Anti-SRBC titre and cell-mediated immunity improved significantly (P < 0.05) in nanoprotected REO groups. Supplementation of nanoprotected REO resulted in significantly (P < 0.05) higher values for superoxide dismutase (SOD), glutathione (GSH) and total antioxidant status (TAS). The caecal microbiota was improved in broiler birds fed diets supplemented with nanoprotected REO. The 200 mg nanoprotected REO/kg diet supplementation resulted in significantly (P < 0.05) better villus height (VH) and villus height: crypt depth (VH: CD) ratio in all the segments of the small intestine. In conclusion, feeding REO in nanoprotected form in a 200 mg/kg diet could be used as an antibiotic substitute to improve broiler chicken's lipid profile, immune-antioxidant status, and intestinal health.

ABSTRACT: The objective of the present study was to ascertain the influence of thyme leaf powder (TLP) on growth rate, carcass features, and blood indicators in broiler diets as a natural antioxidant and antibiotic substitute. A fully randomized design experiment divided 264-day-old broiler chicks (Ross 308) into 4 experimental groups. Six replicates of each group, each containing 11 unsexed chicks, were created. The following were the therapies: control group without additive (basal diet); TLP1, TLP2 and TLP3: basal diet + 1, 2 and 3 g thyme leaves powder/kg diet, respectively. Results showed that TLP added at 2 or 3 g/kg of feed significantly enhanced body weight gain (except for the period from 16 to 30 d of life), feed intake (except for the period from 1 to 15 d of life), and feed conversion ratio throughout study period. Furthermore, there was a significant decrease in creatinine and alanine aminotransferase (ALT) with different TLP levels, particularly at a 3 g TLP/kg diet. Compared with the control group, the birds' 2 g TLP/kg diet included the highest levels of albumin and total protein and A/G (albumin/globulin) ratio. Furthermore, the birds fed 1 g TLP/kg feed had the lowest concentrations of low-density lipoprotein (LDL) and total cholesterol (TC). Moreover, chicks fed all treatment diets containing TLP had higher IgY concentrations than the control group. Nevertheless, the group that was fed a diet including 2 g TLP/kg had the highest IgM levels. Additionally, the superoxide dismutase activity (SOD) levels were highest in the birds fed a 1g TLP/kg diet and minimum in the birds fed the control diet. Notably, malondialdehyde (MDA) levels were maximum in birds fed a control meal and lowest in birds with a diet containing 1 g of TLP/kg. We may conclude that using TLP in broiler diets increases the birds' immunity, productivity, and overall health, especially at level 2 g of TLP/kg diet.

ABSTRACT: This study examined the potential effects of adding red pepper oil (RPO) and radish oil (RO) to broiler diets on the animals' development, immune system performance, and activity of digestive enzymes. A total of 300 1-day of age unsexed Arbor Acre chicks were allotted to five treatment groups in a complete randomized design experiment. Each group had sixty chicks divided into five replicate groups, each of 12 chicks. The 1st group (control group) was given a basal diet without supplements. A combination of RPO and RO was added to the basal diet of the remaining four groups at escalating levels: 0.3, 0.6, 0.9, and 1.2 g/kg of feed, respectively. Compared to the control, body weight, weight gain, feed intake, and feed conversion ratio significantly improved by adding RPO and RO at 0.6 or 0.9 g/kg of feed. Additionally, with varying RPO and RO levels, there was a considerable reduction in uric acid, creatinine, and aspartate aminotransferase (AST). Birds fed 0.6 g/kg of RPO and RO had lower triglycerides and low-density lipoprotein (LDL). Furthermore, including RPO and RO in the diet mainly impacted the activity of digestive enzymes and antioxidant levels. In addition, thymus and spleen relative weights had been influenced considerably. Additionally, the group that was fed the RPO and RO diet at a 0.9 g/kg level had the highest levels of these immune system markers. Interestingly, chicks fed diets with 0.9 g/kg of RPO and RO showed the lowest levels of E. coli, Salmonella, and coliforms. Additionally, there was a trend of increasing lactic acid bacteria levels with higher concentrations of RPO and RO compared to the control group. We might conclude that the RPO and RO addition in broilers' diets maximizes their production and immunity.

This study investigated the effect of incorporating black soldier fly (BSF) larvae meal and oil on laying hens' performance, egg quality, serum profile, intestinal structure, and gut health. A total of 378 Lohmann laying hens (age 48 wk) were randomly assigned to 6 treatments with 3 replicates of 21 hens each. Following 7 d acclimation, the trail was conducted for 8 weeks. The dietary groups include: basal corn-soybean meal diet (S) without BSF (BSO) oil (S+BSO 0), S with BSF oil (S+BSO 100), BSF meal (9 %) without BSF oil (BSF 9+BSO 0), BSF meal (9 %) with BSF oil (BSF 9+BSO 100), BSF meal (18 %) without BSF oil (BSF 18+BSO 0), and BSF meal (18 %) with BSF oil (BSF 18+BSO 100). The results showed that the BSF 18 + BSO 100 diet significantly reduced egg weight (P < 0.001) compared to other dietary treatments. The addition of BSF meal reduced feed intake (P < 0.001) and the Haugh units (P < 0.05) in hens fed 18 % BSF meal with and without BSO. The jejunum villus area, crypt depth, and intestinal wall thickness increased with the increase in the inclusion of BSF larvae meal (P < 0.001). The ileum villus height, crypt depth and intestinal wall thickness increased (P < 0.001) at 9 % BSF meal and then decreased at 18 % BSF meal with and without BSF oil. The bacteria genera Ruminococcus, Clostridiales, Bacteroidales, Ruminococcus torques, and Intestinimonas were positively associated with the dietary treatments, while Prevotellaceae UCG-001, Clostridium, and Faecalibacterium were negatively associated with the dietary treatments. The inclusion of BSF meal and oil enriched the functional network of several pathways, including ascorbate and aldarate metabolism, D-arginine and D-ornithine metabolism, and fatty acid metabolism, highlighting the positive effects of BSF larvae meal and oil on the chicken gut microbiota. In conclusion, BSF meal at 9 % with BSF oil and BSF meal at 18 % without BSF oil can be incorporated into the diet without impairing the performance and gut health of laying hens.

Handover (HO) management in Heterogeneous Networks (HetNets) poses challenges arising from network densification and dynamic environmental behaviors. Existing HO decision algorithms struggle to efficiently utilize network resources and ensure a high-quality user experience amidst the complexity of HetNets and the burgeoning growth of mobile users. This paper introduces a robust and data-driven HO decision model designed to enhance HO performance in HetNets. Initially, a conventional HO decision algorithm is developed based on users' Reference Signal Received Power (RSRP) values in MATLAB. Various simulation cases explore different HO parameters to observe their impact on handover performance. To address these challenges, a data-driven HO decision model leveraging Long Short-Term Memory (LSTM), a deep learning technique, is proposed for the regression task. The LSTM model is trained and tested using obtained RSRP values, and the future RSRP values predicted by the model are employed to trigger HO decisions in the proposed algorithm. Results from the traditional HO decision algorithm are compared with those of the proposed machine learning-based approach across various simulation runs, considering average Signal-to-Interference-plus-Noise Ratio (SINR), RSRP, user throughput values, the number of HOs and the Radio Link Failure (RLF) ratio. Different user speeds are also considered to establish a relationship between HO frequency and mobile user speed. The proposed model achieved reducing the rate of radio link failure to levels that are deemed acceptable in order to ensure a continuous connection.

Multi-Access Edge Computing (MEC) is a key technology in the evolution of mobile networks, especially for fifth and sixth generation (5G and 6G). MEC optimises communication and computational resources by hosting application processes close to the user equipment (UE) at the network edge, improving communication reliability and stability while reducing latency. A key feature of MEC is its ultra-low latency response, enabling real-time applications in next-generation networks. However, the mobility of UEs and the limited coverage of edge servers can lead to frequent handovers during the offloading process. As a result, advanced handover management strategies are required to jointly optimise handover and computation offloading. This paper provides a comprehensive overview of handover decision making in MEC systems, with particular emphasis on the challenges and solutions associated with the integration of communication, computation and mobility management. We examine the current state of research, provide an analysis of existing studies, and identify key gaps in the literature. The novelty of this work lies in its holistic approach to exploring the interdependencies between handover management, mobility control and computation offloading, while proposing future research directions. This work provides a forward-looking perspective on how these interrelated issues are likely to evolve, particularly in the context of future mobile networks using MEC technology.

This study aimed to assess the impact of preslaughter handling method and aging on carcass and meat quality traits in goats. Twenty-seven male goats of Ardi breed were assigned into three treatment groups viz., the control (C), ear pulling (EP), and hind-leg pulling (HP). The carcasses were stored for post-mortem aging periods of 1, 7, and 14 days. On day 0 and the respective aging days, samples of the Longissimus thoracic et lumborum (LTL) muscles were collected and examined for various meat quality parameters. The preslaughter handling of goats significantly increase the total bacterial count, total Enterobacteriaceae count, and total Clostridium count. It also had a significant effect on the pH of LTL muscle during aging. A significantly lower values for pH were recorded in the treatment groups (EP and HP) as compared to the pH of the C group on day 1 of aging. Notably, both treatment groups were found to increase the shear force, hardness, and chewiness of the meat, ultimately compromising its quality. The proper treatment of meat animals, especially goats, is crucial for enhancing carcass and meat quality. Careful preslaughter handling practices by avoiding ear and hind-leg pulling can minimize negative impacts on the final product. Therefore, the significance of conducting this study lies in its potential to enhance animal welfare, improve meat quality, boost economic benefits for producers, and foster consumer confidence in meat products.

IntroductionNarrowed tracheal lumen diameter (TLD) in dogs caused by congenital hypoplasia or acquired tracheal stenosis can result in adverse health effects. Standardized tracheal scores calculated from radiographic measurements have been used to assess tracheal diameter however comparisons have not been made to characterize differences in tracheal lumen among breeds.MethodsThe main objective of this study was to compare tracheal scores at three regions of the trachea among non-brachycephalic dogs, non-bulldog brachycephalic dogs, and bulldogs. Medical records and thoracic radiographs of clinically normal dogs were reviewed. The TLDs 79 of three different tracheal regions (caudal cervical, thoracic inlet, and intrathoracic) were standardized by the manubrium length (ML) and thoracic inlet distance (Ti-D) to calculate the manubrium and thoracic inlet tracheal indexes (M-TI and Ti-TI) at each region. Statistical analysis was used to analyze the differences in tracheal scores among the three breed populations.ResultsOverall, M-TI and Ti-TI varied significantly (p

This research exhibits a new configuration of photonic crystals known as annular photonic crystals (APCs) for real-time detection of calcium carbonate (CaCO3) scale in the water pipeline. The proposed sensor features a circular arrangement of porous silicon materials with varying levels of porosity. A central defect layer is incorporated into the design to capture the target analyte, allowing it to detect changes in the refractive index caused by scale formation. To analyze the reflectance spectrum of this structure, a modified transfer matrix method is utilized. An extensive optimization process is conducted based on the characteristics of the defect mode, focusing on various geometric parameters, including layer thickness, porosity levels, core circle radius, and structural periodicity, to achieve optimal sensor performance. The simulation outcomes revealed that at the optimized structure parameters, the sensor offers a remarkable QF, sensitivity, and FoM of 1215, 176.85 nm/RIU, and 350.5 1/RIU, respectively. Moreover, the proposed structure is simple, cost-effective, and compact, which makes it an ideal candidate for the detection of calcium carbonate scales formed in pipes and devices in water supply networks.

We consider black holes with quintessence matter and cloud of strings to study shadow, optical appearance and stability by using the extended generalized uncertainty principle. We first evaluate the relations for modified Hawking temperature, heat capacity, equation of state and remnant mass for the considered model and then plot these relations in order to analyze the quantum correction effects on the stability of the black holes. In the visual plot of specific heat, we observe critical regions where the black hole transitions from being thermodynamically stable to unstable and vice versa. Moreover, we also observe that the regions of stability and instability are not uniform across, suggesting that extended generalized uncertainty principle plays a vital role in thermodynamic properties. We also investigate the silhouette and optical properties of the Lovelock black hole, particularly analyzing illumination with two theoretical models of static accretion. We observe that different values of Lovelock coupling constants significantly influence the size of image and intensities of the black hole.

ABSTRACT: This study explored the ability of formic acid (FA) to replace antibiotics in broiler chicken diets. It examined how FA affected the chickens' growth, carcass characteristics, blood chemistry, and gut bacteria. The experiment randomly assigned 300 one-day-old (Ross 308) broiler chicks to 5 groups, each divided into 6 replicates with 10 unsexed chicks. The following were the treatments: 1st group, negative control (NC): only received a basal diet; 2nd group, positive control (PC): received a basal diet supplemented with 0.5 grams of Colistin antibiotic per kilogram of diet; 3rd, 4th, and 5th groups (FA2, FA4, and FA6) these groups received a basal diet along with formic acid added at increasing levels: 2, 4, and 6 Cm3 per kilogram of diet, respectively. Results found no significant differences in live body weight (LBW) or body weight gain (BWG) between treatment groups, except for LBW at one week and BWG at 0 to 1 and 4 to 5 wk of age. No significant variations were found in feed intake (FI) and feed conversion ratio (FCR) among the treatment groups, excluding FI and FCR at 1 to 2 wk of age. The treatments significantly impacted carcass traits, dressing percentage, breast meat, thigh meat, spleen, giblets, blood levels of urea, creatinine, total protein, globulin, and albumin, as well as the activity of enzymes alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in chicks fed different diets compared to control groups. The addition of FA to the diet significantly impacted antioxidant levels. Also, the FA2 group had the highest total bacterial count (TBC). However, the FA6 group was the opposite; it had the lowest levels of harmful bacteria, such as E. coli and Coliform. Supplementing broiler diets with formic acid improves blood parameters, antioxidant activity, and gut bacteria counts, with 4.0 cm³ formic acid/kg diet supplementation promoting optimal broiler health and product quality.

The rapid growth of the massive smart Internet of Things (IoT) with mobile connections, the enhanced Mobile Broadband (eMBB) and the high demand for building a connected and intelligent world increase the probability of mobile satellite systems to be a major network in providing internet communication services in the future. Currently, the mobile satellite systems are envisioned as a significant solution for providing mobile services in different settings and for various vital objectives. These satellite systems have special qualities in each of these situations, including extensive coverage area, robustness, and ability to broadcast/multicast. The Low Earth Orbit (LEO) systems are the best promising technology that will offer internet services among the different types of satellite systems. However, the LEO systems are still experiencing certain restrictions with respect to connectivity, stability, and mobility support; because of which communication becomes unreliable. Therefore, the aim of this paper is to broadly explain the LEO systems and services in a comprehensive manner using a variety of perspectives. The paper focus is on key aspects of mobile internet based on satellite systems. This paper illustrates the integration of LEO systems with fifth and sixth generations of mobile cellular networks as well as with the IoT networks. It discusses the problems being faced as a result of the integration between cellular with IoT and satellite systems by comprehending which future research plans are outlined.

The evolution of science has given rise to many technologies that have changed the world. The upcoming Six-Generation (6G) mobile network indicates a fundamental transformation in wireless technologies, enhancing connectivity and data transmission rates. In this circumstance, Mobile Edge Computing (MEC) is a paradigm technology that emerges as a key major supporter of enhancing mobility awareness. Edge computing offers improved efficiency for service migration from the edge node to the user. However, mobility management in MEC is a complex challenge as seamless handovers between edge nodes must be efficiently executed to ensure uninterrupted service for mobile devices, demanding intricate coordination and low-latency decision-making. To the best of the author's knowledge, there has been no comprehensive work on the most recent developments in mobility awareness using mobile edge computing in 6G. However, this paper aims to present a general overview of the intersection between mobility awareness and MEC over 6G networks. The general concept of MEC in 6G mobile networks is comprehensively introduced. This will highlight the integration between MEC and 6G for bringing more efficient network and service migration to the edge, reducing latency, and enhancing the user experience. Meanwhile, this survey discusses augmented reality with MEC applications. This survey discusses the integration of mobility awareness and mobile edge computing in upcoming mobile applications and emphasizes the need for 6G networks. This integration results in providing seamless communication during handovers between the serving base station and the target base station. This study contributes to understanding the upcoming trends that will enable the operation of mobility awareness and MEC operation in the 6G mobile communication. Furthermore, we delve into a comprehensive overview of the challenges and future research directions for mobility management with MEC in 6G mobile networks, underlining the complexities and potentials of integrating mobility awareness and mobile edge computing.

The impact of global climate change on the built environment highlights the need for advanced technologies like the Internet of Things (IoT). While also recognizing the importance of traditional building performance evaluations and addressing the complexities of modern building design and operation. As a result, a new generation of building performance assessment tools is crucial to closing the gap between the theoretical and actual operational performance of buildings. The main research question is: how can an IoT user-centric approach to developing performance metrics help achieve more sustainable and efficient buildings? This article examines the necessity of creating a user-centered framework, utilizing IoT technologies and data-driven insights, to evaluate and improve the quality of service in smart buildings. It comprehensively reviews 108 articles to evaluate the potential of individual IoT user-centered control concepts for building systems. The study introduces five IoT occupant-centric KPI modules across seven data domains, providing a thorough approach to measuring the quality of service (QoS) in smart buildings from the user's viewpoint. The paper identifies 43 IoT occupant-centric QoS metrics and measurement methods, offering future opportunities and challenges that help building stakeholders create adaptable, high-performing structures.

This paper explains and applies a numerical technique utilizing the cubic B-spline functions and the mean value theorem (MVT) to solve a general time fractional partial differential equation (FPDE). The MVT for integrals enables us to approximate the time fractional derivatives in an appropriate simple form. We use the cubic B-spline functions to construct the numerical solution and its spatial derivatives. The great advantage of our technique is that it enables us to approximate solutions of many time FPDEs for several choices of F(x, t, u, ux, uxx). Two numerical examples have been included to emphasize the accuracy and efficiency of the method. It is demonstrated that the numerical method is unconditionally stable by employing the Von Neumann method (VNM).

This study investigates the impact of the Stephan blowing and Cattaneo-Christov flux model on bioconvective flow of dusty hybrid nanofluid over a Riga plate in the presence of gyrotactic microorganisms and variable dust particles volume friction. Mass and heat phenomena are explored in the context of Stefan blowing impacts. The hybrid nanofluid consists of nanoparticles of MgO and Ag base fluid water. The Cattaneo-Christov mass and heat flux model has a significant impact on the bioconvective flow. The model predicts a slower temperature distribution and a higher concentration gradient than the traditional Fick's law and Fourier's law, respectively. The occurrence of gyrotactic microorganisms enhance the flow characteristics. This model is important for optimizing mass and heat transfer in a variety of engineering systems, including heating and cooling technologies, where effective thermal control is essential. It can be used by employing the regulated migration of microbes. By maximizing the removal of impurities, it helps with the design of sophisticated water purification systems in environmental engineering. The amalgamation of gyrotactic microorganisms and Stefan blowing effects augments the comprehension of intricate fluid dynamics, maybe resulting in advancements in microfluidic apparatuses and bio-inspired technologies. In order to transform the controlling PDEs into nonlinear ODEs, a new set of non-dimensional variables is used. The MATLAB (RKF-45th) technique is then used to resolve the ODEs numerically. As the Stephan blowing parameter (0.1≤Sb≤1.9) increases, the outcomes show that the flow distributions upsurge for both the dust and fluid phases, but the dust and fluid phase thermal distributions drop.

Abstract Background Mucormycosis is an invasive and possibly fatal fungal infection that frequently affects the mouth. Co-infection in post COVID-19 patients is an emerging concern, owing to their complex nature and higher mortality. Therefore, this study aimed to report the underlying risk factors, clinical characteristics, presentation, and final outcome of COVID-19 associated oral mucormycosis cases. Results This study included 51 patients with oral mucormycosis 28 (55%) males and 23 (45%) females. Twenty-three patients (45%) presented with deep necrotic ulcer, 16 patients (31%) presented with superficial ulcer, and 12 patients (23%) of them presented with fistula. The overall survival rate was 51% (26 patients recovered). On the other hand, mortality rate was 49% (25 patients), of which 68% suffered from uncontrolled diabetes mellitus. Conclusions The mortality rate of COVID-19 associated mucormycosis cases with oral manifestations was found to be quite high mostly due to delayed diagnosis and lack of timely treatment. Thus, increasing the awareness of dentists and maxillofacial surgeons is crucial for the early diagnosis of oral mucormycosis which is vital to improve prognosis of this serious infection. This is of high importance in view of the escalating numbers of mucormycosis cases being recorded worldwide.

Abstract Background Ischemia and no obstructive coronary artery disease (INOCA) is increasingly recognized and associated with poor outcomes. The triglyceride-glucose (TyG) index is a reliable alternative measure of insulin resistance significantly linked to cardiovascular disease and adverse prognosis. We investigated the association between the TyG index and myocardial ischemia and the prognosis in INOCA patients. Methods INOCA patients who underwent both coronary angiography and myocardial perfusion imaging (MPI) were included consecutively. All participants were divided into three groups according to TyG tertiles (T1, T2, and T3). Abnormal MPI for myocardial ischemia in individual coronary territories was defined as summed stress score (SSS) ≥ 4 and summed difference score (SDS) ≥ 2. SSS refers to the sum of all defects in the stress images, and SDS is the difference of the sum of all defects between the rest images and stress images. All patients were followed up for major adverse cardiac events (MACE). Results Among 332 INOCA patients, 113 (34.0%) had abnormal MPI. Patients with higher TyG index had a higher rate of abnormal MPI (25.5% vs. 32.4% vs. 44.1%; p = 0.012). Multivariate logistic analysis showed that a high TyG index was significantly correlated with abnormal MPI in INOCA patients (OR, 1.901; 95% CI, 1.045–3.458; P = 0.035). During the median 35 months of follow-up, 83 (25%) MACE were recorded, and a higher incidence of MACE was observed in the T3 group (T3 vs. T2 vs. T1: 36.9% vs. 21.6% vs. 16.4%, respectively; p = 0.001). In multivariate Cox regression analysis, the T3 group was significantly associated with the risk of MACE compared to the T1 group (HR, 2.338; 95% CI 1.253–4.364, P = 0.008). Conclusion This study indicates for the first time that the TyG index is significantly associated with myocardial ischemia and poor prognosis among INOCA patients.

The purpose of this work is to investigate the construction of fuzzy embedded control systems combining fast execution and parallel processing capabilities provided by Field Programmable Gate Arrays (FPGAs) and Reconfigurable Inputs/Outputs (RIO) chips. A fixed-point fuzzy controller is developed and implemented on a fast mechatronic system with high-speed control and high channel count on an FPGA target. This paper provides a brief introduction to deploying Fuzzy Logic Control (FLC) methods using RIO-FPGA technology. It suggests a technique for implementing the three stages that constitute the FLC and the PD-like FLC and PID-like FLC structures into practice. Controllers with 1 and 2 degrees of freedom are developed and tested experimentally. Parallel loops, key challenging advantage of LabVIEW programming, are utilized for decoding feedback signals, generating pulse trains for actuator's drivers and for calculation of control gains. An NI-SbRIO board that combines deployable devices with a real-time processor, a re-configurable FPGA, and analogue and digital input–output ports is used. The experimental work demonstrates the significant enhancement of implementing reconfigurable embedded fuzzy control upon such mechatronic systems.

In an active magnetic bearings (AMBs) model, every pair of opposite poles is aligned at an angle with the horizontal axis. In some configurations, there is a pair of poles which is in line with the horizontal axis. In other configurations, the same pair of poles might make a nonzero angle with the horizontal axis. This paper focused on the effect of changing such a configuration angle on the control process of an oscillatory rotor in an 8-pole active magnetic bearings model. Adopting the proportional-derivative (PD) control algorithm, the radial or Cartesian control techniques were applied. It was found that the rotor's oscillation amplitudes were not affected by the change in the configuration angle, even if its rotation speed and eccentricity were varied in the radial control scheme. However, the amplitudes were severely affected by the change in the configuration angle except at a specific angle in the Cartesian control scheme. The approximate modulating amplitudes and phases of the rotor's oscillations were extracted by the method of multiple-scales and a stability condition was tested based on the eigenvalues of the corresponding Jacobian matrix.

Abstract An essential research area for scientists is the development of high-performing, inexpensive, non-toxic antibacterial materials that prevent the transfer of bacteria. In this study, pure Bi2WO6 and Bi2WO6/MWCNTs nanocomposite were prepared by hydrothermal method. A series of characterization results by using XRD FTIR, Raman, FESEM, TEM, and EDS analyses, reveal the formation of orthorhombic nanoflakes Bi2WO6 by the addition of NaOH and pH adjustment to 7. Compared to pure Bi2WO6, the Bi2WO6/MWCNTs nanocomposite exhibited that CNTs are efficiently embedded into the structure of Bi2WO6 which results in charge transfer between metal ion electrons and the conduction or valence band of Bi2WO6 and MWCNTs and result in shifting to longer wavelength as shown in UV–visible and PL. The results confirmed that MWCNTs are stuck to the surface of the microflowers, and some of them embedded inside the Bi2WO6 nanoflakes without affecting the structure of Bi2WO6 nanoflakes as demonstrated by TEM. In addition, Pure Bi2WO6 and the Bi2WO6/MWCNTs nanocomposite were tested against P. mirabilis and S. mutans., confirming the effect of addition MWCNTs materials had better antibacterial activity in opposition to both bacterial strains than pure Bi2WO6. Besides, pure Bi2WO6 and the Bi2WO6/MWCNTs nanocomposite tested for cytotoxicity against lung MTT test on Hep-G2 liver cancer cells, and flow-cytometry. Results indicated that pure Bi2WO6 and the Bi2WO6/MWCNTs nanocomposite have significant anti-cancer efficacy against Hep-G2 cells in vitro. In addition, the findings demonstrated that Bi2WO6 and Bi2WO6/MWCNTs triggered cell death via increasing ROS. Based on these findings, it appears that pure Bi2WO6 and the Bi2WO6/MWCNTs nanocomposite have the potential to be developed as nanotherapeutics for the treatment of bacterial infections, and liver cancer.

The current study aimed to investigate the infection of racing pigeons with paramyxovirus-1(PMV-1) based on clinical signs of histological and histochemical changes, which increase the mortality rate in flocks called pigeons paramyxovirus. The study samples were collected from 45 birds from different Mosul city regions suffering from neurological signs considered pathological signs of paramyxovirus infection, like tremors, ataxia, leg and wing paralysis, and torticollis. The study collected some organs from birds most affected by infection with paramyxovirus. They include the heart, brain, liver, and kidneys. Grossly, brain lesions represented 66.6%, heart lesions represented 37.7%, liver lesions represented 55.5%, and kidney lesions represented 42.2%, respectively. The histological examination of these organs showed many histological changes represented by degenerative, necrotic, and inflammatory changes in all the tissue studied, in addition to the presence of vascular changes and fibrosis in some sections. In contrast, the section stained with Masson’s trichrome showed severe deposition of collagen fibers in liver and heart tissues. The conclusion of the current study represented the histopathological histochemical changes in naturally infected racing pigeons with PMV -1. pigeons are considered a serious victim of the virus, which replicates in all body organs, since it is considered a severe threat and problem to poultry flocks.

Abstract In a bid to address the energy-intensive nature of primary aluminum production, this study explores the solid-state recycling of aluminum alloy 6082 chips through direct hot extrusion. Compacted at room temperature, chips were extruded at temperatures (350, 425, and 500 °C) and reduction ratios (6, 8.5, and 11) to optimize mechanical properties. Extensive analyses, including ANOVA and linear regressions, of strength, density, and microstructure revealed significant influences of those extrusion parameters. Optimizing these parameters within the study's aforementioned working ranges can impact the recycled material's strength; with a 36% reduction ratio increase and 20% temperature increase modestly reducing ultimate strength (2%), while a 20% temperature increase alone lowers yield strength more noticeably (9%). These findings highlight the potential for enhanced recycling and sustainable manufacturing.

Objective: This research assesses the utilization of sieved olive pulp (SOP) in the diet of growing rabbits through the use of an exogenous enzyme or dry yeast as a pretreatment. Materials and Methods: One hundred sixty-eight male V-Line rabbits aged 5 weeks (weighing 550 ± 25 gm) were randomly divided into seven groups with eight replicates each as follows: the control group was fed a basal diet without supplementation; while the other six groups were fed basal diets containing 20% and 25% of SOP and supplemented with 0.1 gm/kg Econase (E), 0.5 gm/kg dry yeast (Y), and a combination of both. The experiment lasted for 8 weeks. Results: The results indicated that supplementation of E, Y, and EY into rabbit diets containing SOP improved live body weight, body weight gain, feed conversion ratio, and nutrient digestibil¬ity. A higher dressing percentage was observed in the groups fed a 20% and 25% SOP diet sup¬plemented with EY (p < 0.05). The treated groups showed an increase in total protein, albumin, globulin, A/G ratio, total antioxidant capacity, superoxide dismutase, and glutathione peroxidase (p < 0.05), while there was a significant decrease in triglycerides, total cholesterol, and malondi¬aldehyde levels (p < 0.05) compared to the control. Rabbit groups fed an SOP diet supplemented with E, Y, or EY demonstrated higher (p < 0.05) economic efficiency compared to the control. Conclusion: Supplementing the diet of rabbits containing SOP with exogenous enzymes and/or dry yeast enhances the nutritional value of SOP while improving rabbit performance, nutrient digestibility, and antioxidant status. [J Adv Vet Anim Res 2024; 11(1.000): 161-170]

The rapid evolution of technologies such as the Internet of Things (IoT), 5G, and cloud computing has exponentially increased the complexity of cyber attacks. Modern Intrusion Detection Systems (IDSs) must be capable of identifying not only frequent, well-known attacks but also low-frequency, subtle intrusions that are often missed by traditional systems. The challenge is further compounded by the fact that most IDS rely on black-box machine learning (ML) and deep learning (DL) models, making it difficult for security teams to interpret their decisions. This lack of transparency is particularly problematic in environments where quick and informed responses are crucial. To address these challenges, we introduce the XI2S-IDS framework—an Explainable, Intelligent 2-Stage Intrusion Detection System. The XI2S-IDS framework uniquely combines a two-stage approach with SHAP-based explanations, offering improved detection and interpretability for low-frequency attacks. Binary classification is conducted in the first stage followed by multi-class classification in the second stage. By leveraging SHAP values, XI2S-IDS enhances transparency in decision-making, allowing security analysts to gain clear insights into feature importance and the model’s rationale. Experiments conducted on the UNSW-NB15 and CICIDS2017 datasets demonstrate significant improvements in detection performance, with a notable reduction in false negative rates for low-frequency attacks, while maintaining high precision, recall, and F1-scores.

Many existing control techniques proposed in the literature tend to overlook faults and physical limitations in the systems, which significantly restricts their applicability to practical, real-world systems. Consequently, there is an urgent necessity to advance the control and synchronization of such systems in real-world scenarios, specifically when faced with the challenges posed by faults and physical limitations in their control actuators. Motivated by this, our study unveils an innovative control approach that combines a neural network-based sliding mode algorithm with fuzzy logic systems to handle nonlinear systems. This proposed controller is further enhanced with an intelligent observer that takes into account potential faults and limitations in the control actuator, and it integrates a fuzzy logic engine to regulate its operations, thus reducing system chatter and increasing its adaptability. This strategy enables the system to maintain regulation in the face of control input constraints and faults and ensures that the closed-loop system will achieve convergence within a finite-time frame. The detailed explanation of the control design confirms its finite-time stability. The robust performance of the proposed controller applied to autonomous and non-autonomous systems grappling with control input limitations and faults demonstrates its effectiveness.

The use of sewage sludge activated carbon (thickened samples ACS1 and non-thickened samples ACS2) in a variety of applications and simple environmentally friendly production techniques are attracting more and more attention. We offer here a novel environmentally friendly method based on the green synthesis of activated carbons (ACS1/ACS2) using sewage sludge (SS). These activated carbons are then used to effectively remove the water-based reactive dye phenol red (PR). The ACS1 and ACS2 produced are porous materials with an average diameter of 20.72–13.30 and 6.20–7.34 nm, respectively. These ACS1/ACS2 were analyzed using a range of characterization techniques including X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and Brunauer–Emmett–Teller (BET) analysis. Elimination of toxic PR dye was investigated using several operational factors, including ACS1/ACS2 dose, initial PR dye concentration, pH and temperature. Under the best experimental conditions, the ACS1 and ACS2 adsorbents absorbed nearly 89.58% and 97.69% of the PR dye, respectively. It was found that both ACS1 and ACS2 adsorption corresponded to pseudo-first-order kinetics (R = 0.996 and 0.980) and fulfilled Langmuir’s (ACS1) and Freundlich’s (ACS2) models well, with maximum adsorption capacities of 65.35 and 122.72 mg/g, respectively. It was found that the adsorption processes are basically exothermic. The results suggest that sewage sludge can be effective as a low-cost and environmentally beneficial synthesis of ACS1 and ACS2 in the purification of water sources contaminated with hazardous dyes.

A spectrophotometric method that is sensitive, easy, accurate, exact, reproducible, and verified has been developed for quantifying a new antiepileptic medication called retigabine in both its pure form and pharmaceutical formulations. The techniques employ N-bromosuccinimide (NBS) as an oxidizing agent and three dyes, namely amaranth, methylene blue, and indigo carmine. The three methods rely on the oxidation reaction of retigabine with an excess of N-bromosuccinimide (NBS) in an acidic environment. The unreacted NBS is then quantified by reacting it with fixed amounts of dyes, specifically amaranth, methylene blue, and indigo carmine. The absorbance at 520 nm, 664 nm, and 610 nm is measured for each respective dye. Linear relationships with high correlation coefficients (0.9992-0.9997) were observed under optimal conditions across concentration ranges of 0.5-12, 0.5-16, and 0.5–10 µg/ml. The limit of detection (LOD) for amaranth, methylene blue, and indigo carmine methods were determined to be 0.15, 0.15, and 0.14 µg/ml, respectively. The accuracy and precision of the approaches have been assessed for both intra-day and inter-day measurements. There was no observable interference caused by the typical tablet excipients. The proposed methodologies were verified in compliance with ICH recommendations and effectively utilized for the analysis of retigabine in pharmaceutical formulations. The reliability of the approaches was confirmed by conducting recovery studies employing the usual addition method. The findings produced by the proposed methods were statistically compared to those of the described approach using the student's t-test and F-test, which showed a significant level of agreement.

A finite element model (FEM) was created with the aim of analyzing the behavior of steel fiber reinforced recycled concrete (SFRRC)-filled steel tube columns under combined cyclic loading and monotonic axial load. The FEM considered the effect of steel tube confinement on the inner concrete behavior under cyclic loading. The numerical model was described in detail, with a focus on modeling the materials involved (normal concrete, SFRRC, and steel) under cyclic loading. A constitutive concrete model - with and without considering confinement - was based on utilizing a concrete damaged plasticity (CDP) model. The steel tube - concrete core interface was modeled by a surface-to-surface contact. A stress-strain constitutive concrete model, confined by circular steel tubes, was implemented, and validated using experimental results from the literature. The developed FEM considered various parameters: steel tube thickness, volume ratios of steel fibers, besides strengths of both concrete core and the steel tube. The FEM results showed great similarity to the under- cyclic- loading tested columns. The results indicated that the concrete confining pressure must be considered in CDP model. A good correlation between numerical and experimental findings was obvious, including failure modes, and hysteretic curves of load-displacement.

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease of motor neurons characterized by muscle weakness, muscle twitching, and muscle wasting. ALS is regarded as the third-most frequent neurodegenerative disease, subsequent to Alzheimer's disease (AD) and Parkinson's disease (PD). The World Health Organization (WHO) in 2007 declared that prolonged use of statins may induce development of ALS-like syndrome and may increase ALS risk. Subsequently, different studies have implicated statins in the pathogenesis of ALS. In contrast, results from preclinical and clinical studies highlighted the protective role of statins against ALS neuropathology. Recently, meta-analyses and systematic reviews illustrated no association between long-term use of statins and ALS risk. These findings highlighted controversial points regarding the effects of statins on ALS pathogenesis and risk. The neuroprotective effects of statins against the development and progression of ALS may be mediated by regulating dyslipidemia and inflammatory changes. However, the mechanism for induction of ALS neuropathology by statins may be related to the dysregulation of liver X receptor signaling (LXR) signaling in the motor neurons and reduction of cholesterol, which has a neuroprotective effect against ALS neuropathology. Nevertheless, the exact role of statins on the pathogenesis of ALS was not fully elucidated. Therefore, this narrative review aims to discuss the role of statins in ALS neuropathology.

Various speed scenarios such as high-speed travelling trains and connected drones over ultra-dense heterogeneous networks (HetNets) may result in a large number of handovers (HOs), which may cause further mobility challenges. Therefore, mobility robustness optimization (MRO) function has been proposed to contribute for detecting and correcting the mobility issues including too late HO, too early HO, and HO to the wrong cells. This function can be more effective in reducing these challenges related to mobility when proper optimization settings is performed for the handover control parameters (HCPs) (i.e., time-to-trigger (TTT) and handover margin (HOM)). In this paper, a trigger timer is proposed to reduce the unnecessary HOs. Meanwhile, this work proposes a weighted algorithm for optimizing the HCPs automatically based network experiences. The proposed algorithm rely on various factors for performing the optimization process. That includes, mobile movement speed, network traffic load, and the measurement report of the received signal reference power. Research work conducted by Matlab simulator that implement HetNets that consider Fifth Generation (5G) network and system settings based on 3GPP. Besides, 15 users were investigated using several mobile speed scenarios over Voronoi 5G network. The simulation results show that a significant achievement has been performed by the proposed algorithm as compared to the other algorithms investigated from the literature. The proposed algorithm has minimized the Radio Link Failure (RLF), Handover Ping-Pong (HOPP), Handover Probability (HOP), and handover interruption time by 8.8 %, 6.9 %, 6.7 %, and 344 %, respectively, lower than the other algorithms presented.